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Article 17 > Species report

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, Italy, 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
IT 466358 475390.42 470874.21
IT 20400 20795.11 20597.55
IT 15900 16207.95 16053.98
IT 14800 15086.65 14943.32
IT 22244.9 1090000 556122.45
IT 36326.53 1780000 908163.27
IT 114800 117023.45 115911.72
IT 61800 62996.94 62398.47
IT 77400 78899.08 78149.54
IT 28500 29051.99 28775.99
IT 5100 5198.78 5149.39
IT 16400 16717.64 16558.82
IT 32555 33185.52 32870.26
IT 1326.53 1444.44 1385.49
IT 5510.2 6000 5755.1
IT 19100 19469.93 19284.96
IT 53000 54026.5 53513.25
IT 30800 31396.53 31098.27
IT 20400 20795.11 20597.55
IT 12300 12538.23 12419.11
IT 58300 59429.15 58864.58
IT 17300 17635.07 17467.53
IT 27765 28302.75 28033.88
IT 189086 192748.22 190917.11
IT 72000 73394.5 72697.25
IT 38400 39143.73 38771.87
IT 70800 72171.25 71485.63
IT 9700 9887.87 9793.93
IT 116100 118348.62 117224.31
IT 68000 69317.02 68658.51
IT 47300 48216.11 47758.05
IT 22448.98 1100000 561224.49
IT 21632.65 1060000 540816.33
IT 53300 54332.31 53816.16
IT 107100 109174.31 108137.16
IT 55600 56676.86 56138.43
IT 52700 53720.69 53210.35
IT 24800 25280.33 25040.16
IT 9200 9200 9200
IT 60600 61773.7 61186.85
IT 44489.8 2180000 1112244.9
IT 46300 47196.74 46748.37
IT 29800 30377.17 30088.58
IT 49300 50254.84 49777.42
IT 62900 64118.25 63509.12
IT 64000 65239.55 64619.78
IT 18800 19164.12 18982.06
IT 500 500 500
IT 1000 1000 1000
IT 5700 5700 5700
IT 6200 6200 6200
IT 8600 8600 8600
IT 10200 10397.55 10298.78
IT 16600 16921.51 16760.75
IT 19900 20285.42 20092.71
IT 300 300 300
IT 1100 1100 1100
IT 15200 15494.39 15347.2
IT 3400 3465.85 3432.93
IT 3163.27 3444.44 3303.85
IT 20700 21100.92 20900.46
IT 12000 12232.42 12116.21
IT 15500 15800.2 15650.1
IT 13200 13455.66 13327.83
IT 27400 27930.68 27665.34
IT 24100 24566.77 24333.38
IT 33300 33944.95 33622.48
IT 18300 18654.43 18477.22
IT 15200 15494.39 15347.2
IT 10700 10907.24 10803.62
IT 16300 16615.7 16457.85
IT 8300 8460.75 8380.38
IT 9500 9684 9592
IT 14900 15188.58 15044.29
IT 14300 14576.96 14438.48
IT 4600 4689.09 4644.55
IT 800 800 800
IT 3000 3000 3000
IT 32000 32619.78 32309.89
IT 31700 32313.97 32006.98
IT 34800 35474.01 35137
IT 13800 14067.28 13933.64
IT 12400 12640.16 12520.08
IT 38700 39449.54 39074.77
IT 4600 4689.09 4644.55
IT 363413 370451.58 366932.29
IT 87300 88990.83 88145.41
IT 31600 32212.03 31906.01
IT 76000 77471.97 76735.98
IT 8600 8766.56 8683.28
IT 4500 4587.16 4543.58
IT 17300 17635.07 17467.53
IT 53600 54638.12 54119.06
IT 48700 49643.22 49171.61
IT 64300 65545.36 64922.68
IT 16700 17023.45 16861.72
IT 7600 7747.2 7673.6
IT 10300 10499.49 10399.75
IT 8100 8100 8100
IT 15400 15400 15400
IT 21200 21610.6 21405.3
IT 15300 15300 15300
IT 13000 13000 13000
IT 3200 3200 3200
IT 200 200 200
IT 3500 3567.79 3533.89
IT 8400 8562.69 8481.35
IT 300 305.81 302.91
IT 6700 6829.77 6764.88
IT 2100 2140.67 2120.34
IT 24000 24464.83 24232.42
IT 78100 79612.64 78856.32
IT 26800 27319.06 27059.53
IT 48900 49847.09 49373.55
IT 35600 36289.5 35944.75
IT 22400 22833.84 22616.92
IT 72600 74006.12 73303.06
IT 2200 2200 2200
IT 2900 2956.17 2928.08
IT N/A N/A N/A
IT 54500 55555.56 55027.78
IT N/A N/A N/A
IT 487116 496550.46 491833.23
IT 31300 31906.22 31603.11
IT 22800 23241.59 23020.8
IT 22300 22731.91 22515.95
IT 359852 366821.61 363336.81
IT 10204.08 500000 255102.04
IT 3932.58 7000 5466.29
IT 9700 9700 9700
IT 6300 6300 6300
IT 82502 84099.9 83300.95

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
IT 410 1038 653 i estimate N/A N/A N/A N/A
IT 5000 20000 N/A i minimum N/A N/A N/A N/A
IT 5000 20000 N/A i minimum N/A N/A N/A N/A
IT 5000 20000 N/A i minimum N/A N/A N/A N/A
IT N/A N/A 200 i estimate N/A N/A N/A N/A
IT N/A N/A 300 i estimate N/A N/A N/A N/A
IT N/A N/A 1583 i estimate N/A N/A N/A N/A
IT N/A N/A 851 i estimate N/A N/A N/A N/A
IT N/A N/A 1066 i estimate N/A N/A N/A N/A
IT N/A N/A 16500 i mean N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A 12832 i minimum N/A N/A 12832 grids1x1 estimate
IT 30260 140837 65282 i estimate N/A N/A N/A N/A
IT 910 910 910 i minimum N/A N/A 806 grids1x1 estimate
IT 1229 2529 1879 i estimate N/A N/A 3309 grids1x1 estimate
IT 2000 20000 N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT 110 2289 N/A i interval N/A N/A N/A N/A
IT 340 7154 N/A i interval N/A N/A N/A N/A
IT 111 2068 N/A i interval N/A N/A N/A N/A
IT 2550 11684 5459 i estimate N/A N/A N/A N/A
IT 14951 45751 26154 i estimate N/A N/A N/A N/A
