TY - JOUR
T1 - Save Energy or Seek Warmth? Layer Concentrations Reveal Responses of Migrating Moths to Their Flight Environment
AU - Wang, Rui
AU - Wang, Jiangtao
AU - Li, Weidong
AU - Tan, Lijia
AU - Yu, Teng
AU - Ye, Zihan
AU - Yu, Wenhua
AU - Zhou, Yan
AU - Hu, Cheng
AU - Wu, Kongming
N1 - Publisher Copyright:
© 2026 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0/
PY - 2026
Y1 - 2026
N2 - Migratory moths (Lepidoptera) comprise many major agricultural pest species that pose serious threats to global food security. Accurate prediction of their migration trajectories forms the foundation for effective pest prevention and control. During migration, these insects often form concentrated layers at specific altitudes, facilitating long-distance movement. However, the adaptive mechanisms and benefits underlying this behavior remain unclear, which limits the accuracy of migratory pest trajectory predictions. We developed a high-spatiotemporal-resolution observational system in China’s Bohai Bay, an important corridor for East Asian migratory insects, measuring fine profiles of both insect density and meteorological variables at unprecedented 1-min × 10-m resolution. Focusing on moths, and based on three years of observations (2022–2024), we found 86.0% of insect layers formed within ± 150 m of either temperature inversion tops (TITs) or wind-jets (WJs). As temperatures rose, the probability of layering near WJs instead of TITs increased, reaching 50% at 14.5 °C and 90% at 28 °C. Insects near WJs exhibited 1.5 times higher flight energy efficiency (FEE) than those near TITs. These results demonstrate that rising temperatures shift insect layering strategy from seeking favorable thermal conditions toward enhancing wind-assisted FEE, revealing an adaptive mechanism that enhances migration efficiency and survival. Based on these findings, we developed a model that predicts layering based on wind and temperature data with 80.6% accuracy, thereby improving migration trajectory forecasting and pest early-warning systems.
AB - Migratory moths (Lepidoptera) comprise many major agricultural pest species that pose serious threats to global food security. Accurate prediction of their migration trajectories forms the foundation for effective pest prevention and control. During migration, these insects often form concentrated layers at specific altitudes, facilitating long-distance movement. However, the adaptive mechanisms and benefits underlying this behavior remain unclear, which limits the accuracy of migratory pest trajectory predictions. We developed a high-spatiotemporal-resolution observational system in China’s Bohai Bay, an important corridor for East Asian migratory insects, measuring fine profiles of both insect density and meteorological variables at unprecedented 1-min × 10-m resolution. Focusing on moths, and based on three years of observations (2022–2024), we found 86.0% of insect layers formed within ± 150 m of either temperature inversion tops (TITs) or wind-jets (WJs). As temperatures rose, the probability of layering near WJs instead of TITs increased, reaching 50% at 14.5 °C and 90% at 28 °C. Insects near WJs exhibited 1.5 times higher flight energy efficiency (FEE) than those near TITs. These results demonstrate that rising temperatures shift insect layering strategy from seeking favorable thermal conditions toward enhancing wind-assisted FEE, revealing an adaptive mechanism that enhances migration efficiency and survival. Based on these findings, we developed a model that predicts layering based on wind and temperature data with 80.6% accuracy, thereby improving migration trajectory forecasting and pest early-warning systems.
KW - Layering behavior
KW - Lepidopteran
KW - Migratory insects
KW - Radar entomology
KW - Trajectory prediction
UR - https://www.scopus.com/pages/publications/105041532000
U2 - 10.1016/j.eng.2026.03.023
DO - 10.1016/j.eng.2026.03.023
M3 - Article
AN - SCOPUS:105041532000
SN - 2095-8099
JO - Engineering
JF - Engineering
ER -