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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, Tadarida teniotis, All bioregions. Annexes N, Y-HTL, N. 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
BG N/A N/A 5 grids1x1 minimum N/A N/A N/A N/A
ES 42 4200 N/A grids1x1 estimate N/A N/A N/A N/A
FR 50 100 N/A grids1x1 mean N/A N/A N/A mean
IT 350 7000 N/A grids1x1 estimate N/A N/A N/A N/A
ES 89 8900 N/A grids1x1 estimate N/A N/A N/A N/A
FR 50 100 N/A grids1x1 mean N/A N/A N/A mean
PT N/A N/A 10 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 10 grids1x1 minimum N/A N/A N/A N/A
FR 2000 3000 N/A grids1x1 mean N/A N/A N/A mean
IT 960 19200 N/A grids1x1 estimate N/A N/A N/A N/A
ES 63 6300 N/A grids1x1 estimate N/A N/A N/A N/A
CY N/A N/A 13 grids1x1 estimate 20 1000 N/A i estimate
ES 615 61500 N/A grids1x1 estimate N/A N/A N/A N/A
FR 847 19500 N/A grids1x1 mean 2710 16258 N/A i mean
GR N/A N/A 125334 grids1x1 estimate 2876 4288 N/A grids5x5 N/A
HR N/A N/A 16 grids1x1 minimum N/A N/A N/A N/A
IT 2350 47000 N/A grids1x1 estimate N/A N/A N/A N/A
PT N/A N/A 496 grids1x1 minimum N/A N/A N/A N/A
MT N/A N/A 14 grids1x1 minimum 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
BG ALP 7700 11.58 u 7700 N/A N/A 5 grids1x1 minimum b 0.09 u 5 grids1x1 Y XX x unk unk unk XX XX x FV noInfo noInfo 400 b 2.52
ES ALP 9000 13.53 + 42 4200 N/A grids1x1 estimate b 36.10 = 4200 grids1x1 Y FV = good good good FV FV = U1 x knowledge knowledge 2700 a 16.98
FR ALP 23900 35.94 = 50 100 N/A grids1x1 mean c 1.28 = < N Y FV = good unk poor U1 U1 = XX knowledge noChange 6600 b 41.51
IT ALP 25900 38.95 = 350 7000 N/A grids1x1 estimate c 62.54 = Y FV = good good good FV FV = FV noChange noChange 6200 b 38.99
ES ATL 29100 79.51 = 89 8900 N/A grids1x1 estimate b 98.14 = 8900 grids1x1 Y FV = good good good FV FV = U1 = knowledge knowledge 8200 a 78.85
FR ATL 3600 9.84 = 50 100 N/A grids1x1 mean c 1.64 = Unk Y FV = good unk unk XX FV = FV knowledge noChange 1400 b 13.46
PT ATL 3900 10.66 = 3900 N/A N/A 10 grids1x1 minimum b 0.22 x x Unk XX x good unk unk XX XX XX noChange knowledge 800 b 7.69
BG CON 4620 8.13 u 4620 N/A N/A 10 grids1x1 minimum b 0.08 u 10 grids1x1 Y XX u unk unk unk XX XX x FV noInfo noInfo 800 b 6.45
FR CON 13800 24.29 = 2000 3000 N/A grids1x1 mean c 19.86 = Unk Unk XX = good unk unk XX XX = XX knowledge noChange 3100 b 25
IT CON 38400 67.58 = 960 19200 N/A grids1x1 estimate c 80.06 + Y FV = good good good FV FV + FV noChange noChange 8500 b 68.55
ES MAC 7900 100 = 63 6300 N/A grids1x1 estimate b 100 = 6300 grids1x1 Y FV = good good good FV FV = U1 + knowledge knowledge 5600 a 100
CY MED 7824 1.39 x N/A N/A 13 grids1x1 estimate c 0.01 x x Y FV x good unk good FV FV x FV noChange noChange 8600 b 2.73
ES MED 219300 38.82 = 615 61500 N/A grids1x1 estimate b 16.20 + 61500 grids1x1 Y FV = good good good FV FV = U1 = knowledge knowledge 67500 a 21.44
FR MED 59800 10.59 = 847 19500 N/A grids1x1 mean b 5.31 - Y Unk FV = unk bad unk U2 U2 - U1 x genuine knowledge 21900 b 6.95
GR MED 128030 22.67 = N/A N/A 125334 grids1x1 estimate b 65.36 = Y FV = good good good FV FV = FV noChange noChange 153500 b 48.75
HR MED 21400 3.79 x > N/A N/A 16 grids1x1 minimum c 0.01 x >> N Unk U1 x good unk poor U1 U2 x N/A N/A 21400 b 6.80
IT MED 90900 16.09 = 2350 47000 N/A grids1x1 estimate c 12.87 = Y FV = good good good FV FV = FV noChange noChange 25800 b 8.19
PT MED 37600 6.66 = 37600 N/A N/A 496 grids1x1 minimum b 0.26 x x Unk XX x good unk unk XX XX XX noChange knowledge 16200 b 5.14
MT MED 14 0 N N/ N/A N/A 14 grids1x1 minimum b 0 N N/ N/A N N/A N/A N/A N/A N/A N/A U1 = N/A N/A 600 b 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 ALP 2XP + grids1x1 2XP = 2XP = good good unk 2XP MTX XX x nong nong XX A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 0EQ = grids1x1 0EQ = 0EQ = good good good 0EQ MTX + U1 = nong nong U1 A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 2XP = grids1x1 2XP + 2XP = good good good 2XP MTX = FV x nc nc FV A=

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MAC 0MS = grids1x1 0MS = 6300 0MS = good good good 0MS MTX + U1 + nong nong U1 A=

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 0EQ = grids1x1 0EQ = 0EQ = good unk good 0EQ MTX = FV = nc nc 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.