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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 teleius, All bioregions. Annexes II, IV. 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 56 N/A N/A grids1x1 minimum N/A N/A N/A N/A
DE 14 14 N/A grids1x1 estimate 5 5 5 grids5x5 estimate
FR 30 3000 N/A grids1x1 minimum N/A N/A N/A minimum
IT N/A N/A 7 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 1 grids1x1 minimum N/A N/A 1 localities minimum
RO N/A N/A 800 grids1x1 estimate N/A N/A N/A N/A
SI 36 39 N/A grids1x1 estimate N/A N/A N/A N/A
SK 105 105 N/A grids1x1 estimate 82866 121532 N/A i N/A
FR 11 1100 N/A grids1x1 minimum N/A N/A N/A minimum
NL N/A N/A 9 grids1x1 estimate 800 3000 N/A i estimate
LT N/A N/A 190 grids1x1 estimate N/A N/A N/A N/A
LV N/A N/A 2 grids1x1 estimate N/A N/A N/A N/A
AT 266 N/A N/A grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 444 grids1x1 estimate N/A N/A N/A N/A
DE 370 974 N/A grids1x1 estimate 367 368 367.50 grids5x5 estimate
FR 48 4800 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 15 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 5 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 200 grids1x1 minimum N/A N/A 150 localities minimum
RO N/A N/A 2400 grids1x1 estimate N/A N/A N/A N/A
SI 457 460 N/A grids1x1 estimate N/A N/A N/A N/A
FR 29 2900 N/A grids1x1 minimum N/A N/A N/A minimum
CZ N/A N/A N/A grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 801 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 300 grids1x1 estimate N/A N/A N/A N/A
SK 26 26 N/A grids1x1 estimate 21442 73236 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 2600 12.17 = > 56 N/A N/A grids1x1 minimum b 2.21 x > Y U1 - poor poor poor U1 U1 x U1 = noChange N/A 2200 b 18.18
DE ALP 964 4.51 = > 14 14 N/A grids1x1 estimate b 0.55 = > grids5x5 N N U1 = poor poor poor U1 U1 = U1 = noChange noChange 500 b 4.13
FR ALP 6900 32.30 = 30 3000 N/A grids1x1 minimum b 59.75 - > Unk Unk U1 - unk unk unk XX U1 - U1 = noChange noChange 2700 b 22.31
IT ALP 2600 12.17 = N/A N/A 7 grids1x1 estimate a 0.28 - >> N N U2 - good bad bad U2 U2 - N/A N/A genuine genuine 1000 b 8.26
PL ALP 1600 7.49 x x N/A N/A 1 grids1x1 minimum c 0.04 x x Unk XX x unk poor poor U1 U1 x U1 x noChange noChange 500 b 4.13
RO ALP 800 3.75 x > N/A N/A 800 grids1x1 estimate b 31.55 x Unk U1 x unk unk unk XX U1 x U1 N/A knowledge knowledge 400 a 3.31
SI ALP 2110 9.88 - >> 36 39 N/A grids1x1 estimate a 1.48 - >> N Unk U2 - bad bad bad U2 U2 - U2 - noChange noChange 1000 b 8.26
SK ALP 3785.69 17.72 = 105 105 N/A grids1x1 estimate b 4.14 = Y U1 = good poor poor U1 U1 = FV knowledge knowledge 3800 b 31.40
FR ATL 1700 94.44 = > 11 1100 N/A grids1x1 minimum b 98.41 x >> N Unk U2 - unk bad bad U2 U2 x U2 x noChange noChange 1300 b 92.86
NL ATL 100 5.56 = >> N/A N/A 9 grids1x1 estimate a 1.59 - >> N N U2 - bad bad poor U2 U2 - U2 + noChange genuine 100 a 7.14
LT BOR 15600 39.78 = N/A N/A 190 grids1x1 estimate b 98.96 = > Y FV x good good good FV FV = U1 + genuine genuine 9100 b 100
LV BOR 23614 60.22 + 23614 N/A N/A 2 grids1x1 estimate b 1.04 u 2 grids1x1 Unk U1 x good good poor U1 U1 x U1 = noChange noChange N/A b 0
AT CON 7800 4.39 - > 266 N/A N/A grids1x1 minimum b 3.86 - > N N U2 - poor poor bad U2 U2 - U1 = genuine genuine 6200 b 6.89
CZ CON 36300 20.42 - > N/A N/A 444 grids1x1 estimate a 6.45 - > Y U1 = poor poor good U1 U2 - U2 - noChange noChange 16600 a 18.44
DE CON 31989 18 - >> 370 974 N/A grids1x1 estimate b 9.76 - >> grids5x5 N N U2 - bad bad bad U2 U2 - U1 - genuine noChange 23400 b 26
FR CON 12600 7.09 = 48 4800 N/A grids1x1 minimum b 35.21 u > N N U2 = unk unk unk XX U2 = U1 = noChange noChange 4400 b 4.89
HR CON 700 0.39 - >> N/A N/A 15 grids1x1 minimum c 0.22 - >> Unk U1 - unk unk unk XX U2 - N/A N/A 700 c 0.78
IT CON 2800 1.58 = N/A N/A 5 grids1x1 estimate a 0.07 - >> N N U2 - good bad bad U2 U2 - U2 - noChange noChange 900 b 1
PL CON 77500 43.60 u N/A N/A 200 grids1x1 minimum b 2.91 x > N Unk U1 u good poor poor U1 U1 x U1 - noChange method 30800 b 34.22
RO CON 2400 1.35 x > N/A N/A 2400 grids1x1 estimate b 34.86 x Unk U1 x unk unk unk XX U1 x U1 N/A knowledge knowledge 2100 a 2.33
SI CON 5662 3.19 = > 457 460 N/A grids1x1 estimate b 6.66 - >> N N U2 - poor bad bad U2 U2 - U2 - noChange noChange 4900 b 5.44
FR MED 4500 100 = 29 2900 N/A grids1x1 minimum b 100 - > Unk Unk U1 - unk unk unk XX U1 - U1 = noChange noChange 1900 b 100
CZ PAN N/A 0 - >> N/A N/A N/A grids1x1 estimate a 0 - >> N Y U1 = bad bad poor U2 U2 - U2 - noChange noChange N/A a 0
HU PAN 23862 93.82 = N/A N/A 801 grids1x1 minimum b 71.07 = Y U1 = good good poor U1 U1 = U1 = noChange noChange 23400 a 93.60
RO PAN 300 1.18 x > N/A N/A 300 grids1x1 estimate b 26.62 x Unk U1 x unk unk unk XX U1 x U1 N/A knowledge knowledge 300 a 1.20
SK PAN 1271.44 5 = 26 26 N/A grids1x1 estimate b 2.31 = Y U1 = good poor poor U1 U1 = FV knowledge knowledge 1300 b 5.20
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 21359.69 2XP = >> 21359.69 1049.00 4022.00 2535.5 grids1x1 2XP - >> 2XP - 2XP MTX - U1 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 1800 2XP = >> grids1x1 0EQ x >> 0EQ - 0EQ MTX x U2 x nc nc U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 39214 0EQ + ≈ 39214 192 grids1x1 0EQ = > 2XP x good good good 2XP MTX = U1 + gen gen U1 A+

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 177751 2GD - >> grids1x1 2GD x >> 2GD - 2GD MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 4500 0MS = 29 2900 grids1x1 0MS - > 0MS - unk unk unk 0MS MTX - U1 = nc nong U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 25433.44 2XP = > 25433.44 1127.00 1127.00 1127 grids1x1 2XP x 0EQ = 2XP MTX = U1 - nc nong U1 D

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.