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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, 9120 Atlantic acidophilous beech forests with Ilex and sometimes also Taxus in the shrublayer (Quercion robori-petraeae or Ilici-Fagenion), 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)
8.16 10.81 126.11
3 550 550
43.50 130.50 66
5.08 1.27 1.59
0.07 2.48 N/A
379.90 145.53 894.58
150 2350 N/A
63 60 N/A
24.34 17.80 38.86
N/A N/A 59.15
N/A N/A N/A
1.20 31.21 N/A
1288 8517 472
307.17 84.07 37.53
44.50 N/A N/A
0.53 N/A 0.81
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
ES ALP 11100 46.06 = N/A N/A 145.07 estimate b 20.87 + 8.16 - 8.16 10.81 - 10.81 126.11 - 126.11 XX = good good unk FV FV + U1 + knowledge noChange 3000 b 29.70
FR ALP 13000 53.94 = 100 1000 N/A estimate d 79.13 = 1 - 5 100 - 1000 100 - 1000 U1 u good good poor U1 U1 = U1 = noChange noChange 7100 a 70.30
BE ATL 21100 8.79 = 228 268 241 estimate b 5.51 = >> 34 - 53 121 - 140 62 - 70 U2 = good poor poor U1 U2 = U2 + noChange genuine 18100 a 13.28
DE ATL 13346 5.56 = 13346 7.76 8.15 7.95 estimate b 0.18 = 7.95 4.70 - 5.47 0.89 - 1.65 1.59 - 1.59 U1 = good good poor U1 U1 = U1 = noChange noChange 9000 a 6.60
DK ATL 2430 1.01 = N/A N/A 2.55 estimate b 0.06 x N/A - 0.13 2.42 - 2.55 N/A - N/A U2 u good good bad U2 U2 x U2 = N/A N/A 700 b 0.51
ES ATL 28100 11.71 = N/A N/A 1420 estimate b 32.45 = 329.37 - 430.43 145.53 - 145.53 844.05 - 945.10 U1 = good good unk FV U1 = U1 + noChange method 19000 b 13.94
FR ATL 134000 55.82 = 2300 2800 2500 estimate c 57.14 u 100 - 200 2300 - 2400 N/A - N/A U1 x good good poor U1 U1 x U1 + noChange noChange 69500 a 50.99
NL ATL 14800 6.17 = N/A N/A 123 estimate b 2.81 = > 30 - 96 27 - 93 N/A - N/A U1 + good poor poor U1 U1 + U1 = noChange method 12000 a 8.80
UK ATL 26267.72 10.94 = 26267.72 N/A N/A 81 estimate c 1.85 = 89.10 24.34 - 24.34 17.80 - 17.80 38.86 - 38.86 U2 = good poor bad U2 U2 = U2 = noChange noChange 8000 b 5.87
BE CON 4100 4.75 = 55 63.30 59.10 interval a 0.60 = N/A - N/A N/A - N/A 55 - 63.30 U1 + good good poor U1 U1 + U1 = noChange genuine 2300 a 3.10
DE CON 2659 0 N/A N/ 2.45 2.50 2.48 estimate b 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 a 0
DK CON 7180 8.32 = N/A N/A 32.41 estimate b 0.33 x N/A - 2.40 30.01 - 32.41 N/A - N/A U2 u good good bad U2 U2 x U2 = N/A N/A 3400 b 4.58
FR CON 75000 86.93 = N/A N/A 9805 estimate c 99.08 u < 816 - 1760 8045 - 8989 N/A - 944 U2 u good good bad U2 U2 x FV N/A method noChange 68600 a 92.33
ES MED 28600 63.84 = N/A N/A 432.46 estimate b 86.92 + > 307.17 - 307.17 84.07 - 84.07 33.84 - 41.22 U1 = unk good good FV U1 + U2 = method method 10600 b 64.24
FR MED 15900 35.49 = x 25 64 N/A estimate c 8.94 = x 25 - 64 N/A - N/A N/A - N/A FV u good good poor U1 U1 = U1 = noChange knowledge 5600 a 33.94
IT MED 300 0.67 - 4.17 36.94 N/A estimate b 4.13 u > 0.53 - 0.53 N/A - N/A 0.81 - 0.81 XX u unk unk unk XX XX XX N/A noChange noChange 300 b 1.82
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 24100 1 = ≈ 24100 245.07 1145.07 695.07 1 = ≈ 695.07 - | - | - - | - | - - | - | - 2XA x good good poor 2XA MTX = U1 = nc nc U1 D

12/19

EEA-ETC/BD

Institution: -

Member State: AT

EEA-ETC/BD
EU28 ATL 240043.72 1 = ≈ 240043.72 4162.32 4702.71 4375.51 1 x > 4375.51 522.41 | 809.37 | 665.89 2614.64 | 2800.53 | 2707.86 946.50 | 1055.55 | 1001.03 2XA x good good poor 2XA MTX x U1 + nc nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State: AT

EEA-ETC/BD
EU28 CON 86280 1 = ≈ 86280 2GD x - | - | - - | - | - - | - | - 2GD x 2GD MTX x FV = nong nong FV D

03/20

EEA-ETC/BD

Institution: -

Member State: AT

EEA-ETC/BD
EU28 MED 44800 1 = ≈ 44800 461.63 533.40 497.52 1 + < 547.27 371.70 | 332.70 | 352.2 84.07 | 84.07 | 84.07 37.48 | 77.63 | 57.56 1 = unk good good 2XA MTX + U2 = nong nong U2 B2

01/20

EEA-ETC/BD

Institution: -

Member State: AT

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.