IT 20000 100000 N/A i minimum N/A N/A N/A N/A
IT 10000 50000 N/A i minimum N/A N/A N/A N/A
IT 20000 100000 N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT 85392 97196 N/A i minimum N/A N/A N/A N/A
IT 223 227 225 i estimate N/A N/A N/A N/A
IT 365 371 368 i estimate N/A N/A N/A N/A
IT 2558 2571 2565 i estimate N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A 4 i estimate N/A N/A N/A N/A
IT 327312 384302 N/A i interval N/A N/A N/A N/A
IT 499752 623909 N/A i interval N/A N/A N/A N/A
IT 855825 1072272 N/A i interval N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A 29905 grids1x1 estimate
IT N/A N/A N/A i minimum N/A N/A 28575 grids1x1 estimate
IT N/A N/A N/A i minimum N/A N/A 6704 grids1x1 estimate
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT 2000 10000 6000 i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT 5000 16000 10000 i estimate N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT 1598 3717 2439 i estimate N/A N/A N/A N/A
IT 50000 200000 N/A i minimum N/A N/A N/A N/A
IT 10000 50000 N/A i minimum N/A N/A N/A N/A
IT 50000 200000 N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT 10000 100000 N/A i minimum N/A N/A N/A N/A
IT 10000 100000 N/A i minimum N/A N/A N/A N/A
IT 10000 100000 N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT N/A N/A N/A i minimum N/A N/A N/A N/A
IT 100 1000 N/A i minimum N/A N/A N/A N/A
IT 500 5000 N/A i minimum N/A N/A N/A N/A
IT 150 200 150 i estimate N/A N/A N/A N/A
IT 2000 12000 9000 i estimate N/A N/A N/A N/A
IT 1000 2000 1500 i estimate N/A N/A N/A N/A
IT 7209 35000 27500 i estimate N/A N/A N/A N/A
IT 22000 45000 33000 i estimate N/A N/A N/A N/A
IT 6000 15000 10000 i estimate N/A N/A N/A N/A
IT 10000 30000 22500 i estimate N/A N/A N/A N/A
IT 36315 84800 51647 i estimate N/A N/A N/A N/A
IT 13904 18749 16131 i estimate N/A N/A N/A N/A
IT 213993 1284812 532458 i estimate N/A N/A N/A N/A
IT 1500 3000 2500 i estimate N/A N/A N/A N/A
IT N/A N/A 3500 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 N/A N/A 135000 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 68729 169573 107956 i estimate N/A N/A N/A N/A
IT 5000 20000 N/A i minimum N/A N/A N/A N/A
IT 5000 50000 N/A i minimum N/A N/A N/A N/A
IT 2000 10000 N/A i minimum N/A N/A N/A N/A
IT 7428 15887 10863 i estimate N/A N/A N/A N/A
IT 90 120 106 i interval N/A N/A N/A N/A
IT 45 69 N/A i interval N/A N/A N/A N/A
IT 100 1000 N/A i minimum N/A N/A N/A N/A
IT 100 1000 N/A i minimum N/A N/A N/A N/A
IT 1476 6756 3157 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
IT 653 686.65 669.82
IT 12500 13144.06 12822.03
IT 12500 13144.06 12822.03
IT 12500 13144.06 12822.03
IT 408.16 20000 10204.08
IT 612.24 30000 15306.12
IT 1583 1664.56 1623.78
IT 851 894.85 872.92
IT 1066 1120.93 1093.46
IT 16500 17350.16 16925.08
IT 30000 31545.74 30772.87
IT 12832 13493.17 13162.58
IT 65282 68645.64 66963.82
IT 910 956.89 933.44
IT 1879 1975.81 1927.41
IT 11000 11000 11000
IT 30000 31545.74 30772.87
IT 30000 31545.74 30772.87
IT 7500 7886.44 7693.22
IT 1262.63 1599.33 1430.98
IT 3747 3940.06 3843.53
IT 1146.84 1452.67 1299.75
IT 5459 5740.27 5599.64
IT 26154 27501.58 26827.79
IT 60000 63091.48 61545.74
IT 30000 31545.74 30772.87
IT 60000 63091.48 61545.74
IT 3000 3154.57 3077.29
IT 300000 315457.41 307728.71
IT 30000 31545.74 30772.87
IT 91294 91294 91294
IT 459.18 22500 11479.59
IT 751.02 36800 18775.51
IT 2700 3420 3060
IT 7500 7886.44 7693.22
IT 3000 3154.57 3077.29
IT 7500 7886.44 7693.22
IT 75000 78864.35 76932.18
IT 3000 3000 3000
IT 300000 315457.41 307728.71
IT 8.16 400 204.08
IT 355807 374139.85 364973.43
IT 561830.5 590778.65 576304.58
IT 964048.5 1013720.82 988884.66
IT 7500 7886.44 7693.22
IT 7500 7886.44 7693.22
IT 3000 3000 3000
IT 75 75 75
IT 75 75 75
IT 7500 7500 7500
IT 7500 7500 7500
IT 7500 7500 7500
IT 6315.79 8000 7157.89
IT 7500 7886.44 7693.22
IT 7500 7886.44 7693.22
IT 300 300 300
IT 300 300 300
IT 30000 30000 30000
IT 750 750 750
IT 3000 3000 3000
IT 30000 31545.74 30772.87
IT 7500 7886.44 7693.22
IT 7500 7886.44 7693.22
IT 30000 31545.74 30772.87
IT 75000 78864.35 76932.18
IT 75000 78864.35 76932.18
IT 30000 30000 30000
IT 7500 7500 7500
IT 7500 7886.44 7693.22
IT 7500 7886.44 7693.22
IT 7500 7886.44 7693.22
IT 7500 7886.44 7693.22
IT 7500 7886.44 7693.22
IT 7500 7886.44 7693.22
IT 7500 7886.44 7693.22
IT N/A N/A N/A
IT 25 25 25
IT 25 25 25
IT 7500 7886.44 7693.22
IT 7500 7886.44 7693.22
IT 7500 7886.44 7693.22
IT 3000 3154.57 3077.29
IT 3000 3000 3000
IT 3000 3154.57 3077.29
