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, Oenanthe oenanthe, Oenanthe oenanthe ([excluding seebohmi]). 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 completeSurvey
BG estimatePartial
CZ completeSurvey
DE estimateExpert
DK estimatePartial
EE estimateExpert
ES estimatePartial
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU estimateExpert
IE estimatePartial
IT estimateExpert
LT estimatePartial
LU completeSurvey
LV completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI completeSurvey
SK estimateExpert
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
LT estimatePartial
LU estimateExpert
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI absentData
SK estimateExpert
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
DE
DK
EE
ES
FI
FR
GR
HR
HU
IE
IT
LT
LU
LV
NL
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
17000
24000
N/A
p
estimate
knowledge
0.7
2007-2018 + N/A | N/A | (20) 1981-2018 x N/A 32800 1.8 2007-2018 + N/A | N/A | (28) 1981-2018 x N/A 31400 1.8 Oenanthe oenanthe ([excluding seebohmi])
BE
1
7
4
p
estimate
noInfo
2008-2018 = N/A | N/A | (0) 1973-2018 - -100 | -98 | (-99) 22 # 2008-2018 - N/A | N/A | (-94.23) 1973-2018 - N/A | N/A | (-99.5) 5300 0.3 Oenanthe oenanthe ([excluding seebohmi])
BG
20000
50000
N/A
p
estimate
genuine
1.2
2000-2018 - -30 | -20 | (N/A) 1980-2018 = 0 | 0 | (N/A) # 75945 4.2 2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 79100 4.5 Oenanthe oenanthe ([excluding seebohmi])
CZ
250
500
N/A
p
estimate
noChange
#
2007-2018 u N/A | N/A | (1) 1982-2018 x N/A # 16300 0.9 2002-2016 - N/A | N/A | (-22.04000) 1986-2016 - N/A | N/A | (-21.31) # 16300 0.9 Oenanthe oenanthe ([excluding seebohmi])
DE
2000
3100
N/A
p
estimate
genuine
2004-2016 - N/A | N/A | (-52) 1980-2016 - N/A | N/A | (-80) 33678 1.9 2004-2016 - -100 | -31 | (N/A) 1980-2016 - -100 | -66 | (N/A) 35700 2.0 Oenanthe oenanthe ([excluding seebohmi])
DK
N/A
N/A
1407
p
estimate
genuine
#
2006-2017 = -82.29 | 76.66 | (-40.9) 1987-2017 = -69.36 | 16.51 | (-39.82) # 9600 0.5 1996-2017 - N/A | N/A | (-49.73) 1974-2017 - N/A | N/A | (-69.13) # 9300 0.5 Oenanthe oenanthe ([excluding seebohmi])
EE
15000
25000
N/A
p
estimate
genuine
0.7
2007-2018 - -47 | -27 | (N/A) 1983-2018 = -57 | -15 | (N/A) # 50900 2.8 2007-2018 = N/A | N/A | (1) 1980-2018 = N/A | N/A | (-3) 23200 1.3 Oenanthe oenanthe ([excluding seebohmi])
ES
840000
1670000
N/A
p
interval
noChange
43.6
2007-2018 - -32.3 | N/A | (N/A) 1980-2018 - N/A 123141 6.9 2007-2018 - N/A | N/A | (-4.3) 1980-2018 = N/A 130900 7.4 Oenanthe oenanthe ([excluding seebohmi])
FI
59443
96813
76407
p
estimate
genuine
2.6
2007-2018 = -29 | 14 | (-10) 1980-2018 - 23 | 53 | (40) 204500 11.4 2007-2018 x N/A 1980-2010 - 33 | 33 | (N/A) 204100 11.6 Oenanthe oenanthe ([excluding seebohmi])
FR
20000
30000
N/A
p
estimate
method
0.9
2007-2017 = N/A 1989-2018 x N/A 64700 3.6 2013-2018 = -3 | 10 | (N/A) 1985-2018 - N/A | N/A | (-27) # 62500 3.5 Oenanthe oenanthe ([excluding seebohmi])
GR
220000
320000
N/A
p
estimate
knowledge
9.4
2007-2018 - N/A | N/A | (-99) 1980-2018 = N/A | N/A | (0) 98200 5.5 2007-2018 x N/A 1980-2018 x N/A 89800 5.1 Oenanthe oenanthe ([excluding seebohmi])
HR
1000
3000
