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, Upupa epops. 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 completeSurvey
BG estimatePartial
CY estimateExpert
CZ completeSurvey
DE completeSurvey
EE estimateExpert
ES estimatePartial
ESIC estimateExpert
FR estimatePartial
GR estimatePartial
HR estimateExpert
HU completeSurvey
IT estimateExpert
LT estimatePartial
LV estimatePartial
PL completeSurvey
PT estimatePartial
PTMA estimatePartial
RO estimateExpert
SE completeSurvey
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 estimatePartial
CY estimatePartial
CZ completeSurvey
DE estimateExpert
EE estimatePartial
ES completeSurvey
ESIC absentData
FR estimatePartial
GR estimatePartial
HR completeSurvey
HU completeSurvey
IT estimatePartial
LT estimatePartial
LV completeSurvey
PL absentData
PT estimatePartial
PTMA completeSurvey
RO completeSurvey
SE completeSurvey
SI estimateExpert
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
CY
CZ
DE
EE
ES
ESIC
FR
GR
HR
HU
IT
LT
LV
PL
PT
PTMA
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
450
650
N/A
p
estimate
genuine
2007-2018 - -20 | -10 | (N/A) 1981-2018 - -60 | -30 | (N/A) 18300 1.2 2007-2018 - N/A | N/A | (-29) 1981-2018 = N/A | N/A | (0) 17700 1.1
BE
0
1
0
p
estimate
noChange
#
2008-2018 = N/A 1973-2018 - -100 | -67 | (-100) # 290 # 2008-2018 = N/A 1973-2018 - N/A | N/A | (-54.9) 3400 0.2
BG
10000
20000
N/A
p
estimate
knowledge
0.8
2001-2018 x N/A 1980-2018 = 5 | 10 | (N/A) 92838 5.9 2001-2018 - -20 | -10 | (N/A) 1980-2018 = 5 | 10 | (N/A) 95800 5.9
CY
400
1000
N/A
p
estimate
genuine
2007-2018 - -17 | 0 | (N/A) 1980-2018 - -30 | -10 | (N/A) 5200 0.3 2007-2018 + N/A | N/A | (15) 1980-2018 x N/A 5200 0.3
CZ
60
120
N/A
p
estimate
noChange
#
2007-2018 x N/A 1980-2018 x N/A # 13300 0.8 2002-2016 = N/A | N/A | (6.66) 1986-2016 + N/A | N/A | (31.95) # 12800 0.8
DE
800
950
N/A
p
estimate
genuine
2004-2016 + N/A | N/A | (56) 1980-2016 + N/A | N/A | (175) 37059 2.4 2004-2016 + 11 | 40 | (N/A) 1980-2016 = -30 | 40 | (N/A) 38600 2.4
EE
5
20
N/A
p
estimate
noChange
2006-2017 = -10 | 10 | (N/A) 1980-2017 = -10 | 10 | (N/A) 3300 0.2 2007-2018 = N/A | N/A | (5) 1980-2018 - N/A | N/A | (-64) 3200 0.2
ES
714769
1199594
N/A
p
interval
knowledge
53.7
2007-2018 + N/A 1980-2018 = N/A 228507 14.6 2007-2018 = N/A 1980-2018 = N/A 241500 14.9
ESIC
2500
10000
N/A
p
minimum
noInfo
#
0.3
2007-2018 u N/A 1980-2018 u N/A # 7300 0.5 2007-2018 - N/A | N/A | (-8) 1980-2018 u N/A # 8300 0.5
FR
60000
110000
N/A
p
estimate
method
4.8
2007-2018 - N/A | N/A | (-15.2) 2001-2017 + 5 | 15 | (N/A) 290900 18.6 2013-2018 = N/A | N/A | (1) 1989-2018 = N/A 290600 18.0
GR
60000
80000
N/A
p
estimate
knowledge
3.9
2007-2018 x N/A 1980-2018 = 0 | 0 | (N/A) 179300 11.5 2007-2018 x N/A 1980-2018 x N/A 176200 10.9
HR
5000
10000
N/A
p
estimate
N/A
0.4
2007-2018 x N/A 1980-2018 x N/A 23155 1.5 2007-2018 x N/A 1980-2018 x N/A 62700 3.9
HU
9200
11500
N/A
p
estimate
knowledge
#
0.6
2007-2018 + 49 | 69 | (N/A) 1980-2018 = N/A # 55082 3.5 2007-2018 = N/A 1980-2018 = N/A 55700 3.5
IT
20000
50000
N/A
p
estimate
noChange
2.0
2012-2017 = N/A 1993-2018 + 300 | 400 | (N/A) 280700 17.9 2007-2018 = N/A 1993-2018 + 40 | 45 | (N/A) 280000 17.3
LT
400
670
N/A
p
estimate
knowledge
2013-2018 = N/A 1980-2018 + 10 | 15 | (N/A) 10100 0.7 2006-2018 + 0 | 5 | (N/A) 1980-2018 + 10 | 20 | (N/A) 10100 0.6
LV
250
450
N/A
p
estimate
genuine
2000-2018 + 64.58 | 71.78 | (67.7) 1991-2017 + 85 | 101 | (N/A) 13100 0.8 2000-2017 + N/A | N/A | (77) 1980-2017 + N/A | N/A | (122) 13100 0.8
PL
43000
66000
N/A
p
interval
genuine
3.1
2007-2018 - -31 | -3 | (-18) 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
noChange
#
16.8
2004-2018 = N/A 1980-2018 = N/A # 71400 # 4.6 2005-2018 = N/A | N/A | (-18) 1980-2018 = N/A # 70200 4.3
PTMA
500
1000
N/A
p
estimate
noChange
#
2008-2018 = N/A 1980-2018 = N/A 400 2001-2018 = N/A 1980-2018 x N/A 400
RO
43000
430000
N/A
p
estimate
knowledge
13.3
2008-2018 u -10 | 0 | (N/A) 1980-2018 x N/A 194500 12.4 2007-2018 = N/A 1980-2018 x N/A 190500 11.8
SE
0
5
2
p
estimate
noChange
2007-2018 F -100 | 250 | (N/A) 1980-2018 F -100 | 500 | (N/A) 200 2007-2018 u -20 | 20 | (N/A) 1980-2018 u -20 | 20 | (N/A) # 200
SI
450
750
N/A
p
estimate
noChange
2008-2018 u 0 | 10 | (N/A) 1980-2018 - -30 | -20 | (N/A) # 7400 # 0.5 2007-2018 x N/A 1980-2018 = N/A | N/A | (5) # 6600 0.4
SK
500
800
N/A
p
estimate
noChange
2007-2018 - -20 | -10 | (N/A) 1980-2018 - -25 | -10 | (N/A) 31497 2.0 2007-2018 - -10 | -1 | (N/A) 1980-2018 - -25 | -10 | (N/A) 33200 2.0
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 1020000 2070000 p = = 1360000 NE NE Secure A B Secure Upupa epops