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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, 2170 Dunes with Salix repens ssp. argentea (Salicion arenariae), 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)
0.31 0.46 N/A
2.46 0.07 0.09
4.13 3.07 N/A
N/A N/A N/A
1.96 0.65 N/A
N/A N/A 25
1.17 3.29 2.26
0.10 N/A 0.10
N/A N/A 0.49
N/A N/A 0.06
0.07 0.03 0.30
1.24 0.92 N/A
1.09 0.91 N/A
N/A N/A 0.15
N/A N/A 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
BE ATL 1100 4.24 = 0.77 0.78 0.77 estimate a 2.01 + > 0.10 - 0.52 0.25 - 0.67 N/A - N/A U2 x good good unk FV U2 = U1 = method noChange 600 a 2.33
DE ATL 2545 9.81 = 2.76 2.76 2.76 estimate a 7.20 = 2.46 - 2.46 0.07 - 0.07 0.09 - 0.09 FV = good good good FV FV = FV N/A noChange noChange 2300 b 8.91
DK ATL 750 2.89 = N/A N/A 7.20 estimate b 18.77 = 2.85 - 5.41 1.79 - 4.35 N/A - N/A U1 x good good poor U1 U1 x U1 x N/A N/A 2800 b 10.85
FR ATL 6900 26.59 = 6 12 N/A minimum c 23.46 u x N/A - N/A N/A - N/A N/A - N/A U1 x unk unk unk XX U1 x U1 - noChange knowledge 6900 c 26.74
IE ATL 3000 11.56 = 3000 N/A N/A 2.61 minimum a 6.80 = 1.96 - 1.96 0.65 - 0.65 N/A - N/A U1 = good good poor U1 U1 = U1 = noChange noChange 1900 a 7.36
NL ATL 4100 15.80 = N/A N/A 9.30 estimate a 24.25 = N/A - N/A N/A - N/A 25 - 25 FV = good good good FV FV = U1 x method method 3800 a 14.73
UK ATL 7555.87 29.12 = 7555.87 N/A N/A 6.72 estimate b 17.51 u > 1 - 1.33 3.23 - 3.35 2.08 - 2.45 U2 - good poor bad U2 U2 - U2 = noChange genuine 7500 a 29.07
LT BOR 104.70 7.10 = 104.70 N/A N/A 0.22 estimate a 28.39 - > 0.10 - 0.10 N/A - N/A 0.10 - 0.10 XX u good poor poor U1 U1 x U1 = knowledge knowledge N/A a 0
LV BOR 669 45.40 u 0.29 0.70 N/A estimate b 63.87 - > N/A - N/A N/A - N/A 0.29 - 0.70 XX - good poor poor U1 U1 - U1 = genuine genuine 700 b 100
SE BOR 700 47.50 = 700 N/A N/A 0.06 estimate c 7.74 x >> N/A - N/A N/A - N/A 0.06 - 0.06 U2 x good bad bad U2 U2 x XX N/A method noChange N/A b 0
DE CON 1902 25.59 - > 0.07 0.32 0.10 estimate a 2.27 = > 0.06 - 0.08 0.02 - 0.04 N/A - 0.61 U2 - poor poor bad U2 U2 - U1 - knowledge noChange 1400 b 27.45
DK CON 530 7.13 = N/A N/A 2.16 estimate b 48.98 = 0.91 - 1.57 0.59 - 1.25 N/A - N/A U2 x good good bad U2 U2 x U1 x N/A N/A 1900 b 37.25
PL CON 2000 26.91 = N/A N/A 2 estimate b 45.35 = 0.73 - 1.45 0.55 - 1.27 N/A - N/A U1 - poor poor poor U1 U1 - U1 = noChange knowledge 1600 b 31.37
SE CON 3000 40.37 = 3000 N/A N/A 0.15 estimate c 3.40 x >> N/A - N/A N/A - N/A 0.15 - 0.15 U2 x good bad bad U2 U2 x XX N/A method noChange 200 b 3.92
PT MED 3000 100 = N/A N/A N/A d 0 - N/A - N/A N/A - N/A N/A - N/A U2 - good bad bad U2 U2 - U2 = noChange knowledge 2100 c 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 ATL 25950.87 0EQ = ≈ 25950.87 35.36 41.37 38.36 1 = > 38.36 - | - | - - | - | - - | - | - 2XA - good poor poor 2XA MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 1473.7 0EQ = ≈ 1473.7 0.57 0.98 0.78 1 - > 0.78 0.1 | 0.1 | 0.1 0 | 0 | 0 0.45 | 0.86 | 0.66 2XA - good poor unk 2XA MTX - U1 = nc gen U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 7432 1 - > 7432 4.38 4.63 4.41 1 = > 4.41 1.70 | 3.10 | 2.40 1.16 | 2.56 | 1.86 0.15 | 0.76 | 0.46 2XA x poor poor bad 2XA MTX x U1 = nong nong U1 D

04/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 3000 0MS = ≈ 3000 0MS - - | - | - - | - | - - | - | - 0MS - good bad bad 0MS MTX - U2 = nc nong U2 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.