Article 17 web tool

Log in

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, 3130 Oligotrophic to mesotrophic standing waters with vegetation of the Littorelletea uniflorae and/or of the Isoëto-Nanojuncetea, 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 50
2.91 0.07 0.07
0.26 N/A 0.01
7.50 3.50 5.50
N/A N/A 8.75
5.44 0.08 0.05
1820 180 N/A
0.01 0.01 0.23
1.38 7.89 0.21
3.32 1.34 0.52
2.70 5.30 2.40
N/A N/A 1.44
165.50 134.50 131.55
34.40 180.75 9.85
2.35 2.30 N/A
N/A N/A N/A
97.36 80.11 31.15
450 25 25
N/A 0.20 424.80
N/A N/A N/A
N/A N/A 3.60
31.40 22.30 N/A
1896.80 474.20 2371
N/A N/A 14
N/A N/A 2.97
N/A 0.25 N/A
5.33 0.62 2.12
32.94 7.26 1.58
0.70 0.70 0.90
14.70 9 1.80
60 N/A 121
4.38 0.16 0.02
0 N/A N/A
1.30 3.80 3.10
1100 50 50
16.90 15.60 32.50
N/A N/A 2.40
25 35 N/A
N/A N/A 5.50
13.12 N/A 1.46
N/A N/A 21.63
6.16 0.68 2.39
N/A N/A N/A
0.80 0 N/A
4.72 5.78 N/A
1000 50 N/A
0.07 0.03 0.14
1550 N/A 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 1600 1.30 = > N/A N/A 25 estimate b 1.19 x x N/A - N/A N/A - N/A 50 - 50 U1 x poor poor poor U1 U1 x U1 x method method 1300 c 2.28
BG ALP 2400 1.96 = 2400 N/A N/A 3.05 minimum b 0.15 = 3.05 2.91 - 2.91 0.07 - 0.07 0.07 - 0.07 FV = good good good FV FV = U1 = method method 1300 b 2.28
DE ALP 258 0.21 = 258 0.27 0.27 0.27 estimate a 0.01 = 0.27 0.25 - 0.27 N/A - N/A N/A - 0.02 FV = good good good FV FV = FV N/A noChange noChange 400 b 0.70
FR ALP 14900 12.14 u 1 10 N/A estimate c 0.26 = 5 - 10 2 - 5 1 - 10 U1 u poor poor poor U1 U1 x U2 - noChange noChange 11800 b 20.74
HR ALP 800 0.65 x > N/A N/A 8.75 minimum b 0.42 x > N/A - N/A N/A - N/A 8.75 - 8.75 XX u unk unk unk XX U1 x N/A N/A noChange noChange 700 b 1.23
IT ALP 39700 32.35 - > 11.26 93.51 N/A estimate b 2.50 - >> 5.44 - 5.44 0.08 - 0.08 0.05 - 0.05 U1 + unk bad poor U2 U2 - U2 x knowledge knowledge 23500 b 41.30
SE ALP 61600 50.20 = 61600 N/A N/A 2000 estimate b 95.46 = 2000 1820 - 1820 180 - 180 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 16500 b 29
SK ALP 1451.75 1.18 = N/A N/A 0.24 estimate b 0.01 = 0.01 - 0.01 0.01 - 0.01 0.23 - 0.23 U1 u good poor poor U1 U1 = FV N/A knowledge N/A 1400 b 2.46
BE ATL 10400 3.39 + 9.37 9.75 9.48 estimate a 1.23 + > 0.68 - 2.07 7.20 - 8.58 0.21 - 0.21 U2 x good good bad U2 U2 = U2 = noChange noChange 6600 a 3.93
DE ATL 19031 6.20 = >> 5.20 5.59 5.35 estimate b 0.69 x >> 3.32 - 3.32 1.34 - 1.34 0.52 - 0.52 U2 x unk bad bad U2 U2 x U2 x noChange noChange 12900 b 7.68
DK ATL 13500 4.40 = N/A N/A 10.40 estimate b 1.35 u 2.70 - 2.70 5.30 - 5.30 2.40 - 2.40 U2 u good good bad U2 U2 x U1 + N/A N/A 6700 b 3.99
ES ATL 3600 1.17 = N/A N/A 1.44 estimate a 0.19 = N/A - N/A N/A - N/A 1.43 - 1.44 U1 x good good unk FV U1 = N/A N/A knowledge knowledge 3500 b 2.08
FR ATL 52200 17.01 = 60 300 N/A minimum d 23.38 x x 34 - 297 3 - 266 0.10 - 263 U1 x good unk poor U1 U1 x U1 x method method 42700 b 25.42
IE ATL 25600 8.34 = 25600 78 372 N/A estimate b 29.23 = 78 12 - 56.80 63 - 298.50 3 - 16.70 U1 - good good poor U1 U1 - U1 = noChange knowledge 16700 b 9.94
NL ATL 10900 3.55 = N/A N/A 4.20 estimate a 0.55 = > 0.80 - 3.90 1.20 - 3.40 N/A - N/A U2 + good poor bad U2 U2 + U2 = noChange genuine 8600 a 5.12
PT ATL 1200 0.39 = 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 = FV N/A noChange knowledge 1100 c 0.65
UK ATL 170429.35 55.54 = 170429.35 N/A N/A 333.91 estimate b 43.38 = 97.36 - N/A 80.11 - N/A 31.15 - N/A U2 u good good bad U2 U2 = U1 + genuine noInfo 69200 b 41.19
RO BLS 1100 100 + N/A N/A 800 interval b 100 + 200 - 700 N/A - 50 N/A - 50 FV = good good good FV FV = FV N/A noChange noChange 800 b 100
EE BOR 10800 3.90 = N/A N/A 425 estimate b 8.14 - N/A - N/A 0.20 - 0.20 424.80 - 424.80 U1 - good poor poor XX U1 - U1 - genuine knowledge 4500 a 8.17
FI BOR 500 0.18 = N/A N/A N/A d 0 = N/ N/A - N/A N/A - N/A N/A - N/A U1 = good good poor U1 U1 = U1 + noChange genuine 500 c 0.91
LT BOR 64787 23.39 = 64787 N/A N/A 3.60 estimate a 0.07 u N/A - N/A N/A - N/A 3.60 - 3.60 U1 u good poor unk U1 U1 x U1 - knowledge knowledge 1600 a 2.90
