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Abstract：
The fall webworm (FWW), H. cunea (Drury) (Lepidoptera: Erebidae: Arctiidae), is an extremely high-risk globally invasive pest. Understanding the invasion dynamics of invasive pests and identifying the critical factors that promote their spread is essential for devising practical and efficient strategies for their control and management. The invasion dynamics of the FWW and its influencing factors were analyzed using standard deviation ellipse and spatial autocorrelation methods. The analysis was based on statistical data on the occurrence of the FWW in China. The dissemination pattern of the FWW between 1979 and 2022 followed a sequence of \"invasion-occurrence-transmission-outbreak\", spreading progressively from coastal to inland regions. Furthermore, areas with high nighttime light values, abundant ports, and non-forested areas with low vegetation cover at altitudes below 500 m were more likely to be inhabited by the black-headed FWW. The dynamic invasion pattern and the driving factors associated with the fall webworm (FWW) provide critical insights for future FWW management strategies. These strategies serve not only to regulate the dissemination of insects and diminish migratory tendencies but also to guarantee the implementation of efficient early detection systems and prompt response measures.
摘要：
秋季网虫（FWW），H.cunea（Drury）（鳞翅目：Erebidae：Arctiidae），是一种极其高风险的全球入侵害虫。了解入侵害虫的入侵动态并确定促进其传播的关键因素对于设计实用和有效的控制和管理策略至关重要。采用标准差椭圆和空间自相关方法分析了FWW的入侵动态及其影响因素。分析基于中国FWW发生的统计数据。1979年至2022年之间FWW的传播模式遵循“入侵-发生-传播-爆发”的序列，从沿海逐渐向内陆地区蔓延。此外，夜间灯光值高的区域，丰富的港口,在海拔500m以下，植被覆盖率低的非森林地区更有可能被黑头FWW居住。与秋季网虫（FWW）相关的动态入侵模式和驱动因素为未来的FWW管理策略提供了重要见解。这些策略不仅用于规范昆虫的传播和减少迁徙趋势，而且还用于确保实施有效的早期检测系统和迅速的应对措施。
