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, 3260 Water courses of plain to montane levels with the Ranunculion fluitantis and Callitricho-Batrachion 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 15
0.48 2.58 0.14
0.23 N/A 0.07
N/A N/A 0.20
5 N/A N/A
30 12.50 7.50
3.15 N/A N/A
5.29 7.69 0.01
950 75 75
32.45 0.55 N/A
1.30 0.90 N/A
0.14 0 0.57
0.55 26.65 N/A
12.79 23.84 N/A
14.90 10.30 8.80
2.14 0.41 65.89
346.50 308 545
86.50 39 N/A
N/A N/A 1.20
N/A N/A N/A
N/A N/A N/A
0.78 0.54 0.20
250 N/A 25
N/A N/A 95
N/A N/A N/A
N/A N/A 1081
63.94 23.56 N/A
70 163.30 466.70
N/A N/A 15
43.50 22.87 N/A
8.68 85.20 0.83
31.61 1.92 1.24
94.02 50.76 58.27
8.10 24.10 14.10
56.50 47.50 36
2 N/A 1.80
26.40 1.80 0.80
2.87 1.02 N/A
16.82 5.18 N/A
2000 125 50
3.50 8.20 23.30
9.50 4.30 0.10
10.64 6.63 38.87
N/A N/A 44.50
8.65 N/A 0.96
2.20 N/A N/A
9.20 2.20 0.40
N/A N/A N/A
1.87 0.67 0.17
0.65 0.03 0.07
400 N/A 50
0.02 0 0.41
850 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 4800 2.81 x x N/A N/A 15 estimate c 1.03 x > N/A - N/A N/A - N/A 15 - 15 XX x poor poor poor U1 U1 x U1 x noChange noChange 4300 b 5.26
BG ALP 14400 8.44 u 14400 N/A N/A 3.20 minimum b 0.22 = 3.20 0.48 - 0.48 2.58 - 2.58 0.14 - 0.14 U1 = poor poor poor U1 U1 = U1 = method method 3500 b 4.28
DE ALP 2526 1.48 = 0.20 0.40 0.30 estimate b 0.02 = 0.15 - 0.30 N/A - N/A 0.05 - 0.10 XX = good good unk FV FV = FV N/A noChange noChange 2300 b 2.82
ES ALP 6800 3.98 = N/A N/A 0.20 estimate a 0.01 x N/A - N/A N/A - N/A 0.20 - 0.20 XX x poor poor poor U1 U1 x N/A N/A method method 1200 b 1.47
FI ALP 9100 5.33 = N/A N/A 5 estimate b 0.34 = 5 - 5 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 5400 b 6.61
FR ALP 11400 6.68 = 55 55 N/A estimate c 3.78 = 20 - 40 5 - 20 5 - 10 U1 - good good poor U1 U1 - FV N/A genuine noChange 1900 b 2.33
HR ALP 5900 3.46 = 2.81 3.50 N/A estimate a 0.22 = 2.81 - 3.50 N/A - N/A N/A - N/A FV = good good good FV FV = N/A N/A noChange noChange 4600 a 5.63
IT ALP 17400 10.19 - >> 13.70 61.43 N/A estimate b 2.58 + x 5.29 - 5.29 7.69 - 7.69 0.01 - 0.01 U2 = bad unk bad U2 U2 - U2 - method method 8100 b 9.91
RO ALP 3500 2.05 = N/A N/A 1300 interval b 89.33 = 800 - 1100 50 - 100 50 - 100 FV = good good good FV FV = FV N/A noChange noChange 900 b 1.10
SE ALP 90300 52.90 = 90300 N/A N/A 33 estimate b 2.27 = 33 32.45 - 32.45 0.55 - 0.55 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 45500 b 55.69
SI ALP 2056 1.20 = N/A N/A 2.20 minimum b 0.15 = >> 1.30 - 1.30 0.90 - 0.90 N/A - N/A U2 - good bad bad U2 U2 - U2 - noChange noChange 1400 b 1.71
SK ALP 2502.40 1.47 = N/A N/A 0.72 estimate c 0.05 = 0.14 - 0.14 0 - 0 0.57 - 0.57 FV u good good good FV FV = FV N/A N/A N/A 2600 b 3.18
BE ATL 15299 2.80 = N/A N/A 27.20 estimate a 2.72 = 0.35 - 0.75 26.45 - 26.85 N/A - N/A U2 = good good bad U2 U2 = U1 x knowledge knowledge 13900 b 3.96
DE ATL 49058 8.97 + 50460 34.63 38.63 36.63 estimate b 3.66 + >> 8.95 - 16.63 20 - 27.68 N/A - N/A U2 = poor bad bad U2 U2 + U2 + noChange noChange 35800 b 10.19
