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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).

The delayed delivery by Spain did not allow the Spanish report to be used for the EU conservation status assessment. Where possible, Spanish data from the period 2013-2019 were used for the EU assessments of 2019-2024. You can see a relevant technical note here.

Numerical information presented in the web tool is rounded to two decimals for easier presentation in the tool. This means that very small numbers are presented as 0. The tool cannot differentiate rounded 0 from reported 0. At the moment all cases are shown as NA, we are working on fixing the issue and show 0 instead of NA where relevant.

Legend
FV
Favourable
XX
Unknown
U1
Unfavourable-Inadequate
U2
Unfavourable-Bad
Current selection: 2019-2024, Mammals, Poland, 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 values as used for the automatic EU assessments
Country FRR min FRR max FRR mean
PL 13700 13965.34 13832.67
PL 248400 253211.01 250805.5
PL 3250 3250 3250
PL 1800 1800 1800
PL 276800 276800 276800
PL 13600 13863.4 13731.7
PL 14600 14882.77 14741.39
PL 311500 317533.13 314516.56
PL 46600 46600 46600
PL 6000 6000 6000
PL 1400 1400 1400
PL 41900 42711.52 42305.76
PL 12500 12742.1 12621.05
PL 266000 271151.89 268575.94
PL 13500 13761.47 13630.73
PL 5700 5810.4 5755.2
PL 3100 3160.04 3130.02
PL 37400 38124.36 37762.18
PL 1797.75 3200 2498.88
PL 14500 14780.84 14640.42
PL 309400 315392.46 312396.23
PL 14600 14882.77 14741.39
PL 103600 105606.52 104603.26
PL 600 611.62 605.81
PL 13700 13965.34 13832.67
PL 308700 314678.9 311689.45
PL 147 149.85 148.42
PL 42000 42813.46 42406.73
PL 9400 9582.06 9491.03
PL 10200 10397.55 10298.78
PL 308800 314780.84 311790.42
PL 28900 29459.73 29179.87
PL 4500 4587.16 4543.58
PL 13700 13965.34 13832.67
PL 61800 62996.94 62398.47
PL 25500 25993.88 25746.94
PL 2200 2200 2200
PL 181200 184709.48 182954.74
PL 12000 12232.42 12116.21
PL 12448.98 13555.56 13002.27
PL 9800 9989.81 9894.9
PL 14500 14780.84 14640.42
PL 216700 220897.04 218798.52
PL 14700 14984.71 14842.35
PL 70400 71763.51 71081.75
PL 1500 1529.05 1514.53
PL 78300 79816.51 79058.26
PL 3900 3975.54 3937.77
PL 60600 61773.7 61186.85
PL 251800 256676.86 254238.43
PL 14100 14373.09 14236.54
PL 8300 8300 8300
PL 37300 38022.43 37661.21
PL 174300 177675.84 175987.92
PL 7700 7700 7700
PL 12200 12436.29 12318.14
PL 107600 109684 108642
PL 6900 7033.64 6966.82
PL 87200 88888.89 88044.44
PL 89100 90825.69 89962.84
PL 5300 5402.65 5351.33
PL 126200 128644.24 127422.12
PL 4200 4281.35 4240.67
PL 2100 2100 2100
PL 100 100 100
PL 9600 9785.93 9692.97
PL 11900 12130.48 12015.24
PL 600 611.62 605.81
PL 11600 11600 11600
PL 1600 1630.99 1615.49
PL 2700 2700 2700
PL 408.16 20000 10204.08
PL 3500 3500 3500
PL 11000 11213.05 11106.52
PL 177800 181243.63 179521.81
PL 14300 14576.96 14438.48

If a specific FRR value was reported, this value is used as min, max, and mean.

If FRR is reported as a predefined range, the min, max, and mean are calculated based on the reported current range.

If the FRR is unknown, the reported current range is used as FRR min, max, and mean.

