Article 12 web tool

Log in

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 palustris. 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
CZ estimatePartial
DE completeSurvey
DK estimatePartial
EE estimateExpert
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimateExpert
LT estimateExpert
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
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
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimatePartial
LT estimateExpert
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
RO completeSurvey
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
DE
DK
EE
FI
FR
GR
HR
HU
IT
LT
LU
LV
NL
PL
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
25000
35000
N/A
p
estimate
noChange
0.9
2007-2018 = N/A | N/A | (10) 1981-2018 x N/A 51600 3.4 2007-2018 = N/A | N/A | (6) 1981-2018 = N/A | N/A | (0) 48300 3.2
BE
17100
35700
26400
p
estimate
method
0.8
2008-2018 u -52 | 61 | (-15) 1973-2018 + 30 | 170 | (100) # 30644 # 2.0 2008-2018 = N/A | N/A | (1.91) 1973-2018 = N/A | N/A | (8.44) 31900 2.1
BG
10000
26000
N/A
p
estimate
noChange
0.5
2001-2018 + 10 | 20 | (N/A) 1980-2018 = 0 | 10 | (N/A) 47174 3.1 2001-2018 + 0 | 10 | (N/A) 1980-2018 + 0 | 10 | (N/A) 49100 3.2
CZ
80000
160000
N/A
p
estimate
noChange
#
3.6
2007-2018 - N/A | N/A | (-4) 1982-2018 - N/A | N/A | (-2) # 70100 4.5 2002-2016 = N/A | N/A | (0.17) 1986-2016 = N/A | N/A | (6.45) # 67800 4.5
DE
290000
420000
N/A
p
estimate
genuine
10.7
2004-2016 - -35 | -22 | (-29) 1980-2016 - N/A | N/A | (-39) 349929 22.7 2004-2016 = -10 | 10 | (0) 1980-2016 = -30 | 40 | (0) 365900 24.0
DK
N/A
N/A
29644
p
estimate
genuine
#
0.9
2006-2017 - -44.17 | -9.45 | (-28.73) 1980-2017 = -15.25 | 14.21 | (-1.59) # 56500 3.7 1996-2017 + N/A | N/A | (14.6) 1974-2017 + N/A | N/A | (41.6) # 56500 3.7
EE
100000
180000
N/A
p
estimate
genuine
4.2
2007-2018 - -42 | -35 | (N/A) 1983-2018 = -38 | 26 | (N/A) 48900 3.2 2007-2018 = -2 | 0 | (N/A) 1980-2018 + 19 | 20 | (N/A) 21300 1.4
FI
3322
26361
15173
p
estimate
genuine
0.5
2007-2018 - 46 | 92 | (79) 1984-2018 = -65 | 51 | (-26) 57000 3.7 2007-2018 x N/A 1980-2010 + 31 | 31 | (N/A) 57000 3.7
FR
10000
20000
N/A
p
estimate
method
0.5
2007-2018 - N/A | N/A | (-37.8) 2001-2018 - N/A | N/A | (-37) 69000 4.5 2013-2018 u -12 | 5 | (N/A) 1989-2018 + 5 | 10 | (N/A) # 67600 4.4
GR
200
2000
N/A
p
estimate
noChange
2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) 14800 1.0 2007-2018 x N/A 1980-2018 x N/A 13800 0.9
HR
N/A
N/A
25000
p
minimum
N/A
0.8
2007-2018 x N/A 1980-2018 x N/A 30863 2.0 2007-2018 x N/A 1980-2018 x N/A 36000 2.4
HU
113000
152000
N/A
p
interval
knowledge
#
4.0
2007-2018 u -16 | 84 | (N/A) 1980-2018 x N/A # 93030 6.0 2007-2018 = N/A 1980-2018 = N/A # 94900 6.2
IT
10000
30000
N/A
p
estimate
noChange
0.6
2000-2014 - -30 | -20 | (N/A) 1993-2018 = N/A 54600 3.5 2007-2018 - -10 | -5 | (N/A) 1993-2018 + 35 | 40 | (N/A) 54600 3.6
LT
150000
300000
N/A
p
estimate
noChange
6.8
2013-2018 = 0 | 0 | (N/A) 1980-2018 + N/A | N/A | (10) 73500 4.8 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 71200 4.7
LU
800
1200
N/A
p
estimate
noChange
#
2007-2018 = 0 | 10 | (N/A) 1980-2018 - -20 | -10 | (N/A) 606 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 10 | (N/A) 2500 0.2
LV
91324
190337
131842
p
interval
method
4.0
2006-2018 - -41.4 | -0.5 | (-23.4) 1995-2018 + 3.44 | 262 | (N/A) 53200 3.5 2000-2017 - N/A | N/A | (-12) 1980-2017 + N/A | N/A | (35) 51800 3.4
NL
60000
100000
N/A
p
estimate
knowledge
2.4
2006-2017 = -4 | 12 | (4) 1984-2017 - -27 | -2 | (-16) 42700 2.8 2000-2015 = N/A | N/A | (-1.83) 1977-2015 = N/A | N/A | (0.47) 39900 2.6
PL
831000
1045000
N/A
p
interval
genuine
28.3
2007-2018 - -22 | -2 | (-13) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
RO
733455
1139786
N/A
p
interval
method
28.2
2008-2018 + 6 | 14 | (N/A) 1980-2018 x N/A 156700 10.2 2007-2018 = N/A 1980-2018 x N/A 153900 10.1
SE
16000
32000
24000
p
estimate
noChange
0.7
2007-2018 = -30 | 11 | (-11) 1980-2018 = -7 | 57 | (0) 182800 11.9 2007-2018 = N/A 1980-2018 = N/A 182700 12.0
SI
6700
10000
N/A
p
estimate
genuine
0.2
2008-2018 - -45 | -40 | (N/A) 1980-2018 x N/A 7200 # 0.5 2007-2018 x N/A 1980-2018 = N/A | N/A | (3) # 6400 0.4
SK
40000
50000
N/A
p
estimate
noChange
1.4
2007-2018 = N/A 1980-2018 = N/A 43845 2.9 2007-2018 = N/A 1980-2018 = N/A 45400 3.0
UK
N/A
N/A
7
p
mean
genuine
#
2001-2016 - N/A | N/A | (-50) 1978-2016 - N/A | N/A | (-85) 4800 0.3 1989-2009 + 220 | 220 | (N/A) 1970-2009 + 128.57 | 128.57 | (N/A) 4700 0.3
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 1900000 2880000 p - - 1380000 NE NE Declining C B Secure Acrocephalus palustris