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Article 17 > Species summary

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, Lindernia procumbens, All bioregions. Annexes N, Y, N. 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
AT N/A N/A 1 grids1x1 estimate N/A N/A N/A N/A
IT N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
ES N/A N/A N/A grids1x1 estimate N/A N/A N/A N/A
FR 21 40 30 grids1x1 minimum N/A N/A N/A minimum
RO 1 100 N/A grids1x1 estimate N/A N/A N/A N/A
AT 11 11 11 grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 17 grids1x1 minimum N/A N/A N/A N/A
CZ 182 6469 N/A grids1x1 interval 6 19 N/A localities N/A
DE 32 36 34 grids1x1 estimate 32 36 34 localities estimate
FR 48 48 N/A grids1x1 minimum 48 48 N/A grids10x10 minimum
HR N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 23 grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 24 grids1x1 minimum N/A N/A N/A N/A
RO 100 1500 N/A grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A 18 grids1x1 minimum N/A N/A N/A N/A
GR N/A N/A 225 grids1x1 estimate N/A N/A 3 grids5x5 estimate
CZ 1 300 N/A grids1x1 interval 2 4 N/A localities N/A
HU N/A N/A 275 grids1x1 estimate N/A N/A N/A N/A
RO 10 20 N/A grids1x1 estimate N/A N/A N/A N/A
SK 16 16 N/A grids1x1 estimate 1300 4000 N/A i N/A
RO 10 200 N/A 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 100 16.67 = >> N/A N/A 1 grids1x1 estimate b 25 u >> N Unk XX = bad bad bad U2 U2 x U2 x noChange noChange 100 b 33.33
IT ALP 500 83.33 - x N/A N/A 3 grids1x1 minimum c 75 x > N Unk U1 - poor bad poor U2 U2 - XX knowledge knowledge 200 b 66.67
ES ATL N/A 0 x x N/A N/A N/A grids1x1 estimate c 0 x x Unk XX x unk unk unk XX XX N/A N/A noChange noChange N/A b 0
FR ATL 1800 100 u > 21 40 30 grids1x1 minimum d 100 u x Unk Unk XX u poor bad poor U2 U2 x U2 = noChange noChange 3600 a 100
RO BLS 100 100 = > 1 100 N/A grids1x1 estimate b 100 = 120 grids1x1 Y FV = good good good FV FV = FV noChange noChange N/A a 0
AT CON 2200 5.56 u > 11 11 11 grids1x1 estimate b 0.26 u > N N U1 x poor poor good U1 U1 + U1 = noChange noChange 1100 b 4.87
BG CON 2900 7.33 - 2900 N/A N/A 17 grids1x1 minimum b 0.39 = 17 grids1x1 N N FV = poor poor poor U1 U1 - U1 - method noChange 1500 b 6.64
CZ CON 1500 3.79 + 1500 182 6469 N/A grids1x1 interval a 77.24 x 6500 grids1x1 Y U1 - good poor poor U2 U2 x U2 - genuine genuine 1000 a 4.42
DE CON 2347 5.93 + >> 32 36 34 grids1x1 estimate a 0.79 = >> localities N Unk U2 - unk unk bad U2 U2 - U2 = noChange knowledge 2000 a 8.85
FR CON 15000 37.90 - >> 48 48 N/A grids1x1 minimum a 1.11 - > Unk Unk XX - bad bad unk U2 U2 - U2 = noChange noChange 6300 a 27.88
HR CON 500 1.26 x x N/A N/A 5 grids1x1 minimum c 0.12 x x Unk U1 - poor poor poor U1 U1 x N/A N/A 500 d 2.21
IT CON 4500 11.37 x x N/A N/A 23 grids1x1 minimum b 0.53 - > N Unk U1 - good poor poor U1 U1 - XX knowledge knowledge 2500 b 11.06
PL CON 6700 16.93 = ≈ N/A N/A 24 grids1x1 minimum b 0.56 x > Unk XX x good unk unk XX XX U1 x noInfo noChange 5600 c 24.78
RO CON 1700 4.30 = > 100 1500 N/A grids1x1 estimate b 18.58 = 1500 grids1x1 Y FV = good good good FV FV = FV noChange noChange 1100 a 4.87
SI CON 2226 5.63 = ≈ N/A N/A 18 grids1x1 minimum c 0.42 = 18 grids1x1 Y FV = good good good FV FV = FV noChange noChange 1000 c 4.42
GR MED 500 100 x ≈ N/A N/A 225 grids1x1 estimate c 100 x x N Unk XX x unk unk unk XX XX XX noChange noChange 300 c 100
CZ PAN 400 1.25 - 400 1 300 N/A grids1x1 interval c 32.97 - 500 grids1x1 Y U2 - good bad bad U2 U2 - U2 - genuine genuine 200 a 1.52
HU PAN 30749 96 = ≈ N/A N/A 275 grids1x1 estimate b 60.24 = ≈ Y FV = good good good FV FV = FV noChange noChange 12000 b 90.91
RO PAN 100 0.31 = > 10 20 N/A grids1x1 estimate a 3.29 = 25 grids1x1 Y FV = good good good FV FV = FV noChange noChange 200 a 1.52
SK PAN 781.66 2.44 = ≈ 16 16 N/A grids1x1 estimate b 3.50 = > Y U1 = good poor poor U1 U1 = U1 = N/A N/A 800 b 6.06
RO STE 400 100 = > 10 200 N/A grids1x1 estimate a 100 = 240 grids1x1 Y FV = good good good FV FV = FV noChange noChange 200 a 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 600 2GD - x 4 4 4 grids1x1 2GD x > 2GD - poor bad poor 2GD MTX - XX x nong nong XX C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 1800 1 x > 1800 21 40 30 grids1x1 1 x x 2XP x poor bad poor 2XP MTX x U2 = nc nc U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 100 0MS = > 100 1 100 50.50 grids1x1 0MS = 120 grids1x1 0MS = good good good 0MS MTX = FV nc nc FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 39573 2XP - ≈ 39573 460 8151 4305.5 grids1x1 2XP x > 8035 grids1x1 2XP - good poor poor 2XP MTX x U2 - gen gen U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 500 0MS x ≈ 500 225 225 225 grids1x1 0MS x x 0MS x unk unk unk 0MS MTX XX nc nc D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 32030.66 1 = ≈ 32030.66 302 611 456.5 grids1x1 1 + > 525 2XP - good good bad 2XP MTX - FV = gen gen FV C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 400 0MS = > 400 10 200 105 grids1x1 0MS = 240 grids1x1 0MS = good good good 0MS MTX = FV nc nc FV A=

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.