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Habitat 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 habitat type belonging to that group.
Optionally, further refine your query by selecting one of the available biogeographical regions for that habitat type.
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 habitat.

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, Dunes habitats, 2330 Inland dunes with open Corynephorus and Agrostis grasslands, All bioregions. Show all Dunes habitats
Member States reports
MS Region Range (km2) Area (km2) Structure and functions (km2) Future prospects Overall assessment Distribution area(km2)
Surface Status
(% MS)
Trend FRR Min Max Best value Type est. Method Status
(% MS)
Trend FRA
Area in good condition (km2)
Good
(adjusted mean value)
Not good
(adjusted mean value)
Not Known
(adjusted mean value)
N/A N/A N/A
2.65 5.90 1.59
4.48 1.87 N/A
0.56 0.30 N/A
15.25 15.05 29.70
22.35 20.65 N/A
N/A N/A N/A
1.20 N/A N/A
N/A N/A 0.50
N/A N/A 4.60
N/A N/A 0.48
1.30 2.40 N/A
0.07 0.07 0.17
1.49 3.12 2.11
28.89 5.35 3.21
0.06 0.05 N/A
1.45 0.02 0.53
0.07 N/A N/A
18.75 16.25 N/A
0.60 3 N/A
N/A N/A 1110.02
N/A N/A N/A
0.55 0.01 N/A
Good
Not good Not known Status Trend Range
prosp.
Area
prosp.
S & f
prosp.
Status Curr. CS Curr. CS
trend
Prev. CS Prev. CS
trend
Status
Nat.
of ch.
CS trend
Nat. of ch.
Distrib. Method % MS
IT ALP 100 0 x >> N/A N/A 1 estimate b 0 x >> N/A - N/A N/A - N/A 1 - 1 U2 x bad bad bad U2 U2 x N/A N/A knowledge noChange N/A b 0
BE ATL 11400 20.66 = 10.04 10.48 10.16 estimate a 11.09 + >> 0.77 - 4.53 3.98 - 7.82 1.58 - 1.60 U2 u good bad bad U2 U2 = U2 + method noChange 7000 a 19.18
DE ATL 13387 24.26 = >> 6.04 6.66 6.35 estimate a 6.93 - 13.55 3.92 - 5.04 1.31 - 2.43 N/A - N/A U2 - bad unk unk U2 U2 - U2 - noChange noChange 10600 a 29.04
DK ATL 700 1.27 = N/A N/A 0.87 estimate b 0.95 = 0.53 - 0.60 0.27 - 0.34 N/A - N/A U2 x good good bad U2 U2 x U2 x N/A N/A 1700 b 4.66
FR ATL 19000 34.43 x > 30 30 N/A minimum c 32.76 - > 0.50 - 30 0.10 - 30 29.40 - 30 U2 u poor poor poor U1 U2 x U2 = noChange noChange 9100 b 24.93
NL ATL 8400 15.22 = N/A N/A 43 estimate a 46.96 = > 11.60 - 33.10 9.90 - 31.40 N/A - N/A U2 x poor poor bad U2 U2 = U2 = noChange noChange 6300 a 17.26
PT ATL 1200 2.17 = N/A N/A N/A d 0 = N/A - N/A N/A - N/A N/A - N/A U1 = good good poor U1 U1 - U1 = noChange knowledge 1100 c 3.01
UK ATL 1100 1.99 = 1100 N/A N/A 1.20 estimate a 1.31 = 1.20 1.20 - 1.20 N/A - N/A N/A - N/A FV = good good poor U1 U1 = U2 = genuine noChange 700 a 1.92
EE BOR 1300 1.68 = N/A N/A 0.50 estimate b 5.39 = N/A - N/A N/A - N/A 0.50 - 0.50 U1 = good good poor U1 U1 = U1 x noChange noChange 1200 b 10.08
LT BOR 64787 83.72 = 64787 N/A N/A 4.60 estimate a 49.57 x N/A - N/A N/A - N/A 4.60 - 4.60 U2 u good bad bad U2 U2 x U2 - knowledge knowledge 6100 a 51.26
LV BOR 0.46 0 x x 0.46 0.50 N/A estimate b 5.17 x x N/A - N/A N/A - N/A 0.46 - 0.50 XX x unk unk poor XX XX U1 - knowledge knowledge 200 a 1.68
