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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, Spain, All bioregions.
Member States reports
Species 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
ES 1 N/A N/A i minimum N/A N/A 204 grids10x10 estimate
ES N/A N/A 30 i estimate N/A N/A 776 grids10x10 estimate
ES N/A 792 164 i interval N/A N/A 1609 grids10x10 estimate
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 16 N/A N/A i minimum N/A N/A 739 grids10x10 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 4276 10572 9422 i interval N/A N/A 2862 grids10x10 estimate
ES 162 1999 530 i interval N/A N/A 1092 grids10x10 estimate
ES N/A N/A N/A i estimate N/A N/A 452 grids10x10 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 208 N/A N/A i minimum N/A N/A 54 grids10x10 estimate
ES 47 N/A N/A i minimum N/A N/A 44 grids10x10 minimum
ES 421 876 421 i estimate 356 N/A N/A grids10x10 minimum
ES 803 1504 803 i estimate 222 N/A N/A grids10x10 minimum
ES N/A 10 N/A i minimum N/A N/A N/A N/A
ES 48000 55000 N/A i estimate 625 N/A N/A grids10x10 minimum
ES 800 1340 982 i estimate 8 N/A N/A grids10x10 N/A
ES 86 N/A N/A i estimate 1 N/A N/A grids10x10 estimate
ES 1 1 1 i estimate N/A N/A N/A estimate
ES 617 807 N/A i estimate N/A N/A N/A N/A
ES 1 N/A N/A i minimum N/A N/A N/A N/A
ES N/A N/A 61 grids1x1 minimum 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
ES 119 N/A 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
ES 146 14600 N/A 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 251 N/A N/A i minimum 25100 N/A N/A grids1x1 estimate
ES 67 N/A N/A i minimum 67 N/A N/A grids10x10 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
ES 256 7861 6656 i estimate N/A N/A N/A estimate
ES 1557 54544 40482 i estimate N/A N/A N/A estimate
ES 125 3250 3250 i estimate N/A N/A N/A estimate
ES 1503 1925 N/A i minimum N/A N/A N/A N/A
ES 925 2478 N/A i minimum N/A N/A N/A N/A
ES 6852 7447 N/A i minimum N/A N/A N/A N/A
ES 346 19311 N/A i estimate 20 9511 N/A adults estimate
ES 2345 143983 N/A i estimate 207 70917 N/A adults estimate
ES 133 5144 N/A i estimate 2519 2519 N/A adults estimate
ES 1450 2910 2344 i interval N/A N/A 322 grids10x10 estimate
ES N/A N/A N/A i interval 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 517 7978 1968 i interval N/A N/A N/A N/A
ES 1663 31818 6863 i interval N/A N/A N/A N/A
ES N/A 1902 575 i interval 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 112 N/A N/A i minimum 46 N/A N/A grids10x10 minimum
ES 50000 100000 N/A i estimate 761 N/A N/A grids1x1 minimum
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 N/A N/A N/A i estimate N/A N/A N/A N/A
ES 21 2100 N/A 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
ES N/A N/A 414 grids1x1 estimate N/A N/A 40 grids10x10 estimate
ES 53 5300 N/A grids1x1 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 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
ES N/A N/A N/A i estimate N/A N/A N/A N/A
ES 605 60500 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
ES 2665 266500 N/A grids1x1 estimate N/A N/A N/A N/A
ES 573 576 N/A i estimate 150 151 N/A bfemales estimate
ES N/A 15100 N/A i estimate 151 N/A N/A grids10x10 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 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 N/A N/A N/A i estimate N/A N/A N/A N/A
ES 7 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
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 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 N/A N/A 11856 i minimum N/A N/A 741 colonies minimum
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
ES N/A N/A N/A i 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
ES N/A 521 N/A grids1x1 estimate 426 558 500 i estimate
ES 9400 47000 N/A i estimate 1074 N/A N/A grids10x10 N/A
ES 170 850 N/A i estimate 33 N/A N/A grids10x10 minimum
ES 1800 9200 N/A i estimate 415 N/A N/A grids10x10 N/A
ES 10 N/A N/A grids1x1 minimum 10 N/A N/A localities minimum
ES 63 N/A N/A grids1x1 minimum 63 N/A N/A localities minimum
ES 3 N/A N/A grids1x1 minimum 3 N/A N/A localities minimum
ES 19 27 N/A i estimate N/A N/A 9 grids10x10 estimate
ES 4 300 N/A i estimate 1 N/A N/A grids10x10 minimum
ES 599 N/A N/A i minimum N/A N/A 44 grids10x10 estimate
ES 1000 2000 N/A i estimate 34 N/A N/A grids10x10 minimum
ES 38546 N/A N/A i estimate 344 N/A N/A grids10x10 N/A
ES 7 N/A N/A i minimum 7 N/A N/A grids10x10 minimum
ES 5567 10400 N/A i mean 56 N/A N/A localities minimum
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
ES 510 N/A 510 i estimate 22 N/A N/A grids10x10 minimum
ES 400 N/A N/A i minimum 87 N/A N/A grids10x10 minimum
ES 5666 8538 N/A i estimate 196 N/A N/A grids10x10 minimum
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
ES 54 5400 N/A grids1x1 minimum 32 N/A N/A localities minimum
ES 30 3000 N/A grids1x1 minimum 21 N/A N/A localities minimum
ES 29 2900 N/A grids1x1 minimum 45 N/A N/A localities minimum
ES 67 6700 N/A grids1x1 estimate N/A N/A N/A N/A
ES 34 3400 N/A grids1x1 estimate N/A N/A N/A N/A
ES 263 26300 N/A grids1x1 estimate N/A N/A N/A N/A
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
ES 892 1500 N/A grids1x1 estimate N/A N/A 15 grids10x10 estimate
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
ES 273 27300 N/A grids1x1 estimate N/A N/A N/A N/A
ES 99 9900 N/A grids1x1 estimate N/A N/A N/A N/A
ES 15 1500 N/A grids1x1 minimum 5 N/A N/A localities minimum
ES 55 5500 N/A grids1x1 minimum 7 N/A N/A localities minimum
ES 30 30 30 i minimum N/A N/A N/A N/A
ES 56 56 56 i minimum N/A N/A N/A N/A
ES 60 60 60 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
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 1350 5406 2898 i interval N/A N/A N/A N/A
ES 500 1000 N/A i estimate N/A N/A 131 grids10x10 estimate
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 35 3500 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
ES 17 1700 N/A grids1x1 estimate N/A N/A N/A N/A
ES 90 9000 N/A grids1x1 estimate N/A N/A N/A N/A
ES N/A N/A 50 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
ES 1528 152800 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
ES 68 6800 N/A grids1x1 estimate N/A N/A N/A N/A
ES 1470 147000 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
ES 37 3700 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
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 525 52500 N/A grids1x1 estimate N/A N/A N/A N/A
ES 100 10000 N/A grids1x1 estimate N/A N/A N/A N/A
ES 29 2900 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
ES N/A N/A 31 grids1x1 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 N/A N/A N/A i estimate N/A N/A N/A N/A
ES 1 N/A N/A i minimum N/A N/A N/A N/A
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
ES 1139 N/A N/A i minimum 10 N/A N/A localities minimum
ES 450 N/A N/A i minimum 152 N/A N/A localities minimum
ES 713 N/A N/A i minimum 11 N/A N/A localities minimum
ES 34548 N/A N/A i minimum 329 464 N/A localities minimum
ES 575 N/A N/A i minimum 21 N/A N/A localities minimum
ES 10186 15716 N/A i minimum 270 N/A N/A localities minimum
ES 5000 N/A N/A i minimum 59 N/A N/A localities minimum
ES 10147 N/A N/A i estimate 82 N/A N/A localities minimum
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
ES 22799 N/A N/A i estimate N/A N/A 129 grids10x10 estimate
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
ES 73523 556015 207684 i interval N/A N/A 2808 grids10x10 estimate
ES 22462 42090 34851 i estimate N/A N/A 802 grids10x10 estimate
ES 503 4934 1575 i interval N/A N/A 399 grids10x10 estimate
ES 63 6300 N/A grids1x1 estimate N/A N/A N/A N/A
ES 89 8900 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
ES 615 61500 N/A grids1x1 estimate 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
ES 243 292 N/A i estimate 35 41 40 bfemales estimate
ES 55 N/A N/A i estimate 10 N/A N/A bfemales estimate
ES 31 33 N/A i estimate 10 N/A N/A bfemales estimate
ES 15 212 56 i interval N/A N/A N/A N/A
ES 394 7090 1659 i interval N/A N/A N/A N/A
ES 1715 18281 5564 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
Balaenoptera acutorostrata 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 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 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 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 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 edeni 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 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 musculus 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 physalus 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 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 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
Barbastella barbastellus 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 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 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 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
Canis lupus 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 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 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
Capra pyrenaica 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 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 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 pyrenaica 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 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 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
Crocidura canariensis 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
Delphinus delphis 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 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 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