IT 7500 7886.44 7693.22
IT 2439 2564.67 2501.83
IT 125000 131440.59 128220.29
IT 30000 31545.74 30772.87
IT 125000 131440.59 128220.29
IT 3000 3000 3000
IT 3000 3000 3000
IT 3000 3000 3000
IT 55000 57833.86 56416.93
IT 55000 57833.86 56416.93
IT 55000 57833.86 56416.93
IT 3000 3000 3000
IT 3000 3000 3000
IT 3000 3000 3000
IT 3000 3000 3000
IT 3000 3000 3000
IT 7500 7886.44 7693.22
IT 3000 3000 3000
IT 3000 3000 3000
IT 300 300 300
IT 25 25 25
IT 550 550 550
IT 2750 2750 2750
IT 306.12 15000 7653.06
IT 9000 9463.72 9231.86
IT 1500 1577.29 1538.64
IT 27500 28916.93 28208.46
IT 33000 34700.32 33850.16
IT 10000 10515.25 10257.62
IT 22500 23659.31 23079.65
IT 51647 54308.1 52977.55
IT 16131 16962.15 16546.57
IT 532458 559892.74 546175.37
IT 2500 2500 2500
IT 3500 3680.34 3590.17
IT N/A N/A N/A
IT 135000 141955.84 138477.92
IT N/A N/A N/A
IT 107956 113518.4 110737.2
IT 12500 13144.06 12822.03
IT 27500 28916.93 28208.46
IT 6000 6309.15 6154.57
IT 10863 11422.71 11142.86
IT 216.33 10600 5408.16
IT 116.33 5700 2908.16
IT 550 550 550
IT 550 550 550
IT 3157 3319.66 3238.33

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
Balaenoptera physalus MMED 466358 68.46 S predefined aeq 410 1038 653 i N/A estimate completeSurvey 29.64 S predefined aeq i yes Yes FV S good good good FV FV S FV Unk noChange knowledge 9800 completeSurvey 4.76
Barbastella barbastellus ALP 20400 11.55 S predefined aeq 5000 20000 N/A i N/A minimum estimateExpert 11.52 S predefined aeq i yes Yes FV S good unk good FV FV S U1 S genuine noChange 17200 estimatePartial 13.89
Barbastella barbastellus CON 15900 1.76 S predefined aeq 5000 20000 N/A i N/A minimum estimateExpert 6.32 S predefined aeq i yes Yes FV S good unk good FV FV S U1 D genuine genuine 13200 estimatePartial 2.87
Barbastella barbastellus MED 14800 5.22 S predefined aeq 5000 20000 N/A i N/A minimum estimateExpert 40.24 S predefined aeq i yes Yes FV S good unk good FV FV S U1 D genuine genuine 12600 estimatePartial 6.72
Canis aureus CON 10900 5.18 I predefined 51-100 N/A N/A 200 i N/A estimate estimatePartial 0.34 I above100 predefined 51-100 i no Yes yes U1 S good good good FV U2 I FV I knowledge noChange 7100 estimatePartial 3.16
Canis aureus ALP 17800 53.29 I predefined 51-100 N/A N/A 300 i N/A estimate estimatePartial 9.52 I above100 predefined 51-100 i no Yes yes U1 S good good good FV U2 I FV I knowledge noChange 7700 estimatePartial 22.58
Canis lupus MED 114800 34.64 I predefined aeq N/A N/A 1583 i N/A estimate completeSurvey 30.94 I 0 | 12 predefined aeq i yes Yes FV I good unk good FV FV I FV I noChange noChange 106600 completeSurvey 40.27
Canis lupus ALP 61800 28.51 I predefined aeq N/A N/A 851 i N/A estimate completeSurvey 18.51 I 51 | 100 predefined aeq i yes Yes FV I good unk good FV FV I FV I noChange noChange 53500 completeSurvey 24.45
Canis lupus CON 77400 11.71 I predefined aeq N/A N/A 1066 i N/A estimate completeSurvey 19.01 I 26 | 50 predefined aeq i yes Yes FV I good unk good FV FV I FV I noChange noChange 63500 completeSurvey 12.82
Capra ibex ALP 28500 51.12 S predefined aeq N/A N/A 16500 i N/A mean completeSurvey 43.22 S predefined aeq i yes Yes FV S poor poor good U1 U1 S U1 S noChange noChange 26400 estimatePartial 38.94
Cervus elaphus corsicanus MED 5100 86.56 I predefined aeq N/A N/A N/A i 7 minimum estimatePartial 90.91 I 0 | 12 predefined aeq i yes Yes FV S good good good FV FV I FV I noChange noChange 4000 estimatePartial 58.82
Crocidura sicula MED 16400 99.49 S predefined aeq N/A N/A 12832 i N/A minimum estimatePartial 81.05 Unk x predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 16400 estimatePartial 98.80
Delphinus delphis MMED 32555 23.10 S predefined aeq 30260 140837 65282 i N/A estimate completeSurvey 62.43 U x predefined aeq i yes Yes FV S good unk good FV FV S XX knowledge knowledge 2500 completeSurvey 1.63
Dryomys nitedula MED 1300 1.18 S predefined 2-10 910 910 910 i N/A minimum estimateExpert 0.12 Unk x predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 1300 estimatePartial 1.51
Dryomys nitedula ALP 5400 13.96 S predefined 2-10 1229 2529 1879 i N/A estimate estimateExpert 0.56 Unk x predefined aeq i yes Yes FV Unk good good good FV FV Unk FV S noChange method 5400 estimatePartial 29.35
Eptesicus nilssonii ALP 19100 17.97 S predefined aeq 2000 20000 N/A i N/A minimum estimateExpert 33.23 S x i yes Yes FV S good good good FV FV S U1 S knowledge noChange 12200 estimatePartial 16.83
Eptesicus serotinus CON 53000 4.98 I predefined aeq N/A N/A N/A i 7 minimum estimateExpert 4.90 S predefined aeq i yes Yes FV S good good good FV FV I FV S noChange knowledge 40800 estimatePartial 7.45
