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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, Bombina variegata, All bioregions. Annexes Y, 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
AT N/A N/A 541 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 261 grids1x1 minimum N/A N/A N/A N/A
DE 1926 1926 1926 grids1x1 estimate 44 44 44 grids5x5 estimate
FR 63 600 N/A grids1x1 estimate N/A N/A N/A estimate
HR N/A N/A 95 grids1x1 minimum N/A N/A N/A N/A
IT 241 1116 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 103 grids1x1 minimum N/A N/A N/A N/A
RO 2 200 100 grids1x1 minimum N/A N/A N/A N/A
SI 323 355 N/A grids1x1 minimum N/A N/A N/A N/A
SK 888 888 N/A grids1x1 estimate 100000 3000000 N/A i N/A
DE 4 4 4 grids1x1 estimate 4 4 8 grids5x5 estimate
FR N/A N/A N/A estimate N/A N/A N/A estimate
NL N/A N/A 31 grids1x1 estimate 50 600 N/A i estimate
AT N/A N/A 203 grids1x1 minimum N/A N/A N/A N/A
BE 29 35 29 grids1x1 minimum 700 1000 850 adults estimate
BG N/A N/A 582 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 1339 grids1x1 estimate N/A N/A N/A N/A
DE 44922 44922 44922 grids1x1 estimate 1009 1009 1009 grids5x5 estimate
FR N/A N/A N/A minimum 441 798 N/A minimum
HR N/A N/A 534 grids1x1 minimum N/A N/A N/A N/A
IT 94 300 N/A grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 6 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 77 grids1x1 minimum N/A N/A N/A N/A
RO 2 200 100 grids1x1 minimum N/A N/A N/A N/A
SI 636 668 N/A grids1x1 minimum N/A N/A N/A N/A
FR 45 1500 N/A grids1x1 estimate N/A N/A N/A estimate
GR 8218 9862 N/A grids1x1 estimate N/A N/A N/A estimate
HR N/A N/A 132 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 8 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 603 grids1x1 minimum N/A N/A N/A N/A
RO 2 200 100 grids1x1 minimum N/A N/A N/A N/A
SK 27 27 N/A grids1x1 estimate 500 1000 N/A i 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 17600 9.47 - > N/A N/A 541 grids1x1 minimum b 10.28 x > Unk N U1 x poor poor poor U1 U1 x U1 x genuine genuine 14500 b 13.96
BG ALP 25100 13.51 = 25100 N/A N/A 261 grids1x1 minimum b 4.96 x 261 grids1x1 Unk FV x good good good FV FV x FV method method 6300 b 6.06
DE ALP 3304 1.78 = > 1926 1926 1926 grids1x1 estimate b 36.60 x x grids5x5 Y FV = poor unk good U1 U1 = U1 - noChange method 2400 b 2.31
FR ALP 7500 4.04 - > 63 600 N/A grids1x1 estimate b 6.30 - > Unk Unk U1 - bad bad bad U2 U2 - U2 - noChange noChange 4900 a 4.72
HR ALP 10500 5.65 x N/A N/A 95 grids1x1 minimum c 1.81 x x Y XX x unk unk unk XX XX N/A N/A 3900 c 3.75
IT ALP 20400 10.98 - > 241 1116 N/A grids1x1 estimate b 12.89 - > N N U2 - poor poor poor U1 U2 - N/A N/A genuine genuine 12900 b 12.42
PL ALP 14800 7.97 = N/A N/A 103 grids1x1 minimum b 1.96 u Unk XX - good unk poor U1 U1 x FV knowledge noChange 9800 b 9.43
RO ALP 59500 32.03 = 2 200 100 grids1x1 minimum b 1.90 = 100 grids1x1 Y U1 = good good unk FV U1 = XX noChange noChange 26900 b 25.89
SI ALP 7656 4.12 = 7656 323 355 N/A grids1x1 minimum b 6.44 - > N Unk U1 - good unk poor U1 U1 - U1 - noChange noChange 6100 b 5.87
SK ALP 19408.57 10.45 = 888 888 N/A grids1x1 estimate b 16.87 x Y U1 = good poor poor U1 U1 = U1 - N/A N/A 16200 b 15.59
DE ATL 2494 12.54 = >> 4 4 4 grids1x1 estimate b 11.43 = > grids5x5 N Y U1 = poor poor poor U1 U2 = U2 - noChange genuine 1100 b 8.03
