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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.

Warning: The map does not show the distribution for sensitive species in GR

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, Vascular plants, Marsilea quadrifolia, All bioregions. Annexes Y, 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
FR 30 50 40 grids1x1 minimum 6000 12000 N/A area minimum
AT N/A N/A 7 grids1x1 estimate 5 5 5 localities estimate
BG N/A N/A 8 grids1x1 minimum N/A N/A N/A N/A
DE 2 2 N/A grids1x1 estimate 4 4 4 localities estimate
FR N/A 6 N/A grids1x1 mean 60 60 60 grids10x10 mean
HR N/A N/A 38 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 18 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
RO 100 3000 N/A grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
ES N/A N/A 4 grids1x1 estimate 3 N/A N/A i minimum
GR N/A N/A 13 grids1x1 estimate 300000 330000 N/A area estimate
IT N/A N/A 1 grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A N/A grids1x1 estimate N/A N/A N/A i estimate
HU N/A N/A 18 grids1x1 estimate N/A N/A N/A N/A
RO 300 800 N/A grids1x1 estimate N/A N/A N/A N/A
SK 4 4 N/A grids1x1 estimate 2775 8595 N/A area N/A
RO 100 1500 N/A grids1x1 estimate N/A N/A N/A N/A
IT N/A N/A 1 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
FR ATL 3100 100 x > 30 50 40 grids1x1 minimum b 100 - > Unk Unk XX - poor poor poor U1 U1 - U1 = noChange noChange 3300 a 100
AT CON 200 0.68 = > N/A N/A 7 grids1x1 estimate a 0.43 = ≈ Y U1 = poor poor poor U1 U1 = U1 = noChange noChange 200 a 1.15
BG CON 4400 14.87 u 4400 N/A N/A 8 grids1x1 minimum b 0.49 u 8 grids1x1 Y FV = unk unk unk XX XX x U2 - noChange noChange 2300 b 13.22
DE CON 298 1.01 - >> 2 2 N/A grids1x1 estimate b 0.12 - 12 localities N N U2 - bad unk bad U2 U2 - U2 = noChange method 300 a 1.72
FR CON 13400 45.27 - ≈ N/A 6 N/A grids1x1 mean b 0.18 - > N N U2 - poor bad bad U2 U2 - U2 = noChange noChange 8300 a 47.70
HR CON 4500 15.20 x x N/A N/A 38 grids1x1 minimum c 2.33 - x Unk U1 - unk unk poor XX U1 - N/A N/A 2400 d 13.79
IT CON 2900 9.80 - > N/A N/A 18 grids1x1 estimate a 1.10 - >> N Y U2 - bad poor poor U2 U2 - U2 - noChange noChange 1900 a 10.92
PL CON 500 1.69 = > N/A N/A 3 grids1x1 minimum b 0.18 = > N N U1 = poor poor bad U2 U2 = U2 + noChange genuine 300 a 1.72
RO CON 3000 10.14 = > 100 3000 N/A grids1x1 estimate a 94.92 = 3500 grids1x1 Y U1 = poor poor poor U1 U1 = U2 N/A noChange noChange 1500 a 8.62
SI CON 400 1.35 = ≈ N/A N/A 4 grids1x1 minimum c 0.24 - 6 grids1x1 N Unk U2 - poor bad poor U2 U2 - U2 - noChange noChange 200 c 1.15
ES MED 500 75.53 + ≈ N/A N/A 4 grids1x1 estimate a 22.22 + 4 grids1x1 N N U2 - bad bad bad U2 U2 = U2 - noChange genuine 400 b 50
GR MED 62 9.37 + 9 N/A N/A 13 grids1x1 estimate a 72.22 + 100000 area Y FV + good good poor U1 U1 x U1 x noChange noChange 300 a 37.50
IT MED 100 15.11 = x N/A N/A 1 grids1x1 estimate a 5.56 - > N Unk U1 = bad bad bad U2 U2 - U2 - noChange noChange 100 a 12.50
PT MED N/A 0 u >> N/A N/A N/A grids1x1 estimate a 0 - >> N Y U2 x bad bad bad U2 U2 x U2 x noChange noChange N/A a 0
HU PAN 2207 52.46 = > N/A N/A 18 grids1x1 estimate b 3.15 u > Unk U1 u poor unk poor U1 U1 x U1 = noChange knowledge 1300 b 46.43
RO PAN 1700 40.41 = > 300 800 N/A grids1x1 estimate a 96.15 = 1000 grids1x1 Y U1 = good poor poor U1 U1 = U1 N/A noChange noChange 1200 a 42.86
SK PAN 300 7.13 - > 4 4 N/A grids1x1 estimate a 0.70 - > Y U1 - poor poor poor U1 U2 - U2 - N/A N/A 300 b 10.71
RO STE 1200 100 = > 100 1500 N/A grids1x1 estimate a 100 = 1700 grids1x1 Y U1 = good poor good U1 U1 = U1 N/A noChange noChange 300 a 100
IT ALP 100 0 x x N/A N/A 1 grids1x1 estimate a 0 x > Y U1 x good good poor U1 U1 x N/A N/A knowledge knowledge 100 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 100 0MS x x 1 grids1x1 0MS x > 0MS x 0MS MTX x nong nong D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 3100 0MS x > 3100 30 50 grids1x1 0MS - > 50 grids1x1 0MS - poor poor poor 0MS MTX - U1 = nc nong U1 C

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 29598 2GD - < 29937.80 183 3086 1633 grids1x1 2GD - 2GD - 2GD MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 662 1 + 609 18 grids1x1 1 + 2XP 2XP MTX x U2 - nc gen U2 D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 4207 1 = < 4627.70 322 822 572 grids1x1 0EQ = 0EQ = 0EQ MTX = U1 - nc nong U1 D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 1200 0MS = > 1200 100 1500 grids1x1 0MS = 1700 grids1x1 0MS = 0MS MTX = U1 x nc nong U1 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.