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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 UK, 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, Maculinea arion, 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 223 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 28 grids1x1 minimum N/A N/A N/A N/A
DE 251 251 N/A grids1x1 estimate 80 80 80 grids5x5 estimate
ES 65 N/A N/A grids1x1 minimum 65 N/A N/A localities minimum
FR 210 21000 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 11 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 211 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 13 grids1x1 minimum N/A N/A 10 localities minimum
RO N/A N/A 7000 grids1x1 estimate N/A N/A N/A N/A
SI 28 32 N/A grids1x1 minimum N/A N/A N/A N/A
SK 151 151 N/A grids1x1 estimate 3750 35794 N/A i N/A
ES 78 N/A N/A grids1x1 minimum 78 N/A N/A localities minimum
FR 384 38400 N/A grids1x1 minimum N/A N/A N/A minimum
UK N/A N/A 28 grids1x1 estimate N/A N/A 33 colonies estimate
BG N/A N/A 7 grids1x1 minimum N/A N/A N/A N/A
EE 15 26 N/A grids1x1 estimate N/A N/A N/A N/A
FI N/A N/A 17 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 50 grids1x1 estimate N/A N/A N/A N/A
LV N/A N/A 30 grids1x1 estimate N/A N/A N/A N/A
SE 525 750 625 grids1x1 mean 5000 9000 7000 i mean
AT 43 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BE 3 10 3 grids1x1 minimum 3 30 10 adults estimate
BG N/A N/A 30 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 141 grids1x1 estimate N/A N/A N/A N/A
DE 410 1190 N/A grids1x1 estimate 340 340 340 grids5x5 estimate
DK N/A N/A N/A estimate N/A N/A 2 localities N/A
FR 297 29700 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 23 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 108 grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 38 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 65 grids1x1 minimum N/A N/A 50 localities minimum
RO N/A N/A 10800 grids1x1 estimate N/A N/A N/A N/A
SE 200 275 225 grids1x1 mean 2500 3500 3000 i mean
SI 79 83 N/A grids1x1 minimum N/A N/A N/A N/A
ES 77 N/A N/A grids1x1 minimum 77 N/A N/A localities minimum
FR 191 19100 N/A grids1x1 minimum N/A N/A N/A minimum
GR N/A N/A 6619 grids1x1 estimate 500 1000 N/A adults estimate
IT N/A N/A 110 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 116 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 53 53 N/A grids1x1 estimate 36144 391545 N/A i N/A
RO N/A N/A 1000 grids1x1 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 12400 8.98 = > 223 N/A N/A grids1x1 minimum b 1.20 x > Y U1 - poor poor poor U1 U1 x U1 = noChange N/A 10200 b 14.72
BG ALP 9700 7.03 = 9700 N/A N/A 28 grids1x1 minimum c 0.15 = 28 grids1x1 Y FV = unk unk unk XX FV = FV method method 1900 c 2.74
DE ALP 3392 2.46 = 251 251 N/A grids1x1 estimate b 1.35 = grids5x5 Y FV = good good good FV FV = FV noChange noChange 4000 b 5.77
ES ALP 13300 9.64 - 26600 65 N/A N/A grids1x1 minimum c 0.35 - 3250 grids1x1 N Y U1 - poor poor poor U1 U2 - XX knowledge knowledge 6500 a 9.38
