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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, Mammals, Halichoerus grypus, All bioregions. Annexes II, V. Show all Mammals
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
BE 10 100 N/A i estimate N/A N/A N/A N/A
DE 1179 1179 1179 i minimum 1179 1179 1179 i minimum
DK 350 600 500 i mean N/A 3 2 bfemales mean
FR N/A N/A 1025 i minimum N/A N/A N/A minimum
IE 7284 9365 N/A i minimum N/A N/A N/A N/A
NL 2731 5534 N/A i estimate N/A N/A N/A N/A
SE 23 45 34 i estimate N/A N/A N/A N/A
UK 118500 155200 138700 i interval N/A N/A N/A N/A
DE 10 200 105 i estimate 10 200 105 i estimate
DK 800 1200 1000 i estimate 6 10 8 bfemales mean
EE 4900 7400 N/A i interval N/A N/A N/A N/A
FI 13000 17500 N/A i mean N/A N/A N/A N/A
LV N/A N/A 3000 i estimate N/A N/A N/A N/A
PL 1 232 N/A i estimate N/A N/A N/A N/A
SE 21300 22796 22048 i mean 18600 24800 21300 N/A
ES 112 N/A N/A i minimum 46 N/A N/A grids10x10 minimum
PT N/A N/A N/A N/A N/A N/A N/A
LT N/A N/A N/A N/A N/A N/A N/A
PT N/A N/A N/A 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
BE MATL 3451 0.29 = 3451 10 100 N/A i estimate c 0.04 + x N N XX = good good good FV FV + U1 x genuine genuine 3800 b 0.49
DE MATL 41054 3.51 = 41054 1179 1179 1179 i minimum a 0.77 + i Y FV = good good good FV FV + FV noChange noChange 6900 a 0.88
DK MATL 76600 6.55 = 350 600 500 i mean a 0.32 + >> Y FV = good poor good U1 U2 + U2 + noChange genuine 88700 c 11.33
FR MATL 83700 7.15 = N/A N/A 1025 i minimum a 0.67 + Y Unk XX x good good unk FV FV = FV noChange noChange 78700 b 10.05
IE MATL 264900 22.64 = 264900 7284 9365 N/A i minimum b 5.41 + < Y FV = good good good FV FV + FV noChange noChange 17300 b 2.21
NL MATL 72800 6.22 = 2731 5534 N/A i estimate a 2.68 + Y FV = good good unk FV FV + U1 + genuine noChange 70400 b 8.99
SE MATL 2100 0.18 = 2100 23 45 34 i estimate b 0.02 u 12 i Y FV = good good good FV FV = FV noChange noChange 1500 c 0.19
UK MATL 625484 53.46 = 625484 118500 155200 138700 i interval a 90.09 + 73100 i Y FV = good good good FV FV + FV noChange noChange 515900 a 65.87
DE MBAL 14851 3.60 = 14851 10 200 105 i estimate c 0.22 + x i N Y U1 = good unk poor U1 U1 + U1 + noChange noChange 5400 a 1.57
DK MBAL 28700 6.96 = 800 1200 1000 i estimate a 2.10 + >> Y FV = good poor good U1 U2 + U2 + noChange genuine 41100 c 11.99
EE MBAL 37900 9.19 = 4900 7400 N/A i interval a 12.90 = Y FV = good good unk FV FV = FV noChange noChange 31100 b 9.07
FI MBAL 111900 27.14 = 13000 17500 N/A i mean a 31.99 = Y FV = good good good FV FV = FV noChange method 99700 a 29.08
LV MBAL 28987 7.03 = N/A N/A 3000 i estimate a 6.29 + 1500 i Y FV = good good good FV FV + FV noChange noChange N/A b 0
PL MBAL 42100 10.21 = 1 232 N/A i estimate a 0.24 + > N Y U2 u good bad bad U2 U2 = U2 + noChange genuine 33500 a 9.77
SE MBAL 147800 35.85 = 147800 21300 22796 22048 i mean a 46.25 + 10000 i Y FV = good good unk FV FV + U1 + noChange noChange 132100 c 38.52
ES MATL 220 0 + x 112 N/A N/A i minimum c 0 + x Unk XX x good good unk FV FV + N/A N/A genuine genuine 2600 N/A 0
PT MATL N/A 0 N N/ N/A N/A N/A N/A 0 x N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A d 0
LT MBAL N/A 0 N N/ N/A N/A N/A d 0 x x N N XX x unk unk unk XX XX N/A N/A noChange noChange N/A N/A 0
PT MMAC N/A 0 N N/ N/A N/A N/A N/A 0 N N/ N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A d 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 MATL 1170089 0EQ = ≈ 1170089 131102 173048 153950 adults 1 + > 74291 adults 2XP = good good good 2XP MTX + FV = nc nong FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MBAL 412238 0EQ = ≈ 412238 43011 52328 47670 adults 1 + > 11605 adults 2XP = good good good 2XP MTX + U1 + gen nc U2 A+

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MMAC 0MS x 0MS x 0MS x unk unk unk 0MS MTX x XX x nc nc XX D

02/20

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.