Article 17 web tool

Log in

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.

Legend
FV
Favourable
XX
Unknown
U1
Unfavourable-Inadequate
U2
Unfavourable-Bad
Current selection: 2013-2018, Mammals, France, None.
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
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
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 60 2100 N/A i interval N/A N/A N/A interval
FR 135 2400 N/A i interval N/A N/A N/A interval
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 5496 30229 N/A i estimate N/A N/A N/A estimate
FR 6000 10000 N/A i mean N/A N/A N/A mean
FR 387 477 430 i estimate N/A N/A N/A estimate
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 N/A N/A N/A estimate 62 62 N/A estimate
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
FR N/A N/A N/A N/A N/A N/A N/A
FR 220 250 N/A i estimate 230 300 N/A adults estimate
FR 7500 22000 N/A i estimate N/A N/A N/A estimate
FR 4000 13000 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
FR 800 2000 N/A i estimate N/A N/A N/A estimate
FR 1100 1300 N/A i estimate 800 1000 N/A adults estimate
FR 700 1000 N/A i mean N/A N/A N/A mean
FR 143000 403000 N/A i interval N/A N/A N/A interval
FR N/A N/A N/A interval N/A N/A N/A interval
FR 2000 3000 N/A grids1x1 mean N/A N/A N/A mean
FR N/A N/A N/A mean N/A N/A N/A mean
FR 1800 2000 N/A grids1x1 mean N/A N/A N/A mean
FR N/A N/A N/A mean N/A N/A N/A mean
FR 74000 78800 N/A grids1x1 mean N/A N/A N/A mean
FR 36400 36400 N/A grids1x1 mean N/A N/A N/A mean
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
FR N/A N/A N/A estimate N/A N/A N/A estimate
FR N/A N/A N/A mean 54500 123200 N/A area mean
FR N/A N/A N/A mean 6400 25800 N/A area mean
FR N/A N/A N/A mean 100 1800 N/A area mean
FR N/A N/A N/A mean 2600 9100 N/A area mean
FR 324 2160 N/A i minimum N/A N/A N/A minimum
FR 150 1000 N/A i minimum N/A N/A N/A minimum
FR 1280 8500 N/A i minimum 100 1000 N/A minimum
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
FR N/A N/A N/A mean 24900 85300 N/A area mean
FR N/A N/A N/A mean 4200 29200 N/A area mean
FR 100 2500 N/A i interval N/A N/A N/A interval
FR 3800 4000 N/A i interval N/A N/A N/A interval
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
FR N/A N/A 1025 i minimum N/A N/A N/A minimum
FR N/A N/A N/A estimate N/A N/A N/A estimate
FR 2000 3000 N/A grids1x1 mean 50 60 N/A colonies mean
FR 19000 20000 N/A grids1x1 mean 66934 200801 N/A i mean
FR 9000 12000 N/A grids1x1 mean 6 10 N/A mean
FR 3000 4000 N/A grids1x1 mean N/A N/A N/A mean
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 N/A N/A N/A estimate N/A N/A N/A estimate
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
FR N/A N/A N/A minimum N/A N/A 11289 area minimum
FR 1000 5000 N/A grids1x1 mean 3000 6000 N/A adults mean
FR 500 1500 N/A grids1x1 estimate 1000 2000 N/A adults estimate
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
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
FR N/A N/A N/A mean 100200 181600 N/A area mean
FR N/A N/A N/A mean 2400 11500 N/A area mean
FR N/A N/A N/A mean 6900 27200 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 estimate N/A N/A N/A estimate
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 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 40154 66924 N/A i estimate N/A N/A N/A estimate
FR 35000 55000 N/A i mean N/A N/A N/A mean
FR 40000 49996 N/A i mean N/A N/A N/A mean
FR 11500 15000 N/A i mean N/A N/A N/A mean
FR 5000 10000 N/A grids1x1 mean 5000 10000 N/A colonies mean
FR 50000 100000 N/A grids1x1 mean N/A N/A N/A mean
FR 16400 16400 N/A grids1x1 estimate N/A N/A N/A estimate
FR 40000 50000 N/A grids1x1 mean 73300 147800 N/A adults mean
FR N/A N/A N/A mean 2100 5600 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 1800 7000 N/A area mean
FR N/A N/A N/A mean 2700 16700 N/A area mean
FR N/A N/A N/A mean 46500 129900 N/A area 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
FR 14000 15000 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
FR 3000000 4000000 N/A i mean N/A N/A N/A mean
FR 1000 10000 N/A i mean 21300 310000 N/A area mean
FR 1400000 2000000 N/A i mean 37000 39000 N/A grids10x10 mean
FR 2167 21672 N/A i estimate N/A N/A N/A estimate
FR 3000 5000 N/A i mean 3000 3500 N/A grids1x1 mean
FR 10000 11000 N/A i mean 9000 11000 N/A grids1x1 mean
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
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
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
FR 11027 19460 N/A i estimate N/A N/A N/A estimate
FR N/A 10 N/A i mean N/A N/A N/A mean
FR 40 50 N/A i mean N/A N/A N/A mean
FR N/A N/A N/A i estimate N/A N/A N/A estimate
FR 7000000 10000000 N/A grids1x1 mean 76000 80000 N/A grids10x10 mean
FR 90000 130000 N/A grids1x1 mean 9000 12000 N/A grids10x10 mean
FR 17000 18000 N/A grids1x1 mean 183608 459021 N/A i mean
FR 590000 650000 N/A grids1x1 mean N/A N/A N/A mean
FR 13705 32892 N/A i estimate N/A N/A N/A estimate
FR 30000 35000 N/A i mean N/A N/A N/A mean
FR 1500 2500 N/A i mean N/A N/A N/A mean
FR 31200 33000 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
FR 1000 5000 N/A i mean N/A N/A N/A mean
FR 7300 9500 N/A grids1x1 mean N/A N/A N/A mean
FR 35700 35700 N/A grids1x1 mean N/A N/A N/A mean
FR 6700 6700 N/A grids1x1 mean N/A N/A N/A mean
FR 53700 53700 N/A grids1x1 mean 10000 15000 N/A mean
FR 66000 95000 N/A grids1x1 mean 600000 800000 N/A mean
FR 300000 400000 N/A grids1x1 mean N/A N/A N/A mean
FR 30000 100000 N/A grids1x1 mean N/A N/A N/A mean
FR 180000 240000 N/A grids1x1 mean 12090 24181 N/A i mean
FR 2000 4000 N/A i mean N/A N/A N/A mean
FR 50 50 N/A grids1x1 mean 400 600 N/A i mean
FR 1 11 N/A grids1x1 minimum 14 14 N/A grids10x10 minimum
FR 50 60 N/A grids1x1 estimate 94 566 N/A i estimate
FR 100 1000 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 10000 13000 N/A grids1x1 mean N/A N/A N/A mean
FR 18000 21400 N/A grids1x1 minimum 9247 19651 N/A i minimum
FR 33000 36000 N/A grids1x1 minimum N/A N/A N/A minimum
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
FR 3700 4000 N/A grids1x1 mean N/A N/A N/A mean
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 1250 1250 N/A i estimate N/A N/A N/A estimate
FR N/A N/A 1050 i minimum N/A N/A N/A minimum
FR 13000 47000 N/A i interval N/A N/A N/A interval
FR 80 2700 N/A i interval N/A N/A N/A interval
FR 130 2900 N/A i interval N/A N/A N/A interval
FR 200000 300000 N/A grids1x1 minimum N/A N/A N/A minimum
FR 800000 1200000 N/A grids1x1 minimum 102573 410292 N/A i minimum
FR 1200000 1500000 N/A grids1x1 minimum N/A N/A N/A minimum
FR 32000 40000 N/A grids1x1 minimum N/A N/A N/A minimum
FR 1000 10000 N/A grids1x1 minimum N/A N/A N/A minimum
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 500 2000 N/A grids1x1 estimate N/A N/A N/A estimate
FR 1500000 3000000 N/A grids1x1 minimum N/A N/A N/A minimum
FR 800000 1200000 N/A grids1x1 minimum 1160880 4464930 N/A i minimum
FR 2000000 4000000 N/A grids1x1 minimum N/A N/A N/A minimum
FR 500000 1000000 N/A grids1x1 minimum N/A N/A N/A minimum
FR 500000 1000000 N/A grids1x1 minimum 824602 2910360 N/A i minimum
FR 5000 13400 N/A grids1x1 minimum N/A N/A N/A minimum
FR 9200 26800 N/A grids1x1 minimum N/A N/A N/A minimum
FR 16000 48000 N/A grids1x1 minimum N/A N/A N/A minimum
FR 41200 43800 N/A grids1x1 mean N/A N/A N/A mean
