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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, 9530 (Sub-) Mediterranean pine forests with endemic black pines, 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)
33.80 N/A N/A
231.27 0.01 N/A
1.07 20.24 8.14
13.34 N/A N/A
68.81 N/A 0.01
N/A N/A 1.18
16.50 1.50 N/A
N/A N/A N/A
76.63 0.01 N/A
0.78 N/A N/A
18.50 N/A 14.20
32.89 N/A N/A
255.26 686.69 3101.17
125 30 60
2324.34 N/A 258.26
29.23 N/A N/A
106 0.31 9.49
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
AT ALP 2900 6.54 = ≈ 33.60 34 N/A estimate a 4.75 = ≈ 33.60 - 34 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1900 a 9.60
BG ALP 25500 57.52 = 25500 N/A N/A 231.28 estimate a 32.47 = 231.28 231.27 - 231.27 0.01 - 0.01 N/A - N/A FV = poor poor poor U1 U1 + U1 = method method 10100 a 51.01
ES ALP 7000 15.79 = ≈ N/A N/A 29.44 estimate b 4.13 x > 1.07 - 1.07 20.24 - 20.24 8.14 - 8.14 U2 x unk unk unk XX U2 x U1 - noInfo noInfo 1400 b 7.07
HR ALP 500 1.13 = ≈ N/A N/A 13.34 estimate a 1.87 = ≈ 13.34 - 13.34 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 600 a 3.03
IT ALP 7600 17.14 + ≈ 356.99 411.01 N/A estimate b 53.92 + ≈ 68.81 - 68.81 N/A - N/A 0.01 - 0.01 U1 - good good poor FV U1 = U1 - noChange knowledge 5500 b 27.78
RO ALP 500 1.13 = ≈ N/A N/A 2.35 estimate a 0.33 = ≈ N/A - N/A N/A - N/A N/A - 2.35 XX x good good unk FV FV = FV N/A N/A N/A N/A a 0
SI ALP 336 0.76 = ≈ N/A N/A 18 estimate b 2.53 = ≈ 15 - 18 N/A - 3 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 300 b 1.52
AT CON 200 0 = ≈ N/A N/A 0.02 estimate a 0 = ≈ 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 N/A N/A N/A a 0
BG CON 55900 95.88 = 55900 N/A N/A 77 estimate a 69.46 = 77 76.63 - 76.63 0.01 - 0.01 N/A - N/A FV = poor poor poor U1 U1 + U1 = method method 27200 a 94.77
IT CON 1100 1.89 + ≈ 0.78 1.52 N/A estimate b 1.04 u > 0.78 - 0.78 N/A - N/A N/A - N/A U1 x unk unk unk XX U1 x U1 = noChange method 300 b 1.05
RO CON 1300 2.23 = ≈ N/A N/A 32.70 estimate a 29.50 = ≈ 18.50 - 18.50 N/A - N/A 14.20 - 14.20 XX = good good good FV FV = FV N/A N/A N/A 1200 a 4.18
CY MED 111 0.13 = ≈ N/A N/A 32.89 estimate a 0.46 = ≈ 32.89 - 32.89 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 400 a 0.48
ES MED 66900 75.46 x ≈ N/A N/A 4043.12 estimate b 56.88 u > 255.26 - 255.26 686.69 - 686.69 3101.17 - 3101.17 XX u unk unk unk XX U1 x U1 - noChange noInfo 39800 b 48.13
FR MED 7500 8.46 = ≈ 300 400 N/A estimate b 4.92 = ≈ 100 - 150 20 - 40 60 - 60 U1 u good unk poor U1 U1 = U1 = noChange noChange 5400 a 6.53
GR MED 6545 7.38 = ≈ N/A N/A 2582.60 estimate b 36.33 = ≈ 2324.34 - 2324.34 N/A - N/A 258.26 - 258.26 FV = good good good FV FV = FV N/A noChange noChange 31700 b 38.33
HR MED 1500 1.69 = ≈ N/A N/A 29.23 estimate a 0.41 = ≈ 29.23 - 29.23 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 1000 a 1.21
IT MED 6100 6.88 + ≈ 69.71 70.58 N/A estimate b 0.99 = ≈ 106 - 106 0.31 - 0.31 9.49 - 9.49 FV u good unk unk XX FV = FV N/A noChange noChange 4400 b 5.32
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 44336 0EQ + ≈ 44336 685 739.4 712.2 2XA + ≈ 712.2 - | - | - - | - | - - | - | - 2XA - good good poor 2XA MTX + U1 - nc nong U1 B1

04/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 CON 58300 0EQ = ≈ 58300 110.48 111.22 110.85 2XA = ≈ 110.85 - | - | - - | - | - - | - | - 2GD 2GD MTX + U1 = nc nong U1 B1

04/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 MED 88656 2XA x ≈ 88656 7057.55 7158.42 7107.99 2XA x > 7107.99 2847.72 | 2897.72 | 2872.72 - | - | - - | - | - 2XA x unk unk unk 2XA MTX x U1 - nc nong U1 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

04/20

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
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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.