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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, Sclerophyllous scrubs, 5130 Juniperus communis formations on heaths or calcareous grasslands, All bioregions. Show all Sclerophyllous scrubs
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 0.07
N/A N/A 5.04
N/A N/A 11.10
27.50 27.50 55
6.75 N/A N/A
35.90 0.01 7.20
0.02 0.02 N/A
9 N/A N/A
1.89 1.49 137.49
N/A 0.27 N/A
1.77 0.07 0.89
1.07 1.72 N/A
22.50 22.50 22.50
16.31 1.42 N/A
N/A N/A 5.20
9.36 3.43 16.22
N/A N/A N/A
30 N/A 2.50
N/A N/A 1
0.10 0.39 N/A
11 11 N/A
N/A N/A 1
0.07 0.05 N/A
N/A N/A 6.57
2.98 0.58 0.87
30.44 5.35 12.06
3.50 5.50 N/A
30.12 30.12 30.12
56.80 2.06 0.70
0.01 N/A N/A
6.22 5.07 N/A
11 11 N/A
104 N/A N/A
N/A N/A 1.75
22 22 22
9.50 N/A N/A
58.50 1.10 6.40
N/A N/A 0.04
6.50 3.50 1.50
0.33 0.04 0.86
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 600 0.85 = >> 0.05 0.10 N/A estimate b 0.02 x >> N/A - N/A N/A - N/A 0.05 - 0.10 XX x bad bad bad U2 U2 x U2 x noChange noChange 600 c 1.63
BG ALP 5100 7.23 = 5100 N/A N/A 5.04 minimum b 1.61 = 5.04 N/A - N/A N/A - N/A 5.04 - 5.04 XX x good good unk FV FV x FV N/A method method 2000 b 5.45
ES ALP 4400 6.24 = N/A N/A 11.10 minimum b 3.54 u N/A - N/A N/A - N/A 11.10 - 11.10 XX x poor poor poor U1 U1 x FV N/A method knowledge 1700 a 4.63
FR ALP 26700 37.84 = 55 55 N/A estimate c 17.52 = N/A - 55 N/A - 55 55 - 55 U1 = good good poor U1 U1 = U1 = noChange noChange 11300 b 30.79
HR ALP 5600 7.94 = 4.50 9 N/A estimate a 2.15 = < 4.50 - 9 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 4200 a 11.44
IT ALP 18700 26.50 + 43.70 128.30 N/A estimate b 27.40 - 35.90 - 35.90 0.01 - 0.01 7.20 - 7.20 FV = good good good FV U1 = FV N/A knowledge noChange 7900 b 21.53
PL ALP 700 0.99 = N/A N/A 0.04 estimate b 0.01 = 0.02 - 0.02 0.02 - 0.02 N/A - N/A U2 u good good poor U1 U2 = U1 - genuine genuine 500 b 1.36
SI ALP 689 0.98 = N/A N/A 9 minimum b 2.87 = 9 - 9 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 400 b 1.09
SK ALP 8067.72 11.43 = N/A N/A 140.87 estimate b 44.88 = 1.89 - 1.89 1.49 - 1.49 137.49 - 137.49 U1 u good poor poor U1 U1 = U1 = N/A N/A 8100 b 22.07
BE ATL 700 0.90 = 0.26 0.28 0.26 estimate a 0.25 = >> N/A - N/A 0.26 - 0.28 N/A - N/A U2 x good poor bad U2 U2 x U2 + noChange method 500 a 1.08
DE ATL 8721 11.15 = 2.71 2.75 2.73 estimate b 2.66 x x 1.77 - 1.77 0.07 - 0.07 0.89 - 0.89 FV = good unk good FV FV = FV N/A noChange noChange 5700 a 12.31
DK ATL 12730 16.28 = N/A N/A 2.79 estimate b 2.72 = 0.47 - 1.67 1.12 - 2.32 N/A - N/A U2 x good good bad U2 U2 x U2 x N/A N/A 1000 b 2.16
FR ATL 31300 40.03 = N/A N/A 45 estimate d 43.83 = > N/A - 45 N/A - 45 N/A - 45 U1 u good poor poor U1 U1 = U1 = noChange noChange 25500 b 55.08