FRR
Range vs
FRR
predefined
Min
Member State
code
Reporting units Alternative units
Min Max Best value Unit Type of estimate Min Max Best value Unit Type of estimate
PL N/A N/A 100 i minimum N/A N/A N/A N/A
PL N/A N/A 13900 i minimum N/A N/A N/A N/A
PL N/A N/A 1824 i estimate N/A N/A N/A N/A
PL N/A N/A 802 i estimate N/A N/A N/A N/A
PL 1569 2416 N/A i estimate N/A N/A N/A N/A
PL 262 404 N/A i estimate N/A N/A N/A N/A
PL N/A N/A 2400 i estimate N/A N/A N/A N/A
PL N/A N/A 48800 i estimate N/A N/A N/A N/A
PL 73530 367649 N/A i estimate N/A N/A 95 iperkm2 estimate
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A 9900 i minimum N/A N/A 99 grids10x10 minimum
PL N/A N/A 3700 i minimum N/A N/A 37 grids10x10 estimate
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A 55 i minimum N/A N/A N/A N/A
PL N/A N/A 284 i minimum N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A 1302 i estimate N/A N/A N/A N/A
PL N/A N/A 18052 i estimate N/A N/A N/A N/A
PL 56 100 N/A i estimate N/A N/A N/A N/A
PL N/A N/A 156 i estimate N/A N/A N/A N/A
PL 354 472 N/A i estimate N/A N/A 118 localities estimate
PL N/A N/A 2000 i minimum N/A N/A N/A N/A
PL N/A N/A 16000 i minimum N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A N/A i minimum N/A N/A N/A N/A
PL 5000 15000 N/A i estimate N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A 3605 i minimum N/A N/A N/A N/A
PL N/A N/A 1729 i minimum N/A N/A N/A N/A
PL N/A N/A N/A i minimum N/A N/A N/A N/A
PL 34000 53000 N/A i estimate N/A N/A N/A N/A
PL N/A N/A 10000 i minimum N/A N/A N/A N/A
PL N/A N/A 12000 i minimum N/A N/A 12000 grids1x1 minimum
PL N/A N/A N/A i minimum N/A N/A 700 grids1x1 estimate
PL N/A N/A 23000 i minimum N/A N/A N/A N/A
PL N/A N/A 520 i minimum N/A N/A N/A N/A
PL N/A N/A 1000 i minimum N/A N/A N/A N/A
PL N/A N/A 10000 i minimum N/A N/A N/A N/A
PL N/A N/A 1000 i minimum N/A N/A N/A N/A
PL 6 47 N/A i estimate N/A N/A N/A N/A
PL N/A N/A 43 i estimate N/A N/A N/A N/A
PL N/A N/A 15276 i minimum N/A N/A 104 localities minimum
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A 40000 i minimum N/A N/A N/A N/A
PL N/A N/A 60000 i minimum N/A N/A N/A N/A
PL N/A N/A 60000 i minimum N/A N/A N/A N/A
PL N/A N/A 900000 i minimum N/A N/A N/A N/A
PL N/A N/A N/A i minimum N/A N/A N/A N/A
PL N/A N/A N/A i minimum N/A N/A N/A N/A
PL N/A N/A N/A i minimum N/A N/A N/A N/A
PL N/A N/A N/A i minimum N/A N/A N/A N/A
PL N/A 5 N/A i minimum N/A N/A N/A N/A
PL N/A N/A N/A i minimum N/A N/A N/A N/A
PL N/A N/A 7168 i minimum N/A N/A N/A N/A
PL N/A N/A 7872 i minimum N/A N/A N/A N/A
PL 267 364 N/A i estimate N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A N/A i estimate N/A N/A N/A N/A
