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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, Maculinea nausithous, 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 58 N/A N/A grids1x1 minimum N/A N/A N/A N/A
DE 23 23 N/A grids1x1 estimate 15 15 15 grids5x5 estimate
FR 6 600 N/A grids1x1 minimum N/A N/A N/A minimum
PL N/A N/A 9 grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 400 grids1x1 estimate N/A N/A N/A N/A
SK 53 53 N/A grids1x1 estimate 8958 47898 N/A i N/A
DE 8 12 N/A grids1x1 estimate 8 8 8 grids5x5 estimate
ES 22 N/A N/A grids1x1 minimum 22 N/A N/A localities minimum
NL N/A N/A 5 grids1x1 estimate 150 500 N/A i estimate
AT 358 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 1499 grids1x1 estimate N/A N/A N/A N/A
DE 1078 2705 N/A grids1x1 estimate 1264 1264 1264 grids5x5 estimate
FR 63 6300 N/A grids1x1 minimum 5000 20000 N/A i minimum
HR N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 283 grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 700 grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A 388 grids1x1 estimate N/A N/A N/A N/A
ES 24 N/A N/A grids1x1 minimum 24 N/A N/A localities minimum
CZ N/A N/A N/A grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 181 grids1x1 minimum N/A N/A N/A N/A
SK 4 4 N/A grids1x1 estimate 1000 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 3800 28.70 = 58 N/A N/A grids1x1 minimum b 6.86 x x Y U1 - good unk poor U1 U1 x U1 = noChange N/A 3100 b 35.63
DE ALP 2484 18.76 = > 23 23 N/A grids1x1 estimate c 2.72 x x grids5x5 N N U1 = poor poor poor U1 U1 = U1 - noChange method 1800 b 20.69
FR ALP 3100 23.42 = 6 600 N/A grids1x1 minimum d 35.82 x x Unk Unk XX - poor poor poor U1 U1 x U1 = noChange noChange 1300 b 14.94
PL ALP 2000 15.11 x x N/A N/A 9 grids1x1 estimate c 1.06 x x N Unk U1 x unk unk poor XX U1 x U1 x noChange noChange 900 c 10.34
RO ALP 400 3.02 x > N/A N/A 400 grids1x1 estimate b 47.28 x 1200 grids1x1 Unk XX x unk unk unk XX XX N/A N/A knowledge knowledge 100 a 1.15
SK ALP 1455.04 10.99 x 53 53 N/A grids1x1 estimate b 6.26 x Y FV x unk good good FV U1 x FV knowledge N/A 1500 b 17.24
DE ATL 1188 19.20 - >> 8 12 N/A grids1x1 estimate b 27.03 - >> grids5x5 N N U2 - bad bad bad U2 U2 - U2 = noChange genuine 1100 b 35.48
ES ATL 4900 79.19 - 9800 22 N/A N/A grids1x1 minimum c 59.46 - 1100 grids1x1 N N U1 - poor poor poor U1 U2 - XX knowledge knowledge 2000 a 64.52
NL ATL 100 1.62 = >> N/A N/A 5 grids1x1 estimate a 13.51 + >> N N U2 = bad bad poor U2 U2 + U2 - noChange genuine N/A a 0
AT CON 11300 4 - > 358 N/A N/A grids1x1 minimum b 4.31 - > N N U2 - poor poor bad U2 U2 - U1 = genuine genuine 9000 b 5.38
BG CON 300 0.11 u 300 N/A N/A 2 grids1x1 minimum c 0.02 u 2 grids1x1 Y FV = poor poor poor U1 U1 x FV method method 400 c 0.24
CZ CON 70800 25.09 = N/A N/A 1499 grids1x1 estimate a 18.05 = Y FV = good poor good U1 U1 = U1 = noChange noChange 42500 a 25.42
DE CON 117079 41.48 - > 1078 2705 N/A grids1x1 estimate a 22.77 - > grids5x5 N N U1 - poor poor poor U1 U1 - U1 - noChange noChange 77400 b 46.29
FR CON 17400 6.17 - 63 6300 N/A grids1x1 minimum c 38.30 - > Y XX u bad bad unk U2 U2 - FV noChange noChange 5900 b 3.53
HR CON 300 0.11 - >> N/A N/A 4 grids1x1 minimum c 0.05 - >> Unk U1 - unk unk unk XX U2 - N/A N/A 300 c 0.18
PL CON 60800 21.54 x N/A N/A 283 grids1x1 estimate c 3.41 x > N Unk U1 - unk poor poor U1 U1 x U1 - noChange knowledge 27300 c 16.33
RO CON 700 0.25 x > N/A N/A 700 grids1x1 estimate b 8.43 x Unk U1 x poor poor poor U1 U1 x XX knowledge knowledge 600 a 0.36
SI CON 3558 1.26 = > N/A N/A 388 grids1x1 estimate b 4.67 - >> N N U2 - poor bad bad U2 U2 - U2 - noChange noChange 3800 b 2.27
ES MED 7300 100 u 24 N/A N/A grids1x1 minimum c 100 = x Unk U1 x poor poor poor U1 U1 - XX knowledge knowledge 2900 a 100
CZ PAN N/A 0 - >> N/A N/A N/A grids1x1 estimate a 0 - >> N Y U1 = bad bad poor U2 U2 - U1 = genuine genuine N/A a 0
HU PAN 8689 97.79 = N/A N/A 181 grids1x1 minimum b 97.84 = > Y U1 u good poor poor U1 U1 = U1 - noChange knowledge 8200 a 97.62
SK PAN 196.27 2.21 = 4 4 N/A grids1x1 estimate b 2.16 = Y FV = good good good FV FV = FV N/A knowledge 200 b 2.38
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 13239.04 2GD x > 13239.04 grids1x1 2GD x x 2GD - 2GD MTX x U1 - nc nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 6188 0EQ - >> 11088 grids1x1 2XR - >> 2XR - 2XR MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 282237 2GD - >> 282237 grids1x1 2GD - 2GD - 2GD MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 7300 0MS x ≈ 7300 24 24 24 grids1x1 0MS = x 0MS x poor poor poor 0MS MTX - XX x nong nong XX C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 8885.27 2XP = ≈ 8885.27 185.00 185.00 185 grids1x1 2XP = > 2XP x 2XP MTX = U1 - nc nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 2GD 2GD 3GD U1 - U1 0/2

03/20

National Museum of Natural History, Bulgarian

Institution: National Museum of Natural History, Bulgarian

Member State: BG

National Museum of Natural History, Bulgarian
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.