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, Loxia curvirostra. 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 estimateExpert
BG estimatePartial
CY estimateExpert
CZ completeSurvey
DE estimateExpert
DK estimatePartial
EE estimateExpert
ES completeSurvey
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU estimatePartial
IE estimateExpert
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO completeSurvey
SE estimatePartial
SI completeSurvey
SK estimateExpert
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 estimatePartial
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR completeSurvey
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 absentData
SK estimateExpert
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
CZ
DE
DK
EE
ES
FI
FR
GR
HR
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
40000
80000
N/A
p
estimate
noInfo
3.7
2007-2018 F 30 | 110 | (N/A) 1981-2018 x N/A # 65600 4.2 2007-2018 = N/A | N/A | (10) 1981-2018 x N/A 62400 4.0
BE
1800
4300
3000
p
estimate
method
0.2
2008-2018 F N/A 1973-2018 F -50 | 19 | (N/A) 14589 # 0.9 2008-2018 F N/A 1973-2018 F N/A 23200 1.5
BG
5000
25000
N/A
p
estimate
noChange
0.9
2000-2018 = 0 | 0 | (N/A) 1980-2018 F N/A 12667 0.8 2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 13200 0.8
CY
500
1500
N/A
p
estimate
genuine
2007-2018 - -25 | 0 | (N/A) 1980-2018 x N/A 400 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 400
CZ
40000
120000
N/A
p
estimate
noChange
#
5.0
2007-2018 + N/A | N/A | (3) 1982-2018 = N/A | N/A | (-1) # 59900 3.8 2002-2016 = N/A | N/A | (7.04000) 1986-2016 + N/A | N/A | (20.89) # 57100 3.7
DE
32000
85000
N/A
p
estimate
noChange
3.6
2004-2016 F N/A | N/A | (0) 1980-2016 x N/A 242208 15.3 2004-2016 + 11 | 40 | (N/A) 1980-2016 = -30 | 40 | (N/A) 249500 16.0
DK
N/A
N/A
413
p
estimate
genuine
#
2006-2017 F -75.12 | 240.65 | (-1.15) 1983-2017 - -81.7 | -22.62 | (-62.09000) # 21000 1.3 1996-2017 - N/A | N/A | (-18.6) 1974-2017 + N/A | N/A | (79.48) # 20900 1.3
EE
5000
75000
N/A
p
estimate
noChange
2.5
2006-2017 F -41 | 5 | (N/A) 1980-2017 F -51 | -16 | (N/A) 39400 2.5 2007-2018 = -3 | 0 | (N/A) 1980-2018 + 36 | 53 | (N/A) 9900 0.6
ES
140000
190000
N/A
p
interval
noChange
10.2
2008-2018 = N/A 1998-2018 + N/A | N/A | (4.2) 81528 5.2 2007-2018 = N/A 1984-2018 + N/A 85300 5.5
FI
138502
904774
412351
p
interval
genuine
25.5
2007-2018 + 20 | 74 | (45) 1984-2018 - 1 | 35 | (20) 174200 11.0 N/A N/A N/A 1980-2010 - 3 | 3 | (3) 174100 11.2
FR
25000
50000
N/A
p
estimate
method
2.3
2007-2017 x N/A 1989-2017 x N/A 67100 4.2 2009-2017 u -1 | 5 | (N/A) 1985-2017 u -1 | 10 | (N/A) 66000 4.2
GR
5000
10000
N/A
p
estimate
noChange
0.5
2007-2018 = N/A | N/A | (0) 1980-2018 + N/A | N/A | (25) 23800 1.5 2007-2018 x N/A 1980-2018 x N/A 22600 1.4
HR
N/A
N/A
1000
p
estimate
N/A
2007-2018 x N/A 1980-2018 x N/A 8270 0.5 2007-2018 x N/A 1980-2018 x N/A 9300 0.6
HU
200
400
N/A
p
estimate
noChange
#
2007-2018 F N/A 1980-2018 F N/A 1045 2007-2018 F N/A 1980-2018 F N/A 1400
IE
1000
5000
N/A
p
estimate
noChange
#
0.2
2000-2011 x N/A 1980-2011 x N/A # 21200 # 1.3 1991-2011 + N/A | N/A | (88) 1972-2011 + N/A | N/A | (6967) # 20700 1.3
IT
50000
70000
N/A
p
estimate
noChange
3.7
2007-2018 x N/A 1993-2018 + 15 | 70 | (N/A) 50700 3.2 2007-2018 + 5 | 10 | (N/A) 1993-2018 + 35 | 40 | (N/A) 49300 3.2
LT
5000
10000
N/A
p
estimate
knowledge
0.5
2013-2018 F N/A 1980-2018 F N/A 15400 1.0 2001-2012 F N/A 1980-2012 F N/A 15400 1.0
LU
5
10
N/A
p
estimate
knowledge
#
2007-2018 u 0 | 100 | (N/A) 1980-2018 u 0 | 100 | (N/A) 58 # 2007-2018 u 0 | 100 | (N/A) 1980-2018 u 0 | 100 | (N/A) 900
LV
1693
11258
4365
p
interval
genuine
0.3
2005-2018 - -79.8 | 141.6 | (-25.8) 1991-2016 - -65 | -64 | (N/A) 13700 0.9 2000-2017 - N/A | N/A | (-29) 1980-2017 x N/A 13700 0.9
NL
400
3500
N/A
p
estimate
genuine
0.1
2006-2017 = -29 | 20 | (-7) 1984-2017 = -48 | 179 | (21) # 14800 0.9 2000-2015 = N/A | N/A | (-1.98) 1977-2015 + N/A | N/A | (362.5) 14000 0.9
PL
6000
16000
N/A
p
interval
genuine
0.7
2007-2018 - -57 | -3 | (-35) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
100
500
N/A
p
estimate
noChange
#
2007-2018 x N/A 1980-2018 x N/A # 2500 # 0.2 2005-2018 + N/A | N/A | (108) 1980-2018 x N/A # 2500 0.2
RO
117506
385089
N/A
p
interval
method
15.6
2007-2018 x N/A 1980-2018 x N/A 40400 2.6 2007-2018 x N/A 1980-2018 x N/A 40400 2.6
SE
58000
584000
320000
p
mean
noChange
19.8
2007-2018 F -50 | 100 | (N/A) 1980-2018 F -9 | 98 | (N/A) # 463600 29.4 2007-2018 = N/A 1980-2018 = N/A 463000 29.7
SI
8000
13000
N/A
p
estimate
noChange
#
0.7
2008-2018 x N/A 1980-2018 x N/A 8100 # 0.5 2007-2018 x N/A 1980-2018 + N/A | N/A | (45) # 7500 0.5
SK
25000
50000
N/A
p
estimate
noChange
2.3
2007-2018 F N/A 1980-2018 F N/A 21880 1.4 2007-2018 = N/A 1980-2018 = N/A 23400 1.5
UK
19744
34081
25940
p
interval
genuine
1.6
2004-2016 - N/A | N/A | (-12.14) 1995-2016 - N/A | N/A | (-27) # 113800 # 7.2 1989-2009 x N/A 1970-2009 x N/A 112600 7.2
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 889000 2910000 p + = 1530000 NE NE Secure A B Secure Loxia curvirostra