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, Coturnix coturnix. 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 estimatePartial
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimateExpert
ES estimatePartial
ESIC estimateExpert
FI estimateExpert
FR estimateExpert
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE estimateExpert
IT estimateExpert
LT estimatePartial
LU estimatePartial
LV estimatePartial
NL completeSurvey
PL completeSurvey
PT estimatePartial
PTAC estimatePartial
PTMA estimatePartial
RO completeSurvey
SE estimatePartial
SI estimatePartial
SK estimateExpert
UK completeSurvey
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
ESIC absentData
FI completeSurvey
FR completeSurvey
GR estimatePartial
HR estimateExpert
HU completeSurvey
IE estimateExpert
IT estimatePartial
LT estimatePartial
LU estimatePartial
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
PTAC estimatePartial
PTMA completeSurvey
RO completeSurvey
SE estimatePartial
SI absentData
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
CZ
DE
DK
EE
ES
ESIC
FI
FR
GR
HR
HU
IE
IT
LT
LU
LV
NL
PL
PT
PTAC
PTMA
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
2500
5000
N/A
cmales
estimate
genuine
0.2
2007-2018 - N/A | N/A | (-50) 1981-2018 x N/A 38200 2.0 2007-2018 - N/A | N/A | (-17) 1981-2018 x N/A 35600 1.9
BE
1100
3700
2400
cmales
estimate
method
0.1
2008-2018 F -64 | 21 | (N/A) 1973-2018 + 57 | 429 | (243) 28945 # 1.5 2008-2018 = N/A 1973-2018 + N/A | N/A | (130.6) 28700 1.5
BG
15000
35000
N/A
cmales
estimate
noChange
1.3
2000-2018 - -60 | -40 | (N/A) 1980-2018 - -40 | -20 | (N/A) 89108 4.7 2000-2018 - -30 | -15 | (N/A) 1980-2018 - -15 | -5 | (N/A) 91500 4.8
CY
1200
4700
N/A
cmales
estimate
genuine
0.1
2007-2018 - -40 | -6 | (N/A) 1980-2018 + 10 | 30 | (N/A) 1900 0.1 2007-2018 + N/A | N/A | (18) 1980-2018 x N/A 1900 0.1
CZ
5000
10000
N/A
cmales
estimate
noChange
#
0.4
2007-2018 - N/A | N/A | (-13) 1982-2018 + N/A | N/A | (9) # 67100 3.6 2002-2016 = N/A | N/A | (-5.45) 1986-2016 + N/A | N/A | (27.88) # 65000 3.4
DE
16000
30000
N/A
cmales
estimate
genuine
1.2
2004-2016 - N/A | N/A | (-38) 1980-2016 = -30 | 40 | (N/A) 292450 15.5 2004-2016 = -10 | 10 | (0) 1980-2016 + 41 | 180 | (N/A) 304000 15.9
DK
N/A
N/A
552
cmales
estimate
genuine
#
2011-2017 = -99.94 | 745.76 | (-67.22) 1980-2017 + 844.16 | 33181.7 | (5744.53) # 37200 2.0 1996-2017 + N/A | N/A | (300) 1974-2017 + N/A | N/A | (994.11) # 36900 1.9
EE
200
1000
N/A
cmales
estimate
knowledge
#
2006-2017 F N/A 1980-2017 F N/A 20400 1.1 2007-2018 F 26 | 46 | (N/A) 1980-2018 F 54 | 106 | (N/A) 10400 0.6
ES
285000
640000
N/A
cmales
interval
noChange
23.8
2007-2018 - N/A | N/A | (-53.32) 1980-2018 - N/A # 102855 5.5 2007-2018 - N/A | -11.2 | (N/A) 1980-2018 - N/A | -17.9 | (N/A) 108500 5.7
ESIC
N/A
N/A
295
cmales
minimum
genuine
#
2007-2018 u N/A 1980-2018 u N/A # 3500 0.2 2007-2018 - N/A | N/A | (-10) 1980-2018 x N/A # 3800 0.2
FI
150
500
330
cmales
estimate
noChange
#
2007-2018 = N/A N/A x N/A 23900 1.3 2007-2018 x N/A 1980-2010 + 468 | 468 | (N/A) 23900 1.2
FR
50000
300000
N/A
cmales
estimate
method
#
9.0
