Selection of Interpolators to Predict Populations of Tibraca limbativentris in Irrigated Rice

Abstract

Kriging is a method that estimates values in places not sampled from different interpolators,therefore, widely used to predict the spatial distribution of organisms. However, the different interpolatorsmay vary in performance depending on the organism under study or the area evaluated. The aimed study tocompare the ordinary kriging and inverse of distance weighted interpolation methods, applied to the spatialdistribution of population density of Tibraca limbativentris in irrigated rice. This study was carried out in SantaMaria, RS, Brazil, in two fields with areas of 1.3 ha and 6.2 ha, respectively. Seven evaluations of thepopulation density of T. limbativentris were carried out, corresponding to the period from sowing tomaturation. In these areas the adults of T. limbativentris were quantified and the sum used for the statisticaland geostatistical analysis. The sample population of T. limbativentris was submitted to differentsemivariograms, which were selected through cross-validation. The sample population of T. limbativentriswas submitted to different semivariograms, selected by means of cross-validation. Once selected,semivariograms were used in both tested interpolation methods. From the results it was concluded that theordinary kriging interpolation method performed better in all evaluations performed in both areas. Therefore,we recommend its use for estimating the population density and spatial distribution of T. limbativentris in the irrigated rice throughout the crop phenology. Using appropriate interpolation methods, localized managementcan be used, reducing costs for controlling this pest and increasing the sustainability of the environment.