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 scirpaceus. 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 completeSurvey
DK estimatePartial
EE estimateExpert
ES estimatePartial
FI estimatePartial
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE estimateExpert
IT estimateExpert
LT estimateExpert
LU estimatePartial
LV estimatePartial
MT completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI completeSurvey
SK estimatePartial
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
CY estimatePartial
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR completeSurvey
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT estimateExpert
LU estimatePartial
LV completeSurvey
MT completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
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
CY
CZ
DE
DK
EE
ES
FI
FR
GR
HR
HU
IE
IT
LT
LU
LV
MT
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
48000
65000
N/A
p
estimate
noChange
2.7
2007-2018 = N/A | N/A | (0) 1981-2018 - -100 | -50 | (N/A) # 28000 1.9 2007-2018 = N/A | N/A | (10) 1981-2018 + 100 | 200 | (N/A) 26500 1.8
BE
20800
51100
36000
p
estimate
method
1.7
2008-2018 - -51 | -2 | (-30) 1973-2018 + 343 | 987 | (666) 25453 # 1.7 2008-2018 = N/A | N/A | (-6.39) 1973-2018 + N/A | N/A | (28.8) 23300 1.6
BG
5000
10000
N/A
p
estimate
noChange
0.4
2001-2018 + 10 | 20 | (N/A) 1980-2018 = 0 | 10 | (N/A) 15696 1.1 2001-2018 + 0 | 10 | (N/A) 1980-2018 = 0 | 10 | (N/A) 17300 1.2
CY
100
300
N/A
p
estimate
noChange
2007-2018 = 0 | 0 | (N/A) 1980-2018 x N/A 2200 0.1 2007-2018 = 0 | 0 | (N/A) 1980-2018 x N/A 2200 0.1
CZ
55000
110000
N/A
p
estimate
noChange
#
3.9
2007-2018 = N/A | N/A | (0) 1982-2018 + N/A | N/A | (1) # 50000 3.4 2002-2016 = N/A | N/A | (-1.1) 1986-2016 = N/A | N/A | (2.99) # 48800 3.3
DE
115000
190000
N/A
p
estimate
genuine
7.3
2004-2016 = -7 | 21 | (6) 1980-2016 + 41 | 180 | (N/A) 289835 19.5 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 303900 20.5
DK
N/A
N/A
34705
p
estimate
genuine
#
1.7
2006-2017 - -30.63 | -8.08000 | (-20.08000) 1980-2017 - -43.58 | -28.97 | (-36.68) # 52100 3.5 1996-2017 = N/A | N/A | (-2.61) 1974-2017 = N/A | N/A | (-7.42) # 51900 3.5
EE
10000
20000
N/A
p
estimate
noChange
0.7
2007-2018 = N/A 1980-2018 + 100 | 200 | (N/A) 25700 1.7 2007-2018 + 16 | 17 | (N/A) 1980-2018 + 31 | 40 | (N/A) 15000 1.0
ES
341300
665403
N/A
p
interval
noChange
24.1
1998-2018 = N/A 1980-2018 = N/A 63601 4.3 2000-2018 = N/A 1980-2018 = N/A 63900 4.3
FI
20000
30000
25000
p
mean
noChange
1.2
2007-2018 = -37 | 89 | (10) 1980-2018 = N/A | N/A | (8) 38200 2.6 N/A N/A N/A 1980-2010 N/A N/A 38200 2.6
FR
60000
120000
N/A
p
estimate
knowledge
4.3
2007-2018 = N/A | N/A | (-5.88) 2001-2018 + N/A | N/A | (44) 193200 13.0 2009-2017 = 1 | 2.5 | (N/A) 1985-2017 - -8 | -5 | (N/A) 191200 12.9
