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 LT

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, Anthus campestris. 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
BG estimatePartial
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimateExpert
ES estimatePartial
FI estimateExpert
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimateExpert
LT estimatePartial
LV estimatePartial
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO completeSurvey
SE completeSurvey
SI estimatePartial
SK estimateExpert
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
BG estimatePartial
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI estimateExpert
FR completeSurvey
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimatePartial
LT estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
RO completeSurvey
SE completeSurvey
SI absentData
SK estimateExpert
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
BG
CZ
DE
DK
EE
ES
FI
FR
GR
HR
HU
IT
LT
LV
NL
PL
PT
RO
SE
SI
SK
Max
Best value Unit Type est. Change % MS ST period ST direction ST magnitude LT period LT direction LT magnitude Status Distrib. % MS
AT
20
30
N/A
p
estimate
knowledge
2007-2018 = N/A | N/A | (0) 1981-2018 + 200 | 500 | (N/A) 1300 2007-2018 = N/A | N/A | (0) 1981-2018 + 200 | 500 | (N/A) 1100 0.2
BG
4000
13000
N/A
p
estimate
noChange
0.8
2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 46287 0.6 2000-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 48400 7.3
CZ
150
200
N/A
p
estimate
noChange
#
2007-2018 x N/A 1980-2018 x N/A # 800 2002-2016 - N/A | N/A | (-42.85) 1986-2016 - N/A | N/A | (-60) # 800 0.1
DE
550
900
N/A
p
estimate
genuine
2004-2016 - N/A | N/A | (-44) 1980-2016 - N/A | N/A | (-79) 20126 0.2 2004-2016 - -30 | -11 | (N/A) 1980-2016 - -65 | -26 | (N/A) 20500 3.1
DK
N/A
N/A
0
p
estimate
noChange
2004-2017 = N/A 1980-2017 - N/A | N/A | (-100) 100 1996-2017 - N/A | N/A | (-80) 1974-2017 - N/A | N/A | (-95) # 100
EE
1
10
N/A
p
estimate
genuine
2006-2017 - -50 | -20 | (N/A) 1980-2017 - -50 | -20 | (N/A) 600 2007-2018 - N/A | N/A | (-50) 1980-2018 - N/A | N/A | (-40) 600
ES
327995
573856
439530
p
interval
knowledge
#
42.5
2007-2018 = -2.9 | 1.5 | (N/A) 1980-2018 = N/A 7452889 92.6 2007-2018 = N/A 1980-2018 = N/A 80300 12.1
FI
0
1
0
p
estimate
noChange
#
2013-2018 = N/A 1980-2018 - N/A # N/A N/A N/A N/A N/A 1980-2012 = N/A N/A N/A
FR
10000
20000
N/A
p
estimate
method
1.4
2007-2017 u -5 | 10 | (N/A) 1985-2017 - -50 | -10 | (N/A) 64400 0.8 2009-2017 - N/A | N/A | (-5) 1985-2017 - N/A | N/A | (-5) 64200 9.7
GR
5000
20000
N/A
p
estimate
noChange
1.2
2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) 106600 1.3 2007-2018 x N/A 1980-2018 x N/A 93400 14.1
HR
17000
23000
N/A
p
estimate
N/A
1.9
2007-2018 x N/A 1980-2018 x N/A 34000 0.4 2007-2018 x N/A 1980-2018 x N/A 33800 5.1
HU
5700
7100
N/A
p
interval
knowledge
#
0.6
2007-2018 u N/A | N/A | (-8) 1980-2018 x N/A # 37139 # 0.5 2007-2018 = N/A 1980-2018 x N/A # 38200 5.8
IT
15000
40000
N/A
p
estimate
noChange
2.7
2012-2017 - -30 | -15 | (N/A) 1993-2018 = N/A 117100 1.4 2007-2018 = N/A 1993-2018 + 25 | 30 | (N/A) 116900 17.6
LT
400
600
N/A
p
estimate
knowledge
2013-2018 = 0 | 0 | (N/A) 1980-2018 + 10 | 30 | (N/A) 4200 2006-2018 + N/A | N/A | (10) 1980-2018 + N/A | N/A | (30) 4200 0.6
LV
75
130
N/A
p
estimate
genuine
2000-2018 - -47.61 | -44.21 | (-46.55) 1991-2017 - -70 | -67 | (N/A) 2600 2000-2017 - N/A | N/A | (-33) 1980-2017 = N/A | N/A | (18) 2600 0.4
NL
0
0
N/A
p
estimate
noChange
2006-2008 - -100 | -100 | (-99) 1980-2008 - -100 | -100 | (-100) # 0.00000 2006-2008 - N/A | N/A | (-100) 1977-2008 - N/A | N/A | (-100) # N/A N/A
PL
13000
26000
N/A
p
interval
knowledge
1.9
2007-2018 - -68 | -4 | (-44) 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
noChange
#
0.5
2007-2018 - N/A 1980-2018 x N/A # 11400 # 0.1 2005-2018 - N/A | N/A | (-64) 1980-2018 = N/A # 11300 1.7
RO
394750
560983
N/A
p
interval
method
46.2
2008-2018 u 1 | 15 | (N/A) 1980-2018 x N/A 144500 1.8 2007-2018 = N/A 1980-2018 x N/A 142000 21.4
SE
25
50
40
p
estimate
noChange
2007-2018 = -10 | 10 | (0) 1980-2018 - -90 | -80 | (-85) 900 2007-2018 - -40 | -20 | (-30) 1980-2018 - -95 | -85 | (-90) 900 0.1
SI
30
55
N/A
p
estimate
noChange
2007-2018 x N/A 1990-2018 - -10 | -5 | (N/A) # 500 # 2007-2018 x N/A 1980-2018 - N/A | N/A | (-20) # 400
SK
100
120
N/A
p
estimate
noChange
2007-2018 = N/A 1980-2018 - -50 | -25 | (N/A) 3045 2007-2018 = N/A 1980-2018 - -30 | -10 | (N/A) 3300 0.5
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 550000 986000 p = = 8060000 NE NE Secure A B Secure Anthus campestris