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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, Coastal habitats, 1320 Spartina swards (Spartinion maritimae), All bioregions. Show all Coastal 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 0.01 N/A
20.30 3 N/A
N/A N/A 0.56
1.85 0.18 5.42
82 0.60 0.40
3.80 3.70 N/A
N/A N/A N/A
N/A 0.77 N/A
N/A N/A 0.27
9.53 5.28 0.01
0.02 0.01 N/A
0.65 0.65 N/A
1.95 12.51 2.99
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 800 2.40 = 0.01 0.01 0.01 estimate a 0.01 = >> N/A - N/A 0.01 - 0.01 N/A - N/A U2 = good poor bad U2 U2 = U2 = noChange noChange 600 a 2.26
DE ATL 9069 27.24 = 9069 22.09 24.53 23.31 estimate a 18.86 = 19.40 - 21.20 2.10 - 3.90 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 7300 a 27.55
DK ATL 4970 14.93 = N/A N/A 0.56 estimate b 0.45 u N/A - N/A N/A - N/A 0.56 - 0.56 FV x good good good FV FV x FV N/A N/A N/A 900 b 3.40
ES ATL 4200 12.62 = N/A N/A 7.45 minimum c 6.03 - > 1.85 - 1.85 0.18 - 0.18 5.42 - 5.42 U1 - good poor unk U1 U1 - U1 x noChange knowledge 4200 b 15.85
FR ATL 4300 12.92 = >> 84 84 84 estimate c 67.96 = >> 82 - 82 0.60 - 0.60 0.40 - 0.40 FV x unk poor poor U1 U2 = U2 = N/A noChange 5100 a 19.25
NL ATL 5800 17.42 = N/A N/A 7.50 estimate a 6.07 = 0.10 - 7.50 N/A - 7.40 N/A - N/A U1 + good good poor U1 U1 + U1 - noChange genuine 4600 a 17.36
PT ATL 500 1.50 = 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 x noChange knowledge 300 c 1.13
UK ATL 3652.19 10.97 = >> N/A N/A 0.77 estimate a 0.62 - >> N/A - N/A 0.77 - 0.77 N/A - N/A U2 - bad bad bad U2 U2 - U2 = noChange genuine 3500 b 13.21
DK CON 9850 72.13 = N/A N/A 0.27 estimate b 1.53 u N/A - N/A N/A - N/A 0.27 - 0.27 FV x good good good FV FV x FV N/A N/A N/A 800 b 24.24
IT CON 3700 27.09 + 14.26 20.41 N/A estimate b 98.33 - > 9.53 - 9.53 5.28 - 5.28 0.01 - 0.01 U2 - poor bad bad U2 U2 - U2 - noChange noChange 2300 b 69.70
SI CON 106 0.78 = 106 N/A N/A 0.03 estimate b 0.15 u > 0.02 - 0.02 0.01 - 0.01 N/A - N/A U1 = good unk unk XX U1 = U1 = noChange noChange 200 b 6.06
PT MAC 1400 100 = > 0.50 2 1.07 estimate a 100 = > 0.30 - 1 0.30 - 1 N/A - N/A FV = poor poor poor U1 U1 = U1 - noChange noChange 700 c 100
ES MED 4400 54.32 u N/A N/A 17.44 estimate a 100 u x 1.95 - 1.95 12.51 - 12.51 2.99 - 2.99 U2 = unk unk poor XX U2 x XX N/A knowledge noChange 4200 b 53.16
PT MED 3700 45.68 = 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 - FV N/A knowledge knowledge 3700 c 46.84
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 33291.19 1 = >> 33291.19 122.38 124.82 123.60 1 = >> 123.60 103.35 | 112.55 | 107.95 3.66 | 12.86 | 8.26 6.38 | 6.38 | 6.38 2XA x bad bad good 2XA MTX = U2 = nc nc U2 D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 13656 1 + ≈ 13656 14.56 20.71 17.63 1 - > 17.63 9.55 | 9.55 | 9.55 5.28 | 5.29 | 5.28 0.27 | 0.27 | 0.27 2XA - good bad bad 2XA MTX - U2 - nc nc U2 C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MAC 1400 0MS = > 1400 0.5 2 1.07 0MS = > 1.07 0.3 | 1.0 | 0.65 0.3 | 1.0 | 0.65 0 | 0 | 0 0MS = poor poor good 0MS MTX = U1 - nc nong U1 D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 8100 1 x ≈ 8100 2GD x - | - | - - | - | - - | - | - 2GD - good unk bad 2GD MTX x XX N/A nong nong XX D

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.