广西林业科学2025，Vol.54Issue(3)：270-281,12.DOI:10.19692/j.issn.1006-1126.20250304
融合遥感数据的八角病虫害易发性评价
Evaluation of Illicium verum Disease and Pest Susceptibility Based on Remote Sensing Data
摘要
Abstract
Forest diseases and pests are important factors that threaten ecosystem health and economic values of forests.In order to study susceptibility and influencing factors of Illicium verum diseases and pests,taking Guangxi Liuwan Dashan Forest Park as study area,I.verum health status was monitored by plant senescence reflectance index.Multi-source data such as topography,meteorology and forest attribute were obtained by re-mote sensing data.Based on disaster system theory,susceptibility environmental indicators were selected,which were weighted by entropy method to calculate disease and pest susceptibility environmental index.Health status monitoring results and susceptibility environmental index were raster-overlaid to obtain disease and pest susceptibility index.Factors influencing disease and pest susceptibility were analyzed by geographi-cal detector.Results showed that occurrence of I.verum diseases and pests had significant seasonal character-istic.In June,areas of high grade susceptibility increased significantly,mainly distributed in central and south-ern parts of study area,indicating that high temperature and high humidity environments were favorable to oc-currence of I.verum diseases and pests.Tree age was the most important factor influencing occurrence of I.ver-um diseases and pests,followed by meteorological factors such as temperature,humidity and precipitation.Re-sults of geographical detector analysis showed that there were strong interactions among influencing factors.Prevention and control of I.verum diseases and pests should pay attention to seasonal changes,strengthen monitoring of key areas during high temperature and high humidity seasons,and adjust planting strategy ac-cording to tree age.关键词
植被衰老反射指数/灾害系统理论/熵值法/易发性评价/地理探测器/八角病虫害Key words
plant senescence reflectance index/disaster system theory/entropy method/susceptibility assess-ment/geographical detector/Illicium verum disease and pest分类
农业科技引用本文复制引用
刘源澄,刘壮,黄自艺,卿丽丽,李军集..融合遥感数据的八角病虫害易发性评价[J].广西林业科学,2025,54(3):270-281,12.基金项目
广西自筹经费林业科技项目(2023GXXZCLK20) （2023GXXZCLK20）
广西科技重大专项(桂科AA24263014) （桂科AA24263014）
中央财政林草科技推广示范项目([2024]TG32号) （[2024]TG32号）