DK ATL 13227 2.42 = N/A N/A 33.90 estimate a 3.39 x 14.90 - 14.90 10.30 - 10.30 8.80 - 8.80 U2 - good good bad U2 U2 - U1 = N/A N/A 13700 a 3.90
ES ATL 55400 10.12 = N/A N/A 68.05 estimate b 6.80 = x 1.74 - 2.53 0.01 - 0.80 65.50 - 66.29 U1 x good good unk FV U1 = U1 = noChange noChange 34000 b 9.68
FR ATL 136100 24.87 = 200 1000 600 estimate c 59.94 = 93 - 600 16 - 600 490 - 600 XX = good good unk FV FV = FV N/A method method 68000 b 19.36
IE ATL 82200 15.02 = 82200 N/A N/A 234 estimate c 23.38 = 234 12 - 161 5 - 73 N/A - N/A U1 - good good poor U1 U1 - U1 - noChange noChange 80000 c 22.77
NL ATL 5100 0.93 = >> N/A N/A 1.20 estimate a 0.12 - >> N/A - N/A N/A - N/A 1.20 - 1.20 U1 - bad bad poor U2 U2 - U2 - noChange noChange 3800 a 1.08
PT ATL 1200 0.22 = N/A N/A N/A d 0 - > N/A - N/A N/A - N/A N/A - N/A FV = good poor good U1 U1 - U1 = noChange knowledge 700 c 0.20
UK ATL 189601.96 34.65 = 189601.96 N/A N/A N/A d 0 = > N/A - N/A N/A - N/A N/A - N/A U2 + good poor poor U1 U2 + U2 + noChange noChange 101400 b 28.86
BG BLS 3600 92.31 = 3600 N/A N/A 1.51 minimum b 0.50 u 1.51 0.78 - 0.78 0.54 - 0.54 0.20 - 0.20 U1 = poor poor poor U1 U1 = U1 = method method 1900 b 86.36
RO BLS 300 7.69 = N/A N/A 300 interval b 99.50 = 250 - 250 N/A - N/A N/A - 50 FV = good good unk FV FV = U1 N/A knowledge noChange 300 b 13.64
EE BOR 47400 5.29 = N/A N/A 95 estimate b 4.34 = N/A - N/A N/A - N/A 95 - 95 U1 + good good good FV U1 + U1 + genuine genuine 39000 a 5.03
FI BOR 341600 38.16 = N/A N/A 145 estimate b 6.62 = N/A - N/A N/A - N/A N/A - N/A U2 = good good bad U2 U2 = U2 + noChange genuine 321000 b 41.40
LT BOR 64787 7.24 = 64787 N/A N/A 1081 estimate a 49.38 + N/A - N/A N/A - N/A 1081 - 1081 XX u good poor poor U1 U1 = U1 - knowledge knowledge 14000 a 1.81
LV BOR 64303 7.18 = x 134.60 201.90 N/A estimate c 7.69 = x 51.15 - 76.73 18.84 - 28.28 N/A - N/A U1 x good good poor U1 U1 = U1 - knowledge knowledge 50200 c 6.47
SE BOR 377200 42.13 = 377200 N/A N/A 700 estimate b 31.97 = 700 70 - 70 163.30 - 163.30 466.70 - 466.70 U1 - good good poor U1 U1 - U1 - noChange noChange 351200 b 45.29
AT CON 5200 0.70 x x N/A N/A 15 estimate c 0.45 x > N/A - N/A N/A - N/A 15 - 15 XX x poor poor poor U1 U1 x U1 x noChange noChange 3800 b 0.78
BE CON 15499 2.08 = N/A N/A 67.37 estimate b 2.03 = 42.50 - 44.50 20.87 - 24.87 N/A - N/A U2 = good good poor U1 U2 = FV N/A method method 12900 b 2.65
BG CON 64100 8.61 u 64100 N/A N/A 94.71 minimum b 2.86 u 94.71 8.68 - 8.68 85.20 - 85.20 0.83 - 0.83 U2 - poor poor bad U2 U2 x U1 = method method 24200 b 4.98
CZ CON 72500 9.74 = N/A N/A 34.77 estimate c 1.05 = 31.61 - 31.61 1.92 - 1.92 1.24 - 1.24 U1 = good good poor U1 U1 = U1 + noChange noChange 39000 a 8.02
DE CON 274096 36.82 = 171.36 232.95 203.06 estimate b 6.12 + 61.30 - 126.73 35.53 - 65.99 40.79 - 75.76 U1 = good good poor U1 U1 + U1 = noChange method 241200 b 49.62
DK CON 28419 3.82 = N/A N/A 46.20 estimate a 1.39 x 8.10 - 8.10 24.10 - 24.10 14.10 - 14.10 U2 - good good bad U2 U2 - U1 = N/A N/A 26000 a 5.35
