Article 12 web tool

Log in

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, Alcedo atthis. 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
CZ completeSurvey
DE estimateExpert
DK estimateExpert
EE estimateExpert
ES estimatePartial
FI estimatePartial
FR estimatePartial
GIB
GR estimatePartial
HR estimateExpert
HU estimatePartial
IE estimatePartial
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV estimatePartial
NL completeSurvey
PL estimateExpert
PT estimatePartial
RO estimateExpert
SE estimatePartial
SI completeSurvey
SK estimatePartial
UK 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
CY
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR estimatePartial
GIB
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI estimateExpert
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
BG
CY estimatePartial
CZ completeSurvey
DE
DK
EE
ES
FI
FR
GIB estimateExpert
GR
HR estimateExpert
HU
IE
IT
LT
LU
LV
NL
PL
PT
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
500
800
N/A
p
estimate
genuine
0.6
2007-2018 + 15 | 30 | (N/A) 1981-2018 x N/A 32500 2.2 2007-2018 = N/A | N/A | (0) 1981-2018 = N/A | N/A | (0) 30500 2.1
BE
900
1600
1200
p
estimate
method
1.1
2008-2018 F N/A 1973-2018 + -5 | 68 | (26) 30125 # 2.1 2008-2018 + N/A | N/A | (18.96) 1973-2018 + N/A | N/A | (28.02000) 29400 2.0
BG
900
3600
N/A
p
estimate
noChange
2.1
2001-2018 - -15 | -10 | (N/A) 1980-2018 - -15 | -10 | (N/A) 47030 3.3 2001-2018 - -5 | 0 | (N/A) 1980-2018 - -5 | 0 | (N/A) 49200 3.4
CY
50 250 N/A i estimate method # 5.4 2007-2018 x N/A 1980-2018 x N/A I
CZ
700
1400
N/A
p
estimate
genuine
1.0
2007-2018 u N/A | N/A | (-1) 1982-2018 + N/A | N/A | (7) # 53900 3.7 2002-2016 = N/A | N/A | (-5.14) 1986-2016 + N/A | N/A | (20.35) # 1700 3500 N/A i estimate N/A 94.0 2008-2019 + N/A | N/A | (5) 1980-2019 + N/A | N/A | (4) # I 53000 3.6
DE
9500
15000
N/A
p
estimate
genuine
11.4
2004-2016 = N/A | N/A | (5) 1980-2016 + N/A | N/A | (29) # 292788 20.3 2004-2016 = -10 | 10 | (N/A) 1980-2016 + 41 | 180 | (N/A) 300100 20.6
DK
N/A
N/A
300
p
estimate
noChange
0.3
2004-2017 F N/A 1980-2017 F N/A 21300 1.5 1996-2017 + N/A | N/A | (90.17) 1974-2017 + N/A | N/A | (159.75) # 21100 1.4
EE
200
500
N/A
p
estimate
knowledge
#
0.3
2006-2017 + -10 | 20 | (N/A) 1980-2017 = N/A 15300 1.1 2007-2018 + 26 | 27 | (N/A) 1980-2018 + 19 | 21 | (N/A) 15200 1.0
ES
2700
24200
N/A
p
interval
noInfo
#
12.5
2007-2018 u -6.4 | 3.2 | (N/A) 1980-2018 - N/A | N/A | (-1.6) # 63575 4.4 2007-2018 - -6.4 | 3.2 | (N/A) 1980-2018 - N/A | N/A | (-1.6) 63500 4.3
FI
5
15
10
p
estimate
noChange
2007-2018 + N/A | N/A | (51) 1980-2018 F N/A 1300 N/A N/A N/A 1980-2010 - 60 | 60 | (N/A) 1300
FR
15000
30000
N/A
p
estimate
method
20.9
2007-2018 u -10 | 25 | (N/A) 2001-2017 - N/A | N/A | (-7.5) 249300 17.3 2013-2018 = 0 | 10 | (N/A) 1989-2018 = N/A 247400 17.0
