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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, Freshwater habitats, 3140 Hard oligo-mesotrophic waters with benthic vegetation of Chara spp., All bioregions. Show all Freshwater 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)
N/A N/A 40
0.18 0.04 N/A
25.50 0.50 0.50
N/A N/A 0.11
12 3 15
0.60 N/A N/A
3.48 6.05 3.69
95.55 9.45 N/A
0.80 0.30 2.90
0 0 0.01
N/A 1.95 2.94
3.25 0.77 N/A
1.20 10 25
0.40 0.23 1.25
23.75 5.05 27.45
24 297.50 52
52 19 47
4.57 2.90 4.39
0 N/A N/A
225 N/A 25
25.50 N/A 17.50
27 3 19
N/A N/A 97.90
80.97 14.29 N/A
86.84 80.16 167
N/A N/A 5
N/A N/A 0.46
0.36 1.84 2.63
0.23 0 0.02
522.57 187.68 104.72
39.50 20.60 37.40
38.50 16.50 50.05
1.22 0.46 0.09
0.01 N/A N/A
94 137 N/A
600 N/A 50
5.46 5.04 10.50
0.11 0.02 N/A
9.08 125.70 3.53
5.50 5.50 5.50
2.99 N/A 0.33
29.68 N/A 1.20
45.51 0.02 1.22
0 N/A N/A
N/A N/A N/A
0.01 0 N/A
0.03 0.01 0.01
650 25 25
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 5000 11.79 x x N/A N/A 40 estimate b 18.70 = x N/A - N/A N/A - N/A 40 - 40 U1 x unk poor poor XX U1 x U1 x noChange noChange 4500 b 17.72
BG ALP 1700 4.01 = 1700 N/A N/A 0.21 minimum b 0.10 = 0.21 0.18 - 0.18 0.04 - 0.04 N/A - N/A U1 = good good poor U1 U1 = U1 = noChange noChange 700 b 2.76
DE ALP 3659 8.63 = 3659 26 27 26.50 estimate a 12.39 = 26.50 25 - 26 0.50 - 0.50 0.50 - 0.50 FV = good good good FV FV = FV N/A noChange noChange 3300 b 12.99
ES ALP 500 1.18 x N/A N/A 0.11 estimate b 0.05 x N/A - N/A N/A - N/A 0.11 - 0.11 XX x unk unk unk XX XX U1 - noInfo noInfo 400 b 1.57
FR ALP 15000 35.38 = 10 30 20 estimate c 9.35 = 9 - 15 1 - 5 10 - 20 XX x unk unk poor U1 U1 = U1 = noChange noChange 6400 b 25.20
HR ALP 900 2.12 x x N/A N/A 0.60 minimum c 0.28 x x 0.60 - 0.60 N/A - N/A N/A - N/A XX x unk unk unk XX XX N/A N/A noChange noChange 700 a 2.76
IT ALP 12300 29.01 - >> 15.84 19.09 N/A estimate b 8.16 - > 3.48 - 3.48 6.05 - 6.05 3.69 - 3.69 U2 - bad bad bad U2 U2 - U1 = knowledge knowledge 6900 b 27.17
SE ALP 1100 2.59 = 1100 N/A N/A 105 estimate b 49.09 = 105 95.55 - 95.55 9.45 - 9.45 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 200 b 0.79
SI ALP 597 1.41 = N/A N/A 4 minimum b 1.87 = > 0.80 - 0.80 0.30 - 0.30 2.90 - 2.90 U1 = good good bad U2 U2 = U2 = noChange noChange 600 a 2.36
SK ALP 1639.20 3.87 = N/A N/A 0.02 estimate c 0.01 = 0 - 0 0 - 0 0.01 - 0.01 FV u good poor poor U1 U1 = U1 - N/A N/A 1700 b 6.69
BE ATL 10300 5.50 = > 4.84 5.26 4.87 estimate a 0.87 = N/A - N/A 1.93 - 1.98 2.91 - 2.96 U2 = good poor bad U2 U2 = FV N/A method method 5200 a 4.46
DE ATL 2443 1.30 = 4.03 4.03 4.03 estimate b 0.72 = 4.03 3.25 - 3.25 0.77 - 0.77 N/A - N/A U1 x good good poor U1 U1 = U1 = noChange noChange 2000 b 1.72
DK ATL 13500 7.21 = N/A N/A 36.10 estimate b 6.43 u 1.20 - 1.20 10 - 10 25 - 25 U2 u good good bad U2 U2 x U2 + N/A N/A 3500 b 3
ES ATL 3000 1.60 = > N/A N/A 1.73 estimate b 0.31 = x 0.27 - 0.53 0.09 - 0.36 1.13 - 1.37 XX x good good unk FV U1 = U1 - noChange knowledge 2600 b 2.23
FR ATL 62600 33.41 x 37.50 75 37.46 minimum d 6.67 = > 10 - 37.50 0.10 - 10 27.40 - 27.50 U1 x unk poor poor U1 U1 x U1 = noChange noChange 50800 b 43.57
IE ATL 28000 14.95 = 28000 283 464 N/A estimate b 66.48 = 283 20 - 28 224 - 371 39 - 65 U2 - good good bad U2 U2 - U2 - noChange noChange 19400 b 16.64
NL ATL 6200 3.31 = N/A N/A 92 estimate a 16.38 = 37 - 67 4 - 34 47 - 47 U1 = good good poor U1 U1 = U1 + noChange knowledge 5400 a 4.63
UK ATL 61310.25 32.72 = 61310.25 N/A N/A 12.12 minimum c 2.16 = 4.57 - N/A 2.90 - N/A 4.39 - N/A U2 = good good bad U2 U2 = U2 = noChange noChange 27700 b 23.76
BG BLS 600 40 = 600 N/A N/A 0 minimum b 0 = 0 0 - 0 N/A - N/A N/A - N/A FV = good good good FV FV = U1 = method method 100 b 33.33
RO BLS 900 60 + N/A N/A 400 interval b 100 = 100 - 350 N/A - N/A N/A - 50 FV = good good good FV FV = FV N/A noChange noChange 200 b 66.67
EE BOR 18500 14.27 = N/A N/A 43 estimate a 6.95 + 25.50 - 25.50 N/A - N/A 17.50 - 17.50 XX + good good good FV FV + FV N/A knowledge knowledge 8900 a 25.65
