Article 17 web tool

Log in

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, 2130 Fixed coastal dunes with herbaceous vegetation ("grey dunes"), 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)
6.09 1.39 N/A
24.62 5.79 2.94
29.84 46.16 N/A
1.08 0.59 19.80
150 150 150
51.30 29.55 N/A
80 83 N/A
N/A N/A N/A
37.65 99.57 55.30
N/A N/A 4.73
1.75 0.30 0.30
3.95 0.35 N/A
1 1.40 N/A
N/A N/A 8.50
3.04 9.11 N/A
4.20 10.80 N/A
5.39 1.80 N/A
32.15 48.85 N/A
4.65 2.93 0.22
3.75 56.25 N/A
3.40 10.60 N/A
106.77 30.30 N/A
0.10 0.11 1
0.35 24.07 N/A
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 1300 1.32 = 7.21 7.97 7.44 estimate a 0.66 + > 5.68 - 6.50 0.98 - 1.80 N/A - N/A U2 + good poor poor U1 U2 + U2 = noChange method 1000 a 1.07
DE ATL 4187 4.24 = 4187 33.25 33.44 33.34 estimate a 2.97 = 24.62 - 24.62 5.79 - 5.79 2.94 - 2.94 U1 - good unk poor U1 U1 - U1 - noChange noChange 3400 b 3.63
DK ATL 750 0.76 = N/A N/A 76 estimate b 6.77 = 18.31 - 41.36 34.64 - 57.69 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 5300 b 5.66
ES ATL 12900 13.08 = N/A N/A 21.17 estimate a 1.88 = 0.78 - 1.39 0.27 - 0.91 19.48 - 20.12 U1 x good poor unk U1 U1 = U1 = noChange noChange 6600 b 7.04
FR ATL 18900 19.16 = 500 600 N/A estimate c 48.97 - 100 - 200 100 - 200 100 - 200 U1 x good poor poor U1 U1 x U1 x noChange noChange 19700 a 21.02
IE ATL 16600 16.83 = 16600 N/A N/A 80.84 minimum a 7.20 = > 42.04 - 60.55 20.29 - 38.80 N/A - N/A U2 - good poor bad U2 U2 - U2 = noChange method 10700 a 11.42
NL ATL 5900 5.98 = N/A N/A 163 estimate a 14.51 - > 36 - 124 39 - 127 N/A - N/A U1 x good poor poor U1 U1 x U2 x method noChange 5600 a 5.98
PT ATL 1100 1.12 = 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 1000 c 1.07
UK ATL 37016.78 37.52 = 37016.78 N/A N/A 191.42 estimate a 17.04 - > 35.53 - 39.77 90.40 - 108.73 50.59 - 60.02 U2 - good poor bad U2 U2 - U2 - noChange noChange 40400 a 43.12
BG BLS 1900 76 + 1900 N/A N/A 4.73 minimum b 70.27 = 4.73 N/A - N/A N/A - N/A 4.73 - 4.73 XX x poor poor poor U1 U1 = U1 = method method 1400 b 70
RO BLS 600 24 + 1.80 2.20 N/A interval b 29.73 + 1.50 - 2 0.10 - 0.50 0.10 - 0.50 FV + good poor good XX U1 + U1 - knowledge knowledge 600 b 30
EE BOR 8200 19.93 = 2.60 6 N/A estimate b 8.46 = 2.40 - 5.50 0.20 - 0.50 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 5500 b 20.68
FI BOR 8800 21.39 = N/A N/A 2.40 estimate a 4.72 - > 0.70 - 1.30 1.10 - 1.70 N/A - N/A U2 - good poor bad U2 U2 - U2 = noChange knowledge 4400 a 16.54
LT BOR 101.90 0.25 = 101.90 N/A N/A 8.50 estimate a 16.72 - > N/A - N/A N/A - N/A 8.50 - 8.50 U1 u good poor poor U1 U1 x U1 - knowledge knowledge 800 a 3.01
LV BOR 4535 11.02 - x 20.25 21 N/A estimate a 40.58 u x 2.02 - 4.05 8.10 - 10.12 N/A - N/A U2 u poor poor bad U2 U2 x U1 = knowledge knowledge 6300 a 23.68
SE BOR 19500 47.40 = 19500 N/A N/A 15 estimate b 29.51 x 25 4.20 - 4.20 10.80 - 10.80 N/A - N/A U2 - good bad bad U2 U2 x U2 - noChange method 9600 a 36.09
DE CON 8040 29.48 = 5.18 9.20 7.19 estimate b 4.17 - > 4.85 - 5.93 1.26 - 2.34 N/A - N/A U1 - good bad bad U2 U2 - U1 - genuine noChange 5900 b 19.28
DK CON 530 1.94 = N/A N/A 81 estimate b 46.97 = 22.43 - 41.86 39.14 - 58.57 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 11800 b 38.56
IT CON 3500 12.83 = >> 7.74 12.75 N/A estimate b 5.94 - >> 4.65 - 4.65 2.93 - 2.93 0.22 - 0.22 U2 - bad bad bad U2 U2 - U2 - noChange noChange 3200 b 10.46
PL CON 4300 15.77 = N/A N/A 60 estimate b 34.80 = N/A - 7.50 52.50 - 60 N/A - N/A U2 - poor bad bad U2 U2 - U1 = genuine genuine 3200 b 10.46
SE CON 10900 39.97 = 10900 N/A N/A 14 estimate b 8.12 + 24 3.40 - 3.40 10.60 - 10.60 N/A - N/A U2 = good bad bad U2 U2 + U2 - noChange genuine 6500 a 21.24
ES MAC 572 74.09 + N/A N/A 137.08 estimate a 99.18 + 106.77 - 106.77 30.30 - 30.30 N/A - N/A FV = good good good FV FV + U2 x knowledge knowledge 3900 b 86.67
PT MAC 200 25.91 - x 0.14 1.14 1.14 minimum c 0.82 - x 0.06 - 0.14 0.08 - 0.14 1 - 1 U2 x bad bad bad U2 U2 - U1 - genuine noChange 600 c 13.33
ES MED 3500 28.46 = N/A N/A 24.42 estimate a 100 u 24.42 0.35 - 0.35 24.07 - 24.07 N/A - N/A U2 + good poor bad U2 U2 = U1 x knowledge knowledge 2300 b 23.23
PT MED 8800 71.54 = N/A N/A N/A d 0 - N/A - N/A N/A - N/A N/A - N/A U1 - good poor poor U1 U1 - U1 = noChange knowledge 7600 c 76.77
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 BLS 2500 0EQ + ≈ 2500 6.53 6.93 6.73 1 + ≈ 6.73 1.50 | 2.00 | 1.75 0.1 | 0.5 | 0.3 4.83 | 5.25 | 5.03 2XA x good good unk 2XA MTX + U1 = nong nong U1 D

