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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, 9150 Medio-European limestone beech forests of the Cephalanthero-Fagion, 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)
245 50 N/A
577.15 N/A N/A
8.50 0.60 1
7.23 9.58 146.33
3 550 550
218.65 14.07 2.85
3.38 2.62 N/A
144 16 N/A
13.24 3.52 563.24
N/A N/A 2
0.40 0.04 N/A
55.44 16.52 78.55
22.50 142.50 75
0.01 N/A N/A
N/A N/A 22.50
N/A N/A 99
477.76 N/A N/A
8.09 0.43 1.27
99.37 14.12 22.35
0.18 6.47 N/A
77.50 969.50 61.50
0.24 N/A 0.09
7.51 4.12 N/A
176 7 N/A
59.92 107.40 127.62
209.50 50.50 130
N/A 59.28 237.12
N/A N/A N/A
12.50 5 2
0.67 0.86 2.48
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 28800 19.89 = N/A N/A 295 estimate a 9.91 - 245 - 245 50 - 50 N/A - N/A U1 - good poor poor U1 U1 - U1 = N/A N/A 15000 b 17.42
BG ALP 22100 15.27 = 22100 N/A N/A 577.15 estimate a 19.40 = 577.15 577.15 - 577.15 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 9000 a 10.45
DE ALP 3819 2.64 = 3819 9.77 10.44 10.11 estimate b 0.34 = 10.11 8 - 9 0.40 - 0.80 0.30 - 1.70 FV = good good good FV FV = FV N/A noChange noChange 3800 b 4.41
ES ALP 10600 7.32 x > N/A N/A 163.14 estimate b 5.48 x 7.23 - 7.23 9.58 - 9.58 146.33 - 146.33 XX x unk unk unk XX U1 x U1 = noChange noInfo 4200 b 4.88
FR ALP 34000 23.49 = 100 1000 N/A estimate d 18.49 x 1 - 5 100 - 1000 100 - 1000 U2 - good unk bad U2 U2 x U1 = genuine noChange 18100 a 21.02
IT ALP 16800 11.60 = 436.35 831.56 N/A estimate b 21.31 - >> 218.65 - 218.65 14.07 - 14.07 2.85 - 2.85 U1 - good poor poor U1 U2 - U1 - knowledge noChange 12600 b 14.63
PL ALP 1300 0.90 = N/A N/A 6 estimate a 0.20 = 2.25 - 4.50 1.50 - 3.75 N/A - N/A U1 = good good good FV U1 = U1 + noChange knowledge 500 b 0.58
RO ALP 9300 6.42 = N/A N/A 160 estimate a 5.38 = 144 - 144 16 - 16 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 4700 a 5.46
SK ALP 18050.16 12.47 = N/A N/A 580 estimate b 19.49 + 13.24 - 13.24 3.52 - 3.52 563.24 - 563.24 FV u good good good FV FV = FV N/A N/A N/A 18200 b 21.14
BE ATL 2800 11.34 = 1.50 2.50 2 estimate b 0.66 = N/A - N/A N/A - N/A 1.50 - 2.50 U1 x good good poor U1 U1 x U1 x noChange noChange 1000 a 7.87
DE ATL 3101 12.55 = 0.44 0.44 0.44 estimate b 0.15 = 0.39 - 0.41 0.03 - 0.06 N/A - N/A FV x good good good FV FV = U1 = knowledge noChange 1700 b 13.39
ES ATL 12900 52.22 = N/A N/A 150.52 estimate b 49.68 = 55.44 - 55.44 10.54 - 22.50 72.57 - 84.53 U1 = unk good unk XX U1 = U1 = noChange noChange 6100 b 48.03
FR ATL 5900 23.89 = 50 300 150 interval c 49.51 = 15 - 30 135 - 150 N/A - 150 U2 x poor good poor U1 U2 = U1 = knowledge noChange 3900 a 30.71
BG BLS 100 100 = 100 N/A N/A 0.01 estimate a 100 = 0.01 0.01 - 0.01 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange method 100 a 100
AT CON 12700 6.45 = 8 37 N/A estimate b 1.13 x x N/A - N/A N/A - N/A 8 - 37 XX x good unk unk XX XX U2 = noInfo noInfo 3300 b 2.69
BE CON 7500 3.81 = 93 105 99 interval a 4.97 = N/A - N/A N/A - N/A 93 - 105 U1 = good good poor U1 U1 = U1 + noChange knowledge 5500 a 4.48
BG CON 41200 20.91 = 41200 N/A N/A 477.76 estimate a 23.97 = 477.76 477.76 - 477.76 N/A - N/A N/A - N/A FV = poor poor poor U1 U1 + U1 = noChange knowledge 19000 a 15.48
CZ CON 11700 5.94 = N/A N/A 9.79 estimate a 0.49 = 8.09 - 8.09 0.43 - 0.43 1.27 - 1.27 U1 = good poor poor U1 U1 = U1 = noChange noChange 6000 a 4.89
DE CON 68119 34.58 = 135.73 136.16 135.94 estimate b 6.82 = 94.59 - 104.15 12.52 - 15.72 18.09 - 26.61 FV = good good good FV FV = FV N/A noChange noChange 51500 b 41.97
DK CON 2895 1.47 = N/A N/A 6.66 estimate b 0.33 x N/A - 0.37 6.29 - 6.66 N/A - N/A U2 - good unk bad U2 U2 - U2 = N/A N/A 1900 b 1.55
FR CON 35000 17.77 = N/A N/A 1047 estimate c 52.52 = < 16 - 139 908 - 1031 N/A - 123 U1 u poor good poor U1 U1 = U1 x noChange noChange 25500 a 20.78
LU CON 600 0.30 = 0.16 0.34 N/A estimate b 0.01 = 0.16 - 0.33 N/A - N/A N/A - 0.17 FV = good good good FV FV = FV N/A noChange knowledge 300 a 0.24
PL CON 8400 4.26 = N/A N/A 11.63 estimate b 0.58 = 4.60 - 10.42 1.21 - 7.03 N/A - N/A U1 = good good good FV U1 = U1 + noChange knowledge 5700 b 4.65
RO CON 8900 4.52 = N/A N/A 183 estimate a 9.18 = 176 - 176 7 - 7 N/A - N/A FV = good good good FV FV = FV N/A N/A N/A 4000 a 3.26
ES MED 34000 53.72 = N/A N/A 335.89 estimate c 37.64 u > 59.92 - 59.92 107.40 - 107.40 86.67 - 168.57 U2 = unk unk bad U2 U2 = U2 = noChange noChange 14600 b 41.13
FR MED 28300 44.71 = x 260 260 N/A estimate c 29.14 = x 167 - 252 8 - 93 94 - 166 U1 x good good poor XX U1 = U1 = noChange noChange 14500 a 40.85
GR MED 990 1.56 = N/A N/A 296.40 estimate b 33.22 = N/A - N/A 59.28 - 59.28 237.12 - 237.12 U1 + good good poor U1 U1 + FV N/A knowledge knowledge 6400 b 18.03
IT MED 1900 0 x > N/A N/A 2.85 estimate b 0 x x N/A - N/A N/A - N/A 1.63 - 1.63 XX x unk unk unk XX U2 x N/A N/A knowledge knowledge N/A b 0
HU PAN 4674 90.88 = 18 21 N/A estimate b 82.98 = 12 - 13 4 - 6 2 - 2 U1 = good good poor U1 U1 = FV N/A knowledge noChange 4700 b 92.16
SK PAN 469.25 9.12 = N/A N/A 4 estimate b 17.02 = 0.67 - 0.67 0.86 - 0.86 2.48 - 2.48 U1 u good poor poor U1 U1 = FV N/A knowledge N/A 400 b 7.84
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 5143.25 1 = ≈ 5143.25 22 25 23.5 1 = ≈ 23.5 12.67 | 13.67 | 13.17 4.86 | 6.86 | 5.86 4.48 | 4.48 | 4.48 1 = good good poor 2XA MTX = FV = nong nc FV D

