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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, 3150 Natural eutrophic lakes with Magnopotamion or Hydrocharition - type vegetation, 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 100
0.05 0.07 N/A
0.60 N/A 0.10
N/A N/A 0.53
N/A N/A 2
0.40 N/A 1.60
29.85 5.24 0.01
N/A 0.10 N/A
400 N/A N/A
13.65 1.35 N/A
1.05 0.05 N/A
0.71 0.09 0.11
0.15 3.73 12.64
41.59 32.42 19.64
4.40 28.70 22.10
0.77 0.63 4.42
145 130.50 84.50
5 229.50 34.50
10.50 18.40 9.10
6.20 234.01 129.74
0.22 3.79 39.93
600 N/A N/A
300 9 4
121 383 52
N/A N/A 52.10
259.93 47.26 N/A
291.20 268.80 560
N/A N/A 200
N/A N/A 14.30
24.57 111.02 9.53
41.81 13.78 9.08
468 266.12 183.53
33.70 58 183.80
795 53 8.50
36.50 N/A 9
30.79 3.64 0.12
1.08 0.44 N/A
2047.50 2352.50 N/A
2700 50 50
6.92 6.38 13.50
N/A N/A 3.50
0.01 N/A N/A
0 N/A N/A
36.15 9.34 20.77
N/A N/A 50
84.02 N/A 9.33
2.50 N/A 13.13
166.33 23.12 6.67
N/A N/A N/A
2.52 0.82 0.04
101.50 36.25 7.25
1400 50 50
0.61 0.29 4.65
2050 50 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 9700 11.20 x x N/A N/A 100 estimate c 14.10 x x N/A - N/A N/A - N/A 100 - 100 XX x unk unk unk XX XX XX N/A noChange noChange 7700 b 16.11
BG ALP 9300 10.74 = 9300 N/A N/A 0.12 minimum b 0.02 = 0.12 0.05 - 0.05 0.07 - 0.07 N/A - N/A U1 - poor poor poor U1 U1 = U1 = method method 700 b 1.46
DE ALP 2341 2.70 = 0.70 0.71 0.70 estimate a 0.10 = 0.60 - 0.61 N/A - N/A 0.10 - 0.10 FV = good good good FV FV = FV N/A noChange noChange 2100 b 4.39
ES ALP 1800 2.08 = N/A N/A 0.53 estimate b 0.07 = N/A - N/A N/A - N/A 0.53 - 0.53 XX x good good unk FV FV = U2 = method method 1600 b 3.35
FR ALP 10000 11.55 = 1 3 N/A estimate c 0.28 = > N/A - N/A N/A - N/A 1 - 3 U1 x good good poor U1 U1 = U1 - noChange noChange 3400 b 7.11
HR ALP 3500 4.04 = N/A N/A 2 minimum b 0.28 = 0.40 - 0.40 N/A - N/A 1.60 - 1.60 U1 = good good good FV U1 = N/A N/A noChange noChange 2700 b 5.65
IT ALP 36300 41.92 - > 48.95 124.17 N/A estimate b 12.21 - >> 29.85 - 29.85 5.24 - 5.24 0.01 - 0.01 XX = bad bad poor U2 U2 - U2 - method method 19400 b 40.59
PL ALP 3700 4.27 = N/A N/A 0.10 estimate a 0.01 = N/A - N/A 0.10 - 0.10 N/A - N/A U1 = good good poor U1 U1 = XX N/A knowledge knowledge 1400 b 2.93
RO ALP 700 0.81 = N/A N/A 500 interval b 70.52 = 300 - 500 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 400 b 0.84
SE ALP 300 0.35 = 300 N/A N/A 15 estimate b 2.12 = 15 13.65 - 13.65 1.35 - 1.35 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 300 b 0.63
SI ALP 1499 1.73 = N/A N/A 1.10 minimum b 0.16 = 1 - 1.10 N/A - 0.10 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 600 b 1.26
SK ALP 7461.59 8.62 = N/A N/A 0.91 estimate c 0.13 = 0.71 - 0.71 0.09 - 0.09 0.11 - 0.11 FV u good good good FV FV = FV N/A N/A knowledge 7500 b 15.69
BE ATL 19800 5.42 - > 7.65 16.90 12.30 estimate b 1.19 = >> 0.01 - 0.30 3.58 - 3.87 12.64 - 12.64 U2 u poor poor bad U2 U2 - U2 = noChange knowledge 12100 b 4.53
DE ATL 60201 16.49 + > 92.45 94.86 93.65 estimate b 9.05 x 111.88 41.59 - 41.59 32.42 - 32.42 19.64 - 19.64 U2 x poor unk bad U2 U2 x U2 x noChange noChange 42600 b 15.94
