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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 PL

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, Arthropods, Rhysodes sulcatus, All bioregions. Annexes Y, N, N. Show all Arthropods
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
BG N/A N/A N/A grids1x1 minimum N/A N/A N/A N/A
FR 16 1600 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 1 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 20 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 400 grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
SK 477 477 N/A grids1x1 estimate 1171 2905 N/A i N/A
BG N/A N/A N/A grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 22 grids1x1 estimate N/A N/A N/A N/A
FR 4 400 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 2 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 154 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 900 grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
GR N/A N/A 100 grids1x1 estimate N/A N/A 1 grids10x10 estimate
IT N/A N/A 1 grids1x1 estimate N/A N/A N/A N/A
CZ N/A N/A 5 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 130 grids1x1 minimum N/A N/A N/A N/A
SK 120 120 N/A grids1x1 estimate N/A 398 N/A i N/A
FR 9 900 N/A grids1x1 minimum N/A N/A N/A minimum
FR 4 400 N/A grids1x1 minimum N/A N/A N/A minimum
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
BG ALP N/A 0 x 3600 N/A N/A N/A grids1x1 minimum c 0 x x Unk XX x unk unk unk XX XX x U1 - method method N/A c 0
FR ALP 2100 19.51 x > 16 1600 N/A grids1x1 minimum d 47.25 x x N N U2 u unk unk unk XX U2 x U2 x noChange noChange 1500 b 18.99
HR ALP 100 0.93 x x N/A N/A 1 grids1x1 minimum c 0.06 x x Unk XX x unk unk unk XX XX N/A N/A 100 N/A 1.27
IT ALP 200 1.86 = x N/A N/A 2 grids1x1 estimate c 0.12 x x Y FV = good unk good FV FV = N/A N/A knowledge knowledge 200 c 2.53
PL ALP 2500 23.22 x x N/A N/A 20 grids1x1 minimum b 1.17 x x Unk XX x unk unk unk XX XX U2 + knowledge noChange 1100 b 13.92
RO ALP 400 3.72 x > N/A N/A 400 grids1x1 estimate b 23.39 x Unk U1 x poor poor poor U1 U1 x XX knowledge knowledge 300 a 3.80
SI ALP 959 8.91 x x N/A N/A 2 grids1x1 minimum c 0.12 x x N Unk U1 x unk unk unk XX U1 x U2 x noInfo noChange 200 c 2.53
SK ALP 4506.65 41.86 - > 477 477 N/A grids1x1 estimate c 27.89 - > Y U1 - poor poor poor U1 U1 - U1 - N/A N/A 4500 b 56.96
BG CON N/A 0 x 3600 N/A N/A N/A grids1x1 minimum c 0 x x N Unk XX u unk unk unk XX XX x U1 - method method N/A c 0
CZ CON 800 10.06 = N/A N/A 22 grids1x1 estimate a 1.71 = Y U1 = good good poor U1 U1 = U2 = knowledge noChange 600 a 12.50
FR CON 400 5.03 x >> 4 400 N/A grids1x1 minimum d 15.73 x x Unk Unk XX x unk unk unk XX U2 x U2 - noChange noChange 500 b 10.42
HR CON 200 2.52 x x N/A N/A 2 grids1x1 minimum c 0.16 x x Unk XX x unk unk unk XX XX N/A N/A 200 N/A 4.17
IT CON 300 3.77 = x N/A N/A 2 grids1x1 estimate c 0.16 x x Y FV = good unk good FV FV = XX noChange noChange 200 c 4.17
PL CON 2800 35.22 x x N/A N/A 154 grids1x1 minimum c 11.99 x x Y FV x unk unk good XX XX U1 x knowledge knowledge 2300 b 47.92
RO CON 900 11.32 x > N/A N/A 900 grids1x1 estimate b 70.09 x Unk XX x unk unk unk XX XX XX knowledge knowledge 800 a 16.67
SI CON 2550 32.08 x x N/A N/A 2 grids1x1 minimum c 0.16 x x N Unk U1 x unk unk poor XX U1 x U2 x noInfo noChange 200 c 4.17
GR MED 100 50 = N/A N/A 100 grids1x1 estimate c 99.01 x Unk XX x good poor unk U1 U1 x U1 x noChange noChange 100 c 50
IT MED 100 50 = x N/A N/A 1 grids1x1 estimate c 0.99 x x Y FV = good poor good FV FV = XX noChange noChange 100 c 50
CZ PAN 300 3.77 = > N/A N/A 5 grids1x1 estimate a 1.96 = >> N Y U1 = poor poor poor U1 U2 = N/A N/A knowledge knowledge 300 a 3.90
HU PAN 6592 82.90 = > N/A N/A 130 grids1x1 minimum b 50.98 u > Y U1 u poor poor poor U1 U1 x U1 = knowledge knowledge 6200 b 80.52
SK PAN 1060.10 13.33 - > 120 120 N/A grids1x1 estimate c 47.06 - > Y U1 - poor poor poor U1 U2 - U2 - N/A N/A 1200 b 15.58
FR ATL 800 0 x x 9 900 N/A grids1x1 minimum d 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange 400 b 0
FR MED 500 0 x x 4 400 N/A grids1x1 minimum d 0 x x Unk Unk XX x unk poor poor U1 U1 x N/A N/A noChange noChange 300 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 2XR 3XR - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 800 0MS x x 9 900 454.5 grids1x1 0MS x x 0MS x unk unk unk 0MS MTX x XX x nc nc D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 11550 2XR x 2XR x x 2XR x 2XR 3XR x U1 x nong nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 700 2GD x 105 501 303 grids1x1 2GD x 2GD x 2GD MTX x XX x nc nc XX D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 7952.1 2XP = > 255 255 255 grids1x1 2XP x >> grids1x1 0EQ x poor poor poor 0EQ MTX x U2 - nong nong U2 D

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.