FI BOR 6800 5.25 = N/A N/A 49 estimate b 7.91 = 27 - 27 3 - 3 19 - 19 U1 - good good poor U1 U1 - U1 + noChange genuine 3900 b 11.24
LT BOR 64787 49.97 = 64787 N/A N/A 97.90 estimate a 15.81 u N/A - N/A N/A - N/A 97.90 - 97.90 U1 u good good poor U1 U1 x U1 = knowledge knowledge 4600 a 13.26
LV BOR 10660 8.22 = x 76.20 114.30 N/A estimate b 15.38 x x 64.77 - 97.16 11.43 - 17.14 N/A - N/A U1 x good good poor U1 U1 x U1 x knowledge knowledge 5000 c 14.41
SE BOR 28900 22.29 = 28900 N/A N/A 334 estimate b 53.94 = 334 86.84 - 86.84 80.16 - 80.16 167 - 167 U1 = good good poor U1 U1 = U1 = noChange noChange 12300 b 35.45
AT CON 4000 1.17 x x N/A N/A 5 estimate b 0.23 - x N/A - N/A N/A - N/A 5 - 5 U1 x unk unk unk XX U1 x U1 x noChange noChange 3100 b 1.25
BE CON 5500 1.61 x x N/A N/A 0.46 estimate c 0.02 x x N/A - N/A N/A - N/A 0.46 - 0.46 U2 x poor poor unk U1 U2 x U2 = N/A N/A 1800 a 0.72
BG CON 7600 2.23 = 7600 N/A N/A 4.83 minimum b 0.22 = 4.83 0.36 - 0.36 1.84 - 1.84 2.63 - 2.63 U1 - poor poor poor U1 U1 x U1 = noChange noChange 3000 b 1.21
CZ CON 28700 8.42 u N/A N/A 0.25 estimate a 0.01 u 0.23 - 0.23 0 - 0 0.02 - 0.02 U1 = good good poor U1 U1 x U1 = noChange noChange 10800 a 4.34
DE CON 70511 20.68 = 878.90 1034.86 956.88 estimate b 43.85 - > 460.41 - 584.72 183.47 - 191.88 5.32 - 204.11 U1 - good poor poor U1 U1 - U1 - noChange noChange 49900 b 20.05
DK CON 29200 8.56 = N/A N/A 97.50 estimate b 4.47 u 39.50 - 39.50 20.60 - 20.60 37.40 - 37.40 U1 u good good poor U1 U1 x U2 + N/A N/A 14700 b 5.91
FR CON 35100 10.29 = 10 100 N/A estimate c 2.52 - > 7 - 70 3 - 30 0.10 - 100 U1 x poor poor poor U1 U1 x U1 - noChange noChange 26600 b 10.69
IT CON 22800 6.69 - >> 5.03 14.96 N/A estimate b 0.46 + x 1.22 - 1.22 0.46 - 0.46 0.09 - 0.09 U1 - bad unk poor U2 U2 x U1 = knowledge knowledge 12200 b 4.90
LU CON 1600 0.47 = > 0.01 0.01 N/A estimate b 0 = > 0.01 - 0.01 N/A - N/A N/A - N/A FV = poor poor good U1 U1 = U1 = noChange noChange 800 a 0.32
PL CON 128600 37.71 = 200 263 231 estimate b 10.59 - > 59 - 129 102 - 172 N/A - N/A U2 - good poor poor U1 U2 - U2 = noChange genuine 122700 b 49.30
RO CON 800 0.23 = N/A N/A 800 interval b 36.66 = 500 - 700 N/A - N/A N/A - 100 FV = good good good FV FV = FV N/A noChange noChange 800 b 0.32
SE CON 6600 1.94 = 6600 N/A N/A 21 estimate b 0.96 = 21 5.46 - 5.46 5.04 - 5.04 10.50 - 10.50 U1 = good good poor U1 U1 = U1 = noChange noChange 2500 b 1
CY MED 143 0.19 = N/A N/A 0.13 estimate c 0.06 x 0.11 - 0.11 0.02 - 0.02 N/A - N/A U1 x good poor poor U1 U1 x FV N/A knowledge knowledge 800 b 1.08
ES MED 38800 50.77 x x N/A N/A 138.30 minimum a 65.64 - x 9.08 - 9.08 125.70 - 125.70 3.53 - 3.53 U2 - unk bad bad U2 U2 - U1 = knowledge genuine 37700 b 50.81
FR MED 8000 10.47 = 2 9 N/A estimate c 2.61 = 2 - 9 2 - 9 2 - 9 U1 u good good poor U1 U1 = U1 - noChange noInfo 6100 b 8.22
GR MED 1880 2.46 = N/A N/A 3.32 minimum b 1.58 = > 2.99 - 2.99 N/A - N/A 0.33 - 0.33 FV = good poor good U1 U1 = U1 = noChange noChange 11000 b 14.82
HR MED 2500 3.27 x x 0.80 30.87 N/A minimum c 7.52 x x 29.68 - 29.68 N/A - N/A 1.20 - 1.20 XX x unk unk unk XX XX N/A N/A noChange noChange 2200 a 2.96
IT MED 20300 26.56 - >> 47.07 48.11 N/A estimate b 22.59 = 45.51 - 45.51 0.02 - 0.02 1.22 - 1.22 FV = bad good good U2 U2 - FV N/A knowledge knowledge 13500 b 18.19
MT MED 1 0 = >> N/A N/A 0 estimate a 0 = >> 0 - 0 N/A - N/A N/A - N/A FV = bad bad good U2 U2 = U1 x knowledge noChange 100 a 0.13
PT MED 4800 6.28 = N/A N/A N/A N/A 0 x N/A - N/A N/A - N/A N/A - N/A XX x good unk unk XX XX FV N/A N/A N/A 2800 c 3.77
CZ PAN 2900 75.64 u N/A N/A 0.01 estimate a 11.34 u 0.01 - 0.01 0 - 0 N/A - N/A U1 = good good poor U1 U1 x FV N/A genuine genuine 500 a 31.25
SK PAN 934.09 24.36 - > N/A N/A 0.05 estimate c 88.66 - > 0.03 - 0.03 0.01 - 0.01 0.01 - 0.01 U1 u poor good good FV U1 - U1 - N/A N/A 1100 b 68.75
RO STE 1300 100 = N/A N/A 1000 interval b 100 = 400 - 900 N/A - 50 N/A - 50 FV = good good good FV FV = FV N/A noChange noChange 1000 b 100
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 42395.20 2XA 201.78 226.03 213.90 2XA - | - | 138.11 - | - | 19.34 - | - | 62.21 2XA 2XA MTX = U1 = nc nc U1 D

