Spatial sampling strategy
MODIRISK
Basis for sampling strategy
Grid of 10X10 km = 326 cells
Three samples per grid cell = 978
samples
Take into consideration:
→ Major biotopes
→ Seasonal variation
→ Import risk
MODIRISK Kick-off-meeting
Proposed procedure
Identify key habitats based on Corine LC classes by
aggregating urban, agriculture, natural and
import risk classes.
Calculate total surface per aggregated class
Assign proportional number of sample points to
aggregated class.
Generate appropriate number of random sampling
points within each class.
Randomly assign sampling points within each class
to two sampling seasons.
Geocode and assign sample sites per team.
MODIRISK Kick-off-meeting
Aggregation of CORINE LC data
CORINE includes 50 classes divided
in five groups:
→ Artificial surfaces including
urban and industrial
→ Agriculture areas
→ Forest and semi natural areas
→ Wetlands
→ Water bodies
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Corine data – 50 classes
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Class aggregation
(1) Urban biotopes
(2) Land in the agriculture cycle
(3) Natural terrestrial habitats
(4) Risk of introduction areas: ports, airports, dump
sites, moors and heat land, inland marshes, salt
marshes
(5) Areas excluded from sample: industrial and
commercial units, roads, mines and mineral
extraction sites, construction sites, sparsely
vegetated areas
(6) Water bodies
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Corine - 6 aggregated classes
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Sample size per aggregated class
Class
Urban
Pixels
Percentage
Samples
769,723
17.7%
173
2,514,104
57.7%
564
Natural
888,272
20.4%
199
Specific
56,479
1.3%
13
103,411
2.4%
23
28,285
0.6%
6
4,360,274
100.0%
978
Agriculture
Secondary
Water bodies
TOTAL
In blue = automated random assignment
In red = manual attribution in selected areas
MODIRISK Kick-off-meeting
173 random urban sampling points
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564 random agri sampling points
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199 random natural sampling points
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Non-random sampling points
Not yet included in map
42 sampling points to be allocated in areas
representing a particular risk of introduction:
ports, airports, dump sites, moors and heat land,
inland marshes, salt marshes.
Additional samplings should also be conducted in
other selected areas:
→ Zoos and safari parks (list available)
→ Second hand tire import/storage (list to be
established)
→ Protected areas involving presence of large
numbers of migratory birds (list available)
MODIRISK Kick-off-meeting
Sample: institute / year / season
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Sample per institute
Rough division by province:
→ ITG (274 + 42): Antwerp,
Limburg, Brabant
→ KBIN (293): Oost Vlaanderen,
West Vlaanderen, Brabant
→ UCL (365): Hainaut, Namur,
Luxembourg
Needs reassessment !!!
MODIRISK Kick-off-meeting
Data base
Flexibility to re-allocate sampling areas
Geocode random sampling points to nearest
relevant feature to ease sampling: road access,
street names, house numbers, …
UTM numbering grid cells according to standard
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Web based MODIRISK survey map
Online map (Google map) with status of field survey per
team
Public access: important dissemination purpose because
most urban samples will be conducted in house
gardens
Link to entomological data base  future link with
biodiversity data base
Password protected centralized data entry using Palmtop:
→ Field forms
→ Entomology forms
→ Cross check forms
Generate addresses in urban areas to contact prior to
sampling
MODIRISK Kick-off-meeting
www.avia-gis.com
[email protected]