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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, 9260 Castanea sativa woods, 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)
0.88 N/A N/A
N/A 1.72 0.23
N/A N/A 16
164.22 19.77 3.71
N/A N/A 0.05
16.30 1.45 189.01
11.16 N/A N/A
N/A N/A 14.70
108.43 N/A N/A
226.52 46.50 4.25
N/A N/A 3.20
163.16 197.95 137.17
30 125 N/A
435.78 N/A 48.42
12.50 N/A N/A
787.14 119.05 531
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 3400 7.56 = 3400 N/A N/A 0.88 estimate a 0.04 = 0.88 0.88 - 0.88 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 = U1 = method method 700 a 3
ES ALP 700 1.56 = N/A N/A 1.95 estimate b 0.09 - > N/A - N/A 1.72 - 1.72 0.23 - 0.23 U2 - good poor poor U1 U2 - N/A N/A knowledge knowledge 200 b 0.86
FR ALP 1100 2.44 = x 16 16 N/A minimum c 0.71 = x N/A - N/A N/A - N/A 16 - 16 U1 x good unk poor U1 U1 = U2 - method noChange N/A b 0
IT ALP 39100 86.89 - 1803.77 2647.13 N/A estimate b 99.16 - 164.22 - 164.22 19.77 - 19.77 3.71 - 3.71 U1 - poor poor poor U1 U1 - U1 - noChange noChange 22300 b 95.71
RO ALP 700 1.56 = N/A N/A 0.10 estimate a 0 x > N/A - N/A N/A - N/A N/A - 0.10 XX x unk unk unk XX U2 x U2 - method N/A 100 a 0.43
ES ATL 40100 100 = N/A N/A 206.77 estimate b 100 = > 16.26 - 16.33 1.45 - 1.45 188.95 - 189.06 XX x good poor unk U1 U1 = U1 - noChange method 22300 b 100
BG CON 5100 7.28 = 5100 N/A N/A 11.16 minimum b 0.70 = 11.16 11.16 - 11.16 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 = U1 = method method 1300 a 3.25
FR CON 3000 4.28 x x 1 50 14.70 estimate c 0.92 x x N/A - N/A N/A - N/A 14.70 - 14.70 XX x good unk unk XX XX x XX N/A noChange noChange 800 b 2
HR CON 6900 9.84 = N/A N/A 108.43 estimate a 6.80 = 108.43 - 108.43 N/A - N/A N/A - N/A U1 = good good poor U1 U1 = N/A N/A noChange noChange 6900 a 17.25
IT CON 54100 77.18 = 1145.67 1760.82 N/A estimate b 91.17 - 226.52 - 226.52 46.50 - 46.50 4.25 - 4.25 U1 - good poor poor U1 U1 - U1 - noChange noChange 30200 b 75.50
RO CON 1000 1.43 = N/A N/A 6.40 estimate a 0.40 = N/A - N/A N/A - N/A N/A - 6.40 XX x unk unk unk XX U2 = U2 x method N/A 800 a 2
ES MED 53300 27.36 = N/A N/A 444.61 estimate b 9.90 - x 121.55 - 204.76 185.26 - 210.64 136.54 - 137.80 U2 = unk poor bad U2 U2 - U2 - noChange noChange 26400 b 20.32
FR MED 19500 10.01 = 155 250 N/A estimate c 4.51 - 20 - 40 100 - 150 N/A - N/A U2 - unk bad bad U2 U2 - U2 = noChange noChange 11700 b 9.01
GR MED 2229 1.14 = N/A N/A 484.20 estimate b 10.79 = 435.78 - 435.78 N/A - N/A 48.42 - 48.42 FV = good good good FV FV = FV N/A noChange noChange 19000 b 14.63
HR MED 2300 1.18 x 10 15 N/A interval b 0.28 = x 10 - 15 N/A - N/A N/A - N/A U1 = good good poor U1 U1 = N/A N/A noChange noChange 2300 a 1.77
IT MED 94900 48.71 = 1639.53 5051.25 N/A estimate b 74.52 u > 584.75 - 989.53 119.05 - 119.05 531 - 531 FV u unk unk unk XX U1 x U1 - noChange method 59300 b 45.65
PT MED 22600 11.60 = 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 = XX N/A knowledge knowledge 11200 c 8.62
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 45000 2XA - ≈ 45000 1822.7 266.06 2244.38 2XA - ≈ 2244.38 - | - | - - | - | - - | - | - 2XA - poor poor poor 2XA MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ATL 40100 0MS = 206.77 0MS = > 16.26 | 16.33 | - 1.45 | 1.45 | - 188.95 | 189.06 | - 0MS x good poor unk 0MS MTX = U1 - nc nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 70100 2XA = ≈ 70100 1272.66 1936.81 1593.94 2XA - ≈ 1593.94 - | - | - - | - | - - | - | - 2XA - good poor poor 2XA MTX - U1 x nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 194829 2GD = ≈ 194829 2733.34 506318.8 254526.07 2GD x > 254526.07 - | - | - - | - | - - | - | - 2GD x unk poor bad 2GD MTX x U2 - nc nong U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
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
BG CON - | - | - - | - | - - | - | - 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.