Maxent Modelling Predicts a Shift in Suitable Habitats of a Subtropical Evergreen Tree (<i>Cyclobalanopsis glauca</i> (Thunberg) Oersted) under Climate Change Scenarios in China

Climate change has caused substantial shifts in the geographical distribution of many species. There is growing evidence that many species are migrating in response to climate change. Changes in the distribution of dominant tree species induced by climate change can have an impact not only on organi...

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Main Authors: Lijuan Zhang, Lianqi Zhu, Yanhong Li, Wenbo Zhu, Yingyong Chen
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Forests
Subjects:
Online Access:https://www.mdpi.com/1999-4907/13/1/126
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author Lijuan Zhang
Lianqi Zhu
Yanhong Li
Wenbo Zhu
Yingyong Chen
author_facet Lijuan Zhang
Lianqi Zhu
Yanhong Li
Wenbo Zhu
Yingyong Chen
author_sort Lijuan Zhang
collection DOAJ
description Climate change has caused substantial shifts in the geographical distribution of many species. There is growing evidence that many species are migrating in response to climate change. Changes in the distribution of dominant tree species induced by climate change can have an impact not only on organisms such as epiphytes and understory vegetation, but also on the whole ecosystem. <i>Cyclobalanopsis glauca</i> is a dominant tree species in the mingled evergreen and deciduous broadleaf forests of China. Understanding their adaptive strategies against climate change is important for understanding the future community structure. We employed the Maxent framework to model current suitable habitats of <i>C. glauca</i> under current climate conditions and predicted it onto the climate scenarios for 2041–2060 and 2081–2100 using 315 occurrence data. Our results showed that annual precipitation was the most critical factor for the distribution of <i>C. glauca</i>. In the future, increasing precipitation would reduce the limitation of water on habitats, leading to an expansion of the distribution to a higher latitude and higher altitude. At the same time, there were habitat contractions at the junction of the Jiangxi and Fujian Provinces. This study can provide vital information for the management of <i>C. glauca</i>, and serve as a reminder for managers to protect <i>C. glauca</i> in the range contraction areas.
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spelling doaj.art-8ecea09fc4914448993aadc781bbc45a2023-11-23T13:48:16ZengMDPI AGForests1999-49072022-01-0113112610.3390/f13010126Maxent Modelling Predicts a Shift in Suitable Habitats of a Subtropical Evergreen Tree (<i>Cyclobalanopsis glauca</i> (Thunberg) Oersted) under Climate Change Scenarios in ChinaLijuan Zhang0Lianqi Zhu1Yanhong Li2Wenbo Zhu3Yingyong Chen4College of Geography and Environmental Science, Henan University, Kaifeng 475004, ChinaCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, ChinaCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, ChinaCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, ChinaCollege of Geography and Environmental Science, Henan University, Kaifeng 475004, ChinaClimate change has caused substantial shifts in the geographical distribution of many species. There is growing evidence that many species are migrating in response to climate change. Changes in the distribution of dominant tree species induced by climate change can have an impact not only on organisms such as epiphytes and understory vegetation, but also on the whole ecosystem. <i>Cyclobalanopsis glauca</i> is a dominant tree species in the mingled evergreen and deciduous broadleaf forests of China. Understanding their adaptive strategies against climate change is important for understanding the future community structure. We employed the Maxent framework to model current suitable habitats of <i>C. glauca</i> under current climate conditions and predicted it onto the climate scenarios for 2041–2060 and 2081–2100 using 315 occurrence data. Our results showed that annual precipitation was the most critical factor for the distribution of <i>C. glauca</i>. In the future, increasing precipitation would reduce the limitation of water on habitats, leading to an expansion of the distribution to a higher latitude and higher altitude. At the same time, there were habitat contractions at the junction of the Jiangxi and Fujian Provinces. This study can provide vital information for the management of <i>C. glauca</i>, and serve as a reminder for managers to protect <i>C. glauca</i> in the range contraction areas.https://www.mdpi.com/1999-4907/13/1/126<i>Cyclobalanopsis glauca</i> (Thunberg) OerstedMaxent modellingclimate scenariosspecies distribution modelsuitable habitats
spellingShingle Lijuan Zhang
Lianqi Zhu
Yanhong Li
Wenbo Zhu
Yingyong Chen
Maxent Modelling Predicts a Shift in Suitable Habitats of a Subtropical Evergreen Tree (<i>Cyclobalanopsis glauca</i> (Thunberg) Oersted) under Climate Change Scenarios in China
Forests
<i>Cyclobalanopsis glauca</i> (Thunberg) Oersted
Maxent modelling
climate scenarios
species distribution model
suitable habitats
title Maxent Modelling Predicts a Shift in Suitable Habitats of a Subtropical Evergreen Tree (<i>Cyclobalanopsis glauca</i> (Thunberg) Oersted) under Climate Change Scenarios in China
title_full Maxent Modelling Predicts a Shift in Suitable Habitats of a Subtropical Evergreen Tree (<i>Cyclobalanopsis glauca</i> (Thunberg) Oersted) under Climate Change Scenarios in China
title_fullStr Maxent Modelling Predicts a Shift in Suitable Habitats of a Subtropical Evergreen Tree (<i>Cyclobalanopsis glauca</i> (Thunberg) Oersted) under Climate Change Scenarios in China
title_full_unstemmed Maxent Modelling Predicts a Shift in Suitable Habitats of a Subtropical Evergreen Tree (<i>Cyclobalanopsis glauca</i> (Thunberg) Oersted) under Climate Change Scenarios in China
title_short Maxent Modelling Predicts a Shift in Suitable Habitats of a Subtropical Evergreen Tree (<i>Cyclobalanopsis glauca</i> (Thunberg) Oersted) under Climate Change Scenarios in China
title_sort maxent modelling predicts a shift in suitable habitats of a subtropical evergreen tree i cyclobalanopsis glauca i thunberg oersted under climate change scenarios in china
topic <i>Cyclobalanopsis glauca</i> (Thunberg) Oersted
Maxent modelling
climate scenarios
species distribution model
suitable habitats
url https://www.mdpi.com/1999-4907/13/1/126
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