PL N/A N/A N/A i minimum N/A N/A N/A N/A
PL N/A N/A 721 i estimate N/A N/A N/A N/A
PL N/A N/A 608 i minimum N/A N/A N/A N/A
PL N/A N/A 100 i minimum N/A N/A N/A N/A
PL N/A N/A N/A i minimum N/A N/A 100 localities minimum
PL N/A N/A N/A i minimum N/A N/A 10 localities minimum
Max
Best value Unit Size class
in
individuals
Type est. Method Status
(% MS)
Trend Trend
magnitude
min - max
FRP values as used for the automatic EU assessments
Country FRP min FRP max FRP mean
PL 100 100 100
PL 13900 14616.19 14258.1
PL 1300 1300 1300
PL 250 250 250
PL 1992.5 2095.16 2043.83
PL 333 350.16 341.58
PL 2400 2523.66 2461.83
PL 48800 51314.41 50057.2
PL 642000 642000 642000
PL 3000 3000 3000
PL 300 300 300
PL 9900 10410.09 10155.05
PL 3700 3890.64 3795.32
PL 300000 315457.41 307728.71
PL 7500 7886.44 7693.22
PL 300 315.46 307.73
PL 55 57.83 56.42
PL 383.78 568 475.89
PL 51.02 2500 1275.51
PL 1302 1369.09 1335.54
PL 18052 18982.12 18517.06
PL 78 78 78
PL 156 156 156
PL 413 434.28 423.64
PL 2000 2103.05 2051.52
PL 16000 16824.4 16412.2
PL 30000 31545.74 30772.87
PL 30000 30000 30000
PL 3000 3000 3000
PL 3000 3154.57 3077.29
PL 30000 31545.74 30772.87
PL 61224.49 3000000 1530612.24
PL 3000 3000 3000
PL 10000 10515.25 10257.62
PL 30000 31545.74 30772.87
PL 1013.51 1500 1256.76
PL 300 300 300
PL 30000 31545.74 30772.87
PL 3000 3154.57 3077.29
PL 12960 12960 12960
PL 10800 10800 10800
PL 6122.45 300000 153061.22
PL 88775.51 4350000 2219387.76
PL 10000 10515.25 10257.62
PL 12000 12618.3 12309.15
PL 750 788.64 769.32
PL 23000 24185.07 23592.53
PL 520 520 520
PL 1000 1000 1000
PL 10000 10515.25 10257.62
PL 1000 1000 1000
PL 26.5 26.5 26.5
PL 87.76 4300 2193.88
PL 15276 15276 15276
PL 750 750 750
PL 40000 42060.99 41030.49
PL 60000 63091.48 61545.74
PL 60000 63091.48 61545.74
PL 900000 946372.24 923186.12
PL 30000 31545.74 30772.87
PL 3000 3154.57 3077.29
PL 7500 7886.44 7693.22
PL 300 300 300
PL 2.5 2.5 2.5
PL 0 0 0
PL 18720 18720 18720
PL 18000 18000 18000
PL 315.5 331.76 323.63
PL 7500 7500 7500
PL 3000 3000 3000
PL 300 300 300
PL 1471.43 72100 36785.71
PL 1240.82 60800 31020.41
PL 100 105.15 102.58
PL 7500 7886.44 7693.22
PL 3000 3154.57 3077.29

If a specific FRP value was reported, this value is used as FRP min, max, and mean.

If FRP is reported as a predefined range, the FRP min, max, and mean are calculated
based on the mean current population (best single value or average of min and max of pop. size class).

If the FRP is unknown, the mean current population is used as FRP min, max, and mean.

If the specific FRP or predefined range is in a unit not matching the current population it is ignored and the value is empty.