Eptesicus serotinus MED 30800 5.96 I predefined aeq N/A N/A N/A i 7 minimum estimateExpert 39.60 S predefined aeq i yes Yes FV S good good good FV FV I FV S noChange knowledge 26400 estimatePartial 7.20
Eptesicus serotinus ALP 20400 12.60 I predefined aeq N/A N/A N/A i 6 minimum estimateExpert 8.20 S predefined aeq i yes Yes FV S good good good FV FV I FV S noChange knowledge 16900 estimatePartial 14.98
Felis silvestris ALP 12300 9.41 I predefined aeq 110 2289 N/A i N/A interval estimatePartial 8.66 I 0 | 12 predefined 5-25 i yes Yes FV S good good good FV FV I FV I noChange noChange 8900 estimatePartial 6.55
Felis silvestris MED 58300 10.45 S predefined aeq 340 7154 N/A i N/A interval estimatePartial 6.25 S predefined aeq i yes Yes FV S unk unk good XX FV S FV I noChange method 35800 estimatePartial 10.64
Felis silvestris CON 17300 3.30 I predefined aeq 111 2068 N/A i N/A interval estimatePartial 1.98 I 0 | 12 predefined 5-25 i yes Yes FV S good good good FV FV I FV I noChange noChange 12600 estimatePartial 2.72
Globicephala melas MMED 27765 17.45 U predefined aeq 2550 11684 5459 i N/A estimate completeSurvey 61.15 U x predefined aeq i yes Yes FV S good unk good FV FV Unk XX knowledge noChange 1800 completeSurvey 1.35
Grampus griseus MMED 189086 24.12 U predefined aeq 14951 45751 26154 i N/A estimate completeSurvey 65.48 U x predefined aeq i yes Yes FV S good unk good FV FV Unk XX knowledge noChange 7900 completeSurvey 2.40
Hypsugo savii MED 72000 16.28 S predefined aeq 20000 100000 N/A i N/A minimum estimateExpert 54.46 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 56900 estimatePartial 14.53
Hypsugo savii ALP 38400 30.65 S predefined aeq 10000 50000 N/A i N/A minimum estimateExpert 68.04 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 31900 estimatePartial 38.11
Hypsugo savii CON 70800 29.51 S predefined aeq 20000 100000 N/A i N/A minimum estimateExpert 38.87 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 56600 estimatePartial 41.96
Hystrix cristata ALP 9700 0 I predefined aeq N/A N/A N/A i 5 minimum estimatePartial 0 I 13 | 25 predefined aeq i yes Yes FV S good good good FV FV I FV S noChange genuine 9300 estimatePartial 0
Hystrix cristata MED 116100 100 I predefined aeq N/A N/A N/A i 9 minimum estimatePartial 100 I 0 | 12 predefined aeq i yes Yes FV S good good good FV FV I FV I noChange noChange 106000 estimatePartial 100
Hystrix cristata CON 68000 100 S predefined aeq N/A N/A N/A i 7 minimum estimatePartial 100 S predefined aeq i yes Yes FV S good good good FV FV S FV I noChange genuine 60900 estimatePartial 100
Lepus timidus ALP 47300 23.95 S predefined aeq 85392 97196 N/A i N/A minimum estimatePartial 28.06 Unk x x i yes Yes FV S good poor good U1 U1 S U1 D noChange method 47000 estimatePartial 39.70
Lutra lutra ALP 11000 0 I predefined 51-100 223 227 225 i N/A estimate estimatePartial 0 I above100 predefined 51-100 i no Yes yes U1 S good good good FV U2 I U2 I noChange noChange 5600 estimatePartial 0
Lutra lutra CON 10600 0 I predefined 51-100 365 371 368 i N/A estimate estimatePartial 0 I above100 predefined 51-100 i no Yes yes U1 S good good good FV U2 I N/A noChange noChange 6600 estimatePartial 0
Lutra lutra MED 53300 7.72 I predefined aeq 2558 2571 2565 i N/A estimate estimatePartial 35.92 I 13 | 25 predefined 5-25 i yes Yes FV S good good good FV U1 I FV I method noChange 38800 estimatePartial 7.87
Martes martes MED 107100 54.29 I predefined aeq N/A N/A N/A i 6 minimum estimatePartial 22.66 I 0 | 12 predefined aeq i yes Yes FV S good good good FV FV I FV S noChange knowledge 65800 estimatePartial 47.75
Martes martes CON 55600 5.17 I predefined aeq N/A N/A N/A i 5 minimum estimatePartial 2.50 I 13 | 25 predefined aeq i yes Yes FV S good good good FV FV I FV S noChange genuine 33500 estimatePartial 4.37
Martes martes ALP 52700 20.59 I predefined aeq N/A N/A N/A i 6 minimum estimatePartial 14.49 S predefined aeq i yes Yes FV S good good good FV FV I FV I noChange noChange 40900 estimatePartial 24.89
Miniopterus schreibersii CON 24800 9.96 S predefined aeq N/A N/A N/A i 8 minimum estimateExpert 25.32 S predefined aeq i yes Yes FV S good good good FV FV S U1 S knowledge noChange 14500 estimatePartial 13.25
Miniopterus schreibersii ALP 9200 9.08 S x N/A N/A N/A i 5 minimum estimateExpert 2.68 Unk x x i unknown Unknown unknown XX Unk unk unk poor U1 U1 Unk U1 D noChange method 5300 estimatePartial 10.62
