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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, 3270 Rivers with muddy banks with Chenopodion rubri p.p. and Bidention p.p. 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 N/A
N/A 0.13 N/A
1 1 2
0.11 0.28 3.61
N/A N/A 0.52
0.30 0.09 0.13
N/A N/A 0.30
0.17 17.27 N/A
0 0 N/A
0.12 N/A 1.22
16 16 16
1.26 0.06 N/A
1.20 1.10 N/A
N/A N/A N/A
N/A 0.11 0.02
200 N/A N/A
N/A N/A 0.25
N/A N/A 0.07
N/A N/A 50
N/A N/A 1100
1.19 16.03 0.93
0.30 0.08 0.10
41.61 60.56 8.85
0.02 0.02 N/A
N/A N/A 26100
2.50 N/A 2.50
31.02 3.33 0.03
20.66 17.35 N/A
2050 N/A 50
N/A N/A 5.20
2.60 1.17 12.89
24.50 24.50 24.50
N/A N/A 19.84
N/A N/A N/A
0.30 0.08 0.10
1.25 N/A N/A
1600 25 75
0.10 0.02 0.97
1950 50 50
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 100 0.31 x >> N/A N/A N/A estimate d 0 x x N/A - N/A N/A - N/A N/A - N/A XX x bad unk unk U2 U2 x U2 x noChange noChange 100 b 0.65
BG ALP 2700 8.40 u 2700 N/A N/A 0.13 minimum b 1.54 u 0.13 N/A - N/A 0.13 - 0.13 N/A - N/A U2 - poor poor bad U2 U2 x U1 = method method 800 b 5.16
FR ALP 8100 25.20 = > N/A 2 2 estimate c 23.05 - > N/A - 2 N/A - 2 2 - 2 U1 - good poor poor U1 U1 - U1 - noChange method 1200 b 7.74
IT ALP 17600 54.77 + x 4.02 6.99 N/A estimate b 63.44 + 0.11 - 0.11 0.28 - 0.28 3.61 - 3.61 XX x unk good unk XX XX U1 - knowledge knowledge 9600 b 61.94
SI ALP 222 0.69 = >> N/A N/A 0.52 estimate b 5.99 = x N/A - N/A N/A - N/A 0.52 - 0.52 XX x poor poor unk U1 U2 = U1 - method method 200 c 1.29
SK ALP 3414.58 10.63 x N/A N/A 0.52 estimate c 5.98 x > 0.30 - 0.30 0.09 - 0.09 0.13 - 0.13 FV u unk good good FV XX XX N/A N/A N/A 3600 b 23.23
BE ATL 2200 2.96 = 0.28 0.32 0.30 estimate b 0.55 u > N/A - N/A N/A - N/A 0.30 - 0.30 XX x good poor unk U1 U1 x U1 = noChange method 1400 a 3.31
DE ATL 4703 6.32 = 17.41 17.48 17.45 estimate a 31.89 = x 0.12 - 0.23 17.22 - 17.32 N/A - N/A U2 = good poor bad U2 U2 = U2 = noChange noChange 3500 b 8.27
DK ATL 1070 1.44 x >> N/A N/A 0 estimate b 0.01 x >> 0 - 0 0 - 0 N/A - N/A U2 x bad bad bad U2 U2 x XX N/A N/A N/A 400 b 0.95
ES ATL 27900 37.51 = N/A N/A 1.34 estimate b 2.45 = x 0.12 - 0.12 N/A - N/A 1.22 - 1.22 U1 x good good unk FV U1 = U1 = noChange noChange 9500 b 22.46
FR ATL 30000 40.34 = > 32 32 N/A estimate c 58.50 = >> N/A - 32 N/A - 32 N/A - 32 U2 u good poor poor U1 U2 = U2 - noChange noChange 21200 b 50.12
IE ATL 1600 2.15 = 1600 1.18 1.45 N/A estimate a 2.40 = 1.13 - 1.39 0.05 - 0.06 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 1200 a 2.84
NL ATL 5500 7.40 = N/A N/A 2.30 estimate a 4.20 = 0.70 - 1.70 0.60 - 1.60 N/A - N/A FV + good good good FV FV + U1 = genuine genuine 4600 a 10.87
PT ATL 1400 1.88 = 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 500 c 1.18
BG BLS 200 66.67 = 200 N/A N/A 0.13 minimum b 0.04 = 0.13 N/A - N/A 0.11 - 0.11 0.02 - 0.02 U2 - poor poor bad U2 U2 - U1 = method method 200 b 40
RO BLS 100 33.33 = N/A N/A 300 interval b 99.96 = 100 - 300 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A knowledge knowledge 300 a 60
LT BOR 64787 99.25 = 64787 0.22 0.25 N/A interval a 75.81 u N/A - N/A N/A - N/A 0.25 - 0.25 U1 u good poor unk U1 U1 x U1 = knowledge knowledge 400 a 50
LV BOR 491 0.75 = x 0.06 0.09 N/A estimate c 24.19 = > N/A - N/A N/A - N/A 0.06 - 0.09 XX x unk unk unk XX XX XX N/A knowledge knowledge 400 c 50
