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Spatial analysis of gypsy moth populations in Sardinia using geostatistical and climate models

Academic Article
Publication Date:
2010
Short description:
Spatial analysis of gypsy moth populations in Sardinia using geostatistical and climate models / Cocco, A., Cossu, A.q., Erre, P., Nieddu, G., Luciano, P.. - In: AGRICULTURAL AND FOREST ENTOMOLOGY. - ISSN 1461-9555. - 12:4(2010), pp. 417-426. [10.1111/j.1461-9563.2010.00488.x]
abstract:
1 Spatial fluctuations of the Sardinian population of the gypsy moth Lymantria dispar
(L.) (Lepidoptera: Lymantriidae) were characterized using geostatistical and climate
models. Data on gypsy moth egg mass abundance recorded at 282 permanent
monitoring sites from 1980 to 2004 were incorporated in a geographic information
system with the vegetational, geomorphological and pedological features of the sites.
2 Statistical analyses revealed that the relative outbreak frequency was related to the
predominant host tree, slope and elevation of the monitoring sites, whereas there
was no correlation between outbreak frequency and exposure and soil type.
3 By using bioclimatic modelling, probability maps of gypsy moth outbreaks were
generated. The model identified a probability surface with climatic conditions
favourable to gypsy moth outbreaks and thus potentially subject to defoliation.
The maps included 92 sites where outbreaks never occurred, suggesting that the
Sardinian climate may not be a determinant factor for gypsy moth outbreaks.
4 The geostatistical method cokriging with outbreak frequency as a covariate was
found to be the most suitable technique to estimate gypsy moth egg mass abundance.
Semivariograms showed spatial correlation of egg mass abundance within the
range 18.5–53 km. The results obtained were used to create regional gypsy moth
distribution maps by cokriging, which demonstrated the outbreak foci and different
infestation levels at each monitoring area. These results can help to delimit the
treatment areas and develop rational gypsy moth management programmes.
Iris type:
1.1 Articolo in rivista
Keywords:
FloraMap, geographic information system, kriging, Lymantria dispar, probability map, spatial distribution.
List of contributors:
Cocco, Arturo; Cossu, Aq; Erre, P; Nieddu, Giovanni; Luciano, Pietro
Authors of the University:
COCCO Arturo
NIEDDU Giovanni
Handle:
https://iris.uniss.it/handle/11388/63000
Published in:
AGRICULTURAL AND FOREST ENTOMOLOGY
Journal
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