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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, Austria, 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
AT 12800 13047.91 12923.96
AT 20000 20387.36 20193.68
AT 18100 18100 18100
AT 25300 25300 25300
AT 11020.41 12000 11510.2
AT 36020.41 39222.22 37621.32
AT 21800 22222.22 22011.11
AT 34600 35270.13 34935.07
AT 28200 28746.18 28473.09
AT 200 200 200
AT 10510.2 11444.44 10977.32
AT 408.16 444.44 426.3
AT 8163.27 8888.89 8526.08
AT 13900 13900 13900
AT 7500 7500 7500
AT 12134.83 21600 16867.42
AT 11530.61 12555.56 12043.08
AT 3265.31 3555.56 3410.43
AT 2247.19 4000 3123.6
AT 6800 6931.7 6865.85
AT 6400 6523.96 6461.98
AT 7800 7800 7800
AT 46400 47298.67 46849.34
AT 37200 37920.49 37560.24
AT 4943.82 8800 6871.91
AT 20408.16 1000000 510204.08
AT 25800 26299.69 26049.85
AT 26000 26503.57 26251.78
AT 816.33 888.89 852.61
AT 408.16 20000 10204.08
AT 204.08 10000 5102.04
AT 12653.06 13777.78 13215.42
AT 7500 7500 7500
AT 0 0 0
AT 26800 27319.06 27059.53
AT 21500 21916.41 21708.21
AT 600 600 600
AT 1020.41 1111.11 1065.76
AT 5714.29 6222.22 5968.25
AT 5612.24 6111.11 5861.68
AT 1632.65 80000 40816.33
AT 2653.06 130000 66326.53
AT 2653.06 2888.89 2770.98
AT 3061.22 3333.33 3197.28
AT 600 600 600
AT 11500 11722.73 11611.37
AT 14000 14271.15 14135.58
AT 700 700 700
AT 16700 17023.45 16861.72
AT 12100 12334.35 12217.18
AT 28900 29459.73 29179.87
AT 20000 20387.36 20193.68
AT 12900 13149.85 13024.92
AT 8800 8970.44 8885.22
AT 13877.55 15111.11 14494.33
AT 8265.31 9000 8632.65
AT 7500 7500 7500
AT 4200 4200 4200
AT 13300 13557.59 13428.8
AT 17700 18042.81 17871.41
AT 6600 6727.83 6663.91
AT 9700 9887.87 9793.93
AT 4897.96 5333.33 5115.65
AT 7653.06 8333.33 7993.2
AT 28200 28746.18 28473.09
AT 15000 15290.52 15145.26
AT 14500 14780.84 14640.42
AT 12700 12945.97 12822.99
AT 11500 11500 11500
AT 6200 6200 6200
AT 2808.99 5000 3904.49
AT 16530.61 810000 413265.31
AT 2500 2500 2500
AT 1910.11 3400 2655.06
AT 4831.46 8600 6715.73
AT 32448.98 35333.33 33891.16
AT 11600 11600 11600
AT 600 600 600
AT 53300 54332.31 53816.16
AT 408.16 444.44 426.3
AT 1000 1000 1000
AT 300 300 300
AT 9400 9400 9400
AT 26122.45 1280000 653061.22
AT 12700 12945.97 12822.99
AT 20200 20591.23 20395.62

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
AT 1000 5000 N/A i estimate N/A N/A N/A N/A
AT 1000 5000 N/A i estimate N/A N/A N/A N/A
AT N/A N/A N/A i 103 N/A N/A grids10x10 minimum
AT N/A N/A N/A 130 N/A N/A grids10x10 minimum
AT N/A N/A 38 i estimate N/A N/A 5 bfemales estimate
AT N/A N/A 64 i estimate N/A N/A 4 bfemales estimate
AT 9500 10000 N/A i estimate N/A N/A N/A N/A
AT 9820 11654 N/A i estimate N/A N/A N/A N/A
AT 4013 5000 N/A i minimum N/A N/A N/A N/A
AT N/A N/A N/A N/A N/A N/A N/A
AT 20000 60000 N/A i minimum N/A N/A 838 grids1x1 minimum
AT N/A N/A N/A i estimate N/A N/A 6 grids1x1 minimum
AT N/A N/A N/A i estimate N/A N/A 88 grids1x1 minimum
AT 1000 5000 N/A i estimate N/A N/A N/A N/A
AT 1000 5000 N/A i estimate N/A N/A N/A N/A
AT 500 1000 N/A i estimate N/A N/A N/A N/A
AT 1000 5000 N/A i estimate N/A N/A N/A N/A