FR 64000 700000 N/A grids1x1 mean N/A N/A N/A mean
FR 4490 5000 N/A grids1x1 mean N/A N/A N/A mean
FR 6500 8300 N/A grids1x1 mean N/A N/A N/A mean
FR 12700 14300 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
FR 314500 334000 N/A grids1x1 mean N/A N/A N/A mean
FR 145600 145600 N/A grids1x1 mean N/A N/A N/A mean
FR 30 30 N/A grids1x1 mean 4 6 N/A colonies mean
FR 3000 4000 N/A grids1x1 mean 15 20 N/A colonies mean
FR 2 2 N/A grids1x1 mean 2 2 N/A grids10x10 mean
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 2500 3000 N/A i mean N/A N/A N/A mean
FR 7100 7200 N/A i mean N/A N/A N/A mean
FR 20900 22000 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
FR 22625 90502 N/A i estimate N/A N/A N/A estimate
FR 47000 50000 N/A i mean N/A N/A N/A mean
FR 15000 16000 N/A i mean N/A N/A N/A mean
FR 500 1000 N/A i mean N/A N/A N/A mean
FR 39000 40000 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
FR 3000 4000 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
FR N/A N/A N/A i mean N/A N/A N/A mean
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
FR N/A N/A N/A estimate N/A N/A N/A estimate
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
FR 86000 86000 N/A i estimate N/A N/A N/A estimate
FR N/A N/A N/A interval N/A N/A N/A interval
FR 18000 82000 N/A i interval N/A N/A N/A interval
FR N/A N/A N/A estimate N/A N/A N/A estimate
FR 847 19500 N/A grids1x1 mean 2710 16258 N/A i mean
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
FR 50 100 N/A grids1x1 mean N/A N/A N/A mean
FR 610 18498 N/A i interval N/A N/A N/A interval
FR 6700 47000 N/A i interval N/A N/A N/A interval
FR N/A N/A 43 i estimate N/A N/A N/A estimate
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
FR 2700 21000 N/A i interval N/A N/A N/A interval
FR N/A N/A N/A interval N/A N/A N/A interval
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 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 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 borealis 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 musculus 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 physalus 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 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
Barbastella barbastellus 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 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 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 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
Canis lupus 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 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 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 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
Capra ibex 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 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 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 pyrenaica 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
Castor fiber 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 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 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 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
Cervus elaphus corsicanus 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 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
Delphinus delphis 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 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
Eptesicus nilssonii 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 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 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 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 serotinus 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 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 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 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
Eubalaena glacialis 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
Felis silvestris 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 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 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 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
Galemys pyrenaicus 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 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 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
Genetta genetta 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 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
Genetta genetta 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 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
Globicephala melas 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 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
Grampus griseus 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 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
Halichoerus grypus 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
Hyperoodon ampullatus 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
Hypsugo savii 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 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 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 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
Kogia breviceps 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
Lagenorhynchus acutus 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 albirostris 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 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 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 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
Lutra lutra 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 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 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 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
Lynx lynx 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 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 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
Martes martes 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 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 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 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
Megaptera novaeangliae 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 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
Mesoplodon bidens 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 densirostris 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 europaeus 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
Miniopterus schreibersii 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 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 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 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
Muscardinus avellanarius 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 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
Muscardinus avellanarius 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 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
Mustela lutreola 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 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 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 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 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
