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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, Proserpinus proserpina, 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
AT N/A N/A 7 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
FR 8 800 N/A grids1x1 minimum N/A N/A N/A minimum
IT 10 100 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A N/A grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 1200 grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A N/A minimum N/A N/A N/A N/A
SK 6 6 N/A grids1x1 estimate 267 484 N/A i N/A
BE N/A N/A 137 grids1x1 estimate N/A N/A N/A N/A
DE 384 384 384 grids1x1 estimate 28 28 28 grids5x5 estimate
FR 66 6600 N/A grids1x1 minimum N/A N/A N/A minimum
NL N/A N/A 64 grids1x1 estimate 5 40 N/A i estimate
BG N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 1 grids1x1 minimum N/A N/A N/A N/A
AT N/A N/A 6 grids1x1 minimum N/A N/A N/A N/A
BE 41 80 41 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 16 grids1x1 minimum 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 1038 1038 1038 grids1x1 estimate 199 200 199.50 grids5x5 estimate
FR 25 2500 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 7 grids1x1 minimum N/A N/A N/A N/A
IT 30 150 N/A grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 70 grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 4200 grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A N/A minimum N/A N/A N/A N/A
ES 80 N/A N/A grids1x1 minimum 80 N/A N/A localities minimum
FR 16 1600 N/A grids1x1 minimum N/A N/A N/A minimum
GR N/A N/A 199 grids1x1 estimate N/A N/A 2 grids10x10 estimate
HR N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
IT 300 1500 N/A grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A N/A N/A N/A N/A N/A
CZ N/A N/A 9 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 154 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 600 grids1x1 estimate N/A N/A N/A N/A
SK 6 6 N/A grids1x1 estimate 271 703 N/A i N/A
RO N/A N/A 200 grids1x1 estimate N/A N/A N/A N/A
ES 5 N/A N/A grids1x1 minimum 5 N/A N/A localities minimum
ES 6 N/A N/A grids1x1 minimum 6 N/A N/A localities minimum
LV N/A N/A N/A estimate 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 700 6.64 x > N/A N/A 7 grids1x1 minimum b 0.42 x > Unk Unk XX x poor poor poor U1 U1 x U1 = noChange noInfo 400 b 11.43
BG ALP 400 3.79 u 400 N/A N/A 4 grids1x1 minimum c 0.24 u 4 grids1x1 Unk XX x unk unk unk XX XX x FV method method 200 c 5.71
FR ALP 1600 15.18 = 8 800 N/A grids1x1 minimum b 24.11 = Unk Unk FV x unk unk unk XX FV = FV noChange noChange 600 b 17.14
IT ALP 5700 54.07 = 10 100 N/A grids1x1 estimate b 3.28 = x Y FV = good good good FV FV = FV noChange noChange 1400 c 40
PL ALP N/A 0 x x N/A N/A N/A grids1x1 estimate c 0 x x Unk XX x unk unk unk XX XX XX noChange noChange N/A c 0
RO ALP 1200 11.38 x > N/A N/A 1200 grids1x1 estimate b 71.60 x Unk FV x good good good FV FV x U1 N/A knowledge knowledge 500 a 14.29
SI ALP 519 4.92 x x N/A N/A N/A minimum d 0 x x Unk XX x unk unk poor XX XX XX noChange noChange N/A c 0
SK ALP 422.34 4.01 x 6 6 N/A grids1x1 estimate b 0.36 x Y U1 x poor poor poor U1 U1 x XX knowledge N/A 400 b 11.43
BE ATL 16600 31.95 + N/A N/A 137 grids1x1 estimate b 3.50 + Y FV = good good good FV FV + XX genuine genuine 8600 a 38.39
DE ATL 7250 13.96 u 384 384 384 grids1x1 estimate b 9.80 x grids5x5 Y FV = unk unk good XX XX = XX noChange method 2900 b 12.95
FR ATL 23100 44.47 = 66 6600 N/A grids1x1 minimum b 85.07 = Unk Unk FV = good good good FV FV = FV noChange noChange 7100 b 31.70
NL ATL 5000 9.62 + N/A N/A 64 grids1x1 estimate a 1.63 + Y FV = good good good FV FV + FV noChange method 3800 a 16.96
BG BLS 400 100 u 400 N/A N/A 2 grids1x1 minimum c 100 u 2 grids1x1 Unk XX x unk unk unk XX XX x FV method method 200 c 100
LT BOR 100 100 x x N/A N/A 1 grids1x1 minimum c 100 x x Unk XX x unk unk unk XX XX XX noChange noChange 100 b 100
AT CON 600 0.43 x > N/A N/A 6 grids1x1 minimum b 0.09 x > Unk Unk XX x poor poor poor U1 U1 x U1 = noChange noInfo 500 b 1.09
