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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, Grasslands, 6110 Rupicolous calcareous or basophilic grasslands of the Alysso-Sedion albi, All bioregions. Show all Grasslands
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)
N/A N/A 0.10
N/A N/A 1.72
N/A N/A 74.10
N/A N/A 1
N/A N/A 0.05
21.67 0.45 2.10
850 N/A 50
76 N/A N/A
0.07 0.02 0.08
N/A N/A 0.01
N/A 0.04 0
18.05 6.05 2.30
N/A N/A N/A
N/A N/A 0.86
0.01 0.01 N/A
6 4 N/A
N/A N/A 0.40
N/A N/A 0.27
N/A N/A 18.99
0.50 0.01 0.08
3.19 0.36 N/A
N/A N/A 11.72
N/A N/A 0.03
11.60 0.19 0.05
0.59 0.01 N/A
0.02 0.04 0
1500 50 50
12.30 0.70 N/A
96 32 N/A
135.72 1.69 95.98
8 N/A N/A
N/A 38.22 152.90
N/A N/A 0.10
34.65 0.60 6.81
N/A N/A N/A
0.02 N/A 0
0.35 N/A N/A
0.05 0 0.04
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 19500 19.46 = 1 3 N/A minimum b 0.15 x > N/A - N/A N/A - N/A 0.10 - 0.10 XX x good poor unk U1 U1 x U1 = noChange noInfo 6200 b 14.12
BG ALP 14000 13.97 u 14000 N/A N/A 1.72 minimum b 0.13 = 1.72 N/A - N/A N/A - N/A 1.72 - 1.72 XX x poor poor poor U1 U1 x FV N/A method method 3200 b 7.29
ES ALP 6100 6.09 = N/A N/A 74.10 estimate a 5.69 x N/A - N/A N/A - N/A 74.10 - 74.10 XX x good good good FV XX XX N/A noChange noChange 1900 b 4.33
FR ALP 29300 29.24 = 1 1 N/A estimate c 0.08 = N/A - N/A N/A - N/A 1 - 1 XX = good good good FV FV = U1 = method noChange 10900 b 24.83
HR ALP 3800 3.79 u x N/A N/A 0.05 minimum c 0 u x N/A - N/A N/A - N/A 0.05 - 0.05 XX u unk unk unk XX XX N/A N/A noChange noChange 2700 b 6.15
IT ALP 15600 15.57 = > 26.82 69.49 N/A estimate b 3.70 + 21.67 - 21.67 0.45 - 0.45 2.10 - 2.10 U1 = poor good poor U1 U1 + U2 - knowledge knowledge 7900 b 18
RO ALP 1800 1.80 = N/A N/A 1100 interval b 84.41 = 700 - 1000 N/A - N/A N/A - 100 FV = good good good FV FV = FV N/A noChange noChange 800 a 1.82
SI ALP 2389 2.38 = N/A N/A 76 minimum b 5.83 = 76 - 76 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 2400 b 5.47
SK ALP 7711.57 7.70 = N/A N/A 0.17 estimate b 0.01 = > 0.07 - 0.07 0.02 - 0.02 0.08 - 0.08 FV u good good good FV FV = FV N/A N/A knowledge 7900 b 18
BE ATL 2700 8.07 = N/A N/A 0.01 estimate b 0.04 = >> N/A - N/A N/A - N/A 0.01 - 0.01 U2 x good bad bad U2 U2 x U2 - noChange noChange 800 a 5.97
DE ATL 1050 3.14 = 0.04 0.04 0.04 minimum b 0.18 = 0.04 N/A - N/A 0.04 - 0.04 0 - 0 U2 - good good bad U2 U2 - U2 - noChange noChange 600 b 4.48
FR ATL 29400 87.89 = 15982 9.80 40 N/A estimate b 99.78 - x 6.70 - 29.40 2.20 - 9.90 0.90 - 3.70 U1 - good poor poor U1 U1 - U1 = noChange noChange 11600 b 86.57
NL ATL 300 0.90 = N/A N/A 0 estimate a 0 = >> N/A - N/A N/A - N/A N/A - N/A U1 + good bad poor U2 U2 + U2 = noChange method 400 a 2.99
BG BLS 5200 100 u 5200 N/A N/A 0.86 minimum b 100 u 0.86 N/A - N/A N/A - N/A 0.86 - 0.86 XX x poor poor poor U1 U1 x U1 = method method 1700 b 100
LV BOR 414 3.50 = x 0.03 0.03 N/A estimate b 0.29 = x 0.01 - 0.01 0.01 - 0.01 N/A - N/A U2 - poor unk poor U1 U2 - U1 - knowledge knowledge N/A a 0
SE BOR 11400 96.50 = N/A N/A 10 estimate b 99.71 = 6 - 6 4 - 4 N/A - N/A U2 - good good bad U2 U2 - U2 - noChange noChange 5900 b 100
AT CON 13400 5.06 = N/A N/A 0.40 minimum b 0.02 x > N/A - N/A N/A - N/A 0.40 - 0.40 XX x good poor unk U1 U1 x U1 = noChange noInfo 4200 b 3.24
