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, Phylloscopus trochilus. 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
CZ completeSurvey
DE completeSurvey
DK estimatePartial
EE estimateExpert
ES completeSurvey
FI completeSurvey
FR estimatePartial
HR estimateExpert
HU estimateExpert
IE completeSurvey
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
RO estimateExpert
SE estimatePartial
SI completeSurvey
SK estimatePartial
UK completeSurvey
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
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR completeSurvey
HR estimateExpert
HU completeSurvey
IE completeSurvey
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
RO absentData
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
CZ
DE
DK
EE
ES
FI
FR
HR
HU
IE
LT
LU
LV
NL
PL
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
25000
45000
N/A
p
estimate
knowledge
0.1
2007-2018 = N/A | N/A | (6) 1981-2018 x N/A 63500 2.8 2007-2018 = N/A | N/A | (6) 1981-2018 x N/A 59700 2.6
BE
28200
51300
39700
p
estimate
genuine
0.1
2008-2018 - -52 | -27 | (-41) 1973-2018 - -78 | -61 | (-69) # 30652 # 1.3 2008-2018 = N/A 1973-2018 = N/A 31400 1.4
CZ
450000
900000
N/A
p
estimate
noChange
#
2.2
2007-2018 - N/A | N/A | (-2) 1982-2018 - N/A | N/A | (-2) # 82900 3.6 2002-2016 = N/A | N/A | (0.8) 1986-2016 = N/A | N/A | (1.13) # 77900 3.4
DE
790000
1200000
N/A
p
estimate
genuine
3.3
2004-2016 - -22 | -11 | (-16) 1980-2016 - N/A | N/A | (-48) 356583 15.6 2004-2016 = -10 | 10 | (0) 1980-2016 = -30 | 40 | (0) 372200 16.4
DK
N/A
N/A
298645
p
estimate
genuine
#
1.0
2006-2017 - -44.16 | -26.01000 | (-35.67) 1980-2017 - -72.96 | -67.67 | (-70.43) # 58300 2.5 1996-2017 = N/A | N/A | (0.17) 1974-2017 = N/A | N/A | (-0.51) # 58000 2.6
EE
500000
600000
N/A
p
estimate
genuine
1.8
2007-2018 - -44 | -43 | (N/A) 1983-2018 - -55 | -52 | (N/A) 56500 2.5 2007-2018 = -1 | 1 | (N/A) 1980-2018 = 2 | 4 | (N/A) 33600 1.5
ES
N/A
N/A
60
p
minimum
noChange
2007-2018 x N/A 1980-2018 x N/A 300 2007-2018 x N/A 1980-2018 x N/A 300
FI
6748688
7935556
7444401
p
mean
genuine
24.5
2007-2018 + 1 | 8 | (4) 1980-2018 - 29 | 38 | (33) 355600 15.5 N/A N/A N/A 1980-2010 + 4 | 4 | (N/A) 354900 15.7
FR
100000
200000
N/A
p
estimate
knowledge
0.5
2007-2018 - N/A | N/A | (-48.35) 2001-2018 - N/A | N/A | (-53) # 167000 7.3 2009-2017 - -15 | -5 | (N/A) 1985-2012 - -25 | -15 | (N/A) # 164700 7.3
HR
25
150
N/A
p
estimate
N/A
2007-2018 x N/A 1980-2018 x N/A 200 2007-2018 x N/A 1980-2018 x N/A 200
HU
15000
20000
N/A
p
estimate
N/A
#
2007-2018 u N/A | N/A | (43) 1980-2018 = N/A # 24914 # 1.1 2007-2018 = N/A 1980-2018 = N/A 25400 1.1
IE
1329439
2160953
1721483
i
interval
genuine
#
N/A
2006-2016 + 37.7 | 52.5 | (44.9) 1980-2016 x N/A # 82200 3.6 2006-2016 + N/A | N/A | (18) 1972-2016 + N/A | N/A | (21.1) # 81200 3.6
LT
100000
200000
N/A
p
estimate
knowledge
0.5
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) 71300 3.1
LU
8000
10000
N/A
p
estimate
noChange
#
2007-2018 - -20 | -10 | (N/A) 1980-2018 x N/A # 1087 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2400 0.1
LV
558242
726862
636506
p
interval
method
2.1
2005-2018 = -24.3 | 9 | (-9.1) 1991-2016 = 16 | 17 | (N/A) 68400 3.0 2000-2017 = N/A | N/A | (-4) 1980-2017 = N/A | N/A | (8) 66500 2.9
NL
150000
250000
N/A
p
estimate
knowledge
0.7
2006-2017 - -17 | -5 | (-11) 1984-2017 - -28 | -12 | (-20) 44600 1.9 2000-2015 = N/A | N/A | (-2.4) 1977-2015 = N/A | N/A | (-1.54) 40900 1.8
PL
2939000
3311000
N/A
p
interval
genuine
10.3
2007-2018 = -5 | 8 | (1) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
RO
5000
50000
N/A
p
estimate
noChange
2008-2018 u -9 | 6 | (N/A) 1980-2018 x N/A 5300 0.2 2007-2018 x N/A 1980-2018 x N/A 5300 0.2
SE
7930000
18460000
13210000
p
estimate
noChange
43.5
2007-2018 - -10 | -4 | (-7) 1980-2018 - -46 | -40 | (-43) 490100 21.4 2007-2018 = N/A 1980-2018 = N/A 486800 21.5
SI
300
400
N/A
p
estimate
noChange
#
2008-2018 x N/A 1980-2018 x N/A 1000 # 2007-2018 x N/A 1980-2018 = N/A | N/A | (4) # 1000
SK
400000
600000
N/A
p
estimate
noChange
1.6
2007-2018 = N/A 1980-2018 = N/A 49020 2.1 2007-2018 = N/A 1980-2018 = N/A 53400 2.4
UK
N/A
N/A
2308146
p
interval
genuine
#
7.6
2004-2016 = N/A | N/A | (9.48) 1980-2016 - N/A | N/A | (-41.15) # 280900 12.2 1989-2009 = 2.29 | 2.29 | (N/A) 1970-2009 = 2.86 | 2.86 | (N/A) 279800 12.3
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 24600000 41500000 p = - 2280000 NE NE Depleted B B Declining Phylloscopus trochilus