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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, Fish, Barbus barbus, All bioregions. Annexes N, N, Y-HTL. 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 133 grids1x1 estimate N/A N/A N/A N/A
DE 15 15 15 grids1x1 minimum 3 3 3 grids5x5 minimum
FR 1000 5000 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 14 grids1x1 minimum N/A N/A N/A N/A
SI 19 23 N/A grids1x1 estimate N/A N/A N/A N/A
SK 200 300 N/A grids1x1 estimate 100000 1000000 N/A i N/A
BE N/A N/A 8 grids1x1 estimate N/A N/A N/A N/A
DE 1284 1284 1284 grids1x1 estimate 140 206 173 grids5x5 estimate
FR N/A N/A N/A estimate N/A N/A N/A estimate
NL N/A N/A 228 grids1x1 estimate N/A N/A N/A N/A
UK N/A N/A 215 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 2143 grids1x1 minimum N/A N/A N/A N/A
AT N/A N/A 394 grids1x1 estimate N/A N/A N/A N/A
BE N/A N/A 78 grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A 16 grids1x1 estimate N/A N/A N/A N/A
CZ N/A N/A 139 grids1x1 estimate N/A N/A 87 grids10x10 estimate
DE 5151 5151 5151 grids1x1 estimate 1173 1240 1206.50 grids5x5 estimate
FR 10000 50000 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 200 grids1x1 minimum N/A N/A N/A N/A
LU 250 350 N/A grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 6336 grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 7319 grids1x1 estimate 36943 554306 N/A i N/A
SI 515 519 N/A grids1x1 estimate N/A N/A N/A N/A
FR 10000 50000 N/A grids1x1 minimum 10000 50000 N/A minimum
CZ N/A N/A 35 grids1x1 estimate N/A N/A 21 grids10x10 N/A
HU N/A N/A 760 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 728 grids1x1 mean 10000 100000 N/A i N/A
SK 100 200 N/A grids1x1 estimate 50000 100000 N/A i N/A
RO N/A N/A 2163 grids1x1 mean 10000 100000 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 7100 17.22 = > N/A N/A 133 grids1x1 estimate a 3.87 = > Y U1 + poor poor poor U1 U1 + U1 = noChange knowledge 5900 a 20.27
DE ALP 588 1.43 = 15 15 15 grids1x1 minimum b 0.44 = > grids5x5 N Y U1 = good poor poor U1 U1 = U1 = noChange noChange 200 b 0.69
FR ALP 12000 29.11 = 1000 5000 N/A grids1x1 minimum b 87.39 = Unk Unk XX = unk unk unk XX XX = FV noChange noChange 1600 b 5.50
HR ALP 700 1.70 = N/A N/A 14 grids1x1 minimum c 0.41 = Y FV = good good good FV FV = N/A N/A 600 b 2.06
SI ALP 1470 3.57 = 19 23 N/A grids1x1 estimate b 0.61 = Y FV = good good good FV FV = N/A N/A noChange noChange 1200 b 4.12
SK ALP 19361.75 46.97 = 200 300 N/A grids1x1 estimate b 7.28 - > Y U1 - good poor poor U1 U2 - U1 - knowledge N/A 19600 b 67.35
BE ATL 2200 0.99 = N/A N/A 8 grids1x1 estimate b 0.46 - >> N N U1 = good bad poor U2 U2 - U1 = knowledge knowledge 500 a 0.56
DE ATL 22915 10.32 = 1284 1284 1284 grids1x1 estimate b 74.01 + 173 grids5x5 Y FV = good good good FV FV + FV noChange noChange 11900 b 13.45
FR ATL 161300 72.65 = N/A N/A N/A estimate b 0 = Y Unk XX = good good good FV FV = U1 = noChange noChange 58100 b 65.65
NL ATL 7400 3.33 = N/A N/A 228 grids1x1 estimate b 13.14 - >> N N U2 - good bad bad U2 U2 - U2 + noChange genuine 6800 b 7.68
UK ATL 28197.14 12.70 = N/A N/A 215 grids1x1 minimum b 12.39 + Y FV = good good good FV FV + FV noChange noChange 11200 b 12.66