AT N/A N/A N/A i estimate N/A N/A N/A N/A
AT N/A N/A N/A i estimate N/A N/A N/A N/A
AT 1000 5000 N/A i estimate N/A N/A N/A N/A
AT 1000 5000 N/A i estimate N/A N/A N/A N/A
AT N/A N/A N/A i N/A N/A 485 grids1x1 minimum
AT 1600 2500 N/A i minimum 1200 1900 N/A adults minimum
AT 1500 2200 N/A i minimum 1100 1700 N/A adults minimum
AT 19 25 N/A i estimate 4 8 N/A bfemales estimate
AT 17 22 N/A i minimum 1 2 N/A bfemales minimum
AT N/A N/A N/A i 465 N/A N/A grids1x1 minimum
AT N/A N/A N/A i N/A N/A 1199 grids1x1 minimum
AT N/A N/A N/A i estimate N/A N/A 32 grids1x1 estimate
AT 50 100 N/A i estimate N/A N/A N/A N/A
AT N/A 50 N/A i estimate N/A N/A N/A N/A
AT N/A N/A N/A i estimate N/A N/A 192 grids1x1 minimum
AT N/A N/A N/A i estimate N/A N/A 87 grids1x1 estimate
AT N/A N/A N/A 35 N/A N/A grids1x1 minimum
AT N/A N/A N/A i N/A N/A 1038 grids1x1 minimum
AT N/A N/A N/A i N/A N/A 254 grids1x1 minimum
AT 50 100 N/A i estimate N/A N/A N/A N/A
AT 100 500 N/A i estimate N/A N/A N/A N/A
AT 1000 5000 N/A i estimate N/A N/A N/A N/A
AT 500 1000 N/A i estimate N/A N/A N/A N/A
AT 50 100 N/A i estimate N/A N/A N/A N/A
AT N/A 50 N/A i estimate N/A N/A N/A N/A
AT 100 500 N/A i estimate N/A N/A N/A N/A
AT 100 500 N/A i estimate N/A N/A N/A N/A
AT N/A 50 N/A i estimate N/A N/A N/A N/A
AT 10000 50000 N/A i estimate N/A N/A N/A N/A
AT 5000 10000 N/A i estimate N/A N/A N/A N/A
AT 100 500 N/A i estimate N/A N/A N/A N/A
AT 3400 N/A N/A i minimum N/A N/A N/A N/A
AT 2200 N/A N/A i minimum N/A N/A N/A N/A
AT 10000 50000 N/A i estimate N/A N/A N/A N/A
AT 10000 50000 N/A i estimate N/A N/A N/A N/A
AT 5000 10000 N/A i estimate N/A N/A N/A N/A
AT 5000 10000 N/A i estimate N/A N/A N/A N/A
AT 1000 5000 N/A i estimate N/A N/A N/A N/A
AT 1000 5000 N/A i estimate N/A N/A N/A N/A
AT 1000 5000 N/A i estimate N/A N/A N/A N/A
AT 1000 5000 N/A i estimate N/A N/A N/A N/A
AT 5000 10000 N/A i estimate N/A N/A N/A N/A
AT 10000 50000 N/A i estimate N/A N/A N/A N/A
AT 5000 10000 N/A i estimate N/A N/A N/A N/A
AT 10000 50000 N/A i estimate N/A N/A N/A N/A
AT 5000 10000 N/A i estimate N/A N/A N/A N/A
AT 5000 10000 N/A i estimate N/A N/A N/A N/A
AT 10000 50000 N/A i estimate N/A N/A N/A N/A
AT 10000 50000 N/A i estimate N/A N/A N/A N/A
AT 10000 50000 N/A i estimate N/A N/A N/A N/A
AT 5000 10000 N/A i estimate N/A N/A N/A N/A
AT 1000 5000 N/A i estimate N/A N/A N/A N/A
AT 1000 5000 N/A i estimate N/A N/A N/A N/A
AT 100 500 N/A i estimate N/A N/A N/A N/A
AT 1000 5000 N/A i estimate N/A N/A N/A N/A
AT 100 500 N/A i estimate N/A N/A N/A N/A
AT N/A 50 N/A i estimate N/A N/A N/A N/A
AT 100 500 N/A i estimate N/A N/A N/A N/A
AT 14000 N/A N/A i minimum N/A N/A N/A N/A
AT 1600 N/A N/A i minimum N/A N/A N/A N/A
AT N/A N/A N/A N/A N/A N/A N/A
AT N/A N/A 128000 i minimum N/A N/A N/A N/A
AT N/A N/A N/A N/A N/A 7 grids1x1 minimum
AT N/A N/A N/A N/A N/A 13 grids1x1 minimum
AT 78 113 N/A i estimate N/A N/A N/A N/A
AT 155400 156400 N/A i estimate N/A N/A N/A N/A
AT 2 5 N/A i minimum N/A N/A N/A bfemales estimate
AT 1000 5000 N/A i estimate N/A N/A N/A N/A
AT 1000 5000 N/A i estimate N/A N/A N/A N/A
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
