Article 17 web tool

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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.

Warning: The map does not show the distribution for sensitive species in RO

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

Sensitive spatial information for this species is not shown in the map.

Current selection: 2013-2018, Fish, Hucho hucho, All bioregions. Annexes II, V. 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 617 grids1x1 estimate N/A N/A N/A N/A
DE 41 41 41 grids1x1 minimum 6 6 6 grids5x5 minimum
HR N/A N/A 24 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 252 grids1x1 minimum N/A N/A N/A N/A
SI 76 82 N/A grids1x1 estimate N/A N/A N/A N/A
SK 50 150 N/A grids1x1 estimate 500 1000 N/A i N/A
AT N/A N/A 592 grids1x1 estimate N/A N/A N/A N/A
DE 1009 1009 1009 grids1x1 minimum 128 128 128 grids5x5 minimum
HR N/A N/A 50 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 74 grids1x1 minimum N/A N/A N/A N/A
SI 153 159 N/A grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 8 grids1x1 minimum N/A N/A N/A N/A
SK 1 10 N/A grids1x1 estimate N/A 50 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 7600 38.24 + >> N/A N/A 617 grids1x1 estimate a 55.44 - >> Y U2 = poor bad poor U2 U2 - U2 x noChange genuine 6300 a 28.51
DE ALP 1001 5.04 = 41 41 41 grids1x1 minimum b 3.68 - >> grids5x5 N N U1 = good poor poor U1 U2 - U2 = noChange knowledge 600 b 2.71
HR ALP 700 3.52 = N/A N/A 24 grids1x1 minimum b 2.16 u > Y XX u good unk poor XX XX N/A N/A 400 b 1.81
RO ALP 2600 13.08 - x N/A N/A 252 grids1x1 minimum b 22.64 - x Y U2 - bad bad bad U2 U2 - U2 - noChange noChange 6700 b 30.32
SI ALP 2114 10.64 = 76 82 N/A grids1x1 estimate b 7.10 u > Y U1 - good poor poor U1 U1 x U1 = noChange genuine 2000 b 9.05
SK ALP 5858.86 29.48 x > 50 150 N/A grids1x1 estimate c 8.98 x Y U1 x unk poor poor U1 U2 x XX knowledge N/A 6100 b 27.60
AT CON 6100 21.42 + >> N/A N/A 592 grids1x1 estimate a 31.47 - >> N N U2 - bad bad bad U2 U2 - U2 x noChange knowledge 4700 a 22.07
DE CON 15011 52.71 = 1009 1009 1009 grids1x1 minimum b 53.64 = >> grids5x5 N N U2 - good poor poor U1 U2 - U2 = noChange method 8100 b 38.03
HR CON 2000 7.02 - x N/A N/A 50 grids1x1 minimum b 2.66 x > Y XX u poor poor good U1 U1 x N/A N/A 1600 b 7.51
RO CON 1100 3.86 + x N/A N/A 74 grids1x1 minimum b 3.93 - x Y U2 - bad bad bad U2 U2 - U2 - noChange noChange 2400 b 11.27
SI CON 4266 14.98 - >> 153 159 N/A grids1x1 estimate b 8.29 - >> N N U2 - bad bad bad U2 U2 - U1 = knowledge knowledge 4500 b 21.13
HU PAN 976 79.68 = N/A N/A 8 grids1x1 minimum b 59.26 = Y FV = good good unk FV FV = FV noChange method 700 b 100
SK PAN 248.92 20.32 x > 1 10 N/A grids1x1 estimate c 40.74 x Y U1 x unk poor poor U1 U1 x U1 - N/A N/A N/A b 0
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 19874 2XP + >> 1060 1166 1113 2XP - >> 2XP - 2XP MTX - U2 x nc nong U2 C

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 18477 2XP = >> 1878 1884 1881 2XP - >> 2XP - 2XP MTX - U2 = nc nong U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 1225 2XP x > 9 18 14 grids1x1 2XP x > 2XP x 2XP MTX x U1 - nc nong U1 D

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.