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.

Warning: The map does not show the distribution for sensitive species in LT

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.

Sensitive spatial information for this species is not shown in the map. Current selection: 2013-2018, Caprimulgus europaeus. 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
CY estimateExpert
CZ completeSurvey
DE estimateExpert
DK estimatePartial
EE estimateExpert
ES completeSurvey
FI estimatePartial
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU estimatePartial
IT estimateExpert
LT estimatePartial
LU estimateExpert
LV estimatePartial
NL completeSurvey
PL estimateExpert
PT 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
FI completeSurvey
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimatePartial
LT estimatePartial
LU estimateExpert
LV completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
RO estimatePartial
SE estimatePartial
SI absentData
SK estimateExpert
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
FI
FR
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
250
350
N/A
cmales
estimate
method
0.1
2007-2018 = N/A | N/A | (0) 1981-2018 x N/A 5900 0.4 2007-2018 = N/A | N/A | (9) 1981-2018 = N/A | N/A | (0) 5600 0.4
BE
620
1020
820
cmales
mean
genuine
0.3
2008-2018 + 20 | 20 | (20) 1973-2018 + 29 | 113 | (71) # 5758 # 0.4 2008-2018 + N/A | N/A | (14.5) 1973-2018 - N/A | N/A | (-40.46) 5500 0.4
BG
10000
20000
N/A
cmales
estimate
knowledge
5.8
2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 68939 5.1 2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 71800 5.3
CY
1500
3000
N/A
cmales
estimate
noChange
0.9
2007-2018 = 0 | 0 | (N/A) 1980-2018 x N/A 5500 0.4 2007-2018 + N/A | N/A | (17) 1980-2018 x N/A 5500 0.4
CZ
200
400
N/A
cmales
estimate
genuine
0.1
2007-2018 x N/A 1980-2018 x N/A # 5300 0.4 2002-2016 - N/A | N/A | (-41.75) 1986-2016 - N/A | N/A | (-63.44) # 5300 0.4
DE
6500
8500
N/A
cmales
estimate
noChange
2.9
2004-2016 = N/A | N/A | (3) 1980-2016 = N/A | N/A | (4) 61334 4.5 2004-2016 = -10 | 10 | (N/A) 1980-2016 - -65 | -26 | (N/A) 63000 4.7
DK
N/A
N/A
550
cmales
estimate
noChange
0.2
2004-2017 = N/A 1980-2017 = N/A 14000 1.0 1996-2017 + N/A | N/A | (79) 1974-2017 + N/A | N/A | (30) # 13900 1.0
EE
5000
10000
N/A
cmales
estimate
knowledge
2.9
2006-2017 = -10 | 10 | (N/A) 1980-2017 - -50 | -20 | (N/A) 36500 2.7 2007-2018 = N/A | N/A | (7) 1980-2018 - N/A | N/A | (-19) 20600 1.5
ES
21708
28208
N/A
cmales
minimum
knowledge
#
9.7
2007-2018 = N/A 1980-2018 - N/A | N/A | (-20) 58890 4.3 2007-2018 = N/A 1980-2018 - N/A 60000 4.4
FI
5000
7000
6000
cmales
estimate
genuine
2.3
2007-2018 + N/A | N/A | (19) 1985-2018 + N/A | N/A | (415) 51200 3.8 N/A N/A N/A 1980-2010 - 5 | 5 | (N/A) 51200 3.8
FR
40000
80000
N/A
cmales
estimate
method
23.3
2007-2017 x N/A 1989-2017 x N/A 164800 12.2 2012-2018 = -19 | 9 | (N/A) 1989-2018 = N/A 164200 12.2
GR
10000
30000
N/A
cmales
estimate
noChange
7.8
2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) 201600 14.9 2007-2018 x N/A 1980-2018 x N/A 199000 14.7
HR
6500
10000
N/A
cmales
estimate
N/A
3.2
2007-2018 x N/A 1980-2018 x N/A 9623 0.7 2007-2018 x N/A 1980-2018 x N/A 19700 1.5
HU
6000
10000
N/A
cmales
estimate
knowledge
#
3.1
2007-2018 = N/A 1980-2018 = N/A # 25783 1.9 2007-2018 = N/A 1980-2018 x N/A # 26800 2.0
IT
10000
30000
N/A
cmales
estimate
noChange
7.8
2007-2018 x N/A 1993-2018 + N/A | N/A | (100) 204600 15.1 2007-2018 = N/A 1993-2018 + 95 | 100 | (N/A) 203900 15.1
LT
5000
7000
N/A
cmales
estimate
genuine
2.3
2013-2018 + N/A | N/A | (10) 1980-2018 = 0 | 0 | (N/A) 10900 0.8 2006-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 10800 0.8
LU
N/A
N/A
0
cmales
estimate
genuine
#
2007-2018 F N/A 1980-2018 - -100 | -75 | (N/A) 0.00000 # 2007-2018 x N/A 1980-2018 - -100 | -90 | (N/A) N/A N/A
LV
16500
31000
N/A
cmales
estimate
method
9.2
2004-2017 x N/A 1991-2017 + 480 | 486 | (N/A) 26400 1.9 2000-2017 - N/A | N/A | (-14) 1980-2017 = N/A | N/A | (14) 26300 1.9
NL
2500
3100
N/A
cmales
estimate
genuine
1.1
2006-2017 + 72 | 112 | (91) 1980-2017 + 567 | 614 | (590) 13000 1.0 2000-2015 + N/A | N/A | (44.44) 1977-2015 = N/A | N/A | (9.24) 11800 0.9
PL
8000
12000
N/A
cmales
estimate
knowledge
3.9
2007-2018 x N/A 1980-2018 x N/A N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
1000
5000
N/A
cmales
estimate
method
#
1.2
2009-2017 + N/A 1980-2018 x N/A # 18600 # 1.4 2005-2018 = N/A | N/A | (-13) 1980-2018 = N/A # 18600 1.4
RO
7144
11207
N/A
cmales
interval
N/A
#
3.6
2014-2018 u 0 | 48 | (N/A) 1980-2018 x N/A 116300 8.6 2007-2018 x N/A 1980-2018 x N/A 116000 8.6
SE
10000
18000
14000
cmales
estimate
genuine
5.4
2007-2018 + 40 | 154 | (89) 1980-2018 + 100 | 300 | (200) 190800 14.1 2007-2018 = N/A 1980-2018 = N/A 190800 14.1
SI
1900
2400
N/A
cmales
estimate
knowledge
0.8
2002-2017 = N/A 1980-2017 = N/A 3900 # 0.3 2007-2018 x N/A 1980-2018 = N/A | N/A | (17) # 3700 0.3
SK
500
1000
N/A
cmales
estimate
knowledge
0.3
2007-2018 - -40 | -20 | (N/A) 1980-2018 - -40 | -20 | (N/A) 21762 1.6 2007-2018 - -20 | -10 | (N/A) 1980-2018 - -20 | -10 | (N/A) 22800 1.7
UK
3693
5519
4606
cmales
interval
noChange
#
1.8
1992-2004 + N/A | N/A | (34) 1981-2004 + N/A | N/A | (97) # 32300 # 2.4 1989-2009 + 17.45 | 17.45 | (N/A) 1970-2009 - -45.25 | -45.25 | (N/A) 34100 2.5
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 172000 325000 cmales x x 1230000 NE NE Unknown E B Unknown Caprimulgus europaeus