FR ALP 36800 26.66 = 210 21000 N/A grids1x1 minimum b 57.05 = Y FV = good good good FV FV = FV noChange noChange 17400 b 25.11
HR ALP 1100 0.80 x x N/A N/A 11 grids1x1 minimum c 0.06 x x Unk XX x unk unk unk XX XX N/A N/A 700 d 1.01
IT ALP 40200 29.13 = N/A N/A 211 grids1x1 estimate a 1.14 = Y FV = good good good FV FV = FV noChange noChange 13300 c 19.19
PL ALP 4000 2.90 x x N/A N/A 13 grids1x1 minimum b 0.07 u > Unk XX u unk poor poor U1 U1 x U2 - method method 2100 b 3.03
RO ALP 7000 5.07 = > N/A N/A 7000 grids1x1 estimate b 37.66 = Y U1 = unk unk unk XX U1 = N/A N/A knowledge knowledge 4800 a 6.93
SI ALP 3063 2.22 = > 28 32 N/A grids1x1 minimum b 0.16 x > Y U1 - poor poor poor U1 U1 x U1 - noChange noInfo 1400 b 2.02
SK ALP 7054.28 5.11 = 151 151 N/A grids1x1 estimate b 0.81 = Y U1 - good poor poor U1 U1 - U1 - N/A N/A 7000 b 10.10
ES ATL 15400 13.99 - 30800 78 N/A N/A grids1x1 minimum c 0.40 - 3900 grids1x1 N Y U1 - poor poor poor U1 U2 - XX knowledge knowledge 5000 a 10.50
FR ATL 94000 85.38 = > 384 38400 N/A grids1x1 minimum b 99.46 - x Unk Unk U1 x unk unk unk XX U1 x U1 = noChange noChange 42000 b 88.24
UK ATL 700 0.64 + N/A N/A 28 grids1x1 estimate a 0.14 + 20 colonies Y FV + good good good FV FV + U1 + genuine noChange 600 a 1.26
BG BLS 1200 100 u 1200 N/A N/A 7 grids1x1 minimum c 100 u 7 grids1x1 Y FV = good unk good FV XX x FV method method 600 c 100
EE BOR 3600 6.08 - >> 15 26 N/A grids1x1 estimate a 2.76 - >> N N U2 - bad bad bad U2 U2 - U2 - method noChange 2000 a 11.63
FI BOR 900 1.52 = >> N/A N/A 17 grids1x1 minimum b 2.29 = >> N N U2 = bad bad bad U2 U2 = U2 = noChange noChange 900 a 5.23
LT BOR 18777 31.72 - > N/A N/A 50 grids1x1 estimate b 6.73 - >> N Unk U1 - poor poor poor U1 U2 - U1 = knowledge knowledge 6500 b 37.79
LV BOR 23614 39.89 = 23614 N/A N/A 30 grids1x1 estimate c 4.04 = 30 grids1x1 Y FV = good good good FV FV = U1 = knowledge knowledge N/A b 0
SE BOR 12300 20.78 = 16300 525 750 625 grids1x1 mean b 84.18 - 16000 i N N U1 - poor bad poor U2 U2 - U2 - noChange noChange 7800 b 45.35
AT CON 3300 1.56 - > 43 N/A N/A grids1x1 minimum b 0.16 x > Y U1 - poor poor poor U1 U1 - U1 - noChange noChange 2700 b 2.91
BE CON 300 0.14 + >> 3 10 3 grids1x1 minimum b 0.01 + >> N Y U1 + bad bad good U2 U2 + U2 x noChange noChange 300 a 0.32
BG CON 9100 4.31 u 9100 N/A N/A 30 grids1x1 minimum c 0.11 = 30 grids1x1 Unk XX x unk unk unk XX XX x FV method method 2400 c 2.58
CZ CON 7100 3.36 - >> N/A N/A 141 grids1x1 estimate a 0.52 - >> N N U2 - poor bad poor U2 U2 - U2 - noChange noChange 3700 a 3.98
DE CON 35813 16.96 - > 410 1190 N/A grids1x1 estimate b 2.92 - >> grids5x5 N N U2 - poor bad bad U2 U2 - U2 - noChange noChange 23600 b 25.40
DK CON 37 0.02 = >> N/A N/A N/A estimate b 0 - >> N N U2 = bad bad bad U2 U2 - U2 = noChange noChange 100 b 0.11
FR CON 81800 38.73 - 297 29700 N/A grids1x1 minimum b 54.83 - > N Unk U2 - unk unk unk XX U2 - U1 x noChange noChange 25700 b 27.66
HR CON 2800 1.33 x x N/A N/A 23 grids1x1 minimum c 0.08 x x Unk XX x unk unk unk XX XX N/A N/A 1800 d 1.94