2007-2017 - -73 | -1.5 | (-49) 1996-2017 - -83 | -31 | (-66) 201500 10.7 2012-2018 u -42 | 20 | (N/A) 1985-2018 x N/A 200000 10.5
GR
4000
10000
N/A
cmales
estimate
knowledge
0.4
2007-2018 + N/A | N/A | (50) 1980-2018 x N/A 82600 4.4 2007-2018 x N/A 1980-2018 x N/A 76900 4.0
HR
N/A
N/A
52800
i
mean
N/A
#
N/A
2007-2018 x N/A 1980-2018 x N/A 12070 # 0.6 2007-2018 x N/A 1980-2018 x N/A 41000 2.1
HU
24000
27000
N/A
cmales
estimate
genuine
#
1.3
2007-2018 - -61 | -27 | (N/A) 1980-2018 x N/A # 69559 3.7 2008-2018 = N/A 1980-2018 = N/A # 70200 3.7
IE
1
20
N/A
cmales
estimate
noChange
2011-2018 u N/A 1980-2018 u N/A # 700 # 2011-2018 - N/A | N/A | (-12.5) 1972-2018 - N/A | N/A | (-67) # 700
IT
15000
30000
N/A
cmales
estimate
noChange
1.2
2000-2014 + 5 | 15 | (N/A) 1993-2018 + N/A | N/A | (200) 214000 11.3 2007-2018 = N/A 1993-2018 + 35 | 40 | (N/A) 213700 11.2
LT
2000
5000
N/A
cmales
estimate
noChange
0.2
2013-2018 = N/A 1980-2018 + 0 | 50 | (N/A) 14000 0.7 2006-2018 = 0 | 0 | (N/A) 1980-2018 + 30 | 40 | (N/A) 13900 0.7
LU
40
80
N/A
cmales
estimate
genuine
2007-2018 - -20 | -10 | (N/A) 1980-2018 - -50 | -20 | (N/A) 60 # 2007-2018 = 0 | 10 | (N/A) 1980-2018 = 0 | 10 | (N/A) 1800
LV
540
1000
N/A
cmales
estimate
method
2006-2018 - -71.4 | -17.2 | (-50.8) 1995-2018 F -86.04000 | 11084.94 | (N/A) # 12000 0.6 2000-2017 - N/A | N/A | (-39) 1980-2017 + N/A | N/A | (500) 12000 0.6
NL
2000
4000
N/A
cmales
estimate
genuine
0.1
2006-2017 - -37 | -16 | (-28) 1984-2017 + 17 | 133 | (66) 33000 1.8 2000-2015 = N/A | N/A | (6.1) 1977-2015 + N/A | N/A | (77.41) 30700 1.6
PL
38000
65000
N/A
cmales
interval
genuine
2.6
2007-2018 - -75 | -65 | (-70) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
50000
100000
N/A
cmales
estimate
method
#
3.9
2004-2018 = N/A 1980-2018 = N/A # 44300 # 2.4 2005-2018 - N/A | N/A | (-35) 1980-2018 x N/A # 43800 2.3
PTAC
15404
22829
18459
cmales
mean
noChange
#
0.9
2007-2017 - 0.1 | 50 | (N/A) 1980-2018 x N/A # 6300 # 0.3 2008-2018 = N/A | N/A | (7.5) 1980-2018 x N/A # 6300 0.3
PTMA
250
500
1
cmales
estimate
noChange
#
2008-2018 = N/A 1980-2018 = N/A 1200 2001-2018 + N/A | N/A | (1) 1980-2018 x N/A 900
RO
870770
1177084
N/A
cmales
interval
method
52.8
2008-2018 u -10 | 1 | (N/A) 1980-2018 x N/A 194500 10.3 2007-2018 x N/A 1980-2018 x N/A 191100 10.0
SE
600
1400
1000
cmales
estimate
noChange
2007-2018 u -71 | 63 | (N/A) 1980-2018 + 200 | 400 | (300) 151800 8.1 2007-2018 u -20 | 20 | (N/A) 1980-2018 u -20 | 20 | (N/A) # 151700 8.0
SI
700
1400
N/A
cmales
estimate
genuine
2008-2018 - N/A | N/A | (-47.8) 1980-2018 x N/A 6600 # 0.3 2007-2018 x N/A 1980-2018 + N/A | N/A | (108) # 5800 0.3
SK
2000
5000
N/A
cmales
estimate
genuine
#
0.2
2007-2018 - -40 | -20 | (N/A) 1980-2018 - -50 | -30 | (N/A) 48420 2.6 2007-2018 = N/A 1980-2018 = N/A 50700 2.7
UK
N/A
N/A
374
cmales
mean
genuine
#
2001-2016 - N/A | N/A | (-10) 1978-2016 - N/A | N/A | (-37) # 87200 4.6 1989-2009 + 8.73 | 8.73 | (N/A) 1970-2009 + 114.25 | 114.25 | (N/A) 86700 4.5
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 1130000 2490000 cmales x x 1690000 NE NE Unknown E B Unknown Coturnix coturnix