FR CON 180000 24.18 = 70 70 N/A minimum c 2.11 = 43 - 70 25 - 70 2 - 70 U1 - good poor poor U1 U1 - FV N/A noInfo noInfo 71900 b 14.79
HR CON 6900 0.93 u x 3.60 4 N/A estimate a 0.11 u x 2 - 2 N/A - N/A 1.60 - 2 XX u unk unk unk XX XX N/A N/A noChange noChange 6200 a 1.28
IT CON 48300 6.49 - >> 38.03 177.08 N/A estimate b 3.24 + x 26.40 - 26.40 1.80 - 1.80 0.80 - 0.80 U1 x bad unk poor U2 U2 - U2 - method method 28500 b 5.86
LU CON 3300 0.44 = 2.48 5.30 N/A estimate b 0.12 = > 1.83 - 3.91 0.65 - 1.39 N/A - N/A U2 = good poor poor U1 U2 = U2 + noChange noChange 1000 a 0.21
PL CON 11400 1.53 = N/A N/A 22 estimate b 0.66 = 13.83 - 19.80 2.20 - 8.17 N/A - N/A FV = poor poor poor U1 U1 = FV N/A genuine noChange 6000 b 1.23
RO CON 5600 0.75 = N/A N/A 2600 interval b 78.38 = 1700 - 2300 50 - 200 N/A - 100 FV = good good good FV FV = FV N/A knowledge knowledge 2300 b 0.47
SE CON 23400 3.14 = 23400 N/A N/A 35 estimate b 1.06 = 35 3.50 - 3.50 8.20 - 8.20 23.30 - 23.30 U1 - good good poor U1 U1 - U1 - noChange noChange 18900 b 3.89
SI CON 5708 0.77 = N/A N/A 13.80 minimum b 0.42 = > 8.30 - 10.70 3.20 - 5.40 0.10 - 0.10 U1 - good poor poor U1 U1 - U1 - noChange noChange 4200 b 0.86
ES MED 164200 56.02 = N/A N/A 56.14 estimate b 44.47 x > 10.64 - 10.64 6.63 - 6.63 38.87 - 38.87 U1 x unk poor unk XX U1 x U1 = noChange knowledge 71100 b 48.30
FR MED 53000 18.08 = x 18 71 N/A estimate c 35.25 = x N/A - N/A N/A - N/A 18 - 71 U1 u good good poor U1 U1 = U2 - noInfo noChange 18200 b 12.36
GR MED 9.61 0 = N/A N/A 9.61 minimum b 7.61 = 8.65 - 8.65 N/A - N/A 0.96 - 0.96 FV = good good good FV FV = FV N/A noChange noChange 12700 b 8.63
HR MED 3600 1.23 u > N/A N/A 2.40 estimate a 1.90 u > 2 - 2.40 N/A - N/A N/A - N/A FV u poor poor good U1 U1 x N/A N/A noChange noChange 2900 a 1.97
IT MED 31800 10.85 - >> 13.27 13.90 N/A estimate b 10.76 = >> 9.20 - 9.20 2.20 - 2.20 0.40 - 0.40 U1 = bad poor poor U2 U2 - U2 - method method 19700 b 13.38
PT MED 40500 13.82 = N/A N/A N/A d 0 - > N/A - N/A N/A - N/A N/A - N/A FV = good poor good U1 U1 - U1 = noChange knowledge 22600 c 15.35
CZ PAN 4100 46.20 = N/A N/A 2.71 estimate a 0.30 = 1.87 - 1.87 0.67 - 0.67 0.17 - 0.17 U1 - good good poor U1 U1 - U1 - noChange noChange 1600 a 23.53
HU PAN 1716 19.34 = 0.50 1 N/A estimate a 0.08 = > 0.45 - 0.85 0.01 - 0.05 0.04 - 0.10 FV = good poor good U1 U1 = U1 = noChange noChange 1900 a 27.94
RO PAN 1200 13.52 = x N/A N/A 900 interval b 99.57 = N/A - 800 N/A - N/A N/A - 100 FV = good good good FV FV = U1 = knowledge knowledge 900 b 13.24
SK PAN 1858.92 20.95 = N/A N/A 0.42 estimate c 0.05 = > 0.02 - 0.02 0 - 0 0.41 - 0.41 FV u good good good FV FV = FV N/A N/A N/A 2400 b 35.29
RO STE 1100 100 = N/A N/A 1000 interval b 100 = 800 - 900 N/A - 50 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 ALP 170864.40 2GD = 170684.4 130.31 178.93 155.34 2GD = ≈ 155.34 67.62 | 88.6 | 78.04 16.72 | 31.72 | 24.22 20.98 | 26.03 | 23.50 2GD = good good good 2GD MTX - U1 - nc nc U1 C

