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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, Vascular plants, Luronium natans, All bioregions. Annexes II, IV. Show all Vascular plants
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
ES 1 1 N/A grids1x1 estimate 800 N/A N/A i minimum
BE N/A N/A 38 grids1x1 estimate 11886 47559 29707 i estimate
DE 79 84 81.50 grids1x1 estimate 79 84 81.50 localities estimate
DK N/A N/A N/A estimate N/A N/A 250000 area N/A
ES 8 8 N/A grids1x1 estimate 9265 N/A N/A i minimum
FR N/A N/A N/A minimum N/A N/A 430 grids10x10 minimum
NL N/A N/A 222 grids1x1 estimate 300 500 N/A area estimate
UK N/A N/A 184 grids1x1 estimate N/A N/A N/A N/A
SE N/A N/A 10 grids1x1 estimate N/A N/A 60000 i estimate
BE N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 3 grids1x1 estimate N/A N/A 18000 i interval
DE 23 25 24 grids1x1 estimate 23 25 24 localities estimate
FR N/A N/A N/A minimum N/A N/A 139 grids10x10 minimum
PL N/A N/A 64 grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 1 grids1x1 estimate N/A 100 50 i estimate
ES 20 20 N/A grids1x1 estimate 1620 N/A N/A i 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
ES ALP 100 100 = 1 1 N/A grids1x1 estimate a 100 = 1 grids1x1 Y XX = poor unk poor U1 U2 - XX knowledge knowledge 100 b 100
BE ATL 3800 3.08 = N/A N/A 38 grids1x1 estimate a 7.12 u >> N N U2 u good unk bad U2 U2 x U2 = N/A N/A 1900 a 3.06
DE ATL 7109 5.76 = 12660 79 84 81.50 grids1x1 estimate a 15.28 + 118 localities N N U2 = bad bad bad U2 U2 + U2 - noChange genuine 4300 a 6.92
DK ATL 558 0.45 - N/A N/A N/A estimate a 0 + Y U1 = poor poor poor U1 U1 + U1 + N/A N/A 400 a 0.64
ES ATL 300 0.24 = 8 8 N/A grids1x1 estimate b 1.50 = 8 grids1x1 N N U2 - good unk poor XX U2 - FV genuine genuine 300 b 0.48
FR ATL 93600 75.89 u N/A N/A N/A minimum a 0 - Y Unk U1 - unk good good FV U1 - U1 = noChange noChange 42600 b 68.60
NL ATL 8600 6.97 = >> N/A N/A 222 grids1x1 estimate a 41.61 u >> N N U2 - bad bad bad U2 U2 x U2 - noChange noInfo 7300 a 11.76
UK ATL 9371.25 7.60 - > N/A N/A 184 grids1x1 estimate a 34.49 = > N Unk XX = poor poor poor U1 U1 - U1 = noChange genuine 5300 a 8.53
SE BOR 200 100 = 200 N/A N/A 10 grids1x1 estimate a 100 = 60000 i Y FV = good good good FV FV = FV noChange noChange 200 a 100
BE CON 300 0.60 + >> N/A N/A 4 grids1x1 minimum a 4.17 + >> N Y U2 u unk unk unk XX U2 = U2 x noChange genuine 300 a 1.08
CZ CON 100 0.20 = N/A N/A 3 grids1x1 estimate a 3.13 = > N Y U2 = good poor bad U2 U2 = U2 - noChange genuine 100 a 0.36
DE CON 2756 5.54 = 3865 23 25 24 grids1x1 estimate b 25 = 47 localities N Unk U2 - unk unk bad U2 U2 - U2 = noChange method 2100 a 7.58
FR CON 33100 66.52 = > N/A N/A N/A minimum a 0 - 50 localities N Unk XX - poor unk unk XX U1 - U1 = noChange noChange 13000 b 46.93
PL CON 13400 26.93 = N/A N/A 64 grids1x1 minimum b 66.67 = > N N U1 = good poor poor U1 U1 = U1 x noChange genuine 12100 b 43.68
SE CON 100 0.20 = 100 N/A N/A 1 grids1x1 estimate a 1.04 - 2000 i N Unk U2 - good bad bad U2 U2 - U2 - noChange noChange 100 a 0.36
ES MED 1000 100 = 20 20 N/A grids1x1 estimate a 100 = 20 grids1x1 N N U2 - good unk bad U2 U2 - XX knowledge knowledge 900 b 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 100 0MS = ≈ 100 1 1 1 grids1x1 0MS = ≈ 1 grids1x1 0MS = poor unk poor 0MS MTX - XX x nong nong XX C

01/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 ATL 123338.25 1 x > 128889.25 2GD + 2GD 2GD MTX - U2 = nong nong U2 C

02/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 BOR 200 0MS = ≈ 200 10 grids1x1 0MS = ≈ 60000 i 0MS = good good good 0MS MTX = FV = nc nc FV A=

01/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 CON 49756 1 = > 50865 2GD = 2GD 2GD MTX - U1 = nc gen U1 C

01/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

Member State:

EEA-ETC/BD
EU28 MED 1000 0MS = ≈ 1000 20 20 20 grids1x1 0MS = ≈ 20 grids1x1 0MS - good unk bad 0MS MTX - XX x nong nong XX C

01/20

EEA-ETC/BD

Institution: Slovak Academy of Sciences

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.