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ORIGINAL RESEARCH article
Front. Plant Sci.
Sec. Functional Plant Ecology
Volume 16 - 2025 |
doi: 10.3389/fpls.2025.1517060
This article is part of the Research Topic Advances in GIS and Remote Sensing Applications in the Monitoring of Regional Hydrology, Ecology and Environment View all articles
Projected Distribution Patterns of Alpinia officinarum in China Under Future Climate Scenarios: Insights from Optimized Maxent and Biomod2 Models
Provisionally accepted
Yong Kang 1,2*
Fei Lin 1
Junmei Yin 1,3*
Yongjie Han 4 Min Zhu 5
Yuhua Guo 1 Fenling Tang 1 Yamei Li 1- 1 Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
- 2 Haikou Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan Province, China
- 3 Sanya Research Institute, Chinese Academy of Tropical Agricultural Sciences, Sanya, China
- 4 College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, Hubei Province, China
- 5 School of Tropical Crops, Yunnan Agricultural University, Kunming, Yunnan, China
Alpinia officinarum, commonly known as Galangal, is not only widely used as a medicinal plant but also holds significant ornamental value in horticulture and landscape design due to its unique plant structure and floral aesthetics in China. This study evaluates the impact of current and future climate change scenarios (ssp126, ssp245, ssp370, and ssp585) on the suitable habitats for A. officinarum in China. A total of 73 reliable distribution points for A. officinarum were collected, and 11 key environmental variables were selected. The ENMeval package was used to optimize the Maxent model, and the potential suitable areas for A. officinarum were predicted in combination with Biomod2Maxent. The results show that the optimized Maxent model accurately predicted the potential distribution of A. officinarum in China. Under low emission scenarios (ssp126 and ssp245), the suitable habitat area increased and expanded towards higher latitudes. However, under high emission scenarios (ssp370 and ssp585), the suitable habitat area significantly decreased, with the MaxEnt 删除[Y K]: MaxEnt 删除[Y K]: migration prediction 删除[Y K]: 删除[Y K]: 字体: 倾斜 设置格式[Y K]: The ENMeval package was used to optimize the MaxEnt 删除[Y K]: model, and the potential suitable areas for A. officinarum were predicted in combination with Biomod2 删除[Y K]: indicate 删除[Y K]: MaxEnt 删除[Y K]:under high emission scenarios (ssp370 and ssp585), the suitable habitat area significantly decreased, with a substantial reduction in the species distribution range.
Keywords: Alpinia officinarum, Climate Change, MAXENT model, biomod2, species distribution prediction, Suitability area
Received: 20 Nov 2024; Accepted: 22 Jan 2025.
Copyright: © 2025 Kang, Lin, Yin, Han, Zhu, Guo, Tang and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Yong Kang, Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
Junmei Yin, Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
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