BE CON 6600 2.49 = 0.50 0.55 0.53 estimate b 0.02 = >> N/A - N/A N/A - N/A N/A - 0.53 U2 x good bad bad U2 U2 = U2 + noChange noChange 4500 a 3.47
BG CON 61000 23.03 u 61000 N/A N/A 18.99 minimum b 0.88 u 18.99 N/A - N/A N/A - N/A 18.99 - 18.99 XX x poor poor poor U1 U1 x U1 = method method 20600 b 15.91
CZ CON 13400 5.06 u N/A N/A 0.59 estimate a 0.03 u 0.50 - 0.50 0.01 - 0.01 0.08 - 0.08 U1 u good good poor U1 U1 x U1 = noInfo noInfo 6400 a 4.94
DE CON 63644 24.03 = > 2.73 3.69 3.54 estimate b 0.16 - > 2.23 - 4.14 0.25 - 0.47 N/A - N/A U1 - poor poor poor U1 U1 - U1 - noChange noChange 47400 b 36.60
FR CON 55700 21.03 = 3.45 20 N/A minimum c 0.54 - > N/A - N/A N/A - N/A 3.45 - 20 U1 x good poor poor U1 U1 x U1 = method N/A 21800 b 16.83
HR CON 600 0.23 u x N/A N/A 0.03 minimum c 0 u x N/A - N/A N/A - N/A 0.03 - 0.03 XX u unk unk unk XX XX N/A N/A noChange noChange 600 b 0.46
IT CON 35300 13.33 = 57.27 126.17 N/A estimate b 4.23 + 11.60 - 11.60 0.19 - 0.19 0.05 - 0.05 U1 = good good poor U1 U1 + U1 - noChange knowledge 14900 b 11.51
LU CON 2500 0.94 = 0.47 0.76 N/A estimate b 0.03 = 0.45 - 0.74 0.01 - 0.01 N/A - N/A FV + good good good FV FV + U1 x knowledge knowledge 1100 a 0.85
PL CON 3400 1.28 = 0.04 0.08 0.06 minimum b 0 - > 0.01 - 0.03 0.04 - 0.05 0 - 0 U2 - good poor bad U2 U2 - U1 - knowledge noChange 2400 b 1.85
RO CON 4800 1.81 = N/A N/A 1900 interval b 87.59 = 1300 - 1700 N/A - 100 N/A - 100 FV = good good good FV FV = FV N/A knowledge knowledge 1500 a 1.16
SE CON 1300 0.49 = N/A N/A 13 estimate b 0.60 = 12.30 - 12.30 0.70 - 0.70 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1000 b 0.77
SI CON 3189 1.20 = N/A N/A 128 minimum b 5.90 - > 96 - 96 32 - 32 N/A - N/A XX x good poor unk U1 U1 x U1 = noChange noInfo 3100 b 2.39
ES MED 85500 47.36 = x N/A N/A 233.39 estimate b 48.77 - x 135.72 - 135.72 1.69 - 1.69 95.98 - 95.98 U1 x unk unk unk XX U2 x U1 x knowledge noChange 43800 b 47.15
FR MED 30900 17.12 = x 5 11 N/A estimate c 1.67 = x 5 - 11 N/A - N/A N/A - N/A FV u good good good FV FV = FV N/A noChange noChange 12000 b 12.92
GR MED 743 0.41 = N/A N/A 191.12 estimate b 39.94 = N/A - N/A 38.22 - 38.22 152.90 - 152.90 U1 + good good poor U1 U1 + U1 = noChange knowledge 7000 b 7.53
HR MED 5900 3.27 u x N/A N/A 0.10 minimum c 0.02 u x N/A - N/A N/A - N/A 0.10 - 0.10 XX u unk unk unk XX XX N/A N/A noChange noChange 4700 b 5.06
IT MED 49600 27.47 + 42.48 49.41 N/A estimate b 9.60 - > 34.65 - 34.65 0.60 - 0.60 6.81 - 6.81 U1 - good poor poor U1 U1 - XX N/A knowledge knowledge 20500 b 22.07
PT MED 7900 4.38 = x N/A N/A N/A d 0 = N/A - N/A N/A - N/A N/A - N/A FV = good good good FV FV = U1 = knowledge knowledge 4900 c 5.27
CZ PAN 2000 32.81 u N/A N/A 0.02 estimate a 4.19 u 0.02 - 0.02 N/A - N/A 0 - 0 FV u good good poor U1 U1 x U1 = noInfo noInfo 400 a 8.51
HU PAN 3267 53.60 = 0.20 0.50 N/A estimate a 75.25 = > 0.20 - 0.50 N/A - N/A N/A - N/A FV = good poor good U1 U1 = U1 = noChange noChange 3300 a 70.21
SK PAN 828.07 13.59 = N/A N/A 0.10 estimate b 20.55 = > 0.05 - 0.05 0 - 0 0.04 - 0.04 FV u good good good FV FV = FV N/A N/A N/A 1000 b 21.28
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 CON 264833 1 x < 271197.4 225 312 269.20 1 - < 283.57 - | - | 124 - | - | 33 - | - | 32 2XA 2XA MTX x U1 - nc nong U1 D

