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, Acrocephalus arundinaceus. 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 completeSurvey
BG estimatePartial
CZ estimatePartial
DE estimateExpert
DK completeSurvey
EE estimateExpert
ES estimatePartial
FI estimatePartial
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimateExpert
LT estimateExpert
LU completeSurvey
LV estimatePartial
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI completeSurvey
SK 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 completeSurvey
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimatePartial
LT estimatePartial
LU completeSurvey
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI estimateExpert
SK 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
IT
LT
LU
LV
NL
PL
PT
RO
SE
SI
SK
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
2100
N/A
p
estimate
genuine
0.1
2007-2018 - -40 | -20 | (N/A) 1981-2018 - -80 | -50 | (N/A) 23700 2.7 2007-2018 + N/A | N/A | (45) 1981-2018 + 200 | 300 | (N/A) 21900 2.5
BE
6
20
13
p
estimate
genuine
2008-2018 + 200 | 900 | (550) 1973-2018 - -95 | -85 | (-90) 2423 # 0.3 2008-2018 - N/A | N/A | (-37.37) 1973-2018 - N/A | N/A | (-43.74) 5500 0.6
BG
20000
40000
N/A
p
estimate
noChange
1.9
2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 50571 5.7 2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 52500 5.9
CZ
1400
2800
N/A
p
estimate
noChange
#
0.1
2007-2018 u N/A | N/A | (-2) 1982-2018 + N/A | N/A | (2) # 35600 4.0 2002-2016 + N/A | N/A | (28.96) 1986-2016 + N/A | N/A | (36.55) # 34700 3.9
DE
18500
29000
N/A
p
mean
genuine
1.5
2004-2016 + N/A | N/A | (67) 1985-2016 + N/A | N/A | (141) 113834 12.8 2004-2016 + 11 | 40 | (N/A) 1980-2016 = -30 | 40 | (N/A) 118800 13.4
DK
N/A
N/A
20
p
estimate
noChange
#
2009-2017 + 281.48 | 4425.72 | (1330.1) 1980-2017 = -90.6 | 8.79 | (-67.38) # 2800 0.3 1996-2017 + N/A | N/A | (86.66) 1974-2017 - N/A | N/A | (-44) # 2600 0.3
EE
4000
6000
N/A
p
estimate
knowledge
0.3
2007-2018 = N/A 1980-2018 + 10 | 60 | (N/A) 28800 3.2 2007-2018 + 16 | 17 | (N/A) 1980-2018 + 25 | 29 | (N/A) 16800 1.9
ES
231500
472500
N/A
p
interval
noChange
21.8
1998-2018 - -25 | -15 | (N/A) 1980-2018 = N/A # 63939 7.2 2000-2018 + N/A | N/A | (8.9) 1980-2018 = N/A 65600 7.4
FI
200
400
300
p
estimate
noChange
2007-2018 - N/A | N/A | (25) 1980-2018 + N/A | N/A | (202) 16300 1.8 N/A N/A N/A 1980-2010 + 75 | 75 | (N/A) 16300 1.8
FR
1500
3000
N/A
p
estimate
noChange
0.1
2007-2017 x N/A 1980-2017 - -50 | -30 | (N/A) 39900 4.5 2009-2017 - -5 | -1 | (N/A) 1985-2017 - N/A | N/A | (-45) 39800 4.5
GR
20000
30000
N/A
p
estimate
knowledge
1.6
2007-2018 x N/A 1980-2018 + N/A | N/A | (50) 46900 5.3 2007-2018 x N/A 1980-2018 x N/A 33300 3.8
HR
50000
100000
N/A
p
estimate
N/A
4.7
2007-2018 x N/A 1980-2018 x N/A 250 2007-2018 x N/A 1980-2018 x N/A 16000 1.8
HU
211000
224000
N/A
p
interval
genuine
#
13.5
2007-2018 - -45 | -19 | (N/A) 1980-2018 - -60 | -15 | (N/A) # 93030 10.5 2007-2018 = N/A 1980-2018 = N/A # 95700 10.8
IT
20000
40000
N/A
p
estimate
noChange
1.9
2000-2014 - -25 | -10 | (N/A) 1993-2018 = N/A 89400 10.1 2007-2018 + 5 | 10 | (N/A) 1993-2018 + 35 | 40 | (N/A) 89400 10.1
LT
40000
80000
N/A
p
estimate
noChange
3.7
2013-2018 = 0 | 0 | (N/A) 1980-2018 + 10 | 20 | (N/A) 31200 3.5 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 31000 3.5
LU
5
8
N/A
p
mean
noChange
#
2007-2018 = 0 | 10 | (N/A) 1980-2018 + 100 | 800 | (N/A) # 8 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) # 200
LV
N/A
N/A
3000
p
minimum
method
0.2
2006-2018 - -76.8 | -14.2 | (-54.5) 1980-2018 x N/A 33600 3.8 2000-2017 - N/A | N/A | (-14) 1980-2017 = N/A | N/A | (10) 33400 3.8
NL
95
150
N/A
p
estimate
genuine
2006-2017 - -64 | -42 | (-54) 1980-2017 - -87 | -85 | (-86) 4800 0.5 2000-2015 - N/A | N/A | (-23.8) 1977-2015 - N/A | N/A | (-77.46) 4800 0.5
PL
151000
224000
N/A
p
interval
knowledge
11.6
2007-2018 = -6 | 37 | (14) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
600
2500
N/A
p
estimate
method
#
0.1
2007-2018 u N/A 1980-2018 x N/A # 14200 # 1.6 2005-2018 - N/A | N/A | (-36) 1980-2018 = N/A # 14000 1.6
RO
482188
706987
N/A
p
interval
method
36.9
2008-2018 u -9 | 2 | (N/A) 1980-2018 x N/A 143100 16.1 2007-2018 = N/A 1980-2018 = N/A 139300 15.7
SE
350
550
450
p
estimate
noChange
2007-2018 = -30 | 30 | (0) 1980-2018 + 40 | 80 | (60) 25100 2.8 2007-2018 = N/A 1980-2018 = N/A 25100 2.8
SI
250
350
N/A
p
estimate
noChange
#
2008-2018 x N/A 1980-2018 x N/A 5200 # 0.6 2007-2018 + 10 | 30 | (N/A) 1980-2018 + N/A | N/A | (116) # 4800 0.5
SK
1000
2000
N/A
p
estimate
noChange
2007-2018 = N/A 1980-2018 = N/A 22780 2.6 2007-2018 = N/A 1980-2018 = N/A 23400 2.6
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 775000 1270000 p - - 744000 NE NE Declining C B Secure Acrocephalus arundinaceus