Article 17 web tool

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Species assessments at EU biogeographical level

The Article 17 web tool provides an access to EU biogeographical and Member States’ assessments of conservation status of the habitat types and species of Community interest compiled as part of the Habitats Directive - Article 17 reporting process. These assessments have been carried out in EU 25 for the period 2001-2006, in EU 27 for the period 2007-2012, in EU 28 for the period 2013-2018 and in EU 27 for the period 2019-2024.

Choose a period, a group, then a species belonging to that group.
Optionally, further refine your query by selecting one of the available biogeographical regions for that species.
Once a selection has been made the conservation status can be visualised in a map view.

The 'Data sheet info' includes notes for each regional and overall assessment per species.

The 'Audit trail' includes the methods used for the EU biogeographical assessments and justifications for decisions made by the assessors. Some inconsistencies may appear in the data reported by Member States. To ensure the robustness of the EU-level assessments, all assessments undergo expert review. Where inconsistencies or potential errors are identified, they are documented transparently and per species in the assessment audit trail.

Warning: The map does not show the distribution for sensitive species in AT

Note: Rows in italic shows data not taken into account when performing the assessments (marginal presence, occasional, extinct prior HD, information, etc)

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, Ursus arctos, All bioregions. Annexes N, Y, N. Show all Mammals
Member States reports
MS 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 26122.45 1280000 653061.22
BG 13900 14169.22 14034.61
ES 9200 9378.19 9289.09
FI 15700 16004.08 15852.04
FR 3638 3638 3638
HR 7970.3 8124.67 8047.48
IT 10204.08 500000 255102.04
PL 11000 11213.05 11106.52
RO 49600 50560.65 50080.33
SE 92300 92300 92300
SI 9900 10091.74 9995.87
SK 26558.3 27072.68 26815.49
ES 24500 24974.52 24737.26
EE 50300 51274.21 50787.1
FI 337300 343832.82 340566.41
LV 48559 48559 48559
SE 228000 228000 228000
BG 4300 4383.28 4341.64
CZ 4157.3 7400 5778.65
RO 71100 72477.06 71788.53
SI 10500 10703.36 10601.68
EL 49253 50206.93 49729.97
ES 14081.63 15333.33 14707.48
HR 5146.66 5246.34 5196.5
IT 3932.58 7000 5466.29
HR 2491 2539.25 2515.12

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 2 5 N/A i minimum N/A N/A N/A bfemales estimate
BG 320 400 N/A i estimate N/A N/A 1705 grids1x1 minimum
ES 31 33 N/A i N/A N/A N/A N/A
FI N/A N/A N/A i estimate N/A N/A N/A N/A
FR N/A N/A N/A i estimate 82 92 86 i estimate
HR 900 1276 N/A i estimate N/A N/A N/A N/A
IT 90 120 106 i interval N/A N/A N/A N/A
PL N/A N/A 100 i minimum N/A N/A N/A N/A
RO 6641 7460 N/A i estimate N/A N/A N/A N/A
SE 388 462 424 i interval 233 277 254 i estimate
SI 521 598 N/A i interval N/A N/A N/A N/A
SK N/A N/A 2500 i minimum 3744 3744 N/A grids1x1 estimate
ES 243 292 N/A i N/A N/A N/A N/A
EE 672 768 N/A i mean 89 96 92 bfemales mean
FI 2050 2200 N/A i estimate N/A N/A N/A N/A
LV N/A N/A 148 i estimate N/A N/A N/A N/A
SE 2199 2618 2400 i interval 1319 1571 1440 i estimate
BG 9 29 N/A i estimate N/A N/A 138 grids1x1 minimum
CZ N/A 3 N/A i interval N/A N/A N/A N/A
RO 2846 3197 N/A i estimate N/A N/A N/A N/A
SI 174 199 N/A i interval N/A N/A N/A N/A
EL 565 870 N/A i estimate N/A N/A N/A N/A
ES 55 N/A N/A i N/A N/A N/A N/A
HR 50 104 N/A i estimate N/A N/A N/A N/A
IT 45 69 N/A i interval N/A N/A N/A N/A
HR 150 253 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 7.14 350 178.57
BG 378.95 480 429.47
ES 200 200 200
FI 25 25 25
FR 75 75 75
HR 1088 1144.06 1116.03
IT 216.33 10600 5408.16
PL 100 105.15 102.58
RO 4590 4590 4590
SE 210 210 210
SI 559.5 588.33 573.91
SK 2500 2628.81 2564.41
ES 292 292 292
EE 560 560 560
FI 1400 1400 1400
LV 148 148 148
SE 1190 1190 1190
BG 20 25.33 22.67
CZ 2.03 3 2.51
RO 1370 1370 1370
SI 186.5 196.11 191.3
EL 717.5 754.47 735.98
ES 55 55 55
HR 77 80.97 78.98
IT 116.33 5700 2908.16
HR 201.5 211.88 206.69