IE ATL 5600 7.16 = 5600 N/A N/A 17.69 minimum a 17.23 = 16.31 - 16.31 1.42 - 1.42 N/A - N/A FV = good good good FV FV = U1 = method noChange 4000 a 8.64
NL ATL 5400 6.91 = N/A N/A 5.20 estimate a 5.06 = N/A - N/A N/A - N/A 5.20 - 5.20 U1 x good good poor U1 U1 = U1 = noChange noChange 3900 a 8.42
UK ATL 13731.34 17.56 = x N/A N/A 29.01 estimate b 28.25 = 29.01 9.36 - 9.36 3.43 - 3.43 11.22 - 21.22 U2 = unk poor bad U2 U2 = U2 = noChange noChange 5700 b 12.31
BG BLS 100 0 = 100 N/A N/A 0 minimum b 0 = 0 N/A - N/A N/A - N/A 0 - 0 XX x poor poor poor U1 U1 x U1 = method method N/A b 0
EE BOR 15800 13.75 = 30 35 30 estimate b 56.09 = 30 - 30 N/A - N/A N/A - 5 FV = good good good FV FV = FV N/A noChange genuine 11200 a 47.66
LT BOR 64787 56.38 = 64787 N/A N/A 1 estimate a 1.87 u > N/A - N/A N/A - N/A 1 - 1 U1 u good poor poor U1 U1 x U1 = knowledge knowledge 2100 a 8.94
LV BOR 5327 4.64 x x 0.30 0.68 N/A estimate b 0.92 - x 0.10 - 0.10 0.20 - 0.58 N/A - N/A U2 - unk bad bad U2 U2 - U2 - genuine genuine N/A a 0
SE BOR 29000 25.24 = N/A N/A 22 estimate c 41.13 x 11 - 11 11 - 11 N/A - N/A U2 x good good bad U2 U2 x XX N/A method noChange 10200 b 43.40
AT CON 1100 0.55 = >> N/A N/A 0.99 estimate b 0.28 x >> N/A - N/A N/A - N/A 1 - 1 XX x bad bad bad U2 U2 x U2 x noChange noChange 1200 c 1.03
BE CON 1900 0.96 = >> N/A N/A 0.12 estimate a 0.03 = >> 0.05 - 0.09 0.03 - 0.07 N/A - N/A U2 + poor poor poor U2 U2 + U2 x genuine genuine 1100 a 0.94
BG CON 8400 4.24 = 8400 N/A N/A 6.57 minimum b 1.88 = 6.57 N/A - N/A N/A - N/A 6.57 - 6.57 XX x poor poor poor U1 U1 x U1 = method method 3600 b 3.08
CZ CON 19500 9.83 = N/A N/A 4.43 estimate a 1.27 = 2.98 - 2.98 0.58 - 0.58 0.87 - 0.87 U1 - poor poor poor U1 U1 - U1 - genuine method 11800 a 10.10
DE CON 55533 28 = 43.38 52.27 47.03 estimate b 13.47 = > 22.48 - 38.40 4.31 - 6.39 3.77 - 20.36 U1 - good poor poor U1 U1 - U1 = noChange method 40600 a 34.76
DK CON 29050 14.65 = N/A N/A 9 estimate b 2.58 = 1.69 - 5.31 3.69 - 7.31 N/A - N/A U2 x good good bad U2 U2 x U2 x N/A N/A 4600 b 3.94
FR CON 16277 8.21 = 11.25 49 N/A estimate c 8.63 = 11.25 - 49 11.25 - 49 11.25 - 49 FV u good unk unk XX FV x U1 = method method 17200 b 14.73
IT CON 41400 20.87 + 60.10 166.89 N/A estimate b 32.51 - 56.80 - 56.80 2.06 - 2.06 0.70 - 0.70 FV = good good good FV U1 = FV N/A knowledge noChange 22600 b 19.35
LU CON 100 0.05 = >> N/A N/A 0.01 estimate b 0 = 0.04 0.01 - 0.01 N/A - N/A N/A - N/A FV = bad bad good U2 U2 = U2 = noChange noChange 100 a 0.09
PL CON 5500 2.77 = N/A N/A 11.29 estimate b 3.23 - 3.50 - 8.95 2.34 - 7.79 N/A - N/A U1 - good good good FV U1 - FV N/A genuine genuine 2900 b 2.48
