A proposed methodology for the predictive and cartographic modeling of an insect population: Semidalis kolbei in La Araucania Region, Chile

作者：Ojeda Nelson^*; Rebolledo Ramon; Calzadilla Soraya; Soto Hector; Morales Luis

来源：Ciencia e Investigacion Agraria, 2011, 38(3): 379-390.

DOI：10.4067/S0718-16202011000300007

• Araucania Region
• Chile
• modeling
• potential spatial distribution
• Semidalis kolbei

N. Ojeda, R. Rebolledo, S. Calzadilla, H. Soto, and L. Morales. 2011. A proposed methodology for the predictive and cartographic modeling of an insect population: Semidalis kolbei in La Araucania Region, Chile. Cien. Inv. Agr. 38(3): 379-390. Semidalis kolbei occupies a significant area of south central Chile. However, it is necessary to determine and predict the occurrence of the insect at a given site. The aim of this research is to analyze the potential spatial distribution of S. kolbei in La Araucania Region of Chile. The study compares ordinary kriging (OK) interpolation methods, geographically weighted regression (GWR) and global regression (GR). The following variables were used in the investigation: topography (altitude, aspect, and slope), distance from the littoral, climate, and geographical variables (latitude and longitude). Of the models evaluated, the GWR proved to be the most successful. This model revealed a marked east-west gradient in the distribution of S. kolbei and a relationship with altitude.

• 出版日期2011-12