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 borin. 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 completeSurvey
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU estimateExpert
IE estimatePartial
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI completeSurvey
SK estimateExpert
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 estimatePartial
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI absentData
SK estimateExpert
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
knowledge
0.3
2007-2018 = N/A | N/A | (7) 1981-2018 x N/A 54400 2.4 2007-2018 = N/A | N/A | (6) 1981-2018 x N/A 51800 2.3
BE
49500
79200
64400
p
estimate
method
1.0
2008-2018 - -61 | -32 | (-49) 1973-2018 - -38 | 0 | (-19) # 30535 # 1.3 2008-2018 = N/A 1973-2018 = N/A 31300 1.4
BG
200
800
N/A
p
estimate
noChange
2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 8852 0.4 2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 9500 0.4
CZ
190000
380000
N/A
p
estimate
noChange
#
4.2
2007-2018 - N/A | N/A | (-3) 1982-2018 - N/A | N/A | (-3) # 74200 3.2 2002-2016 = N/A | N/A | (1.54) 1986-2016 = N/A | N/A | (3.14) # 71200 3.1
DE
690000
1000000
N/A
p
estimate
genuine
12.5
2004-2016 - -38 | -25 | (-32) 1980-2016 - N/A | N/A | (-38) 356151 15.6 2004-2016 = -10 | 10 | (0) 1980-2016 = -30 | 40 | (0) 371500 16.4
DK
N/A
N/A
175402
p
estimate
genuine
#
2.6
2006-2017 - -34.39 | -5.18 | (-21.01000) 1980-2017 - -51.98 | -40.64 | (-46.61) # 56800 2.5 1996-2017 = N/A | N/A | (0.35) 1974-2017 = N/A | N/A | (-1.06000) # 56600 2.5
EE
400000
600000
N/A
p
estimate
genuine
7.4
2007-2018 - -31 | -21 | (N/A) 1983-2018 = 0 | 6 | (N/A) 54600 2.4 2007-2018 = -3 | -1 | (N/A) 1980-2018 = 1 | 3 | (N/A) 27400 1.2
ES
261473
532107
392667
p
estimate
knowledge
5.8
2007-2018 + N/A 1980-2018 + N/A 41063 1.8 2007-2018 + N/A 1980-2018 F N/A 42100 1.9
FI
524403
846795
663618
p
mean
genuine
9.8
2007-2018 - 29 | 39 | (34) 1980-2018 - 11 | 30 | (21) 241500 10.5 N/A N/A N/A 1980-2010 + 13 | 13 | (N/A) 241300 10.7
FR
500000
900000
N/A
p
estimate
method
10.4
2007-2018 - N/A | N/A | (-29) 2001-2018 - N/A | N/A | (-32) 318000 13.9 2013-2018 = -16 | N/A | (N/A) 1989-2018 - -15 | -5 | (N/A) 314500 13.9
GR
10
50
N/A
p
estimate
knowledge
2007-2018 x N/A 1980-2018 x N/A 28900 1.3 2007-2018 x N/A 1980-2018 x N/A 27800 1.2
HR
N/A
N/A
100
p
minimum
N/A
2007-2018 x N/A 1980-2018 x N/A 1000 2007-2018 x N/A 1980-2018 x N/A 1000
HU
300
800
N/A
p
estimate
knowledge
#
2007-2018 = N/A 1999-2018 - N/A | N/A | (-89) # 9938 0.4 2007-2018 = N/A 1980-2018 - -20 | 0 | (N/A) # 10500 0.5
IE
40
60
N/A
p
estimate
noInfo
2011-2018 = N/A 1991-2018 = N/A # 1500 # 2011-2018 + N/A | N/A | (25) 1991-2018 = N/A # 1500
IT
30000
60000
N/A
p
estimate
noChange
0.7
2012-2017 - -40 | -25 | (N/A) 1993-2018 + 20 | 200 | (N/A) 34500 1.5 2007-2018 = N/A 1993-2018 = N/A 33800 1.5
LT
200000
350000
N/A
p
estimate
noChange
4.1
2013-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 73500 3.2 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 71400 3.1
LU
3000
4000
N/A
p
estimate
noChange
#
2007-2018 = 0 | 0 | (N/A) 1980-2018 x N/A 1263 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2400 0.1
LV
277382
382947
325918
p
interval
method
4.8
2005-2018 + 10.2 | 79.2 | (40.9) 1995-2018 = -13.18 | 98.81 | (N/A) 64200 2.8 2000-2017 = N/A | N/A | (-7) 1980-2017 = N/A | N/A | (17) 62200 2.7
NL
80000
140000
N/A
p
estimate
knowledge
1.6
2006-2017 = -13 | 1 | (-6) 1984-2017 - -24 | -4 | (-15) 44200 1.9 2000-2015 = N/A | N/A | (-1.55) 1977-2015 = N/A | N/A | (0.45) 40300 1.8
PL
374000
512000
N/A
p
interval
genuine
6.6
2007-2018 - -40 | -20 | (-31) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
100
500
N/A
p
estimate
noChange
#
2007-2018 x N/A 1980-2018 x N/A 1400 # 2005-2018 - N/A | N/A | (-61) 1980-2018 x N/A # 1400
RO
188386
354318
N/A
p
interval
method
4.0
2008-2018 u -3 | 12 | (N/A) 1980-2018 x N/A 59100 2.6 2007-2018 x N/A 1980-2018 x N/A 59100 2.6
SE
696000
1630000
1168000
p
estimate
noChange
17.3
2007-2018 = -9 | 1 | (-4) 1980-2018 - -22 | -9 | (-16) 480700 21.0 2007-2018 = N/A 1980-2018 = N/A 479800 21.2
SI
400
800
N/A
p
estimate
genuine
2007-2018 - N/A | N/A | (-50) 1980-2018 x N/A 1700 # 2007-2018 - -30 | -10 | (N/A) 1980-2018 - N/A | N/A | (-68) # 1500
SK
200000
400000
N/A
p
estimate
noChange
4.5
2007-2018 = N/A 1980-2018 = N/A 44282 1.9 2007-2018 = N/A 1980-2018 - N/A | N/A | (-60) 49300 2.2
UK
N/A
N/A
143676
p
estimate
genuine
#
2.1
2004-2016 = N/A | N/A | (-6.92) 1980-2016 = N/A | N/A | (8.94) # 208300 9.1 1989-2009 + 10.62 | 10.62 | (N/A) 1970-2009 + 12.84 | 12.84 | (N/A) 207300 9.2
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 4810000 8170000 p - - 2230000 NE NE Declining C B Secure Sylvia borin