N/A
p
estimate
N/A
2007-2018 x N/A 1980-2018 x N/A 13160 0.7 2007-2018 x N/A 1980-2018 x N/A 15600 0.9 Oenanthe oenanthe ([excluding seebohmi])
HU
2500
5000
N/A
p
estimate
knowledge
#
0.1
2007-2018 - -82 | -39 | (N/A) 1980-2018 - -90 | -60 | (N/A) # 36495 2.0 2007-2018 - -30 | -10 | (N/A) 1999-2018 - -40 | -20 | (N/A) 37400 2.1 Oenanthe oenanthe ([excluding seebohmi])
IE
18605
75471
43635
i
interval
genuine
#
N/A
2006-2016 = -12.7 | 15.3 | (0.4) 1980-2016 x N/A # 33300 1.9 2006-2016 = N/A | N/A | (1) 1972-2016 - N/A | N/A | (-28) # 33000 1.9 Oenanthe oenanthe ([excluding seebohmi])
IT
100000
200000
N/A
p
estimate
noChange
5.2
2012-2017 = N/A 1993-2018 = N/A 108400 6.0 2007-2018 = N/A 1993-2018 + 15 | 20 | (N/A) 104800 5.9 Oenanthe oenanthe ([excluding seebohmi])
LT
2000
4000
N/A
p
estimate
knowledge
0.1
2013-2018 - -10 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 17400 1.0 2006-2018 - -30 | -20 | (N/A) 1980-2012 - -30 | -20 | (N/A) 17400 1.0 Oenanthe oenanthe ([excluding seebohmi])
LU
0
1
N/A
p
estimate
genuine
2007-2018 - -50 | 0 | (N/A) 1980-2018 - -95 | -90 | (N/A) 0.00000 # 2007-2018 = 0 | 10 | (N/A) 1980-2018 - -90 | -80 | (N/A) N/A N/A Oenanthe oenanthe ([excluding seebohmi])
LV
6073
54490
18192
p
interval
method
0.6
2005-2018 u -66.7 | 119.5 | (-11.6) 1991-2016 = 3 | 6 | (N/A) 37500 2.1 2000-2017 - N/A | N/A | (-13) 1980-2017 + N/A | N/A | (25) 37300 2.1 Oenanthe oenanthe ([excluding seebohmi])
NL
210
320
N/A
p
estimate
noChange
2006-2017 = -31 | 8 | (-13) 1980-2017 - -96 | -95 | (-96) 6100 0.3 2000-2015 - N/A | N/A | (-45.04000) 1977-2015 - N/A | N/A | (-73.81) 6000 0.3 Oenanthe oenanthe ([excluding seebohmi])
PL
47000
67000
N/A
p
interval
genuine
2.0
2007-2018 - -54 | -20 | (-39) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A Oenanthe oenanthe ([excluding seebohmi])
PT
1000
5000
N/A
p
estimate
genuine
#
0.1
2007-2018 - N/A 1980-2018 x N/A # 4200 # 0.2 2005-2018 - N/A | N/A | (-72) 1980-2018 x N/A # 4200 0.2 Oenanthe oenanthe ([excluding seebohmi])
RO
374014
572234
N/A
p
interval
method
16.4
2008-2018 u -2 | 11 | (N/A) 1980-2018 x N/A 173500 9.7 2007-2018 x N/A 1980-2018 x N/A 172100 9.7 Oenanthe oenanthe ([excluding seebohmi])
SE
174000
402000
290000
p
estimate
noChange
10.1
2007-2018 = -15 | 11 | (-3) 1980-2018 - -45 | -5 | (-25) 456800 25.5 2007-2018 = N/A 1980-2018 = N/A 455600 25.8 Oenanthe oenanthe ([excluding seebohmi])
SI
400
1500
N/A
p
estimate
noChange
#
2008-2018 x N/A 1980-2018 x N/A 2500 # 0.1 2007-2018 x N/A 1980-2018 + N/A | N/A | (70) # 2400 0.1 Oenanthe oenanthe ([excluding seebohmi])
SK
2000
4000
N/A
p
estimate
noChange
0.1
2007-2018 - -60 | -30 | (N/A) 1980-2018 - -60 | -30 | (N/A) # 26159 # 1.5 2007-2018 - -60 | -30 | (N/A) 1980-2018 - -60 | -30 | (N/A) 27100 1.5 Oenanthe oenanthe ([excluding seebohmi])
UK
119429
220720
170074
p
interval
genuine
5.9
2004-2016 = N/A | N/A | (-7.72) 1995-2016 - -36 | -9 | (-26) # 168500 9.4 1989-2009 - -6.39 | -6.39 | (N/A) 1970-2009 - -12.42 | -12.42 | (N/A) 166800 9.4 Oenanthe oenanthe ([excluding seebohmi])
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 1880000 3680000 p - - 1870000 NE NE Near Threatened C B Unknown Oenanthe oenanthe ([excluding seebohmi])