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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 PL

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, Arthropods, Astacus astacus, All bioregions. Annexes N, N, Y. 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 55 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 16 grids1x1 minimum N/A N/A N/A N/A
HR N/A N/A 16 grids1x1 minimum N/A N/A N/A N/A
PL N/A N/A 16 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 9800 grids1x1 estimate N/A N/A N/A N/A
SI 31 32 N/A grids1x1 minimum N/A N/A N/A N/A
SK 830 830 N/A grids1x1 estimate 894 4178 N/A i N/A
BE 12 N/A 12 grids1x1 minimum N/A N/A N/A N/A
DE 350 350 350 grids1x1 minimum 60 61 60.50 grids5x5 minimum
DK N/A N/A N/A N/A N/A N/A N/A
NL N/A N/A 1 grids1x1 estimate 600 N/A N/A i minimum
EE N/A N/A 545 grids1x1 minimum 250 300 N/A localities minimum
FI N/A N/A 2833 grids1x1 minimum N/A N/A N/A N/A
LT N/A N/A 154 grids1x1 estimate N/A N/A N/A N/A
LV N/A N/A 1440 grids1x1 estimate N/A N/A N/A N/A
SE 600 700 650 grids1x1 estimate N/A N/A N/A N/A
AT 445 N/A N/A grids1x1 minimum N/A N/A N/A N/A
BE 62 N/A 62 grids1x1 minimum N/A N/A N/A N/A
BG N/A N/A 52 grids1x1 minimum N/A N/A N/A N/A
CZ N/A N/A 1029 grids1x1 minimum N/A N/A N/A N/A
DE 2171 2171 2171 grids1x1 estimate 841 850 845.50 grids5x5 estimate
DK N/A N/A N/A N/A N/A N/A N/A
FR 500 1000 N/A grids1x1 mean 190 200 N/A localities mean
HR N/A N/A 170 grids1x1 minimum N/A N/A N/A N/A
LU N/A N/A 2 grids1x1 estimate N/A N/A N/A N/A
PL N/A N/A 81 grids1x1 minimum N/A N/A N/A N/A
RO N/A N/A 16100 grids1x1 estimate N/A N/A N/A N/A
SE 7 20 15 grids1x1 estimate N/A N/A N/A N/A
SI 72 73 N/A grids1x1 minimum N/A N/A N/A N/A
GR N/A N/A 1096 grids1x1 estimate 13 22 N/A grids10x10 estimate
CZ N/A N/A 8 grids1x1 estimate 8 10 N/A grids10x10 N/A
HU N/A N/A 285 grids1x1 minimum N/A N/A N/A N/A
SK 84 84 N/A grids1x1 estimate N/A 623 N/A i N/A
HR N/A N/A 12 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 4300 8.90 - x 55 N/A N/A grids1x1 minimum b 0.51 - > Y U1 = unk unk poor XX U1 - U1 - noChange noChange 4000 b 14.23
BG ALP 7600 15.73 = 7600 N/A N/A 16 grids1x1 minimum c 0.15 = 16 grids1x1 Y FV = unk unk unk XX FV = FV method method 1400 c 4.98
HR ALP 700 1.45 u N/A N/A 16 grids1x1 minimum c 0.15 - > Unk U1 - unk poor poor U1 U1 - N/A N/A 1300 a 4.63
PL ALP 10900 22.57 u N/A N/A 16 grids1x1 minimum b 0.15 u Y U1 - unk poor poor U1 U1 x U1 = noChange knowledge 3900 b 13.88
RO ALP 9800 20.29 - > N/A N/A 9800 grids1x1 estimate b 91.04 - Unk U1 - poor poor poor U1 U1 - U1 N/A knowledge knowledge 4800 a 17.08
SI ALP 3844 7.96 x x 31 32 N/A grids1x1 minimum c 0.29 x x Unk XX x unk unk unk XX XX U1 x noInfo noInfo 1100 c 3.91
SK ALP 11157.56 23.10 = > 830 830 N/A grids1x1 estimate b 7.71 + Y FV = good good good FV U1 + U1 = N/A N/A 11600 b 41.28
BE ATL 800 7.41 = 12 N/A 12 grids1x1 minimum a 3.31 = Y FV = good good good FV FV = U1 = noChange noChange 700 a 11.11
DE ATL 9890 91.66 - >> 350 350 350 grids1x1 minimum c 96.42 x >> grids5x5 N N U2 = unk unk bad U2 U2 - U2 - noChange noChange 5500 b 87.30
DK ATL N/A 0 x x N/A N/A N/A d 0 x x Unk Unk XX x unk unk unk XX XX x XX N/A N/A N/A d 0
NL ATL 100 0.93 = >> N/A N/A 1 grids1x1 estimate a 0.28 = >> N N U2 = bad bad poor U2 U2 = U2 + noChange genuine 100 a 1.59
EE BOR 40600 11.83 = N/A N/A 545 grids1x1 minimum b 9.69 = Y U1 = poor good poor U1 U1 = U1 = noChange knowledge 19800 a 25.58
FI BOR 75200 21.91 - N/A N/A 2833 grids1x1 minimum b 50.39 - Y U1 = poor poor poor U1 U1 - FV genuine method 21200 b 27.39