02/20

EEA-ETC/BD

Institution: -

Member State: AT

EEA-ETC/BD
EU28 BLS 100 0MS = ≈ 100 0.01 0MS = ≈ 0.01 0.01 | 0.01 | 0.01 - | - | - - | - | - 0MS = poor poor 0MS MTX = U1 = nc nc U1 D

12/19

EEA-ETC/BD

Institution: -

Member State: AT

EEA-ETC/BD
EU28 CON 197014 1 = ≈ 197014 1972.73 2014.36 1993.53 1 = ≈ 1993.53 777.2 | 916.12 | 846.66 935.45 | 1067.84 | 1001.65 120.36 | 170.05 | 145.2 2XA = poor poor poor 2XA MTX = U1 = nc nc U1 D

01/20

EEA-ETC/BD

Institution: -

Member State: AT

EEA-ETC/BD
EU28 MED 128200 1 = ≈ 128200 895.14 895.14 895.14 1 = > 895.14 - | - | - - | - | - - | - | - 2XA x unk unk bad 2XA MTX = U2 = nc nc U2 D

03/20

EEA-ETC/BD

Institution: -

Member State: AT

EEA-ETC/BD
EU28 ALP 144919 1 = ≈ 145979 2327.40 3623.3 2975.36 2XA - > 1215.52 | 1218.77 | 1217.15 95.07 | 97.72 | 96.4 1013.5 | 2310.11 | 1661.81 1 - good poor poor 2XA MTX - U1 = nc nong U1 C

12/19

EEA-ETC/BD

Institution: -

Member State: AT

EEA-ETC/BD
EU28 ATL 24701 1 = ≈ 24701 202.46 453.46 302.96 1 = ≈ 302.96 - | - | - - | - | - - | - | - 2XA = unk good unk 2XA MTX = U1 = nong nc U1 D

01/20

EEA-ETC/BD

Institution: -

Member State: AT

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