LV BOR 6300 2.27 - N/A N/A 53.70 estimate b 1.03 - 31.40 - 31.40 22.30 - 22.30 N/A - N/A U2 - poor poor bad U2 U2 - U2 - genuine genuine 2900 a 5.26
SE BOR 194600 70.26 = 194600 N/A N/A 4742 estimate b 90.77 = 4742 1896.80 - 1896.80 474.20 - 474.20 2371 - 2371 U1 = good good poor U1 U1 = U1 - noChange knowledge 45600 b 82.76
AT CON 3300 1.20 = > N/A N/A 14 estimate c 0.73 x x N/A - N/A N/A - N/A 14 - 14 U1 x poor poor poor U1 U2 x U2 x noChange noChange 3000 c 1.80
BE CON 12099 4.39 x x N/A N/A 2.97 estimate c 0.16 x x N/A - N/A N/A - N/A 2.97 - 2.97 XX x poor poor bad U2 U2 x U2 = N/A knowledge 6400 a 3.83
BG CON 700 0.25 = 700 N/A N/A 0.25 minimum b 0.01 - 0.25 N/A - N/A 0.25 - 0.25 N/A - N/A U1 - poor poor poor U1 U1 - FV N/A method method 1400 b 0.84
CZ CON 61200 22.22 u N/A N/A 8.07 estimate a 0.42 = 5.33 - 5.33 0.62 - 0.62 2.12 - 2.12 U1 = good good poor U1 U1 = U1 + noChange noChange 30000 a 17.95
DE CON 58649 21.30 = 46.02 46.88 46.68 estimate a 2.44 - > 31.99 - 33.88 6.87 - 7.65 0.92 - 2.25 U1 - good poor poor U1 U1 - U1 = noChange genuine 36600 b 21.90
DK CON 17743 6.44 u N/A N/A 2.30 estimate b 0.12 u 0.70 - 0.70 0.70 - 0.70 0.90 - 0.90 U2 u good good bad U2 U2 x U2 + N/A N/A 7600 b 4.55
FR CON 35100 12.75 = N/A N/A 25 minimum c 1.31 - >> 14.70 - 14.70 9 - 9 1.80 - 1.80 U2 - good poor bad U2 U2 - U2 - noChange noChange 32500 b 19.45
HR CON 11500 4.18 = N/A N/A 181 minimum b 9.47 = 60 - 60 N/A - N/A 121 - 121 XX = good good unk FV FV = N/A N/A noChange noChange 10900 b 6.52
IT CON 45700 16.60 - >> 12.87 96.75 N/A estimate b 2.87 - >> 4.38 - 4.38 0.16 - 0.16 0.02 - 0.02 U1 - bad bad poor U2 U2 - U2 - knowledge knowledge 23400 b 14
LU CON 200 0.07 = >> N/A N/A 0 estimate a 0 = >> N/A - 0 N/A - N/A N/A - N/A FV u bad bad good U2 U2 = U2 = noChange noChange 200 a 0.12
PL CON 18300 6.65 x x N/A N/A 8.23 estimate c 0.43 x x 0.60 - 2 3.10 - 4.50 3.10 - 3.10 XX x unk unk unk XX XX XX N/A noChange noChange 10500 c 6.28
RO CON 1700 0.62 = N/A N/A 1500 interval b 78.50 = 900 - 1300 N/A - 100 N/A - 100 FV = good good good FV FV = FV N/A noChange noChange 900 b 0.54
SE CON 7300 2.65 = 7300 N/A N/A 65 estimate b 3.40 = 65 16.90 - 16.90 15.60 - 15.60 32.50 - 32.50 U1 - good good poor U1 U1 - U1 - noChange noChange 2400 b 1.44
SI CON 1890 0.69 = N/A N/A 2.40 estimate b 0.13 - >> N/A - N/A N/A - N/A 2.40 - 2.40 XX x good unk unk XX U2 x U2 = noChange genuine 1300 a 0.78
PT MAC 2300 100 = 60 70 63 estimate a 100 = 22 - 28 28 - 42 N/A - N/A U1 = good good poor FV U1 = U1 = noChange noChange 1700 c 100
FR MED 6900 10.48 = 5 6 N/A estimate c 9 = x N/A - N/A N/A - N/A 5 - 6 U1 u poor poor poor U2 U2 = U1 = genuine method 4800 b 9.88
GR MED 1616 2.46 = N/A N/A 14.58 estimate b 23.87 = > 13.12 - 13.12 N/A - N/A 1.46 - 1.46 FV = good poor good U1 U1 = U1 = noChange noChange 14800 b 30.45
HR MED 1700 2.58 x > N/A N/A 21.63 minimum b 35.41 u > N/A - N/A N/A - N/A 21.63 - 21.63 XX u unk unk unk XX U1 x N/A N/A noChange noChange 1400 b 2.88
IT MED 21500 32.67 - >> 15.91 22.84 N/A estimate b 31.72 + > 6.16 - 6.16 0.68 - 0.68 2.39 - 2.39 U1 x bad poor poor U2 U2 - XX N/A knowledge knowledge 14300 b 29.42
PT MED 34100 51.81 = N/A N/A N/A d 0 = N/A - N/A N/A - N/A N/A - N/A U1 - good good poor U1 U1 - U1 = genuine genuine 13300 c 27.37
CZ PAN 3400 10.45 u N/A N/A 0.81 estimate a 0.07 = 0.80 - 0.80 0 - 0 N/A - N/A U1 = good good poor U1 U1 = U1 + noChange noChange 700 a 2.23
HU PAN 26584 81.73 = 1 20 N/A estimate b 0.87 = > 0.45 - 9 0.55 - 11 N/A - N/A U2 - good poor bad U2 U2 - U1 = knowledge knowledge 28000 b 89.17
RO PAN 1400 4.30 = N/A N/A 1200 interval b 99.05 = 900 - 1100 N/A - 100 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1200 b 3.82
SK PAN 1141.84 3.51 = > N/A N/A 0.25 estimate c 0.02 x > 0.07 - 0.07 0.03 - 0.03 0.14 - 0.14 FV u good poor poor U1 U1 x U1 = N/A N/A 1500 b 4.78
RO STE 3400 100 = N/A N/A 1700 interval b 100 = 1400 - 1700 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1500 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 BOR 276987 1 = ≈ 276987 5224.30 5224.30 5224.30 1 = ≈ 5224.30 1928.20 | 1928.20 | 1928.20 496.70 | 496.70 | 496.70 2799.40 | 2799.40 | 2799.40 2XA 2XA MTX = U1 - nc nong U1 D

