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, Emberiza schoeniclus. 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 estimatePartial
BE estimatePartial
BG estimatePartial
CZ completeSurvey
DE completeSurvey
DK estimatePartial
EE estimateExpert
ES completeSurvey
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU estimatePartial
IE completeSurvey
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI estimatePartial
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
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
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
CZ
DE
DK
EE
ES
FI
FR
GR
HR
HU
IE
IT
LT
LU
LV
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
3500
5300
N/A
p
estimate
knowledge
#
0.2
2007-2018 = N/A | N/A | (10) 1981-2018 x N/A 25700 1.2 2007-2018 - N/A | N/A | (-16) 1981-2018 = N/A | N/A | (0) 24000 1.2
BE
2900
4700
3800
p
estimate
genuine
0.2
2008-2018 - -60 | -4 | (-38) 1973-2018 - -69 | -51 | (-60) # 25918 # 1.2 2008-2018 = N/A 1973-2018 - N/A | N/A | (-9.07000) 23600 1.1
BG
200
400
N/A
p
estimate
noChange
2000-2018 = N/A 1980-2018 = N/A 8295 0.4 2000-2018 = N/A 1980-2018 = N/A 8800 0.4
CZ
45000
90000
N/A
p
estimate
noChange
#
3.4
2007-2018 u N/A | N/A | (3) 1982-2018 + N/A | N/A | (2) # 52100 2.5 2002-2016 = N/A | N/A | (-7.2) 1986-2016 = N/A | N/A | (0.43) # 51200 2.5
DE
115000
200000
N/A
p
estimate
genuine
7.9
2004-2016 - -31 | -15 | (-23) 1980-2016 - N/A | N/A | (-27) # 307888 14.8 2004-2016 = -10 | 10 | (0) 1980-2016 = -30 | 40 | (0) 322800 15.7
DK
N/A
N/A
41085
p
estimate
genuine
#
2.0
2006-2017 - -50.25 | -32.01000 | (-41.78) 1980-2017 - -40.78 | -23.09000 | (-32.5) # 56700 2.7 1996-2017 = N/A | N/A | (0.88) 1974-2017 = N/A | N/A | (-0.88) # 56400 2.7
EE
50000
100000
N/A
p
estimate
knowledge
3.7
2007-2018 = -64 | 39 | (N/A) 1983-2018 + -69 | 82 | (N/A) 46300 2.2 2007-2018 = 4 | 5 | (N/A) 1980-2018 + 17 | 18 | (N/A) 26700 1.3
ES
155
170
N/A
p
estimate
genuine
#
2007-2018 - -64 | -46.7 | (N/A) 1980-2018 - N/A | N/A | (-64) # 3005 0.1 2007-2018 = N/A 1980-2018 - N/A | N/A | (-44) 5100 0.2
FI
169386
204075
186217
p
mean
genuine
9.3
2007-2018 - 22 | 41 | (32) 1980-2018 - 45 | 64 | (55) 279700 13.5 N/A N/A N/A 1980-2010 + 1 | 1 | (N/A) 279300 13.6
FR
25000
50000
N/A
p
estimate
method
1.9
2007-2018 - N/A | N/A | (-44.15) 2001-2017 - -40 | -30 | (N/A) 137600 6.6 2013-2018 - -19 | -6 | (N/A) 1989-2018 - -25 | -15 | (N/A) 135900 6.6
GR
500
700
N/A
p
estimate
knowledge
2007-2018 = N/A | N/A | (0) 1980-2018 + 50 | 50 | (N/A) 32300 1.6 2007-2018 x N/A 1980-2018 x N/A 29300 1.4
HR
N/A
N/A
1000
p
estimate
N/A
2007-2018 x N/A 1980-2018 x N/A 152 2007-2018 x N/A 1980-2018 x N/A 3000 0.1
HU
10700
121000
N/A
p
estimate
knowledge
3.3
2007-2018 = N/A 1980-2018 = N/A 43510 2.1 2007-2018 = N/A 1980-2018 = N/A # 44300 2.1
IE
136453
256297
191922
i
interval
genuine
#
N/A
2006-2016 + 1.2 | 21.4 | (10.9) 1980-2016 x N/A 78500 3.8 2006-2016 + N/A | N/A | (13) 1972-2016 = N/A | N/A | (9.4) # 77500 3.8
IT
1000
2500
N/A
p
estimate
genuine
2000-2014 - -97 | -95 | (N/A) 1993-2018 - -95 | -90 | (N/A) 17200 0.8 2007-2018 - -35 | -30 | (N/A) 1993-2018 + 20 | 25 | (N/A) 17200 0.8
LT
40000
80000
N/A
p
estimate
knowledge
3.0
2013-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 73500 3.5 2006-2018 = 0 | 0 | (N/A) 1980-2012 = 0 | 0 | (N/A) 71900 3.5
LU
400
600
N/A
p
estimate
noChange
2007-2018 - -20 | 0 | (N/A) 1980-2018 - -30 | -10 | (N/A) 87 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2200 0.1
LV
17798
50568
30000
p
interval
genuine
1.5
2005-2018 u -13.4 | 352 | (103.1) 1995-2018 u -35.37 | 780.5 | (N/A) 45900 2.2 2000-2017 - N/A | N/A | (-11) 1980-2017 + N/A | N/A | (29) 45100 2.2
NL
60000
110000
N/A
p
estimate
knowledge
4.2
2006-2017 = -3 | 9 | (3) 1984-2017 + 74 | 127 | (99) 42300 2.0 2000-2015 = N/A | N/A | (-2.3) 1977-2015 = N/A | N/A | (-5.15) 39900 1.9
PL
437000
513000
N/A
p
interval
genuine
23.7
2007-2018 - -33 | -12 | (-23) 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
300
N/A
p
estimate
method
#
2007-2018 u N/A 1980-2018 x N/A # 900 # 2005-2018 - N/A | N/A | (-50) 1980-2018 - N/A # 900
RO
51010
124218
N/A
p
interval
method
4.4
2008-2018 u -9 | 9 | (N/A) 1980-2018 x N/A 41100 2.0 2007-2018 x N/A 1980-2018 x N/A 40700 2.0
SE
286000
351000
318000
p
estimate
genuine
15.9
2007-2018 - -29 | -13 | (-21) 1980-2018 - -66 | -54 | (-60) 475300 22.9 2007-2018 = N/A 1980-2018 = N/A 472900 23.0
SI
100
200
N/A
p
estimate
noChange
2007-2018 x N/A 1980-2018 x N/A 1300 # 2007-2018 x N/A 1980-2018 + N/A | N/A | (64) # 1300
SK
20000
40000
N/A
p
estimate
noChange
1.5
2007-2018 = N/A 1980-2018 = N/A 29993 1.4 2007-2018 = N/A 1980-2018 = N/A 31000 1.5
UK
N/A
N/A
274849
p
estimate
genuine
#
13.7
2004-2016 + N/A | N/A | (20.23) 1980-2016 = N/A | N/A | (5.8) # 249500 12.0 1989-2009 + 7.36 | 7.36 | (N/A) 1970-2009 = N/A # 248000 12.0
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 1730000 2760000 p - - 2030000 NE NE Declining C B Secure Emberiza schoeniclus