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, Luscinia megarhynchos. 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
CY estimateExpert
CZ completeSurvey
DE completeSurvey
ES estimatePartial
FR estimatePartial
GR estimatePartial
HR completeSurvey
HU completeSurvey
IT estimateExpert
LU estimatePartial
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO completeSurvey
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
CY estimatePartial
CZ completeSurvey
DE estimateExpert
ES completeSurvey
FR completeSurvey
GR estimatePartial
HR completeSurvey
HU completeSurvey
IT estimatePartial
LU estimatePartial
NL completeSurvey
PL absentData
PT estimatePartial
RO completeSurvey
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
ES
FR
GR
HR
HU
IT
LU
NL
PL
PT
RO
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
10000
18000
N/A
p
estimate
method
0.1
2007-2018 = N/A | N/A | (1) 1981-2018 x N/A 16000 0.8 2007-2018 = N/A | N/A | (4) 1981-2018 x N/A 14200 0.7
BE
1700
2500
2100
p
estimate
noChange
2008-2018 = -17 | 22 | (2) 1973-2018 - -56 | -36 | (-46) 18187 # 0.9 2008-2018 = N/A 1973-2018 - N/A | N/A | (-22.18) 20000 1.0
BG
200000
500000
N/A
p
estimate
noChange
3.4
2000-2018 - -6 | -5 | (N/A) 1980-2018 = 0 | 5 | (N/A) 103838 5.3 2000-2018 - -5 | -1 | (N/A) 1980-2018 = 0 | 0 | (N/A) # 107600 5.5
CY
1000
3000
N/A
p
estimate
noChange
2007-2018 = 0 | 0 | (N/A) 1980-2018 - -30 | -10 | (N/A) 2200 0.1 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 2200 0.1
CZ
8000
16000
N/A
p
estimate
noChange
#
0.1
2007-2018 = N/A | N/A | (-2) 1982-2018 + N/A | N/A | (1) # 41900 2.1 2002-2016 = N/A | N/A | (8.86) 1986-2016 + N/A | N/A | (35.43) # 41000 2.1
DE
84000
155000
N/A
p
estimate
genuine
1.1
2004-2016 + 14 | 40 | (26) 1980-2016 + N/A | N/A | (50) 227935 11.7 2004-2016 = -10 | 10 | (N/A) 1980-2016 = -30 | 40 | (N/A) 235100 11.9
ES
4775000
5940000
N/A
p
interval
noChange
51.6
1998-2018 = N/A 1980-2018 + 16 | 33 | (N/A) 206946 10.6 1998-2018 + N/A 1980-2018 + N/A | 19.7 | (N/A) 217700 11.0
FR
500000
1000000
N/A
p
estimate
knowledge
7.2
2007-2018 - N/A | N/A | (-16.9) 2001-2018 = N/A | N/A | (0) 379000 19.5 2007-2017 = N/A 1985-2017 - -7 | -3 | (N/A) 377400 19.1
GR
70000
90000
N/A
p
estimate
knowledge
0.8
2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) 194100 10.0 2007-2018 x N/A 1980-2018 x N/A 189000 9.6
HR
526603
612105
N/A
p
interval
N/A
5.5
2007-2018 x N/A 1980-2018 x N/A 52318 2.7 2007-2018 x N/A 1980-2018 x N/A 72900 3.7
HU
493000
505000
N/A
p
interval
method
#
4.8
2007-2018 = N/A 1980-2018 = N/A # 93030 # 4.8 2007-2018 = N/A 1980-2018 = N/A 95000 4.8
IT
1000000
1500000
N/A
p
estimate
noChange
12.0
2012-2017 = N/A 1993-2018 + 50 | 100 | (N/A) 293600 15.1 2007-2018 = N/A 1993-2018 + 5 | 10 | (N/A) 293000 14.8
LU
300
500
N/A
p
estimate
noChange
#
2007-2018 = 0 | 0 | (N/A) 1980-2018 x N/A 270 # 2007-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 1000
NL
5900
7300
N/A
p
estimate
noChange
2006-2017 = -16 | 3 | (-7) 1984-2017 = -20 | 19 | (-3) 26000 1.3 2000-2015 - N/A | N/A | (-20.48) 1977-2015 - N/A | N/A | (-21.21) 25400 1.3
PL
145000
193000
N/A
p
interval
knowledge
1.6
2007-2018 + 12 | 61 | (34) 1980-2018 x N/A # N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
100000
500000
N/A
p
estimate
method
#
2.9
2004-2018 = N/A 1980-2018 = N/A # 73200 # 3.8 2005-2018 = N/A | N/A | (-15) 1980-2018 = N/A # 72100 3.6
RO
714687
1010434
N/A
p
interval
method
8.3
2008-2018 + 1 | 9 | (N/A) 1980-2018 x N/A 143300 7.4 2007-2018 x N/A 1980-2018 x N/A 138000 7.0
SI
15200
19700
N/A
p
estimate
knowledge
0.2
2008-2018 = N/A | N/A | (-14.9) 1980-2018 x N/A # 6100 # 0.3 2007-2018 x N/A 1980-2018 + N/A | N/A | (68) # 5400 0.3
SK
10000
20000
N/A
p
estimate
noChange
0.1
2007-2018 = N/A 1980-2018 = N/A 32165 1.6 2007-2018 = N/A 1980-2018 = N/A 32800 1.7
UK
5090
5995
5542
p
interval
genuine
#
2004-2016 - N/A | N/A | (-31.76) 1980-2016 - N/A | N/A | (-84.04000) # 36600 1.9 1989-2009 - -19.91 | -19.91 | (N/A) 1970-2009 - -42.72 | -42.72 | (N/A) 36000 1.8
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 8750000 12700000 p = + 1800000 NE NE Secure A B Secure Luscinia megarhynchos