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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, Rana arvalis, 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
AT 16 16 N/A grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 13 grids1x1 minimum N/A N/A N/A N/A
RO 2 100 10 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 18708 grids1x1 estimate 20000000 30000000 25000000 i estimate
SI N/A N/A 10 grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 144 grids1x1 estimate 3900 15600 N/A i estimate
DE 19746 19746 19746 grids1x1 estimate 431 438 434.50 grids5x5 estimate
DK N/A N/A N/A estimate N/A N/A 108 localities N/A
FR 4 4 N/A grids1x1 minimum 169 500 169 i minimum
NL N/A N/A 1757 grids1x1 estimate 200000 2000000 N/A i estimate
EE 542 800 N/A grids1x1 minimum N/A N/A N/A N/A
FI N/A N/A 1347 grids1x1 minimum N/A N/A N/A N/A
LT 5000 5300 N/A grids1x1 minimum N/A N/A N/A N/A
LV N/A N/A 133 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 358742 grids1x1 estimate 150000000 350000000 250000000 i estimate
AT 84 84 N/A grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 831 grids1x1 estimate N/A N/A N/A N/A
DE 64457 64457 64457 grids1x1 estimate 1656 1861 1758.50 grids5x5 estimate
DK N/A N/A 242 grids1x1 estimate N/A N/A N/A N/A
FR 3 50 N/A grids1x1 minimum 3 50 N/A localities minimum
HR N/A N/A 102 grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 931 grids1x1 minimum N/A N/A N/A N/A
RO 2 100 10 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 19617 grids1x1 estimate 10000000 25000000 17500000 i estimate
SI N/A N/A 76 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 113 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 271 grids1x1 minimum N/A N/A N/A N/A
RO 2 100 10 grids1x1 minimum N/A N/A N/A N/A
SK 142 142 N/A grids1x1 estimate 50000 500000 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 900 1.60 - > 16 16 N/A grids1x1 minimum c 0.09 x > Unk Unk U1 x poor poor poor U1 U1 x U1 x noChange noChange 900 b 2.43
PL ALP 6300 11.20 x x N/A N/A 13 grids1x1 minimum c 0.07 x Unk XX u unk unk unk XX XX XX noChange noChange 1300 b 3.50
RO ALP 6100 10.85 = 2 100 10 grids1x1 minimum b 0.05 = 10 grids1x1 Y XX = good poor unk U1 U1 = U1 - noChange noChange 1700 b 4.58
SE ALP 42800 76.10 = 42800 N/A N/A 18708 grids1x1 estimate b 99.74 = 25000000 i Y FV = good good unk FV FV = FV noChange noChange 33100 b 89.22
SI ALP 142 0.25 x > N/A N/A 10 grids1x1 minimum b 0.05 x > N Unk U1 - unk unk bad U2 U2 x U1 - method noInfo 100 b 0.27
BE ATL 3800 4.53 = N/A N/A 144 grids1x1 estimate a 0.67 = N N U1 = good good poor U1 U1 = U1 + noChange genuine 2100 a 4.17
DE ATL 45648 54.44 - 56196 19746 19746 19746 grids1x1 estimate b 91.20 - >> grids5x5 N Unk U1 - bad unk unk U2 U2 - U1 - genuine noChange 24400 b 48.51
DK ATL 11595 13.83 N N/A N/A N/A estimate b 0 - > Y FV = good good good FV U1 - FV N/A N/A 4100 b 8.15
FR ATL 2.40 0 = > 4 4 N/A grids1x1 minimum c 0.02 = > Unk Unk XX = unk unk unk XX U1 = U1 = noChange noChange 800 a 1.59
NL ATL 22800 27.19 = N/A N/A 1757 grids1x1 estimate b 8.12 = N Y U1 = good good poor U1 U1 = FV knowledge method 18900 a 37.57