DK ATL 13500 3.70 = N/A N/A 55.10 estimate b 5.32 u 4.40 - 4.40 28.70 - 28.70 22.10 - 22.10 U2 u good good bad U2 U2 x U2 = N/A N/A 11200 b 4.19
ES ATL 7900 2.16 = N/A N/A 5.82 minimum b 0.56 = x 0.77 - 0.77 0.63 - 0.63 4.42 - 4.42 U1 x good good unk FV U1 = U1 - noChange knowledge 6900 b 2.58
FR ATL 95900 26.27 = 108 275 N/A minimum d 18.50 x x 60 - 230 46 - 215 1 - 168 FV x good good unk FV FV x FV N/A method noInfo 77400 b 28.96
IE ATL 11100 3.04 = 11100 144 394 N/A estimate c 25.98 = 144 5 - 5 126 - 333 13 - 56 U1 = good good poor U1 U1 = U1 = noChange noChange 8700 c 3.25
NL ATL 10400 2.85 = N/A N/A 38 estimate a 3.67 = > 2.80 - 18.20 10.70 - 26.10 9.10 - 9.10 U1 - good poor bad U2 U2 - U1 + genuine genuine 8500 a 3.18
UK ATL 146244.50 40.06 = 146244.50 N/A N/A 369.95 minimum a 35.73 = 6.20 - N/A 234.01 - N/A 129.74 - N/A U2 - good good bad U2 U2 - U2 + noChange genuine 99900 a 37.37
BG BLS 8800 88.89 = 8800 N/A N/A 43.94 minimum b 5.91 = 43.94 0.22 - 0.22 3.79 - 3.79 39.93 - 39.93 XX x poor poor poor U1 U1 = U1 = noChange noChange 3600 b 81.82
RO BLS 1100 11.11 = N/A N/A 700 interval b 94.09 = 500 - 700 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 800 b 18.18
EE BOR 17600 7.18 = N/A N/A 313 estimate a 11.89 + 300 - 300 9 - 9 4 - 4 FV + good good good FV FV + FV N/A knowledge knowledge 8200 a 8.20
FI BOR 44000 17.95 = N/A N/A 556 estimate b 21.13 = 121 - 121 383 - 383 52 - 52 U2 = good good bad U2 U2 = U2 + noChange genuine 20500 b 20.50
LT BOR 64787 26.42 = 64787 N/A N/A 52.10 estimate a 1.98 = N/A - N/A N/A - N/A 52.10 - 52.10 XX u good good unk FV FV = U1 = knowledge knowledge 13300 a 13.30
LV BOR 59390 24.22 = x 472.60 708.90 N/A estimate c 22.45 = x 207.94 - 311.91 37.80 - 56.71 N/A - N/A U1 = good good poor U1 U1 = U2 - knowledge knowledge 41000 c 41
SE BOR 59400 24.23 = 59400 N/A N/A 1120 estimate b 42.56 = 1120 291.20 - 291.20 268.80 - 268.80 560 - 560 U1 = good good poor U1 U1 = U1 = noChange noChange 17000 b 17
AT CON 12800 1.57 x x N/A N/A 200 estimate c 1.89 x x N/A - N/A N/A - N/A 200 - 200 XX x unk unk unk XX XX XX N/A noChange noChange 9200 b 1.59
BE CON 14699 1.80 = x N/A N/A 14.30 estimate b 0.14 x x N/A - N/A N/A - N/A 14.30 - 14.30 U1 x good good poor U1 U1 x U1 = N/A N/A 8500 b 1.47
BG CON 81100 9.94 = 81100 N/A N/A 145.11 minimum b 1.37 = 145.11 24.57 - 24.57 111.02 - 111.02 9.53 - 9.53 U1 - poor poor poor U1 U1 = U1 = method method 52100 b 9.02
CZ CON 82300 10.09 = N/A N/A 64.67 estimate a 0.61 = 41.81 - 41.81 13.78 - 13.78 9.08 - 9.08 U2 = good good poor U1 U2 = U2 + noChange noChange 67800 a 11.74
DE CON 300325 36.83 = 752.59 1075.78 917.65 estimate b 8.69 = > 333.11 - 602.89 186.28 - 345.95 128.47 - 238.59 U2 - good poor bad U2 U2 - U1 = genuine genuine 230400 b 39.89
DK CON 29200 3.58 = N/A N/A 275.60 estimate b 2.61 u 33.70 - 33.70 58 - 58 183.80 - 183.80 U1 u good good poor U1 U1 x U2 + N/A N/A 29000 b 5.02
FR CON 78600 9.64 = 105 1600 N/A estimate c 8.08 + 90 - 1500 6 - 100 1 - 16 U1 u good good poor U1 U1 = U1 - noChange noChange 69600 b 12.05
