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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, Misgurnus fossilis, All bioregions. Annexes Y, 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
HR N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
SI N/A N/A 11 grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 3 grids1x1 estimate N/A N/A N/A estimate
DE 1308 1308 1308 grids1x1 minimum 156 159 157.50 grids5x5 minimum
DK N/A N/A N/A estimate N/A N/A N/A N/A
FR 500 10000000 N/A grids1x1 minimum N/A N/A N/A minimum
NL N/A N/A 603 grids1x1 estimate N/A N/A N/A N/A
BG N/A N/A N/A grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 19 grids1x1 mean 5000 10000 N/A i N/A
EE N/A N/A 2765 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 298 grids1x1 minimum N/A N/A N/A N/A
LV N/A N/A 26439 grids1x1 estimate N/A N/A N/A N/A
AT N/A N/A 89 grids1x1 estimate N/A N/A N/A N/A
BE 3 N/A 3 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 8 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 72 grids1x1 estimate N/A N/A 34 grids10x10 N/A
DE 5249 5249 5249 grids1x1 estimate 443 531 487 grids5x5 estimate
DK N/A N/A N/A estimate N/A N/A N/A N/A
FR 1000 10000 N/A grids1x1 minimum N/A N/A N/A localities minimum
HR N/A N/A 49 grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 16045 grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 3398 grids1x1 mean 993 10722 N/A i N/A
SI N/A N/A 71 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 17 grids1x1 estimate N/A N/A 10 grids10x10 estimate
HU N/A N/A 676 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 790 grids1x1 mean 5000 10000 N/A i N/A
SK 121 121 N/A grids1x1 estimate 1000 5000 N/A i N/A
RO N/A N/A 1961 grids1x1 mean 102850 342834 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
HR ALP 600 57.58 x x N/A N/A 5 grids1x1 minimum c 31.25 x x Unk XX u unk unk poor XX XX N/A N/A 600 b 66.67
SI ALP 442 42.42 x x N/A N/A 11 grids1x1 minimum c 68.75 x x Unk XX x unk unk unk XX XX U1 x noInfo noInfo 300 b 33.33
BE ATL 600 1.83 x >> N/A N/A 3 grids1x1 estimate a 0 - >> N N U2 = bad bad bad U2 U2 x U2 - noChange genuine 200 a 0.88
DE ATL 18396 56.09 = ≈ 1308 1308 1308 grids1x1 minimum b 0.03 = 157 grids5x5 N Y U1 = good good poor U1 U1 = U1 = noChange noChange 9900 b 43.81
DK ATL N/A 0 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x XX N/A N/A 600 d 2.65
FR ATL 400 1.22 - >> 500 10000000 N/A grids1x1 minimum c 99.96 - >> Unk Unk XX - bad bad bad U2 U2 - U2 - noChange noChange 100 b 0.44
NL ATL 13400 40.86 - >> N/A N/A 603 grids1x1 estimate b 0.01 - >> N N U2 - bad bad bad U2 U2 - U2 - noChange noChange 11800 a 52.21
BG BLS 200 6.90 = 200 N/A N/A N/A grids1x1 minimum c 0 x x Y FV = unk unk unk XX XX = U1 - noChange noInfo 200 b 5.56
RO BLS 2700 93.10 - > N/A N/A 19 grids1x1 mean b 100 - x Y U1 - poor poor poor U1 U1 - U1 - knowledge knowledge 3400 b 94.44
EE BOR 15800 10.88 = ≈ N/A N/A 2765 grids1x1 minimum b 9.37 = ≈ Y FV = good good good FV FV = U1 = knowledge knowledge 8400 a 18.83
LT BOR 64787 44.63 = ≈ N/A N/A 298 grids1x1 minimum b 1.01 - 298 grids1x1 N Y U1 = good poor poor U2 U2 - FV knowledge knowledge 3100 b 6.95