Miniopterus schreibersii MED 60600 10.58 S predefined aeq N/A N/A N/A i 9 minimum estimateExpert 36.52 S predefined aeq i yes Yes FV S good good good FV FV S U1 D knowledge knowledge 35300 estimatePartial 8.68
Monachus monachus MMED 21800 5.66 I predefined 51-100 N/A N/A 4 i N/A estimate estimateExpert 0.71 S predefined 51-100 i no No unknown U2 I poor bad bad U2 U2 I U2 Unk noChange genuine 4000 estimatePartial 4.80
Muscardinus avellanarius CON 46300 9.78 S predefined aeq 327312 384302 N/A i N/A interval completeSurvey 14.07 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 46700 estimatePartial 15.74
Muscardinus avellanarius ALP 29800 28.53 S predefined aeq 499752 623909 N/A i N/A interval completeSurvey 39.07 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 30400 estimatePartial 41.03
Muscardinus avellanarius MED 49300 31.18 S predefined aeq 855825 1072272 N/A i N/A interval completeSurvey 71.99 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 49600 estimatePartial 39.06
Mustela putorius CON 62900 6.16 S predefined aeq N/A N/A N/A i 6 minimum estimatePartial 9.98 Unk x predefined aeq i yes Yes FV S good unk good FV FV S FV S noChange noChange 36600 estimatePartial 5.74
Mustela putorius MED 64000 12.84 S predefined aeq N/A N/A N/A i 6 minimum estimatePartial 16.30 Unk x predefined aeq i yes Yes FV S good unk good FV FV S FV S noChange noChange 35600 estimatePartial 15.12
Mustela putorius ALP 18800 14.48 U predefined aeq N/A N/A N/A i 5 minimum estimatePartial 22.83 Unk x x i unknown Unknown unknown XX Unk good unk good FV XX Unk FV S other other 10800 estimatePartial 14.61
Myotis alcathoe ALP 500 1.81 S x N/A N/A N/A i 2 minimum estimateExpert 0.24 Unk x x i yes Yes FV S unk unk good XX XX S U1 Unk method knowledge 500 estimatePartial 3.07
Myotis alcathoe MED 1000 1.27 S x N/A N/A N/A i 2 minimum estimateExpert 0.23 Unk x x i yes Yes FV S unk unk good XX XX S U1 Unk method knowledge 1000 estimatePartial 1.41
Myotis bechsteinii ALP 5700 7.55 S x N/A N/A N/A i 6 minimum estimateExpert 10.09 S x i yes Yes FV S unk unk poor XX U1 S U2 D knowledge knowledge 5200 estimatePartial 10.92
Myotis bechsteinii MED 6200 4.25 S x N/A N/A N/A i 6 minimum estimateExpert 18.03 S x i yes Yes FV S unk unk poor XX U1 S U2 D knowledge knowledge 5800 estimatePartial 5.07
Myotis bechsteinii CON 8600 1.65 S x N/A N/A N/A i 6 minimum estimateExpert 0.23 S x i yes Yes FV S unk unk poor XX U1 S U2 I knowledge knowledge 7700 estimatePartial 2.72
Myotis blythii ALP 10200 10.59 D predefined aeq 2000 10000 6000 i N/A minimum estimateExpert 13.31 D -12 | 0 predefined 5-25 i unknown No U1 D poor poor poor U1 U1 D U1 D noChange noChange 8300 estimatePartial 15.87
Myotis blythii CON 16600 11.78 D predefined aeq N/A N/A N/A i 6 minimum estimateExpert 16.24 S predefined aeq i unknown No U1 D good poor poor U1 U1 D U1 D noChange noChange 14200 estimatePartial 21.98
Myotis blythii MED 19900 4.80 D predefined aeq N/A N/A N/A i 6 minimum estimateExpert 7.40 S predefined aeq i unknown No U1 D good poor poor U1 U1 D U1 D noChange noChange 16200 estimatePartial 5.26
Myotis brandtii MED 300 1.25 I x N/A N/A N/A i 3 minimum estimateExpert 50 Unk x x i yes Yes FV S unk unk good XX XX S XX noChange knowledge 600 estimatePartial 2.91
Myotis brandtii ALP 1100 1.73 I x N/A N/A N/A i 3 minimum estimateExpert 2.37 Unk x x i yes Yes FV S unk unk good XX XX S XX noChange knowledge 1200 estimatePartial 3.10
Myotis capaccinii MED 15200 6.74 S predefined aeq N/A N/A N/A i 7 minimum estimateExpert 45.07 D x x i yes Unknown U2 D good poor bad U2 U2 D U2 D noChange noChange 13800 estimatePartial 7.55
Myotis capaccinii CON 3400 3.14 S predefined aeq N/A N/A N/A i 4 minimum estimateExpert 3.93 D x x i no Unknown no U2 D poor bad bad U2 U2 D U2 D noChange noChange 3100 estimatePartial 12.97
Myotis capaccinii ALP 3100 6.61 S predefined 2-10 N/A N/A N/A i 5 minimum estimateExpert 17.52 D x x i no Unknown no U2 D poor bad bad U2 U2 D U2 D noChange noChange 2800 estimatePartial 15.14
Myotis daubentonii CON 20700 2.35 S predefined aeq N/A N/A N/A i 7 minimum estimateExpert 0.90 S predefined aeq i yes Yes FV S good good poor U1 U1 S U1 D noChange knowledge 20800 estimatePartial 3.64
Myotis daubentonii MED 12000 3.34 S predefined aeq N/A N/A N/A i 6 minimum estimateExpert 0.97 S predefined aeq i yes Yes FV S good good poor U1 U1 S U1 D noChange knowledge 12200 estimatePartial 5.82
Myotis daubentonii ALP 15500 11.63 S predefined aeq N/A N/A N/A i 6 minimum estimateExpert 2.06 S predefined aeq i yes Yes FV S good good poor U1 U1 S U1 D noChange knowledge 15700 estimatePartial 13.27
