Spatiotemporal range dynamics and conservation optimization for endangered medicinal plants in the Himalaya
Global climate change threatens the spatiotemporal distribution and resilience of species, especially those in mountainous regions. The Himalaya, a global biodiversity hotspot, harbors one of the richest medicinal plant communities, which are economically significant and contribute to human well-bei...
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Elsevier
2025-01-01
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| Series: | Global Ecology and Conservation |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2351989424005948 |
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| author | Fu-Lv Liu Winnie Wanjiku Mambo Jie Liu Guang-Fu Zhu Raees Khan Abdullah Shujaul Mulk Khan Lu Lu |
| author_facet | Fu-Lv Liu Winnie Wanjiku Mambo Jie Liu Guang-Fu Zhu Raees Khan Abdullah Shujaul Mulk Khan Lu Lu |
| author_sort | Fu-Lv Liu |
| collection | DOAJ |
| description | Global climate change threatens the spatiotemporal distribution and resilience of species, especially those in mountainous regions. The Himalaya, a global biodiversity hotspot, harbors one of the richest medicinal plant communities, which are economically significant and contribute to human well-being through their health benefits. However, our understanding of species distribution across space and time under climate change scenarios, as well as effective conservation planning for these medicinal plants in the Himalaya, remains limited. In this study, we used the biomod2 ensemble model to predict the potential habitats of ten medicinal species using 497 occurrence points and 26 environmental variables under the past, present, and two future scenarios (2090; SSP126 and SSP585). We analyzed the spatiotemporal range dynamics of the ten species, performed their threat assessment using the redlistr R package, and developed a systematic conservation plan using Zonation 4.0 software. Our results showed that the habitat of most medicinal plants in the Himalaya have expanded their habitat range from the Last Glacial Maximum to the present, with a substantial contraction projected in both future scenarios. Six species migrated northwards towards high elevation, while four species migrated southwards. Threat assessment results indicated that all the species are endangered. Our conservation planning analysis revealed that northern parts of Pakistan such as Swat, Shangla, Hazara division, Jammu, and Kashmir are the core conservation areas for these ten species. We propose establishing additional protected areas in the Himalaya particularly in the western Himalaya for better management and conservation of endangered medicinal plants. |
| format | Article |
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| institution | Kabale University |
| issn | 2351-9894 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
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| series | Global Ecology and Conservation |
| spelling | doaj-art-d0ff86b3a8be4f1f9a8b47363ae3790c2025-01-23T05:27:00ZengElsevierGlobal Ecology and Conservation2351-98942025-01-0157e03390Spatiotemporal range dynamics and conservation optimization for endangered medicinal plants in the HimalayaFu-Lv Liu0Winnie Wanjiku Mambo1Jie Liu2Guang-Fu Zhu3Raees Khan4 Abdullah5Shujaul Mulk Khan6Lu Lu7School of Pharmaceutical Sciences, Yunnan Key Laboratory of Pharmacology for Natural Products, and Yunnan College of Modern Biomedical Industry, Kunming Medical University, Kunming, Yunnan 650500, China; CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, ChinaCAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China; Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China; University of Chinese Academy of Sciences, Beijing, ChinaCAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China; Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China; Corresponding author at: CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China.Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, ChinaCAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China; Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, ChinaCAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China; Germplasm Bank of Wild Species & Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, ChinaDepartment of Plant Sciences, Quaid-i-Azam University, Islamabad 45320, Pakistan; Pakistan Academy of Sciences, Islamabad, Pakistan; Corresponding author at: Department of Plant Sciences, Quaid-i-Azam University, Islamabad 45320, Pakistan.School of Pharmaceutical Sciences, Yunnan Key Laboratory of Pharmacology for Natural Products, and Yunnan College of Modern Biomedical Industry, Kunming Medical University, Kunming, Yunnan 650500, China; Corresponding author.Global climate change threatens the spatiotemporal distribution and resilience of species, especially those in mountainous regions. The Himalaya, a global biodiversity hotspot, harbors one of the richest medicinal plant communities, which are economically significant and contribute to human well-being through their health benefits. However, our understanding of species distribution across space and time under climate change scenarios, as well as effective conservation planning for these medicinal plants in the Himalaya, remains limited. In this study, we used the biomod2 ensemble model to predict the potential habitats of ten medicinal species using 497 occurrence points and 26 environmental variables under the past, present, and two future scenarios (2090; SSP126 and SSP585). We analyzed the spatiotemporal range dynamics of the ten species, performed their threat assessment using the redlistr R package, and developed a systematic conservation plan using Zonation 4.0 software. Our results showed that the habitat of most medicinal plants in the Himalaya have expanded their habitat range from the Last Glacial Maximum to the present, with a substantial contraction projected in both future scenarios. Six species migrated northwards towards high elevation, while four species migrated southwards. Threat assessment results indicated that all the species are endangered. Our conservation planning analysis revealed that northern parts of Pakistan such as Swat, Shangla, Hazara division, Jammu, and Kashmir are the core conservation areas for these ten species. We propose establishing additional protected areas in the Himalaya particularly in the western Himalaya for better management and conservation of endangered medicinal plants.http://www.sciencedirect.com/science/article/pii/S2351989424005948biomod2Climate changeHimalayaMedicinal plantsRange shiftSystematic conservation planning |
| spellingShingle | Fu-Lv Liu Winnie Wanjiku Mambo Jie Liu Guang-Fu Zhu Raees Khan Abdullah Shujaul Mulk Khan Lu Lu Spatiotemporal range dynamics and conservation optimization for endangered medicinal plants in the Himalaya Global Ecology and Conservation biomod2 Climate change Himalaya Medicinal plants Range shift Systematic conservation planning |
| title | Spatiotemporal range dynamics and conservation optimization for endangered medicinal plants in the Himalaya |
| title_full | Spatiotemporal range dynamics and conservation optimization for endangered medicinal plants in the Himalaya |
| title_fullStr | Spatiotemporal range dynamics and conservation optimization for endangered medicinal plants in the Himalaya |
| title_full_unstemmed | Spatiotemporal range dynamics and conservation optimization for endangered medicinal plants in the Himalaya |
| title_short | Spatiotemporal range dynamics and conservation optimization for endangered medicinal plants in the Himalaya |
| title_sort | spatiotemporal range dynamics and conservation optimization for endangered medicinal plants in the himalaya |
| topic | biomod2 Climate change Himalaya Medicinal plants Range shift Systematic conservation planning |
| url | http://www.sciencedirect.com/science/article/pii/S2351989424005948 |
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