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, Phoenicurus ochruros. 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
CZ completeSurvey
DE completeSurvey
DK estimatePartial
EE estimateExpert
ES completeSurvey
FI estimatePartial
FR estimatePartial
GIB
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 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
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
ES completeSurvey
FI completeSurvey
FR completeSurvey
GIB
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 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
CZ
DE
DK
EE
ES
FI
FR
GIB estimatePartial
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
130000
220000
N/A
p
estimate
knowledge
2.8
2007-2018 = N/A | N/A | (7) 1981-2018 x N/A 93700 4.2 2007-2018 = N/A | N/A | (7) 1981-2018 x N/A 84900 3.8
BE
20400
32800
26600
p
estimate
method
#
0.4
2008-2018 u -23 | 9 | (-9) 1973-2018 + 36 | 119 | (77) # 30614 # 1.4 2008-2018 = N/A 1973-2018 = N/A 31800 1.4
BG
30000
60000
N/A
p
estimate
noChange
0.7
2000-2018 F N/A 1980-2018 + 10 | 20 | (N/A) 47150 2.1 2000-2018 + 10 | 15 | (N/A) 1980-2018 = 1 | 5 | (N/A) 49800 2.2
CZ
200000
400000
N/A
p
estimate
noChange
#
4.8
2007-2018 - N/A | N/A | (-2) 1982-2018 + N/A | N/A | (1) # 83800 3.8 2002-2016 = N/A | N/A | (0) 1986-2016 = N/A | N/A | (-0.15) # 79800 3.6
DE
800000
1100000
N/A
p
estimate
noChange
15.1
2004-2016 = -7 | 7 | (0) 1980-2016 = N/A | N/A | (-13) 356372 16.0 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 371100 16.8
DK
N/A
N/A
584
p
estimate
genuine
#
2006-2017 = -16.97 | 179.56 | (54.71) 1991-2017 = -46.15 | 15.34 | (-20.98) # 37500 1.7 1996-2017 + N/A | N/A | (32.97) 1974-2017 + N/A | N/A | (298.93) # 37300 1.7
EE
4000
8000
N/A
p
estimate
knowledge
0.1
2006-2017 = 0 | 15 | (N/A) 1980-2017 + -6 | 15 | (N/A) 32100 1.4 2007-2018 + 15 | 143 | (N/A) 1980-2018 + 92 | 1046 | (N/A) 16800 0.8
ES
740000
1115000
N/A
p
interval
noChange
14.7
2007-2018 + N/A 1980-2018 + N/A 185560 8.3 1998-2018 = N/A 1980-2018 + N/A | 76.2 | (N/A) 195000 8.8
FI
100
200
150
p
estimate
genuine
2007-2018 - N/A | N/A | (25) 1981-2018 + N/A 8600 0.4 N/A N/A N/A 1980-2010 + 618 | 618 | (N/A) 8600 0.4
FR
600000
1300000
N/A
p
estimate
knowledge
15.1
2007-2018 - N/A | N/A | (-8.25) 2001-2018 = N/A | N/A | (-6) # 515200 # 23.1 2007-2017 = 0 | 0 | (N/A) 1985-2013 = 0 | 0 | (N/A) 509800 23.0
GIB
101 250 250 i mean noChange N/A 2001-2018 = 0 | 0 | (0) 1980-2018 = 0 | 0 | (0) other
GR
10000
30000
N/A
p
estimate
noChange
0.3
2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) 45700 2.0 2007-2018 x N/A 1980-2018 x N/A 43900 2.0
HR
50000
100000
N/A
p
estimate
N/A
1.2
2007-2018 x N/A 1980-2018 x N/A 22100 1.0 2007-2018 x N/A 1980-2018 x N/A 20900 0.9
HU
172000
181000
N/A
p
interval
method
#
2.8
2007-2018 + 59 | 135 | (N/A) 1980-2018 + 102 | 190 | (N/A) # 93030 4.2 2007-2018 = N/A 1980-2018 = N/A # 95200 4.3
IT
200000
400000
N/A
p
estimate
noChange
4.8
2012-2017 + 0 | 10 | (N/A) 1993-2018 = N/A 173200 7.8 2007-2018 + 10 | 15 | (N/A) 1993-2018 + 50 | 55 | (N/A) 168900 7.6
LT
30000
50000
N/A
p
estimate
noChange
0.6
2013-2018 = N/A 1980-2018 + 10 | 20 | (N/A) 35200 1.6 2006-2018 = 0 | 0 | (N/A) 1980-2012 = 0 | 0 | (N/A) 34700 1.6
LU
8000
10000
N/A
p
estimate
noChange
#
0.1
2007-2018 = 0 | 10 | (N/A) 1980-2018 x N/A 1206 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2400 0.1
LV
16627
37514
24974
p
interval
genuine
0.4
2005-2018 + 70.9 | 846.1 | (313.6) 1991-2016 + 4237 | 4372 | (N/A) 47700 2.1 2000-2017 + N/A | N/A | (28) 1980-2017 + N/A | N/A | (536) 47500 2.1
NL
13000
20000
N/A
p
estimate
knowledge
0.3
2006-2017 = -5 | 24 | (9) 1984-2017 = -35 | 236 | (49) # 41200 1.9 2000-2015 = N/A | N/A | (-4.62) 1977-2015 + N/A | N/A | (16.05000) 37500 1.7
PL
1061000
1378000
N/A
p
interval
genuine
19.3
2007-2018 = -6 | 10 | (2) 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
p
estimate
noChange
#
1.2
2004-2018 + N/A 1980-2018 + N/A # 62900 # 2.8 2005-2018 = N/A | N/A | (2) 1980-2018 = N/A # 62200 2.8
RO
508549
803573
N/A
p
interval
method
10.4
2008-2018 u -2 | 12 | (N/A) 1980-2018 x N/A 183200 8.2 2007-2018 x N/A 1980-2018 x N/A 182300 8.2
SE
400
800
600
p
estimate
noChange
2007-2018 = -30 | 30 | (0) 1980-2018 + 5 | 45 | (25) 54400 2.4 2007-2018 = N/A 1980-2018 + 10 | 30 | (20) 54300 2.5
SI
132000
192500
N/A
p
estimate
genuine
2.6
2008-2018 + N/A | N/A | (17.2) 1980-2018 x N/A 14100 # 0.6 2007-2018 x N/A 1980-2018 + N/A | N/A | (22) # 13500 0.6
SK
100000
200000
N/A
p
estimate
noChange
2.4
2007-2018 = N/A 1980-2018 = N/A 49020 2.2 2007-2018 = N/A 1980-2018 = N/A 52200 2.4
UK
N/A
N/A
58
p
mean
genuine
#
2001-2016 = N/A | N/A | (7) 1976-2016 - N/A | N/A | (-29) 13300 0.6 1989-2009 + 29.13 | 29.13 | (N/A) 1970-2009 + 95.59 | 95.59 | (N/A) 13300 0.6
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 4360000 6940000 p = + 2040000 NE NE Secure A B Secure Phoenicurus ochruros