Ding Xiaolong, Du Bobo, Lu Longhui, Lin Kejian, Sa Rina, Gao Yang, Guo Jing, Wang Ning, Huang Wenjiang
Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot 010010, China.
State Key Laboratory for Biology of Plant Diseases and Insect Pests, Hohhot 010010, China.
Insects. 2024 Jun 29;15(7):488. doi: 10.3390/insects15070488.
Grasshoppers pose a significant threat to both natural grassland vegetation and crops. Therefore, comprehending the relationship between environmental factors and grasshopper occurrence is of paramount importance. This study integrated machine learning models (Maxent) using the kuenm package to screen MaxEnt models for grasshopper species selection, while simultaneously fitting remote sensing data of major grasshopper breeding areas in Inner Mongolia, China. It investigated the spatial distribution and key factors influencing the occurrence of typical grasshopper species in grassland ecosystems. The modelling results indicate that a typical steppe has a larger suitable area. The soil type, above biomass, altitude, and temperature, predominantly determine the grasshopper occurrence in typical steppes. This study explicitly delineates the disparate impacts of key environmental factors (meteorology, vegetation, soil, and topography) on grasshopper occurrence in typical steppes. Furthermore, it provides a methodology to guide early warning and precautions for grasshopper pest prevention. The findings of this study will be instrumental in formulating future management measures to guarantee grass ecological environment security and the sustainable development of grassland.
蝗虫对天然草原植被和农作物都构成了重大威胁。因此，了解环境因素与蝗虫发生之间的关系至关重要。本研究使用kuenm软件包集成机器学习模型（Maxent），以筛选用于蝗虫物种选择的MaxEnt模型，同时拟合中国内蒙古主要蝗虫繁殖区的遥感数据。研究了草原生态系统中典型蝗虫物种的空间分布及其发生的关键影响因素。建模结果表明，典型草原具有更大的适宜面积。土壤类型、地上生物量、海拔和温度是典型草原蝗虫发生的主要决定因素。本研究明确阐述了关键环境因素（气象、植被、土壤和地形）对典型草原蝗虫发生的不同影响。此外，还提供了一种指导蝗虫虫害预警和预防措施的方法。本研究结果将有助于制定未来的管理措施，以保障草原生态环境安全和草地的可持续发展。
