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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

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, Lopinga achine, 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 211 grids1x1 minimum N/A N/A N/A N/A
DE 123 123 N/A grids1x1 estimate 60 60 60 localities estimate
ES 1 4 N/A grids1x1 minimum 1 N/A N/A localities minimum
FR 31 3100 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 2 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 75 grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 1800 grids1x1 estimate N/A N/A N/A N/A
SI 20 21 N/A grids1x1 minimum N/A N/A N/A N/A
SK 24 24 N/A grids1x1 estimate 4505 50087 N/A i N/A
ES 9 N/A N/A grids1x1 minimum 9 N/A N/A localities minimum
FR 87 8700 N/A grids1x1 minimum N/A N/A N/A minimum
EE 143 500 N/A grids1x1 estimate N/A N/A N/A N/A
FI N/A N/A 53 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 376 grids1x1 estimate N/A N/A N/A N/A
LV N/A N/A 343 grids1x1 estimate N/A N/A N/A N/A
SE 175 250 200 grids1x1 mean 11000 18000 14000 i mean
AT N/A N/A 105 grids1x1 minimum N/A N/A N/A N/A
DE 121 121 121 grids1x1 estimate 57 57 57 localities estimate
FR 134 13400 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 5 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 119 grids1x1 minimum N/A N/A 119 localities minimum
RO N/A N/A 4300 grids1x1 estimate N/A N/A N/A N/A
SI 32 33 N/A grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 1 grids1x1 estimate N/A N/A N/A N/A
CZ N/A N/A 8 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 117 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 700 grids1x1 estimate N/A N/A N/A N/A
SK 7 7 N/A grids1x1 estimate 7807 35911 N/A i N/A
FR 22 2200 N/A grids1x1 minimum N/A N/A N/A minimum
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 5400 12.66 = > N/A N/A 211 grids1x1 minimum b 5.52 x > Unk N U1 - poor poor poor U1 U1 x U1 = noChange knowledge 4600 b 21.90
DE ALP 917 2.15 = 123 123 N/A grids1x1 estimate b 3.22 = 60 localities Y FV = good good good FV FV = FV noChange noChange 700 b 3.33
ES ALP 0.08 0 x 1 4 N/A grids1x1 minimum c 0.07 x 2 grids1x1 Unk U1 x poor poor poor U1 U1 - N/A N/A knowledge knowledge 100 a 0.48
FR ALP 8300 19.46 - 31 3100 N/A grids1x1 minimum b 40.94 x x Y XX x unk unk unk XX U1 x FV noInfo noChange 2400 b 11.43
HR ALP 500 1.17 x x N/A N/A 2 grids1x1 minimum c 0.05 x x Y XX u unk unk unk XX XX N/A N/A 300 c 1.43
IT ALP 20200 47.36 = N/A N/A 75 grids1x1 estimate a 1.96 = Y FV = good good good FV FV = FV noChange noChange 9300 b 44.29
RO ALP 1800 4.22 x > N/A N/A 1800 grids1x1 estimate b 47.08 x Unk U1 x unk unk unk XX U1 x N/A N/A knowledge knowledge 1100 a 5.24
SI ALP 4611 10.81 x x 20 21 N/A grids1x1 minimum b 0.54 x x Y FV x unk unk unk XX XX FV noInfo noInfo 1600 c 7.62
SK ALP 924.78 2.17 - > 24 24 N/A grids1x1 estimate b 0.63 - > Y U1 = poor poor poor U1 U2 - U2 = N/A N/A 900 b 4.29
ES ATL 0.50 0.01 = 9 N/A N/A grids1x1 minimum c 0.20 = 18 grids1x1 N Y U1 = poor poor poor U1 U1 - U1 - knowledge knowledge 1100 a 10.78
FR ATL 8700 99.99 = > 87 8700 N/A grids1x1 minimum c 99.80 x x Unk Unk XX x unk unk unk XX U1 x U1 + noChange noChange 9100 b 89.22