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 ATL 547185.96 1 = ≈ 547185.96 598.97 1402.97 1000.97 2GD = > 1000.97 130.94 | 795.81 | 463.38 77.76 | 738.63 | 408.20 565.50 | 676.29 | 620.89 2GD - good poor poor 2GD MTX = U2 + nc nong U2 D

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 BLS 3900 0EQ = ≈ 3900 301.51 301.51 301.51 2GD = ≈ 301.51 250.78 | 250.78 | 250.78 0.54 | 0.54 | 0.54 0.19 | 50.20 | 25.20 2GD = poor poor poor 2GD MTX = U1 = nc nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 BOR 895290 0EQ = ≈ 895290 2155.60 2222.90 2189.25 1 + ≈ 2189.25 121.15 | 146.73 | 133.94 182.14 | 191.58 | 186.86 1642.70 | 1642.70 | 1642.70 2GD - good poor poor 2GD MTX - U2 - nc nc U2 C

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 CON 744422 2GD = ≈ 744422 614.33 818.18 717.16 2GD = ≈ 717.16 251 | 355 | 303 208.67 | 297.04 | 252.86 99.77 | 203.13 | 151.45 2GD - good good poor 2GD MTX + U1 = nc nong U1 B1

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 MED 293109.61 1 = > 293109.61 99.42 153.05 126.24 2GD = > 126.24 30.49 | 30.81 | 30.69 8.83 | 8.83 | 8.83 58.23 | 111.23 | 85.73 2GD = poor poor poor 2GD MTX x U2 - nong nong U2 D

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 PAN 8874.92 0EQ = ≈ 8874.92 3.63 4.13 3.88 2GD = ≈ 3.88 2.33 | 2.73 | 2.53 0.68 | 0.72 | 0.70 0.62 | 0.62 | 0.62 2GD - good good poor 2GD MTX = U1 = nc nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State: SE

EEA-ETC/BD
EU28 STE 1100 0MS = ≈ 1100 1000 0MS = ≈ 1000 800 | 900 | 850 0 | 50 | 25 0 | 50 | 25 0MS = good good good 0MS MTX = FV = nc nc FV A=

03/20

EEA-ETC/BD

Institution: -

Member State: SE

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.