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, Tringa totanus. 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
CZ completeSurvey
DE completeSurvey
DK estimatePartial
EE estimatePartial
ES completeSurvey
FI estimateExpert
FR completeSurvey
GR estimatePartial
HR completeSurvey
HU completeSurvey
IE estimatePartial
IT estimateExpert
LT 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 completeSurvey
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
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
RO estimateExpert
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 completeSurvey
BG estimatePartial
CZ
DE completeSurvey
DK
EE
ES completeSurvey
FI
FR
GR estimatePartial
HR estimateExpert
HU
IE completeSurvey
IT
LT
LV
NL completeSurvey
PL
PT completeSurvey
RO
SE
SI completeSurvey
SK
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
40
210
N/A
p
estimate
genuine
0.1
2007-2018 - N/A | N/A | (-43) 1986-2018 - N/A | N/A | (-28) 2000 0.3 2007-2018 - -20 | -10 | (N/A) 1981-2018 - -20 | -10 | (N/A) 1800 0.2
BE
400
600
500
p
estimate
genuine
0.5
2008-2018 + 23 | 85 | (54) 1973-2018 + 100 | 200 | (150) 5273 # 0.7 2008-2018 + N/A | N/A | (287.44) 1973-2018 + N/A | N/A | (68.63) 340 470 400 i interval genuine 0.3 2007-2018 + 20 | 102 | (56) 1992-2018 u -42 | 6 | (-22) keywintering 9800 1.3
BG
20
45
N/A
p
estimate
noChange
2000-2018 - -10 | -5 | (N/A) 1980-2018 - -15 | -10 | (N/A) 4451 0.6 2000-2018 = 0 | 5 | (N/A) 1980-2018 = 0 | 5 | (N/A) 5 25 N/A i estimate genuine 1999-2018 - -40 | -20 | (N/A) 1980-2018 - -30 | -10 | (N/A) keywintering 5100 0.7
CZ
50
70
N/A
p
estimate
noChange
#
2002-2016 F N/A 1986-2016 = N/A # 8000 1.1 2002-2016 + N/A | N/A | (21) 1986-2016 + N/A | N/A | (19) # 8000 1.1
DE
N/A
N/A
8500
p
estimate
genuine
8.3
2004-2016 - -20 | -12 | (-16) 1981-2014 = -8 | 5 | (-2) 30196 4.1 2004-2016 = -10 | 10 | (0) 1980-2016 - -65 | -26 | (N/A) N/A N/A 4100 i mean genuine 2.8 2003-2016 - -74 | -65 | (-69) 1980-2016 - -65 | -30 | (N/A) # keywintering 37900 5.1
DK
N/A
N/A
7139
p
estimate
genuine
#
7.0
2006-2017 = -35.67 | 17.4 | (-12.77) 1983-2017 - -59.53 | -37.08000 | (-49.5) # 29600 4.0 1996-2017 = N/A | N/A | (-8.92) 1974-2017 - N/A | N/A | (-20.85) # 29400 4.0
EE
2500
3500
N/A
p
estimate
knowledge
2.9
2006-2017 = -6 | 6 | (N/A) 1980-2017 - -38 | -29 | (N/A) # 28100 3.8 2007-2018 = N/A | N/A | (18) 1980-2018 = N/A | N/A | (-5) # 19600 2.6
ES
N/A
N/A
1100
p
mean
knowledge
#
1.1
2007-2018 = N/A 1980-2018 = N/A 17862 2.4 2007-2018 = N/A 1980-2017 = N/A # 5563 8580 6728 i estimate knowledge 4.6 2007-2018 = N/A 1980-2018 + N/A | N/A | (3.9) keywintering 22100 3.0
FI
5285
10381
7212
p
estimate
knowledge
#
7.0
2007-2018 = -14 | 31 | (6) 1980-2018 - 33 | 61 | (49) # 66900 9.1 2001-2012 x N/A 1980-2010 - 13 | 13 | (N/A) 66700 8.9
FR
1447
1657
N/A
p
estimate
method
1.5
2007-2018 x N/A 1983-2011 + 150 | 200 | (N/A) 13600 1.8 2007-2018 = N/A 1980-2018 = N/A 13600 1.8
GR
400
800
N/A
p
estimate
noChange
0.6
2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) 16100 # 2.2 2007-2018 x N/A 1980-2018 x N/A 2000 5000 N/A i estimate noChange 2.4 2007-2018 x N/A 1980-2018 x N/A keywintering 15900 2.1