AT 3000 3154.57 3077.29
AT 3000 3154.57 3077.29
AT N/A N/A N/A
AT N/A N/A N/A
AT 77.55 3800 1938.78
AT 130.61 6400 3265.31
AT 9750 10252.37 10001.18
AT 10737 11290.22 11013.61
AT 4506.5 4738.7 4622.6
AT N/A N/A N/A
AT 81632.65 4000000 2040816.33
AT 750 750 750
AT 7500 7500 7500
AT 3000 3154.57 3077.29
AT 3000 3000 3000
AT 789.47 1000 894.74
AT 4054.05 6000 5027.03
AT 101.35 150 125.68
AT 51.02 2500 1275.51
AT 3000 3154.57 3077.29
AT 3000 3154.57 3077.29
AT N/A N/A N/A
AT 2050 2155.63 2102.81
AT 1850 1945.32 1897.66
AT 44.9 2200 1122.45
AT 39.8 1950 994.9
AT N/A N/A N/A
AT N/A N/A N/A
AT 315.79 400 357.89
AT 153.06 7500 3826.53
AT 51.02 2500 1275.51
AT 7894.74 10000 8947.37
AT 3157.89 4000 3578.95
AT N/A N/A N/A
AT N/A N/A N/A
AT N/A N/A N/A
AT 75 75 75
AT 315.79 400 357.89
AT 3157.89 4000 3578.95
AT 789.47 1000 894.74
AT 153.06 7500 3826.53
AT 51.02 2500 1275.51
AT 315.79 400 357.89
AT 315.79 400 357.89
AT 25 25 25
AT 30000 31545.74 30772.87
AT 7500 7886.44 7693.22
AT 300 300 300
AT 3400 3575.18 3487.59
AT 2200 2313.35 2256.68
AT 31578.95 40000 35789.47
AT 30000 31545.74 30772.87
AT 7500 7886.44 7693.22
AT 7500 7886.44 7693.22
AT 3157.89 4000 3578.95
AT 3157.89 4000 3578.95
AT 3157.89 4000 3578.95
AT 3157.89 4000 3578.95
AT 7500 7886.44 7693.22
AT 30000 30000 30000
AT 7500 7886.44 7693.22
AT 30000 31545.74 30772.87
AT 7894.74 10000 8947.37
AT 7894.74 10000 8947.37
AT 30000 31545.74 30772.87
AT 30000 31545.74 30772.87
AT 30000 31545.74 30772.87
AT 7500 7886.44 7693.22
AT 3000 3000 3000
AT 3000 3000 3000
AT 405.41 600 502.7
AT 6122.45 300000 153061.22
AT 315.79 400 357.89
AT 51.02 2500 1275.51
AT 612.24 30000 15306.12
AT 14736.84 18666.67 16701.75
AT 1684.21 2133.33 1908.77
AT N/A N/A N/A
AT 128000 134595.16 131297.58
AT N/A N/A N/A
AT N/A N/A N/A
AT 95.5 95.5 95.5
AT 200000 200000 200000
AT 7.14 350 178.57
AT 3000 3154.57 3077.29
AT 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 CON 12800 1.42 S predefined aeq 1000 5000 N/A i N/A estimate estimatePartial 1.52 S x predefined aeq i yes Yes FV S good poor poor U1 U1 S U1 S noChange noChange 13000 estimatePartial 2.83
Barbastella barbastellus ALP 20000 11.32 S predefined aeq 1000 5000 N/A i N/A estimate estimatePartial 2.77 S predefined aeq i yes Yes FV S good unk unk XX FV S U1 S knowledge noChange 16500 estimatePartial 13.33
Canis aureus CON 18100 0 I x N/A N/A N/A i N/A absentData 0 Unk x N/A no Yes yes N/A S good unk good N/A N/A N/A N/A 11200 estimatePartial 0
Canis aureus ALP 25300 0 I x N/A N/A N/A N/A absentData 0 Unk x N/A no Yes yes N/A S good unk good N/A N/A N/A N/A 14700 estimatePartial 0
Canis lupus CON 10800 0 I predefined 2-10 N/A N/A 38 i N/A estimate estimatePartial 0 I 51 | 100 predefined 51-100 no Yes yes N/A S good unk good N/A N/A N/A N/A 7100 estimatePartial 0
Canis lupus ALP 35300 0 I predefined 2-10 N/A N/A 64 i N/A estimate estimatePartial 0 I above100 predefined 51-100 no Yes yes N/A S good unk good N/A N/A N/A N/A 18500 estimatePartial 0
Capra ibex ALP 21800 39.10 S predefined aeq 9500 10000 N/A i N/A estimate estimatePartial 25.54 I 26 | 50 predefined aeq yes Yes FV S good unk good FV FV I FV S noChange genuine 18800 estimatePartial 27.73
