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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, Parnassius apollo, 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 202 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 74 grids1x1 minimum N/A N/A N/A N/A
DE 39 39 N/A grids1x1 estimate 30 30 30 localities estimate
ES 92 N/A N/A grids1x1 minimum 92 N/A N/A localities minimum
FR 280 28000 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 12 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 960 grids1x1 estimate N/A N/A N/A N/A
PL 11 17 14 grids1x1 estimate 600 1300 700 i estimate
RO N/A N/A 4100 grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A 55 grids1x1 estimate N/A N/A N/A N/A
SK 101 101 N/A grids1x1 estimate 100 264 N/A i N/A
ES 97 N/A N/A grids1x1 minimum 97 N/A N/A localities minimum
FI N/A N/A 56 grids1x1 minimum N/A N/A N/A N/A
SE 700 900 800 grids1x1 mean 3000 8000 5000 i mean
AT N/A N/A N/A grids1x1 estimate 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 2 grids1x1 estimate N/A N/A N/A N/A
DE 75 100 N/A grids1x1 estimate 28 28 28 localities estimate
FR 71 7100 N/A grids1x1 minimum N/A N/A N/A minimum
IT N/A N/A 53 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 12 grids1x1 estimate N/A N/A N/A N/A
ES 182 N/A N/A grids1x1 minimum 182 N/A N/A localities minimum
FR 138 13800 N/A grids1x1 minimum N/A N/A N/A minimum
GR N/A N/A 7765 grids1x1 estimate 1000 5000 N/A adults estimate
HR N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 114 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 14000 9.25 = > 202 N/A N/A grids1x1 minimum b 1.02 x > Y U1 = poor poor poor U1 U1 = U1 = noChange noChange 8100 b 9.54
BG ALP 13100 8.65 = 13100 N/A N/A 74 grids1x1 minimum c 0.37 = 74 grids1x1 Y FV = poor poor poor U1 U1 = FV method method 4900 c 5.77
DE ALP 1091 0.72 = 39 39 N/A grids1x1 estimate c 0.20 x x localities Y FV = good unk good FV FV = FV noChange noChange 1000 b 1.18
ES ALP 14700 9.71 - 92 N/A N/A grids1x1 minimum c 0.46 - 138 grids1x1 Y U1 - poor poor poor U1 U1 - XX knowledge knowledge 7400 a 8.72
FR ALP 41800 27.62 = 280 28000 N/A grids1x1 minimum b 71.45 = Y FV = poor good good U1 U1 = FV genuine noChange 25900 b 30.51
HR ALP 4600 3.04 = 4600 N/A N/A 12 grids1x1 minimum c 0.06 u x Unk U1 - unk unk unk XX U1 x N/A N/A 2100 c 2.47
IT ALP 53500 35.35 = N/A N/A 960 grids1x1 estimate a 4.85 = Y FV = good good good FV FV = FV noChange noChange 27900 b 32.86
PL ALP 300 0.20 = 11 17 14 grids1x1 estimate a 0.07 = Y FV = good good good FV FV = U1 + genuine noChange 300 a 0.35
RO ALP 4100 2.71 x > N/A N/A 4100 grids1x1 estimate b 20.72 x 12300 grids1x1 Unk U2 x unk unk unk XX U2 x U1 N/A knowledge knowledge 3100 a 3.65
SI ALP 836 0.55 = > N/A N/A 55 grids1x1 estimate a 0.28 - >> N Unk U2 - poor bad poor U2 U2 - U2 - noChange noChange 800 b 0.94
SK ALP 3333.79 2.20 - > 101 101 N/A grids1x1 estimate b 0.51 - > Y U1 - poor poor poor U1 U1 - U1 - N/A N/A 3400 b 4
ES ATL 16000 100 - 97 N/A N/A grids1x1 minimum c 100 - 4850 grids1x1 N Y U1 - poor poor poor U1 U1 - XX knowledge knowledge 8300 a 100
FI BOR 5100 27.87 = > N/A N/A 56 grids1x1 minimum b 6.54 = > N N U1 = poor poor poor U1 U1 = U1 = noChange noChange 2600 a 24.07
