Transboundary Dispersal Dynamics of <i>Ceracris kiangsu</i>: From Source Regions to Migration Corridors

Yunnan is located on the southwest border of China, with a complex geographical environment and rich biodiversity, which is the first stop for many migratory pests to enter China. In recent years, <i>Ceracris kiangsu</i> has migrated into China through the China–Laos border line. The mig...

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Bibliographic Details
Main Authors: Yangyang Li, Ting Du, Jun Yao, Yunsen Chen, Lei Shi, Sangzi Ze
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Insects
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Online Access:https://www.mdpi.com/2075-4450/16/4/400
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Summary:Yunnan is located on the southwest border of China, with a complex geographical environment and rich biodiversity, which is the first stop for many migratory pests to enter China. In recent years, <i>Ceracris kiangsu</i> has migrated into China through the China–Laos border line. The migratory <i>C. kiangsu</i> has shown typical characteristics of migratory locusts, which has seriously jeopardized the ecological security, biosecurity and food security of China. In order to prevent and control <i>C. kiangsu</i> from the source as soon as possible, this study used hotspot analysis and trajectory analysis to clarify the migration dynamics, source regions and migration corridors of <i>C. kiangsu</i>. The results showed that the migratory <i>C. kiangsu</i> was mainly distributed in the towns of Jiangcheng County, and the source regions were concentrated in Phongsaly, Laos. There are three cross-border migration corridors of <i>C. kiangsu</i>, among which the Laos–Niuluohe border migration corridor running through the entire migration cycle is the most important corridor. The study answered three key questions about the prevention and control of <i>C. kiangsu</i>. Ascertaining when <i>C. kiangsu</i> arrived at Yunnan, where it came from, and where the population then went will greatly improve the efficiency of the prevention and control of <i>C. kiangsu</i> as well as provide a theoretical basis for subsequent monitoring and early warning.
ISSN:2075-4450