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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, Arthropods, Saga pedo, All bioregions. Annexes N, 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 N/A N/A 16 grids1x1 estimate 150 750 N/A i minimum
HR N/A N/A 3 grids1x1 minimum N/A N/A 3 localities minimum
IT N/A N/A 12 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 100 grids1x1 estimate N/A N/A N/A N/A
SK 17 17 N/A grids1x1 estimate 200 1000 N/A i N/A
FR N/A N/A N/A minimum N/A N/A N/A minimum
AT N/A N/A 28 grids1x1 estimate 100 500 N/A i minimum
BG N/A N/A 14 grids1x1 minimum N/A N/A N/A N/A
IT N/A N/A 18 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 2100 grids1x1 estimate N/A N/A N/A N/A
SI 3 10 N/A grids1x1 minimum N/A N/A N/A N/A
ES N/A 25 N/A grids1x1 estimate 17 N/A N/A localities estimate
FR N/A N/A N/A minimum N/A N/A N/A minimum
HR N/A N/A 31 grids1x1 minimum N/A N/A 37 localities minimum
IT N/A N/A 47 grids1x1 estimate N/A N/A N/A N/A
CZ N/A N/A 18 grids1x1 estimate N/A N/A N/A N/A
HU N/A N/A 131 grids1x1 minimum N/A N/A N/A N/A
SK 2 2 N/A grids1x1 estimate 5 10 N/A i N/A
RO N/A N/A 2500 grids1x1 estimate N/A N/A N/A N/A
FR N/A N/A N/A minimum N/A N/A N/A minimum
FR N/A N/A N/A minimum N/A N/A N/A minimum
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 400 9.74 + > N/A N/A 16 grids1x1 estimate b 10.81 + > N N U1 = poor poor poor U1 U1 + U1 + noChange noChange 200 a 8.33
HR ALP 300 7.31 x x N/A N/A 3 grids1x1 minimum c 2.03 x x Unk XX x unk unk unk XX XX N/A N/A 500 d 20.83
IT ALP 2800 68.19 + > N/A N/A 12 grids1x1 minimum b 8.11 + > Y FV + good good good FV U1 + U1 = noChange knowledge 1200 c 50
RO ALP 100 2.44 - > N/A N/A 100 grids1x1 estimate b 67.57 - 300 grids1x1 N N U2 - bad bad bad U2 U2 - N/A N/A knowledge knowledge N/A a 0
SK ALP 506.31 12.33 - > 17 17 N/A grids1x1 estimate b 11.49 - > Y U1 - poor poor poor U1 U1 - U1 = N/A N/A 500 b 20.83
FR ATL 1000 100 = ≈ N/A N/A N/A minimum d 0 x x Unk Unk XX x unk unk unk XX XX x XX noChange noChange 700 b 100
AT CON 1000 8.06 = > N/A N/A 28 grids1x1 estimate b 1.29 + > N N U1 = poor good poor U1 U1 + U1 + noChange noChange 1000 a 14.49
BG CON 3600 29 u 3600 N/A N/A 14 grids1x1 minimum c 0.65 u 14 grids1x1 Unk XX x unk unk unk XX XX x XX noChange method 1400 c 20.29
IT CON 5000 40.28 + > N/A N/A 18 grids1x1 minimum c 0.83 + > Y FV + good good good FV U1 + U1 - noChange knowledge 1800 c 26.09
RO CON 2100 16.92 - > N/A N/A 2100 grids1x1 estimate b 96.93 - 6300 grids1x1 N N U2 - bad bad bad U2 U2 - U1 N/A knowledge knowledge 1900 a 27.54
SI CON 712 5.74 - > 3 10 N/A grids1x1 minimum c 0.30 - > N Y U1 - poor poor poor U1 U1 - U1 x noChange genuine 800 c 11.59
ES MED 4600 10.98 + ≈ N/A 25 N/A grids1x1 estimate b 13.81 = 25 grids1x1 Y U1 x poor poor poor U1 U2 = U2 x noChange noChange 3000 a 10.20
FR MED 26000 62.05 = ≈ N/A N/A N/A minimum d 0 x x Unk Unk U1 x good unk poor U1 U1 x XX genuine noChange 20300 b 69.05
HR MED 2600 6.21 x x N/A N/A 31 grids1x1 minimum c 34.25 x x Unk XX x unk unk unk XX XX N/A N/A 2100 d 7.14
IT MED 8700 20.76 + > N/A N/A 47 grids1x1 estimate b 51.93 + > Y FV + good good good FV U1 + U1 - noChange knowledge 4000 c 13.61
CZ PAN 1300 11.76 + ≈ N/A N/A 18 grids1x1 estimate a 11.92 + ≈ Y FV = good good good FV FV + U1 + method noChange 600 a 9.68
HU PAN 9477 85.75 = ≈ N/A N/A 131 grids1x1 minimum b 86.75 u ≈ Y FV = good good unk FV FV = FV noChange knowledge 5200 b 83.87
SK PAN 275.40 2.49 - > 2 2 N/A grids1x1 estimate b 1.32 - > Y U1 = poor bad bad U2 U2 - U1 = knowledge N/A 400 b 6.45
RO STE 2500 100 - > N/A N/A 2500 grids1x1 estimate b 100 - 7500 grids1x1 N N U2 - bad bad bad U2 U2 - U1 N/A knowledge knowledge 2400 a 100
FR ALP 900 0 x x N/A N/A N/A minimum d 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange 400 b 0
FR CON 400 0 x x N/A N/A N/A minimum d 0 x x Unk Unk XX x unk unk unk XX XX x N/A N/A noChange noChange 300 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 4106.31 1 + 148 148 148 grids1x1 1 - 2XP - 2XP MTX - U1 = nong nong U1 C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 1000 0MS = ≈ 1000 0MS x x 0MS x unk unk unk 0MS MTX x XX x nc nc XX D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 12412 2GD - 2163 2170 2166.5 grids1x1 2GD - 2GD - 2GD MTX = XX x nong nong XX D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 41900 1 + 2GD x x 2GD x 2GD MTX x U1 x nc nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 11052.4 1 = < 11079.94 151 151 151 grids1x1 1 x < 151.2 grids1x1 2XP = 2XP MTX = U1 = nong nc U1 A+

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 2500 0MS - > 2500 2500 grids1x1 0MS - ≈ 7500 grids1x1 0MS - bad bad bad 0MS MTX - U1 x nong nong U1 C

12/19

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.