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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, Arthropods, Leucorrhinia pectoralis, All bioregions. Annexes Y, Y, N. Show all Arthropods
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 6 6 N/A grids1x1 estimate N/A N/A N/A N/A
ES N/A N/A N/A grids1x1 interval N/A N/A N/A i estimate
IT 4 6 N/A grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 300 grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A 1 grids1x1 estimate N/A N/A 1 localities estimate
SK 5 5 N/A grids1x1 estimate N/A 28 N/A i N/A
BE N/A N/A 142 grids1x1 estimate 150 1000 N/A i estimate
DE 1207 1207 1207 grids1x1 estimate 140 148 144 grids5x5 estimate
FR 97 9700 N/A grids1x1 minimum N/A N/A N/A minimum
NL N/A N/A 541 grids1x1 estimate 50000 80000 N/A i estimate
EE N/A N/A 200 grids1x1 minimum N/A N/A N/A N/A
FI N/A N/A 316 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 459 grids1x1 estimate N/A N/A N/A N/A
LV N/A N/A 292 grids1x1 minimum N/A N/A N/A N/A
SE 6594 9892 8243 grids1x1 estimate N/A N/A N/A N/A
AT 143 143 N/A grids1x1 estimate N/A N/A 1137 adults estimate
BE 82 120 82 grids1x1 minimum 500 5000 3000 adults estimate
CZ N/A N/A 249 grids1x1 estimate N/A N/A N/A N/A
DE 5694 5694 5694 grids1x1 estimate 639 671 655 grids5x5 estimate
DK N/A N/A N/A estimate N/A N/A 20 localities N/A
FR 186 18600 N/A grids1x1 minimum N/A N/A N/A minimum
HR N/A N/A 6 grids1x1 estimate N/A N/A N/A N/A
PL 2800 4000 N/A grids1x1 estimate N/A N/A N/A N/A
RO N/A N/A 300 grids1x1 estimate N/A N/A N/A N/A
SE 551 827 689 grids1x1 estimate N/A N/A N/A N/A
SI N/A N/A 9 grids1x1 estimate 4 6 N/A localities estimate
CZ N/A N/A 2 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 91 grids1x1 minimum N/A N/A N/A N/A
SK 20 20 N/A grids1x1 estimate 500 1000 N/A i N/A
PL N/A N/A 3 grids1x1 minimum N/A N/A N/A N/A
IT 2 3 N/A grids1x1 estimate N/A N/A N/A N/A
LU N/A N/A 1 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
AT ALP 600 20.71 = > 6 6 N/A grids1x1 estimate b 1.89 x > Unk Unk U2 x poor poor poor U1 U2 x U2 x noChange noChange 600 b 26.09
ES ALP N/A 0 = > N/A N/A N/A grids1x1 interval c 0 = x Unk XX = unk unk unk XX XX N/A N/A noChange noChange 100 a 4.35
IT ALP 1400 48.33 = 4 6 N/A grids1x1 estimate c 1.58 = > N Unk U1 = good good good FV U1 = U2 - noChange noChange 800 b 34.78
RO ALP 300 10.36 - > N/A N/A 300 grids1x1 estimate b 94.64 - 900 grids1x1 N N U2 - bad bad bad U2 U2 - U1 N/A knowledge knowledge 200 a 8.70
SI ALP 81 2.80 x >> N/A N/A 1 grids1x1 estimate c 0.32 x x N Unk U2 x unk unk bad U2 U2 x N/A N/A knowledge knowledge 100 b 4.35
SK ALP 515.54 17.80 u > 5 5 N/A grids1x1 estimate b 1.58 = > Y U1 - good poor poor U1 U2 x U2 = N/A N/A 500 b 21.74
BE ATL 14400 12.93 + N/A N/A 142 grids1x1 estimate a 2.09 + >> N Y U1 + good poor good U1 U2 + U2 + noChange noChange 5300 a 10.43
DE ATL 50852 45.67 = > 1207 1207 1207 grids1x1 estimate b 17.78 + > grids5x5 N N U1 + poor poor poor U1 U1 + U1 + noChange noChange 16100 b 31.69
FR ATL 24300 21.82 = 97 9700 N/A grids1x1 minimum b 72.16 x x Y U1 - unk unk unk XX U1 x U1 = noChange noChange 13000 b 25.59
NL ATL 21800 19.58 + N/A N/A 541 grids1x1 estimate a 7.97 - Y FV + good good good FV U1 = FV genuine method 16400 a 32.28
EE BOR 20100 5.02 = N/A N/A 200 grids1x1 minimum b 2.10 = Y FV = good unk good FV FV = FV noChange noChange 8500 a 9.66
