MaxEnt-Based Prediction of Grasshopper Distribution in Hulun Buir in Response to Climate and CO2 Changes
Abstract Based on distribution data and environmental variables from Hulun Buir, this study applied an optimized MaxEnt model to assess grasshopper habitat suitability under current and future climates. The model performed well (AUC: 0.869/0.829), identifying western regions as currently highly suitable due to cold-season precipitation, thermal stability, terrain–vegetation heterogeneity, and human activity. Projections under SSP126, SSP245, and SSP585 scenarios indicate habitat expansion correlated with CO2 increases, illustrating how climate warming and rising CO2 jointly drive distribution shifts. These findings support early warning and adaptive management of grasshopper outbreaks in the region.
Authors
- Kuanyan Tang (ORCID: https://orcid.org/0000-0003-2080-9088)
- Fangzheng Yue
- Hongru Yue
- Fuyuan Ta
- Ning Wang
- Youchen Zhen
- Hongwei Li
- Narisu
- Minna Pang
Institutions
- State Forestry and Grassland Administration (CN)
- Chinese Academy of Agricultural Sciences (CN)
- Baotou Research Institute of Rare Earths (CN)
- Institute of Grassland Research (CN)
- Jinling Institute of Technology (CN)
Publication Details
- Journal
- Contemporary Problems of Ecology
- Published
- 2026-07-27
- DOI
- https://doi.org/10.1134/s1995425526700265
- Primary Topic
- Species Distribution and Climate Change
- Type
- article
- Field-Weighted Citation Impact
- 0.00