Distribution pattern and change prediction of Phellodendron habitat in China under climate change
Abstract Phellodendron has always been of great significance in promoting human health and ecological restoration. However, human activities and climate change have severely affected habitat, population dynamics and sustainable use of Phellodendron. Little is known about the geographical distributio...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-08-01
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| Series: | Ecology and Evolution |
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| Online Access: | https://doi.org/10.1002/ece3.10374 |
| _version_ | 1797732711894351872 |
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| author | Yanghui Zhao Yafeng Wen Wenqian Zhang Chuncheng Wang Yadan Yan Siwen Hao Donglin Zhang |
| author_facet | Yanghui Zhao Yafeng Wen Wenqian Zhang Chuncheng Wang Yadan Yan Siwen Hao Donglin Zhang |
| author_sort | Yanghui Zhao |
| collection | DOAJ |
| description | Abstract Phellodendron has always been of great significance in promoting human health and ecological restoration. However, human activities and climate change have severely affected habitat, population dynamics and sustainable use of Phellodendron. Little is known about the geographical distribution pattern and their responses to climate change of Phellodendron. In order to reveal the impact of climate change on Phellodendron, we conducted a study based on natural distribution data of two species (297 occurrence points), 20 environmental factors, and an optimized MaxEnt model. Our results identified the main environmental factors influencing Phellodendron, predicted their potential geographical distribution, and assessed migration trends under climate change in China. Our analysis showed that Ph. amurense and Ph. chinense have potential suitable habitats of 62.89 × 104 and 70.71 × 104 km2, respectively. Temperature and precipitation were found to play an essential role in shaping the present geographical distribution of Phellodendron populations. Based on two future climate scenarios, we forecasted that the potential suitable habitat of Ph. amurense would decrease by 12.52% (SSP245) and increase by 25.28% (SSP585), while Ph. chinense would decline by 19.61% (SSP245) and 15.78% (SSP585) in the late‐21st century. The potential suitable habitats of Ph. amurense and Ph. chinense would shift to northward and westward, respectively. Hydrothermal change was found to be the primary driver of the suitable habitat of Phellodendron populations in the future. We recommend establishing nature reserves for existing Phellodendron populations, especially Ph. chinense. Our study provided a practical framework for the impact of climate change on the suitable habitat of Phellodendron species and guided regional cultivation, long‐term conservation, and sustainable use. |
| first_indexed | 2024-03-12T12:18:29Z |
| format | Article |
| id | doaj.art-35e4333f46ad41929b30e785e8be4bbf |
| institution | Directory Open Access Journal |
| issn | 2045-7758 |
| language | English |
| last_indexed | 2024-03-12T12:18:29Z |
| publishDate | 2023-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | Ecology and Evolution |
| spelling | doaj.art-35e4333f46ad41929b30e785e8be4bbf2023-08-30T06:50:40ZengWileyEcology and Evolution2045-77582023-08-01138n/an/a10.1002/ece3.10374Distribution pattern and change prediction of Phellodendron habitat in China under climate changeYanghui Zhao0Yafeng Wen1Wenqian Zhang2Chuncheng Wang3Yadan Yan4Siwen Hao5Donglin Zhang6College of Landscape Architecture Central South University of Forestry and Technology Changsha ChinaCollege of Landscape Architecture Central South University of Forestry and Technology Changsha ChinaCollege of Landscape Architecture Central South University of Forestry and Technology Changsha ChinaCollege of Landscape Architecture Central South University of Forestry and Technology Changsha ChinaCollege of Landscape Architecture Central South University of Forestry and Technology Changsha ChinaCollege of Landscape Architecture Central South University of Forestry and Technology Changsha ChinaCollege of Landscape Architecture Central South University of Forestry and Technology Changsha ChinaAbstract Phellodendron has always been of great significance in promoting human health and ecological restoration. However, human activities and climate change have severely affected habitat, population dynamics and sustainable use of Phellodendron. Little is known about the geographical distribution pattern and their responses to climate change of Phellodendron. In order to reveal the impact of climate change on Phellodendron, we conducted a study based on natural distribution data of two species (297 occurrence points), 20 environmental factors, and an optimized MaxEnt model. Our results identified the main environmental factors influencing Phellodendron, predicted their potential geographical distribution, and assessed migration trends under climate change in China. Our analysis showed that Ph. amurense and Ph. chinense have potential suitable habitats of 62.89 × 104 and 70.71 × 104 km2, respectively. Temperature and precipitation were found to play an essential role in shaping the present geographical distribution of Phellodendron populations. Based on two future climate scenarios, we forecasted that the potential suitable habitat of Ph. amurense would decrease by 12.52% (SSP245) and increase by 25.28% (SSP585), while Ph. chinense would decline by 19.61% (SSP245) and 15.78% (SSP585) in the late‐21st century. The potential suitable habitats of Ph. amurense and Ph. chinense would shift to northward and westward, respectively. Hydrothermal change was found to be the primary driver of the suitable habitat of Phellodendron populations in the future. We recommend establishing nature reserves for existing Phellodendron populations, especially Ph. chinense. Our study provided a practical framework for the impact of climate change on the suitable habitat of Phellodendron species and guided regional cultivation, long‐term conservation, and sustainable use.https://doi.org/10.1002/ece3.10374climate changegeographical distributionMaxEnt modelparameter optimizationPhellodendron |
| spellingShingle | Yanghui Zhao Yafeng Wen Wenqian Zhang Chuncheng Wang Yadan Yan Siwen Hao Donglin Zhang Distribution pattern and change prediction of Phellodendron habitat in China under climate change Ecology and Evolution climate change geographical distribution MaxEnt model parameter optimization Phellodendron |
| title | Distribution pattern and change prediction of Phellodendron habitat in China under climate change |
| title_full | Distribution pattern and change prediction of Phellodendron habitat in China under climate change |
| title_fullStr | Distribution pattern and change prediction of Phellodendron habitat in China under climate change |
| title_full_unstemmed | Distribution pattern and change prediction of Phellodendron habitat in China under climate change |
| title_short | Distribution pattern and change prediction of Phellodendron habitat in China under climate change |
| title_sort | distribution pattern and change prediction of phellodendron habitat in china under climate change |
| topic | climate change geographical distribution MaxEnt model parameter optimization Phellodendron |
| url | https://doi.org/10.1002/ece3.10374 |
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