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

Zhiyin JiangJi’an Research Institute of Forestry Science, Ji’an 343009, ChinaYuxin ZhangJi’an Research Institute of Forestry Science, Ji’an 343009, ChinaQitao SuKey Laboratory of Jiangxi Province for Biological Invasion and Biosecurity, School of Life Sciences, Jinggangshan University, Ji’an 343009, ChinaQing GanJi’an Research Institute of Forestry Science, Ji’an 343009, ChinaQin ZhouJi’an Research Institute of Forestry Science, Ji’an 343009, ChinaYiliu GuoJi’an Research Institute of Forestry Science, Ji’an 343009, ChinaLiu ZhaoJi’an Research Institute of Forestry Science, Ji’an 343009, ChinaYanping ZhangJi’an Research Institute of Forestry Science, Ji’an 343009, ChinaBing ZhouKey Laboratory of Jiangxi Province for Biological Invasion and Biosecurity, School of Life Sciences, Jinggangshan University, Ji’an 343009, ChinaTahani A. Y. AsseriDepartment of Biology, College of Science, King Khalid University, Abha 61413, Saudi ArabiaMuhammad HassanKey Laboratory of Jiangxi Province for Biological Invasion and Biosecurity, School of Life Sciences, Jinggangshan University, Ji’an 343009, China
Forestsjournal2025en
ABI

Annotatsiya

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 River Basin.

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