FRP
Population
vs FRP
predefined
Unit Area
occupied
sufficient
Quality
occupied
sufficient
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
Barbastella barbastellus ALP 13700 7.76 S predefined aeq N/A N/A 100 i N/A minimum absentData 0.09 Unk x x unknown Unknown XX Unk good unk unk XX XX Unk XX noChange noChange 3500 estimatePartial 2.83
Barbastella barbastellus CON 248400 27.50 S predefined aeq N/A N/A 13900 i N/A minimum estimatePartial 7.03 S predefined aeq yes No U1 S good good poor U1 U1 S U1 S noChange noChange 52000 estimatePartial 11.30
Bison bonasus CON 19400 96.28 I 3250 N/A N/A 1824 i N/A estimate completeSurvey 92.26 I 110 | 110 1300 i yes No U1 S good good poor U1 U1 I U1 I noChange noChange 13000 completeSurvey 93.53
Bison bonasus ALP 2800 66.55 I 1800 N/A N/A 802 i N/A estimate completeSurvey 84.24 I 157 | 157 250 i yes Yes FV S good good good FV FV I U1 I knowledge noChange 2600 completeSurvey 60.47
Canis lupus CON 276800 41.89 I x 1569 2416 N/A i N/A estimate estimatePartial 35.53 I 26 | 50 predefined aeq yes Yes FV S good good good FV FV I U1 I genuine noChange 195900 completeSurvey 39.54
Canis lupus ALP 13600 6.27 I predefined aeq 262 404 N/A i N/A estimate estimatePartial 7.24 I 0 | 12 predefined aeq yes Yes FV S good good good FV FV I FV S noChange genuine 10700 completeSurvey 4.89
Castor fiber ALP 14600 9.73 S predefined aeq N/A N/A 2400 i N/A estimate estimateExpert 13.53 I x predefined aeq yes Yes FV S good good good FV FV I FV S noChange method 12600 completeSurvey 12.39
Castor fiber CON 311500 35.25 S predefined aeq N/A N/A 48800 i N/A estimate estimateExpert 25.69 I x predefined aeq yes Yes FV S good good good FV FV I FV S noChange method 254900 completeSurvey 36.08
Cricetus cricetus CON 38800 20.57 D 46600 73530 367649 N/A i N/A estimate estimatePartial 67.58 D -25 | -13 642000 i no No yes U2 D bad bad poor U2 U2 D U2 D noChange noChange 21000 completeSurvey 32.61
Dryomys nitedula CON 6000 10.31 Unk x N/A N/A N/A i 5 estimate estimateExpert 4.27 Unk x x yes Unknown XX Unk unk unk unk XX XX XX noChange noChange 4400 absentData 49.44
Dryomys nitedula ALP 1400 3.62 Unk x N/A N/A N/A i 3 estimate estimateExpert 0.09 Unk x x yes Unknown XX Unk unk unk unk XX XX XX noChange noChange 900 absentData 4.89
Eptesicus nilssonii CON 41900 13.33 S predefined aeq N/A N/A 9900 i N/A minimum estimateExpert 9.30 S predefined aeq yes Yes FV S good good good FV FV S FV Unk noChange knowledge 11000 estimateExpert 9.01
Eptesicus nilssonii ALP 12500 11.76 S predefined aeq N/A N/A 3700 i N/A minimum estimateExpert 11.18 S predefined aeq yes Yes FV S good good good FV FV S FV Unk noChange knowledge 4200 estimateExpert 5.79
Eptesicus serotinus CON 266000 25.01 S predefined aeq N/A N/A N/A i 9 estimate estimateExpert 49.03 S predefined aeq yes Yes FV S good good good FV FV S FV S noChange noChange 48300 absentData 8.82
Eptesicus serotinus ALP 13500 8.34 S predefined aeq N/A N/A N/A i 6 estimate estimateExpert 8.20 S predefined aeq yes Yes FV S good good good FV FV S FV S noChange noChange 2800 absentData 2.48
