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, Buteo buteo. 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 estimatePartial
EE estimatePartial
ES estimatePartial
ESIC estimatePartial
FI estimatePartial
FR completeSurvey
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE estimatePartial
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
PTAC completeSurvey
PTMA estimatePartial
RO completeSurvey
SE estimatePartial
SI estimatePartial
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
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 estimatePartial
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
PTAC estimatePartial
PTMA completeSurvey
RO completeSurvey
SE estimatePartial
SI absentData
SK estimatePartial
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
PT
PTAC
PTMA
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
genuine
2.3
2007-2018 + N/A | N/A | (10) 1981-2018 x N/A 90300 2.6 2007-2018 = N/A | N/A | (9) 1981-2018 x N/A 83100 2.4
BE
8000
17900
12900
p
estimate
genuine
1.8
2008-2018 = -10 | 19 | (4) 1973-2018 + 452 | 1134 | (790) # 30659 # 0.9 2008-2018 = N/A | N/A | (4.28) 1973-2018 + N/A | N/A | (51.86) 31700 0.9
BG
2400
4200
N/A
p
estimate
noChange
0.5
2001-2018 = 0 | 0 | (N/A) 1980-2018 x N/A 105967 3.0 2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 109800 3.1
CZ
10000
15000
N/A
p
estimate
noChange
#
1.8
2007-2018 = N/A | N/A | (-1) 1982-2018 + N/A | N/A | (1) # 84000 2.4 2002-2016 = N/A | N/A | (0.15) 1986-2016 = N/A | N/A | (0) # 79700 2.3
DE
68000
115000
N/A
p
mean
genuine
13.0
2004-2016 - N/A | N/A | (-15) 1985-2016 = N/A | N/A | (-1) 354655 10.2 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 369100 10.6
DK
N/A
N/A
4150
p
estimate
genuine
#
0.6
2006-2017 - -33.52 | -1.58 | (-18.98) 1980-2017 + 25.43 | 81.37 | (50.9) # 53200 1.5 1996-2017 = N/A | N/A | (3.9) 1974-2017 + N/A | N/A | (30.39) # 53000 1.5
EE
7000
9000
N/A
p
estimate
knowledge
1.1
2007-2018 = -8 | 12 | (N/A) 1987-2018 = -21 | 32 | (N/A) 50300 1.4 2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (-1) 32500 0.9
ES
31010
31400
N/A
p
interval
noChange
#
4.4
1998-2016 = N/A | N/A | (8.29) 1980-2016 = N/A 235760 6.8 1998-2016 = N/A 1980-2016 = N/A # 247100 7.1
ESIC
250
1000
N/A
p
minimum
noInfo
#
2007-2018 x N/A 1980-2018 x N/A # 9200 0.3 2007-2018 x N/A 1980-2018 x N/A # 8300 0.2
FI
3601
4583
4018
p
interval
noChange
0.6
2007-2018 - 7 | 27 | (18) 1982-2018 - 42 | 52 | (47) 143200 4.1 N/A N/A N/A 1980-2010 - 23 | 23 | (N/A) 143100 4.1
FR
181424
213135
197150
p
interval
method
27.9
2000-2017 + 8 | 30 | (18) 1980-2017 + 100 | 200 | (N/A) 528600 15.1 2008-2018 = N/A | N/A | (0) 1985-2018 + N/A | N/A | (3) 524400 15.0
GR
4000
8000
N/A
p
estimate
knowledge
0.8
2007-2018 = N/A | N/A | (0) 1980-2018 = 0 | 0 | (N/A) 200300 5.7 2007-2018 x N/A 1980-2018 x N/A 197200 5.7