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
AT 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
BG ALP 13900 5.40 S predefined aeq 320 400 N/A i N/A estimate completeSurvey 2.92 D -12 | 0 predefined 5-25 yes Yes unknown FV S good poor good U1 U1 D U1 D noChange noChange 15700 completeSurvey 5.93
ES ALP 9200 3.57 I predefined aeq 31 33 N/A i N/A estimatePartial 0.26 I 200 i FV S N/A N/A N/A FV U2 I U2 I noChange noChange 5400 N/A 2.04
FI ALP 15700 6.10 S predefined aeq N/A N/A N/A i 1 estimate estimatePartial 0.20 S x yes Yes FV S good unk good FV FV S FV S noChange noChange 4800 completeSurvey 1.81
FR ALP 3638 1.41 I x N/A N/A N/A i 2 estimate completeSurvey 0.61 I above100 x no Yes yes FV S good good good FV U1 I U2 I knowledge noChange 7700 estimatePartial 2.91
HR ALP 7970.30 3.09 I predefined aeq 900 1276 N/A i N/A estimate completeSurvey 8.83 S 13 | 25 predefined aeq i yes Yes yes FV S good good good FV FV I FV S knowledge knowledge 13100 estimatePartial 4.95
IT 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
PL 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
RO ALP 49600 19.26 I predefined aeq 6641 7460 N/A i N/A estimate completeSurvey 57.21 I 0 | 12 4590 i yes Yes yes FV I good good good FV FV I FV I knowledge knowledge 63500 estimatePartial 23.97
SE ALP 92300 35.84 S 92300 388 462 424 i N/A interval completeSurvey 3.44 S -21 | 20 210 i yes Yes yes FV S good good good FV FV S FV S genuine genuine 90700 completeSurvey 34.24
SI ALP 9900 3.84 S predefined aeq 521 598 N/A i N/A interval completeSurvey 4.54 I 0.23 | 0.23 predefined aeq yes Yes FV S good good good FV FV I FV I noChange noChange 10800 completeSurvey 4.08
SK ALP 26558.30 10.31 I predefined aeq N/A N/A 2500 i N/A minimum estimatePartial 20.29 I 5 | 15 predefined aeq yes Yes FV I good good good FV FV I FV I noChange noChange 30300 estimatePartial 11.44
ES ATL 24500 100 I predefined aeq 243 292 N/A i N/A completeSurvey 100 I 292 i U1 S N/A N/A N/A U1 U1 I U1 I noChange noChange 16000 N/A 100
EE BOR 50300 7.57 S predefined aeq 672 768 N/A i N/A mean completeSurvey 13.35 S 560 i yes Yes FV S good good good FV FV S FV I noChange genuine 43400 completeSurvey 7.98
FI BOR 337300 50.79 S predefined aeq 2050 2200 N/A i N/A estimate completeSurvey 39.40 I 49.5 | 49.5 1400 i yes Yes FV S good good good FV FV I FV I noChange noChange 245500 completeSurvey 45.15
LV BOR 48559 7.31 I 48559 N/A N/A 148 i 3 estimate estimatePartial 2.74 I above100 N/A unknown Unknown FV S unk good unk XX FV I U1 I knowledge noChange 30100 estimatePartial 5.54
SE BOR 228000 34.33 I 228000 2199 2618 2400 i N/A interval completeSurvey 44.50 S -21 | 20 1190 i yes Yes yes FV S good good good FV FV I FV I genuine genuine 224800 completeSurvey 41.34
BG CON 4300 4.80 S predefined aeq 9 29 N/A i N/A estimate completeSurvey 0.59 D -12 | 0 predefined 5-25 yes Yes unknown FV S good poor good U1 U1 D U1 D noChange noChange 9200 completeSurvey 9.52
CZ CON 3700 4.13 U predefined 11-50 0 3 N/A i N/A interval completeSurvey 0.05 U x predefined 26-50 yes Yes yes FV S bad bad good U2 U2 Unk U2 S genuine genuine 2400 completeSurvey 2.48
RO CON 71100 79.35 I predefined aeq 2846 3197 N/A i N/A estimate completeSurvey 93.59 I 0 | 12 1370 i yes Yes yes FV I good good good FV FV I FV S knowledge knowledge 74800 estimatePartial 77.43
SI CON 10500 11.72 S predefined aeq 174 199 N/A i N/A interval completeSurvey 5.78 I 0.23 | 0.23 predefined aeq yes Yes FV S good good good FV FV I FV I noChange noChange 10200 completeSurvey 10.56
EL MED 49253 68.69 I predefined aeq 565 870 N/A i 4 estimate estimatePartial 79.87 I x predefined aeq i yes Yes FV I good unk unk XX FV I U1 I genuine noChange 34200 completeSurvey 59.48
ES MED 13800 19.25 I predefined 2-10 55 N/A N/A i N/A completeSurvey 5.86 I 55 i FV S N/A N/A N/A U1 U1 I U1 I noChange noChange 6200 N/A 10.78
HR MED 5146.66 7.18 I predefined aeq 50 104 N/A i N/A estimate completeSurvey 8.20 S 0 | 12 predefined aeq i yes Yes yes FV S good good good FV FV I FV S knowledge knowledge 14700 estimatePartial 25.57
IT 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
HR CON 2491 N/A I predefined aeq 150 253 N/A i N/A estimate completeSurvey N/A S 0 | 12 predefined aeq i yes Yes yes FV S good good good FV FV I N/A knowledge knowledge 7300 estimatePartial N/A

Legal notice: A minimum amount of personal data (including cases of submitted comments during the public consultation) is stored in the web tool. These data are necessary for the functioning of the tool and are only accessible to tool administrators.