Ciência Rural · 2015 · 23 citations · 4 references
ComputingEntomologyGeoinformaticsSpatial AnalysisSpatial ModelingSpatial StatisticsGeostatistical AnalysisGeostatistical ModelingSpatial Distribution AnalysisSpatial Pattern AnalysisSpatial SamplingSpatial Statistical ModelingGeostatistical MappingGeostatistical PredictionGeostatistical Sampling DesignPest Distribution ModelingPest Infestation MappingSamplingSpatial Dependence ModelingSpatial Pest Distribution Mapping
Tibraca limbativentris (rice stem bug) is an insect highly injurious to the rice crop in Brazil. The aim of this research was to define the spatial distribution of the T. limbativentris and improve the sampling process by means of geostatistical application techniques and construction of prediction maps in a flooded rice field located in the "Planalto da Campanha" Region, Rio Grande do Sul (RS), Brazil. The experiments were conducted in rice crop in the municipality of Itaqui - RS, in the crop years of 2009/10, 2010/11 and 2011/12, counting fortnightly the number of nymphs and adults in a georeferenced grid with points spaced at 50m in the first year and in 10m in the another years. It was performed a geostatistical analysis by means adjusting semivariogram and interpolation of numeric data by kriging to verify the spatial dependence and the subsequent mapping population. The results obtained indicated that the rice stem bug, T. limbativentris, has a strong spatial dependence. The prediction maps allow estimating population density of the pest and visualization of the spatial distribution in flooded rice fields, enabling the improvement of the traditional method of sampling for rice stem bug
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Robust estimation of the variogram: I
Noel Cressie, Douglas M. Hawkins · Mathematical Geology · 1980 · 923 citations
Sampling and Analysis of Insect Populations
E Kuno · Annual Review of Entomology · 1991 · 202 citations
Life Sciences, Entomology, Nutrition +17