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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, Pelobates fuscus, All bioregions. Annexes N, Y, 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
PL N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
SK 5 5 N/A grids1x1 estimate 100 500 N/A i N/A
BE N/A N/A 4 grids1x1 estimate N/A N/A 32 i estimate
DE 11736 11736 11736 grids1x1 minimum 207 215 211 grids5x5 minimum
DK N/A N/A N/A estimate N/A N/A 48 localities N/A
FR 3 10 N/A grids1x1 estimate N/A N/A N/A estimate
NL N/A N/A 113 grids1x1 estimate 545 2200 N/A i estimate
BG N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
RO 2 50 10 grids1x1 minimum N/A N/A N/A N/A
EE N/A N/A 84 grids1x1 minimum N/A N/A N/A N/A
LT 1500 1800 N/A grids1x1 minimum N/A N/A N/A N/A
LV N/A N/A 44 grids1x1 minimum N/A N/A N/A N/A
AT N/A N/A 93 grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 24 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 1275 grids1x1 estimate N/A N/A N/A N/A
DE 56518 56518 56518 grids1x1 estimate 1642 1797 1719.50 grids5x5 estimate
DK N/A N/A N/A estimate N/A N/A 133 localities N/A
FR 13 1000 N/A grids1x1 estimate N/A N/A N/A estimate
HR N/A N/A 113 grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 757 grids1x1 minimum N/A N/A N/A N/A
RO 2 50 10 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 1591 grids1x1 estimate 1000 5000 1530 i N/A
SI N/A N/A 97 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A N/A N/A N/A N/A N/A
CZ N/A N/A 181 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 1239 grids1x1 minimum N/A N/A N/A N/A
RO 2 50 10 grids1x1 minimum N/A N/A N/A N/A
SK 136 136 N/A grids1x1 estimate 50000 1000000 N/A i N/A
RO 2 50 10 grids1x1 minimum 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
PL ALP 1200 62.30 x x N/A N/A 2 grids1x1 minimum b 28.57 x x Unk XX x unk unk unk XX XX XX noChange noChange 200 b 66.67
SK ALP 726.22 37.70 x > 5 5 N/A grids1x1 estimate c 71.43 x > Y U1 - unk poor poor U1 U1 x U1 - N/A N/A 100 b 33.33
BE ATL 400 0.79 - >> N/A N/A 4 grids1x1 estimate a 0.03 = >> N N U2 = bad bad poor U2 U2 - U2 - noChange noChange 300 a 1.35
DE ATL 38628 76.62 = 51551 11736 11736 11736 grids1x1 minimum a 98.96 - 313 grids5x5 N N U2 - bad bad bad U2 U2 - U2 - noChange noChange 15900 b 71.62
DK ATL 6489 12.87 + >> N/A N/A N/A estimate b 0 + >> N Unk U1 = bad bad poor U2 U2 + U2 x N/A N/A 1600 b 7.21
FR ATL 300 0.60 = >> 3 10 N/A grids1x1 estimate b 0.05 x >> Unk Unk XX x unk unk unk XX U2 x U2 x noChange noChange 300 b 1.35
NL ATL 4600 9.12 + N/A N/A 113 grids1x1 estimate a 0.95 + > N N U2 = poor bad poor U2 U2 + U2 + noChange noChange 4100 a 18.47
BG BLS 100 1.67 u x N/A N/A 1 grids1x1 minimum c 9.09 x x Unk XX - unk unk unk XX XX x U1 - noChange noInfo 100 b 5.26
RO BLS 5900 98.33 = 2 50 10 grids1x1 minimum b 90.91 = 10 grids1x1 Y FV = good good good FV FV = U1 - knowledge knowledge 1800 b 94.74
EE BOR 8200 20.65 = > N/A N/A 84 grids1x1 minimum a 4.72 = > N N U1 = poor poor poor U1 U1 = U1 + noChange genuine 3900 a 27.27
LT BOR 20700 52.14 x x 1500 1800 N/A grids1x1 minimum c 92.80 = x Y XX = unk unk unk XX XX U1 = noChange noChange 6800 b 47.55
LV BOR 10800 27.20 x > N/A N/A 44 grids1x1 minimum a 2.47 x > Y XX x unk unk unk XX U1 x U1 x knowledge noChange 3600 a 25.17
