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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 LV

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, Other invertebrates, Hirudo medicinalis, All bioregions. Annexes N, N, Y. Show all Other invertebrates
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 2 2 N/A grids1x1 minimum N/A N/A N/A N/A
DE N/A N/A N/A grids1x1 minimum 1 1 1 grids5x5 minimum
FR N/A N/A 13 grids1x1 minimum N/A N/A N/A minimum
SI 2 3 N/A grids1x1 minimum N/A N/A N/A N/A
BE 5 N/A 5 grids1x1 minimum N/A N/A N/A N/A
DE 11 14 12.50 grids1x1 estimate 11 14 12.50 grids5x5 estimate
ES 4 400 N/A grids1x1 estimate 3 N/A N/A localities minimum
FR N/A N/A 100 grids1x1 minimum N/A N/A N/A minimum
NL N/A N/A 33 grids1x1 estimate 1911 31941 8918 i estimate
UK N/A N/A 29 grids1x1 estimate N/A N/A N/A N/A
EE N/A N/A 94 grids1x1 minimum N/A N/A N/A N/A
FI N/A N/A 8 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 93 grids1x1 minimum N/A N/A N/A N/A
LV N/A N/A 10 grids1x1 minimum N/A N/A N/A N/A
SE 150 200 175 grids1x1 estimate N/A N/A N/A N/A
AT 2 2 2 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 8 grids1x1 estimate N/A N/A N/A grids10x10 N/A
DE 699 699 699 grids1x1 estimate 78 149 113.50 grids5x5 estimate
DK N/A N/A N/A N/A N/A N/A N/A
FR N/A N/A 67 grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 4 grids1x1 minimum N/A N/A 4 localities minimum
LU 9 N/A N/A grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 114 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 100 grids1x1 estimate N/A N/A N/A N/A
SE 70 100 85 grids1x1 estimate N/A N/A N/A N/A
SI 24 25 N/A grids1x1 minimum N/A N/A N/A N/A
ES 14 1400 N/A grids1x1 estimate 5 N/A N/A localities minimum
CZ N/A N/A 17 grids1x1 estimate N/A N/A N/A estimate
HU N/A N/A 58 grids1x1 minimum N/A N/A N/A N/A
SK 47 47 N/A grids1x1 estimate 100 5000 N/A i N/A
DK N/A N/A N/A 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 200 45.44 x x 2 2 N/A grids1x1 minimum d 11.43 x x Unk Unk XX x unk unk unk XX XX XX noChange noChange 200 d 28.57
DE ALP N/A 0 x x N/A N/A N/A grids1x1 minimum c 0 x x grids5x5 Unk XX x unk unk unk XX XX x XX noChange noChange N/A d 0
FR ALP 0.10 0.02 x x N/A N/A 13 grids1x1 minimum d 74.29 x > Unk Unk XX x good unk good FV U1 x N/A N/A noChange noChange 200 b 28.57
SI ALP 240 54.53 - > 2 3 N/A grids1x1 minimum b 14.29 - > N Y U1 - poor poor poor U1 U1 - XX method method 300 c 42.86
BE ATL 200 3.46 x x 5 N/A 5 grids1x1 minimum c 1.31 x x Unk Unk XX x unk unk unk XX XX XX noChange noChange 200 b 1.90
DE ATL 905 15.66 x x 11 14 12.50 grids1x1 estimate c 3.28 x x grids5x5 N Unk XX x unk unk unk XX XX x XX noChange noChange 700 d 6.67
ES ATL 400 6.92 = 4 400 N/A grids1x1 estimate b 52.95 u 400 grids1x1 N N XX - poor bad bad U2 U2 - U1 - knowledge noChange 300 a 2.86
FR ATL 28 0.48 = > N/A N/A 100 grids1x1 minimum d 26.21 x > Unk Unk XX x good unk unk XX U1 x XX noChange noChange 5700 b 54.29
NL ATL 2000 34.61 + N/A N/A 33 grids1x1 estimate a 8.65 = Y U1 - poor poor poor U1 U1 = XX knowledge noInfo 1800 a 17.14
UK ATL 2245.41 38.86 = 2163 N/A N/A 29 grids1x1 estimate b 7.60 = Unk Y FV + good good unk FV FV + U1 = noInfo genuine 1800 c 17.14
EE BOR 5000 5.83 = N/A N/A 94 grids1x1 minimum a 24.74 u N Unk U1 = good good poor U1 U1 = U1 = noChange noChange 3100 a 24.41