02/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 ATL 187353.25 2XA 187353.25 471.32 690.24 561.81 1 = 471.31 - | - | 106.89 - | - | 335.95 - | - | 157.83 2XA 2XA MTX - U2 - nc nc U2 C

03/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 BLS 1500 0EQ + ≈ 1500 400 400 400 0EQ = ≈ 400 100.00 | 350.00 | 225.00 0 | 0 | 0.000 0 | 50 | 25.00 0EQ = good 0EQ MTX = U1 = nong nc U1 A=

03/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 BOR 129647 0EQ = 129647 600.10 638.20 619.15 2XA - | - | 220.31 - | - | 97.45 - | - | 301.40 2XA - 2XA MTX = U1 = nc nc U1 D

01/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 CON 341011 2GD 2GD - | - | - - | - | - - | - | - 2GD 2GD MTX - U2 - nc nc U2 C

01/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 MED 76424 2XA 191.62 229.73 210.68 2XA - | - | 92.87 - | - | 131.24 - | - | 11.78 2XA 2XA MTX - U1 = nong gen U1 C

02/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 PAN 3834.09 1 x 3834.09 .05 1 - 0.05 - | - | 0.03 - | - | 0.01 - | - | 0.01 1 x 2GD MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 STE 1300 0MS = ≈ 1300 1000 1000 1000 0MS = ≈ 1000 - | - | 650.0 - | - | 25.0 - | - | 25.0 0MS = good good good 0MS MTX = XX x nong nong XX A=

02/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
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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.