MaxEnt Modeling for Predicting the Potential Geographical Distribution of Camellia oleifera Abel Under Climate Change

作者：Zhiyin Jiang, Yuxin Zhang, Qitao Su, Qing Gan, Qin Zhou, Yiliu Guo, Liu Zhao, Yanping Zhang, Bing Zhou, Tahani A. Y. Asseri, Muhammad Hassan · 发表于：Forests · 年份：2025 · DOI：10.3390/f16061026 · 被引用次数：9 · 研究领域：Species Distribution and Climate Change、Plant and Fungal Species Descriptions、Plant and animal studies

Camellia oleifera Abel (C. oleifera) is an evergreen shrub classified under the Camellia genus. It is an important oil species and has great economic benefits. At present, C. oleifera is widely cultivated in the Yangtze River Basin in South China, and its wild species are mainly distributed in the native forests of Hainan Province. Therefore, in the current study, we used the MaxEnt model to predict the suitable habitat for C. oleifera and different environmental factors affecting its current and future distribution. The AUC values exceeded 0.98, showing that the simulation of the model was good, and the TSS values were all above 0.96, indicating that the model was feasible. The results showed that C. oleifera was mainly distributed in Southern China, with a total area of 56.68 × 104 km2. The suitable habitats of Camellia oleifera are affected by the precipitation of the warmest quarter (bio18), human activity, soil available water content (awc_class), and minimum temperature of the coldest month and seasonal temperature (bio04). Furthermore, rainfall in the warmest quarter (bio18) was recognized as a crucial factor impacting its distribution. Under future climate conditions, the suitable habitat area of C. oleifera is projected to expand with a slight northward shift in its distribution center. Therefore, in addition to maintaining the current planting area of C. oleifera, the planting area can be appropriately expanded upward along the current area and along the Yangtze Riv...