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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, Arthropods, Sympecma paedisca, All bioregions. Annexes N, Y-CTC, 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
AT 25 25 N/A grids1x1 estimate N/A N/A N/A N/A
DE 25 25 25 grids1x1 estimate 2 2 2 localities estimate
NL N/A N/A 311 grids1x1 estimate 10000 50000 N/A i estimate
EE N/A N/A 210 grids1x1 estimate N/A N/A N/A N/A
FI N/A N/A 140 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 67 grids1x1 estimate N/A N/A N/A N/A
DE 657 657 657 grids1x1 estimate 93 93 93 localities estimate
IT 140 700 N/A grids1x1 estimate N/A N/A N/A N/A
PL 1900 2500 N/A grids1x1 estimate N/A N/A N/A N/A
DE 26 26 26 grids1x1 estimate 1 1 1 localities estimate
PL N/A N/A 2 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 1000 100 = > 25 25 N/A grids1x1 estimate b 100 = > Y FV = poor good good U1 U1 = U1 = noChange noChange 800 b 100
DE ATL 200 4.88 = 496 25 25 25 grids1x1 estimate b 7.44 x >> localities N N U2 - bad bad bad U2 U2 - U2 - noChange noChange 200 b 5.26
NL ATL 3900 95.12 = N/A N/A 311 grids1x1 estimate a 92.56 u > Y FV = good poor good U1 U1 = U2 = knowledge noChange 3600 a 94.74
EE BOR 22900 52.89 + N/A N/A 210 grids1x1 estimate b 60 = Y FV = good unk good FV FV + FV noChange noChange 8400 b 49.70
FI BOR 20400 47.11 + N/A N/A 140 grids1x1 minimum b 40 + Y FV = good good good FV FV + N/A N/A method method 8500 a 50.30
CZ CON 3100 5.65 = N/A N/A 67 grids1x1 estimate a 2 = Y FV = good good good FV FV = U1 = method noChange 2000 a 6.78
DE CON 7890 14.37 - 11642 657 657 657 grids1x1 estimate b 19.65 - 125 localities N N U1 - bad bad poor U2 U2 - U2 - noChange noChange 5800 b 19.66
IT CON 3300 6.01 = 140 700 N/A grids1x1 estimate b 12.56 = > N Y U1 = good good good FV U1 = U2 - noChange noChange 1800 b 6.10
PL CON 40600 73.97 = x 1900 2500 N/A grids1x1 estimate b 65.79 = x Y FV = good good good FV FV = FV noChange noChange 19900 d 67.46
DE ALP 176 0 N N/ 26 26 26 grids1x1 estimate c 0 N N/ localities N/A N N/A N/A N/A XX N/A N/A N/A N/A noChange noChange 200 b 0
PL ALP 300 0 x x N/A N/A 2 grids1x1 minimum c 0 x x Unk XX x unk unk unk XX XX XX noChange noChange 200 d 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 1000 0MS = > 1000 25 25 25 grids1x1 0MS = > 25 grids1x1 0MS = poor good good 0MS MTX = U1 = nc nc U1 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 4100 1 = ≈ 4396 336 336 336 grids1x1 2XP 2XP = 2XP MTX = U2 = nong nc U2 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 43300 0EQ + ≈ 43300 350 grids1x1 0EQ + ≈ 350 grids1x1 0EQ = good good 0EQ MTX + XX x nong nong XX A=

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 54890 2XP = 2764 3924 3344 grids1x1 2XP = 2XP = 2XP MTX = U1 - nc nong U1 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.