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Species assessments at Member State level

Choose a period, a group and then a country. Optionally, further refine your query by selecting one of the available biogeographical regions for that country.

Note: Rows in italic shows data not taken into account when performing the assessments (marginal presence, occasional, extinct prior HD, information, optional reports, etc). For Cladonia subgenus Cladina, Lycopodium and Sphagnum, Member States were asked to report on the group rather than individual species, some also reported for individual species and these are shown in italics (e.g. Sweden also reported Lycopodium zeilleri in the Boreal region).

Legend
FV
Favourable
XX
Unknown
U1
Unfavourable-Inadequate
U2
Unfavourable-Bad
Current selection: 2013-2018, Mammals, None, None.
Member States reports
Species MS Region Range (km2) Population Habitat for the species Future prospects Overall assessment Distribution
area (km2)
Surface Status
(% MS)
Trend FRR
Min
Member State
code
Reporting units Alternative units
Min Max Best value Unit Type of estimate Min Max Best value Unit Type of estimate
SE 110 700 650 i estimate N/A N/A N/A N/A
FI N/A N/A N/A N/A N/A N/A N/A
UK 6912 22032 12340 i interval N/A N/A N/A N/A
ES 1 N/A N/A i minimum N/A N/A 204 grids10x10 estimate
IE 3639 12264 N/A i interval N/A N/A N/A N/A
IT N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
ES N/A N/A 30 i estimate N/A N/A 776 grids10x10 estimate
PT N/A N/A 1406 i mean N/A N/A N/A N/A
DE 6 10 N/A i minimum 11 11 11 grids5x5 minimum
DK 8000 27500 15000 i interval N/A N/A N/A N/A
UK N/A 1 N/A i minimum N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
FR 1500 11000 N/A i interval N/A N/A N/A interval
GR N/A N/A N/A N/A N/A N/A N/A
ES N/A 792 164 i interval N/A N/A 1609 grids10x10 estimate
PT 22 82 42 i interval N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
ES N/A N/A N/A i estimate N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
IE 6 1164 N/A i estimate N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
PT 21 43 30 i interval N/A N/A N/A N/A
ES 16 N/A N/A i minimum N/A N/A 739 grids10x10 N/A
IE 16 1500 N/A i estimate N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
PT N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
ES 4276 10572 9422 i interval N/A N/A 2862 grids10x10 estimate
UK 30 60 40 i estimate N/A N/A N/A N/A
MT N/A N/A 8 i minimum N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
IT N/A N/A 665 i minimum N/A N/A N/A N/A
UK 1927 5753 3330 i interval N/A N/A N/A N/A
IE 374 1628 N/A i interval N/A N/A N/A N/A
FR 135 2400 N/A i interval N/A N/A N/A interval
HR N/A N/A N/A N/A N/A N/A N/A
DK N/A N/A N/A minimum N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A 452 grids10x10 estimate
ES 162 1999 530 i interval N/A N/A 1092 grids10x10 estimate
FR 60 2100 N/A i interval N/A N/A N/A interval
PT N/A N/A 627 i mean N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
GR N/A N/A N/A N/A N/A N/A N/A
HR N/A N/A 46 i minimum N/A N/A 46 grids1x1 minimum
HR N/A N/A 2 i minimum N/A N/A 2 grids1x1 minimum
SE 5000 15000 10000 i estimate N/A N/A 405 grids1x1 estimate
SE 3000 9000 6000 i estimate N/A N/A 241 grids1x1 estimate
BG 10000 18000 N/A i minimum N/A N/A N/A N/A
BG 1000 2500 N/A i minimum N/A N/A N/A N/A
BG 6000 12500 N/A i minimum N/A N/A N/A N/A
PT N/A N/A N/A minimum N/A N/A 290 grids1x1 N/A
PT N/A N/A N/A minimum N/A N/A 8 grids1x1 N/A
HU N/A N/A N/A minimum N/A N/A 962 grids1x1 N/A
SI N/A N/A 49 i minimum 49 57 N/A grids1x1 estimate
GR N/A N/A N/A 108 508 N/A grids5x5 estimate
SI N/A N/A 50 i minimum 50 58 N/A grids1x1 estimate
ES 310 N/A N/A i minimum 156 N/A N/A grids10x10 estimate
ES 12 N/A N/A i estimate N/A N/A 17 grids10x10 estimate
ES 47 N/A N/A i minimum N/A N/A 44 grids10x10 minimum
LV 200 500 N/A i estimate N/A N/A N/A N/A
ES 208 N/A N/A i minimum N/A N/A 54 grids10x10 estimate
RO 1000 2500 N/A i minimum N/A N/A N/A N/A
RO 1000 2000 N/A i minimum N/A N/A N/A N/A
LU 60 120 N/A i estimate N/A N/A N/A N/A
IT 4500 22000 N/A i estimate N/A N/A N/A N/A
CZ 4000 6000 N/A i estimate N/A N/A N/A N/A
IT 4200 21000 N/A i estimate N/A N/A N/A N/A
IT 3800 19000 N/A i estimate N/A N/A N/A N/A
CZ 500 1000 N/A i estimate N/A N/A N/A N/A
FR 5000 10000 N/A i mean N/A N/A N/A mean
FR 5000 10000 N/A i mean N/A N/A N/A mean
FR 6000 10000 N/A i mean N/A N/A N/A mean
FR 5496 30229 N/A i estimate N/A N/A N/A estimate
BE 100 200 N/A i estimate N/A N/A N/A N/A
BE 100 500 N/A i estimate 5 100 N/A iwintering estimate
NL N/A N/A N/A N/A N/A N/A N/A
SK 50000 100000 N/A i estimate N/A N/A N/A N/A
SK 1000 5000 N/A i estimate N/A N/A N/A N/A
AT 150 N/A N/A i minimum 184 N/A N/A grids1x1 minimum
AT 550 N/A N/A i minimum 245 N/A N/A grids1x1 minimum
LT N/A N/A 337 i estimate N/A N/A N/A N/A
UK N/A N/A 5000 i estimate N/A N/A N/A N/A
PL N/A N/A 6500 i minimum N/A N/A N/A N/A
PL N/A N/A 25 i minimum N/A N/A 25 localities estimate
DE 25 100 N/A i estimate 12 12 12 localities estimate
DE N/A N/A N/A i estimate 57 57 57 localities estimate
HR N/A N/A 12 i minimum N/A N/A 12 grids1x1 minimum
DK N/A N/A N/A N/A N/A 10 localities N/A
DE 10000 50000 20000 i estimate 919 951 935 localities estimate
PL N/A N/A 1148 i estimate N/A N/A N/A N/A
RO 50 60 N/A i estimate N/A N/A N/A N/A
SK N/A 5 N/A i estimate N/A N/A N/A N/A
DE 21 21 21 i estimate 21 21 21 i estimate
PL N/A N/A 402 i estimate N/A N/A N/A N/A
RO 60 80 N/A i estimate N/A N/A N/A N/A
CZ 20 30 N/A i estimate N/A N/A N/A N/A
IT 5 15 N/A i estimate N/A N/A N/A N/A
RO 1890 2300 N/A i estimate N/A N/A N/A N/A
SI 112 150 N/A i estimate N/A N/A N/A N/A
RO 800 1000 N/A I estimate N/A N/A N/A N/A
AT N/A N/A N/A 23 N/A N/A grids1x1 minimum
AT N/A N/A N/A 12 N/A N/A grids1x1 minimum
GR N/A N/A N/A N/A N/A 290 bfemales estimate
IT 15 35 N/A i estimate N/A N/A N/A N/A
BG 1755 2195 N/A i minimum N/A N/A N/A N/A
RO 210 250 N/A i estimate N/A N/A N/A N/A
RO 650 820 N/A I estimate N/A N/A N/A N/A
BG 10185 12730 N/A i minimum N/A N/A N/A N/A
RO 6600 7200 N/A i estimate N/A N/A N/A N/A
BG 28060 35070 N/A i minimum N/A N/A N/A N/A
HR N/A N/A 829 i mean N/A N/A N/A N/A
HR N/A N/A 1951 i mean N/A N/A N/A N/A
CZ 30 50 N/A i estimate N/A N/A N/A N/A
SI 638 850 N/A i estimate N/A N/A N/A N/A
HU N/A N/A 18887 i estimate N/A N/A N/A N/A
HR N/A N/A 75 i mean N/A N/A 20 p estimate
GR 907 1134 1020 i estimate N/A N/A N/A N/A
ES 803 1504 803 i estimate 222 N/A N/A grids10x10 minimum
PT N/A N/A 98 i minimum N/A N/A N/A N/A
PT N/A N/A 20 i minimum N/A N/A N/A N/A
ES 421 876 421 i estimate 356 N/A N/A grids10x10 minimum
ES N/A 10 N/A i minimum N/A N/A N/A N/A
FI N/A 3 N/A i estimate N/A N/A N/A N/A
FI 165 190 180 i estimate 22 22 N/A bfemales estimate
AT 6 8 N/A i minimum N/A N/A N/A minimum
AT 23 28 N/A i minimum N/A N/A N/A minimum
HU 40 60 N/A i estimate N/A N/A N/A N/A
PL 896 2288 1592 i estimate N/A N/A N/A interval
PL N/A N/A 294 i estimate N/A N/A N/A N/A
EE 180 260 N/A i mean 19 28 N/A bfemales mean
RO 1500 1800 N/A i estimate N/A N/A N/A N/A
RO 1000 1200 N/A i estimate N/A N/A N/A N/A
BE 2 4 2 i estimate N/A N/A N/A N/A
BE N/A N/A 2 i estimate N/A N/A N/A N/A
DE 125 133 N/A i estimate 60 60 60 p estimate
DE 27 33 N/A i estimate 13 13 13 p estimate
NL N/A N/A N/A N/A N/A N/A N/A
SK 2 10 N/A i estimate N/A N/A N/A N/A
SK 300 600 N/A i estimate N/A N/A N/A N/A
FR 387 477 430 i estimate N/A N/A N/A estimate
IT 329 375 N/A i minimum N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
IT 317 734 N/A i estimate N/A N/A N/A N/A
IT 717 1656 N/A i estimate N/A N/A N/A N/A
FR N/A N/A N/A estimate 62 62 N/A estimate
FR N/A N/A N/A estimate N/A N/A N/A estimate
SE 305 415 352 i mean N/A N/A N/A N/A
HR 83 105 95 i mean 25 26 25.50 p estimate
HR N/A N/A 14 i mean 5 6 5 p estimate
LU 1 2 N/A i estimate 2 N/A N/A grids1x1 minimum
CZ 5 80 N/A i estimate N/A N/A N/A N/A
SE N/A 5 N/A i estimate N/A N/A N/A N/A
SE N/A 10 2 i estimate N/A N/A N/A N/A
SI 23 25 N/A i interval N/A N/A N/A N/A
SI 49 53 N/A i interval N/A N/A N/A N/A
BG 360 540 N/A i minimum N/A N/A N/A N/A
BG 75 110 N/A i minimum N/A N/A N/A N/A
BG 365 550 N/A i minimum N/A N/A N/A N/A
LV 1126 1187 N/A i estimate N/A N/A N/A N/A
LT 136 200 N/A i estimate N/A N/A N/A N/A
GR 800 1500 N/A i estimate N/A N/A N/A N/A
FR N/A N/A N/A N/A N/A N/A N/A
DE N/A N/A 761 i minimum 5 5 5 localities minimum
FR N/A N/A N/A N/A N/A N/A N/A
FR 9500 11000 N/A i estimate N/A N/A N/A estimate
AT 6000 6800 N/A i estimate N/A N/A N/A N/A
IT N/A N/A 16471 i mean N/A N/A N/A N/A
SI 200 215 N/A i minimum N/A N/A N/A N/A
ES 86 N/A N/A i estimate 1 N/A N/A grids10x10 estimate
ES 48000 55000 N/A i estimate 625 N/A N/A grids10x10 minimum
PT N/A N/A 220 i estimate N/A N/A N/A N/A
FR 220 250 N/A i estimate 230 300 N/A adults estimate
PT N/A N/A 152 i estimate N/A N/A N/A N/A
ES 800 1340 982 i estimate 8 N/A N/A grids10x10 N/A
ES 1 1 1 i estimate N/A N/A N/A estimate
LV 58397 79461 N/A i estimate N/A N/A N/A N/A
SI 1000 2000 N/A i estimate N/A N/A 1247 grids1x1 N/A
BE 2000 3000 2000 i minimum 660 1450 660 grids1x1 minimum
BE 360 610 N/A i estimate 586 631 N/A grids1x1 estimate
HR 1724 10344 N/A i estimate N/A N/A N/A N/A
AT 1100 1300 N/A i estimate N/A N/A N/A N/A
DK N/A N/A 46 colonies estimate 166 202 N/A i N/A
ES 1 N/A N/A i minimum N/A N/A N/A N/A
RO 300 350 N/A i estimate N/A N/A N/A N/A
CZ 500 2000 N/A i estimate N/A N/A N/A N/A
RO 800 900 N/A i estimate N/A N/A N/A N/A
CZ 2500 8000 N/A i estimate N/A N/A N/A N/A
RO 40 60 N/A i estimate N/A N/A N/A N/A
SE 3000 7000 5000 i estimate N/A N/A N/A N/A
SE 100000 150000 125000 i estimate N/A N/A N/A N/A
SE 6 20 13 i estimate N/A N/A N/A N/A
ES 617 807 N/A i estimate N/A N/A N/A N/A
PL N/A N/A 1000 i estimate N/A N/A N/A N/A
PL 35000 40000 N/A i estimate N/A N/A N/A N/A
LT 40406 49446 N/A i estimate N/A N/A N/A N/A
EE 12000 15300 N/A i mean N/A N/A N/A N/A
HU N/A N/A 3672 i minimum N/A N/A N/A N/A
RO 1100 1200 N/A i estimate N/A N/A N/A N/A
FR 4000 13000 N/A i estimate N/A N/A N/A estimate
FR 800 2000 N/A i estimate N/A N/A N/A estimate
FR 5000 16000 N/A i estimate N/A N/A N/A estimate
FI 3300 4500 3900 i estimate 1000 1300 1150 colonies estimate
FR 7500 22000 N/A i estimate N/A N/A N/A estimate
NL 1500 3000 N/A i estimate N/A N/A N/A N/A
AT 6000 6500 N/A i estimate N/A N/A N/A N/A
SK 405 1248 N/A i estimate N/A N/A N/A N/A
SK 70 100 N/A i estimate N/A N/A N/A N/A
LU 30 50 N/A i estimate N/A N/A 20 colonies minimum
DE 50 100 N/A i estimate 12 12 12 grids5x5 estimate
DE 1000 5000 N/A i minimum 190 191 190.50 grids5x5 minimum
DE 10000 50000 30000 i estimate 2909 2912 2910.50 grids5x5 estimate
IT 10000 12000 N/A i estimate N/A N/A N/A N/A
FR 1100 1300 N/A i estimate 800 1000 N/A adults estimate
RO 6200 8000 N/A i minimum N/A N/A N/A N/A
PL N/A N/A 49500 i minimum N/A N/A 330 localities estimate
AT N/A N/A N/A N/A N/A 15 grids1x1 minimum
RO 8800 12000 N/A i minimum N/A N/A N/A N/A
HU 369950 2458000 N/A i estimate N/A N/A N/A N/A
BG N/A N/A N/A i minimum N/A N/A N/A minimum
SK 1000 5000 N/A i estimate N/A N/A N/A N/A
SK 1000 5000 N/A i estimate N/A N/A N/A N/A
SI N/A N/A 100 i minimum N/A N/A 2 grids1x1 N/A
DE 10000 50000 20000 i estimate 338 338 338 grids5x5 estimate
BE 10 50 N/A i estimate 9 9 9 grids1x1 estimate
AT 50000 85000 60000 i minimum N/A N/A 830 grids1x1 minimum
NL 200 500 N/A i estimate N/A N/A N/A N/A
DE 3000 7000 5000 i minimum 75 75 75 grids5x5 minimum
HR N/A N/A 4 i minimum N/A N/A 4 grids1x1 minimum
RO 35000 42000 N/A i minimum N/A N/A N/A N/A
RO 2500 3000 N/A i minimum N/A N/A N/A N/A
FR 700 1000 N/A i mean N/A N/A N/A mean
CZ 2000 5000 N/A i estimate N/A N/A N/A N/A
CZ 10000 20000 N/A i estimate N/A N/A N/A N/A
ES N/A N/A 61 grids1x1 minimum N/A N/A N/A N/A
MT N/A N/A 14 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 3192 grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
IE N/A N/A N/A N/A N/A N/A N/A
UK 31735 117203 60988 i interval N/A N/A N/A N/A
PT N/A N/A 946 i minimum N/A N/A N/A N/A
PT N/A N/A 45179 i mean N/A N/A N/A N/A
UK 390 1800 400 i estimate N/A N/A N/A estimate
HR N/A N/A N/A N/A N/A N/A N/A
IT N/A N/A N/A N/A N/A N/A N/A
BG 2629 13076 N/A i estimate N/A N/A N/A N/A
GR 750 4200 N/A i estimate N/A N/A N/A N/A
MT 166 216 N/A i estimate N/A N/A N/A N/A
FR N/A N/A N/A interval N/A N/A N/A interval
FR 143000 403000 N/A i interval N/A N/A N/A interval
NL N/A N/A N/A N/A N/A N/A N/A
IE 47108 123866 N/A i interval N/A N/A N/A N/A
RO 2530 11731 N/A i interval N/A N/A N/A N/A
ES 84394 355197 191106 i interval N/A N/A 1299 grids10x10 estimate
ES 13 N/A N/A i minimum N/A N/A 640 grids10x10 estimate
ES 10292 125502 35478 i interval N/A N/A 308 grids10x10 estimate
HR N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 38 grids1x1 minimum N/A N/A N/A N/A
RO 11500 12200 N/A grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 36 grids1x1 estimate N/A N/A N/A N/A
IT 15 30 N/A grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 199 grids1x1 minimum N/A N/A N/A N/A
SK N/A 1 N/A grids1x1 estimate 50 100 N/A i N/A
SK 12 12 N/A grids1x1 estimate 100 500 N/A i N/A
BG N/A N/A 28 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 81 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A N/A N/A N/A N/A N/A
RO 300 500 N/A grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
RO 34000 37400 N/A grids1x1 minimum N/A N/A N/A N/A
GR N/A N/A 68039 grids1x1 estimate 1944 2504 N/A grids5x5 estimate
CZ 262 262 N/A grids1x1 estimate N/A N/A N/A N/A
LV N/A N/A 14 grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 2511 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 553 grids1x1 estimate N/A N/A N/A N/A
IT 8 10 N/A grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 109 grids1x1 minimum N/A N/A N/A N/A
RO 2200 2600 N/A grids1x1 minimum N/A N/A N/A N/A
SI N/A N/A 18 grids1x1 minimum N/A N/A N/A N/A
AT N/A N/A 108 grids1x1 minimum 1000 18000 N/A i minimum
AT N/A N/A 9 grids1x1 minimum 9 1600 N/A i N/A
DE N/A N/A 1 grids1x1 estimate 1 1 1 localities estimate
CY N/A N/A 1 grids1x1 estimate 1 10 N/A i estimate
GR N/A N/A 1557 grids1x1 estimate 33 40 N/A grids5x5 estimate
PT N/A N/A 30 grids1x1 minimum N/A N/A N/A N/A
ES 119 N/A N/A grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
IT 1000 25000 N/A grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A N/A N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
FR N/A N/A N/A mean N/A N/A N/A mean
AT 96 N/A N/A grids1x1 minimum N/A N/A N/A N/A
FR N/A N/A N/A mean N/A N/A N/A mean
SI N/A N/A 19 grids1x1 estimate N/A N/A N/A N/A
FR 1800 2000 N/A grids1x1 mean N/A N/A N/A mean
BG N/A N/A 13 grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 7400 grids1x1 minimum N/A N/A N/A N/A
FI 1 100 N/A grids1x1 estimate N/A N/A N/A N/A
DE 40790 40790 40790 grids1x1 estimate 102 121 111.50 localities estimate
DE 429 429 429 grids1x1 estimate 7 7 7 localities estimate
FR 2000 3000 N/A grids1x1 mean N/A N/A N/A mean
DE 2494 2494 2494 grids1x1 estimate N/A N/A N/A localities N/A
RO 100 500 N/A grids1x1 minimum N/A N/A N/A N/A
RO 300 500 N/A grids1x1 minimum N/A N/A N/A N/A
LV N/A N/A 64589 grids1x1 estimate N/A N/A N/A N/A
EE N/A N/A 1448 grids1x1 minimum N/A N/A N/A N/A
HU N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
AT 283 N/A N/A grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 3 grids1x1 estimate N/A N/A N/A i estimate
PL N/A N/A 2000 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 174 grids1x1 estimate 37500 112500 75000 i estimate
SE N/A N/A 467 grids1x1 estimate 800000 2400000 1600000 i estimate
DK N/A N/A N/A N/A N/A 8 localities N/A
SI N/A N/A 6 grids1x1 estimate N/A N/A N/A N/A
LT N/A N/A 845 grids1x1 minimum N/A N/A N/A N/A
CZ 2047 2047 N/A grids1x1 estimate N/A N/A N/A N/A
FI 2146 279800 N/A grids1x1 estimate N/A N/A N/A N/A
SK 883 883 N/A grids1x1 estimate 1000 5000 N/A i N/A
BG N/A N/A 11 grids1x1 minimum N/A N/A N/A N/A
LV N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
AT 311 N/A N/A grids1x1 minimum N/A N/A N/A N/A
PT N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
IT 840 16800 N/A grids1x1 estimate N/A N/A N/A N/A
FR 77400 77400 N/A grids1x1 mean 17260 57533 N/A i mean
FR 197700 200000 N/A grids1x1 mean N/A N/A N/A mean
PT N/A N/A 123 grids1x1 minimum N/A N/A N/A N/A
FR 74000 78800 N/A grids1x1 mean N/A N/A N/A mean
FI N/A N/A N/A N/A N/A N/A N/A
FR 36400 36400 N/A grids1x1 mean N/A N/A N/A mean
AT 399 N/A N/A grids1x1 minimum N/A N/A N/A N/A
DK N/A N/A N/A N/A N/A 34 localities N/A
HU N/A N/A 448 grids1x1 minimum N/A N/A N/A N/A
DK N/A N/A N/A N/A N/A 117 localities N/A
SI 171 186 N/A grids1x1 estimate N/A N/A N/A N/A
SI 44 59 N/A grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 13 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 52 grids1x1 minimum N/A N/A N/A N/A
LU N/A N/A 2200 grids1x1 estimate N/A N/A N/A N/A
ES 588 N/A N/A grids1x1 minimum N/A N/A N/A N/A
ES 146 14600 N/A grids1x1 estimate N/A N/A N/A N/A
ES 39 N/A N/A grids1x1 minimum N/A N/A N/A N/A
GR N/A N/A 110214 grids1x1 estimate 519 1019 N/A grids5x5 estimate
IT 1300 26000 N/A grids1x1 estimate N/A N/A N/A N/A
BE N/A N/A 884 grids1x1 estimate N/A N/A N/A N/A
IT 335 6700 N/A grids1x1 estimate N/A N/A N/A N/A
DE 122035 122035 122035 grids1x1 estimate 1444 1505 1474.50 localities estimate
DE 33278 33278 33278 grids1x1 estimate 164 218 191 localities estimate
DE 569 569 569 grids1x1 estimate N/A N/A N/A localities N/A
RO 300 500 N/A grids1x1 minimum N/A N/A N/A N/A
RO 2000 4000 N/A grids1x1 minimum N/A N/A N/A N/A
CZ 4323 4323 N/A grids1x1 estimate N/A N/A N/A N/A
CZ 342 342 N/A grids1x1 estimate N/A N/A N/A N/A
NL N/A N/A 4716 grids1x1 estimate 10000 40000 N/A i estimate
CY N/A N/A 13 grids1x1 estimate 100 200 N/A i estimate
HR N/A N/A 9 grids1x1 minimum N/A N/A N/A N/A
SK 762 762 N/A grids1x1 estimate 10000 20000 N/A i N/A
SE N/A N/A 82 grids1x1 estimate 1000 3000 2000 i N/A
SE N/A N/A 220 grids1x1 estimate 2500 7500 5000 i estimate
LT N/A N/A 628 grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 553 grids1x1 estimate 25 120 N/A iwintering estimate
BG N/A N/A 283 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 61 grids1x1 minimum N/A N/A N/A N/A
SK 1191 1191 N/A grids1x1 estimate 10000 20000 N/A i N/A
RO 500 1500 N/A grids1x1 minimum N/A N/A N/A N/A
UK N/A N/A 3920 grids1x1 minimum 7250 413000 N/A i interval
PL N/A N/A 38300 grids1x1 minimum N/A N/A 80000 i minimum
PL N/A N/A 1800 grids1x1 minimum N/A N/A 10000 i minimum
UK N/A N/A N/A N/A N/A N/A N/A
MT N/A N/A 1070 i minimum N/A N/A N/A N/A
ES 67 N/A N/A i minimum 67 N/A N/A grids10x10 N/A
ES 251 N/A N/A i minimum 25100 N/A N/A grids1x1 estimate
PT N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
ES N/A N/A N/A N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
IE N/A N/A N/A N/A N/A N/A N/A
BG 1090 2960 N/A i minimum N/A N/A N/A N/A
LU 334 N/A N/A i minimum 1359 1699 N/A grids1x1 estimate
FR N/A N/A N/A mean 2600 9100 N/A area mean
HR 403 620 N/A i mean N/A N/A N/A N/A
FR N/A N/A N/A mean 6400 25800 N/A area mean
FR N/A N/A N/A mean 54500 123200 N/A area mean
FR N/A N/A N/A mean 100 1800 N/A area mean
CZ N/A 5 N/A i estimate N/A N/A N/A N/A
HR 1613 1863 N/A i mean N/A N/A N/A N/A
HR N/A N/A 200 i minimum N/A N/A N/A minimum
UK 30 314 N/A i interval N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
SK 100 200 N/A i estimate N/A N/A N/A N/A
SI N/A N/A 84 i minimum 84 88 N/A grids1x1 minimum
SI N/A N/A 39 i minimum 39 43 N/A grids1x1 minimum
PL N/A N/A 100 i minimum N/A N/A N/A N/A
PL N/A N/A 50 i minimum N/A N/A N/A N/A
RO 500 700 N/A i estimate N/A N/A N/A N/A
RO 450 600 N/A i estimate N/A N/A N/A N/A
RO 4850 5390 N/A i estimate N/A N/A N/A N/A
RO 35 40 N/A i estimate N/A N/A N/A N/A
RO 2170 2420 N/A i estimate N/A N/A N/A N/A
GR N/A N/A N/A N/A N/A N/A N/A
DE 1000 5000 2000 i minimum 83 83 83 grids10x10 minimum
BE 2700 5600 N/A i estimate 1457 N/A N/A grids1x1 estimate
BE 2 10 N/A i estimate 2 5 N/A grids1x1 estimate
BG 140 380 N/A i minimum N/A N/A N/A N/A
IT 80 240 N/A i estimate N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
DE 5000 10000 7000 i estimate 1488 1488 1488 grids10x10 estimate
ES 1557 54544 40482 i estimate N/A N/A N/A estimate
ES 256 7861 6656 i estimate N/A N/A N/A estimate
ES 125 3250 3250 i estimate N/A N/A N/A estimate
BG 380 1035 N/A i minimum N/A N/A N/A N/A
HU N/A N/A 582 i minimum N/A N/A N/A N/A
SK 1000 2000 N/A i estimate N/A N/A N/A N/A
IT 57 171 N/A i estimate N/A N/A N/A N/A
IT 297 891 N/A i estimate N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
ES 925 2478 N/A i minimum N/A N/A N/A N/A
FR 150 1000 N/A i minimum N/A N/A N/A minimum
ES 1503 1925 N/A i minimum N/A N/A N/A N/A
FR 324 2160 N/A i minimum N/A N/A N/A minimum
FR 1280 8500 N/A i minimum 100 1000 N/A minimum
ES 6852 7447 N/A i minimum N/A N/A N/A N/A
FR N/A N/A N/A mean 24900 85300 N/A area mean
ES 346 19311 N/A i estimate 20 9511 N/A adults estimate
ES 133 5144 N/A i estimate 2519 2519 N/A adults estimate
PT N/A N/A N/A N/A N/A N/A N/A
FR N/A N/A N/A mean 4200 29200 N/A area mean
PT N/A N/A N/A N/A N/A N/A N/A
ES 2345 143983 N/A i estimate 207 70917 N/A adults estimate
FR N/A N/A N/A mean 9300 33300 N/A area mean
FR N/A N/A N/A mean 800 61000 N/A area mean
ES N/A N/A N/A i interval N/A N/A N/A N/A
UK N/A 3 N/A i estimate N/A N/A N/A estimate
PT N/A N/A 254 i minimum N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
ES 1450 2910 2344 i interval N/A N/A 322 grids10x10 estimate
ES N/A N/A N/A i estimate N/A N/A N/A N/A
FR 100 2500 N/A i interval N/A N/A N/A interval
UK 1 15 15 i estimate N/A N/A N/A estimate
PT N/A N/A N/A N/A N/A N/A N/A
ES 517 7978 1968 i interval N/A N/A N/A N/A
IT N/A N/A N/A N/A N/A N/A N/A
IE 4894 16685 N/A i interval N/A N/A N/A N/A
DK N/A N/A N/A minimum N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
FR 3800 4000 N/A i interval N/A N/A N/A interval
UK 12039 64280 27818 i interval N/A N/A N/A N/A
MT N/A N/A N/A i estimate N/A N/A N/A N/A
ES 1663 31818 6863 i interval N/A N/A N/A N/A
PT 25 252 76 i estimate N/A N/A N/A N/A
ES 3517 33839 10478 i interval N/A N/A 1497 grids10x10 estimate
ES 278 1273 595 i interval N/A N/A 326 grids10x10 estimate
ES N/A 1902 575 i interval N/A N/A N/A N/A
FR 550 5800 N/A i interval N/A N/A N/A interval
FR 200 7800 N/A i interval N/A N/A N/A interval
MT N/A N/A 15 i minimum N/A N/A N/A N/A
GR 100 600 N/A i estimate N/A N/A N/A N/A
IT N/A N/A 100 i minimum N/A N/A N/A N/A
IE 1212 5707 N/A i interval N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
HR N/A N/A N/A N/A N/A N/A N/A
UK 2613 23664 7864 i interval N/A N/A N/A N/A
UK N/A 2 2 i estimate N/A N/A N/A estimate
PT N/A N/A 299 i minimum N/A N/A N/A N/A
PT N/A N/A 1215 i estimate N/A N/A N/A N/A
FI 14000 16000 15000 grids1x1 estimate N/A N/A N/A N/A
SE N/A N/A 2231 grids1x1 estimate 324 489 403 i mean
SE N/A N/A 3874 grids1x1 estimate 175 263 217 i mean
FI 60000 120000 90000 grids1x1 estimate 220 270 245 i N/A
FI 13000 17500 N/A i mean N/A N/A N/A N/A
DK 350 600 500 i mean N/A 3 2 bfemales mean
DK 800 1200 1000 i estimate 6 10 8 bfemales mean
DE 10 200 105 i estimate 10 200 105 i estimate
PT N/A N/A N/A N/A N/A N/A N/A
LT N/A N/A N/A N/A N/A N/A N/A
ES 112 N/A N/A i minimum 46 N/A N/A grids10x10 minimum
LV N/A N/A 3000 i estimate N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
SE 21300 22796 22048 i mean 18600 24800 21300 N/A
IE 7284 9365 N/A i minimum N/A N/A N/A N/A
EE 4900 7400 N/A i interval N/A N/A N/A N/A
SE 23 45 34 i estimate N/A N/A N/A N/A
UK 118500 155200 138700 i interval N/A N/A N/A N/A
PL 1 232 N/A i estimate N/A N/A N/A N/A
NL 2731 5534 N/A i estimate N/A N/A N/A N/A
BE 10 100 N/A i estimate N/A N/A N/A N/A
DE 1179 1179 1179 i minimum 1179 1179 1179 i minimum
FR N/A N/A 1025 i minimum N/A N/A N/A minimum
PT N/A N/A N/A N/A N/A N/A N/A
ES 50000 100000 N/A i estimate 761 N/A N/A grids1x1 minimum
PT N/A N/A N/A N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
UK N/A N/A N/A N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
IE 1372 12683 N/A i estimate N/A N/A N/A N/A
PT N/A N/A 127 i minimum N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
CZ 3 9 N/A grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 12 grids1x1 minimum N/A N/A N/A N/A
PT N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
FR 3000 4000 N/A grids1x1 mean N/A N/A N/A mean
FR 2000 3000 N/A grids1x1 mean 50 60 N/A colonies mean
PT N/A N/A 212 grids1x1 minimum N/A N/A N/A N/A
FR 19000 20000 N/A grids1x1 mean 66934 200801 N/A i mean
DE 14 14 14 grids1x1 estimate 14 14 14 grids1x1 estimate
ES N/A N/A 414 grids1x1 estimate N/A N/A 40 grids10x10 estimate
ES 21 2100 N/A grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 65 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 190 grids1x1 minimum N/A N/A N/A N/A
ES 53 5300 N/A grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
RO 500 1500 N/A grids1x1 minimum N/A N/A N/A N/A
RO 250 500 N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 43 grids1x1 minimum N/A N/A N/A N/A
CZ 5 76 N/A grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 54 grids1x1 minimum N/A N/A N/A N/A
FR 9000 12000 N/A grids1x1 mean 6 10 N/A mean
AT 154 N/A N/A grids1x1 minimum N/A N/A N/A N/A
AT 50 N/A N/A grids1x1 minimum N/A N/A N/A N/A
CY 31 1000 31 grids1x1 estimate N/A N/A N/A N/A
ES 240 24000 N/A grids1x1 estimate N/A N/A N/A N/A
GR N/A N/A 132826 grids1x1 estimate 3708 4865 N/A grids5x5 estimate
IT 1400 28000 N/A grids1x1 estimate N/A N/A N/A N/A
IT 3280 65600 N/A grids1x1 estimate N/A N/A N/A N/A
IT 5000 75000 N/A grids1x1 estimate N/A N/A N/A N/A
SI 46 47 N/A grids1x1 estimate N/A N/A N/A N/A
SI 15 16 N/A grids1x1 estimate N/A N/A N/A N/A
SK 555 555 N/A grids1x1 estimate 9 27 N/A i N/A
MT N/A N/A 71 grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 9 grids1x1 estimate N/A N/A N/A N/A
IT N/A N/A 256 grids1x1 estimate N/A N/A N/A N/A
IT N/A N/A 699 grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
NL N/A N/A N/A N/A N/A N/A N/A
IE N/A N/A N/A N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
ES 2 N/A N/A i minimum N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
IE 1092 3382 N/A i interval N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
UK 7590 109556 28836 i interval N/A N/A N/A N/A
NL 30 150 N/A i estimate N/A N/A N/A N/A
DE 1 5 N/A i minimum 3 3 3 grids5x5 minimum
BE N/A 30 N/A i estimate N/A N/A N/A N/A
DK 19000 62000 36000 i interval N/A N/A N/A N/A
IE 4128 12178 N/A i interval N/A N/A N/A N/A
UK 17346 52483 30172 i interval N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
EE 10000 50000 N/A i estimate N/A N/A N/A N/A
IT N/A N/A N/A N/A N/A N/A N/A
IT N/A N/A N/A N/A N/A N/A N/A
IT N/A N/A 20381 i estimate N/A N/A N/A N/A
IE 338000 999000 N/A i interval N/A N/A N/A N/A
DE N/A N/A N/A i estimate 50 50 50 grids10x10 estimate
FR N/A N/A N/A minimum N/A N/A 11289 area minimum
FR N/A N/A N/A minimum N/A N/A 1 area minimum
FR N/A N/A N/A minimum N/A N/A 208 area minimum
PL 50 100 N/A i estimate N/A N/A N/A N/A
UK 93600 709300 N/A i interval N/A N/A N/A N/A
SE 100000 300000 150000 i estimate N/A N/A N/A N/A
SE 250000 650000 450000 i estimate N/A N/A N/A N/A
SE 300 700 500 i estimate N/A N/A N/A N/A
LT 2000 3000 N/A i minimum N/A N/A N/A N/A
FI 500000 800000 N/A i estimate N/A N/A N/A N/A
FI 2700 14000 N/A i estimate N/A N/A N/A N/A
AT N/A N/A N/A i estimate 233 233 N/A grids1x1 estimate
SI N/A N/A 25 i minimum N/A N/A 25 grids1x1 minimum
LV 9712 10917 N/A i estimate N/A N/A N/A N/A
SE N/A N/A 94 grids1x1 estimate 100 150 125 i estimate
SI 165 166 N/A grids1x1 minimum N/A N/A N/A N/A
HU N/A N/A 1725 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 110 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 92 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 140 grids1x1 estimate 160 240 200 i N/A
PL N/A N/A 49912 grids1x1 estimate N/A N/A N/A N/A
RO 0.14 0.19 N/A grids1x1 mean N/A N/A N/A N/A
PL N/A N/A 4663 grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A N/A grids1x1 estimate N/A N/A N/A N/A
BE 4 9 N/A grids1x1 estimate 5 20 N/A i minimum
UK N/A N/A 21441 grids1x1 minimum N/A N/A 12600 i estimate
CZ N/A 3472 N/A grids1x1 estimate N/A N/A N/A N/A
SI 21 22 N/A grids1x1 minimum N/A N/A N/A N/A
GR N/A N/A 69695 grids1x1 estimate 1048 1548 N/A grids5x5 estimate
LV N/A N/A 2207 grids1x1 estimate 3000 4000 N/A i estimate
BE N/A N/A 7 grids1x1 estimate 3 7 5 i estimate
PT N/A N/A N/A N/A N/A N/A N/A
BG N/A N/A 446 grids1x1 minimum N/A N/A N/A N/A
CZ N/A 129 N/A grids1x1 estimate N/A N/A N/A N/A
EE N/A N/A 281 grids1x1 estimate N/A N/A N/A N/A
IE N/A N/A 2511 grids1x1 estimate 7218 10186 N/A bfemales estimate
RO 0.14 0.19 N/A grids1x1 mean N/A N/A N/A N/A
LT N/A N/A 1670 grids1x1 estimate 3000 4000 N/A i minimum
IT 4694 7234 N/A grids1x1 estimate N/A N/A N/A N/A
RO 0.14 0.19 N/A grids1x1 mean N/A N/A N/A N/A
IT N/A N/A N/A N/A N/A N/A N/A
FR 500 1500 N/A grids1x1 estimate 1000 2000 N/A adults estimate
FR 1000 5000 N/A grids1x1 mean 3000 6000 N/A adults mean
FR 5000 15000 N/A grids1x1 estimate 7900 13500 N/A adults estimate
FR 100 200 N/A grids1x1 mean 300 1200 N/A adults mean
IT 100 114 N/A grids1x1 minimum 8 10 N/A i estimate
SK 1816 1816 N/A grids1x1 estimate 300 550 N/A i N/A
SK 346 346 N/A grids1x1 estimate 100 300 N/A i N/A
HR N/A N/A 31 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 793 grids1x1 minimum N/A N/A N/A N/A
DK N/A N/A N/A N/A N/A 182 grids10x10 N/A
DK N/A N/A N/A N/A N/A 153 grids10x10 N/A
HR N/A N/A 56 grids1x1 minimum N/A N/A N/A N/A
NL N/A N/A 1684 grids1x1 estimate 230 270 N/A i estimate
RO 0.14 0.19 N/A grids1x1 mean N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
ES 605 60500 N/A grids1x1 estimate N/A N/A N/A N/A
ES 2665 266500 N/A grids1x1 estimate N/A N/A N/A N/A
ES 119 11900 N/A grids1x1 estimate N/A N/A N/A N/A
DE 65 65 65 grids1x1 estimate 12 12 12 grids5x5 estimate
DE 2798 2798 2798 grids1x1 minimum 708 715 711.50 grids5x5 minimum
DE 15903 15903 15903 grids1x1 estimate 3057 3075 3066 grids5x5 estimate
RO 0.14 0.19 N/A grids1x1 mean N/A N/A N/A N/A
SE N/A N/A 1229 grids1x1 estimate 3000 4400 3700 i estimate
FI 7480 149600 N/A grids1x1 estimate 2700 3500 N/A i N/A
AT 1555 N/A N/A grids1x1 minimum 850 1650 N/A adults minimum
FI 100 10000 N/A grids1x1 estimate 70 200 N/A i N/A
AT 1354 N/A N/A grids1x1 minimum 1000 1550 N/A adults minimum
HR N/A N/A 5 i estimate N/A N/A N/A N/A
BG N/A N/A N/A i minimum N/A N/A N/A N/A
BG N/A N/A N/A i minimum N/A N/A N/A N/A
LT N/A N/A 150 i minimum N/A N/A N/A N/A
SE N/A 10 5 i N/A N/A N/A N/A
SE 681 1056 903 i mean N/A N/A N/A N/A
SE 159 248 212 i mean N/A N/A N/A N/A
LV 1633 1747 N/A i estimate N/A N/A N/A N/A
GR N/A N/A N/A N/A N/A N/A N/A
SI 9 13 N/A i estimate N/A N/A N/A N/A
SI 1 2 N/A i estimate N/A N/A N/A N/A
CZ 65 100 N/A i estimate N/A N/A N/A N/A
FR 95 151 N/A i estimate N/A N/A N/A estimate
FR 95 151 N/A i estimate N/A N/A N/A estimate
FR 13 21 N/A i estimate N/A N/A N/A estimate
IT N/A N/A 2 i estimate N/A N/A N/A N/A
RO 600 700 N/A i estimate N/A N/A N/A N/A
RO 1500 1700 N/A i estimate N/A N/A N/A N/A
SK 300 400 N/A i estimate N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
DE 47 69 N/A i estimate 16 16 16 bfemales estimate
HU 10 25 N/A i estimate N/A N/A N/A N/A
SK 2 10 N/A i estimate N/A N/A N/A N/A
HR N/A N/A 40 i minimum N/A N/A N/A N/A
BG N/A N/A N/A i minimum N/A N/A N/A N/A
HR N/A N/A 10 i estimate N/A N/A N/A N/A
EE 300 420 N/A i mean 46 64 N/A bfemales mean
AT 5 19 N/A i minimum N/A N/A N/A N/A
AT 12 16 N/A i minimum N/A N/A N/A N/A
PL N/A N/A 56 i minimum N/A N/A N/A N/A
PL N/A N/A 67 i minimum N/A N/A N/A N/A
FI 1865 1990 N/A i estimate 332 375 N/A bfemales estimate
FI 4 6 N/A i estimate N/A N/A N/A N/A
ES 573 576 N/A i estimate 150 151 N/A bfemales estimate
PT N/A N/A 28 i interval N/A N/A N/A N/A
PL 200 400 N/A i estimate N/A N/A 100 localities estimate
SK 850 1200 N/A i estimate N/A N/A N/A N/A
FR N/A N/A N/A mean 6900 27200 N/A area mean
HU N/A N/A 14180 i estimate N/A N/A N/A N/A
IE 2330 3852 3043 i interval N/A N/A N/A N/A
AT 10000 42000 N/A i minimum 1904 N/A N/A grids1x1 minimum
AT 4000 18000 N/A i minimum 1828 N/A N/A grids1x1 minimum
UK 2123 9620 N/A i interval N/A N/A N/A N/A
BE 2000 4000 N/A i estimate 690 N/A N/A grids1x1 estimate
BE 145 305 N/A i estimate 76 91 83 grids1x1 estimate
SK 2000 8000 N/A i estimate N/A N/A N/A N/A
SK 10000 50000 N/A i estimate N/A N/A N/A N/A
SI 500 N/A N/A i minimum N/A N/A 53 grids1x1 minimum
SI N/A N/A 500 i minimum N/A N/A 23 grids1x1 minimum
BG 690 1620 N/A i minimum N/A N/A N/A N/A
BG N/A N/A N/A i minimum N/A N/A N/A N/A
BG 290 680 N/A i minimum N/A N/A N/A N/A
SE 1200 1600 1400 i estimate N/A N/A N/A N/A
SE 3000 5000 4000 i estimate N/A N/A N/A N/A
SE 15000 35000 25000 i estimate N/A N/A N/A N/A
CZ 35000 45000 N/A i estimate N/A N/A N/A N/A
CZ 1500 2500 N/A i estimate N/A N/A N/A N/A
RO 159 177 N/A i minimum N/A N/A N/A N/A
RO 443 493 N/A i minimum N/A N/A N/A N/A
RO 6317 7019 N/A i minimum N/A N/A N/A N/A
DE N/A N/A N/A i estimate 40 40 40 grids10x10 estimate
DE N/A N/A N/A i estimate 132 142 137 grids10x10 estimate
DE N/A N/A N/A i estimate 1382 1395 1388.50 grids10x10 estimate
RO 6773 7526 N/A i minimum N/A N/A N/A N/A
DK N/A N/A N/A N/A N/A N/A N/A
DK N/A N/A N/A N/A N/A N/A N/A
EE 10000 50000 N/A i estimate N/A N/A N/A estimate
ES N/A 9200 N/A i estimate 92 N/A N/A grids10x10 estimate
ES 176 17600 N/A i estimate 176 N/A N/A grids10x10 estimate
ES N/A 15100 N/A i estimate 151 N/A N/A grids10x10 estimate
PT N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
FI 300 1000 N/A i estimate N/A N/A N/A estimate
FI 14000 18000 N/A i estimate N/A N/A N/A N/A
PL N/A N/A 16000 i minimum N/A N/A N/A N/A
PL N/A N/A 2000 i minimum N/A N/A N/A N/A
NL 750 1500 N/A i estimate N/A N/A N/A N/A
FR N/A N/A N/A mean 100200 181600 N/A area mean
FR N/A N/A N/A mean 95900 165400 N/A area mean
FR N/A N/A N/A mean 2400 11500 N/A area mean
LV 21000 24000 N/A i estimate N/A N/A N/A N/A
LU 425 1575 N/A i estimate 1963 2066 N/A grids1x1 estimate
LT 10000 17000 N/A i minimum N/A N/A N/A N/A
GR N/A N/A N/A N/A N/A N/A N/A
IT 313 939 N/A i estimate N/A N/A N/A N/A
IT 47 141 N/A i minimum N/A N/A N/A N/A
IT 227 681 N/A i estimate N/A N/A N/A N/A
HR N/A N/A 999 i mean N/A N/A N/A N/A
HR N/A N/A 3676 i mean N/A N/A N/A N/A
HR N/A N/A 34 i mean N/A N/A N/A N/A
IE 25 12000 N/A i estimate N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
GR N/A N/A N/A N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
NL N/A N/A N/A N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
UK N/A N/A N/A N/A N/A N/A N/A
UK N/A 2 2 i estimate N/A N/A N/A estimate
PT N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
IT N/A N/A N/A N/A N/A N/A N/A
BG 35 70 N/A i minimum N/A N/A N/A N/A
RO 3000 3600 N/A i minimum N/A N/A N/A N/A
BG 578 1158 N/A i minimum N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A 333 i minimum N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
IE 652 7716 N/A i interval N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
ES 7 N/A N/A i minimum N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
ES N/A N/A N/A i estimate N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
IE N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A N/A minimum N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
IE N/A N/A N/A N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
PT N/A N/A N/A minimum N/A N/A N/A N/A
ES N/A N/A 11856 i minimum N/A N/A 741 colonies minimum
PT N/A N/A N/A N/A N/A N/A N/A
NL N/A N/A 1500000 i mean N/A N/A N/A N/A
SK 1000 5000 N/A i estimate N/A N/A N/A N/A
HU 2250 22800 N/A i estimate N/A N/A N/A N/A
AT 117 205 N/A i estimate 22 22 N/A grids1x1 estimate
RO 1200 1400 N/A i minimum N/A N/A N/A N/A
PL N/A N/A 50000 i estimate N/A N/A N/A N/A
SK 500 1000 N/A i estimate N/A N/A N/A N/A
RO 500 1000 N/A i minimum N/A N/A N/A N/A
CY 3000 10000 N/A i estimate N/A N/A N/A N/A
FR 35000 55000 N/A i mean N/A N/A N/A mean
AT N/A N/A 50 i estimate N/A N/A 1 grids1x1 estimate
GR 23000 50000 N/A i estimate N/A N/A N/A N/A
PT N/A N/A N/A 4 N/A N/A grids1x1 minimum
SK 41 1640 N/A i estimate N/A N/A N/A N/A
SK 33 51 N/A i estimate N/A N/A N/A N/A
HR N/A N/A 2200 i minimum N/A N/A N/A N/A
HR N/A N/A 31000 i minimum N/A N/A N/A N/A
FR 40154 66924 N/A i estimate N/A N/A N/A estimate
HR N/A N/A 24000 i minimum N/A N/A N/A N/A
PT 30000 N/A 5 i minimum N/A N/A N/A N/A
BG 71000 91000 N/A i minimum N/A N/A N/A N/A
BG 10500 42000 N/A i minimum N/A N/A N/A N/A
BG 600 5000 N/A i minimum N/A N/A N/A N/A
FR 11500 15000 N/A i mean N/A N/A N/A mean
CZ N/A 1 N/A i N/A N/A N/A N/A
FR 40000 49996 N/A i mean N/A N/A N/A mean
HU 6000 9000 N/A i estimate N/A N/A N/A N/A
IT 1200 6000 N/A i estimate N/A N/A N/A N/A
IT 11000 55000 N/A i estimate N/A N/A N/A N/A
ES 305540 N/A N/A i minimum N/A N/A 556 grids10x10 estimate
ES 12100 N/A N/A i minimum N/A N/A 115 grids10x10 estimate
ES 8052 N/A N/A i minimum 6 N/A N/A grids10x10 minimum
IT 26000 130000 N/A i estimate N/A N/A N/A N/A
SI N/A N/A 1510 i minimum 11 13 N/A grids1x1 estimate
SI N/A N/A 3438 i minimum 33 35 N/A grids1x1 estimate
RO 10000 20000 N/A i minimum N/A N/A N/A N/A
RO 3000 5000 N/A i minimum N/A N/A N/A N/A
AT 25 N/A N/A i minimum N/A N/A 1 grids1x1 estimate
UK 400 800 800 i estimate N/A N/A N/A estimate
ES N/A N/A N/A i estimate N/A N/A N/A N/A
HR N/A N/A N/A N/A N/A N/A N/A
IT N/A N/A 2 i minimum N/A N/A N/A N/A
GR 300 400 N/A i estimate N/A N/A N/A N/A
CY 7 15 7 i estimate N/A N/A N/A N/A
PT 18 22 20 i estimate N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
IT N/A N/A 16888 grids1x1 estimate N/A N/A N/A N/A
DE 1512 1512 1512 grids1x1 estimate 35 36 35.50 grids10x10 estimate
IT N/A N/A 16519 grids1x1 estimate N/A N/A N/A N/A
DE 1354 1354 1354 grids1x1 estimate 13 13 13 grids10x10 estimate
BG N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 217 grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 9 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 25 grids1x1 minimum N/A N/A N/A N/A
GR N/A N/A 59404 grids1x1 estimate 1922 2262 N/A grids5x5 N/A
SI 33 35 N/A grids1x1 minimum N/A N/A N/A N/A
SI 14 15 N/A grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 1800 grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 8 grids1x1 estimate 200 1400 N/A i estimate
PL N/A N/A 13796 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 27254 grids1x1 estimate N/A N/A N/A N/A
NL N/A N/A 32 grids1x1 estimate 100 200 140 bfemales estimate
AT N/A N/A 43 grids1x1 minimum 400 1300 N/A i minimum
SE N/A N/A 1003 grids1x1 estimate 450000 550000 500000 i estimate
SE N/A N/A 53664 grids1x1 estimate 1000000 2000000 1500000 i estimate
AT N/A N/A 121 grids1x1 minimum 1000 3600 N/A i minimum
DK N/A N/A N/A N/A N/A 15 grids10x10 N/A
RO 24500 28000 N/A grids1x1 minimum N/A N/A N/A i N/A
RO 51500 57000 N/A grids1x1 minimum N/A N/A N/A i N/A
RO 500 800 N/A grids1x1 minimum N/A N/A N/A i N/A
RO 3500 4200 N/A grids1x1 minimum N/A N/A N/A i N/A
CZ N/A 1395 N/A grids1x1 estimate N/A N/A N/A N/A
CZ N/A 2 N/A grids1x1 estimate N/A N/A N/A N/A
FR 5000 10000 N/A grids1x1 mean 5000 10000 N/A colonies mean
FR 16400 16400 N/A grids1x1 estimate N/A N/A N/A estimate
DE 67393 67393 67393 grids1x1 estimate 879 889 884 grids10x10 estimate
FR 40000 50000 N/A grids1x1 mean 73300 147800 N/A adults mean
SK 312 312 N/A grids1x1 estimate 1000 5000 N/A i N/A
EE N/A N/A N/A grids1x1 minimum N/A N/A N/A N/A
SK 84 84 N/A grids1x1 estimate 100 500 N/A i N/A
BE N/A N/A 383 grids1x1 estimate 12000 75000 N/A i estimate
LU 1680 2253 N/A grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 7 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 17 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
LV N/A N/A 59 grids1x1 minimum N/A N/A N/A N/A
HU N/A N/A 367 grids1x1 minimum N/A N/A N/A N/A
UK N/A N/A 4169 grids1x1 minimum 388700 2639000 N/A i interval
FR 50000 100000 N/A grids1x1 mean N/A N/A N/A mean
RO 20 30 N/A grids1x1 minimum N/A N/A N/A i N/A
BG N/A N/A 25 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 46 grids1x1 minimum N/A N/A N/A N/A
CZ 3 6 N/A grids1x1 estimate N/A N/A N/A N/A
CZ 4 6 N/A grids1x1 estimate N/A N/A N/A N/A
RO 680 1080 N/A grids1x1 minimum N/A N/A N/A i N/A
AT 80 N/A N/A grids1x1 minimum N/A N/A N/A N/A
SK N/A 1 N/A grids1x1 estimate 100 300 N/A i estimate
RO 220 340 N/A grids1x1 minimum N/A N/A N/A i N/A
RO 100 140 N/A grids1x1 minimum N/A N/A N/A i N/A
SK 1 1 N/A grids1x1 estimate 200 400 N/A i estimate
HU N/A N/A 126 grids1x1 minimum N/A N/A N/A N/A
RO 0.50 0.90 N/A grids1x1 estimate N/A N/A N/A N/A
ES 66 N/A N/A grids1x1 minimum N/A 10 N/A i estimate
ES 13 1300 N/A grids1x1 estimate 6 N/A N/A i minimum
EE N/A N/A 52 grids1x1 estimate 14 80 N/A i interval
DE N/A N/A N/A N/A N/A N/A grids5x5 N/A
ES N/A 521 N/A grids1x1 estimate 426 558 500 i estimate
RO 0.50 0.90 N/A grids1x1 estimate N/A N/A N/A N/A
FR N/A N/A N/A mean 2100 5600 N/A area mean
DK N/A N/A N/A N/A N/A N/A N/A
ES 170 850 N/A i estimate 33 N/A N/A grids10x10 minimum
FI 3000 7000 N/A i estimate N/A N/A N/A N/A
PL N/A N/A 10000 i minimum N/A N/A N/A N/A
PL N/A N/A 1000 i minimum N/A N/A N/A N/A
EE 5000 20000 N/A i estimate N/A N/A N/A N/A
DK N/A N/A N/A N/A N/A N/A N/A
DE N/A N/A N/A i estimate 1334 1364 1351.50 grids10x10 estimate
DE N/A N/A N/A i estimate 176 186 181 grids10x10 estimate
DE N/A N/A N/A i estimate 40 40 40 grids10x10 estimate
NL 10000 100000 N/A i estimate N/A N/A N/A N/A
RO 2800 4300 N/A i minimum N/A N/A N/A N/A
RO 12800 15400 N/A i minimum N/A N/A N/A N/A
RO 1200 1400 N/A i minimum N/A N/A N/A N/A
RO 3200 3400 N/A i minimum N/A N/A N/A N/A
FR N/A N/A N/A mean 1800 7000 N/A area mean
FR N/A N/A N/A mean 87900 178600 N/A area mean
FR N/A N/A N/A mean 46500 129900 N/A area mean
FR N/A N/A N/A mean 2700 16700 N/A area mean
CZ 1000 2000 N/A i estimate N/A N/A N/A N/A
CZ 30000 40000 N/A i estimate N/A N/A N/A N/A
SE 6000 29000 17000 i estimate N/A N/A N/A N/A
SE 4000 11000 7000 i estimate N/A N/A N/A N/A
LV 13612 14391 N/A i estimate N/A N/A N/A N/A
LU 420 N/A N/A i minimum N/A N/A 642 grids1x1 estimate
BG 560 560 N/A i minimum N/A N/A N/A N/A
LT 4000 20000 N/A i minimum N/A N/A N/A N/A
BG 160 160 N/A i minimum N/A N/A N/A N/A
BG 80 80 N/A i minimum N/A N/A N/A N/A
GR N/A N/A N/A N/A N/A 153 grids10x10 estimate
SI N/A N/A 12 i minimum 12 14 N/A grids1x1 minimum
SI N/A N/A 36 i minimum 36 38 N/A grids1x1 minimum
IT 191 955 N/A i estimate N/A N/A N/A estimate
IT 272 1360 N/A i estimate N/A N/A N/A N/A
IT 58 290 N/A i estimate N/A N/A N/A N/A
SK 1000 3000 N/A i estimate N/A N/A N/A N/A
SK 1000 3000 N/A i estimate N/A N/A N/A N/A
BE 5160 10320 N/A i estimate N/A N/A 549 grids1x1 estimate
BE 2750 8400 5575 i estimate 2750 5800 4275 grids1x1 estimate
HU N/A N/A 26135 i estimate N/A N/A N/A N/A
HR N/A N/A 632 i mean N/A N/A N/A N/A
HR N/A N/A 1777 i mean N/A N/A N/A N/A
HR N/A N/A 236 i mean N/A N/A N/A N/A
UK 67945 99483 83600 i interval N/A N/A N/A N/A
AT 14000 40000 N/A i minimum 1757 1757 N/A grids1x1 N/A
AT 10000 30000 N/A i minimum 1335 1335 N/A grids1x1 minimum
PT N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
ES 9400 47000 N/A i estimate 1074 N/A N/A grids10x10 N/A
ES 1800 9200 N/A i estimate 415 N/A N/A grids10x10 N/A
GR N/A N/A N/A N/A N/A N/A N/A
BG N/A N/A 10 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 86 grids1x1 minimum N/A N/A N/A N/A
ES 63 N/A N/A grids1x1 minimum 63 N/A N/A localities minimum
GR N/A N/A 17006 grids1x1 estimate 100 500 N/A grids5x5 estimate
IT 4 20 N/A grids1x1 estimate N/A N/A N/A N/A
IT 2 20 N/A grids1x1 estimate N/A N/A N/A N/A
AT 11 N/A N/A grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 4 grids1x1 estimate 62 188 125 i estimate
HR N/A N/A 9 grids1x1 minimum N/A N/A N/A N/A
AT 31 N/A N/A grids1x1 minimum N/A N/A N/A N/A
FR 1400 2000 N/A grids1x1 mean N/A N/A N/A mean
FR 14000 15000 N/A grids1x1 mean N/A N/A N/A mean
FR 18000 100000 N/A grids1x1 mean N/A N/A N/A mean
FR 1400 2000 N/A grids1x1 mean N/A N/A N/A mean
DE 6043 6043 6043 grids1x1 estimate 137 137 137 grids5x5 estimate
LU 3 12 N/A grids1x1 estimate N/A N/A N/A N/A
CZ 183 183 N/A grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
CZ 86 86 N/A grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 6 grids1x1 minimum N/A N/A N/A N/A
SK 34 34 N/A grids1x1 estimate 2 404 N/A i N/A
DE N/A N/A 9 grids1x1 estimate 6 6 6 grids5x5 estimate
UK N/A N/A 25 grids1x1 estimate N/A N/A N/A N/A
ES 10 N/A N/A grids1x1 minimum 10 N/A N/A localities minimum
ES 3 N/A N/A grids1x1 minimum 3 N/A N/A localities minimum
BE 40 N/A 40 grids1x1 minimum N/A N/A N/A N/A
HU N/A N/A 119 grids1x1 minimum N/A N/A N/A N/A
SI N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
SI N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 12 grids1x1 minimum N/A N/A N/A N/A
GR N/A N/A 96750 grids1x1 estimate 850 1601 N/A grids5x5 N/A
SI N/A N/A 13 i minimum 13 17 N/A grids1x1 estimate
SK 32 790 N/A i estimate N/A N/A N/A N/A
ES 4 300 N/A i estimate 1 N/A N/A grids10x10 minimum
CZ 500 1000 N/A i estimate N/A N/A N/A N/A
FR 1400000 2000000 N/A i mean 37000 39000 N/A grids10x10 mean
FR 1000 10000 N/A i mean 21300 310000 N/A area mean
RO 500 1000 N/A i minimum N/A N/A N/A N/A
ES 19 27 N/A i estimate N/A N/A 9 grids10x10 estimate
DE N/A N/A N/A i minimum 9 9 9 grids5x5 minimum
DE N/A N/A N/A i estimate 91 98 94.50 grids5x5 estimate
IT 4000 21000 N/A i estimate N/A N/A N/A N/A
HR N/A N/A 6 i minimum N/A N/A 6 grids1x1 minimum
HR N/A N/A 20 i minimum N/A N/A 20 grids1x1 minimum
IT 3000 15000 N/A i estimate N/A N/A N/A N/A
BE 200 1100 N/A i estimate 15 40 N/A iwintering estimate
BE 500 4000 N/A i estimate 50 125 N/A iwintering estimate
SI 10 N/A N/A i minimum 10 14 N/A grids1x1 estimate
DK N/A N/A N/A N/A N/A 2 localities N/A
LU 2500 5000 N/A i estimate N/A N/A N/A N/A
SE 100 300 200 i estimate N/A N/A 7 grids1x1 estimate
ES 599 N/A N/A i minimum N/A N/A 44 grids10x10 estimate
AT 200 N/A N/A i minimum 87 N/A N/A grids1x1 minimum
PL N/A N/A 17 i minimum N/A N/A 17 grids1x1 minimum
BG 11445 22889 N/A i minimum N/A N/A N/A N/A
BG 6512 10726 N/A i minimum N/A N/A N/A N/A
BG 4021 8043 N/A i minimum N/A N/A N/A N/A
RO 500 700 N/A i minimum N/A N/A N/A N/A
HR N/A N/A 8 i minimum N/A N/A 8 grids1x1 minimum
GR N/A N/A N/A 103 503 N/A grids5x5 estimate
AT 200 N/A N/A i minimum 44 N/A N/A grids1x1 minimum
HU N/A N/A N/A minimum N/A N/A 235 grids1x1 N/A
DE N/A N/A N/A i estimate 1331 1335 1333 grids5x5 estimate
PL N/A N/A 3000 i minimum N/A N/A 153 grids1x1 minimum
SK 520 7027 N/A i estimate N/A N/A N/A N/A
CZ 100 500 N/A i estimate N/A N/A N/A N/A
RO 50 100 N/A i minimum N/A N/A N/A N/A
FR 2167 21672 N/A i estimate N/A N/A N/A estimate
FR 3000000 4000000 N/A i mean N/A N/A N/A mean
IT 1500 8000 N/A i estimate N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
UK 10300 55600 N/A i interval N/A N/A N/A N/A
PT N/A N/A N/A minimum N/A N/A 2 grids1x1 N/A
PT N/A N/A N/A minimum N/A N/A 21 grids1x1 N/A
RO 5000 10000 N/A i minimum N/A N/A N/A N/A
CZ N/A 2 N/A i estimate N/A N/A N/A N/A
CY 65 500 N/A i estimate N/A N/A N/A N/A
RO 200 300 N/A i minimum N/A N/A N/A N/A
SK 11 135 N/A i estimate N/A N/A N/A N/A
ES 38546 N/A N/A i estimate 344 N/A N/A grids10x10 N/A
ES 1000 2000 N/A i estimate 34 N/A N/A grids10x10 minimum
CZ N/A N/A N/A i estimate N/A N/A N/A N/A
FR 1000 5000 N/A i mean 3000 4000 N/A grids1x1 mean
FR 3000 5000 N/A i mean 3900 5500 N/A grids1x1 mean
ES 7 N/A N/A i minimum 7 N/A N/A grids10x10 minimum
FR 3000 5000 N/A i mean 3000 3500 N/A grids1x1 mean
BG 100 2500 N/A i minimum N/A N/A N/A N/A
BG 1000 20000 N/A i minimum N/A N/A N/A N/A
BG 3500 5500 N/A i minimum N/A N/A N/A N/A
SK 4127 6280 N/A i estimate N/A N/A N/A N/A
HU N/A N/A N/A minimum N/A N/A 145 grids1x1 N/A
HR N/A N/A 9250 i minimum N/A N/A N/A N/A
IT 4500 22500 N/A i estimate N/A N/A N/A N/A
HR N/A N/A 130 i minimum N/A N/A N/A N/A
PT N/A N/A N/A minimum N/A N/A 62 grids1x1 N/A
AT N/A N/A N/A 11 N/A N/A grids1x1 minimum
HR N/A N/A 400 i minimum N/A N/A N/A N/A
SI N/A N/A 7 i minimum 7 8 N/A grids1x1 N/A
FR 10000 11000 N/A i mean 9000 11000 N/A grids1x1 mean
SI N/A N/A 15 i minimum 15 16 N/A grids1x1 estimate
IT 10000 50000 N/A i estimate N/A N/A N/A N/A
AT 50 N/A N/A i minimum 13 N/A N/A grids1x1 minimum
GR 10000 50000 N/A i estimate N/A N/A N/A N/A
RO 5000 10000 N/A i minimum N/A N/A N/A N/A
IT 9500 48000 N/A i estimate N/A N/A N/A N/A
AT 15 N/A N/A grids1x1 minimum N/A N/A N/A N/A
NL N/A N/A 17 grids1x1 estimate 50 500 250 i estimate
SE N/A N/A 1385 grids1x1 estimate 550000 1650000 1100000 i estimate
DK N/A N/A N/A N/A N/A 5 localities N/A
CZ 76 76 N/A grids1x1 estimate N/A N/A N/A N/A
CZ 1389 1389 N/A grids1x1 estimate N/A N/A N/A N/A
LV N/A N/A 38046 grids1x1 estimate N/A N/A N/A N/A
SI 3 4 N/A grids1x1 minimum N/A N/A N/A N/A
SI 5 6 N/A grids1x1 minimum N/A N/A N/A N/A
IE N/A N/A N/A N/A N/A N/A N/A
FR 1500 1500 N/A grids1x1 mean N/A N/A N/A mean
FR 6600 6600 N/A grids1x1 mean N/A N/A N/A mean
LU N/A N/A 1200 grids1x1 estimate N/A N/A N/A N/A
GR N/A N/A 3152 grids1x1 estimate 69 87 N/A grids5x5 estimate
FR 6600 6600 N/A grids1x1 mean N/A N/A N/A mean
FR 4300 4300 N/A grids1x1 mean N/A N/A N/A mean
PL N/A N/A 2100 grids1x1 minimum 5000 15000 N/A i estimate
PL N/A N/A 6800 grids1x1 minimum 15000 45000 N/A i estimate
LT N/A N/A 103 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
SK 113 113 N/A grids1x1 estimate 789 1461 N/A i N/A
SK 11 11 N/A grids1x1 estimate N/A 50 N/A i N/A
FI 149 81600 N/A grids1x1 estimate N/A N/A N/A N/A
EE N/A N/A 53 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 7 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 9 grids1x1 minimum N/A N/A N/A N/A
AT 45 N/A N/A grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 190 grids1x1 estimate 28000 83000 55000 i estimate
BE N/A N/A 21 grids1x1 minimum 460 2300 N/A iwintering estimate
BE N/A N/A 17 grids1x1 minimum N/A N/A N/A N/A
HU N/A N/A 120 grids1x1 estimate N/A N/A N/A N/A
UK N/A N/A 2662 grids1x1 minimum N/A N/A N/A N/A
IT 20 200 N/A grids1x1 estimate N/A N/A N/A N/A
IT 45 450 N/A grids1x1 estimate N/A N/A N/A N/A
DE 70954 70954 70954 grids1x1 estimate 738 765 751.50 localities estimate
DE 7257 7257 7257 grids1x1 minimum 138 141 139.50 localities minimum
DE 186 186 186 grids1x1 estimate N/A N/A N/A localities N/A
DK N/A N/A N/A N/A N/A N/A localities N/A
IT 800 5000 N/A i estimate N/A N/A N/A N/A
ES 5567 10400 N/A i mean 56 N/A N/A localities minimum
IT 6000 36000 N/A i estimate N/A N/A N/A N/A
HR N/A N/A 2000 i minimum N/A N/A N/A N/A
SI N/A N/A 4 i minimum 4 5 N/A grids1x1 estimate
BG 1000 13000 N/A i minimum N/A N/A N/A N/A
RO 1500 2000 N/A i minimum N/A N/A N/A N/A
RO 300 500 N/A i minimum N/A N/A N/A N/A
HR N/A N/A 150 i minimum N/A N/A N/A N/A
BG 200 1000 N/A i minimum N/A N/A N/A N/A
FR N/A 10 N/A i mean N/A N/A N/A mean
HR N/A N/A 16400 i minimum N/A N/A N/A N/A
RO 50 100 N/A i minimum N/A N/A N/A N/A
FR 11027 19460 N/A i estimate N/A N/A N/A estimate
IT 800 4000 N/A i estimate N/A N/A N/A N/A
SI N/A N/A 12 i minimum 12 13 N/A grids1x1 estimate
GR 7000 10000 N/A i estimate N/A N/A N/A N/A
BG 12000 17000 N/A i minimum N/A N/A N/A N/A
PL 1000 5000 N/A i estimate N/A N/A 179 grids1x1 minimum
FR 40 50 N/A i mean N/A N/A N/A mean
NL 4500 8000 N/A i estimate 4000 5500 4500 bfemales estimate
SE 150 450 300 i estimate N/A N/A 13 grids1x1 estimate
FI N/A N/A N/A N/A N/A N/A N/A
CZ N/A 1 N/A i estimate N/A N/A N/A N/A
RO 100 200 N/A i minimum N/A N/A N/A N/A
FR N/A N/A N/A i estimate N/A N/A N/A estimate
RO 200 400 N/A i minimum N/A N/A N/A N/A
CZ 1 10 N/A i estimate N/A N/A N/A N/A
LU 1 N/A N/A i minimum N/A N/A N/A N/A
RO 300 500 N/A i minimum N/A N/A N/A N/A
EE 1200 2800 N/A i estimate N/A N/A 721 grids1x1 estimate
HR N/A N/A 6 i minimum N/A N/A N/A N/A
PL N/A N/A 9 i minimum N/A N/A 9 grids1x1 minimum
LV 5000 10000 N/A i estimate N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
DK N/A N/A N/A N/A N/A 13 localities N/A
HU N/A N/A N/A minimum N/A N/A 169 grids1x1 N/A
BE 160 270 160 i minimum 160 270 160 iwintering minimum
BE 190 420 N/A i estimate N/A N/A N/A N/A
SK 18 35 N/A i estimate N/A N/A N/A N/A
SK 145 596 N/A i estimate N/A N/A N/A N/A
BG N/A N/A N/A i minimum N/A N/A N/A N/A
DE N/A N/A N/A i minimum 159 160 159.50 grids5x5 minimum
DE N/A N/A N/A i estimate 234 239 236.50 grids5x5 estimate
LT N/A N/A 1355 i estimate N/A N/A N/A N/A
DK N/A N/A N/A N/A N/A 35 localities N/A
SE 700 2100 1400 i estimate N/A N/A 54 grids1x1 estimate
SE N/A N/A 461 grids1x1 estimate 700000 2100000 1400000 i estimate
EE N/A N/A 1135 grids1x1 minimum N/A N/A N/A N/A
SK 699 699 N/A grids1x1 estimate 582 2278 N/A i N/A
FR 590000 650000 N/A grids1x1 mean N/A N/A N/A mean
HR N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 53 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
FR 17000 18000 N/A grids1x1 mean 183608 459021 N/A i mean
LT N/A N/A 498 grids1x1 minimum N/A N/A N/A N/A
HU N/A N/A 464 grids1x1 minimum N/A N/A N/A N/A
IE N/A N/A 1580 grids1x1 minimum 57000 79000 N/A adults estimate