AT CON 3600 1.11 = >> N/A N/A 50 estimate c 1.57 x >> N/A - N/A N/A - N/A 50 - 50 XX x bad bad unk U2 U2 x U2 x noChange noChange 2900 b 1.70
BE CON 1600 0.49 = N/A N/A 0.04 estimate c 0 = N/A - N/A N/A - N/A 1100 - 1100 XX = good unk unk XX XX XX N/A noChange noChange 1000 a 0.59
BG CON 23000 7.09 u 23000 N/A N/A 18.16 minimum b 0.57 u 18.16 1.19 - 1.19 16.03 - 16.03 0.93 - 0.93 U2 - poor poor bad U2 U2 x U1 = method method 11400 b 6.69
CZ CON 14200 4.37 = N/A N/A 0.47 minimum b 0.01 - > 0.30 - 0.30 0.08 - 0.08 0.10 - 0.10 U1 = good poor poor U1 U1 - U1 - noChange noChange 5400 a 3.17
DE CON 28970 8.92 = > 111.72 112.59 112.16 estimate a 3.51 - 40.90 - 42.32 60.13 - 61 8.50 - 9.20 U2 = poor poor bad U2 U2 - U2 = noChange method 21600 b 12.68
DK CON 1600 0.49 x >> N/A N/A 0.04 estimate b 0 x >> 0.02 - 0.02 0.02 - 0.02 N/A - N/A U2 x bad bad bad U2 U2 x XX N/A N/A N/A 600 b 0.35
FR CON 72900 22.46 = > N/A N/A N/A estimate d 0.25 - >> N/A - N/A N/A - N/A 26100 - 26100 U1 x good poor unk U1 U2 x U2 - noChange noChange 25400 b 14.91
HR CON 13600 4.19 = N/A N/A 5 minimum b 0.16 u > 2.50 - 2.50 N/A - N/A 2.50 - 2.50 XX u good poor unk U1 U1 x N/A N/A noChange noChange 13000 b 7.63
IT CON 63400 19.53 - 50.21 58.30 N/A estimate b 1.70 + 31.02 - 31.02 3.33 - 3.33 0.03 - 0.03 U1 = poor poor poor XX U1 - U1 - method method 36800 b 21.61
PL CON 94400 29.08 x N/A N/A 38 minimum c 1.19 x x 8.82 - 32.49 5.51 - 29.19 N/A - N/A U1 = poor poor poor U1 U1 x XX N/A knowledge noChange 48600 b 28.54
RO CON 5000 1.54 = N/A N/A 2900 interval b 90.87 = 1300 - 2800 N/A - N/A N/A - 100 FV = good good good FV FV = FV N/A noChange noChange 2100 a 1.23
SI CON 2343 0.72 = >> N/A N/A 5.20 estimate b 0.16 = x N/A - N/A N/A - N/A 5.20 - 5.20 XX x bad bad unk U2 U2 = U2 - noChange method 1500 c 0.88
ES MED 85700 51.88 x x N/A N/A 16.65 estimate b 27.31 - 2.60 - 2.60 1.17 - 1.17 12.89 - 12.89 XX x unk unk unk XX U1 x U2 = knowledge knowledge 36300 b 52.46
FR MED 39100 23.67 = x 5 44 N/A estimate c 40.17 - x 5 - 44 5 - 44 5 - 44 U1 u good poor poor U1 U2 - U1 - noChange noChange 10600 b 15.32
IT MED 26000 15.74 - 15.28 24.39 N/A estimate b 32.52 + < N/A - N/A N/A - N/A 15.28 - 24.39 XX x poor good poor XX U1 - FV N/A method method 15400 b 22.25
PT MED 14400 8.72 = 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 6900 c 9.97
CZ PAN 2200 9.77 = N/A N/A 0.16 minimum b 0.01 = > 0.30 - 0.30 0.08 - 0.08 0.10 - 0.10 U2 = good poor poor U1 U2 = U1 - method noChange 900 a 4.43
HU PAN 13172 58.50 = 0.50 2 N/A estimate a 0.05 - > 0.50 - 2 N/A - N/A N/A - N/A FV = good poor good U1 U1 - U1 = noChange knowledge 14700 a 72.41
RO PAN 4900 21.76 = N/A N/A 2300 interval b 99.89 = 1100 - 2100 N/A - 50 N/A - 150 FV = good good good FV FV = FV N/A noChange noChange 2100 a 10.34
SK PAN 2245.54 9.97 x N/A N/A 1.10 estimate c 0.05 x > 0.10 - 0.10 0.02 - 0.02 0.97 - 0.97 FV u unk good good FV XX XX N/A N/A N/A 2600 b 12.81
RO STE 4800 100 = > N/A N/A 2400 interval b 100 + 1800 - 2100 N/A - 100 N/A - 100 FV + good good good FV FV = FV N/A noChange noChange 2300 a 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 74373 2XA = > 74373 54.51 54.89 54.70 2XA = >> 54.7 - | - | - - | - | - - | - | - 2XA x good poor poor 2XA MTX = U2 - nc nc U2 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BLS 300 0EQ = ≈ 300 300.12 300.12 300.13 0EQ = ≈ 300.13 100 | 300 | 200 0.108 | 0.108 | 0.054 0.019 | 0.019 | 0.009 1 = good good good 2XA MTX = U1 = nong nong U1 A=