SE BOR 11300 14.60 = > N/A N/A 3.70 estimate b 39.87 x >> 1.30 - 1.30 2.40 - 2.40 N/A - N/A U2 - poor bad bad U2 U2 x U2 = noChange method 4400 b 36.97
BE CON 400 0.48 = 0.28 0.32 0.28 minimum a 0.30 = >> 0.06 - 0.07 0.06 - 0.07 0.16 - 0.18 U2 x good bad unk U2 U2 x U2 x noChange noChange 300 a 0.56
CZ CON 13200 15.71 = N/A N/A 6.72 estimate a 7.18 = 1.49 - 1.49 3.12 - 3.12 2.11 - 2.11 U2 - poor poor poor U1 U2 - U2 - genuine knowledge 8900 a 16.70
DE CON 35265 41.97 - > 36.99 42.46 39.73 estimate a 42.40 - >> 28.58 - 29.19 5.30 - 5.40 0.38 - 6.04 U1 - unk bad bad U2 U2 - U2 - noChange noChange 25600 a 48.03
DK CON 150 0.18 = N/A N/A 0.11 estimate b 0.12 = > 0.06 - 0.06 0.05 - 0.05 N/A - N/A U2 x good poor bad U2 U2 x U2 x N/A N/A 700 b 1.31
FR CON 13000 15.47 = > N/A N/A 2 minimum c 2.13 - >> 1.45 - 1.45 0.02 - 0.02 0.53 - 0.53 U1 + poor poor poor U1 U2 x U2 = noChange noChange 5000 b 9.38
IT CON 1200 1.43 - >> 3.50 9.01 N/A estimate b 6.68 = >> 0.07 - 0.07 N/A - N/A N/A - N/A U2 - bad bad bad U2 U2 - U2 x noChange knowledge 700 b 1.31
PL CON 16000 19.04 = N/A N/A 35 interval b 37.36 = 11 - 26.50 8.50 - 24 N/A - N/A U1 = good good good FV U1 = U2 - knowledge knowledge 10200 b 19.14
SE CON 4800 5.71 = > N/A N/A 3.60 estimate b 3.84 x >> 0.60 - 0.60 3 - 3 N/A - N/A U2 - poor bad bad U2 U2 x U2 = noChange method 1900 b 3.56
FR MED 2600 9.89 - x N/A N/A 1110.02 estimate c 100 - >> N/A - N/A N/A - N/A 1110.02 - 1110.02 XX x poor poor unk U2 U2 - U2 - noChange noChange 1400 b 6.67
PT MED 23700 90.11 = N/A N/A N/A d 0 = N/A - N/A N/A - N/A N/A - N/A FV = good good good FV FV + U1 = knowledge knowledge 19600 c 93.33
CZ PAN 800 100 = N/A N/A 0.56 estimate a 100 = 0.55 - 0.55 0.01 - 0.01 N/A - N/A FV = poor poor poor FV FV = FV N/A genuine knowledge 400 a 100
Automatic Assessments Show,Hide
EU biogeographical assessments
MS/EU28 Region Surface Status
Range
Trend FRR Min Max Best value Status
Area
Trend FRA Good Not good Not known Status Str.
& funct.
Trend Range
prosp.
Area
prosp.
S & f
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 100 0MS x >> 100 1 1 1 0MS x >> 1 0 | 0 | 0 0 | 0 | 0 1 | 1 | 1 0MS x bad bad bad 0MS MTX x XX N/A nong nong N/A D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 55187 2GD = >> 55187 2GD - >> - | - | - - | - | - - | - | - 2GD x 2GD MTX - U2 - nc nc U2 C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 26300 2GD = ≈ 26300 2GD = - | - | - - | - | - - | - | - 2GD = 2GD MTX + U1 = nong nong U1 A=

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 77387 2XA = > 77387 9.26 9.30 9.28 2XA x >> 9.28 1.30 | 1.30 | 1.30 2.40 | 2.40 | 2.40 5.56 | 5.60 | 5.58 1 x 2XA MTX x U2 - nc nong U2 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 84015 1 - > 84015 88.20 99.23 93.70 2XA - >> 93.70 - | - | - - | - | - - | - | - 2XA - 2XA MTX - U2 - nc nc U2 C

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 800 0MS = ≈ 800 0.56 0.56 0.56 0MS = ≈ 0.56 0.55 | 0.55 | 0.55 0.01 | 0.01 | 0.01 0 | 0 | 0 0MS = 0MS MTX = FV = nc nc FV A=

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.