FI 723 151300 N/A grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 1750 grids1x1 estimate N/A N/A N/A N/A
GR N/A N/A 27729 grids1x1 estimate 100 500 N/A grids5x5 estimate
RO 250 500 N/A grids1x1 minimum N/A N/A N/A N/A
RO 1000 2500 N/A grids1x1 minimum N/A N/A N/A N/A
RO 500 1500 N/A grids1x1 minimum N/A N/A N/A N/A
DE 119141 119141 119141 grids1x1 estimate 1731 1810 1770.50 localities estimate
UK N/A N/A 5441 grids1x1 minimum 51000 4454000 N/A i interval
BE N/A N/A 444 grids1x1 minimum 1100 2900 N/A iwintering estimate
BE N/A N/A 739 grids1x1 estimate N/A N/A N/A N/A
DE 15995 15995 15995 grids1x1 minimum 469 505 487 localities minimum
PT N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
PT N/A N/A 237 grids1x1 minimum N/A N/A N/A N/A
DE 2139 2139 2139 grids1x1 estimate 10 10 10 localities estimate
SI 68 77 N/A grids1x1 estimate N/A N/A N/A N/A
LV 20354 39030 N/A grids1x1 estimate N/A N/A N/A N/A
SI 31 40 N/A grids1x1 estimate N/A N/A N/A N/A
FR 90000 130000 N/A grids1x1 mean 9000 12000 N/A grids10x10 mean
SE N/A N/A 218 grids1x1 estimate 38000 112000 75000 i estimate
PL N/A N/A 21600 grids1x1 minimum N/A N/A N/A N/A
IT 800 8000 N/A grids1x1 estimate N/A N/A N/A N/A
IT 160 1600 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 2000 grids1x1 minimum N/A N/A N/A N/A
IT 430 4300 N/A grids1x1 estimate N/A N/A N/A N/A
CZ 6433 6433 N/A grids1x1 estimate N/A N/A N/A N/A
CZ 136 136 N/A grids1x1 estimate N/A N/A N/A N/A
ES 151 15100 N/A grids1x1 estimate 104 N/A N/A localities minimum
ES 51 5100 N/A grids1x1 minimum 18 N/A N/A localities minimum
ES 468 46800 N/A grids1x1 minimum 187 N/A N/A localities minimum
AT 313 N/A N/A grids1x1 minimum N/A N/A N/A N/A
AT 333 N/A N/A grids1x1 minimum N/A N/A N/A N/A
DK N/A N/A N/A N/A N/A 38 localities N/A
DK N/A N/A N/A N/A N/A 119 localities N/A
FR 7000000 10000000 N/A grids1x1 mean 76000 80000 N/A grids10x10 mean
BG N/A N/A 25 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 6 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 9 grids1x1 minimum N/A N/A N/A N/A
NL N/A N/A 1542 grids1x1 estimate 15000 50000 25000 i estimate
SK 286 286 N/A grids1x1 estimate 19 307 N/A i N/A
ES 400 N/A N/A i minimum 87 N/A N/A grids10x10 minimum
BG 1700 17000 N/A i minimum N/A N/A N/A N/A
PL N/A N/A 2600 i minimum N/A N/A N/A N/A
GR 5000 10000 N/A i estimate N/A N/A N/A N/A
AT N/A N/A 2900 i estimate 122 N/A N/A grids1x1 minimum
SK 8 216 N/A i estimate N/A N/A N/A N/A
AT N/A N/A 3500 i estimate 173 N/A N/A grids1x1 minimum
ES 5666 8538 N/A i estimate 196 N/A N/A grids10x10 minimum
CZ 4000 7000 N/A i estimate N/A N/A N/A N/A
CZ 500 1500 N/A i estimate N/A N/A N/A N/A
FR 31200 33000 N/A i mean N/A N/A N/A mean
SK 1666 3713 N/A i estimate N/A N/A N/A N/A
BG 100 700 N/A i minimum N/A N/A N/A N/A
RO 1000 1500 N/A i minimum N/A N/A N/A N/A
RO 1500 2000 N/A i minimum N/A N/A N/A N/A
DE 5426 6016 5686 i mean 2713 3008 2843 localities mean
FR 13705 32892 N/A i estimate N/A N/A N/A estimate
DE N/A N/A N/A i estimate 5 5 5 localities estimate
SI N/A N/A 41 i minimum 41 48 N/A grids1x1 estimate
BE 2600 3000 N/A i estimate N/A N/A N/A estimate
BE 2000 4000 N/A i estimate 1700 2500 N/A iwintering estimate
DE N/A N/A N/A N/A N/A N/A localities N/A
UK N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A N/A minimum N/A N/A 2 grids1x1 N/A
NL 1000 2500 N/A i estimate N/A N/A N/A N/A
HU N/A N/A N/A minimum N/A N/A 163 grids1x1 N/A
PT N/A N/A N/A minimum N/A N/A 53 grids1x1 N/A
FR 30000 35000 N/A i mean N/A N/A N/A mean
IT 7000 41000 N/A i estimate N/A N/A N/A N/A
IT 9000 90000 N/A i estimate N/A N/A N/A N/A
IT 2600 26000 N/A i estimate N/A N/A N/A N/A
PL N/A N/A 1350 i minimum N/A N/A N/A N/A
RO 50 300 N/A i minimum N/A N/A N/A N/A
SI N/A N/A 55 i minimum 55 62 N/A grids1x1 estimate
FR 1500 2500 N/A i mean N/A N/A N/A mean
LU 3500 5000 N/A i estimate N/A N/A N/A N/A
HR N/A N/A 13270 i minimum N/A N/A N/A N/A
BG 200 1500 N/A i minimum N/A N/A N/A N/A
HR N/A N/A 4225 i minimum N/A N/A N/A N/A
HR N/A N/A 44 i minimum N/A N/A N/A N/A
ES 510 N/A 510 i estimate 22 N/A N/A grids10x10 minimum
CY 275 1000 N/A i estimate N/A N/A N/A N/A
HR N/A N/A 5740 i minimum N/A N/A N/A N/A
AT N/A N/A 18500 i estimate 370 N/A N/A grids1x1 minimum
AT N/A N/A 30000 i estimate N/A N/A 308 grids1x1 estimate
BE 2 10 2 i estimate 2 9 2 iwintering estimate
BE 1250 2500 1250 i estimate 900 2300 900 iwintering estimate
BG 4000 4500 N/A i minimum N/A N/A N/A N/A
BG 100 2500 N/A i minimum N/A N/A N/A N/A
BG 2000 22000 N/A i minimum N/A N/A N/A N/A
CZ 40000 50000 N/A i estimate N/A N/A N/A N/A
CZ 1000 2500 N/A i estimate N/A N/A N/A N/A
DE N/A N/A N/A i estimate 2 2 2 localities estimate
DE N/A N/A N/A i estimate 161 162 161.50 localities estimate
DE 500000 1000000 823991 i estimate 1092 1105 1098.50 localities estimate
ES 1000 N/A N/A i estimate 15 N/A N/A grids10x10 estimate
ES 443 N/A N/A i minimum 96 N/A N/A grids10x10 minimum
ES 86344 90595 N/A i estimate 582 N/A N/A grids10x10 estimate
FR 1000 5000 N/A i mean N/A N/A N/A mean
FR 30000 35000 N/A i mean N/A N/A N/A mean
FR 72000 80000 N/A i mean N/A N/A N/A mean
FR 4000 5000 N/A i mean N/A N/A N/A mean
GR 1000 5000 N/A i estimate N/A N/A N/A N/A
HR N/A N/A 305 i minimum N/A N/A N/A N/A
HR N/A N/A 11400 i minimum N/A N/A N/A N/A
HU N/A N/A N/A minimum N/A N/A 421 grids1x1 N/A
IT 8000 80000 N/A i estimate N/A N/A N/A N/A
IT 6000 60000 N/A i estimate N/A N/A N/A N/A
IT 9000 90000 N/A i estimate N/A N/A N/A N/A
LU 3500 5000 N/A i estimate N/A N/A N/A N/A
NL 25 55 N/A i estimate N/A N/A N/A N/A
PL 10000 20000 N/A i estimate N/A N/A N/A N/A
PL 50000 100000 N/A i estimate N/A N/A N/A N/A
PT N/A N/A N/A minimum N/A N/A 2 grids1x1 N/A
PT N/A N/A N/A minimum N/A N/A 138 grids1x1 N/A
RO 5000 10000 N/A i minimum N/A N/A N/A N/A
RO 7000 10000 N/A i minimum N/A N/A N/A N/A
SE 250 750 500 i estimate N/A N/A 20 grids1x1 estimate
SI N/A N/A 36 i minimum 36 45 N/A grids1x1 estimate
SI N/A N/A 95 i minimum 95 104 N/A grids1x1 estimate
SK 4727 22392 N/A i estimate N/A N/A N/A N/A
SK 94 1613 N/A i estimate N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
RO 150 300 N/A grids1x1 minimum N/A N/A N/A N/A
NL N/A N/A 232 grids1x1 estimate 1000 6000 3500 i estimate
AT 351 N/A N/A grids1x1 minimum N/A N/A N/A N/A
AT 282 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 18 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
HU N/A N/A 53 grids1x1 estimate N/A N/A N/A N/A
DK N/A N/A N/A N/A N/A 1 localities N/A
SI 32 39 N/A grids1x1 estimate N/A N/A N/A N/A
SE N/A N/A 293 grids1x1 estimate 60000 180000 120000 i estimate
SE N/A N/A 74 grids1x1 estimate 5000 15000 10000 i estimate
BG N/A N/A 12 grids1x1 minimum N/A N/A N/A N/A
FR 6700 6700 N/A grids1x1 mean N/A N/A N/A mean
SK 22 22 N/A grids1x1 estimate 7 29 N/A i N/A
PL N/A N/A 6600 grids1x1 minimum 10000 20000 N/A i estimate
FR 35700 35700 N/A grids1x1 mean N/A N/A N/A mean
CZ 79 79 N/A grids1x1 estimate N/A N/A N/A N/A
CZ 3148 3148 N/A grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 1900 grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 18 grids1x1 minimum N/A N/A N/A N/A
SK 241 241 N/A grids1x1 estimate 1673 8557 N/A i N/A
DE 907 907 907 grids1x1 estimate 15 15 15 grids5x5 estimate
IE N/A N/A 185 grids1x1 minimum N/A N/A 270 grids10x10 minimum
PL N/A N/A 8900 grids1x1 minimum N/A N/A N/A i N/A
SI 38 45 N/A grids1x1 mean N/A N/A N/A N/A
FR 53700 53700 N/A grids1x1 mean 10000 15000 N/A mean
IT 380 3800 N/A grids1x1 estimate N/A N/A N/A N/A
IT 330 3300 N/A grids1x1 estimate N/A N/A N/A N/A
IT 220 2200 N/A grids1x1 estimate N/A N/A N/A N/A
BE N/A N/A 256 grids1x1 minimum 2680 6700 N/A iwintering estimate
FR 7300 9500 N/A grids1x1 mean N/A N/A N/A mean
BE N/A N/A 362 grids1x1 estimate N/A N/A N/A N/A
DE 60422 60422 60422 grids1x1 estimate 883 907 895 grids5x5 estimate
RO 250 500 N/A grids1x1 minimum N/A N/A N/A minimum
PT N/A N/A 19 grids1x1 minimum N/A N/A N/A N/A
PT N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
GR N/A N/A N/A N/A N/A N/A N/A
LV N/A N/A 22310 grids1x1 estimate N/A N/A N/A N/A
EE N/A N/A 50 grids1x1 minimum N/A N/A N/A N/A
UK N/A N/A 2834 grids1x1 minimum N/A N/A N/A N/A
ES 30 3000 N/A grids1x1 minimum 21 N/A N/A localities minimum
FI 83 63000 N/A grids1x1 estimate N/A N/A N/A N/A
ES 29 2900 N/A grids1x1 minimum 45 N/A N/A localities minimum
ES 54 5400 N/A grids1x1 minimum 32 N/A N/A localities minimum
HR N/A N/A 18 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 26 grids1x1 minimum N/A N/A N/A N/A
DE 6025 6025 6025 grids1x1 estimate 134 136 135 grids5x5 estimate
CY N/A N/A 30 grids1x1 estimate 100 300 N/A i estimate
HR N/A N/A 15 grids1x1 minimum N/A N/A N/A N/A
SI 20 25 N/A grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 15 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 9 grids1x1 minimum N/A N/A N/A minimum
LV N/A N/A 35430 grids1x1 estimate N/A N/A N/A N/A
DK N/A N/A N/A N/A N/A 1 localities N/A
PL N/A N/A 23700 grids1x1 estimate 15000 50000 N/A i estimate
DK N/A N/A N/A N/A N/A 18 localities N/A
HU N/A N/A 140 grids1x1 estimate N/A N/A N/A N/A
UK N/A N/A 3629 grids1x1 minimum 63100 2678000 N/A i interval
SK 147 147 N/A grids1x1 estimate 1177 2418 N/A i N/A
IE N/A N/A 321 grids1x1 minimum N/A N/A 464 grids10x10 minimum
SK 22 22 N/A grids1x1 estimate 95 851 N/A i N/A
RO 300 500 N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 17 grids1x1 minimum N/A N/A N/A N/A
RO 250 400 N/A grids1x1 minimum N/A N/A N/A N/A
EE N/A N/A 40 grids1x1 minimum N/A N/A N/A N/A
DE 23586 23586 23586 grids1x1 minimum 287 313 300 grids5x5 minimum
DE 1649 1649 1649 grids1x1 estimate 20 20 20 grids5x5 estimate
SE N/A N/A 488 grids1x1 estimate 15000 45000 30000 i estimate
SE N/A N/A 117 grids1x1 estimate 1000 3000 2000 i estimate
ES 34 3400 N/A grids1x1 estimate N/A N/A N/A N/A
ES 67 6700 N/A grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 15 grids1x1 minimum N/A N/A N/A N/A
ES 263 26300 N/A grids1x1 estimate N/A N/A N/A N/A
GR N/A N/A 74086 grids1x1 estimate 500 1000 N/A grids5x5 estimate
LT N/A N/A 33 grids1x1 minimum N/A N/A N/A N/A
NL N/A N/A 422 grids1x1 estimate 6000 24000 12000 i estimate
IT 270 2700 N/A grids1x1 estimate N/A N/A N/A N/A
IT 400 4000 N/A grids1x1 estimate N/A N/A N/A N/A
IT 300 3000 N/A grids1x1 estimate N/A N/A N/A N/A
AT 79 N/A N/A grids1x1 minimum N/A N/A N/A N/A
AT 98 N/A N/A grids1x1 minimum N/A N/A N/A N/A
CZ 39 39 N/A grids1x1 estimate N/A N/A N/A N/A
CZ 2818 2818 N/A grids1x1 estimate N/A N/A N/A N/A
FR 180000 240000 N/A grids1x1 mean 12090 24181 N/A i mean
FR 66000 95000 N/A grids1x1 mean 600000 800000 N/A mean
LU N/A N/A 1400 grids1x1 estimate N/A N/A N/A N/A
DE 176667 176667 176667 grids1x1 estimate 1644 1707 1675.50 grids5x5 estimate
FR 300000 400000 N/A grids1x1 mean N/A N/A N/A mean
PT N/A N/A 170 grids1x1 minimum N/A N/A N/A N/A
FR 30000 100000 N/A grids1x1 mean N/A N/A N/A mean
BE N/A N/A 418 grids1x1 minimum 2000 5000 N/A iwintering estimate
PL N/A N/A 400 grids1x1 minimum 5000 15000 N/A i estimate
PT N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
FI 11 6600 N/A grids1x1 estimate N/A N/A N/A N/A
BE N/A N/A 312 grids1x1 estimate N/A N/A N/A N/A
SI 14 19 N/A grids1x1 estimate N/A N/A N/A N/A
IT 3200 16000 N/A i estimate N/A N/A N/A N/A
MT 250 450 N/A i estimate N/A N/A 68 grids1x1 estimate
FR 2000 4000 N/A i mean N/A N/A N/A mean
PT N/A N/A 86 grids1x1 minimum N/A N/A N/A N/A
HU N/A N/A 7 grids1x1 estimate N/A N/A N/A N/A
SK 18 18 N/A grids1x1 estimate 2 1397 N/A i N/A
SK 5 5 N/A grids1x1 estimate 24 3158 N/A i N/A
GR N/A N/A 54409 grids1x1 estimate 100 500 N/A grids5x5 estimate
RO 50 100 N/A grids1x1 minimum N/A N/A N/A N/A
RO 50 100 N/A grids1x1 minimum N/A N/A N/A N/A
ES 892 1500 N/A grids1x1 estimate N/A N/A 15 grids10x10 estimate
ES N/A 1200 N/A grids1x1 estimate N/A 12 N/A grids10x10 estimate
ES 1388 7700 N/A grids1x1 estimate N/A 7700 N/A grids10x10 estimate
CZ N/A 28 N/A grids1x1 estimate N/A N/A N/A N/A
CZ N/A 3 N/A grids1x1 estimate N/A N/A N/A N/A
IT 11 55 N/A grids1x1 estimate N/A N/A N/A N/A
IT 5 25 N/A grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A 128 grids1x1 minimum N/A N/A N/A N/A
PT N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 6 grids1x1 minimum N/A N/A N/A N/A
CY N/A N/A 5 grids1x1 estimate 10 100 N/A i estimate
SI N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
SI N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
FR 1 11 N/A grids1x1 minimum 14 14 N/A grids10x10 minimum
FR 100 1000 N/A grids1x1 mean N/A N/A N/A mean
FR 50 50 N/A grids1x1 mean 400 600 N/A i mean
FR 50 60 N/A grids1x1 estimate 94 566 N/A i estimate
NL N/A N/A N/A N/A N/A N/A N/A
BG N/A N/A 87 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 9 grids1x1 minimum N/A N/A N/A N/A
UK N/A N/A 1138 grids1x1 minimum N/A N/A N/A estimate
PT N/A N/A 19 grids1x1 minimum N/A N/A N/A N/A
PT N/A N/A N/A minimum N/A N/A N/A grids10x10 N/A
BG N/A N/A 246 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 47 grids1x1 minimum N/A N/A N/A N/A
SK 382 382 N/A grids1x1 estimate 188 249 N/A i N/A
SK 557 557 N/A grids1x1 estimate 1383 2586 N/A i N/A
RO 25 60 N/A grids1x1 minimum N/A N/A N/A N/A
HU N/A N/A 183 grids1x1 estimate N/A N/A N/A N/A
IT 570 5700 N/A grids1x1 estimate N/A N/A N/A N/A
IT 670 6700 N/A grids1x1 estimate N/A N/A N/A N/A
IT 400 4000 N/A grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A 566 grids1x1 minimum N/A N/A N/A N/A
CZ 925 925 N/A grids1x1 estimate N/A N/A N/A N/A
CZ 82 82 N/A grids1x1 estimate N/A N/A N/A N/A
SE N/A N/A 11 grids1x1 estimate 150 450 300 i estimate
FR 10000 13000 N/A grids1x1 mean N/A N/A N/A mean
FR 38000 43700 N/A grids1x1 mean N/A N/A N/A mean
FR 33000 36000 N/A grids1x1 minimum N/A N/A N/A minimum
FR 18000 21400 N/A grids1x1 minimum 9247 19651 N/A i minimum
SE N/A N/A 36 grids1x1 estimate 450 1350 900 i estimate
AT 30 N/A N/A grids1x1 minimum N/A N/A N/A N/A
AT 75 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 116 grids1x1 estimate N/A N/A N/A N/A
NL N/A N/A 70 grids1x1 estimate 100 750 450 i estimate
BE N/A N/A 282 grids1x1 minimum N/A N/A N/A N/A
ES 273 27300 N/A grids1x1 estimate N/A N/A N/A N/A
DE 74492 74492 74492 grids1x1 estimate 1226 1231 1228.50 grids5x5 estimate
LV N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
ES 99 9900 N/A grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 1700 grids1x1 estimate N/A N/A N/A N/A
GR N/A N/A 99050 grids1x1 estimate 883 1564 N/A grids5x5 N/A
DK N/A N/A N/A N/A N/A 2 localities N/A
ES 62 6200 N/A grids1x1 estimate N/A N/A N/A N/A
ES 27 2700 N/A grids1x1 estimate N/A N/A N/A N/A
DE 483 483 483 grids1x1 estimate 6 6 6 grids5x5 estimate
LT N/A N/A 421 grids1x1 minimum N/A N/A N/A N/A
DE 10368 10368 10368 grids1x1 estimate 186 190 188 grids5x5 estimate
IE N/A N/A 2445 grids1x1 minimum 63000 113000 N/A i estimate
RO 250 500 N/A grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 800 grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 4300 grids1x1 minimum N/A N/A N/A N/A
SI 19 23 N/A grids1x1 estimate N/A N/A N/A N/A
SI 12 16 N/A grids1x1 estimate N/A N/A N/A N/A
CY N/A N/A 7 grids1x1 estimate 100 300 N/A i estimate
HR N/A N/A 12 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 27 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 21 grids1x1 minimum N/A N/A N/A N/A
RO 1500 3000 N/A grids1x1 minimum N/A N/A N/A N/A
HU N/A N/A 1207 grids1x1 minimum N/A N/A N/A N/A
IT 250 2500 N/A grids1x1 estimate N/A N/A N/A N/A
IT 650 6500 N/A grids1x1 estimate N/A N/A N/A N/A
IT 230 2300 N/A grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 15 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 94 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 11 grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 556 grids1x1 estimate N/A N/A N/A N/A
BE N/A N/A 113 grids1x1 estimate N/A N/A N/A N/A
UK N/A N/A 7695 grids1x1 minimum 20600 2176000 N/A i interval
LT N/A N/A 673 grids1x1 minimum N/A N/A N/A N/A
LU N/A N/A 2300 grids1x1 estimate N/A N/A N/A N/A
GR N/A N/A 66260 grids1x1 estimate 948 1634 N/A grids5x5 estimate
BG N/A N/A 51 grids1x1 minimum N/A N/A N/A N/A
LV 53000 64589 N/A grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 13 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 374 grids1x1 minimum N/A N/A N/A N/A
MT N/A N/A 12 grids1x1 estimate N/A N/A N/A N/A
SK 861 861 N/A grids1x1 estimate 21 634 N/A i N/A
SK 1308 1308 N/A grids1x1 estimate 746 3503 N/A i N/A
NL N/A N/A 2889 grids1x1 estimate 2000 6000 4000 i estimate
PL N/A N/A 800 grids1x1 estimate 10000 20000 N/A i estimate
PL N/A N/A 27700 grids1x1 minimum 50000 75000 N/A i estimate
FR 18000 19000 N/A grids1x1 mean 38 96 N/A i mean
FR 278000 304000 N/A grids1x1 mean N/A N/A N/A mean
FR 40000 42000 N/A grids1x1 mean N/A N/A N/A mean
AT 597 N/A N/A grids1x1 minimum N/A N/A N/A N/A
FR 3700 4000 N/A grids1x1 mean N/A N/A N/A mean
SI 39 44 N/A grids1x1 estimate N/A N/A N/A N/A
SI 17 22 N/A grids1x1 estimate N/A N/A N/A N/A
FI N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
AT 281 N/A N/A grids1x1 minimum N/A N/A N/A N/A
CZ 6095 6095 N/A grids1x1 estimate N/A N/A N/A N/A
CZ 521 521 N/A grids1x1 estimate N/A N/A N/A N/A
ES 55 5500 N/A grids1x1 minimum 7 N/A N/A localities minimum
SE N/A N/A 588 grids1x1 estimate 5000 15000 10000 i estimate
SE N/A N/A 1820 grids1x1 estimate 60000 180000 120000 i estimate
ES 15 1500 N/A grids1x1 minimum 5 N/A N/A localities minimum
RO 5000 10000 N/A grids1x1 minimum N/A N/A N/A N/A
RO 250 500 N/A grids1x1 minimum N/A N/A N/A N/A
DE 1710 1710 1710 grids1x1 estimate 20 20 20 grids5x5 estimate
DE 34772 34772 34772 grids1x1 minimum 460 520 490 grids5x5 minimum
DE 161975 161975 161975 grids1x1 estimate 2716 2738 2727 grids5x5 estimate
EE N/A N/A 549 grids1x1 minimum N/A N/A N/A N/A
DK N/A N/A N/A N/A N/A 114 localities N/A
DK N/A N/A N/A N/A N/A 7 localities N/A
UK 124 N/A N/A i minimum N/A N/A N/A N/A
DK N/A N/A N/A minimum N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
FR N/A N/A N/A estimate N/A N/A N/A estimate
PT N/A N/A N/A N/A N/A N/A N/A
ES 60 60 60 i minimum N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
ES 30 30 30 i minimum N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
ES 56 56 56 i minimum N/A N/A N/A N/A
UK 1 3 3 i estimate N/A N/A N/A estimate
IT N/A N/A N/A N/A N/A N/A N/A
IE N/A N/A 100 i estimate N/A N/A N/A N/A
IT 7500 10000 N/A i minimum N/A N/A N/A N/A
FR 1250 1250 N/A i estimate N/A N/A N/A estimate
CY 2275 3353 N/A i estimate N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
FR N/A N/A 1050 i minimum N/A N/A N/A minimum
IE N/A N/A 4007 i minimum N/A N/A N/A N/A
NL 7029 9028 N/A i estimate N/A N/A N/A N/A
UK 37000 60400 45100 i interval N/A N/A N/A N/A
PL N/A 1 N/A i estimate N/A N/A N/A N/A
DK 4000 5000 4500 i mean N/A N/A N/A N/A
SE 13550 18000 15775 i mean 16000 20000 18000 adults interval
DK 11000 13000 12000 i mean N/A N/A N/A N/A
DE 16430 16430 16430 i minimum 16430 16430 16430 i minimum
SE 1679 2210 1944 i mean 1925 2600 2210 adults interval
DE 10 50 30 i estimate 10 50 30 i estimate
BE 20 100 N/A i estimate N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
FI N/A N/A N/A N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
BG 116 8850 N/A i estimate N/A N/A N/A N/A
DK 23448 77749 42821 i interval N/A N/A N/A N/A
PL N/A N/A 1 i minimum N/A N/A N/A N/A
NL 41300 76800 N/A i estimate N/A N/A N/A N/A
BE 1048 20042 N/A i estimate N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
GR 30 300 N/A i estimate N/A N/A N/A N/A
LV N/A N/A N/A N/A N/A N/A N/A
ES 1350 5406 2898 i interval N/A N/A N/A N/A
FR 13000 47000 N/A i interval N/A N/A N/A interval
SE 100 960 480 i interval N/A N/A N/A N/A
IE 29519 51840 N/A i interval N/A N/A N/A N/A
SE 10623 90744 27313 i interval N/A N/A N/A N/A
UK 163294 239063 197579 i interval N/A N/A N/A N/A
RO 3159 20563 N/A i interval N/A N/A N/A N/A
DE 1913 5275 3198 i interval 1913 5275 3198 i interval
PT N/A N/A 1531 i mean N/A N/A N/A N/A
DE 16450 45906 27000 i interval 16450 45906 27000 i interval
DK 246526 495752 345373 i interval N/A N/A N/A i N/A
FR 130 2900 N/A i interval N/A N/A N/A interval
IE 270 539 N/A i interval N/A N/A N/A N/A
MT N/A N/A 8 i minimum N/A N/A N/A N/A
HR N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A 330 i minimum N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
GR 180 280 N/A i estimate N/A N/A N/A N/A
UK 3455 108313 19343 i interval N/A N/A N/A N/A
UK N/A 74 N/A i estimate N/A N/A N/A N/A
IT N/A N/A N/A N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
ES 569 12986 2492 i interval N/A N/A 2571 grids10x10 estimate
ES 120 418 224 i interval N/A N/A 679 grids10x10 estimate
ES 500 1000 N/A i estimate N/A N/A 131 grids10x10 estimate
FR 80 2700 N/A i interval N/A N/A N/A interval
GR 173 233 N/A grids5x5 estimate N/A N/A N/A N/A
HR N/A N/A 66 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 40 grids1x1 minimum N/A N/A N/A N/A
GR N/A N/A 131402 grids1x1 estimate 2880 4286 N/A grids5x5 estimate
IT 1700 51000 N/A grids1x1 estimate N/A N/A N/A N/A
SK 184 184 N/A grids1x1 estimate 19 81 N/A i N/A
AT 99 N/A N/A grids1x1 minimum N/A N/A N/A N/A
AT 54 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 2 grids1x1 estimate N/A N/A N/A N/A
ES 35 3500 N/A grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 56 grids1x1 minimum N/A N/A N/A N/A
ES 90 9000 N/A grids1x1 estimate N/A N/A N/A N/A
FR 32000 40000 N/A grids1x1 minimum N/A N/A N/A minimum
CZ 1 4 N/A grids1x1 estimate N/A N/A N/A N/A
ES 17 1700 N/A grids1x1 estimate N/A N/A N/A N/A
ES 428 42800 N/A grids1x1 estimate N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
SI 247 256 N/A grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
CZ N/A 2 N/A grids1x1 estimate N/A N/A N/A N/A
FR 200000 300000 N/A grids1x1 minimum N/A N/A N/A minimum
FR 1200000 1500000 N/A grids1x1 minimum N/A N/A N/A minimum
FR 800000 1200000 N/A grids1x1 minimum 102573 410292 N/A i minimum
DE 2436 2436 2436 grids1x1 mean 364 602 454 bfemales mean
BG N/A N/A 259 grids1x1 minimum N/A N/A N/A N/A
CY 72 1000 72 grids1x1 estimate N/A N/A N/A N/A
MT N/A N/A 104 grids1x1 estimate N/A N/A N/A N/A
RO 250 500 N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 7 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 24 grids1x1 minimum N/A N/A N/A N/A
IT 10000 250000 N/A grids1x1 estimate N/A N/A N/A N/A
IT 5000 165000 N/A grids1x1 estimate N/A N/A N/A N/A
RO 1000 1500 N/A grids1x1 minimum N/A N/A N/A N/A
RO 500 1000 N/A grids1x1 minimum N/A N/A N/A N/A
SI 72 81 N/A grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A 939 grids1x1 minimum N/A N/A N/A N/A
PT N/A N/A 9 grids1x1 minimum N/A N/A N/A N/A
ES N/A N/A 50 grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A N/A minimum N/A N/A 9 grids10x10 N/A
BE N/A N/A 768 grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 30 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 6 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 219 grids1x1 minimum N/A N/A N/A N/A
SK 296 296 N/A grids1x1 estimate 17 438 N/A i N/A
SK 754 754 N/A grids1x1 estimate 408 2501 N/A i N/A
NL N/A N/A 3515 grids1x1 estimate 4000 400000 40000 i estimate
LT N/A N/A 1176 grids1x1 minimum 40000 50000 N/A i minimum
AT 112 N/A N/A grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 800 grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 28400 grids1x1 estimate N/A N/A N/A N/A
FR 1000 20000 N/A grids1x1 estimate 18054 31594 N/A i estimate
FR 1000 20000 N/A grids1x1 estimate N/A N/A N/A estimate
FR 1000 10000 N/A grids1x1 minimum N/A N/A N/A minimum
FR 500 2000 N/A grids1x1 estimate N/A N/A N/A estimate
AT 147 N/A N/A grids1x1 minimum N/A N/A N/A N/A
HU N/A N/A 277 grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 422 grids1x1 minimum N/A N/A N/A N/A
UK N/A N/A 793 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 17 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 12 grids1x1 minimum N/A N/A N/A N/A
SI 16 18 N/A grids1x1 estimate N/A N/A N/A N/A
SI 7 9 N/A grids1x1 estimate N/A N/A N/A N/A
FI 162 49600 N/A grids1x1 estimate N/A N/A N/A N/A
DK N/A N/A N/A N/A N/A 117 localities N/A
CZ 2062 2062 N/A grids1x1 estimate N/A N/A N/A N/A
CZ 386 386 N/A grids1x1 estimate N/A N/A N/A N/A
IT 450 4500 N/A grids1x1 estimate N/A N/A N/A N/A
IT 140 1400 N/A grids1x1 estimate N/A N/A N/A N/A
IT 210 2100 N/A grids1x1 estimate N/A N/A N/A N/A
ES N/A N/A 1500 grids1x1 estimate N/A N/A 15 grids10x10 estimate
SE N/A N/A 216 grids1x1 estimate 1500 4500 3000 i estimate
SE N/A N/A 424 grids1x1 estimate 20000 60000 40000 i estimate
DK N/A N/A N/A N/A N/A 36 localities N/A
DE 2083 2083 2083 grids1x1 estimate 16 16 16 grids5x5 estimate
DE 17701 17701 17701 grids1x1 minimum 389 410 399.50 grids5x5 minimum
RO 250 500 N/A grids1x1 minimum N/A N/A N/A N/A
RO 800 1500 N/A grids1x1 minimum N/A N/A N/A N/A
RO 250 500 N/A grids1x1 minimum N/A N/A N/A N/A
DE 101978 101978 101978 grids1x1 estimate 1785 1870 1827.50 grids5x5 estimate
EE N/A N/A 663 grids1x1 minimum N/A N/A N/A N/A
IE N/A N/A 100 grids1x1 minimum 3000 5000 N/A i estimate
GR N/A N/A 60801 grids1x1 estimate 618 866 N/A grids5x5 estimate
LU N/A N/A 1500 grids1x1 estimate N/A N/A N/A N/A
LV 45000 64589 N/A grids1x1 estimate N/A N/A N/A N/A
CZ 6546 6546 N/A grids1x1 estimate N/A N/A N/A N/A
BE N/A N/A 2462 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 16800 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 1200 grids1x1 minimum N/A N/A N/A N/A
CZ 196 196 N/A grids1x1 estimate N/A N/A N/A N/A
LT N/A N/A 541 grids1x1 minimum N/A N/A N/A N/A
NL N/A N/A 8952 grids1x1 estimate 200000 600000 400000 i estimate
LU N/A N/A 2787 grids1x1 estimate N/A N/A N/A N/A
SE N/A N/A 47 grids1x1 estimate 588 1762 1175 i estimate
LV 45000 64589 N/A grids1x1 estimate N/A N/A N/A N/A
GR N/A N/A 90605 grids1x1 estimate 2317 3144 N/A grids5x5 estimate
IE N/A N/A 3637 grids1x1 minimum 1070000 2400000 N/A i estimate
SE N/A N/A 36 grids1x1 estimate 450 1350 900 i estimate
IT 3000 90000 N/A grids1x1 estimate N/A N/A N/A N/A
ES 68 6800 N/A grids1x1 estimate N/A N/A N/A N/A
IT 4500 140000 N/A grids1x1 estimate N/A N/A N/A N/A
ES 275 27500 N/A grids1x1 estimate N/A N/A N/A N/A
BE N/A N/A 1300 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 7 grids1x1 minimum N/A N/A N/A N/A
AT 449 N/A N/A grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 12 grids1x1 minimum N/A N/A N/A N/A
FI N/A N/A N/A N/A N/A N/A N/A
BG N/A N/A 30 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 31 grids1x1 minimum N/A N/A N/A N/A
EE N/A N/A 121 grids1x1 minimum N/A N/A N/A N/A
CY 15 100 15 grids1x1 estimate N/A N/A N/A N/A
FR 800000 1200000 N/A grids1x1 minimum 1160880 4464930 N/A i minimum
SK 746 746 N/A grids1x1 estimate 76 375 N/A i N/A
IT 5000 150000 N/A grids1x1 estimate N/A N/A N/A N/A
FR 500000 1000000 N/A grids1x1 minimum N/A N/A N/A minimum
FR 1500000 3000000 N/A grids1x1 minimum N/A N/A N/A minimum
FR 2000000 4000000 N/A grids1x1 minimum N/A N/A N/A minimum
AT 1074 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 57 grids1x1 minimum N/A N/A N/A N/A
PT N/A N/A 1101 grids1x1 minimum N/A N/A N/A N/A
DK N/A N/A N/A N/A N/A 13 localities N/A
DK N/A N/A N/A N/A N/A 41 localities N/A
DE 210428 210428 210428 grids1x1 estimate 2095 2219 2157 grids5x5 estimate
DE 43399 43399 43399 grids1x1 minimum 416 1381 898.50 grids5x5 minimum
DE 3747 3747 3747 grids1x1 estimate 70 70 70 grids5x5 estimate
SK 1228 1228 N/A grids1x1 estimate 472 5079 N/A i N/A
RO 500 2000 N/A grids1x1 minimum N/A N/A N/A N/A
HU N/A N/A 648 grids1x1 minimum N/A N/A N/A N/A
RO 2000 5000 N/A grids1x1 minimum N/A N/A N/A N/A
RO 1000 5000 N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 351 grids1x1 minimum N/A N/A N/A N/A
PT N/A N/A 40 grids1x1 minimum N/A N/A N/A N/A
SI 100 121 N/A grids1x1 estimate N/A N/A N/A N/A
UK N/A N/A 31559 grids1x1 minimum 1100600 7843000 N/A i interval
ES 1528 152800 N/A grids1x1 estimate N/A N/A N/A N/A
MT N/A N/A 119 grids1x1 estimate N/A N/A N/A N/A
SI 138 159 N/A grids1x1 estimate N/A N/A N/A N/A
DE 46874 46874 46874 grids1x1 estimate 1030 1055 1042.50 grids5x5 estimate
SI 100 108 N/A grids1x1 estimate N/A N/A N/A N/A
MT N/A N/A 63 grids1x1 estimate N/A N/A N/A N/A
IE N/A N/A 3759 grids1x1 minimum 500000 1200000 N/A i estimate
CZ 1327 1327 N/A grids1x1 estimate N/A N/A N/A N/A
CZ 4780 4780 N/A grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 9 grids1x1 minimum N/A N/A N/A N/A
PT N/A N/A 639 grids1x1 minimum N/A N/A N/A N/A
PT N/A N/A 6 grids1x1 minimum N/A N/A N/A N/A
CY N/A N/A 13 grids1x1 estimate 20 300 N/A i estimate
BG N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 14 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 90 grids1x1 minimum N/A N/A N/A N/A
ES 1470 147000 N/A grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 847 grids1x1 minimum N/A N/A N/A N/A
ES 275 27500 N/A grids1x1 estimate N/A N/A N/A N/A
ES 37 3700 N/A grids1x1 estimate N/A N/A N/A N/A
BE N/A N/A 35 grids1x1 minimum N/A N/A N/A N/A
AT 445 N/A N/A grids1x1 minimum N/A N/A N/A N/A
AT 239 N/A N/A grids1x1 minimum N/A N/A N/A N/A
FR 5000 13400 N/A grids1x1 minimum N/A N/A N/A minimum
PL N/A N/A 700 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 51 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 195 grids1x1 minimum N/A N/A N/A N/A
FI N/A N/A N/A N/A N/A N/A N/A
SE N/A N/A 677 grids1x1 estimate 115000 345000 230000 i estimate
SE N/A N/A 2589 grids1x1 estimate 1550000 4650000 3100000 i estimate
FR 9200 26800 N/A grids1x1 minimum N/A N/A N/A minimum
DK N/A N/A N/A N/A N/A 15 localities N/A
PL N/A N/A 8400 grids1x1 estimate N/A N/A N/A N/A
SK 49 49 N/A grids1x1 estimate 13 923 N/A i N/A
UK N/A N/A 13687 grids1x1 minimum 2024000 8563000 N/A i interval
BE N/A N/A 41 grids1x1 estimate N/A N/A N/A N/A
SK 155 155 N/A grids1x1 estimate 74 770 N/A i N/A
DK N/A N/A N/A N/A N/A 129 localities N/A
DE 663 663 663 grids1x1 estimate 5 5 5 grids5x5 estimate
LV 25000 64589 N/A grids1x1 estimate N/A N/A N/A N/A
FR 16000 48000 N/A grids1x1 minimum N/A N/A N/A minimum
EE N/A N/A 12 grids1x1 minimum N/A N/A N/A N/A
FR 500000 1000000 N/A grids1x1 minimum 824602 2910360 N/A i minimum
IT 155 1550 N/A grids1x1 estimate N/A N/A N/A N/A
DE 6141 6141 6141 grids1x1 minimum 153 192 172.50 grids5x5 minimum
IT 100 1000 N/A grids1x1 estimate N/A N/A N/A N/A
IT 355 3550 N/A grids1x1 estimate N/A N/A N/A N/A
GR N/A N/A 90236 grids1x1 estimate 503 1003 N/A grids5x5 estimate
SI 25 33 N/A grids1x1 estimate N/A N/A N/A N/A
FR 41200 43800 N/A grids1x1 mean N/A N/A N/A mean
DK N/A N/A N/A N/A N/A 37 localities N/A
DK N/A N/A N/A N/A N/A 1 localities N/A
HR N/A N/A 21 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 32 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 32500 grids1x1 minimum N/A N/A N/A N/A
FI 244 72900 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 600 grids1x1 minimum N/A N/A N/A N/A
PT N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
PT N/A N/A 71 grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 350 grids1x1 minimum 200 550 N/A iwintering estimate
FR 6500 8300 N/A grids1x1 mean N/A N/A N/A mean
DE 162426 162426 162426 grids1x1 estimate 1758 1865 1811.50 grids5x5 estimate
HU N/A N/A 170 grids1x1 minimum N/A N/A N/A N/A
FR 64000 700000 N/A grids1x1 mean N/A N/A N/A mean
CZ 4508 4508 N/A grids1x1 estimate N/A N/A N/A N/A
CZ 128 128 N/A grids1x1 estimate N/A N/A N/A N/A
BE N/A N/A 620 grids1x1 estimate N/A N/A N/A N/A
FR 4490 5000 N/A grids1x1 mean N/A N/A N/A mean
IT 500 9000 N/A grids1x1 estimate N/A N/A N/A N/A
IT 200 2000 N/A grids1x1 estimate N/A N/A N/A N/A
IT 1000 11000 N/A grids1x1 estimate N/A N/A N/A N/A
DE 1986 1986 1986 grids1x1 estimate 20 20 20 grids5x5 estimate
NL N/A N/A 1414 grids1x1 estimate 6000 16000 11000 i estimate
BG N/A N/A 11 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 216 grids1x1 estimate 3500 10500 7000 i estimate
ES 111 11100 N/A grids1x1 estimate N/A N/A N/A N/A
ES 60 6000 N/A grids1x1 estimate N/A N/A N/A N/A
ES 169 16900 N/A grids1x1 estimate N/A N/A N/A N/A
SE N/A N/A 1582 grids1x1 estimate 75000 225000 150000 i estimate
LT N/A N/A 148 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 17 grids1x1 minimum N/A N/A N/A N/A
LV 44135 62364 N/A grids1x1 estimate N/A N/A N/A N/A
EE N/A N/A 307 grids1x1 minimum N/A N/A N/A N/A
AT 54 N/A N/A grids1x1 minimum N/A N/A N/A N/A
AT 90 N/A N/A grids1x1 minimum N/A N/A N/A N/A
IE N/A N/A 571 grids1x1 minimum 62000 97000 N/A adults estimate
RO 100 300 N/A grids1x1 minimum N/A N/A N/A N/A
RO 250 400 N/A grids1x1 minimum N/A N/A N/A N/A
RO 25 100 N/A grids1x1 minimum N/A N/A N/A N/A
DE 17713 17713 17713 grids1x1 estimate 191 242 216.50 grids5x5 estimate
LU N/A N/A 1400 grids1x1 estimate N/A N/A N/A N/A
GR N/A N/A 18076 grids1x1 estimate 100 500 N/A grids5x5 estimate
SK 120 120 N/A grids1x1 estimate 102 103 N/A i N/A
SK 343 343 N/A grids1x1 estimate 741 2102 N/A i N/A
SI 14 17 N/A grids1x1 estimate N/A N/A N/A N/A
SI 19 22 N/A grids1x1 estimate N/A N/A N/A N/A
UK N/A N/A 14482 grids1x1 minimum 97000 2245000 N/A i interval
HR N/A N/A 25 grids1x1 minimum N/A N/A N/A N/A
CZ 98 98 N/A grids1x1 estimate N/A N/A N/A N/A
CZ 1323 1323 N/A grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 48 grids1x1 minimum N/A N/A N/A N/A
UK N/A N/A 108 grids1x1 minimum 400 3000 N/A i interval
GR N/A N/A 41332 grids1x1 estimate 100 500 N/A grids5x5 estimate
FR 12700 14300 N/A grids1x1 mean N/A N/A N/A mean
BG N/A N/A 7 grids1x1 minimum N/A N/A N/A N/A
FR 145600 145600 N/A grids1x1 mean N/A N/A N/A mean
SK 195 195 N/A grids1x1 estimate 250 348 N/A i N/A
SK 82 82 N/A grids1x1 estimate 31 37 N/A i N/A
PL N/A N/A 10300 grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 200 grids1x1 minimum N/A N/A N/A N/A
FR 314500 334000 N/A grids1x1 mean N/A N/A N/A mean
FR 2400 3400 N/A grids1x1 mean N/A N/A N/A mean
BE N/A N/A 175 grids1x1 minimum 5 20 N/A iwintering estimate
BE N/A N/A 131 grids1x1 estimate 800 1600 N/A i estimate
RO 250 500 N/A grids1x1 minimum N/A N/A N/A N/A
RO 250 700 N/A grids1x1 minimum N/A N/A N/A N/A
RO 25 60 N/A grids1x1 minimum N/A N/A N/A N/A
IT 30 300 N/A grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
IT 450 4500 N/A grids1x1 estimate N/A N/A N/A N/A
DE 2554 2554 2554 grids1x1 estimate 28 33 30.50 grids5x5 estimate
IT 50 500 N/A grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A 130 grids1x1 minimum N/A N/A N/A N/A
LU N/A N/A 1300 grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A N/A minimum N/A N/A N/A N/A
PT N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
DE 73827 73827 73827 grids1x1 estimate 223 232 227.50 grids5x5 estimate
AT 13 N/A N/A grids1x1 minimum N/A N/A N/A N/A
ES 100 10000 N/A grids1x1 estimate N/A N/A N/A N/A
SI 24 25 N/A grids1x1 estimate N/A N/A N/A N/A
AT 82 N/A N/A grids1x1 minimum N/A N/A N/A N/A
ES 29 2900 N/A grids1x1 estimate N/A N/A N/A N/A
ES 525 52500 N/A grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 10 grids1x1 minimum N/A N/A N/A N/A
SI 1 2 N/A grids1x1 estimate N/A N/A N/A N/A
NL N/A N/A 103 grids1x1 estimate 350 700 525 i estimate
HU N/A N/A 325 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 2 grids1x1 estimate 25 75 50 i estimate
MT N/A N/A 59 grids1x1 estimate N/A N/A N/A N/A
CY N/A N/A 14 grids1x1 estimate 150 500 N/A i estimate
GR N/A N/A 95187 grids1x1 estimate 503 1003 N/A grids5x5 estimate
HR N/A N/A 28 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 6 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
SI 29 32 N/A grids1x1 estimate N/A N/A N/A N/A
SI 25 28 N/A grids1x1 estimate N/A N/A N/A N/A
ES 25 2500 N/A grids1x1 estimate 46 N/A N/A localities minimum
FR 3000 4000 N/A grids1x1 mean 15 20 N/A colonies mean
FR 30 30 N/A grids1x1 mean 4 6 N/A colonies mean
HR N/A N/A 9 grids1x1 minimum N/A N/A N/A N/A
IT 225 2250 N/A grids1x1 estimate N/A N/A N/A N/A
GR N/A N/A 34253 grids1x1 estimate 100 500 N/A grids5x5 estimate
FR 2 2 N/A grids1x1 mean 2 2 N/A grids10x10 mean
AT 32 N/A N/A grids1x1 minimum N/A N/A N/A N/A
IT 70 700 N/A grids1x1 estimate N/A N/A N/A N/A
IT 500 5000 N/A i estimate N/A N/A N/A N/A
ES N/A N/A 31 grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
ES 1 N/A N/A i minimum N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
ES N/A N/A N/A i estimate N/A N/A N/A N/A
MT N/A N/A N/A i estimate N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
GR N/A N/A N/A N/A N/A N/A N/A
HR N/A N/A N/A N/A N/A N/A N/A
IE N/A N/A N/A N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
ES N/A N/A N/A i estimate N/A N/A N/A N/A
IT N/A N/A N/A N/A N/A N/A N/A
EE 130 300 N/A i interval 32 72 N/A localities interval
LV N/A N/A N/A i estimate N/A N/A N/A N/A
FI 100000 500000 N/A i estimate N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
LV 278 509 N/A i estimate N/A N/A N/A N/A
FI N/A N/A 10000 i estimate N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
EE 1000 1200 N/A i minimum N/A N/A N/A N/A
SE 4809 10000 7405 i mean N/A N/A N/A N/A
FI 344 430 392 i estimate N/A N/A N/A N/A
FI 2200 2300 N/A i estimate N/A N/A N/A N/A
BG 1550 2000 N/A i minimum N/A N/A N/A N/A
HR N/A N/A 350 i minimum N/A N/A N/A N/A
GR 2100 5000 N/A i estimate N/A N/A N/A N/A
RO 300 700 N/A i minimum N/A N/A N/A N/A
RO 500 1000 N/A i minimum N/A N/A N/A N/A
CY 250 500 N/A i estimate N/A N/A N/A N/A
BG 300 2500 N/A i minimum N/A N/A N/A N/A
BG 100 200 N/A i minimum N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A 3 grids1x1 minimum
SK 7 303 N/A i estimate N/A N/A N/A N/A
FR 7100 7200 N/A i mean N/A N/A N/A mean
PT 3000 N/A N/A i minimum N/A N/A N/A N/A
BG 1500 2500 N/A i minimum N/A N/A N/A N/A
SI N/A N/A 440 i minimum 26 29 N/A grids1x1 N/A
SK 117 1103 N/A i estimate N/A N/A N/A N/A
FR 2500 3000 N/A i mean N/A N/A N/A mean
FR 1500 2000 N/A i mean N/A N/A N/A mean
HU 4000 6000 N/A i estimate N/A N/A N/A N/A
FR 20900 22000 N/A i mean N/A N/A N/A mean
IT 100 1800 N/A i estimate N/A N/A N/A N/A
BG 100 200 N/A i minimum N/A N/A N/A N/A
ES 1139 N/A N/A i minimum 10 N/A N/A localities minimum
ES 617 N/A N/A i minimum 52 N/A N/A localities minimum
ES 18384 N/A N/A i minimum 89 N/A N/A localities minimum
GR 2275 5000 N/A i estimate N/A N/A N/A N/A
IT 320 9500 N/A i estimate N/A N/A N/A N/A
RO 500 1200 N/A i minimum N/A N/A N/A N/A
RO 500 1000 N/A i minimum N/A N/A N/A N/A
IT 5000 40000 N/A i estimate N/A N/A N/A N/A
HR N/A N/A 3125 i minimum N/A N/A N/A N/A
HR N/A N/A 1090 i minimum N/A N/A N/A N/A
HR N/A N/A 688 i minimum N/A N/A N/A N/A
SI N/A N/A 75 i minimum 75 86 N/A grids1x1 estimate
CY 120 200 N/A i estimate N/A N/A N/A N/A
BG 20000 22000 N/A i minimum N/A N/A N/A N/A
RO 1000 3000 N/A i minimum N/A N/A N/A N/A
RO 10000 15000 N/A i minimum N/A N/A N/A N/A
RO 10000 20000 N/A i minimum N/A N/A N/A N/A
IT 15000 30000 N/A i estimate N/A N/A N/A N/A
FR 47000 50000 N/A i mean N/A N/A N/A mean
IT 22000 45000 N/A i estimate N/A N/A N/A N/A
FR 500 1000 N/A i mean N/A N/A N/A mean
AT N/A N/A 145 i estimate N/A N/A 51 grids1x1 estimate
AT 18 N/A N/A i minimum 15 N/A N/A grids1x1 minimum
GR 5000 10000 N/A i estimate N/A N/A N/A N/A
BE 1 5 3 i estimate 1 5 3 iwintering estimate
BE 750 2000 750 i estimate 650 1500 650 iwintering estimate
CY 100 150 N/A i estimate N/A N/A N/A N/A
LU 400 450 N/A i interval 163 196 N/A bfemales interval
BG 13000 18000 N/A i minimum N/A N/A N/A N/A
HR N/A N/A 4200 i minimum N/A N/A N/A N/A
UK 9245 18530 12951 i estimate N/A N/A N/A N/A
PT N/A N/A N/A 9 N/A N/A grids1x1 minimum
HR N/A N/A 5150 i minimum N/A N/A N/A N/A
HR N/A N/A 260 i minimum N/A N/A N/A N/A
HU 4000 10000 N/A i estimate N/A N/A N/A N/A
SI N/A N/A 577 i minimum 190 201 N/A grids1x1 estimate
SI N/A N/A 333 i minimum 75 86 N/A grids1x1 estimate
PT 4000 N/A N/A i minimum N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
FR 22625 90502 N/A i estimate N/A N/A N/A estimate
IT 6000 15000 N/A i estimate N/A N/A N/A N/A
BG 2600 3600 N/A i minimum N/A N/A N/A N/A
CZ N/A N/A N/A i estimate N/A N/A N/A N/A
CZ 1 5 N/A i estimate N/A N/A N/A N/A
FR 15000 16000 N/A i mean N/A N/A N/A mean
BG 1100 3500 N/A i minimum N/A N/A N/A N/A
SK 161 261 N/A i estimate N/A N/A N/A N/A
SK 331 3131 N/A i estimate N/A N/A N/A N/A
ES 713 N/A N/A i minimum 11 N/A N/A localities minimum
ES 450 N/A N/A i minimum 152 N/A N/A localities minimum
ES 34548 N/A N/A i minimum 329 464 N/A localities minimum
DE 176 398 272 i mean 88 199 136 bfemales mean
PL N/A N/A 1 i minimum N/A N/A N/A N/A
RO 300 500 N/A i minimum N/A N/A N/A N/A
IE N/A N/A 12791 i estimate N/A N/A N/A N/A
SK 137 1003 N/A i estimate N/A N/A N/A N/A
SK 1761 19480 N/A i estimate N/A N/A N/A N/A
PL N/A N/A 6500 i estimate N/A N/A N/A N/A
PL N/A N/A 5500 i estimate N/A N/A N/A N/A
IT 5000 30000 N/A i estimate N/A N/A N/A N/A
HU 3000 10000 N/A i estimate N/A N/A N/A N/A
IT 5000 40000 N/A i estimate N/A N/A N/A N/A
ES 575 N/A N/A i minimum 21 N/A N/A localities minimum
ES 5000 N/A N/A i minimum 59 N/A N/A localities minimum
ES 10186 15716 N/A i minimum 270 N/A N/A localities minimum
DE 12380 13586 12867 i minimum 6190 6793 6433.50 bfemales minimum
DE 278 468 348 i mean 139 234 174 bfemales mean
RO 100 200 N/A i minimum N/A N/A N/A N/A
RO 500 800 N/A i minimum N/A N/A N/A N/A
IT 8000 50000 N/A i estimate N/A N/A N/A N/A
RO 5000 10000 N/A i minimum N/A N/A N/A N/A
RO 5000 10000 N/A i minimum N/A N/A N/A N/A
BE 500 750 500 i estimate 200 475 200 iwintering estimate
AT N/A N/A 16500 i estimate N/A N/A 600 grids1x1 estimate
UK 36000 73000 50400 i estimate N/A N/A N/A N/A
HR N/A N/A 515 i minimum N/A N/A N/A N/A
HR N/A N/A 1585 i minimum N/A N/A N/A N/A
HR N/A N/A 230 i minimum N/A N/A N/A N/A
BG 2000 2500 N/A i minimum N/A N/A N/A N/A
BG 200 500 N/A i minimum N/A N/A N/A N/A
BG 3000 6500 N/A i minimum N/A N/A N/A N/A
CZ 1000 2000 N/A i estimate N/A N/A N/A N/A
CZ 30000 40000 N/A i estimate N/A N/A N/A N/A
SI N/A N/A 325 i minimum 325 369 N/A grids1x1 estimate
SI N/A N/A 542 i minimum 542 586 N/A grids1x1 N/A
PT 5000 N/A N/A i minimum N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A grids1x1 N/A
LU N/A N/A N/A i estimate N/A N/A N/A N/A
CY 600 800 N/A i estimate N/A N/A N/A N/A
FR 3000 4000 N/A i mean N/A N/A N/A mean
FR 28300 30000 N/A i mean N/A N/A N/A mean
GR 3600 5000 N/A i estimate N/A N/A N/A N/A
AT N/A N/A 1700 i estimate N/A N/A 132 grids1x1 estimate
FR 39000 40000 N/A i mean N/A N/A N/A mean
FR 91917 183833 N/A i estimate N/A N/A N/A estimate
MT 200 400 N/A i estimate N/A N/A N/A estimate
NL N/A N/A N/A N/A N/A N/A N/A
GR 500 1000 N/A i estimate N/A N/A N/A N/A
RO 25 80 N/A i minimum N/A N/A N/A N/A
FR N/A N/A N/A i mean N/A N/A N/A mean
IT 5000 16000 N/A i estimate N/A N/A N/A N/A
ES 10147 N/A N/A i estimate 82 N/A N/A localities minimum
PT 3000 N/A N/A i minimum N/A N/A N/A N/A
BG 7000 10000 N/A i minimum N/A N/A N/A N/A
BG 50 150 N/A i minimum N/A N/A N/A N/A
BG 100 500 N/A i minimum N/A N/A N/A N/A
RO 15 60 N/A i minimum N/A N/A N/A N/A
GR N/A N/A 3 i estimate N/A N/A N/A N/A
CY 1000 1500 N/A i estimate N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
FR N/A N/A N/A estimate N/A N/A N/A estimate
FR 31200 31200 N/A i minimum N/A N/A N/A minimum
ES 22799 N/A N/A i estimate N/A N/A 129 grids10x10 estimate
ES 13096 N/A N/A i estimate N/A N/A 82 grids10x10 estimate
ES 40199 N/A N/A i minimum N/A N/A 76 grids10x10 estimate
IT N/A N/A 2500 i estimate N/A N/A N/A N/A
IT N/A N/A N/A N/A N/A N/A N/A
IT N/A N/A N/A N/A N/A N/A N/A
RO 6040 6700 N/A i estimate N/A N/A N/A N/A
AT 300 1000 N/A i estimate N/A N/A N/A N/A
IT N/A N/A N/A N/A N/A N/A N/A
SI 2000 3000 N/A i estimate 106 112 N/A grids1x1 N/A
IT N/A N/A N/A N/A N/A N/A N/A
RO 10 20 N/A i estimate N/A N/A N/A N/A
HR N/A N/A 503 i mean N/A N/A N/A N/A
FR 86000 86000 N/A i estimate N/A N/A N/A estimate
AT 90000 130000 N/A i estimate N/A N/A N/A N/A
HR N/A N/A 50 i mean N/A N/A N/A N/A
HR N/A N/A 603 i mean N/A N/A N/A N/A
SI 5000 9000 N/A i estimate 155 170 N/A grids1x1 N/A
DE N/A N/A N/A i estimate 56 56 56 grids10x10 estimate
DE N/A N/A N/A minimum N/A N/A N/A grids10x10 minimum
IT N/A N/A 139050 i estimate N/A N/A N/A N/A
FR 11000 11000 N/A i estimate N/A N/A N/A estimate
FR 6300 6300 N/A i estimate N/A N/A N/A estimate
BG 1150 1750 N/A i estimate N/A N/A N/A N/A
BG 30 50 N/A i minimum N/A N/A N/A N/A
GR 800 1300 N/A i estimate N/A N/A N/A N/A
HR N/A N/A 60 i estimate N/A N/A N/A N/A
HR N/A N/A 60 i estimate N/A N/A N/A N/A
PL N/A N/A 421 i estimate N/A N/A N/A N/A
SK 800 1055 N/A i estimate N/A N/A N/A N/A
GR 500 3000 N/A i estimate N/A N/A N/A N/A
DE N/A N/A N/A N/A N/A N/A localities N/A
RO 100 120 N/A i minimum N/A N/A N/A N/A
RO 400 475 N/A i minimum N/A N/A N/A minimum
DK N/A N/A N/A N/A N/A 8 grids10x10 N/A
DK N/A N/A N/A N/A N/A N/A grids10x10 N/A
EE N/A N/A 60 i minimum N/A N/A 32 grids1x1 minimum
CZ 1000 2000 N/A i estimate N/A N/A N/A N/A
SE 4000 32000 18000 i estimate N/A N/A N/A N/A
SE 142500 741000 230000 i estimate N/A N/A N/A N/A
FI 10000 1000000 N/A i estimate N/A N/A 87 grids1x1 minimum
PL N/A N/A 2061 i estimate N/A N/A 2061 grids1x1 estimate
PL N/A N/A 482 i minimum N/A N/A 482 grids1x1 estimate
LV 1000 3000 N/A i minimum N/A N/A 101 grids1x1 minimum
LT 100 200 N/A i minimum N/A N/A 192 grids1x1 minimum
SK 100 500 N/A i estimate N/A N/A N/A N/A
AT 7 700 N/A i minimum N/A N/A 7 grids1x1 minimum
AT 60 6000 N/A i minimum N/A N/A 62 grids1x1 minimum
DE N/A N/A N/A i estimate 9 11 10 localities estimate
BG N/A N/A N/A i minimum N/A N/A N/A minimum
HU N/A N/A 1000 i estimate N/A N/A N/A N/A
PL 300 1000 N/A i estimate N/A N/A N/A N/A
RO 135 160 N/A i minimum N/A N/A N/A N/A
RO N/A N/A N/A i minimum N/A N/A N/A N/A
BG N/A N/A N/A i minimum N/A N/A N/A minimum
RO 18400 22000 N/A i minimum N/A N/A N/A minimum
RO 12300 14800 N/A i minimum N/A N/A N/A N/A
BG 4300 43000 N/A i minimum N/A N/A N/A N/A
SK 1000 5000 N/A i estimate N/A N/A N/A N/A
RO 4200 5200 N/A i minimum N/A N/A N/A N/A
HU 70000 140000 N/A i estimate N/A N/A N/A N/A
PL N/A N/A 1477 i estimate N/A N/A N/A N/A
GR N/A N/A N/A 331 388 N/A grids5x5 estimate
HR N/A N/A N/A N/A N/A N/A N/A
CZ 2500 5000 N/A i estimate N/A N/A N/A N/A
BG 1600 16000 N/A i minimum N/A N/A N/A N/A
CZ 800 1600 N/A i estimate N/A N/A N/A N/A
BG 400 4000 N/A i minimum N/A N/A N/A N/A
AT 140000 160000 157000 i estimate N/A N/A N/A N/A
AT N/A N/A 50 i estimate N/A N/A N/A N/A
SK 1000 5000 N/A i estimate N/A N/A N/A N/A
PL 3341 8387 N/A i estimate N/A N/A N/A N/A
UK 90 200 200 i estimate N/A N/A N/A estimate
GR 20000 80000 N/A i estimate N/A N/A N/A N/A
PT N/A N/A 423 i minimum N/A N/A N/A N/A
IT N/A N/A 132000 i minimum N/A N/A N/A N/A
FR 18000 82000 N/A i interval N/A N/A N/A interval
UK 9155 76471 26459 i interval N/A N/A N/A N/A
MT 517 641 N/A i estimate N/A N/A N/A N/A
PT N/A N/A 19473 i mean N/A N/A N/A N/A
ES 87831 384843 180595 i interval N/A N/A N/A N/A
ES 311 N/A N/A i minimum N/A N/A N/A N/A
HR N/A N/A 10000 i interval N/A N/A N/A N/A
ES 73523 556015 207684 i interval N/A N/A 2808 grids10x10 estimate
IE 6562 21424 N/A i interval N/A N/A N/A N/A
FR N/A N/A N/A interval N/A N/A N/A interval
ES 22462 42090 34851 i estimate N/A N/A 802 grids10x10 estimate
PT N/A N/A 3052 i minimum N/A N/A N/A N/A
IT N/A N/A N/A N/A N/A N/A N/A
MT N/A N/A N/A i estimate N/A N/A N/A N/A
GR N/A N/A N/A N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
PT N/A N/A N/A N/A N/A N/A N/A
ES 503 4934 1575 i interval N/A N/A 399 grids10x10 estimate
FR 847 19500 N/A grids1x1 mean 2710 16258 N/A i mean
BG N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 10 grids1x1 minimum N/A N/A N/A N/A
ES 89 8900 N/A grids1x1 estimate N/A N/A N/A N/A
FR 2000 3000 N/A grids1x1 mean N/A N/A N/A mean
FR 50 100 N/A grids1x1 mean N/A N/A N/A mean
ES 615 61500 N/A grids1x1 estimate N/A N/A N/A N/A
CY N/A N/A 13 grids1x1 estimate 20 1000 N/A i estimate
GR N/A N/A 125334 grids1x1 estimate 2876 4288 N/A grids5x5 N/A
MT N/A N/A 14 grids1x1 minimum N/A N/A N/A N/A
FR 50 100 N/A grids1x1 mean N/A N/A N/A mean
IT 350 7000 N/A grids1x1 estimate N/A N/A N/A N/A
ES 63 6300 N/A grids1x1 estimate N/A N/A N/A N/A
ES 42 4200 N/A grids1x1 estimate N/A N/A N/A N/A
IT 960 19200 N/A grids1x1 estimate N/A N/A N/A N/A
IT 2350 47000 N/A grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A 496 grids1x1 minimum N/A N/A N/A N/A
PT N/A N/A 10 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 16 grids1x1 minimum N/A N/A N/A N/A
SI 111 224 N/A i interval N/A N/A N/A N/A
IT N/A N/A 8591 i minimum N/A N/A N/A N/A
UK 6302 17865 10610 i interval N/A N/A N/A N/A
UK 30 90 30 i estimate N/A N/A N/A estimate
MT 79 224 N/A i interval N/A N/A N/A N/A
HR N/A N/A 6000 i interval N/A N/A N/A N/A
GR 3800 9000 N/A i estimate N/A N/A N/A N/A
RO 3402 12091 N/A i interval N/A N/A N/A N/A
FR 6700 47000 N/A i interval N/A N/A N/A interval
FR 610 18498 N/A i interval N/A N/A N/A interval
CY 30 100 N/A i estimate N/A N/A N/A N/A
BG 545 1333 N/A i estimate N/A N/A N/A N/A
PT N/A N/A 6134 i estimate N/A N/A N/A N/A
PT N/A N/A 1434 i minimum N/A N/A N/A N/A
IE 68714 147267 N/A i interval N/A N/A N/A N/A
NL N/A N/A N/A N/A N/A N/A N/A
BE N/A 30 N/A i N/A N/A N/A N/A
ES 5860 49019 16736 i interval N/A N/A N/A N/A
ES 1878 3449 2808 i estimate N/A N/A 504 grids10x10 estimate
ES 283 7105 1372 i interval N/A N/A N/A N/A
GR 400 500 N/A i estimate N/A N/A N/A N/A
FI 30 60 N/A i estimate N/A N/A N/A N/A
RO 1800 2050 N/A i estimate N/A N/A N/A N/A
SE 2152 2314 2234 i interval N/A N/A N/A N/A
SE 619 666 643 i interval N/A N/A N/A N/A
SI 136 164 N/A i interval N/A N/A N/A N/A
EE 650 700 N/A i mean 58 74 N/A bfemales mean
ES 55 N/A N/A i estimate 10 N/A N/A bfemales estimate
FI 1900 2200 2050 i estimate N/A N/A N/A N/A
PL 99 166 122 i interval N/A N/A N/A N/A
ES 243 292 N/A i estimate 35 41 40 bfemales estimate
ES 31 33 N/A i estimate 10 N/A N/A bfemales estimate
HR N/A N/A 750 i estimate N/A N/A N/A N/A
AT 2 8 N/A i minimum N/A N/A N/A minimum
IT 45 69 N/A i interval N/A N/A N/A N/A
RO 4650 5150 N/A i mean N/A N/A N/A N/A
LV 23 30 N/A i minimum N/A N/A N/A N/A
HR N/A N/A 83 i estimate N/A N/A N/A N/A
CZ N/A 3 N/A i N/A N/A N/A N/A
FR N/A N/A 43 i estimate N/A N/A N/A estimate
BG 343 510 N/A i estimate N/A N/A N/A N/A
BG 27 40 N/A i estimate N/A N/A N/A N/A
SK 900 1300 N/A i estimate N/A N/A N/A N/A
SI 409 491 N/A i interval N/A N/A N/A N/A
HR N/A N/A 167 i estimate N/A N/A N/A N/A
IT 45 63 N/A i estimate N/A N/A N/A N/A
FR 100 500 N/A grids1x1 mean N/A N/A N/A mean
FR 10 20 N/A grids1x1 mean N/A N/A N/A mean
FR 200 400 N/A grids1x1 mean N/A N/A N/A mean
FR 20 50 N/A grids1x1 mean N/A N/A N/A mean
NL N/A N/A 121 grids1x1 estimate 100 300 N/A i estimate
PL N/A N/A 1000 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 5550 grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A 1 grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A 66 grids1x1 estimate N/A N/A N/A N/A
LV 37000 64589 N/A grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 2 grids1x1 estimate N/A N/A N/A N/A
GR N/A N/A 35691 grids1x1 estimate 100 500 N/A grids5x5 estimate
SK 626 626 N/A grids1x1 estimate 476 518 N/A i N/A
SK 192 192 N/A grids1x1 estimate 277 277 N/A i N/A
HU N/A N/A 14 grids1x1 minimum N/A N/A N/A N/A
FI N/A N/A N/A N/A N/A N/A N/A
DE 485 485 485 grids1x1 estimate 13 13 13 grids5x5 estimate
LT N/A N/A 224 grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
CZ 1614 1614 N/A grids1x1 estimate N/A N/A N/A N/A
SE N/A N/A 299 grids1x1 estimate 3000 9000 6000 i estimate
SE N/A N/A 1060 grids1x1 estimate 35000 105000 70000 i estimate
BE N/A N/A 20 grids1x1 N/A N/A N/A N/A
HR N/A N/A 8 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
CZ 96 96 N/A grids1x1 estimate N/A N/A N/A N/A
IT 85 850 N/A grids1x1 estimate N/A N/A N/A N/A
IT 200 2000 N/A grids1x1 estimate N/A N/A N/A N/A
DE 5310 5310 5310 grids1x1 estimate 64 73 68.50 grids5x5 estimate
DE 35489 35489 35489 grids1x1 estimate 795 800 797.50 grids5x5 estimate
AT 123 N/A N/A grids1x1 minimum N/A N/A N/A N/A
AT 195 N/A N/A grids1x1 minimum N/A N/A N/A N/A
EE N/A N/A 271 grids1x1 estimate N/A N/A N/A N/A
RO 100 300 N/A grids1x1 minimum N/A N/A N/A N/A
RO 200 500 N/A grids1x1 minimum N/A N/A N/A N/A
RO 100 300 N/A grids1x1 minimum N/A N/A N/A N/A
DK N/A N/A N/A N/A N/A 42 localities N/A
DK N/A N/A N/A N/A N/A 9 localities N/A
BG N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 55 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 398 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 9 grids1x1 minimum N/A N/A N/A N/A
RO 840 880 N/A grids1x1 minimum N/A N/A N/A i N/A
GR N/A N/A N/A N/A N/A N/A N/A
BG N/A N/A N/A grids1x1 minimum N/A N/A N/A N/A
ES 394 7090 1659 i interval N/A N/A N/A N/A
IE 142 1221 N/A i interval N/A N/A N/A N/A
MT N/A N/A 1 i estimate N/A N/A N/A N/A
FR 2700 21000 N/A i interval N/A N/A N/A interval
PT N/A N/A 53 i minimum N/A N/A N/A N/A
UK N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A 6964 i estimate N/A N/A N/A N/A
HR N/A N/A N/A N/A N/A N/A N/A
IT N/A N/A N/A N/A N/A N/A N/A
GR N/A N/A N/A N/A N/A N/A N/A
FR N/A N/A N/A interval N/A N/A N/A interval
ES 1715 18281 5564 i interval N/A N/A N/A N/A
ES 15 212 56 i interval N/A N/A N/A N/A
Max
Best value Unit Type est. Method Status
(% MS)
Trend FRP Unit Occupied
suff.