HR CON 18500 2.27 = N/A N/A 45.50 minimum b 0.43 = 27.50 - 45.50 N/A - N/A N/A - 18 FV = good good good FV FV = N/A N/A noChange noChange 17600 b 3.05
IT CON 71700 8.79 - >> 73.92 141.53 N/A estimate b 1.02 - >> 30.79 - 30.79 3.64 - 3.64 0.12 - 0.12 XX - bad bad unk U2 U2 - U2 - knowledge knowledge 36900 b 6.39
LU CON 3400 0.42 = 0.94 2.13 N/A estimate b 0.01 = > 0.61 - 1.56 0.32 - 0.56 N/A - N/A U2 + good poor poor U1 U2 + U2 = genuine genuine 2400 a 0.42
PL CON 105400 12.92 = N/A N/A 4400 estimate c 41.69 = 1337 - 2758 1642 - 3063 N/A - N/A U2 = good good bad U2 U2 = U1 - method method 46200 b 8
RO CON 5600 0.69 = N/A N/A 3500 interval b 33.16 = 2100 - 3300 N/A - 100 N/A - 100 FV = good good good FV FV = FV N/A noChange noChange 2700 b 0.47
SE CON 6300 0.77 = 6300 N/A N/A 27 estimate b 0.26 = 27 6.92 - 6.92 6.38 - 6.38 13.50 - 13.50 U1 = good good poor U1 U1 = U1 = noChange noChange 1400 b 0.24
SI CON 5578 0.68 = N/A N/A 3.50 minimum a 0.03 = > N/A - N/A N/A - N/A 3.50 - 3.50 U1 x good poor bad U2 U2 = U2 - noChange genuine 3800 b 0.66
ES MAC 20 100 x N/A N/A 0.01 estimate a 100 = 0.01 - 0.01 N/A - N/A N/A - N/A XX x good unk unk XX XX XX N/A noChange noChange 800 b 100
CY MED 81 0.04 = N/A N/A 0 estimate b 0 = 0 - 0 N/A - N/A N/A - N/A U1 = good unk poor U1 U1 = FV N/A knowledge knowledge 300 b 0.19
ES MED 86700 46.02 = x N/A N/A 59.97 minimum b 14.24 - > 29.86 - 42.43 9.34 - 9.34 20.77 - 20.77 U1 - unk unk poor XX U2 - U1 = knowledge knowledge 84300 b 53.49
FR MED 9500 5.04 = x 23 77 N/A estimate c 11.87 = x N/A - N/A N/A - N/A 23 - 77 U1 u good poor poor U2 U2 = U2 - noChange noChange 7500 b 4.76
GR MED 3529 1.87 = N/A N/A 93.35 minimum b 22.16 = 84.02 - 84.02 N/A - N/A 9.33 - 9.33 FV = good good good FV FV = FV N/A noChange noChange 15000 b 9.52
HR MED 10000 5.31 = N/A N/A 15.63 minimum b 3.71 = 2.50 - 2.50 N/A - N/A 13.13 - 13.13 U1 = good good good FV U1 = N/A N/A noChange noChange 9300 b 5.90
IT MED 49000 26.01 + >> 195.98 208.63 N/A estimate b 48.02 - > 166.33 - 166.33 23.12 - 23.12 6.67 - 6.67 U1 - bad poor poor U2 U2 - U1 - knowledge knowledge 27600 b 17.51
PT MED 29600 15.71 = N/A N/A N/A N/A 0 = N/A - N/A N/A - N/A N/A - N/A U1 - good good poor U1 U1 - U1 = noChange knowledge 13600 c 8.63
CZ PAN 5500 16.43 = N/A N/A 3.38 estimate a 0.16 = 2.52 - 2.52 0.82 - 0.82 0.04 - 0.04 U2 = good good poor U1 U2 = U2 + noChange noChange 2600 a 8.55
HU PAN 19380 57.88 = 130 160 N/A estimate b 6.73 = > 91 - 112 32.50 - 40 6.50 - 8 U1 - poor poor poor U1 U1 - U1 = noChange method 20100 b 66.12
RO PAN 3600 10.75 = N/A N/A 2000 interval b 92.85 = 1000 - 1800 N/A - 100 N/A - 100 FV = good good good FV FV = FV N/A noChange noChange 2000 b 6.58
SK PAN 5001.27 14.94 = N/A N/A 5.55 estimate c 0.26 = 0.61 - 0.61 0.29 - 0.29 4.65 - 4.65 FV u good good good FV FV = U1 = knowledge N/A 5700 b 18.75
RO STE 3900 100 = N/A N/A 2500 interval b 100 = 1700 - 2400 N/A - 100 N/A - N/A FV = good good good FV FV = FV N/A knowledge knowledge 2000 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 ATL 365045.50 1 = 365045.5 820.97 1249.63 1035.32 2XA - | - | 210.52 - | - | 560.88 - | - | 251.77 2XA 2XA MTX = U2 = nc nc U2 D

