Han Juhyeong, Baek Sunghoon, Wang Xue-Jing, Ma Chun-Sen, Kim Kwang-Hyung
Interdisciplinary Program in Agricultural and Forest Meteorology, Seoul National University, Seoul, 08826, Korea.
Department of Industrial Entomology, National College of Agriculture and Fisheries, Jeonju, Korea.
Sci Rep. 2025 Jul 1;15(1):21486. doi: 10.1038/s41598-025-07876-9.
Migratory moth species have a negative impact on agriculture in Korea, causing economic crop losses for farming households. The moths fly a considerable distance from their origins and settle in Korea, where they live for several generational cycles, feeding and laying eggs until the arrival of cold winter hinders their overwintering. Therefore, it is important to determine the timing and location of the moths' departure and arrival to prevent potential harm from invasive moths. The goal of this study is to select the most likely origin and destination of the migratory moths by using the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model when there is limited moth occurrence data at the potential origin and destination. The HYSPLIT model was adopted and modified to investigate the potential trajectory paths of the loreyi leafworm (Mythimna loreyi), using atmospheric data. Occurrence data of M. loreyi was collected from 18 trap sites in Korea and five in China, and fed into the HYSPLIT model to conduct backward and forward trajectory analyses. As a result, we successfully prioritized the most likely origins and destinations of M. loreyi in China and Korea, respectively, which has potential implications for subsequent validation of moth migration, using genotypic and phenotypic characterizations. In conclusion, our results show that it is feasible to use the HYSPLIT model simulation for the initial screening of the most likely origins of migratory moths, leading to more efficient and effective validation study of insect migration between countries.
迁飞蛾类物种对韩国农业产生负面影响，给农户造成经济作物损失。这些蛾子从其起源地飞行相当远的距离，在韩国定居，在那里历经几个世代周期，进食并产卵，直到寒冷冬季的到来阻碍它们越冬。因此，确定蛾子迁离和到达的时间及地点对于防止入侵蛾子可能造成的危害很重要。本研究的目标是在潜在起源地和目的地蛾子出现数据有限的情况下，通过使用混合单粒子拉格朗日综合轨迹（HYSPLIT）模型来选择迁飞蛾类最可能的起源地和目的地。采用并修改了HYSPLIT模型，利用大气数据研究草地夜蛾（Mythimna loreyi）的潜在轨迹路径。从韩国的18个诱捕地点和中国的5个诱捕地点收集了草地夜蛾的出现数据，并将其输入HYSPLIT模型以进行向后和向前轨迹分析。结果，我们分别成功地对中国和韩国草地夜蛾最可能的起源地和目的地进行了优先排序，这对于随后利用基因型和表型特征对蛾子迁飞进行验证具有潜在意义。总之，我们的结果表明，利用HYSPLIT模型模拟对迁飞蛾类最可能的起源地进行初步筛选是可行的，从而能更高效地开展国家间昆虫迁飞的验证研究。
