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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, 3220 Alpine rivers and the herbaceous vegetation along their banks, 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
3 0.55 0.20
61 N/A N/A
52.75 52.75 105.50
45.77 15.21 2.17
5 5 N/A
8100 450 100
383.50 6.50 N/A
22.70 23 44
0.01 0 0.04
4.47 N/A 0.07
4 N/A N/A
44.25 0.75 N/A
N/A N/A 3
0.03 N/A 0.06
0.88 1.66 N/A
N/A N/A N/A
9.94 0.04 0.01
0 0.01 N/A
2850 200 100
N/A 0.67 0.67
2.30 N/A N/A
0.78 N/A 0.06
N/A 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 26700 10.10 = > N/A N/A 100 estimate b 0.96 = >> N/A - N/A N/A - N/A 100 - 100 XX x poor bad poor U2 U2 = U2 x knowledge knowledge 22600 b 11.11
DE ALP 3549 1.34 = 3549 3.50 4 3.75 estimate b 0.04 + 2.80 - 3.20 0.50 - 0.60 0.20 - 0.20 U1 = good good poor U1 U1 + U1 = noChange genuine 3600 a 1.77
FI ALP 22000 8.32 = N/A N/A 61 estimate b 0.59 = 61 - 61 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 18800 b 9.24
FR ALP 27600 10.44 = x 105.50 105.50 N/A estimate c 1.01 = x N/A - 105.50 N/A - 105.50 105.50 - 105.50 U1 - good unk poor U1 U1 - U1 - noChange noChange 17100 b 8.40
IT ALP 45500 17.21 - > 150.03 157.05 N/A estimate b 1.47 - > 45.77 - 45.77 15.21 - 15.21 2.17 - 2.17 U1 = poor poor good U1 U1 = U1 - knowledge knowledge 28900 b 14.20
PL ALP 10800 4.09 = N/A N/A 10 estimate b 0.10 = 2.73 - 7.27 2.73 - 7.27 N/A - N/A U1 = poor poor poor U1 U1 = U1 = noChange noChange 5800 b 2.85
RO ALP 18900 7.15 = N/A N/A 9500 interval b 91.23 + 7700 - 8500 100 - 800 N/A - 200 U1 u good good poor U1 U1 - FV N/A knowledge knowledge 8300 b 4.08
SE ALP 103900 39.31 = 103900 N/A N/A 390 estimate b 3.75 = 390 383.50 - 383.50 6.50 - 6.50 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 93100 b 45.75
SI ALP 3566 1.35 = N/A N/A 89.70 estimate c 0.86 - > 22.70 - 22.70 23 - 23 44 - 44 U2 - good bad bad U2 U2 - U2 - noChange noChange 3400 d 1.67
SK ALP 1827.45 0.69 = N/A N/A 0.05 estimate c 0 = 0.01 - 0.01 0 - 0 0.04 - 0.04 U1 u good poor poor U1 U1 = FV N/A knowledge N/A 1900 b 0.93
ES ATL 7100 100 = x N/A N/A 4.54 estimate b 100 = 4.47 - 4.47 N/A - N/A 0.07 - 0.07 FV = unk good unk XX XX XX N/A noChange noChange 4900 b 100
FI BOR 13900 22.35 = N/A N/A 4 estimate a 8.16 = 4 - 4 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 8000 b 26.67
SE BOR 48300 77.65 = 48300 N/A N/A 45 estimate b 91.84 = 45 44.25 - 44.25 0.75 - 0.75 N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 22000 b 73.33
AT CON 1000 2.10 = >> N/A N/A 3 estimate c 0.08 = >> N/A - N/A N/A - N/A 3 - 3 XX x bad bad bad U2 U2 = U2 x noChange noChange 1100 b 6.11
CZ CON 1400 2.94 u N/A N/A 0.09 estimate a 0 + 0.03 - 0.03 N/A - N/A 0.06 - 0.06 U1 = good good poor U1 U1 = U1 = noChange noChange 1000 a 5.56
DE CON 2489 5.23 + >> 2.46 2.61 2.54 estimate a 0.07 + > 0.85 - 0.90 1.61 - 1.71 N/A - N/A U2 = poor poor poor U1 U2 + U2 = noChange genuine 1900 a 10.56
FR CON N/A 0 N/A N/ N/A N/A N/A N/A 0 N N/ N/A - N/A N/A - N/A N/A - N/A N/A N/A N/A N/A N/A N/A N/A N N/A N/A noChange noChange N/A b 0
IT CON 30200 63.49 - x 63.04 97.59 N/A estimate b 2.12 + > 9.94 - 9.94 0.04 - 0.04 0.01 - 0.01 U1 - poor poor poor U1 U1 - U1 - method method 9500 b 52.78
PL CON 4000 8.41 = N/A N/A 0.01 estimate b 0 = N/A - 0.01 0.01 - 0.01 N/A - N/A U2 u poor unk poor U1 U2 = U1 = method noChange 1400 b 7.78
RO CON 7400 15.56 = N/A N/A 3700 interval b 97.70 + 2600 - 3100 N/A - 400 N/A - 200 U1 u good poor poor U1 U1 - FV N/A knowledge knowledge 2300 b 12.78
SI CON 1079 2.27 = N/A N/A 1.34 estimate b 0.04 - >> N/A - N/A 0.67 - 0.67 0.67 - 0.67 U2 - good bad bad U2 U2 - U2 - noChange noChange 800 d 4.44
PT MAC 200 100 = 2.30 2.30 2.30 estimate a 100 = 2.30 - 2.30 N/A - N/A N/A - N/A FV = good good good FV FV = FV N/A noChange noChange 200 a 100
ES MED 7300 100 = x N/A N/A 0.84 minimum c 100 = 0.78 - 0.78 N/A - N/A 0.06 - 0.06 FV = unk poor good U1 U1 = U1 = noChange noChange 4000 b 100
FR MED N/A 0 N/A N/ N/A N/A N/A N/A 0 N N/ N/A - N/A N/A - N/A N/A - N/A N/A N/A N/A N/A N/A N/A N/A N N/A N/A noChange noChange N/A b 0
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 264342 1 = > 264342 2GD - > 8218 | 9128 | 8673 147 | 958 | 553 251 | 451 | 351 2GD - 2GD MTX - U1 - nc nc U1 C

