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作 者:刘德庆[1,2] 张天媛 张晓丽[1,2] 宗世祥[1] 黄季夏 LIU Deqing;ZHANG Tianyuan;ZHANG Xiaoli;ZONG Shixiang;HUANG Jixia(Key Laboratory for Silviculture and Conservation,Ministry of Education,Beijing Forestry University,Beijing 100083,China;Precision Forestry Key Laboratory of Beijing,Beijing Forestry University,Beijing 100083,China;State Key Laboratory of Earth Surface Processes and Resource Ecology,Beijing Normal University,Beijing 100875,China)
机构地区:[1]北京林业大学森林培育与保护教育部重点实验室,北京100083 [2]北京林业大学精准林业北京市重点实验室,北京100083 [3]北京师范大学地表过程与资源生态国家重点实验室,北京100875
出 处:《农业机械学报》2022年第1期215-223,369,共10页Transactions of the Chinese Society for Agricultural Machinery
基 金:国家自然科学基金项目(31870534);国家重点研发计划项目(2019YFA0606600)。
摘 要:光肩星天牛作为林木的主要害虫,在我国分布极为广泛,且分布区呈不断扩大的趋势。在地理空间尺度上,研究虫灾的空间相关性,并分析影响其分布的因素对于防控光肩星天牛灾害有重要意义。以2008年我国华北地区光肩星天牛虫灾发生情况为研究对象,收集气象因子、社会经济因子以及植被因子,借助于地理探测器分析环境因素对光肩星天牛灾害发生的影响。结果表明,光肩星天牛受害严重的地区集中在山西省北部,河南省、山东省及河北省南部地区发病率较低。影响光肩星天牛发病率空间分布的主要气象因素为降水和气温,主要社会经济因素为人口数和地区GDP。气温和第一、二产业值的作用力较其他因子有显著差异。经济发展水平高对当地病虫害防治有明显的积极作用。交互作用探测显示,任何两种变量结合作用都能更有效地解释光肩星天牛灾害的空间分异性。降雨量和防治率交互作用后对发病率的解释力提升最为显著。Anoplophora glabripennis is widely distributed in China as the main pest of forest trees,and the distribution area is constantly expanding.It is important to study the spatial correlation of insect infestation and analyze the factors that affect its distribution.Using geodetector,the effects of environmental factors on the Anoplophora glabripennis disaster were analyzed.The results showed that the most seriously damaged areas were in the northern part of Shanxi Province,while the incidence rates in Henan,Shandong,and southern Hebei were relatively low.The main meteorological factors affecting the spatial distribution of the incidence rate were precipitation and temperature,and the main social and economic factors were population and regional GDP.The effect of temperature on the value of the first and second industries was significantly different from that of other factors.Economic development had significant positive effect on the control of local insect pests.The interaction detection showed that the combination of any two variables can explain the spatial heterogeneity of Anoplophora glabripennis disaster more effectively.The interpretation ability of incidence rate was increased significantly after interaction between precipitation and control rate.
分 类 号:S431[农业科学—农业昆虫与害虫防治]
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