Article 12 web tool

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Population status and trends at the EU and Member State levels

The Article 12 web tool provides an access to EU assessments and Member States’ data compiled as part of the Habitats Directive - Article 12 reporting process. The EU assessments have been carried out in EU 27 for the period 2008-2012 and in EU28 for the period 2013-2018.

Choose period, species and if relevant sub-specific unit.

Once a selection has been made the breeding distribution of the species can be visualized in a map.

The ‘Data sheet info’ includes notes for each assessment per species.

The ‘Audit trail’ includes the methods used for the EU assessment and justifications for decisions made by the assessors.

Legend
+
Increasing
=
Stable
x
Unknown
-
Decreasing
F
Fluctuating
u
Uncertain

Codes ‘PT’, ‘ES ‘correspond to Portugal mainland (excluding Azores-PTAC and Madeira-PTMA) and Spain mainland (excluding Canary Islands-ESIC) respectively.
Similarly ‘UK’ stands for the United Kingdom of Great Britain and Northern Ireland (excluding Gibraltar-GIB).
The data from delayed delivery by Romania were not used for the EU population status assessment.

Current selection: 2013-2018, Cinclus cinclus. Show all
Data from Member States reports
MS Breeding population Breeding distribution Winter population Breeding area from
gridded maps (km2)
Ssp. / subsp. unit
Population size Population trend Distribution size Distribution trend Population size Population trend
Min
Mouse-over texts for entries below show "Method used" reported for population size as a whole:
estimatePartial - based mainly on extrapolation from limited amount of data
estimateExpert - based mainly on expert opinion, with very limited data
absentData - insufficient or no data available
completeSurvey - complete survey or statistically robust estimate
Country Method used
AT estimatePartial
BE estimatePartial
BG estimatePartial
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimateExpert
ES completeSurvey
FI estimatePartial
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE estimatePartial
IT estimateExpert
LU estimatePartial
LV completeSurvey
PL estimatePartial
PT estimatePartial
RO estimateExpert
SE estimatePartial
SI completeSurvey
SK estimatePartial
UK estimatePartial
Max
Best value Unit Type est. Change % MS ST period ST direction ST magnitude LT period LT direction LT magnitude
Mouse-over texts for entries below show "Method used" reported for distribution surface area (in km²):
estimatePartial - based mainly on extrapolation from limited amount of data
estimateExpert - based mainly on expert opinion, with very limited data
absentData - insufficient or no data available
completeSurvey - complete survey or statistically robust estimate
Country Method used
AT completeSurvey
BE completeSurvey
BG estimatePartial
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE completeSurvey
IT estimatePartial
LU estimatePartial
LV completeSurvey
PL absentData
PT estimatePartial
RO estimatePartial
SE estimatePartial
SI absentData
SK completeSurvey
UK completeSurvey
Area
% MS ST period ST direction ST magnitude LT period LT direction LT magnitude Min
Mouse-over texts below show "Method used" reported for population size value(s):
estimatePartial - based mainly on extrapolation from limited amount of data
estimateExpert - based mainly on expert opinion, with very limited data
absentData - insufficient or no data available
completeSurvey - complete survey or statistically robust estimate
Country Method used
AT
BE
BG
CZ completeSurvey
DE
DK
EE
ES
FI
FR
GR
HR
HU
IE
IT
LU
LV
PL
PT
RO
SE
SI
SK
UK
Max
Best value Unit Type est. Change % MS ST period ST direction ST magnitude LT period LT direction LT magnitude Status Distrib. % MS
AT
6000
9000
N/A
p
estimate
noChange
6.4
2007-2018 = N/A | N/A | (0) 1981-2018 x N/A 64800 5.1 2007-2018 + N/A | N/A | (38) 1981-2018 = N/A | N/A | (0) 62400 4.9
BE
740
1050
890
p
estimate
noChange
0.8
