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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, 3160 Natural dystrophic lakes and ponds, 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 5
0.15 0.01 0.09
0.04 0 N/A
N/A N/A 0.01
27 N/A 31
0.75 0.25 N/A
0.04 0 0.03
0.01 0.01 N/A
147.25 7.75 N/A
0.02 N/A N/A
0.02 0 N/A
0.04 1.57 0.01
14.15 3.56 N/A
0.80 0.80 1.30
0.35 0.71 12.47
2 1 2
0.03 1.15 30.32
N/A N/A 7
N/A N/A N/A
9.65 12.47 0.61
15 2 12
11800 2200 2900
N/A N/A 17.60
16.75 2.29 N/A
1373.70 72.30 N/A
N/A N/A 1
N/A N/A 0.79
0.04 0.01 N/A
0.25 0 0.01
5.28 1.87 2.09
2 2.60 10.90
4.70 3.05 4.25
0.04 0 0.01
30.05 6.30 0.66
1075 25 N/A
6.65 0.35 N/A
1.45 0.18 N/A
4.20 3.63 0.52
N/A N/A N/A
8.75 3 0.75
550 N/A N/A
N/A N/A 0.10
675 N/A 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 7100 5.42 = N/A N/A 5 minimum c 2.27 x > N/A - N/A N/A - N/A 5 - 5 XX x good poor poor U1 U1 x U1 = noChange knowledge 6200 c 6.81
BG ALP 3800 2.90 = 3800 N/A N/A 0.25 minimum b 0.11 = 0.25 0.15 - 0.15 0.01 - 0.01 0.09 - 0.09 U1 = poor poor poor U1 U1 = U1 = method method 1700 b 1.87
DE ALP 2388 1.82 = 2388 0.04 0.05 0.04 estimate a 0.02 = 0.04 0.04 - 0.04 0 - 0 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1600 b 1.76
ES ALP 200 0.15 = N/A N/A 0.01 estimate a 0 x N/A - N/A N/A - N/A 0.01 - 0.01 XX x good Unk Unk XX XX FV N/A method noChange 200 b 0.22
FI ALP 20600 15.72 = N/A N/A 59 estimate b 26.73 = 27 - 27 N/A - N/A 31 - 31 FV = good good unk FV FV = FV N/A noChange noChange 17600 b 19.34
FR ALP 9700 7.40 = 1 1 N/A estimate c 0.45 = 0.50 - 1 N/A - 0.50 N/A - N/A FV = good good unk FV FV = U1 = knowledge noChange 2200 b 2.42
IT ALP 5200 3.97 - >> 0.13 0.53 N/A estimate b 0.15 - >> 0.04 - 0.04 0 - 0 0.03 - 0.03 U2 = bad bad unk U2 U2 - U2 - knowledge knowledge 3000 b 3.30
PL ALP 400 0.31 = N/A N/A 0.01 estimate a 0 = 0.01 - 0.01 0.01 - 0.01 N/A - N/A U2 = poor poor poor U1 U2 = U1 = method noChange 200 b 0.22
SE ALP 79200 60.42 = 79200 N/A N/A 155 estimate b 70.23 = 155 147.25 - 147.25 7.75 - 7.75 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 55900 b 61.43
SI ALP 358 0.27 = N/A N/A 0.02 estimate a 0.01 = 0.02 - 0.02 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 400 a 0.44
SK ALP 2126.68 1.62 = N/A N/A 0.02 estimate b 0.01 - > 0.02 - 0.02 0 - 0 N/A - N/A FV u unk good good FV U1 x U1 = N/A N/A 2000 b 2.20
BE ATL 4300 2.99 + > 1.61 1.64 1.62 estimate a 1.60 + > N/A - 0.07 1.53 - 1.61 0.01 - 0.01 U2 = poor poor poor U1 U2 + U2 = noChange knowledge 3100 b 3.74
DE ATL 31342 21.80 + 17.51 17.91 17.71 estimate b 17.53 = 13.08 - 15.22 2.49 - 4.63 N/A - N/A U1 = good good poor U1 U1 + U1 = noChange method 20000 b 24.13
DK ATL 13500 9.39 = N/A N/A 2.90 estimate b 2.87 u 0.80 - 0.80 0.80 - 0.80 1.30 - 1.30 U2 u good good bad U2 U2 x U1 = N/A N/A 5500 b 6.63