Castor fiber CON 34600 3.91 I predefined aeq 9820 11654 N/A i N/A estimate completeSurvey 5.65 I above100 predefined aeq yes Yes FV S good good good FV FV I FV I noChange noChange 34700 completeSurvey 4.91
Castor fiber ALP 28200 18.80 I predefined aeq 4013 5000 N/A i N/A minimum estimatePartial 25.41 I above100 predefined aeq yes Yes FV S good good good FV FV I U1 I genuine noChange 28500 completeSurvey 28.02
Cricetus cricetus ALP 200 0 Unk x N/A N/A N/A N/A 0 N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 1900 estimatePartial 0
Cricetus cricetus CON 10300 5.46 D predefined 2-10 20000 60000 N/A i N/A minimum estimatePartial 12.25 D x predefined 51-100 yes No U1 D poor bad bad U2 U2 D U2 D noChange noChange 9400 estimatePartial 14.60
Dryomys nitedula CON 400 0.69 D predefined 2-10 N/A N/A N/A i 4 estimate estimateExpert 1.07 U x x no No yes U1 U poor unk poor U1 U1 Unk U1 Unk noChange noChange 700 estimatePartial 7.87
Dryomys nitedula ALP 8000 20.68 S predefined 2-10 N/A N/A N/A i 6 estimate estimateExpert 2.25 Unk x yes Yes FV S good unk good FV U1 S U1 Unk noChange unknown 7100 estimatePartial 38.59
Eptesicus nilssonii ALP 13900 13.08 Unk x 1000 5000 N/A i N/A estimate estimateExpert 9.06 Unk x predefined aeq i yes Yes FV S unk unk unk XX XX Unk FV S other other 11800 estimatePartial 16.28
Eptesicus nilssonii CON 7500 2.39 Unk x 1000 5000 N/A i N/A estimate estimateExpert 2.82 Unk x x yes Yes FV Unk unk unk unk XX XX Unk FV S other other 7600 estimatePartial 6.22
Eptesicus serotinus ALP 10800 6.67 D predefined 11-50 500 1000 N/A i N/A estimate estimateExpert 0.82 Unk x predefined 5-25 yes Unknown U1 D bad poor poor U2 U2 D U1 S genuine genuine 9600 estimatePartial 8.51
Eptesicus serotinus CON 11300 1.06 D predefined 2-10 1000 5000 N/A i N/A estimate estimatePartial 0.49 D x predefined 26-50 yes Unknown U1 D poor bad poor U2 U2 D U2 D noChange noChange 11600 estimatePartial 2.12
Felis silvestris ALP 3200 0 I predefined 2-10 N/A N/A N/A i 2 estimate estimatePartial 0 I x predefined 26-50 no Yes yes N/A S good poor good N/A N/A N/A First time reported First time reported 2800 estimatePartial 0
Felis silvestris CON 2000 0 I predefined 11-50 N/A N/A N/A i 1 estimate estimatePartial 0 I x predefined 51-100 no Yes yes N/A S poor poor good N/A N/A N/A First time reported First time reported 1700 estimatePartial 0
Hypsugo savii ALP 6800 5.43 I predefined aeq 1000 5000 N/A i N/A estimate estimateExpert 6.80 I x predefined aeq i yes Yes FV S good good good FV FV I U1 I genuine noChange 5900 estimatePartial 7.05
Hypsugo savii CON 6400 2.67 I predefined aeq 1000 5000 N/A i N/A estimate estimateExpert 1.94 I x predefined aeq yes Yes FV S good good good FV FV I U1 I genuine noChange 6700 estimatePartial 4.97
Lepus timidus ALP 7800 3.95 Unk x N/A N/A N/A i N/A estimatePartial 0 Unk x yes Yes FV Unk unk unk unk XX XX Unk FV S unknown unknown 7100 estimatePartial 6
Lutra lutra ALP 46400 17.63 I predefined aeq 1600 2500 N/A i N/A minimum completeSurvey 26.43 I 100 | 375 predefined aeq yes Yes FV S good unk good FV FV I U1 I genuine noChange 41800 completeSurvey 21.06