2008-2018 = -18 | 17 | (-1) 1973-2018 = 0 | 42 | (20) # 9747 # 0.8 2008-2018 = N/A 1973-2018 = N/A 7900 0.6
BG
8000
11000
N/A
p
estimate
noChange
8.1
2000-2018 = 0 | 5 | (N/A) 1980-2018 = 0 | 5 | (N/A) 33482 2.6 2000-2018 = 0 | 5 | (N/A) 1980-2018 = 0 | 10 | (N/A) 34500 2.7
CZ
1000
2000
N/A
p
estimate
noChange
#
1.3
2007-2018 x N/A 1980-2018 x N/A # 39700 3.1 2002-2016 = N/A | N/A | (-8.37) 1986-2016 = N/A | N/A | (-4.61) # 2500 5000 N/A i estimate N/A N/A 2008-2019 + N/A | N/A | (2) 1980-2019 + N/A | N/A | (3) # other 38200 3.0
DE
11000
19500
N/A
p
mean
genuine
13.1
2004-2016 = N/A | N/A | (3) 1980-2016 + N/A | N/A | (26) # 167311 13.1 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 171300 13.4
DK
N/A
N/A
4
p
estimate
noChange
#
2006-2017 - N/A 1980-2017 x N/A # 1000 1996-2017 - N/A | N/A | (-16.66) 1974-2017 - N/A | N/A | (-16.66) # 1000
EE
3
10
N/A
p
estimate
noInfo
2006-2017 u 20 | 50 | (N/A) 1980-2017 x N/A 800 2007-2018 u 89 | 200 | (N/A) 1980-2018 u 83 | 167 | (N/A) # 800
ES
N/A
N/A
3310
p
minimum
noChange
2.8
2007-2018 u -3 | 9 | (3) 1980-2018 x N/A 53469 4.2 1998-2018 = N/A 1980-2018 - N/A 55200 4.3
FI
200
300
250
p
estimate
knowledge
0.2
2007-2018 x N/A 1980-2018 x N/A 12000 0.9 N/A N/A N/A 1980-2010 + 2 | 2 | (N/A) 12000 0.9
FR
15000
24000
N/A
p
estimate
method
16.7
2007-2017 x N/A 1990-2017 = 0 | 0 | (N/A) # 143300 11.2 2013-2018 = 1.4 | 1.4 | (N/A) 1989-2018 = 0 | 0 | (N/A) 142000 11.1
GR
500
2000
N/A
p
estimate
noChange
1.1
2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) 69100 5.4 2007-2018 x N/A 1980-2018 x N/A 64000 5.0
HR
N/A
N/A
1000
p
minimum
N/A
0.9
2007-2018 x N/A 1980-2018 x N/A 20 2007-2018 x N/A 1980-2018 x N/A 3300 0.3
HU
0
4
N/A
p
estimate
knowledge
2007-2017 F N/A 1980-2017 - N/A | N/A | (-89) # 677 2007-2018 F N/A 1980-2018 - N/A | N/A | (-50) # 900
IE
2030
6090
N/A
p
estimate
noChange
#
3.5
1991-2011 + N/A | N/A | (22) 1972-2011 - N/A | N/A | (-20) # 40600 # 3.2 1991-2011 + N/A | N/A | (22) 1972-2011 - N/A | N/A | (-20) # 40100 3.1
IT
4000
8000
N/A
p
estimate
noChange
5.1
2007-2018 x N/A 1993-2018 = N/A 75300 5.9 2007-2018 - -10 | -5 | (N/A) 1993-2018 + 30 | 35 | (N/A) 73700 5.8
LU
100
200
N/A
p
estimate
noChange
#
0.1
2007-2018 - -20 | -10 | (N/A) 1980-2018 - -30 | -10 | (N/A) 615 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2800 0.2
LV
1
10
N/A
p
estimate
genuine
2012-2018 + 35.67 | 166.47 | (82.5) 1991-2017 + 0 | 110 | (N/A) 1200 2000-2017 + N/A | N/A | (200) 1980-2017 + N/A | N/A | (140) 1200
PL
1900
3000
N/A
p
estimate
knowledge
2.1
2007-2018 x N/A 1980-2018 x N/A N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
500
2500
N/A
p
estimate
method
#
1.3
2007-2018 - N/A 1980-2018 x N/A # 6900 # 0.5 2005-2018 - N/A | N/A | (-45) 1980-2018 x N/A # 6900 0.5
RO
2600
26000
N/A
p
estimate
noInfo
12.2
2007-2018 - -20 | -1 | (N/A) 1980-2018 - -50 | -10 | (N/A) 47600 3.7 2007-2018 x N/A 1980-2018 x N/A 47600 3.7
SE
5700
15000
10000
p
estimate
noChange
8.6
2007-2018 u -48 | 417 | (N/A) 1980-2018 = -35 | 8 | (0) 335500 26.3 2007-2018 = N/A 1980-2018 = N/A 335500 26.3
SI
1000
3000
N/A
p
estimate
noChange
#
1.7
2008-2018 x N/A 1980-2018 x N/A 5500 # 0.4 2007-2018 x N/A 1980-2018 + N/A | N/A | (31) # 5500 0.4
SK
2000
3000
N/A
p
estimate
noChange
2.1
2007-2018 = N/A 1980-2018 = N/A 27943 2.2 2007-2018 = N/A 1980-2018 - -5 | -2 | (N/A) 30100 2.4
UK
6907
20721
N/A
p
estimate
genuine
11.8
2004-2016 = N/A | N/A | (1.33) 1980-2016 = N/A | N/A | (-3.02000) 140000 11.0 1989-2009 = N/A 1970-2009 - -10.2 | -10.2 | (N/A) # 138200 10.8
EU population status assessments
Breeding population Breeding distribution Winter population EU population
status
Contribution
to Target 1
Season Previous status Ssp. / subsp. unit
Population size (min) Population size (max) Unit Short-term trend Long-term trend Area Short-term trend Long-term trend Population size (min) Population size (max) Unit Short-term trend Long-term trend Breeding Wintering
EU28 80800 155000 p x = 1220000 NE NE Unknown E B Secure Cinclus cinclus