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, Gallinula chloropus. 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 completeSurvey
BE estimateExpert
BG estimatePartial
CY estimatePartial
CZ completeSurvey
DE estimateExpert
DK estimatePartial
EE estimateExpert
ES completeSurvey
ESIC completeSurvey
FI estimatePartial
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU estimateExpert
IE estimatePartial
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV estimatePartial
MT completeSurvey
NL completeSurvey
PL estimateExpert
PT estimatePartial
PTAC estimatePartial
PTMA estimatePartial
RO completeSurvey
SE estimatePartial
SI estimatePartial
SK estimatePartial
UK completeSurvey
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 completeSurvey
CY estimateExpert
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
ESIC completeSurvey
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimatePartial
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
MT completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
PTAC estimatePartial
PTMA completeSurvey
RO completeSurvey
SE estimatePartial
SI absentData
SK estimatePartial
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
CY
CZ completeSurvey
DE
DK
EE
ES
ESIC
FI
FR
GR
HR
HU
IE
IT
LT
LU
LV
MT
NL
PL
PT
PTAC
PTMA
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
2000
2700
N/A
p
estimate
noChange
0.3
2007-2018 = N/A | N/A | (10) 1981-2018 + 15 | 30 | (N/A) 31400 1.6 2007-2018 = N/A | N/A | (7) 1981-2018 = N/A | N/A | (0) 30000 1.5
BE
12500
31000
21800
p
estimate
genuine
2.6
2008-2018 - -52 | -22 | (-39) 1973-2018 - -70 | -24 | (-47) # 30559 # 1.6 2008-2018 = N/A 1973-2018 = N/A 31100 1.6
BG
5000
12000
N/A
p
estimate
noChange
1.0
2000-2018 = 0 | 10 | (N/A) 1980-2018 = 0 | 10 | (N/A) 43897 2.2 2000-2018 = 0 | 10 | (N/A) 1980-2018 F N/A 45000 2.3
CY
50
200
N/A
p
estimate
genuine
2007-2018 + 0 | 33 | (N/A) 1980-2018 + 250 | 500 | (N/A) 3300 0.2 2007-2018 + N/A | N/A | (22) 1980-2018 x N/A 3300 0.2
CZ
3000
6000
N/A
p
estimate
noChange
#
0.5
2001-2017 - -93 | -25 | (N/A) 1981-2017 x N/A # 46100 2.4 2002-2016 = N/A | N/A | (-4.02000) 1986-2016 = N/A | N/A | (-2.64) # 139 653 N/A i estimate N/A N/A 2008-2019 - N/A | N/A | (-16) 1980-2019 - N/A | N/A | (-1) # other 45400 2.3
DE
30000
52000
N/A
p
mean
genuine
4.8
2004-2016 - N/A | N/A | (-13) 1980-2016 = N/A | N/A | (-4) 325245 16.6 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 339700 17.1
DK
N/A
N/A
3359
p
estimate
genuine
#
0.4
2006-2017 - -57.96 | -17 | (-40.64) 1980-2017 - -64.68 | -41.62 | (-54.56) # 50000 2.6 1996-2017 = N/A | N/A | (-6.54) 1974-2017 = N/A | N/A | (-4.03000) # 49900 2.5
EE
500
1000
N/A
p
estimate
knowledge
2006-2017 = -10 | 10 | (N/A) 1980-2017 - -10 | 0 | (N/A) 9700 0.5 2007-2018 = N/A | N/A | (-10) 1980-2018 - N/A | N/A | (-43) 9700 0.5
ES
N/A
N/A
58400
p
minimum
noChange
6.9
2007-2018 - -4.4 | -1.2 | (-2.8) 1980-2018 = N/A 139787 7.1 2007-2018 - N/A 1980-2018 = N/A 147900 7.5
ESIC
N/A
N/A
203
p
estimate
genuine
#
2007-2018 F N/A 1980-2018 F N/A # 5700 0.3 2007-2018 + N/A | N/A | (19) 1980-2018 - N/A | N/A | (-11.82) # 6500 0.3
FI
100
200
150
p
estimate
genuine
