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, Aegolius funereus. 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 estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI estimatePartial
FR estimateExpert
GR estimatePartial
HR estimateExpert
IT estimateExpert
LT estimatePartial
LU estimateExpert
LV completeSurvey
PL estimateExpert
RO estimateExpert
SE estimatePartial
SI estimatePartial
SK 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 estimateExpert
GR estimatePartial
HR estimateExpert
IT estimatePartial
LT estimatePartial
LU absentData
LV estimatePartial
PL absentData
RO completeSurvey
SE estimatePartial
SI absentData
SK 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
IT
LT
LU
LV
PL
RO
SE
SI
SK
Max
Best value Unit Type est. Change % MS ST period ST direction ST magnitude LT period LT direction LT magnitude Status Distrib. % MS
AT
2000
3000
N/A
p
estimate
noChange
4.2
2007-2018 = N/A | N/A | (0) 1981-2018 x N/A 21100 2.2 2007-2018 + N/A | N/A | (10) 1981-2018 = N/A | N/A | (0) 20700 2.2
BE
3
40
20
p
mean
noChange
2008-2018 F -95 | 95 | (N/A) 1973-2018 + -78 | 789 | (344) # 3943 # 0.4 2008-2018 + N/A | N/A | (146.44) 1973-2018 + N/A | N/A | (214.94) 3600 0.4
BG
700
1200
N/A
p
estimate
knowledge
1.6
2000-2018 x N/A 1980-2018 = 5 | 10 | (N/A) # 9755 1.0 2000-2018 = 5 | 10 | (N/A) 1980-2018 + 10 | 30 | (N/A) # 10000 1.1
CZ
1500
2000
N/A
p
estimate
noChange
3.0
2007-2018 = N/A 1980-2018 + N/A | N/A | (20) # 36900 3.9 2002-2016 + N/A | N/A | (42.3) 1986-2016 + N/A | N/A | (128.08000) # 35800 3.8
DE
3300
6000
N/A
p
estimate
noChange
7.8
2004-2016 = N/A | N/A | (-2) 1985-2016 + N/A | N/A | (25) # 107968 11.3 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 110800 11.7
DK
N/A
N/A
5
p
estimate
noChange
#
2006-2017 + N/A | N/A | (600) 1980-2017 u N/A | N/A | (600) # 1200 0.1 1996-2017 + N/A | N/A | (500) 1974-2017 + N/A # 1100 0.1
EE
100
200
N/A
p
estimate
knowledge
#
0.2
2007-2018 = N/A 1987-2018 - -220 | 7 | (N/A) 10200 1.1 2007-2018 = N/A | N/A | (6) 1980-2018 - N/A | N/A | (-43) 10200 1.1
ES
N/A
N/A
150
p
estimate
noChange
#
0.2
2000-2018 = N/A 1980-2018 = N/A 2106 0.2 2000-2018 - N/A | N/A | (-44.7) 1980-2018 + N/A | N/A | (950) 2400 0.2
FI
1865
4181
2923
p
estimate
genuine
4.9
2007-2018 - 34 | 57 | (47) 1982-2018 - 51 | 65 | (60) 156500 16.4 N/A N/A N/A 1980-2010 - 19 | 19 | (N/A) 156300 16.5
FR
100
800
N/A
p
estimate
knowledge
0.8
2007-2017 x N/A 1989-2017 F -80 | 500 | (N/A) # 46500 4.9 2007-2018 = 0 | 5 | (1) 1990-2018 x N/A 46000 4.8
GR
10
100
N/A
p
estimate
noChange
2007-2018 = N/A | N/A | (0) 1980-2018 x N/A 25300 # 2.7 2007-2018 x N/A 1980-2018 x N/A 18900 2.0
HR
400
700
N/A
p
estimate
N/A
0.9
2007-2018 x N/A 1980-2018 x N/A 5816 0.6 2007-2018 x N/A 1980-2018 x N/A 9400 1.0
IT
1500
3500
N/A
p
estimate
noChange
4.2
2007-2018 x N/A 1993-2018 + 15 | 50 | (N/A) 20500 2.1 2007-2018 - -10 | -5 | (N/A) 1993-2018 + 10 | 15 | (N/A) 20400 2.1
LT
500
700
N/A
p
estimate
noChange
1.0
2013-2018 = N/A | N/A | (0) 1980-2018 + 10 | 30 | (N/A) 5400 0.6 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 5400 0.6
LU
0
1
N/A
p
estimate
noChange
#
2007-2018 x N/A 1980-2018 x N/A # 5 # 2007-2018 x N/A 1980-2018 x N/A | N/A | (0) # 100
LV
1088
3651
1991
p
interval
knowledge
3.4
2007-2018 u -80 | 980 | (77) 1990-2018 - -98 | -70 | (-92) 7800 0.8 2000-2017 - N/A | N/A | (-6) 1980-2017 + N/A | N/A | (312) # 7800 0.8
PL
1200
2400
N/A
p
estimate
noChange
3.0
2010-2018 = -31 | 45 | (1) 1980-2018 + 20 | 30 | (N/A) # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
RO
3000
5000
N/A
p
estimate
knowledge
6.8
2007-2018 x N/A 1980-2018 x N/A 27600 2.9 2007-2018 x N/A 1980-2018 x N/A 27600 2.9
SE
1700
91000
32000
p
mean
noChange
54.0
2007-2018 F -50 | 150 | (N/A) 1980-2018 - -50 | -10 | (-30) 446600 46.9 2007-2018 = N/A 1980-2018 = N/A 445400 46.9
SI
450
850
N/A
p
estimate
noChange
1.1
2002-2017 F N/A 1980-2017 = N/A 2300 # 0.2 2007-2018 x N/A 1980-2018 + N/A | N/A | (237) # 2200 0.2
SK
1400
1800
N/A
p
estimate
knowledge
2.7
2007-2018 = N/A 1980-2018 = N/A 14921 1.6 2007-2018 = N/A 1980-2018 = N/A 15700 1.6
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 17900 123000 p F - 924000 NE NE Depleted B B Secure Aegolius funereus