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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, Romanogobio kesslerii, All bioregions. Annexes Y-CTC, N, N. 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
AT N/A N/A 22 grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A 1 grids1x1 estimate N/A N/A N/A N/A
SK 21 21 N/A grids1x1 estimate 100 500 N/A i N/A
AT N/A N/A 103 grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 19 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 6 grids1x1 estimate N/A N/A 4 grids10x10 estimate
HR N/A N/A 58 grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 4361 grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 5516 grids1x1 estimate 187578 594247 N/A i N/A
SI N/A N/A 104 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 205 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 739 grids1x1 mean 100000 500000 N/A i N/A
SK 36 36 N/A grids1x1 estimate 500 1000 N/A i N/A
RO N/A N/A 1904 grids1x1 mean 100000 500000 N/A i 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 600 25.08 = >> N/A N/A 22 grids1x1 estimate a 50 - >> N N U2 + bad bad bad U2 U2 - XX knowledge genuine 500 a 23.81
SI ALP 75 3.14 = ≈ N/A N/A 1 grids1x1 estimate b 2.27 x x Y FV = good unk good FV FV = FV noChange noChange N/A b 0
SK ALP 1717.28 71.78 = > 21 21 N/A grids1x1 estimate b 47.73 = ≈ Y U1 x good poor poor U1 U2 = U1 - knowledge N/A 1600 b 76.19
AT CON 1600 1.44 - >> N/A N/A 103 grids1x1 estimate a 1.01 = >> N N U1 + bad bad bad U2 U2 - XX knowledge knowledge 1100 a 0.95
BG CON 19000 17.10 = 19000 N/A N/A 19 grids1x1 minimum b 0.19 = 19 grids1x1 Y FV = good good good FV FV = U1 - knowledge knowledge 7800 b 6.70
CZ CON 400 0.36 - 1300 N/A N/A 6 grids1x1 estimate a 0.06 + >> N N U2 = bad bad bad U2 U2 = U2 = noChange noChange 400 b 0.34
HR CON 14500 13.05 = ≈ N/A N/A 58 grids1x1 minimum c 0.57 = x Y FV = good unk good FV FV = N/A N/A 13800 c 11.86
PL CON 5800 5.22 + ≈ N/A N/A 4361 grids1x1 estimate b 42.89 + ≈ Y FV = good good good FV FV + FV noChange genuine 2500 b 2.15
RO CON 67100 60.39 - ≈ N/A N/A 5516 grids1x1 estimate b 54.25 = x Y U1 = poor poor poor FV U1 - U1 x knowledge knowledge 89000 b 76.46
SI CON 2704 2.43 - > N/A N/A 104 grids1x1 estimate b 1.02 - > N Unk U1 - poor poor poor U1 U1 - FV knowledge knowledge 1800 b 1.55
HU PAN 7017 36 = ≈ N/A N/A 205 grids1x1 minimum a 20.92 = ≈ Y FV = good good good FV FV = FV noChange noChange 7500 a 31.65
RO PAN 10100 51.81 - ≈ N/A N/A 739 grids1x1 mean b 75.41 = x Y U1 = poor poor poor U1 U1 - U1 x knowledge knowledge 13600 b 57.38
SK PAN 2376.75 12.19 x > 36 36 N/A grids1x1 estimate b 3.67 - ≈ Y U1 - unk poor poor U1 U2 - U1 - knowledge N/A 2600 b 10.97
RO STE 20600 100 - ≈ N/A N/A 1904 grids1x1 mean b 100 = x Y U1 - poor poor poor U1 U1 - U1 x knowledge knowledge 25300 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 2392.28 1 = >> 2392.28 44 grids1x1 1 - >> 44 grids1x1 2XP + bad bad bad 2XP MTX - U1 - nong nc U2 C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 111104 1 - > 112004 10167 grids1x1 2XP + > 10167 grids1x1 2XP = poor poor poor 2XP MTX - U1 - nc nc U1 C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 19493.75 1 - > 19493.75 980 grids1x1 2XP = 2XP = poor poor poor 2XP MTX - U1 - nc nc U1 C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 20600 0MS - ≈ 20600 1904 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
BG CON 1 2XP 2XP 2XP MTX U1 - U1 0/2

03/20

"Balkanka" assocition

Institution: "Balkanka" assocition

Member State: BG

"Balkanka" assocition
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.