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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 EU25 for the period 2001-2006, in EU 27 for the period 2007-2012 and in EU28 for the period 2013-2018.

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.

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

Legend
FV
Favourable
XX
Unknown
U1
Unfavourable-Inadequate
U2
Unfavourable-Bad
Current selection: 2013-2018, Amphibians, Pelophylax lessonae, All bioregions. Annexes N, Y-CTC, N. Show all Amphibians
Member States reports
MS Region Range (km2) Population Habitat for the species Future prospects Overall assessment Distribution
area (km2)
Surface Status
(% MS)
Trend FRR
Min
Member State
code
Reporting units Alternative units
Min Max Best value Unit Type of estimate Min Max Best value Unit Type of estimate
AT N/A N/A 23 grids1x1 minimum N/A N/A N/A N/A
DE 185 185 185 grids1x1 estimate 3 3 3 grids5x5 estimate
PL N/A N/A 7 grids1x1 minimum N/A N/A N/A N/A
SI 132 138 N/A grids1x1 minimum N/A N/A N/A N/A
SK 4 4 N/A grids1x1 estimate 50 500 N/A i N/A
BE N/A N/A 197 grids1x1 estimate N/A N/A N/A N/A
DE 5443 5443 5443 grids1x1 estimate 67 71 69 grids5x5 estimate
FR 100000 100000 N/A grids1x1 estimate N/A N/A N/A estimate
NL N/A N/A 1494 grids1x1 estimate 300000 3000000 N/A i estimate
UK N/A N/A 4 grids1x1 estimate N/A N/A 60 i estimate
EE 471 800 471 grids1x1 minimum N/A N/A N/A N/A
LT 1200 1500 N/A grids1x1 minimum N/A N/A N/A N/A
LV N/A N/A 432 grids1x1 minimum N/A N/A 1072000 i minimum
SE N/A N/A 1274 grids1x1 estimate 3000 9000 5000 i estimate
AT N/A N/A 63 grids1x1 minimum N/A N/A N/A N/A
BE 138 N/A 138 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 1924 grids1x1 estimate N/A N/A N/A N/A
DE 49455 49455 49455 grids1x1 estimate 813 922 867.50 grids5x5 estimate
FR 100000 100000 N/A grids1x1 estimate N/A N/A N/A estimate
HR N/A N/A 944 grids1x1 minimum N/A N/A N/A N/A
LU 1739 N/A N/A grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 572 grids1x1 minimum N/A N/A N/A N/A
SI 692 698 N/A grids1x1 minimum N/A N/A N/A N/A
FR 100000 10000000 N/A grids1x1 estimate N/A N/A N/A estimate
CZ N/A N/A 55 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 2031 grids1x1 minimum N/A N/A N/A N/A
SK 106 106 N/A grids1x1 estimate 10000 100000 N/A i N/A
SE N/A N/A N/A grids1x1 estimate N/A N/A N/A N/A
Max
Best value Unit Type est. Method Status
(% MS)
Trend FRP Unit Occupied
suff.
Unoccupied
suff.
Status Trend Range
prosp.
Population
prosp.
Hab. for sp.
prosp.
Status Curr. CS Curr. CS
trend
Prev. CS Prev. CS
trend
Status
Nat. of ch.
CS trend
Nat. of ch.
Distrib. Method % MS
AT ALP 1300 11.74 - >> N/A N/A 23 grids1x1 minimum b 6.50 - >> Unk N U2 - bad bad bad U2 U2 - U1 - genuine noChange 1000 b 22.22
DE ALP 746 6.74 - > 185 185 185 grids1x1 estimate b 52.26 - > grids5x5 N Unk U1 - poor poor poor U1 U1 - XX knowledge knowledge 300 d 6.67
PL ALP 3000 27.09 x N/A N/A 7 grids1x1 minimum c 1.98 x Unk XX x good unk poor U1 U1 x XX noChange noChange 700 b 15.56
SI ALP 5461 49.32 = 132 138 N/A grids1x1 minimum b 38.14 x x N Unk U1 u good unk poor U1 U1 x U1 x noChange noChange 2300 b 51.11
SK ALP 565.63 5.11 - > 4 4 N/A grids1x1 estimate b 1.13 x > Y U1 - unk poor poor U1 U2 - U2 - N/A N/A 200 b 4.44
BE ATL 14600 19.31 = N/A N/A 197 grids1x1 estimate c 0.18 = Y FV = good good good FV FV = U1 x method method 4300 a 8.27
DE ATL 14099 18.65 x x 5443 5443 5443 grids1x1 estimate c 5.08 x x grids5x5 Unk XX x unk unk unk XX XX x XX noChange noChange 6900 d 13.27
FR ATL 22500 29.76 = 100000 100000 N/A grids1x1 estimate b 93.34 - < Y Unk U1 - good poor poor U1 U2 - U2 - knowledge noChange 19700 b 37.88
NL ATL 24300 32.14 = N/A N/A 1494 grids1x1 estimate b 1.39 + Y FV = good good good FV FV + U1 = knowledge knowledge 21000 a 40.38
UK ATL 100 0.13 = >> N/A N/A 4 grids1x1 estimate a 0 + 10000 i N Y FV + poor poor good U1 U2 + U2 + noChange noChange 100 a 0.19
EE BOR 26300 16.77 + 471 800 471 grids1x1 minimum b 13.35 = > Y FV = good good good FV FV + FV noChange method 13300 b 12.86