SE BOR 13200 72.13 = 23200 700 900 800 grids1x1 mean b 93.46 - 20000 i N N U1 - bad bad bad U2 U2 - U2 - noChange noChange 8200 b 75.93
AT CON N/A 0 - >> N/A N/A N/A grids1x1 estimate a 0 - >> N N U2 - bad bad bad U2 U2 - U2 - noChange noChange 100 b 0.74
BG CON 6700 19.85 = 6700 N/A N/A 16 grids1x1 minimum c 0.33 = 16 grids1x1 Y FV = poor poor poor U1 U1 = FV method method 1200 c 8.82
CZ CON 100 0.30 = >> N/A N/A 2 grids1x1 estimate a 0.04 = >> N N U2 = poor poor poor U1 U2 = U2 = noChange noChange 100 a 0.74
DE CON 2293 6.79 = > 75 100 N/A grids1x1 estimate b 1.80 - 54 localities N N U2 - poor bad bad U2 U2 - U2 = noChange genuine 1800 b 13.24
FR CON 12300 36.44 - > 71 7100 N/A grids1x1 minimum b 73.84 - > N Unk XX - bad bad bad U2 U2 - U2 - noChange noChange 5500 b 40.44
IT CON 11000 32.59 = N/A N/A 53 grids1x1 estimate a 1.09 - > N Y U1 - good poor poor U1 U1 - N/A N/A N/A N/A 3600 b 26.47
RO CON 1100 3.26 x > N/A N/A 1100 grids1x1 estimate b 22.65 x 3300 grids1x1 Unk U2 x unk unk unk XX U2 x N/A N/A knowledge knowledge 1000 a 7.35
SI CON 262 0.78 = >> N/A N/A 12 grids1x1 estimate b 0.25 - >> N Y U1 - bad bad poor U2 U2 - U2 - noChange noChange 300 b 2.21
ES MED 54700 53.78 - 182 N/A N/A grids1x1 minimum c 1.21 - 9100 grids1x1 N N U1 - poor poor poor U1 U1 - XX knowledge knowledge 25000 a 52.85
FR MED 18400 18.09 - 138 13800 N/A grids1x1 minimum b 46.36 - Y U1 - bad bad bad U2 U2 - U1 = noChange noChange 10100 b 21.35
GR MED 16306 16.03 = N/A N/A 7765 grids1x1 estimate c 51.66 - Unk XX x good poor unk U1 U1 - U1 x noChange knowledge 8000 c 16.91
HR MED 1200 1.18 u x N/A N/A 2 grids1x1 minimum c 0.01 u x Unk U1 - poor poor poor U1 U1 x N/A N/A 1000 c 2.11
IT MED 11100 10.91 = N/A N/A 114 grids1x1 estimate a 0.76 - > N N U1 - good poor poor U1 U1 - U1 - noChange noChange 3200 b 6.77
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 BOR 18300 2XP = > 28300 756.00 956.00 856 grids1x1 2XP - > 20000 2XP - 2XP MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 33755 2XP - >> 1329.00 8383.00 4856 grids1x1 2XP - >> 2XP - 2XP MTX - U1 - nong nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 100506 2GD - ≈ 100506 8199.00 21861.00 15030 grids1x1 2GD - > 9100 grids1x1 2GD - poor poor poor 2GD MTX - XX x nong nong XX C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 16000 0MS - ≈ 16000 grids1x1 0MS - 4850 grids1x1 0MS - poor poor poor 0MS MTX - XX x nong nong XX C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ALP 151360.79 2GD = > 151360.79 grids1x1 2GD = > 12512 2GD = 2GD MTX = U1 - nc gen U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ALP 2GD 2GD 2GD U1 - U1 0/2

03/20

National Museum of Natural History, Bulgarian

Institution: National Museum of Natural History, Bulgarian

Member State: BG

National Museum of Natural History, Bulgarian
EU28 CON 2GD 2GD 3GD U1 - U1 0/2

03/20

National Museum of Natural History, Bulgarian

Institution: National Museum of Natural History, Bulgarian

Member State: BG

National Museum of Natural History, Bulgarian
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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.