ORIGINAL RESEARCH article
Front. Plant Sci.
Sec. Functional Plant Ecology
Volume 16 - 2025 | doi: 10.3389/fpls.2025.1601585
MaxEnt-Based Evaluation of Climate Change Effects on the Habitat Suitability of Magnolia officinalis in China
Provisionally accepted
- 1School of Geography and Resources, Guizhou Education University, Guiyang, China
- 2School of Pharmacy, Lanzhou University, Lanzhou, China, Lanzhou, China
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This study aimed to assess the impact of climate change on the potential distribution of the endangered medicinal plant M. officinalis in China. We sought to identify key bioclimatic variables influencing its distribution, predict current and future suitable habitats, and evaluate shifts in these habitats under different climate scenarios. We constructed a dataset comprising 405 distribution records of M. officinalis and 9 major environmental factors. The MaxEnt model, integrated with GIS software, was employed to predict the potential distribution under current and future periods (2050s, 2070s, and 2090s). Model optimization was conducted using the ENMeval package to adjust regularization multiplier and feature combination parameters, ensuring enhanced predictive accuracy. The optimized MaxEnt model demonstrated high predictive precision with an AUC value of 0.917. The minimum temperature of the coldest month, mean diurnal range, and annual precipitation were identified as the key environmental variables influencing M. officinalis distribution, with contribution rates of 72.7%, 11.6%, and 4.2%, respectively. The suitable habitat was predicted to expand by 2050s under the SSP1-2.6 scenario but showed a reduction in highly suitable areas under more severe scenarios like SSP5-8.5. Centroid shift analyses indicated a northwestward migration of suitable habitats. These results from this study suggest that climate change poses significant risks to the distribution of M. officinalis, with potential shifts in both the extent and quality of suitable habitats. Our findings highlight the importance of considering climate change projections in conservation planning and underscore the need for adaptive strategies to ensure the sustainability of this medicinally valuable species. The study provides a scientific basis for the conservation and sustainable use of M. officinalis in the context of climate change.
Keywords: Magnolia officinalis, Medicinal tree species, MAXENT model, Potential distribution, 34 shared socioeconomic pathway 35
Received: 28 Mar 2025; Accepted: 17 Jun 2025.
Copyright: © 2025 Ren, Li, Zhang, Yang, Liu, Fan and Xiang. 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: Yangzhou Xiang, School of Geography and Resources, Guizhou Education University, Guiyang, China
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