LT BOR 64787 100 = N/A N/A 2143 grids1x1 minimum b 100 - 2143 grids1x1 Y U1 - good poor poor U1 U1 - FV knowledge knowledge 18800 b 100
AT CON 17200 2.75 = > N/A N/A 394 grids1x1 estimate a 0.78 - > Y U1 + good poor poor U1 U1 = U1 = noChange noChange 12500 a 4.04
BE CON 10899 1.75 - > N/A N/A 78 grids1x1 estimate b 0.15 u >> N N U2 = poor poor poor U1 U2 - FV knowledge knowledge 4000 a 1.29
BG CON 25200 4.04 = 25200 N/A N/A 16 grids1x1 estimate b 0.03 x 16 grids1x1 Y FV = good unk good FV FV = XX knowledge knowledge 12400 b 4.01
CZ CON 14400 2.31 = N/A N/A 139 grids1x1 estimate b 0.28 - > N N U1 = good poor poor U1 U1 - U1 = knowledge noChange 8000 b 2.59
DE CON 172780 27.67 = 172780 5151 5151 5151 grids1x1 estimate b 10.21 = grids5x5 Y FV = good good good FV FV = FV noChange noChange 78200 b 25.29
FR CON 184100 29.48 = 10000 50000 N/A grids1x1 minimum b 59.46 = Y Unk FV = poor poor poor U1 U1 = U1 = noChange noChange 57000 b 18.43
HR CON 16100 2.58 = N/A N/A 200 grids1x1 minimum b 0.40 = Y FV = good good good FV FV = N/A N/A 14400 b 4.66
LU CON 2800 0.45 = 250 350 N/A grids1x1 estimate b 0.59 - > N Y U1 u good poor poor U1 U1 - U1 = noChange genuine 1800 b 0.58
PL CON 74800 11.98 = > N/A N/A 6336 grids1x1 estimate c 12.56 x x N Y U1 u unk unk poor XX U1 x U2 x knowledge noChange 34600 b 11.19
RO CON 99700 15.97 - > N/A N/A 7319 grids1x1 estimate b 14.51 + x Y FV = poor poor poor FV U1 + U1 = method method 80400 b 26
SI CON 6439 1.03 = 515 519 N/A grids1x1 estimate b 1.02 = Y FV = good good poor FV FV = N/A N/A noChange noChange 5900 b 1.91
FR MED 51500 100 = 10000 50000 N/A grids1x1 minimum b 100 = Y Unk FV = poor poor poor U1 U1 = FV noInfo noChange 24000 b 100
CZ PAN 3300 6.41 = N/A N/A 35 grids1x1 estimate b 2.09 + N/ grids1x1 Y U1 = good poor poor U1 U1 + U2 - knowledge genuine 1400 b 2.68
HU PAN 23858 46.36 = N/A N/A 760 grids1x1 minimum b 45.43 = Y FV = good good good FV FV = FV noChange noChange 23400 b 44.83
RO PAN 12400 24.10 = > N/A N/A 728 grids1x1 mean b 43.51 = x Y FV = poor poor poor FV U1 = U1 = method method 14000 b 26.82
SK PAN 11903.20 23.13 = 100 200 N/A grids1x1 estimate b 8.97 = Y U1 - good poor poor U1 U1 - U1 - N/A N/A 13400 b 25.67
RO STE 30600 100 - > N/A N/A 2163 grids1x1 mean b 100 = x Y FV = poor good good FV U1 - U1 = method method 32800 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 41220 2XP = 3433 grids1x1 2XP = 2XP = 2XP 3XP = U1 - nong nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 222012 1 = 1735 grids1x1 2GD + 2GD = 2GD MTX + U1 = nong nong U1 A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 64787 0MS = 2143 grids1x1 0MS - 0MS - good poor poor 0MS MTX - FV nong nong FV C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 624418 2XP = 50450 grids1x1 2XP + 2XP = 2XP MTX + U1 x nc nong U1 B1

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 51500 0MS = 10000 50000 grids1x1 0MS = 0MS = poor poor poor 0MS MTX = FV nong nong FV D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 51461 2XP = 1673 grids1x1 2XP = 2XP = 2XP MTX = U1 = nc nc FV C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 30600 0MS - > 2163 grids1x1 0MS = x 0MS = poor good good 0MS MTX - U1 = nc nong U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
BG CON 2XP 2XP 2XP 2XP MTX U1 x U1 0/2

04/20

"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.