Lutra lutra CON 37200 4.02 U predefined aeq 1500 2200 N/A i N/A minimum completeSurvey 4.51 I 47 | 209 predefined aeq yes Yes FV S good unk good FV FV S FV I noChange unknown 36300 completeSurvey 5.11
Lynx lynx CON 4400 2.16 I predefined 11-50 19 25 N/A i N/A estimate estimatePartial 1.92 I 0 | 12 predefined 51-100 no Yes yes FV S unk bad poor U2 U2 I U1 S knowledge genuine 3500 estimatePartial 1.92
Lynx lynx ALP 10000 4.33 I predefined 51-100 17 22 N/A i N/A minimum estimatePartial 0.86 D -67 | -33 predefined 51-100 no Yes yes FV S bad bad good U2 U2 S U2 Unk noChange knowledge 6400 estimatePartial 2.88
Martes martes ALP 25800 10.08 Unk predefined aeq N/A N/A N/A i N/A absentData 0 Unk predefined aeq yes Yes FV S unk unk good XX FV Unk FV Unk noChange other 26900 estimatePartial 16.37
Martes martes CON 26000 2.42 Unk predefined aeq N/A N/A N/A i N/A estimatePartial 0 Unk predefined aeq yes Yes FV S unk unk good XX FV Unk FV Unk noChange other 26700 estimatePartial 3.48
Microtus oeconomus mehelyi CON 800 100 S predefined 2-10 N/A N/A N/A i 3 estimate estimatePartial 100 Unk x predefined 5-25 yes Yes FV S poor poor poor U1 U1 S U1 S noChange noChange 700 completeSurvey 100
Miniopterus schreibersii CON 200 0.08 S predefined 51-100 50 100 N/A i N/A estimate completeSurvey 0.03 I x predefined 51-100 yes No U1 D bad poor bad U2 U2 S U2 I noChange genuine 200 completeSurvey 0.18
Miniopterus schreibersii ALP 100 0.10 S predefined 51-100 N/A 50 N/A i N/A estimate completeSurvey 0.02 D x predefined 51-100 unknown No U2 Unk bad bad poor U2 U2 D U2 D noChange noChange 100 completeSurvey 0.20
Muscardinus avellanarius ALP 12400 11.87 U predefined 2-10 N/A N/A N/A i 6 estimate estimateExpert 0.52 Unk predefined 5-25 yes Yes FV S good poor good U1 U1 Unk U1 Unk noChange noChange 10200 estimatePartial 13.77
Muscardinus avellanarius CON 7500 1.58 U x N/A N/A N/A i 5 estimate estimateExpert 0.12 U x predefined 5-25 yes No U1 Unk unk poor poor U1 U1 Unk U1 D noChange unknown 7000 estimatePartial 2.36
Mustela eversmanii CON N/A 0 Unk x N/A N/A N/A N/A absentData 0 Unk x x no Yes yes XX Unk unk unk unk XX XX Unk U2 Unk unknown noChange 1900 estimatePartial 54.29
Mustela putorius CON 26800 2.63 Unk predefined aeq N/A N/A N/A i N/A absentData 0 Unk x predefined aeq yes Yes FV S unk unk good XX FV Unk FV Unk noChange other 26500 estimatePartial 4.15
Mustela putorius ALP 21500 16.56 Unk predefined aeq N/A N/A N/A i N/A absentData 0 Unk predefined aeq yes Yes FV S unk unk good XX FV Unk FV Unk noChange other 22500 estimatePartial 30.45
Myotis alcathoe ALP 600 0 Unk x 50 100 N/A i N/A estimate estimateExpert 0 Unk x unknown Unknown unknown XX Unk unk unk unk XX XX Unk U1 Unk other other 600 estimatePartial 0
Myotis alcathoe CON 1000 0.59 S predefined 2-10 100 500 N/A i N/A estimate estimateExpert 0.10 Unk predefined 5-25 yes Yes U1 D poor unk poor U1 U1 D U1 S noChange knowledge 1300 estimatePartial 1.39
Myotis bechsteinii CON 5600 1.07 I predefined 2-10 1000 5000 N/A i N/A estimate estimatePartial 0.09 Unk x predefined 5-25 i yes Yes FV S poor poor unk U1 U1 S U1 Unk noChange knowledge 5600 estimatePartial 1.98