Unoccupied
suff.
Status Trend Range
prosp.
Population
prosp.
Hab. for sp.
prosp.
Status Curr. CS Curr. CS
trend
Prev. CS Prev. CS
trend
Status
Nat. of ch.
CS trend
Nat. of ch.
Distrib. Method % MS
Alopex lagopus SE ALP 10600 100 + 10600 110 700 650 i estimate a 100 + 1200 i N N U1 = bad unk bad U2 U2 + U2 = noChange noChange 8800 a 100
Alopex lagopus FI ALP N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A U2 N/A U2 = N/A N/A N/A N/A 0
Balaenoptera acutorostrata UK MATL 1085484 56.40 = 1085484 6912 22032 12340 i interval a 28.73 x x Unk XX x good unk unk XX XX x FV method noChange 383000 b 41.82
Balaenoptera acutorostrata ES MMED 12641.29 0 x x 1 N/A N/A i minimum a 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 17600 b 0
Balaenoptera acutorostrata IE MATL 460000 23.90 = 460000 3639 12264 N/A i interval a 18.51 u Y FV = good good good FV FV = FV noChange noChange 188900 b 20.63
Balaenoptera acutorostrata IT MMED N/A 0 x x N/A N/A N/A d 0 x x N/A N N/A N/A N/A N/A N/A N/A XX N/A N/A N/A N/A 0
Balaenoptera acutorostrata PT MMAC 984900 100 = x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX XX N/A N/A 11400 d 100
Balaenoptera acutorostrata NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Balaenoptera acutorostrata ES MMAC 65334.43 0 x x N/A N/A 30 i estimate a 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 74600 b 0
Balaenoptera acutorostrata PT MATL 57196 2.97 + x N/A N/A 1406 i mean a 3.27 u x Y XX u good unk unk XX U1 x XX noChange noChange 67500 d 7.37
Balaenoptera acutorostrata DE MATL 4086 0 x x 6 10 N/A i minimum d 0 x x grids5x5 Unk XX x unk unk unk XX XX x XX noChange noChange 1100 b 0
Balaenoptera acutorostrata DK MATL 37000 1.92 u 8000 27500 15000 i interval a 34.93 x Unk Unk XX x good good unk FV FV = FV N/A N/A N/A c 0
Balaenoptera acutorostrata UK MMED 87 0 x 87 N/A 1 N/A i minimum b 0 u 1 i Y XX x unk good good FV XX XX noChange noChange 200 b 0
Balaenoptera acutorostrata FR MMED 200 0 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange 200 c 0
Balaenoptera acutorostrata FR MATL 284900 14.80 = 1500 11000 N/A i interval b 14.55 = x Unk Unk XX x unk unk unk XX XX = XX noChange noChange 276400 c 30.18
Balaenoptera acutorostrata GR MMED N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Balaenoptera acutorostrata ES MATL 145282.47 0 u x N/A 792 164 i interval a 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 122600 b 0
Balaenoptera borealis PT MMAC 1450200 100 = x 22 82 42 i interval d 100 x x Unk XX x unk unk unk XX XX U1 x N/A N/A 29300 d 100
Balaenoptera borealis UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange 12300 d 0
Balaenoptera borealis FR MATL 100 0 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange 100 c 0
Balaenoptera borealis ES MMAC N/A 0 x x N/A N/A N/A i estimate a 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A b 0
Balaenoptera borealis NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Balaenoptera borealis ES MATL N/A 0 x x N/A N/A N/A i estimate a 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A b 0
Balaenoptera borealis IE MATL 395000 100 = 395000 6 1164 N/A i estimate c 100 x x Y FV = good unk good XX XX XX noChange noChange 10000 b 100
Balaenoptera borealis PT MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A d 0
Balaenoptera edeni PT MMAC 1450200 96 + N/ 21 43 30 i interval b 65.22 N x Y FV x good unk good FV FV x XX N/A N/A 800 b 1.16
Balaenoptera edeni ES MMAC 60436.51 4 x x 16 N/A N/A i minimum a 34.78 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 68300 b 98.84
Balaenoptera musculus IE MATL 395000 100 = 395000 16 1500 N/A i estimate c 100 x x Y FV = good unk good XX XX XX noChange noChange 7500 b 100
Balaenoptera musculus UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange 2500 d 0
Balaenoptera musculus ES MATL N/A 0 x x N/A N/A N/A i estimate a 0 x x Unk XX x unk unk unk XX XX U1 x noInfo noInfo N/A c 0
Balaenoptera musculus FR MATL 100 0 x x N/A N/A N/A estimate c 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange 300 c 0
Balaenoptera musculus PT MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A d 0
Balaenoptera musculus PT MMAC 984900 100 = x N/A N/A N/A N/A 0 N N/ Unk XX x unk unk unk XX XX U1 x N/A N/A 10900 d 100
Balaenoptera musculus ES MMAC N/A 0 x x N/A N/A N/A i estimate a 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A c 0
Balaenoptera physalus ES MATL 30816.19 1.79 x 4276 10572 9422 i interval a 60.94 x Unk XX x unk unk unk XX XX XX noInfo noInfo 240400 b 31.96
Balaenoptera physalus UK MMED 87 0.04 x 87 30 60 40 i estimate b 1.60 u 40 i Unk Unk FV u good good good FV FV x XX knowledge noChange 200 d 0.09
Balaenoptera physalus MT MMED 7 0 x x N/A N/A 8 i minimum a 0 x x Unk Unk XX x unk unk unk XX XX XX noChange noChange 500 a 0
Balaenoptera physalus NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Balaenoptera physalus IT MMED 35500 14.90 x N/A N/A 665 i minimum a 26.57 x Y FV = unk unk good XX FV x XX knowledge noChange 11400 b 5.19
Balaenoptera physalus UK MATL 823178 47.70 = 823178 1927 5753 3330 i interval a 21.54 x x Unk XX x good unk unk XX XX x FV method noChange 80900 d 10.76
Balaenoptera physalus IE MATL 610000 35.35 = 610000 374 1628 N/A i interval a 6.47 u x Y FV = good unk good FV FV = FV noChange noChange 162600 b 21.62
Balaenoptera physalus FR MMED 96200 40.36 = 135 2400 N/A i interval b 50.65 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 94100 c 42.83
Balaenoptera physalus HR MMED N/A 0 x x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX N/A N/A N/A N/A 0
Balaenoptera physalus DK MATL N/A 0 x x N/A N/A N/A minimum d 0 x x Unk Unk XX x unk unk unk XX XX N/A N/A N/A N/A N/A c 0
Balaenoptera physalus ES MMAC 34910.30 2.35 x x N/A N/A N/A i estimate a 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 40800 b 57.06
Balaenoptera physalus ES MMED 89103.20 37.39 x x 162 1999 530 i interval a 21.18 x 500 i Unk XX x unk unk unk XX XX XX noInfo noInfo 99300 b 45.20
Balaenoptera physalus FR MATL 198900 11.53 = 60 2100 N/A i interval b 6.99 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 195400 c 25.98
Balaenoptera physalus PT MATL 62828 3.64 + N/A N/A 627 i mean a 4.06 = x Y XX x unk unk unk XX XX XX noChange noChange 72800 d 9.68
Balaenoptera physalus PT MMAC 1450200 97.65 = x N/A N/A N/A d 0 N x Unk XX x unk unk unk XX XX XX N/A N/A 30700 d 42.94
Balaenoptera physalus GR MMED 17442 7.32 x x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX XX noChange noChange 14700 b 6.69
Barbastella barbastellus HR CON 31100 4.36 x > N/A N/A 46 i minimum c 0.06 x > N Y U1 x poor unk poor U1 U1 x N/A N/A 30100 b 10
Barbastella barbastellus HR MED 5500 0 x x N/A N/A 2 i minimum c 0 x x Unk XX x unk unk unk XX XX N/A N/A 4300 b 0
Barbastella barbastellus SE BOR 54100 45.35 = 54100 5000 15000 10000 i estimate c 96.74 = 10000 i N Unk FV x good poor unk FV FV = U2 - genuine genuine 14800 c 57.81
Barbastella barbastellus SE CON 15700 2.20 + 15700 3000 9000 6000 i estimate c 8.08 + 6000 i Y FV = good unk unk XX FV + U2 + genuine genuine 7300 c 2.43
Barbastella barbastellus BG CON 85500 11.99 = 85500 10000 18000 N/A i minimum b 18.86 = 12000 i Y FV = poor poor poor U1 U1 = U1 - noChange method 6200 b 2.06
Barbastella barbastellus BG BLS 8400 100 = 8400 1000 2500 N/A i minimum b 100 = 1500 i Y FV = poor poor poor U1 U1 = U1 - noChange method 1000 b 100
Barbastella barbastellus BG ALP 25200 14.60 u 25200 6000 12500 N/A i minimum b 8.59 u 10225 i Y XX u unk unk unk XX XX = U1 - noChange method 3800 b 5.14
Barbastella barbastellus PT MED 36000 13.39 = 36300 N/A N/A N/A minimum b 0 x x Unk XX x good unk unk XX XX U1 x knowledge noChange 13500 b 13.27
Barbastella barbastellus PT ATL 3000 0.93 = 4100 N/A N/A N/A minimum b 0 x x Unk XX x good unk unk XX XX XX noChange knowledge 600 b 0.52
Barbastella barbastellus HU PAN 40982 78.11 x N/A N/A N/A minimum b 0 x Y U1 u poor poor poor U1 U1 x U1 - noChange method 23500 b 79.93
Barbastella barbastellus SI CON 12616 1.77 = N/A N/A 49 i minimum b 0.07 u > Y XX x good poor unk U1 U1 x FV knowledge noChange 4000 b 1.33
Barbastella barbastellus GR MED 75598 28.12 x x N/A N/A N/A b 0 x x N Unk U1 x unk poor poor U1 U1 x U1 x noChange noChange 48800 b 47.98
Barbastella barbastellus SI ALP 7656 4.44 = N/A N/A 50 i minimum b 0.05 u > Y XX x good poor unk U1 U1 x FV knowledge noChange 3100 b 4.19
Barbastella barbastellus ES MED 60900 22.66 + 310 N/A N/A i minimum b 1.05 = 310 grids10x10 Y U1 = good poor poor U1 U1 = U1 - noChange knowledge 14500 a 14.26
Barbastella barbastellus ES MAC 2700 100 = 12 N/A N/A i estimate a 100 + 17 grids10x10 Y U1 + poor poor poor U1 U1 = U1 + noChange knowledge 1800 a 100
Barbastella barbastellus ES ATL 26100 8.05 = 47 N/A N/A i minimum b 0.37 = 44 grids10x10 Y U1 = good poor poor U1 U1 = U1 - noChange knowledge 3500 a 3.06
Barbastella barbastellus LV BOR 2900 0 = x 200 500 N/A i estimate c 0 x Y U1 - good unk poor U1 U1 - XX knowledge knowledge 2100 b 0
Barbastella barbastellus ES ALP 12900 7.48 + 208 N/A N/A i minimum b 0.19 = 54 grids10x10 Y U1 = good poor poor U1 U1 = U1 - noChange knowledge 4500 a 6.09
Barbastella barbastellus RO ALP 15300 8.87 = 1000 2500 N/A i minimum b 1.63 = Y FV = good good good FV FV = U1 = knowledge knowledge 3800 b 5.14
Barbastella barbastellus RO CON 23200 3.25 = 1000 2000 N/A i minimum b 2.02 = Y FV = good poor good FV FV = U1 = knowledge knowledge 6600 b 2.19
Barbastella barbastellus LU CON 500 0.07 + > 60 120 N/A i estimate b 0.12 + > N Unk U2 u good poor poor U1 U2 + U2 x noChange genuine 300 b 0.10
Barbastella barbastellus IT ALP 44100 25.56 = 4500 22000 N/A i estimate b 12.31 = > N Y FV = good good good FV U1 = U1 - noChange noChange 10200 b 13.80
Barbastella barbastellus CZ CON 81000 11.36 = 4000 6000 N/A i estimate a 6.74 = > Y FV = good poor good FV U1 = U1 = noChange noChange 43500 a 14.45
Barbastella barbastellus IT CON 57100 8.01 = 4200 21000 N/A i estimate c 16.97 = > N Y U1 - good good poor FV U1 - U2 - noChange noChange 8400 b 2.79
Barbastella barbastellus IT MED 71100 26.45 = > 3800 19000 N/A i estimate c 38.55 = > N Y U1 - good good good FV U1 - U2 - noChange noChange 8700 b 8.55
Barbastella barbastellus CZ PAN 5800 11.05 = 500 1000 N/A i estimate a 20 = > Y FV = good poor good FV U1 = U1 = noChange noChange 1500 a 5.10
Barbastella barbastellus FR ALP 17000 9.85 = 5000 10000 N/A i mean c 6.97 = Y Unk FV = good good good FV FV = FV noChange noChange 10800 b 14.61
Barbastella barbastellus FR ATL 211500 65.26 = 5000 10000 N/A i mean b 59.07 = Y Unk XX = good good unk FV FV = U1 = knowledge knowledge 64100 b 56.08
Barbastella barbastellus FR CON 69500 9.74 = 6000 10000 N/A i mean b 10.78 = Y Unk FV = good good poor U1 U1 = U1 = noChange noChange 48400 b 16.08
Barbastella barbastellus FR MED 25200 9.38 = 5496 30229 N/A i estimate b 60.40 x < Y FV = poor unk poor U1 U1 = U1 = noChange noChange 16200 b 15.93
Barbastella barbastellus BE ATL 500 0.15 + >> 100 200 N/A i estimate a 1.18 + >> N N U2 u bad bad poor U2 U2 = U2 - knowledge knowledge 500 a 0.44
Barbastella barbastellus BE CON 1000 0.14 + >> 100 500 N/A i estimate a 0.40 + >> Y FV = good good good FV U2 + U2 + noChange noChange 1000 a 0.33
Barbastella barbastellus NL ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Barbastella barbastellus SK ALP 15892.73 9.21 = 50000 100000 N/A i estimate c 69.67 + Y FV x good good good FV FV = XX knowledge N/A 13200 b 17.86
Barbastella barbastellus SK PAN 5686.65 10.84 + 1000 5000 N/A i estimate c 80 x Y FV x good good good FV FV x XX knowledge N/A 4400 b 14.97
Barbastella barbastellus AT CON 9100 1.28 = > 150 N/A N/A i minimum c 0.20 = > Y FV = good good poor U1 U1 = U1 x noChange knowledge 6700 b 2.23
Barbastella barbastellus AT ALP 14800 8.58 = 550 N/A N/A i minimum b 0.51 = > Y FV = good good poor U1 U1 = U1 + noChange knowledge 11600 b 15.70
Barbastella barbastellus LT BOR 65200 54.65 = N/A N/A 337 i estimate b 3.26 x > Y U1 = unk unk unk XX U1 = U1 = N/A N/A 10800 b 42.19
Barbastella barbastellus UK ATL 74189 22.89 = 74189 N/A N/A 5000 i estimate c 39.38 x x Unk Unk XX x good unk unk XX XX x XX noChange noChange 41700 a 36.48
Barbastella barbastellus PL CON 91600 12.84 = N/A N/A 6500 i minimum a 8.76 = N Unk U1 u good unk poor U1 U1 = U1 x noChange knowledge 28000 b 9.30
Barbastella barbastellus PL ALP 6000 3.48 = N/A N/A 25 i minimum b 0.02 x x Unk XX x unk unk unk XX XX XX noChange noChange 1900 b 2.57
Barbastella barbastellus DE ALP 4007 2.32 = 4007 25 100 N/A i estimate b 0.06 = localities Y FV = good good good FV FV = FV noChange noChange 3400 c 4.60
Barbastella barbastellus DE ATL 8807 2.72 + > N/A N/A N/A i estimate b 0 + x localities N Y U1 = unk unk unk XX U1 + U2 = genuine genuine 3900 c 3.41
Barbastella barbastellus HR ALP 9700 5.62 x > N/A N/A 12 i minimum c 0.01 x >> N Y XX x poor unk poor U1 U2 x N/A N/A 7600 b 10.28
Barbastella barbastellus DK CON 1581 0.22 = N/A N/A N/A d 0 u x Unk Y XX u good unk unk XX XX U1 x N/A N/A 1400 b 0.47
Barbastella barbastellus DE CON 233805 32.78 + 10000 50000 20000 i estimate b 26.94 + > localities N Unk U1 - good poor unk U1 U1 = U1 = noChange noChange 109100 c 36.25
Bison bonasus PL CON 9800 93.78 + x N/A N/A 1148 i estimate a 93.79 + x N Unk U1 + good poor poor U1 U1 + U1 = noChange noChange 6800 a 90.67
Bison bonasus RO CON 300 2.87 x x 50 60 N/A i estimate a 4.49 N x Y FV = good good good FV FV + N/A N/A noInfo noInfo 400 a 5.33
Bison bonasus SK ALP 609.67 17.88 + N/A 5 N/A i estimate a 0.53 + > Y FV = good good good FV U1 + U1 = N/A N/A 600 b 21.43
Bison bonasus DE CON 350 3.35 x x 21 21 21 i estimate d 1.72 x x i Unk XX x unk unk unk XX XX x N/A N/A genuine genuine 300 b 4
Bison bonasus PL ALP 2600 76.25 + N/A N/A 402 i estimate a 84.72 + 400 i Y FV = good poor good U1 U1 + U1 + noChange genuine 2100 a 75
Bison bonasus RO ALP 200 5.87 x x 60 80 N/A i estimate a 14.75 N x Y FV = good good good FV FV + N/A N/A noInfo noInfo 100 a 3.57
Canis aureus CZ PAN 3000 0 + x 20 30 N/A i estimate c 0 + x Y FV = unk unk good XX XX XX noChange noChange 900 a 0
Canis aureus IT ALP 1500 6.36 + 5 15 N/A i estimate b 0.35 = Y FV = good good good FV FV + FV noChange genuine 3300 b 5.54
Canis aureus RO STE 32600 100 + 1890 2300 N/A i estimate a 100 + 500 i Y FV + good good good FV FV + FV noChange noChange 800 a 100
Canis aureus SI ALP 6488 0 + 112 150 N/A i estimate b 0 + Y FV = good good good FV FV + XX genuine genuine 2800 a 0
Canis aureus RO ALP 6400 27.12 + 800 1000 N/A I estimate a 31.20 + x Y FV + good good good FV FV + N/A N/A genuine genuine 48800 a 81.88
Canis aureus AT CON 3000 0 x N/ N/A N/A N/A b 0 x N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 1900 b 0
Canis aureus AT ALP 800 0 x N/ N/A N/A N/A b 0 x N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 800 b 0
Canis aureus GR MED 35049 79.16 = N/A N/A N/A a 0 = x N Unk U1 = good good poor XX U1 = U1 = noChange noChange 26600 a 100
Canis aureus IT CON 1700 0.85 + 15 35 N/A i estimate b 0.06 + Y FV = good good good FV FV + FV noChange genuine 2600 b 1.74
Canis aureus BG ALP 15700 66.53 = 15700 1755 2195 N/A i minimum b 68.46 = 2195 i Y FV = good good good FV FV = FV noChange noInfo 7500 b 12.58
Canis aureus RO BLS 1900 15.08 + 210 250 N/A i estimate a 1.97 + 150 i Y FV + good good good FV FV + FV noChange noChange N/A a 0
Canis aureus RO PAN 14800 14.08 + 650 820 N/A I estimate a 3.75 + 250 i Y FV + good good good FV FV + N/A N/A genuine genuine 1200 a 1.28
Canis aureus BG BLS 10700 84.92 = 10700 10185 12730 N/A i minimum b 98.03 = 12730 i Y FV = good good good FV FV = FV noChange noChange 9300 b 100
Canis aureus RO CON 74300 37.04 + 6600 7200 N/A i estimate a 17.06 + 1000 i Y FV = good good good FV FV + FV noChange noChange 56100 a 37.65
Canis aureus BG CON 97500 48.60 = 97500 28060 35070 N/A i minimum b 78.05 x 23201 i Y FV = good good good FV FV = FV noChange noInfo 90300 b 60.60
Canis aureus HR MED 9228.90 20.84 + N/A N/A 829 i mean b 100 x 200 i Y FV + good good good FV FV = N/A N/A N/A d 0
Canis aureus HR CON 27105.10 13.51 + N/A N/A 1951 i mean b 4.82 x 600 i Y FV = good good good FV FV = N/A N/A N/A d 0
Canis aureus CZ CON 11100 0 + x 30 50 N/A i estimate c 0 + x Y FV = unk unk good XX XX XX noChange noChange 3500 a 0
Canis aureus SI CON 12100 0 + 638 850 N/A i estimate b 0 + Y FV = good good good FV FV + XX genuine genuine 8100 a 0
Canis aureus HU PAN 90285 85.92 + N/A N/A 18887 i estimate c 96.25 + Y FV + good good good FV FV + FV noChange method 92900 c 98.72
Canis lupus HR ALP 8615 4.36 = N/A N/A 75 i mean b 2 = > Y FV + good poor poor U1 U1 + N/A N/A N/A a 0
Canis lupus GR MED 73305 27.36 + 907 1134 1020 i estimate b 31.85 + > N N U1 + good poor poor U1 U1 + U1 + noChange noChange 73400 b 36.63
Canis lupus ES MED 70100 26.16 u > 803 1504 803 i estimate b 25.07 u 222 grids10x10 Y FV = unk unk good XX U1 = FV knowledge knowledge 21200 a 10.58
Canis lupus PT MED 23500 8.77 = > N/A N/A 98 i minimum c 3.06 = > Unk XX = poor poor unk U1 U1 = U1 = noChange noChange 20500 b 10.23
Canis lupus PT ATL 4200 6.68 = N/A N/A 20 i minimum b 4.25 = Unk XX = good good unk FV FV = FV noChange noChange 3000 b 7.28
Canis lupus ES ATL 50600 80.52 = 421 876 421 i estimate b 89.38 u 356 grids10x10 Y FV = unk unk good XX U1 = FV knowledge knowledge 32800 a 79.61
Canis lupus ES ALP N/A 0 x > N/A 10 N/A i minimum b 0 + x Y FV = poor unk good XX U1 x N/A N/A knowledge knowledge N/A a 0
Canis lupus FI ALP 4500 2.28 = N/A 3 N/A i estimate b 0.04 = > Y FV = poor poor good U1 U1 = U1 = noChange noChange 1100 a 0.80
Canis lupus FI BOR 337400 44.45 + 165 190 180 i estimate a 8.67 = > Y FV = good unk good FV U1 + U1 - noChange genuine 233900 a 46.13
Canis lupus AT ALP 8900 0 + N/ 6 8 N/A i minimum c 0 x N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 5500 b 0
Canis lupus AT CON 6400 0 + N/ 23 28 N/A i minimum b 0 + N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 3600 b 0
Canis lupus HU PAN 3631 66.88 + > 40 60 N/A i estimate b 89.29 + > Y FV = good poor good U1 U1 + U1 x noChange genuine 3700 a 75.51
Canis lupus PL CON 149900 34.90 + > 896 2288 1592 i estimate b 40.98 + > Y FV = good good good FV U1 + U1 + noChange noChange 77800 a 31.87
Canis lupus PL ALP 12800 6.48 = N/A N/A 294 i estimate b 7.83 = Y FV = good good good FV FV = FV noChange noChange 8000 a 5.79
Canis lupus EE BOR 53500 7.05 + 180 260 N/A i mean a 10.59 + Y FV = good good good FV FV + FV noChange noChange 52300 a 10.32
Canis lupus RO ALP 67300 34.06 = 1500 1800 N/A i estimate a 43.96 = 1600 i Y FV = good good good FV FV = FV noChange noChange 48800 a 35.34
Canis lupus RO CON 87200 20.30 = 1000 1200 N/A i estimate a 28.32 = 1100 i Y FV = good good good FV FV = FV noChange noChange 55700 a 22.82
Canis lupus BE ATL 1200 0 + N/ 2 4 2 i estimate b 0 N N/ XX N N/A N/A N/A XX XX N/A N/A N/A N/A 1000 b 0
Canis lupus BE CON 400 0 u N/ N/A N/A 2 i estimate N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 200 b 0
Canis lupus DE CON 22490 5.24 + >> 125 133 N/A i estimate a 3.32 + >> p N Y U1 = good good poor U1 U2 + U2 + noChange noChange 14700 a 6.02
Canis lupus DE ATL 8039 12.79 + >> 27 33 N/A i estimate a 6.37 + >> p N Y U1 = good good poor U1 U2 + U2 + noChange noChange 5400 a 13.11
Canis lupus NL ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Canis lupus SK PAN 1798.45 33.12 + > 2 10 N/A i estimate b 10.71 + > Y U1 + good unk unk XX U1 = U1 = N/A N/A 1200 b 24.49
Canis lupus SK ALP 26500.79 13.41 = 300 600 N/A i estimate b 11.99 = Y FV + good good good FV FV = FV N/A knowledge 19900 b 14.41
Canis lupus FR ALP 24692 12.50 + 387 477 430 i estimate a 11.46 + Y Unk FV + good good good FV FV + FV N/A N/A 23600 a 17.09
Canis lupus IT ALP 23100 11.69 + 329 375 N/A i minimum a 9.38 + Y FV = good good good FV FV + FV noChange genuine 19400 b 14.05
Canis lupus FR ATL 600 0 N N/ N/A N/A N/A estimate a 0 + N/ Unk Unk XX N N/A N/A N/A XX XX x N/A N/A noChange noChange 700 a 0
Canis lupus IT CON 31800 7.40 + 317 734 N/A i estimate b 13.53 + Y FV = good good good FV FV + FV noChange genuine 26800 b 10.98
Canis lupus IT MED 64800 24.18 + 717 1656 N/A i estimate b 37.05 + Y FV + good good good FV FV + FV noChange genuine 59400 b 29.64
Canis lupus FR CON 17512 4.08 + N/A N/A N/A estimate a 0 + < Y Unk FV + unk unk unk XX FV + FV noChange noChange 27800 a 11.39
Canis lupus FR MED 27366 10.21 + N/A N/A N/A estimate a 0 + < Y Unk FV + good good good FV FV + FV noChange noChange 25900 a 12.92
Canis lupus SE BOR 238800 31.46 + 238800 305 415 352 i mean a 16.95 + 300 i Y FV = good good good FV FV + FV noChange noChange 115700 a 22.82
Canis lupus HR MED 8887 3.32 = 83 105 95 i mean b 2.97 - > N Unk U1 - good poor poor U1 U1 - N/A N/A N/A a 0
Canis lupus HR CON 4688 1.09 + x N/A N/A 14 i mean b 0.36 + > N Unk XX + poor poor poor U1 U1 + N/A N/A N/A a 0
Canis lupus LU CON 200 0 + >> 1 2 N/A i estimate c 0 + >> N Y FV + unk poor good U1 U2 + N/A N/A genuine genuine 200 c 0
Canis lupus CZ CON 22800 5.31 + > 5 80 N/A i estimate a 1.09 + > Y FV = poor poor good FV U1 + U2 = genuine genuine 11800 a 4.83
Canis lupus SE ALP 15800 0 N N/ N/A 5 N/A i estimate N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 5700 a 0
Canis lupus SE CON 12700 0 N N/ N/A 10 2 i estimate N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 2900 a 0
Canis lupus SI CON 4291 1 + 23 25 N/A i interval a 0.62 + Y FV = good good good FV FV + U1 = genuine genuine 2900 a 1.19
Canis lupus SI ALP 4086 2.07 + 49 53 N/A i interval a 1.36 + Y FV = good good good FV FV + U1 = genuine genuine 3500 a 2.53
Canis lupus BG ALP 26000 13.16 = 26000 360 540 N/A i minimum b 11.99 = 375 i Y FV = unk unk unk XX FV = FV knowledge knowledge 13800 b 9.99
Canis lupus BG BLS 7200 100 = 7200 75 110 N/A i minimum b 100 = 68 i Y FV = poor poor poor U1 U1 = FV knowledge knowledge 3500 b 100
Canis lupus BG CON 88800 20.68 = 88800 365 550 N/A i minimum b 11.78 = 477 i Y FV = poor poor poor U1 U1 = FV knowledge knowledge 26600 b 10.90
Canis lupus LV BOR 64589 8.51 = 64589 1126 1187 N/A i estimate b 55.69 + 300 i Y FV = good unk good FV FV + FV noChange noChange 37500 a 7.40
Canis lupus LT BOR 64700 8.52 = 136 200 N/A i estimate b 8.09 = Y FV = good good good FV FV = U1 = genuine genuine 67600 b 13.33
Capra aegagrus GR MED 796 100 = 800 1500 N/A i estimate b 100 = Unk XX x good good unk FV FV x FV noChange noChange 2000 a 100
Capra ibex FR MED N/A 0 N N/ N/A N/A N/A N/A 0 N N/ Unk Unk N/A N N/A N/A N/A N/A N/A N/A N/A N/A noChange noChange 1200 a 0
Capra ibex DE ALP 704 1.06 = N/A N/A 761 i minimum b 2.23 + localities Y FV = good good good FV FV + FV noChange genuine 900 c 1.65
Capra ibex FR CON N/A 0 N N/ N/A N/A N/A N/A 0 N N/ Unk Unk N/A N N/A N/A N/A N/A N/A N/A N/A N/A noChange noChange 400 a 0
Capra ibex FR ALP 18900 28.59 + 9500 11000 N/A i estimate a 30.07 + < Y Unk FV = poor poor poor U1 U1 + FV noChange noChange 14900 a 27.39
Capra ibex AT ALP 22000 33.28 = 6000 6800 N/A i estimate b 18.77 + Y FV = good good good FV FV = FV noChange noChange 16100 b 29.60
Capra ibex IT ALP 23000 34.79 = N/A N/A 16471 i mean a 48.32 = Y FV = good poor good U1 U1 = U1 - noChange noChange 21300 a 39.15
Capra ibex SI ALP 1502 2.27 = 200 215 N/A i minimum b 0.61 - > Y FV = good poor good U1 U1 - U1 = noChange genuine 1200 c 2.21
Capra pyrenaica ES ALP 100 0.90 = 86 N/A N/A i estimate a 26.79 + 1 grids10x10 Y FV = good good good FV FV + N/A N/A genuine genuine N/A a 0
Capra pyrenaica ES MED 125100 99.68 + 48000 55000 N/A i estimate a 99.71 + 625 grids10x10 Y FV = good good good FV FV + FV genuine genuine 68400 a 99.85
Capra pyrenaica PT ATL 800 50 = > N/A N/A 220 i estimate b 18.30 + x Unk XX = unk good unk XX FV + U1 + genuine genuine 900 a 50
Capra pyrenaica FR ALP 11000 99.10 + >> 220 250 N/A i estimate a 73.21 + >> N Y FV = good good unk U1 U2 + N/A N/A noChange noChange 1100 a 100
Capra pyrenaica PT MED 400 0.32 = x N/A N/A 152 i estimate b 0.29 + x Unk XX = unk good unk XX FV + XX genuine genuine 100 a 0.15
Capra pyrenaica ES ATL 800 50 = 800 1340 982 i estimate a 81.70 + 982 i Y FV = good good poor FV FV = XX genuine genuine 900 a 50
Capra pyrenaica pyrenaica ES ALP 1 100 = > 1 1 1 i estimate a 100 = > Unk XX = unk unk unk XX XX N/A N/A noChange noChange N/A a 0
Castor fiber LV BOR 64589 12.57 = 64589 58397 79461 N/A i estimate b 26.88 - 50000 i Y FV x good good unk FV FV x FV noChange noChange 20000 d 4.56
Castor fiber SI CON 7173 0.93 + 1000 2000 N/A i estimate b 1.44 + Y FV + good good good FV FV + U1 + genuine noChange 6700 b 1.26
Castor fiber BE CON 13700 1.77 + > 2000 3000 2000 i minimum a 1.91 + Y FV = good good good FV FV + FV noChange noChange 10500 a 1.97
Castor fiber BE ATL 12600 12.84 + 360 610 N/A i estimate b 2.99 + > N Y U1 + good good good FV U1 + U2 + genuine noChange 8000 a 10.40
Castor fiber HR CON 31889 4.11 + x 1724 10344 N/A i estimate b 5.77 + x Y FV u good good good FV FV = N/A N/A 29000 c 5.44
Castor fiber AT ALP 17200 14.29 + > 1100 1300 N/A i estimate a 12.49 + > Y FV = good good good FV U1 + U1 + noChange noChange 13500 a 17.29
Castor fiber DK ATL 2923 2.98 + >> N/A N/A 46 colonies estimate b 0 + >> N Y FV = poor poor good U1 U1 + N/A N/A N/A N/A 1900 b 2.47
Castor fiber ES ATL 600 0 + 1 N/A N/A i minimum a 0 + 1 i Y FV = good good good FV FV + N/A N/A genuine genuine 100 a 0
Castor fiber RO STE 3100 100 + x 300 350 N/A i estimate a 100 + 200 i Y FV + good good good FV FV + N/A N/A genuine genuine 2100 a 100
Castor fiber CZ PAN 5900 10.83 + 500 2000 N/A i estimate b 21.56 + Y FV = good good good FV FV + FV noChange noChange 2600 a 5.52
Castor fiber RO ALP 13900 11.55 + 800 900 N/A i estimate a 8.84 + 240 i Y FV + good good good FV FV + FV genuine genuine 3500 a 4.48
Castor fiber CZ CON 66600 8.59 + 2500 8000 N/A i estimate b 5.02 + Y FV + good good good FV FV + FV noChange noChange 26300 a 4.94
Castor fiber RO PAN 1500 2.75 + 40 60 N/A i estimate a 0.86 + 18 i Y FV + good good good FV FV + FV genuine genuine 1200 a 2.55
Castor fiber SE ALP 42000 34.90 + 42000 3000 7000 5000 i estimate c 52.03 + 5000 i Y FV = good good good FV FV + FV noChange noChange 33200 b 42.51
Castor fiber SE BOR 303600 59.08 + 303600 100000 150000 125000 i estimate c 48.75 + 125000 i Y FV = good good good FV FV + FV noChange noChange 282300 b 64.32
Castor fiber SE CON 2800 0.36 + 1700 6 20 13 i estimate c 0.01 + 13 i N Y FV = good good good FV FV + FV noChange noChange 1700 b 0.32
Castor fiber ES MED 10800 28.42 + 617 807 N/A i estimate a 7.73 + 807 i Y FV = good good good FV FV + N/A N/A genuine genuine 3100 a 10.37
Castor fiber PL ALP 14600 12.13 = N/A N/A 1000 i estimate c 10.41 = Y FV = good good good FV FV = FV noChange noInfo 7500 b 9.60
Castor fiber PL CON 310700 40.08 = 35000 40000 N/A i estimate c 35.89 = Y FV = good good good FV FV = FV noChange noInfo 218000 b 40.91
Castor fiber LT BOR 64700 12.59 = 40406 49446 N/A i estimate a 17.52 = Y FV = good good good FV FV = FV noChange noChange 68400 b 15.58
Castor fiber EE BOR 54100 10.53 + 12000 15300 N/A i mean b 5.32 = 5000 i Y FV = good good good FV FV + FV noChange noChange 53100 a 12.10
Castor fiber HU PAN 36538 67.06 + N/A N/A 3672 i minimum b 63.33 + Y FV + good good good FV FV + FV noChange method 37500 b 79.62
Castor fiber RO CON 23400 3.02 + 1100 1200 N/A i estimate a 1.10 + 140 i Y FV + good good good FV FV + FV genuine genuine 13000 a 2.44
Castor fiber FR MED 27200 71.58 + 4000 13000 N/A i estimate b 92.27 + < Y FV = good good unk FV FV + FV method method 26800 b 89.63
Castor fiber FR ALP 8300 6.90 + 800 2000 N/A i estimate b 14.57 + < Y FV = good good unk FV FV + FV method method 6700 b 8.58
Castor fiber FR ATL 37100 37.82 + 5000 16000 N/A i estimate b 64.68 + < Y FV = good good unk FV FV + FV method method 38700 b 50.33
Castor fiber FI BOR 26900 5.23 + 3300 4500 3900 i estimate a 1.52 + Y FV + good good good FV FV + U1 = genuine genuine 15100 a 3.44
Castor fiber FR CON 59300 7.65 + 7500 22000 N/A i estimate b 14.12 + < Y FV = good good unk FV FV + FV method method 61800 b 11.60
Castor fiber NL ATL 18700 19.06 + 1500 3000 N/A i estimate b 13.86 + Y FV + good good good FV FV + U1 + genuine noChange 15800 a 20.55
Castor fiber AT CON 32500 4.19 + 6000 6500 N/A i estimate a 5.98 + Y FV = good good good FV FV + FV noChange genuine 25900 a 4.86
Castor fiber SK PAN 10550.41 19.36 + 405 1248 N/A i estimate a 14.25 + Y FV + good poor poor U1 U1 + FV knowledge knowledge 5800 b 12.31
Castor fiber SK ALP 22834.18 18.97 + 70 100 N/A i estimate a 0.88 + Y FV = good poor poor U1 U1 + FV knowledge knowledge 13000 b 16.65
Castor fiber LU CON 2600 0.34 + 3500 30 50 N/A i estimate a 0.04 + >> N Y FV + good poor good U1 U2 + U2 + noChange genuine 1100 a 0.21
Castor fiber DE ALP 1506 1.25 + 1506 50 100 N/A i estimate b 0.78 + 12 grids5x5 Y FV = good good good FV FV + FV noChange genuine 700 a 0.90
Castor fiber DE ATL 26773 27.29 + > 1000 5000 N/A i minimum a 18.48 + > grids5x5 Y FV + poor poor good U1 U1 + FV method noChange 12500 a 16.25
Castor fiber DE CON 224585 28.97 + 224585 10000 50000 30000 i estimate b 28.71 + 2910 grids5x5 Y FV + good good unk FV FV + FV noChange noChange 138900 a 26.06
Cervus elaphus corsicanus IT MED 3600 57.14 + 10000 12000 N/A i estimate b 90.16 + Y FV = good good good FV FV + FV noChange genuine 3500 b 71.43
Cervus elaphus corsicanus FR MED 2700 42.86 + 1100 1300 N/A i estimate a 9.84 + > Unk Y FV = good good unk FV FV + U1 + noChange noChange 1400 a 28.57
Cricetus cricetus RO PAN 13500 20.85 = x 6200 8000 N/A i minimum b 0.50 x 8000 i Y FV x poor poor poor FV FV = FV N/A N/A 11500 b 21.38
Cricetus cricetus PL CON 40600 20.53 - 50000 N/A N/A 49500 i minimum b 26.91 - x Y U1 - bad poor poor U2 U2 - U2 x noChange knowledge 18200 a 12.12
Cricetus cricetus AT ALP 600 0 = N/A N/A N/A c 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 500 b 0
Cricetus cricetus RO STE 23600 100 = x 8800 12000 N/A i minimum b 100 x 12000 i Y FV x poor poor poor FV FV = FV N/A N/A 22100 b 100
Cricetus cricetus HU PAN 43162 66.67 u > 369950 2458000 N/A i estimate c 99.05 u > Unk XX x poor poor unk U1 U1 x U1 - noChange method 36200 b 67.29
Cricetus cricetus BG CON 4100 2.07 = 4100 N/A N/A N/A i minimum c 0 x x Unk XX x unk unk unk XX XX x XX noChange noChange 1800 b 1.20
Cricetus cricetus SK PAN 3181.49 4.91 x 1000 5000 N/A i estimate c 0.21 = Y U1 = unk poor poor U1 U1 = U1 + N/A N/A 3500 b 6.51
Cricetus cricetus SK ALP 1601.08 15.85 x 1000 5000 N/A i estimate c 52.17 = > Y U1 = unk poor poor U1 U1 = U1 = N/A N/A 1400 b 22.22
Cricetus cricetus SI CON 29 0.01 x x N/A N/A 100 i minimum c 0.05 x > Unk XX x poor poor poor U1 U1 x U1 x noChange noChange 100 b 0.07
Cricetus cricetus DE CON 23198 11.73 - 40064 10000 50000 20000 i estimate b 10.87 - >> grids5x5 N Unk U2 - bad bad bad U2 U2 - U2 - noChange noChange 18300 b 12.18
Cricetus cricetus BE ATL 500 7.66 - >> 10 50 N/A i estimate b 0.56 u >> N N U2 u bad bad bad U2 U2 x U2 - noChange noChange 400 a 7.55
Cricetus cricetus AT CON 11200 5.66 - 50000 85000 60000 i minimum b 32.62 - >> N N U2 - poor bad bad U2 U2 - U1 x genuine genuine 9600 b 6.39
Cricetus cricetus NL ATL 700 10.73 u >> 200 500 N/A i estimate a 6.51 - >> N N U2 - bad bad bad U2 U2 - U2 + noChange genuine 500 a 9.43
Cricetus cricetus DE ATL 5324 81.61 - 9261 3000 7000 5000 i minimum b 92.94 - 134 grids5x5 N N U2 - bad bad bad U2 U2 - U2 - noChange noChange 4400 b 83.02
Cricetus cricetus HR CON 400 0.20 x >> N/A N/A 4 i minimum c 0 x >> N Unk U1 x poor unk poor U1 U2 x N/A N/A N/A b 0
Cricetus cricetus RO CON 93900 47.48 = x 35000 42000 N/A i minimum b 20.93 = 42000 i Y FV x poor poor poor FV FV = FV N/A N/A 87600 b 58.32
Cricetus cricetus RO ALP 8500 84.15 = x 2500 3000 N/A i minimum b 47.83 = 3000 i Y FV x poor poor poor FV FV = FV noChange noChange 4900 b 77.78
Cricetus cricetus FR CON 19.78 0.01 = 479 700 1000 N/A i mean b 0.46 u 4500 i N Unk U1 + bad good poor U2 U2 = U2 - noChange noChange 900 a 0.60
Cricetus cricetus CZ PAN 4900 7.57 = 2000 5000 N/A i estimate c 0.25 = Y FV = good good good FV FV = FV noChange noChange 2600 a 4.83
Cricetus cricetus CZ CON 24300 12.29 + 10000 20000 N/A i estimate c 8.15 + Y FV = good good good FV FV + FV noChange noChange 13700 a 9.12
Crocidura canariensis ES MAC 2512 100 u N/A N/A 61 grids1x1 minimum b 100 - 6990 grids1x1 Y U1 - poor bad poor U2 U2 - XX knowledge knowledge 2900 b 100
Crocidura sicula MT MED 14 0.06 = N/A N/A 14 grids1x1 minimum c 0.44 u x Y FV = good unk good FV FV x FV noChange noChange 200 a 1.23
Crocidura sicula IT MED 24400 99.94 = N/A N/A 3192 grids1x1 estimate b 99.56 = Y FV = good good good FV FV = FV noChange noChange 16100 b 98.77
Cystophora cristata PT MATL N/A 0 N N/ N/A N/A N/A N/A 0 N x N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A d 0
Cystophora cristata PT MMAC N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A d 0
Cystophora cristata NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Cystophora cristata UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange N/A d 0
Delphinapterus leucas UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange 1900 d 0
Delphinapterus leucas NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Delphinapterus leucas IE MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A XX XX noChange N/A N/A N/A 0
Delphinus delphis UK MATL 783562 42.75 = 783562 31735 117203 60988 i interval a 9.30 x x Unk XX x good unk unk XX XX x FV method noChange 328900 b 30.91
Delphinus delphis PT MMAC 1450200 96.61 = x N/A N/A 946 i minimum b 98.64 x x Unk FV x good good good FV FV = XX N/A N/A 124400 c 68.09
Delphinus delphis PT MATL 65509 3.57 = N/A N/A 45179 i mean a 6.89 = x Y U1 - good unk unk XX U1 = U1 = noChange noChange 77100 c 7.24
Delphinus delphis UK MMED 87 0.08 = 87 390 1800 400 i estimate b 1.04 = 400 i Y FV = good good good FV FV = FV noChange noChange 200 b 0.17
Delphinus delphis HR MMED N/A 0 N N/ N/A N/A N/A N/A 0 N N/ XX N N/A N/A N/A XX XX N/A N/A N/A N/A 0
Delphinus delphis IT MMED 5000 4.35 x x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX XX noChange N/A 2000 b 1.67
Delphinus delphis BG MBLS 33700 57.71 = 34156 2629 13076 N/A i estimate a 52.41 x 14000 i Y FV = poor poor poor U1 U1 = XX knowledge knowledge 17200 a 41.05
Delphinus delphis GR MMED 88385 76.95 - > 750 4200 N/A i estimate b 6.42 - >> N Unk U2 - poor bad bad U2 U2 - U2 - noChange noChange 86700 b 72.31
Delphinus delphis MT MMED 50 0.04 u x 166 216 N/A i estimate a 0.50 u x Unk Unk XX x unk unk unk XX XX XX noChange noChange 3000 a 2.50
Delphinus delphis FR MMED 1100 0.96 x x N/A N/A N/A interval d 0 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 1100 b 0.92
Delphinus delphis FR MATL 260800 14.23 = 143000 403000 N/A i interval b 41.63 = x Unk Unk XX x unk poor unk U1 U1 - U2 x knowledge knowledge 255300 b 23.99
Delphinus delphis NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Delphinus delphis IE MATL 612500 33.42 = 612500 47108 123866 N/A i interval b 13.04 u Y FV = good good good FV FV = FV noChange noChange 297800 b 27.98
Delphinus delphis RO MBLS 24700 42.29 = 2530 11731 N/A i interval b 47.59 = > Y FV = good poor good U1 U1 = U1 - noChange knowledge 24700 b 58.95
Delphinus delphis ES MATL 110417.27 6.02 x x 84394 355197 191106 i interval a 29.14 x x Unk XX x unk unk unk XX XX U2 - noInfo noInfo 105100 c 9.88
Delphinus delphis ES MMAC 50862.31 3.39 x x 13 N/A N/A i minimum c 1.36 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 58300 c 31.91
Delphinus delphis ES MMED 20242.70 17.62 x x 10292 125502 35478 i interval a 92.05 x x Unk XX x unk unk unk XX XX U2 x noInfo noInfo 26900 c 22.44
Dinaromys bogdanovi HR ALP 500 100 x >> N/A N/A 4 grids1x1 minimum b 100 x >> Unk XX x unk unk unk XX U2 x N/A N/A N/A b 0
Dinaromys bogdanovi HR MED 1500 100 x > N/A N/A 38 grids1x1 minimum b 100 x >> Unk XX x unk unk unk XX U2 x N/A N/A N/A b 0
Dryomys nitedula RO ALP 16400 23.72 x x 11500 12200 N/A grids1x1 minimum c 93.68 = 12200 grids1x1 Y FV = poor poor poor FV FV = FV N/A N/A 10700 b 37.81
Dryomys nitedula LT BOR 172 93.48 = > N/A N/A 36 grids1x1 estimate b 72 - > Y U1 - poor poor poor U1 U1 - U1 = noChange noChange 500 b 83.33
Dryomys nitedula IT ALP 3800 5.50 = 15 30 N/A grids1x1 estimate c 0.18 = Y FV = good good good FV FV = FV noChange noChange 3300 c 11.66
Dryomys nitedula BG CON 24700 29.20 = 24700 N/A N/A 199 grids1x1 minimum b 0.51 = 199 grids1x1 Unk XX x good good unk FV FV = FV noChange noChange 5800 b 10.90
Dryomys nitedula SK PAN 1090.97 7.62 - > N/A 1 N/A grids1x1 estimate c 0.10 - > Y U1 x poor poor poor U1 U2 - U2 + N/A N/A N/A b 0
Dryomys nitedula SK ALP 700 1.01 = 12 12 N/A grids1x1 estimate b 0.09 x Y FV = good poor poor U1 U1 = U1 = N/A N/A 700 b 2.47
Dryomys nitedula BG BLS 5700 100 = 5700 N/A N/A 28 grids1x1 minimum b 100 = 28 grids1x1 Unk XX x good good unk FV FV = FV noChange noChange 1200 b 100
Dryomys nitedula HR ALP 400 0.58 x >> N/A N/A 4 grids1x1 minimum b 0.03 x >> Unk XX x unk unk unk XX U2 x N/A N/A N/A b 0
Dryomys nitedula BG ALP 8200 11.86 = 8200 N/A N/A 81 grids1x1 minimum b 0.64 = 81 grids1x1 Unk XX x good good unk FV FV = FV noChange method 2000 b 7.07
Dryomys nitedula HR CON N/A 0 x x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX N/A N/A N/A b 0
Dryomys nitedula RO PAN 2200 15.36 = x 300 500 N/A grids1x1 minimum b 78.51 = 500 grids1x1 Y FV x poor poor poor FV FV = FV N/A N/A 1200 b 13.79
Dryomys nitedula HR MED 100 0.11 x >> N/A N/A 1 grids1x1 minimum b 0 x >> Unk XX x unk unk unk XX U2 x N/A N/A N/A b 0
Dryomys nitedula RO CON 45200 53.43 = x 34000 37400 N/A grids1x1 minimum b 92.29 x 37400 grids1x1 Y FV x poor poor poor FV FV = FV N/A N/A 40400 b 75.94
Dryomys nitedula GR MED 93500 98.73 = N/A N/A 68039 grids1x1 estimate b 99.99 = Y FV = good good good FV FV = FV noChange noChange 70900 b 98.47
Dryomys nitedula CZ CON 8500 10.05 x x 262 262 N/A grids1x1 estimate c 0.68 x x Y FV = unk unk good XX XX XX noChange noChange 3100 a 5.83
Dryomys nitedula LV BOR 12 6.52 x x N/A N/A 14 grids1x1 minimum b 28 x 14 grids1x1 Unk XX x unk unk unk XX XX XX noChange noChange 100 a 16.67
Dryomys nitedula PL CON 4300 5.08 x x N/A N/A 2511 grids1x1 estimate b 6.49 x x Y FV x unk unk good XX XX XX noChange noChange 3000 b 5.64
Dryomys nitedula PL ALP 1200 1.74 x x N/A N/A 553 grids1x1 estimate b 4.37 x x Y FV x unk unk good XX XX XX noChange noChange 600 b 2.12
Dryomys nitedula IT MED 1100 1.16 = 8 10 N/A grids1x1 estimate c 0.01 = Y FV = good good good FV FV = U1 x knowledge knowledge 1100 c 1.53
Dryomys nitedula HU PAN 11028 77.02 = > N/A N/A 109 grids1x1 minimum b 21.39 x > Y U1 = poor unk poor U1 U1 = U1 = noChange noChange 7500 b 86.21
Dryomys nitedula RO STE 2700 100 = x 2200 2600 N/A grids1x1 minimum b 100 x 2600 grids1x1 Y FV x poor poor poor FV FV = FV N/A N/A 2300 b 100
Dryomys nitedula SI ALP 7656 11.07 x 7656 N/A N/A 18 grids1x1 minimum b 0.14 x Y FV = good good good FV FV x FV noChange noChange 1800 c 6.36
Dryomys nitedula AT ALP 30700 44.40 - > N/A N/A 108 grids1x1 minimum c 0.85 x x Y FV x good good good FV U1 x FV knowledge noInfo 9100 c 32.16
Dryomys nitedula AT CON 1900 2.25 x > N/A N/A 9 grids1x1 minimum c 0.02 x x N Unk U1 x poor poor poor U1 U1 x FV knowledge knowledge 900 c 1.69
Dryomys nitedula DE ALP 83 0.12 x x N/A N/A 1 grids1x1 estimate c 0.01 x x localities Unk XX x unk unk unk XX XX x XX noChange noChange 100 d 0.35
Eptesicus anatolicus CY MED N/A 0 x x N/A N/A 1 grids1x1 estimate b 0.06 x x Unk XX x unk unk unk XX XX N/A N/A noChange noChange N/A c 0
Eptesicus anatolicus GR MED 1411 100 x N/A N/A 1557 grids1x1 estimate b 99.94 x > N Unk U1 - unk poor poor U1 U1 x U1 x noChange noChange 2500 b 100
Eptesicus isabellinus PT MED 3900 25.49 x x N/A N/A 30 grids1x1 minimum b 20.13 x x Unk XX x unk unk unk XX XX N/A N/A knowledge knowledge 1800 b 94.74
Eptesicus isabellinus ES MED 11400 74.51 = > 119 N/A N/A grids1x1 estimate b 79.87 = 119 grids1x1 Y FV = good good good FV FV = N/A N/A knowledge noChange 100 a 5.26
Eptesicus nilssonii HR ALP 7600 0 x N/A N/A 5 grids1x1 minimum b 0 x x Unk XX x unk unk poor XX XX N/A N/A 7500 b 0
Eptesicus nilssonii NL ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Eptesicus nilssonii IT ALP 22300 22.13 = 1000 25000 N/A grids1x1 estimate c 60.35 = Y FV = good good poor U1 U1 = FV noChange noChange 6200 c 13.05
Eptesicus nilssonii LU CON N/A 0 x x N/A N/A N/A d 0 x x Unk U1 x unk unk unk XX U1 x U1 x noChange noChange N/A d 0
Eptesicus nilssonii UK ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A noChange noChange N/A d 0
Eptesicus nilssonii FR MED 600 0 x x N/A N/A N/A mean d 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange 200 b 0
Eptesicus nilssonii AT CON 8300 3.11 = 96 N/A N/A grids1x1 minimum b 0.18 x x Y FV = good unk good FV FV = U1 = method noChange 6500 b 5.89
Eptesicus nilssonii FR ATL N/A 0 x x N/A N/A N/A mean d 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange N/A b 0
Eptesicus nilssonii SI ALP 7156 7.10 = N/A N/A 19 grids1x1 estimate c 0.09 x x Unk XX x good unk unk XX XX XX noChange noChange 1100 b 2.32
Eptesicus nilssonii FR CON 4000 1.50 x 1800 2000 N/A grids1x1 mean b 3.60 x x N Unk XX = good unk poor U1 U1 x XX knowledge noChange 2000 b 1.81
Eptesicus nilssonii BG ALP 9400 9.33 u x N/A N/A 13 grids1x1 minimum b 0.06 u 1 grids1x1 Y FV = unk unk unk XX XX x XX method method 900 b 1.89
Eptesicus nilssonii PL CON 20000 7.49 x N/A N/A 7400 grids1x1 minimum b 14.01 x x Y FV = good good good FV FV x FV noChange noChange 7200 b 6.53
Eptesicus nilssonii FI ALP 100 0.10 x x 1 100 N/A grids1x1 estimate c 0.23 x x Unk XX x unk unk unk XX XX XX noChange noChange 100 a 0.21
Eptesicus nilssonii DE CON 125001 46.79 = 40790 40790 40790 grids1x1 estimate b 77.23 - > localities Y U1 - good unk poor U1 U1 - U1 x noChange method 43900 c 39.80
Eptesicus nilssonii DE ATL 1660 100 u x 429 429 429 grids1x1 estimate b 100 u x localities Unk XX u unk unk unk XX XX x XX noChange noChange 500 c 100
Eptesicus nilssonii FR ALP 7100 7.05 + 2000 3000 N/A grids1x1 mean c 11.60 x x Unk Y XX = good unk unk XX XX = XX knowledge noChange 2800 b 5.89
Eptesicus nilssonii DE ALP 3923 3.89 = 2494 2494 2494 grids1x1 estimate c 11.58 x x localities Y FV = good unk good FV FV = FV noChange noChange 2700 c 5.68
Eptesicus nilssonii RO ALP 7700 7.64 = 100 500 N/A grids1x1 minimum b 1.39 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 2500 b 5.26
Eptesicus nilssonii RO CON 8700 3.26 = 300 500 N/A grids1x1 minimum b 0.76 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 3300 b 2.99
Eptesicus nilssonii LV BOR 64589 7.67 = N/A N/A 64589 grids1x1 estimate b 31 = 64589 grids1x1 Y FV = good good good FV FV = FV noChange noChange 23900 b 9.13
Eptesicus nilssonii EE BOR 52000 6.18 + N/A N/A 1448 grids1x1 minimum b 0.70 = Y FV = good good good FV FV + FV noChange noChange 30300 a 11.57
Eptesicus nilssonii HU PAN 199 100 x x N/A N/A 3 grids1x1 minimum c 100 x x Unk U1 x unk poor poor U1 U1 x XX knowledge noChange 300 c 100
Eptesicus nilssonii AT ALP 21700 21.53 = 283 N/A N/A grids1x1 minimum b 1.31 x x Y FV = good unk good FV FV = U1 = method noChange 15700 b 33.05
Eptesicus nilssonii SE ALP 6700 0 x 6700 N/A N/A 3 grids1x1 estimate c 0 = N/ XX N unk unk unk XX XX FV N/A N/A 1600 b 0
Eptesicus nilssonii PL ALP 5200 5.16 x N/A N/A 2000 grids1x1 minimum b 9.28 x Y FV = good good good FV FV x FV noChange noChange 1800 b 3.79
Eptesicus nilssonii SE CON 24900 9.32 = 24900 N/A N/A 174 grids1x1 estimate c 0.33 = 75000 i Y FV = good good good FV FV = FV noChange noChange 14800 b 13.42
Eptesicus nilssonii SE BOR 380000 45.15 = 380000 N/A N/A 467 grids1x1 estimate c 0.22 = 1600000 i Y FV = good good good FV FV = FV noChange noChange 118600 b 45.28
Eptesicus nilssonii DK CON 360 0.13 + > N/A N/A N/A b 0 + > Unk Y XX u unk unk unk XX U1 + XX N/A N/A 600 b 0.54
Eptesicus nilssonii SI CON 6085 2.28 = N/A N/A 6 grids1x1 estimate c 0.01 x x Unk XX x good unk unk XX XX XX noChange noChange 200 b 0.18
Eptesicus nilssonii LT BOR 65200 7.75 x N/A N/A 845 grids1x1 minimum c 0.41 + Unk XX x good unk unk XX XX U1 x noChange noChange 30300 b 11.57
Eptesicus nilssonii CZ CON 69800 26.13 = 2047 2047 N/A grids1x1 estimate a 3.88 = > Y FV = good poor good XX U1 = U1 = noChange noChange 31800 a 28.83
Eptesicus nilssonii FI BOR 279800 33.25 = 2146 279800 N/A grids1x1 estimate b 67.67 = Y FV = good good good FV FV = FV noChange noChange 58800 a 22.45
Eptesicus nilssonii SK ALP 16196.30 16.07 = 883 883 N/A grids1x1 estimate c 4.10 + Y FV x good good good FV FV = XX knowledge N/A 13700 b 28.84
Eptesicus serotinus BG BLS 8200 100 = 8200 N/A N/A 11 grids1x1 minimum b 100 = 11 grids1x1 Y FV = unk unk unk XX FV = U1 - noChange method 800 b 100
Eptesicus serotinus LV BOR 30 0.02 x 30 N/A N/A 3 grids1x1 minimum c 0.35 x 3 grids1x1 Y XX x good unk unk XX XX XX noChange noChange 300 d 0.78
Eptesicus serotinus AT ALP 18800 10.41 = 311 N/A N/A grids1x1 minimum b 0.69 x x Y U1 = good poor poor U1 U1 = U1 - noChange knowledge 14300 b 20.34
Eptesicus serotinus PT ATL 2100 0.50 x 5100 N/A N/A 4 grids1x1 minimum b 0 x x Unk XX x unk unk unk XX XX XX noChange knowledge 400 b 0.15
Eptesicus serotinus IT MED 97500 18.14 = 840 16800 N/A grids1x1 estimate c 4.47 = Y FV = good good good FV FV = FV noChange noChange 19300 b 7.85
Eptesicus serotinus FR MED 47900 8.91 = 77400 77400 N/A grids1x1 mean b 39.26 x < Y Y U1 - good unk poor U1 U1 x U1 = noChange noChange 24800 b 10.08
Eptesicus serotinus FR CON 104400 11.21 = 197700 200000 N/A grids1x1 mean b 51.80 - Y Y U1 - good poor poor U1 U1 - U1 = noChange noChange 51400 b 12.15
Eptesicus serotinus PT MED 22400 4.17 x x N/A N/A 123 grids1x1 minimum b 0.06 x x Unk XX x unk unk unk XX XX N/A N/A noChange knowledge 6600 b 2.68
Eptesicus serotinus FR ATL 132700 31.86 = 74000 78800 N/A grids1x1 mean c 60.36 - Y Y U1 - good poor poor U1 U1 - U1 = noChange noChange 81800 b 30.83
Eptesicus serotinus FI BOR N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 400 a 0
Eptesicus serotinus FR ALP 21100 11.69 = 36400 36400 N/A grids1x1 mean b 80.98 x x Y Unk XX = good unk poor U1 U1 = XX knowledge noChange 9500 b 13.51
Eptesicus serotinus AT CON 23900 2.57 = 399 N/A N/A grids1x1 minimum b 0.10 - >> Y U1 = good poor poor U1 U2 - U1 - knowledge noChange 17200 b 4.07
Eptesicus serotinus DK ATL 12246 2.94 = N/A N/A N/A d 0 u x Y FV = good unk good FV FV = FV N/A N/A 2900 b 1.09
Eptesicus serotinus HU PAN 93011 84.69 = N/A N/A 448 grids1x1 minimum c 28.87 = Y FV = poor poor good U1 U1 = FV genuine method 21400 b 63.88
Eptesicus serotinus DK CON 25987 2.79 = N/A N/A N/A d 0 u x Y FV = good unk good FV FV x FV N/A N/A 11100 b 2.62
Eptesicus serotinus SI CON 12616 1.35 = 12616 171 186 N/A grids1x1 estimate a 0.05 u > N Unk U2 - good poor bad U2 U2 x U1 - knowledge knowledge 8200 b 1.94
Eptesicus serotinus SI ALP 7656 4.24 = 44 59 N/A grids1x1 estimate a 0.11 u > N Unk U2 - good poor bad U2 U2 x U1 - knowledge knowledge 3400 b 4.84
Eptesicus serotinus HR MED 6400 1.19 x >> N/A N/A 13 grids1x1 minimum b 0.01 x >> Unk XX x unk unk poor XX U2 x N/A N/A 5600 b 2.28
Eptesicus serotinus HR CON 20200 2.17 x >> N/A N/A 52 grids1x1 minimum b 0.01 x >> Unk XX x unk unk poor XX U2 x N/A N/A 19400 b 4.59
Eptesicus serotinus LU CON 4000 0.43 = N/A N/A 2200 grids1x1 estimate b 0.57 x Y U1 - good unk poor U1 U1 x U1 - noChange noInfo 2800 c 0.66
Eptesicus serotinus ES MED 235400 43.79 = 588 N/A N/A grids1x1 minimum a 0.30 = 588 grids1x1 Y FV = good poor good FV U1 = N/A N/A noChange noChange 62800 a 25.53
Eptesicus serotinus ES ATL 39700 9.53 = 146 14600 N/A grids1x1 estimate b 5.83 = 14600 grids1x1 Y FV = good poor good FV U1 = U1 x noChange knowledge 13900 a 5.24
Eptesicus serotinus ES ALP 8200 4.54 + 39 N/A N/A grids1x1 minimum a 0.09 = 39 grids1x1 Y FV = good poor good FV U1 = U1 = noChange noChange 2500 a 3.56
Eptesicus serotinus GR MED 120709 22.45 x N/A N/A 110214 grids1x1 estimate b 55.90 x Unk XX x good good unk FV XX XX noChange noChange 121300 b 49.31
Eptesicus serotinus IT CON 90400 9.71 = 1300 26000 N/A grids1x1 estimate c 3.56 = Y FV = good good good FV FV = FV noChange noChange 26600 b 6.29
Eptesicus serotinus BE ATL 20900 5.02 = N/A N/A 884 grids1x1 estimate b 0.70 + Y FV = good good good FV FV + FV noChange noChange 15600 b 5.88
Eptesicus serotinus IT ALP 52300 28.97 = 335 6700 N/A grids1x1 estimate c 7.83 = Y FV = good good good FV FV = FV noChange noChange 9100 b 12.94
Eptesicus serotinus DE CON 281140 30.19 = 122035 122035 122035 grids1x1 estimate b 31.79 - 1474 localities N Unk U1 - good poor poor U1 U1 - U1 - noChange noChange 152900 c 36.16
Eptesicus serotinus DE ATL 71511 17.17 = 71511 33278 33278 33278 grids1x1 estimate b 26.29 - 191 localities N Y U1 x poor poor poor U1 U1 - U1 - noChange noChange 39200 c 14.78
Eptesicus serotinus DE ALP 2080 1.15 = 569 569 569 grids1x1 estimate c 1.27 x x localities Y XX u good unk unk XX XX x XX noChange noChange 700 c 1
Eptesicus serotinus RO STE 3100 100 = 300 500 N/A grids1x1 minimum b 100 = Y FV = poor poor poor FV FV = U1 = knowledge knowledge 1500 b 100
Eptesicus serotinus RO CON 42900 4.61 = 2000 4000 N/A grids1x1 minimum b 0.78 = Y FV = good good good FV FV = U1 = knowledge knowledge 16700 b 3.95
Eptesicus serotinus CZ CON 80300 8.62 = 4323 4323 N/A grids1x1 estimate a 1.13 = Y FV = good good good FV FV = FV noChange noChange 48700 a 11.52
Eptesicus serotinus CZ PAN 5900 5.37 = 342 342 N/A grids1x1 estimate a 22.04 = Y FV = good good good FV FV = FV noChange noChange 2700 a 8.06
Eptesicus serotinus NL ATL 46500 11.16 x N/A N/A 4716 grids1x1 estimate c 3.73 x > Unk XX x poor poor poor U1 U1 x U1 + noChange noInfo 43200 b 16.28
Eptesicus serotinus CY MED 7293 1.36 x N/A N/A 13 grids1x1 estimate b 0.01 x x Y FV = good unk good FV FV x XX knowledge noChange 5600 c 2.28
Eptesicus serotinus HR ALP 4900 2.71 x >> N/A N/A 9 grids1x1 minimum b 0.02 x >> Unk XX x unk unk unk XX U2 x N/A N/A 3900 b 5.55
Eptesicus serotinus SK PAN 10911.61 9.94 = 762 762 N/A grids1x1 estimate b 49.10 + Y FV x good good good FV FV = XX knowledge N/A 9400 b 28.06
Eptesicus serotinus SE CON 16600 1.78 + 16600 N/A N/A 82 grids1x1 estimate c 0.02 + 2000 i Y FV = good poor unk U1 U1 + U2 x genuine genuine 5900 b 1.40
Eptesicus serotinus SE BOR 58400 47.24 + 58400 N/A N/A 220 grids1x1 estimate c 25.85 + 5000 i Y FV = good poor unk U1 U1 + U2 x genuine genuine 12500 b 32.55
Eptesicus serotinus LT BOR 65200 52.74 x N/A N/A 628 grids1x1 minimum c 73.80 x x Unk XX x good unk unk XX XX U1 x noInfo noInfo 25600 b 66.67
Eptesicus serotinus BE CON 14600 1.57 = N/A N/A 553 grids1x1 estimate a 0.14 u Y FV = good good good FV FV x FV noChange noChange 11200 b 2.65
Eptesicus serotinus BG CON 77400 8.31 = 77400 N/A N/A 283 grids1x1 minimum b 0.07 = 283 grids1x1 Y FV = unk unk unk XX FV = U1 - noChange method 12600 b 2.98
Eptesicus serotinus BG ALP 23000 12.74 = 23000 N/A N/A 61 grids1x1 minimum b 0.14 = 61 grids1x1 Y FV = unk unk unk XX FV = FV method method 3100 b 4.41
Eptesicus serotinus SK ALP 22626.58 12.53 = 1191 1191 N/A grids1x1 estimate b 2.65 + Y FV x good good good FV FV = XX knowledge N/A 17800 b 25.32
Eptesicus serotinus RO ALP 15000 8.31 = 500 1500 N/A grids1x1 minimum b 2.22 = Y FV = good good good FV FV = U1 = knowledge knowledge 4400 b 6.26
Eptesicus serotinus UK ATL 90873 21.82 + 90873 N/A N/A 3920 grids1x1 minimum b 3.10 = Y FV x good good good FV FV = FV noChange noChange 68300 b 25.74
Eptesicus serotinus PL CON 136900 14.70 = N/A N/A 38300 grids1x1 minimum c 9.98 = Y FV = good good good FV FV = FV noChange noChange 38200 b 9.03