LT BOR 64700 41.26 = 1200 1500 N/A grids1x1 minimum c 38.28 = x Y FV = good good good FV FV = U1 = noChange noChange 67800 c 65.57
LV BOR 64000 40.82 x x N/A N/A 432 grids1x1 minimum a 12.25 x 432 grids1x1 Y FV x good unk unk XX FV x FV noChange noChange 21000 a 20.31
SE BOR 1800 1.15 = 1800 N/A N/A 1274 grids1x1 estimate b 36.12 = 12000 i Y FV = good good unk FV U1 = U2 = knowledge knowledge 1300 b 1.26
AT CON 3700 0.80 - >> N/A N/A 63 grids1x1 minimum b 0.04 - >> Unk N U2 x poor poor poor U1 U2 - U1 - genuine noChange 3000 b 1.42
BE CON 11800 2.56 = x 138 N/A 138 grids1x1 minimum c 0.09 x x N Unk U1 x unk unk poor XX U1 x U1 x noChange noChange 5600 a 2.64
BG CON 600 0.13 x 600 N/A N/A 3 grids1x1 minimum b 0 x 21 grids1x1 Y FV = unk unk unk XX XX x N/A N/A method method 300 b 0.14
CZ CON 44300 9.61 = N/A N/A 1924 grids1x1 estimate a 1.24 - > Y U1 - good poor poor U1 U1 - FV method method 28800 a 13.60
DE CON 136450 29.60 x x 49455 49455 49455 grids1x1 estimate b 31.80 x x grids5x5 Unk XX x unk unk unk XX XX x XX noChange noChange 57400 d 27.10
FR CON 34100 7.40 x 100000 100000 N/A grids1x1 estimate b 64.30 - < Y Unk U1 - good poor poor U1 U1 - U2 - knowledge noChange 26400 b 12.46
HR CON 35400 7.68 x x N/A N/A 944 grids1x1 minimum c 0.61 x x Y XX x unk unk unk XX XX N/A N/A 21000 c 9.92
LU CON 3800 0.82 = 1739 N/A N/A grids1x1 minimum b 1.12 = 2107 grids1x1 Y U1 + good unk good FV U1 + N/A N/A method knowledge 3100 b 1.46
PL CON 178800 38.79 = N/A N/A 572 grids1x1 minimum b 0.37 u > Y U1 u good poor poor U1 U1 x U1 x noChange noChange 57500 b 27.15
SI CON 11970 2.60 = 692 698 N/A grids1x1 minimum b 0.45 x x N Unk U1 u good unk poor U1 U1 x U1 x noChange noChange 8700 b 4.11
FR MED 7200 100 = 100000 10000000 N/A grids1x1 estimate b 100 x < Y Unk FV = good good good FV FV = FV noChange noChange 5800 b 100
CZ PAN 3900 3.89 = N/A N/A 55 grids1x1 estimate a 2.51 = > Y U1 - good poor poor U1 U1 - FV method method 1200 a 1.43
HU PAN 93011 92.66 = N/A N/A 2031 grids1x1 minimum b 92.66 = Y FV = good good good FV FV = FV noChange noChange 79900 b 95.35
SK PAN 3470.59 3.46 - > 106 106 N/A grids1x1 estimate b 4.84 - > Y FV = poor good good FV U2 - U2 = N/A N/A 2700 b 3.22
SE CON N/A 0 = N/A N/A N/A N/A grids1x1 estimate a 0 = N/ Y FV = good good unk FV FV = N/A N/A knowledge knowledge N/A b 0
Automatic Assessments Show,Hide
EU biogeographical assessments
MS/EU28 Region Surface Status
Range
Trend FRR Min Max Best value Unit Status
Population
Trend FRP Unit Status
Hab. for
species
Trend Range
prosp.
Population
prosp.
Hab. for sp.
prosp.
Status
Future
prosp.
Curr. CS Curr. CS
trend
2012 CS 2012 CS
trend
Status
Nat. of ch.
CS trend
Nat. of ch.
2001-06 status
with
backcasting
Target 1
EU28 ALP 11072.63 2XP - 354 grids1x1 2XP x 2XP - 2XP MTX - U2 - nong nc U2 C

02/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 ATL 75599 2XP = 107138 grids1x1 2XP - 2XP 2XP MTX - U1 - nong nc U1 C

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 BOR 2XP + 3527 grids1x1 2XP = 2XP = good 2XP MTX + U1 = nc nong U1 B1

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 CON 460920 2GD x grids1x1 2GD 2GD 2GD MTX x XX x nc nc XX D

02/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 MED 7200 0MS = ≈ 7200 100000 10000000 5050000 grids1x1 0MS = < 0MS = good good good 0MS MTX = FV = nc nc FV A=

01/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 PAN 100381.59 2XP = 2192 grids1x1 2XP = 2XP = 2XP MTX = FV = nc nc FV A=

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
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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.

The distribution data for France (2013 – 2018 reporting) were corrected after the official submission of the Article 17 reports by France. The maps displayed via this web tool take into account these corrections, while the values under Distribution area (km2) used for the EU biogeographical assessment are based on the original Article 17 report submitted by France. More details are provided in the feedback part of the reporting envelope on CDR.