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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, Fish, Gymnocephalus baloni, All bioregions. Annexes II, IV. Show all Fish
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
RO N/A N/A 85 grids1x1 mean 1000 5000 N/A i N/A
AT N/A N/A 618 grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 4 grids1x1 minimum N/A N/A N/A N/A
DE 323 323 323 grids1x1 minimum 28 28 28 grids5x5 minimum
HR N/A N/A 87 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 1069 grids1x1 estimate 6663 27719 N/A i N/A
SI N/A N/A 18 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 310 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 348 grids1x1 mean 1000 10000 N/A i N/A
SK 17 17 N/A grids1x1 estimate 1000 5000 N/A i N/A
RO N/A N/A 694 grids1x1 mean 5000 20000 N/A i N/A
CZ N/A N/A 5 grids1x1 estimate N/A N/A 4 grids10x10 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
RO BLS 1100 100 = > N/A N/A 85 grids1x1 mean b 100 = x Y U1 = poor poor poor U1 U1 = U1 x noChange noChange 1900 b 100
AT CON 5400 11.08 = ≈ N/A N/A 618 grids1x1 estimate a 29.16 - >> Y U1 - good poor poor U1 U2 - U2 x noChange knowledge 4500 a 9.80
BG CON 6600 13.54 = 6600 N/A N/A 4 grids1x1 minimum b 0.19 = 4 grids1x1 Y FV = good good good FV FV = FV noChange noChange 3400 b 7.41
DE CON 3081 6.32 = > 323 323 323 grids1x1 minimum b 15.24 = > grids5x5 N Unk U1 = poor poor poor U1 U1 = U1 + noChange method 2200 b 4.79
HR CON 9800 20.10 = ≈ N/A N/A 87 grids1x1 minimum c 4.11 x x Y FV = good unk good FV FV = N/A N/A 8500 c 18.52
RO CON 22700 46.56 + > N/A N/A 1069 grids1x1 estimate b 50.45 = x Y U1 = poor poor poor U1 U1 + U1 - knowledge knowledge 26600 b 57.95
SI CON 1169 2.40 = ≈ N/A N/A 18 grids1x1 estimate b 0.85 x x Unk XX x good unk unk XX XX U1 x knowledge noChange 700 b 1.53
HU PAN 18287 68.69 = ≈ N/A N/A 310 grids1x1 minimum b 45.93 = ≈ Y FV = good good unk FV FV = FV noChange method 18000 b 64.29
RO PAN 7400 27.80 - > N/A N/A 348 grids1x1 mean b 51.56 = x Y U1 = poor poor poor U1 U1 - U1 x knowledge knowledge 8900 b 31.79
SK PAN 934.80 3.51 x > 17 17 N/A grids1x1 estimate b 2.52 - ≈ Y U1 - unk good good FV U2 - U2 - N/A N/A 1100 b 3.93
RO STE 5900 100 - > N/A N/A 694 grids1x1 mean b 100 = x Y U1 = poor poor poor U1 U1 - U1 x knowledge knowledge 12000 b 100
CZ PAN 400 0 = > N/A N/A 5 grids1x1 estimate b 0 + >> N N U2 = bad bad bad U2 U2 = U2 = noChange noChange 300 N/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 BLS 1100 0MS = > 1100 85 grids1x1 0MS = x 0MS = poor poor poor 0MS MTX = U1 x nc nong U1 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 48750 1 + > 48750 2119 grids1x1 2XP - 2XP - poor bad poor 2XP MTX + U1 - nong nong U1 B2

04/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 26621.8 1 - > 26621.8 675 grids1x1 2XP = 2XP = poor poor poor 2XP MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 5900 0MS - > 5900 694 grids1x1 0MS = x 0MS = poor poor poor 0MS MTX - U1 x nc nong U1 C

01/20

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.