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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, 92A0 Salix alba and Populus alba galleries, 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)
N/A N/A N/A
N/A N/A 1.43
N/A N/A N/A
14.55 0.88 N/A
0.56 0.46 0.70
1.94 N/A N/A
17 1 N/A
14.68 N/A N/A
0.71 0.79 0.50
80.55 14.95 0.49
351 78 N/A
0.07 0.43 N/A
166.23 87.08 612.83
90 30 80
240.57 N/A 26.73
174.71 40.49 1.54
0 0.04 N/A
N/A N/A N/A
N/A N/A 5
607 25 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 1 0.01 x x N/A N/A N/A minimum c 0 x x N/A - N/A N/A - N/A N/A - N/A XX x poor poor poor U1 U1 x U1 = method method 3100 a 36.90
ES ALP 10700 59.44 x x N/A N/A 1.43 estimate b 5.49 x > N/A - N/A N/A - N/A 1.43 - 1.43 XX x unk unk unk XX XX U2 = noInfo noInfo 2500 b 29.76
FR ALP N/A 0 N/A N/ N/A N/A N/A N/A 0 N N/ N/A - N/A N/A - N/A N/A - N/A N/A N/A N/A N/A N/A N/A N/A N N/A N/A noChange noChange N/A b 0
IT ALP 7300 40.55 + 15.39 33.83 N/A estimate b 94.51 - > 14.55 - 14.55 0.88 - 0.88 N/A - N/A U1 = good poor good FV U1 = U1 - noChange knowledge 2800 b 33.33
ES ATL 9700 100 - N/A N/A 1.72 estimate b 100 - > 0.56 - 0.56 0.40 - 0.52 0.64 - 0.76 U1 - unk poor poor U1 U1 - U1 - noChange noChange 3100 b 100
BG BLS 4200 63.64 = 4200 N/A N/A 1.94 estimate a 9.74 x 1.94 1.94 - 1.94 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 = U1 = genuine method 400 a 21.05
RO BLS 2400 36.36 = N/A N/A 18 estimate b 90.26 = 17 - 17 1 - 1 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 1500 a 78.95
BG CON 43300 30.74 = 43300 N/A N/A 15 estimate a 1.87 - 15 14.68 - 14.68 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = method method 15300 a 18.11
FR CON 1575 1.12 = >> 1 1 1 estimate d 0.12 x >> 0.42 - 1 0.58 - 1 N/A - 1 XX x poor bad bad U2 U2 x U2 x noChange noChange 1800 b 2.13
IT CON 55700 39.54 + 140.74 577.17 N/A estimate b 44.65 - >> 80.55 - 80.55 14.95 - 14.95 0.49 - 0.49 U1 - good bad bad U2 U2 - U2 - noChange noChange 42300 b 50.06
RO CON 40300 28.61 = N/A N/A 429 estimate a 53.36 = > 351 - 351 78 - 78 N/A - N/A U1 = good poor poor U1 U1 = U1 = N/A N/A 25100 a 29.70
CY MED 49 0.01 = N/A N/A 0.50 estimate b 0.03 = 0.07 - 0.07 0.43 - 0.43 N/A - N/A U2 = good good bad U2 U2 = FV N/A knowledge noChange 1300 b 0.28
ES MED 416200 61.53 x x N/A N/A 865.44 estimate b 47.70 u x 165.53 - 166.94 86.32 - 87.84 612.07 - 613.59 U1 = unk unk unk XX U1 x U2 = knowledge knowledge 261400 b 56.22
FR MED 67200 9.93 = 180 220 N/A estimate c 11.02 - > 80 - 100 20 - 40 80 - 80 U1 - bad bad bad U2 U2 - U2 = noChange noChange 47800 b 10.28
GR MED 2679 0.40 = N/A N/A 267.30 estimate b 14.73 = 240.57 - 240.57 N/A - N/A 26.73 - 26.73 FV = good good poor U1 U1 = U1 = noChange noChange 28500 b 6.13
IT MED 127900 18.91 + 210.56 751.88 N/A estimate b 26.52 u > 174.71 - 174.71 40.49 - 40.49 1.54 - 1.54 U2 x poor poor bad U2 U2 = U2 - noChange noChange 93600 b 20.13
MT MED 9 0 = > N/A N/A 0.04 estimate a 0 = > 0 - 0 0.04 - 0.04 N/A - N/A U2 = poor poor bad U2 U2 = U2 = noChange noChange 200 a 0.04
PT MED 62400 9.22 = 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 32200 c 6.92
RO PAN 4500 100 = N/A N/A 10 estimate a 100 = N/A - N/A N/A - N/A N/A - 10 U1 x good good unk FV U1 = U1 = N/A N/A 2300 a 100
RO STE 21700 100 = N/A N/A 632 estimate a 100 = 607 - 607 25 - 25 N/A - N/A FV = good good good FV FV = U1 = N/A N/A 14000 a 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 STE 21700 0MS = ≈ 21700 632 0MS = ≈ 632 607 | 607 | 607 25 | 25 | 25 0 | 0 | 0 0MS = 0MS MTX = U1 = nong nc U1 A=

03/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 CON 140875 1 + ≈ 140875 586 1022 804 2XA - > 883 447 | 447 | 447 94 | 94 | 94 263 | 263 | 263 2XA - 2XA MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 MED 676437 1 x x 2GD x x 661 | 682 | 672 147 | 169 | 158 984 | 986 | 985 2GD = 2GD MTX x U2 = nc nong U2 D

02/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 PAN 4500 0MS = ≈ 4500 10 0MS = ≈ 10 0 | 0 | 0 0 | 0 | 0 0 | 10 | 5 0MS x 0MS MTX = U1 = nc nc U1 D

03/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 ALP 2GD x x 2GD x x - | - | - - | - | - - | - | - 2GD x 2GD MTX x U1 - nong nong U1 D

03/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 ATL 9700 0MS - ≈ 9700 1.72 0MS - < 1.89 0.56 | 0.56 | 0.56 0.40 | 0.52 | 0.46 0.64 | 0.76 | 0.70 0MS - 0MS MTX - U1 - gen nc U1 C

03/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 BLS 6600 0EQ = ≈ 6600 20 1 = ≈ 20 19 | 19 | 19 1 | 1 | 1 - | - | - 0EQ = 2XA MTX = U1 = nong nc U1 A=

03/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
BG CON - | - | - - | - | - - | - | - 2GD poor 2GD MTX N/A U1 N/A U2 0/2

03/20

WWF Bulgaria

Institution: WWF Bulgaria

Member State: BG

WWF Bulgaria
BG BLS - | - | - - | - | - - | - | - 2GD poor 2GD MTX N/A U1 N/A U1 0/2

03/20

WWF Bulgaria

Institution: WWF Bulgaria

Member State: BG

WWF Bulgaria
BG ALP - | - | - - | - | - - | - | - 2GD poor 2GD MTX N/A U1 N/A U1 0/2

03/20

WWF Bulgaria

Institution: WWF Bulgaria

Member State: BG

WWF Bulgaria
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.