Myotis bechsteinii ALP 5500 7.29 I predefined 2-10 500 1000 N/A i N/A estimate estimatePartial 1.01 Unk x predefined 5-25 yes Yes FV S poor poor good U1 U1 S U1 Unk noChange knowledge 5000 estimatePartial 10.50
Myotis blythii CON 800 0.57 D predefined 51-100 50 100 N/A i N/A estimate estimatePartial 0.16 Unk x predefined 51-100 unknown Unknown XX Unk bad bad unk U2 U2 Unk U2 D noChange unknown 800 estimatePartial 1.24
Myotis blythii ALP 1300 1.35 S predefined 51-100 N/A 50 N/A i N/A estimate estimatePartial 0.06 S x predefined 51-100 unknown Unknown XX Unk bad bad unk U2 U2 S U2 D noChange genuine 1300 estimatePartial 2.49
Myotis brandtii ALP 2600 4.09 S predefined 2-10 100 500 N/A i N/A estimate estimateExpert 2.37 Unk predefined 5-25 yes Yes FV S poor unk poor U1 U1 S U1 S noChange noChange 2300 estimatePartial 5.94
Myotis brandtii CON 3000 0.60 S predefined 2-10 100 500 N/A i N/A estimate estimateExpert 0.10 Unk predefined 5-25 yes Yes FV S poor unk poor U1 U1 S U1 S noChange noChange 3000 estimatePartial 1.45
Myotis dasycneme CON 600 0.40 Unk x N/A 50 N/A i N/A estimate estimateExpert 0.47 Unk x unknown Unknown XX Unk unk unk unk XX XX Unk N/A First time reported First time reported 600 estimatePartial 0.99
Myotis daubentonii CON 11500 1.30 S predefined aeq 10000 50000 N/A i N/A estimate estimatePartial 0.90 S predefined aeq yes Yes FV S good good good FV FV S FV S noChange noChange 11800 estimatePartial 2.06
Myotis daubentonii ALP 14000 10.51 S predefined aeq 5000 10000 N/A i N/A estimate estimateExpert 2.06 S predefined aeq yes Yes FV S good good good FV FV S FV I noChange genuine 11600 estimatePartial 9.81
Myotis davidii ALP 700 0 Unk x 100 500 N/A i N/A estimate estimatePartial 0 Unk N/A N/A N/A N/A N/A N/A N/A N/A N/A First time reported First time reported 600 estimatePartial 0
Myotis emarginatus ALP 16700 11.96 I predefined aeq 3400 N/A N/A i N/A minimum estimatePartial 5.61 S predefined aeq yes Yes U1 D good poor poor U1 U1 D U1 D noChange noChange 13300 completeSurvey 15.03
Myotis emarginatus CON 12100 2.67 S predefined aeq 2200 N/A N/A i N/A minimum estimatePartial 1.21 S predefined aeq yes Yes U1 D good poor poor U1 U1 D U1 D noChange noChange 12300 completeSurvey 5.33
Myotis myotis ALP 28900 15.76 S predefined aeq 10000 50000 N/A i N/A estimate completeSurvey 18.76 D x predefined 5-25 yes Yes FV S good poor good U1 U1 D U1 S noChange genuine 21800 completeSurvey 17.18
Myotis myotis CON 20000 2.09 S predefined aeq 10000 50000 N/A i N/A estimate completeSurvey 2.98 U x predefined aeq yes Yes FV S good good good FV FV S FV I noChange genuine 20100 completeSurvey 3.52
Myotis mystacinus ALP 12900 9.72 S predefined aeq 5000 10000 N/A i N/A estimate estimatePartial 9.06 Unk predefined aeq yes Yes XX Unk good good unk FV FV Unk FV S noChange other 11200 estimatePartial 11.30
Myotis mystacinus CON 8800 1.45 S predefined aeq 5000 10000 N/A i N/A estimate estimateExpert 2.99 Unk predefined aeq yes Yes XX Unk good good unk FV FV Unk FV S noChange other 11100 estimatePartial 3.27