HR
3
8
N/A
p
mean
N/A
2007-2018 u N/A | N/A | (250) 1980-2018 x N/A 5 2017-2018 u N/A | N/A | (200) 1980-2018 x N/A 20 100 N/A i estimate N/A 2007-2018 x N/A 1980-2013 x N/A keywintering 300
HU
480
850
N/A
p
estimate
knowledge
#
0.7
2007-2018 = N/A 1980-2018 x N/A # 18483 # 2.5 2007-2018 = N/A 1980-2018 x N/A # 18800 2.5
IE
220
300
250
p
estimate
genuine
#
0.2
2008-2018 - -56 | -40 | (-50) 1980-2018 - -95 | -93 | (-94) # 9100 # 1.2 1991-2011 - N/A | N/A | (-44) 1972-2011 - N/A | N/A | (-50) # N/A N/A 16812 i mean genuine # 11.5 2004-2016 - N/A | N/A | (-13.7) 1987-2016 + N/A | N/A | (2.3) keywintering 9000 1.2
IT
1600
2000
N/A
p
estimate
genuine
1.8
2007-2018 + 45 | 70 | (N/A) 1993-2018 + 70 | 175 | (N/A) 6500 0.9 2007-2018 + 20 | 25 | (N/A) 1993-2018 + 165 | 170 | (N/A) 6500 0.9
LT
250
400
N/A
p
estimate
genuine
0.3
2013-2018 - -40 | -30 | (N/A) 1980-2018 - -30 | -20 | (N/A) 5500 0.7 2006-2018 = 0 | 0 | (N/A) 1980-2018 x N/A 5500 0.7
LV
140
300
N/A
p
estimate
genuine
0.2
2000-2017 - -39.4 | -34.95 | (-37.08000) 1991-2017 - -71 | -70 | (N/A) 5700 0.8 2000-2017 - N/A | N/A | (-46) 1980-2017 - N/A | N/A | (-68) 5600 0.8
NL
17000
20000
N/A
p
estimate
knowledge
18.0
2006-2017 - -25 | -12 | (-19) 1984-2017 - -34 | -9 | (-23) 34200 4.6 2000-2015 = N/A | N/A | (-2.28) 1977-2015 = N/A | N/A | (-9.52) 7695 12311 9860 i mean genuine 6.7 2006-2017 u -49 | 1 | (-28) 1981-2017 = -42 | 15 | (-19) keywintering 33500 4.5
PL
800
1200
N/A
p
estimate
genuine
1.0
2007-2018 u -51 | 8 | (-27) 1980-2018 - -60 | -50 | (N/A) # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
10
30
N/A
p
estimate
noChange
#
2007-2018 u N/A 1980-2018 x N/A # 2200 # 0.3 2005-2018 - N/A | N/A | (-54) 1980-2018 x N/A # 1648 5166 3661 i mean N/A 2.5 2007-2018 - -45 | -29 | (-38) 1988-2018 - N/A keywintering 2200 0.3
RO
200
2000
N/A
p
estimate
knowledge
1.1
2007-2018 x N/A 1980-2018 x N/A 7100 1.0 2007-2018 x N/A 1980-2018 x N/A 7000 0.9
SE
23000
33000
27000
p
estimate
genuine
26.3
2007-2018 + 16 | 66 | (39) 1980-2018 + 10 | 30 | (20) 326800 44.2 2007-2018 = N/A 1980-2018 = N/A 326200 43.8
SI
10
25
N/A
p
estimate
genuine
2007-2018 + N/A | N/A | (1358) 1980-2018 + 70 | 400 | (N/A) # 200 2007-2018 = N/A | N/A | (0) 1980-2018 - N/A | N/A | (-25) # 0 2 N/A i estimate genuine 2007-2018 - N/A | N/A | (-100) 1980-2018 - -100 | -99 | (N/A) keywintering 200
SK
20
40
N/A
p
estimate
genuine
2007-2018 - -20 | -10 | (N/A) 1980-2018 - -70 | -50 | (N/A) 2689 0.4 2007-2018 = N/A 1980-2018 - -20 | -10 | (N/A) 3100 0.4
UK
N/A
N/A
21917
p
estimate
genuine
21.4
2004-2016 - N/A | N/A | (-28.45) 1980-2016 - N/A | N/A | (-70.13) 98600 13.3 1989-2009 - -35.13 | -35.13 | (N/A) 1970-2009 - -43.07000 | -43.07000 | (N/A) N/A N/A 101190 i mean genuine 69.2 2005-2016 - N/A | N/A | (-13) 1980-2016 = N/A | N/A | (-8.7) keywintering 97100 13.0
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 92300 115000 p - - 732000 NE NE 139000 154000 i - = Threatened Declining C B Threatened Tringa totanus