03/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 STE 3400 0MS = ≈ 3400 1700 1700 1700 0MS = ≈ 1700 1400 | 1700 | 1550 - | - | 0 - | - | 0 0MS = good good good 0MS MTX = FV = nc nc FV A=

01/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 CON 275381 2GD 2GD - | - | - - | - | - - | - | - 2GD 2GD MTX - U2 = nc gen U2 C

02/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 MAC 2300 0MS = ≈ 2300 60 70 63 0MS = ≈ 63 25 | 28 | 25 28 | 42 | 35 - | - | 0 0MS = good good poor 0MS MTX = U1 = nc nc U1 D

01/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 ALP 122709.75 1 - > 122709.75 2049.57 2140.82 2095.19 1 = ≈ 2095.19 1833.61 | 1838.62 | 1836.11 182.16 | 185.16 | 185.16 60.09 | 69.11 | 64.60 2XA 2XA MTX = FV = nong nc FV D

02/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 ATL 306860.35 1 = > 306860.35 502.5 1037.3 769.8 1 = > 769.8 150.86 | 365.79 | 258.33 161.15 | 583.12 | 372.14 38.81 | 284.27 | 161.54 2XA x poor poor bad 2XA MTX - U1 + gen nong U1 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 32525.84 2GD 2GD - | - | - - | - | - - | - | - 2GD 2GD MTX - U1 = nong nong U1 C

01/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 BLS 1100 0MS + ≈ 1100 800 0MS + ≈ 800 200 | 700 | 450 0 | 50 | 25 0 | 50 | 25 0MS = good good good 0MS MTX = FV = nc nc FV A=

01/20

EEA-ETC/BD

Institution:

Member State:

EEA-ETC/BD
EU28 MED 65816 2GD - 2GD - | - | - - | - | - - | - | - 2GD 2GD MTX - U1 = gen nong U1 C

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.