Eptesicus isabellinus 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 serotinus 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 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 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
Erinaceus algirus 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
Erinaceus algirus 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
Eubalaena glacialis 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 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
Felis silvestris 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 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 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
Galemys pyrenaicus 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 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 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 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 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 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
Globicephala macrorhynchus 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 macrorhynchus 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 melas 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 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 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
Grampus griseus 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 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 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
Halichoerus grypus 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
Herpestes ichneumon 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
Hyperoodon ampullatus 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 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 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 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 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 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 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
Kogia breviceps 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 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 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
Kogia simus 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
Lagenodelphis hosei 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
Lutra lutra 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 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 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
Lynx pardinus 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
Martes martes 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 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 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
Megaptera novaeangliae 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 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 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
Mesoplodon densirostris 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 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 europaeus 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 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 mirus 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 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
Microtus cabrerae 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
Miniopterus schreibersii 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 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 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
Monachus monachus 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
Mustela lutreola 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 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 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 putorius 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 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 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
Myotis alcathoe 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 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 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 bechsteinii 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 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 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 blythii 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 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 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 capaccinii 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 daubentonii 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 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 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 emarginatus 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 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 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 myotis 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 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 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 mystacinus 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 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 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 nattereri 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 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 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
Nyctalus lasiopterus 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 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 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 leisleri 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 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 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 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 noctula 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 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
Orcinus orca 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 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 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
Phoca vitulina 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
Phocoena phocoena 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 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 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
Physeter macrocephalus 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 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 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
Pipistrellus kuhlii 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 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 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 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 maderensis 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 nathusii 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 pipistrellus 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 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 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 pygmaeus 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 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 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
Plecotus auritus 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 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 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 austriacus 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 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 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 macrobullaris 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 teneriffae 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 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 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 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
Rhinolophus euryale 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 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 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 ferrumequinum 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 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 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 hipposideros 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 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 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 mehelyi 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
Rupicapra pyrenaica 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 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 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
Stenella coeruleoalba 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 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 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 frontalis 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
Steno bredanensis 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 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 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 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 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
Tursiops truncatus 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 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 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 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 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 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
Ziphius cavirostris 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
Ziphius cavirostris 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 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