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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 FI, 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, Euphydryas aurinia, All bioregions. Annexes Y, N, 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 212 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 6 grids1x1 minimum N/A N/A N/A N/A
DE 123 123 N/A grids1x1 estimate 46 46 46 grids5x5 estimate
ES 36 N/A N/A grids1x1 minimum 36 N/A N/A localities minimum
FR 172 17200 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 33 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 129 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 2 grids1x1 minimum N/A N/A 1 localities minimum
RO N/A N/A 2100 grids1x1 estimate N/A N/A N/A N/A
SI 95 106 N/A grids1x1 minimum N/A N/A N/A N/A
DE 4 4 4 grids1x1 interval 4 4 4 grids5x5 interval
ES 200 N/A N/A grids1x1 minimum 200 N/A N/A localities minimum
FR 380 38000 N/A grids1x1 minimum N/A N/A N/A minimum
IE N/A N/A 705 grids1x1 minimum N/A N/A N/A N/A
PT N/A N/A 32 grids1x1 minimum N/A N/A N/A N/A
UK N/A N/A 1352 grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 9 grids1x1 minimum N/A N/A N/A N/A
EE 96 200 N/A grids1x1 estimate N/A N/A N/A N/A
FI N/A N/A 20 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 168 grids1x1 estimate N/A N/A N/A N/A
LV N/A N/A 97 grids1x1 estimate N/A N/A N/A N/A
SE 500 650 550 grids1x1 mean 5000 10000 7000 colonies mean
AT N/A N/A 28 grids1x1 minimum N/A N/A N/A N/A
BE 20 110 20 grids1x1 minimum 500 2000 1000 adults estimate
BG N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 92 grids1x1 estimate N/A N/A N/A N/A
DE 480 1303 N/A grids1x1 estimate 223 226 224.50 grids5x5 estimate
DK N/A N/A N/A estimate N/A N/A 78 localities N/A
FR 340 34000 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 38 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 50 grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 4 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 100 grids1x1 minimum N/A N/A 80 localities minimum
RO N/A N/A 4100 grids1x1 estimate N/A N/A N/A N/A
SI 345 356 N/A grids1x1 minimum N/A N/A N/A N/A
ES 557 N/A N/A grids1x1 minimum 557 N/A N/A localities minimum
FR 302 30200 N/A grids1x1 minimum N/A N/A N/A minimum
GR N/A N/A 2832 grids1x1 estimate 500 1000 N/A adults estimate
HR N/A N/A 30 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 76 grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A 151 grids1x1 minimum N/A N/A N/A N/A
HU N/A N/A 32 grids1x1 minimum N/A N/A N/A N/A
DK N/A N/A N/A estimate N/A N/A 1 localities N/A
SE 20 35 25 grids1x1 mean 150 300 200 colonies mean
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 14100 11.10 = > N/A N/A 212 grids1x1 minimum b 1.86 x > Unk N U1 - poor poor poor U1 U1 x U1 = noChange noInfo 7200 b 14.94
BG ALP 5300 4.17 u 5300 N/A N/A 6 grids1x1 minimum c 0.05 u 6 grids1x1 Y FV = good unk good FV XX FV method method 1800 c 3.73
DE ALP 1855 1.46 = 123 123 N/A grids1x1 estimate b 1.08 = grids5x5 Y FV = good good good FV FV = FV noChange noChange 1700 a 3.53