Myotis nattereri ALP 13600 25.22 S predefined 2-10 1000 5000 N/A i N/A estimate estimateExpert 7.84 Unk predefined 5-25 yes Yes FV S poor unk good U1 U1 S U1 S noChange noChange 11500 estimatePartial 25.90
Myotis nattereri CON 8100 1.43 S predefined 2-10 1000 5000 N/A i N/A estimate estimateExpert 1.44 Unk predefined 5-25 yes Yes FV S poor unk good U1 U1 S U1 S noChange noChange 8100 estimatePartial 2.53
Nyctalus leisleri ALP 7500 4.82 S x 1000 5000 N/A i N/A estimate estimateExpert 6.20 Unk predefined 5-25 yes Yes FV S unk poor poor U1 U1 S U1 S noChange noChange 6500 estimatePartial 6.09
Nyctalus leisleri CON 4200 0.57 S x 1000 5000 N/A i N/A estimate estimateExpert 1.30 Unk predefined 5-25 yes Yes U1 D unk poor poor U1 U1 D U1 S noChange genuine 4400 estimatePartial 1.15
Nyctalus noctula ALP 13300 9.22 S predefined aeq 5000 10000 N/A i N/A estimate estimatePartial 1.20 S predefined aeq yes Yes FV S good unk unk XX FV S U1 S method noChange 11500 estimatePartial 12.89
Nyctalus noctula CON 17700 0.91 S predefined aeq 10000 50000 N/A i N/A estimate estimatePartial 2.43 U x x yes Yes FV S good poor poor U1 U1 S U1 S noChange noChange 17900 estimatePartial 3.44
Pipistrellus kuhlii ALP 6600 6.56 I predefined aeq 5000 10000 N/A i N/A estimate estimateExpert 4.47 I x predefined aeq i yes Yes FV S good good good FV FV I U1 I genuine noChange 6400 estimatePartial 8.72
Pipistrellus kuhlii CON 9700 2.58 I predefined aeq 10000 50000 N/A i N/A estimate estimateExpert 3.06 I x predefined aeq yes Yes FV S good good good FV FV I U1 I genuine noChange 10800 estimatePartial 4.52
Pipistrellus nathusii CON 4800 0.55 Unk predefined 2-10 5000 10000 N/A i N/A estimate estimateExpert 1.06 Unk x predefined 5-25 yes Yes U1 D poor poor poor U1 U1 Unk U1 S noChange unknown 5800 estimatePartial 1.49
Pipistrellus nathusii ALP 7500 8.18 S predefined 2-10 5000 10000 N/A i N/A estimate estimateExpert 5.20 Unk predefined 5-25 yes Yes FV S poor poor good U1 U1 S U1 S noChange noChange 6800 estimatePartial 11.91
Pipistrellus pipistrellus ALP 28200 12.81 S predefined aeq 10000 50000 N/A i N/A estimate estimatePartial 1.73 Unk x predefined aeq yes Yes FV S good unk unk XX FV S FV S noChange noChange 24100 completeSurvey 14.35
Pipistrellus pipistrellus CON 15000 1.59 S predefined aeq 10000 50000 N/A i N/A estimate estimatePartial 0.43 Unk predefined aeq yes Yes U1 D good unk poor U1 U1 D FV S genuine genuine 16100 completeSurvey 2.59
Pipistrellus pygmaeus CON 14500 2.10 S predefined aeq 10000 50000 N/A i N/A estimate estimateExpert 1.32 S predefined aeq yes Yes FV S good good good FV FV S FV S noChange noChange 14500 completeSurvey 4.74
Pipistrellus pygmaeus ALP 12700 13.04 S predefined aeq 5000 10000 N/A i N/A estimate estimateExpert 9.21 Unk predefined aeq yes Yes FV S good good good FV FV S FV S noChange noChange 11100 completeSurvey 17.59
Plecotus auritus ALP 11500 8.13 S x 1000 5000 N/A i N/A estimate estimatePartial 1.89 S x yes Yes FV S unk unk good XX XX S FV S other noChange 9700 estimatePartial 8.60
Plecotus auritus CON 6200 0.89 Unk x 1000 5000 N/A i N/A estimate estimatePartial 0.32 Unk x yes Yes FV S unk unk good XX XX Unk FV S other other 6200 estimatePartial 1.32