ES ATL 5200 3.62 = N/A N/A 13.53 estimate a 13.40 = x 0.35 - 0.35 0.71 - 0.71 12.47 - 12.47 XX x good good unk FV XX U1 x knowledge noChange 4800 b 5.79
FR ATL 13900 9.67 x > 3 5 N/A estimate c 3.96 - > 1 - 3 1 - 1 1 - 3 U1 - unk bad bad U2 U2 - U2 - noChange noChange 5100 b 6.15
IE ATL 18700 13.01 = 18700 26.50 36.50 N/A estimate b 31.19 = 26.50 0.03 - 0.03 1.15 - 1.15 25.32 - 35.32 U1 x good good poor U1 U1 = U1 - noChange method 13100 b 15.80
NL ATL 6300 4.38 = N/A N/A 7 estimate a 6.93 = > N/A - N/A N/A - N/A 7 - 7 U1 + good poor poor U1 U1 + U1 x noChange genuine 5500 a 6.63
PT ATL 300 0.21 - x N/A N/A N/A d 0 - > N/A - N/A N/A - N/A N/A - N/A U2 - poor bad bad U2 U2 - U1 = genuine genuine 200 c 0.24
UK ATL 50246.28 34.94 = 50246.28 N/A N/A 22.74 minimum c 22.52 = > 9.65 - N/A 12.47 - N/A 0.61 - N/A U2 = good poor bad U2 U2 = FV N/A genuine noChange 25600 b 30.88
EE BOR 32400 3.77 = N/A N/A 29 estimate a 0.16 = 15 - 15 2 - 2 12 - 12 XX = good good good FV FV = FV N/A noChange noChange 15900 a 2.30
FI BOR 345900 40.21 = N/A N/A 16900 estimate b 91.79 = 11800 - 11800 2200 - 2200 2900 - 2900 U1 = good good poor U1 U1 = U1 + noChange genuine 310500 b 44.96
LT BOR 64787 7.53 = 64787 N/A N/A 17.60 estimate a 0.10 u N/A - N/A N/A - N/A 17.60 - 17.60 FV u good good unk FV FV x FV N/A N/A N/A 13500 a 1.95
LV BOR 35202 4.09 = x 15.20 22.80 N/A estimate c 0.10 = x 13.40 - 20.10 1.83 - 2.75 N/A - N/A FV x good good good FV FV = U1 - knowledge knowledge 10100 c 1.46
SE BOR 381900 44.40 = 381900 N/A N/A 1446 estimate b 7.85 = 1446 1373.70 - 1373.70 72.30 - 72.30 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 340600 b 49.32
AT CON 1200 0.71 = > N/A N/A 1 minimum c 0.08 = >> N/A - N/A N/A - N/A 1 - 1 XX x poor bad poor U2 U2 = U2 = noChange noChange 800 c 0.92
BE CON 4300 2.56 + 0.58 1 0.58 estimate b 0.05 + x N/A - N/A N/A - N/A 0.58 - 1 U1 + good poor poor U1 U1 + U1 + N/A genuine 2500 b 2.88
BG CON 1400 0.83 u 1400 N/A N/A 0.05 minimum b 0 = 0.05 0.04 - 0.04 0.01 - 0.01 N/A - N/A U1 = poor poor poor U1 U1 = FV N/A method method 300 b 0.35
CZ CON 10900 6.49 = N/A N/A 0.26 estimate a 0.02 = > 0.25 - 0.25 0 - 0 0.01 - 0.01 U2 - good poor poor U1 U2 - U2 + noChange noChange 5300 a 6.10
DE CON 79015 47.06 = > 8.37 11.25 9.80 estimate b 0.83 - > 5.06 - 5.49 1.77 - 1.97 0.73 - 3.45 U1 - poor poor poor U1 U1 - U1 = noChange genuine 37900 b 43.61
DK CON 29200 17.39 = N/A N/A 15.60 estimate b 1.32 u 2 - 2 2.60 - 2.60 10.90 - 10.90 U1 u good good poor U1 U1 x U2 = N/A N/A 11100 b 12.77
FR CON 5900 3.51 = > N/A N/A 6 estimate c 0.51 - >> 3.40 - 6 0.10 - 6 2.50 - 6 U1 - poor bad bad U2 U2 - U2 = noChange noChange 5200 b 5.98
IT CON 1400 0.83 x x N/A N/A 2.09 estimate b 0.18 x x 0.04 - 0.04 0 - 0 0.01 - 0.01 XX x unk unk unk XX XX N/A N/A noInfo noInfo 900 b 1.04
