Global Warming Impacts Suitable Habitats of the Subtropical Endemic Tree Acer pubinerve Rehder, Newly Recorded in Jiangsu Province, China

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. <i>Acer pubinerve</i> of the Sapindaceae is an important forest tree species endemic to China, our recent fieldwork recorded <i>A. pubinerve</i> 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 <i>A. pubinerve</i> 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 <i>A. pubinerve</i> 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 <i>A. pubinerve</i> is 165.68 × 10<sup>4</sup> km<sup>2</sup>, 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 <i>A. pubinerve</i> 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.

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Publication Details

Journal
Plants
Published
2025-06-20
DOI
https://doi.org/10.3390/plants14131895
Citations
1
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
1.84

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article

Global Warming Impacts Suitable Habitats of the Subtropical Endemic Tree Acer pubinerve Rehder, Newly Recorded in Jiangsu Province, China

Zhi Yang, Jie Miao, Yong Yang, Chao Tan et al.
1 citations
Plants
Species Distribution and Climate Change
1.84
article

Global Warming Impacts Suitable Habitats of the Subtropical Endemic Tree Acer pubinerve Rehder, Newly Recorded in Jiangsu Province, China

Zhi Yang, Jie Miao, Yong Yang, Chao Tan, Xinyu Zhang
article en
1 citations

Abstract

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. <i>Acer pubinerve</i> of the Sapindaceae is an important forest tree species endemic to China, our recent fieldwork recorded <i>A. pubinerve</i> 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 <i>A. pubinerve</i> 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 <i>A. pubinerve</i> 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 <i>A. pubinerve</i> is 165.68 × 10<sup>4</sup> km<sup>2</sup>, 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 <i>A. pubinerve</i> 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.

PlantsVol. 14(13)
Nanjing Forestry University (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, Wenzhou University
Life in Land
Openalex Percentile: Top 14%
Species Distribution and Climate Change
1.84
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