03/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 BLS 9900 0EQ = ≈ 9900 743.94 743.94 743.94 0EQ = ≈ 743.94 - | - | - - | - | - - | - | - 2GD 2GD MTX = U1 = nc nc U1 D

01/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 BOR 245177 0EQ = ≈ 245177 2513.7 2750 2631.85 0EQ = ≈ 2631.85 - | - | - - | - | - - | - | - 2GD 2GD MTX = U2 = nong nc U2 D

02/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 CON 2GD 2GD - | - | - - | - | - - | - | - 2GD 2GD MTX = U1 = gen nc U1 C

03/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 MAC 0MS 0MS - | - | - - | - | - - | - | - 0MS 0MS MTX x XX x nc nc XX D

01/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 MED 188410 2XA 387.93 454.58 421.26 2XA - | - | 289 - | - | 32.46 - | - | 99.9 2XA 2XA MTX - U1 = nong nong U1 C

01/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 PAN 33481.27 0EQ = 33481.27 2GD - | - | - - | - | - - | - | - 2GD = 2GD MTX = U1 = nc nc U1 D

01/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 ALP 86601.59 2GD 2GD - | - | - - | - | - - | - | - 2GD 2GD MTX = U2 - nc nong U2 D

03/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 STE 3900 0MS = 3900 2500 0MS = 2500 - | - | 2050 - | - | 50 - | - | 0 0MS = 0MS MTX = FV = nc nc FV A=

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.