摘要
元胞自动机CA(Cellular Automaton)与地理信息系统(GIS)的集成弥补了GIS在时空分析和时空演化方面的不足,为昆虫种群生态学的研究提供了新的手段。利用DEM提取地形因子,使用统计分析分析了昆嵛山腮扁叶蜂与林分因子、立地因子之间的关系。主要取得了腮扁叶蜂虫口密度与立地因子关系密切,并推导出了腮扁叶蜂的虫口密度与海拔、坡度、坡向、坡位的逐步逻辑回归数学模型。以数学模型结合空间自相关函数建立时空预测模型作为转换规则,以地理信息系统为平台利用元胞自动机模型模拟腮扁叶蜂传播,预测结果给出了昆嵛山腮扁叶蜂密度分布的结果,给防治决策提供了方便。
The integration of cellular automata and GIS enhances the functions of GIS, especially in spatial analysis and modeling in time and space, which provided new tools for population ecology research. The author terrained factor with DEM, and analysed relationship between the insect pest with stand site factors. The results as follows ： Insect density of Cephalcia lariciphila and stand has tight relationship, and also got a maths model of dynamic transition rules; logistical between Cephalcia kunyushanica Xiao and stand factors including elevation, slope gradient, slope aspect, slope location, builded a role with maths model and Autocorrelation of spatial distribution function to develop an integrated geographic information system （GIS） cellular automata （CA） model for simulating Cephalcia kunyushanica Xiao＇s transmission in KunYu Mountain diferent forest types and site types of pine forest. The resultant distribution of larvae density can provide an easy-using image for IPM.
出处
《云南地理环境研究》
2009年第3期53-56,77,共5页
Yunnan Geographic Environment Research
基金
国家科技支撑计划专题:森林健康调控技术项目(2006BAD08A1201-04)
国家林业局昆嵛山森林生态定位研究站项目
