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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, 1410 Mediterranean salt meadows (Juncetalia maritimi), 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 N/A 366
8.77 0.87 N/A
N/A N/A 1.86
100 150 100
N/A N/A 0.02
24.84 0.06 0.46
0.30 N/A 0.10
3 1 N/A
0.09 0.22 N/A
46.67 25.14 46.40
36 24 61
N/A 31.13 124.51
1.27 N/A 6.79
38.83 3.29 1.16
0.01 0.01 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
FR ATL 14200 37.37 = N/A N/A 366 minimum c 97.43 - N/A - N/A N/A - N/A 366 - 366 U1 - good poor poor U1 U1 - U1 = noChange noChange 14200 a 44.24
IE ATL 23800 62.63 = 23800 N/A N/A 9.64 estimate a 2.57 - > 8.77 - 8.77 0.87 - 0.87 N/A - N/A FV = good poor good U1 U1 - U1 = noChange genuine 17900 a 55.76
BG BLS 2000 58.82 = 2000 N/A N/A 1.86 minimum b 0.26 = 1.86 N/A - N/A N/A - N/A 1.86 - 1.86 XX x poor poor poor U1 U1 = U1 = noChange noChange 1100 b 61.11
RO BLS 1400 41.18 + > N/A N/A 700 interval b 99.74 + > N/A - 200 N/A - 300 N/A - 200 U1 = poor poor poor U1 U1 - U1 = knowledge knowledge 700 a 38.89
BG CON 100 1.33 = 100 N/A N/A 0.02 minimum b 0.04 = 0.02 N/A - N/A N/A - N/A 0.02 - 0.02 XX x poor poor poor U1 U1 = U1 = noChange noChange 100 b 1.92
IT CON 7200 95.52 + > 26 54.52 N/A estimate b 99.22 - >> 24.84 - 24.84 0.06 - 0.06 0.46 - 0.46 U1 - poor bad poor U2 U2 - U2 x noChange knowledge 4800 b 92.31
SI CON 238 3.16 = 238 0.20 0.40 N/A estimate b 0.74 = 0.40 0.20 - 0.40 N/A - N/A N/A - 0.20 FV = good good good FV FV = FV N/A noChange noChange 300 b 5.77
PT MAC 1200 100 = > 4 4 4 estimate a 100 = >> 3 - 3 1 - 1 N/A - N/A U1 = poor bad good U2 U2 = U2 = noChange noChange 500 c 100
CY MED 379 0.35 = N/A N/A 0.31 estimate b 0.08 = x 0.09 - 0.09 0.22 - 0.22 N/A - N/A U2 - good bad bad U2 U2 - FV N/A knowledge knowledge 900 a 0.80
ES MED 46000 42.88 - x N/A N/A 118.21 minimum b 30.25 - x 46.67 - 46.67 25.14 - 25.14 46.40 - 46.40 U1 - unk unk unk XX U1 - XX N/A knowledge knowledge 46000 b 41.07
FR MED 9600 8.95 = x 33 89 N/A estimate b 15.61 - x 19 - 53 13 - 35 33 - 89 U1 u good bad poor U2 U2 - U2 - noChange noChange 9700 a 8.66
GR MED 1991 1.86 = N/A N/A 155.64 estimate b 39.83 = > N/A - N/A 31.13 - 31.13 124.51 - 124.51 U1 + good poor poor FV U1 + U1 = noChange knowledge 25300 b 22.59
HR MED 5200 4.85 = 3.11 8.07 N/A estimate a 1.43 = 1 - 1.55 N/A - N/A 6.52 - 7.07 U1 = good good good FV U1 = N/A N/A noChange noChange 5100 a 4.55
IT MED 38800 36.17 + 27.68 72.32 N/A estimate b 12.80 - > 38.83 - 38.83 3.29 - 3.29 1.16 - 1.16 U1 - poor poor poor U1 U1 - U1 x noChange knowledge 19900 b 17.77
MT MED 9 0.01 = > N/A N/A 0.02 estimate a 0.01 = > 0.01 - 0.01 0.01 - 0.01 N/A - N/A U2 = poor poor bad U2 U2 = U1 = knowledge noChange 400 a 0.36
PT MED 5300 4.94 = 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 = FV N/A noChange knowledge 4700 c 4.20
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 38000 0EQ = ≈ 38000 375.64 375.64 375.64 0EQ - > 375.64 8.77 | 8.77 | 8.77 0.87 | 0.87 | 0.87 366.00 | 366.00 | 366.00 2XA - good poor poor 0EQ MTX - U1 = nc nong U1 C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 3400 1 + > 3400 701.86 701.86 701.86 2GD + > 701.86 0 | 200.00 | 100.00 0 | 300.00 | 150.00 1.86 | 201.86 | 101.86 2GD x poor poor poor 0EQ MTX - U1 = nc nong U1 C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 7538 1 + > 7538 26.22 54.94 40.58 1 - >> 40.68 25.04 | 25.24 | 25.14 0.056 | 0.056 | 0.056 0.47 | 0.67 | 0.57 2XA - poor bad poor 2XA MTX - U2 x nc nong U2 C

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MAC 1200 0MS = > 1200 4 4 4 0MS = >> 4 3.00 | 3.00 | 3.00 1.00 | 1.00 | 1.00 0 | 0 | 0 0MS = poor bad poor 0MS MTX = U2 = nc nc U2 D

12/19

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 107279 1 = x 107279 2GD - - | - | - - | - | - - | - | - 2GD - poor poor poor 2GD MTX - XX x nong nong U2 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.