Plecotus austriacus ALP 2500 3.33 Unk predefined 11-50 100 500 N/A i N/A estimate estimateExpert 0.60 D x predefined 26-50 yes No U1 D bad bad poor U2 U2 D U1 Unk genuine genuine 1900 completeSurvey 4.52
Plecotus austriacus CON 8100 1.32 D predefined 51-100 1000 5000 N/A i N/A estimate estimatePartial 0.76 D x predefined 51-100 yes No U1 D bad bad bad U2 U2 D U1 D genuine noChange 8700 completeSurvey 3.21
Plecotus macrobullaris ALP 2500 6.08 Unk x 100 500 N/A i N/A estimate estimatePartial 4.59 Unk predefined 5-25 yes Yes FV S unk unk good XX U1 Unk U1 Unk noChange noChange 2300 estimatePartial 8.55
Rhinolophus ferrumequinum CON 1700 0.42 S predefined 11-50 N/A 50 N/A i N/A estimate estimatePartial 0.03 S predefined 51-100 unknown No U2 D bad bad bad U2 U2 D U2 S noChange genuine 1700 completeSurvey 0.74
Rhinolophus ferrumequinum ALP 4300 3.12 S predefined 11-50 100 500 N/A i N/A estimate estimatePartial 0.71 S predefined 51-100 no No unknown U2 D unk bad bad U2 U2 D U2 S noChange genuine 3700 completeSurvey 4.03
Rhinolophus hipposideros ALP 31800 16.41 S predefined 2-10 14000 N/A N/A i N/A minimum estimatePartial 14.81 S predefined 5-25 i yes Yes FV S poor poor good U1 U1 S U1 I noChange genuine 26800 completeSurvey 18.05
Rhinolophus hipposideros CON 11600 2.76 S x 1600 N/A N/A i N/A minimum estimatePartial 1.03 S predefined 5-25 yes Yes U1 D unk poor poor U1 U1 D U1 I noChange genuine 11600 completeSurvey 4.20
Rupicapra rupicapra CON 600 0 Unk x N/A N/A N/A N/A 0 N/A N/A N/A N/A N/A N/A N/A N/A N/A FV S N/A 3800 estimatePartial 0
Rupicapra rupicapra ALP 53300 35.28 S predefined aeq N/A N/A 128000 i N/A minimum estimatePartial 41.38 S 0 | 12 predefined aeq yes Yes FV S good unk good FV FV S FV S noChange noChange 51800 estimatePartial 30.06
Sicista betulina CON 400 2.22 Unk predefined 2-10 N/A N/A N/A N/A absentData 0 Unk x no Yes yes U1 Unk poor unk poor U1 U1 Unk U2 Unk knowledge noChange 400 estimatePartial 4.49
Sicista betulina ALP 1000 19.92 Unk x N/A N/A N/A N/A absentData 0 Unk x unknown Unknown XX D unk unk unk XX XX Unk U1 Unk other noChange 1000 estimatePartial 20
Spermophilus citellus ALP 300 0 Unk x 78 113 N/A i N/A estimate estimatePartial 0 Unk N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 1200 estimatePartial 0
Spermophilus citellus CON 9400 10.23 U x 155400 156400 N/A i N/A estimate completeSurvey 78.49 U 200000 i no Yes yes U1 U poor poor poor U1 U1 Unk U1 S noChange unknown 8400 estimatePartial 24.71
Ursus arctos ALP 12800 4.97 I predefined 51-100 2 5 N/A i N/A minimum estimatePartial 0.03 D -50 | -26 predefined 51-100 no Yes yes FV S bad bad good U2 U2 S U2 D noChange genuine 5000 estimatePartial 1.89
Vespertilio murinus CON 12700 1.79 I predefined aeq 1000 5000 N/A i N/A estimate estimateExpert 3.11 Unk predefined aeq yes Yes FV S good unk good FV FV S U1 S knowledge noChange 13800 estimatePartial 6.75
Vespertilio murinus ALP 20200 15.99 I predefined aeq 1000 5000 N/A i N/A estimate estimateExpert 8.41 Unk predefined aeq yes Yes FV S good unk good FV FV S U1 S knowledge noChange 16500 estimatePartial 21.26