Soil organic carbon (SOC) in mountain forest ecosystems exerts critical controls over regional carbon balance and climate feedback loops. This study collected 209 stratified topsoil (0–30 cm) samples across temperate mountain forests of Northeast China, conducted a boosted regression tree (BRT) modeling framework integ...
Zicheng Wang, Qian-Lai Zhuang, Shuai Wang et al.· Forests· 0 citations
Soil organic carbon (SOC), as a key indicator of global carbon cycling and climate change response, plays a critical role in regional ecological security and agricultural sustainability. This study employs three machine learning models including the LightGBM, XGBoost, and random forest to simulate the spatial distrib...
Xin-Xin Jin, Xin-Tong Liu, Qian-Lai Zhuang et al.· Land Degradation & Devel...· 0 citations
Predicting the potential climatic suitability of invasive plants under global warming is essential for understanding invasion mechanisms and developing targeted management and control strategies. Here, we used MaxEnt and biomod2 (incorporating 10 individual algorithm models) to project potential suitable habitats for t...
Yu-Hang Liu, Ping Guan, M. Shao et al.· Diversity· 0 citations
Climate change poses growing risks to maize-based food systems, yet comparative evidence across climatically similar regions on different continents remains limited. This study compares climate change impacts and adaptation responses in rainfed maize systems in Nakuru County, Kenya, and Northwest China—two geographical...
Jackson K. Koimbori, Shuai Wang, Jie Pan et al.· Plants· 0 citations
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