AT CON 6200 1.22 - >> N/A N/A 93 grids1x1 estimate b 0.15 - >> Unk N U2 - bad bad bad U2 U2 - U2 - genuine noChange 4800 b 2.05
BG CON 1500 0.29 u x N/A N/A 24 grids1x1 minimum c 0.04 u 24 grids1x1 Y XX u unk unk unk XX XX x U1 x noChange noInfo 800 b 0.34
CZ CON 61000 11.98 = N/A N/A 1275 grids1x1 estimate a 2.09 = Y FV = good good good FV FV = U1 = method method 32100 a 13.70
DE CON 136379 26.78 - > 56518 56518 56518 grids1x1 estimate b 92.68 - 1761 grids5x5 N Y U1 - poor unk poor U1 U1 - U1 - noChange noChange 87100 b 37.17
DK CON 12507 2.46 + > N/A N/A N/A estimate b 0 + > N Unk U1 + poor bad poor U2 U2 + U2 x N/A N/A 5800 b 2.48
FR CON 1300 0.26 = >> 13 1000 N/A grids1x1 estimate b 0.83 = > Unk Unk U1 - poor unk poor U1 U2 - U2 - noChange noChange 1100 b 0.47
HR CON 16800 3.30 x x N/A N/A 113 grids1x1 minimum c 0.19 x x Unk XX x unk unk unk XX XX N/A N/A 5200 c 2.22
PL CON 222500 43.70 = N/A N/A 757 grids1x1 minimum b 1.24 - > Y U1 - good poor poor U1 U1 - FV knowledge knowledge 75800 b 32.35
RO CON 45800 8.99 = 2 50 10 grids1x1 minimum b 0.02 = 10 grids1x1 Y XX = good good unk FV FV = U1 x knowledge knowledge 18600 b 7.94
SE CON 3100 0.61 = 3100 N/A N/A 1591 grids1x1 estimate b 2.61 - 8000 i Unk U1 - good good unk FV U2 - U2 = noChange genuine 1600 b 0.68
SI CON 2106 0.41 x > N/A N/A 97 grids1x1 minimum b 0.16 x > N Unk U1 - unk unk poor XX U1 x U1 - noChange noInfo 1400 b 0.60
HR MED N/A 0 N x N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A XX XX N/A N/A 100 c 100
CZ PAN 5700 4.90 = N/A N/A 181 grids1x1 estimate a 11.56 = Y FV = good good good FV FV = U1 = method method 2800 a 3.41
HU PAN 93011 79.90 = N/A N/A 1239 grids1x1 minimum b 79.12 = Y FV = good good good FV FV = FV noChange noChange 69700 b 84.90
RO PAN 12600 10.82 = 2 50 10 grids1x1 minimum b 0.64 = 10 grids1x1 Y XX = good good unk FV FV = U1 x knowledge knowledge 6000 b 7.31
SK PAN 5100.83 4.38 = 136 136 N/A grids1x1 estimate c 8.68 x > Y U1 x good poor poor U1 U1 x U1 = N/A N/A 3600 b 4.38
RO STE 20800 100 = 2 50 10 grids1x1 minimum b 100 = 10 grids1x1 Y XX = good good unk FV FV = U1 x knowledge knowledge 6200 b 100
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 1926.22 2XP x 7 7 7 grids1x1 2XP x > 7 grids1x1 2XP - unk 2XP MTX x U1 - nong nong U1 D

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 ATL 50417 2GD = 2GD - >> 2GD - 2GD MTX - U2 - nc nc U1 C

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 BLS 6000 2XP = 3 51 11 grids1x1 2XP = 2XP = 2XP MTX = U1 - nong nong U1 A=

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 BOR 39700 2XP x 1628 1928 1778 grids1x1 2XP = 2XP x 2XP MTX x U1 + nong nong U1 D

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 CON 509192 2GD - 2GD - 2GD - 2GD MTX - U1 - nc nc U1 C

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 MED 0MS x 0MS x 0MS x 0MS MTX x nong nong D

02/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 PAN 116411.83 0EQ = ≈ 116411.83 1558 1606 1566 grids1x1 2XP = 2XP = good 2XP MTX = U1 = nong nc U1 A=

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 STE 20800 0MS = ≈ 20800 2 50 10 grids1x1 0MS = 10 grids1x1 0MS = good good unk 0MS MTX = U1 x nong nong U1 A=

01/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
The current dataset is readonly, so you cannot add a conclusion.

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.