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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, Cordulegaster heros, All bioregions. Annexes Y, 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
AT 60 60 N/A grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 40 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 8 grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 1100 grids1x1 estimate N/A N/A N/A N/A
SI 88 110 N/A grids1x1 estimate N/A N/A N/A N/A
SK 97 97 N/A grids1x1 estimate 1000 10000 N/A i N/A
AT 81 81 N/A grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 15 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 15 grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 51 grids1x1 estimate N/A N/A N/A N/A
IT 8 10 N/A grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 4600 grids1x1 estimate N/A N/A N/A N/A
SI 459 481 N/A grids1x1 estimate N/A N/A N/A N/A
GR N/A N/A 1634 grids1x1 estimate 18 42 N/A grids10x10 estimate
HR N/A N/A 1 grids1x1 estimate N/A N/A N/A N/A
CZ N/A N/A 1 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 138 grids1x1 minimum N/A N/A N/A N/A
SK 97 97 N/A grids1x1 estimate 500 5000 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 2800 13.80 = 60 60 N/A grids1x1 estimate b 4.27 = Y FV = good good good FV FV = FV noChange noChange 2200 b 22.92
BG ALP 8400 41.40 = 8400 N/A N/A 40 grids1x1 minimum b 2.85 = 40 grids1x1 Y FV = good good good FV FV = FV noChange method 2000 b 20.83
HR ALP 1600 7.88 x x N/A N/A 8 grids1x1 estimate c 0.57 x 8 grids1x1 Unk XX x unk unk unk XX XX N/A noChange noChange 500 c 5.21
RO ALP 1100 5.42 - > N/A N/A 1100 grids1x1 estimate b 78.35 - Unk U1 - poor poor poor U1 U1 - U1 N/A knowledge knowledge 900 a 9.38
SI ALP 5233 25.79 = 88 110 N/A grids1x1 estimate b 7.05 = Y FV = good good good FV FV = FV noChange noChange 3000 b 31.25
SK ALP 1158.80 5.71 u 97 97 N/A grids1x1 estimate b 6.91 u Y U1 = good poor poor U1 U1 x FV knowledge knowledge 1000 b 10.42
AT CON 4000 9.86 = 81 81 N/A grids1x1 estimate b 1.55 = Y FV = good good good FV FV = FV noChange noChange 3600 b 15.79
BG CON 8200 20.20 = 8200 N/A N/A 15 grids1x1 minimum b 0.29 = 15 grids1x1 Y FV = good good good FV FV = FV noChange noChange 2100 b 9.21
CZ CON 400 0.99 = >> N/A N/A 15 grids1x1 estimate a 0.29 = >> N Y U2 = poor poor good U1 U2 = U1 + knowledge knowledge 300 a 1.32
HR CON 10500 25.87 x x N/A N/A 51 grids1x1 estimate c 0.97 x 51 grids1x1 Unk XX x unk unk unk XX XX N/A noChange noChange 3000 c 13.16
IT CON 1000 2.46 = 8 10 N/A grids1x1 estimate b 0.17 = > Y U1 - good unk poor U1 U1 - XX knowledge knowledge 700 b 3.07
RO CON 4600 11.33 = > N/A N/A 4600 grids1x1 estimate b 87.77 = Y FV = good good good FV FV = U1 N/A knowledge knowledge 3100 a 13.60
SI CON 11887 29.29 = 459 481 N/A grids1x1 estimate b 8.97 = Y FV = good good good FV FV = FV noChange noChange 10000 b 43.86
GR MED 3941 88.74 = N/A N/A 1634 grids1x1 estimate b 99.94 - 42 grids10x10 Unk XX x good poor unk U1 U1 - U1 - noChange noChange 1800 b 94.74
HR MED 500 11.26 x x N/A N/A 1 grids1x1 estimate c 0.06 x x Unk XX x unk unk unk XX XX N/A noChange noChange 100 c 5.26
CZ PAN 200 5.30 = x N/A N/A 1 grids1x1 estimate a 0.42 = x N Y XX = unk unk unk XX XX N/A N/A knowledge knowledge 100 a 2.44
HU PAN 3233 85.66 = N/A N/A 138 grids1x1 minimum a 58.47 = Y FV = good good good FV FV = FV noChange noChange 3600 a 87.80
SK PAN 341.20 9.04 = 97 97 N/A grids1x1 estimate b 41.10 u x Y FV u unk good good FV U1 x U1 = N/A N/A 400 b 9.76
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 20300 2GD = 1404 grids1x1 2GD - > 2GD - good good poor 2GD MTX = FV nong nong FV D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 40600 2GD 5241 grids1x1 2GD = 2GD good good good 2GD MTX = FV nc nong FV A=

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 4400 2GD 1635 grids1x1 2GD - > 0EQ good poor unk 2GD MTX - U1 - nc nc XX C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 3800 2GD = 236 grids1x1 2GD x 2GD = good good good 2GD MTX = U1 = nong nc U1 A=

03/20

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.