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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 GR

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, Zerynthia polyxena, 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
BG N/A N/A 12 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 75 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 N/A N/A 11 grids1x1 minimum N/A N/A N/A N/A
SK 30 30 N/A grids1x1 estimate 7795 107685 N/A i N/A
BG N/A N/A 12 grids1x1 minimum N/A N/A N/A N/A
AT 73 N/A N/A grids1x1 minimum N/A N/A N/A minimum
BG N/A N/A 46 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 29 grids1x1 estimate N/A N/A N/A N/A
HR N/A N/A 13 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 62 grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 5100 grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A 188 grids1x1 mean N/A N/A N/A N/A
FR 265 26500 N/A grids1x1 minimum N/A N/A N/A minimum
GR N/A N/A 17932 grids1x1 estimate 5000 10000 N/A adults estimate
HR N/A N/A 14 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 100 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 1009 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 500 grids1x1 estimate N/A N/A N/A N/A
SK 80 80 N/A grids1x1 estimate 47324 147021 N/A i N/A
RO N/A N/A 900 grids1x1 estimate N/A N/A N/A N/A
AT 2 N/A N/A grids1x1 minimum N/A N/A N/A N/A
FR 3 300 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 4700 16.69 = 4700 N/A N/A 12 grids1x1 minimum c 0.97 u 12 grids1x1 Y FV = unk unk unk XX XX = FV method method 1400 c 14.74
HR ALP 4800 17.04 u x N/A N/A 4 grids1x1 minimum c 0.32 u x Unk U1 u unk unk unk XX U1 x N/A N/A 1400 d 14.74
IT ALP 15700 55.74 = N/A N/A 75 grids1x1 estimate a 6.09 = N Y FV = good good poor U1 U1 = FV knowledge knowledge 4700 b 49.47
RO ALP 1100 3.91 x N/A N/A 1100 grids1x1 estimate b 89.29 x Unk FV x unk unk unk XX FV x N/A N/A knowledge knowledge 500 a 5.26
SI ALP 787 2.79 = N/A N/A 11 grids1x1 minimum b 0.89 = > Y U1 - poor poor poor U1 U1 - U1 - noChange noChange 400 b 4.21
SK ALP 1080.26 3.84 = 30 30 N/A grids1x1 estimate b 2.44 = Y U1 = good poor poor U1 U1 = FV knowledge knowledge 1100 b 11.58
BG BLS 1200 100 = 1200 N/A N/A 12 grids1x1 minimum c 100 u 12 grids1x1 Y FV = unk unk unk XX XX = FV method method 700 c 100
AT CON 6000 9.14 - > 73 N/A N/A grids1x1 minimum a 1.32 - Y U1 - poor poor poor U1 U1 - U1 + noChange genuine 3100 a 12.11
BG CON 11900 18.13 u 11900 N/A N/A 46 grids1x1 minimum c 0.83 = 46 grids1x1 Unk FV = unk unk unk XX XX = FV method method 3900 c 15.23
CZ CON 4800 7.31 = N/A N/A 29 grids1x1 estimate a 0.53 + Y FV = good good good FV FV + FV noChange noChange 1500 a 5.86
HR CON 6300 9.60 u x N/A N/A 13 grids1x1 minimum c 0.24 u x Unk U1 - unk unk unk XX U1 x N/A N/A 3100 d 12.11
IT CON 25100 38.25 = > N/A N/A 62 grids1x1 estimate a 1.13 = > N N U1 - good good poor U1 U1 - N/A N/A knowledge knowledge 6400 b 25
RO CON 5100 7.77 x > N/A N/A 5100 grids1x1 estimate b 92.54 x Y FV x unk unk unk XX FV x U1 N/A knowledge knowledge 4400 a 17.19
SI CON 6422 9.79 = N/A N/A 188 grids1x1 mean b 3.41 = > Y U1 - good good poor U1 U1 - U1 - noChange noChange 3200 b 12.50
FR MED 45400 41.30 = 265 26500 N/A grids1x1 minimum b 42.72 = Y U1 - good unk poor U1 U1 - U1 = noChange noChange 31200 b 57.35
GR MED 57537 52.34 = N/A N/A 17932 grids1x1 estimate c 57.24 = Unk XX x good good unk FV FV = FV noChange method 19600 c 36.03
HR MED 7000 6.37 u x N/A N/A 14 grids1x1 minimum c 0.04 u x Unk U1 u unk unk unk XX U1 x N/A N/A 3600 d 6.62
CZ PAN 5500 12.36 = N/A N/A 100 grids1x1 estimate a 5.92 + Y FV = good good good FV FV + FV noChange noChange 2800 a 7.87
HU PAN 35988 80.86 = N/A N/A 1009 grids1x1 minimum b 59.74 = Y FV = good good good FV FV = FV noChange noChange 29900 b 83.99
RO PAN 500 1.12 x > N/A N/A 500 grids1x1 estimate b 29.60 x Unk FV x unk unk unk XX FV x U1 N/A knowledge knowledge 300 a 0.84
SK PAN 2521.24 5.66 = 80 80 N/A grids1x1 estimate b 4.74 = Y U1 = good good good FV U1 = FV knowledge knowledge 2600 b 7.30
RO STE 900 100 x > N/A N/A 900 grids1x1 estimate b 100 x Unk FV x unk unk unk XX FV x U1 N/A knowledge knowledge 800 a 100
AT ALP 200 0 N N/ 2 N/A N/A grids1x1 minimum a 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 200 a 0
FR ALP 300 0 x x 3 300 N/A grids1x1 minimum b 0 x x Y XX x unk unk unk XX XX x N/A N/A noChange noChange 100 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 28167.26 2XP = ≈ 28167.26 1232.00 1232.00 1232 grids1x1 2XP x > grids1x1 2XP = 2XP MTX x FV = nc nong FV A=

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 1200 0MS = 1200 12 grids1x1 0MS x 12 grids1x1 0MS = unk unk unk 0MS MTX = FV = nong nc FV D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 65622 2XP x > 65622 5511 5511 5511 grids1x1 2XP x > grids1x1 2XP x unk unk unk 2XP MTX x FV = nc nong FV A=

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 109937 2XP = ≈ 109937 18211.00 44446.00 31328.50 grids1x1 2XP = 2XP - good 2XP MTX - XX x nc nong XX C

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 44509.24 0EQ = ≈ 44509.24 1689.00 1689.00 1689 grids1x1 2XP x 2XP = good good good 2XP MTX = FV = nc nc FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 900 0MS x > 900 900 900 900 grids1x1 0MS x 0MS x unk unk unk 0MS MTX x U1 = nong nong U1 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.