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, Rallus aquaticus. 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 estimatePartial
BG estimatePartial
CZ completeSurvey
DE estimateExpert
DK estimatePartial
EE estimatePartial
ES estimatePartial
FI estimatePartial
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU estimateExpert
IE estimatePartial
IT estimateExpert
LT estimatePartial
LU completeSurvey
LV estimatePartial
MT
NL completeSurvey
PL estimateExpert
PT 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 estimateExpert
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimatePartial
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimateExpert
LV completeSurvey
MT
NL completeSurvey
PL absentData
PT estimatePartial
RO estimatePartial
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
CZ
DE
DK
EE
ES
FI
FR
GR
HR
HU
IE
IT
LT
LU
LV
MT estimateExpert
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
1500
2800
N/A
p
estimate
method
1.6
2007-2018 x N/A 1981-2018 - -80 | -50 | (N/A) 13100 1.4 2007-2018 - N/A | N/A | (-19) 1981-2018 = N/A | N/A | (0) 12000 1.3
BE
730
1210
970
p
estimate
method
#
0.7
2008-2018 = -37 | 5 | (-16) 1973-2018 + 26 | 109 | (67) 18874 # 2.0 2008-2018 + N/A | N/A | (32.71) 1973-2018 + N/A | N/A | (91.69) 16900 1.8
BG
2000
4000
N/A
p
estimate
noChange
2.2
2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 11911 1.3 2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 13000 1.4
CZ
800
1600
N/A
p
estimate
noChange
#
0.9
2007-2018 x N/A 1980-2018 x N/A # 32600 3.5 2002-2016 = N/A | N/A | (8.92) 1986-2016 + N/A | N/A | (53.26) # 32500 3.4
DE
13500
20000
N/A
p
mean
genuine
12.1
2004-2016 = N/A | N/A | (7) 1980-2016 + N/A | N/A | (24) # 186105 19.8 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 196600 20.7
DK
N/A
N/A
1632
p
estimate
genuine
#
1.2
2006-2017 = -36.01000 | 90.07000 | (11.65) 1996-2017 = -39.15 | 51.03000 | (-3.68) # 37700 4.0 1996-2017 + N/A | N/A | (36.59) 1974-2017 + N/A | N/A | (108.28) # 37600 4.0
EE
800
1500
N/A
p
estimate
knowledge
#
0.8
2006-2017 = 29 | 48 | (N/A) 1980-2017 + 29 | 48 | (N/A) 10200 1.1 2007-2018 + 38 | 49 | (N/A) 1980-2018 + 40 | 52 | (N/A) 10200 1.1
ES
11400
68800
N/A
p
interval
noChange
28.9
2007-2018 u N/A 1980-2018 + N/A 38526 4.1 2007-2018 u -10 | 9.7 | (N/A) 1980-2018 + N/A | 43.6 | (N/A) 40200 4.2
FI
700
1300
1000
p
estimate
genuine
0.7
2007-2018 + N/A | N/A | (13) 1980-2018 + N/A | N/A | (270) 29300 3.1 N/A N/A N/A 1980-2010 + 121 | 121 | (N/A) 29300 3.1
FR
4000
7000
N/A
p
estimate
method
4.0
2007-2017 x N/A 1980-2018 - N/A # 80000 8.5 2007-2017 x N/A 1989-2017 - -30 | -10 | (N/A) # 79700 8.4
GR
1000
3000
N/A
p
estimate
noChange
1.4
2007-2018 = N/A | N/A | (0) 1980-2018 x N/A 39900 4.2 2007-2018 x N/A 1980-2018 x N/A 35700 3.8
HR
5000
8000
N/A
p
estimate
N/A
4.7
2007-2018 x N/A 1980-2018 x N/A 160 2007-2018 x N/A 1980-2018 x N/A 6400 0.7
HU
5000
7000
N/A
p
estimate
knowledge
#
4.3
2007-2018 = N/A 1990-2018 x N/A # 33674 3.6 2007-2018 = N/A 1980-2018 x N/A 34600 3.6
IE
980
1961
N/A
p
estimate
noChange
#
1.1
2000-2011 x N/A 1980-2011 x N/A # 20300 # 2.2 1991-2011 + N/A | N/A | (54) 1972-2011 - N/A | N/A | (-7) # 20200 2.1
IT
3000
6000
N/A
p
estimate
noChange
3.2
2007-2018 x N/A 1993-2018 = N/A 62200 6.6 2007-2018 - -15 | -10 | (N/A) 1993-2018 + 55 | 60 | (N/A) 62200 6.5
LT
2000
2500
N/A
p
estimate
noChange
1.6
2013-2018 = N/A 1980-2018 = N/A 12500 1.3 2006-2018 = N/A 1980-2018 = N/A 12500 1.3
LU
17
22
N/A
p
estimate
noChange
2007-2018 = 0 | 10 | (N/A) 1980-2018 = 0 | 10 | (N/A) # 32 # 2007-2018 = 0 | 10 | (N/A) 1980-2018 = 0 | 10 | (N/A) 800
LV
870
1800
N/A
p
estimate
knowledge
1.0
2012-2017 x N/A 1991-2017 + 41 | 48 | (N/A) 11700 1.2 2000-2017 + N/A | N/A | (77) 1980-2017 + N/A | N/A | (179) 11700 1.2
MT
35 50 N/A i estimate noInfo N/A 2008-2018 u N/A | N/A | (5) 1980-2018 u N/A | N/A | (5) other
NL
2800
4700
N/A
p
estimate
genuine
2.7
2006-2017 + 31 | 58 | (44) 1984-2017 = -1 | 59 | (25) # 31100 3.3 2000-2015 = N/A | N/A | (9.5) 1977-2015 = N/A | N/A | (6.5) 30500 3.2
PL
10000
20000
N/A
p
estimate
noChange
10.8
2007-2018 u -4 | 197 | (71) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
50
250
N/A
p
estimate
N/A
#
0.1
2007-2018 u N/A 1980-2018 x N/A # 4100 # 0.4 2005-2018 - N/A | N/A | (-45) 1980-2018 x N/A # 4100 0.4
RO
9397
21155
N/A
p
interval
method
11.0
2007-2018 x N/A 1980-2018 x N/A 38500 4.1 2007-2018 x N/A 1980-2018 x N/A 37900 4.0
SE
2900
6500
4700
p
estimate
knowledge
#
3.4
2007-2018 u -50 | 50 | (N/A) 1980-2018 u -55 | 665 | (N/A) # 139700 14.9 2007-2018 = N/A 1980-2018 = N/A 139700 14.7
SI
200
300
N/A
p
estimate
method
0.2
2007-2013 x N/A 1980-2018 x N/A 2200 # 0.2 2007-2018 x N/A 1980-2018 + N/A | N/A | (30) # 2100 0.2
SK
300
600
N/A
p
estimate
noChange
0.3
2007-2018 = N/A 1980-2018 = N/A 14300 1.5 2007-2018 = N/A 1980-2018 = N/A 15200 1.6
UK
N/A
N/A
1410
p
mean
genuine
#
1.0
2004-2018 x N/A 1988-2011 = N/A 71100 7.6 1989-2009 + 51.92 | 51.92 | (N/A) 1970-2009 = 2.89 | 2.89 | (N/A) 70000 7.4
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 84100 197000 p x u 901000 NE NE Unknown E B Unknown Rallus aquaticus