FI BOR 1400 1.63 = N/A N/A 8 grids1x1 minimum c 2.11 x x Unk XX x good unk unk XX XX XX noChange noChange 800 a 6.30
LT BOR 33031 38.51 - N/A N/A 93 grids1x1 minimum c 24.47 - x Unk XX - unk unk unk XX XX U1 = noInfo noInfo 1700 d 13.39
LV BOR 21447 25 x > N/A N/A 10 grids1x1 minimum c 2.63 x 10 grids1x1 Y FV x unk unk good XX XX U1 x noInfo noInfo N/A c 0
SE BOR 24900 29.03 = 24900 150 200 175 grids1x1 estimate c 46.05 u 200 grids1x1 Unk Unk U1 u good unk poor U1 U1 x U1 = knowledge noChange 7100 b 55.91
AT CON 200 0.39 x x 2 2 2 grids1x1 minimum d 0.18 x x Unk Unk XX x unk unk unk XX XX XX noChange noChange 200 d 0.73
CZ CON 1700 3.29 = N/A N/A 8 grids1x1 estimate a 0.72 = > Y FV = good good poor U1 U1 = U1 x knowledge knowledge 600 a 2.18
DE CON 11370 21.99 x x 699 699 699 grids1x1 estimate d 62.83 x x grids5x5 Unk XX x unk unk unk XX XX x XX noChange noChange 7200 d 26.18
DK CON N/A 0 x x N/A N/A N/A d 0 x x Unk Unk XX x unk unk unk XX XX x XX N/A N/A N/A d 0
FR CON 29.60 0.06 = > N/A N/A 67 grids1x1 minimum d 6.02 x > Unk Unk XX x good unk unk XX U1 x N/A N/A noChange noChange 1800 b 6.55
HR CON 600 1.16 x x N/A N/A 4 grids1x1 minimum c 0.36 x x Unk XX x unk unk unk XX XX N/A N/A 400 d 1.45
LU CON 1200 2.32 = 2600 9 N/A N/A grids1x1 minimum c 0.81 = 21 grids1x1 N N U2 + bad bad poor U2 U2 + U2 x noChange knowledge 700 b 2.55
PL CON 21700 41.97 = N/A N/A 114 grids1x1 minimum b 10.25 u > Y U1 - good poor poor U1 U1 x U1 x knowledge knowledge 11500 b 41.82
RO CON 100 0.19 - > N/A N/A 100 grids1x1 estimate b 8.99 - 300 grids1x1 N Unk U1 - bad poor poor U2 U2 - N/A N/A knowledge knowledge 100 a 0.36
SE CON 12100 23.40 = 12100 70 100 85 grids1x1 estimate c 7.64 u 100 grids1x1 Unk Unk U1 u good poor poor U1 U1 x U1 = knowledge noChange 3500 b 12.73
SI CON 2707 5.24 - > 24 25 N/A grids1x1 minimum b 2.20 - > N Y U1 - poor poor poor U1 U1 - N/A N/A method method 1500 c 5.45
ES MED 1800 100 = 14 1400 N/A grids1x1 estimate a 100 u 1400 grids1x1 N N U2 - poor bad bad U2 U2 - U1 - knowledge noChange 1600 a 100
CZ PAN 1600 23.44 = > N/A N/A 17 grids1x1 estimate a 13.93 = > Y U1 + poor good poor FV U1 + U2 x genuine genuine 700 a 10.29
HU PAN 4066 59.58 u N/A N/A 58 grids1x1 minimum b 47.54 u x Y U1 u good unk poor U1 U1 x N/A N/A noChange method 4400 b 64.71
SK PAN 1159.01 16.98 = 47 47 N/A grids1x1 estimate b 38.52 = Y FV = good good good FV U1 = FV knowledge knowledge 1700 b 25
DK ATL N/A 0 x x N/A N/A N/A d 0 x x Unk Unk XX x unk unk unk XX XX x XX N/A N/A N/A d 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 2XP 18 grids1x1 2XP x > 2XP - poor poor poor 2XP MTX - XX nong nong C

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 5778 2XR 2XR x 2XR 2XR MTX x XX x nong nong XX D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 85778 2XP x 380 grids1x1 2XP x 2XP x unk unk unk 2XP MTX x U1 = nong nong U1 D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 51706 2XP x 1113 grids1x1 2XP x > 2XP 2XP MTX x XX x nc nc D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 1800 0MS = 0MS x 0MS poor bad bad 0MS MTX - U1 - nong nc C

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 6825 2XP x > 122 grids1x1 2XP x 2XP good unk poor 2XP MTX x XX x nong 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.