Myotis alcathoe 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 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 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 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 bechsteinii 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 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 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 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 blythii 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 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 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 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 brandtii 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 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 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 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 capaccinii 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 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 dasycneme 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 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 daubentonii 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 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 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 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 emarginatus 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 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 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 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 myotis 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 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 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 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 mystacinus 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 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 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 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 nattereri 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 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 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 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 punicus 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 lasiopterus 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 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 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 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 leisleri 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 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 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 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 noctula 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 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 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 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
Orcinus orca 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 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
Ovis aries musimon 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
Phoca vitulina 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
Phocoena phocoena 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
Physeter macrocephalus 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
Physeter macrocephalus 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
Pipistrellus kuhlii 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 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 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 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 nathusii 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 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 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 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 pipistrellus 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 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 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 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 pygmaeus 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 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 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 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
Plecotus auritus 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 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 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 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 austriacus 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 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 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 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 macrobullaris 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 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 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
Pseudorca crassidens 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 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
Rhinolophus euryale 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 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 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 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 ferrumequinum 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 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 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 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 hipposideros 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 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 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 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 mehelyi 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
Rupicapra pyrenaica 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 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 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 rupicapra 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 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 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
Stenella coeruleoalba 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 coeruleoalba 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
Steno bredanensis 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
Tadarida teniotis 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 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 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 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
Tursiops truncatus 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 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
Ursus arctos 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
Vespertilio murinus 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 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 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 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
Ziphius cavirostris 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 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