GIB
1 5 5 i estimate noChange 0.2 2001-2012 = 1 | 5 | (5) 1980-2018 = 1 | 5 | (5) I
GR
500
1000
N/A
p
estimate
knowledge
0.7
2007-2018 x N/A 1980-2018 x N/A 18700 # 1.3 2007-2018 x N/A 1980-2018 x N/A 21900 1.5
HR
700
1000
N/A
p
estimate
N/A
0.8
2007-2018 x N/A 1980-2018 x N/A 360 2007-2018 x N/A 1980-2018 x N/A N/A N/A 10 i minimum N/A 0.4 2007-2018 x N/A 1980-2018 x N/A I 11400 0.8
HU
1200
2000
N/A
p
estimate
knowledge
#
1.5
2007-2018 x N/A 1994-2018 x N/A # 30737 2.1 2007-2018 + N/A | N/A | (35) 1980-2018 = N/A # 31300 2.1
IE
368
1031
N/A
p
estimate
noChange
#
0.7
1991-2010 - N/A | N/A | (-45) 1980-2010 - N/A | N/A | (-44) # 33400 # 2.3 1991-2011 + N/A | N/A | (44) 1972-2011 - N/A | N/A | (-21) # 33200 2.3
IT
6000
16000
N/A
p
estimate
noChange
10.2
2000-2014 - -35 | -15 | (N/A) 1993-2018 + 50 | 100 | (N/A) 109700 7.6 2007-2018 = N/A 1993-2018 + 55 | 60 | (N/A) 109300 7.5
LT
620
1000
N/A
p
estimate
knowledge
0.8
2013-2018 = 0 | 0 | (N/A) 1980-2018 - -10 | 0 | (N/A) 12000 0.8 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 12000 0.8
LU
50
65
N/A
p
estimate
noChange
#
2007-2018 - -20 | -10 | (N/A) 1980-2018 - -40 | -30 | (N/A) 799 # 2007-2018 = 0 | 10 | (N/A) 1980-2018 = 0 | 20 | (N/A) 2900 0.2
LV
750
1200
N/A
p
estimate
method
0.9
2000-2017 = 6.92 | 10.1 | (8.24) 1991-2017 + 170 | 176 | (N/A) 12100 0.8 2000-2017 - N/A | N/A | (-37) 1980-2017 - N/A | N/A | (-33) 12000 0.8
NL
400
1350
N/A
p
estimate
genuine
0.8
2006-2017 + 38 | 69 | (53) 1980-2017 + 1047 | 1267 | (1152) 31500 2.2 2000-2015 + N/A | N/A | (100.63) 1977-2015 + N/A | N/A | (72.13) 30600 2.1
PL
2500
6000
N/A
p
estimate
noChange
4.0
2007-2018 u -4 | 149 | (56) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
5000
30000
N/A
p
estimate
method
#
16.3
2007-2018 - N/A 1980-2018 x N/A # 39100 # 2.7 2005-2018 - N/A | N/A | (-31) 1980-2018 = N/A # 38700 2.6
RO
5000
10000
N/A
p
estimate
noChange
7.0
2007-2018 x N/A 1980-2018 x N/A 58700 4.1 2007-2018 = N/A 1980-2018 x N/A 56700 3.9
SE
170
330
250
p
estimate
noChange
0.2
2007-2018 = -30 | 30 | (0) 1980-2018 F N/A | N/A | (0) 99900 6.9 2007-2018 = N/A 1980-2018 = N/A 99900 6.8
SI
250
350
N/A
p
estimate
knowledge
0.3
2006-2018 = N/A | N/A | (-7) 1980-2018 - -30 | -10 | (N/A) 9000 # 0.6 2007-2018 x N/A 1980-2018 + N/A | N/A | (43) # 8300 0.6
SK
700
1000
N/A
p
estimate
genuine
0.8
2007-2018 = N/A 1980-2018 - -30 | -20 | (N/A) 39731 2.8 2007-2018 = N/A 1980-2018 = N/A 41700 2.9
UK
3847
6412
N/A
p
interval
genuine
#
4.8
2004-2016 - N/A | N/A | (-17.06000) 1980-2016 + N/A | N/A | (21.87) 139700 9.7 1989-2009 + 7.21 | 7.21 | (N/A) 1970-2009 = N/A # 138200 9.5
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 59200 157000 p = = 1580000 NE NE 1700 3800 i NE NE Secure Not evaluated A B Threatened Alcedo atthis