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, Tachybaptus ruficollis. 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 completeSurvey
BE estimatePartial
BG estimatePartial
CY estimatePartial
CZ completeSurvey
DE estimateExpert
DK estimatePartial
EE estimateExpert
ES completeSurvey
FI estimatePartial
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU estimateExpert
IE estimatePartial
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV estimatePartial
MT completeSurvey
NL completeSurvey
PL estimateExpert
PT estimatePartial
RO estimateExpert
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
CY completeSurvey
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimatePartial
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
MT completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
RO estimatePartial
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 completeSurvey
BE completeSurvey
BG completeSurvey
CY estimatePartial
CZ completeSurvey
DE estimatePartial
DK
EE
ES completeSurvey
FI
FR
GR estimatePartial
HR estimateExpert
HU estimatePartial
IE estimatePartial
IT
LT completeSurvey
LU
LV completeSurvey
MT completeSurvey
NL completeSurvey
PL
PT
RO estimatePartial
SE
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 Status Distrib. % MS
AT
900
1200
N/A
p
estimate
genuine
1.0
2007-2018 + 15 | 30 | (N/A) 1981-2018 - -20 | -10 | (N/A) 21200 1.5 2007-2018 - N/A | N/A | (-21) 1981-2018 + 15 | 30 | (N/A) 700 1400 N/A i estimate genuine 1.8 2007-2018 + N/A | N/A | (15) 1981-2014 - N/A | N/A | (-47) keywintering 19900 1.3
BE
1200
1800
1500
p
estimate
genuine
1.5
2008-2018 + -4 | 45 | (20) 1973-2018 + 66 | 148 | (107) 27125 # 1.9 2008-2018 + N/A | N/A | (12.52) 1973-2018 + N/A | N/A | (49.37) 1400 2200 1800 i interval genuine 3.1 2007-2018 + 3 | 70 | (32) 1992-2018 + 56 | 137 | (92) keywintering 25200 1.7
BG
500
1500
N/A
p
estimate
noChange
1.0
2000-2018 x N/A 1980-2018 x N/A 37581 2.7 2000-2018 = 0 | 5 | (N/A) 1980-2018 = 0 | 10 | (N/A) 400 1500 N/A i estimate noChange 1.6 1999-2018 + 15 | 50 | (N/A) 1980-2018 F N/A keywintering 39400 2.7
CY
50
160
N/A
p
estimate
genuine
0.1
2007-2018 = 0 | 0 | (N/A) 1980-2018 + 50 | 150 | (N/A) 2200 0.2 2007-2018 = 0 | 0 | (N/A) 1980-2018 + 150 | 350 | (N/A) 200 650 N/A i estimate genuine 0.7 2007-2018 F N/A 1980-2018 + 50 | 150 | (N/A) keywintering 2200 0.1
CZ
1500
3000
N/A
p
estimate
noChange
#
2.2
2001-2017 - -25 | -25 | (N/A) 1981-2017 - N/A | N/A | (-7) # 45900 3.2 2002-2016 = N/A | N/A | (-5.2) 1986-2016 = N/A | N/A | (-6.96) # 625 1318 N/A i estimate N/A 1.6 2008-2019 = N/A | N/A | (1) 1980-2019 + N/A | N/A | (1) # keywintering 45300 3.1
DE
12000
19000
N/A
p
estimate
genuine
15.1
2004-2016 = N/A | N/A | (-1) 1980-2016 = N/A | N/A | (-1) 253933 18.0 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 8001 20000 N/A i mean noChange # 23.8 2003-2016 + 20 | 28 | (24) 1980-2016 + 28 | 37 | (32) # keywintering 263900 17.8
DK
N/A
N/A
2177
p
estimate
genuine
#
2.1
2006-2017 F -69.27 | 12.65 | (-40.12) 1984-2017 F -57.47 | 2.56 | (-33.77) # 41700 3.0 1996-2017 = N/A | N/A | (8.87) 1974-2017 + N/A | N/A | (70.9) # 41700 2.8
EE
20
40
N/A
p
estimate
noChange
2006-2017 = N/A 1980-2017 + 20 | 50 | (N/A) 2100 0.1 2007-2018 + 48 | 167 | (N/A) 1980-2018 + 90 | 600 | (N/A) 2100 0.1
ES
N/A
N/A
2274
p
minimum
knowledge
#
2.2
2007-2018 = N/A 1980-2018 + 66 | 116 | (N/A) 78243 5.5 2007-2018 + 11 | 36 | (23) 1980-2018 + 2.3 | 330 | (250) 5216 5973 5623 i estimate knowledge 9.6 2007-2018 = N/A 1980-2018 + 70 | 450 | (N/A) keywintering 84100 5.7
FI
10
20
15
p
estimate
noChange
#
2007-2018 + N/A | N/A | (17) 1980-2018 + N/A | N/A | (300) # 1600 0.1 N/A N/A N/A 1980-2010 + 75 | 75 | (N/A) 1600 0.1
FR
12000
19000
N/A
p
estimate
method
15.1
2006-2018 - N/A | N/A | (-22) 1980-2018 x N/A 244900 17.4 2009-2018 = N/A | N/A | (0) 1985-2018 = N/A | N/A | (0) # 243300 16.4