Myotis emarginatus ALP 13200 9.46 S predefined aeq N/A N/A N/A i 7 minimum estimateExpert 49.47 S predefined aeq i yes Yes FV S good good good FV FV S U1 S genuine noChange 11600 estimatePartial 13.11
Myotis emarginatus CON 27400 6.04 S predefined aeq N/A N/A N/A i 8 minimum estimateExpert 41.30 S predefined aeq i yes Yes FV S good good good FV FV S U1 S genuine noChange 20900 estimatePartial 9.06
Myotis emarginatus MED 24100 6.73 S predefined aeq N/A N/A N/A i 8 minimum estimateExpert 49.86 S predefined aeq i yes Yes FV S good good good FV FV S U1 S genuine noChange 20500 estimatePartial 6.68
Myotis myotis MED 33300 6.72 S predefined aeq N/A N/A N/A i 7 minimum estimateExpert 19.46 S x i unknown Yes U1 S good poor poor U1 U1 S U1 D noChange method 26800 estimatePartial 9.73
Myotis myotis CON 18300 1.91 S predefined aeq N/A N/A N/A i 6 minimum estimateExpert 0.75 D x x i unknown Yes U1 D poor poor poor U1 U1 D U1 D noChange noChange 16400 estimatePartial 2.88
Myotis myotis ALP 15200 8.29 S predefined aeq N/A N/A N/A i 6 minimum estimateExpert 4.69 S predefined aeq i unknown Yes FV S good poor poor U1 U1 S U1 D noChange method 12600 estimatePartial 9.93
Myotis mystacinus CON 10700 1.76 S predefined aeq N/A N/A N/A i 6 minimum estimateExpert 2.99 S predefined aeq i yes Yes FV S good good good FV FV S FV I noChange genuine 8900 estimatePartial 2.62
Myotis mystacinus ALP 16300 12.28 S predefined aeq N/A N/A N/A i 6 minimum estimateExpert 9.06 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 14100 estimatePartial 14.23
Myotis mystacinus MED 8300 14.49 S predefined aeq N/A N/A N/A i 6 minimum estimateExpert 87.72 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 6900 estimatePartial 16.83
Myotis nattereri/Myotis crypticus complex MED 9500 25.13 S predefined aeq N/A N/A N/A i 6 minimum estimateExpert 93.40 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 8400 estimatePartial 26.01
Myotis nattereri/Myotis crypticus complex ALP 14900 31.04 S predefined aeq N/A N/A N/A i 6 minimum estimateExpert 19.81 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 13000 estimatePartial 39.63
Myotis nattereri/Myotis crypticus complex CON 14300 7.97 S predefined aeq N/A N/A N/A i 6 minimum estimateExpert 2.44 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 12000 estimatePartial 9.22
Myotis punicus MED 4600 41.29 S predefined aeq 5000 16000 10000 i N/A estimate estimatePartial 75.19 I 0 | 12 predefined aeq adults yes Yes no FV S good good good FV FV I U1 S method noChange 3900 estimatePartial 48.15
Nyctalus lasiopterus MED 800 0.43 I x N/A N/A N/A i 1 minimum absentData 0.57 Unk x x i unknown Unknown unknown XX Unk unk unk good XX U1 Unk U1 S noChange method 800 estimatePartial 0.60
Nyctalus lasiopterus CON 3000 3.13 I x N/A N/A N/A i 1 minimum absentData 1.77 Unk x x i unknown Unknown unknown XX Unk good unk good XX U1 Unk U1 S noChange method 2400 estimatePartial 7.21
Nyctalus leisleri ALP 32000 20.55 I predefined aeq N/A N/A N/A i 6 minimum estimateExpert 15.51 S predefined aeq i yes Yes FV S good good good FV FV I U1 S knowledge knowledge 18700 estimatePartial 17.53
Nyctalus leisleri MED 31700 7.49 I predefined aeq N/A N/A N/A i 6 minimum estimateExpert 9.54 S predefined aeq i yes Yes FV S good good good FV FV I U1 D knowledge knowledge 18500 estimatePartial 5.33
Nyctalus leisleri CON 34800 4.73 I predefined aeq N/A N/A N/A i 6 minimum estimateExpert 3.25 S predefined aeq i yes Yes FV S good good good FV FV I U1 D knowledge knowledge 19000 estimatePartial 4.98
Nyctalus noctula ALP 13800 9.56 I predefined aeq N/A N/A N/A i 5 minimum estimateExpert 0.48 S predefined aeq i yes Yes XX Unk good unk good FV FV S FV S noChange noChange 8000 estimatePartial 8.97
Nyctalus noctula MED 12400 6.16 I predefined aeq N/A N/A N/A i 5 minimum estimateExpert 21.08 S x i yes Yes XX Unk good unk unk XX XX S XX noChange method 7500 estimatePartial 4.58
Nyctalus noctula CON 38700 2 I predefined aeq N/A N/A N/A i 5 minimum estimateExpert 0.24 S predefined aeq i yes Yes XX Unk good unk unk FV FV S FV S noChange noChange 18300 estimatePartial 3.52
Ovis aries musimon MED 4600 70.77 S predefined aeq N/A N/A N/A i 6 minimum estimateExpert 85.71 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 4400 estimatePartial 69.84
Physeter macrocephalus MMED 363413 43.82 S predefined aeq 1598 3717 2439 i N/A estimate completeSurvey 60.09 S predefined aeq i yes Yes FV S good good good FV FV S XX knowledge knowledge 12000 completeSurvey 6.03
