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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, Forests, 9560 Endemic forests with Juniperus spp., All bioregions. Show all Forests
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)
0.17 N/A N/A
N/A N/A 0.04
N/A N/A 14
N/A N/A 1.21
18.23 N/A N/A
2.47 N/A N/A
33.22 N/A 11.18
80.50 105 1
1.84 0.26 N/A
516.97 149.49 1091.85
7.50 1 1
N/A 22.39 89.56
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
BG ALP 100 0.62 = 100 N/A N/A 0.17 estimate a 1.06 = 0.17 0.17 - 0.17 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 100 a 1.54
ES ALP 1900 11.80 = N/A 0.04 N/A estimate a 0.13 x N/A - N/A N/A - N/A 0.04 - 0.04 XX x good good good FV XX N/A N/A knowledge knowledge 100 b 1.54
FR ALP 13800 85.71 = x 14 14 N/A estimate c 88.51 + x N/A - N/A N/A - N/A 14 - 14 XX x good good unk FV FV = U1 = knowledge noChange 6000 b 92.31
IT ALP 300 1.86 - > 1.21 2.05 N/A estimate b 10.31 - > N/A - N/A N/A - N/A 1.21 - 1.21 U1 = poor poor poor U1 U1 - U1 x noChange knowledge 300 b 4.62
ES ATL 2800 100 - x N/A N/A 18.23 estimate b 100 = 18.23 - 18.23 N/A - N/A N/A - N/A FV = good good good FV FV - XX N/A knowledge knowledge 1000 b 100
BG CON 300 100 u 300 N/A N/A 2.47 estimate a 100 u 2.47 2.47 - 2.47 N/A - N/A N/A - N/A FV = bad bad bad U2 U2 x U1 = method method 200 a 100
ES MAC 593 16.06 = N/A N/A 44.40 estimate a 18.94 = 33.22 - 33.22 N/A - N/A 11.18 - 11.18 U1 = good good good FV U1 = FV N/A method method 3400 b 89.47
PT MAC 3100 83.94 = 160 220 190 estimate a 81.06 = 63 - 98 70 - 140 1 - 1 FV = good good poor U1 U1 - U1 - noChange noChange 400 c 10.53
CY MED 102 0.10 = N/A N/A 2.10 estimate a 0.11 = 1.84 - 1.84 0.26 - 0.26 N/A - N/A FV + good good good FV FV + FV N/A noChange genuine 700 a 1.19
ES MED 86200 88.43 x > N/A N/A 1758.31 estimate b 93.43 = > 516.97 - 516.97 149.49 - 149.49 1091.85 - 1091.85 U1 - unk good good FV U1 x U2 - knowledge noInfo 46700 b 79.42
FR MED 7800 8 = 9 10 N/A estimate c 0.50 + 7 - 8 1 - 1 1 - 1 U1 = good good poor U1 U1 + U1 = noChange noChange 6300 b 10.71
GR MED 279 0.29 = N/A N/A 111.95 minimum b 5.95 = N/A - N/A 22.39 - 22.39 89.56 - 89.56 U1 + good good poor U1 U1 + FV N/A knowledge knowledge 3100 b 5.27
PT MED 3100 3.18 = N/A N/A N/A d 0 = > N/A - N/A N/A - N/A N/A - N/A U2 - good good bad U2 U2 - U1 = knowledge knowledge 2000 c 3.40
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 16100 2XA = ≈ 16100 15.4 16.26 15.82 2XA + - | - | - - | - | - - | - | - 2XA x good good unk 2XA MTX = U1 = nong nong U1 A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 2800 0MS - x 18.23 0MS = 18.23 | 18.23 | - - | - | - - | - | - 0MS = good good good 0MS MTX - XX N/A nong nong XX A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 300 0MS x 300 2.47 0MS x 2.47 2.47 | 2.47 | - - | - | - - | - | - 0MS = bad bad bad 0MS MTX x U1 = nong nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MAC 3693 0EQ = 204.4 264.4 234.4 1 = 96.22 | 131.22 | 113.72 - | - | - 11.18 | 11.18 | 12.18 1 = good good poor 2XA MTX - U1 - nong nong U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 97481 2XA x > 97481 1881.36 1882.36 1881.86 2XA = > 1881.86 - | - | - - | - | - - | - | - 2XA - unk good good 2XA MTX x U2 - nong nong U2 D

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.