BE CON 11100 8.02 + 41 80 41 grids1x1 minimum b 0.60 + x Unk XX x good unk unk XX XX XX noChange noChange 3100 a 6.75
BG CON 3300 2.38 u 3300 N/A N/A 16 grids1x1 minimum c 0.24 u 16 grids1x1 Unk XX x unk unk unk XX XX x FV method method 1700 c 3.70
CZ CON 20500 14.81 + N/A N/A 59 grids1x1 estimate a 0.87 u Y FV = good unk good FV FV = FV noChange noChange 4500 a 9.80
DE CON 59291 42.83 x x 1038 1038 1038 grids1x1 estimate b 15.28 x x grids5x5 Unk XX x unk unk unk XX XX x XX noChange noChange 19200 b 41.83
FR CON 6200 4.48 = 25 2500 N/A grids1x1 minimum b 18.58 = Unk Unk FV = unk unk unk XX FV = FV noChange noChange 2100 b 4.58
HR CON 700 0.51 x x N/A N/A 7 grids1x1 minimum c 0.10 x x Unk XX x unk unk unk XX XX N/A N/A 600 d 1.31
IT CON 19900 14.38 = 30 150 N/A grids1x1 estimate b 1.32 = Y FV = good good good FV FV = U1 x knowledge knowledge 3500 c 7.63
LU CON 600 0.43 x 2000 N/A N/A 4 grids1x1 minimum c 0.06 x > N Unk U1 x unk unk poor XX U1 x U1 x noChange noChange 400 c 0.87
PL CON 11500 8.31 x x N/A N/A 70 grids1x1 estimate c 1.03 x x Unk XX x unk unk unk XX XX XX noChange noChange 7000 c 15.25
RO CON 4200 3.03 x > N/A N/A 4200 grids1x1 estimate b 61.82 x Unk FV x good good good FV FV x U1 N/A knowledge knowledge 3300 a 7.19
SI CON 528 0.38 x x N/A N/A N/A minimum d 0 x x Unk XX x unk unk unk XX XX U1 x noInfo noChange N/A c 0
ES MED 26800 54.25 u 80 N/A N/A grids1x1 minimum c 4.02 x x Unk FV x good unk good FV FV = XX knowledge knowledge 9600 a 58.54
FR MED 3200 6.48 = 16 1600 N/A grids1x1 minimum b 40.60 = Unk Unk XX = unk unk unk XX XX = FV noChange noChange 1300 b 7.93
GR MED 197 0.40 = N/A N/A 199 grids1x1 estimate c 10 x Unk XX x good poor unk U1 U1 x U1 x noChange noChange 200 c 1.22
HR MED 300 0.61 x x N/A N/A 3 grids1x1 minimum c 0.15 x x Unk XX x unk unk unk XX XX N/A N/A 300 d 1.83
IT MED 18900 38.26 = 300 1500 N/A grids1x1 estimate b 45.23 x x Y FV = good unk good FV FV = FV noChange noChange 3400 c 20.73
PT MED N/A 0 x x N/A N/A N/A d 0 x x Unk XX x unk unk unk XX XX XX N/A N/A 1600 c 9.76
CZ PAN 3300 17.84 = N/A N/A 9 grids1x1 estimate a 1.17 = Y FV = good good good FV FV = FV noChange noChange 600 a 4.03
HU PAN 14333 77.48 = N/A N/A 154 grids1x1 minimum c 20.03 u x Unk U1 u good unk poor U1 U1 x U1 x noChange noChange 13700 b 91.95
RO PAN 600 3.24 x > N/A N/A 600 grids1x1 estimate b 78.02 x Unk FV x good good good FV FV x U1 N/A knowledge knowledge 400 a 2.68
SK PAN 266.32 1.44 x 6 6 N/A grids1x1 estimate b 0.78 x > Y U1 x unk poor poor U1 U1 x XX knowledge N/A 200 b 1.34
RO STE 200 100 x > N/A N/A 200 grids1x1 estimate b 100 x Unk FV x good good good FV FV x U1 N/A knowledge knowledge 300 a 100
ES ALP 2100 0 = 4200 5 N/A N/A grids1x1 minimum c 0 = 250 grids1x1 Y FV = good unk good FV FV = N/A N/A knowledge knowledge 600 a 0
ES ATL 2200 0 = 4400 6 N/A N/A grids1x1 minimum c 0 = 300 grids1x1 Y FV = good unk good FV FV = XX knowledge knowledge 500 a 0
LV BOR N/A 0 x x N/A N/A N/A estimate d 0 x x Unk XX x unk unk unk XX XX XX noChange noChange N/A 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 10541.34 2XR x ≈ 10541.34 grids1x1 2XR x > 2XR x 2XR MTX x FV = nong nong FV D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 51950 2XP + ≈ 51950 651.00 7185.00 3918 grids1x1 2XP = 0EQ = good 2XP MTX = XX x nong nong XX A=

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 400 0MS x 400 2 grids1x1 0MS x 2 grids1x1 0MS x unk unk unk 0MS MTX x FV = nong nong FV D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 100 0MS x x 1 grids1x1 0MS x x 0MS x unk unk unk 0MS MTX x XX x nc nc XX D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 138419 2XP x ≈ 138419 5496.00 8130.00 6793.50 grids1x1 2XP x > 2XP x unk unk unk 2XP MTX x U1 x nong nc U1 A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 49397 2GD x ≈ 49397 grids1x1 2GD x x 2GD x 2GD MTX = XX x nong nong XX A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 18499.32 2XP = > 18499.32 grids1x1 2XP x x 2XP x 2XP MTX x U1 x nong nc U1 A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 200 0MS x > 200 grids1x1 0MS x 0MS x good good good 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.