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, Fish, Zingel zingel, All bioregions. Annexes Y, N, Y. Show all Fish
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 1 grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 102 grids1x1 minimum 1000 10000 N/A i N/A
AT N/A N/A 823 grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
DE 230 230 230 grids1x1 minimum 15 15 15 grids5x5 minimum
HR N/A N/A 59 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 1838 grids1x1 minimum 3262 39149 N/A i N/A
SI N/A N/A 11 grids1x1 estimate N/A N/A N/A N/A
CZ N/A N/A 3 grids1x1 estimate N/A N/A 2 grids10x10 estimate
HU N/A N/A 348 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 462 grids1x1 minimum 1000 10000 N/A i N/A
SK 30 30 N/A grids1x1 estimate 5000 15000 N/A i N/A
RO N/A N/A 1462 grids1x1 mean 1000 10000 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 100 100 - >> N/A N/A 1 grids1x1 estimate a 100 - >> N Unk U1 = bad bad bad U2 U2 - U2 x noChange genuine 100 a 100
RO BLS 1100 100 - x N/A N/A 102 grids1x1 minimum b 100 - x Y U1 - poor poor poor U1 U1 - U1 - knowledge knowledge 1900 b 100
AT CON 6800 12.97 = > N/A N/A 823 grids1x1 estimate a 27.76 = > Y U1 + good poor poor U1 U1 + U1 x noChange knowledge 5400 a 8.88
BG CON 6000 11.45 = 6000 N/A N/A 4 grids1x1 minimum b 0.13 = 4 grids1x1 Y FV = good good good FV FV = FV knowledge knowledge 2500 b 4.11
DE CON 1942 3.70 = > 230 230 230 grids1x1 minimum b 7.76 = >> grids5x5 N N U1 - poor poor poor U1 U2 - U1 + method method 1100 b 1.81
HR CON 11400 21.75 = N/A N/A 59 grids1x1 minimum c 1.99 x x Y FV = good unk good FV FV = N/A N/A 10300 c 16.94
RO CON 24700 47.12 + x N/A N/A 1838 grids1x1 minimum b 61.99 - x Y U1 - poor poor poor U1 U1 - U1 - noChange noChange 40600 b 66.78
SI CON 1582 3.02 = 1582 N/A N/A 11 grids1x1 estimate a 0.37 - >> N N U1 - good poor poor U1 U2 - FV knowledge knowledge 900 a 1.48
CZ PAN 400 1.47 = 1400 N/A N/A 3 grids1x1 estimate b 0.36 - >> N N U2 = bad bad bad U2 U2 - U2 = noChange noChange 200 b 0.69
HU PAN 16229 59.84 = N/A N/A 348 grids1x1 minimum b 41.28 = Y FV = good good unk FV FV = FV noChange method 15200 b 52.60
RO PAN 8700 32.08 - x N/A N/A 462 grids1x1 minimum b 54.80 - x Y U1 = poor poor poor U1 U1 - U1 x noChange noChange 11400 b 39.45
SK PAN 1790.13 6.60 = 30 30 N/A grids1x1 estimate c 3.56 x Y U1 = good poor poor U1 U2 = XX knowledge N/A 2100 b 7.27
RO STE 17000 100 - > N/A N/A 1462 grids1x1 mean b 100 + x Y U1 = poor poor poor U1 U1 - U1 - knowledge knowledge 23700 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 100 0MS - >> 1 grids1x1 0MS - >> 0MS = bad bad bad 0MS MTX - U2 x nc gen U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 1100 0MS - x 102 grids1x1 0MS - x 0MS - poor poor poor 0MS MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 52424 2XP + > 2965 grids1x1 2XP - 2XP - 2XP MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 27119 2XP - 843 grids1x1 2XP - 2XP = 2XP MTX - U1 x nc nong U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 1700 0MS - > 1462 grids1x1 0MS + x 0MS = poor poor poor 0MS MTX - U1 - nc nc U1 C

02/20

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.