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.

Warning: The map does not show the distribution for sensitive species in GR

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.

Sensitive spatial information for this species is not shown in the map. Current selection: 2013-2018, Botaurus stellaris. 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 completeSurvey
BG estimatePartial
CZ completeSurvey
DE completeSurvey
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI estimatePartial
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU estimatePartial
IT estimateExpert
LT estimatePartial
LU
LV estimatePartial
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO estimateExpert
SE completeSurvey
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
BG completeSurvey
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR completeSurvey
GR estimatePartial
HR estimatePartial
HU completeSurvey
IT estimatePartial
LT estimatePartial
LU
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
RO estimatePartial
SE estimatePartial
SI completeSurvey
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 estimatePartial
BG estimatePartial
CZ
DE estimatePartial
DK
EE
ES
FI
FR estimateExpert
GR
HR estimateExpert
HU
IT
LT
LU completeSurvey
LV
NL
PL
PT
RO
SE
SI
SK
UK estimatePartial
Max
Best value Unit Type est. Change % MS ST period ST direction ST magnitude LT period LT direction LT magnitude Status Distrib. % MS
AT
110
170
N/A
cmales
estimate
genuine
#
0.9
2007-2013 - -60 | -40 | (N/A) 1981-2018 x N/A 1200 0.3 2007-2018 = N/A | N/A | (0) 1981-2018 + 15 | 30 | (N/A) 1000 0.2
BE
20
31
26
cmales
estimate
genuine
0.2
2008-2018 + -7 | 44 | (21) 1973-2018 - -68 | -50 | (-58) 2048 # 0.5 2008-2018 + N/A | N/A | (24.27) 1973-2018 - N/A | N/A | (-15.58) 30 100 50 i estimate method 1.6 2007-2018 u -3 | 141 | (53) 1992-2018 x N/A I 5900 1.4
BG
70
110
N/A
cmales
estimate
noChange
0.6
2000-2018 + 80 | 110 | (N/A) 1980-2018 + 150 | 200 | (N/A) 5995 1.4 2000-2018 + 20 | 30 | (N/A) 1980-2018 + 30 | 40 | (N/A) 50 100 N/A i estimate noChange # 2.3 2000-2018 + 50 | 60 | (N/A) 1980-2018 F N/A I 6300 1.5
CZ
20
30
N/A
cmales
estimate
genuine
0.2
2002-2006 - N/A | N/A | (-29) 1986-2016 = N/A | N/A | (0) # 5100 1.2 2002-2016 - N/A | N/A | (-30.3) 1986-2016 = N/A | N/A | (0) # 5100 1.2
DE
800
850
N/A
cmales
estimate
genuine
5.3
2004-2016 + N/A | N/A | (25) 1985-2016 = N/A | N/A | (14) 55493 13.2 2004-2016 + 11 | 40 | (N/A) 1980-2016 = -30 | 40 | (N/A) 151 400 N/A i mean noChange # 8.6 2003-2016 x N/A 1980-2016 x N/A I 60700 14.0
DK
N/A
N/A
218
cmales
estimate
noChange
1.4
2008-2017 F 218 | 355 | (N/A) 1980-2017 + 30 | 355 | (N/A) 14600 3.5 1996-2017 + N/A | N/A | (192) 1974-2017 + N/A | N/A | (421) # 14500 3.4
EE
300
400
N/A
cmales
estimate
knowledge
#
2.2
2006-2017 = -1 | 21 | (N/A) 1980-2017 + 30 | 61 | (N/A) 13000 3.1 2007-2018 + 33 | 50 | (N/A) 1980-2018 + 49 | 81 | (N/A) 12900 3.0
ES
17
44
33
cmales
estimate
knowledge
#
0.2
2007-2018 = N/A 1980-2018 F N/A # 5307 1.3 2007-2018 = N/A 1980-2018 F N/A # 5400 1.2
