Article 17 web tool

Log in

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 ridibundus, All bioregions. Annexes N, N, Y-CTC. 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 24 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 213 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 64 grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 8 grids1x1 minimum N/A N/A N/A N/A
RO 2 50 10 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 63 63 N/A grids1x1 estimate 500 2000 N/A i N/A
BE N/A N/A 313 grids1x1 estimate 16000 160000 N/A i N/A
DE 6566 6566 6566 grids1x1 estimate 191 194 192.50 grids5x5 estimate
NL N/A N/A 1192 grids1x1 minimum 1250000 10000000 N/A i estimate
BG N/A N/A 133 grids1x1 minimum N/A N/A N/A N/A
RO 2 100 10 grids1x1 minimum N/A N/A N/A N/A
LT 500 800 N/A grids1x1 minimum N/A N/A N/A N/A
LV N/A N/A 10 grids1x1 minimum N/A N/A N/A N/A
AT N/A N/A 169 grids1x1 minimum N/A N/A N/A N/A
BE 73 N/A 73 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 1398 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 2345 grids1x1 estimate N/A N/A N/A N/A
DE 47682 47682 47682 grids1x1 estimate 1182 1275 1228.50 grids5x5 estimate
DK N/A N/A N/A N/A N/A N/A N/A
FR N/A N/A N/A estimate N/A N/A N/A estimate
HR N/A N/A 944 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 2 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 285 grids1x1 minimum N/A N/A 285 localities minimum
RO 2 100 10 grids1x1 minimum N/A N/A N/A N/A
SI 713 719 N/A grids1x1 minimum N/A N/A N/A N/A
GR 2851 3295 N/A grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 368 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 342 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
RO 2 100 10 grids1x1 minimum N/A N/A N/A N/A
SK 184 184 N/A grids1x1 estimate 50000 100000 N/A i N/A
RO 2 100 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
AT ALP 1200 1.45 = > N/A N/A 24 grids1x1 minimum b 4.64 x > Y U1 x poor poor poor U1 U1 = U1 = noChange noChange 1000 b 4.59
BG ALP 21600 26.16 = 21600 N/A N/A 213 grids1x1 minimum c 41.20 = 213 grids1x1 Y FV = good good good FV FV = FV noChange method 3900 b 17.89
HR ALP 10400 12.60 x x N/A N/A 64 grids1x1 minimum c 12.38 x x Y XX x unk unk unk XX XX N/A N/A 2200 c 10.09
PL ALP 700 0.85 x x N/A N/A 8 grids1x1 minimum c 1.55 x x Unk XX x unk unk unk XX XX XX noChange noChange N/A b 0
RO ALP 40800 49.42 = 2 50 10 grids1x1 minimum b 1.93 = 10 grids1x1 Y FV = good good good FV FV = U1 - knowledge knowledge 10100 b 46.33
SI ALP 5461 6.61 = 132 138 N/A grids1x1 minimum b 26.11 x x N Unk U1 u good unk poor U1 U1 x U1 x noChange noChange 2400 b 11.01
SK ALP 2397.50 2.90 x 63 63 N/A grids1x1 estimate b 12.19 x Y FV x unk good good FV FV x U1 = knowledge N/A 2200 b 10.09
BE ATL 20200 32.85 + N/A N/A 313 grids1x1 estimate b 3.88 + Y FV + good good good FV FV + FV noChange noChange 13000 a 30.95
DE ATL 22192 36.09 - > 6566 6566 6566 grids1x1 estimate b 81.35 - > grids5x5 Y U1 - poor poor poor U1 U1 - U1 - noChange noChange 10300 b 24.52
NL ATL 19100 31.06 = N/A N/A 1192 grids1x1 minimum c 14.77 = Y FV = good good good FV FV = FV noChange method 18700 a 44.52
BG BLS 6800 49.28 = 6800 N/A N/A 133 grids1x1 minimum c 93.01 = 133 grids1x1 Y FV = good good good FV FV = FV noChange method 3600 b 44.44
RO BLS 7000 50.72 = 2 100 10 grids1x1 minimum b 6.99 = 10 grids1x1 Y FV = good good poor FV FV = U1 = knowledge knowledge 4500 b 55.56
LT BOR 6800 89.47 x x 500 800 N/A grids1x1 minimum c 98.48 x x Y FV x unk unk unk XX XX U1 = noChange noChange 3000 c 76.92