ES ALP 13300 10.47 = 26600 36 N/A N/A grids1x1 minimum b 0.32 = 1800 grids1x1 Y FV = good unk good FV U2 = FV knowledge knowledge 3800 a 7.88
FR ALP 34900 27.47 = 172 17200 N/A grids1x1 minimum b 76.01 = Y FV = good unk unk XX FV = FV noChange noChange 14200 b 29.46
HR ALP 5100 4.01 u x N/A N/A 33 grids1x1 minimum c 0.29 u x Unk U1 - unk unk unk XX U1 x N/A N/A 2600 d 5.39
IT ALP 43600 34.32 = N/A N/A 129 grids1x1 estimate a 1.13 = Y FV = good good good FV FV = FV noChange noChange 11900 b 24.69
PL ALP 200 0.16 = x N/A N/A 2 grids1x1 minimum b 0.02 = x Unk XX x unk unk unk XX XX U1 x method noChange 200 b 0.41
RO ALP 2100 1.65 u > N/A N/A 2100 grids1x1 estimate b 18.38 u Unk FV u good good good FV FV x U1 N/A knowledge knowledge 1000 a 2.07
SI ALP 6579 5.18 = > 95 106 N/A grids1x1 minimum b 0.88 - > Y U1 - poor poor poor U1 U1 - U1 - noChange noChange 3800 b 7.88
DE ATL 551 0.21 + x 4 4 4 grids1x1 interval a 0.02 + x grids5x5 Unk XX + unk unk unk XX XX + N/A N/A genuine genuine 400 a 0.32
ES ATL 44000 16.78 = 88000 200 N/A N/A grids1x1 minimum c 0.93 = 10000 grids1x1 Y FV = good unk good FV U2 = FV knowledge knowledge 20900 a 16.55
FR ATL 112600 42.93 = > 380 38000 N/A grids1x1 minimum b 89.33 - Y U1 - poor poor bad U2 U2 - U2 = noChange noChange 43100 b 34.13
IE ATL 51400 19.60 + 51400 N/A N/A 705 grids1x1 minimum c 3.28 + x Y FV = poor poor poor U1 U1 + U1 - noChange genuine 30700 a 24.31
PT ATL 6200 2.36 = x N/A N/A 32 grids1x1 minimum b 0.15 u x Y XX u good unk unk XX XX XX noChange noChange 3000 b 2.38
UK ATL 47514.49 18.12 = N/A N/A 1352 grids1x1 estimate b 6.29 = < N N U1 = poor poor poor U1 U1 = U1 = noChange noChange 28200 c 22.33
BG BLS 2900 100 u 2900 N/A N/A 9 grids1x1 minimum c 100 u 9 grids1x1 Y FV = good unk good FV XX x FV method method 1000 c 100
EE BOR 19500 15.48 + 96 200 N/A grids1x1 estimate a 15.06 = Y FV = good good good FV FV + FV noChange noChange 8000 a 26.85
FI BOR 2300 1.83 - >> N/A N/A 20 grids1x1 minimum b 2.03 - >> N N U2 - bad bad bad U2 U2 - U1 - genuine noChange 1200 a 4.03
LT BOR 34800 27.62 = N/A N/A 168 grids1x1 estimate b 17.09 - > N Unk U1 - good poor poor U1 U1 - U1 x knowledge knowledge 11500 b 38.59
LV BOR 47981 38.09 = 47981 N/A N/A 97 grids1x1 estimate b 9.87 u 97 grids1x1 Unk U1 = good poor poor U1 U1 = U1 x noChange noChange N/A b 0
SE BOR 21400 16.99 = 23700 500 650 550 grids1x1 mean b 55.95 - 15000 colonies N N U1 - poor bad bad U2 U2 - U2 - noChange noChange 9100 b 30.54
AT CON 1300 0.60 = > N/A N/A 28 grids1x1 minimum b 0.12 - > N N U1 - poor poor poor U1 U1 - U1 - noChange noChange 1100 b 1.34
BE CON 734 0.34 - >> 20 110 20 grids1x1 minimum b 0.09 - >> N N U1 + bad bad poor U2 U2 - U2 - noChange noChange 700 a 0.85
BG CON 4300 1.99 u 4300 N/A N/A 5 grids1x1 minimum c 0.02 u 5 grids1x1 Unk XX x unk unk unk XX XX x FV method method 1700 c 2.07
CZ CON 2800 1.29 = > N/A N/A 92 grids1x1 estimate a 0.40 + > Y FV = good poor good U1 U1 + U2 - genuine genuine 1900 a 2.31
DE CON 17879 8.26 - 34317 480 1303 N/A grids1x1 estimate b 3.90 - 348 grids5x5 N N U2 - bad bad bad U2 U2 - U2 - noChange noChange 13800 a 16.77