Felis silvestris ALP 5700 4.36 Unk predefined aeq N/A N/A N/A i 3 estimate estimateExpert 2.17 Unk x predefined aeq yes Unknown XX Unk poor poor unk U1 U1 Unk U1 Unk noChange noChange 4100 absentData 3.02
Felis silvestris CON 3100 0.59 U predefined aeq N/A N/A 55 i N/A minimum estimateExpert 0.10 Unk x predefined aeq yes Unknown XX Unk poor poor unk U1 U1 Unk U1 Unk noChange noChange 2100 absentData 0.45
Halichoerus grypus MBAL 37400 10.97 S predefined aeq N/A N/A 284 i N/A minimum completeSurvey 0.47 I 45 | 45 predefined 26-50 no No unknown U2 U unk poor bad U2 U2 S U2 S noChange noChange 35100 completeSurvey 15.25
Lepus timidus CON 1600 7.51 D predefined 11-50 N/A N/A N/A i 1 estimate estimateExpert 4.76 D -50 | -26 predefined 51-100 no No no U2 D poor bad bad U2 U2 D U2 D noChange noChange 1400 estimatePartial 16.47
Lutra lutra ALP 14500 5.51 S predefined aeq N/A N/A 1302 i N/A estimate estimateExpert 16.78 S predefined aeq yes Yes FV S good good good FV FV S FV S noChange noChange 12900 completeSurvey 6.50
Lutra lutra CON 309400 33.46 S predefined aeq N/A N/A 18052 i N/A estimate estimateExpert 43.96 S predefined aeq yes Yes FV S good good good FV FV S FV S noChange noChange 188200 completeSurvey 26.48
Lynx lynx ALP 14600 6.32 S predefined aeq 56 100 N/A i N/A estimate estimatePartial 3.44 S x yes No U1 S good poor poor U1 U2 S U1 S method noChange 14000 completeSurvey 6.31
Lynx lynx CON 103600 50.95 I predefined aeq N/A N/A 156 i N/A estimate estimatePartial 13.62 I above100 x yes No U2 S good poor bad U2 U2 I U2 S noChange genuine 86300 completeSurvey 47.39
Marmota marmota latirostris ALP 600 30.17 S predefined aeq 354 472 N/A i N/A estimate completeSurvey 28.72 I 32 | 32 predefined aeq yes Yes FV S good good good FV FV I FV I noChange noChange 700 completeSurvey 30.43
Martes martes ALP 13700 5.35 S predefined aeq N/A N/A 2000 i N/A minimum estimateExpert 3.86 S predefined aeq yes Yes FV S good good good FV FV S FV S noChange noChange 9300 estimateExpert 5.66
Martes martes CON 308700 28.69 S predefined aeq N/A N/A 16000 i N/A minimum estimateExpert 13.35 S predefined aeq yes Yes FV S good good good FV FV S FV S noChange noChange 190500 estimateExpert 24.83
Microtus tatricus ALP 147 7.21 S predefined aeq N/A N/A N/A i 7 estimate estimatePartial 93.60 Unk x predefined aeq yes Yes FV S good good good FV FV S FV Unk noChange knowledge 700 estimatePartial 22.58
Muscardinus avellanarius CON 42000 8.87 Unk predefined aeq N/A N/A N/A i 7 estimate estimateExpert 1.19 Unk x x yes Yes FV Unk good unk good FV FV Unk FV Unk noChange noChange 17900 absentData 6.03
Muscardinus avellanarius ALP 9400 9 Unk predefined aeq N/A N/A N/A i 5 estimate estimateExpert 0.21 Unk x x yes Yes FV Unk good unk good FV FV Unk FV Unk noChange noChange 3500 absentData 4.72
Mustela putorius ALP 10200 7.86 S predefined aeq N/A N/A N/A i 5 estimate estimateExpert 22.83 S predefined aeq yes Yes FV S good good good FV FV S FV S noChange noChange 6300 estimateExpert 8.53