Eptesicus serotinus PL ALP 4900 2.71 = N/A N/A 1800 grids1x1 minimum c 4 = Y FV = good good good FV FV = FV noChange noChange 1600 b 2.28
Erignathus barbatus UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange N/A d 0
Erinaceus algirus MT MED 110 0.21 = N/A N/A 1070 i minimum b 81 = Y FV = good good good FV FV = FV noChange noChange 1000 b 3.57
Erinaceus algirus ES MAC 9000 100 = 67 N/A N/A i minimum b 100 = 67 grids10x10 Y U1 = good poor poor U1 U1 = FV genuine knowledge 7600 a 100
Erinaceus algirus ES MED 53100 99.79 + 251 N/A N/A i minimum a 19 = 10000 i Y U1 - good poor poor U1 U1 = FV genuine genuine 27000 a 96.43
Eubalaena glacialis PT MATL N/A 0 N N/ N/A N/A N/A N/A 0 N x N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A d 0
Eubalaena glacialis PT MMAC N/A 0 x x N/A N/A N/A d 0 N N/ Unk XX N unk unk unk XX XX N/A N/A N/A N/A N/A d 0
Eubalaena glacialis ES MMAC N/A 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX U2 x noInfo noInfo N/A c 0
Eubalaena glacialis ES MATL N/A 0 x x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX U2 x noInfo noInfo N/A c 0
Eubalaena glacialis UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange N/A d 0
Eubalaena glacialis FR MATL N/A 0 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange N/A c 0
Eubalaena glacialis IE MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A XX XX noChange N/A N/A N/A 0
Felis silvestris BG CON 73600 13.81 = 73600 1090 2960 N/A i minimum b 9.80 - 351 i Y FV = poor poor poor U1 U1 - U1 x noChange genuine 47300 b 11.57
Felis silvestris LU CON 3900 0.73 = 3900 334 N/A N/A i minimum b 1.62 + 1892 grids1x1 Y U1 - poor poor poor U1 U1 = U1 = knowledge noChange 2500 b 0.61
Felis silvestris FR ALP 9700 5.73 = N/A N/A N/A mean b 0 = Y Unk FV = good good unk FV FV = FV noChange noChange 9500 b 9.10
Felis silvestris HR ALP 10979 6.49 x 403 620 N/A i mean b 6.01 x x Y FV = good unk good FV FV x N/A N/A 7400 b 7.09
Felis silvestris FR ATL 27000 28.15 = N/A N/A N/A mean b 0 = Y FV = good good unk FV FV = FV noChange noChange 25200 b 42.42
Felis silvestris FR CON 126200 23.68 + N/A N/A N/A mean b 0 + Y FV = good good unk FV FV + FV noChange noChange 127900 b 31.29
Felis silvestris FR MED 1800 0.32 + N/A N/A N/A mean b 0 x x Unk Y FV = good unk unk XX XX = N/A N/A method noChange 4000 b 1.27
Felis silvestris CZ CON 1700 0.32 + >> N/A 5 N/A i estimate b 0.01 + >> Unk XX x bad bad unk U2 U2 = XX knowledge knowledge 1200 a 0.29
Felis silvestris HR CON 31076 5.83 = 1613 1863 N/A i mean b 8.41 u x Unk XX x good unk unk XX XX N/A N/A 35500 b 8.69
Felis silvestris HR MED 12951 2.27 = N/A N/A 200 i minimum c 0.48 x 250 i Unk XX x good unk unk XX XX N/A N/A 17700 b 5.63
Felis silvestris UK ATL 13394 13.97 - 43211 30 314 N/A i interval a 1.95 u 3500 i Unk Unk XX u bad bad unk U2 U2 x U2 - noChange method 3200 b 5.39
Felis silvestris PT MED 13300 2.33 x > N/A N/A N/A d 0 - x N Unk U1 - unk unk poor XX U1 - U1 - noChange noChange 6600 d 2.10
Felis silvestris PT ATL 2500 2.61 x x N/A N/A N/A d 0 - x N Unk U1 - unk unk poor XX U1 - U1 - noChange noChange 1400 d 2.36
Felis silvestris SK PAN 1942.91 5.67 = > 100 200 N/A i estimate b 11.93 = > Y U1 = good unk unk XX U1 = U1 = N/A N/A 1600 b 5.21
Felis silvestris SI CON 12616 2.37 = 12616 N/A N/A 84 i minimum c 0.41 = Y FV = good good good FV FV = U1 x method method 4900 c 1.20
Felis silvestris SI ALP 6767 4 = N/A N/A 39 i minimum c 0.46 = Y FV = good good good FV FV = U1 x method method 2900 c 2.78
Felis silvestris PL ALP 5300 3.13 u > N/A N/A 100 i minimum b 1.17 u > Unk XX x poor poor unk U1 U1 x U1 x noChange noChange 2900 b 2.78
Felis silvestris PL CON 2900 0.54 u x N/A N/A 50 i minimum b 0.24 u x Unk XX x poor poor unk U1 U1 x U1 x noChange noChange 1300 b 0.32
Felis silvestris RO STE 30500 100 = 500 700 N/A i estimate a 100 = 470 i Y FV = good good good FV FV = FV noChange noChange 19700 a 100
Felis silvestris RO PAN 15600 45.54 = 450 600 N/A i estimate a 41.77 = 410 i Y FV = good good good FV FV = FV noChange noChange 10900 a 35.50
Felis silvestris RO CON 136000 25.52 = 4850 5390 N/A i estimate a 24.78 = 4850 i Y FV = good good good FV FV = FV noChange noChange 97200 a 23.78
Felis silvestris RO BLS 2800 22.76 = 35 40 N/A i estimate a 12.61 = 35 i Y FV = good good good FV FV = FV noChange noChange 1500 a 22.06
Felis silvestris RO ALP 64200 37.95 = 2170 2420 N/A i estimate a 26.95 = 2170 i Y FV = good good good FV FV = FV noChange noChange 42300 a 40.52
Felis silvestris GR MED 84604 14.81 x x N/A N/A N/A d 0 x Unk XX x unk good good FV XX XX noChange noChange 92500 a 29.40
Felis silvestris DE ATL 9410 9.81 + >> 1000 5000 2000 i minimum b 22.66 + >> grids10x10 N Y U1 + poor poor poor U1 U2 + U2 + noChange noChange 5800 b 9.76
Felis silvestris BE CON 14600 2.74 + 2700 5600 N/A i estimate b 20.08 + > Y U1 = good poor poor U1 U1 + U1 - noChange knowledge 10500 b 2.57
Felis silvestris BE ATL 1800 0 + >> 2 10 N/A i estimate b 0 + >> N Y U1 = poor poor poor U1 U2 + N/A N/A genuine genuine 200 b 0
Felis silvestris BG BLS 9500 77.24 = 9500 140 380 N/A i minimum b 87.39 u 380 i Y FV = poor poor poor U1 U1 = U1 x noChange noInfo 5300 b 77.94
Felis silvestris IT CON 17400 3.26 + 80 240 N/A i estimate b 0.77 + Y FV + good good good FV FV + FV noChange genuine 7300 b 1.79
Felis silvestris NL ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Felis silvestris DE CON 112952 21.19 + > 5000 10000 7000 i estimate b 33.88 + > grids10x10 N Y U1 + poor poor poor U1 U1 + U1 + noChange noChange 73100 b 17.89
Felis silvestris ES MED 387600 67.84 + 1557 54544 40482 i estimate b 98.08 = 54544 i Y U1 = good poor poor FV U1 = FV knowledge knowledge 164600 a 52.32
Felis silvestris ES ATL 43600 45.46 = 256 7861 6656 i estimate b 75.40 = 7861 i Y U1 = good poor poor FV U1 = FV knowledge knowledge 23800 a 40.07
Felis silvestris ES ALP 17400 10.28 = 125 3250 3250 i estimate b 38.16 = 3250 i Y U1 = good good poor FV U1 = FV knowledge knowledge 8500 a 8.14
Felis silvestris BG ALP 25800 15.25 = 25800 380 1035 N/A i minimum b 8.31 - 1027 i Y FV = poor poor poor U1 U1 - U1 x noChange genuine 15400 b 14.75
Felis silvestris HU PAN 16715 48.79 u N/A N/A 582 i minimum c 46.30 u >> Y U1 = poor bad poor U2 U2 x U2 - noChange method 18200 c 59.28
Felis silvestris SK ALP 18540.23 10.96 = > 1000 2000 N/A i estimate b 17.61 = > Y U1 = good poor poor U1 U1 = U1 = N/A N/A 10500 b 10.06
Felis silvestris IT ALP 10500 6.21 + 57 171 N/A i estimate b 1.34 + Y FV = good good good FV FV + FV noChange genuine 5000 b 4.79
Felis silvestris IT MED 71100 12.44 + 297 891 N/A i estimate c 1.44 + Y FV = good good good FV FV + FV noChange genuine 29200 b 9.28
Galemys pyrenaicus PT ATL 1600 9.46 - > N/A N/A N/A d 0 - > N Unk U1 - bad unk bad U2 U2 - U1 x knowledge knowledge 1100 b 6.32
Galemys pyrenaicus PT MED 7700 38.99 - > N/A N/A N/A d 0 - > N Unk U1 - bad unk bad U2 U2 - U1 x knowledge knowledge 5400 b 39.42
Galemys pyrenaicus ES ALP 6000 93.40 - >> 925 2478 N/A i minimum a 25.81 - 5000 i Y FV = bad bad good U2 U2 - U2 = genuine knowledge 5000 a 34.97
Galemys pyrenaicus FR MED 50 0.25 - >> 150 1000 N/A i minimum b 25.12 = >> N Y U1 - unk unk unk XX U2 - U2 = noChange noChange 1500 b 10.95
Galemys pyrenaicus ES MED 12000 60.76 - >> 1503 1925 N/A i minimum a 74.88 - 6000 i Y FV = bad bad good U2 U2 - U2 - genuine knowledge 6800 a 49.64
Galemys pyrenaicus FR ATL 108 0.64 - >> 324 2160 N/A i minimum b 14.80 - >> N Unk U1 - unk unk unk XX U2 - U2 = noChange noChange 3300 b 18.97
Galemys pyrenaicus FR ALP 424 6.60 - > 1280 8500 N/A i minimum b 74.19 - >> Unk Y U1 - unk unk unk XX U2 - U2 = knowledge knowledge 9300 b 65.03
Galemys pyrenaicus ES ATL 15200 89.90 - >> 6852 7447 N/A i minimum a 85.20 - 10000 i Y FV = bad bad good U2 U2 - U2 - genuine knowledge 13000 a 74.71
Genetta genetta FR ATL 111400 60.09 = N/A N/A N/A mean b 0 = Y FV = good good good FV FV = FV noChange noChange 104400 b 73.37
Genetta genetta ES ATL 67800 36.57 = 346 19311 N/A i estimate b 100 = 19311 i Y FV x poor good good FV FV = FV noChange knowledge 34700 a 24.39
Genetta genetta ES ALP 17000 67.19 = 133 5144 N/A i estimate b 100 = 133 i Y FV = poor good good FV FV = FV noChange knowledge 8900 a 53.29
Genetta genetta PT ATL 6200 3.34 = N/A N/A N/A d 0 x x Unk XX - good unk unk XX XX XX noChange noChange 3200 d 2.25
Genetta genetta FR CON 37300 100 + N/A N/A N/A mean b 0 = Y FV = good good good FV FV + FV noChange noChange 38900 b 100
Genetta genetta PT MED 60800 11.16 = N/A N/A N/A d 0 x x Unk XX - good unk unk XX XX FV noChange noChange 25500 d 8.19
Genetta genetta ES MED 448000 82.23 = 2345 143983 N/A i estimate b 100 = 143983 i Y FV = good good good FV FV = FV noChange knowledge 244600 a 78.52
Genetta genetta FR MED 36000 6.61 = N/A N/A N/A mean b 0 = Y FV = good good good FV FV = FV noChange noChange 41400 b 13.29
Genetta genetta FR ALP 8300 32.81 = N/A N/A N/A mean b 0 = Y FV = good good good FV FV = FV noChange noChange 7800 b 46.71
Globicephala macrorhynchus ES MATL N/A 0 x x N/A N/A N/A i interval a 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A b 0
Globicephala macrorhynchus UK MMED 87 0 x 87 N/A 3 N/A i estimate b 0 x 3 i Y XX x unk unk good XX XX XX noChange noChange 400 c 0
Globicephala macrorhynchus PT MMAC 1450200 98.41 = x N/A N/A 254 i minimum b 9.78 x x Unk FV x good good good FV FV = XX N/A N/A 32800 c 53.25
Globicephala macrorhynchus PT MATL N/A 0 N N/ N/A N/A N/A N/A 0 N x N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A c 0
Globicephala macrorhynchus ES MMAC 23400.39 1.59 x x 1450 2910 2344 i interval a 90.22 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 28800 b 46.75
Globicephala melas ES MMAC 23.95 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 28900 b 0
Globicephala melas FR MMED 104300 86.70 = 100 2500 N/A i interval c 39.60 = x Unk Unk XX x unk unk unk XX XX = XX noChange noChange 104000 c 78.97
Globicephala melas UK MMED 87 0.07 x 87 1 15 15 i estimate b 0.46 x 15 i Y FV x unk good good FV FV x XX knowledge noChange 200 d 0.15
Globicephala melas PT MMAC 984900 0 x x N/A N/A N/A N/A 0 N N/ Unk Unk XX x unk unk unk XX XX N/A N/A N/A N/A N/A a 0
Globicephala melas ES MMED 15711.35 13.06 x x 517 7978 1968 i interval a 59.95 - > Unk XX x unk poor unk XX U2 x U1 x noInfo noInfo 27300 b 20.73
Globicephala melas IT MMED 200 0.17 x x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX XX noChange noChange 200 b 0.15
Globicephala melas IE MATL 585000 28.40 = 585000 4894 16685 N/A i interval a 21.82 u Y FV = good good good FV FV = FV noChange noChange 199700 b 25.46
Globicephala melas DK MATL N/A 0 x x N/A N/A N/A minimum d 0 x x Unk Unk XX x unk unk unk XX XX N/A N/A N/A N/A N/A c 0
Globicephala melas NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Globicephala melas FR MATL 275100 13.36 = 3800 4000 N/A i interval b 7.89 = x Unk Unk XX x unk unk unk XX XX = XX noChange noChange 252900 c 32.25
Globicephala melas UK MATL 974500 47.31 = 974500 12039 64280 27818 i interval a 56.26 x x Unk XX x good unk unk XX XX x XX noChange noChange 117700 d 15.01
Globicephala melas MT MMED N/A 0 N N/ N/A N/A N/A i estimate a 0 N N/ N/A N N/A N/A N/A N/A N/A N/A XX N/A N/A N/A N/A 0
Globicephala melas ES MATL 172714.22 8.39 x x 1663 31818 6863 i interval a 13.88 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 151400 b 19.30
Globicephala melas PT MATL 52392 2.54 + x 25 252 76 i estimate a 0.15 x x Y XX u unk unk unk XX XX XX N/A N/A 62600 a 7.98
Grampus griseus ES MMED 129667.45 35.24 = x 3517 33839 10478 i interval a 74.29 - Unk XX x unk unk unk XX U1 x XX noInfo noInfo 136100 b 39.74
Grampus griseus ES MMAC 24837.43 1.68 x x 278 1273 595 i interval b 66.55 = x Unk XX x unk unk unk XX XX XX noInfo noInfo 29700 b 42.61
Grampus griseus ES MATL 5879.56 0.50 x x N/A 1902 575 i interval a 3.36 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 9200 b 1.72
Grampus griseus FR MMED 105700 28.73 = 550 5800 N/A i interval b 22.51 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 104500 c 30.51
Grampus griseus FR MATL 253600 21.46 = 200 7800 N/A i interval b 23.37 = x Unk Unk XX x unk unk unk XX XX = XX noChange noChange 252800 c 47.38
Grampus griseus MT MMED 7 0 N N/ N/A N/A 15 i minimum a 0 N N/ N/A N N/A N/A N/A N/A N/A N/A XX N/A N/A 600 a 0
Grampus griseus GR MMED 122904 33.40 x 100 600 N/A i estimate b 2.48 x x N Unk U1 x poor unk poor XX U1 x U1 x noChange noChange 99200 b 28.96
Grampus griseus IT MMED 9600 2.61 x x N/A N/A 100 i minimum a 0.71 x x Unk XX x unk unk unk XX XX XX noChange noChange 2500 b 0.73
Grampus griseus IE MATL 372500 31.51 = 372500 1212 5707 N/A i interval a 20.22 u x Y FV = good unk good FV FV = XX knowledge knowledge 62500 b 11.71
Grampus griseus NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Grampus griseus HR MMED 8500 0 x x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX N/A N/A 3500 c 0
Grampus griseus UK MATL 531679 44.98 = 531679 2613 23664 7864 i interval a 45.95 x x Unk XX x good unk unk XX XX x XX noChange noChange 183500 b 34.39
Grampus griseus UK MMED 87 0.02 x 87 N/A 2 2 i estimate b 0.01 x 2 i Y XX x unk unk good XX XX XX noChange noChange 200 b 0.06
Grampus griseus PT MMAC 1450200 98.32 = x N/A N/A 299 i minimum d 33.45 x x Unk Unk XX x unk unk unk XX XX XX N/A N/A 40000 c 57.39
Grampus griseus PT MATL 18322 1.55 + x N/A N/A 1215 i estimate a 7.10 x x Y XX u unk unk unk XX XX XX N/A N/A 25600 c 4.80
Gulo gulo FI ALP 21100 17.13 = 14000 16000 15000 grids1x1 estimate b 87.05 = Y FV = good unk good FV FV = FV noChange method 16300 a 18.67
Gulo gulo SE ALP 102100 82.87 = 102100 N/A N/A 2231 grids1x1 estimate a 12.95 + 390 i Y FV = good good unk FV U1 + FV genuine genuine 71000 a 81.33
Gulo gulo SE BOR 191600 37.22 + 191600 N/A N/A 3874 grids1x1 estimate a 4.13 + 210 i Y FV = good good good FV U1 + N/A N/A method method 96300 a 32.60
Gulo gulo FI BOR 323200 62.78 + 60000 120000 90000 grids1x1 estimate b 95.87 + > Y FV = good good good FV U1 + U1 + noChange noChange 199100 a 67.40
Halichoerus grypus FI MBAL 111900 27.14 = 13000 17500 N/A i mean a 31.99 = Y FV = good good good FV FV = FV noChange method 99700 a 29.08
Halichoerus grypus DK MATL 76600 6.55 = 350 600 500 i mean a 0.32 + >> Y FV = good poor good U1 U2 + U2 + noChange genuine 88700 c 11.33
Halichoerus grypus DK MBAL 28700 6.96 = 800 1200 1000 i estimate a 2.10 + >> Y FV = good poor good U1 U2 + U2 + noChange genuine 41100 c 11.99
Halichoerus grypus DE MBAL 14851 3.60 = 14851 10 200 105 i estimate c 0.22 + x i N Y U1 = good unk poor U1 U1 + U1 + noChange noChange 5400 a 1.57
Halichoerus grypus PT MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A d 0
Halichoerus grypus LT MBAL N/A 0 N N/ N/A N/A N/A d 0 x x N N XX x unk unk unk XX XX N/A N/A noChange noChange N/A N/A 0
Halichoerus grypus ES MATL 220 0 + x 112 N/A N/A i minimum c 0 + x Unk XX x good good unk FV FV + N/A N/A genuine genuine 2600 N/A 0
Halichoerus grypus LV MBAL 28987 7.03 = N/A N/A 3000 i estimate a 6.29 + 1500 i Y FV = good good good FV FV + FV noChange noChange N/A b 0
Halichoerus grypus PT MMAC N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A d 0
Halichoerus grypus SE MBAL 147800 35.85 = 147800 21300 22796 22048 i mean a 46.25 + 10000 i Y FV = good good unk FV FV + U1 + noChange noChange 132100 c 38.52
Halichoerus grypus IE MATL 264900 22.64 = 264900 7284 9365 N/A i minimum b 5.41 + < Y FV = good good good FV FV + FV noChange noChange 17300 b 2.21
Halichoerus grypus EE MBAL 37900 9.19 = 4900 7400 N/A i interval a 12.90 = Y FV = good good unk FV FV = FV noChange noChange 31100 b 9.07
Halichoerus grypus SE MATL 2100 0.18 = 2100 23 45 34 i estimate b 0.02 u 12 i Y FV = good good good FV FV = FV noChange noChange 1500 c 0.19
Halichoerus grypus UK MATL 625484 53.46 = 625484 118500 155200 138700 i interval a 90.09 + 73100 i Y FV = good good good FV FV + FV noChange noChange 515900 a 65.87
Halichoerus grypus PL MBAL 42100 10.21 = 1 232 N/A i estimate a 0.24 + > N Y U2 u good bad bad U2 U2 = U2 + noChange genuine 33500 a 9.77
Halichoerus grypus NL MATL 72800 6.22 = 2731 5534 N/A i estimate a 2.68 + Y FV = good good unk FV FV + U1 + genuine noChange 70400 b 8.99
Halichoerus grypus BE MATL 3451 0.29 = 3451 10 100 N/A i estimate c 0.04 + x N N XX = good good good FV FV + U1 x genuine genuine 3800 b 0.49
Halichoerus grypus DE MATL 41054 3.51 = 41054 1179 1179 1179 i minimum a 0.77 + i Y FV = good good good FV FV + FV noChange noChange 6900 a 0.88
Halichoerus grypus FR MATL 83700 7.15 = N/A N/A 1025 i minimum a 0.67 + Y Unk XX x good good unk FV FV = FV noChange noChange 78700 b 10.05
Herpestes ichneumon PT ATL 4200 100 + N/A N/A N/A d 0 + Y FV = good good good FV FV = FV noChange genuine 1200 b 100
Herpestes ichneumon ES MED 129800 60.43 + 50000 100000 N/A i estimate b 100 + 761 grids1x1 Y FV + good good good FV FV + FV genuine genuine 77600 a 51.09
Herpestes ichneumon PT MED 85000 39.57 + N/A N/A N/A d 0 + Y FV = good good good FV FV = FV noChange noChange 74300 b 48.91
Hyperoodon ampullatus NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Hyperoodon ampullatus FR MATL 107600 0 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 107600 c 0
Hyperoodon ampullatus UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange 15800 d 0
Hyperoodon ampullatus ES MATL N/A 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A d 0
Hyperoodon ampullatus ES MMAC N/A 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A d 0
Hyperoodon ampullatus IE MATL 585000 100 = 585000 1372 12683 N/A i estimate c 100 x x Y FV = good unk good XX XX XX noChange noChange 10000 b 100
Hyperoodon ampullatus PT MMAC 984900 100 = x N/A N/A 127 i minimum d 100 x x Unk XX x unk unk unk XX XX XX N/A N/A 28900 d 100
Hyperoodon ampullatus ES MMED N/A 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A d 0
Hypsugo savii CZ CON 1100 0 + x 3 9 N/A grids1x1 estimate a 0 + x Y FV = unk unk good XX XX XX noChange noChange 500 a 0
Hypsugo savii HR CON 2600 1.19 x >> N/A N/A 12 grids1x1 minimum b 0.03 x >> N Unk XX x unk unk poor XX U2 x N/A N/A 2500 b 3.58
Hypsugo savii PT ATL 1400 9.15 = 2100 N/A N/A 1 grids1x1 minimum b 0.02 x x Unk XX x good unk unk XX XX XX noChange knowledge 300 b 6.67
Hypsugo savii FR ATL 3100 20.26 + 3000 4000 N/A grids1x1 mean d 76.73 = Unk Y FV = good good poor U1 U1 + XX knowledge noChange 2600 b 57.78
Hypsugo savii FR CON 13000 5.95 + 2000 3000 N/A grids1x1 mean d 6.52 + Y Y FV = good good poor U1 U1 + FV knowledge noChange 8900 b 12.75
Hypsugo savii PT MED 23000 5.17 u 23000 N/A N/A 212 grids1x1 minimum b 0.10 x x Unk XX x unk unk unk XX XX U1 x knowledge noChange 9500 b 3.33
Hypsugo savii FR MED 39800 8.94 = 19000 20000 N/A grids1x1 mean d 9.52 x Y Y FV = good unk poor U1 U1 = FV knowledge knowledge 28300 b 9.92
Hypsugo savii DE CON 3290 1.50 + x 14 14 14 grids1x1 estimate b 0.04 + x grids1x1 Y XX x unk unk unk XX XX = N/A N/A knowledge knowledge 1000 b 1.43
Hypsugo savii ES MAC 5700 100 = N/A N/A 414 grids1x1 estimate b 100 = 414 grids1x1 Y U1 = good good poor FV U1 = U1 + method method 4600 a 100
Hypsugo savii ES ATL 10800 70.59 = 10800 21 2100 N/A grids1x1 estimate b 23.25 = 2100 grids1x1 Y U1 = good good poor FV U1 = U1 x knowledge knowledge 1600 a 35.56
Hypsugo savii HU PAN 49644 100 + N/A N/A 65 grids1x1 minimum c 100 + Y FV = good good good FV FV + FV noChange method 5000 c 100
Hypsugo savii BG CON 79800 36.50 - 79800 N/A N/A 190 grids1x1 minimum b 0.50 u 190 grids1x1 Y FV = poor poor poor U1 U1 x FV method method 10200 b 14.61
Hypsugo savii ES ALP 7600 6.54 = 53 5300 N/A grids1x1 estimate b 9.56 = 5300 grids1x1 Y U1 = good good good FV U1 = U1 = knowledge knowledge 3800 a 9.90
Hypsugo savii BG BLS 5400 100 - 5400 N/A N/A 3 grids1x1 minimum b 100 u 3 grids1x1 Unk XX x unk unk unk XX XX x FV method method 300 b 100
Hypsugo savii RO CON 10100 4.62 = 500 1500 N/A grids1x1 minimum b 2.61 = Y FV = good good good FV FV = XX knowledge knowledge 4600 b 6.59
Hypsugo savii RO STE 1100 100 = 250 500 N/A grids1x1 minimum b 100 = Y FV = good good good FV FV = XX knowledge knowledge 700 b 100
Hypsugo savii BG ALP 21700 18.67 = 21700 N/A N/A 43 grids1x1 minimum b 0.15 = 43 grids1x1 Y FV = poor poor poor U1 U1 = FV method method 2100 b 5.47
Hypsugo savii CZ PAN 1700 0 + x 5 76 N/A grids1x1 estimate a 0 + x Y FV = unk unk good XX XX XX noChange noChange 700 a 0
Hypsugo savii HR MED 11300 2.54 x >> N/A N/A 54 grids1x1 minimum c 0.03 x >> N Unk XX x unk unk poor XX U2 x N/A N/A 11200 b 3.93
Hypsugo savii FR ALP 16000 13.76 = 9000 12000 N/A grids1x1 mean d 37.51 = Unk Y FV = good unk good FV FV = FV noChange noChange 10100 b 26.30
Hypsugo savii AT CON 2900 1.33 + > 154 N/A N/A grids1x1 minimum b 0.40 + > Y FV = good good good FV U1 + U1 + noChange noChange 2600 b 3.72
Hypsugo savii AT ALP 3000 2.58 + > 50 N/A N/A grids1x1 minimum b 0.18 + > Y FV = good good good FV U1 + U1 + noChange noChange 2300 b 5.99
Hypsugo savii CY MED 9689 2.18 x 31 1000 31 grids1x1 estimate b 0.02 x Y FV = good good good FV FV x FV noChange noChange 11100 b 3.89
Hypsugo savii ES MED 99500 22.34 = 240 24000 N/A grids1x1 estimate b 5.92 = 24000 grids1x1 Y U1 = good good poor FV U1 + U1 x knowledge knowledge 24300 a 8.52
Hypsugo savii GR MED 129331 29.04 = N/A N/A 132826 grids1x1 estimate b 64.85 = Y FV = good good good FV FV = FV noChange noChange 159300 b 55.86
Hypsugo savii IT ALP 59000 50.75 = 1400 28000 N/A grids1x1 estimate c 52.52 = Y FV = good good good FV FV = FV noChange noChange 18100 b 47.14
Hypsugo savii IT CON 94300 43.14 = 3280 65600 N/A grids1x1 estimate c 89.79 = Y FV = good good good FV FV = FV noChange noChange 37200 b 53.30
Hypsugo savii IT MED 132600 29.78 = 5000 75000 N/A grids1x1 estimate c 19.53 = Y FV = good good good FV FV = FV noChange noChange 40600 b 14.24
Hypsugo savii SI CON 12616 5.77 = 12616 46 47 N/A grids1x1 estimate c 0.12 u > Y XX x good poor unk XX U1 x XX knowledge noChange 2800 b 4.01
Hypsugo savii SI ALP 7656 6.59 = 7656 15 16 N/A grids1x1 estimate c 0.06 u > Y XX x good poor unk XX U1 x XX knowledge noChange 1400 b 3.65
Hypsugo savii SK PAN 5078.90 0 + > 555 555 N/A grids1x1 estimate a 0 + > Y FV + good good good FV FV = XX knowledge knowledge 7500 b 0
Hypsugo savii MT MED 71 0.02 = N/A N/A 71 grids1x1 estimate b 0.03 = N Y FV = good good good FV FV = XX knowledge knowledge 900 b 0.32
Hypsugo savii HR ALP 1300 1.12 x >> N/A N/A 5 grids1x1 minimum c 0.02 x x Unk XX x unk unk unk XX U2 x N/A N/A 600 b 1.56
Hystrix cristata IT ALP 9000 0 + N/A N/A 9 grids1x1 estimate b 0 + Unk XX x good good unk FV FV = N/A N/A genuine genuine 3900 b 0
Hystrix cristata IT CON 62100 100 + N/A N/A 256 grids1x1 estimate b 100 + Y FV + good good good FV FV + FV noChange noChange 42200 b 100
Hystrix cristata IT MED 114400 100 + N/A N/A 699 grids1x1 estimate b 100 + Y FV + good good good FV FV + FV noChange noChange 88600 b 100
Kogia breviceps PT MATL N/A 0 N N/ N/A N/A N/A N/A 0 x x N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A d 0
Kogia breviceps UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange 6400 d 0
Kogia breviceps ES MATL N/A 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A d 0
Kogia breviceps PT MMAC 1450200 100 = x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX XX N/A N/A N/A d 0
Kogia breviceps FR MATL 108700 100 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 108700 c 100
Kogia breviceps NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Kogia breviceps IE MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A XX XX noChange N/A N/A N/A 0
Kogia breviceps ES MMAC N/A 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A d 0
Kogia simus ES MATL 3714.65 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A c 0
Kogia simus ES MMAC N/A 0 x x 2 N/A N/A i minimum c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 6000 c 0
Lagenodelphis hosei ES MMAC N/A 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A c 0
Lagenodelphis hosei UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange N/A d 0
Lagenorhynchus acutus NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Lagenorhynchus acutus IE MATL 585000 41.30 = 585000 1092 3382 N/A i interval a 7.20 u x Y FV = good unk good FV FV = FV noChange noChange 30000 b 27.17
Lagenorhynchus acutus FR MATL 500 0 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 500 c 0
Lagenorhynchus acutus UK MATL 831438 58.70 = 831438 7590 109556 28836 i interval a 92.80 x x Unk XX x good unk unk XX XX x FV method noChange 80400 d 72.83
Lagenorhynchus albirostris NL MATL 65600 6.29 = 30 150 N/A i estimate c 0.12 x Y XX x unk unk unk XX XX N/A N/A noInfo noInfo 63300 b 18.43
Lagenorhynchus albirostris DE MATL 299 0 x x 1 5 N/A i minimum d 0 x x grids5x5 Unk XX x unk unk unk XX XX x XX noChange noChange 300 b 0
Lagenorhynchus albirostris BE MATL 5000 0 x N/ N/A 30 N/A i estimate c 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 4000 b 0
Lagenorhynchus albirostris DK MATL 37000 3.55 u 19000 62000 36000 i interval a 48.38 x Unk Unk XX x good good unk FV FV = FV N/A N/A N/A c 0
Lagenorhynchus albirostris IE MATL 455000 43.63 = 455000 4128 12178 N/A i interval a 10.96 u Y FV = good good good FV FV = FV noChange noChange 44600 b 12.98
Lagenorhynchus albirostris UK MATL 475634 45.61 = 475634 17346 52483 30172 i interval a 40.55 x x Unk XX x good unk unk XX XX x FV method noChange 227100 b 66.11
Lagenorhynchus albirostris FR MATL 9600 0.92 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 8500 b 2.47
Lepus timidus EE BOR 53800 6.03 + 10000 50000 N/A i estimate b 2.63 = 10000 i Y FV = good good good FV FV + FV noChange noChange 52800 a 8.86
Lepus timidus IT MED 800 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 400 b 0
Lepus timidus IT CON 3500 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 1400 b 0
Lepus timidus IT ALP 45700 22.23 = N/A N/A 20381 i estimate b 11.40 - > Y FV = good poor good U1 U1 - U1 = noChange genuine 41800 b 24.01
Lepus timidus IE ATL 81400 50.63 = 81400 338000 999000 N/A i interval a 62.48 = 233000 i Y XX u good good unk FV FV = FV noChange noChange 68300 b 53.32
Lepus timidus DE ALP 4142 2.01 = N/A N/A N/A i estimate b 0 = x grids10x10 Y FV = good unk good FV FV = FV noChange noChange 6900 b 3.96
Lepus timidus FR ALP 18748 9.12 = > N/A N/A N/A minimum c 0 x x Y Unk XX x poor poor unk U1 U1 x U1 x noChange noChange 20300 a 11.66
Lepus timidus FR CON 184 0 = N/A N/A N/A minimum c 0 x < N Unk XX x poor poor poor XX XX x N/A N/A noChange noChange 700 a 0
Lepus timidus FR MED 2062 0 = N/A N/A N/A minimum c 0 x < N Unk XX x poor poor poor XX XX x N/A N/A noChange noChange 1900 a 0
Lepus timidus PL CON 2500 20.66 x > 50 100 N/A i estimate c 13.04 - >> N N U2 - bad bad bad U2 U2 - U1 - knowledge knowledge 1900 c 26.76
Lepus timidus UK ATL 79384 49.37 = 73058 93600 709300 N/A i interval b 37.52 - 393700 i Y FV = good poor good U1 U1 - FV genuine knowledge 59800 b 46.68
Lepus timidus SE ALP 99900 48.59 = 99900 100000 300000 150000 i estimate c 83.91 u 150000 i Y FV = good good good FV FV = FV noChange noChange 87000 b 49.97
Lepus timidus SE BOR 383500 43.01 - 383500 250000 650000 450000 i estimate c 39.38 - 750000 i Y U1 - bad bad bad U2 U2 - U2 = noChange knowledge 365800 b 61.40
Lepus timidus SE CON 9600 79.34 - 9600 300 700 500 i estimate c 86.96 - 2100 i N N U2 - bad bad bad U2 U2 - U2 - noChange noChange 5200 b 73.24
Lepus timidus LT BOR 64700 7.26 - 2000 3000 N/A i minimum b 0.22 - >> N Unk U1 - poor bad poor U2 U2 - U1 = genuine genuine 68500 c 11.50
Lepus timidus FI BOR 325000 36.45 = 500000 800000 N/A i estimate b 56.88 = Y FV u good good good FV FV = U1 - genuine method 105500 a 17.71
Lepus timidus FI ALP 4900 2.38 x 2700 14000 N/A i estimate b 4.67 x Y FV = good good good FV FV x FV noChange method 600 a 0.34
Lepus timidus AT ALP 28700 13.96 x N/A N/A N/A i estimate c 0 x x Y FV x good good good FV FV = FV noChange noChange 15800 b 9.08
Lepus timidus SI ALP 3515 1.71 = N/A N/A 25 i minimum c 0.01 = Y FV = good good good FV FV = FV noChange noChange 1700 c 0.98
Lepus timidus LV BOR 64589 7.24 = 64589 9712 10917 N/A i estimate b 0.90 - 14000 i Unk XX x good unk unk XX U1 x FV genuine genuine 3200 d 0.54
Lutra lutra SE CON 17600 1.91 + 26000 N/A N/A 94 grids1x1 estimate c 0.13 + 200 i Y FV = good good good FV U2 + U2 + noChange genuine 6100 b 1.04
Lutra lutra SI CON 11439 1.24 = 165 166 N/A grids1x1 minimum c 0.23 = > Y U1 x good good poor U1 U1 = U1 + noChange knowledge 4800 c 0.82
Lutra lutra HU PAN 81555 74.12 = N/A N/A 1725 grids1x1 minimum b 80.77 = Y FV = good good good FV FV = FV noChange method 71100 b 79.89
Lutra lutra BG ALP 25800 10.02 = 25800 N/A N/A 110 grids1x1 minimum b 0.56 = 110 grids1x1 Y FV = good good good FV FV = FV noChange method 16400 b 11.82
Lutra lutra BG BLS 9700 75.19 = 9700 N/A N/A 92 grids1x1 minimum b 99.82 = 92 grids1x1 Y FV = good good good FV FV = FV noChange method 7700 b 77
Lutra lutra SE ALP 52500 20.38 + 50000 N/A N/A 140 grids1x1 estimate b 0.71 + 250 i Y FV = good good good FV U1 + U1 + noChange genuine 9600 b 6.92
Lutra lutra PL CON 280400 30.47 = N/A N/A 49912 grids1x1 estimate c 67.99 = Y FV = good good good FV FV = FV noChange noChange 114300 b 19.58
Lutra lutra RO CON 107100 11.64 = 0.14 0.19 N/A grids1x1 mean b 0 = 0.10 grids1x1 Y FV = good good good FV FV = FV knowledge knowledge 65100 b 11.15
Lutra lutra PL ALP 14100 5.47 = N/A N/A 4663 grids1x1 estimate c 23.75 = Y FV = good good good FV FV = FV noChange noChange 7500 b 5.40
Lutra lutra LU CON N/A 0 = >> N/A N/A N/A grids1x1 estimate c 0 = >> N Unk U2 = poor poor poor U1 U2 = U2 = noChange noChange N/A d 0
Lutra lutra BE CON 1200 0.13 + >> 4 9 N/A grids1x1 estimate b 0.01 = >> Y U1 + poor poor good U1 U2 + U2 - noChange noChange 300 b 0.05
Lutra lutra UK ATL 239701 37.87 = 239701 N/A N/A 21441 grids1x1 minimum b 31.86 = 11995 i Y FV = good good good FV FV = FV noChange genuine 228500 b 45.10
Lutra lutra CZ CON 85100 9.25 + N/A 3472 N/A grids1x1 estimate a 2.36 + Y FV = good good good FV FV + FV noChange noChange 74800 a 12.81
Lutra lutra SI ALP 6785 2.63 = 21 22 N/A grids1x1 minimum c 0.11 x > Y U1 x good unk poor U1 U1 x U1 x noChange noChange 1200 c 0.86
Lutra lutra GR MED 94479 14.81 + N/A N/A 69695 grids1x1 estimate b 32.99 = 1500 grids5x5 Y FV + good good good FV FV = FV noChange noChange 74900 a 16.47
Lutra lutra LV BOR 64589 8.08 = 64589 N/A N/A 2207 grids1x1 estimate b 2.63 = Y FV = good good good FV FV = FV noChange noChange 65400 a 16.90
Lutra lutra BE ATL 1900 0 + >> N/A N/A 7 grids1x1 estimate b 0 + >> N Y U1 = poor poor poor U1 U2 + U2 + noChange noChange 500 b 0
Lutra lutra PT ATL 5000 0.79 = N/A N/A N/A d 0 x x Y FV = good unk good FV FV = FV noChange noChange 2400 d 0.47
Lutra lutra BG CON 99600 10.82 = 99600 N/A N/A 446 grids1x1 minimum b 0.61 = 446 grids1x1 Y FV = good good good FV FV = FV noChange method 79700 b 13.65
Lutra lutra CZ PAN 5800 5.27 = N/A 129 N/A grids1x1 estimate a 3.02 + Y FV = good good good FV FV + FV noChange noChange 3200 a 3.60
Lutra lutra EE BOR 40900 5.12 = N/A N/A 281 grids1x1 estimate a 0.33 = Y FV = good good good FV FV = FV noChange noChange 20400 a 5.27
Lutra lutra IE ATL 83600 13.21 = 83600 N/A N/A 2511 grids1x1 estimate b 3.73 + 7046 bfemales Y FV = good good good FV FV + FV noChange noChange 70000 b 13.82
Lutra lutra RO ALP 36100 14.02 = 0.14 0.19 N/A grids1x1 mean b 0 = 0.10 grids1x1 Y FV = good good good FV FV = FV knowledge knowledge 19100 b 13.76
Lutra lutra LT BOR 64700 8.09 = N/A N/A 1670 grids1x1 estimate b 1.99 = Y FV = good good good FV FV = FV noChange noChange 67100 b 17.34
Lutra lutra IT MED 33300 5.22 + 4694 7234 N/A grids1x1 estimate b 2.82 + Y FV = good good good FV FV + FV noChange genuine 32900 b 7.24
Lutra lutra RO BLS 3200 24.81 = 0.14 0.19 N/A grids1x1 mean b 0.18 = 0.10 grids1x1 Y FV = good good good FV FV = FV knowledge knowledge 2300 b 23
Lutra lutra IT CON 1900 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 1500 b 0
Lutra lutra FR MED 41600 6.52 + >> 500 1500 N/A grids1x1 estimate b 0.47 + >> Y Unk U1 - good good poor U1 U2 = U2 + N/A noChange 30600 a 6.73
Lutra lutra FR CON 83100 9.03 + 1000 5000 N/A grids1x1 mean b 4.09 + > Y Unk FV u good good unk FV U1 = U1 + noChange noChange 68000 a 11.65
Lutra lutra FR ATL 175625 27.74 + 5000 15000 N/A grids1x1 estimate b 14.86 + Y FV = good good unk FV FV + FV noChange noChange 103700 a 20.47
Lutra lutra FR ALP 15400 5.98 + > 100 200 N/A grids1x1 mean a 0.76 + > N Y U1 = good good unk U1 U1 + U2 + genuine noChange 9700 a 6.99
Lutra lutra IT ALP 1100 0 + >> 100 114 N/A grids1x1 minimum b 0 + >> N Y FV = good good good FV U2 + U1 + noChange genuine 700 b 0
Lutra lutra SK ALP 24976.59 9.70 + > 1816 1816 N/A grids1x1 estimate b 9.25 + Y FV = good good good FV U1 + U1 + N/A N/A 22700 b 16.35
Lutra lutra SK PAN 7572.70 6.88 + > 346 346 N/A grids1x1 estimate b 16.20 + Y FV x good good good FV U1 = U1 = N/A N/A 6800 b 7.64
Lutra lutra HR MED 4900 0.77 x >> N/A N/A 31 grids1x1 minimum c 0.01 x x N Unk U1 x bad unk poor U2 U2 x N/A N/A N/A a 0
Lutra lutra HR CON 35600 3.87 x N/A N/A 793 grids1x1 minimum c 1.08 x x N Unk U1 x poor unk poor XX U1 x N/A N/A N/A a 0
Lutra lutra DK CON 19587 2.13 + > N/A N/A N/A d 0 + > Y U1 = good unk poor U1 U1 + U2 x N/A N/A 16400 b 2.81
Lutra lutra DK ATL 13448 2.12 = N/A N/A N/A d 0 u Y FV = good good good FV FV x FV N/A N/A 13500 b 2.66
Lutra lutra HR ALP 7300 2.83 x > N/A N/A 56 grids1x1 minimum c 0.29 x x Unk XX x poor unk unk XX U1 x N/A N/A N/A a 0
Lutra lutra NL ATL 13900 0 + > N/A N/A 1684 grids1x1 estimate a 0 + > N Y U1 = good good good FV U1 + U2 + genuine noChange 12400 a 0
Lutra lutra RO STE 18200 100 = 0.14 0.19 N/A grids1x1 mean b 100 = 0.10 grids1x1 Y FV = good good good FV FV = FV knowledge knowledge 13000 b 100
Lutra lutra PT MED 55100 8.64 = N/A N/A N/A d 0 x x Y FV = good unk good FV FV = FV noChange N/A 43500 d 9.57
Lutra lutra ES ATL 67700 10.69 + 605 60500 N/A grids1x1 estimate b 45.40 + 605 grids1x1 Y FV = good poor good FV FV + FV genuine genuine 53900 a 10.64
Lutra lutra ES MED 408600 64.05 + 2665 266500 N/A grids1x1 estimate b 63.70 + 2665 grids1x1 Y FV = good good good FV FV + FV genuine genuine 272800 a 60
Lutra lutra ES ALP 16600 6.45 + 119 11900 N/A grids1x1 estimate b 30.60 + 119 grids1x1 Y FV = poor good good FV FV = FV genuine genuine 8000 a 5.76
Lutra lutra DE ALP 1189 0.46 + > 65 65 65 grids1x1 estimate b 0.33 + > grids5x5 Y FV = poor poor good U1 U1 + XX knowledge noChange 1000 a 0.72
Lutra lutra DE ATL 47946 7.57 + > 2798 2798 2798 grids1x1 minimum a 4.16 + > grids5x5 Y FV + poor poor good U1 U1 + U1 + noChange noChange 34600 a 6.83
Lutra lutra DE CON 143486 15.59 + > 15903 15903 15903 grids1x1 estimate a 21.66 + > grids5x5 Y FV + poor unk poor U1 U1 + U1 + noChange noChange 124000 a 21.24
Lutra lutra RO PAN 15100 13.72 = 0.14 0.19 N/A grids1x1 mean b 0.01 = 0.10 grids1x1 Y FV = good good good FV FV = FV knowledge knowledge 7900 b 8.88
Lutra lutra SE BOR 285500 35.71 + 361968 N/A N/A 1229 grids1x1 estimate c 1.46 + 5200 i Y FV = good good good FV U2 + U2 + noChange genuine 83100 b 21.47
Lutra lutra FI BOR 343700 43 = 7480 149600 N/A grids1x1 estimate b 93.58 = Y FV = good good good FV FV = FV noChange method 151000 a 39.02
Lutra lutra AT ALP 38900 15.10 + > 1555 N/A N/A grids1x1 minimum b 7.92 + Y FV = good unk good FV U1 + U1 + noChange noChange 33900 a 24.42
Lutra lutra FI ALP 17900 6.95 = 100 10000 N/A grids1x1 estimate b 25.72 = Y FV = good good good FV FV = FV method method 9700 a 6.99
Lutra lutra AT CON 36100 3.92 + 1354 N/A N/A grids1x1 minimum b 1.84 + Y FV = good unk good FV FV + FV noChange noChange 30400 a 5.21
Lynx lynx HR CON 1234 0 x > N/A N/A 5 i estimate b 0 x x N Unk U1 x poor poor poor U1 U1 x N/A N/A N/A b 0
Lynx lynx BG BLS 800 0 x 800 N/A N/A N/A i minimum c 0 x Unk XX x unk unk unk XX XX x U1 + method method 300 b 0
Lynx lynx BG ALP 6600 3.10 u 6600 N/A N/A N/A i minimum c 0 x Unk XX x unk unk unk XX XX x U1 + method method 700 b 0.58
Lynx lynx LT BOR 56530 6.58 = N/A N/A 150 i minimum b 2.98 + > Unk U1 = good unk unk XX U1 + U2 = knowledge knowledge 68200 b 11.18
Lynx lynx SE CON 8800 0 N N/ N/A 10 5 i b 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 2900 b 0
Lynx lynx SE BOR 339900 39.54 + 339900 681 1056 903 i mean a 17.95 = 710 i Y FV = good good good FV FV = FV noChange noChange 198400 b 32.52
Lynx lynx SE ALP 81300 38.22 = 81300 159 248 212 i mean a 9.19 = 160 i Y FV = good good good FV FV = FV noChange noChange 32500 b 27.02
Lynx lynx LV BOR 64589 7.51 = 64589 1633 1747 N/A i estimate b 33.60 + 600 i Y FV = good unk good FV FV + FV noChange noChange 24900 a 4.08
Lynx lynx GR MED 2127 100 x x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX XX noChange noChange 2500 c 100
Lynx lynx SI ALP 3270 1.54 - > 9 13 N/A i estimate c 0.48 - >> Y FV = good good good FV U2 - U2 - noChange noChange 2700 b 2.24
Lynx lynx SI CON 1957 1.41 - > 1 2 N/A i estimate c 0.15 - >> Y FV = good good good FV U2 - U2 - noChange noChange 1400 b 1.56
Lynx lynx CZ CON 29600 21.35 + > 65 100 N/A i estimate a 8.30 = > Y FV = poor poor good U1 U1 + U1 = noChange noChange 14700 a 16.33
Lynx lynx FR MED 99 0 = x 95 151 N/A i estimate a 0 = x Unk Unk XX x unk unk unk XX XX = N/A N/A noChange noChange 300 b 0
Lynx lynx FR CON 14568 10.51 + 95 151 N/A i estimate b 12.37 + > Unk Y FV = unk unk good XX U1 + FV noChange noChange 21100 b 23.44
Lynx lynx FR ALP 1200 0.56 = > 13 21 N/A i estimate b 0.74 = > Unk Y FV + unk unk unk XX U1 + U1 x noChange noChange 6500 b 5.40
Lynx lynx IT ALP 200 0.09 - >> N/A N/A 2 i estimate a 0.09 - >> Y FV = bad bad good U2 U2 - U2 - noChange noChange 200 a 0.17
Lynx lynx RO CON 45700 32.96 = 600 700 N/A i estimate a 65.39 = 600 i Y FV = good good good FV FV = FV noChange noChange 31200 a 34.67
Lynx lynx RO ALP 63300 29.76 = 1500 1700 N/A i estimate a 69.35 = 1700 i Y FV = good good good FV FV = FV noChange noChange 47100 a 39.15
Lynx lynx SK ALP 14712.97 6.92 = > 300 400 N/A i estimate b 15.17 = Y U1 = good good good FV U1 = U1 = N/A N/A 15000 b 12.47
Lynx lynx NL ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Lynx lynx DE CON 9538 6.88 + >> 47 69 N/A i estimate a 5.84 + >> bfemales N Y U1 - poor poor poor U1 U2 = U2 x noChange method 6800 a 7.56
Lynx lynx HU PAN 3255 100 = > 10 25 N/A i estimate c 100 = >> Y U1 = poor bad poor U2 U2 = U2 x noChange knowledge 2500 a 100
Lynx lynx SK PAN 326.98 0 x > 2 10 N/A i estimate b 0 x > Y U1 x poor poor poor U1 U1 = U1 = N/A N/A 400 b 0
Lynx lynx HR ALP 8327 3.91 = N/A N/A 40 i minimum b 1.73 u >> N Unk U1 u good poor poor U1 U2 x N/A N/A N/A b 0
Lynx lynx BG CON 13900 10.02 u 13900 N/A N/A N/A i minimum c 0 x Unk XX x unk unk unk XX XX x U1 + method method 1600 b 1.78
Lynx lynx HR MED 2388 0 x x N/A N/A 10 i estimate c 0 x x N Unk U1 x poor poor poor U1 U1 x N/A N/A N/A b 0
Lynx lynx EE BOR 52600 6.12 + 300 420 N/A i mean a 7.16 - > Y FV = good good good FV U2 = FV genuine noChange 53100 a 8.70
Lynx lynx AT CON 3500 2.52 = > 5 19 N/A i minimum b 1.21 = > N Y FV = poor poor poor U1 U1 = U1 x noChange knowledge 2000 b 2.22
Lynx lynx AT ALP 4700 2.21 + >> 12 16 N/A i minimum b 0.61 x > N Y FV x bad poor poor U2 U2 x U2 x noChange noChange 3600 b 2.99
Lynx lynx PL ALP 12700 5.97 = N/A N/A 56 i minimum b 2.43 = > Y FV = good poor poor U1 U1 = U1 - noChange noChange 7500 a 6.23
Lynx lynx PL CON 19900 14.35 = > N/A N/A 67 i minimum b 6.74 = > N N U1 = poor poor bad U2 U2 = U2 - noChange noChange 11200 a 12.44
Lynx lynx FI BOR 346100 40.26 = 1865 1990 N/A i estimate a 38.32 + Y FV = good good good FV FV + FV N/A N/A 265500 a 43.52
Lynx lynx FI ALP 16400 7.71 = 4 6 N/A i estimate b 0.22 = Y FV = unk unk good XX FV = FV noChange noChange 4500 a 3.74
Lynx pardinus ES MED 15400 92.22 + > 573 576 N/A i estimate a 95.35 + 573 i Y U1 = good good good FV U1 + U2 + genuine genuine 14500 a 92.36
Lynx pardinus PT MED 1300 7.78 + > N/A N/A 28 i interval a 4.65 + > Unk U1 u poor poor unk U1 U2 + N/A N/A genuine genuine 1200 a 7.64
Marmota marmota latirostris PL ALP 600 31.35 = 200 400 N/A i estimate b 22.64 + Y FV = good good good FV FV + FV noChange genuine 200 a 12.50
Marmota marmota latirostris SK ALP 1313.95 68.65 = 850 1200 N/A i estimate b 77.36 = 1300 i Y FV = poor good good FV U1 = U2 = knowledge N/A 1400 b 87.50
Martes martes FR ALP 27200 7.73 = N/A N/A N/A mean b 0 = Y Unk FV = good good good FV FV = FV noChange noChange 26500 b 9.98
Martes martes HU PAN 63197 86.14 = N/A N/A 14180 i estimate c 65.50 u Y U1 = good unk poor U1 U1 = XX noChange noChange 15800 c 72.15
Martes martes IE ATL 68500 13.73 + 38200 2330 3852 3043 i interval a 15.89 + 3043 i Y FV + good good good FV FV + FV noChange noChange 51600 a 14.64
Martes martes AT ALP 57100 16.22 = 10000 42000 N/A i minimum c 33.75 x Y FV x good good good FV FV x FV noChange noChange 50500 b 19.03
Martes martes AT CON 38100 3.60 = 4000 18000 N/A i minimum b 13.05 x Y FV x good good good FV FV x FV noChange noChange 32500 b 4.34
Martes martes UK ATL 97496 19.55 + 65998 2123 9620 N/A i interval b 30.66 + Y FV = good good good FV FV + FV noChange noChange 58900 b 16.71
Martes martes BE CON 15300 1.45 + 2000 4000 N/A i estimate b 3.56 + Y U1 = good good good FV U1 + U1 + noChange knowledge 11500 b 1.54
Martes martes BE ATL 18000 3.61 + 145 305 N/A i estimate b 1.17 + > N Y U1 = good poor poor U1 U1 + U2 + genuine genuine 4900 b 1.39
Martes martes SK PAN 1568.05 2.14 = > 2000 8000 N/A i estimate c 23.10 = > Y U1 = good poor poor U1 U1 = U1 = N/A N/A 1300 c 5.94
Martes martes SK ALP 10011.10 2.84 = 10000 50000 N/A i estimate c 38.95 = Y FV x good good good FV U1 = U1 = N/A N/A 6400 c 2.41
Martes martes SI CON 12215 1.15 = 500 N/A N/A i minimum c 0.59 + Y FV = good good good FV FV + XX genuine genuine 4000 c 0.53
Martes martes SI ALP 7656 2.17 = 7656 N/A N/A 500 i minimum c 0.65 + Y FV = good good good FV FV + XX genuine genuine 2100 c 0.79
Martes martes BG ALP 22300 6.33 = 22300 690 1620 N/A i minimum b 1.50 = 1620 i Unk FV x unk unk unk XX FV = XX knowledge knowledge 12600 b 4.75
Martes martes BG BLS 2900 100 x 2900 N/A N/A N/A i minimum c 0 x x Unk XX x unk unk unk XX XX x XX noChange noChange 2100 b 100
Martes martes BG CON 25500 2.41 = 25500 290 680 N/A i minimum b 0.58 = 680 i Unk XX x unk unk unk XX XX = XX knowledge knowledge 7800 b 1.04
Martes martes SE CON 24700 2.33 = 24700 1200 1600 1400 i estimate b 1.66 = 1400 i Y FV = good good good FV FV = FV noChange noChange 21500 b 2.87
Martes martes SE ALP 96600 27.44 = 96600 3000 5000 4000 i estimate b 5.19 = 4000 i Y FV = good good good FV FV = FV noChange noChange 86800 b 32.71
Martes martes SE BOR 379700 43.38 = 379700 15000 35000 25000 i estimate b 23.36 = 25000 i Y FV = good good good FV FV = FV noChange noChange 363600 b 62.73
Martes martes CZ CON 85800 8.11 = 35000 45000 N/A i estimate c 47.45 x x Y FV = good unk good FV FV = FV noChange noChange 77700 a 10.39
Martes martes CZ PAN 5900 8.04 = 1500 2500 N/A i estimate c 9.24 x x Y FV = good unk good FV FV = FV noChange noChange 3300 a 15.07
Martes martes RO STE 2900 100 x x 159 177 N/A i minimum a 100 x 177 i Y FV x good good good FV FV + FV N/A N/A 2500 a 100
Martes martes RO PAN 2700 3.68 x x 443 493 N/A i minimum a 2.16 x 493 i Y FV x good good good FV FV + FV N/A N/A 1500 a 6.85
Martes martes RO ALP 47300 13.43 x x 6317 7019 N/A i minimum a 8.66 x x Y FV x good good good FV FV + FV N/A N/A 39200 a 14.77
Martes martes DE ALP 4155 1.18 = 4155 N/A N/A N/A i estimate b 0 = 40 grids10x10 Y FV = good good good FV FV = FV noChange noChange 4600 d 1.73
Martes martes DE ATL 70501 14.13 = 70501 N/A N/A N/A i estimate b 0 = grids10x10 Y FV = unk good good FV FV = FV noChange noChange 13200 d 3.75
Martes martes DE CON 283617 26.80 = 283617 N/A N/A N/A i estimate c 0 = grids10x10 Y FV = good unk good FV FV = FV noChange noChange 178500 d 23.86
Martes martes RO CON 55300 5.23 x x 6773 7526 N/A i minimum a 8.48 x 7526 i Y FV x good good good FV FV + FV N/A N/A 46400 a 6.20
Martes martes DK ATL N/A 0 = N/A N/A N/A d 0 u x Unk Unk XX u good unk unk XX XX FV N/A N/A N/A c 0
Martes martes DK CON N/A 0 = N/A N/A N/A d 0 u x Unk Unk XX u good unk unk XX XX FV N/A N/A N/A c 0
Martes martes EE BOR 54600 6.24 + 10000 50000 N/A i estimate c 28.04 = Y FV = good good good FV FV + FV noChange noChange 56100 a 9.68
Martes martes ES ALP 15200 4.32 = N/A 9200 N/A i estimate b 5.97 x 9200 i Y XX x poor poor poor U1 U1 x FV method method 7100 a 2.68
Martes martes ES ATL 37200 7.46 = 176 17600 N/A i estimate b 46.41 x 17600 i Y XX x poor poor poor U1 U1 x FV method method 17900 a 5.08
Martes martes ES MED 30900 25.97 = N/A 15100 N/A i estimate b 91.96 x 15100 i Y XX x poor poor poor U1 U1 x FV method method 11500 a 17.69
Martes martes PT MED 1600 1.34 x x N/A N/A N/A d 0 x x Unk XX u unk unk unk XX XX XX noChange noChange 700 c 1.08
Martes martes PT ATL 1400 0.28 x x N/A N/A N/A d 0 x x Unk XX u unk unk unk XX XX XX noChange N/A 700 c 0.20
Martes martes FI ALP 2200 0.62 = 300 1000 N/A i estimate b 0.84 = Y FV u good good good FV FV = FV noChange method 500 a 0.19
Martes martes FI BOR 311600 35.60 = 14000 18000 N/A i estimate b 14.95 = Y FV = good good good FV FV = FV noChange method 85800 a 14.80
Martes martes PL CON 308100 29.12 = N/A N/A 16000 i minimum b 18.98 = Y FV = good good good FV FV = FV noChange noChange 185600 b 24.81
Martes martes PL ALP 13400 3.81 = N/A N/A 2000 i minimum b 2.60 = Y FV = good good good FV FV = FV noChange noChange 6700 b 2.52
Martes martes NL ATL 24100 4.83 + 750 1500 N/A i estimate c 5.87 + Y FV + good good good FV FV + U2 + genuine noChange 21300 a 6.04
Martes martes FR ATL 181600 36.41 = N/A N/A N/A mean b 0 = < Y Unk FV = good good unk FV FV = FV noChange noChange 183900 b 52.19
Martes martes FR CON 165400 15.63 = N/A N/A N/A mean b 0 = Y Unk FV = good good good FV FV = FV noChange noChange 175000 b 23.39
Martes martes FR MED 11500 9.67 + N/A N/A N/A mean b 0 = Y Unk FV = good good good FV FV + FV noChange noChange 17500 b 26.92
Martes martes LV BOR 64589 7.38 = 21000 24000 N/A i estimate b 21.03 x 20000 i Y FV = good good good FV FV = FV noChange noChange 5700 d 0.98
Martes martes LU CON 4000 0.38 = 4000 425 1575 N/A i estimate b 1.19 = Y U1 - good good poor U1 U1 - U1 = noChange knowledge 3100 b 0.41
Martes martes LT BOR 64700 7.39 = 10000 17000 N/A i minimum b 12.62 = x Y FV = good good good FV FV = FV noChange noChange 68400 c 11.80
Martes martes GR MED 3801 3.19 x x N/A N/A N/A d 0 x x Unk XX = unk unk unk XX XX XX noChange noChange 4200 c 6.46
Martes martes IT MED 70200 59 = 313 939 N/A i estimate b 7.62 = Y FV = good good good FV FV = FV noChange noChange 31100 b 47.85
Martes martes IT CON 16600 1.57 = x 47 141 N/A i minimum c 0.11 x x Y FV = good unk good FV FV = FV noChange noChange 4500 b 0.60
Martes martes IT ALP 42600 12.10 + 227 681 N/A i estimate b 0.59 + Y FV = good good good FV FV + FV noChange noChange 22400 b 8.44
Martes martes HR ALP 6348.92 1.80 = N/A N/A 999 i mean b 1.30 x x Y FV x good unk good FV FV x N/A N/A N/A d 0
Martes martes HR CON 23523.91 2.22 = N/A N/A 3676 i mean b 4.36 x x Y FV x good unk good FV FV x N/A N/A N/A d 0
Martes martes HR MED 978.35 0.82 = N/A N/A 34 i mean c 0.41 x x Unk FV x good unk good FV FV x N/A N/A N/A d 0
Megaptera novaeangliae IE MATL 610000 100 = 610000 25 12000 N/A i estimate c 100 u x Y FV = good unk good XX XX XX noChange noChange 32300 b 100
Megaptera novaeangliae ES MATL 11.93 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 1500 c 0
Megaptera novaeangliae GR MMED N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A d 0
Megaptera novaeangliae FR MMED 100 0 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange 100 c 0
Megaptera novaeangliae NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Megaptera novaeangliae ES MMAC N/A 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A c 0
Megaptera novaeangliae ES MMED 440.61 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 3300 c 0
Megaptera novaeangliae FR MATL 2000 0 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 2000 c 0
Megaptera novaeangliae UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange 128500 d 0
Megaptera novaeangliae UK MMED 87 0 x 87 N/A 2 2 i estimate b 0 x 2 i Y XX x unk unk good XX XX XX noChange noChange 400 d 0
Megaptera novaeangliae PT MMAC 984900 100 = x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX U1 x N/A N/A 4500 c 100
Megaptera novaeangliae PT MATL N/A 0 N N/ N/A N/A N/A N/A 0 x x N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A c 0
Megaptera novaeangliae IT MMED 800 0 x x N/A N/A N/A d 0 x x N/A N N/A N/A N/A N/A N/A N/A XX N/A N/A 600 c 0
Mesocricetus newtoni BG BLS 2600 100 = 2600 35 70 N/A i minimum b 100 - 70 i Y FV = poor poor poor U1 U1 - FV method method 600 b 100
Mesocricetus newtoni RO STE 700 100 = x 3000 3600 N/A i minimum b 100 - 3600 i Y U1 - good poor bad U2 U2 - U1 x N/A N/A 700 b 100
Mesocricetus newtoni BG CON 18600 100 = 18600 578 1158 N/A i minimum b 100 - 1158 i Y FV = poor poor poor U1 U1 - FV method method 4300 b 100
Mesoplodon bidens NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Mesoplodon bidens PT MMAC 984900 100 = x N/A N/A 333 i minimum N/A 100 x x Unk XX x unk unk unk XX XX XX N/A N/A 2600 c 100
Mesoplodon bidens UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange 21800 d 0
Mesoplodon bidens FR MATL 178300 31.10 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 178300 c 87.70
Mesoplodon bidens IE MATL 395000 68.90 = 395000 652 7716 N/A i interval b 100 u x Y FV = good unk good FV FV = XX knowledge knowledge 25000 b 12.30
Mesoplodon bidens PT MATL N/A 0 N N/ N/A N/A N/A N/A 0 x x N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A c 0
Mesoplodon densirostris ES MMAC 23027.49 4.72 x x 7 N/A N/A i minimum c 100 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 29200 b 100
Mesoplodon densirostris FR MATL 100 0 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange 100 c 0
Mesoplodon densirostris ES MATL N/A 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A b 0
Mesoplodon densirostris UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange N/A d 0
Mesoplodon densirostris PT MMAC 465300 95.28 = x N/A N/A N/A d 0 N x Unk Unk XX N unk unk unk XX XX XX N/A N/A N/A d 0
Mesoplodon densirostris PT MATL N/A 0 N N/ N/A N/A N/A N/A 0 x x N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A d 0
Mesoplodon europaeus ES MMAC 30532.36 3.01 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 36100 b 96.01
Mesoplodon europaeus UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange N/A d 0
Mesoplodon europaeus IE MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A XX XX noChange N/A N/A N/A 0
Mesoplodon europaeus PT MATL N/A 0 N N/ N/A N/A N/A N/A 0 x x N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A c 0
Mesoplodon europaeus PT MMAC 984900 96.99 = x N/A N/A N/A minimum N/A 0 x x Unk XX x unk unk unk XX XX N/A N/A N/A N/A 1500 c 3.99
Mesoplodon europaeus ES MATL N/A 0 x N/ N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX N/A N/A noInfo noInfo N/A b 0
Mesoplodon europaeus FR MATL N/A 0 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange N/A c 0
Mesoplodon mirus IE MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A XX XX noChange N/A N/A N/A 0
Mesoplodon mirus ES MATL N/A 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A N/A 0
Mesoplodon mirus UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange N/A d 0
Mesoplodon mirus ES MMAC N/A 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A N/A 0
