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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, 9110 Luzulo-Fagetum beech forests, 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)
839 171 N/A
64.34 N/A N/A
7.25 0.60 N/A
145.50 145.50 145.50
73.22 N/A N/A
227.47 28.20 0.68
163.50 126.50 N/A
5962 255 N/A
168 33 N/A
10.56 4.99 404.45
124.48 49.11 233.41
N/A 1.50 N/A
N/A N/A 1
2.15 2.75 N/A
11 3 6
447 46 N/A
N/A N/A 465.50
14.08 N/A N/A
769.01 107.58 278.40
6508.82 342.57 N/A
N/A 175.56 N/A
448 2717 5
136.50 N/A N/A
N/A N/A 645.11
53.35 0.26 20.93
474 445 N/A
1172 96 N/A
21 21 8
587.50 122.50 N/A
1208.07 N/A 134.23
53.83 40.09 12.07
9 1 1
0.19 0.19 1.61
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 35500 15.62 = N/A N/A 1010 estimate a 9.72 + 839 - 839 171 - 171 N/A - N/A U1 + good good poor U1 U1 + U2 = genuine genuine 17700 a 11.92
BG ALP 23100 10.16 = 23100 N/A N/A 64.34 estimate a 0.62 = 64.34 64.34 - 64.34 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 11400 a 7.68
DE ALP 2096 0.92 = 2096 8 8 8 estimate b 0.08 = 8 7 - 7.50 0.50 - 0.70 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 2200 b 1.48
FR ALP 15300 6.73 = 291 291 N/A estimate c 2.80 = N/A - 291 N/A - 291 N/A - 291 XX x good good unk FV FV = FV N/A noChange noChange 9300 a 6.26
HR ALP 1600 0.70 = N/A N/A 73.22 estimate a 0.70 = 73.22 - 73.22 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 1500 a 1.01
IT ALP 42600 18.74 + 1590.69 2033.18 N/A estimate b 17.45 - > 227.47 - 227.47 28.20 - 28.20 0.68 - 0.68 U1 - good poor poor U1 U1 - U1 - noChange noChange 26600 b 17.91
PL ALP 15000 6.60 = N/A N/A 290 estimate b 2.79 = 74 - 253 37 - 216 N/A - N/A U1 = good good good FV U1 = FV N/A knowledge noChange 10100 b 6.80
RO ALP 59900 26.36 = N/A N/A 6217 estimate a 59.86 = 5962 - 5962 255 - 255 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 37100 a 24.98
SI ALP 2690 1.18 = N/A N/A 201 estimate b 1.94 = 151 - 185 16 - 50 N/A - N/A U1 = good good poor U1 U1 = U1 + noChange genuine 2800 b 1.89
SK ALP 29484.36 12.97 = N/A N/A 420 estimate b 4.04 + 10.56 - 10.56 4.99 - 4.99 404.45 - 404.45 FV u good good good FV FV = FV N/A N/A N/A 29800 b 20.07
DE ATL 61285 91.59 = 61285 403.49 410.53 407.01 estimate b 98.21 + 124.48 - 124.48 49.11 - 49.11 233.41 - 233.41 U1 = good good poor U1 U1 + U1 = noChange genuine 45300 b 95.97
DK ATL 4827 7.21 = N/A N/A 1.50 estimate b 0.36 x N/A - N/A 1.50 - 1.50 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 1400 b 2.97
FR ATL 400 0.60 = x N/A N/A 1 estimate b 0.24 = x N/A - N/A N/A - N/A 1 - 1 XX = poor poor unk U1 U1 = U1 = noChange noChange 300 a 0.64
NL ATL 400 0.60 = N/A N/A 4.90 estimate a 1.18 = 0.70 - 3.60 1.30 - 4.20 N/A - N/A U1 x good good poor U1 U1 = U1 = noChange noChange 200 a 0.42
SE BOR 37000 100 = 37000 20 20 20 estimate b 100 + 20 11 - 11 3 - 3 6 - 6 U1 x good good poor U1 U1 = U2 + knowledge noChange 15200 b 100
AT CON 22000 3.08 = > N/A N/A 493 interval a 3.06 + 447 - 447 46 - 46 N/A - N/A U1 + poor good poor U1 U1 + U2 = genuine genuine 10300 a 2.08
BE CON 14100 1.97 = 454 477 465 interval a 2.89 = N/A - N/A N/A - N/A 454 - 477 U2 = good good bad U2 U2 = U2 - noChange knowledge 10900 a 2.20
BG CON 27400 3.83 = 27400 N/A N/A 14.08 estimate a 0.09 = 14.08 14.08 - 14.08 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange knowledge 7700 a 1.55
CZ CON 82500 11.54 = N/A N/A 1155 estimate a 7.17 - 769.01 - 769.01 107.58 - 107.58 278.40 - 278.40 U2 u good poor poor U1 U2 x U2 = noChange genuine 66400 a 13.39
DE CON 232983 32.60 = 6744.35 6958.44 6851.39 estimate b 42.52 + 6406.05 - 6611.59 239.80 - 445.34 N/A - N/A FV = good good good FV FV + FV N/A noChange method 199900 b 40.31
DK CON 22623 3.17 = N/A N/A 175.56 estimate b 1.09 x N/A - N/A 175.56 - 175.56 N/A - N/A U2 - good good bad U2 U2 - U2 = N/A N/A 10700 b 2.16
FR CON 25000 3.50 = N/A N/A 3165 estimate c 19.64 = < 443 - 453 2712 - 2722 N/A - 10 U1 x good good poor U1 U1 = U1 = noChange noChange 21300 a 4.30
HR CON 6300 0.88 = N/A N/A 136.50 estimate a 0.85 = 136.50 - 136.50 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 6000 a 1.21
IT CON 22200 3.11 + 429.01 861.21 N/A estimate b 4 - > N/A - N/A N/A - N/A 429.01 - 861.21 XX = good poor good FV U1 = FV N/A knowledge knowledge 7500 b 1.51
LU CON 3200 0.45 = 53.63 74.56 N/A estimate b 0.40 = 53.35 - 53.35 0.26 - 0.26 20.93 - 20.93 FV = good good good FV FV = FV N/A noChange noChange 2200 a 0.44
PL CON 171200 23.95 = N/A N/A 920 estimate b 5.71 = 227 - 721 198 - 692 N/A - N/A U1 = good good good FV U1 = U1 + noChange knowledge 110100 b 22.20
RO CON 58900 8.24 = N/A N/A 1268 estimate a 7.87 = 1172 - 1172 96 - 96 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 23500 a 4.74
SE CON 18000 2.52 = 18000 50 50 50 estimate b 0.31 + 200 21 - 21 21 - 21 8 - 8 U2 x good bad bad U2 U2 = U2 x noChange noChange 10300 b 2.08
SI CON 8314 1.16 = N/A N/A 710 estimate b 4.41 = 535 - 640 70 - 175 N/A - N/A U1 = good good poor U1 U1 = U1 + noChange genuine 9100 b 1.84
GR MED 1971 16.33 = N/A N/A 1342.30 estimate b 86.75 = 1208.07 - 1208.07 N/A - N/A 134.23 - 134.23 FV = good good good FV FV = FV N/A noChange noChange 12000 b 68.97
IT MED 10100 83.67 + 194.54 215.67 N/A estimate b 13.25 u 53.83 - 53.83 40.09 - 40.09 12.07 - 12.07 U1 u unk unk unk XX U1 x XX N/A method method 5400 b 31.03
HU PAN 4616 66.89 = 11 11 N/A estimate b 84.62 = 9 - 9 1 - 1 1 - 1 FV = good good good FV FV = FV N/A noChange knowledge 4700 b 64.38
SK PAN 2284.39 33.11 = N/A N/A 2 estimate b 15.38 = > 0.19 - 0.19 0.19 - 0.19 1.61 - 1.61 U1 u good poor poor U1 U1 = U1 = N/A N/A 2600 b 35.62
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 PAN 2XA = 13 13 13 1 = < 13.2 9.19 | 9.19 | 9.19 1.19 | 1.19 | 1.19 2.61 | 2.61 | 2.61 1 = good good good 2XA MTX = U1 = nc nc U1 D

