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, Himantopus himantopus. 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 estimatePartial
CZ completeSurvey
DE estimateExpert
ES estimatePartial
ESIC completeSurvey
FR completeSurvey
GR estimatePartial
HR completeSurvey
HU completeSurvey
IT estimateExpert
LT estimateExpert
MT completeSurvey
NL completeSurvey
PL completeSurvey
PT estimatePartial
RO estimateExpert
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 estimateExpert
CY estimatePartial
CZ completeSurvey
DE estimateExpert
ES completeSurvey
ESIC completeSurvey
FR estimatePartial
GR estimatePartial
HR estimatePartial
HU completeSurvey
IT estimatePartial
LT absentData
MT completeSurvey
NL completeSurvey
PL absentData
PT estimatePartial
RO 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
ES completeSurvey
ESIC
FR
GR
HR
HU
IT
LT
MT
NL
PL
PT completeSurvey
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
60
210
N/A
p
estimate
genuine
0.2
2007-2018 + N/A | N/A | (22) 1991-2018 + N/A | N/A | (1900) # 700 0.3 2007-2018 = N/A | N/A | (0) 1991-2018 + 50 | 150 | (N/A) # 600 0.2
BE
12
27
20
p
estimate
genuine
2008-2018 + 380 | 980 | (700) 1973-2018 + 2300 | 5300 | (3900) # 3467 # 1.3 2008-2018 + N/A | N/A | (702.55) 1973-2018 + N/A | N/A | (690) 3400 1.3
BG
300
450
N/A
p
estimate
noChange
0.7
2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 7107 2.8 2001-2018 = 0 | 0 | (N/A) 1980-2018 = 0 | 0 | (N/A) 7800 3.0
CY
50
200
N/A
p
estimate
noChange
#
0.2
2007-2018 = 0 | 0 | (N/A) 1980-2018 + 100 | 200 | (N/A) 1300 0.5 2007-2018 = 0 | 0 | (N/A) 1980-2018 + 50 | 100 | (N/A) 1300 0.5
CZ
10
18
N/A
p
estimate
noChange
#
2001-2017 + N/A | N/A | (0) 1980-2019 + N/A | N/A | (0) # 1600 0.6 2002-2016 + N/A | N/A | (280) 1986-2016 + N/A | N/A | (375) # 1600 0.6
DE
3
7
N/A
p
mean
genuine
2004-2016 x N/A 1980-2016 x N/A 1487 # 0.6 2004-2016 + 41 | 100 | (N/A) 1980-2016 x N/A 1700 0.7
ES
12772
55929
N/A
p
interval
knowledge
60.7
2007-2018 + N/A | N/A | (3) 1980-2018 + N/A | N/A | (2.5) 65076 25.1 2007-2018 = N/A 1980-2018 + N/A | N/A | (58) 8955 13882 10873 i estimate knowledge 89.0 2007-2018 + 1.1 | 3 | (2.1) 1980-2018 + N/A | N/A | (12) I 68700 26.2
ESIC
N/A
N/A
46
p
minimum
genuine
#
2007-2018 F N/A 1980-2018 + N/A | N/A | (283) # 1900 0.7 2007-2018 + N/A | N/A | (32) 1980-2018 = N/A | N/A | (0) # 1900 0.7
FR
2600
3650
N/A
p
estimate
noChange
5.5
2007-2018 x N/A 1980-2018 x N/A 35400 13.7 2009-2018 u -1 | 15 | (N/A) 1985-2018 + 50 | 150 | (N/A) 35300 13.4
GR
1300
2500
N/A
p
estimate
knowledge
3.4
2007-2018 = N/A | N/A | (0) 1980-2018 F N/A 13200 5.1 2007-2018 = N/A | N/A | (0) 1980-2018 = N/A | N/A | (0) 12200 4.7
HR
108
146
N/A
p
estimate
N/A
0.2
2007-2018 + N/A | N/A | (20) 1995-2018 + N/A | N/A | (10000) 118 2007-2018 + 200 | 200 | (N/A) 1995-2018 + 1600 | 1600 | (N/A) 2100 0.8
HU
590
675
N/A
p
estimate
knowledge
#
1.1
2007-2018 F N/A 1980-2017 + 2150 | 2260 | (N/A) # 18206 7.0 2007-2018 F N/A 1980-2018 + N/A | N/A | (1114) # 16600 6.3
IT
3400
5500
N/A
p
estimate
genuine
7.9
2007-2018 x N/A 1993-2018 + 135 | 235 | (N/A) 50400 19.5 2007-2018 + 10 | 15 | (N/A) 1993-2018 + 265 | 270 | (N/A) 50400 19.2
LT
0
3
N/A
p
estimate
noChange
2013-2018 = N/A 1980-2018 = N/A # 100 2006-2018 + 0 | 300 | (N/A) 1980-2018 + 0 | 300 | (N/A) 100
MT
3
6
N/A
p
estimate
genuine
#
2011-2018 + N/A | N/A | (100) 1980-2018 + N/A | N/A | (100) # 2 # 2011-2018 + N/A | N/A | (100) 1980-2018 + N/A | N/A | (100) # 200
NL
5
51
N/A
p
estimate
genuine
2006-2017 + 533 | 3362 | (1429) 1980-2017 + 537 | 3771 | (1488) 3400 1.3 2000-2015 + N/A | N/A | (70) 1977-2015 + N/A | N/A | (750) 3400 1.3
PL
0
7
N/A
p
estimate
genuine
2007-2018 F N/A 1980-2018 F N/A N/A N/A 2007-2018 x N/A 1980-2018 x N/A N/A N/A
PT
2000
5000
N/A
p
estimate
noChange
#
6.2
2007-2018 + N/A 1980-2018 + N/A # 13300 # 5.1 2005-2018 - N/A | N/A | (-35) 1980-2018 x N/A # 837 1933 1339 i mean N/A 11.0 2007-2018 u -23 | 18 | (N/A) 1988-2018 u N/A # I 13200 5.0
RO
1400
14000
N/A
p
estimate
knowledge
13.6
2007-2018 x N/A 1980-2018 + 10 | 50 | (N/A) 41100 15.9 2007-2018 + 10 | 50 | (N/A) 1980-2018 x N/A 41000 15.6
SI
60
100
N/A
p
estimate
genuine
0.1
2007-2018 u N/A | N/A | (39) 1980-2018 + 6000 | 10000 | (N/A) # 200 # 2007-2018 = N/A | N/A | (0) 1980-2018 + N/A | N/A | (200) # 200
SK
0
15
N/A
p
estimate
genuine
#
2007-2018 F N/A 1980-2018 F N/A # 595 0.2 2007-2018 F N/A 1980-2018 F N/A 700 0.3
UK
N/A
N/A
2
p
estimate
genuine
#
2001-2016 + N/A | N/A | (500) 1978-2016 + N/A # 200 1989-2009 x N/A 1970-2009 x N/A 200
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 23300 74600 p = = 217000 NE NE 9700 15900 i = = Secure Secure A B Secure Himantopus himantopus