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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, Rocky habitats, 8110 Siliceous scree of the montane to snow levels (Androsacetalia alpinae and Galeopsietalia ladani), All bioregions. Show all Rocky habitats
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)
953 4 N/A
N/A N/A 200.74
0.38 N/A 0.01
7 N/A N/A
194 194 194
N/A N/A 1569.92
1.05 N/A N/A
2300 N/A 50
390 N/A 40
2.25 0.58 13.52
13.40 2.10 N/A
109.81 19.39 507.55
1 N/A N/A
1.35 N/A 0.15
N/A N/A 26.01
1.81 N/A N/A
0.36 0.01 0.06
23 23 46
2.30 0.05 0.03
0.78 0.13 N/A
N/A N/A 1888.37
1.60 N/A N/A
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 16100 8.84 = N/A N/A 957 interval a 15.26 = 953 - 953 4 - 4 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 13100 b 11.80
BG ALP 13200 7.25 = 13200 N/A N/A 200.74 minimum b 3.20 = 200.74 N/A - N/A N/A - N/A 200.74 - 200.74 XX x poor poor poor U1 U1 x U1 = method method 5800 b 5.23
DE ALP 522 0.29 = 522 0.38 0.38 0.38 estimate a 0.01 = 0.38 0.38 - 0.38 N/A - N/A 0.01 - 0.01 FV = good good good FV FV = FV N/A noChange noChange 700 a 0.63
FI ALP 6800 3.73 = N/A N/A 7 estimate a 0.11 = 7 - 7 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 3200 a 2.88
FR ALP 20900 11.48 = 388 388 N/A estimate c 6.19 = N/A - 388 N/A - 388 N/A - 388 FV = good good good FV FV = FV N/A noChange noChange 18100 b 16.31
IT ALP 42600 23.40 + 1206 1933.80 N/A estimate b 25.04 - N/A - N/A N/A - N/A 1206 - 1933.83 XX = good good unk FV U1 = FV N/A knowledge knowledge 30700 b 27.66
PL ALP 600 0.33 = N/A N/A 1.05 estimate a 0.02 = 1.05 - 1.05 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 100 a 0.09
RO ALP 5000 2.75 = N/A N/A 2700 interval b 43.06 = 2000 - 2600 N/A - N/A N/A - 100 FV = good good good FV FV = FV N/A noChange noChange 2700 a 2.43
SE ALP 75200 41.30 = 75200 N/A N/A 430 estimate c 6.86 = 430 390 - 390 N/A - N/A 40 - 40 FV = good good good FV FV = FV N/A noChange noChange 35300 c 31.80
SK ALP 1155.95 0.63 = N/A N/A 16.35 estimate b 0.26 = 2.25 - 2.25 0.58 - 0.58 13.52 - 13.52 FV u good good good FV FV = FV N/A N/A N/A 1300 b 1.17
IE ATL 15600 32.62 = 15600 N/A N/A 15.50 minimum b 2.38 = 11.30 - 15.50 N/A - 4.20 N/A - N/A U1 = good good poor U1 U1 = U1 + noChange knowledge 11400 b 47.30
UK ATL 32227.70 67.38 = 32227.70 N/A N/A 636.67 estimate c 97.62 = 636.67 109.80 - 109.82 19.38 - 19.40 507.47 - 507.64 U1 + good good poor U1 U1 + U1 + noChange noChange 12700 a 52.70
FI BOR 4000 14.76 = N/A N/A 1 estimate b 40 = 1 - 1 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1700 a 25.37
SE BOR 23100 85.24 = 23100 N/A N/A 1.50 estimate c 60 = 1.50 1.35 - 1.35 N/A - N/A 0.15 - 0.15 FV = good good good FV FV = FV N/A noChange noChange 5000 c 74.63
BG CON 9000 42.41 - 9000 N/A N/A 26.01 minimum b 31.37 - 26.01 N/A - N/A N/A - N/A 26.01 - 26.01 XX x poor poor poor U1 U1 x U1 = method method 2000 b 19.61
CZ CON 900 4.24 = N/A N/A 1.81 estimate a 2.19 = 1.81 - 1.81 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 500 a 4.90
DE CON 2119 9.99 = 2119 0.43 0.47 0.45 estimate b 0.54 = 0.35 - 0.38 0.01 - 0.01 0.06 - 0.06 FV = good good good FV FV = FV N/A noChange noChange 1900 a 18.63
FR CON 4800 22.62 = x 46 46 N/A estimate c 55.47 = x N/A - 46 N/A - 46 46 - 46 FV = good good good FV FV = FV N/A noChange noChange 4100 b 40.20
IT CON 3300 15.55 + 2.80 12.70 N/A estimate b 9.35 - 2.30 - 2.30 0.05 - 0.05 0.03 - 0.03 FV = good good unk FV U1 = FV N/A noChange noChange 1200 b 11.76
PL CON 1100 5.18 = N/A N/A 0.90 estimate a 1.09 = 0.78 - 0.78 0.13 - 0.13 N/A - N/A FV = good good good FV FV = U1 = knowledge noChange 500 a 4.90
FR MED 4100 56.16 = x N/A N/A 1888.37 estimate d 99.60 = x N/A - N/A N/A - N/A 1888.37 - 1888.37 FV = good good good FV FV = FV N/A noChange noChange 1800 b 58.06
IT MED 3200 43.84 + 1.60 13.47 N/A estimate b 0.40 - 1.60 - 1.60 N/A - N/A N/A - N/A FV = good good unk FV U1 = FV N/A knowledge noChange 1300 b 41.94
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 182078 0EQ = ≈ 182078 2GD - ≈ 6270 3354 | 4342 | 3848 4.58 | 393 | 199 - | - | 2223 2GD = good good good 2GD MTX = FV = nong nc FV D

02/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 ATL 47828 0EQ = ≈ 47828 652 0EQ = ≈ 652 121 | 125 | 123 19 | 24 | 21 507 | 508 | 508 2XA + 0EQ MTX + U1 + nc nc U1 B1

02/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 BOR 27100 0EQ = ≈ 27100 2.5 0EQ = ≈ 2.5 2.35 | 2.35 | 2.35 - | - | - 0.15 | 0.15 | 0.15 0EQ = 0EQ MTX = FV = nc nc FV A=

12/19

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 CON 21219 1 - ≈ 21219 78 88 83 2XA - x 83 5.24 | 51 | 28 0.19 | 46 | 23 72 | 72 | 72 2XA = 2XA MTX x U1 = nc nong U1 D

03/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 MED 7300 1 + ≈ 7300 2GD - - | - | - - | - | - - | - | - 2GD = good good unk 2GD MTX = FV = nong nc FV D

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.