Mustela putorius CON 308800 30.26 S predefined aeq N/A N/A N/A i 7 estimate estimateExpert 39.93 S predefined aeq yes Yes FV S good good good FV FV S FV S noChange noChange 208300 estimateExpert 32.66
Myotis bechsteinii CON 28900 5.54 S predefined aeq N/A N/A N/A i 7 estimate estimateExpert 0.93 D -72 | -72 predefined 51-100 yes No U1 D good bad poor U2 U2 D U2 Unk noChange genuine 15000 estimatePartial 5.31
Myotis bechsteinii ALP 4500 5.96 S predefined aeq N/A N/A N/A i 5 minimum estimateExpert 4.04 Unk x x yes Yes U1 D good unk poor U1 U1 D XX knowledge knowledge 1800 estimatePartial 3.78
Myotis brandtii ALP 13700 21.56 S predefined aeq 5000 15000 N/A i N/A estimate estimateExpert 79.13 S predefined aeq yes Yes FV S good good good FV FV S FV I noChange knowledge 3100 absentData 8.01
Myotis brandtii CON 61800 12.33 S predefined aeq N/A N/A N/A i 7 estimate estimateExpert 10.39 S predefined aeq yes Yes FV S good good good FV FV S FV I noChange knowledge 11300 absentData 5.46
Myotis dasycneme CON 25500 17.15 S predefined aeq N/A N/A N/A i 4 estimate estimatePartial 14.11 D -37 | -7 predefined 26-50 yes No U1 S good bad poor U2 U2 D U1 Unk genuine genuine 16800 absentData 27.72
Myotis dasycneme ALP 2200 N/A Unk x N/A N/A N/A i 3 estimate absentData N/A Unk x x unknown Unknown XX Unk unk unk unk XX XX Unk XX noChange noChange 900 absentData N/A
Myotis daubentonii CON 181200 20.53 S predefined aeq N/A N/A N/A i 7 estimate estimateExpert 0.90 U x predefined aeq no No no U2 D good poor bad U2 U2 D U1 D genuine noChange 27000 estimateExpert 4.72
Myotis daubentonii ALP 12000 9 S predefined aeq N/A N/A N/A i 5 estimate estimateExpert 0.82 S predefined aeq unknown Unknown XX Unk good good unk FV FV S FV Unk noChange other 2900 estimateExpert 2.45
Myotis emarginatus CON 12200 2.69 S predefined 2-10 N/A N/A 3605 i N/A minimum estimatePartial 1.99 I 102 | 102 12960 i yes No U1 D good poor poor U1 U2 S U1 D other method 5800 estimatePartial 2.52
Myotis emarginatus ALP 9800 7.02 S predefined aeq N/A N/A 1729 i N/A minimum estimatePartial 2.85 I 93 | 93 10800 i yes No U1 D good good poor U1 U2 S FV I other knowledge 4100 estimatePartial 4.63
Myotis myotis ALP 14500 7.91 S predefined aeq N/A N/A N/A i 5 minimum estimateExpert 1.88 D -50 | -26 predefined 51-100 yes No U2 S poor bad good U2 U2 D U1 Unk genuine genuine 5700 estimatePartial 4.49
Myotis myotis CON 216700 22.62 S predefined aeq 34000 53000 N/A i N/A estimate estimatePartial 4.33 D -50 | -26 predefined 51-100 no No unknown U2 D poor bad bad U2 U2 D FV S genuine genuine 48100 estimatePartial 8.43
Myotis mystacinus ALP 14700 11.07 S predefined aeq N/A N/A 10000 i N/A minimum estimatePartial 12.08 S predefined aeq yes Yes FV S good good good FV FV S FV S noChange noChange 4600 absentData 4.64
Myotis mystacinus CON 70400 11.60 S predefined aeq N/A N/A 12000 i N/A minimum estimateExpert 4.79 S predefined aeq yes Yes FV S good good good FV FV S FV S noChange noChange 13300 absentData 3.92