FR ATL 16900 84.95 - > N/A N/A N/A estimate b 0 - > Unk Unk U2 - bad bad bad U2 U2 - U2 - noChange noChange 12100 a 88.32
NL ATL 500 2.51 + N/A N/A 31 grids1x1 estimate a 88.57 + >> N N U2 + good bad bad U2 U2 + U2 + noChange noChange 500 a 3.65
AT CON 8800 1.78 - > N/A N/A 203 grids1x1 minimum c 0.42 - > Unk N U1 - poor poor poor U1 U1 - U1 - noChange noChange 6800 b 2.39
BE CON 1300 0.26 + >> 29 35 29 grids1x1 minimum a 0.06 + >> N N U1 - bad poor poor U2 U2 = U2 + noChange genuine 600 a 0.21
BG CON 54500 11.05 = 54500 N/A N/A 582 grids1x1 minimum b 1.20 x 582 grids1x1 Unk XX x unk unk unk XX XX FV method method 20600 b 7.23
CZ CON 23500 4.76 = N/A N/A 1339 grids1x1 estimate a 2.75 - > Y U1 - good poor poor U1 U1 - U1 x genuine genuine 17000 a 5.96
DE CON 139143 28.21 - 153776 44922 44922 44922 grids1x1 estimate b 92.35 - 1510 grids5x5 N N U2 - poor bad bad U2 U2 - U2 - noChange noChange 67600 b 23.71
FR CON 106500 21.59 u x N/A N/A N/A minimum b 0 x < Unk Unk U1 - unk unk bad U2 U2 x U1 - knowledge noChange 87100 a 30.55
HR CON 30300 6.14 x N/A N/A 534 grids1x1 minimum c 1.10 x x Y XX x unk unk unk XX XX N/A N/A 15800 c 5.54
IT CON 12700 2.57 - > 94 300 N/A grids1x1 estimate b 0.41 - > N N U2 - poor poor poor U1 U2 - N/A N/A genuine genuine 7100 b 2.49
LU CON 700 0.14 = 1800 N/A N/A 6 grids1x1 estimate b 0.01 = 23 grids1x1 N N U2 + unk unk good XX U2 + U2 = noChange genuine 200 b 0.07
PL CON 13300 2.70 = N/A N/A 77 grids1x1 minimum b 0.16 u Unk U1 - good unk poor U1 U1 x XX knowledge noChange 7600 b 2.67
RO CON 89900 18.23 = 2 200 100 grids1x1 minimum b 0.21 = 100 grids1x1 Y U1 = good good unk FV U1 = XX noChange noChange 43100 b 15.12
SI CON 12599 2.55 = 636 668 N/A grids1x1 minimum b 1.34 - > N Unk U1 - good poor poor U1 U1 - U1 - noChange noChange 11600 b 4.07
FR MED 5000 10.93 - > 45 1500 N/A grids1x1 estimate b 7.77 - > Unk Unk XX - poor poor unk U1 U1 - XX genuine genuine 3100 a 14.98
GR MED 31440.08 68.74 = 8218 9862 N/A grids1x1 estimate b 90.90 = Y FV = good good good FV FV = FV noChange noChange 13000 b 62.80
HR MED 9300 20.33 x x N/A N/A 132 grids1x1 minimum c 1.33 x x Unk XX x unk unk unk XX XX N/A N/A 4600 c 22.22
CZ PAN 900 5.76 = N/A N/A 8 grids1x1 estimate a 1.08 - >> Y U1 - good bad poor U2 U2 - U1 x method method 400 a 3.88
HU PAN 7254 46.43 u > N/A N/A 603 grids1x1 minimum b 81.71 u > N Y U1 u poor unk poor U1 U1 x U1 = noChange noChange 6400 b 62.14
RO PAN 6400 40.97 = 2 200 100 grids1x1 minimum b 13.55 = 100 grids1x1 Y U1 = good good unk FV U1 = XX noChange noChange 2200 b 21.36
SK PAN 1068.54 6.84 x 27 27 N/A grids1x1 estimate b 3.66 x Y XX = unk unk unk XX XX XX N/A N/A 1300 b 12.62
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 185768.57 2GD - 4443 6085 5263 grids1x1 2GD - > 2GD - 2GD MTX - nong nong C

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 ATL 19894 2GD - 2GD + 2GD - 2GD MTX - U2 - nc nc U2 C

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 CON 493242 2GD - 2GD - > 2GD - 2GD MTX - nong nong C

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 MED 45740.08 2GD - 8395 11494 9944.5 grids1x1 2GD - 2GD - 2GD MTX - nong nong C

03/20

EEA-ETC/BD

Institution: -

Member State: SK

EEA-ETC/BD
EU28 PAN 15622.54 2GD x 640 838 738 grids1x1 2GD x 2GD x 2GD MTX x XX x nong nc XX D

03/20

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.