PL CON 10000 5.96 = N/A N/A 37 estimate b 3.14 = 27.10 - 33 3.30 - 9.30 0.66 - 0.66 FV = good good good FV FV = FV N/A noChange noChange 5300 b 6.10
RO CON 1200 0.71 = 1000 1200 N/A interval b 93.27 + 1000 - 1150 N/A - 50 N/A - N/A FV = good good good FV FV = FV N/A knowledge knowledge 1000 b 1.15
SE CON 23400 13.94 = 23400 N/A N/A 7 estimate b 0.59 = 7 6.65 - 6.65 0.35 - 0.35 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 16600 b 19.10
PT MAC 2400 100 = 2 3 2.13 estimate a 100 = 1 - 1.90 0.15 - 0.22 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1700 c 100
ES MED 9300 65.49 - x N/A N/A 8.31 minimum b 100 - x 4.16 - 4.24 3.63 - 3.63 0.52 - 0.52 U2 - poor unk poor U1 U2 - U1 x knowledge knowledge 8500 b 81.73
PT MED 4900 34.51 = x N/A N/A N/A d 0 - > N/A - N/A N/A - N/A N/A - N/A U2 - poor bad bad U2 U2 - U1 = genuine genuine 1900 c 18.27
HU PAN 11346 89.52 = 10 15 N/A estimate b 2.04 = > 7 - 10.50 2.50 - 3.50 0.50 - 1 U1 = good poor poor U1 U1 = U1 = noChange noChange 12300 b 89.13
RO PAN 600 4.73 = N/A N/A 600 interval b 97.94 + 500 - 600 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 600 b 4.35
SK PAN 727.78 5.74 - N/A N/A 0.10 estimate c 0.02 u N/A - N/A N/A - N/A 0.10 - 0.10 U1 u poor unk unk XX U1 x U1 = N/A N/A 900 b 6.52
RO STE 1400 100 = N/A N/A 900 interval b 100 + 500 - 850 N/A - N/A N/A - 50 FV = good good good FV FV = FV N/A noChange noChange 900 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 143788.28 1 = 143788.28 94.79 107.22 100.99 2XA 24.91 | 19.47 | 22.19 20.15 | 9.90 | 15.02 47.71 | 59.1 | 53.40 2XA 2XA MTX = U1 - gen nong U2 C

03/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 BOR 860189 0EQ = ≈ 860189 18407.80 18415.40 18411.60 0EQ = ≈ 18411.6 - | - | 13205.45 - | - | 2276.59 - | - | 2929.60 1 = 2XA MTX = U1 + nc gen U1 D

01/20

EEA-ETC/BD

Institution:

Member State:

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

02/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 MAC 2400 0MS = ≈ 2400 2 3 2.13 0MS = ≈ 2.13 - | - | 1.45 - | - | 0.19 - | - | 0 0MS = good good good 0MS MTX = FV = nc nc FV A=

01/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 MED 14200 0EQ - x 2GD - | - | - - | - | - - | - | - 2GD 2GD MTX - U1 x nong nong U1 C

01/20

EEA-ETC/BD

Institution:

Member State:

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

02/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 ALP 131072.68 1 = ≈ 131072.68 220.48 220.89 220.69 1 = 220.69 - | - | 175.28 - | - | 8.02 - | - | 36.12 2XA 2XA MTX = FV = nc nc FV A=

02/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 STE 1400 0MS = ≈ 1400 900 0MS + ≈ 900 - | - | 675.0 - | - | 0.0 - | - | 25.0 0MS = 0MS MTX = FV N/A nong nc FV A=

03/20

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.