04/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 98653.78 1 = ≈ 98653.78 1072.88 1173.83 1123.21 1 - > 1123.21 262.96 | 498.19 | 380.57 291.37 | 540.72 | 416.04 173.01 | 283.08 | 228.05 2XA x good poor bad 2XA MTX x U2 x nc nc U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 27270 1 = > 27270 167.92 176.95 172.44 1 = > 182.44 35.33 | 63.34 | 49.33 106.43 | 134.44 | 120.43 0.22 | 0.22 | 0.22 2XA - poor bad bad 0EQ MTX - U2 = nc nong U2 C

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MAC 772 1 + x 772 137.22 138.22 138.22 1 + ≈ 138.22 106.83 | 106.91 | 106.87 30.38 | 30.44 | 30.41 1.0 | 1.0 | 1.0 2XA = poor good good 2XA MTX + U2 x nong nong U2 B2

04/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 12300 0EQ = ≈ 12300 0EQ - - | - | - - | - | - - | - | - 2GD - good poor poor 2GD MTX - U1 = nc nong U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 41136.9 1 - ≈ 41136.9 48.75 52.90 50.83 1 x > 60.83 9.32 | 15.05 | 12.19 20.20 | 23.12 | 21.66 8.5 | 8.5 | 8.5 2XA x poor bad bad 2XA MTX x U2 - nc nong U1 C

04/20

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.