豫东棉区蚜虫空间自相关性分析

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中图分类号 文献标识码A 文章编号 1007-7731（2025）12-0054-05

DOI号 10.16377/j.cnki.issn1007-7731.2025.12.014

Exploration of spatial autocorrelation of the aphid in Eastern Henan cotton region

WUChao ZHAN Yanan LUZhenhua DUYubei CHANG Mingjuan （Yudong Comprehensive Experimental Station of National Coton Industry Technology System，Kaifeng Academy of Agricultural and Forestry Sciences，Kaifeng 475141， China）

AbstractSpatialautocorrelationanalysisisemployed toassess theclustering trendsof spatial dataacross geographicspace.In this study，using cultivar Kaimian39as the host plant，1O survey points were divided into experimental group 1（points 1-5）andexperimental group2（Points 6-10）.GeoDA spatial analysis software was utilized to identify the spatial characteristics of the aphid occurence locations andtheir population number，while IBM SPSS Statistics 25 was used to analyze the corelation betweenaphidabundance and meteorological factors such as daily average temperature.The results showed that the global Moran's indices for occurrence locations and abundance were -0.371and O.678，respectively.Local Moran’s index analysis revealed that the clusteringof survey points was primarily categorized into high-high（HH）clusters，high-low（HL）clusters，low-high （LH），andlow-low（LL）clusters.Correlation analysis indicated that inexperimental group1，thecorelationcoefficients betweenrelative humidityand the abundance of nymphs，wingless adults，and winged aphids were O.907，0.900，and 0.516，respectively.In experimental group 2，the correlation coefficients between daily average temperatureand theabundance ofnymphs，wingless adults， and winged aphids were -0.969， -0.988 ，and O.O9O，respectively. These results demonstrated that the occurrence locationsandabundanceexhibited negativeand positivespatialautocorelation，respectively，with high-frequencyand low-frequency occurrence areas showing a dispersed trend，while similar abundancelevelstend tocluster. Meteorological factorssignificantly influenceaphidabundance anddistribution.This study providesareference for targeted aphid control strategies.

Keywordsspatial autocorrelation; aphid population levels; meteorological factors; pest management

空间自相关性分析能够有效揭示蚜虫种群数量在地理空间上的分布格局与聚集特征，为农业管理提供科学依据，从而优化病虫害防治策略的制订与实施。（剩余4924字）