Mesoplodon mirus PT MMAC 984900 100 = x N/A N/A N/A minimum N/A 0 x x Unk XX x unk unk unk XX XX N/A N/A N/A N/A N/A d 0
Microtus cabrerae ES MED 31400 64.48 - > N/A N/A 11856 i minimum a 100 - 13312 i N Y U2 - poor bad poor U2 U2 - U2 - genuine knowledge 28200 a 66.04
Microtus cabrerae PT MED 17300 35.52 u x N/A N/A N/A d 0 x x N Unk U1 - unk unk poor XX U1 x XX knowledge knowledge 14500 a 33.96
Microtus oeconomus arenicola NL ATL 5600 100 = >> N/A N/A 1500000 i mean b 100 - > N N U1 - bad poor poor U2 U2 - U2 + noChange genuine 5300 a 100
Microtus oeconomus mehelyi SK PAN 1440.94 19.51 - > 1000 5000 N/A i estimate b 19.32 - Y U1 - poor poor poor U1 U2 - U2 - N/A N/A 1700 b 43.59
Microtus oeconomus mehelyi HU PAN 5944 80.49 u > 2250 22800 N/A i estimate b 80.68 u > N Y U1 - poor poor poor U1 U1 x U1 - noChange method 2200 b 56.41
Microtus oeconomus mehelyi AT CON 700 100 = > 117 205 N/A i estimate a 100 = > Y FV = poor poor poor U1 U1 = U1 x knowledge knowledge 500 a 100
Microtus tatricus RO ALP 300 11.76 x x 1200 1400 N/A i minimum c 2.50 x 1400 i Y XX x good good good FV XX XX N/A N/A 300 b 14.29
Microtus tatricus PL ALP 900 35.28 x N/A N/A 50000 i estimate b 96.06 u Y FV = good good good FV FV x FV noChange noChange 400 b 19.05
Microtus tatricus SK ALP 1350.82 52.96 - > 500 1000 N/A i estimate b 1.44 x Y U1 - poor poor poor U1 U2 - U2 = N/A N/A 1400 b 66.67
Miniopterus schreibersii RO STE 900 100 = 500 1000 N/A i minimum b 100 = Y FV = poor poor poor FV FV = U1 = knowledge knowledge 400 b 100
Miniopterus schreibersii CY MED 9689 1.58 x 3000 10000 N/A i estimate a 1.29 x Y FV = good good good FV FV x FV noChange noChange 11100 b 3.45
Miniopterus schreibersii FR CON 21000 9.17 = 35000 55000 N/A i mean a 22.79 + < N N U2 - good unk poor U1 U2 x U2 - noChange noChange 7500 b 10.70
Miniopterus schreibersii AT CON 100 0.04 = >> N/A N/A 50 i estimate b 0.03 + >> Y U1 = poor poor unk U1 U2 + U2 = noChange genuine 100 b 0.14
Miniopterus schreibersii GR MED 124285 20.25 x 23000 50000 N/A i estimate b 7.23 x Unk XX x unk poor poor U1 U1 x U1 x noChange noChange 150300 b 46.75
Miniopterus schreibersii PT ATL 900 1.30 x 900 N/A N/A N/A b 0 x x Unk XX x unk unk unk XX XX XX noChange knowledge 200 b 0.80
Miniopterus schreibersii SK ALP 2034.51 2.46 - > 41 1640 N/A i estimate b 1.19 = Y FV x poor good good FV U1 x U2 - knowledge N/A 2200 b 8.70
Miniopterus schreibersii SK PAN 211.82 2.31 = > 33 51 N/A i estimate b 0.56 = Y FV x good good good FV U1 = U2 - knowledge N/A 100 b 4.55
Miniopterus schreibersii HR ALP 11900 14.37 x N/A N/A 2200 i minimum b 3.11 x > Y XX x good unk poor U1 U1 x N/A N/A 9100 b 35.97
Miniopterus schreibersii HR CON 23900 10.43 x > N/A N/A 31000 i minimum b 15.70 x > N Unk U1 x good unk poor U1 U1 x N/A N/A 23500 b 33.52
Miniopterus schreibersii FR MED 56700 9.24 = 40154 66924 N/A i estimate b 10.60 = > Y Y U1 = good unk unk U1 U1 = U2 - genuine noChange 25200 b 7.84
Miniopterus schreibersii HR MED 34600 5.64 x N/A N/A 24000 i minimum c 4.75 x > N Unk U1 x good unk poor U1 U1 x N/A N/A 32400 b 10.08
Miniopterus schreibersii PT MED 35600 5.80 = 35600 30000 N/A 5 i minimum b 0 = 30000 i Unk XX - good good unk FV FV - U1 + knowledge knowledge 12800 b 3.98
Miniopterus schreibersii BG CON 94600 41.30 = 94600 71000 91000 N/A i minimum b 41.02 = 71000 i Y FV = poor poor poor U1 U1 = U1 = noChange method 17000 b 24.25
Miniopterus schreibersii BG ALP 25600 30.92 = 25600 10500 42000 N/A i minimum b 37.11 = 32100 i Y FV = poor poor poor U1 U1 = U1 = noChange method 3500 b 13.83
Miniopterus schreibersii BG BLS 9300 100 = 9300 600 5000 N/A i minimum b 100 = 3500 i Y FV = poor poor poor U1 U1 = FV method method 2100 b 100
Miniopterus schreibersii FR ALP 10000 12.08 - > 11500 15000 N/A i mean b 18.73 - > N Y U1 - poor unk poor U1 U2 - U2 N/A noChange noChange 3400 b 13.44
Miniopterus schreibersii CZ CON 100 0 x x N/A 1 N/A i a 0 x x Y FV = unk unk good XX XX XX noChange noChange 100 a 0
Miniopterus schreibersii FR ATL 33800 48.77 - > 40000 49996 N/A i mean a 78.81 + > N Y U1 = poor unk poor U1 U1 = U2 - genuine noChange 13600 b 54.62
Miniopterus schreibersii HU PAN 8975 97.69 = 6000 9000 N/A i estimate a 99.44 = Y U1 = poor poor good U1 U1 = U1 + noChange method 2100 a 95.45
Miniopterus schreibersii IT ALP 13000 15.70 = 1200 6000 N/A i estimate c 5.09 - > N N U1 = good poor good U1 U1 - U2 - noChange noChange 2400 b 9.49
Miniopterus schreibersii IT CON 51500 22.48 + 11000 55000 N/A i estimate c 16.71 - > N N U1 = good poor poor U1 U1 = U2 - noChange noChange 9500 b 13.55
Miniopterus schreibersii ES MED 219300 35.72 u 305540 N/A N/A i minimum b 60.52 + > Y U1 = good poor poor FV U1 = U1 x noChange knowledge 62000 a 19.28
Miniopterus schreibersii ES ATL 34600 49.93 = 12100 N/A N/A i minimum b 21.19 = 115 grids10x10 Y U1 u poor poor poor U1 U1 = U1 x noChange noChange 11100 a 44.58
Miniopterus schreibersii ES ALP 2100 2.54 = 8052 N/A N/A i minimum b 11.38 x 6 grids10x10 Y FV x poor poor poor U1 U1 x U1 x noChange noChange 500 a 1.98
Miniopterus schreibersii IT MED 133700 21.78 = 26000 130000 N/A i estimate c 15.45 - > N N U1 = good poor poor U1 U1 - U2 - noChange noChange 27500 b 8.55
Miniopterus schreibersii SI ALP 6858 8.28 = N/A N/A 1510 i minimum a 2.13 + Y FV = good good good FV FV + XX knowledge knowledge 1000 b 3.95
Miniopterus schreibersii SI CON 11943 5.21 = N/A N/A 3438 i minimum a 1.74 = Y U1 u good good poor U1 U1 = U1 x noChange knowledge 2100 b 3
Miniopterus schreibersii RO ALP 11200 13.53 = 10000 20000 N/A i minimum b 21.21 = Y FV = good good good FV FV = U1 = knowledge knowledge 3100 b 12.25
Miniopterus schreibersii RO CON 26000 11.35 = 3000 5000 N/A i minimum b 2.03 = Y FV = good good good FV FV = U1 = knowledge knowledge 10400 b 14.84
Miniopterus schreibersii AT ALP 100 0.12 = >> 25 N/A N/A i minimum b 0.04 = >> Unk Unk XX - bad poor poor U2 U2 - U2 - noChange noChange 100 b 0.40
Miniopterus schreibersii UK MED 5 0 = 5 400 800 800 i estimate a 0.16 = x Y FV = unk unk good XX XX U1 = knowledge noChange 200 c 0.06
Monachus monachus ES MMED N/A 0 x x N/A N/A N/A i estimate a 0 = x Unk XX x unk unk unk XX XX U2 = noInfo noInfo N/A d 0
Monachus monachus HR MMED N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Monachus monachus IT MMED 1900 0.52 x >> N/A N/A 2 i minimum c 0.56 x >> N Unk U2 x bad bad unk U2 U2 x U2 - noChange noInfo 600 c 1.37
Monachus monachus GR MMED 361801.90 99.24 + 300 400 N/A i estimate b 97.49 + > N Unk U1 + good poor poor U1 U1 + U1 + noChange noChange 41700 b 95.42
Monachus monachus CY MMED 854 0.23 + 7 15 7 i estimate a 1.95 + 100 i Y FV + good poor good FV U1 + U1 = knowledge knowledge 1400 a 3.20
Monachus monachus PT MMAC 3300 100 = 18 22 20 i estimate a 100 = 50 i N Y U1 - unk unk unk XX U1 = U1 + noChange knowledge 2400 b 100
Monodon monoceros UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange N/A d 0
Monodon monoceros NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Muscardinus avellanarius IT CON 52000 11.84 = N/A N/A 16888 grids1x1 estimate b 8.38 = Y FV = good good good FV FV = FV noChange noChange 34900 b 12.95
Muscardinus avellanarius DE ATL 4804 3.93 = 1512 1512 1512 grids1x1 estimate b 1.87 = > grids10x10 Y FV = good poor good U1 U1 = XX knowledge knowledge 3000 b 3.22
Muscardinus avellanarius IT ALP 30000 28.34 = N/A N/A 16519 grids1x1 estimate b 26.31 = Y FV = good good good FV FV = FV noChange noChange 20400 b 34.17
Muscardinus avellanarius DE ALP 2177 2.06 = 1354 1354 1354 grids1x1 estimate b 2.16 x x grids10x10 Y FV = good unk good FV FV = XX knowledge knowledge 1500 b 2.51
Muscardinus avellanarius BG BLS 200 100 = 200 N/A N/A 2 grids1x1 minimum b 100 = 2 grids1x1 Unk XX x good good unk FV FV = U1 x method method 200 b 100
Muscardinus avellanarius LT BOR 64700 43.49 = N/A N/A 217 grids1x1 estimate b 0.40 = x Y FV = good good good FV FV = FV noChange noChange 13500 b 18.42
Muscardinus avellanarius BG ALP 3400 3.21 = 3400 N/A N/A 9 grids1x1 minimum b 0.01 = 9 grids1x1 Unk XX x good good unk FV FV = FV noChange method 900 b 1.51
Muscardinus avellanarius BG CON 7000 1.59 = 7000 N/A N/A 25 grids1x1 minimum b 0.01 = 25 grids1x1 Unk XX x good good unk FV FV = U1 x method method 2100 b 0.78
Muscardinus avellanarius GR MED 95462 63.57 = N/A N/A 59404 grids1x1 estimate b 63.09 = Y FV = good good good FV FV = FV noChange noChange 64400 b 60.81
Muscardinus avellanarius SI CON 12616 2.87 = 33 35 N/A grids1x1 minimum c 0.02 = Y FV = good good good FV FV = FV noChange noChange 1900 c 0.70
Muscardinus avellanarius SI ALP 7656 7.23 = 14 15 N/A grids1x1 minimum c 0.02 = Y FV = good good good FV FV = FV noChange noChange 1000 c 1.68
Muscardinus avellanarius PL ALP 7900 7.46 u N/A N/A 1800 grids1x1 minimum b 2.87 x x Y FV x good unk good FV FV x FV noChange noChange 2100 b 3.52
Muscardinus avellanarius BE ATL 3500 2.86 = >> N/A N/A 8 grids1x1 estimate b 0.01 + >> Y U1 - poor poor poor U1 U2 = U2 - noChange knowledge 600 b 0.64
Muscardinus avellanarius PL CON 31800 7.24 u N/A N/A 13796 grids1x1 minimum b 6.85 x x Y FV x good unk good FV FV x FV noChange noChange 14000 b 5.19
Muscardinus avellanarius IT MED 48700 32.43 = N/A N/A 27254 grids1x1 estimate b 28.94 = Y FV = good good good FV FV = FV noChange noChange 37500 b 35.41
Muscardinus avellanarius NL ATL 300 0.25 = N/A N/A 32 grids1x1 estimate a 0.04 + >> N N U2 = good poor poor U1 U2 + U2 + noChange noChange 200 a 0.21
Muscardinus avellanarius AT CON 10300 2.34 x > N/A N/A 43 grids1x1 minimum c 0.02 x > N N U1 x poor poor poor U1 U1 - FV knowledge knowledge 3200 b 1.19
Muscardinus avellanarius SE CON 7900 1.80 = 7900 N/A N/A 1003 grids1x1 estimate c 0.50 u 500000 i Y U1 - good good poor U1 U1 x U1 = noChange noChange 5500 b 2.04
Muscardinus avellanarius SE BOR 65000 43.70 = 65000 N/A N/A 53664 grids1x1 estimate c 99.49 u 1500000 i Y FV = good good good FV FV = FV noChange noChange 55000 b 75.03
Muscardinus avellanarius AT ALP 17000 16.06 x N/A N/A 121 grids1x1 minimum b 0.19 x > Y FV x good poor poor U1 U1 x FV knowledge noInfo 6000 b 10.05
Muscardinus avellanarius DK CON 1551 0.35 - >> N/A N/A N/A c 0 - >> N Unk U2 - bad bad bad U2 U2 - U2 x N/A N/A 1500 b 0.56
Muscardinus avellanarius RO ALP 20300 19.18 = x 24500 28000 N/A grids1x1 minimum c 41.81 = 2800 grids1x1 Y FV = good good good FV FV + FV N/A N/A 14000 b 23.45
Muscardinus avellanarius RO CON 47300 10.77 = x 51500 57000 N/A grids1x1 minimum c 26.92 + 57000 grids1x1 Y FV = good good good FV FV + FV N/A N/A 41700 b 15.47
Muscardinus avellanarius RO PAN 2200 4.84 = x 500 800 N/A grids1x1 minimum a 58.98 = 800 grids1x1 Y FV x good good good FV FV + FV N/A N/A 1200 b 3.70
Muscardinus avellanarius RO STE 2700 100 = x 3500 4200 N/A grids1x1 minimum b 100 = 1000 grids1x1 Y FV x good good good FV FV + FV N/A N/A 2300 b 100
Muscardinus avellanarius CZ CON 67500 15.37 = N/A 1395 N/A grids1x1 estimate b 0.35 x x Y FV = good unk good FV FV = FV noChange noChange 26700 a 9.90
Muscardinus avellanarius CZ PAN 2900 6.38 x x N/A 2 N/A grids1x1 estimate a 0.09 x x Unk XX = unk unk unk XX XX FV noInfo noInfo 100 a 0.31
Muscardinus avellanarius FR MED 5700 3.80 = > 5000 10000 N/A grids1x1 mean c 7.97 = > Unk Unk U1 = good unk poor U1 U1 = XX knowledge noChange 4000 a 3.78
Muscardinus avellanarius FR ALP 8000 7.56 = 16400 16400 N/A grids1x1 estimate d 26.12 x x Y FV = unk poor poor U1 U1 = U1 = noChange noChange 6500 a 10.89
Muscardinus avellanarius DE CON 136301 31.03 = 67393 67393 67393 grids1x1 estimate b 33.45 = > grids10x10 N Y U1 - unk unk poor XX U1 - U1 = noChange knowledge 82100 b 30.45
Muscardinus avellanarius FR CON 45000 10.24 = 40000 50000 N/A grids1x1 mean b 22.33 = Y Unk FV = good good poor U1 U1 = U1 = noChange noChange 42500 a 15.76
Muscardinus avellanarius SK ALP 8909.33 8.42 = 312 312 N/A grids1x1 estimate b 0.50 = Y FV = good good good FV FV = U1 = knowledge N/A 7300 b 12.23
Muscardinus avellanarius EE BOR N/A 0 x x N/A N/A N/A grids1x1 minimum c 0 x x Y XX = unk unk unk XX XX XX noChange noChange N/A d 0
Muscardinus avellanarius SK PAN 1684.61 3.71 = > 84 84 N/A grids1x1 estimate b 7.62 = Y U1 = good poor poor U1 U1 = U1 = N/A N/A 1200 b 3.70
Muscardinus avellanarius BE CON 15000 3.41 = N/A N/A 383 grids1x1 estimate b 0.19 + Y U1 = good good good FV U1 + U1 - noChange knowledge 10500 b 3.89
Muscardinus avellanarius LU CON 3800 0.87 = 1680 2253 N/A grids1x1 estimate b 0.98 + 2459 grids1x1 Y FV + good good good FV FV + FV noChange genuine 3000 b 1.11
Muscardinus avellanarius HR ALP 500 0.47 x >> N/A N/A 7 grids1x1 minimum b 0.01 x >> Unk XX x unk unk unk XX U2 x N/A N/A N/A b 0
Muscardinus avellanarius HR CON 1200 0.27 x >> N/A N/A 17 grids1x1 minimum b 0.01 x >> Unk XX x unk unk unk XX U2 x N/A N/A N/A b 0
Muscardinus avellanarius HR MED 300 0.20 x >> N/A N/A 3 grids1x1 minimum b 0 x >> Unk XX x unk unk unk XX U2 x N/A N/A N/A b 0
Muscardinus avellanarius LV BOR 19054 12.81 x x N/A N/A 59 grids1x1 minimum c 0.11 x x Unk XX x unk good unk XX XX FV knowledge noChange 4800 d 6.55
Muscardinus avellanarius HU PAN 38677 85.08 = N/A N/A 367 grids1x1 minimum b 33.30 = Y U1 = good good poor U1 U1 = U1 = noChange noChange 29900 b 92.28
Muscardinus avellanarius UK ATL 82516 67.51 = 82516 N/A N/A 4169 grids1x1 minimum b 5.16 - x Unk Unk XX x poor bad poor U2 U2 x U2 - noChange method 59300 a 63.69
Muscardinus avellanarius FR ATL 31100 25.45 - > 50000 100000 N/A grids1x1 mean d 92.91 x > N Y U1 - unk unk poor XX U2 - U2 = knowledge noChange 30000 a 32.22
Mustela eversmanii RO BLS 2200 34.92 x x 20 30 N/A grids1x1 minimum b 50 x 30 grids1x1 Y XX x good unk unk XX XX XX N/A N/A 1300 b 35.14
Mustela eversmanii BG BLS 4100 65.08 = 4100 N/A N/A 25 grids1x1 minimum b 50 u 25 grids1x1 Unk XX x unk unk unk XX XX x FV noChange noChange 2400 b 64.86
Mustela eversmanii BG CON 26000 58.30 = 26000 N/A N/A 46 grids1x1 minimum b 18.36 u 46 grids1x1 Unk XX x unk unk unk XX XX x FV method method 5900 b 31.89
Mustela eversmanii CZ CON 2300 5.16 = >> 3 6 N/A grids1x1 estimate a 1.80 + >> Unk XX = bad bad unk U2 U2 + U2 = noChange noChange 500 a 2.70
Mustela eversmanii CZ PAN 2100 4.30 = > 4 6 N/A grids1x1 estimate a 1.21 = >> Unk XX = poor bad unk U2 U2 = U2 = noChange noChange 600 a 3.87
Mustela eversmanii RO STE 26400 100 x x 680 1080 N/A grids1x1 minimum a 100 x 1080 grids1x1 Y XX x unk unk unk XX XX XX N/A N/A 25000 b 100
Mustela eversmanii AT CON 7100 15.92 x > 80 N/A N/A grids1x1 minimum b 31.94 x >> Y XX x poor bad unk U2 U2 x U2 - noChange N/A 4200 b 22.70
Mustela eversmanii SK ALP 1420.37 100 - > N/A 1 N/A grids1x1 estimate c 100 - > Y U1 - poor bad bad U2 U2 - U2 = N/A knowledge N/A c 0
Mustela eversmanii RO PAN 4300 8.81 x x 220 340 N/A grids1x1 minimum b 67.96 x 340 grids1x1 Y XX x good unk unk XX XX XX N/A N/A 4300 b 27.74
Mustela eversmanii RO CON 9200 20.63 x x 100 140 N/A grids1x1 minimum b 47.90 x 140 grids1x1 Y XX x good unk unk XX XX N/A N/A N/A N/A 7900 b 42.70
Mustela eversmanii SK PAN 100 0.20 - > 1 1 N/A grids1x1 estimate c 0.24 - >> Y U1 - poor bad bad U2 U2 - U2 = N/A knowledge 100 c 0.65
Mustela eversmanii HU PAN 42292 86.68 x > N/A N/A 126 grids1x1 minimum c 30.58 x > Unk XX x unk poor unk XX U2 x U2 = noChange method 10500 d 67.74
Mustela lutreola RO STE 900 100 = 0.50 0.90 N/A grids1x1 estimate a 100 = 0.10 grids1x1 N Y FV = poor poor good XX U1 = XX knowledge knowledge 1200 b 100
Mustela lutreola ES ATL 8500 38.64 - > 66 N/A N/A grids1x1 minimum a 100 - 700 grids1x1 Y U1 = poor bad good U2 U2 - U2 - genuine genuine 4200 a 20.79
Mustela lutreola ES ALP 2300 100 = x 13 1300 N/A grids1x1 estimate b 100 x 1300 grids1x1 Y FV = good poor good U2 U2 = N/A N/A noChange noChange 600 a 100
Mustela lutreola EE BOR 1500 100 + > N/A N/A 52 grids1x1 estimate a 100 + > Y FV = good good good FV U1 + U1 x genuine genuine 1500 a 100
Mustela lutreola DE ATL 500 2.27 x x N/A N/A N/A d 0 x x grids5x5 Unk XX x unk unk unk XX XX x N/A N/A genuine genuine 400 d 1.98
Mustela lutreola ES MED 2200 100 - > N/A 521 N/A grids1x1 estimate a 100 - 500 i Y U1 = bad bad good U2 U2 - U2 - noChange genuine 11400 a 100
Mustela lutreola RO BLS 1600 100 = 0.50 0.90 N/A grids1x1 estimate b 100 + 0.10 grids1x1 N Y FV = good poor good U1 U1 + XX knowledge knowledge 1300 b 100
Mustela lutreola FR ATL 13000 59.09 - >> N/A N/A N/A mean b 0 - >> Y XX u bad bad unk U2 U2 - U2 - noChange noChange 15600 b 77.23
Mustela putorius DK ATL N/A 0 = N/A N/A N/A d 0 - > Y U1 - good poor poor U1 U1 - FV N/A N/A N/A c 0
Mustela putorius ES ALP 12200 7.44 = 170 850 N/A i estimate c 1.82 x 850 i Y FV = good unk poor FV FV = FV N/A N/A 2700 a 2.61
Mustela putorius FI BOR 51300 14.07 = 3000 7000 N/A i estimate c 8.26 u > Y FV = good unk unk XX U1 = U1 - noChange knowledge 8700 b 3.37
Mustela putorius PL CON 308700 27.21 = N/A N/A 10000 i minimum b 9.57 = Y FV = good good good FV FV = FV noChange noChange 204500 b 24.73
Mustela putorius PL ALP 9500 5.79 = N/A N/A 1000 i minimum b 3.58 = Y FV = good good good FV FV = FV noChange noChange 4400 b 4.26
Mustela putorius EE BOR 45800 12.56 + 5000 20000 N/A i estimate c 20.66 = Y FV = good good good FV FV + FV noChange noChange 45300 a 17.52
Mustela putorius DK CON N/A 0 = N/A N/A N/A d 0 - > Y U1 - good poor poor U1 U1 - FV N/A N/A N/A c 0
Mustela putorius DE CON 283617 25 - x N/A N/A N/A i estimate c 0 - x grids10x10 Unk U1 - unk unk poor XX U1 - U1 x noChange genuine 175300 d 21.20
Mustela putorius DE ATL 70501 14.37 = 70501 N/A N/A N/A i estimate b 0 x grids10x10 Unk U1 - unk poor poor U1 U1 x U1 - noChange method 17700 d 4.52
Mustela putorius DE ALP 4155 2.53 = 4155 N/A N/A N/A i estimate c 0 = 40 grids10x10 Y FV = good good good FV FV = FV noChange noChange 5400 d 5.22
Mustela putorius NL ATL 40600 8.27 = 10000 100000 N/A i estimate c 36.75 x N N U1 - good unk poor U1 U1 x U2 - noInfo noInfo 37000 a 9.44
Mustela putorius RO ALP 47200 28.77 = x 2800 4300 N/A i minimum b 12.70 = 4300 i Y FV = good good good FV FV + FV N/A N/A 35300 b 34.14
Mustela putorius RO CON 141400 12.47 = x 12800 15400 N/A i minimum b 13.50 = 15400 i Y FV = good good good FV FV + FV N/A N/A 125300 b 15.15
Mustela putorius RO PAN 14800 13.01 = x 1200 1400 N/A i minimum b 4.20 = 1400 i Y FV = good good good FV FV + FV N/A N/A 12000 b 17.02
Mustela putorius RO STE 36000 100 = x 3200 3400 N/A i minimum b 100 = 3400 i Y FV x good good good FV FV + XX N/A N/A 33900 b 100
Mustela putorius FR ALP 7000 4.27 = N/A N/A N/A mean b 0 u > Y FV = poor poor poor U1 U1 = U1 - noChange noChange 6900 b 6.67
Mustela putorius FR ATL 178600 36.39 = N/A N/A N/A mean b 0 u Unk N U1 x unk unk unk XX U1 x FV genuine genuine 196500 b 50.14
Mustela putorius FR CON 129900 11.45 = N/A N/A N/A mean b 0 = Y Unk U1 x unk unk unk XX U1 = FV method noChange 146700 b 17.74
Mustela putorius FR MED 16700 3.47 = > N/A N/A N/A mean b 0 x > Y FV = unk unk unk XX U1 = U1 - noChange N/A 22600 b 12.68
Mustela putorius CZ PAN 5800 5.10 = 1000 2000 N/A i estimate c 4.85 x x Y FV = good unk good FV FV = FV noChange noChange 3400 a 4.82
Mustela putorius CZ CON 85300 7.52 = 30000 40000 N/A i estimate c 33.51 x x Y FV = good unk good FV FV = FV noChange noChange 76400 a 9.24
Mustela putorius SE BOR 138300 37.92 + 86700 6000 29000 17000 i estimate c 28.10 u 11000 i Y FV = good good good FV FV = FV noChange noChange 134200 b 51.91
Mustela putorius SE CON 23100 2.04 = 23100 4000 11000 7000 i estimate b 6.70 u 7000 i Y FV = good good good FV FV = FV noChange noChange 19300 b 2.33
Mustela putorius LV BOR 64589 17.71 = 64589 13612 14391 N/A i estimate b 23.14 + 10000 i Y FV = good good good FV FV + FV noChange noChange 1900 d 0.74
Mustela putorius LU CON 3100 0.27 x 420 N/A N/A i minimum c 0.40 x 2426 grids1x1 Y U1 x good unk poor U1 U1 x XX knowledge noInfo 3100 c 0.37
Mustela putorius BG CON 3000 0.26 x 3000 560 560 N/A i minimum b 0.54 x 560 i Unk XX x unk unk unk XX XX x XX noChange knowledge 700 b 0.08
Mustela putorius LT BOR 64700 17.74 = 4000 20000 N/A i minimum c 19.83 = x Y FV = good good good FV FV = FV noChange noChange 68400 c 26.46
Mustela putorius BG BLS 600 100 u 600 160 160 N/A i minimum b 100 x 160 i Unk XX x unk unk unk XX XX x XX method method 200 b 100
Mustela putorius BG ALP 200 0.12 x 200 80 80 N/A i minimum b 0.29 x 80 i Unk XX x unk unk unk XX XX x XX knowledge knowledge 100 b 0.10
Mustela putorius GR MED 10914 2.27 x x N/A N/A N/A c 0 x x Unk XX = unk unk unk XX XX XX noChange noChange 9000 c 5.05
Mustela putorius SI ALP 7656 4.67 = 7656 N/A N/A 12 i minimum c 0.04 x x Y FV x good unk unk XX XX XX noChange noChange 700 c 0.68
Mustela putorius SI CON 12616 1.11 = 12616 N/A N/A 36 i minimum c 0.03 x x Y FV x good unk unk XX XX XX noChange noChange 3100 c 0.37
Mustela putorius IT MED 74200 15.43 = 191 955 N/A i estimate c 1.98 = Y FV = good good good FV FV = XX noChange noChange 19100 b 10.71
Mustela putorius IT CON 72800 6.42 = 272 1360 N/A i estimate c 0.78 = Y FV = good good good FV FV = FV noChange noChange 27400 b 3.31
Mustela putorius IT ALP 22100 13.47 = x 58 290 N/A i estimate c 0.62 = x Y FV = good good good FV FV = FV noChange noChange 5600 b 5.42
Mustela putorius SK ALP 1348.72 0.82 - > 1000 3000 N/A i estimate c 7.15 - > Y U1 - poor poor poor U1 U1 - U1 - N/A N/A 600 c 0.58
Mustela putorius SK PAN 142.95 0.13 - > 1000 3000 N/A i estimate c 6.47 - > Y U1 - poor poor poor U1 U1 - U1 - N/A N/A 200 c 0.28
Mustela putorius BE CON 15000 1.32 u 5160 10320 N/A i estimate b 7.41 = > Y U1 = good unk good FV U1 x U1 - noChange knowledge 12200 b 1.48
Mustela putorius BE ATL 22500 4.59 u 2750 8400 5575 i estimate b 3.72 = > Y U1 - good poor poor U1 U1 x U2 - noChange genuine 18600 b 4.75
Mustela putorius HU PAN 93011 81.77 = N/A N/A 26135 i estimate c 84.48 = Y FV = good good good FV FV = FV noChange method 54900 b 77.87
Mustela putorius HR ALP 3805.37 2.32 = N/A N/A 632 i mean c 2.26 x x Y XX x good unk good FV XX N/A N/A N/A d 0
Mustela putorius HR CON 17416.99 1.54 = N/A N/A 1777 i mean c 1.70 x x Y XX x good unk unk XX XX N/A N/A N/A d 0
Mustela putorius HR MED 7496.67 1.56 = N/A N/A 236 i mean c 0.81 x x Y XX x good unk good FV XX N/A N/A N/A d 0
Mustela putorius UK ATL 109229 22.26 + 109229 67945 99483 83600 i interval b 55.85 + 83600 i Y FV = good good good FV FV + FV noChange noChange 79700 b 20.34
Mustela putorius AT CON 38400 3.39 = 14000 40000 N/A i minimum c 25.85 x Y FV x good good good FV FV x FV noChange noChange 33000 b 3.99
Mustela putorius AT ALP 48900 29.81 = 10000 30000 N/A i minimum c 71.54 x Y FV x good unk good FV FV x FV noChange noChange 41700 b 40.33
Mustela putorius PT ATL 1100 0.22 x x N/A N/A N/A d 0 - x Unk XX - unk poor unk XX U1 x XX noInfo noChange 500 d 0.13
Mustela putorius PT MED 21800 4.53 x x N/A N/A N/A d 0 - x Unk XX - unk poor unk XX U1 x XX noInfo noChange 10500 d 5.89
Mustela putorius ES MED 349900 72.74 = 9400 47000 N/A i estimate b 97.21 x 47000 i Y FV = good unk poor FV FV = U1 = N/A N/A 117100 a 65.68
Mustela putorius ES ATL 68200 13.90 = 1800 9200 N/A i estimate b 3.67 x 9200 i Y FV = good unk poor FV FV = U1 = N/A N/A 41900 a 10.69
Myomimus roachi GR MED 3222 100 - x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX XX noChange noChange 4100 b 100
Myomimus roachi BG BLS 2300 100 = 2300 N/A N/A 10 grids1x1 minimum b 100 = 10 grids1x1 N Y FV - unk unk unk XX FV - FV method method 500 b 100
Myomimus roachi BG CON 7400 100 = 7400 N/A N/A 86 grids1x1 minimum b 100 = 86 grids1x1 Y FV = unk unk unk XX FV = FV method method 3300 b 100
Myotis alcathoe ES ATL 400 1.58 + > 63 N/A N/A grids1x1 minimum b 0.43 x 63 localities Y FV x unk good unk XX XX FV noChange knowledge 400 a 2.16
Myotis alcathoe GR MED 50177 92.11 x x N/A N/A 17006 grids1x1 estimate b 90.81 x x Unk XX x unk unk unk XX XX XX noChange noChange 17700 b 88.06
Myotis alcathoe IT MED 1200 2.20 + > 4 20 N/A grids1x1 estimate c 0.06 x x Y XX x good unk unk XX U1 x XX noChange noChange 400 b 1.99
Myotis alcathoe IT ALP 1200 9.08 + > 2 20 N/A grids1x1 estimate c 0.64 x x Y XX x good unk unk XX U1 x XX noChange noChange 200 b 2.60
Myotis alcathoe AT ALP 800 0 x > 11 N/A N/A grids1x1 minimum c 0 x > Y FV = unk unk unk XX U1 x N/A N/A N/A N/A 700 b 0
Myotis alcathoe HR MED 500 0 x x N/A N/A 1 grids1x1 minimum c 0 x x Unk XX x unk unk unk XX XX N/A N/A 300 b 0
Myotis alcathoe HR CON 1300 0 x x N/A N/A 5 grids1x1 minimum c 0 x x N Unk XX N unk unk poor XX XX N/A N/A 1300 b 0
Myotis alcathoe SE CON 2100 2.45 u 15000 N/A N/A 4 grids1x1 estimate c 0.01 u 1000 i N Unk U2 x bad bad unk U2 U2 x U2 x noChange knowledge 700 b 1.85
Myotis alcathoe HR ALP 1800 0 x x N/A N/A 9 grids1x1 minimum c 0 x x Unk XX x unk unk unk XX XX N/A N/A 1700 b 0
Myotis alcathoe AT CON 1000 1.17 = > 31 N/A N/A grids1x1 minimum c 0.05 x > Y FV = unk unk unk XX U1 = XX knowledge knowledge 900 b 2.38
Myotis alcathoe FR ALP 1900 14.38 x x 1400 2000 N/A grids1x1 mean d 98.72 x x Unk Unk XX = good unk unk XX U1 x XX knowledge noChange 1600 b 20.78
Myotis alcathoe FR ATL 19400 76.49 x 14000 15000 N/A grids1x1 mean d 99.34 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 16000 b 86.49
Myotis alcathoe FR CON 20700 24.16 x 18000 100000 N/A grids1x1 mean c 90.34 x x Unk Y XX x good unk unk XX XX x XX knowledge noChange 17400 b 46.03
Myotis alcathoe FR MED 2600 4.77 x x 1400 2000 N/A grids1x1 mean d 9.08 x x Unk Unk XX = good unk unk XX XX x U1 x noChange noChange 1500 b 7.46
Myotis alcathoe DE CON 30129 35.17 x x 6043 6043 6043 grids1x1 estimate b 9.25 x x grids5x5 Unk XX x unk unk unk XX XX x XX noChange noChange 9700 b 25.66
Myotis alcathoe LU CON 400 0 x > 3 12 N/A grids1x1 estimate c 0 x x Unk U1 x poor unk poor U1 U1 x XX knowledge noChange 300 c 0
Myotis alcathoe CZ CON 15600 18.21 + x 183 183 N/A grids1x1 estimate a 0.28 + x Y FV = unk unk good XX XX XX noChange noChange 4800 a 12.70
Myotis alcathoe BG CON 3800 4.44 = 3800 N/A N/A 3 grids1x1 minimum b 0 u 3 grids1x1 Y FV = unk unk unk XX XX x XX knowledge knowledge 1800 b 4.76
Myotis alcathoe BG BLS 1600 100 = 1600 N/A N/A 2 grids1x1 minimum b 100 u 2 grids1x1 Y FV = unk unk unk XX XX = XX knowledge knowledge 1600 b 100
Myotis alcathoe CZ PAN 2900 27.24 + x 86 86 N/A grids1x1 estimate a 35.98 + x Y FV = unk unk good XX XX XX noChange noChange 700 a 7.07
Myotis alcathoe BG ALP 6800 51.46 = 6800 N/A N/A 6 grids1x1 minimum b 0.35 u 6 grids1x1 Y FV = unk unk unk XX XX = XX knowledge knowledge 5600 b 72.73
Myotis alcathoe SK PAN 807.41 7.59 + > 34 34 N/A grids1x1 estimate a 14.23 + > Y FV x good good good FV FV = XX knowledge knowledge 2000 b 20.20
Myotis alcathoe DE ATL 515 2.03 u x N/A N/A 9 grids1x1 estimate c 0.06 x x grids5x5 Unk XX x unk unk unk XX XX x XX noChange noChange 200 b 1.08
Myotis alcathoe UK ATL 5048 19.90 x x N/A N/A 25 grids1x1 estimate c 0.17 x x Unk Unk XX x unk unk unk XX XX XX noChange noChange 1900 c 10.27
Myotis alcathoe ES MED 500 0.92 + > 10 N/A N/A grids1x1 minimum b 0.05 x 10 grids1x1 Unk XX x poor unk poor XX U1 x U1 = noChange knowledge 500 a 2.49
Myotis alcathoe ES ALP 300 2.27 + > 3 N/A N/A grids1x1 minimum b 0.17 x 3 localities Y FV x unk unk unk XX XX XX noChange noChange 100 a 1.30
Myotis alcathoe BE CON 6600 7.70 x 40 N/A 40 grids1x1 minimum a 0.06 x x Y FV = good unk poor U1 U1 x N/A N/A knowledge noChange 2400 b 6.35
Myotis alcathoe HU PAN 6937 65.17 u N/A N/A 119 grids1x1 minimum c 49.79 x x Unk U1 x poor poor poor U1 U1 x U1 x noChange noChange 7200 c 72.73
Myotis alcathoe SI ALP 3013 22.80 x x N/A N/A 2 grids1x1 minimum c 0.12 x x Unk XX x unk unk unk XX XX XX noChange noChange 200 b 2.60
Myotis alcathoe SI CON 5738 6.70 x x N/A N/A 2 grids1x1 minimum c 0 x x Unk XX x unk unk unk XX XX XX noChange noChange 100 b 0.26
Myotis aurascens BG ALP 9700 100 = 9700 N/A N/A 4 grids1x1 minimum b 100 = 4 grids1x1 Y FV = poor poor poor U1 U1 = FV knowledge knowledge 6500 b 100
Myotis aurascens BG BLS 1000 100 = 1000 N/A N/A 1 grids1x1 minimum b 100 x 1 grids1x1 Y FV = unk unk unk XX XX = U1 - noChange knowledge 800 b 100
Myotis aurascens BG CON 15000 100 = 15000 N/A N/A 12 grids1x1 minimum b 100 = 12 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange knowledge 11300 b 100
Myotis aurascens GR MED 116311 100 x N/A N/A 96750 grids1x1 estimate b 100 x x Unk XX x unk unk unk XX XX XX noChange noChange 110000 b 100
Myotis bechsteinii SI CON 12584 2.44 = N/A N/A 13 i minimum c 0 u > Y XX x good poor unk U1 U1 x FV knowledge knowledge 1400 b 0.73
Myotis bechsteinii SK PAN 1416.42 3.33 + 32 790 N/A i estimate c 57.81 x Y FV x good good good FV U1 x XX knowledge knowledge 1400 b 8.97
Myotis bechsteinii ES ALP 600 0.86 + 4 300 N/A i estimate b 0.72 x 1 grids10x10 N N U2 = bad bad bad U2 U2 x U2 x noChange noChange 100 a 0.41
Myotis bechsteinii CZ CON 65300 12.67 = > 500 1000 N/A i estimate b 0.02 x x Y FV = poor unk good XX U1 = U1 = noChange noChange 18500 a 9.64
Myotis bechsteinii FR ATL 54500 48.10 = 1400000 2000000 N/A i mean c 98.06 = Y Y U1 - good good unk FV U1 - U1 x noChange noChange 41400 b 63.30
Myotis bechsteinii FR ALP 3800 5.48 = 1000 10000 N/A i mean c 26.14 = Y FV = good good unk FV FV = U1 = knowledge noChange 2200 b 8.98
Myotis bechsteinii RO CON 12700 2.46 + 500 1000 N/A i minimum b 0.02 + Y U1 + poor poor poor U1 U1 + U1 = knowledge knowledge 4300 b 2.24
Myotis bechsteinii ES ATL 2300 2.03 = 19 27 N/A i estimate b 0 u x N N U2 - bad bad bad U2 U2 = U2 = noChange noChange 800 a 1.22
Myotis bechsteinii DE ALP 1581 2.28 = x N/A N/A N/A i minimum c 0 x x grids5x5 Y FV = unk unk good XX XX = XX noChange knowledge 700 b 2.86
Myotis bechsteinii DE ATL 26555 23.44 = > N/A N/A N/A i estimate b 0 + > grids5x5 N Y U1 = poor poor unk U1 U1 + U2 + genuine noChange 8500 b 13
Myotis bechsteinii IT CON 12600 2.45 = >> 4000 21000 N/A i estimate c 0.35 + > Y FV = good good good FV U2 + U1 - noChange noChange 4300 b 2.24
Myotis bechsteinii HR MED 2000 1.56 x >> N/A N/A 6 i minimum b 0.03 x >> N Unk U1 x poor unk poor U1 U2 x N/A N/A 1700 b 2.36
Myotis bechsteinii HR CON 5500 1.07 x >> N/A N/A 20 i minimum b 0 x >> N Unk U1 x poor unk poor U1 U2 x N/A N/A 5400 b 2.81
Myotis bechsteinii IT MED 8600 6.72 = >> 3000 15000 N/A i estimate c 41.81 = > N Y U1 - good good poor FV U2 - U1 - noChange noChange 3200 b 4.44
Myotis bechsteinii BE ATL 6100 5.38 + 200 1100 N/A i estimate a 0.04 u >> Y FV = good poor poor U1 U2 = U2 x noChange knowledge 1500 a 2.29
Myotis bechsteinii BE CON 13500 2.62 + 500 4000 N/A i estimate a 0.06 + > Y FV u good good poor U1 U1 = XX knowledge knowledge 7100 a 3.70
Myotis bechsteinii SI ALP 7656 11.03 = 7656 10 N/A N/A i minimum c 0.05 u > Y XX x good poor unk U1 U1 x FV knowledge knowledge 1200 b 4.90
Myotis bechsteinii DK CON 100 0.02 u > N/A N/A N/A d 0 u > N Unk XX x poor poor unk U1 U1 x U2 x N/A N/A 100 b 0.05
Myotis bechsteinii LU CON 3500 0.68 = 2500 5000 N/A i estimate b 0.11 - 5000 i N Unk U1 - good poor poor U1 U1 - U1 = knowledge genuine 2200 b 1.15
Myotis bechsteinii SE CON 3500 0.68 u 15000 100 300 200 i estimate c 0.01 u 1000 i N Unk U2 x bad unk unk U2 U2 x U2 - noChange noChange 1100 c 0.57
Myotis bechsteinii ES MED 12200 9.53 + 599 N/A N/A i minimum b 2.78 - 44 grids10x10 N N U2 = bad bad bad U2 U2 - U2 - noChange noChange 4800 a 6.67
Myotis bechsteinii AT CON 4200 0.82 = > 200 N/A N/A i minimum b 0.01 x > Y U1 - poor poor poor U1 U1 x U1 x noChange noChange 3400 b 1.77
Myotis bechsteinii PL ALP 3500 5.04 x x N/A N/A 17 i minimum b 0.08 x x Y FV x unk unk unk XX XX XX noChange noChange 1400 b 5.71
Myotis bechsteinii BG CON 88000 17.08 = 88000 11445 22889 N/A i minimum c 0.48 x 11445 i Y FV = poor poor poor U1 U1 = U1 - noChange method 7000 b 3.65
Myotis bechsteinii BG BLS 8600 100 = 8600 6512 10726 N/A i minimum c 100 x 6512 i Y FV = poor poor poor U1 U1 = U1 - noChange method 1900 b 100
Myotis bechsteinii BG ALP 24600 35.45 = 24600 4021 8043 N/A i minimum c 28.67 x 4021 i Y FV = poor poor poor U1 U1 = U1 - noChange method 3100 b 12.65
Myotis bechsteinii RO ALP 4700 6.77 = 500 700 N/A i minimum b 2.85 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 1300 b 5.31
Myotis bechsteinii HR ALP 2100 3.03 x >> N/A N/A 8 i minimum b 0.04 x >> N Unk U1 x poor unk poor U1 U2 x N/A N/A 1600 b 6.53
Myotis bechsteinii GR MED 94292 73.67 x N/A N/A N/A b 0 x x Unk XX x unk poor poor U1 U1 x U1 x noChange noChange 55000 b 76.39
Myotis bechsteinii AT ALP 4400 6.34 = > 200 N/A N/A i minimum c 0.95 x > Y U1 - poor poor poor U1 U1 x U1 x noChange knowledge 3700 b 15.10
Myotis bechsteinii HU PAN 35643 83.75 u N/A N/A N/A minimum c 0 - > Unk U1 - poor poor poor U1 U1 - U1 - noChange noChange 13300 b 85.26
Myotis bechsteinii DE CON 231901 45 + 231901 N/A N/A N/A i estimate b 0 - > grids5x5 N Y U1 - good poor poor U1 U1 - U1 - noChange noChange 98700 b 51.41
Myotis bechsteinii PL CON 19500 3.78 x x N/A N/A 3000 i minimum b 0.08 - x Y FV = poor bad poor U2 U2 x U1 x genuine noChange 7100 b 3.70
Myotis bechsteinii SK ALP 7050.67 10.16 + 520 7027 N/A i estimate c 17.93 + Y FV x good good good FV U1 = XX knowledge knowledge 6300 b 25.71
Myotis bechsteinii CZ PAN 5500 12.92 = 100 500 N/A i estimate c 42.19 x x Y FV = good unk good FV FV x XX knowledge knowledge 900 a 5.77
Myotis bechsteinii RO STE 100 0 = 50 100 N/A i minimum b 0 = Y U1 = poor poor poor U1 U1 = N/A N/A knowledge knowledge 100 b 0
Myotis bechsteinii FR MED 8400 6.56 = 2167 21672 N/A i estimate b 55.38 = > Y Y FV = good good poor U1 U1 = U1 = noChange noChange 5800 b 8.06
Myotis bechsteinii FR CON 42400 8.23 = 3000000 4000000 N/A i mean b 98.85 = Y Y FV = good good good FV FV = U1 = knowledge noChange 31400 b 16.35
Myotis bechsteinii IT ALP 9400 13.55 = >> 1500 8000 N/A i estimate c 22.57 = > N Y U1 - good good poor FV U2 - U1 - noChange noChange 2900 b 11.84
Myotis bechsteinii NL ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Myotis bechsteinii UK ATL 23550 20.78 + 23550 10300 55600 N/A i interval b 1.90 x x Unk Unk XX x good unk unk XX XX U1 x knowledge noChange 13000 b 19.88
Myotis bechsteinii PT ATL 300 0.26 = 300 N/A N/A N/A minimum b 0 x x Unk XX x good unk unk XX XX U1 x knowledge noChange 200 b 0.31
Myotis bechsteinii PT MED 2500 1.95 = 2500 N/A N/A N/A minimum b 0 x x Unk XX - good unk unk XX XX U2 x method noChange 1500 b 2.08
Myotis blythii RO CON 12400 7.58 = 5000 10000 N/A i minimum b 14.74 = Y FV = poor poor poor FV FV = U1 = knowledge knowledge 2400 b 5.12
Myotis blythii CZ CON 200 0 - >> N/A 2 N/A i estimate c 0 - N/ Unk XX x bad bad unk U2 U2 = U2 = noChange noChange 200 a 0
Myotis blythii CY MED 9689 2.42 x 65 500 N/A i estimate b 0.24 x x Y XX = good unk good FV XX XX noChange noChange 8800 b 3.81
Myotis blythii RO STE 200 100 = 200 300 N/A i minimum b 100 = Y FV = poor poor poor FV FV = U1 = knowledge knowledge 100 b 100
Myotis blythii SK PAN 712.58 1.47 = 11 135 N/A i estimate c 100 + Y FV x good good good FV FV = XX knowledge knowledge 700 b 7.61
Myotis blythii ES MED 165100 41.22 = 38546 N/A N/A i estimate a 32.51 = 38546 i Y U1 = good poor poor U1 U1 = U2 - genuine genuine 37700 a 16.31
Myotis blythii ES ATL 19800 77.95 = 1000 2000 N/A i estimate b 27.27 x 2000 i Y U1 x poor poor poor U1 U1 = U1 x N/A N/A 2900 a 46.03
Myotis blythii CZ PAN N/A 0 x x N/A N/A N/A i estimate a 0 x x Unk XX x unk unk unk XX XX U2 = noInfo noInfo N/A a 0
Myotis blythii FR ALP 9900 10.23 = 1000 5000 N/A i mean b 8.78 - > N Y U1 - poor unk poor U1 U2 - U2 - noChange noChange 4200 a 13.68
Myotis blythii FR ATL 5600 22.05 = > 3000 5000 N/A i mean c 72.73 = > Y U1 = poor good unk U1 U1 = U2 - knowledge noChange 3400 a 53.97
Myotis blythii ES ALP 4500 4.65 = 7 N/A N/A i minimum b 0.02 x 7 i Unk XX x poor poor poor XX U1 = U2 - N/A N/A 400 a 1.30
Myotis blythii FR CON 6800 4.16 = >> 3000 5000 N/A i mean a 7.86 - >> N N U2 = poor poor unk U1 U2 + U2 - noChange noChange 3500 a 7.46
Myotis blythii BG BLS 7800 100 = 7800 100 2500 N/A i minimum b 100 = 2000 i Y FV = unk unk unk XX FV = FV method method 1300 b 100
Myotis blythii BG CON 93100 56.92 = 93100 1000 20000 N/A i minimum b 20.63 = 10000 i Y FV = poor poor poor U1 U1 = U1 = noChange noChange 20400 b 43.50
Myotis blythii BG ALP 24900 25.73 = 24900 3500 5500 N/A i minimum b 13.17 = 3500 i Y FV = poor poor poor U1 U1 = U1 = noChange method 5300 b 17.26
Myotis blythii SK ALP 3781.20 3.91 = 4127 6280 N/A i estimate c 15.23 + Y FV x good good good FV FV = XX knowledge knowledge 3300 b 10.75
Myotis blythii HU PAN 47706 98.53 - > N/A N/A N/A minimum a 0 - > Y U1 - poor poor poor U1 U1 - U1 - noChange noChange 8500 a 92.39
Myotis blythii HR MED 29900 7.46 x N/A N/A 9250 i minimum b 7.80 x Y U1 x good unk poor U1 U1 x N/A N/A 27900 b 12.07
Myotis blythii IT ALP 23500 24.28 = > 4500 22500 N/A i estimate c 39.51 = Y U1 - good poor poor U1 U1 - U1 - noChange noChange 5800 b 18.89
Myotis blythii HR CON 9100 5.56 x >> N/A N/A 130 i minimum b 0.26 x >> N Unk U1 x unk poor bad U2 U2 x N/A N/A 8800 b 18.76
Myotis blythii PT MED 11700 2.92 = 11700 N/A N/A N/A minimum b 0 u x Unk XX - good unk unk XX XX U2 - knowledge knowledge 4500 b 1.95
Myotis blythii AT CON 1400 0.86 - >> N/A N/A N/A c 0 x >> Unk Unk U1 - poor bad bad U2 U2 - U2 - noChange noChange 1100 c 2.35
Myotis blythii HR ALP 10900 11.26 x N/A N/A 400 i minimum b 1.17 x > N Unk U1 x unk unk poor XX U1 x N/A N/A 8100 b 26.38
Myotis blythii SI ALP 5996 6.20 = N/A N/A 7 i minimum b 0.02 u > Y U1 u poor poor poor U1 U1 x U1 x noChange noChange 600 b 1.95
Myotis blythii FR MED 27500 6.87 = 10000 11000 N/A i mean a 8.85 = Y N U1 - good good unk FV U1 - U2 - noChange noChange 11500 a 4.97
Myotis blythii SI CON 7268 4.44 = N/A N/A 15 i minimum b 0.03 u > Y U1 u good poor poor U1 U1 x U1 x noChange noChange 1000 b 2.13
Myotis blythii IT MED 33500 8.36 = > 10000 50000 N/A i estimate c 25.30 = Y U1 - good poor poor U1 U1 - U1 - noChange noChange 10900 b 4.71
Myotis blythii AT ALP 1500 1.55 - >> 50 N/A N/A i minimum c 0.15 x >> Unk Unk U1 - poor bad bad U2 U2 - U2 - genuine noChange 1300 c 4.23
Myotis blythii GR MED 123160 30.75 x 10000 50000 N/A i estimate b 25.30 x Unk XX x unk poor poor U1 U1 x U1 x noChange noChange 129900 b 56.19
Myotis blythii RO ALP 11800 12.19 = 5000 10000 N/A i minimum b 21.95 = Y FV = good good good FV FV = U1 = knowledge knowledge 1700 b 5.54
Myotis blythii IT CON 33500 20.48 = > 9500 48000 N/A i estimate c 56.49 = Y U1 - good poor poor U1 U1 - U1 - noChange noChange 9700 b 20.68
Myotis brandtii AT CON 1600 0.36 = > 15 N/A N/A grids1x1 minimum b 0.02 x > Y FV = good unk good FV U1 = U1 x noChange knowledge 1400 b 0.85
Myotis brandtii NL ATL 900 0.45 x x N/A N/A 17 grids1x1 estimate b 0.10 x >> Unk XX x unk unk unk XX U2 x U2 + noChange noInfo 900 b 0.81
Myotis brandtii SE BOR 277100 56.05 = 277100 N/A N/A 1385 grids1x1 estimate c 1.72 = 1100000 i Y FV = good good good FV FV = FV noChange noChange 59200 b 74.19
Myotis brandtii DK CON 390 0.09 u N/A N/A N/A d 0 u > Unk Unk XX u good unk unk XX XX XX N/A N/A 400 b 0.24
Myotis brandtii CZ PAN 5000 12.61 = 76 76 N/A grids1x1 estimate a 36.71 = > Y FV = good poor good FV U1 = U1 = noChange noChange 900 a 7.76
Myotis brandtii CZ CON 71900 16.20 = 1389 1389 N/A grids1x1 estimate a 1.59 = > Y FV = good poor good FV U1 = U1 = noChange noChange 25000 a 15.10
Myotis brandtii LV BOR 64589 13.06 = 64589 N/A N/A 38046 grids1x1 estimate c 47.28 + Y XX x good good unk FV FV = XX noChange noChange 400 c 0.50
Myotis brandtii SI ALP 5216 11.84 x x 3 4 N/A grids1x1 minimum c 0.05 x x Unk XX x unk unk unk XX XX XX noChange noChange 300 b 1.11
Myotis brandtii SI CON 10967 2.47 x x 5 6 N/A grids1x1 minimum c 0.01 x x Unk XX x unk unk unk XX XX XX noChange noChange 500 b 0.30
Myotis brandtii IE ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A XX N/A N/A N/A N/A N/A N/A 0
Myotis brandtii FR MED 1700 0 x x 1500 1500 N/A grids1x1 mean d 0 x x Unk Unk XX = unk unk unk XX XX x XX noChange noChange 900 b 0
Myotis brandtii FR CON 25000 5.63 = 6600 6600 N/A grids1x1 mean d 7.57 x x Y Y FV = unk unk good XX XX = U1 = knowledge noChange 19700 b 11.90
Myotis brandtii LU CON 3600 0.81 x N/A N/A 1200 grids1x1 estimate c 1.38 x x Unk XX x good unk unk XX XX XX noChange noChange 2900 c 1.75
Myotis brandtii GR MED 5012 83.37 x > N/A N/A 3152 grids1x1 estimate b 96.63 x x Unk XX x poor unk unk XX U1 x U1 x noChange noChange 3200 b 96.97
Myotis brandtii FR ATL 8800 4.38 x x 6600 6600 N/A grids1x1 mean d 39.87 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 7000 b 6.31
Myotis brandtii FR ALP 5000 11.35 = 4300 4300 N/A grids1x1 mean d 61.38 x x N Y FV = unk unk good XX XX = U1 x knowledge noChange 3700 b 13.70
Myotis brandtii PL ALP 6300 14.30 = N/A N/A 2100 grids1x1 minimum b 29.97 + Y FV = good good good FV FV + FV noChange noChange 2100 b 7.78
Myotis brandtii PL CON 16400 3.69 = N/A N/A 6800 grids1x1 minimum c 7.80 + Y FV = good good good FV FV + FV noChange noChange 6600 b 3.99
Myotis brandtii LT BOR 65200 13.19 x N/A N/A 103 grids1x1 minimum c 0.13 x > Unk XX x unk unk unk XX XX XX noChange noChange 7800 b 9.77
Myotis brandtii BG CON 8000 1.80 = 8000 N/A N/A 4 grids1x1 minimum b 0 = 4 grids1x1 Y FV = unk unk unk XX FV = XX method method 4600 b 2.78
Myotis brandtii BG ALP 8100 18.38 = 8100 N/A N/A 4 grids1x1 minimum b 0.06 = 4 grids1x1 Y FV = unk unk unk XX FV = XX method method 6100 b 22.59
Myotis brandtii SK ALP 7322.64 16.62 + 113 113 N/A grids1x1 estimate c 1.61 + Y FV x good good good FV FV = XX knowledge knowledge 6200 b 22.96
Myotis brandtii SK PAN 865.11 2.18 + 11 11 N/A grids1x1 estimate c 5.31 + Y XX x good unk unk XX XX XX N/A N/A 1000 b 8.62
Myotis brandtii FI BOR 81600 16.51 = 149 81600 N/A grids1x1 estimate b 50.80 x x Y XX x good unk unk XX XX XX noChange noChange 9900 a 12.41
Myotis brandtii EE BOR 5900 1.19 = N/A N/A 53 grids1x1 minimum b 0.07 + x Unk XX x good good good FV FV + FV noChange genuine 2500 a 3.13
Myotis brandtii HR ALP 3700 8.40 x >> N/A N/A 7 grids1x1 minimum c 0.10 x >> N Unk XX x unk unk poor XX U2 x N/A N/A 3500 b 12.96
Myotis brandtii HR CON 600 0.14 x >> N/A N/A 9 grids1x1 minimum b 0.01 x >> N Unk XX x unk unk poor XX U2 x N/A N/A 6000 b 3.62
Myotis brandtii AT ALP 4500 10.21 = > 45 N/A N/A grids1x1 minimum b 0.64 x > Y FV = good unk good FV U1 = U1 x noChange knowledge 3700 b 13.70
Myotis brandtii SE CON 23700 5.34 = 23700 N/A N/A 190 grids1x1 estimate c 0.22 = 55000 i Y FV = good good good FV FV = FV noChange noChange 6700 b 4.05
Myotis brandtii BE CON 6900 1.55 - x N/A N/A 21 grids1x1 minimum b 0.02 x x Unk XX x good unk unk XX XX XX noChange noChange 1100 c 0.66
Myotis brandtii BE ATL 5700 2.84 x x N/A N/A 17 grids1x1 minimum c 0.10 x x Unk XX x unk unk unk XX XX XX noChange noChange 1100 c 0.99
Myotis brandtii HU PAN 33782 85.21 u > N/A N/A 120 grids1x1 estimate c 57.97 u > Unk U1 x poor unk poor U1 U1 x U1 - noChange method 9700 c 83.62
Myotis brandtii UK ATL 144270 71.88 = 126401 N/A N/A 2662 grids1x1 minimum c 16.08 = x Y FV = good unk good FV FV = FV noChange noChange 90200 c 81.26
Myotis brandtii IT MED 1000 16.63 = x 20 200 N/A grids1x1 estimate c 3.37 x x Y FV = good unk good FV XX XX noChange noChange 100 b 3.03
Myotis brandtii IT ALP 2000 4.54 = x 45 450 N/A grids1x1 estimate c 3.53 x x Y FV = good unk good FV XX XX noChange noChange 900 b 3.33
Myotis brandtii DE CON 274838 61.92 = 274838 70954 70954 70954 grids1x1 estimate b 81.38 x > localities Unk U1 - unk unk unk XX U1 x U1 x noChange noChange 90700 c 54.77
Myotis brandtii DE ATL 41033 20.44 = 7257 7257 7257 grids1x1 minimum c 43.84 = > localities N Y U1 = unk unk unk XX U1 = U1 = noChange noChange 11800 c 10.63
Myotis brandtii DE ALP 1929 4.38 = 186 186 186 grids1x1 estimate d 2.65 x x localities Y FV = good unk good FV FV = XX method noChange 500 c 1.85
Myotis brandtii DK ATL 6 0 u x N/A N/A N/A d 0 u > Unk Unk XX u unk unk unk XX XX XX N/A N/A N/A b 0
Myotis capaccinii IT CON 10000 8.73 - > 800 5000 N/A i estimate b 15.02 - > Y U2 - poor bad bad U2 U2 - U2 - noChange noChange 800 c 4.62
Myotis capaccinii ES MED 35300 13.14 + > 5567 10400 N/A i mean a 11.55 = 10400 i Unk U1 u poor poor poor U1 U1 = U1 - knowledge knowledge 9700 a 6.20
Myotis capaccinii IT MED 76200 28.37 - > 6000 36000 N/A i estimate c 30.38 - > Y U2 - poor bad bad U2 U2 - U2 - noChange noChange 12100 c 7.73
Myotis capaccinii HR ALP 11600 23.34 x N/A N/A 2000 i minimum b 16.94 x > N Unk U1 x unk unk poor XX U1 x N/A N/A 8800 b 69.29
Myotis capaccinii SI ALP 4097 8.24 = N/A N/A 4 i minimum b 0.03 x x Y FV = good unk good FV FV = XX knowledge knowledge 400 b 3.15
Myotis capaccinii BG ALP 24200 48.70 = 24200 1000 13000 N/A i minimum b 59.30 = 8000 i Y FV = poor poor poor U1 U1 = U1 = noChange noChange 1700 b 13.39
Myotis capaccinii RO CON 5100 4.45 = 1500 2000 N/A i minimum b 9.06 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 1600 b 9.25
Myotis capaccinii RO ALP 1000 2.01 = 300 500 N/A i minimum b 3.39 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 200 b 1.57
Myotis capaccinii HR CON 5800 5.07 x > N/A N/A 150 i minimum b 0.78 x >> N Unk U1 x poor poor bad U2 U2 x N/A N/A 5600 b 32.37
Myotis capaccinii BG BLS 8600 100 = 8600 200 1000 N/A i minimum b 100 = 888 i Y FV = poor poor poor U1 U1 = FV method method 1400 b 100
Myotis capaccinii FR ALP 1600 0 - > N/A 10 N/A i mean b 0 - > N Unk XX = bad bad unk XX XX - N/A N/A noChange noChange 300 b 0
Myotis capaccinii HR MED 24200 9.01 x N/A N/A 16400 i minimum b 23.72 x N N U1 x poor unk poor U1 U1 x N/A N/A 22000 b 14.06
Myotis capaccinii RO STE 100 100 = 50 100 N/A i minimum c 100 = Y U1 = poor poor poor U1 U1 = U1 - knowledge knowledge 100 b 100
Myotis capaccinii FR MED 18800 7 = 11027 19460 N/A i estimate b 22.05 = < N Unk U2 - unk unk poor U2 U2 - U2 - noChange noChange 11900 b 7.60
Myotis capaccinii IT ALP 8800 17.71 - > 800 4000 N/A i estimate c 20.33 - > Y U2 - poor bad bad U2 U2 - U2 - noChange noChange 1600 c 12.60
Myotis capaccinii SI CON 7097 6.20 = N/A N/A 12 i minimum c 0.06 x x Y FV = good unk good FV FV = XX knowledge knowledge 800 b 4.62
Myotis capaccinii GR MED 114107 42.48 x 7000 10000 N/A i estimate b 12.30 x N Unk U1 x unk poor poor U1 U1 x U1 x noChange noChange 100800 b 64.41
Myotis capaccinii BG CON 86500 75.55 = 86500 12000 17000 N/A i minimum b 75.08 = 14750 i Y FV = poor poor poor U1 U1 = U1 = noChange noChange 8500 b 49.13
Myotis dasycneme PL CON 21800 14.39 x 1000 5000 N/A i estimate b 77.60 = x N Y U1 u unk unk unk XX U1 x U1 x noChange noChange 9500 b 21.25
Myotis dasycneme FR ATL 500 0.49 = >> 40 50 N/A i mean a 0.68 = >> Unk Unk XX = unk unk unk XX U2 = U2 - noChange noChange 500 a 1.08
Myotis dasycneme NL ATL 29200 28.74 x 4500 8000 N/A i estimate b 94.70 - > Y U1 - poor poor poor U1 U1 - FV genuine method 26200 b 56.83
Myotis dasycneme SE CON 6600 4.36 = 15000 150 450 300 i estimate c 7.76 = 1000 i Y FV = bad unk unk U2 U2 = U2 x noChange method 2100 c 4.70
Myotis dasycneme FI BOR N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 300 a 0
Myotis dasycneme CZ PAN 100 0 - >> N/A 1 N/A i estimate c 0 - N/ Y XX = bad bad good U2 U2 = U2 = noChange noChange N/A a 0
Myotis dasycneme RO PAN 1800 3.26 = 100 200 N/A i minimum b 84.99 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 600 b 4.58
Myotis dasycneme FR CON N/A 0 - >> N/A N/A N/A i estimate b 0 - >> Unk Unk XX x unk unk unk XX U2 - U2 x noChange noChange 100 a 0.22
Myotis dasycneme RO ALP 1800 26.72 = 200 400 N/A i minimum b 44.74 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 500 b 12.82
Myotis dasycneme CZ CON 800 0 - >> 1 10 N/A i estimate c 0 - >> Y FV = bad bad good U2 U2 = U2 = noChange noChange 800 a 0
Myotis dasycneme LU CON 100 0 x x 1 N/A N/A i minimum c 0 x x Unk XX x unk unk unk XX XX XX method noChange 100 c 0
Myotis dasycneme RO CON 5600 3.70 = 300 500 N/A i minimum b 10.35 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 1300 b 2.91
Myotis dasycneme EE BOR 46500 22.65 + 1200 2800 N/A i estimate b 16.32 + Y FV = good good good FV FV + U1 x knowledge knowledge 16000 a 34.12
Myotis dasycneme HR CON 3600 2.38 x >> N/A N/A 6 i minimum c 0.16 x >> N Unk U1 x unk bad bad U2 U2 x N/A N/A 3300 b 7.38
Myotis dasycneme PL ALP 2100 0 x x N/A N/A 9 i minimum b 0 x x Unk XX x unk unk unk XX XX XX noChange noChange 600 b 0
Myotis dasycneme LV BOR 64589 31.46 = 64589 5000 10000 N/A i estimate b 61.20 + 5000 i Y FV = good good poor U1 U1 + U1 - noChange noChange 7900 b 16.84
Myotis dasycneme UK ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A noChange noChange N/A d 0
Myotis dasycneme DK ATL 8680 8.54 = N/A N/A N/A d 0 u x Unk Y FV = good unk good FV FV x FV N/A N/A 1300 b 2.82
Myotis dasycneme HU PAN 52166 94.45 = N/A N/A N/A minimum c 0 u Y U1 - good poor poor U1 U1 x U1 = noChange method 11700 c 89.31
Myotis dasycneme BE CON 8100 5.35 + 160 270 160 i minimum a 4.14 u >> Unk XX x good poor unk U1 U2 x U2 x noChange genuine 3300 b 7.38
Myotis dasycneme BE ATL 19000 18.70 + 190 420 N/A i estimate c 4.62 u >> Unk XX x good poor unk U1 U2 x U2 - noChange method 4800 b 10.41
Myotis dasycneme SK PAN 1267.39 2.29 + 18 35 N/A i estimate c 15.01 + Y FV x good good good FV FV = XX knowledge knowledge 800 b 6.11
Myotis dasycneme SK ALP 4936.03 73.28 + 145 596 N/A i estimate c 55.26 + Y FV x good good good FV FV = XX knowledge knowledge 3400 b 87.18
Myotis dasycneme BG CON 100 0 u x N/A N/A N/A i minimum b 0 u N/ i Unk XX x unk unk unk XX XX x XX noChange method 100 b 0
Myotis dasycneme DE ATL 44234 43.53 = N/A N/A N/A i minimum b 0 - 159 grids5x5 N Unk U1 - good poor poor U1 U1 - U1 x noChange knowledge 13300 b 28.85
Myotis dasycneme DE CON 94262 62.22 = > N/A N/A N/A i estimate b 0 - > grids5x5 Unk U1 - poor unk unk XX U1 - U1 = noChange method 21200 b 47.43
Myotis dasycneme LT BOR 65200 31.76 = N/A N/A 1355 i estimate b 11.06 x > Y XX u good poor unk XX XX U1 = noChange noChange 16500 b 35.18
Myotis dasycneme DK CON 11545 7.62 = N/A N/A N/A d 0 u x Unk Y FV = good unk good FV FV x FV N/A N/A 3900 b 8.72
Myotis dasycneme SE BOR 29000 14.13 + 30000 700 2100 1400 i estimate c 11.42 + 1500 i Y FV = good poor unk U2 U2 + U2 x noChange genuine 6500 c 13.86
Myotis daubentonii SE BOR 236000 41.64 = 236000 N/A N/A 461 grids1x1 estimate c 0.43 = 1400000 i Y FV = good good good FV FV = FV noChange noChange 78300 c 47.77
Myotis daubentonii EE BOR 49700 8.77 + N/A N/A 1135 grids1x1 minimum b 1.05 = Y FV = good good good FV FV + FV noChange noChange 24700 a 15.07
Myotis daubentonii SK ALP 16528.58 10.97 = 699 699 N/A grids1x1 estimate c 0.58 + Y FV x good good good FV FV = XX knowledge knowledge 16600 b 21.59
Myotis daubentonii FR CON 81500 10.82 = 590000 650000 N/A grids1x1 mean c 80.24 - Y Y FV = good poor good U1 U1 - FV noChange noChange 57100 b 12.64
Myotis daubentonii HR ALP 2600 1.73 x >> N/A N/A 2 grids1x1 minimum b 0 x >> Unk XX x unk unk unk XX U2 x N/A N/A 1700 b 2.21
Myotis daubentonii HR CON 24100 3.20 x > N/A N/A 53 grids1x1 minimum b 0.01 x >> N Unk U1 x unk poor poor U1 U2 x N/A N/A 22500 b 4.98
Myotis daubentonii HR MED 900 0 x x N/A N/A 1 grids1x1 minimum c 0 x x Unk XX x unk unk poor XX XX N/A N/A 800 b 0
Myotis daubentonii FR MED 34400 10.65 = 17000 18000 N/A grids1x1 mean c 23.81 - Y Y FV = good good poor U1 U1 - FV knowledge noChange 24400 b 19.52
Myotis daubentonii LT BOR 65200 11.50 x N/A N/A 498 grids1x1 minimum c 0.46 x x Unk XX x good unk unk XX XX U1 = noInfo noInfo 24200 b 14.77
Myotis daubentonii HU PAN 71986 86.70 = N/A N/A 464 grids1x1 minimum c 52.37 u Y U1 - good good poor U1 U1 x U1 = noChange method 19300 b 69.93
Myotis daubentonii IE ATL 74200 13 = 74200 N/A N/A 1580 grids1x1 minimum b 0.02 + 57000 adults Y FV = good good good FV FV + FV noChange noChange 59700 b 15.17