EE BOR 20600 14.62 + 143 500 N/A grids1x1 estimate a 24.86 = Y FV = good good good FV FV + FV noChange noChange 9900 a 29.73
FI BOR 4200 2.98 - > N/A N/A 53 grids1x1 minimum b 4.10 - > Unk U1 u poor poor poor U1 U1 - FV genuine method 3000 b 9.01
LT BOR 51200 36.33 = N/A N/A 376 grids1x1 estimate b 29.07 = Y FV = good good good FV FV = U1 = knowledge knowledge 18100 b 54.35
LV BOR 61736 43.80 = N/A N/A 343 grids1x1 estimate b 26.52 = Y FV = good good good FV FV = FV noChange noChange N/A b 0
SE BOR 3200 2.27 = 6000 175 250 200 grids1x1 mean a 15.46 - 40000 i N N U1 - bad bad bad U2 U2 - U2 - noChange noChange 2300 b 6.91
AT CON 3000 4.20 - > N/A N/A 105 grids1x1 minimum b 0.92 - > N N U1 - poor poor poor U1 U1 - U1 - noChange noChange 2200 b 5.93
DE CON 5791 8.10 = > 121 121 121 grids1x1 estimate b 1.06 = >> localities N N U2 = poor bad bad U2 U2 = U2 = noChange noChange 4000 b 10.78
FR CON 29600 41.40 = 134 13400 N/A grids1x1 minimum b 59.04 u x Unk Unk XX x unk unk unk XX XX x U1 + noInfo noChange 13400 b 36.12
HR CON 5000 6.99 x x N/A N/A 12 grids1x1 minimum c 0.10 x x Y XX u unk unk unk XX XX N/A N/A 2100 c 5.66
IT CON 4700 6.57 = >> N/A N/A 5 grids1x1 estimate a 0.04 - >> Y FV = bad bad good U2 U2 - U2 - noChange noChange 1200 b 3.23
PL CON 14200 19.86 + x N/A N/A 119 grids1x1 minimum b 1.04 + Y FV = good good good FV FV + FV noChange knowledge 9100 b 24.53
RO CON 4300 6.01 x > N/A N/A 4300 grids1x1 estimate b 37.52 x Unk U1 x unk unk unk XX U1 x U1 N/A knowledge knowledge 3300 a 8.89
SI CON 4900 6.85 x x 32 33 N/A grids1x1 minimum b 0.28 x x Unk XX x unk unk unk XX XX U1 - noChange noInfo 1800 c 4.85
HR MED 400 100 x x N/A N/A 1 grids1x1 estimate c 100 x x Y XX u unk unk unk XX XX N/A N/A 200 c 100
CZ PAN 200 4.87 = >> N/A N/A 8 grids1x1 estimate a 0.96 = >> N N U2 - bad bad bad U2 U2 - U2 - noChange noChange 200 a 4.55
HU PAN 3100 75.41 = N/A N/A 117 grids1x1 minimum b 14.06 = > Y U1 = poor poor poor U1 U1 = U1 x noChange knowledge 3600 a 81.82
RO PAN 700 17.03 x > N/A N/A 700 grids1x1 estimate b 84.13 x Unk U1 x unk unk unk XX U1 x N/A N/A knowledge knowledge 500 a 11.36
SK PAN 110.95 2.70 - 7 7 N/A grids1x1 estimate b 0.84 = > Y FV = poor good good FV U2 - U2 = N/A N/A 100 b 2.27
FR MED 4500 0 - 22 2200 N/A grids1x1 minimum b 0 x x Unk Unk XX u unk unk unk XX XX x FV noInfo noChange 1600 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 42652.86 2XP - ≈ 42652.86 2287.00 5360.00 3823.50 grids1x1 2XP x x 2XP - 2XP MTX x U1 = nc nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 8700.5 0EQ = > 8700.5 96.00 8709.00 4402.50 grids1x1 2XP x x 2XP x 2XP MTX x U1 + nc nong U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 140936 2XP = ≈ 143736 1090.00 1522.00 1293.50 grids1x1 2XP = 2XP = 2XP MTX = U1 = nong nc U1 A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 71491 2XP + >> 4828.00 18095.00 11461.50 grids1x1 2XP x >> 2XP x 2XP MTX x U1 - nc nong U1 D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 400 0MS x x grids1x1 0MS x x 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 PAN 4110.95 2XP = > 4110.95 832.00 832.00 832 grids10x10 2XP x > 2XP = 2XP MTX x U1 x nc nc 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.