LV BOR 800 10.53 x x N/A N/A 10 grids1x1 minimum b 1.52 x 10 grids1x1 Y FV x unk unk unk XX U1 x U1 x noChange noChange 900 a 23.08
AT CON 5500 0.84 = N/A N/A 169 grids1x1 minimum b 0.32 = > Y U1 = poor poor poor U1 U1 + U1 + noChange noChange 4300 b 1.37
BE CON 11200 1.71 + x 73 N/A 73 grids1x1 minimum c 0.14 + x Unk Unk XX x unk unk unk XX XX N/A N/A N/A N/A 3800 a 1.21
BG CON 81800 12.52 = 81800 N/A N/A 1398 grids1x1 minimum c 2.61 = 1398 grids1x1 Y FV = good good good FV FV = FV noChange method 32300 b 10.26
CZ CON 59100 9.05 + N/A N/A 2345 grids1x1 estimate a 4.37 + Y FV = good good good FV FV + FV method method 36700 a 11.66
DE CON 183283 28.06 = 47682 47682 47682 grids1x1 estimate b 88.92 = grids5x5 Y FV = good good good FV FV = FV noChange noChange 72800 b 23.13
DK CON N/A 0 x x N/A N/A N/A d 0 N x Unk Unk XX x poor unk unk XX XX XX N/A N/A N/A d 0
FR CON 66200 10.14 + N/A N/A N/A estimate b 0 + < Y Unk FV = good good good FV FV + FV noChange noChange 54300 a 17.25
HR CON 35400 5.42 x x N/A N/A 944 grids1x1 minimum c 1.76 x x Y XX x unk unk unk XX XX N/A N/A 20300 c 6.45
IT CON 200 0.03 - > N/A N/A 2 grids1x1 estimate a 0 - >> Y U1 - poor bad poor U2 U2 - FV genuine genuine 100 c 0.03
PL CON 91800 14.06 = N/A N/A 285 grids1x1 minimum b 0.53 + Y FV = good good good FV FV + XX knowledge knowledge 28500 b 9.05
RO CON 106600 16.32 = 2 100 10 grids1x1 minimum b 0.02 = 10 grids1x1 Y FV = good good good FV FV = U1 = knowledge knowledge 53100 b 16.87
SI CON 12021 1.84 = 713 719 N/A grids1x1 minimum b 1.34 x x N Unk U1 u good unk poor U1 U1 x U1 x noChange noChange 8600 b 2.73
GR MED 15460.49 38.21 = 2851 3295 N/A grids1x1 estimate b 89.31 x Y FV = good unk good FV FV x FV noChange noChange 9000 b 45.45
HR MED 25000 61.79 x x N/A N/A 368 grids1x1 minimum c 10.69 x x Y XX x unk unk unk XX XX N/A N/A 10800 c 54.55
CZ PAN 6300 5.23 + N/A N/A 342 grids1x1 estimate a 13.32 + Y FV = good good good FV FV + FV method method 3400 a 3.59
HU PAN 93011 77.27 = N/A N/A 2031 grids1x1 minimum b 79.12 = Y FV = good good good FV FV = FV noChange noChange 78700 b 83.10
RO PAN 16400 13.62 = 2 100 10 grids1x1 minimum b 0.39 = 10 grids1x1 Y FV = good good good FV FV = U1 - knowledge knowledge 8400 b 8.87
SK PAN 4661.34 3.87 = 184 184 N/A grids1x1 estimate b 7.17 = Y FV = good good good FV FV = U1 = knowledge N/A 4200 b 4.44
RO STE 35000 100 = 2 100 10 grids1x1 minimum b 100 = 10 grids1x1 Y FV = good good good FV FV = U1 - knowledge knowledge 16100 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 2XP = 2XP x x 2XP = good unk poor 2XP MTX = U1 = nc nc U1 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 2XP - > 61492 grids1x1 2XP - > grids1x1 2XP - poor poor poor 2XP MTX - U1 = nc nong U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 0EQ = 0EQ = grids1x1 0EQ = good good good 0EQ MTX = U1 x nong nong U1 A=

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 2XP x 2XP x x grids1x1 2XP x unk unk unk 2XP MTX x U1 = nong nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 2XP = 2XP = 2XP = good good good 2XP MTX = U1 = nong nc U1 A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 2XP = 2XP x 2XP = good unk good 2XP MTX x FV nc nong FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 0EQ = grids1x1 0EQ = 0EQ = good good good 0EQ MTX = FV nc nong FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 0MS = 0MS = grids1x1 2XP = good good good 2XP MTX = U1 - nong nong U1 A=

12/19

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.