FI BOR 49900 12.46 = N/A N/A 316 grids1x1 minimum b 3.32 = Y FV = good good good FV FV = FV noChange method 18900 a 21.48
LT BOR 60400 15.09 = N/A N/A 459 grids1x1 estimate b 4.83 = Y FV = good good good FV FV = FV knowledge knowledge 20200 b 22.95
LV BOR 64371 16.08 = x N/A N/A 292 grids1x1 minimum b 3.07 x > Y FV x good good good FV FV x U1 x knowledge noChange N/A b 0
SE BOR 205600 51.35 = 205600 6594 9892 8243 grids1x1 estimate a 86.68 = 8300 grids1x1 Y FV = good good good FV FV = FV noChange noChange 40400 b 45.91
AT CON 2600 0.78 - >> 143 143 N/A grids1x1 estimate a 0.72 - >> N N U2 - bad bad bad U2 U2 - U2 - noChange noChange 1800 b 1.46
BE CON 8900 2.67 + 82 120 82 grids1x1 minimum b 0.41 = > Y FV + good unk poor U1 U1 + U2 + genuine noChange 2800 a 2.27
CZ CON 44300 13.28 = N/A N/A 249 grids1x1 estimate a 1.25 = Y FV = good good poor U1 U1 = U1 = noChange noChange 13600 a 11.02
DE CON 148170 44.42 + 148170 5694 5694 5694 grids1x1 estimate b 28.52 + > grids5x5 N Unk U1 = good poor poor U1 U1 + U1 = noChange knowledge 48400 b 39.22
DK CON 2290 0.69 + > N/A N/A N/A estimate b 0 + >> N Y FV + poor poor good U1 U1 + U2 + N/A N/A 1500 b 1.22
FR CON 16500 4.95 = > 186 18600 N/A grids1x1 minimum b 47.05 x x Y U1 - poor unk unk XX U1 x U1 = noChange noChange 7400 b 6
HR CON 1900 0.57 x x N/A N/A 6 grids1x1 estimate c 0.03 x 6 grids1x1 Unk XX x unk unk unk XX XX N/A noChange noChange 500 c 0.41
PL CON 84500 25.33 = x 2800 4000 N/A grids1x1 estimate b 17.03 = x Y FV = good good good FV FV = FV noChange noChange 38100 d 30.88
RO CON 300 0.09 - > N/A N/A 300 grids1x1 estimate b 1.50 - 900 grids1x1 N N U2 - bad bad bad U2 U2 - N/A N/A knowledge knowledge 300 a 0.24
SE CON 23800 7.14 = 23800 551 827 689 grids1x1 estimate a 3.45 = 700 grids1x1 Y FV = good good good FV FV = FV noChange noChange 8700 b 7.05
SI CON 288 0.09 - >> N/A N/A 9 grids1x1 estimate b 0.05 - >> N N U2 - bad bad bad U2 U2 - U2 - noChange noChange 300 b 0.24
CZ PAN 1000 11.66 u x N/A N/A 2 grids1x1 estimate a 1.77 u x Unk XX = unk unk unk XX XX N/A N/A knowledge knowledge 200 a 2.63
HU PAN 6982 81.39 u N/A N/A 91 grids1x1 minimum b 80.53 - > Unk U1 - good poor poor U1 U1 - U1 = noChange knowledge 6700 b 88.16
SK PAN 596.52 6.95 = 20 20 N/A grids1x1 estimate b 17.70 = Y U1 + good poor poor U1 U1 + FV knowledge knowledge 700 b 9.21
PL ALP 400 0 x x N/A N/A 3 grids1x1 minimum c 0 x x Unk XX x unk unk unk XX XX XX noChange noChange 100 d 0
IT CON 200 0 x x 2 3 N/A grids1x1 estimate c 0 x x N/A N N/A N/A N/A N/A N/A N/A N/A N/A N/A N/A 200 b 0
LU CON 100 0 = 2600 N/A N/A 1 grids1x1 minimum c 0 = 10 grids1x1 N N U2 = poor bad bad U2 U2 x N/A N/A noChange noChange 100 c 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 2815.54 2GD - 2GD x grids1x1 2GD - 2GD MTX x U2 - nc nong U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 111352 1 + < 116337.2 1987 11590 6788.5 grids1x1 2XP x 2XP - 2XP MTX x U1 + nc nong U2 B1

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 400371 0EQ = ≈ 400371 7861 11159 9510 grids1x1 1 = < 9596.2 grids1x1 0EQ = good good good 0EQ MTX = FV = nc nc FV A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 333248 2GD + 2GD + 2GD = 2GD MTX + U1 = nc nong U1 B1

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 8578.52 1 = 113 113 113 grids1x1 1 - < 122.1 2XP 2XP MTX - U1 = nc nong U1 C

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.