Global Warming Impacts Suitable Habitats of the Subtropical Endemic Tree <i>Acer pubinerve</i> 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&g...

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Main Authors: Jie Miao, Xinyu Zhang, Zhi Yang, Chao Tan, Yong Yang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Plants
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Online Access:https://www.mdpi.com/2223-7747/14/13/1895
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author Jie Miao
Xinyu Zhang
Zhi Yang
Chao Tan
Yong Yang
author_facet Jie Miao
Xinyu Zhang
Zhi Yang
Chao Tan
Yong Yang
author_sort Jie Miao
collection DOAJ
description 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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spelling doaj-art-b28d87b93e364c2781403e4e9e86a0a72025-07-11T14:41:38ZengMDPI AGPlants2223-77472025-06-011413189510.3390/plants14131895Global Warming Impacts Suitable Habitats of the Subtropical Endemic Tree <i>Acer pubinerve</i> Rehder, Newly Recorded in Jiangsu Province, ChinaJie Miao0Xinyu Zhang1Zhi Yang2Chao Tan3Yong Yang4Co-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, ChinaCo-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, ChinaCo-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, ChinaCo-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, ChinaCo-Innovation Center for Sustainable Forestry in Southern China, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, ChinaGlobal 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.https://www.mdpi.com/2223-7747/14/13/1895<i>Acer pubinerve</i>global warmingMaxEntspecies modelingendemic species
spellingShingle Jie Miao
Xinyu Zhang
Zhi Yang
Chao Tan
Yong Yang
Global Warming Impacts Suitable Habitats of the Subtropical Endemic Tree <i>Acer pubinerve</i> Rehder, Newly Recorded in Jiangsu Province, China
Plants
<i>Acer pubinerve</i>
global warming
MaxEnt
species modeling
endemic species
title Global Warming Impacts Suitable Habitats of the Subtropical Endemic Tree <i>Acer pubinerve</i> Rehder, Newly Recorded in Jiangsu Province, China
title_full Global Warming Impacts Suitable Habitats of the Subtropical Endemic Tree <i>Acer pubinerve</i> Rehder, Newly Recorded in Jiangsu Province, China
title_fullStr Global Warming Impacts Suitable Habitats of the Subtropical Endemic Tree <i>Acer pubinerve</i> Rehder, Newly Recorded in Jiangsu Province, China
title_full_unstemmed Global Warming Impacts Suitable Habitats of the Subtropical Endemic Tree <i>Acer pubinerve</i> Rehder, Newly Recorded in Jiangsu Province, China
title_short Global Warming Impacts Suitable Habitats of the Subtropical Endemic Tree <i>Acer pubinerve</i> Rehder, Newly Recorded in Jiangsu Province, China
title_sort global warming impacts suitable habitats of the subtropical endemic tree i acer pubinerve i rehder newly recorded in jiangsu province china
topic <i>Acer pubinerve</i>
global warming
MaxEnt
species modeling
endemic species
url https://www.mdpi.com/2223-7747/14/13/1895
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