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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, Leucorrhinia caudalis, All bioregions. Annexes 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 N/A N/A 2 grids1x1 estimate N/A N/A N/A N/A
SK 5 5 N/A grids1x1 estimate 1 1 N/A localities N/A
FR 91 9100 N/A grids1x1 minimum N/A N/A N/A minimum
EE N/A N/A 143 grids1x1 minimum N/A N/A N/A N/A
FI N/A N/A 464 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 104 grids1x1 estimate N/A N/A N/A N/A
LV N/A N/A 93 grids1x1 minimum N/A N/A N/A N/A
SE 2536 3804 3170 grids1x1 estimate N/A N/A N/A N/A
AT N/A N/A 2 grids1x1 estimate N/A N/A N/A N/A
CZ N/A N/A 4 grids1x1 estimate N/A N/A N/A N/A
DE 1000 5000 2500 grids1x1 estimate 248 291 269.50 localities estimate
FR 82 8200 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 1 grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 3 grids1x1 estimate N/A N/A N/A N/A
PL 300 500 N/A grids1x1 estimate N/A N/A N/A N/A
SE 33 49 41 grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A 1 grids1x1 estimate 2 3 N/A localities estimate
HU N/A N/A 11 grids1x1 minimum N/A N/A N/A N/A
SK 5 5 N/A grids1x1 estimate 1 1 N/A localities N/A
BE N/A N/A 8 grids1x1 estimate 10 25 N/A i estimate
DE 100 500 200 grids1x1 estimate 23 24 23.50 localities estimate
NL N/A N/A N/A N/A N/A N/A N/A
BE 6 13 6 grids1x1 minimum 20 200 100 adults estimate
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 100 34.27 = >> N/A N/A 2 grids1x1 estimate b 28.57 x >> Unk Unk XX x unk unk unk XX U2 x U2 x noChange noChange 100 b 50
SK ALP 191.83 65.73 = > 5 5 N/A grids1x1 estimate b 71.43 x > N Y U1 = poor poor poor U1 U2 = N/A N/A N/A N/A 100 b 50
FR ATL 9100 100 + 91 9100 N/A grids1x1 minimum b 100 x x Y U1 - unk unk unk XX U1 x U1 = noChange noChange 9400 b 100
EE BOR 14300 3.82 = N/A N/A 143 grids1x1 minimum b 3.60 = Y FV = good unk good FV FV = FV noChange noChange 6600 a 11.06
FI BOR 72000 19.25 = N/A N/A 464 grids1x1 minimum b 11.68 = Y FV = good good good FV FV = FV noChange method 26400 b 44.22
LT BOR 35800 9.57 = N/A N/A 104 grids1x1 estimate b 2.62 = > Y FV = good good good FV FV = XX knowledge knowledge 9000 b 15.08
LV BOR 63694 17.03 + x N/A N/A 93 grids1x1 minimum b 2.34 x > Unk U1 x good unk unk XX U1 x U2 x knowledge noChange N/A b 0
SE BOR 188300 50.33 = 188300 2536 3804 3170 grids1x1 estimate a 79.77 = 3200 grids1x1 Y FV = good good good FV FV = FV noChange noChange 17700 b 29.65
AT CON 200 0.22 + >> N/A N/A 2 grids1x1 estimate b 0.03 x >> N Unk U1 x unk unk unk XX U2 x U2 x method method 200 b 0.67
CZ CON 200 0.22 + >> N/A N/A 4 grids1x1 estimate a 0.06 + >> N Y U2 + unk unk unk XX U2 + N/A N/A genuine genuine 200 a 0.67
DE CON 39362 42.63 + 1000 5000 2500 grids1x1 estimate c 35.25 + > localities N Y U1 + poor poor poor U1 U1 + U1 + noChange noChange 13800 b 46
FR CON 23500 25.45 = 82 8200 N/A grids1x1 minimum b 58.38 = Y Unk FV = good good unk FV FV = U1 = noChange noChange 7600 b 25.33
HR CON 300 0.32 x x N/A N/A 1 grids1x1 estimate c 0.01 x 1 grids1x1 Unk XX x unk unk unk XX XX N/A noChange noChange 100 c 0.33
LU CON 100 0.11 = 100 N/A N/A 3 grids1x1 estimate a 0.04 = 4 grids1x1 Y FV = good unk good FV FV = U1 x method knowledge 100 a 0.33
PL CON 12300 13.32 = 300 500 N/A grids1x1 estimate b 5.64 = Y FV = good good good FV FV = FV noChange noChange 6700 b 22.33
SE CON 16300 17.65 = 16300 33 49 41 grids1x1 estimate a 0.58 = 40 grids1x1 Y FV = good good good FV FV = FV noChange noChange 1200 b 4
SI CON 70 0.08 - >> N/A N/A 1 grids1x1 estimate b 0.01 - >> N N U2 - bad bad bad U2 U2 - U2 - noChange noChange 100 b 0.33
HU PAN 1048 91.29 u > N/A N/A 11 grids1x1 minimum b 68.75 - > N Unk U1 - poor poor bad U2 U2 - U1 - genuine noChange 500 b 62.50
SK PAN 100 8.71 = > 5 5 N/A grids1x1 estimate b 31.25 = > N Y FV x poor poor poor U1 U1 = N/A N/A N/A N/A 300 b 37.50
BE ATL 1100 0 + >> N/A N/A 8 grids1x1 estimate a 0 u >> N N U1 = poor bad good U2 U2 = N/A N/A genuine genuine 600 a 0
DE ATL 3787 0 u x 100 500 200 grids1x1 estimate c 0 = x localities Unk XX u unk unk unk XX XX x XX noChange noChange 2200 b 0
NL ATL N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 0
BE CON 400 0 + >> 6 13 6 grids1x1 minimum b 0 + >> N N U2 x unk unk unk XX U2 + U2 + noChange noChange 400 a 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 291.83 0EQ = >> 7 7 7 grids1x1 0EQ x >> grids1x1 2XP x 2XP MTX x U2 x nc nc U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 9100 0MS + ≈ 9100 91 9100 4595.5 grids1x1 0MS x x 0MS - unk unk unk 0MS MTX x U1 = nc nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 374094 0EQ + 3340 4608 3974 grids1x1 1 = > 2XP = 2XP MTX = FV = nc nc FV A=

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 92332 1 + < 92379 1426 13760 7093 grids1x1 2XP + 2XP + 2XP MTX + U1 + nc nc U2 B1

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 1148 0EQ x > 16 16 16 grids1x1 0EQ - > 2XP - poor poor 2XP MTX - U1 - gen nc U1 C

12/19

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.