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, Regulus regulus. 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
ESIC estimateExpert
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE completeSurvey
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
PTAC 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
ESIC absentData
FI completeSurvey
FR completeSurvey
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PTAC 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
ESIC
FI
FR
GR
HR
HU
IE
IT
LT
LU
LV
NL
PL
PTAC
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
250000
400000
N/A
p
estimate
noChange
2.6
2007-2018 = N/A | N/A | (1) 1981-2018 x N/A 82600 3.6 2007-2018 = N/A | N/A | (10) 1981-2018 x N/A 77800 3.5
BE
50100
77700
63900
p
estimate
genuine
0.5
2008-2018 - -38 | -3 | (-23) 1973-2018 - -50 | -22 | (-36) # 30363 # 1.3 2008-2018 + N/A | N/A | (19.25) 1973-2018 = N/A 31300 1.4
BG
80000
150000
N/A
p
estimate
noChange
0.9
2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 15251 0.7 2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 15600 0.7
CZ
190000
360000
N/A
p
estimate
noChange
#
2.2
2007-2018 - N/A | N/A | (-5) 1982-2018 - N/A | N/A | (-4) # 75300 3.3 2002-2016 = N/A | N/A | (0.17) 1986-2016 = N/A | N/A | (1.56) # 71300 3.2
DE
910000
1350000
N/A
p
estimate
genuine
9.1
2004-2016 - -33 | -10 | (-23) 1980-2016 - N/A | N/A | (-23) # 347088 15.2 2004-2016 = -10 | 10 | (0) 1980-2016 = -30 | 40 | (0) 358700 15.9
DK
N/A
N/A
108094
p
estimate
genuine
#
0.9
2006-2017 = -54.21 | 25.86 | (-23.27) 1980-2017 - -57.8 | -26.21 | (-44.14) # 52100 2.3 1996-2017 = N/A | N/A | (-3.87) 1974-2017 = N/A | N/A | (-0.77) # 52000 2.3
EE
200000
300000
N/A
p
estimate
genuine
2.0
2007-2018 - -43 | -42 | (N/A) 1983-2018 - -78 | -72 | (N/A) 50700 2.2 2007-2018 = -3 | 0 | (N/A) 1980-2018 = 7 | 9 | (N/A) 21200 0.9
ES
170000
580000
N/A
p
estimate
noChange
3.0
2007-2018 - -34.4 | N/A | (N/A) 1980-2018 u N/A 18554 0.8 2007-2018 = N/A 1980-2018 = N/A 18300 0.8
ESIC
10000
20000
N/A
p
minimum
noInfo
#
0.1
2007-2018 x N/A 1980-2018 x N/A # 3100 0.1 2007-2018 x N/A 1980-2018 x N/A # 3600 0.2
FI
782597
1481232
1176892
p
mean
genuine
9.4
2007-2018 = -6 | 12 | (2) 1980-2018 - 2 | 31 | (18) 229600 10.1 N/A N/A N/A 1980-2010 + 34 | 34 | (N/A) 229600 10.2
FR
500000
800000
N/A
p
estimate
knowledge
5.2
2007-2018 = N/A | N/A | (-6.5) 2001-2018 - N/A | N/A | (-41) 243700 10.7 2009-2017 = N/A 1985-2017 - -15 | -10 | (N/A) 241300 10.7
GR
1000
5000
N/A
p
estimate
noChange
2007-2018 = N/A | N/A | (0) 1980-2018 x N/A 52100 2.3 2007-2018 x N/A 1980-2018 x N/A 48500 2.2
HR
40000
60000
N/A
p
estimate
N/A
0.4
2007-2018 x N/A 1980-2018 x N/A 13700 0.6 2007-2018 x N/A 1980-2018 x N/A 13500 0.6
HU
5000
12000
N/A
p
interval
knowledge
#
2007-2018 = N/A 1980-2018 x N/A # 8051 0.3 2007-2018 = N/A 1980-2018 x N/A 8400 0.4
IE
436715
805617
601806
i
interval
genuine
#
N/A
2006-2016 = -9.4 | 4.8 | (-2.6) 1980-2016 x N/A # 78000 3.4 2006-2016 + N/A | N/A | (15) 1972-2016 + N/A | N/A | (15.6) # 77100 3.4
IT
300000
500000
N/A
p
estimate
noChange
3.2
2000-2014 - -20 | -5 | (N/A) 1993-2018 + 25 | 50 | (N/A) 56600 2.5 2007-2018 + 20 | 25 | (N/A) 1993-2018 + 25 | 30 | (N/A) 55700 2.5
LT
200000
400000
N/A
p
estimate
knowledge
2.4
2013-2018 - -5 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 32100 1.4 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 31700 1.4
LU
10000
12000
N/A
p
estimate
noChange
#
2007-2018 = 0 | 10 | (N/A) 1980-2018 x N/A 863 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2500 0.1
LV
248913
417652
322427
p
interval
method
2.6
2005-2018 = -1.2 | 75.3 | (32) 1991-2016 - -46 | -45 | (N/A) 61800 2.7 2000-2017 = N/A | N/A | (-1) 1980-2017 x N/A 61000 2.7
NL
45000
75000
N/A
p
estimate
knowledge
0.5
2006-2017 + 14 | 38 | (25) 1984-2017 + 42 | 110 | (73) 29800 1.3 2000-2015 = N/A | N/A | (4.19) 1977-2015 + N/A | N/A | (12.87) 26900 1.2
PL
522000
811000
N/A
p
interval
method
5.3
2007-2018 = -22 | 8 | (-8) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PTAC
45517
307960
141325
p
mean
method
#
1.1
2007-2017 x N/A 1980-2018 x N/A # 4500 # 0.2 2008-2018 - N/A | N/A | (14.4) 1980-2018 x N/A # 4500 0.2
RO
615604
1135975
N/A
p
interval
method
7.0
2008-2018 u -1 | 22 | (N/A) 1980-2018 x N/A 50300 2.2 2007-2018 = N/A 1980-2018 x N/A 50300 2.2
SE
3609000
4146000
3880000
p
estimate
genuine
31.1
2007-2018 + 21 | 39 | (30) 1980-2018 - -68 | -58 | (-63) 449100 19.6 2007-2018 = N/A 1980-2018 = N/A 448700 19.9
SI
118100
258300
N/A
p
estimate
method
1.5
2008-2018 u N/A | N/A | (118) 1980-2018 x N/A 7000 # 0.3 2007-2018 x N/A 1980-2018 + N/A | N/A | (48) # 6500 0.3
SK
200000
400000
N/A
p
estimate
noChange
2.4
2007-2018 = N/A 1980-2018 = N/A 32849 1.4 2007-2018 = N/A 1980-2018 = N/A 35700 1.6
UK
N/A
N/A
788292
p
estimate
genuine
#
6.3
2004-2016 - N/A | N/A | (-12.04000) 1980-2016 - N/A | N/A | (-11.25) # 260200 11.4 1989-2009 + 5.69 | 5.69 | (N/A) 1970-2009 = 4.79 | 4.79 | (N/A) 258600 11.5
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 10600000 17100000 p = - 2340000 NE NE Depleted B B Near Threatened Regulus regulus