Pipistrellus kuhlii MED 87300 15.41 S predefined aeq 50000 200000 N/A i N/A minimum estimateExpert 12.92 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 71100 estimatePartial 15.35
Pipistrellus kuhlii ALP 31600 31.41 S predefined aeq 10000 50000 N/A i N/A minimum estimateExpert 17.89 S predefined aeq i yes Yes FV S good good good FV FV S FV I noChange knowledge 25700 estimatePartial 35.01
Pipistrellus kuhlii CON 76000 20.21 S predefined aeq 50000 200000 N/A i N/A minimum estimateExpert 12.73 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 62700 estimatePartial 26.21
Pipistrellus nathusii ALP 8600 9.37 I predefined aeq N/A N/A N/A i 5 minimum estimateExpert 2.08 Unk x x i yes Yes FV S good unk poor U1 U1 S U1 S noChange noChange 7800 estimatePartial 13.66
Pipistrellus nathusii MED 4500 2.47 I predefined aeq N/A N/A N/A i 5 minimum estimateExpert 8.30 Unk x x i yes Yes FV S good unk poor U1 U1 S U1 S noChange noChange 4600 estimatePartial 2.64
Pipistrellus nathusii CON 17300 1.98 I predefined aeq N/A N/A N/A i 5 minimum estimateExpert 0.43 Unk x x i yes Yes FV S good unk poor U1 U1 S U1 S noChange noChange 14700 estimatePartial 3.78
Pipistrellus pipistrellus CON 53600 5.69 S predefined aeq 10000 100000 N/A i N/A minimum estimateExpert 0.78 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 42800 estimatePartial 6.89
Pipistrellus pipistrellus ALP 48700 22.12 S predefined aeq 10000 100000 N/A i N/A minimum estimateExpert 3.18 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 39100 estimatePartial 23.29
Pipistrellus pipistrellus MED 64300 9.59 S predefined aeq 10000 100000 N/A i N/A minimum estimateExpert 6.44 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 51100 estimatePartial 9.58
Pipistrellus pygmaeus MED 16700 2.89 I predefined aeq N/A N/A N/A i 5 minimum estimateExpert 0.38 Unk x x i yes Yes U1 D good unk poor U1 U1 D U1 D noChange noChange 15200 estimatePartial 3.48
Pipistrellus pygmaeus CON 7600 1.10 I predefined aeq N/A N/A N/A i 5 minimum estimateExpert 0.13 Unk x x i yes Yes U1 D good unk poor U1 U1 D U1 D noChange noChange 6600 estimatePartial 2.16
Pipistrellus pygmaeus ALP 10300 10.57 I predefined aeq N/A N/A N/A i 5 minimum estimateExpert 3.68 Unk x x i yes Yes U1 D good unk poor U1 U1 D U1 D noChange noChange 8400 estimatePartial 13.31
Plecotus auritus MED 8100 4.82 S x N/A N/A N/A i 5 minimum estimateExpert 25.97 Unk x x i yes Unknown XX Unk good poor poor U1 U1 Unk U1 D noChange knowledge 8200 estimatePartial 8.52
Plecotus auritus CON 15400 2.21 S x N/A N/A N/A i 5 minimum estimateExpert 0.32 S x i yes Unknown XX Unk good poor poor U1 U1 S U1 D noChange knowledge 13400 estimatePartial 2.85
Plecotus auritus ALP 21200 14.99 S predefined aeq N/A N/A N/A i 6 minimum estimateExpert 4.72 S predefined aeq i yes Yes FV S good good good FV FV S U1 D knowledge knowledge 16700 estimatePartial 14.80
Plecotus austriacus CON 15300 2.49 Unk x N/A N/A N/A i 5 minimum estimateExpert 0.76 Unk x x i yes Unknown U1 Unk good poor poor U1 U1 Unk U1 D noChange method 13000 estimatePartial 4.79
Plecotus austriacus MED 13000 3.36 Unk x N/A N/A N/A i 5 minimum estimateExpert 7.27 D x x i yes Unknown U1 Unk good poor poor U1 U1 Unk U1 D noChange method 12000 estimatePartial 5.66
Plecotus austriacus ALP 3200 4.26 Unk x N/A N/A N/A i 3 minimum estimateExpert 0.60 Unk x x i yes Unknown U1 Unk good poor poor U1 U1 Unk U1 D noChange method 3000 estimatePartial 7.14
Plecotus gaisleri MED 200 50.25 Unk x N/A N/A N/A i 1 minimum absentData 7.14 Unk x x i unknown Unknown XX Unk unk unk poor XX XX Unk N/A First time reported First time reported 200 estimatePartial 22.22
Plecotus macrobullaris CON 3500 15.84 S predefined aeq 100 1000 N/A i N/A minimum estimateExpert 89.43 Unk x x i yes Yes FV S good unk poor U1 U1 S U1 S noChange noChange 3100 estimatePartial 35.63
Plecotus macrobullaris ALP 8400 20.44 S predefined aeq 500 5000 N/A i N/A minimum estimateExpert 42.03 Unk x x i yes Yes FV S good unk poor U1 U1 S U1 I noChange knowledge 6900 estimatePartial 25.65
Plecotus sardus MED 300 100 D predefined aeq 150 200 150 i N/A estimate completeSurvey 100 D -0.8 | -0.8 predefined 51-100 i no Unknown unknown U1 D poor bad bad U2 U2 D U1 D genuine noChange 300 estimatePartial 100
Rhinolophus euryale CON 6700 5.25 S predefined aeq 2000 12000 9000 i N/A estimate estimateExpert 18.90 S predefined aeq i yes Yes FV S good good good FV FV S U2 D knowledge knowledge 5900 estimatePartial 13.47
