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Article

Investigating the Distribution Dynamics of the Camellia Subgenus Camellia in China and Providing Insights into Camellia Resources Management Under Future Climate Change

1
College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China
2
College of Agriculture and Biological Sciences, Dali University, Dali 671003, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Plants 2025, 14(7), 1137; https://doi.org/10.3390/plants14071137
Submission received: 1 March 2025 / Revised: 29 March 2025 / Accepted: 2 April 2025 / Published: 6 April 2025
(This article belongs to the Special Issue Plant Conservation Science and Practice)

Abstract

Rapid climate change has significantly impacted species distribution patterns, necessitating a comprehensive understanding of dominant tree dynamics for effective forest resource management and utilization. The Camellia subgenus Camellia, a widely distributed taxon in subtropical China, represents an ecologically and economically important group of woody plants valued for both oil production and ornamental purposes. In this study, we employed the BIOMOD2 ensemble modeling framework to investigate the spatial distribution patterns and range dynamics of the subgenus Camellia under projected climate change scenarios. Our analysis incorporated 1455 georeferenced occurrence records from 15 species, following the filtering of duplicate points, along with seven bioclimatic variables selected after highly correlated factors were eliminated. The ensemble model, which integrates six single species distribution models, demonstrated robust predictive performance, with mean true skil l statistic (TSS) and area under curve (AUC) values exceeding 0.8. Our results identified precipitation of the coldest quarter (Bio19) and temperature seasonality (Bio4) as the primary determinants influencing species distribution patterns. The center of species richness for the subgenus Camellia was located in the Nanling Mountains and eastern Guangxi Zhuang Autonomous Region. The projections indicate an overall expansion of suitable habitats for the subgenus under future climate conditions, with notable scenario-dependent variations: distribution hotspots are predicted to increase by 8.86% under the SSP126 scenario but experience a 2.53% reduction under the SSP585 scenario. Furthermore, a westward shift in the distribution centroid is anticipated. To ensure long-term conservation of Camellia genetic resources, we recommend establishing a germplasm conservation center in the Nanling Mountains region, which represents a critical biodiversity hotspot for this taxon.
Keywords: Camellia; ensemble model; climate change; ornamental species Camellia; ensemble model; climate change; ornamental species

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MDPI and ACS Style

Xu, Y.; Guan, B.-Q.; Chen, R.; Yi, R.; Jiang, X.-L.; Xie, K.-Q. Investigating the Distribution Dynamics of the Camellia Subgenus Camellia in China and Providing Insights into Camellia Resources Management Under Future Climate Change. Plants 2025, 14, 1137. https://doi.org/10.3390/plants14071137

AMA Style

Xu Y, Guan B-Q, Chen R, Yi R, Jiang X-L, Xie K-Q. Investigating the Distribution Dynamics of the Camellia Subgenus Camellia in China and Providing Insights into Camellia Resources Management Under Future Climate Change. Plants. 2025; 14(7):1137. https://doi.org/10.3390/plants14071137

Chicago/Turabian Style

Xu, Yue, Bing-Qian Guan, Ran Chen, Rong Yi, Xiao-Long Jiang, and Kai-Qing Xie. 2025. "Investigating the Distribution Dynamics of the Camellia Subgenus Camellia in China and Providing Insights into Camellia Resources Management Under Future Climate Change" Plants 14, no. 7: 1137. https://doi.org/10.3390/plants14071137

APA Style

Xu, Y., Guan, B.-Q., Chen, R., Yi, R., Jiang, X.-L., & Xie, K.-Q. (2025). Investigating the Distribution Dynamics of the Camellia Subgenus Camellia in China and Providing Insights into Camellia Resources Management Under Future Climate Change. Plants, 14(7), 1137. https://doi.org/10.3390/plants14071137

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