Xu Yue, Guan Bing-Qian, Chen Ran, Yi Rong, Jiang Xiao-Long, Xie Kai-Qing
College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China.
College of Agriculture and Biological Sciences, Dali University, Dali 671003, China.
Plants (Basel). 2025 Apr 6;14(7):1137. doi: 10.3390/plants14071137.
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 subgenus , 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 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 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 genetic resources, we recommend establishing a germplasm conservation center in the Nanling Mountains region, which represents a critical biodiversity hotspot for this taxon.
快速的气候变化对物种分布格局产生了重大影响,因此有必要全面了解优势树种动态,以实现有效的森林资源管理和利用。该亚属是中国亚热带地区广泛分布的分类群,代表了一组在生态和经济上都很重要的木本植物,因其产油和观赏价值而受到重视。在本研究中,我们采用BIOMOD2集成建模框架,研究了该亚属在预测气候变化情景下的空间分布格局和范围动态。我们的分析纳入了15个物种的1455个地理参考出现记录,在过滤重复点之后,还纳入了在消除高度相关因素后选择的7个生物气候变量。集成了6个单物种分布模型的集成模型表现出强大的预测性能,平均真技能统计量(TSS)和曲线下面积(AUC)值超过0.8。我们的结果确定最冷月降水量(Bio19)和温度季节性(Bio4)是影响物种分布格局的主要决定因素。该亚属的物种丰富度中心位于南岭山脉和广西壮族自治区东部。预测表明,在未来气候条件下,该亚属的适宜栖息地总体上会扩大,但不同情景下有显著差异:在SSP126情景下,分布热点预计将增加8.86%,但在SSP585情景下将减少2.53%。此外,预计分布中心会向西移动。为确保该亚属遗传资源的长期保护,我们建议在南岭山脉地区建立一个种质保护中心,该地区是该分类群的一个关键生物多样性热点地区。