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Prediction of potential distribution areas and priority protected areas of Agastache rugosa based on Maxent model and Marxan model
Agastache rugosa (Fisch. & C. A. Mey.) Kuntze has been widely studied because of its high medicinal and edible value. Establishing the priority protected area of wild A. rugosa can provide scientific basis for the protection of germplasm resources. In this study, we predicted the potential suita...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405825/ https://www.ncbi.nlm.nih.gov/pubmed/37554556 http://dx.doi.org/10.3389/fpls.2023.1200796 |
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author | Wang, Yongji Zhao, Ruxia Zhou, Xueyong Zhang, Xiaolong Zhao, Guanghua Zhang, Fenguo |
author_facet | Wang, Yongji Zhao, Ruxia Zhou, Xueyong Zhang, Xiaolong Zhao, Guanghua Zhang, Fenguo |
author_sort | Wang, Yongji |
collection | PubMed |
description | Agastache rugosa (Fisch. & C. A. Mey.) Kuntze has been widely studied because of its high medicinal and edible value. Establishing the priority protected area of wild A. rugosa can provide scientific basis for the protection of germplasm resources. In this study, we predicted the potential suitability distribution area of A. rugosa under the current and future climate scenarios with the MaxEnt model, and the dominant climate factors affecting the distribution of A. rugosa were analyzed. Based on the above results, we predicted the priority protected areas of A. rugosa with the Marxan model. The results showed that A. rugosa is mainly distributed in the eastern and central regions of China at present. In future, the suitable area of A. rugosa will increase, otherwise a few areas will shrink back and migrate to the high latitude areas as a whole. Hydrothermal conditions are the main environmental factors affecting the distribution of A. rugosa. The priority protected areas of A. rugosa are mainly distributed in Chongqing, eastern Sichuan, southern Guizhou, western Hunan and Hubei and southwestern Shaanxi, which are basically consistent with the highly suitable areas predicted by Maxent model. The results of this study are of great significance for the protection and rational utilization of species of Agastache. |
format | Online Article Text |
id | pubmed-10405825 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104058252023-08-08 Prediction of potential distribution areas and priority protected areas of Agastache rugosa based on Maxent model and Marxan model Wang, Yongji Zhao, Ruxia Zhou, Xueyong Zhang, Xiaolong Zhao, Guanghua Zhang, Fenguo Front Plant Sci Plant Science Agastache rugosa (Fisch. & C. A. Mey.) Kuntze has been widely studied because of its high medicinal and edible value. Establishing the priority protected area of wild A. rugosa can provide scientific basis for the protection of germplasm resources. In this study, we predicted the potential suitability distribution area of A. rugosa under the current and future climate scenarios with the MaxEnt model, and the dominant climate factors affecting the distribution of A. rugosa were analyzed. Based on the above results, we predicted the priority protected areas of A. rugosa with the Marxan model. The results showed that A. rugosa is mainly distributed in the eastern and central regions of China at present. In future, the suitable area of A. rugosa will increase, otherwise a few areas will shrink back and migrate to the high latitude areas as a whole. Hydrothermal conditions are the main environmental factors affecting the distribution of A. rugosa. The priority protected areas of A. rugosa are mainly distributed in Chongqing, eastern Sichuan, southern Guizhou, western Hunan and Hubei and southwestern Shaanxi, which are basically consistent with the highly suitable areas predicted by Maxent model. The results of this study are of great significance for the protection and rational utilization of species of Agastache. Frontiers Media S.A. 2023-07-24 /pmc/articles/PMC10405825/ /pubmed/37554556 http://dx.doi.org/10.3389/fpls.2023.1200796 Text en Copyright © 2023 Wang, Zhao, Zhou, Zhang, Zhao and Zhang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Wang, Yongji Zhao, Ruxia Zhou, Xueyong Zhang, Xiaolong Zhao, Guanghua Zhang, Fenguo Prediction of potential distribution areas and priority protected areas of Agastache rugosa based on Maxent model and Marxan model |
title | Prediction of potential distribution areas and priority protected areas of Agastache rugosa based on Maxent model and Marxan model |
title_full | Prediction of potential distribution areas and priority protected areas of Agastache rugosa based on Maxent model and Marxan model |
title_fullStr | Prediction of potential distribution areas and priority protected areas of Agastache rugosa based on Maxent model and Marxan model |
title_full_unstemmed | Prediction of potential distribution areas and priority protected areas of Agastache rugosa based on Maxent model and Marxan model |
title_short | Prediction of potential distribution areas and priority protected areas of Agastache rugosa based on Maxent model and Marxan model |
title_sort | prediction of potential distribution areas and priority protected areas of agastache rugosa based on maxent model and marxan model |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405825/ https://www.ncbi.nlm.nih.gov/pubmed/37554556 http://dx.doi.org/10.3389/fpls.2023.1200796 |
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