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, Hippolais icterina. 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
FI completeSurvey
FR estimatePartial
HR estimatePartial
HU estimatePartial
LT estimatePartial
LU estimateExpert
LV completeSurvey
NL completeSurvey
PL completeSurvey
RO completeSurvey
SE estimatePartial
SI completeSurvey
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
BE completeSurvey
BG estimateExpert
CZ completeSurvey
DE estimateExpert
DK completeSurvey
EE estimatePartial
FI completeSurvey
FR estimatePartial
HR estimatePartial
HU completeSurvey
LT estimatePartial
LU absentData
LV completeSurvey
NL completeSurvey
PL absentData
RO estimatePartial
SE estimatePartial
SI estimatePartial
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
BE
BG
CZ
DE
DK
EE
FI
FR
HR
HU
LT
LU
LV
NL
PL
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
13000
27000
N/A
p
estimate
genuine
1.4
2007-2018 + N/A | N/A | (28) 1981-2018 x N/A 36200 3.1 2007-2018 = N/A | N/A | (6) 1981-2018 x N/A 34400 3.0
BE
3600
7700
5600
p
estimate
genuine
0.4
2008-2018 - -52 | 3 | (-25) 1973-2018 - -61 | -16 | (-39) 22845 # 2.0 2008-2018 = N/A 1973-2018 - N/A | N/A | (-7.07000) 23000 2.0
BG
300
1000
N/A
p
estimate
noChange
2001-2018 + 10 | 20 | (N/A) 1980-2018 = 5 | 10 | (N/A) 7919 0.7 2001-2018 = 0 | 5 | (N/A) 1980-2018 = 0 | 5 | (N/A) 8700 0.8
CZ
35000
70000
N/A
p
estimate
noChange
#
3.5
2007-2018 - N/A | N/A | (-4) 1982-2018 - N/A | N/A | (-3) # 68900 5.9 2002-2016 = N/A | N/A | (-2.88) 1986-2016 = N/A | N/A | (-2.21) # 67200 5.9
DE
100000
150000
N/A
p
estimate
genuine
8.4
2004-2016 - -31 | -10 | (-21) 1980-2016 - N/A | N/A | (-41) 216457 18.6 2004-2016 - -30 | -11 | (N/A) 1980-2016 - -65 | -26 | (N/A) 228000 19.9
DK
N/A
N/A
39009
p
estimate
genuine
#
2.6
2006-2017 - -46.38 | -5.16 | (-28.44) 1980-2017 - -76.41 | -63.74 | (-70.74) # 57900 5.0 1996-2017 = N/A | N/A | (1.93) 1974-2017 = N/A | N/A | (-1.4) # 57900 5.0
EE
150000
200000
N/A
p
estimate
genuine
11.8
2007-2018 + 15 | 17 | (N/A) 1983-2018 = N/A 52000 4.5 2007-2018 = -3 | -2 | (N/A) 1980-2018 = 1 | 2 | (N/A) 25100 2.2
FI
16955
41059
28756
p
mean
genuine
1.9
2007-2018 u -3 | 130 | (54) 1980-2018 = -55 | 39 | (-20) 71000 6.1 N/A N/A N/A 1980-2010 + 12 | 12 | (N/A) 71000 6.2
FR
1500
2500
N/A
p
estimate
method
0.1
2007-2017 x N/A 1989-2017 - -75 | -50 | (N/A) # 7500 0.6 2013-2018 - -22.7 | -22.7 | (N/A) 1989-2018 - -68 | -68 | (N/A) # 6600 0.6
HR
300
500
N/A
p
estimate
N/A
2001-2011 = N/A 1980-2018 x N/A 168 2001-2011 = N/A 1980-2018 x N/A 1300 0.1
HU
3000
5000
N/A
p
estimate
knowledge
#
0.3
2007-2018 x N/A 1980-2018 x N/A 21015 1.8 2007-2018 = N/A 1980-2018 x N/A # 21500 1.9
LT
60000
90000
N/A
p
estimate
noChange
5.1
2013-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 73500 6.3 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 71500 6.2
LU
N/A
N/A
0
p
estimate
genuine
#
2007-2018 x N/A 1980-2018 - -100 | -100 | (N/A) 0.00000 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 - -100 | -100 | (N/A) N/A N/A
LV
133529
239768
178930
p
interval
genuine
12.1
2005-2018 + 82.5 | 292.2 | (169) 1991-2016 + 140 | 143 | (N/A) 59600 5.1 2000-2017 = N/A | N/A | (-9.7) 1980-2017 + N/A | N/A | (30) 57900 5.0
NL
10000
15000
N/A
p
estimate
knowledge
0.8
2006-2017 + 4 | 30 | (17) 1984-2017 - -64 | -45 | (-55) 41700 3.6 2000-2015 = N/A | N/A | (-5.44) 1977-2015 = N/A | N/A | (-5.65) 39400 3.4
PL
410000
540000
N/A
p
interval
genuine
32.1
2007-2018 - -25 | -5 | (-15) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
RO
113072
311365
N/A
p
interval
method
14.3
2008-2018 u -4 | 8 | (N/A) 1980-2018 x N/A 33100 2.8 2007-2018 x N/A 1980-2018 x N/A 32900 2.9
SE
51000
67000
58000
p
estimate
genuine
3.9
2007-2018 + 2 | 34 | (17) 1980-2018 = -10 | 50 | (0) 354100 30.4 2007-2018 = N/A 1980-2018 = N/A 354100 30.9
SI
0
5
N/A
p
estimate
knowledge
2008-2018 x N/A 1980-2018 x N/A 0.00000 # 2007-2018 x N/A 1980-2018 - N/A | N/A | (-100) # N/A N/A
SK
10000
20000
N/A
p
estimate
noChange
1.0
2007-2018 = N/A 1980-2018 = N/A 42721 3.7 2007-2018 = N/A 1980-2018 = N/A 45900 4.0
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 1030000 1520000 p = - 1130000 NE NE Secure A B Unknown Hippolais icterina