Myotis nattereri ALP 1500 2.78 S predefined aeq N/A N/A N/A i 4 minimum estimateExpert 1.96 S predefined aeq yes Yes FV S good good good FV FV S FV S noChange noChange 1200 absentData 2.70
Myotis nattereri CON 78300 13.86 S predefined aeq N/A N/A 23000 i N/A minimum estimateExpert 11 S predefined aeq yes Yes FV S good good good FV FV S FV I noChange unknown 31000 absentData 9.69
Nyctalus leisleri ALP 3900 2.50 S predefined aeq N/A N/A 520 i N/A minimum estimateExpert 1.08 Unk x x yes Unknown XX Unk good unk unk XX XX XX noChange noChange 900 absentData 0.84
Nyctalus leisleri CON 60600 8.24 S predefined aeq N/A N/A 1000 i N/A minimum estimateExpert 0.43 Unk x x yes Unknown XX Unk good unk unk XX XX XX noChange noChange 7500 absentData 1.97
Nyctalus noctula CON 251800 13.01 S predefined aeq N/A N/A 10000 i N/A minimum estimateExpert 0.81 Unk x predefined aeq yes Yes FV Unk good unk good FV FV Unk FV I noChange other 37600 absentData 7.23
Nyctalus noctula ALP 14100 9.77 S predefined aeq N/A N/A 1000 i N/A minimum estimateExpert 0.16 Unk x x yes Yes FV Unk good unk good FV FV Unk FV I noChange other 2100 absentData 2.35
Phoca vitulina MBAL 8300 N/A Unk x 6 47 N/A i N/A estimate estimateExpert N/A Unk x x unknown Unknown XX Unk unk unk unk XX XX U2 S noChange noChange 5800 estimateExpert N/A
Phocoena phocoena MBAL 37300 33.10 Unk predefined aeq N/A N/A 43 i N/A estimate completeSurvey 0.59 Unk x predefined 51-100 yes Unknown U1 D unk unk bad U2 U2 Unk U2 S noChange knowledge 35000 estimatePartial 55.47
Pipistrellus nathusii CON 174300 19.98 S predefined aeq N/A N/A 15276 i N/A minimum estimatePartial 2.17 Unk x x yes Yes FV Unk good unk good FV FV Unk FV S noChange knowledge 34800 estimatePartial 8.94
Pipistrellus nathusii ALP 7700 N/A Unk x N/A N/A N/A i 4 estimate estimatePartial N/A Unk x x unknown Unknown XX Unk unk unk unk XX XX XX noChange noChange 1500 estimatePartial N/A
Pipistrellus pipistrellus ALP 12200 5.54 S predefined aeq N/A N/A 40000 i N/A minimum estimateExpert 2.31 S predefined aeq yes Yes FV S good good good FV FV S FV Unk noChange knowledge 2900 estimateExpert 1.73
Pipistrellus pipistrellus CON 107600 11.42 S predefined aeq N/A N/A 60000 i N/A minimum estimateExpert 0.85 S predefined aeq yes Yes FV S good good good FV FV S FV Unk noChange knowledge 23600 estimateExpert 3.80
Pipistrellus pygmaeus ALP 6900 7.08 S predefined aeq N/A N/A 60000 i N/A minimum estimateExpert 73.64 S predefined aeq yes Yes FV S good good good FV FV S XX knowledge knowledge 1300 estimateExpert 2.06
Pipistrellus pygmaeus CON 87200 12.66 S predefined aeq N/A N/A 900000 i N/A minimum estimateExpert 39.71 S predefined aeq yes Yes FV S good good good FV FV S FV Unk noChange knowledge 15600 estimateExpert 5.09
Plecotus auritus CON 89100 12.80 S predefined aeq N/A N/A N/A i 7 minimum estimateExpert 3.19 S predefined aeq unknown Unknown XX Unk good good poor U1 U1 S U1 D noChange unknown 39800 absentData 8.48