01/20

EEA-ETC/BD

Institution: -

Member State: AT

EEA-ETC/BD
EU28 CON 714720 1 = ≈ 716920 15768.13 16458.35 16112.73 1 + < 16327.24 10223.99 | 11038.53 | 10631.26 3666.20 | 4480.74 | 4073.47 1190.34 | 1655.54 | 1422.94 1 = good good poor 2XA MTX = U1 = nong nc U1 D

01/20

EEA-ETC/BD

Institution: -

Member State: AT

EEA-ETC/BD
EU28 MED 2XA = 1536.84 1557.97 1547.41 1 = ≈ 1547.41 1261.9 | 1261.9 | 1261.9 40.09 | 40.09 | 40.09 234.84 | 255.98 | 245.42 1 = good good good 2XA MTX = FV = nong nc FV D

12/19

EEA-ETC/BD

Institution: -

Member State: AT

EEA-ETC/BD
EU28 ALP 227270.36 1 = 10165.25 10607.74 10386.5 1 = < 10567.69 7408.59 | 7622.09 | 7515.34 512.69 | 725.89 | 619.29 2029.79 | 2472.28 | 2251.04 1 = good good poor 2XA MTX = U1 = nc nc U1 D

01/20

EEA-ETC/BD

Institution: -

Member State: AT

EEA-ETC/BD
EU28 ATL 66912 1 = ≈ 66912 410.89 417.93 414.41 1 + ≈ 414.41 125.18 | 128.08 | 126.63 51.91 | 54.81 | 53.36 234.41 | 234.41 | 234.41 1 = good good poor 2XA MTX + U1 = nc gen U1 B1

01/20

EEA-ETC/BD

Institution: -

Member State: AT

EEA-ETC/BD
EU28 BOR 37000 0MS = ≈ 37000 20 20 20 0MS + ≈ 20 11 | 11 | 11 3 | 3 | 3 6 | 6 | 6 0MS x good good poor 0MS MTX = U2 + nong nong U2 D

01/20

EEA-ETC/BD

Institution: -

Member State: AT

EEA-ETC/BD
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
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.