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, Anthus trivialis. 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 estimatePartial
BG estimatePartial
CZ completeSurvey
DE completeSurvey
DK estimatePartial
EE estimateExpert
ES estimatePartial
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO completeSurvey
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
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR completeSurvey
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
RO completeSurvey
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
BE
BG
CZ
DE
DK
EE
ES
FI
FR
GR
HR
HU
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
25000
40000
N/A
p
estimate
noChange
0.3
2007-2018 = N/A | N/A | (1) 1981-2018 x N/A 73800 2.9 2007-2018 = N/A | N/A | (9) 1981-2018 x N/A 69300 2.7
BE
10300
13500
11900
p
estimate
method
0.1
2008-2018 = -14 | 25 | (2) 1973-2018 - -62 | -50 | (-56) 18867 # 0.7 2008-2018 = N/A | N/A | (-10.04000) 1973-2018 - N/A | N/A | (-33.01000) 30500 1.2
BG
10000
17000
N/A
p
estimate
noChange
0.1
2000-2018 - -40 | -30 | (N/A) 1980-2018 = 0 | 0 | (N/A) # 43615 1.7 2000-2018 - -20 | -10 | (N/A) 1980-2018 = 0 | 5 | (N/A) 45500 1.8
CZ
430000
860000
N/A
p
estimate
noChange
#
7.0
2007-2018 - N/A | N/A | (-3) 1982-2018 - N/A | N/A | (-4) # 73500 2.9 2002-2016 = N/A | N/A | (-2.15) 1986-2016 = N/A | N/A | (-2.95) # 69500 2.7
DE
252000
360000
N/A
p
estimate
genuine
3.3
2004-2016 = -7 | 10 | (1) 1980-2016 - N/A | N/A | (-58) 333187 12.9 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 351200 13.7
DK
N/A
N/A
71197
p
estimate
genuine
#
0.8
2006-2017 - -23.85 | -3.18 | (-14.08000) 1980-2017 - -47.19 | -26.98 | (-37.88) # 46800 1.8 1996-2017 = N/A | N/A | (-3.1) 1974-2017 = N/A | N/A | (-7.32) # 46800 1.8
EE
300000
600000
N/A
p
estimate
knowledge
4.9
2007-2018 = N/A 1983-2018 - -45 | -42 | (N/A) # 54400 2.1 2007-2018 = -1 | 0 | (N/A) 1980-2018 = 0 | 2 | (N/A) 30000 1.2
ES
124363
231744
N/A
p
interval
noChange
1.9
2007-2018 - N/A 1980-2018 = N/A 48760 1.9 2007-2018 = 0.8 | 4.1 | (2.5) 1980-2018 = N/A # 51100 2.0
FI
1608848
1913791
1738920
p
mean
genuine
18.9
2007-2018 = -8 | 3 | (-3) 1980-2018 - 26 | 40 | (33) 304800 11.8 N/A N/A N/A 1980-2010 + 3 | 3 | (N/A) 304500 11.8
FR
250000
500000
N/A
p
estimate
knowledge
4.1
2007-2018 - N/A | N/A | (-31.4) 2001-2018 - N/A | N/A | (-23) 366900 14.2 2009-2017 - -5 | -1 | (N/A) 1985-2017 - -10 | -5 | (N/A) 364000 14.2
GR
400
800
N/A
p
estimate
noChange
2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) 55100 2.1 2007-2018 x N/A 1980-2018 x N/A 50200 1.9
HR
50000
100000
N/A
p
estimate
N/A
0.8
2007-2018 x N/A 1980-2018 x N/A 50300 1.9 2007-2018 x N/A 1980-2018 x N/A 49800 1.9
HU
84000
130000
N/A
p
interval
knowledge
#
1.2
2007-2018 u N/A | N/A | (46) 1980-2018 = N/A # 49209 # 1.9 2007-2018 = N/A 1980-2018 = N/A 50100 1.9
IT
100000
200000
N/A
p
estimate
noChange
1.6
2012-2017 - -10 | 0 | (N/A) 1993-2018 + N/A | N/A | (150) 106800 4.1 2007-2018 - -10 | -5 | (N/A) 1993-2018 + 15 | 20 | (N/A) 104400 4.1
LT
150000
300000
N/A
p
estimate
knowledge
2.4
2013-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 32000 1.2 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 31300 1.2
LU
2500
4500
N/A
p
estimate
genuine
#
2009-2018 - -20 | -10 | (N/A) 1980-2018 - -30 | -20 | (N/A) 770 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2500 0.1
LV
344557
503029
414117
p
interval
method
4.5
2005-2018 - -32.8 | -2.9 | (-19.1) 1991-2016 - N/A | N/A | (-38) 65900 2.5 2000-2017 = N/A | N/A | (-6) 1980-2017 = N/A | N/A | (8) 64700 2.5
NL
50000
80000
N/A
p
estimate
knowledge
0.7
2006-2017 + 16 | 29 | (22) 1984-2017 + 119 | 200 | (157) 31400 1.2 2000-2015 = N/A | N/A | (8.27) 1977-2015 = N/A | N/A | (-2.48) 28300 1.1
PL
914000
1008000
N/A
p
interval
genuine
10.4
2007-2018 - -18 | -2 | (-10) 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
1000
N/A
p
estimate
noChange
#
2007-2018 - N/A 1980-2018 x N/A # 2400 # 2005-2018 - N/A | N/A | (-48) 1980-2018 = N/A # 2200
RO
548490
818552
N/A
p
interval
method
7.4
2008-2018 u -6 | 1 | (N/A) 1980-2018 x N/A 164900 6.4 2007-2018 = N/A 1980-2018 x N/A 164900 6.4
SE
1396000
3324000
2360000
p
estimate
noChange
25.6
2007-2018 + 3 | 12 | (7) 1980-2018 u -50 | 50 | (N/A) # 475300 18.4 2007-2018 = N/A 1980-2018 = N/A 473600 18.4
SI
18200
30300
N/A
p
estimate
genuine
0.3
2008-2018 - N/A | N/A | (-56.6) 1980-2018 x N/A 8100 # 0.3 2007-2018 x N/A 1980-2018 = N/A | N/A | (4) # 7400 0.3
SK
150000
280000
N/A
p
estimate
genuine
2.3
2007-2018 - -30 | -15 | (N/A) 1980-2018 - -70 | -50 | (N/A) 47653 1.9 2007-2018 = N/A 1980-2018 = N/A 51500 2.0
UK
66105
145449
105777
p
interval
genuine
1.1
2004-2016 = N/A | N/A | (9.9) 1980-2016 - N/A | N/A | (-71.49) # 126900 4.9 1989-2009 - -16.68 | -16.68 | (N/A) 1970-2009 - -29.15 | -29.15 | (N/A) 125600 4.9
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 6900000 11700000 p = - 2620000 NE NE Depleted B B Declining Anthus trivialis