2007-2018 + N/A | N/A | (15) 1980-2018 + N/A | N/A | (103) 8900 0.5 N/A N/A N/A 1980-2010 + 10 | 10 | (N/A) 8900 0.5
FR
120000
200000
N/A
p
estimate
method
18.9
2007-2017 = 0 | 0 | (N/A) 1989-2017 = 0 | 0 | (N/A) 388300 19.8 2013-2018 = -2 | 2 | (N/A) 1989-2018 = N/A | N/A | (0) 385400 19.4
GR
5000
10000
N/A
p
estimate
noChange
0.9
2007-2018 = N/A | N/A | (0) 1980-2018 x N/A 58000 3.0 2007-2018 x N/A 1980-2018 x N/A 54900 2.8
HR
5000
15000
N/A
p
estimate
N/A
1.2
2007-2018 x N/A 1980-2018 x N/A 477 2007-2018 x N/A 1980-2018 x N/A 12500 0.6
HU
6000
12000
N/A
p
estimate
noChange
#
1.1
2007-2018 = N/A 1980-2018 = N/A # 50326 2.6 2007-2018 = N/A 1980-2018 = N/A 51300 2.6
IE
N/A
N/A
64496
p
estimate
noChange
#
7.6
2000-2011 = N/A | N/A | (0) 1972-2011 - N/A | N/A | (-20) # 61400 # 3.1 1993-2011 = N/A | N/A | (0) 1972-2011 - N/A | N/A | (-20) # 60400 3.0
IT
100000
150000
N/A
p
estimate
noChange
14.8
2000-2014 - -15 | -5 | (N/A) 1993-2018 + 0 | 25 | (N/A) 206800 10.6 2007-2018 = N/A 1993-2018 + 40 | 45 | (N/A) 206700 10.4
LT
2500
3500
N/A
p
estimate
genuine
0.3
2013-2018 - -20 | -15 | (N/A) 1980-2018 = N/A 13000 0.7 2006-2018 = N/A 1980-2018 = N/A 12900 0.7
LU
400
600
N/A
p
estimate
noChange
2007-2018 = 0 | 0 | (N/A) 1980-2018 x N/A 136 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2100 0.1
LV
523
1000
N/A
p
estimate
method
2000-2017 x N/A 1991-2017 - -82 | -81 | (N/A) 14200 0.7 2000-2017 - N/A | N/A | (-26) 1980-2017 = N/A | N/A | (-17) 14200 0.7
MT
20
31
N/A
p
estimate
genuine
2008-2018 = N/A | N/A | (-8) 1980-2018 = N/A | N/A | (10) # 9 2008-2018 + N/A | N/A | (22) 1980-2018 = N/A 500
NL
25000
35000
N/A
p
estimate
knowledge
3.5
2006-2017 - -28 | -15 | (-21) 1984-2017 = -17 | 18 | (-1) 43300 2.2 2000-2015 = N/A | N/A | (-2.47) 1977-2015 = N/A | N/A | (-3.77) 40400 2.0
PL
10000
21000
N/A
p
estimate
noChange
1.8
2007-2018 u -54 | 3 | (-31) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
5000
25000
N/A
p
estimate
N/A
#
1.8
2007-2018 u N/A 1980-2018 x N/A 36300 # 1.9 2005-2018 - N/A | N/A | (-33) 1980-2018 = N/A # 36100 1.8
PTAC
N/A
N/A
30
p
minimum
N/A
#
2007-2018 x N/A 1980-2018 x N/A 1700 # 2008-2018 - N/A | N/A | (19.7) 1980-2018 x N/A # 1600
PTMA
50
100
N/A
p
estimate
noChange
#
2008-2018 + N/A | N/A | (1) 1980-2018 + N/A | N/A | (1) # 600 2001-2018 + N/A | N/A | (1) 1980-2018 + N/A | N/A | (1) # 500
RO
36602
61719
N/A
p
interval
method
5.8
2007-2018 x N/A 1980-2018 x N/A 81500 4.2 2007-2018 = N/A 1980-2018 x N/A 79400 4.0
SE
2500
3700
3100
p
estimate
noChange
0.4
2007-2018 = -30 | 30 | (0) 1980-2018 u -50 | 200 | (N/A) # 52500 2.7 2007-2018 = N/A 1980-2018 = N/A 52400 2.6
SI
750
1000
N/A
p
estimate
noChange
0.1
2007-2018 x N/A 1980-2018 x N/A 6000 # 0.3 2007-2018 x N/A 1980-2018 = N/A | N/A | (15) # 5600 0.3
SK
1000
2500
N/A
p
estimate
noChange
0.2
2007-2018 = N/A 1980-2018 = N/A 29048 1.5 2007-2018 = N/A 1980-2018 = N/A 30300 1.5
UK
N/A
N/A
208733
p
estimate
noInfo
#
24.7
2004-2016 - N/A | N/A | (-26.48) 1980-2016 - N/A | N/A | (-25.4) # 218600 11.2 1989-2009 = 1.34 | 1.34 | (N/A) 1970-2009 - -8.19 | -8.19 | (N/A) 217200 11.0
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 672000 921000 p - = 1870000 NE NE Secure A B Secure Gallinula chloropus