GR
1500
2000
N/A
p
estimate
noChange
1.7
2007-2018 = N/A | N/A | (0) 1980-2018 x N/A 11000 # 0.8 2007-2018 x N/A 1980-2018 x N/A 3500 7100 N/A i estimate knowledge # 9.0 2007-2018 x N/A 1980-2018 x N/A keywintering 11100 0.8
HR
5000
10000
N/A
p
estimate
N/A
7.3
2007-2018 x N/A 1980-2018 x N/A 1050 2007-2018 x N/A 1980-2018 x N/A 2000 3000 N/A i estimate N/A 4.3 2007-2018 x N/A 1980-2013 x N/A keywintering 58200 3.9
HU
3000
4000
N/A
p
estimate
knowledge
#
3.4
2007-2018 = N/A 1980-2018 - -67 | -60 | (N/A) # 35557 2.5 2007-2018 = N/A 1980-2018 = N/A # 200 250 N/A i estimate noChange # 0.4 2007-2018 F N/A 1980-2018 F N/A # keywintering 36100 2.4
IE
3438
6875
N/A
p
estimate
noChange
#
5.0
2000-2011 x N/A 1980-2011 x N/A # 38500 # 2.7 1991-2011 + N/A | N/A | (52) 1972-2011 - N/A | N/A | (-9) # N/A N/A 1594 i mean genuine # 2.7 2004-2016 + N/A | N/A | (9.7) 1987-2016 x N/A keywintering 37700 2.5
IT
3000
4000
N/A
p
estimate
noChange
3.4
2007-2018 x N/A 1993-2018 + 100 | 200 | (N/A) 133100 9.4 2007-2018 = N/A 1993-2018 + 120 | 125 | (N/A) 132900 9.0
LT
1000
1500
N/A
p
estimate
knowledge
1.2
2013-2018 = N/A 1980-2018 = N/A 9600 0.7 2006-2018 - -5 | 0 | (N/A) 1980-2018 - -20 | -10 | (N/A) 20 80 N/A i estimate noInfo 2013-2018 x N/A 1980-2018 = N/A keywintering 9500 0.6
LU
90
100
N/A
p
estimate
noChange
2007-2018 + 0 | 20 | (N/A) 1980-2018 + 60 | 80 | (N/A) 407 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 + 10 | 20 | (N/A) 3000 0.2
LV
100
160
N/A
p
estimate
knowledge
0.1
2000-2018 = 12.8 | 20.23 | (N/A) 1980-2018 x N/A 5500 0.4 2000-2017 - N/A | N/A | (-14) 1980-2017 + N/A | N/A | (28) 3 9 N/A i estimate noChange 2009-2018 u -73.8 | 438 | (34.8) 1991-2018 u -36.9 | 1928.3 | (278.2) keywintering 5500 0.4
MT
2
2
N/A
p
estimate
noChange
#
2008-2018 = N/A | N/A | (0) 1996-2018 = N/A # 1 # 2008-2018 = N/A | N/A | (0) 1980-2018 + N/A | N/A | (50) # 4 8 N/A i estimate noInfo 2008-2018 = N/A 1980-2018 = N/A keywintering 100
NL
2100
2900
N/A
p
estimate
noChange
2.4
2006-2017 = -13 | 8 | (-3) 1984-2017 + 58 | 153 | (100) 34100 2.4 2000-2015 + N/A | N/A | (17.58) 1977-2015 + N/A | N/A | (12.54) 4624 6170 5632 i mean noChange # 9.6 2006-2017 = -30 | 69 | (9) 1981-2017 = -11 | 107 | (36) # keywintering 32400 2.2
PL
7500
10000
N/A
p
estimate
noChange
8.5
2007-2018 u -8 | 133 | (48) 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
10000
N/A
p
estimate
method
#
5.3
2007-2018 = N/A 1980-2018 + N/A # 27400 # 1.9 2005-2018 = N/A | N/A | (-21) 1980-2018 = N/A # 27400 1.9
RO
2400
24000
N/A
p
estimate
knowledge
12.8
2007-2018 x N/A 1980-2018 x N/A 36300 2.6 2007-2018 = N/A 1980-2018 x N/A 1086 2351 N/A i mean genuine 2.9 2013-2018 + 3.04000 | 8.03000 | (N/A) 2000-2018 + 1.17 | 4.53 | (N/A) keywintering 36100 2.4
SE
270
350
300
p
estimate
genuine
0.3
2007-2018 - -30 | -10 | (-20) 1980-2018 = -50 | 100 | (0) 118600 8.4 2007-2018 = N/A 1980-2018 = N/A 118700 8.0
SI
500
1000
N/A
p
estimate
noChange
0.7
2007-2018 x N/A 1980-2018 x N/A 3700 # 0.3 2007-2018 = N/A 1980-2018 = N/A | N/A | (3) # 500 1000 N/A i estimate genuine 1.3 2013-2018 - N/A | N/A | (-59) 1980-2018 - -50 | -30 | (N/A) keywintering 3300 0.2
SK
1000
3000
N/A
p
estimate
noChange
1.9
2007-2018 = N/A 1980-2018 = N/A 22893 1.6 2007-2018 = N/A 1980-2018 = N/A 400 700 N/A i estimate genuine 0.9 2007-2018 - -15 | -5 | (N/A) 1980-2018 x N/A keywintering 23900 1.6
UK
3646
7293
N/A
p
interval
genuine
5.3
2004-2016 - N/A | N/A | (-16.74) 1980-2016 - N/A | N/A | (-63.15) # 177700 12.6 1989-2009 + 29.9 | 29.9 | (N/A) 1970-2009 + 21.13 | 21.13 | (N/A) N/A N/A 15599 i mean genuine 26.6 2005-2016 = N/A | N/A | (1) 1989-2016 + N/A | N/A | (112.8) # keywintering 175900 11.9
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 71700 126000 p = = 1370000 NE NE 44900 68600 i = + Secure Secure A B Secure Tachybaptus ruficollis