SE CON 17300 8.72 = N/A N/A 22 estimate c 6.30 x 11 - 11 11 - 11 N/A - N/A U2 x good good bad U2 U2 x XX N/A method noChange 9100 b 7.79
SI CON 2278 1.15 = N/A N/A 104 minimum b 29.79 = 104 - 104 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 2000 b 1.71
ES MED 4900 8.06 = N/A N/A 1.75 estimate a 1.25 - N/A - N/A N/A - N/A 1.75 - 1.75 XX x poor poor poor U1 U1 x N/A N/A method knowledge 1300 a 4.76
FR MED 14600 24.01 = x 6 38 N/A estimate c 15.72 + x 6 - 38 6 - 38 6 - 38 FV u good good good FV FV = FV N/A noChange noChange 4000 b 14.65
HR MED 4000 6.58 = 4 15 N/A estimate a 6.79 = < 4 - 15 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 2900 a 10.62
IT MED 37300 61.35 - 70.20 143.24 N/A estimate b 76.25 - 58.50 - 58.50 1.10 - 1.10 6.40 - 6.40 FV = good good good FV U1 = FV N/A knowledge noChange 19100 b 69.96
CZ PAN 300 4.88 = N/A N/A 0.04 estimate a 0.36 = N/A - N/A N/A - N/A 0.04 - 0.04 XX = poor poor poor FV FV = FV N/A genuine method 100 a 1.59
HU PAN 5183 84.27 = > 5 15 N/A estimate b 88.81 - > 5 - 8 2 - 5 1 - 2 U2 - poor poor bad U2 U2 - U1 - genuine noChange 5600 b 88.89
SK PAN 667.45 10.85 = N/A N/A 1.22 estimate b 10.83 = 1.25 0.33 - 0.33 0.04 - 0.04 0.86 - 0.86 FV u good good good FV U1 = U1 = N/A N/A 600 b 9.52
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 ATL 78182.34 1 = ≈ 78182.34 102.66 102.72 102.68 1 = < 112.18 27.91 | 74.11 | 51.01 6.3 | 52.52 | 29.41 17.31 | 72.31 | 44.81 1 x 2XA MTX = U1 = nong nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 100 0MS = 100 0MS = - | - | - - | - | - - | - | - 0MS 0MS MTX x N/A N/A nong nong N/A D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 114914 1 = ≈ 114914 53.3 56.68 53.49 1 = < 53.59 41.1 | 41.1 | 41.1 11.2 | 11.58 | 11.39 1 | 6 | 3.5 1 = 2XA MTX = XX = nong nc XX D

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 198338 2XA + 273.14 426.57 349.07 1 - ≈ 349.13 213.77 | 276.55 | 245.16 35.26 | 84.20 | 59.73 24.16 | 78.50 | 51.33 2XA - 2XA MTX - U1 = nc nong U1 C

03/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 60800 2XA - ≈ 60800 81.95 197.99 139.97 2XA - 68.5 | 111.5 | 90 7.1 | 39.1 | 23.1 14.15 | 46.15 | 30.15 2XA = 2XA MTX = FV = nong nc FV D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ALP 70556.72 1 + ≈ 70556.72 269.30 358.45 313.87 1 - ≈ 313.87 - | - | - - | - | - - | - | - 2XA x 2XA MTX = U1 = nc nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 6150.45 1 = < 6668.75 6.26 16.26 11.26 1 - < 108.88 5.33 | 8.33 | 6.83 2.04 | 5.04 | 3.54 1.90 | 2.90 | 2.40 2XA - 2XA MTX - U1 - gen nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
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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.