Miao Jie, Zhang Xinyu, Yang Zhi, Tan Chao, Yang Yong
Co-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China.
Plants (Basel). 2025 Jun 20;14(13):1895. doi: 10.3390/plants14131895.
Global warming has caused the change of the geographical distribution of many species and threatened the living of species on earth. It is important to describe and predict the response of these species to current and future climate changes to conserve and utilize the endemic forest species. of the Sapindaceae is an important forest tree species endemic to China, our recent fieldwork recorded in the Jiangsu province for the first time, representing the northernmost known occurrence of the species. In this study, we compiled an occurrence dataset of based on field investigation, herbarium specimen data and literature, and mapped the resource distribution of this endemic forest species in China. Then, we used the optimized MaxEnt model to predict the potential suitable areas of the species under current climate conditions and future climate change scenarios and studied the impacts of environmental variables on the suitable areas of the species. The MaxEnt model, optimized with a regularization multiplier of 0.5 and a feature combination of linear and quadratic terms, exhibited the best predictive performance. The prediction accuracy of the model was extremely high and the AUC values of training and test data were 0.995 and 0.998, respectively. We found that the leading environmental variables affecting the potential distribution of include the mean temperature of warmest quarter, the mean temperature of driest quarter, and the annual precipitation. Under the current climatic condition, the suitable distribution area of is 165.68 × 10 km, mainly located in the provinces of Zhejiang, Fujian, Jiangxi, Hunan, Guangdong, and Guangxi. Compared with the suitable area under the current climate, the total suitable areas of is projected to expand toward the north under the future climate change scenarios SSP126, SSP370, and SSP585, while its center shows a general trend of westward migration. Our study lays the foundation for conservation and resource utilization of this endemic tree species in China.
全球变暖导致了许多物种地理分布的变化,威胁着地球上物种的生存。描述和预测这些物种对当前和未来气候变化的反应对于保护和利用本土森林物种至关重要。无患子科的[物种名称]是中国特有的重要森林树种,我们最近的野外调查首次在江苏省记录到该物种,这代表了该物种已知的最北分布。在本研究中,我们基于野外调查、标本馆标本数据和文献编制了[物种名称]的分布数据集,并绘制了该本土森林物种在中国的资源分布图。然后,我们使用优化的最大熵模型预测该物种在当前气候条件和未来气候变化情景下的潜在适宜区域,并研究环境变量对该物种适宜区域的影响。使用正则化乘数为0.5且特征组合为线性和二次项优化的最大熵模型表现出最佳预测性能。该模型的预测准确率极高,训练数据和测试数据的AUC值分别为0.995和0.998。我们发现影响[物种名称]潜在分布的主要环境变量包括最暖季度平均温度、最干季度平均温度和年降水量。在当前气候条件下,[物种名称]的适宜分布面积为165.68×10平方千米,主要位于浙江、福建、江西、湖南、广东和广西等省份。与当前气候下的适宜面积相比,在未来气候变化情景SSP126、SSP370和SSP585下,[物种名称]的适宜总面积预计将向北扩展,而其中心呈现出总体向西迁移的趋势。我们的研究为中国该本土树种的保护和资源利用奠定了基础。