LT BOR 59566 17.35 - > N/A N/A 154 grids1x1 estimate c 2.74 - >> N Y U1 - bad bad poor U2 U2 - U2 x knowledge knowledge 8900 b 11.50
LV BOR 56978 16.60 = x N/A N/A 1440 grids1x1 estimate a 25.61 = 222 grids1x1 Y U1 = poor poor poor U1 U1 = U1 = noChange noChange N/A a 0
SE BOR 110900 32.31 - 150000 600 700 650 grids1x1 estimate a 11.56 - 1500 grids1x1 Y U2 - poor poor poor U2 U2 - U2 - noChange noChange 27500 a 35.53
AT CON 5700 1.98 - x 445 N/A N/A grids1x1 minimum b 2.12 - > Y U1 - unk bad poor U2 U2 - U2 - noChange noChange 4600 b 3.11
BE CON 4500 1.56 = 62 N/A 62 grids1x1 minimum a 0.30 - > N Unk U2 - bad bad poor U2 U2 - U2 = noChange method 4300 a 2.91
BG CON 18300 6.34 = 18300 N/A N/A 52 grids1x1 minimum c 0.25 = 52 grids1x1 Y FV = unk unk unk XX FV = FV method method 4300 c 2.91
CZ CON 77500 26.86 + N/A N/A 1029 grids1x1 minimum b 4.91 + Y FV = good good good FV FV + FV genuine genuine 39400 a 26.64
DE CON 76085 26.37 - > 2171 2171 2171 grids1x1 estimate c 10.36 - > grids5x5 N Y U1 - poor poor bad U2 U2 - U2 - noChange noChange 46100 b 31.17
DK CON N/A 0 x x N/A N/A N/A d 0 x x Unk Unk XX x unk unk unk XX XX x XX N/A N/A N/A d 0
FR CON 16200 5.61 - > 500 1000 N/A grids1x1 mean a 3.58 - > N N U2 - bad bad bad U2 U2 - U2 - noChange noChange 7900 c 5.34
HR CON 6900 2.39 u N/A N/A 170 grids1x1 minimum c 0.81 - x Unk U1 - unk poor poor U1 U1 - N/A N/A 5600 a 3.79
LU CON 400 0.14 = >> N/A N/A 2 grids1x1 estimate a 0.01 = >> N N U2 = bad bad bad U2 U2 = U2 x noChange knowledge 200 a 0.14
PL CON 52100 18.05 u > N/A N/A 81 grids1x1 minimum c 0.39 - >> Y U1 - poor poor poor U1 U2 - U2 - noChange noChange 19300 b 13.05
RO CON 16100 5.58 - > N/A N/A 16100 grids1x1 estimate b 76.85 - Y U1 - poor poor poor U1 U1 - U1 N/A knowledge knowledge 12300 a 8.32
SE CON 4000 1.39 - 10000 7 20 15 grids1x1 estimate a 0.07 - 120 grids1x1 N N U2 - poor poor poor U2 U2 - U2 - noChange noChange 800 a 0.54
SI CON 10790 3.74 x x 72 73 N/A grids1x1 minimum c 0.35 x x Unk XX x unk unk unk XX XX U1 x noInfo noInfo 3100 c 2.10
GR MED 1945 100 = N/A N/A 1096 grids1x1 estimate b 100 - 22 grids10x10 Unk XX x good poor unk U1 U1 - U1 - noChange noChange 1300 b 100
CZ PAN 41000 78.37 = 41000 N/A N/A 8 grids1x1 estimate b 2.12 u N N U1 - poor poor poor U1 U1 x U1 = noChange noChange 600 a 5.08
HU PAN 9701 18.54 - > N/A N/A 285 grids1x1 minimum b 75.60 - > Y U1 - poor poor poor U1 U1 - U1 - noChange noChange 9600 a 81.36
SK PAN 1617.80 3.09 x > 84 84 N/A grids1x1 estimate c 22.28 x > Y FV x unk good good FV U2 x XX knowledge N/A 1600 b 13.56
HR MED 1200 0 x x N/A N/A 12 grids1x1 minimum c 0 x x Unk XX x unk unk unk XX XX N/A N/A 600 a 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 48301 2GD x > grids1x1 2GD - 2GD - poor poor poor 2GD MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 10790 2XP - >> grids1x1 2XP x >> 2XP = unk unk bad 2XP MTX - U2 - nc nc U2 C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 343244 2XP - > grids1x1 2XP - > grids1x1 2XP = poor poor poor 2XP MTX - U2 - nong nc FV C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 2XP - > grids1x1 2XP - 2XP - poor poor poor 2XP MTX - U2 - nong nc U2 C

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 2XP = 1096 grids1x1 2XP - >> 2XP x good poor unk 2XP MTX - U1 - nc nc XX C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 2XP = > grids1x1 2XP - > 2XP - poor poor poor 2XP MTX - XX - nong nc XX C

03/20

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.