IT CON 27400 12.97 = N/A N/A 108 grids1x1 estimate a 0.39 - > N Y U1 - good poor poor U1 U1 - U1 - noChange noChange 9000 c 9.69
LU CON 1300 0.62 = 3200 N/A N/A 38 grids1x1 estimate b 0.14 = 310 grids1x1 N N U2 = bad unk poor U2 U2 = U2 x noChange knowledge 200 b 0.22
PL CON 21900 10.37 u > N/A N/A 65 grids1x1 minimum b 0.24 u > N Unk U1 u unk poor poor U1 U1 x U2 - knowledge knowledge 11100 b 11.95
RO CON 10800 5.11 = > N/A N/A 10800 grids1x1 estimate b 39.48 = Unk U1 = unk unk unk XX U1 = N/A N/A knowledge knowledge 7300 a 7.86
SE CON 4200 1.99 = 5500 200 275 225 grids1x1 mean b 0.82 - 10000 i N N U1 - bad bad poor U2 U2 - U2 - noChange noChange 2600 b 2.80
SI CON 5370 2.54 - >> 79 83 N/A grids1x1 minimum b 0.30 - > Y U1 - poor bad poor U2 U2 - U1 - genuine noChange 2400 b 2.58
ES MED 29400 24.04 - 58800 77 N/A N/A grids1x1 minimum c 0.47 - 3850 grids1x1 N Y U1 - poor poor poor U1 U2 - XX knowledge knowledge 9100 a 22.81
FR MED 37100 30.34 = 191 19100 N/A grids1x1 minimum b 58.63 - > Unk Unk U1 - unk poor poor U1 U1 - U1 = noChange noChange 16100 b 40.35
GR MED 19298 15.78 = N/A N/A 6619 grids1x1 estimate c 40.23 = > Unk XX x good poor unk U1 U1 = U1 = noChange noChange 6800 c 17.04
IT MED 36500 29.85 = N/A N/A 110 grids1x1 estimate a 0.67 - > Y FV = good poor good FV U1 - U1 - noChange noChange 7900 c 19.80
HU PAN 9206 82.93 u > N/A N/A 116 grids1x1 minimum b 24.73 u >> N Y U1 u poor bad poor U2 U2 x U2 - noChange knowledge 7400 b 77.08
RO PAN 300 2.70 x > N/A N/A 300 grids1x1 estimate b 63.97 x Unk XX x unk unk unk XX XX N/A N/A knowledge knowledge 200 a 2.08
SK PAN 1594.70 14.37 = 53 53 N/A grids1x1 estimate b 11.30 = Y U1 - good poor poor U1 U1 - U2 - knowledge N/A 2000 b 20.83
RO STE 1000 100 x > N/A N/A 1000 grids1x1 estimate b 100 x Unk XX x unk unk unk XX XX N/A N/A knowledge knowledge 800 a 100
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 138009.28 2XP = > 151309.28 8191.00 28985.00 18588 grids1x1 2XP = 2XP - 2XP MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 110100 2XP = > 125500 490.00 38506.00 19498 grids1x1 2XP - x 2XP x 2XP MTX x U1 = nc nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 1200 0MS x 1200 7 grids1x1 0MS x 7 grids1x1 0MS = good unk good 0MS MTX x FV = nong nong FV D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 59191 2XP - >> 63191 637.00 873.00 742.50 grids1x1 2XP - >> 2XP - 2XP MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 211220 2XP - >> 214420 12237.00 42506.00 27355.50 grids1x1 2XP - >> 2XP - 2XP MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 122298 2XP = ≈ 151698 6997.00 25906.00 16451.50 grids1x1 2XP - > 3850 2XP - 2XP MTX - XX - nong nc XX C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 11100.7 2XP x > 11100.7 grids1x1 2XP x >> 2XP x 2XP MTX x U2 - nong nong U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 1000 0MS x > 100 1000 grids1x1 0MS x 0MS x unk unk unk 0MS MTX x XX x nc nc D

03/20

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.