02/20

Institution: -

Member State: Austria

Details
EU28 ATL 7100 0MS = x 4.54 4.54 4.54 0MS = ≈ 4.54 4.47 | 4.47 | 4.47 0 | 0 | 0 0.07 | 0.07 | 0.07 0MS = unk good unk 0MS MTX x XX x nc nc XX D

12/19

Institution: -

Member State: Austria

Details
EU28 BOR 62200 0EQ = ≈ 62200 49 49 49 0EQ = ≈ 49 48.25 | 48.25 | 48.25 0.75 | 0.75 | 0.75 0 | 0 | 0 0EQ = good good good 0EQ MTX = FV = nc nc FV A=

12/19

Institution: -

Member State: Austria

Details
EU28 CON 47568 2GD - > 47568 2GD + > - | - | - - | - | - - | - | - 2GD - 2GD MTX - U1 - nc nc U1 C

12/19

Institution: -

Member State: Austria

Details
EU28 MAC 200 0MS = ≈ 200 2.30 2.30 2.30 0MS = ≈ 2.3 2.3 | 2.3 | 2.3 0 | 0 | 0 0 | 0 | 0 0MS = good good good 0MS MTX = FV = nc nc FV A=

12/19

Institution: -

Member State: Austria

Details
EU28 MED 0MS x x 2GD x x - | - | - - | - | - - | - | - 2GD x 2GD MTX x U1 = nong nong U1 D

12/19

Institution: -

Member State: Austria

Details
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.