Predicting the potential distribution of 12 threatened medicinal plants on the Qinghai‐Tibet Plateau, with a maximum entropy model
Abstract Climate change is a vital driver of biodiversity patterns and species distributions, understanding how organisms respond to climate change will shed light on the conservation of endangered species. In this study, the MaxEnt model was used to predict the potential suitable area of 12 threate...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-02-01
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| Series: | Ecology and Evolution |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ece3.11042 |
| _version_ | 1797290909461643264 |
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| author | Lucun Yang Xiaofeng Zhu Wenzhu Song Xingping Shi Xiaotao Huang |
| author_facet | Lucun Yang Xiaofeng Zhu Wenzhu Song Xingping Shi Xiaotao Huang |
| author_sort | Lucun Yang |
| collection | DOAJ |
| description | Abstract Climate change is a vital driver of biodiversity patterns and species distributions, understanding how organisms respond to climate change will shed light on the conservation of endangered species. In this study, the MaxEnt model was used to predict the potential suitable area of 12 threatened medicinal plants in the QTP (Qinghai‐Tibet Plateau) under the current and future (2050s, 2070s) three climate scenarios (RCP2.6, RCP4.5, RCP8.5). The results showed that the climatically suitable habitats for the threatened medicinal plants were primarily found in the eastern, southeast, southern, and some parts of the central regions on the QTP. Moreover, 25% of the threatened medicinal plants would have reduced suitable habitat areas within the next 30–50 years in the different future global warming scenarios. Among these medicinal plants, RT (Rheum tanguticum) would miss the most habitat (98.97%), while the RAN (Rhododendron anthopogonoides) would miss the least habitat (10.15%). Nevertheless, 33.3% of the threatened medicinal plants showed an increase in their future habitat area because of their physiological characteristics which are more adaptable to a wide range of climates. The climatic suitable habitat for 50% of the threatened medicinal plants would migrate to higher altitudes or higher latitudes regions. This study provides a data foundation for the conservation of biodiversity and wild medicinal plants on the QTP. |
| first_indexed | 2024-03-07T19:29:05Z |
| format | Article |
| id | doaj.art-8fac564e9cb54e50b196c36b555a85e9 |
| institution | Directory Open Access Journal |
| issn | 2045-7758 |
| language | English |
| last_indexed | 2024-03-07T19:29:05Z |
| publishDate | 2024-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Ecology and Evolution |
| spelling | doaj.art-8fac564e9cb54e50b196c36b555a85e92024-02-29T08:56:40ZengWileyEcology and Evolution2045-77582024-02-01142n/an/a10.1002/ece3.11042Predicting the potential distribution of 12 threatened medicinal plants on the Qinghai‐Tibet Plateau, with a maximum entropy modelLucun Yang0Xiaofeng Zhu1Wenzhu Song2Xingping Shi3Xiaotao Huang4Qinghai Province Key Laboratory of Qinghai‐Tibet Plateau Biological Resources, Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining ChinaGande County Animal Disease Prevention and Control Center Gande Qinghai ChinaQinghai Province Key Laboratory of Qinghai‐Tibet Plateau Biological Resources, Northwest Institute of Plateau Biology Chinese Academy of Sciences Xining ChinaQing Hai West Copper Co., Ltd Maqin Qinghai ChinaSchool of Geographical Sciences and Tourism Zhaotong University Zhaotong Yunnan ChinaAbstract Climate change is a vital driver of biodiversity patterns and species distributions, understanding how organisms respond to climate change will shed light on the conservation of endangered species. In this study, the MaxEnt model was used to predict the potential suitable area of 12 threatened medicinal plants in the QTP (Qinghai‐Tibet Plateau) under the current and future (2050s, 2070s) three climate scenarios (RCP2.6, RCP4.5, RCP8.5). The results showed that the climatically suitable habitats for the threatened medicinal plants were primarily found in the eastern, southeast, southern, and some parts of the central regions on the QTP. Moreover, 25% of the threatened medicinal plants would have reduced suitable habitat areas within the next 30–50 years in the different future global warming scenarios. Among these medicinal plants, RT (Rheum tanguticum) would miss the most habitat (98.97%), while the RAN (Rhododendron anthopogonoides) would miss the least habitat (10.15%). Nevertheless, 33.3% of the threatened medicinal plants showed an increase in their future habitat area because of their physiological characteristics which are more adaptable to a wide range of climates. The climatic suitable habitat for 50% of the threatened medicinal plants would migrate to higher altitudes or higher latitudes regions. This study provides a data foundation for the conservation of biodiversity and wild medicinal plants on the QTP.https://doi.org/10.1002/ece3.11042barycenter migrationclimate changeQinghai‐Tibet Plateausuitable habitatthreatened medicinal plants |
| spellingShingle | Lucun Yang Xiaofeng Zhu Wenzhu Song Xingping Shi Xiaotao Huang Predicting the potential distribution of 12 threatened medicinal plants on the Qinghai‐Tibet Plateau, with a maximum entropy model Ecology and Evolution barycenter migration climate change Qinghai‐Tibet Plateau suitable habitat threatened medicinal plants |
| title | Predicting the potential distribution of 12 threatened medicinal plants on the Qinghai‐Tibet Plateau, with a maximum entropy model |
| title_full | Predicting the potential distribution of 12 threatened medicinal plants on the Qinghai‐Tibet Plateau, with a maximum entropy model |
| title_fullStr | Predicting the potential distribution of 12 threatened medicinal plants on the Qinghai‐Tibet Plateau, with a maximum entropy model |
| title_full_unstemmed | Predicting the potential distribution of 12 threatened medicinal plants on the Qinghai‐Tibet Plateau, with a maximum entropy model |
| title_short | Predicting the potential distribution of 12 threatened medicinal plants on the Qinghai‐Tibet Plateau, with a maximum entropy model |
| title_sort | predicting the potential distribution of 12 threatened medicinal plants on the qinghai tibet plateau with a maximum entropy model |
| topic | barycenter migration climate change Qinghai‐Tibet Plateau suitable habitat threatened medicinal plants |
| url | https://doi.org/10.1002/ece3.11042 |
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