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, Sylvia communis. 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 estimateExpert
BG estimatePartial
CZ completeSurvey
DE completeSurvey
DK estimatePartial
EE estimateExpert
ES estimatePartial
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE completeSurvey
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV 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
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
15000
30000
N/A
p
estimate
genuine
0.2
2007-2018 - N/A | N/A | (-31) 1981-2018 x N/A 37300 1.3 2007-2018 - N/A | N/A | (-31) 1981-2018 x N/A 34100 1.2
BE
65800
103700
84800
p
estimate
genuine
0.7
2008-2018 + -2 | 35 | (15) 1973-2018 + 67 | 163 | (115) # 30659 # 1.1 2008-2018 = N/A 1973-2018 = N/A 31600 1.1
BG
60000
160000
N/A
p
estimate
genuine
0.9
2001-2018 + 33 | 167 | (N/A) 1980-2018 = 0 | 5 | (N/A) 102567 3.5 2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 106300 3.7
CZ
100000
200000
N/A
p
estimate
noChange
#
1.2
2007-2018 - N/A | N/A | (-3) 1982-2018 = N/A # 81900 2.8 2002-2016 = N/A | N/A | (0.97) 1986-2016 = N/A | N/A | (1.3) # 77900 2.7
DE
600000
950000
N/A
p
estimate
genuine
6.4
2004-2016 + 18 | 41 | (29) 1980-2016 + N/A | N/A | (29) # 346034 11.9 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 361200 12.6
DK
N/A
N/A
392846
p
estimate
genuine
#
3.3
2006-2017 = -8.42 | 13.86 | (2.16) 1980-2017 + 4.73 | 26.06000 | (14.91) # 59400 2.0 1996-2017 = N/A | N/A | (2.06000) 1974-2017 = N/A | N/A | (-1.88) # 59100 2.0
EE
300000
500000
N/A
p
estimate
genuine
3.3
2007-2018 - -46 | -45 | (N/A) 1983-2018 = -20 | 10 | (N/A) 56600 2.0 2007-2018 = 0 | 2 | (N/A) 1980-2018 = 6 | 7 | (N/A) 32500 1.1
ES
510000
780000
N/A
p
interval
noChange
5.3
2007-2018 + N/A 1980-2018 - N/A | N/A | (-2.7) 68324 2.4 2007-2018 - -21.1 | N/A | (N/A) 1980-2018 - -38.5 | N/A | (N/A) 71800 2.5
FI
270010
363482
315654
p
estimate
genuine
2.6
2007-2018 - 22 | 38 | (30) 1980-2018 = -47 | -14 | (-32) 191300 6.6 N/A N/A N/A 1980-2010 + 14 | 14 | (N/A) 191200 6.7
FR
700000
1300000
N/A
p
estimate
method
8.3
2007-2018 = N/A | N/A | (-4.5) 2001-2018 - N/A | N/A | (-8) # 420800 14.5 2013-2018 = -3 | N/A | (N/A) 1989-2018 = N/A 418300 14.5
GR
50000
100000
N/A
p
estimate
noChange
0.6
2007-2018 = N/A | N/A | (0) 1980-2018 x N/A 142400 4.9 2007-2018 x N/A 1980-2018 x N/A 132900 4.6
HR
300000
500000
N/A
p
estimate
N/A
3.3
2007-2018 x N/A 1980-2018 x N/A 53441 1.9 2007-2018 x N/A 1980-2018 x N/A 67000 2.3
HU
235000
249000
N/A
p
interval
knowledge
#
2.0
2007-2018 + 4 | 63 | (N/A) 1980-2018 = N/A # 93030 3.2 2007-2018 = N/A 1980-2018 = N/A 94400 3.3
IE
63356
131478
97099
i
interval
genuine
#
N/A
2006-2016 + 9.1 | 36.3 | (22) 1980-2016 x N/A 66100 2.3 2006-2016 + N/A | N/A | (36) 1972-2016 + N/A | N/A | (23.7) # 65300 2.3
IT
50000
250000
N/A
p
estimate
noChange
1.2
2000-2014 = N/A 1993-2018 + 0 | 25 | (N/A) 170600 5.9 2007-2018 - -10 | -5 | (N/A) 1993-2018 + 10 | 15 | (N/A) 170400 5.9
LT
250000
400000
N/A
p
estimate
noChange
2.7
2013-2018 = -5 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 73500 2.5 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 71100 2.5
LU
3000
4000
N/A
p
estimate
noChange
#
2007-2018 = 0 | 10 | (N/A) 1980-2018 + 30 | 70 | (N/A) 1215 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2400
LV
392413
545314
462588
p
interval
method
3.8
2005-2018 + 6.1 | 62.1 | (31.4) 1995-2018 + 59.39 | 190.92 | (N/A) 67800 2.3 2000-2017 = N/A | N/A | (-6) 1980-2017 + N/A | N/A | (22) 65800 2.3
NL
120000
200000
N/A
p
estimate
knowledge
1.3
2006-2017 + 44 | 62 | (53) 1984-2017 + 153 | 225 | (186) 44900 1.6 2000-2015 = N/A | N/A | (-1.1) 1977-2015 = N/A | N/A | (0.44) 40900 1.4
PL
2300000
2668000
N/A
p
interval
genuine
20.6
2007-2018 = -12 | 1 | (-6) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
50000
100000
N/A
p
estimate
noChange
#
0.6
2007-2018 x N/A 1980-2018 x N/A # 12900 # 0.5 2005-2018 - N/A | N/A | (-49) 1980-2018 x N/A # 12600 0.4
RO
2053226
2580060
N/A
p
interval
method
19.2
2008-2018 = -2 | 3 | (N/A) 1980-2018 x N/A 209400 7.2 2007-2018 = N/A 1980-2018 = N/A 204400 7.1
SE
164000
330000
248000
p
estimate
noChange
2.1
2007-2018 = -1 | 14 | (6) 1980-2018 = -1 | 21 | (0) 262200 9.1 2007-2018 = N/A 1980-2018 = N/A 262100 9.1
SI
15300
21400
N/A
p
estimate
genuine
0.1
2008-2018 - N/A | N/A | (-50.6) 1980-2018 x N/A 6800 # 0.2 2007-2018 x N/A 1980-2018 = N/A | N/A | (6) # 5900 0.2
SK
50000
100000
N/A
p
estimate
noChange
0.6
2007-2018 - -10 | -1 | (N/A) 1980-2018 - -10 | -1 | (N/A) 49020 1.7 2007-2018 = N/A 1980-2018 - N/A | N/A | (-20) 52200 1.8
UK
N/A
N/A
1121804
p
estimate
genuine
#
9.3
2004-2016 + N/A | N/A | (12.56) 1980-2016 + N/A | N/A | (68.79) # 246400 8.5 1989-2009 + 8.12 | 8.12 | (N/A) 1970-2009 = 0.12 | 0.12 | (N/A) 244700 8.5
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 9170000 14700000 p = + 2680000 NE NE Secure A B Secure Sylvia communis