DK CON 2212 1.02 + > N/A N/A N/A estimate b 0 + > N Y U1 + poor poor good U1 U1 + U1 + N/A N/A 1300 b 1.58
FR CON 129600 59.86 - 340 34000 N/A grids1x1 minimum d 75.15 x x Y U1 - poor unk poor U1 U1 - U1 = noChange noChange 32600 b 39.61
HR CON 8500 3.93 u x N/A N/A 38 grids1x1 minimum c 0.17 u x Unk U1 - unk unk unk XX U1 x N/A N/A 3600 d 4.37
IT CON 21500 9.93 = N/A N/A 50 grids1x1 estimate a 0.22 - > N N U2 - good bad bad U2 U2 - U2 - genuine genuine 5400 b 6.56
LU CON 400 0.18 - 2900 N/A N/A 4 grids1x1 estimate b 0.02 - 54 grids1x1 N N U2 - bad bad bad U2 U2 - U2 - noChange genuine 300 b 0.36
PL CON 13400 6.19 u > N/A N/A 100 grids1x1 minimum b 0.44 u > Unk U1 - unk poor poor U1 U1 x U1 - noChange method 9200 b 11.18
RO CON 4100 1.89 u > N/A N/A 4100 grids1x1 estimate b 17.94 u Unk FV u good good good FV FV x U1 N/A knowledge knowledge 3100 a 3.77
SI CON 9778 4.52 - > 345 356 N/A grids1x1 minimum b 1.53 - > Y U1 - poor poor poor U1 U1 - U1 - noChange noChange 7600 b 9.23
ES MED 140700 52.02 = 281400 557 N/A N/A grids1x1 minimum b 2.95 = 27850 grids1x1 Y FV = good unk good FV U2 = FV knowledge knowledge 58800 a 47.92
FR MED 57500 21.26 = 302 30200 N/A grids1x1 minimum d 80.71 x x Y U1 - good unk unk XX U1 x FV noChange noChange 30200 b 24.61
GR MED 5754 2.13 = N/A N/A 2832 grids1x1 estimate c 14.99 = > Unk XX x good poor unk FV U1 = U1 = noChange noChange 3000 c 2.44
HR MED 500 0.18 u x N/A N/A 30 grids1x1 minimum c 0.16 u x Unk U1 - unk unk unk XX U1 x N/A N/A 2000 d 1.63
IT MED 26000 9.61 = N/A N/A 76 grids1x1 estimate a 0.40 = Y FV = good good good FV FV = FV noChange noChange 7600 b 6.19
PT MED 40000 14.79 = x N/A N/A 151 grids1x1 minimum b 0.80 u x Y XX u good unk unk XX XX XX noChange noChange 21100 b 17.20
HU PAN 4948 100 = N/A N/A 32 grids1x1 minimum b 100 u > Y U1 u poor poor poor U1 U1 x U1 x noChange noChange 3200 a 100
DK ATL 59 0 + >> N/A N/A N/A estimate b 0 + >> N Y FV = poor bad good U2 U2 + U2 x N/A N/A 100 b 0
SE CON 400 0 N N/ 20 35 25 grids1x1 mean b 0 N N/ N/A N N/A N/A N/A N/A N/A N/A FV N/A N/A 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 127034 2XP = 11427.50 11427.50 11427.50 grids1x1 2XP = 2XP - 2XP MTX = FV = nc nc FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 262265.49000 2XP = 306265.49 40293.00 40293.00 21483 grids1x1 2XP - 2XP - 2XP MTX - U1 - nong nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 2900 0MS x 2900 9 grids1x1 0MS x 9 grids1x1 0MS = good unk good 0MS MTX x FV = nong nong FV D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 125981 2XP = ≈ 128281 881.00 1135.00 983 grids1x1 2XP - 2XP - 2XP MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 216503 2XP - > 602.00 40186.00 22849 grids1x1 2XP x x 2XP - 2XP MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 270454 2GD = ≈ 411154 grids1x1 2GD x > 27850 grids1x1 2GD - 2GD MTX x FV = nong nong XX D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 4948 0MS = 32 grids1x1 0MS x > 0MS x poor poor poor 0MS MTX x U1 x nc nc U1 D

01/20

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.