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逐步回归模型在油蒿钻蛀性害虫预测中的应用 被引量:7

Application of stepwise regression model in predicting the movement of Artemisia ordosica boring insects.
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摘要 以宁夏灵武市和盐池县不同演替阶段的61块受钻蛀性害虫危害的油蒿林为试验地,应用线性逐步回归分析的方法,组建了以沙蒿圆吉丁虫的虫口密度、结皮类型、沙蒿木蠹蛾的虫口密度和油蒿树龄为参数的油蒿钻蛀性害虫混合种群有虫株率的预测模型。该模型通过实际检验,具有较高的预测功能,今后可在林业生产实际中加以应用。 In this study, sixty-one plots, which were damaged by boring insects in Artemisia ordosica community at different successional stages in Lingwu City and Yanchi County of Ningxia Hui Autonomous Region, northwestern China, were chosen as the experimental fields. Using a linear stepwise regression analysis method, the authors developed a predictive model to decide the percentage of trees with insects. In this model, population density of Sphenoptera sp. (Family: Buprestidae ), crust type, population density of Holcocerus artemisiae (Family: Cossidae) and the age of A. ordosica were taken as its parameters. Field actual inspection shows that this model performs well and thus it can be used in forest industry.
出处 《北京林业大学学报》 CAS CSCD 北大核心 2009年第3期140-144,共5页 Journal of Beijing Forestry University
基金 “十一五”国家科技支撑计划项目(2006BAD08A1001) 长江学者与创新团队发展计划项目(PCSIRT0607)
关键词 油蒿 钻蛀性害虫 有虫株率 线性逐步回归模型 Artemisia ordosica boring insects percentage of trees with insects hnear stepwise regression model
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