Rhinolophus euryale ALP 2100 3.72 S predefined aeq 1000 2000 1500 i N/A estimate estimatePartial 4.66 I x predefined aeq i yes Yes FV I good good good FV FV I U2 D knowledge knowledge 1700 estimatePartial 6.91
Rhinolophus euryale MED 24000 7.12 S predefined aeq 7209 35000 27500 i N/A estimate estimatePartial 36.64 S predefined aeq i yes Yes FV S good good good FV FV S U2 D knowledge knowledge 20400 estimatePartial 8.45
Rhinolophus ferrumequinum MED 78100 12.16 S predefined aeq 22000 45000 33000 i N/A estimate estimateExpert 24.98 S predefined aeq i yes Unknown XX S good good good FV FV S U1 D method method 61300 estimatePartial 13.48
Rhinolophus ferrumequinum ALP 26800 19.43 D predefined aeq 6000 15000 10000 i N/A estimate estimateExpert 23.58 S predefined aeq i yes Unknown FV S good good good FV FV D U1 D method noChange 21800 estimatePartial 23.77
Rhinolophus ferrumequinum CON 48900 12.21 S predefined aeq 10000 30000 22500 i N/A estimate estimateExpert 24.78 S predefined aeq i yes Unknown XX S good good good FV FV S U1 D method method 38200 estimatePartial 16.54
Rhinolophus hipposideros CON 35600 8.47 S predefined aeq 36315 84800 51647 i N/A estimate estimatePartial 33.20 S x predefined aeq i yes Yes FV S good good good FV FV S U1 D method method 29500 estimatePartial 10.69
Rhinolophus hipposideros ALP 22400 11.56 S predefined aeq 13904 18749 16131 i N/A estimate estimatePartial 17.06 S predefined aeq i yes Yes FV S good good good FV FV S U1 D method method 19200 estimatePartial 12.93
Rhinolophus hipposideros MED 72600 12.17 S predefined aeq 213993 1284812 532458 i N/A estimate estimatePartial 89.73 I x predefined aeq i yes Yes FV S good good good FV FV I U1 D method method 56500 estimatePartial 12.71
Rhinolophus mehelyi MED 2200 2.29 D x 1500 3000 2500 i N/A estimate estimatePartial 14.04 D -25 | -13 x i no No no U2 Unk poor poor poor U1 U2 D U1 D genuine noChange 2100 estimatePartial 2.49
Rupicapra pyrenaica ornata ALP 2900 100 S predefined aeq N/A N/A 3500 i N/A minimum completeSurvey 100 I 26 | 50 predefined aeq i yes Yes FV U good good good FV FV S FV I noChange method 2800 estimatePartial 100
Rupicapra rupicapra MED N/A 0 N/A N/A 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 1400 estimatePartial 0
Rupicapra rupicapra ALP 54500 36.07 S predefined aeq N/A N/A 135000 i N/A minimum estimatePartial 43.64 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 54400 estimatePartial 31.57
Rupicapra rupicapra CON N/A 0 N/A N/A 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 5700 estimatePartial 0
Stenella coeruleoalba MMED 487116 41.64 S predefined aeq 68729 169573 107956 i N/A estimate completeSurvey 26.07 S predefined aeq i yes Yes FV S good good good FV FV S FV Unk noChange knowledge 68100 completeSurvey 14.18
Tadarida teniotis CON 31300 39.52 S predefined aeq 5000 20000 N/A i N/A minimum estimateExpert 79.11 S predefined aeq i yes Yes FV S good good good FV FV S FV I noChange knowledge 16800 estimatePartial 34.85
Tadarida teniotis MED 22800 4.15 S predefined aeq 5000 50000 N/A i N/A minimum estimateExpert 36.48 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 32000 estimatePartial 7.48
Tadarida teniotis ALP 22300 27.33 S predefined aeq 2000 10000 N/A i N/A minimum estimateExpert 93.97 S predefined aeq i yes Yes FV S good good good FV FV S FV S noChange noChange 12400 estimatePartial 22.59
Tursiops truncatus MMED 359852 43.10 S predefined aeq 7428 15887 10863 i N/A estimate completeSurvey 22.87 S predefined aeq i yes Yes FV S good good good FV FV S FV Unk noChange knowledge 76500 completeSurvey 12.42
Ursus arctos ALP 5000 1.94 I predefined 51-100 90 120 106 i N/A interval completeSurvey 0.86 I 26 | 50 predefined 51-100 i no Yes yes U1 S unk unk good XX U2 I U1 I other noChange 6900 estimatePartial 2.60
Ursus arctos MED 3500 4.88 I predefined 11-50 45 69 N/A i N/A interval completeSurvey 6.07 S predefined 51-100 i no Yes yes U1 S good poor good U1 U2 I U2 S noChange genuine 2400 estimatePartial 4.17
Vespertilio murinus ALP 9700 7.68 I x 100 1000 N/A i N/A minimum estimateExpert 1.54 I x x i yes Yes FV S good good good FV XX I XX noChange noChange 6500 estimatePartial 8.38
Vespertilio murinus CON 6300 0.89 I x 100 1000 N/A i N/A minimum estimateExpert 0.57 I x x i yes Yes FV S good good good FV XX I XX noChange noChange 4100 estimatePartial 2.01
Ziphius cavirostris MMED 82502 14.36 S predefined aeq 1476 6756 3157 i N/A estimate completeSurvey 27.21 U x predefined aeq i yes Yes FV S good unk good FV FV S XX knowledge knowledge 8400 completeSurvey 3.66