Myotis daubentonii FI BOR 151300 26.69 = 723 151300 N/A grids1x1 estimate b 70.51 = Y FV x good good good FV FV = FV noChange noChange 27600 a 16.84
Myotis daubentonii LU CON 4000 0.53 = N/A N/A 1750 grids1x1 estimate c 0.23 u Y FV = good good good FV FV = FV noChange noChange 2600 c 0.58
Myotis daubentonii GR MED 40925 12.67 x x N/A N/A 27729 grids1x1 estimate b 37.73 x x Unk XX x unk unk unk XX XX XX noChange noChange 29400 b 23.52
Myotis daubentonii RO STE 200 100 = 250 500 N/A grids1x1 minimum b 100 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 200 b 100
Myotis daubentonii RO CON 9500 1.26 = 1000 2500 N/A grids1x1 minimum b 0.23 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 3900 b 0.86
Myotis daubentonii RO ALP 5900 3.92 = 500 1500 N/A grids1x1 minimum b 0.83 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 2000 b 2.60
Myotis daubentonii DE CON 288609 38.32 = 288609 119141 119141 119141 grids1x1 estimate b 15.42 = localities Y FV = good good good FV FV = FV noChange noChange 193100 c 42.74
Myotis daubentonii UK ATL 209279 36.67 = 209279 N/A N/A 5441 grids1x1 minimum a 0.06 = Y FV = good unk good FV FV = FV noChange noChange 146700 a 37.27
Myotis daubentonii BE CON 13700 1.82 = N/A N/A 444 grids1x1 minimum b 0.06 = Y XX x good good good FV FV = U1 - method knowledge 10100 b 2.24
Myotis daubentonii BE ATL 20700 3.63 + N/A N/A 739 grids1x1 estimate b 0.01 u x Y FV = good unk good FV FV = U2 - method method 14600 b 3.71
Myotis daubentonii DE ATL 70324 12.32 = 70324 15995 15995 15995 grids1x1 minimum b 0.19 = 487 localities Y FV = good good good FV FV = FV noChange noChange 35600 c 9.04
Myotis daubentonii PT ATL 1800 0.32 = 1800 N/A N/A 4 grids1x1 minimum b 0 x x Unk XX x good unk unk XX XX XX noChange knowledge 400 b 0.10
Myotis daubentonii PT MED 38900 12.04 = 38900 N/A N/A 237 grids1x1 minimum b 0.32 x x Unk XX x good unk unk XX XX XX noChange N/A 12900 b 10.32
Myotis daubentonii DE ALP 3764 2.50 = 3764 2139 2139 2139 grids1x1 estimate b 1.77 x x localities Y FV = good unk good FV FV = FV noChange noChange 2700 c 3.51
Myotis daubentonii SI CON 12616 1.67 = 12616 68 77 N/A grids1x1 estimate b 0.01 u Y FV = good poor good U1 U1 = XX knowledge knowledge 4600 b 1.02
Myotis daubentonii LV BOR 64589 11.40 = 64589 20354 39030 N/A grids1x1 estimate c 27.54 = 20354 grids1x1 Y XX x good good unk FV FV = FV noChange noChange 9100 b 5.55
Myotis daubentonii SI ALP 7656 5.08 = 7656 31 40 N/A grids1x1 estimate a 0.03 u Y FV = good poor good U1 U1 = XX knowledge noChange 3000 b 3.90
Myotis daubentonii FR ALP 17500 11.62 = 90000 130000 N/A grids1x1 mean b 90.81 = Y FV = good good good FV FV = FV noChange noChange 10900 b 14.17
Myotis daubentonii SE CON 25100 3.33 = 25100 N/A N/A 218 grids1x1 estimate c 0.03 = 75000 i Y FV = good good good FV FV = FV noChange noChange 13000 c 2.88
Myotis daubentonii PL CON 65200 8.66 = N/A N/A 21600 grids1x1 minimum c 2.80 - N Y U1 - good poor poor U1 U1 - FV genuine genuine 21200 b 4.69
Myotis daubentonii IT MED 46200 14.30 = 800 8000 N/A grids1x1 estimate c 5.99 = N Y U1 - good good poor FV U1 - U2 - noChange noChange 8700 c 6.96
Myotis daubentonii IT CON 64800 8.60 = 160 1600 N/A grids1x1 estimate c 0.11 = Y U1 - good good poor U1 U1 - U1 = noChange noChange 14900 c 3.30
Myotis daubentonii PL ALP 6500 4.31 = N/A N/A 2000 grids1x1 minimum c 1.65 x Y FV x good unk good FV FV x FV noChange noInfo 2000 b 2.60
Myotis daubentonii IT ALP 45900 30.47 = 430 4300 N/A grids1x1 estimate c 1.95 = Y U1 - good good poor U1 U1 - U1 = noChange noChange 11500 c 14.95
Myotis daubentonii CZ CON 83900 11.14 = 6433 6433 N/A grids1x1 estimate a 0.83 = Y FV = good good good FV FV = FV noChange noChange 58900 a 13.04
Myotis daubentonii CZ PAN 5800 6.99 = 136 136 N/A grids1x1 estimate a 15.35 = Y FV = good good good FV FV = FV noChange noChange 1900 a 6.88
Myotis daubentonii ES ATL 38000 6.66 = > 151 15100 N/A grids1x1 estimate b 0.09 = 104 localities Y U1 x poor poor poor U1 U1 - U1 - noChange noChange 13900 a 3.53
Myotis daubentonii ES ALP 12900 8.56 + > 51 5100 N/A grids1x1 minimum b 2.13 x 18 localities Y U1 = poor unk poor U1 U1 = U1 + noChange knowledge 3600 a 4.68
Myotis daubentonii ES MED 162700 50.35 = > 468 46800 N/A grids1x1 minimum b 32.16 x 187 localities Y U1 x good unk poor U1 U1 = U1 = noChange noChange 49600 a 39.68
Myotis daubentonii AT ALP 20000 13.28 = 313 N/A N/A grids1x1 minimum b 0.26 + Y FV = good good good FV FV + FV noChange genuine 16400 b 21.33
Myotis daubentonii AT CON 20100 2.67 = 333 N/A N/A grids1x1 minimum b 0.04 = Y FV = good good good FV FV = FV noChange noChange 14000 b 3.10
Myotis daubentonii DK ATL 11568 2.03 = N/A N/A N/A d 0 u x Y FV = good unk good FV FV x FV N/A N/A 3000 c 0.76
Myotis daubentonii DK CON 26586 3.53 = N/A N/A N/A d 0 u x Y FV = good unk good FV FV = FV N/A N/A 12000 c 2.66
Myotis daubentonii FR ATL 104800 18.36 = 7000000 10000000 N/A grids1x1 mean a 99.61 - Y Y FV = good poor good U1 U1 - FV noChange noChange 82400 b 20.93
Myotis daubentonii BG CON 33500 4.45 = 33500 N/A N/A 25 grids1x1 minimum b 0 = 25 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange method 23900 b 5.29
Myotis daubentonii BG BLS 9600 100 = 9600 N/A N/A 6 grids1x1 minimum b 100 = 6 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange method 8000 b 100
Myotis daubentonii BG ALP 11400 7.57 = 11400 N/A N/A 9 grids1x1 minimum b 0.01 = 9 grids1x1 Y FV = good good good FV FV = FV noChange method 6500 b 8.45
Myotis daubentonii NL ATL 40000 7.01 = N/A N/A 1542 grids1x1 estimate b 0.02 = Y XX x good good unk FV FV = FV noChange method 37300 b 9.48
Myotis daubentonii SK PAN 5246.59 6.32 = 286 286 N/A grids1x1 estimate c 32.28 + Y FV x good good good FV FV = XX knowledge knowledge 6400 b 23.19
Myotis emarginatus ES ATL 38400 24 = 400 N/A N/A i minimum b 1.07 = 1000 i Y U1 = poor poor poor U1 U1 - U1 - N/A N/A 9000 a 12.03
Myotis emarginatus BG CON 89600 22.59 = 89600 1700 17000 N/A i minimum b 7.73 = 12000 i Y FV = poor poor poor U1 U1 = FV method method 11700 b 8.80
Myotis emarginatus PL CON 10900 2.75 = x N/A N/A 2600 i minimum b 2.15 + x Y U1 - poor poor poor U1 U1 - U1 + noChange genuine 2800 b 2.11
Myotis emarginatus GR MED 124869 31.54 x 5000 10000 N/A i estimate b 9.89 x Unk XX x unk poor poor U1 U1 x U1 x noChange noChange 129900 b 59.83
Myotis emarginatus AT CON 9200 2.32 = > N/A N/A 2900 i estimate a 2.40 - > Y U1 - good poor poor U1 U1 - U1 + noChange genuine 7500 b 5.64
Myotis emarginatus SK PAN 1551.86 4.39 = 8 216 N/A i estimate b 10.07 + Y FV x good good good FV FV = XX knowledge knowledge 1400 b 12.73
Myotis emarginatus AT ALP 12100 8.42 = > N/A N/A 3500 i estimate a 13.42 - > Y U1 - good poor poor U1 U1 - U1 + noChange genuine 9300 b 18.75
Myotis emarginatus ES MED 85000 21.47 = 5666 8538 N/A i estimate b 9.37 = 8538 i Y U1 = good poor poor FV U1 = U1 - knowledge knowledge 20400 a 9.40
Myotis emarginatus CZ CON 43200 10.89 + 4000 7000 N/A i estimate a 4.55 + Y FV = good good good FV FV + FV noChange noChange 18800 a 14.14
Myotis emarginatus CZ PAN 5300 14.99 = 500 1500 N/A i estimate a 89.93 = Y FV = good good good FV FV = FV noChange noChange 1300 a 11.82
Myotis emarginatus FR CON 81600 20.57 = 31200 33000 N/A i mean a 26.55 + Y Y FV = good good unk FV FV + U1 x noChange noChange 39300 b 29.55
Myotis emarginatus SK ALP 10656.46 7.42 = 1666 3713 N/A i estimate b 10.31 + Y FV x good good good FV FV = XX knowledge knowledge 8900 b 17.94
Myotis emarginatus BG ALP 25200 17.54 = 25200 100 700 N/A i minimum b 1.53 = 655 i Y FV = poor poor poor U1 U1 = FV method method 4100 b 8.27
Myotis emarginatus RO ALP 2100 1.46 = 1000 1500 N/A i minimum b 4.79 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 1100 b 2.22
Myotis emarginatus RO CON 6700 1.69 = 1500 2000 N/A i minimum b 1.45 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 2700 b 2.03
Myotis emarginatus DE CON 38244 9.64 = 5426 6016 5686 i mean a 4.70 - > localities N Unk U1 - good poor poor U1 U1 - U1 - noChange noChange 11900 c 8.95
Myotis emarginatus FR MED 44400 11.22 = 13705 32892 N/A i estimate a 30.73 = Y U1 - good good poor U1 U1 - U1 = noChange noChange 22500 b 10.36
Myotis emarginatus DE ATL 2169 1.36 = >> N/A N/A N/A i estimate b 0 - >> localities N Y U1 - bad bad poor U2 U2 - U2 = noChange genuine 800 c 1.07
Myotis emarginatus SI ALP 7656 5.33 = 7656 N/A N/A 41 i minimum a 0.16 + Y U1 - good good poor U1 U1 - U1 - noChange noChange 3200 b 6.45
Myotis emarginatus BE ATL 15000 9.38 = >> 2600 3000 N/A i estimate a 7.48 + 1000 i N Unk XX x poor good unk U1 U2 = U2 - noChange genuine 5900 b 7.89
Myotis emarginatus BE CON 13300 3.35 = 2000 4000 N/A i estimate a 2.48 + > Y FV = good good poor U1 U1 + U1 + noChange noChange 6600 b 4.96
Myotis emarginatus DE ALP 1751 1.22 = N/A N/A N/A d 0 x x localities Y XX u good poor unk U1 U1 x XX method noChange 600 c 1.21
Myotis emarginatus UK ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A noChange noChange N/A d 0
Myotis emarginatus PT ATL 600 0.38 = 700 N/A N/A N/A minimum b 0 x x Unk XX x good unk unk XX XX U1 x knowledge noChange 200 b 0.27
Myotis emarginatus NL ATL 2500 1.56 x 1000 2500 N/A i estimate a 4.67 + N N U2 - poor good bad U2 U2 x U2 + noChange knowledge 1500 b 2.01
Myotis emarginatus HU PAN 28509 80.62 - N/A N/A N/A minimum b 0 - > Y U1 - poor poor poor U1 U1 - FV genuine genuine 8300 b 75.45
Myotis emarginatus PT MED 12900 3.26 = 12900 N/A N/A N/A minimum b 0 u x Unk XX - good good unk FV FV x U2 x knowledge noChange 3900 b 1.80
Myotis emarginatus FR ATL 101300 63.32 = 30000 35000 N/A i mean a 86.78 + Y Y FV = good good unk FV FV + U1 + noChange noChange 57400 b 76.74
Myotis emarginatus IT MED 101600 25.67 = 7000 41000 N/A i estimate c 31.66 = Y FV = good poor poor U1 U1 = U1 - noChange noChange 14600 c 6.73
Myotis emarginatus IT CON 73600 18.56 = 9000 90000 N/A i estimate c 40.94 = Y FV = good poor poor U1 U1 = U1 - noChange noChange 11800 c 8.87
Myotis emarginatus IT ALP 47400 32.99 = 2600 26000 N/A i estimate c 54.82 = Y FV = good poor poor U1 U1 = U1 - noChange noChange 8300 c 16.73
Myotis emarginatus PL ALP 8300 5.78 + N/A N/A 1350 i minimum b 5.18 + x Y FV = good good unk FV FV + XX genuine genuine 2200 b 4.44
Myotis emarginatus RO STE 200 100 = 50 300 N/A i minimum b 100 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 200 b 100
Myotis emarginatus SI CON 12412 3.13 = N/A N/A 55 i minimum a 0.05 + N Unk U2 - good good bad U2 U2 - U1 x knowledge knowledge 3700 b 2.78
Myotis emarginatus FR ALP 13700 9.54 = 1500 2500 N/A i mean b 7.67 = Y Y FV = good good unk U1 U1 = U1 = noChange noChange 5900 b 11.90
Myotis emarginatus LU CON 3300 0.83 = 3500 5000 N/A i estimate b 3.51 = 5000 i N N U1 - good good poor U1 U1 - U1 = noChange method 2300 b 1.73
Myotis emarginatus HR MED 20100 5.08 x > N/A N/A 13270 i minimum b 17.50 x N Unk U1 x good poor poor U1 U1 x N/A N/A 19300 b 8.89
Myotis emarginatus BG BLS 8000 100 = 8000 200 1500 N/A i minimum b 100 = 1200 i Y FV = poor poor poor U1 U1 = FV method method 1400 b 100
Myotis emarginatus HR CON 14600 3.68 x >> N/A N/A 4225 i minimum b 3.49 x > N Unk U1 x poor poor poor U1 U2 x N/A N/A 13900 b 10.45
Myotis emarginatus HR ALP 5800 4.04 x > N/A N/A 44 i minimum b 0.17 x >> N Unk XX x unk unk unk XX U2 x N/A N/A 4300 b 8.67
Myotis emarginatus ES ALP 9000 6.26 = 510 N/A 510 i estimate a 1.96 = 510 i Y U1 = good poor poor U1 U1 = U2 - knowledge knowledge 1700 a 3.43
Myotis emarginatus CY MED 6984 1.76 x 275 1000 N/A i estimate c 0.84 x x Y U1 = good unk poor U1 U1 x XX knowledge noChange 6500 c 2.99
Myotis myotis HR CON 27200 3.28 x > N/A N/A 5740 i minimum b 0.51 x N Unk U1 x poor unk poor U1 U1 x N/A N/A 26300 b 5.87
Myotis myotis AT ALP 26200 13.45 = N/A N/A 18500 i estimate a 17.27 = Y FV = good good poor U1 U1 = U1 + noChange genuine 19000 b 21.71
Myotis myotis AT CON 20500 2.47 = N/A N/A 30000 i estimate a 2.69 + Y FV = good good good FV FV + FV noChange genuine 14200 b 3.17
Myotis myotis BE ATL 3500 1.71 - >> 2 10 2 i estimate a 0.01 u >> Unk XX x bad bad unk U2 U2 x U2 - noChange method 600 a 0.61
Myotis myotis BE CON 13899 1.68 = 1250 2500 1250 i estimate b 0.11 + > Y FV x good good good FV U1 = U1 + noChange noChange 8500 a 1.90
Myotis myotis BG ALP 24800 12.73 = 24800 4000 4500 N/A i minimum b 3.97 = 4000 i Y FV = poor poor poor U1 U1 = U1 = noChange noChange 5900 b 6.74
Myotis myotis BG BLS 8300 100 = 8300 100 2500 N/A i minimum b 100 = 1800 i Y FV = poor poor poor U1 U1 = FV method method 1100 b 100
Myotis myotis BG CON 92100 11.11 = 92100 2000 22000 N/A i minimum b 1.08 = 18000 i Y FV = poor poor poor U1 U1 = U1 = noChange noChange 19200 b 4.28
Myotis myotis CZ CON 82500 9.95 = 40000 50000 N/A i estimate a 4.03 + Y FV = good good good FV FV + FV noChange noChange 56100 a 12.52
Myotis myotis CZ PAN 5800 6.70 = 1000 2500 N/A i estimate a 67.22 + Y FV = good good good FV FV + FV noChange noChange 2100 a 8.54
Myotis myotis DE ALP 3671 1.88 = N/A N/A N/A i estimate a 0 = localities Y FV = good good good FV FV = FV noChange noChange 3300 c 3.77
Myotis myotis DE ATL 40177 19.66 = N/A N/A N/A i estimate b 0 = > localities Unk XX x good poor unk U1 U1 = U1 + noChange knowledge 15900 c 16.22
Myotis myotis DE CON 278452 33.59 = 278452 500000 1000000 823991 i estimate b 73.88 = localities Y U1 - good good unk FV U1 - FV genuine genuine 214400 c 47.84
Myotis myotis ES ALP 6500 3.34 x 1000 N/A N/A i estimate a 0.93 x 1000 i Y XX - good poor poor U1 U1 = U1 - knowledge knowledge 1100 a 1.26
Myotis myotis ES ATL 38300 18.74 = 443 N/A N/A i minimum a 1.34 = 443 i Y FV = good poor poor U1 U1 = U1 - knowledge knowledge 9500 a 9.69
Myotis myotis ES MED 242500 46.57 = 86344 90595 N/A i estimate a 56.40 = 90595 i Y FV = good poor poor U1 U1 = U1 = knowledge knowledge 64900 a 30.90
Myotis myotis FR ALP 18000 9.24 = 1000 5000 N/A i mean a 2.80 + Y Unk FV = good good poor U1 U1 + U1 = noChange noChange 7900 a 9.03
Myotis myotis FR ATL 120800 59.11 = 30000 35000 N/A i mean a 98.53 + Y Y FV = good good poor U1 U1 + U1 x noChange noChange 70600 a 72.04
Myotis myotis FR CON 113000 13.63 = 72000 80000 N/A i mean a 6.81 + Y Y FV = good good poor U1 U1 + U1 = noChange noChange 55300 a 12.34
Myotis myotis FR MED 21400 4.11 = 4000 5000 N/A i mean a 2.87 = Y FV = good good poor U1 U1 = U1 = noChange noChange 9900 a 4.71
Myotis myotis GR MED 108816 20.90 x 1000 5000 N/A i estimate b 1.91 x Unk XX x unk poor poor U1 U1 x U1 x noChange noChange 86900 b 41.38
Myotis myotis HR ALP 11100 5.70 x N/A N/A 305 i minimum b 0.28 x >> Unk U1 x unk poor poor U1 U2 x N/A N/A 8400 b 9.60
Myotis myotis HR MED 21400 4.11 x > N/A N/A 11400 i minimum b 7.27 x N Unk U1 x good unk poor U1 U1 x N/A N/A 19600 b 9.33
Myotis myotis HU PAN 76859 88.84 - > N/A N/A N/A minimum b 0 - > Y U1 - poor poor poor U1 U1 - U1 = noChange genuine 18100 a 73.58
Myotis myotis IT ALP 47500 24.38 = > 8000 80000 N/A i estimate c 41.06 = Y U1 - good poor poor U1 U1 - U1 - noChange noChange 9500 c 10.86
Myotis myotis IT CON 69500 8.38 = > 6000 60000 N/A i estimate c 2.96 = Y U1 - good poor poor U1 U1 - U1 - noChange noChange 10700 c 2.39
Myotis myotis IT MED 91500 17.57 = > 9000 90000 N/A i estimate c 31.55 = Y U1 - good poor poor U1 U1 - U1 - noChange noChange 19000 c 9.05
Myotis myotis LU CON 3900 0.47 = 3500 5000 N/A i estimate b 0.38 + 5000 i Y U1 = good good poor U1 U1 + U1 - noChange genuine 2900 c 0.65
Myotis myotis NL ATL 1300 0.64 x 25 55 N/A i estimate a 0.12 u Unk XX x unk good unk XX XX U1 + method noInfo 1200 b 1.22
Myotis myotis PL ALP 10500 5.39 = 10000 20000 N/A i estimate c 14 x N Y U1 - good unk poor U1 U1 x FV genuine genuine 3600 b 4.11
Myotis myotis PL CON 88900 10.73 + 50000 100000 N/A i estimate c 6.72 + 30000 i Y XX u good good unk FV FV = FV noChange knowledge 26300 b 5.87
Myotis myotis PT ATL 300 0.15 = 300 N/A N/A N/A minimum b 0 x x Unk XX x good unk unk XX XX U1 x knowledge noChange 200 b 0.20
Myotis myotis PT MED 35100 6.74 = 35100 N/A N/A N/A minimum b 0 u x Unk XX - good good unk FV FV x U1 x knowledge noChange 9700 b 4.62
Myotis myotis RO ALP 17900 9.19 = 5000 10000 N/A i minimum b 7 = Y FV = good good good FV FV = U1 = knowledge knowledge 4000 b 4.57
Myotis myotis RO CON 23300 2.81 = 7000 10000 N/A i minimum b 0.76 = Y FV = good good good FV FV = U1 = knowledge knowledge 7400 b 1.65
Myotis myotis SE CON 3000 0.36 u 15000 250 750 500 i estimate c 0.04 u 1000 i Unk XX x bad bad unk U2 U2 x U2 x noChange knowledge 1200 b 0.27
Myotis myotis SI ALP 7656 3.93 = N/A N/A 36 i minimum a 0.03 + N Unk U2 - good good bad U2 U2 - U2 x noChange knowledge 3200 b 3.66
Myotis myotis SI CON 12616 1.52 = 12616 N/A N/A 95 i minimum a 0.01 + N Unk U2 - good good bad U2 U2 - U2 x noChange knowledge 5700 b 1.27
Myotis myotis SK ALP 21014.63 10.79 = 4727 22392 N/A i estimate b 12.65 + Y FV x good good good FV FV = U1 - knowledge knowledge 21600 b 24.69
Myotis myotis SK PAN 3855.99 4.46 = 94 1613 N/A i estimate b 32.78 + Y FV x good good good FV FV = U1 - knowledge N/A 4400 b 17.89
Myotis myotis UK ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A noChange noChange N/A d 0
Myotis mystacinus RO ALP 2500 1.73 = 150 300 N/A grids1x1 minimum b 1.10 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 1000 b 1.36
Myotis mystacinus NL ATL 15200 4.19 = N/A N/A 232 grids1x1 estimate c 0.36 - x Unk XX x good poor unk U1 U1 x U1 x noChange noChange 12100 b 5.78
Myotis mystacinus AT ALP 29900 20.65 = 351 N/A N/A grids1x1 minimum b 1.72 x x Y FV = good good good FV FV = FV noChange noChange 21600 b 29.39
Myotis mystacinus AT CON 22900 4.12 = 282 N/A N/A grids1x1 minimum b 0.25 x x Y FV = good good good FV FV = FV noChange noChange 15600 b 5.83
Myotis mystacinus BG ALP 16200 11.19 = 16200 N/A N/A 18 grids1x1 minimum b 0.09 = 18 grids1x1 Y FV = good good good FV FV = FV noChange knowledge 12100 b 16.46
Myotis mystacinus BG BLS 1800 100 = 1800 N/A N/A 3 grids1x1 minimum b 100 = 3 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange knowledge 1200 b 100
Myotis mystacinus HU PAN 38313 86.34 = > N/A N/A 53 grids1x1 estimate c 34.42 u > Unk U2 x poor bad bad U2 U2 x U1 = knowledge knowledge 4300 c 61.43
Myotis mystacinus DK CON 100 0.02 u > N/A N/A N/A d 0 u > N Unk XX u poor unk unk XX U1 x FV N/A N/A 100 b 0.04
Myotis mystacinus SI ALP 7656 5.29 = 7656 32 39 N/A grids1x1 estimate c 0.17 u > Y XX x good poor unk U1 U1 x XX knowledge noChange 2300 b 3.13
Myotis mystacinus SE BOR 151500 53.96 u 151500 N/A N/A 293 grids1x1 estimate c 0.54 u 120000 i Y FV = good good good FV FV x U2 - knowledge noChange 18200 b 70.54
Myotis mystacinus SE CON 25100 4.51 u 25100 N/A N/A 74 grids1x1 estimate c 0.07 u 10000 i Unk Unk XX x unk unk unk XX U1 x U2 - knowledge noChange 4400 b 1.64
Myotis mystacinus BG CON 29900 5.37 = 29900 N/A N/A 12 grids1x1 minimum b 0.01 = 12 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange knowledge 22100 b 8.25
Myotis mystacinus FR MED 8600 17.88 x x 6700 6700 N/A grids1x1 mean d 62.88 x x Unk Unk XX = unk unk poor XX XX x XX noChange noChange 5300 b 33.54
Myotis mystacinus SK PAN 1161 2.62 = 22 22 N/A grids1x1 estimate c 14.29 x Y FV x good good good FV U1 x XX knowledge N/A 1400 b 20
Myotis mystacinus PL ALP 10300 7.11 = N/A N/A 6600 grids1x1 minimum b 32.38 = x Y FV = good good good FV FV = FV noChange noChange 2400 b 3.27
Myotis mystacinus FR CON 52500 9.44 = 35700 35700 N/A grids1x1 mean c 31.61 + Y Y FV = good good good FV FV + FV noChange noChange 37300 b 13.93
Myotis mystacinus CZ PAN 4900 11.04 = 79 79 N/A grids1x1 estimate a 51.30 = > Y FV = good poor good FV U1 = U1 = noChange noChange 1300 a 18.57
Myotis mystacinus CZ CON 78800 14.16 = 3148 3148 N/A grids1x1 estimate a 2.79 = > Y FV = good poor good FV U1 = U1 = noChange noChange 39400 a 14.71
Myotis mystacinus LU CON 4000 0.72 x N/A N/A 1900 grids1x1 estimate c 1.68 x x Y U1 - good unk poor U1 U1 x XX method noChange 3100 b 1.16
Myotis mystacinus HR ALP 3000 0 x >> N/A N/A 18 grids1x1 minimum c 0 x >> N Unk U1 N unk unk poor XX U2 x N/A N/A 2500 b 0
Myotis mystacinus SK ALP 10971.13 7.58 = 241 241 N/A grids1x1 estimate c 1.18 = Y FV x good good good FV FV = XX knowledge knowledge 11500 b 15.65
Myotis mystacinus DE ALP 3776 2.61 = 907 907 907 grids1x1 estimate b 4.45 x x grids5x5 Y FV = good unk good FV FV = FV noChange noChange 2600 c 3.54
Myotis mystacinus IE ATL 27000 7.45 = 27000 N/A N/A 185 grids1x1 minimum b 0.29 = 270 grids10x10 Y FV = good good good FV FV = FV noChange noChange 12500 b 5.97
Myotis mystacinus PL CON 25100 4.51 = N/A N/A 8900 grids1x1 minimum b 7.88 = x Y FV = good good good FV FV = FV noChange noChange 8500 b 3.17
Myotis mystacinus SI CON 12616 2.27 = 12616 38 45 N/A grids1x1 mean c 0.04 u > Y XX x good poor unk U1 U1 x XX knowledge noChange 3100 b 1.16
Myotis mystacinus FR ATL 77100 21.27 = 53700 53700 N/A grids1x1 mean c 82.87 + Y Y FV = good good good FV FV + FV noChange noChange 60500 b 28.89
Myotis mystacinus IT ALP 39600 27.35 = 380 3800 N/A grids1x1 estimate c 10.25 = Y FV = good good good FV FV = FV noChange noChange 8800 b 11.97
Myotis mystacinus IT CON 28300 5.09 = 330 3300 N/A grids1x1 estimate c 1.61 = Y FV + good good good FV FV + FV noChange noChange 5600 b 2.09
Myotis mystacinus IT MED 17300 35.97 = 220 2200 N/A grids1x1 estimate c 11.36 = Y FV = good good good FV FV = FV noChange noChange 4200 b 26.58
Myotis mystacinus BE CON 11900 2.14 = N/A N/A 256 grids1x1 minimum b 0.23 + Y FV x good good unk FV FV = FV noChange genuine 5500 b 2.05
Myotis mystacinus FR ALP 11800 8.15 = 7300 9500 N/A grids1x1 mean d 41.21 = Y Y FV = good good good FV FV = FV noChange noChange 8300 b 11.29
Myotis mystacinus BE ATL 18400 5.08 = N/A N/A 362 grids1x1 estimate b 0.56 u x Unk XX x good unk unk XX XX FV method method 9900 b 4.73
Myotis mystacinus DE CON 254136 45.68 = 60422 60422 60422 grids1x1 estimate b 53.49 - grids5x5 Unk U1 - good unk poor U1 U1 - FV genuine genuine 113700 c 42.46
Myotis mystacinus RO CON 2800 0.50 = 250 500 N/A grids1x1 minimum b 0.33 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 1200 b 0.45
Myotis mystacinus PT MED 3800 7.90 = 3800 N/A N/A 19 grids1x1 minimum b 0.18 x x Unk XX x good unk unk XX XX U2 x knowledge noChange 1400 b 8.86
Myotis mystacinus PT ATL N/A 0 N N/ N/A N/A 2 grids1x1 minimum b 0 x x Unk XX x good unk unk XX XX XX N/A N/A 100 b 0
Myotis mystacinus GR MED N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Myotis mystacinus LV BOR 64589 23 x 64589 N/A N/A 22310 grids1x1 estimate c 41.17 x 22310 grids1x1 Y XX x good unk unk XX XX XX noChange noChange 100 d 0.39
Myotis mystacinus EE BOR 1700 0.61 u > N/A N/A 50 grids1x1 minimum b 0.09 x x Unk XX x good good good FV XX XX knowledge knowledge 1200 a 4.65
Myotis mystacinus UK ATL 171942 47.42 = 155969 N/A N/A 2834 grids1x1 minimum c 4.37 = x Y FV = good unk good FV FV = FV noChange noChange 100100 b 47.80
Myotis mystacinus ES ALP 12100 8.36 = > 30 3000 N/A grids1x1 minimum b 7.43 x 21 localities Y U1 x unk unk good XX U1 = U1 = noChange noChange 2900 a 3.95
Myotis mystacinus FI BOR 63000 22.44 = 83 63000 N/A grids1x1 estimate b 58.20 x x Unk XX x good unk unk XX XX XX noChange noChange 6300 a 24.42
Myotis mystacinus ES ATL 10000 2.76 + > 29 2900 N/A grids1x1 minimum b 2.26 x 45 localities Y FV x poor unk good XX U1 + U1 + noChange noChange 3100 a 1.48
Myotis mystacinus ES MED 18400 38.25 + > 54 5400 N/A grids1x1 minimum b 25.59 x 32 localities Unk XX x unk unk unk XX U1 = U1 + noChange knowledge 4900 a 31.01
Myotis mystacinus HR MED 4300 0 x >> N/A N/A 18 grids1x1 minimum c 0 x >> Unk XX N unk unk unk XX U2 x N/A N/A 3700 b 0
Myotis mystacinus HR CON 8200 1.47 x >> N/A N/A 26 grids1x1 minimum c 0.02 x >> N Unk XX x unk unk poor XX U2 x N/A N/A 8200 b 3.06
Myotis mystacinus DE ATL 42915 11.84 = 6025 6025 6025 grids1x1 estimate b 9.30 u grids5x5 Unk XX = unk unk unk XX XX = U1 + noInfo knowledge 11200 c 5.35
Myotis nattereri CY MED 8242 2.45 x N/A N/A 30 grids1x1 estimate c 0.01 x x Y U1 = good unk poor U1 U1 x FV knowledge noChange 9900 b 6.40
Myotis nattereri HR MED 4700 1.40 x >> N/A N/A 15 grids1x1 minimum c 0.01 x >> N Unk XX x unk unk unk XX U2 x N/A N/A 4100 b 2.65
Myotis nattereri SI CON 12616 2.04 = 12616 20 25 N/A grids1x1 estimate c 0.01 u Y XX x good poor unk U1 U1 x FV knowledge noChange 1800 b 0.51
Myotis nattereri HR CON 4800 0.78 x >> N/A N/A 15 grids1x1 minimum c 0.01 x >> N Unk XX x unk unk unk XX U2 x N/A N/A 4900 b 1.38
Myotis nattereri HR ALP 2600 2.67 x >> N/A N/A 9 grids1x1 minimum b 0.01 x >> N Unk XX x unk unk unk XX U2 x N/A N/A 2300 b 4.44
Myotis nattereri LV BOR 64589 25.69 = 64589 N/A N/A 35430 grids1x1 estimate c 90.16 x Y XX x good good unk FV FV x U1 - knowledge noChange 1800 c 4.72
Myotis nattereri DK ATL 100 0.02 u > N/A N/A N/A d 0 u > Unk Unk XX u poor unk unk XX XX XX N/A N/A 100 b 0.04
Myotis nattereri PL CON 76800 12.41 = N/A N/A 23700 grids1x1 estimate c 8.22 + Y FV = good good good FV FV + FV noChange noChange 23500 b 6.62
Myotis nattereri DK CON 1538 0.25 = N/A N/A N/A d 0 u > Unk Y XX u good poor unk U1 U1 x XX N/A N/A 1700 b 0.48
Myotis nattereri HU PAN 37341 83.78 u > N/A N/A 140 grids1x1 estimate c 69.65 u > Unk U1 u poor unk poor U1 U1 x U1 - noChange method 9100 c 76.47
Myotis nattereri UK ATL 166441 38.15 = 166441 N/A N/A 3629 grids1x1 minimum a 0.95 = Y FV = good unk good FV FV = FV noChange noChange 116600 a 44.30
Myotis nattereri SK ALP 8425.70 8.66 - 147 147 N/A grids1x1 estimate c 0.21 x Y FV x poor good good FV FV x XX knowledge N/A 7100 b 13.71
Myotis nattereri IE ATL 46400 10.64 = 46400 N/A N/A 321 grids1x1 minimum b 0.08 = 464 grids10x10 Y FV = good good good FV FV = FV noChange noChange 20600 b 7.83
Myotis nattereri SK PAN 1729.91 3.88 + 22 22 N/A grids1x1 estimate c 10.95 x Y FV x good good good FV FV x U1 - knowledge knowledge 1600 b 13.45
Myotis nattereri RO CON 3000 0.48 = 300 500 N/A grids1x1 minimum b 0.14 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 1400 b 0.39
Myotis nattereri BG ALP 16200 16.64 = 16200 N/A N/A 17 grids1x1 minimum b 0.02 = 17 grids1x1 Y FV = poor poor poor U1 U1 = FV noChange method 11900 b 22.97
Myotis nattereri RO ALP 1800 1.85 = 250 400 N/A grids1x1 minimum b 0.46 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 800 b 1.54
Myotis nattereri EE BOR 6500 2.59 u > N/A N/A 40 grids1x1 minimum b 0.10 x x Unk XX x good good good FV XX FV knowledge knowledge 2200 a 5.77
Myotis nattereri DE ATL 65506 15.02 = 65506 23586 23586 23586 grids1x1 minimum b 6.18 + 300 grids5x5 Y FV = good good good FV FV + FV noChange knowledge 26600 c 10.11
Myotis nattereri DE ALP 3548 3.65 = 3548 1649 1649 1649 grids1x1 estimate b 2.33 = grids5x5 Y FV = good good good FV FV = FV noChange noChange 1900 c 3.67
Myotis nattereri SE BOR 108500 43.16 + 108500 N/A N/A 488 grids1x1 estimate c 1.24 + 30000 i N Unk U1 = good poor unk U1 U1 + U2 - genuine genuine 30400 c 79.79
Myotis nattereri SE CON 16100 2.60 = 16100 N/A N/A 117 grids1x1 estimate c 0.04 = 2000 i N Unk U1 = good poor unk U1 U1 = U2 - genuine genuine 5400 c 1.52
Myotis nattereri ES ALP 7200 7.40 = 34 3400 N/A grids1x1 estimate b 2.42 = 3400 grids1x1 Y U1 + good unk poor U1 U1 + U2 + knowledge knowledge 2700 a 5.21
Myotis nattereri ES ATL 33700 7.72 + 67 6700 N/A grids1x1 estimate b 0.89 = 6700 grids1x1 Y U1 = good poor poor U1 U1 = U1 x knowledge knowledge 6400 a 2.43
Myotis nattereri BG BLS 4700 100 = 4700 N/A N/A 1 grids1x1 minimum b 100 u 1 grids1x1 Y XX = poor poor poor U1 U1 = U1 - noChange method 4200 b 100
Myotis nattereri BG CON 24100 3.90 = 24100 N/A N/A 15 grids1x1 minimum b 0.01 = 1 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange method 18600 b 5.24
Myotis nattereri ES MED 131800 39.23 = 263 26300 N/A grids1x1 estimate b 4.44 + 26300 grids1x1 Y U1 + good poor poor FV U1 = U1 = genuine genuine 27600 a 17.84
Myotis nattereri GR MED 108866 32.40 x N/A N/A 74086 grids1x1 estimate b 24.76 x x Unk XX x unk poor poor U1 U1 x U1 x noChange noChange 81900 b 52.94
Myotis nattereri LT BOR 65200 25.94 = N/A N/A 33 grids1x1 minimum c 0.08 x > Unk XX x good poor unk XX U1 x U1 = method method 2500 b 6.56
Myotis nattereri NL ATL 20900 4.79 + N/A N/A 422 grids1x1 estimate b 0.11 + Y FV = good good unk FV FV + FV noChange method 18200 b 6.91
Myotis nattereri IT ALP 27900 28.67 = 270 2700 N/A grids1x1 estimate c 2.10 = Y FV = good good good FV FV = U1 - noChange noChange 7600 c 14.67
Myotis nattereri IT CON 30700 4.96 = 400 4000 N/A grids1x1 estimate c 0.76 = Y FV = good good good FV FV = U1 - noChange noChange 7200 c 2.03
Myotis nattereri IT MED 25900 7.71 = 300 3000 N/A grids1x1 estimate c 0.55 = Y FV = good good good FV FV = U1 - noChange noChange 6100 c 3.94
Myotis nattereri AT CON 5300 0.86 = > 79 N/A N/A grids1x1 minimum b 0.03 x x Y FV = good unk good FV U1 = U1 x noChange knowledge 4300 b 1.21
Myotis nattereri AT ALP 8900 9.14 = > 98 N/A N/A grids1x1 minimum b 0.14 x x Y FV = good unk good FV U1 = U1 x noChange knowledge 7200 b 13.90
Myotis nattereri CZ PAN 5500 12.34 = 39 39 N/A grids1x1 estimate a 19.40 = > Y FV = good poor good FV U1 = U1 = noChange noChange 1200 a 10.08
Myotis nattereri CZ CON 80000 12.93 = 2818 2818 N/A grids1x1 estimate a 0.98 = > Y FV = good poor good FV U1 = U1 = noChange noChange 40300 a 11.35
Myotis nattereri FR MED 22400 6.67 = 180000 240000 N/A grids1x1 mean b 70.18 = Y Y FV = good good poor U1 U1 = XX knowledge noChange 15100 b 9.76
Myotis nattereri FR CON 58800 9.50 = 66000 95000 N/A grids1x1 mean b 27.92 + Y Y FV = good good poor U1 U1 + U1 = noChange noChange 41900 b 11.80
Myotis nattereri LU CON 3700 0.60 = N/A N/A 1400 grids1x1 estimate c 0.49 u > N N U1 - good poor poor U1 U1 - U1 x noChange genuine 2800 c 0.79
Myotis nattereri DE CON 286945 46.38 = 176667 176667 176667 grids1x1 estimate b 61.27 + 1675 grids5x5 Y FV = good good good FV FV + FV noChange method 191500 c 53.91
Myotis nattereri FR ATL 82200 18.84 = 300000 400000 N/A grids1x1 mean b 91.71 = Y Y FV = good good good FV FV = U1 x noChange noChange 64700 b 24.58
Myotis nattereri PT MED 34100 10.15 = 34100 N/A N/A 170 grids1x1 minimum b 0.06 u x Unk XX - good unk unk XX XX U1 + knowledge knowledge 10000 b 6.46
Myotis nattereri FR ALP 12700 13.05 = 30000 100000 N/A grids1x1 mean b 91.73 + > Y Y FV = good good good FV FV + N/A N/A N/A N/A 8600 b 16.60
Myotis nattereri BE CON 14300 2.31 = N/A N/A 418 grids1x1 minimum a 0.14 + Y FV = good good good FV FV + FV noChange noChange 9900 b 2.79
Myotis nattereri PL ALP 400 0.41 = x N/A N/A 400 grids1x1 minimum c 0.56 = x Y FV = good good good FV FV = FV noChange noChange 300 b 0.58
Myotis nattereri PT ATL 1000 0.23 = 1000 N/A N/A 2 grids1x1 minimum b 0 x x Unk XX x good unk unk XX XX U1 x knowledge noChange 200 b 0.08
Myotis nattereri FI BOR 6600 2.63 x x 11 6600 N/A grids1x1 estimate c 8.41 x x Unk XX x unk unk unk XX XX XX noChange noChange 1200 a 3.15
Myotis nattereri BE ATL 20000 4.58 = N/A N/A 312 grids1x1 estimate b 0.08 u x Unk XX x good unk unk XX XX FV method method 9800 b 3.72
Myotis nattereri SI ALP 7656 7.87 = 7656 14 19 N/A grids1x1 estimate c 0.02 u Y XX x good poor unk U1 U1 x FV noChange noChange 1400 b 2.70
Myotis punicus IT MED 16300 65.08 + > 3200 16000 N/A i estimate c 74.13 = > Y U1 - good poor poor U1 U1 = U1 - noChange noChange 3100 b 50.82
Myotis punicus MT MED 68 0.27 = 250 450 N/A i estimate b 2.70 = > N Y FV = good poor good U1 U1 = U1 = noChange noChange 900 c 14.75
Myotis punicus FR MED 8680 34.65 = 2000 4000 N/A i mean b 23.17 - Y U1 = good bad poor U2 U2 - U2 = noChange noChange 2100 b 34.43
Nyctalus azoreum PT MAC 4800 100 = N/A N/A 86 grids1x1 minimum b 100 u 6600 Unk U1 x good good good XX U1 x U1 + N/A N/A N/A b 0
Nyctalus lasiopterus HU PAN 6296 88.96 - > N/A N/A 7 grids1x1 estimate b 17.95 - >> N Y U2 - bad bad bad U2 U2 - U2 - noChange noChange 700 b 53.85
Nyctalus lasiopterus SK PAN 181.56 2.57 x 18 18 N/A grids1x1 estimate c 46.15 x Y FV x unk good good FV U1 x XX knowledge N/A 200 b 15.38
Nyctalus lasiopterus SK ALP 300 1.24 x 5 5 N/A grids1x1 estimate c 0.39 x Y FV x unk good good FV U1 x XX knowledge N/A 300 b 7.50
Nyctalus lasiopterus GR MED 92574 56.68 = N/A N/A 54409 grids1x1 estimate b 91.98 x x Unk XX x good poor unk U1 U1 x U1 x noChange noChange 56500 b 70.71
Nyctalus lasiopterus RO CON 500 0.64 x 50 100 N/A grids1x1 minimum c 30.30 x Y U1 x poor poor poor U1 U1 x XX noChange noChange 300 b 2.27
Nyctalus lasiopterus RO ALP 300 1.24 = 50 100 N/A grids1x1 minimum c 5.80 x Y U1 x poor poor poor U1 U1 x XX N/A N/A 300 b 7.50
Nyctalus lasiopterus ES ALP 4000 16.49 + 892 1500 N/A grids1x1 estimate b 92.57 + 1500 grids1x1 Y U1 + unk unk unk XX U2 x U2 x noChange noChange 1500 a 37.50
Nyctalus lasiopterus ES ATL 4400 23.28 = N/A 1200 N/A grids1x1 estimate b 51.95 x 1200 grids1x1 Y U1 = unk unk unk XX U2 + U2 + noChange noChange 900 a 13.43
Nyctalus lasiopterus ES MED 26200 16.04 + 1388 7700 N/A grids1x1 estimate b 7.68 = 7700 grids1x1 Y U2 = unk unk unk XX U2 - U1 = knowledge knowledge 8200 a 10.26
Nyctalus lasiopterus CZ PAN 600 8.48 = x N/A 28 N/A grids1x1 estimate c 35.90 x x Y FV = unk unk good XX XX XX noChange noChange 400 a 30.77
Nyctalus lasiopterus CZ CON 300 0.38 + x N/A 3 N/A grids1x1 estimate c 0.61 + x Y FV = unk unk good XX XX N/A N/A knowledge knowledge 400 a 3.03
Nyctalus lasiopterus IT CON 2200 2.82 + > 11 55 N/A grids1x1 estimate c 13.33 x x Y FV = good unk good FV U1 = U2 - noChange noChange 1100 b 8.33
Nyctalus lasiopterus IT MED 600 0.37 + > 5 25 N/A grids1x1 estimate c 0.03 x x Y FV + good unk good FV U1 = U2 - knowledge noChange 500 b 0.63
Nyctalus lasiopterus PT MED 32200 19.71 = 35600 N/A N/A 128 grids1x1 minimum b 0.22 x x Unk XX x good unk unk XX XX XX noChange knowledge 8800 b 11.01
Nyctalus lasiopterus PT ATL 2100 11.11 = 2100 N/A N/A 5 grids1x1 minimum b 0.43 x x Unk XX x good unk unk XX XX XX noChange knowledge 500 b 7.46
Nyctalus lasiopterus HR MED 15300 0 x >> N/A N/A 6 grids1x1 minimum c 0 x >> Unk XX x unk unk poor XX U2 x N/A N/A 15300 b 0
Nyctalus lasiopterus CY MED 1961 1.20 x x N/A N/A 5 grids1x1 estimate b 0.01 x x Y FV = unk unk good XX XX XX noChange noChange 2600 c 3.25
Nyctalus lasiopterus SI ALP 6459 26.63 x x N/A N/A 1 grids1x1 minimum c 0.08 x x Unk XX x unk unk unk XX XX N/A N/A knowledge knowledge 100 c 2.50
Nyctalus lasiopterus SI CON 8114 10.41 x x N/A N/A 1 grids1x1 minimum c 0.40 x x Unk XX x unk unk unk XX XX N/A N/A noChange noChange 100 c 0.76
Nyctalus lasiopterus FR ALP 1700 7.01 u 1 11 N/A grids1x1 minimum c 0.46 x > Y XX x good good good FV U1 x XX knowledge noChange 700 b 17.50
Nyctalus lasiopterus FR ATL 12400 65.61 u 100 1000 N/A grids1x1 mean c 47.62 x < Y FV = unk poor poor U1 U1 x XX noChange noChange 5300 b 79.10
Nyctalus lasiopterus FR CON 26250 33.67 u 50 50 N/A grids1x1 mean c 20.20 x Y FV = unk poor poor U1 U1 x XX noChange noChange 5900 b 44.70
Nyctalus lasiopterus FR MED 9800 6 u 50 60 N/A grids1x1 estimate d 0.09 x x Unk Unk XX u unk unk poor XX XX x XX noChange noChange 3300 b 4.13
Nyctalus lasiopterus NL ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Nyctalus lasiopterus BG CON 40600 52.08 u 40600 N/A N/A 87 grids1x1 minimum c 35.15 u 87 grids1x1 Y XX = unk bad unk U2 U2 x U1 - noInfo noInfo 5400 b 40.91
Nyctalus lasiopterus BG BLS 2100 100 = 2100 N/A N/A 2 grids1x1 minimum c 100 u 2 grids1x1 Y XX u unk bad unk U2 U2 x U1 - noChange noInfo 400 b 100
Nyctalus lasiopterus BG ALP 11500 47.41 u 11500 N/A N/A 9 grids1x1 minimum b 0.70 u 9 grids1x1 Y XX u unk bad unk U2 U2 x XX noInfo noInfo 1100 b 27.50
Nyctalus leisleri UK ATL 94224 25.88 = 83313 N/A N/A 1138 grids1x1 minimum c 1.90 x x Y FV = good unk good FV FV = FV noChange noChange 46100 b 24.16
Nyctalus leisleri PT ATL 4600 1.26 = 5200 N/A N/A 19 grids1x1 minimum b 0.03 x x Unk XX x good unk unk XX XX XX noChange knowledge 1500 c 0.79
Nyctalus leisleri PT MAC 1500 31.91 = x N/A N/A N/A minimum d 0 x N/ Unk U1 = unk unk good XX U1 - U1 - N/A N/A 1500 c 34.09
Nyctalus leisleri BG CON 46200 7.95 = 46200 N/A N/A 246 grids1x1 minimum b 0.20 = 246 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange knowledge 37500 b 15.88
Nyctalus leisleri BG BLS 5700 100 = 5700 N/A N/A 5 grids1x1 minimum b 100 = 5 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange knowledge 4700 b 100
Nyctalus leisleri BG ALP 12800 9.35 = 12800 N/A N/A 47 grids1x1 minimum b 0.25 = 47 grids1x1 Y FV = unk unk unk XX FV = FV knowledge knowledge 7600 b 13.36
Nyctalus leisleri SK PAN 4550.23 17.03 + 382 382 N/A grids1x1 estimate c 59.04 x Y FV x good good good FV FV x XX knowledge N/A 4900 b 28.32
Nyctalus leisleri SK ALP 9585.93 7 + 557 557 N/A grids1x1 estimate c 2.96 x Y FV x good good good FV FV x XX knowledge N/A 9800 b 17.22
Nyctalus leisleri RO STE 100 100 = 25 60 N/A grids1x1 minimum c 100 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 100 b 100
Nyctalus leisleri HU PAN 16876 63.14 u > N/A N/A 183 grids1x1 estimate c 28.28 u > Y U1 u unk poor unk XX U1 - U1 = noChange noInfo 10800 c 62.43
Nyctalus leisleri IT MED 68200 16.44 = 570 5700 N/A grids1x1 estimate c 2.30 = Y U1 - good poor poor U1 U1 - U1 - noChange noChange 13400 b 6.17
Nyctalus leisleri IT CON 55700 9.58 = 670 6700 N/A grids1x1 estimate c 3.06 = N Y U1 - good poor poor U1 U1 - U1 - noChange noChange 11300 b 4.78
Nyctalus leisleri IT ALP 48500 35.41 = 400 4000 N/A grids1x1 estimate c 11.69 = Y FV = good good poor U1 U1 = FV noChange noChange 10300 b 18.10
Nyctalus leisleri PT MED 61000 14.71 = 61000 N/A N/A 566 grids1x1 minimum b 0.42 x x Unk XX x good unk unk XX XX XX noChange knowledge 21900 c 10.08
Nyctalus leisleri CZ CON 42500 7.31 + > 925 925 N/A grids1x1 estimate a 0.77 + > Y FV = poor poor good FV U1 + U1 = noChange noChange 13900 a 5.88
Nyctalus leisleri CZ PAN 5300 19.83 = 82 82 N/A grids1x1 estimate a 12.67 + > Y FV = good poor good FV U1 + U1 = noChange noChange 1600 a 9.25
Nyctalus leisleri SE CON 8200 1.41 = 15000 N/A N/A 11 grids1x1 estimate c 0.01 u 1000 i N Unk U2 x bad unk unk U2 U2 x U2 x noChange noChange 2000 b 0.85
Nyctalus leisleri FR ALP 26200 19.13 = 10000 13000 N/A grids1x1 mean c 61.11 x x Y Y FV = good unk good FV FV = FV noChange noChange 11100 b 19.51
Nyctalus leisleri FR ATL 99800 27.41 = 38000 43700 N/A grids1x1 mean c 68.08 - Y Y FV = good bad poor U2 U2 - FV knowledge noChange 44800 b 23.48
Nyctalus leisleri FR CON 96700 16.64 = 33000 36000 N/A grids1x1 minimum b 28.61 - Y FV = good bad good U2 U2 - FV knowledge knowledge 34700 b 14.69
Nyctalus leisleri FR MED 57900 13.96 = 18000 21400 N/A grids1x1 minimum c 14.46 = Y Y FV = good poor poor U1 U1 + FV noChange noChange 25200 b 11.60
Nyctalus leisleri SE BOR 11500 14.99 = 30000 N/A N/A 36 grids1x1 estimate c 7.86 u 1500 i N Unk U2 x bad unk unk U2 U2 x U2 x noChange noChange 3400 b 13.08
Nyctalus leisleri AT CON 1900 0.33 = > 30 N/A N/A grids1x1 minimum b 0.02 x > Y FV = good unk poor U1 U1 = U1 x noChange knowledge 1900 b 0.80
Nyctalus leisleri AT ALP 4000 2.92 = > 75 N/A N/A grids1x1 minimum b 0.40 x > Y FV = good unk good FV U1 = U1 x noChange knowledge 3200 b 5.62
Nyctalus leisleri BE ATL 17100 4.70 + N/A N/A 116 grids1x1 estimate b 0.19 + > Unk XX x good poor unk U1 U1 = U2 x method knowledge 6300 b 3.30
Nyctalus leisleri NL ATL 4700 1.29 + N/A N/A 70 grids1x1 estimate b 0.12 x x Unk XX x good unk unk XX XX U2 + method noInfo 4100 b 2.15
Nyctalus leisleri BE CON 13600 2.34 x N/A N/A 282 grids1x1 minimum b 0.23 x > Y FV x good poor poor U1 U1 x XX knowledge noChange 8400 b 3.56
Nyctalus leisleri ES MED 82100 19.79 = 273 27300 N/A grids1x1 estimate b 10.12 = 27300 grids1x1 Y FV + good good poor U1 U1 + U1 + knowledge knowledge 25800 a 11.87
Nyctalus leisleri DE CON 268488 46.19 = 268488 74492 74492 74492 grids1x1 estimate b 61.77 - > grids5x5 N Y U1 - good poor unk U1 U1 - U1 - noChange noChange 94300 b 39.92
Nyctalus leisleri LV BOR 1 0 x x N/A N/A 1 grids1x1 minimum c 0.22 x 1 grids1x1 Unk U1 x unk unk unk XX U1 x U1 x method noChange 100 d 0.38
Nyctalus leisleri ES ATL 20800 5.71 = 99 9900 N/A grids1x1 estimate b 8.33 = 9900 grids1x1 Y U1 = good good poor U1 U1 = U1 + knowledge knowledge 9400 a 4.93
Nyctalus leisleri LU CON 3500 0.60 = N/A N/A 1700 grids1x1 estimate c 1.41 x > N N U1 x good poor poor U1 U1 x U1 x noChange method 3200 c 1.35
Nyctalus leisleri GR MED 121011 29.18 = N/A N/A 99050 grids1x1 estimate b 72.69 x x Unk XX x good poor unk U1 U1 x U1 x noChange noChange 107100 b 49.29
Nyctalus leisleri DK CON 203 0 x x N/A N/A N/A d 0 x x N Y XX u unk unk unk XX XX XX N/A N/A 300 b 0
Nyctalus leisleri ES ALP 14000 10.22 = 62 6200 N/A grids1x1 estimate b 16.64 = 6200 grids1x1 Y U1 + good good poor U1 U1 + U1 + knowledge knowledge 5100 a 8.96
Nyctalus leisleri ES MAC 3200 68.09 = 27 2700 N/A grids1x1 estimate b 100 = 2700 grids1x1 Y FV = good good poor U1 U1 = U1 + knowledge knowledge 2900 a 65.91
Nyctalus leisleri DE ALP 3014 2.20 = x 483 483 483 grids1x1 estimate c 2.57 = x grids5x5 Y FV = unk unk good XX XX = XX noChange knowledge 600 b 1.05
Nyctalus leisleri LT BOR 65200 85.01 = N/A N/A 421 grids1x1 minimum c 91.92 x x Unk XX x good unk unk XX XX XX noInfo noInfo 22500 b 86.54
Nyctalus leisleri DE ATL 46679 12.82 = 51704 10368 10368 10368 grids1x1 estimate b 17.28 = > grids5x5 Unk XX = poor unk unk XX U1 = U1 x noChange method 17300 b 9.07
Nyctalus leisleri IE ATL 76200 20.93 = 76200 N/A N/A 2445 grids1x1 minimum b 4.07 + 63000 i Y FV = good good good FV FV + FV noChange noChange 61300 a 32.13
Nyctalus leisleri RO CON 900 0.15 = 250 500 N/A grids1x1 minimum b 0.31 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 400 b 0.17
Nyctalus leisleri PL ALP 1700 1.24 x x N/A N/A 800 grids1x1 minimum c 4.25 x x Y FV = unk unk good XX XX XX noChange noChange 800 b 1.41
Nyctalus leisleri PL CON 8400 1.45 x x N/A N/A 4300 grids1x1 minimum b 3.57 x x Y FV = unk unk good XX XX U1 x knowledge noChange 4300 b 1.82
Nyctalus leisleri SI CON 12616 2.17 = 12616 19 23 N/A grids1x1 estimate c 0.02 x x Y XX x good unk unk XX XX XX noChange noChange 1900 b 0.80
Nyctalus leisleri SI ALP 7656 5.59 = 7656 12 16 N/A grids1x1 estimate c 0.07 x x Y XX x good unk unk XX XX XX noChange noChange 1200 b 2.11
Nyctalus leisleri CY MED 1241 0.30 x x N/A N/A 7 grids1x1 estimate b 0.01 x x Y FV = unk unk good XX XX XX noChange noChange 2400 c 1.10
Nyctalus leisleri HR ALP 9500 6.94 x > N/A N/A 12 grids1x1 minimum c 0.06 x >> Unk XX x unk unk poor XX U2 x N/A N/A 7200 b 12.65
Nyctalus leisleri HR CON 22600 3.89 x > N/A N/A 27 grids1x1 minimum c 0.02 x >> Unk XX x unk unk unk XX U2 x N/A N/A 22400 b 9.48
Nyctalus leisleri HR MED 23300 5.62 x N/A N/A 21 grids1x1 minimum c 0.02 x >> Unk XX x unk unk poor XX U2 x N/A N/A 21500 b 9.89
Nyctalus noctula RO ALP 10800 8.63 + 1500 3000 N/A grids1x1 minimum b 19.30 + Y FV + good good good FV FV + U1 = knowledge knowledge 3400 b 6.10
Nyctalus noctula HU PAN 93011 86.15 = N/A N/A 1207 grids1x1 minimum c 46.62 = Y FV = good good good FV FV = FV noChange method 43700 b 78.18
Nyctalus noctula IT ALP 24300 19.43 = 250 2500 N/A grids1x1 estimate c 11.80 = x N Unk XX x good good unk FV FV = XX knowledge noChange 5400 b 9.69
Nyctalus noctula IT CON 51100 5.29 = 650 6500 N/A grids1x1 estimate c 0.71 = Y FV = good good good FV FV = FV noChange noChange 12600 b 3.07
Nyctalus noctula IT MED 22400 13.36 = x 230 2300 N/A grids1x1 estimate c 1.42 x x N Y XX x good unk unk XX XX XX knowledge noChange 5100 b 5
Nyctalus noctula HR MED 19000 11.33 x > N/A N/A 15 grids1x1 minimum c 0.02 x >> N Unk XX x unk unk poor XX U2 x N/A N/A 17000 b 16.67
Nyctalus noctula HR CON 37000 3.83 x N/A N/A 94 grids1x1 minimum c 0.02 x >> N Unk XX x good unk poor U1 U2 x N/A N/A 35800 b 8.73
Nyctalus noctula HR ALP 9400 7.51 x > N/A N/A 11 grids1x1 minimum c 0.09 x >> Unk XX x good unk unk XX U2 x N/A N/A 7100 b 12.75
Nyctalus noctula BE ATL 20200 4.32 = N/A N/A 556 grids1x1 estimate b 0.63 + Y FV x good good good FV FV = U2 - method method 12600 b 4.84
Nyctalus noctula BE CON 13600 1.41 = N/A N/A 113 grids1x1 estimate a 0.02 x >> Unk XX x good poor poor U1 U2 x XX knowledge noChange 5300 b 1.29
Nyctalus noctula UK ATL 157491 33.72 = 157491 N/A N/A 7695 grids1x1 minimum b 8.78 = Y Unk FV x good good good FV FV = FV noChange noChange 131300 b 50.42
Nyctalus noctula LT BOR 65200 20.26 = N/A N/A 673 grids1x1 minimum c 1.09 u Y XX x good unk unk XX XX U1 = noInfo noInfo 28900 b 27.09
Nyctalus noctula LU CON 4000 0.41 x N/A N/A 2300 grids1x1 estimate c 0.46 - >> N N U1 - good bad poor U2 U2 - U2 - noChange genuine 3300 c 0.81
Nyctalus noctula GR MED 104678 62.42 = N/A N/A 66260 grids1x1 estimate b 74.59 x x Unk XX x good poor unk U1 U1 x U1 x noChange noChange 70900 b 69.51
Nyctalus noctula BG ALP 20100 16.07 = 20100 N/A N/A 51 grids1x1 minimum b 0.44 = 51 grids1x1 Y FV = good good good FV FV = FV noChange method 1900 b 3.41
Nyctalus noctula LV BOR 64589 20.07 = 64589 53000 64589 N/A grids1x1 estimate b 95.08 x 64589 grids1x1 Y U1 - good poor poor U1 U1 x U1 - noChange noChange 12100 b 11.34
Nyctalus noctula BG BLS 7400 100 - 7400 N/A N/A 13 grids1x1 minimum b 100 = 13 grids1x1 Y FV = good good good FV U1 - U1 - method method 1000 b 100
Nyctalus noctula BG CON 76200 7.89 = 76200 N/A N/A 374 grids1x1 minimum b 0.07 = 374 grids1x1 Y FV = good good good FV FV = U1 - method method 13400 b 3.27
Nyctalus noctula MT MED 12 0.01 x x N/A N/A 12 grids1x1 estimate c 0.01 x x Y FV = unk unk good XX XX FV method method 300 c 0.29
Nyctalus noctula SK PAN 9146.83 8.47 + 861 861 N/A grids1x1 estimate c 33.26 x Y FV + good good good FV FV = U2 - knowledge N/A 9600 b 17.17
Nyctalus noctula SK ALP 19116.47 15.28 + 1308 1308 N/A grids1x1 estimate c 11.22 x Y FV x good good good FV FV x U2 - knowledge N/A 19300 b 34.65
Nyctalus noctula NL ATL 36400 7.79 = N/A N/A 2889 grids1x1 estimate b 3.30 x >> Unk XX x good unk unk XX U2 x U2 + noChange noInfo 32300 b 12.40
Nyctalus noctula PL ALP 8800 7.03 = x N/A N/A 800 grids1x1 estimate c 6.86 + x Y FV = unk good good FV FV + FV noChange genuine 800 b 1.44
Nyctalus noctula PL CON 222400 23.03 = N/A N/A 27700 grids1x1 minimum b 5.52 + x Y FV = good good good FV FV + FV noChange knowledge 27400 b 6.68
Nyctalus noctula FR MED 5000 2.98 x 18000 19000 N/A grids1x1 mean c 20.83 x x Unk Unk XX x good unk poor U1 U1 x XX knowledge noChange 2200 b 2.16
Nyctalus noctula FR CON 75300 7.80 = 278000 304000 N/A grids1x1 mean b 57.97 - Y Y FV = good bad poor U2 U2 - FV knowledge noChange 29100 b 7.10
Nyctalus noctula FR ATL 177400 37.98 = 40000 42000 N/A grids1x1 mean c 46.77 = Y Y XX - good unk poor U1 U1 - U1 = noChange noChange 45900 b 17.63
Nyctalus noctula AT CON 22300 2.31 = 597 N/A N/A grids1x1 minimum b 0.12 x > Y FV = good poor poor U1 U1 = U1 x noChange knowledge 16300 b 3.98
Nyctalus noctula FR ALP 6800 5.44 = x 3700 4000 N/A grids1x1 mean c 33.03 x x Unk Unk XX = unk unk unk XX XX = FV method noChange 3100 b 5.57
Nyctalus noctula SI CON 12616 1.31 = 12616 39 44 N/A grids1x1 estimate c 0.01 - > Y U1 - good poor poor U1 U1 - U1 x noChange knowledge 2600 c 0.63
Nyctalus noctula SI ALP 7656 6.12 = 7656 17 22 N/A grids1x1 estimate c 0.17 - > Y U1 - good poor poor U1 U1 - U1 - noChange noChange 1600 c 2.87
Nyctalus noctula FI BOR N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 5200 a 0
Nyctalus noctula PT MED 400 0 x x N/A N/A 4 grids1x1 minimum b 0 x x Unk XX x unk unk unk XX XX N/A N/A knowledge knowledge 400 b 0
Nyctalus noctula AT ALP 14200 11.35 = 281 N/A N/A grids1x1 minimum b 2.41 x x Y FV = good poor good U1 U1 = U1 x noChange knowledge 11100 b 19.93
Nyctalus noctula CZ CON 82200 8.51 = 6095 6095 N/A grids1x1 estimate a 1.21 = Y FV = good good good FV FV = FV noChange noChange 55500 a 13.54
Nyctalus noctula CZ PAN 5800 5.37 = 521 521 N/A grids1x1 estimate a 20.12 = Y FV = good good good FV FV = FV noChange noChange 2600 a 4.65
Nyctalus noctula ES MED 16600 9.90 u > 55 5500 N/A grids1x1 minimum b 3.13 u 7 localities N Unk U2 u unk poor poor U1 U2 x U2 x noChange noChange 6500 a 6.37
Nyctalus noctula SE CON 25100 2.60 = 25100 N/A N/A 588 grids1x1 estimate c 0.12 = 10000 i Y FV = good good good FV FV = FV noChange noChange 14000 b 3.42
Nyctalus noctula SE BOR 159800 49.64 = 159800 N/A N/A 1820 grids1x1 estimate b 2.94 = 120000 i Y FV = good good good FV FV = FV noChange noChange 55000 b 51.55
Nyctalus noctula ES ATL 5800 1.24 = > 15 1500 N/A grids1x1 minimum b 0.86 u 5 localities Y U2 u poor poor unk U1 U2 x U1 x knowledge noChange 1000 a 0.38
Nyctalus noctula RO CON 29600 3.06 + 5000 10000 N/A grids1x1 minimum b 1.49 + Y FV + good good good FV FV + U1 = knowledge knowledge 10300 b 2.51
Nyctalus noctula RO STE 2800 100 + 250 500 N/A grids1x1 minimum b 100 + Y FV + good good good FV FV + U1 = knowledge knowledge 1400 b 100
Nyctalus noctula DE ALP 3923 3.14 = 3923 1710 1710 1710 grids1x1 estimate b 14.67 x x grids5x5 Unk XX u good unk unk XX XX x XX noChange noChange 2000 c 3.59
Nyctalus noctula DE ATL 64773 13.87 = 34772 34772 34772 grids1x1 minimum b 39.66 = grids5x5 Y FV = good unk unk XX FV = FV noChange noChange 36500 c 14.02
Nyctalus noctula DE CON 286982 29.71 = 286982 161975 161975 161975 grids1x1 estimate b 32.27 - > grids5x5 N Unk U1 - good unk poor U1 U1 - U1 - noChange noChange 172600 c 42.11
Nyctalus noctula EE BOR 32300 10.03 + N/A N/A 549 grids1x1 minimum b 0.89 - x Y FV = good good good FV U1 - FV genuine genuine 10700 a 10.03
Nyctalus noctula DK CON 27402 2.84 + N/A N/A N/A d 0 + x Y FV = good unk good FV FV + FV N/A N/A 11700 b 2.85
Nyctalus noctula DK ATL 5050 1.08 + N/A N/A N/A d 0 + x Y FV = good unk good FV FV + FV N/A N/A 800 b 0.31
Orcinus orca UK MATL 1085484 65.25 = 1085484 124 N/A N/A i minimum c 43.66 x x Unk XX x good unk unk XX XX XX noChange noChange 182200 d 51.21
Orcinus orca DK MATL N/A 0 x x N/A N/A N/A minimum d 0 x x Unk Unk XX x unk unk unk XX XX N/A N/A N/A N/A N/A c 0
Orcinus orca FR MMED N/A 0 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange N/A c 0
Orcinus orca FR MATL 1500 0.09 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 1500 c 0.42
Orcinus orca PT MATL 29567 1.78 x x N/A N/A N/A d 0 x x N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 37000 c 10.40
Orcinus orca ES MATL 106915.46 6.43 x 60 60 60 i minimum a 21.13 + 38 i Unk XX x good good unk FV FV + FV genuine genuine 115100 b 32.35
Orcinus orca PT MMAC 1450200 100 = x N/A N/A N/A d 0 N x Unk XX x unk unk unk XX XX XX N/A N/A 6800 c 100
Orcinus orca ES MMAC 12404.32 0 x x 30 30 30 i minimum c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 16100 b 0
Orcinus orca NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Orcinus orca ES MMED 5527.09 98.45 x 56 56 56 i minimum a 94.92 + 38 i Unk XX x good good unk FV FV + FV genuine genuine 8100 b 97.59
Orcinus orca UK MMED 87 1.55 x 87 1 3 3 i estimate b 5.08 x 3 i Y FV x unk good good FV XX XX noChange noChange 200 d 2.41
Orcinus orca IT MMED 200 0 x x N/A N/A N/A d 0 x x N/A N N/A N/A N/A N/A N/A N/A XX N/A N/A 200 d 0
Orcinus orca IE MATL 440000 26.45 = 440000 N/A N/A 100 i estimate c 35.21 u x Y FV = good unk good XX XX XX noChange noChange 20000 b 5.62
Ovis aries musimon IT MED 4600 84.78 = 7500 10000 N/A i minimum b 87.50 = Y FV = good good good FV FV = FV noChange noChange 4400 b 48.89
Ovis aries musimon FR MED 826 15.22 = >> 1250 1250 N/A i estimate c 12.50 x >> N Y U1 x poor poor poor U1 U2 x U2 + noChange noChange 4600 b 51.11
Ovis orientalis ophion CY MED 1087 100 x 2275 3353 N/A i estimate a 100 x Y FV = good unk good FV FV x FV noChange N/A 1900 a 100
Pagophilus groenlandicus UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange N/A d 0
