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, Phoenicurus phoenicurus. 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 estimatePartial
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU estimatePartial
IE estimatePartial
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 completeSurvey
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 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
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
13000
20000
N/A
p
estimate
noChange
0.5
2007-2018 = N/A | N/A | (10) 1981-2018 x N/A 57800 2.4 2007-2018 = N/A | N/A | (3) 1981-2018 x N/A 55800 2.4
BE
4200
6600
5400
p
estimate
method
#
0.2
2008-2018 + 45 | 221 | (112) 1973-2018 u -9 | 43 | (17) # 29858 # 1.3 2008-2018 + N/A | N/A | (24.21) 1973-2018 = N/A 30100 1.3
BG
2000
5000
N/A
p
estimate
noChange
0.1
2000-2018 - -30 | -20 | (N/A) 1980-2018 = 5 | 10 | (N/A) 14859 0.6 2000-2018 = 5 | 10 | (N/A) 1980-2018 = 5 | 10 | (N/A) 16000 0.7
CZ
40000
80000
N/A
p
estimate
noChange
#
1.9
2007-2018 = N/A | N/A | (-1) 1982-2018 + N/A | N/A | (2) # 76000 3.2 2002-2016 = N/A | N/A | (1.67) 1986-2016 = N/A | N/A | (7.62) # 74300 3.2
DE
91000
155000
N/A
p
estimate
genuine
3.8
2004-2016 + 31 | 75 | (51) 1980-2016 + N/A | N/A | (52) 324107 13.7 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 339100 14.4
DK
N/A
N/A
113905
p
estimate
genuine
#
3.5
2006-2017 + 129.7 | 240.19 | (179.99) 1980-2017 + 150.62 | 309.67 | (220.68) # 57300 2.4 1996-2017 + N/A | N/A | (15.99) 1974-2017 + N/A | N/A | (30.52) # 57100 2.4
EE
20000
30000
N/A
p
estimate
noChange
0.8
2007-2018 + -6 | 44 | (N/A) 1983-2018 + 92 | 210 | (N/A) 43400 1.8 2007-2018 = 3 | 5 | (N/A) 1980-2018 = 0 | 3 | (N/A) 21700 0.9
ES
58500
132000
N/A
p
interval
noChange
3.0
2007-2018 = N/A 1996-2018 + N/A | N/A | (4.9) # 49684 2.1 2007-2018 = N/A 1996-2018 + N/A | 255.6 | (N/A) 51700 2.2
FI
465384
689546
606205
p
mean
genuine
18.8
2007-2018 = -14 | 1 | (-7) 1980-2018 + 26 | 84 | (52) 313700 13.2 N/A N/A N/A 1980-2010 + 11 | 11 | (N/A) 313100 13.3
FR
100000
200000
N/A
p
estimate
noChange
4.7
2007-2018 + N/A | N/A | (28.6) 2001-2018 + N/A | N/A | (78) 318000 # 13.4 2007-2017 + 1 | 15 | (N/A) 1985-2013 + N/A 316200 13.4
GR
2000
5000
N/A
p
estimate
noChange
0.1
2007-2018 = N/A | N/A | (0) 1980-2018 = 0 | 0 | (N/A) 52800 2.2 2007-2018 x N/A 1980-2018 x N/A 50900 2.2
HR
5000
10000
N/A
p
estimate
N/A
0.2
2007-2018 x N/A 1980-2018 x N/A 1700 2007-2018 x N/A 1980-2018 x N/A 1700
HU
60
180
N/A
p
estimate
genuine
#
2007-2018 - N/A 1980-2018 - N/A | N/A | (-99) 5284 # 0.2 2007-2018 x N/A 1980-2018 - N/A | N/A | (-57) # 5700 0.2
IE
1
5
N/A
p
estimate
noInfo
2012-2018 = N/A 1991-2018 = N/A 200 2011-2018 = N/A 1972-2018 - N/A | N/A | (-67) # 200
IT
100000
300000
N/A
p
estimate
noChange
6.2
2000-2014 + 45 | 60 | (N/A) 1993-2018 + 230 | 500 | (N/A) 183100 7.7 2007-2018 + 15 | 20 | (N/A) 1993-2018 + 55 | 60 | (N/A) 181800 7.7
LT
60000
80000
N/A
p
estimate
genuine
2.2
2013-2018 + 15 | 50 | (N/A) 1980-2018 + 10 | 20 | (N/A) 30000 1.3 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 29500 1.2
LU
400
500
N/A
p
estimate
noChange
#
2007-2018 = 0 | 10 | (N/A) 1980-2018 - -30 | -10 | (N/A) 930 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2500 0.1
LV
31914
58795
43318
p
interval
method
1.3
2005-2018 + 5.8 | 221.9 | (86.7) 1991-2016 - N/A | N/A | (-44) 50800 2.1 2000-2017 + N/A | N/A | (26) 1980-2017 + N/A | N/A | (26) 50200 2.1
NL
19000
23000
N/A
p
estimate
knowledge
0.7
2006-2017 + 65 | 100 | (82) 1984-2017 = -2 | 52 | (22) # 35500 1.5 2000-2015 = N/A | N/A | (-3.79) 1977-2015 - N/A | N/A | (-10.12) 32500 1.4
PL
438000
547000
N/A
p
interval
genuine
15.3
2007-2018 + 57 | 108 | (81) 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
noChange
#
2007-2018 u N/A 1980-2018 x N/A # 15100 # 0.6 2005-2018 = N/A | N/A | (-4) 1980-2018 = N/A # 15100 0.6
RO
62229
207830
N/A
p
interval
method
4.2
2008-2018 u -5 | 15 | (N/A) 1980-2018 x N/A 92600 3.9 2007-2018 x N/A 1980-2018 x N/A 92400 3.9
SE
543000
1267000
905000
p
estimate
noChange
28.1
2007-2018 = -1 | 13 | (6) 1980-2018 + 15 | 59 | (35) 482600 20.4 2007-2018 = N/A 1980-2018 = N/A 479500 20.4
SI
4700
6900
N/A
p
estimate
genuine
0.2
2008-2018 + N/A | N/A | (61.3) 1980-2018 x N/A 10200 # 0.4 2007-2018 x N/A 1980-2018 + N/A | N/A | (48) # 9700 0.4
SK
1600
3200
N/A
p
estimate
genuine
2007-2018 - N/A | N/A | (-20) 1980-2018 - -80 | -60 | (N/A) # 9905 0.4 2007-2018 - -60 | -30 | (N/A) 1980-2018 - -80 | -40 | (N/A) 10700 0.5
UK
96824
171576
134200
p
interval
genuine
4.2
2004-2016 + N/A | N/A | (39.85) 1980-2016 + N/A | N/A | (82.28) # 114400 4.8 1989-2009 - -13.86 | -13.86 | (N/A) 1970-2009 - -31.04000 | -31.04000 | (N/A) 113100 4.8
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 2210000 3920000 p + + 2270000 NE NE Secure A B Secure Phoenicurus phoenicurus