Study was conducted in three commercial cherry tomato greenhouses to examine spatial distribution pattern of the greenhouse whitefly. Each stage of the greenhouse whitefly on the tomato leaves was counted and conducted spatial pattern analysis by geostatistical methods - variogram modeling. We examined three variogram models (spherical, exponential and Gaussian) and estimated their parameters. Best model for describing the population dynamics of whiteflies were selected based on MSE value and range that provides how well the model fits the variogram data. Using this model, kriging analysis was performed. Validation of density estimation was also conducted with independent data sets that not used in model parameters estimation. This study provides information of how geostatistical methods for insect pest management can be implemented in greenhouses in Korea.
Species 1: Homoptera Aleyrodidae Trialeurodes vaporariorum (greenhouse whitefly)
Keywords: variogram analysis, kriging analysis
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