FI
1200
1400
1300
cmales
estimate
noChange
#
8.3
2007-2018 + N/A | N/A | (13) 1980-2018 + N/A | N/A | (1141) 65100 15.5 N/A N/A N/A 1980-2010 + 437 | 437 | (N/A) 65100 15.0
FR
274
289
N/A
cmales
estimate
knowledge
1.8
2008-2018 x N/A 1970-2018 - -50 | -10 | (N/A) 8100 1.9 2009-2018 x N/A 1985-2018 - -60 | -30 | (N/A) # 1000 3000 N/A i estimate noChange 62.3 2007-2018 x N/A 1980-2018 x N/A # I 8100 1.9
GR
5
15
N/A
cmales
estimate
knowledge
2007-2018 - N/A | N/A | (-20) 1980-2018 x N/A 1400 0.3 2007-2018 x N/A 1980-2018 x N/A 2100 0.5
HR
50
70
N/A
cmales
estimate
N/A
0.4
2007-2018 - -40 | -20 | (N/A) 1980-2018 x N/A 151 2007-2018 - -40 | -20 | (N/A) 1980-2018 - -40 | -20 | (N/A) N/A N/A 10 i minimum N/A 0.3 2007-2018 x N/A 1980-2013 x N/A I 3000 0.7
HU
800
1740
N/A
cmales
estimate
knowledge
#
8.1
2007-2018 = N/A 1980-2018 x N/A # 21403 5.1 2007-2018 = N/A 1980-2018 x N/A # 21700 5.0
IT
75
95
N/A
cmales
estimate
noChange
0.5
2007-2018 x N/A 1993-2018 + 215 | 275 | (N/A) 4600 1.1 2007-2018 + 15 | 20 | (N/A) 1993-2018 + 110 | 115 | (N/A) 4600 1.1
LT
1500
2000
N/A
cmales
estimate
noChange
11.2
2013-2018 + 0 | 5 | (N/A) 1980-2018 + 5 | 10 | (N/A) 19600 4.7 2006-2018 = N/A 1980-2018 + 10 | 20 | (N/A) 19700 4.5
LU
5 7 N/A i estimate noChange 0.2 2007-2018 F N/A 1980-2018 + 500 | 700 | (N/A) # I
LV
N/A
N/A
422
cmales
minimum
genuine
2.7
2000-2017 = 1.77 | 5.77 | (N/A) 1991-2017 + N/A | N/A | (111) 20700 4.9 2000-2017 + N/A | N/A | (16) 1980-2017 + N/A | N/A | (218) 20500 4.7
NL
310
400
N/A
cmales
estimate
genuine
2.3
2006-2017 + 14 | 59 | (35) 1980-2017 + 12 | 28 | (20) 14200 3.4 2000-2015 + N/A | N/A | (47.91) 1977-2015 = N/A | N/A | (-8.38) 14200 3.3
PL
3300
4800
N/A
cmales
mean
noInfo
25.9
2007-2018 - -39 | -1 | (-22) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
1
1
N/A
cmales
estimate
noChange
#
2007-2018 x N/A 1980-2018 x N/A 100 # 2005-2018 - N/A | N/A | (-67) 1980-2018 x N/A # 100
RO
2500
4500
N/A
cmales
estimate
method
22.4
2007-2018 x N/A 1980-2018 x N/A 28700 6.8 2007-2018 x N/A 1980-2018 x N/A 28300 6.5
SE
580
740
660
cmales
estimate
genuine
4.2
2007-2018 - -25 | -5 | (-15) 1980-2018 + 80 | 120 | (100) 123800 29.5 2007-2018 = N/A 1980-2018 = N/A 123800 28.6
SI
1
4
N/A
cmales
estimate
genuine
2007-2018 = -50 | 0 | (N/A) 1980-2018 - -80 | -50 | (N/A) # 200 # 2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) # 200
SK
10
60
N/A
cmales
estimate
genuine
0.2
2007-2018 - -20 | -10 | (N/A) 1980-2018 - -50 | -30 | (N/A) 1243 0.3 2007-2018 = N/A 1980-2018 - -20 | -10 | (N/A) 1400 0.3
UK
N/A
N/A
159
cmales
mean
genuine
#
1.0
2001-2016 + N/A | N/A | (288) 1978-2016 + N/A | N/A | (249) 8200 1.9 1989-2009 + 530.77 | 530.77 | (N/A) 1970-2009 + 134.29 | 134.29 | (N/A) N/A N/A 794 i estimate genuine # 24.7 2009-2018 + N/A | N/A | (33) 1981-2017 + N/A | N/A | (700) # I 8200 1.9
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 11200 19100 cmales = u 391000 NE NE 2000 4500 i NE NE Secure Not evaluated A B Secure Botaurus stellaris