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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.

Warning: The map does not show the distribution for sensitive species in GR

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

Sensitive spatial information for this species is not shown in the map.

Current selection: 2013-2018, Mammals, Myotis nattereri, Continental. Annexes N, Y-HTL, N. Show all Mammals
Member States reports
MS 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 79 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BE N/A N/A 418 grids1x1 minimum 2000 5000 N/A iwintering estimate
BG N/A N/A 15 grids1x1 minimum N/A N/A N/A N/A
CZ 2818 2818 N/A grids1x1 estimate N/A N/A N/A N/A
DE 176667 176667 176667 grids1x1 estimate 1644 1707 1675.50 grids5x5 estimate
DK N/A N/A N/A N/A N/A 18 localities N/A
FR 66000 95000 N/A grids1x1 mean 600000 800000 N/A mean
HR N/A N/A 15 grids1x1 minimum N/A N/A N/A N/A
IT 400 4000 N/A grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 1400 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 23700 grids1x1 estimate 15000 50000 N/A i estimate
RO 300 500 N/A grids1x1 minimum N/A N/A N/A N/A
SE N/A N/A 117 grids1x1 estimate 1000 3000 2000 i estimate
SI 20 25 N/A grids1x1 estimate 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
AT 5300 0.86 = > 79 N/A N/A grids1x1 minimum b 0.03 x x Y FV = good unk good FV U1 = U1 x noChange knowledge 4300 b 1.21
BE 14300 2.31 = N/A N/A 418 grids1x1 minimum a 0.14 + Y FV = good good good FV FV + FV noChange noChange 9900 b 2.79
BG 24100 3.90 = 24100 N/A N/A 15 grids1x1 minimum b 0.01 = 1 grids1x1 Y FV = poor poor poor U1 U1 = U1 - noChange method 18600 b 5.24
CZ 80000 12.93 = 2818 2818 N/A grids1x1 estimate a 0.98 = > Y FV = good poor good FV U1 = U1 = noChange noChange 40300 a 11.35
DE 286945 46.38 = 176667 176667 176667 grids1x1 estimate b 61.27 + 1675 grids5x5 Y FV = good good good FV FV + FV noChange method 191500 c 53.91
DK 1538 0.25 = N/A N/A N/A d 0 u > Unk Y XX u good poor unk U1 U1 x XX N/A N/A 1700 b 0.48
FR 58800 9.50 = 66000 95000 N/A grids1x1 mean b 27.92 + Y Y FV = good good poor U1 U1 + U1 = noChange noChange 41900 b 11.80
HR 4800 0.78 x >> N/A N/A 15 grids1x1 minimum c 0.01 x >> N Unk XX x unk unk unk XX U2 x N/A N/A 4900 b 1.38
IT 30700 4.96 = 400 4000 N/A grids1x1 estimate c 0.76 = Y FV = good good good FV FV = U1 - noChange noChange 7200 c 2.03
LU 3700 0.60 = N/A N/A 1400 grids1x1 estimate c 0.49 u > N N U1 - good poor poor U1 U1 - U1 x noChange genuine 2800 c 0.79
PL 76800 12.41 = N/A N/A 23700 grids1x1 estimate c 8.22 + Y FV = good good good FV FV + FV noChange noChange 23500 b 6.62
RO 3000 0.48 = 300 500 N/A grids1x1 minimum b 0.14 = Y U1 = poor poor poor U1 U1 = U1 = knowledge knowledge 1400 b 0.39
SE 16100 2.60 = 16100 N/A N/A 117 grids1x1 estimate c 0.04 = 2000 i N Unk U1 = good poor unk U1 U1 = U2 - genuine genuine 5400 c 1.52
SI 12616 2.04 = 12616 20 25 N/A grids1x1 estimate c 0.01 u Y XX x good poor unk U1 U1 x FV knowledge noChange 1800 b 0.51
Automatic Assessments Show,Hide
EU biogeographical assessments
MS/EU28 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 618699 1 = ≈ 619229 2GD + 2GD = 2GD MTX + U1 = nong nong U1 A=

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.