Article ID Journal Published Year Pages File Type
4524609 Journal of Asia-Pacific Entomology 2012 9 Pages PDF
Abstract

We examined the occurrence patterns of insect pests in paddy fields using a self-organizing map (SOM) and the influence of meteorological factors on these patterns. Data for nine insect pests and three meteorological factors were collected on the Korean nationwide scale from 1992 to 2008. The SOM analysis was based on annual mean densities of each pest species in eight regions. We classified the samples into five clusters (I–V) to display the spatial and temporal changes in the insect pests' occurrences. Clusters I and II included samples collected before 2000; clusters III and IV included samples collected after 2000. The density of Scotinophara lurida was in the lowest range in clusters I and II, and Lissorhoptrus oryzophilus exhibited higher densities in clusters III and IV. Seasonal temperature, humidity, and precipitation were significantly different among clusters, indicating that these factors play a key role in population dynamics and the occurrence of insect pests. The occurrence area of the insect pests was expected to increase with elevated air temperature influenced by global warming based on the IPCC (Intergovernmental Panel on Climate Change) A1B scenario. This study suggests that gathering data on temporal and spatial variations in pest populations and changes in occurrence rate under the effects of global warming can provide insight into the factors governing the population-environment relationships, as well as the information needed for future pest management.

Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideHighlights► SOM identified five occurrence patterns of nine pest insects in the paddy fields. ► The occurrence patterns showed spatial and temporal changes of nine pest insects. ► Meteorological factors were significantly different among patterns. ► The occurrence area of the pests was expected to increase with the global warming.

Related Topics
Life Sciences Agricultural and Biological Sciences Animal Science and Zoology
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