GR
20000
30000
N/A
p
estimate
knowledge
1.2
2007-2018 x N/A 1980-2018 = N/A | N/A | (0) 47500 3.2 2007-2018 x N/A 1980-2018 x N/A 42500 2.9
HR
15000
30000
N/A
p
estimate
N/A
1.1
2007-2018 x N/A 1980-2018 x N/A 170 2007-2018 x N/A 1980-2018 x N/A 6500 0.4
HU
91000
122000
N/A
p
interval
knowledge
#
5.1
2007-2018 x N/A 1980-2018 x N/A # 58638 3.9 2007-2018 = N/A 1980-2018 = N/A 59900 4.0
IE
101
250
N/A
p
estimate
genuine
2013-2018 + N/A | N/A | (0) 1991-2018 + N/A | N/A | (0) # 2100 # 0.1 2012-2018 = N/A | N/A | (0) 1991-2018 + N/A | N/A | (425) # 2100 0.1
IT
30000
60000
N/A
p
estimate
noChange
2.1
2000-2014 = N/A 1993-2018 = N/A 115700 7.8 2007-2018 + 15 | 20 | (N/A) 1993-2018 + 50 | 55 | (N/A) 115700 7.8
LT
15000
30000
N/A
p
estimate
genuine
1.1
2013-2018 - -5 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 18200 1.2 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 18200 1.2
LU
200
250
N/A
p
estimate
noChange
2007-2018 = 0 | 10 | (N/A) 1980-2018 + 0 | 20 | (N/A) 92 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 + 20 | 30 | (N/A) 2200 0.1
LV
N/A
N/A
4000
p
minimum
method
0.2
2007-2018 x N/A 1980-2018 x N/A 24300 1.6 2000-2017 - N/A | N/A | (-16) 1980-2017 = N/A | N/A | (17) 23900 1.6
MT
9
12
N/A
p
estimate
genuine
2008-2018 + N/A | N/A | (16) 1980-2018 = N/A | N/A | (16) # 4 2008-2018 + N/A | N/A | (25) 1980-2018 = N/A 300
NL
140000
240000
N/A
p
estimate
knowledge
9.1
2006-2017 + 6 | 22 | (14) 1984-2017 + 7 | 42 | (23) 43100 2.9 2000-2015 = N/A | N/A | (-0.69) 1977-2015 = N/A | N/A | (6.15) 40300 2.7
PL
104000
169000
N/A
p
interval
knowledge
6.5
2007-2018 = -25 | 31 | (0) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
1000
5000
N/A
p
estimate
method
#
0.1
2007-2018 x N/A 1980-2018 x N/A # 11100 # 0.8 2005-2018 = N/A | N/A | (-22) 1980-2018 = N/A # 7700 0.5
RO
134944
225900
N/A
p
interval
method
8.6
2008-2018 u -28 | 12 | (N/A) 1980-2018 x N/A 50800 3.4 2007-2018 = N/A 1980-2018 = N/A 50500 3.4
SE
177000
255000
211000
p
estimate
genuine
10.1
2007-2018 - -39 | -12 | (-27) 1980-2018 - -59 | -43 | (-52) 205300 13.8 2007-2018 = N/A 1980-2018 = N/A 205200 13.8
SI
200
300
N/A
p
estimate
noChange
#
2008-2018 x N/A 1980-2018 x N/A 2800 # 0.2 2007-2018 x N/A 1980-2018 + N/A | N/A | (135) # 2800 0.2
SK
10000
20000
N/A
p
estimate
noChange
0.7
2007-2018 = N/A 1980-2018 = N/A 15724 1.1 2007-2018 = N/A 1980-2018 = N/A 16500 1.1
UK
101020
154211
127615
p
interval
genuine
#
6.1
2004-2016 = N/A | N/A | (0.54) 1980-2016 + N/A | N/A | (86.4) # 109700 7.4 1989-2009 + 38.51 | 38.51 | (N/A) 1970-2009 + 41.55 | 41.55 | (N/A) 108700 7.3
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 1410000 2420000 p = = 1430000 NE NE Secure A B Secure Acrocephalus scirpaceus