基于空间自相关的泰州市美国白蛾时空分布格局分析

Spatial-temporal distribution pattern analysis of Hyphantria cunea in Taizhou based on spatial autocorrelation

该研究以江苏省泰州市2022年美国白蛾(Hyphantria cunea)监测数据为基础,通过泰森多边形对空间进行微观划分,采用空间自相关对美国白蛾不同发生时期空间分布特征和冷热点分布格局进行分析。结果表明,泰州市美国白蛾空间上呈聚集分布,不同发生时期空间聚集程度相对稳定,湿度对美国白蛾发育和空间聚集分布有一定影响。热点区域主要分布在姜堰区北部和兴化市西北部,其中姜堰区北部为主热点区域,兴化市西北部为次热点区域。持续性冷点区域主要分布在泰兴市南部和靖江市全域,极少量美国白蛾成虫扩散至如泰运河以南。认为该研究所用方法适用于基层林业部门对美国白蛾监测预报工作。

Based on the monitoring data of Hyphantria cunea in Taizhou,Jiangsu Province in 2022,the space within was divided microscopically by thiessen polygon,and the spatial distribution characteristics,cold and hot spot distribution pattern of H.cune a in different occurrence periods were analyzed by spatial autocorrelation.The results showed that the spatial distribution of H.cunea in Taizhou was aggregated,and the aggregation degree in different occurrence periods was relatively stable.Humidity had certain an influence on the development and spatial aggregation distribution.The hot spots were mainly concentrated in the north of Jiangyan(the main hot spot area)and the northwest of Xinghua(the sub-hot spot area).The persistent cold spot areas were mainly distributed in the south of Taixing and the whole region of Jingjiang.Very little amount of H.cunea adults spread to the south of Rutai Canal.The method used in this study was suitable for the monitoring and forecasting of H.in grassroots forestry departments.