【目的】 草地贪夜蛾Spodoptera frugiperda是新入侵我国的重大跨境迁飞性害虫，探明该虫在我国的迁飞格局及虫源衔接关系，对全国草地贪夜蛾预测预报及精准防控意义重大。【方法】 基于2019-2022年全国草地贪夜蛾虫情监测数据，结合历史气象资料，采用有效积温模型和轨迹分析方法，解析了草地贪夜蛾在我国的北迁过程及其虫源衔接关系。【结果】 我国草地贪夜蛾春夏季迁飞格局主要包括3个主要发生区和3次大规模北迁过程，其中2-4月主要发生在华南地区，4月下旬-5月中旬大规模迁入长江以南地区（25°-30°N）；5-6月主要发生在长江以南地区，6月迁入江淮、黄淮地区（30°-35°N）；7-8月主要发生在江淮、黄淮地区，8月上中旬继续北迁至35°N以北地区。2019-2022年由于南向风速和降雨区域分布导致草地贪夜蛾北迁格局存在年度差异。【结论】 探明了我国草地贪夜蛾的北迁格局及其虫源衔接关系，为该虫的监测预警和源头防控提供理论依据。

[Objectives]  The fall armyworm (Spodoptera frugiperda) is a notorious migratory pest that has invaded China since late 2018. Better understanding of the northward migration patterns of the pest will greatly improve the monitoring, forecasting and control of this pest. [Methods]  Based on monitoring data collected from 2019 to 2022 and historical meteorological data, the northward migration and source of migrating fall armyworm in China were analyzed using effective temperature and trajectory analysis models. [Results]  The northward migration pattern of the fall armyworm in spring and summer consisted of three primary occurrence zones and three large-scale northward migrations. The fall armyworm mainly occurred in southern China from February to April, then migrated in vast numbers into the southern regions of the Yangtze River (25°-30°N) from late April to middle May. It mainly remained in the southern regions of the Yangtze River from May to June, then migrated into the Jiang-Huai and Huang-Huai regions (30°-35°N) in June. Subsequently, it mainly remained in the Jiang-Huai and Huang-Huai regions between July and August, but continued to migrate northward of 35°N from early to middle August. There are significant annual differences in the migration patterns of the fall armyworm between 2019 and 2022 reflecting annual differences in the strength of the southward airflow and distribution of precipitation during this period. [Conclusions]  The results reveal the northward migration patterns and source of migrating fall armyworm in China, which provides a basis for monitoring this pest, obtaining early warning of outbreaks, and preventing outbreaks by controlling source populations.