Pagophilus groenlandicus NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Peponocephala electra UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange N/A d 0
Phoca vitulina FR MATL 23700 2.55 + N/A N/A 1050 i minimum a 1.02 + x Y Unk XX x good good unk FV FV = FV noChange noChange 17600 b 3.65
Phoca vitulina IE MATL 176300 18.98 = 176300 N/A N/A 4007 i minimum a 3.91 = < Y FV = good good good FV FV = FV noChange noChange 12400 a 2.57
Phoca vitulina NL MATL 76200 8.20 = 7029 9028 N/A i estimate a 7.84 + Y FV = good good unk FV FV + U1 + genuine noChange 71300 b 14.78
Phoca vitulina UK MATL 512984 55.23 = 512984 37000 60400 45100 i interval a 44.02 x 46520 i Unk XX x good poor unk U1 U1 x U2 - genuine genuine 248100 a 51.44
Phoca vitulina PL MBAL 8500 0 = x N/A 1 N/A i estimate a 0 + x N N U2 x unk poor bad U2 U2 = U1 x knowledge knowledge 5700 a 0
Phoca vitulina DK MBAL 17200 47.06 = 4000 5000 4500 i mean a 69.51 + Y FV = good good good FV FV + FV noChange genuine 28100 c 75.95
Phoca vitulina SE MATL 18300 1.97 + 18300 13550 18000 15775 i mean a 15.40 + 10000 i Y FV = good good good FV FV + FV noChange genuine 15300 b 3.17
Phoca vitulina DK MATL 76600 8.25 = 11000 13000 12000 i mean a 11.71 + Y FV = good good good FV FV + FV noChange genuine 93300 c 19.34
Phoca vitulina DE MATL 41240 4.44 = 41240 16430 16430 16430 i minimum a 16.04 u i Y FV = good good good FV FV = FV noChange noChange 20400 a 4.23
Phoca vitulina SE MBAL 4500 12.31 + 264000 1679 2210 1944 i mean a 30.03 + 3000 i N Y U1 = poor good good U1 U2 + U2 + noChange noChange 3800 b 10.27
Phoca vitulina DE MBAL 14847 40.62 = 14847 10 50 30 i estimate a 0.46 + x i N Y U1 = good unk poor U1 U1 + U1 + noChange noChange 5100 a 13.78
Phoca vitulina BE MATL 3451 0.37 = 3451 20 100 N/A i estimate c 0.06 + x N N U1 + good good good FV U1 + U2 + genuine noChange 3900 c 0.81
Phoca vitulina ES MATL N/A 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX N/A N/A noInfo noInfo N/A d 0
Phoca vitulina PT MATL N/A 0 N N/ N/A N/A N/A N/A 0 x x N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A d 0
Phoca vitulina PT MMAC N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A d 0
Phocoena phocoena FI MBAL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 5100 a 0
Phocoena phocoena ES MMED N/A 0 x x N/A N/A N/A i estimate c 0 N x Unk XX N unk unk unk XX XX XX noInfo noInfo N/A b 0
Phocoena phocoena BG MBLS 32300 56.67 = 32300 116 8850 N/A i estimate a 27.43 x 8539 i Y FV = poor poor poor U1 U1 = XX knowledge knowledge 11300 a 31.30
Phocoena phocoena DK MBAL 28700 23.08 = 23448 77749 42821 i interval a 92.09 = >> Unk Unk XX = good bad unk U2 U2 = U2 x noChange genuine 38100 c 32.10
Phocoena phocoena PL MBAL 42100 33.86 = N/A N/A 1 i minimum b 0 u >> N N U2 = good bad bad U2 U2 = U2 - noChange knowledge 33700 b 28.39
Phocoena phocoena NL MATL 72400 4.84 = 41300 76800 N/A i estimate a 7.96 = Y FV = good unk unk XX FV = U1 + genuine noChange 66200 b 5.73
Phocoena phocoena BE MATL 3451 0.23 = 3451 1048 20042 N/A i estimate a 1.42 = x Y XX x good unk unk XX XX U1 = knowledge noInfo 3800 a 0.33
Phocoena phocoena ES MMAC N/A 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A b 0
Phocoena phocoena GR MMED 6211 100 x x 30 300 N/A i estimate b 100 - > N Unk U2 - unk unk bad U2 U2 - U2 - noChange noChange 4700 b 100
Phocoena phocoena LV MBAL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A XX N/A N/A N/A N/A 0
Phocoena phocoena ES MATL 9118.32 0.61 - x 1350 5406 2898 i interval a 0.39 - x Unk XX x poor poor unk U1 U1 - U1 x genuine genuine 14000 b 1.21
Phocoena phocoena FR MATL 186700 12.48 + 13000 47000 N/A i interval b 4.04 + x Unk Unk XX x poor poor poor U1 U1 = U2 x noChange noChange 182300 b 15.79
Phocoena phocoena SE MBAL 38700 31.12 u 38700 100 960 480 i interval a 1.03 x 7500 i N N U1 x good bad unk U2 U2 x U2 x noChange noChange 33000 b 27.80
Phocoena phocoena IE MATL 400000 26.74 = 400000 29519 51840 N/A i interval a 5.48 u Y FV = good good good FV FV = FV noChange noChange 170000 b 14.73
Phocoena phocoena SE MATL 20200 1.35 = 20200 10623 90744 27313 i interval b 3.68 u 23000 i Y FV = good unk unk XX FV = U2 x knowledge method 15200 b 1.32
Phocoena phocoena UK MATL 660484 44.15 = 660484 163294 239063 197579 i interval a 26.63 x x Unk XX x good unk good FV XX x FV method noChange 545800 a 47.28
Phocoena phocoena RO MBLS 24700 43.33 = 3159 20563 N/A i interval a 72.57 = > Y FV = good poor good U1 U1 = U2 - noChange knowledge 24800 b 68.70
Phocoena phocoena DE MBAL 14847 11.94 = 14847 1913 5275 3198 i interval b 6.88 + >> i N N U2 = good bad bad U2 U2 + U2 = noChange genuine 13900 b 11.71
Phocoena phocoena PT MATL 25704 1.72 = N/A N/A 1531 i mean a 0.21 - > N N U2 - good bad bad U2 U2 - U1 - genuine noChange 34100 a 2.95
Phocoena phocoena DE MATL 41244 2.76 = 41243 16450 45906 27000 i interval b 3.64 u x i N Y U1 = good unk poor U1 U1 = U1 = noChange noChange 39800 b 3.45
Phocoena phocoena DK MATL 76600 5.12 = 246526 495752 345373 i interval a 46.55 = Unk Unk XX = good good unk FV FV = FV noChange noChange 83200 c 7.21
Physeter macrocephalus FR MATL 117000 8.38 x 130 2900 N/A i interval b 6.38 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 113100 c 21.59
Physeter macrocephalus IE MATL 400000 28.64 = 400000 270 539 N/A i interval b 1.70 u Y FV = good good good FV FV = XX knowledge knowledge 110000 b 21
Physeter macrocephalus MT MMED 4 0 N N/ N/A N/A 8 i minimum a 0 N N/ N/A N N/A N/A N/A N/A N/A N/A XX N/A N/A 100 a 0
Physeter macrocephalus HR MMED N/A 0 x x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX N/A N/A N/A N/A 0
Physeter macrocephalus PT MMAC 1450200 96.36 = x N/A N/A 330 i minimum b 59.57 x x Unk XX x unk unk unk XX XX U1 x N/A N/A 80000 c 56.50
Physeter macrocephalus PT MATL N/A 0 N N/ N/A N/A N/A N/A 0 x x XX N unk unk unk XX XX N/A N/A N/A N/A N/A c 0
Physeter macrocephalus GR MMED 414209 80.60 x 180 280 N/A i estimate b 9.70 - > N Unk U2 - unk poor bad U2 U2 - U2 - noChange noChange 380200 b 78.67
Physeter macrocephalus UK MATL 640376 45.86 = 640376 3455 108313 19343 i interval a 81.43 x x Unk XX x good unk unk XX XX x XX noChange noChange 82200 d 15.69
Physeter macrocephalus UK MMED 87 0 x 87 N/A 74 N/A i estimate b 0 u 74 i Y FV u good good good FV FV x XX knowledge knowledge 400 d 0
Physeter macrocephalus IT MMED 6600 1.28 x x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX XX noChange noChange 1000 b 0.21
Physeter macrocephalus NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Physeter macrocephalus ES MATL 239033.58 17.12 = 569 12986 2492 i interval a 10.49 = x Unk XX x good good unk FV FV = XX noChange noChange 218500 b 41.71
Physeter macrocephalus ES MMAC 54842.21 3.64 x x 120 418 224 i interval a 40.43 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 61600 b 43.50
Physeter macrocephalus ES MMED 2522.68 0.49 x x 500 1000 N/A i estimate c 31.65 x 1000 i Unk XX x unk unk unk XX XX XX noInfo noInfo 11800 b 2.44
Physeter macrocephalus FR MMED 90600 17.63 x 80 2700 N/A i interval b 58.65 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 90300 c 18.68
Pipistrellus hanaki GR MED 7267 100 = 173 233 N/A grids5x5 estimate b 100 x x N Unk U1 x good unk poor U1 U1 x U1 x noChange noChange 7200 b 100
Pipistrellus kuhlii HR CON 15500 6.02 x >> N/A N/A 66 grids1x1 minimum b 0 x >> N Unk U1 x poor unk poor U1 U2 x N/A N/A 14900 b 11.93
Pipistrellus kuhlii HR MED 9700 1.65 x >> N/A N/A 40 grids1x1 minimum c 0 x >> N Unk U1 x unk unk poor XX U2 x N/A N/A 9500 b 2.81
Pipistrellus kuhlii GR MED 130175 22.19 = N/A N/A 131402 grids1x1 estimate b 10.23 = Y FV = good good good FV FV = FV noChange noChange 157600 b 46.61
Pipistrellus kuhlii IT ALP 54400 58.46 + 1700 51000 N/A grids1x1 estimate c 40.77 = Y FV = good good good FV FV + FV noChange noChange 17100 b 46.22
Pipistrellus kuhlii SK PAN 1176.61 2.57 + > 184 184 N/A grids1x1 estimate a 76.35 + > Y FV + good good good FV FV = XX knowledge knowledge 2200 b 34.38
Pipistrellus kuhlii AT CON 4600 1.79 + > 99 N/A N/A grids1x1 minimum b 0.01 + > Y FV = good good good FV U1 + U1 + noChange noChange 3500 b 2.80
Pipistrellus kuhlii AT ALP 2200 2.36 = > 54 N/A N/A grids1x1 minimum b 0.08 + > Y FV = good good good FV U1 + U1 + noChange noChange 2200 b 5.95
Pipistrellus kuhlii BE ATL 100 0 N N/ N/A N/A 2 grids1x1 estimate N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 100 a 0
Pipistrellus kuhlii ES ALP 8500 9.13 + 17900 35 3500 N/A grids1x1 estimate b 2.73 x 463 grids1x1 Y FV = good good good FV U2 = U1 = knowledge genuine 2400 a 6.49
Pipistrellus kuhlii HU PAN 44315 96.78 + N/A N/A 56 grids1x1 minimum c 23.24 + Y FV + good good good FV FV + FV noChange method 4100 b 64.06
Pipistrellus kuhlii ES ATL 17900 17.38 + 17900 90 9000 N/A grids1x1 estimate b 1.79 x 90 grids1x1 Y FV x good good good FV FV = FV genuine knowledge 8400 a 11.40
Pipistrellus kuhlii FR ALP 15300 16.44 + 32000 40000 N/A grids1x1 minimum c 55.71 = < Y Y XX = good good good FV FV + U1 x noChange noChange 9600 a 25.95
Pipistrellus kuhlii CZ CON 600 0.23 + x 1 4 N/A grids1x1 estimate c 0 + x Y FV = unk unk good XX XX XX noChange noChange 500 a 0.40
Pipistrellus kuhlii ES MAC 2300 100 = 2300 17 1700 N/A grids1x1 estimate b 100 x 17 grids1x1 Unk XX x good good poor FV FV = FV noChange noChange 200 a 100
Pipistrellus kuhlii ES MED 163100 27.81 + 163100 428 42800 N/A grids1x1 estimate b 1.68 x 428 grids1x1 Y FV = good good good FV FV = FV noChange noChange 44300 a 13.10
Pipistrellus kuhlii UK ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A noChange noChange N/A d 0
Pipistrellus kuhlii SI CON 12616 4.90 = 12616 247 256 N/A grids1x1 estimate a 0.02 = Y FV = good good good FV FV = XX knowledge knowledge 8200 b 6.57
Pipistrellus kuhlii HR ALP 1400 1.50 x x N/A N/A 3 grids1x1 minimum c 0 x x Unk XX x unk unk unk XX XX N/A N/A 900 b 2.43
Pipistrellus kuhlii CZ PAN 300 0.66 + x N/A 2 N/A grids1x1 estimate c 0.41 + x Y FV = unk unk good XX XX N/A N/A knowledge knowledge 100 a 1.56
Pipistrellus kuhlii FR ATL 79700 77.38 + 200000 300000 N/A grids1x1 minimum b 98.21 = Y Y FV = good good good FV FV + FV noChange noChange 64400 a 87.38
Pipistrellus kuhlii FR CON 41700 16.19 + 1200000 1500000 N/A grids1x1 minimum b 93.79 - Y FV = good unk good FV FV - FV knowledge noChange 29500 a 23.62
Pipistrellus kuhlii FR MED 43300 7.38 = 800000 1200000 N/A grids1x1 minimum c 77.87 = Y FV = good good poor U1 U1 = U1 = noChange noChange 32000 a 9.46
Pipistrellus kuhlii DE CON 11663 4.53 + 11663 2436 2436 2436 grids1x1 mean b 0.17 + bfemales Y FV = good good good FV FV + FV noChange noChange 4200 b 3.36
Pipistrellus kuhlii BG CON 58000 22.52 u 58000 N/A N/A 259 grids1x1 minimum b 0.02 = 259 grids1x1 Y FV = good good good FV FV = U1 - knowledge knowledge 10600 b 8.49
Pipistrellus kuhlii CY MED 9689 1.65 x 72 1000 72 grids1x1 estimate b 0.01 x Y FV = good good good FV FV x FV noChange noChange 13300 b 3.93
Pipistrellus kuhlii MT MED 409 0.07 = N/A N/A 104 grids1x1 estimate b 0.01 = N Y FV = good good good FV FV = FV noChange knowledge 1000 b 0.30
Pipistrellus kuhlii RO ALP 3600 3.87 = 250 500 N/A grids1x1 minimum b 0.58 = Y U1 = poor poor poor U1 U1 = U1 x knowledge knowledge 1300 b 3.51
Pipistrellus kuhlii BG BLS 4600 100 = 4600 N/A N/A 7 grids1x1 minimum b 100 = 7 grids1x1 Y FV = unk unk unk XX FV = U1 - noChange knowledge 600 b 100
Pipistrellus kuhlii BG ALP 18900 0 u 18900 N/A N/A 24 grids1x1 minimum b 0 = 24 grids1x1 Y FV = unk unk unk XX XX = XX knowledge knowledge 1000 b 0
Pipistrellus kuhlii IT MED 154800 26.39 = 10000 250000 N/A grids1x1 estimate c 10.12 = Y FV = good good good FV FV = FV noChange noChange 50100 b 14.82
Pipistrellus kuhlii IT CON 94100 36.53 = 5000 165000 N/A grids1x1 estimate c 5.91 = Y FV = good good good FV FV = FV noChange noChange 45400 b 36.35
Pipistrellus kuhlii RO CON 18800 7.30 + 1000 1500 N/A grids1x1 minimum b 0.09 + Y U1 + poor poor poor U1 U1 + U1 x knowledge knowledge 8100 b 6.49
Pipistrellus kuhlii RO STE 4200 100 + 500 1000 N/A grids1x1 minimum b 100 + Y U1 + poor poor poor U1 U1 + U1 = knowledge knowledge 1800 b 100
Pipistrellus kuhlii SI ALP 7656 8.23 = 7656 72 81 N/A grids1x1 estimate a 0.12 = Y FV = good good good FV FV = XX knowledge knowledge 3500 b 9.46
Pipistrellus kuhlii PT MED 75400 12.85 = 75400 N/A N/A 939 grids1x1 minimum b 0.07 x 75400 grids1x1 Y FV = good good good FV FV = FV noChange knowledge 30300 c 8.96
Pipistrellus kuhlii PT ATL 5400 5.24 = 5400 N/A N/A 9 grids1x1 minimum b 0 x 5400 grids1x1 Unk XX x good unk unk XX XX XX noChange knowledge 900 c 1.22
Pipistrellus maderensis ES MAC 1552.39 42.50 u 1758.75 N/A N/A 50 grids1x1 estimate b 100 u 142 grids1x1 Y FV = good good good FV U2 x XX noChange noChange 3100 a 59.62
Pipistrellus maderensis PT MAC 2100 57.50 u x N/A N/A N/A minimum b 0 u Unk Unk XX x poor poor unk U1 U1 x U1 - noChange N/A 2100 c 40.38
Pipistrellus nathusii BE ATL 21500 6.81 = N/A N/A 768 grids1x1 estimate b 2.71 + Y FV x good good good FV FV = XX method method 13700 a 7.91
Pipistrellus nathusii BG ALP 17500 21.57 = 17500 N/A N/A 30 grids1x1 minimum b 0.52 = 30 grids1x1 Y FV = good good good FV FV = FV noChange method 1500 b 4.57
Pipistrellus nathusii BG BLS 3600 100 - 3600 N/A N/A 6 grids1x1 minimum b 100 = 6 grids1x1 Y FV = poor poor poor U1 U1 - U1 - noChange method 600 b 100
Pipistrellus nathusii BG CON 66400 8.81 = 66400 N/A N/A 219 grids1x1 minimum b 0.15 = 219 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange method 8900 b 3.19
Pipistrellus nathusii SK PAN 3787.85 3.69 + 296 296 N/A grids1x1 estimate c 30.87 x Y FV x good good good FV FV x XX knowledge N/A 3400 b 19.21
Pipistrellus nathusii SK ALP 11707.66 14.43 + 754 754 N/A grids1x1 estimate c 13 x Y FV x good good good FV FV x XX knowledge N/A 9800 b 29.88
Pipistrellus nathusii NL ATL 48700 15.43 = N/A N/A 3515 grids1x1 estimate b 12.39 x Y FV = good poor good U1 U1 = FV knowledge method 44700 b 25.81
Pipistrellus nathusii LT BOR 65200 20.80 = N/A N/A 1176 grids1x1 minimum c 1.44 = Y FV = good good good FV FV = FV noChange noChange 36600 b 34.92
Pipistrellus nathusii AT CON 7400 0.98 = 112 N/A N/A grids1x1 minimum b 0.08 x Y FV = good unk poor U1 U1 = FV genuine knowledge 5400 c 1.94
Pipistrellus nathusii PL ALP 3200 0 x x N/A N/A 800 grids1x1 minimum b 0 x x Y FV = unk unk good XX XX XX noChange noChange 800 b 0
Pipistrellus nathusii PL CON 142500 18.92 = N/A N/A 28400 grids1x1 estimate b 19.47 = x Y FV = good good good FV FV = FV noChange noChange 28200 b 10.11
Pipistrellus nathusii FR MED 29600 19.64 x 1000 20000 N/A grids1x1 estimate a 13.95 x < Y XX x poor poor poor U1 U1 x U1 x noChange noChange 14100 b 15.77
Pipistrellus nathusii FR CON 44500 5.91 x 1000 20000 N/A grids1x1 estimate b 7.20 x < Y FV = unk poor unk U1 U1 x XX genuine genuine 21200 b 7.60
Pipistrellus nathusii FR ATL 56200 17.81 x 1000 10000 N/A grids1x1 minimum c 19.38 x < Y XX x unk bad unk U2 U2 x XX N/A knowledge 32100 b 18.53
Pipistrellus nathusii FR ALP 10200 12.57 x 500 2000 N/A grids1x1 estimate c 21.54 x < Y FV = unk unk unk XX XX x XX noChange noChange 4900 b 14.94
Pipistrellus nathusii AT ALP 8200 10.11 = 147 N/A N/A grids1x1 minimum b 2.53 x > Y FV = good unk good FV U1 = U1 x noChange knowledge 6700 c 20.43
Pipistrellus nathusii HU PAN 93011 90.66 = N/A N/A 277 grids1x1 minimum c 28.88 x Y U1 - good poor poor U1 U1 x FV knowledge method 12000 b 67.80
Pipistrellus nathusii BE CON 14100 1.87 = N/A N/A 422 grids1x1 minimum b 0.29 x Y FV x good unk poor U1 U1 x XX knowledge noChange 9700 a 3.48
Pipistrellus nathusii UK ATL 90231 28.59 + 90231 N/A N/A 793 grids1x1 minimum b 2.79 x x Unk Unk XX x good unk unk XX XX XX noChange noChange 41500 b 23.96
Pipistrellus nathusii HR ALP 1400 0 x x N/A N/A 2 grids1x1 minimum c 0 x x Unk XX x unk unk unk XX XX N/A N/A 900 b 0
Pipistrellus nathusii HR CON 8200 1.09 x >> N/A N/A 17 grids1x1 minimum c 0.01 x >> N Unk U1 x unk unk poor XX U2 x N/A N/A 8100 b 2.91
Pipistrellus nathusii HR MED 7800 5.17 x >> N/A N/A 12 grids1x1 minimum c 0.02 x >> N Unk U1 x unk unk poor XX U2 x N/A N/A 7600 b 8.50
Pipistrellus nathusii SI CON 12616 1.67 = 12616 16 18 N/A grids1x1 estimate c 0.01 x x Y XX x good unk unk XX XX XX noChange noChange 1100 c 0.39
Pipistrellus nathusii SI ALP 7656 9.44 = 7656 7 9 N/A grids1x1 estimate c 0.14 x x Y XX x good unk unk XX XX XX noChange noChange 600 c 1.83
Pipistrellus nathusii FI BOR 49600 15.82 = x 162 49600 N/A grids1x1 estimate c 30.37 x x Unk XX x good unk unk XX XX XX noChange noChange 10200 a 9.73
Pipistrellus nathusii DK CON 27504 3.65 = N/A N/A N/A d 0 u x Y FV = good unk good FV FV x FV N/A N/A 11500 b 4.12
Pipistrellus nathusii CZ CON 69300 9.20 + 2062 2062 N/A grids1x1 estimate a 1.41 = 2062 grids1x1 Y FV = good good good FV FV + FV noChange noChange 22100 a 7.93
Pipistrellus nathusii CZ PAN 5800 5.65 = 386 386 N/A grids1x1 estimate a 40.25 = 386 grids1x1 Y FV = good good good FV FV = FV noChange noChange 2300 a 12.99
Pipistrellus nathusii IT MED 8700 5.77 = 450 4500 N/A grids1x1 estimate c 3.29 = Y FV = good good poor U1 U1 = FV knowledge noChange 2200 b 2.46
Pipistrellus nathusii IT CON 39700 5.27 = 140 1400 N/A grids1x1 estimate c 0.53 = Y FV = good good poor U1 U1 = FV knowledge noChange 9300 b 3.34
Pipistrellus nathusii IT ALP 18700 23.05 = 210 2100 N/A grids1x1 estimate c 19.91 = Y FV = good good poor U1 U1 = FV knowledge noChange 5500 b 16.77
Pipistrellus nathusii ES MED 101 0.07 x x N/A N/A 1500 grids1x1 estimate b 1.99 x 1500 grids1x1 Unk XX x Unk bad Unk U2 U2 x U1 + N/A N/A 300 a 0.34
Pipistrellus nathusii SE CON 17800 2.36 = 17800 N/A N/A 216 grids1x1 estimate c 0.15 = 3000 i Y FV = good good good FV FV = U1 N/A genuine genuine 9200 b 3.30
Pipistrellus nathusii SE BOR 87200 27.82 = 87200 N/A N/A 424 grids1x1 estimate c 0.52 + 40000 i Y FV = good good good FV FV + U1 N/A genuine genuine 23700 b 22.61
Pipistrellus nathusii DK ATL 12698 4.02 = N/A N/A N/A d 0 + x Y FV = good unk good FV FV + FV N/A N/A 3100 b 1.79
Pipistrellus nathusii DE ALP 3670 4.52 = 2083 2083 2083 grids1x1 estimate b 35.90 x x grids5x5 Y FV = good unk good FV FV = XX knowledge knowledge 2300 c 7.01
Pipistrellus nathusii DE ATL 70446 22.32 = 70446 17701 17701 17701 grids1x1 minimum b 62.38 = 399 grids5x5 Y FV = good unk unk XX FV = FV noChange noChange 30800 c 17.78
Pipistrellus nathusii RO ALP 3500 4.31 = 250 500 N/A grids1x1 minimum b 6.46 = Y U1 = poor poor poor U1 U1 = U1 x knowledge knowledge 1500 b 4.57
Pipistrellus nathusii RO CON 17100 2.27 = 800 1500 N/A grids1x1 minimum b 0.79 = Y U1 = poor poor poor U1 U1 = U1 x knowledge knowledge 7500 b 2.69
Pipistrellus nathusii RO STE 4700 100 = 250 500 N/A grids1x1 minimum b 100 = Y U1 = poor poor poor U1 U1 = U1 x knowledge knowledge 1700 b 100
Pipistrellus nathusii DE CON 286197 37.99 = 286197 101978 101978 101978 grids1x1 estimate b 69.91 x grids5x5 N Y U1 x good unk poor U1 U1 x U1 = noChange knowledge 136600 c 49
Pipistrellus nathusii EE BOR 46900 14.96 + N/A N/A 663 grids1x1 minimum b 0.81 = Y FV = good good good FV FV + FV noChange noChange 18900 a 18.03
Pipistrellus nathusii IE ATL 15800 5.01 u x N/A N/A 100 grids1x1 minimum c 0.35 + x Y FV = unk unk good XX XX XX noChange noChange 7300 b 4.21
Pipistrellus nathusii GR MED 104547 69.35 = N/A N/A 60801 grids1x1 estimate b 80.76 x Unk XX x good poor unk U1 U1 x U1 x noChange noChange 65200 b 72.93
Pipistrellus nathusii LU CON 3500 0 x x N/A N/A 1500 grids1x1 estimate c 0 x x Unk XX x unk unk unk XX XX XX noChange noChange 3000 c 0
Pipistrellus nathusii LV BOR 64589 20.60 = 64589 45000 64589 N/A grids1x1 estimate b 66.87 + 64589 grids1x1 Y U1 - good good poor U1 U1 = U1 x noChange noChange 15400 b 14.69
Pipistrellus pipistrellus CZ CON 82400 10.23 + 6546 6546 N/A grids1x1 estimate a 0.20 + 6546 grids1x1 Y FV = good good good FV FV + FV noChange noChange 51700 a 10.88
Pipistrellus pipistrellus BE ATL 22500 3.40 = N/A N/A 2462 grids1x1 estimate b 0.10 + Y FV = good good good FV FV + FV noChange knowledge 19300 a 3.59
Pipistrellus pipistrellus PL CON 44300 5.50 x N/A N/A 16800 grids1x1 estimate b 0.51 x x Y FV = good good good FV FV x FV noChange noChange 16600 b 3.49
Pipistrellus pipistrellus PL ALP 3000 1.47 x N/A N/A 1200 grids1x1 minimum b 0.15 x x Y FV = good good good FV FV x FV noChange noChange 1100 b 1
Pipistrellus pipistrellus CZ PAN 5500 5.17 = 5500 196 196 N/A grids1x1 estimate a 12.33 = 196 grids1x1 Y FV = good good good FV FV = FV noChange noChange 2100 a 7.09
Pipistrellus pipistrellus LT BOR 65200 39.88 = N/A N/A 541 grids1x1 minimum c 0.97 = x Y FV x good good good FV FV = U1 = knowledge knowledge 24800 b 65.61
Pipistrellus pipistrellus NL ATL 46700 7.06 = N/A N/A 8952 grids1x1 estimate b 0.38 x Y XX x good unk unk XX XX FV method noChange 43000 a 8
Pipistrellus pipistrellus LU CON 4000 0.50 = N/A N/A 2787 grids1x1 estimate c 0.08 u 2787 grids1x1 Y FV = good unk unk XX FV - FV method genuine 2600 c 0.55
Pipistrellus pipistrellus SE BOR 13000 7.95 + 30000 N/A N/A 47 grids1x1 estimate c 0.08 + 1500 i Y FV = bad poor unk U2 U2 + U2 x noChange noChange 3700 b 9.79
Pipistrellus pipistrellus LV BOR 64589 39.51 = 64589 45000 64589 N/A grids1x1 estimate c 98.72 x 64589 grids1x1 Unk XX x good unk unk XX XX XX noChange noChange 3800 b 10.05
Pipistrellus pipistrellus GR MED 114202 16.70 = N/A N/A 90605 grids1x1 estimate b 7.30 x Y FV = good unk good FV FV x FV noChange noChange 99800 b 26.47
Pipistrellus pipistrellus IE ATL 79300 11.98 = 79300 N/A N/A 3637 grids1x1 minimum a 0.15 + 1070000 i Y FV = good good good FV FV + FV noChange noChange 66500 a 12.38
Pipistrellus pipistrellus SE CON 11200 1.39 + 15000 N/A N/A 36 grids1x1 estimate c 0 + 1000 i Y FV = bad bad unk U2 U2 + U2 x genuine genuine 3200 b 0.67
Pipistrellus pipistrellus IT ALP 63100 30.91 = 3000 90000 N/A grids1x1 estimate c 5.74 = Y FV = good good good FV FV = FV noChange noChange 25200 b 23.01
Pipistrellus pipistrellus ES ALP 9800 4.80 = > 68 6800 N/A grids1x1 estimate b 0.42 x 6800 grids1x1 Y U1 u good good poor FV U1 x U1 x noChange noChange 4500 a 4.11
Pipistrellus pipistrellus IT MED 132600 19.39 = 4500 140000 N/A grids1x1 estimate c 5.82 = Y FV = good good good FV FV = FV noChange noChange 37300 b 9.89
Pipistrellus pipistrellus ES ATL 50800 7.67 = > 275 27500 N/A grids1x1 estimate b 0.59 x 27500 grids1x1 Y U1 = poor unk poor FV U1 = U1 x noChange noChange 25000 a 4.65
Pipistrellus pipistrellus BE CON 15000 1.86 = N/A N/A 1300 grids1x1 minimum a 0.04 u Y FV x good good good FV FV x FV noChange noChange 11800 a 2.48
Pipistrellus pipistrellus HR ALP 1500 0.73 x >> N/A N/A 7 grids1x1 minimum c 0 x >> Unk XX x unk unk unk XX U2 x N/A N/A 1400 b 1.28
Pipistrellus pipistrellus AT CON 19600 2.43 = 449 N/A N/A grids1x1 minimum c 0.01 x x Y FV = good unk good FV FV = FV noChange noChange 13500 b 2.84
Pipistrellus pipistrellus HR MED 3300 0.48 x >> N/A N/A 12 grids1x1 minimum c 0 x >> N Unk U1 x unk unk poor XX U2 x N/A N/A 3000 b 0.80
Pipistrellus pipistrellus FI BOR N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 2800 a 0
Pipistrellus pipistrellus BG BLS 7100 100 = 7100 N/A N/A 30 grids1x1 minimum b 100 = 30 grids1x1 Y FV = unk unk unk XX FV = FV noChange method 1500 b 100
Pipistrellus pipistrellus HR CON 8200 1.02 x >> N/A N/A 31 grids1x1 minimum c 0 x >> N Unk U1 x unk unk poor XX U2 x N/A N/A 8000 b 1.68
Pipistrellus pipistrellus EE BOR 20700 12.66 + N/A N/A 121 grids1x1 minimum b 0.22 u x Y FV = good good good FV FV = FV noChange noChange 5500 a 14.55
Pipistrellus pipistrellus CY MED 9689 1.42 x 15 100 15 grids1x1 estimate b 0 x Y FV = good good good FV FV x FV noChange noChange 13400 b 3.55
Pipistrellus pipistrellus FR MED 48400 7.08 = 800000 1200000 N/A grids1x1 minimum c 80.56 x Y Y FV = good unk poor U1 U1 = U1 = noChange noChange 35400 a 9.39
Pipistrellus pipistrellus SK PAN 7789.25 7.33 = 746 746 N/A grids1x1 estimate b 46.92 + Y FV x good good good FV FV = XX knowledge knowledge 8700 b 29.39
Pipistrellus pipistrellus IT CON 90000 11.17 = 5000 150000 N/A grids1x1 estimate c 2.33 = Y FV = good good good FV FV = FV noChange noChange 28000 b 5.89
Pipistrellus pipistrellus FR ALP 26400 12.93 = 500000 1000000 N/A grids1x1 minimum c 92.55 = < Y Y FV = good unk good FV FV = FV noChange noChange 17200 a 15.71
Pipistrellus pipistrellus FR ATL 145900 22.04 = 1500000 3000000 N/A grids1x1 minimum c 95.58 - > Y Y U1 - unk poor poor U1 U2 - U2 - noChange noChange 119800 a 22.30
Pipistrellus pipistrellus FR CON 103500 12.85 = 2000000 4000000 N/A grids1x1 minimum b 90.37 - > Y Y U1 - poor unk poor U1 U2 - U1 - genuine noChange 76400 a 16.08
Pipistrellus pipistrellus AT ALP 34700 17 = 1074 N/A N/A grids1x1 minimum b 0.13 x x Y FV = good unk good FV FV = FV noChange noChange 27800 b 25.39
Pipistrellus pipistrellus BG ALP 22500 11.02 = 22500 N/A N/A 57 grids1x1 minimum b 0.01 = 57 grids1x1 Y FV = unk unk unk XX FV = FV noChange method 2000 b 1.83
Pipistrellus pipistrellus PT MED 74500 10.89 = 74500 N/A N/A 1101 grids1x1 minimum b 0.09 x 74500 grids1x1 Y FV = good good good FV FV = FV noChange knowledge 31300 b 8.30
Pipistrellus pipistrellus DK ATL 5054 0.76 + N/A N/A N/A d 0 + x N Y U1 + good unk poor U1 U1 + FV N/A N/A 1200 b 0.22
Pipistrellus pipistrellus DK CON 11196 1.39 + N/A N/A N/A d 0 + x Y FV = good unk good FV FV + FV N/A N/A 4300 b 0.91
Pipistrellus pipistrellus DE CON 290880 36.12 = 290880 210428 210428 210428 grids1x1 estimate b 6.34 = 2157 grids5x5 Y FV = good good unk FV FV = FV noChange noChange 228500 c 48.11
Pipistrellus pipistrellus DE ATL 72298 10.92 = 72298 43399 43399 43399 grids1x1 minimum c 1.84 = grids5x5 Y FV = good good good FV FV = FV noChange noChange 47100 c 8.77
Pipistrellus pipistrellus DE ALP 4155 2.04 = 4155 3747 3747 3747 grids1x1 estimate b 0.46 = 70 grids5x5 Y FV = good good good FV FV = FV noChange noChange 4100 c 3.74
Pipistrellus pipistrellus SK ALP 16899.69 8.28 = 1228 1228 N/A grids1x1 estimate b 0.15 + Y FV x good good good FV FV = XX knowledge knowledge 17200 b 15.71
Pipistrellus pipistrellus RO STE 2400 100 + 500 2000 N/A grids1x1 minimum b 100 + Y FV + good good good FV FV + U1 = knowledge knowledge 900 b 100
Pipistrellus pipistrellus HU PAN 93011 87.50 = N/A N/A 648 grids1x1 minimum c 40.75 u Y FV = good good good FV FV = FV noChange genuine 18800 b 63.51
Pipistrellus pipistrellus RO CON 35400 4.40 = 2000 5000 N/A grids1x1 minimum b 0.11 = Y FV = good good good FV FV = U1 = knowledge knowledge 12100 b 2.55
Pipistrellus pipistrellus RO ALP 14400 7.05 = 1000 5000 N/A grids1x1 minimum b 0.37 = Y FV = good good good FV FV = U1 = knowledge knowledge 4300 b 3.93
Pipistrellus pipistrellus BG CON 77100 9.57 = 77100 N/A N/A 351 grids1x1 minimum b 0.01 = 351 grids1x1 Y FV = unk unk unk XX FV = FV method method 13000 b 2.74
Pipistrellus pipistrellus PT ATL 5900 0.89 = 5900 N/A N/A 40 grids1x1 minimum b 0 x 5900 grids1x1 Unk XX x good unk unk XX XX XX noChange knowledge 2100 b 0.39
Pipistrellus pipistrellus SI CON 12616 1.57 = 100 121 N/A grids1x1 estimate c 0 u > Y XX x good poor unk U1 U1 x XX knowledge noChange 5300 c 1.12
Pipistrellus pipistrellus UK ATL 233480 35.27 = 230973 N/A N/A 31559 grids1x1 minimum a 1.34 + i Y FV = good good good FV FV + FV noChange noChange 213300 a 39.70
Pipistrellus pipistrellus ES MED 300700 43.97 = > 1528 152800 N/A grids1x1 estimate b 6.22 x 152800 grids1x1 Y U1 = poor good poor FV U1 = U1 x noChange noChange 155800 a 41.33
Pipistrellus pipistrellus MT MED 409 0.06 = N/A N/A 119 grids1x1 estimate b 0.01 = N Y FV = good good good FV FV = FV noChange knowledge 1000 b 0.27
Pipistrellus pipistrellus SI ALP 7656 3.75 = 138 159 N/A grids1x1 estimate c 0.02 u > Y XX x good poor unk U1 U1 x XX knowledge noChange 4700 c 4.29
Pipistrellus pygmaeus DE CON 271805 50.58 = 271805 46874 46874 46874 grids1x1 estimate b 49.86 + grids5x5 Y FV = good unk good FV FV + U1 = knowledge knowledge 80600 c 41.57
Pipistrellus pygmaeus SI CON 12616 2.35 = 12616 100 108 N/A grids1x1 estimate c 0.11 u > Y XX x good poor unk U1 U1 x XX knowledge noChange 4500 c 2.32
Pipistrellus pygmaeus MT MED 63 0.01 = N/A N/A 63 grids1x1 estimate b 0.01 = Y FV = good good good FV FV = FV noChange knowledge 900 c 0.28
Pipistrellus pygmaeus IE ATL 79900 18.27 = 79900 N/A N/A 3759 grids1x1 minimum b 6.77 + 1000000 i Y FV = good good good FV FV + FV noChange noChange 70400 a 22.91
Pipistrellus pygmaeus CZ PAN 5500 18 + 5500 1327 1327 N/A grids1x1 estimate a 59.69 + 1327 grids1x1 Y FV = good good good FV FV + FV noChange noChange 2800 a 10.49
Pipistrellus pygmaeus CZ CON 55200 10.27 + 4780 4780 N/A grids1x1 estimate a 5.08 + 4780 grids1x1 Y FV = good good good FV FV + FV noChange noChange 25200 a 13
Pipistrellus pygmaeus HR MED 2200 0.40 x >> N/A N/A 9 grids1x1 minimum c 0 x x N Unk U1 x poor unk poor U1 U2 x N/A N/A 2000 b 0.61
Pipistrellus pygmaeus PT MED 77300 14.16 = 77300 N/A N/A 639 grids1x1 minimum b 0.07 x 77300 grids1x1 Y FV = good good good FV FV = FV noChange knowledge 26900 b 8.27
Pipistrellus pygmaeus PT ATL 2500 0.57 = 4600 N/A N/A 6 grids1x1 minimum b 0.01 x 2500 grids1x1 Unk XX x good unk unk XX XX XX noChange knowledge 600 b 0.20
Pipistrellus pygmaeus CY MED 7315 1.34 x x N/A N/A 13 grids1x1 estimate b 0 x x Unk XX x unk unk unk XX XX XX noChange noChange 9800 c 3.01
Pipistrellus pygmaeus BG BLS 7900 100 = 7900 N/A N/A 4 grids1x1 minimum b 100 = 4 grids1x1 Y FV = unk unk unk XX FV - FV knowledge knowledge 400 b 100
Pipistrellus pygmaeus BG ALP 10900 17.10 = 10900 N/A N/A 14 grids1x1 minimum b 0.10 = 14 grids1x1 Y FV = unk unk unk XX FV - FV knowledge knowledge 1000 b 4.17
Pipistrellus pygmaeus HR ALP 900 1.41 x >> N/A N/A 5 grids1x1 minimum c 0.04 x >> N Unk XX x unk unk unk XX U2 x N/A N/A 700 b 2.92
Pipistrellus pygmaeus HR CON 20100 3.74 x > N/A N/A 90 grids1x1 minimum b 0.10 x >> N Unk U1 x unk unk poor XX U2 x N/A N/A 19300 b 9.95
Pipistrellus pygmaeus ES MED 277900 50.89 = > 1470 147000 N/A grids1x1 estimate b 8.09 x 147000 grids1x1 Y FV u good good good FV U1 = U1 + noChange knowledge 150500 a 46.26
Pipistrellus pygmaeus HU PAN 24327 79.62 = N/A N/A 847 grids1x1 minimum c 38.10 u Y FV = good good good FV FV = FV noChange method 23200 b 86.89
Pipistrellus pygmaeus ES ATL 50800 11.62 = > 275 27500 N/A grids1x1 estimate b 25.01 x 27500 grids1x1 Y FV u good good good FV U1 = U1 + noChange knowledge 25000 a 8.14
Pipistrellus pygmaeus ES ALP 8200 12.86 = > 37 3700 N/A grids1x1 estimate b 13.61 x 3700 grids1x1 Y FV u poor unk good FV U1 = U1 + noChange knowledge 1900 a 7.92
Pipistrellus pygmaeus BE CON 9300 1.73 = N/A N/A 35 grids1x1 minimum c 0.04 x x Unk XX x good unk unk XX XX N/A N/A knowledge noChange 2300 b 1.19
Pipistrellus pygmaeus AT CON 12200 2.27 = 445 N/A N/A grids1x1 minimum b 0.47 = Y FV = good good good FV FV = FV noChange noChange 10000 b 5.16
Pipistrellus pygmaeus AT ALP 8800 13.80 = 239 N/A N/A grids1x1 minimum b 1.74 = Y FV = good good good FV FV = FV noChange noChange 7300 b 30.42
Pipistrellus pygmaeus FR ALP 4800 7.53 x x 5000 13400 N/A grids1x1 minimum c 67.03 x x Unk Unk XX x unk unk good XX XX x XX noChange noChange 3000 b 12.50
Pipistrellus pygmaeus PL ALP 1400 2.20 x x N/A N/A 700 grids1x1 minimum b 5.10 x x Y FV = unk unk good XX XX XX noChange noChange 700 b 2.92
Pipistrellus pygmaeus BG CON 58800 10.94 = 58800 N/A N/A 51 grids1x1 minimum b 0.05 = 51 grids1x1 Y FV u poor poor poor U1 U1 = FV knowledge knowledge 3700 b 1.91
Pipistrellus pygmaeus LT BOR 65200 25.63 x x N/A N/A 195 grids1x1 minimum c 0.41 x x Unk XX x unk unk unk XX XX XX noChange noChange 13000 b 14.67
Pipistrellus pygmaeus FI BOR N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 1300 a 0
Pipistrellus pygmaeus SE CON 25300 4.71 = 25300 N/A N/A 677 grids1x1 estimate c 0.72 = 230000 i Y FV = good good good FV FV = FV noChange noChange 14300 b 7.37
Pipistrellus pygmaeus SE BOR 124600 48.98 = 124600 N/A N/A 2589 grids1x1 estimate c 5.44 = 3100000 i Y FV = good good good FV FV = FV noChange noChange 71300 b 80.47
Pipistrellus pygmaeus FR ATL 14300 3.27 x x 9200 26800 N/A grids1x1 minimum b 32.42 x x Unk Unk XX x good unk unk XX XX x XX noChange noChange 11900 b 3.87
Pipistrellus pygmaeus DK ATL 8019 1.83 + N/A N/A N/A d 0 + > N Y U1 + good unk poor U1 U1 + U1 x N/A N/A 1500 b 0.49
Pipistrellus pygmaeus PL CON 22400 4.17 x N/A N/A 8400 grids1x1 estimate b 8.94 x x Y FV = good unk good FV FV x XX knowledge noChange 8400 b 4.33
Pipistrellus pygmaeus SK PAN 727.79 2.38 + > 49 49 N/A grids1x1 estimate c 2.20 + Y FV x good good good FV FV = XX knowledge knowledge 700 b 2.62
Pipistrellus pygmaeus UK ATL 217326 49.69 = 217326 N/A N/A 13687 grids1x1 minimum a 24.65 = Y FV = good good good FV FV = FV noChange noChange 181800 a 59.16
Pipistrellus pygmaeus BE ATL 11700 2.68 + N/A N/A 41 grids1x1 estimate b 0.07 + x Unk XX x unk unk unk XX XX N/A N/A knowledge knowledge 2800 b 0.91
Pipistrellus pygmaeus SK ALP 2167.33 3.40 + > 155 155 N/A grids1x1 estimate c 1.13 + Y FV x good good good FV FV = XX knowledge knowledge 2300 b 9.58
Pipistrellus pygmaeus DK CON 27151 5.05 = N/A N/A N/A d 0 u x Y FV = good unk good FV FV x FV N/A N/A 12600 b 6.50
Pipistrellus pygmaeus DE ALP 2223 3.49 = x 663 663 663 grids1x1 estimate b 4.83 x x grids5x5 Y XX u unk unk unk XX XX x XX noChange noChange 700 c 2.92
Pipistrellus pygmaeus LV BOR 64589 25.39 = 64589 25000 64589 N/A grids1x1 estimate b 94.15 x 64589 grids1x1 Y XX x good unk unk XX XX XX noChange noChange 4300 b 4.85
Pipistrellus pygmaeus FR CON 15300 2.85 x 16000 48000 N/A grids1x1 minimum b 34.04 x < Y FV = good unk poor U1 U1 x XX knowledge noChange 10900 b 5.62
Pipistrellus pygmaeus EE BOR 1300 0 + N/A N/A 12 grids1x1 minimum b 0 + x Y FV = good good good FV FV + FV noChange genuine 800 a 0
Pipistrellus pygmaeus FR MED 34100 6.25 = 500000 1000000 N/A grids1x1 minimum c 81.78 x < Y Y U1 - good unk poor U1 U1 x U1 x noChange noChange 25900 b 7.96
Pipistrellus pygmaeus IT ALP 16700 26.20 + > 155 1550 N/A grids1x1 estimate c 6.21 = > Y U1 - good poor poor U1 U1 - U1 - noChange noChange 4200 b 17.50
Pipistrellus pygmaeus DE ATL 52781 12.07 + 6141 6141 6141 grids1x1 minimum b 11.06 + x grids5x5 Unk XX + good unk unk XX XX + XX noChange knowledge 13300 c 4.33
Pipistrellus pygmaeus IT CON 7200 1.34 = > 100 1000 N/A grids1x1 estimate c 0.59 = > Y U1 - good poor poor U1 U1 - U1 - noChange noChange 2100 b 1.08
Pipistrellus pygmaeus IT MED 33500 6.14 = > 355 3550 N/A grids1x1 estimate c 0.21 = > Y U1 - good poor poor U1 U1 - U1 - noChange noChange 9200 b 2.83
Pipistrellus pygmaeus GR MED 113657 20.81 = N/A N/A 90236 grids1x1 estimate b 9.84 x Unk XX x good poor unk U1 U1 x U1 x noChange noChange 100100 b 30.77
Pipistrellus pygmaeus SI ALP 7656 12.01 = 7656 25 33 N/A grids1x1 estimate c 0.21 u > Y XX x good poor unk U1 U1 x XX knowledge noChange 2200 c 9.17
Plecotus auritus FR ATL 60700 12.16 = 41200 43800 N/A grids1x1 mean b 51.26 = Y Y XX = good good good FV XX = FV noChange noChange 46200 b 13.47
Plecotus auritus DK CON 12014 1.89 = N/A N/A N/A d 0 u x Y FV = good unk good FV FV x FV N/A N/A 4200 b 1.09
Plecotus auritus DK ATL 113 0.02 u x N/A N/A N/A d 0 u x Unk Y XX u unk unk unk XX XX x FV N/A N/A 100 b 0.03
Plecotus auritus HR ALP 4100 3.35 x >> N/A N/A 21 grids1x1 minimum b 0.11 x >> Unk XX x unk unk poor XX U2 x N/A N/A 3600 b 5.21
Plecotus auritus HR CON 8200 1.29 x >> N/A N/A 32 grids1x1 minimum b 0.01 x >> N Unk XX x unk unk poor XX U2 x N/A N/A 8200 b 2.13
Plecotus auritus HR MED 1800 0 x x N/A N/A 4 grids1x1 minimum c 0 x x Unk XX N unk unk unk XX XX N/A N/A 1000 b 0
Plecotus auritus PL CON 86600 13.64 = N/A N/A 32500 grids1x1 minimum c 5.56 - N Y U1 - good poor poor U1 U1 - FV genuine genuine 32300 b 8.38
Plecotus auritus FI BOR 72900 16.05 = 244 72900 N/A grids1x1 estimate c 39.81 x x Y FV = good unk good FV FV = FV noChange noChange 12600 a 10.35
Plecotus auritus PL ALP 1500 1.23 = N/A N/A 600 grids1x1 minimum c 3.04 x x Y FV x good unk good FV FV x FV noChange noChange 600 b 0.87
Plecotus auritus PT ATL 1500 0.30 = 1500 N/A N/A 4 grids1x1 minimum b 0 x x Unk XX x good unk unk XX XX U1 x knowledge noChange 400 b 0.12
Plecotus auritus PT MED 14100 10.20 = 14100 N/A N/A 71 grids1x1 minimum b 0.20 x x Unk XX x good unk unk XX XX U1 x knowledge noChange 4600 b 9.13
Plecotus auritus BE CON 14100 2.22 = N/A N/A 350 grids1x1 minimum a 0.06 + Y FV x good good good FV FV = FV noChange noChange 10100 b 2.62
Plecotus auritus FR ALP 9900 8.10 = 6500 8300 N/A grids1x1 mean b 37.55 = Y Y FV = good good good FV FV = XX knowledge noChange 7400 b 10.71
Plecotus auritus DE CON 289087 45.55 = 162426 162426 162426 grids1x1 estimate b 27.77 = grids5x5 Y FV = good good unk FV FV = FV noChange noChange 208500 c 54.10
Plecotus auritus HU PAN 33559 81.19 u > N/A N/A 170 grids1x1 minimum c 40.67 u > Y U1 u unk unk poor XX U1 x U1 - noChange noInfo 8200 c 65.60
Plecotus auritus FR CON 38100 6 = 64000 700000 N/A grids1x1 mean b 65.31 u Y Y FV = good unk good FV FV = FV noChange noChange 26100 b 6.77
Plecotus auritus CZ CON 81400 12.82 = 4508 4508 N/A grids1x1 estimate a 0.77 = > Y FV = good poor good XX U1 = U1 = noChange noChange 54100 a 14.04
Plecotus auritus CZ PAN 5800 14.03 = 128 128 N/A grids1x1 estimate a 30.62 = > Y FV = good poor good XX U1 = U1 = noChange noChange 1800 a 14.40
Plecotus auritus BE ATL 21700 4.35 = N/A N/A 620 grids1x1 estimate b 0.75 + Y FV x good good good FV FV = FV noChange knowledge 15300 b 4.46
Plecotus auritus FR MED 7600 5.50 = 4490 5000 N/A grids1x1 mean b 13.12 x Y Unk FV = good unk poor U1 U1 = FV knowledge noChange 5500 b 10.91
Plecotus auritus IT MED 14100 10.20 = 500 9000 N/A grids1x1 estimate c 13.13 = > N N U1 - good poor poor U1 U1 - U1 - knowledge noChange 4300 b 8.53
Plecotus auritus IT CON 32600 5.14 = 200 2000 N/A grids1x1 estimate c 0.19 = > N Y U1 - good poor poor U1 U1 - U1 - knowledge noChange 8100 b 2.10
Plecotus auritus IT ALP 36100 29.53 = 1000 11000 N/A grids1x1 estimate c 30.45 - > Y FV = good poor poor U1 U1 - FV knowledge knowledge 12900 b 18.67
Plecotus auritus DE ALP 3720 3.04 = 1986 1986 1986 grids1x1 estimate b 10.08 = grids5x5 Y FV = good good good FV FV = FV noChange noChange 2200 c 3.18
Plecotus auritus NL ATL 37400 7.49 = N/A N/A 1414 grids1x1 estimate b 1.71 + N N U1 = good good poor U1 U1 + U1 + noChange noChange 33500 b 9.77
Plecotus auritus BG CON 22900 3.61 = 22900 N/A N/A 11 grids1x1 minimum c 0 u 1 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange noInfo 16100 b 4.18
Plecotus auritus SE CON 26100 4.11 = 26100 N/A N/A 216 grids1x1 estimate c 0.04 = 7000 i Y FV = good good good FV FV = FV noChange noChange 8900 c 2.31
Plecotus auritus ES ATL 35900 7.19 x > 111 11100 N/A grids1x1 estimate b 6.76 x 11100 grids1x1 Y U1 - poor unk poor XX U1 x U1 x noChange noChange 11500 a 3.35
Plecotus auritus ES ALP 15000 12.27 = > 60 6000 N/A grids1x1 estimate b 15.37 x 6000 grids1x1 Y FV = poor unk good XX U1 = U1 = noChange noChange 5400 a 7.81
Plecotus auritus ES MED 69600 50.34 = > 169 16900 N/A grids1x1 estimate b 23.59 x 16900 grids1x1 Y U1 u poor unk poor XX U1 x U1 x noChange noChange 16700 a 33.13
Plecotus auritus SE BOR 209900 46.22 = 209900 N/A N/A 1582 grids1x1 estimate c 1.72 = 150000 i Y FV = good good good FV FV = FV noChange noChange 69200 c 56.86
Plecotus auritus LT BOR 65200 14.36 = N/A N/A 148 grids1x1 minimum b 0.16 = x Y FV x good good good FV FV = U1 = knowledge knowledge 11100 b 9.12
Plecotus auritus BG BLS 700 100 = 700 N/A N/A 1 grids1x1 minimum c 100 u 1 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange noInfo 1300 b 100
Plecotus auritus BG ALP 21500 17.59 = 21500 N/A N/A 17 grids1x1 minimum c 0.09 u 1 grids1x1 Y FV = unk unk unk XX XX = FV noInfo noInfo 14200 b 20.55
Plecotus auritus LV BOR 64589 14.22 = 64589 44135 62364 N/A grids1x1 estimate b 57.97 - 62364 grids1x1 Y XX x good poor unk U1 U1 x U1 - noChange noChange 16000 b 13.15
Plecotus auritus EE BOR 41500 9.14 + N/A N/A 307 grids1x1 minimum b 0.33 = x Y FV = good good good FV FV + FV knowledge noChange 12800 a 10.52
Plecotus auritus AT CON 4700 0.74 = 54 N/A N/A grids1x1 minimum c 0.01 x Y FV = good unk good FV FV = FV noChange noChange 3600 b 0.93
Plecotus auritus AT ALP 8300 6.79 = 90 N/A N/A grids1x1 minimum b 0.46 = Y FV = good good good FV FV = FV noChange noChange 7000 b 10.13
Plecotus auritus IE ATL 62200 12.46 = 62200 N/A N/A 571 grids1x1 minimum b 0.69 + 62000 adults Y FV = good good good FV FV + FV noChange noChange 34200 b 9.97
Plecotus auritus RO ALP 1700 1.39 = 100 300 N/A grids1x1 minimum b 1.01 = Y U1 = poor poor poor U1 U1 + U1 = knowledge knowledge 700 b 1.01
Plecotus auritus RO CON 2500 0.39 = 250 400 N/A grids1x1 minimum b 0.06 = Y U1 = poor poor poor U1 U1 + U1 x knowledge knowledge 1100 b 0.29
Plecotus auritus RO STE 300 100 = 25 100 N/A grids1x1 minimum b 100 = Y U1 = poor poor poor U1 U1 + U1 x knowledge knowledge 200 b 100
Plecotus auritus DE ATL 65707 13.16 = 17713 17713 17713 grids1x1 estimate c 21.36 + 216 grids5x5 Y FV = good unk unk XX FV + FV noChange knowledge 29400 c 8.57
Plecotus auritus LU CON 3800 0.60 = N/A N/A 1400 grids1x1 estimate c 0.24 - > N N U1 - good poor poor U1 U1 - U1 x noChange genuine 2800 c 0.73
Plecotus auritus GR MED 32862 23.77 x x N/A N/A 18076 grids1x1 estimate b 49.97 x x N Unk U1 x unk poor poor U1 U1 x U1 x noChange noChange 19300 b 38.29
Plecotus auritus SK PAN 1976.45 4.78 = 120 120 N/A grids1x1 estimate c 28.71 = Y FV x good good good FV FV = XX knowledge knowledge 2500 b 20
Plecotus auritus SK ALP 12805.17 10.48 = 343 343 N/A grids1x1 estimate c 1.74 = Y FV x good good good FV FV = XX knowledge knowledge 13600 b 19.68
Plecotus auritus SI CON 12616 1.99 = 12616 14 17 N/A grids1x1 estimate c 0 u > Y XX x good poor unk U1 U1 x FV knowledge noChange 1300 c 0.34
Plecotus auritus SI ALP 7615 6.23 = 19 22 N/A grids1x1 estimate c 0.10 u > Y XX x good poor unk U1 U1 x FV knowledge noChange 1500 c 2.17
Plecotus auritus UK ATL 214049 42.87 = 214049 N/A N/A 14482 grids1x1 minimum a 17.47 = Y FV x good good good FV FV = FV noChange noChange 172300 a 50.25
Plecotus austriacus HR CON 7500 1.50 x >> N/A N/A 25 grids1x1 minimum b 0.01 x >> N Unk U1 x poor poor poor U1 U2 x N/A N/A 7500 b 3.67
Plecotus austriacus CZ PAN 5800 5.72 = 98 98 N/A grids1x1 estimate a 19.41 - >> Y FV = good poor good XX U2 - U2 = noChange noChange 2000 a 8.62
Plecotus austriacus CZ CON 72600 14.54 - > 1323 1323 N/A grids1x1 estimate a 0.56 - >> Y FV = poor poor good XX U2 - U2 = noChange noChange 30900 a 15.13
Plecotus austriacus BG CON 58200 11.65 u 58200 N/A N/A 48 grids1x1 minimum b 0.02 = 48 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange method 4200 b 2.06
Plecotus austriacus UK ATL 7338 5.32 u 7338 N/A N/A 108 grids1x1 minimum b 0.03 u > Unk Unk XX x unk unk unk XX U1 x U1 - noChange noInfo 4900 b 7.47
Plecotus austriacus GR MED 58905 16.35 x x N/A N/A 41332 grids1x1 estimate b 50.56 x x Unk XX x unk unk unk XX XX XX noChange noChange 43300 b 32.05
Plecotus austriacus FR MED 25600 7.11 = 12700 14300 N/A grids1x1 mean b 16.51 x Y Y FV = good good poor U1 U1 = U1 x noChange noChange 19600 b 14.51
Plecotus austriacus BG BLS 6400 100 u 6400 N/A N/A 7 grids1x1 minimum b 100 = 7 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange knowledge 500 b 100
Plecotus austriacus FR CON 25500 5.11 = 145600 145600 N/A grids1x1 mean b 61.78 = Y Y FV = good good unk FV FV = U1 = knowledge noChange 18500 b 9.06
Plecotus austriacus SK ALP 9767.53 18.04 x 195 195 N/A grids1x1 estimate c 3.66 x Y FV x unk good good FV FV x XX knowledge N/A 9900 b 46.05
Plecotus austriacus SK PAN 2554.23 2.52 x 82 82 N/A grids1x1 estimate c 16.24 x Y FV x unk good good FV FV x XX knowledge N/A 2900 b 12.50
Plecotus austriacus PL CON 35500 7.11 x N/A N/A 10300 grids1x1 minimum b 4.37 x x Unk XX x good unk unk XX XX XX noChange noChange 10300 b 5.04
Plecotus austriacus PL ALP 2200 4.06 x N/A N/A 200 grids1x1 minimum b 3.76 x x Unk XX x good unk unk XX XX XX noChange noChange 200 b 0.93
Plecotus austriacus FR ATL 46500 33.68 = 314500 334000 N/A grids1x1 mean c 97.61 = Y Y FV = good good good FV FV = U1 = knowledge noChange 37000 b 56.40
Plecotus austriacus FR ALP 3700 6.83 = 2400 3400 N/A grids1x1 mean b 54.46 x Y Y FV = good unk good FV FV = U1 = noChange noChange 2200 b 10.23
Plecotus austriacus BE CON 13200 2.64 = N/A N/A 175 grids1x1 minimum a 0.07 x > Y FV = good poor good FV U1 x U1 x noChange noChange 6400 b 3.13
Plecotus austriacus BE ATL 16500 11.95 + N/A N/A 131 grids1x1 estimate b 0.04 + > Unk XX x good good unk FV U1 = U2 x knowledge knowledge 5100 b 7.77
Plecotus austriacus RO ALP 2100 3.88 = 250 500 N/A grids1x1 minimum b 7.04 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 700 b 3.26
Plecotus austriacus RO CON 4000 0.80 = 250 700 N/A grids1x1 minimum b 0.20 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 2400 b 1.18
Plecotus austriacus RO STE 400 100 = 25 60 N/A grids1x1 minimum b 100 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 200 b 100
Plecotus austriacus IT ALP 4700 8.68 = 30 300 N/A grids1x1 estimate c 3.10 - > Y FV = good poor poor U1 U1 - XX knowledge noChange 800 b 3.72
Plecotus austriacus HR ALP 300 0.55 x >> N/A N/A 1 grids1x1 minimum c 0.02 x >> N Unk U1 x poor unk poor U1 U2 x N/A N/A 300 b 1.40
Plecotus austriacus IT CON 44100 8.83 = 450 4500 N/A grids1x1 estimate c 1.05 = N Y U1 - good poor poor U1 U1 - U1 - noChange noChange 8800 b 4.31
Plecotus austriacus DE ATL 17718 12.83 = 2554 2554 2554 grids1x1 estimate c 0.77 x > grids5x5 Unk XX x unk unk unk XX U1 x U1 = noChange noInfo 3400 b 5.18
Plecotus austriacus IT MED 34800 9.66 = > 50 500 N/A grids1x1 estimate c 0.34 = N Y U1 - good poor poor U1 U1 - U1 - noChange noChange 6300 b 4.66
Plecotus austriacus PT MED 18700 5.19 = 18700 N/A N/A 130 grids1x1 minimum b 0.16 x x Unk XX x good unk unk XX XX U1 x knowledge noChange 7500 c 5.55
Plecotus austriacus LU CON 3600 0.72 = N/A N/A 1300 grids1x1 estimate c 0.55 - >> N N U2 - good bad bad U2 U2 - U1 x genuine genuine 3200 c 1.57
Plecotus austriacus PT MAC 1400 100 x x N/A N/A N/A minimum d 0 x x Unk Unk XX x unk unk unk XX XX XX noChange noChange 1300 c 100
Plecotus austriacus PT ATL 2100 1.52 = 2100 N/A N/A 4 grids1x1 minimum b 0 x x Unk XX x good unk unk XX XX U1 x method noChange 300 c 0.46
Plecotus austriacus DE CON 218185 43.68 - 223015 73827 73827 73827 grids1x1 estimate b 31.33 - >> grids5x5 N Y U1 - poor unk unk XX U2 - U1 - genuine noChange 89500 b 43.83
Plecotus austriacus AT ALP 1300 2.40 x 13 N/A N/A grids1x1 minimum b 0.24 x > Y FV = good unk poor U1 U1 x U1 - noChange noInfo 4200 b 19.53
Plecotus austriacus ES ATL 41700 30.21 = > 100 10000 N/A grids1x1 estimate b 1.52 x 10000 grids1x1 Y U1 x poor unk poor U1 U1 - U1 - noChange noChange 9900 a 15.09
Plecotus austriacus SI CON 8375 1.68 x x 24 25 N/A grids1x1 estimate b 0.01 u > Y U1 - unk poor poor U1 U1 x U1 - noChange noInfo 1700 c 0.83
Plecotus austriacus AT CON 7500 1.50 - 82 N/A N/A grids1x1 minimum b 0.03 x > Y U1 - good poor poor U1 U1 - U1 - noChange noChange 20500 b 10.04
Plecotus austriacus ES ALP 6700 12.38 x > 29 2900 N/A grids1x1 estimate b 27.50 x 2900 grids1x1 Y U1 x poor unk poor U1 U1 - U2 x noChange noChange 2000 a 9.30
Plecotus austriacus ES MED 222200 61.69 = > 525 52500 N/A grids1x1 estimate b 32.43 x 52500 grids1x1 Y FV x poor unk good XX U1 x U1 x noChange noChange 58400 a 43.23
Plecotus austriacus BG ALP 20700 38.24 = 20700 N/A N/A 10 grids1x1 minimum b 0.19 = 10 grids1x1 Y FV = good good good FV FV = FV noChange knowledge 1000 b 4.65
Plecotus austriacus SI ALP 2666 4.92 x x 1 2 N/A grids1x1 estimate c 0.03 u > Y U1 - unk poor poor U1 U1 x XX knowledge noChange 200 c 0.93
Plecotus austriacus NL ATL 6200 4.49 + N/A N/A 103 grids1x1 estimate a 0.03 + >> Y FV + good poor good U1 U2 + U2 + noChange noChange 5000 b 7.62
Plecotus austriacus HU PAN 93011 91.76 = N/A N/A 325 grids1x1 minimum c 64.36 - > Y U1 u good poor poor U1 U1 x U1 - noChange method 18300 b 78.88
Plecotus austriacus SE CON 1200 0.24 u 15000 N/A N/A 2 grids1x1 estimate c 0 u 1000 i N Unk U2 x bad unk unk U2 U2 x U2 x noChange knowledge 300 b 0.15
Plecotus gaisleri MT MED 59 100 = N/A N/A 59 grids1x1 estimate b 100 = N Y U1 = poor poor poor U1 U1 = N/A N/A noChange noChange 1100 b 100
Plecotus kolombatovici CY MED 5082 4.07 x x N/A N/A 14 grids1x1 estimate b 0.01 x x Y XX = unk unk good XX XX XX noChange noChange 6200 b 5.31
Plecotus kolombatovici GR MED 113419 90.81 x N/A N/A 95187 grids1x1 estimate b 99.96 x x Unk XX x unk unk unk XX XX XX noChange noChange 104300 b 89.30
Plecotus kolombatovici HR MED 6400 5.12 x >> N/A N/A 28 grids1x1 minimum c 0.03 x >> N Unk U1 x poor poor poor U1 U2 x N/A N/A 6300 c 5.39
Plecotus macrobullaris HR CON 1200 7.21 x >> N/A N/A 6 grids1x1 minimum c 1.42 x >> Unk U1 x poor poor poor U1 U2 x N/A N/A 1400 b 26.92
Plecotus macrobullaris HR ALP 2600 6.12 x >> N/A N/A 5 grids1x1 minimum c 0.08 x >> N Unk U1 x poor poor poor U1 U2 x N/A N/A 2100 b 13.13
Plecotus macrobullaris SI CON 10038 60.33 = 29 32 N/A grids1x1 estimate c 7.24 u Y U1 - good poor poor U1 U1 x U1 - noChange noInfo 2300 b 44.23
Plecotus macrobullaris SI ALP 7656 18.03 = 25 28 N/A grids1x1 estimate c 0.44 u Y U1 - good poor poor U1 U1 x U1 - noChange noInfo 2100 b 13.13
Plecotus macrobullaris ES ALP 5500 12.95 = > 25 2500 N/A grids1x1 estimate a 20.82 = 46 localities Y FV = poor unk good U1 U1 x U1 x noChange noChange 2800 a 17.50
Plecotus macrobullaris FR ALP 3500 8.24 = 3000 4000 N/A grids1x1 mean c 57.72 = x Unk Y FV = good unk poor U1 U1 = XX knowledge noChange 2600 c 16.25
Plecotus macrobullaris FR MED 3200 6.73 x 30 30 N/A grids1x1 mean b 0.09 x N Y FV = unk unk good XX XX x XX knowledge noChange 2600 c 6.37
Plecotus macrobullaris HR MED 3000 6.31 x >> N/A N/A 9 grids1x1 minimum c 0.03 x >> N Unk U1 x poor poor poor U1 U2 x N/A N/A 2600 b 6.37
Plecotus macrobullaris IT ALP 20700 48.76 + x 225 2250 N/A grids1x1 estimate c 20.41 = Unk XX = good good poor U1 U1 + XX knowledge knowledge 4200 b 26.25
Plecotus macrobullaris GR MED 41320 86.95 x x N/A N/A 34253 grids1x1 estimate b 99.89 x x Unk XX x unk unk unk XX XX XX noChange noChange 35600 b 87.25
Plecotus macrobullaris FR CON 1000 0 x 2 2 N/A grids1x1 mean c 0 x x Unk Unk XX x unk unk good XX XX x N/A N/A knowledge noChange 600 c 0
Plecotus macrobullaris AT ALP 2500 5.89 - > 32 N/A N/A grids1x1 minimum b 0.53 x > Y FV = poor unk good U1 U1 x U1 x noChange noChange 2200 b 13.75
Plecotus macrobullaris IT CON 5400 32.46 = > 70 700 N/A grids1x1 estimate c 91.34 = Y FV = good poor poor U1 U1 = XX knowledge knowledge 1500 b 28.85
Plecotus sardus IT MED 1100 100 = 500 5000 N/A i estimate c 100 = N Y U1 - good good good FV U1 - U1 x noChange noChange 300 b 100
Plecotus teneriffae ES MAC 693.57 100 u 1460 N/A N/A 31 grids1x1 estimate b 100 u 88 grids1x1 Y FV = good good good FV U2 x XX noChange noChange 1700 b 100
Pseudorca crassidens PT MMAC 1450200 100 = x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX XX N/A N/A 21000 c 100
Pseudorca crassidens FR MATL 300 0 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange 300 c 0
Pseudorca crassidens ES MATL 3037.92 0 x x 1 N/A N/A i minimum c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 4200 b 0
Pseudorca crassidens FR MMED N/A 0 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange N/A c 0
Pseudorca crassidens ES MMAC N/A 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A b 0
Pseudorca crassidens MT MMED N/A 0 N N/ N/A N/A N/A i estimate a 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Pseudorca crassidens PT MATL N/A 0 N N/ N/A N/A N/A N/A 0 x x N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A c 0
