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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, 9190 Old acidophilous oak woods with Quercus robur on sandy plains, 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)
3.90 34.50 5.55
100.30 85.53 2.94
N/A 13.34 N/A
95.05 5.15 3.90
11 18 N/A
7.30 13.70 24
0.33 0.24 N/A
N/A N/A 2.70
16 8 16
N/A N/A 60
41.54 13.27 15.76
59.72 60.56 16.99
N/A 30.57 N/A
257.50 234.50 225.50
2.36 3.60 0.02
132 528 N/A
7 6 6
0.40 0.76 2.84
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
BE ATL 12100 7.36 = 39 51.40 43.20 estimate b 10.23 = >> 1 - 6.80 31.60 - 37.40 4.30 - 6.80 U2 u good good poor U1 U2 x U2 = noChange method 7400 a 6.50
DE ATL 55927 34.01 = 182.47 195.09 188.78 estimate b 44.72 = > 73.75 - 126.84 59.87 - 111.20 2.06 - 3.83 U2 x good poor bad U2 U2 = U2 = noChange noChange 45200 b 39.72
DK ATL 11186 6.80 = N/A N/A 13.34 estimate b 3.16 x N/A - N/A 13.34 - 13.34 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 4300 b 3.78
FR ATL 45900 27.91 = 36218 52.60 153 N/A estimate b 24.35 = x 49.10 - 141 2.60 - 7.70 1.50 - 6.30 U2 x good unk unk XX U2 = U1 x noChange noChange 37000 a 32.51
NL ATL 7700 4.68 = N/A N/A 29 estimate b 6.87 = > 1.40 - 20.60 8.40 - 27.60 N/A - N/A U2 - poor poor bad U2 U2 - U1 - knowledge noChange 6400 a 5.62
UK ATL 31651.01 19.24 = 31651.01 N/A N/A 45 estimate c 10.66 = 45 7.30 - 7.30 13.70 - 13.70 24 - 24 U2 = good good bad U2 U2 = U2 = noChange noChange 13500 b 11.86
FI BOR 4200 4.91 = N/A N/A 0.57 estimate b 1.32 = > 0.13 - 0.52 0.05 - 0.44 N/A - N/A U1 = good poor poor U1 U1 = U1 - noChange method 2000 b 5.51
LT BOR 1341.94 1.57 = N/A N/A 2.70 estimate a 6.24 - > N/A - N/A N/A - N/A 2.70 - 2.70 U2 - good bad bad U2 U2 - U1 = knowledge knowledge 2700 a 7.44
SE BOR 80000 93.52 = 80000 40 40 40 estimate b 92.44 x 40 16 - 16 8 - 8 16 - 16 U1 x good unk poor U1 U1 x U2 x knowledge noChange 31600 b 87.05
BE CON 13200 3.62 = 55 65 60 interval a 4.41 + >> N/A - N/A N/A - N/A 55 - 65 U2 - good poor bad U2 U2 + U2 + noChange noChange 8000 a 3.14
CZ CON 53700 14.73 = N/A N/A 70.57 estimate a 5.18 - 41.54 - 41.54 13.27 - 13.27 15.76 - 15.76 U2 - poor poor poor U1 U2 - U2 - noChange noChange 31600 a 12.41
DE CON 68628 18.82 + 68628 144.12 152.75 148.44 estimate a 10.90 - > 55.84 - 63.60 56.15 - 64.98 15.60 - 18.38 U2 - poor poor bad U2 U2 - U2 - noChange noChange 51300 b 20.15
DK CON 13864 3.80 = N/A N/A 30.57 estimate b 2.25 x N/A - N/A 30.57 - 30.57 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 7300 b 2.87
FR CON 22000 6.03 = 252 451 352 estimate d 25.86 x > 158 - 357 94 - 375 N/A - 451 U2 x bad bad bad U2 U2 x U1 = knowledge knowledge 17300 a 6.79
IT CON 2400 0.66 - >> 17.45 22.06 N/A estimate b 1.45 - >> 2.36 - 2.36 3.60 - 3.60 0.02 - 0.02 U2 - bad bad bad U2 U2 - U2 - noChange noChange 1800 b 0.71
PL CON 171800 47.12 = N/A N/A 660 estimate b 48.48 = 46.20 - 217.80 442.20 - 613.80 N/A - N/A U2 - good good poor U1 U2 - U2 = noChange knowledge 128400 b 50.43
SE CON 19000 5.21 = 19000 20 20 20 estimate b 1.47 x 20 7 - 7 6 - 6 6 - 6 U2 x good unk bad U2 U2 x U2 x noChange noChange 8900 b 3.50
SK PAN 964.12 100 = > N/A N/A 3.32 estimate b 100 - 0.40 - 0.40 0.76 - 0.76 2.84 - 2.84 U1 u good poor poor U1 U2 x U1 = genuine genuine 1500 b 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 ATL 164464.01 0EQ = ≈ 154782.01 361.41 486.83 422.18 2XA = > 422.18 132.55 | 302.54 | 217.55 129.51 | 210.94 | 170.23 31.86 | 40.93 | 36.40 0EQ x 2XA MTX = U2 = nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 85541.94 1 = ≈ 85541.94 43.27 43.27 43.27 1 x ≈ 43.27 16.13 | 16.52 | 37.72 8.05 | 8.44 | 8.25 18.70 | 18.70 | 18.70 1 x 2XA MTX x U2 x nong nc U2 D

01/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 364592 2GD = ≈ 364592 1249.71 1471.94 1361.33 2GD - > 1361.33 - | - | - - | - | - - | - | - 0EQ - 2GD MTX - U2 = nc nong U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 964.12 0MS = > 964.12 3.32 3.32 3.32 0MS - ≈ 3.32 - | - | - - | - | - - | - | - 0MS x good poor poor 0MS MTX x U1 = gen nong U1 C

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.