HR
11000
50000
N/A
p
estimate
N/A
4.3
2007-2018 x N/A 1980-2018 x N/A 55468 1.6 2007-2018 x N/A 1980-2018 x N/A 70600 2.0
HU
18000
24000
N/A
p
interval
knowledge
#
3.0
2007-2018 = N/A 1980-2018 + 50 | 200 | (N/A) # 93030 2.7 2007-2018 = N/A 1980-2018 + 0 | 10 | (N/A) # 94600 2.7
IE
N/A
N/A
1938
p
estimate
genuine
#
0.3
2011-2019 + N/A | N/A | (29.2) 1980-2019 + N/A | N/A | (48350) # 32200 # 0.9 2008-2019 + N/A | N/A | (25.3) 1972-2019 + N/A | N/A | (10967) # 31400 0.9
IT
5000
9000
N/A
p
estimate
genuine
1.0
2000-2014 + 5 | 15 | (N/A) 1993-2018 + 80 | 100 | (N/A) 272200 7.8 2007-2018 = N/A 1993-2018 + 55 | 60 | (N/A) 271100 7.8
LT
5000
7000
N/A
p
estimate
genuine
0.8
2013-2018 - -10 | 0 | (N/A) 1980-2018 - -5 | 0 | (N/A) 73500 2.1 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 71100 2.0
LU
800
1200
N/A
p
estimate
noChange
#
0.1
2007-2018 = 0 | 10 | (N/A) 1980-2018 = 0 | 10 | (N/A) 1897 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2400
LV
17301
29720
22675
p
interval
method
3.2
2007-2018 - -48.05000 | -3.74 | (-28.95) 1995-2018 - -78.43 | -17.01000 | (N/A) 66800 1.9 2000-2017 = N/A | N/A | (-8) 1980-2017 = N/A | N/A | (9) 65100 1.9
NL
10000
17000
N/A
p
estimate
knowledge
1.9
2006-2017 + 15 | 31 | (23) 1984-2017 + 189 | 458 | (302) 44000 1.3 2000-2015 = N/A | N/A | (2.8) 1977-2015 + N/A | N/A | (89.65) 40200 1.1
PL
48000
55000
N/A
p
mean
genuine
7.3
2007-2018 - -17 | -1 | (-10) 1980-2018 + 20 | 40 | (N/A) # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
5000
10000
N/A
p
estimate
noChange
#
1.1
2004-2018 - N/A 1980-2018 x N/A # 78900 # 2.3 2005-2018 = N/A | N/A | (-13) 1980-2018 = N/A # 77600 2.2
PTAC
N/A
N/A
1890
p
estimate
genuine
#
0.3
2007-2018 = N/A 1980-2018 x N/A # 6600 # 0.2 2008-2018 = N/A | N/A | (0) 1980-2018 x N/A # 6600 0.2
PTMA
N/A
500
1
p
estimate
knowledge
#
2008-2018 = N/A 1980-2018 = N/A # 1900 2001-2018 = N/A 1980-2018 x N/A 1800
RO
N/A
N/A
28415
p
Minimum
N/A
#
4.0
2008-2018 u -9 | 3 | (N/A) 1980-2018 x N/A 201600 5.8 2007-2018 = N/A 1980-2018 x N/A 199600 5.7
SE
17000
45000
31000
p
estimate
noChange
4.4
2007-2018 = -7 | 20 | (6) 1980-2018 + 16 | 78 | (44) 342300 9.8 2007-2018 = N/A 1980-2018 = N/A 341900 9.8
SI
5000
8000
N/A
p
interval
noChange
0.9
2008-2016 = N/A 1980-2017 = N/A 16200 0.5 2007-2018 x N/A 1980-2018 + N/A | N/A | (29) # 13900 0.4
SK
10000
15000
N/A
p
estimate
noChange
1.8
2007-2018 = N/A 1980-2018 = N/A 49019 1.4 2007-2018 = N/A 1980-2018 = N/A 52000 1.5
UK
63121
87389
N/A
p
interval
noChange
10.7
2004-2016 + N/A | N/A | (30.07000) 1980-2016 + N/A | N/A | (314.67) # 272900 7.8 1989-2009 + 68.56 | 68.56 | (N/A) 1970-2009 + 88.73 | 88.73 | (N/A) 271700 7.8
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 551000 807000 p = + 3290000 NE NE Secure A B Secure Buteo buteo