LV BOR 64589 44.49 = 64589 N/A N/A 26439 grids1x1 estimate a 89.62 = x Y FV = good good good FV FV = FV noChange noChange 33100 a 74.22
AT CON 2300 0.85 - >> N/A N/A 89 grids1x1 estimate a 0.29 - >> N Unk U2 - poor poor bad U2 U2 - U2 - noChange noChange 2000 a 1.43
BE CON 500 0.18 x >> 3 N/A 3 grids1x1 minimum c 0.01 u >> N N U1 = poor poor poor U1 U2 x N/A N/A knowledge knowledge 200 a 0.14
BG CON 13900 5.12 = 13900 N/A N/A 8 grids1x1 minimum b 0.03 x 8 grids1x1 Y FV = unk unk unk XX XX = U1 - knowledge knowledge 4400 b 3.15
CZ CON 4300 1.58 + >> N/A N/A 72 grids1x1 estimate b 0.24 + > N N U2 - poor bad bad U2 U2 = U2 - noChange genuine 3300 b 2.36
DE CON 70805 26.09 = 76537 5249 5249 5249 grids1x1 estimate b 17.22 = > grids5x5 N Unk U1 - poor poor poor U1 U1 - U1 = noChange method 32900 b 23.57
DK CON N/A 0 x x N/A N/A N/A estimate d 0 x x Unk Unk XX x unk unk unk XX XX x XX N/A N/A 100 d 0.07
FR CON 4800 1.77 = >> 1000 10000 N/A grids1x1 minimum b 18.04 - > N Y U1 - bad bad bad U2 U2 - U2 = noChange noChange 1500 b 1.07
HR CON 5900 2.17 x x N/A N/A 49 grids1x1 minimum b 0.16 x > Y U1 - unk unk poor XX U1 x N/A N/A 5200 b 3.72
PL CON 128000 47.17 = ≈ N/A N/A 16045 grids1x1 estimate b 52.63 = ≈ Y FV = good good good FV FV = U1 - noChange noChange 33000 b 23.64
RO CON 39000 14.37 - > N/A N/A 3398 grids1x1 mean b 11.15 - x Y FV = poor poor good U1 U1 - U1 - knowledge knowledge 55900 b 40.04
SI CON 1860 0.69 x x N/A N/A 71 grids1x1 minimum c 0.23 x x Unk XX x unk unk unk XX XX U1 x noInfo noInfo 1100 b 0.79
CZ PAN 1600 3.07 + 3100 N/A N/A 17 grids1x1 estimate b 1.06 + > N N U2 - poor bad bad U2 U2 = U2 - knowledge knowledge 900 b 1.68
HU PAN 35147 67.35 = ≈ N/A N/A 676 grids1x1 minimum b 42.14 = ≈ Y FV = good good unk FV FV = FV noChange noChange 34700 b 64.74
RO PAN 11500 22.04 - > N/A N/A 790 grids1x1 mean b 49.25 - x Y FV = good poor poor U1 U1 - U1 - knowledge knowledge 13600 b 25.37
SK PAN 3940.60 7.55 - > 121 121 N/A grids1x1 estimate b 7.54 - ≈ Y U1 - poor poor poor U1 U2 - U1 - knowledge N/A 4400 b 8.21
RO STE 25100 100 - > N/A N/A 1961 grids1x1 mean b 100 - x Y FV = poor poor poor U1 U1 - U1 - knowledge knowledge 28200 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 1042 0EQ x x 16 grids1x1 0EQ x x 0EQ x unk unk poor 0EQ MTX x U1 x nong nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 32796 2GD - >> 2414 2414 2414 grids1x1 2GD - >> 2GD - 2GD MTX - U2 - nc nc U2 C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 2900 1 - > 19 19 19 grids1x1 1 - > 2XP - poor poor poor 2XP MTX - U1 - nc nc U1 C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 145176 1 = ≈ 29502 grids1x1 2XP = x 2XP = good 2XP MTX = U1 = nong nc U1 A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 271365 2GD = > 25984 34984 30484 grids1x1 2GD - > 2GD - 2GD MTX - U1 - nc nc U1 C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 52188 2XP - > 1604 1604 1604 grids1x1 2XP - > 2XP = 2XP MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 25100 0MS - > 1961 grids1x1 0MS - > 0MS = poor poor poor 0MS MTX - U1 - nc nc U1 C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
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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.