Plecotus auritus ALP 5300 3.75 S predefined aeq N/A N/A N/A i 5 minimum estimateExpert 1.89 S predefined aeq unknown Unknown XX Unk good good poor U1 U1 S FV Unk method method 2400 absentData 2.13
Plecotus austriacus CON 126200 20.52 S predefined aeq N/A N/A N/A i 6 minimum estimateExpert 1.89 S predefined aeq unknown Unknown XX Unk good good poor U1 U1 S XX method method 13700 absentData 5.05
Plecotus austriacus ALP 4200 5.60 Unk predefined aeq N/A N/A N/A i 3 minimum estimateExpert 0.60 Unk x x unknown Unknown XX Unk unk unk unk XX XX XX noChange noChange 700 absentData 1.67
Pusa hispida botnica MBAL 2100 N/A Unk x 0 5 N/A i N/A minimum estimateExpert N/A Unk x x unknown Unknown XX Unk unk unk unk XX XX XX noChange noChange 1000 estimateExpert N/A
Rhinolophus ferrumequinum CON 100 N/A Unk x N/A N/A 0 i N/A minimum absentData N/A Unk x x unknown Unknown XX Unk unk unk unk XX XX XX noChange noChange 100 estimateExpert N/A
Rhinolophus hipposideros ALP 9600 4.96 S predefined aeq N/A N/A 7168 i N/A minimum estimatePartial 7.58 I 46.8 | 46.8 18720 i yes No U1 D good good poor U1 U2 S U1 S other noChange 6800 estimatePartial 4.58
Rhinolophus hipposideros CON 11900 2.83 S predefined aeq N/A N/A 7872 i N/A minimum estimatePartial 5.06 I 106 | 106 18000 i yes No U1 D good good poor U1 U2 S U1 S other noChange 7500 estimatePartial 2.72
Rupicapra rupicapra tatrica ALP 600 27.11 S predefined aeq 267 364 N/A i N/A estimate completeSurvey 24.93 S predefined aeq yes Yes FV S good poor good U1 U1 S FV I genuine genuine 700 completeSurvey 28
Sicista betulina CON 11600 64.42 Unk x N/A N/A N/A i 6 estimate estimateExpert 70.66 Unk x x yes Yes FV Unk unk unk good XX XX XX noChange noChange 6500 absentData 73.03
Sicista betulina ALP 1600 31.88 Unk predefined aeq N/A N/A N/A i 5 estimate estimateExpert 13.80 Unk x x yes Yes FV Unk unk unk good XX XX XX noChange noChange 1000 absentData 20
Sicista subtilis CON 2700 90 Unk x N/A N/A N/A i 3 minimum estimateExpert 66.67 Unk x x unknown Unknown XX Unk unk unk unk XX XX XX noChange noChange 1300 absentData 92.86
Spermophilus citellus CON 200 0.22 D predefined 51-100 N/A N/A 721 i N/A estimate completeSurvey 0.36 D -51 | -51 predefined 51-100 no No yes U2 D bad bad bad U2 U2 D U2 Unk noChange noChange 200 completeSurvey 0.59
Spermophilus suslicus CON 2800 100 D 3500 N/A N/A 608 i N/A minimum completeSurvey 100 D -100 | -51 predefined 51-100 no Yes unknown U1 D poor bad poor U2 U2 D U2 D noChange noChange 1300 completeSurvey 100
Ursus arctos ALP 11000 4.27 S predefined aeq N/A N/A 100 i N/A minimum estimateExpert 0.81 U 0 | 12 predefined aeq unknown No U1 D good good poor U1 U1 D U1 S noChange genuine 11000 completeSurvey 4.15
Vespertilio murinus CON 177800 25.02 S predefined aeq N/A N/A N/A i 6 minimum estimateExpert 7.78 Unk x predefined aeq yes Yes FV Unk good unk good FV FV Unk FV Unk noChange noChange 19900 absentData 9.74
Vespertilio murinus ALP 14300 11.32 S predefined aeq N/A N/A N/A i 5 minimum estimateExpert 8.41 Unk x predefined aeq yes Yes FV Unk good unk good FV FV Unk FV Unk noChange noChange 3600 absentData 4.64