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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, Stylurus flavipes, All bioregions. Annexes N, Y, 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
BE N/A N/A 45 grids1x1 estimate 8000 37000 10000 i estimate
DE 535 535 535 grids1x1 estimate 51 51 51 grids5x5 estimate
FR 58 5800 N/A grids1x1 minimum N/A N/A N/A minimum
NL N/A N/A 182 grids1x1 estimate 6000 N/A N/A i minimum
EE N/A N/A 7 grids1x1 minimum N/A N/A N/A N/A
LV N/A N/A 11 grids1x1 minimum N/A N/A N/A N/A
AT 29 29 N/A grids1x1 estimate N/A N/A N/A N/A
CZ N/A N/A 59 grids1x1 estimate N/A N/A N/A N/A
DE 2073 2073 2073 grids1x1 estimate 189 201 195 grids5x5 estimate
FR 32 3200 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 6 grids1x1 estimate N/A N/A N/A N/A
IT 870 1740 N/A grids1x1 estimate N/A N/A N/A N/A
PL 3500 4000 N/A grids1x1 estimate N/A N/A N/A N/A
FR 27 2700 N/A grids1x1 minimum N/A N/A N/A minimum
GR N/A N/A 761 grids1x1 estimate N/A N/A 9 grids10x10 estimate
CZ N/A N/A 31 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 525 grids1x1 minimum N/A N/A N/A N/A
SK 107 107 N/A grids1x1 estimate 881 101954 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
BE ATL 2100 10.33 + N/A N/A 45 grids1x1 estimate a 1.22 + Y FV = good good good FV FV + U2 + knowledge noChange 1200 a 7.32
DE ATL 7829 38.51 = 535 535 535 grids1x1 estimate b 14.49 = 51 grids5x5 N Y U1 = good good poor U1 U1 = FV method noChange 3500 b 21.34
FR ATL 5800 28.53 = 58 5800 N/A grids1x1 minimum b 79.36 x x Y FV = good good good FV FV = FV noChange noChange 7200 b 43.90
NL ATL 4600 22.63 = N/A N/A 182 grids1x1 estimate b 4.93 x Y FV = good good good FV FV = XX knowledge noInfo 4500 a 27.44
EE BOR 300 5.75 + x N/A N/A 7 grids1x1 minimum c 38.89 x x Y XX x unk unk unk XX XX XX noChange noChange 300 d 100
LV BOR 4918 94.25 + > N/A N/A 11 grids1x1 minimum c 61.11 + 11 grids1x1 Unk XX x unk unk unk XX U1 = U2 x knowledge knowledge N/A b 0
AT CON 1200 1.31 = 29 29 N/A grids1x1 estimate b 0.33 = Y FV = good good good FV FV = FV noChange noChange 700 b 1.57
CZ CON 8400 9.14 = > N/A N/A 59 grids1x1 estimate a 0.67 = > N Y U1 = good good good FV U1 = U2 = knowledge noChange 3100 a 6.97
DE CON 32978 35.89 = 2073 2073 2073 grids1x1 estimate b 23.46 = > grids5x5 N Y U1 - unk unk poor XX U1 - U1 + noChange knowledge 12900 b 28.99
FR CON 3200 3.48 = 32 3200 N/A grids1x1 minimum b 18.28 = x Y FV = good good good FV FV = FV noChange noChange 3300 b 7.42
HR CON 1900 2.07 x x N/A N/A 6 grids1x1 estimate c 0.07 x 6 grids1x1 Unk XX x unk unk unk XX XX N/A noChange noChange 600 c 1.35
IT CON 16100 17.52 = 870 1740 N/A grids1x1 estimate b 14.77 = Y FV = good good good FV FV = FV noChange noChange 8700 b 19.55
PL CON 28100 30.58 = x 3500 4000 N/A grids1x1 estimate b 42.43 = x Y FV = good good good FV FV = FV noChange noChange 15200 b 34.16
FR MED 4600 89.72 = 27 2700 N/A grids1x1 minimum b 64.18 = Y FV = good good good FV FV = FV noChange noChange 2800 b 75.68
GR MED 527 10.28 = N/A N/A 761 grids1x1 estimate b 35.82 - Unk XX x good poor unk U1 U1 - U1 - noChange noChange 900 b 24.32
CZ PAN 2900 9.91 = N/A N/A 31 grids1x1 estimate a 4.68 = Y FV = good good good FV FV = U1 = knowledge noChange 1100 a 3.91
HU PAN 23913 81.68 = N/A N/A 525 grids1x1 minimum b 79.19 = Y FV = good good good FV FV = FV noChange method 24700 b 87.90
SK PAN 2461.69 8.41 = 107 107 N/A grids1x1 estimate b 16.14 = Y U1 = good poor poor U1 U1 = FV knowledge knowledge 2300 b 8.19
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 ATL 20329 0EQ + ≈ 20329 820 6562 3691 grids1x1 2XP x 2XP = good good 2XP MTX = U1 + nong nong U1 A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 5218 1 + 18 grids1x1 0EQ + x 0EQ x unk unk unk 0EQ MTX = U2 x nong nong U2 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 91878 1 = < 927718 6569 11107 8838 grids1x1 2XP = 2XP = 2XP MTX = U1 + nc nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 5127 0EQ = ≈ 5127 788 3461 2124.5 grids1x1 1 - ≈ 2124.5 grids1x1 2XP x good 2XP MTX - U1 - nc nc XX C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 29274.69 0EQ = ≈ 29274.69 663 663 663 grids1x1 1 = ≈ 663 grids1x1 2XP = good good good 2XP MTX = FV = nc nc FV A=

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.