EE BOR 45100 5.62 = 542 800 N/A grids1x1 minimum b 0.18 - > N N U1 - good poor poor U1 U1 - FV genuine genuine 21000 b 3.93
FI BOR 249700 31.13 = N/A N/A 1347 grids1x1 minimum b 0.37 u Y FV = good good good FV FV = FV noChange method 72700 b 13.60
LT BOR 64700 8.07 = 5000 5300 N/A grids1x1 minimum c 1.41 = Y FV = good good good FV FV = U1 = noChange noChange 68200 c 12.75
LV BOR 64000 7.98 x x N/A N/A 133 grids1x1 minimum a 0.04 x x Y FV x good unk unk XX FV x FV noChange noChange 7500 a 1.40
SE BOR 378500 47.19 = 378500 N/A N/A 358742 grids1x1 estimate b 98.01 = 250000000 i Y FV = good good unk FV FV = FV noChange noChange 365300 b 68.32
AT CON 4600 0.92 = > 84 84 N/A grids1x1 minimum c 0.10 x > Unk Unk U1 - poor poor poor U1 U1 x U1 - noChange noChange 3700 b 1.47
CZ CON 38700 7.71 = N/A N/A 831 grids1x1 estimate a 0.96 - > Y U1 - good poor poor U1 U1 - U1 - genuine genuine 20900 a 8.32
DE CON 111842 22.28 - 122442 64457 64457 64457 grids1x1 estimate b 74.62 - > grids5x5 N Y U1 - poor poor poor U1 U1 - U1 - noChange noChange 83800 b 33.37
DK CON 21689 4.32 - > N/A N/A 242 grids1x1 estimate b 0.28 - > Y FV = poor poor good U1 U1 - U1 x N/A N/A 9500 b 3.78
FR CON 200 0.04 = >> 3 50 N/A grids1x1 minimum c 0.03 u >> N Unk U1 = unk bad poor U2 U2 = U2 - noChange genuine 600 a 0.24
HR CON 17900 3.57 x x N/A N/A 102 grids1x1 minimum c 0.12 x x Unk XX x unk unk unk XX XX N/A N/A 5800 c 2.31
PL CON 254500 50.71 = N/A N/A 931 grids1x1 minimum b 1.08 u > Unk U1 - good poor poor U1 U1 x U1 x noChange noChange 93700 b 37.32
RO CON 24900 4.96 = 2 100 10 grids1x1 minimum b 0.01 = 10 grids1x1 Y XX = good poor unk U1 U1 = U1 - noChange noChange 9400 b 3.74
SE CON 24900 4.96 = 24900 N/A N/A 19617 grids1x1 estimate c 22.71 = 17500000 i Y FV = good good unk FV FV = FV noChange noChange 21700 b 8.64
SI CON 2664 0.53 x > N/A N/A 76 grids1x1 minimum b 0.09 x > N Unk U1 - unk unk bad U2 U2 x U1 - method noInfo 2000 b 0.80
CZ PAN 5800 19.40 = N/A N/A 113 grids1x1 estimate a 21.08 - > Y U1 - good poor poor U1 U1 - U1 - method method 1900 a 9.36
HU PAN 11202 37.47 - > N/A N/A 271 grids1x1 minimum c 50.56 - > Y U1 - poor poor poor U1 U1 - U1 = noChange genuine 11500 b 56.65
RO PAN 9400 31.45 = 2 100 10 grids1x1 minimum b 1.87 = 10 grids1x1 Y XX = good poor unk U1 U1 = U1 - noChange noChange 3600 b 17.73
SK PAN 3490.93 11.68 - > 142 142 N/A grids1x1 estimate b 26.49 - > Y U1 - poor poor poor U1 U2 - U2 - N/A N/A 3300 b 16.26
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 2XP = ≈ 56242 grids1x1 2XP 2XP = good good 2XP MTX = FV nc nong FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 2XR - >> 2XR - >> 2XR - bad unk unk 2XR MTX - U1 - nong nong U1 C

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 2XP = ≈ 802000 grids1x1 2XP = grids1x1 2XP = good good good 2XP MTX = FV x nc nong FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 2XP = > 2XP - > 2XP - good poor poor 2XP MTX - U1 - nc nc U1 C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 2XP = > 2XP - > grids1x1 2XP - poor poor poor 2XP MTX - U1 - nc nc U1 C

01/20

EEA-ETC/BD

Institution: -

Member State:

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.