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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, Italy, 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
IT 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
IT 3800 19000 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
IT 4200 21000 N/A i estimate N/A N/A N/A N/A
IT 15 35 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
IT 717 1656 N/A i estimate N/A N/A N/A N/A
IT 317 734 N/A i estimate N/A N/A N/A N/A
IT 329 375 N/A i minimum N/A N/A N/A N/A
IT N/A N/A 16471 i mean N/A N/A N/A N/A
IT 10000 12000 N/A i estimate N/A N/A N/A N/A
IT N/A N/A 3192 grids1x1 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 8 10 N/A 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
IT 1000 25000 N/A grids1x1 estimate N/A N/A N/A N/A
IT 840 16800 N/A 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
IT 1300 26000 N/A grids1x1 estimate N/A N/A N/A N/A
IT 80 240 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
IT N/A N/A N/A N/A N/A N/A N/A
IT N/A N/A 100 i minimum N/A N/A N/A N/A
IT 3280 65600 N/A grids1x1 estimate N/A N/A N/A N/A
IT 1400 28000 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
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
IT N/A N/A 9 grids1x1 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 20381 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 100 114 N/A grids1x1 minimum 8 10 N/A i estimate
IT N/A N/A N/A N/A N/A N/A N/A
IT 4694 7234 N/A grids1x1 estimate N/A N/A N/A N/A
IT N/A N/A 2 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 313 939 N/A i estimate N/A N/A N/A N/A
IT 227 681 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 11000 55000 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 26000 130000 N/A i estimate N/A N/A N/A N/A
IT N/A N/A 2 i 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
IT N/A N/A 16888 grids1x1 estimate N/A N/A N/A N/A
IT N/A N/A 16519 grids1x1 estimate N/A N/A N/A N/A
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
IT 191 955 N/A i estimate N/A N/A N/A estimate
IT 2 20 N/A grids1x1 estimate N/A N/A N/A N/A
IT 4 20 N/A grids1x1 estimate N/A N/A N/A N/A
IT 3000 15000 N/A i estimate N/A N/A N/A N/A
IT 1500 8000 N/A i estimate N/A N/A N/A N/A
IT 4000 21000 N/A i estimate N/A N/A N/A N/A
IT 4500 22500 N/A i estimate N/A N/A N/A N/A
IT 9500 48000 N/A i estimate N/A N/A N/A N/A
IT 10000 50000 N/A i estimate N/A N/A N/A N/A
IT 45 450 N/A grids1x1 estimate N/A N/A N/A N/A
IT 20 200 N/A grids1x1 estimate N/A N/A N/A N/A
IT 800 5000 N/A i estimate N/A N/A N/A N/A
IT 6000 36000 N/A i estimate N/A N/A N/A N/A
IT 800 4000 N/A i estimate N/A N/A N/A N/A
IT 160 1600 N/A grids1x1 estimate N/A N/A N/A N/A
IT 430 4300 N/A grids1x1 estimate N/A N/A N/A N/A
IT 800 8000 N/A grids1x1 estimate N/A N/A N/A N/A
IT 7000 41000 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
IT 9000 90000 N/A i estimate N/A N/A N/A 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
IT 220 2200 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 380 3800 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
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 3200 16000 N/A i 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
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
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
IT 250 2500 N/A grids1x1 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 7500 10000 N/A 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
IT 10000 250000 N/A grids1x1 estimate N/A N/A N/A N/A
IT 1700 51000 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
IT 210 2100 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 3000 90000 N/A grids1x1 estimate N/A N/A N/A N/A
IT 5000 150000 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
IT 155 1550 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
IT 100 1000 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
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 30 300 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 50 500 N/A grids1x1 estimate N/A N/A N/A N/A
IT 70 700 N/A grids1x1 estimate N/A N/A N/A N/A
IT 225 2250 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
IT N/A N/A N/A N/A N/A N/A N/A
IT 100 1800 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
IT 320 9500 N/A i estimate N/A N/A N/A N/A
IT 22000 45000 N/A i estimate N/A N/A N/A N/A
IT 6000 15000 N/A i estimate N/A N/A N/A N/A
IT 15000 30000 N/A 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
IT 8000 50000 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
IT 5000 16000 N/A i estimate N/A N/A N/A N/A
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
IT N/A N/A N/A N/A N/A N/A N/A
IT N/A N/A 139050 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 132000 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
IT 960 19200 N/A grids1x1 estimate N/A N/A N/A N/A
IT 350 7000 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
IT N/A N/A 8591 i minimum N/A N/A N/A N/A
IT 45 69 N/A i interval N/A N/A N/A N/A
IT 45 63 N/A i 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 85 850 N/A grids1x1 estimate N/A N/A N/A N/A
IT N/A N/A N/A 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 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 physalus 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
Barbastella barbastellus 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 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 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
Canis aureus 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 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 lupus 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 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 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
Capra ibex 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
Cervus elaphus corsicanus 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
Crocidura sicula 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
Delphinus delphis 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
Dryomys nitedula 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 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
Eptesicus nilssonii 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 serotinus 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 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 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
Felis silvestris 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 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 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
Globicephala melas 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
Grampus griseus 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
Hypsugo savii 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 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 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
Hystrix cristata 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 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
Hystrix cristata 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
Lepus timidus 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 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 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
Lutra lutra 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 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 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
Lynx lynx 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
Martes martes 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 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 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
Megaptera novaeangliae 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
Miniopterus schreibersii 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 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 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
Monachus monachus 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
Muscardinus avellanarius 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 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 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
Mustela putorius 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 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 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
Myotis alcathoe 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 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 bechsteinii 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 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 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 blythii 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 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 blythii 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 brandtii 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 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 capaccinii 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 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 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 daubentonii 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 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 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 emarginatus 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 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 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 myotis 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 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 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 mystacinus 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 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 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 nattereri 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 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 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 punicus 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
Nyctalus lasiopterus 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 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 leisleri 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 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 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 noctula 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 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 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
Orcinus orca 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
Ovis aries musimon 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
Physeter macrocephalus 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
Pipistrellus kuhlii 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 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 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 nathusii 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 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 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 pipistrellus 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 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 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 pygmaeus 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 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 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
Plecotus auritus 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 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 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 austriacus 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 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 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 macrobullaris 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 macrobullaris 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 sardus 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
Pseudorca crassidens 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
Rhinolophus euryale 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 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 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 ferrumequinum 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 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 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 hipposideros 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 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 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 mehelyi 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
Rupicapra pyrenaica ornata 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 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 pyrenaica ornata 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 rupicapra 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 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 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
Stenella coeruleoalba 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
Steno bredanensis 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
Tadarida teniotis 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 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 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
Tursiops truncatus 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
Ursus arctos 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 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 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 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
Ziphius cavirostris 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