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 BOR 65278 2XA = ≈ 65278 0.28 0.34 0.31 2XA x ≈ 0.31 - | - | - - | - | - 0.31 | 0.34 | 0.325 2XA x good poor unk 2XA MTX x U1 = nong nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 CON 32613 2GD - > 324613 29278.84 29287.80 29283.32 2GD - | - | - - | - | - - | - | - 2GD x good poor unk 2GD MTX x U1 - nc nc U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 MED 165200 2GD - x 36.93 85.04 60.99 2GD - < - | - | - - | - | - - | - | - 2GD x unk unk unk 2GD MTX - U2 - nong nong U2 C

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 PAN 22517.54 2XA = ≈ 22517.54 2301.75 2303.25 2302.50 2XA = ≈ 2302.50 1100.9 | 2102.4 | 1601.65 - | - | - - | - | - 2XA good good good 2XA MTX = U1 = nc nc U1 A+

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 ALP 32136.58 2XA + > 32136.58 5.19 10.16 8.67 2XA + > 8.68 - | - | - - | - | - - | - | - 2XA - unk good unk 2XA MTX x U1 - nong nong U1 D

02/20

EEA-ETC/BD

Institution: -

Member State:

EEA-ETC/BD
EU28 STE 4800 0MS = > 2400 0MS + 1800 | 2100 | - - | 100 | - - | 100 | - 0MS + good good good 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.