Pseudorca crassidens NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Pseudorca crassidens GR MMED N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A d 0
Pseudorca crassidens HR MMED N/A 0 N N/ N/A N/A N/A N/A 0 N N/ XX N N/A N/A N/A XX XX N/A N/A N/A N/A 0
Pseudorca crassidens IE MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A XX XX noChange N/A N/A N/A 0
Pseudorca crassidens UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange N/A d 0
Pseudorca crassidens ES MMED N/A 0 x x N/A N/A N/A i estimate c 0 x x Unk XX x unk unk unk XX XX XX noInfo noInfo N/A b 0
Pseudorca crassidens IT MMED N/A 0 x x N/A N/A N/A d 0 x x N/A N N/A N/A N/A N/A N/A N/A XX N/A N/A N/A N/A 0
Pteromys volans EE BOR 2000 0.95 - >> 130 300 N/A i interval a 0.07 - 1000 i N N U2 - poor bad bad U2 U2 - U2 - noChange noChange 1600 a 1.21
Pteromys volans LV BOR N/A 0 = x N/A N/A N/A i estimate b 0 = x N/A N N/A N/A N/A N/A N/A N/A U2 - N/A N/A N/A b 0
Pteromys volans FI BOR 208100 99.05 = 100000 500000 N/A i estimate c 99.93 - x N N U1 - good poor poor U1 U1 - U1 - noChange noChange 130400 a 98.79
Pusa hispida NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Pusa hispida UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange N/A d 0
Pusa hispida botnica LV MBAL 7048 4.13 = 278 509 N/A i estimate b 2.08 = 500 i Unk U1 - poor poor poor U2 U2 - U2 = knowledge noChange N/A b 0
Pusa hispida botnica FI MBAL 111900 65.57 = N/A N/A 10000 i estimate a 52.91 + Unk XX = unk good poor U1 U1 + U1 x noChange method 104300 a 71.44
Pusa hispida botnica PL MBAL N/A 0 N x N/A N/A N/A i estimate a 0 N x Unk XX N unk unk unk XX XX U2 x N/A N/A N/A N/A 0
Pusa hispida botnica EE MBAL 29800 17.46 = x 1000 1200 N/A i minimum a 5.82 - > Unk U1 u good poor unk U1 U2 x U1 x N/A N/A 23000 b 15.75
Pusa hispida botnica SE MBAL 21900 12.83 = 28900 4809 10000 7405 i mean b 39.18 + 7500 i N N U1 = poor good poor U2 U2 + U2 + noChange noChange 18700 b 12.81
Pusa hispida saimensis FI BOR 11600 100 + 344 430 392 i estimate a 100 + >> Y U1 - good poor poor U1 U2 = U2 + noChange knowledge 8400 a 100
Rangifer tarandus fennicus FI BOR 61500 100 + 2200 2300 N/A i estimate a 100 + Y FV = good good good FV FV + U1 + genuine noChange 51500 a 100
Rhinolophus blasii BG CON 73200 90.48 = 73200 1550 2000 N/A i minimum b 70.30 = 1550 i Y FV = poor poor poor U1 U1 = U1 = method method 3800 b 62.30
Rhinolophus blasii HR MED 9400 6.43 x > N/A N/A 350 i minimum b 8.19 x > Unk XX x unk unk unk XX U1 x N/A N/A 8200 b 5.02
Rhinolophus blasii GR MED 127010 86.93 = 2100 5000 N/A i estimate b 83.04 x Unk XX x good poor unk U1 U1 x U1 x noChange noChange 143900 b 88.01
Rhinolophus blasii RO ALP 1600 6.27 = 300 700 N/A i minimum b 76.92 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 600 b 40
Rhinolophus blasii RO CON 7700 9.52 = 500 1000 N/A i minimum b 29.70 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 2300 b 37.70
Rhinolophus blasii CY MED 9689 6.63 x 250 500 N/A i estimate c 8.77 x Y U1 = good poor poor U1 U1 x FV knowledge noChange 11400 b 6.97
Rhinolophus blasii BG BLS 4300 100 = 4300 300 2500 N/A i minimum b 100 = 1300 i Y FV = poor poor poor U1 U1 = FV method method 1100 b 100
Rhinolophus blasii BG ALP 23900 93.73 u 23900 100 200 N/A i minimum b 23.08 u 100 i Y FV = unk unk unk XX XX = U1 = method method 900 b 60
Rhinolophus euryale PT ATL 800 1.29 x 800 N/A N/A N/A b 0 x x Unk XX x unk unk unk XX XX XX noChange knowledge 200 b 0.82
Rhinolophus euryale SK PAN 428.77 5.72 + 7 303 N/A i estimate b 3.01 + Y FV = good good good FV FV = U1 = knowledge N/A 300 b 13.04
Rhinolophus euryale FR MED 11400 3.27 = 7100 7200 N/A i mean a 12.34 + Y Y FV + good good poor U1 U1 + U1 + noChange noChange 6400 a 3.18
Rhinolophus euryale PT MED 16800 4.81 = 16800 3000 N/A N/A i minimum c 5.18 = 3000 i Unk XX - good good unk FV FV - U1 x knowledge knowledge 4800 b 2.39
Rhinolophus euryale BG BLS 8300 100 = 8300 1500 2500 N/A i minimum b 100 = 1500 i Y FV = unk unk unk XX FV = FV method method 1300 b 100
Rhinolophus euryale SI CON 8409 7.29 = N/A N/A 440 i minimum a 1.42 = 27 grids1x1 N Unk U2 - good good bad U2 U2 - U2 x noChange knowledge 2200 b 8
Rhinolophus euryale SK ALP 1897.06 3.93 + 117 1103 N/A i estimate b 9.98 = Y FV = good good good FV FV = U1 - knowledge knowledge 1600 b 14.04
Rhinolophus euryale FR CON 4400 3.81 = 2500 3000 N/A i mean a 8.86 = < Y FV = good unk poor U1 U1 = U2 - noChange noChange 2300 a 8.36
Rhinolophus euryale FR ALP 5000 10.35 = > 1500 2000 N/A i mean a 28.63 = N Y U1 = good good poor U1 U1 = U2 - knowledge noChange 1600 a 14.04
Rhinolophus euryale HU PAN 7069 94.28 u 4000 6000 N/A i estimate a 96.99 u Y FV = good good poor U1 U1 x FV genuine method 2000 a 86.96
Rhinolophus euryale FR ATL 14800 23.87 + 20900 22000 N/A i mean a 97.20 + Y Y FV = good good poor U1 U1 + U2 = genuine noChange 9400 a 38.37
Rhinolophus euryale IT ALP 2600 5.38 = 100 1800 N/A i estimate c 15.54 - > N Y FV = good poor good FV U2 - XX knowledge noChange 1100 b 9.65
Rhinolophus euryale BG ALP 22900 47.41 = 22900 100 200 N/A i minimum b 2.45 = 100 i Y FV = good good good FV FV = U1 = method method 1600 b 14.04
Rhinolophus euryale ES ALP 4500 9.32 u > 1139 N/A N/A i minimum b 18.64 x 10 localities Unk U1 x poor poor good U1 U1 = U1 = noChange noChange 500 a 4.39
Rhinolophus euryale ES ATL 46400 74.84 = > 617 N/A N/A i minimum b 2.80 u 52 localities Y FV = good poor good U1 U1 - U1 - noChange noChange 14900 a 60.82
Rhinolophus euryale ES MED 129900 37.21 = > 18384 N/A N/A i minimum b 31.72 u 89 localities Y XX u good poor unk U1 U1 = U1 = noChange noChange 32200 a 16.02
Rhinolophus euryale GR MED 115347 33.05 = 2275 5000 N/A i estimate b 6.28 x Unk XX x good poor unk U1 U1 x U1 x noChange noChange 113100 b 56.27
Rhinolophus euryale IT CON 12100 10.48 = 320 9500 N/A i estimate c 15.82 - >> N Y U1 = good poor good FV U2 - U2 - knowledge knowledge 4000 b 14.55
Rhinolophus euryale RO CON 5100 4.42 = 500 1200 N/A i minimum b 2.74 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 1000 b 3.64
Rhinolophus euryale RO ALP 1400 2.90 = 500 1000 N/A i minimum b 12.27 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 100 b 0.88
Rhinolophus euryale IT MED 50000 14.32 = 5000 40000 N/A i estimate c 38.82 - >> N Y U1 = good poor good FV U2 - U2 - noChange noChange 17700 b 8.81
Rhinolophus euryale HR MED 17300 4.96 x > N/A N/A 3125 i minimum b 5.39 x > Unk XX x poor unk poor U1 U1 x N/A N/A 16500 b 8.21
Rhinolophus euryale HR CON 7800 6.76 x >> N/A N/A 1090 i minimum b 3.51 x > N Unk XX x poor unk poor U1 U2 x N/A N/A 7100 b 25.82
Rhinolophus euryale HR ALP 6600 13.67 x > N/A N/A 688 i minimum b 11.26 x > N Unk XX x unk unk poor XX U1 x N/A N/A 4500 b 39.47
Rhinolophus euryale SI ALP 3401 7.04 = N/A N/A 75 i minimum a 1.23 = Y FV = good good good FV FV = FV noChange noChange 400 b 3.51
Rhinolophus euryale CY MED 8307 2.38 x x 120 200 N/A i estimate c 0.28 x x Y XX = unk unk good XX XX XX noChange noChange 10300 c 5.12
Rhinolophus euryale BG CON 77600 67.24 = 77600 20000 22000 N/A i minimum b 67.65 = 20000 i Y FV = unk unk unk XX FV = FV noChange method 10900 b 39.64
Rhinolophus ferrumequinum RO PAN 1900 6.01 = 1000 3000 N/A i minimum b 21.71 = Y FV = good good good FV FV = U1 = knowledge knowledge 700 b 7.14
Rhinolophus ferrumequinum RO CON 15100 4.12 = 10000 15000 N/A i minimum b 17.08 = Y FV = good good good FV FV = U1 = knowledge knowledge 4000 b 3.14
Rhinolophus ferrumequinum RO ALP 10000 6.72 = 10000 20000 N/A i minimum b 46.11 = Y FV = good good good FV FV = U1 = knowledge knowledge 2700 b 5.14
Rhinolophus ferrumequinum IT CON 93900 25.61 = 15000 30000 N/A i estimate c 30.74 - > Y U1 - good poor poor U1 U1 - U1 - noChange noChange 22000 b 17.28
Rhinolophus ferrumequinum FR ATL 155100 57.02 + 47000 50000 N/A i mean a 78.35 + Y Y U1 - good good poor U1 U1 = U1 x noChange noChange 68600 a 46.86
Rhinolophus ferrumequinum IT MED 158300 22.86 = 22000 45000 N/A i estimate c 23.85 - > Y U1 - good poor poor U1 U1 - U2 - noChange noChange 49200 b 14.15
Rhinolophus ferrumequinum FR ALP 21900 14.72 = 500 1000 N/A i mean c 2.31 = < Y U1 = good good poor U1 U1 = U1 = noChange noChange 6800 a 12.95
Rhinolophus ferrumequinum AT ALP 3700 2.49 = >> N/A N/A 145 i estimate a 0.45 = >> Y U1 = poor bad poor U2 U2 = U2 = noChange noChange 2700 b 5.14
Rhinolophus ferrumequinum AT CON 1700 0.46 = >> 18 N/A N/A i minimum b 0.02 = >> Y U1 = bad bad poor U2 U2 = U2 = noChange noChange 1500 b 1.18
Rhinolophus ferrumequinum GR MED 128083 18.50 = 5000 10000 N/A i estimate b 5.34 x Unk XX x good poor unk U1 U1 x U1 x noChange noChange 140100 b 40.30
Rhinolophus ferrumequinum BE ATL 2300 0 - >> 1 5 3 i estimate a 0 u >> Unk XX x bad bad unk U2 U2 x U2 = noChange noChange 400 a 0
Rhinolophus ferrumequinum BE CON 11599 3.16 + 750 2000 750 i estimate b 1.02 + 2000 iwintering Y FV x good good good FV U1 = U2 + genuine noChange 6300 a 4.95
Rhinolophus ferrumequinum CY MED 9689 1.40 x 100 150 N/A i estimate b 0.09 x x Y U1 = good unk poor FV U1 x U1 = noChange noChange 9500 b 2.73
Rhinolophus ferrumequinum LU CON 2500 0.68 = 400 450 N/A i interval a 0.58 + > N Unk U1 - good poor poor U1 U1 + U1 = noChange genuine 1000 a 0.79
Rhinolophus ferrumequinum BG CON 97400 26.57 = 97400 13000 18000 N/A i minimum b 21.18 = 13000 i Y FV = good good good FV FV = FV method method 23900 b 18.77
Rhinolophus ferrumequinum HR MED 20600 2.97 x N/A N/A 4200 i minimum b 2.99 x > N Unk U1 x unk unk poor XX U1 x N/A N/A 25400 b 7.31
Rhinolophus ferrumequinum UK ATL 43015 15.81 + 43015 9245 18530 12951 i estimate a 20.92 + 12951 i Y FV = good good good FV FV + FV noChange noChange 29100 a 19.88
Rhinolophus ferrumequinum PT ATL 2800 1.03 = 2800 N/A N/A N/A b 0 x x Unk XX x good unk unk XX XX XX noChange knowledge 500 b 0.34
Rhinolophus ferrumequinum HR CON 20600 5.62 x > N/A N/A 5150 i minimum b 7.04 x N Unk U1 x good unk poor U1 U1 x N/A N/A 19500 b 15.32
Rhinolophus ferrumequinum HR ALP 10200 6.86 x > N/A N/A 260 i minimum b 0.80 x >> N Unk XX x poor unk poor U1 U2 x N/A N/A 7600 b 14.48
Rhinolophus ferrumequinum HU PAN 28946 91.53 = 4000 10000 N/A i estimate b 76 = > Y U1 = good good poor U1 U1 = U1 - noChange method 8300 b 84.69
Rhinolophus ferrumequinum SI CON 11374 3.10 = N/A N/A 577 i minimum a 0.79 = 195 grids1x1 N Unk U2 - good good bad U2 U2 - U2 x noChange knowledge 6800 b 5.34
Rhinolophus ferrumequinum SI ALP 7622 5.12 = N/A N/A 333 i minimum a 1.02 = 80 grids1x1 N Unk U2 - good good bad U2 U2 - U2 - noChange noChange 3500 b 6.67
Rhinolophus ferrumequinum PT MED 46000 6.64 = 46000 4000 N/A N/A i minimum c 2.85 = 4000 i Unk XX - good good unk FV FV - U1 + knowledge knowledge 17400 b 5.01
Rhinolophus ferrumequinum NL ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Rhinolophus ferrumequinum FR MED 63100 9.11 = 22625 90502 N/A i estimate b 40.28 + < Y Y U1 = good good poor U1 U1 + U2 = noChange noChange 28500 a 8.20
Rhinolophus ferrumequinum IT ALP 53200 35.75 = 6000 15000 N/A i estimate c 32.28 - > N Y U1 - good poor poor U1 U1 - U1 - noChange noChange 14400 b 27.43
Rhinolophus ferrumequinum BG ALP 26000 17.47 = 26000 2600 3600 N/A i minimum b 9.53 = 2600 i Y FV = good good good FV FV = FV noChange method 7100 b 13.52
Rhinolophus ferrumequinum CZ PAN N/A 0 x x N/A N/A N/A i estimate a 0 x x Y FV = unk unk good XX XX U2 = N/A N/A N/A a 0
Rhinolophus ferrumequinum CZ CON 900 0 x >> 1 5 N/A i estimate a 0 = >> Y FV = bad bad good U2 U2 = U2 = noChange noChange 600 a 0
Rhinolophus ferrumequinum FR CON 103000 28.09 = 15000 16000 N/A i mean a 21.18 + < Y Y XX - good good poor U1 U1 x U1 = noChange noChange 38500 a 30.24
Rhinolophus ferrumequinum BG BLS 9200 100 = 9200 1100 3500 N/A i minimum b 100 = 1100 i Y FV = good good good FV FV = FV method method 2700 b 100
Rhinolophus ferrumequinum SK PAN 778.05 2.46 = 161 261 N/A i estimate b 2.29 + Y FV x good good good FV FV = U1 - knowledge knowledge 800 b 8.16
Rhinolophus ferrumequinum SK ALP 7373.81 4.96 = 331 3131 N/A i estimate b 5.32 + Y FV x good good good FV FV = U1 - knowledge knowledge 6300 b 12
Rhinolophus ferrumequinum ES ALP 8800 5.91 = x 713 N/A N/A i minimum b 2.19 x 700 i Y U1 x good poor unk U1 U1 x U1 - noChange genuine 1400 a 2.67
Rhinolophus ferrumequinum ES ATL 71100 26.14 = 450 N/A N/A i minimum b 0.73 = 1500 i Y U1 = good good poor U1 U1 = U1 = noChange noChange 48200 a 32.92
Rhinolophus ferrumequinum ES MED 266700 38.51 = 34548 N/A N/A i minimum b 24.60 u 399 localities Y U1 u good poor poor U1 U1 = U1 - noChange knowledge 77500 a 22.30
Rhinolophus ferrumequinum DE CON 9453 2.58 + 16062 176 398 272 i mean a 0.37 + >> bfemales N Y U1 = bad bad poor U2 U2 + U2 + noChange noChange 3800 b 2.99
Rhinolophus ferrumequinum PL CON 100 0 x x N/A N/A 1 i minimum c 0 x x Unk XX x unk unk unk XX XX XX noChange noChange 100 b 0
Rhinolophus ferrumequinum RO STE 1400 100 = 300 500 N/A i minimum b 100 = Y FV = good good good FV FV = U1 = knowledge knowledge 600 b 100
Rhinolophus hipposideros IE ATL 11300 4.77 - 11400 N/A N/A 12791 i estimate a 13.14 + 12791 i N N U1 - poor good poor U1 U1 - FV genuine genuine 7400 a 4.64
Rhinolophus hipposideros SK PAN 3033.60 8.57 = 137 1003 N/A i estimate b 6.18 + Y FV x good good good FV U1 = U1 - N/A N/A 2900 b 19.33
Rhinolophus hipposideros SK ALP 21321.98 10.93 = 1761 19480 N/A i estimate b 16.13 + Y FV x good good good FV FV = U1 - knowledge knowledge 17600 b 17.98
Rhinolophus hipposideros PL ALP 9100 4.66 = N/A N/A 6500 i estimate a 9.87 + Y FV u good unk poor U1 U1 = U1 + noChange knowledge 4500 a 4.60
Rhinolophus hipposideros PL CON 9200 2.28 = N/A N/A 5500 i estimate a 4.17 + Y FV u good unk poor U1 U1 = U1 + noChange knowledge 3200 a 1.88
Rhinolophus hipposideros IT ALP 41700 21.38 = 5000 30000 N/A i estimate c 26.58 - > N Y U1 - good poor poor U1 U1 - U1 - noChange noChange 12100 b 12.36
Rhinolophus hipposideros HU PAN 25669 72.51 = 3000 10000 N/A i estimate b 70.50 + Y U1 = good good poor U1 U1 + FV knowledge method 10000 b 66.67
Rhinolophus hipposideros IT CON 68500 16.94 = 5000 40000 N/A i estimate c 17.05 - > Y U1 - good poor poor U1 U1 - U1 - knowledge noChange 19600 b 11.50
Rhinolophus hipposideros ES ALP 15600 8 = > 575 N/A N/A i minimum b 0.87 x 21 localities Y U1 u poor unk poor U1 U1 - U1 - noChange noChange 4900 a 5.01
Rhinolophus hipposideros ES ATL 68000 28.70 = > 5000 N/A N/A i minimum b 5.14 - 5000 i Y U1 = good poor poor U1 U1 - U1 - noChange noChange 45000 a 28.20
Rhinolophus hipposideros ES MED 234000 36.02 = > 10186 15716 N/A i minimum b 6.79 u 270 localities Y U1 - good poor poor U1 U1 x U1 = noChange genuine 75000 a 20.24
Rhinolophus hipposideros DE CON 23114 5.72 + 27634 12380 13586 12867 i minimum a 9.75 + > bfemales N N U2 = bad poor unk U2 U2 + U2 + noChange noChange 11400 b 6.69
Rhinolophus hipposideros DE ALP 2997 1.54 + > 278 468 348 i mean a 0.53 + >> bfemales Y FV = unk bad good U2 U2 + U2 + noChange noChange 2000 b 2.04
Rhinolophus hipposideros RO STE 200 100 = 100 200 N/A i minimum b 100 = Y FV = good good good FV FV = U1 = knowledge knowledge 200 b 100
Rhinolophus hipposideros RO PAN 1800 5.08 = 500 800 N/A i minimum b 7.05 = Y FV = good good good FV FV = U1 = knowledge knowledge 900 b 6
Rhinolophus hipposideros IT MED 140300 21.59 = 8000 50000 N/A i estimate c 15.21 - > Y U1 - good poor poor U1 U1 - U1 - noChange noChange 43000 b 11.61
Rhinolophus hipposideros RO CON 16200 4.01 = 5000 10000 N/A i minimum b 5.68 = Y FV = good good good FV FV = U1 = knowledge knowledge 4700 b 2.76
Rhinolophus hipposideros RO ALP 12300 6.31 = 5000 10000 N/A i minimum b 11.39 = Y FV = good good good FV FV = U1 = knowledge knowledge 3300 b 3.37
Rhinolophus hipposideros BE CON 4520 1.12 + 500 750 500 i estimate a 0.38 + 2000 iwintering Y FV = good good good FV U2 + U2 = noChange noChange 2700 a 1.58
Rhinolophus hipposideros AT ALP 27000 13.84 = > N/A N/A 16500 i estimate a 25.06 + > Y FV + good good good FV U1 + U1 + noChange noChange 21300 b 21.76
Rhinolophus hipposideros UK ATL 53334 22.51 + 53334 36000 73000 50400 i estimate a 51.78 + 50400 i Y FV = good good good FV FV + FV noChange noChange 44700 a 28.01
Rhinolophus hipposideros HR MED 25800 3.97 x N/A N/A 515 i minimum b 0.27 x >> N Unk U1 x good unk poor U1 U2 x N/A N/A 23700 b 6.40
Rhinolophus hipposideros HR CON 11700 2.89 x >> N/A N/A 1585 i minimum b 1.20 x > N Unk U1 x poor unk poor U1 U2 x N/A N/A 10400 b 6.10
Rhinolophus hipposideros HR ALP 11000 5.64 x N/A N/A 230 i minimum b 0.35 x >> N Unk U1 x good unk poor U1 U2 x N/A N/A 8400 b 8.58
Rhinolophus hipposideros BG ALP 25900 13.28 = 25900 2000 2500 N/A i minimum b 3.42 = 2000 i Y FV = good good good FV FV = FV noChange method 8200 b 8.38
Rhinolophus hipposideros BG BLS 9000 100 = 9000 200 500 N/A i minimum b 100 = 200 i Y FV = good good good FV FV = FV method method 2400 b 100
Rhinolophus hipposideros BG CON 94700 23.42 = 94700 3000 6500 N/A i minimum b 3.60 = 3000 i Y FV = good good good FV FV = FV method method 20500 b 12.02
Rhinolophus hipposideros CZ PAN 4900 13.84 + 1000 2000 N/A i estimate a 16.27 + Y FV = good good good FV FV + FV noChange noChange 1200 a 8
Rhinolophus hipposideros CZ CON 52200 12.91 + 30000 40000 N/A i estimate a 26.53 + Y FV = good good good FV FV + FV noChange noChange 28100 a 16.48
Rhinolophus hipposideros SI ALP 7656 3.92 = 7656 N/A N/A 325 i minimum a 0.49 + N Unk U2 - good good bad U2 U2 - U2 x noChange knowledge 6600 b 6.74
Rhinolophus hipposideros SI CON 12597 3.12 = N/A N/A 542 i minimum a 0.41 + N Unk U2 - good good bad U2 U2 - U2 x noChange knowledge 10000 b 5.87
Rhinolophus hipposideros PT MED 50500 7.77 = 50500 5000 N/A N/A i minimum c 2.62 = 5000 i Unk XX - good good unk FV FV - XX knowledge knowledge 19000 b 5.13
Rhinolophus hipposideros PT ATL 1900 0.80 = 1900 N/A N/A N/A b 0 x x Unk XX x good unk unk XX XX U1 x knowledge noChange 200 b 0.13
Rhinolophus hipposideros LU CON N/A 0 = 300 N/A N/A N/A i estimate b 0 = >> N Unk U1 x poor poor poor U1 U2 = U2 = noChange noChange N/A d 0
Rhinolophus hipposideros CY MED 9689 1.49 x 600 800 N/A i estimate b 0.37 x Y FV = good poor poor U1 U1 x U1 x noChange noChange 12400 b 3.35
Rhinolophus hipposideros FR ALP 20500 10.51 = 3000 4000 N/A i mean a 5.32 + < Y Y XX = good good poor U1 U1 + U1 = noChange noChange 9000 a 9.19
Rhinolophus hipposideros FR ATL 102400 43.22 = 28300 30000 N/A i mean a 29.95 + < Y Y FV = good good poor U1 U1 + U1 = noChange noChange 62300 a 39.04
Rhinolophus hipposideros GR MED 129471 19.93 = 3600 5000 N/A i estimate b 2.26 x Y FV = good unk good FV FV x FV noChange noChange 161100 b 43.48
Rhinolophus hipposideros AT CON 9500 2.35 = > N/A N/A 1700 i estimate a 1.29 + > Y FV = poor good good U1 U1 + U1 - noChange knowledge 7200 b 4.22
Rhinolophus hipposideros FR CON 102100 25.25 = 39000 40000 N/A i mean a 29.94 + < Y Y FV = good good poor U1 U1 + U1 = noChange noChange 52700 a 30.91
Rhinolophus hipposideros FR MED 59900 9.22 + 91917 183833 N/A i estimate a 72.32 + < Y Y FV = good good poor U1 U1 + U2 = genuine noChange 35800 a 9.66
Rhinolophus hipposideros MT MED 41 0.01 = 200 400 N/A i estimate b 0.16 = > N Y FV = good poor good U1 U1 = U1 = noChange noChange 500 b 0.13
Rhinolophus hipposideros NL ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Rhinolophus mehelyi GR MED 77752 56.86 = x 500 1000 N/A i estimate b 3.07 x x Unk XX x unk unk unk XX XX XX noChange noChange 49600 b 75.38
Rhinolophus mehelyi RO CON 500 0.77 u 25 80 N/A i minimum b 0.61 u Y U1 = poor poor poor U1 U1 x U1 - knowledge knowledge 400 b 9.52
Rhinolophus mehelyi FR MED N/A 0 - >> N/A N/A N/A i mean a 0 - >> Unk Y U2 - bad bad unk U2 U2 - U2 - noChange noChange N/A N/A 0
Rhinolophus mehelyi IT MED 17600 12.87 = 5000 16000 N/A i estimate c 43.04 - > N Y U1 - good poor poor U1 U1 - U1 - noChange noChange 3200 b 4.86
Rhinolophus mehelyi ES MED 34900 25.52 - > 10147 N/A N/A i estimate b 41.59 - 82 localities Unk U2 x poor bad poor U2 U2 - U2 + noChange knowledge 10800 a 16.41
Rhinolophus mehelyi PT MED 6500 4.75 = 6500 3000 N/A N/A i minimum c 12.30 = 3000 i Unk XX - good good unk FV FV - U1 x knowledge knowledge 2200 b 3.34
Rhinolophus mehelyi BG CON 64200 99.23 = 64200 7000 10000 N/A i minimum b 99.39 = 7000 i Y FV = poor poor poor U1 U1 = U1 x noChange method 3800 b 90.48
Rhinolophus mehelyi BG ALP 4300 100 = 4300 50 150 N/A i minimum b 100 = 150 i Y FV = good good good FV FV = U1 x knowledge knowledge 300 b 100
Rhinolophus mehelyi BG BLS 7600 100 = 7600 100 500 N/A i minimum b 100 = 100 i Y FV = poor poor poor U1 U1 = U1 x noChange method 400 b 100
Rhinolophus mehelyi RO STE 500 100 u 15 60 N/A i minimum b 100 u Y U1 = poor poor poor U1 U1 x U1 - knowledge knowledge 200 b 100
Rousettus aegyptiacus GR MED N/A 0 N N/ N/A N/A 3 i estimate b 0 x x Unk N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 200 b 0
Rousettus aegyptiacus CY MED 9689 100 x 1000 1500 N/A i estimate a 100 x > N N U1 - good bad bad U2 U2 x U1 = noChange noChange 13400 b 100
Rupicapra pyrenaica FR ATL 100 0 = > N/A N/A N/A estimate c 0 = > Unk Unk FV x good good good FV FV = N/A N/A noChange noChange 900 a 0
Rupicapra pyrenaica FR MED 100 0 = > N/A N/A N/A estimate c 0 = > Unk Unk FV x good good good FV FV = N/A N/A noChange noChange 1800 a 0
Rupicapra pyrenaica FR ALP 6006 29.15 + 31200 31200 N/A i minimum c 57.78 = Unk Unk FV x good good good FV FV = FV noChange noChange 8700 a 50
Rupicapra pyrenaica ES ALP 14600 70.85 = 22799 N/A N/A i estimate a 42.22 + 36000 i Y FV = poor poor poor FV U1 + FV genuine N/A 8700 a 50
Rupicapra pyrenaica ES ATL 12700 100 = 13096 N/A N/A i estimate a 100 + 15000 i Y U1 = good poor poor FV U1 + U1 + genuine N/A 8300 a 100
Rupicapra pyrenaica ES MED 12000 100 + 40199 N/A N/A i minimum a 100 + 14000 i Y FV = good poor poor FV U1 + FV genuine N/A 4200 a 100
Rupicapra pyrenaica ornata IT ALP 2700 100 = N/A N/A 2500 i estimate a 100 + Y FV = good good good FV FV + FV noChange genuine 1900 b 100
Rupicapra pyrenaica ornata IT MED 1700 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 700 b 0
Rupicapra pyrenaica ornata IT CON 1000 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 500 b 0
Rupicapra rupicapra RO ALP 12700 7.92 = 6040 6700 N/A i estimate a 1.83 = 6040 i Y FV = good good good FV FV = FV noChange noChange 8700 a 6.46
Rupicapra rupicapra AT CON 3300 6.16 = 300 1000 N/A i estimate b 6.87 = Y FV = good good good FV FV = FV noChange noChange 2500 b 5.76
Rupicapra rupicapra IT CON 5000 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 2100 b 0
Rupicapra rupicapra SI CON 4433 8.28 = 2000 3000 N/A i estimate c 26.41 = Y FV = good good good FV FV = FV noChange noChange 4000 b 9.22
Rupicapra rupicapra IT MED 1100 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 500 b 0
Rupicapra rupicapra RO CON 3200 5.98 = 10 20 N/A i estimate a 0.16 = 10 i Y FV = good good good FV FV = FV noChange noChange 600 a 1.38
Rupicapra rupicapra HR ALP 2660.69 1.66 = N/A N/A 503 i mean b 0.14 x > Y FV x good unk unk XX XX N/A N/A N/A d 0
Rupicapra rupicapra FR ALP 28600 17.83 = 86000 86000 N/A i estimate a 24.65 = < Y Unk FV x good good good FV FV = FV noChange noChange 22600 a 16.78
Rupicapra rupicapra AT ALP 52100 32.48 = 90000 130000 N/A i estimate c 31.53 = Y FV = good good good FV FV = FV noChange noChange 44600 b 33.11
Rupicapra rupicapra HR CON 418.37 0 = N/A N/A 50 i mean b 0 x > Y XX x good unk unk XX XX N/A N/A N/A d 0
Rupicapra rupicapra HR MED 1380.83 5.40 x N/A N/A 603 i mean b 5.20 x 800 i Y XX x good unk unk XX XX N/A N/A N/A d 0
Rupicapra rupicapra SI ALP 7324 4.57 = 5000 9000 N/A i estimate c 2.01 = Y FV = good good good FV FV = FV noChange noChange 7100 b 5.27
Rupicapra rupicapra DE ALP 4119 2.57 = 4119 N/A N/A N/A i estimate c 0 = 56 grids10x10 Y FV = good good good FV FV = FV noChange noChange 4800 c 3.56
Rupicapra rupicapra DE CON 1983 0 N N/ N/A N/A N/A minimum d 0 N N/ grids10x10 N/A N N/A N/A N/A XX N/A N/A N/A N/A noChange noChange 1500 c 0
Rupicapra rupicapra IT ALP 52900 32.98 = N/A N/A 139050 i estimate b 39.85 = Y FV = good good good FV FV = FV noChange noChange 46900 b 34.82
Rupicapra rupicapra FR MED 24200 94.60 + 11000 11000 N/A i estimate a 94.80 + Unk Unk FV x good good good FV FV = FV noChange noChange 18800 a 100
Rupicapra rupicapra FR CON 42600 79.58 = 6300 6300 N/A i estimate a 66.56 = < Y Unk FV x good good good FV FV = FV noChange noChange 36300 a 83.64
Rupicapra rupicapra balcanica BG ALP 16500 93.75 = 16500 1150 1750 N/A i estimate a 96.03 = 1750 i Y FV = poor poor poor U1 U1 = FV method method 7100 a 100
Rupicapra rupicapra balcanica BG CON 16800 100 = 16800 30 50 N/A i minimum b 100 - 50 i Y FV = poor poor poor U1 U1 - U1 = N/A N/A 900 a 100
Rupicapra rupicapra balcanica GR MED 9668 88.15 = 800 1300 N/A i estimate b 94.59 + >> Unk XX = good bad unk U2 U2 + U2 x noChange method 8300 c 100
Rupicapra rupicapra balcanica HR MED 1300 11.85 x x N/A N/A 60 i estimate c 5.41 x >> Unk XX x unk poor unk XX U2 x N/A N/A N/A b 0
Rupicapra rupicapra balcanica HR ALP 1100 6.25 x x N/A N/A 60 i estimate c 3.97 x >> Unk XX x unk poor unk XX U2 x N/A N/A N/A b 0
Rupicapra rupicapra tatrica PL ALP 600 33.08 = N/A N/A 421 i estimate a 31.22 + < Y FV = good good good FV FV + FV noChange genuine 200 a 13.33
Rupicapra rupicapra tatrica SK ALP 1213.95 66.92 = 800 1055 N/A i estimate a 68.78 + Y FV = poor good good FV U1 + U1 + N/A N/A 1300 b 86.67
Sciurus anomalus GR MED 1575 100 x 500 3000 N/A i estimate c 100 x 2000 i Unk XX x unk good good FV XX XX noChange noChange 2400 a 100
Sicista betulina DE ALP N/A 0 x x N/A N/A N/A d 0 x x localities Unk XX x unk unk unk XX XX x XX noChange noChange N/A a 0
Sicista betulina RO CON N/A 0 x x 100 120 N/A i minimum c 2.73 x 120 i Unk XX x unk unk unk XX XX XX N/A N/A N/A c 0
Sicista betulina RO ALP 100 0.62 x x 400 475 N/A i minimum c 1.97 x 475 i Unk XX x unk unk unk XX XX XX N/A N/A 100 c 1.23
Sicista betulina DK ATL 898 100 u > N/A N/A N/A d 0 u x Unk Unk XX - unk unk unk XX XX U1 x N/A N/A 800 b 100
Sicista betulina DK CON N/A 0 u > N/A N/A N/A d 0 u x Unk Unk XX - unk unk unk XX XX XX N/A N/A N/A b 0
Sicista betulina EE BOR 29300 14.75 = N/A N/A 60 i minimum c 0.01 x x Unk XX x good unk unk XX XX XX knowledge knowledge 7400 b 15.45
Sicista betulina CZ CON 4400 25.74 x x 1000 2000 N/A i estimate c 37.27 x x Y FV = unk unk good XX XX XX noChange noChange 2900 a 28.71
Sicista betulina SE ALP 500 3.10 = 500 4000 32000 18000 i estimate c 80.90 x 18000 i Y FV = good good good FV FV = FV noChange noChange 500 b 6.17
Sicista betulina SE BOR 24400 12.29 = 24400 142500 741000 230000 i estimate c 31.20 x 230000 i Y FV = good good good FV FV = U1 x noChange noChange 21600 b 45.09
Sicista betulina FI BOR 29300 14.75 = 10000 1000000 N/A i estimate c 68.50 x x Y FV x good unk good FV FV x FV noChange noChange 8100 a 16.91
Sicista betulina PL CON 11200 65.52 x x N/A N/A 2061 i estimate b 51.21 x x Y FV x unk unk unk XX XX XX noChange noChange 6300 b 62.38
Sicista betulina PL ALP 1500 9.29 x x N/A N/A 482 i minimum b 2.17 x x Y FV u unk unk good XX XX XX noChange noChange 900 b 11.11
Sicista betulina LV BOR 64589 32.52 x 64589 1000 3000 N/A i minimum b 0.27 + 3000 i Y XX x good good unk FV FV x XX knowledge noChange 3300 b 6.89
Sicista betulina LT BOR 51000 25.68 = x 100 200 N/A i minimum c 0.02 x x Y FV u good unk good FV FV x FV noChange noChange 7500 b 15.66
Sicista betulina SK ALP 2354.45 14.57 x > 100 500 N/A i estimate c 1.35 x > Y U1 x unk poor poor U1 U1 x U1 - N/A N/A 1500 b 18.52
Sicista betulina AT CON 900 5.27 = 7 700 N/A i minimum c 8.78 x >> N Y U2 - poor unk bad U2 U2 x U1 x knowledge knowledge 300 c 2.97
Sicista betulina AT ALP 11700 72.43 - > 60 6000 N/A i minimum c 13.62 x x N Y U1 - poor poor poor U1 U1 x U1 x noChange noChange 5100 c 62.96
Sicista betulina DE CON 594 3.47 x x N/A N/A N/A i estimate c 0 x x localities Y FV = unk unk unk XX XX x XX noChange noChange 600 a 5.94
Sicista subtilis BG BLS 100 0 x 100 N/A N/A N/A i minimum c 0 x Unk XX x unk unk unk XX XX x N/A N/A noChange noChange N/A d 0
Sicista subtilis HU PAN 700 100 u > N/A N/A 1000 i estimate c 100 u > N Unk U1 u poor unk unk XX U1 x U1 = noChange knowledge 400 a 100
Sicista subtilis PL CON 2500 89.29 x x 300 1000 N/A i estimate b 81.50 x x Unk XX x unk unk unk XX XX XX noChange noChange 1200 b 80
Sicista subtilis RO CON 300 10.71 x x 135 160 N/A i minimum c 18.50 x 160 i Y XX x bad bad bad U2 U2 - XX N/A N/A 300 b 20
Sicista subtilis RO STE N/A 0 - x N/A N/A N/A i minimum b 0 - 1 i N N U2 - bad bad bad U2 U2 - XX N/A N/A N/A b 0
Sicista subtilis BG CON 700 0 x 700 N/A N/A N/A i minimum c 0 x Unk XX x unk unk unk XX XX x N/A N/A noChange noChange 500 d 0
Spermophilus citellus RO CON 50700 31.03 = x 18400 22000 N/A i minimum b 9.80 - 22000 i Y U1 - good poor poor U1 U1 - U1 - N/A N/A 45800 b 41.64
Spermophilus citellus RO STE 34500 100 = x 12300 14800 N/A i minimum b 100 - 14800 i Y U1 - poor poor poor U1 U1 - U1 x N/A N/A 33200 b 100
Spermophilus citellus BG CON 92000 56.30 - 92000 4300 43000 N/A i minimum b 11.48 = 43000 i N Unk U2 - poor poor bad U2 U2 - FV knowledge knowledge 54200 b 49.27
Spermophilus citellus SK ALP 2306.20 9.57 - > 1000 5000 N/A i estimate b 25.42 - > Y U1 - poor poor poor U1 U2 - U2 - N/A N/A 2300 b 28.05
Spermophilus citellus RO PAN 12600 30.84 = x 4200 5200 N/A i minimum b 4.13 - 5200 i Y U1 - poor poor poor U1 U1 - U1 - N/A N/A 11100 b 29.76
Spermophilus citellus HU PAN 22372 54.76 - > 70000 140000 N/A i estimate b 92.19 - > Y U1 - poor poor poor U1 U1 - U1 - noChange noChange 23100 a 61.93
Spermophilus citellus PL CON 300 0.18 u >> N/A N/A 1477 i estimate a 0.72 + >> N Y U2 u bad bad bad U2 U2 x U2 + noChange N/A 300 a 0.27
Spermophilus citellus GR MED 13017 100 - > N/A N/A N/A b 0 - > N Unk U1 - poor poor poor U1 U1 - U1 x noChange method 11000 b 100
Spermophilus citellus HR CON N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Spermophilus citellus CZ CON 9700 5.94 = >> 2500 5000 N/A i estimate a 1.82 + > Unk U1 = bad poor poor U2 U2 + U2 = noChange noChange 2100 a 1.91
Spermophilus citellus BG ALP 21800 90.43 - 21800 1600 16000 N/A i minimum b 74.58 = 16000 i N Unk U2 - poor poor bad U2 U2 - FV knowledge knowledge 5900 b 71.95
Spermophilus citellus CZ PAN 4500 11.01 = > 800 1600 N/A i estimate a 1.05 + >> Unk U1 = poor bad poor U2 U2 + U2 = noChange noChange 1300 a 3.49
Spermophilus citellus BG BLS 9000 100 - 9000 400 4000 N/A i minimum b 100 - 4000 i Y FV = poor poor poor U1 U1 - FV knowledge knowledge 4500 b 100
Spermophilus citellus AT CON 10700 6.55 - 11900 140000 160000 157000 i estimate a 76.19 + 200000 i N N U1 = poor poor poor U1 U1 = U2 - genuine genuine 7600 a 6.91
Spermophilus citellus AT ALP 1300 0 N N/ N/A N/A 50 i estimate a 0 N N/ N/A N N/A N/A N/A N/A N/A N/A U2 - N/A N/A 300 a 0
Spermophilus citellus SK PAN 1385.74 3.39 - > 1000 5000 N/A i estimate b 2.63 - > Y U1 - poor poor poor U1 U2 - U2 - N/A N/A 1800 b 4.83
Spermophilus suslicus PL CON 3200 100 - 3500 3341 8387 N/A i estimate a 100 - 30000 i N Y U1 = poor poor unk U1 U2 - U2 + noChange genuine 2100 a 100
Stenella coeruleoalba UK MMED 87 0.01 = 87 90 200 200 i estimate b 0.05 = 200 i Y FV = good good good FV FV = FV noChange noChange 200 b 0.03
Stenella coeruleoalba GR MMED 486266 45.65 x 20000 80000 N/A i estimate b 11.81 x x Unk XX x unk unk unk XX XX XX noChange noChange 455300 b 60.63
Stenella coeruleoalba PT MMAC 1450200 96.57 = x N/A N/A 423 i minimum b 57.63 x x Unk FV x unk unk unk XX XX XX N/A N/A 29000 c 33.49
Stenella coeruleoalba IT MMED 331300 31.10 x N/A N/A 132000 i minimum b 31.18 x Y FV = good good good FV FV x XX knowledge noChange 35500 b 4.73
Stenella coeruleoalba FR MMED 110600 10.38 = x 18000 82000 N/A i interval b 11.81 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 104300 c 13.89
Stenella coeruleoalba UK MATL N/A 0 N N/ 9155 76471 26459 i interval a 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange 34600 b 0
Stenella coeruleoalba MT MMED 41 0 u x 517 641 N/A i estimate a 0.14 u x Unk Unk XX x unk unk unk XX XX XX noChange noChange 2600 a 0.35
Stenella coeruleoalba PT MATL 38420 3.62 = N/A N/A 19473 i mean a 8.08 u x Y XX u good unk unk XX XX U1 = N/A N/A 46700 c 9.40
Stenella coeruleoalba ES MMED 128518.52 12.07 x x 87831 384843 180595 i interval a 42.66 x Unk XX x unk unk unk XX XX U1 - noInfo noInfo 143200 b 19.07
Stenella coeruleoalba ES MMAC 51556.49 3.43 x x 311 N/A N/A i minimum c 42.37 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 57600 b 66.51
Stenella coeruleoalba HR MMED 8300 0.78 x x N/A N/A 10000 i interval a 2.36 N N/ XX N unk unk unk XX XX N/A N/A 9900 a 1.32
Stenella coeruleoalba ES MATL 241161.02 22.72 x x 73523 556015 207684 i interval a 86.12 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 221900 b 44.66
Stenella coeruleoalba IE MATL 587500 55.34 = 587500 6562 21424 N/A i interval b 5.80 u x Y FV = good unk good FV FV = FV noChange noChange 37500 b 7.55
Stenella coeruleoalba FR MATL 194500 18.32 = x N/A N/A N/A interval b 0 = x Unk Unk XX x unk unk unk XX XX = XX noChange noChange 190800 c 38.40
Stenella frontalis ES MMAC 127294.80 8.07 x x 22462 42090 34851 i estimate a 91.95 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 73800 a 35.96
Stenella frontalis PT MMAC 1450200 91.93 = x N/A N/A 3052 i minimum b 8.05 x x Unk FV x unk unk unk FV FV N/A XX noChange N/A 131400 c 64.04
Steno bredanensis IT MMED N/A 0 x x N/A N/A N/A d 0 x x N/A N N/A N/A N/A N/A N/A N/A XX N/A N/A N/A N/A 0
Steno bredanensis MT MMED N/A 0 N N/ N/A N/A N/A i estimate a 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Steno bredanensis GR MMED N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A d 0
Steno bredanensis FR MMED N/A 0 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange N/A c 0
Steno bredanensis PT MMAC 465300 94.27 x x N/A N/A N/A d 0 x x Unk Unk XX x unk unk unk XX XX XX N/A N/A N/A d 0
Steno bredanensis ES MMAC 28260.55 5.73 x x 503 4934 1575 i interval a 100 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 35300 a 100
Tadarida teniotis FR MED 59800 10.59 = 847 19500 N/A grids1x1 mean b 5.31 - Y Unk FV = unk bad unk U2 U2 - U1 x genuine knowledge 21900 b 6.95
Tadarida teniotis BG ALP 7700 11.58 u 7700 N/A N/A 5 grids1x1 minimum b 0.09 u 5 grids1x1 Y XX x unk unk unk XX XX x FV noInfo noInfo 400 b 2.52
Tadarida teniotis BG CON 4620 8.13 u 4620 N/A N/A 10 grids1x1 minimum b 0.08 u 10 grids1x1 Y XX u unk unk unk XX XX x FV noInfo noInfo 800 b 6.45
Tadarida teniotis ES ATL 29100 79.51 = 89 8900 N/A grids1x1 estimate b 98.14 = 8900 grids1x1 Y FV = good good good FV FV = U1 = knowledge knowledge 8200 a 78.85
Tadarida teniotis FR CON 13800 24.29 = 2000 3000 N/A grids1x1 mean c 19.86 = Unk Unk XX = good unk unk XX XX = XX knowledge noChange 3100 b 25
Tadarida teniotis FR ALP 23900 35.94 = 50 100 N/A grids1x1 mean c 1.28 = < N Y FV = good unk poor U1 U1 = XX knowledge noChange 6600 b 41.51
Tadarida teniotis ES MED 219300 38.82 = 615 61500 N/A grids1x1 estimate b 16.20 + 61500 grids1x1 Y FV = good good good FV FV = U1 = knowledge knowledge 67500 a 21.44
Tadarida teniotis CY MED 7824 1.39 x N/A N/A 13 grids1x1 estimate c 0.01 x x Y FV x good unk good FV FV x FV noChange noChange 8600 b 2.73
Tadarida teniotis GR MED 128030 22.67 = N/A N/A 125334 grids1x1 estimate b 65.36 = Y FV = good good good FV FV = FV noChange noChange 153500 b 48.75
Tadarida teniotis MT MED 14 0 N N/ N/A N/A 14 grids1x1 minimum b 0 N N/ N/A N N/A N/A N/A N/A N/A N/A U1 = N/A N/A 600 b 0
Tadarida teniotis FR ATL 3600 9.84 = 50 100 N/A grids1x1 mean c 1.64 = Unk Y FV = good unk unk XX FV = FV knowledge noChange 1400 b 13.46
Tadarida teniotis IT ALP 25900 38.95 = 350 7000 N/A grids1x1 estimate c 62.54 = Y FV = good good good FV FV = FV noChange noChange 6200 b 38.99
Tadarida teniotis ES MAC 7900 100 = 63 6300 N/A grids1x1 estimate b 100 = 6300 grids1x1 Y FV = good good good FV FV = U1 + knowledge knowledge 5600 a 100
Tadarida teniotis ES ALP 9000 13.53 + 42 4200 N/A grids1x1 estimate b 36.10 = 4200 grids1x1 Y FV = good good good FV FV = U1 x knowledge knowledge 2700 a 16.98
Tadarida teniotis IT CON 38400 67.58 = 960 19200 N/A grids1x1 estimate c 80.06 + Y FV = good good good FV FV + FV noChange noChange 8500 b 68.55
Tadarida teniotis IT MED 90900 16.09 = 2350 47000 N/A grids1x1 estimate c 12.87 = Y FV = good good good FV FV = FV noChange noChange 25800 b 8.19
Tadarida teniotis PT MED 37600 6.66 = 37600 N/A N/A 496 grids1x1 minimum b 0.26 x x Unk XX x good unk unk XX XX XX noChange knowledge 16200 b 5.14
Tadarida teniotis PT ATL 3900 10.66 = 3900 N/A N/A 10 grids1x1 minimum b 0.22 x x Unk XX x good unk unk XX XX XX noChange knowledge 800 b 7.69
Tadarida teniotis HR MED 21400 3.79 x > N/A N/A 16 grids1x1 minimum c 0.01 x >> N Unk U1 x good unk poor U1 U2 x N/A N/A 21400 b 6.80
Tursiops truncatus SI MMED 213 0.03 = 213 111 224 N/A i interval a 0.35 u N Unk U1 x good poor poor U1 U1 x XX knowledge noChange 200 a 0.04
Tursiops truncatus IT MMED 144700 23.09 x N/A N/A 8591 i minimum b 18.01 x Y FV x good unk good FV FV x XX knowledge noChange 37600 b 7.05
Tursiops truncatus UK MATL 1085484 49.23 = 1085484 6302 17865 10610 i interval a 6.94 x x Unk XX x good unk unk XX XX x FV method noChange 335200 b 28.88
Tursiops truncatus UK MMED 87 0.01 = 87 30 90 30 i estimate b 0.06 = 30 i Y FV = good good good FV FV = U1 = noChange noChange 200 b 0.04
Tursiops truncatus MT MMED 11904 1.90 = 79 224 N/A i interval a 0.32 = Y FV = good good good FV FV = XX knowledge knowledge 4900 a 0.92
Tursiops truncatus HR MMED 55349 8.83 = N/A N/A 6000 i interval a 12.58 = x Y FV = good unk unk XX FV = N/A N/A 69600 a 13.05
Tursiops truncatus GR MMED 117741 18.78 x 3800 9000 N/A i estimate b 13.42 x x N Unk U1 x unk unk poor XX U1 x U1 - noChange method 135900 b 25.48
Tursiops truncatus RO MBLS 24700 44.11 = 3402 12091 N/A i interval b 89.19 = > Y FV = good poor good U1 U1 = U1 - noChange knowledge 24800 b 80.78
Tursiops truncatus FR MATL 261700 11.87 = 6700 47000 N/A i interval b 17.55 = x Unk Unk XX x unk unk unk XX U1 = U1 x noChange noChange 257800 b 22.21
Tursiops truncatus FR MMED 104900 16.74 x x 610 18498 N/A i interval b 20.03 x x Unk Unk XX x unk unk unk XX XX x U1 x noChange noChange 102500 b 19.22
Tursiops truncatus CY MMED 18779 3 u 30 100 N/A i estimate b 0.14 = 200 i Y FV = good good good FV FV = U1 = knowledge knowledge 3500 b 0.66
Tursiops truncatus BG MBLS 31300 55.89 = 31300 545 1333 N/A i estimate a 10.81 x 9947 i N Y U2 - poor bad bad U2 U2 x XX knowledge knowledge 5900 a 19.22
Tursiops truncatus PT MATL 59820 2.71 + N/A N/A 6134 i estimate a 4.01 u x Y FV u good unk unk XX XX FV N/A N/A 67600 c 5.82
Tursiops truncatus PT MMAC 1450200 97.58 = x N/A N/A 1434 i minimum b 33.80 x x Unk FV x good unk good FV FV x XX noChange N/A 66700 c 59.61
Tursiops truncatus IE MATL 620000 28.12 = 620000 68714 147267 N/A i interval a 70.60 u Y FV = good good good FV FV = FV noChange noChange 326000 b 28.09
Tursiops truncatus NL MATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
Tursiops truncatus BE MATL 3451 0 N N/ N/A 30 N/A i N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 4800 N/A 0
Tursiops truncatus ES MMED 173121.15 27.62 x 5860 49019 16736 i interval a 35.09 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 179000 d 33.56
Tursiops truncatus ES MMAC 35962.64 2.42 x x 1878 3449 2808 i estimate a 66.20 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 45200 d 40.39
Tursiops truncatus ES MATL 177839.70 8.07 x x 283 7105 1372 i interval a 0.90 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 174100 d 15
Ursus arctos GR MED 36663 67.65 + 400 500 N/A i estimate b 69.77 + > Y U1 + good unk good FV U1 + U1 + noChange noChange 24100 b 57.38
Ursus arctos FI ALP 12700 5.15 = 30 60 N/A i estimate c 0.53 = Y FV = good good good FV FV = FV noChange noChange 3500 a 2.23
Ursus arctos RO CON 65600 60.23 = 1800 2050 N/A i estimate a 91.23 = 1370 i Y FV = good good good FV FV = FV noChange noChange 33600 a 70
Ursus arctos SE BOR 245300 35.86 + 245300 2152 2314 2234 i interval a 44.81 = 1090 i Y FV = good good good FV FV + FV genuine noChange 151500 b 33.16
Ursus arctos SE ALP 70600 28.63 = 70600 619 666 643 i interval a 7.50 = 310 i Y FV = good good good FV FV = FV noChange noChange 29700 b 18.92
Ursus arctos SI CON 7220 6.63 = 136 164 N/A i interval a 7.11 + < Y FV = good good good FV FV + FV noChange genuine 6500 a 13.54
Ursus arctos EE BOR 47500 6.94 + 650 700 N/A i mean a 13.54 + Y FV = good good good FV FV + FV genuine genuine 46200 a 10.11
Ursus arctos ES MED 13800 25.46 + > 55 N/A N/A i estimate a 8.53 + 55 i Y FV = good poor good U1 U1 + N/A N/A genuine genuine 6200 a 14.76
Ursus arctos FI BOR 335500 49.05 = 1900 2200 2050 i estimate a 41.12 + Y FV = good good good FV FV + FV noChange method 253200 a 55.42
Ursus arctos PL ALP 11500 4.66 = 99 166 122 i interval a 1.42 u N Unk U1 = good good poor U1 U1 = U1 - noChange knowledge 7000 a 4.46
Ursus arctos ES ATL 24500 100 + 243 292 N/A i estimate a 100 + 292 i Y U1 = good poor poor U1 U1 + U1 + noChange noChange 16000 a 100
Ursus arctos ES ALP 9200 3.73 + 31 33 N/A i estimate b 0.37 + 200 i Y FV = poor poor good FV U2 + U2 + genuine noChange 5400 a 3.44
Ursus arctos HR ALP 6325 2.57 = N/A N/A 750 i estimate a 8.75 = Y FV = good good good FV FV = N/A N/A 9700 a 6.18
Ursus arctos AT ALP 7200 2.92 - >> 2 8 N/A i minimum b 0.06 - >> Y FV = bad bad good U2 U2 - U2 - noChange noChange 4000 b 2.55
Ursus arctos IT MED 2000 3.69 = > 45 69 N/A i interval a 8.84 = >> Y FV = good good good FV U2 = U2 - genuine noChange 1100 b 2.62
Ursus arctos RO ALP 66800 27.09 = 4650 5150 N/A i mean a 57.17 + 4590 i Y FV = good good good FV FV + FV noChange noChange 48100 a 30.64
Ursus arctos LV BOR 55700 8.14 = x 23 30 N/A i minimum c 0.53 + 30 i Unk XX = unk good unk XX U1 + U2 + genuine genuine 6000 b 1.31
Ursus arctos HR MED 1730 3.19 + N/A N/A 83 i estimate a 12.87 = Unk XX x good good unk FV FV = N/A N/A 10600 a 25.24
Ursus arctos CZ CON 3100 2.85 = N/ N/A 3 N/A i a 0.07 = N/ Y U1 = bad bad poor U2 U2 = U2 = noChange noChange 2000 a 4.17
Ursus arctos FR ALP 2438 0.99 - > N/A N/A 43 i estimate a 0.50 + > N Y FV = good good good FV U2 + U1 + genuine genuine 4300 a 2.74
Ursus arctos BG ALP 23800 9.65 = 23800 343 510 N/A i estimate a 4.98 - 480 i Y FV = poor poor poor U1 U1 - FV knowledge method 13600 a 8.66
Ursus arctos BG CON 33000 30.30 = 33000 27 40 N/A i estimate a 1.59 - 45 i Y FV = poor poor poor U1 U1 - U1 = noChange noChange 5900 a 12.29
Ursus arctos SK ALP 21213.28 8.60 + 900 1300 N/A i estimate b 12.83 + Y FV + good good good FV FV + FV N/A knowledge 17900 b 11.40
Ursus arctos SI ALP 7209 2.92 = 409 491 N/A i interval a 5.25 + < Y FV = good good good FV FV + FV noChange genuine 7200 a 4.59
Ursus arctos HR CON 1200 0 + x N/A N/A 167 i estimate a 0 = N/A N N/A N/A N/A N/A N/A N/A N/A N/A 3900 a 0
Ursus arctos IT ALP 7600 3.08 + 45 63 N/A i estimate a 0.63 = > Y FV = good good good FV U1 + U1 + noChange genuine 6600 b 4.20
Vespertilio murinus FR ALP 6500 6.05 + 100 500 N/A grids1x1 mean c 7.43 = x Unk Y FV = good unk unk XX XX + XX knowledge knowledge 2700 b 6.37
Vespertilio murinus FR ATL 900 0 x x 10 20 N/A grids1x1 mean c 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange 700 b 0
Vespertilio murinus FR CON 2100 0.39 + 200 400 N/A grids1x1 mean c 0.67 x x Unk Y FV = good unk unk XX XX = U1 x noChange noChange 2200 b 1.32
Vespertilio murinus FR MED 850 1.47 x x 20 50 N/A grids1x1 mean c 0.10 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 400 b 0.95
Vespertilio murinus NL ATL 10300 21.74 x N/A N/A 121 grids1x1 estimate b 2.23 x x N N U1 x good unk poor U1 U1 x U2 = genuine noChange 8400 b 48.84
Vespertilio murinus PL ALP 4700 4.37 u N/A N/A 1000 grids1x1 estimate b 24.78 x x Y FV x good unk good FV FV x FV noChange noChange 1500 c 3.54
Vespertilio murinus PL CON 29800 5.49 = N/A N/A 5550 grids1x1 estimate c 12.45 x x Y FV x good good good FV FV x XX knowledge noInfo 10500 c 6.30
Vespertilio murinus SI CON 12616 2.33 = 12616 N/A N/A 1 grids1x1 estimate c 0 x x Y XX x good unk unk XX XX XX noChange noChange 100 c 0.06
Vespertilio murinus SI ALP 7656 7.13 = 7656 N/A N/A 66 grids1x1 estimate c 1.64 x x Y XX x good unk unk XX XX XX noChange noChange 2500 c 5.90
Vespertilio murinus LV BOR 64589 20.85 = 64589 37000 64589 N/A grids1x1 estimate b 97.03 x 64589 grids1x1 Y FV = good good good FV FV = XX knowledge knowledge 7800 b 11.08
Vespertilio murinus LU CON 200 0 x x N/A N/A 2 grids1x1 estimate c 0 x x Unk XX x unk unk unk XX XX XX noChange noChange 200 c 0
Vespertilio murinus GR MED 51745 89.53 x x N/A N/A 35691 grids1x1 estimate b 99.89 x x N Unk U1 x unk poor poor U1 U1 x U1 x noChange noChange 37300 b 88.60
Vespertilio murinus SK ALP 12364.26 11.51 x 626 626 N/A grids1x1 estimate c 15.51 + Y FV x unk good good FV FV x XX knowledge knowledge 10100 b 23.82
Vespertilio murinus SK PAN 2887.40 2.86 x 192 192 N/A grids1x1 estimate c 63.58 + Y FV x unk good good FV FV x XX knowledge knowledge 2900 b 58
Vespertilio murinus HU PAN 93011 92.27 = N/A N/A 14 grids1x1 minimum c 4.64 x Y FV x good unk good FV FV x FV noChange method 900 c 18
Vespertilio murinus FI BOR N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 2300 a 0
Vespertilio murinus DE ALP 3326 3.10 = 485 485 485 grids1x1 estimate b 12.02 x x grids5x5 Y FV = good unk good FV FV = XX knowledge knowledge 1700 c 4.01
Vespertilio murinus LT BOR 65200 21.05 = N/A N/A 224 grids1x1 minimum c 0.43 x x Unk FV = good unk good FV FV = FV knowledge knowledge 14900 b 21.16
Vespertilio murinus BE CON 1000 0 N N/ N/A N/A 5 grids1x1 minimum N/A 0 N N/ XX N N/A N/A N/A XX XX N/A N/A N/A N/A 300 b 0
Vespertilio murinus CZ CON 73400 13.53 = 1614 1614 N/A grids1x1 estimate a 3.62 = Y FV = good good good FV FV = FV noChange noChange 27300 a 16.38
Vespertilio murinus SE CON 25100 4.63 = 25100 N/A N/A 299 grids1x1 estimate c 0.67 = 6000 i Y FV = good good good FV FV = U2 = genuine genuine 9600 b 5.76
Vespertilio murinus SE BOR 163800 52.87 + 163800 N/A N/A 1060 grids1x1 estimate c 2.02 + 70000 i Y FV = good good good FV FV + U2 = genuine genuine 41700 b 59.23
Vespertilio murinus BE ATL 3200 0 N N/ N/A N/A 20 grids1x1 b 0 N N/ XX N N/A N/A N/A XX XX N/A N/A N/A N/A 1100 b 0
Vespertilio murinus HR ALP 3000 2.79 x >> N/A N/A 8 grids1x1 minimum c 0.20 x >> Unk XX x unk unk unk XX U2 x N/A N/A 2200 b 5.19
Vespertilio murinus HR CON 900 0.17 x >> N/A N/A 1 grids1x1 minimum c 0 x >> Unk XX x unk unk unk XX U2 x N/A N/A 900 b 0.54
Vespertilio murinus HR MED 5200 9 x >> N/A N/A 5 grids1x1 minimum c 0.01 x >> N Unk XX x poor poor poor U1 U2 x N/A N/A 4400 b 10.45
Vespertilio murinus UK ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A noChange noChange N/A d 0
Vespertilio murinus CZ PAN 4900 4.86 = 96 96 N/A grids1x1 estimate a 31.79 = Y FV = good good good FV FV = FV noChange noChange 1200 a 24
Vespertilio murinus IT CON 7800 1.44 + x 85 850 N/A grids1x1 estimate c 1.05 x Unk XX x good unk unk XX XX XX noChange knowledge 1500 b 0.90
Vespertilio murinus IT ALP 23400 21.78 + x 200 2000 N/A grids1x1 estimate c 27.26 x Unk XX x good unk unk XX XX XX noChange knowledge 4100 b 9.67
Vespertilio murinus DE ATL 28474 60.11 u 5310 5310 5310 grids1x1 estimate b 97.77 x x grids5x5 Unk XX x unk unk unk XX XX x XX noChange noChange 8100 c 47.09
Vespertilio murinus DE CON 262915 48.47 - 267224 35489 35489 35489 grids1x1 estimate b 79.59 x x grids5x5 N Unk U1 x poor unk unk XX U1 x XX knowledge noChange 76100 c 45.65
Vespertilio murinus AT CON 7700 1.42 = 123 N/A N/A grids1x1 minimum b 0.28 x x Y FV = good unk poor U1 U1 = U1 = noChange noChange 5600 b 3.36
Vespertilio murinus AT ALP 13400 12.47 = 195 N/A N/A grids1x1 minimum b 4.83 x x Y FV = good unk poor U1 U1 = U1 = noChange noChange 10600 b 25
Vespertilio murinus EE BOR 16200 5.23 + N/A N/A 271 grids1x1 estimate b 0.52 + x Y FV = good good good FV FV + FV noChange noChange 6000 a 8.52
Vespertilio murinus RO ALP 13000 12.10 = 100 300 N/A grids1x1 minimum b 4.96 = Y FV = good good good FV FV = U1 = knowledge knowledge 4500 b 10.61
Vespertilio murinus RO CON 40700 7.50 = 200 500 N/A grids1x1 minimum b 0.78 = Y FV = good good good FV FV = U1 = knowledge knowledge 16200 b 9.72
Vespertilio murinus RO STE 3300 100 = 100 300 N/A grids1x1 minimum b 100 = Y FV = good good good FV FV = U1 = knowledge knowledge 1700 b 100
Vespertilio murinus DK CON 18449 3.40 = N/A N/A N/A d 0 u x Y FV = good unk good FV FV x FV N/A N/A 4600 b 2.76
Vespertilio murinus DK ATL 8596 18.15 + N/A N/A N/A d 0 + x Unk Y FV u good unk good FV FV + N/A N/A N/A N/A 700 b 4.07
Vespertilio murinus BG BLS 1700 0 = 1700 N/A N/A 3 grids1x1 minimum b 0 u 3 grids1x1 Y FV = unk unk unk XX XX = XX knowledge knowledge 300 b 0
Vespertilio murinus BG ALP 20100 18.71 = 20100 N/A N/A 55 grids1x1 minimum b 1.36 = 55 grids1x1 Y FV = good good good FV FV = FV noChange knowledge 2500 b 5.90
Vespertilio murinus BG CON 61000 11.24 u 61000 N/A N/A 398 grids1x1 minimum b 0.89 = 398 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange knowledge 12100 b 7.26
Vormela peregusna BG ALP 25100 100 = 25100 N/A N/A N/A grids1x1 minimum c 0 x Y FV = poor poor poor U1 U1 = FV method method 3000 b 100
Vormela peregusna BG CON 90400 100 = 90400 N/A N/A 9 grids1x1 minimum c 100 x 9 grids1x1 Y FV = poor poor poor U1 U1 = FV method method 32400 b 100
Vormela peregusna RO STE 700 100 x x 840 880 N/A grids1x1 minimum b 100 - 1000 grids1x1 Y XX - poor poor good U1 U1 - U1 - N/A N/A 700 b 100
Vormela peregusna GR MED 5739 0 x x N/A N/A N/A d 0 x x Unk XX = unk unk unk XX XX XX noChange noChange 6500 c 0
Vormela peregusna BG BLS 10100 100 = 10100 N/A N/A N/A grids1x1 minimum c 0 x Y FV = poor poor poor U1 U1 = FV method method 4800 b 100
Ziphius cavirostris ES MMED 32530.26 5.95 x x 394 7090 1659 i interval a 100 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 41800 b 8.09
Ziphius cavirostris IE MATL 397500 70.76 = 397500 142 1221 N/A i interval a 2.72 u x Y FV = good unk good FV FV = XX knowledge knowledge 40000 b 19.09
Ziphius cavirostris MT MMED 1 0 x x N/A N/A 1 i estimate a 0 x x Unk Unk XX x unk unk unk XX XX XX noChange noChange 100 d 0
Ziphius cavirostris FR MATL 116700 20.77 x x 2700 21000 N/A i interval b 47.29 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 114900 c 54.84
Ziphius cavirostris PT MMAC 1450200 96.85 = x N/A N/A 53 i minimum b 48.62 x x Unk XX x unk unk unk XX XX XX noChange N/A 15400 d 22.16
Ziphius cavirostris UK MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ Unk XX x unk unk unk XX XX x XX noChange noChange 14800 d 0
Ziphius cavirostris PT MATL 14923 2.66 + x N/A N/A 6964 i estimate a 27.79 x x Y XX u unk unk unk XX XX XX N/A N/A 20900 d 9.98
Ziphius cavirostris HR MMED 8300 0 x x N/A N/A N/A d 0 x x XX x unk unk unk XX XX N/A N/A 8300 N/A 0
Ziphius cavirostris IT MMED 2200 0.40 x x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX XX noChange noChange 500 b 0.10
Ziphius cavirostris GR MMED 421843 77.18 - N/A N/A N/A d 0 - > N Unk U2 - poor poor bad U2 U2 - U2 - noChange noChange 384500 b 74.43
Ziphius cavirostris FR MMED 90000 16.47 x x N/A N/A N/A interval d 0 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 89800 c 17.38
Ziphius cavirostris ES MATL 32618.71 5.81 x x 1715 18281 5564 i interval a 22.20 + x Unk XX x unk unk unk XX XX XX noInfo noInfo 33700 b 16.09
Ziphius cavirostris ES MMAC 47111.14 3.15 x x 15 212 56 i interval b 51.38 x x Unk XX x unk unk unk XX XX XX noInfo noInfo 54100 b 77.84