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 MED 180543 1 + ≈ 180543 2GD - | - | - - | - | - - | - | - 2GD 2GD MTX x U1 x nong nc U1 D

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 PAN 6095 2XA ≈ 6095 0.32 0.62 0.47 2XA < 0.51 0.27 | 0.57 | - 0 | 0 | - 0.04 | 0.04 | - 2XA 2XA MTX = U1 = nc nc U1 D

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 BOR 11814 0EQ = ≈ 11814 10.03 2XA = - | - | 6 - | - | 4 - | - | 0 0EQ - 2XA MTX - U2 - nc nc U2 C

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 ATL 33450 0EQ = ≈ 20032 9.85 40.1 24.95 2XA - 6.7 | 29.4 | - 2.2 | 9.9 | - 0.9 | 3.7 | - 1 - 2XA MTX - U1 = nc nong U1 C

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 BLS 5200 0MS x 5200 0.86 0MS x 0.86 - | - | 0 - | - | 0 - | - | 0.86 0MS x 0MS MTX x U1 = nc nong U1 D

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

EEA-ETC/BD
EU28 ALP 100200.57 1 = < 101760.57 181 226 203.20 1 + < 203.37 - | - | 98 - | - | 0.5 - | - | 79 2XA = 2XA MTX + U1 = nong nong U1 A=

01/20

EEA-ETC/BD

Institution: -

Member State: Slovakia

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.