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An Improved Method for Monitoring Multiscale Plant Species Diversity of Alpine Grassland Using UAV: A Case Study in the Source Region of the Yellow River, China
Plant species diversity (PSD) is essential in evaluating the function and developing the management and conservation strategies of grassland. However, over a large region, an efficient and high precision method to monitor multiscale PSD (α-, β-, and γ-diversity) is lacking. In this study, we propose...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218072/ https://www.ncbi.nlm.nih.gov/pubmed/35755669 http://dx.doi.org/10.3389/fpls.2022.905715 |
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author | Sun, Yi Yuan, Yaxin Luo, Yifei Ji, Wenxiang Bian, Qingyao Zhu, Zequn Wang, Jingru Qin, Yu He, Xiong Zhao Li, Meng Yi, Shuhua |
author_facet | Sun, Yi Yuan, Yaxin Luo, Yifei Ji, Wenxiang Bian, Qingyao Zhu, Zequn Wang, Jingru Qin, Yu He, Xiong Zhao Li, Meng Yi, Shuhua |
author_sort | Sun, Yi |
collection | PubMed |
description | Plant species diversity (PSD) is essential in evaluating the function and developing the management and conservation strategies of grassland. However, over a large region, an efficient and high precision method to monitor multiscale PSD (α-, β-, and γ-diversity) is lacking. In this study, we proposed and improved an unmanned aerial vehicle (UAV)-based PSD monitoring method (UAV(B)) and tested the feasibility, and meanwhile, explored the potential relationship between multiscale PSD and precipitation on the alpine grassland of the source region of the Yellow River (SRYR), China. Our findings showed that: (1) UAV(B) was more representative (larger monitoring areas and more species identified with higher α- and γ-diversity) than the traditional ground-based monitoring method, though a few specific species (small in size) were difficult to identify; (2) UAV(B) is suitable for monitoring the multiscale PSD over a large region (the SRYR in this study), and the improvement by weighing the dominance of species improved the precision of α-diversity (higher R(2) and lower P values of the linear regressions); and (3) the species diversity indices (α- and β-diversity) increased first and then they tended to be stable with the increase of precipitation in SRYR. These findings conclude that UAV(B) is suitable for monitoring multiscale PSD of an alpine grassland community over a large region, which will be useful for revealing the relationship of diversity–function, and helpful for conservation and sustainable management of the alpine grassland. |
format | Online Article Text |
id | pubmed-9218072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92180722022-06-24 An Improved Method for Monitoring Multiscale Plant Species Diversity of Alpine Grassland Using UAV: A Case Study in the Source Region of the Yellow River, China Sun, Yi Yuan, Yaxin Luo, Yifei Ji, Wenxiang Bian, Qingyao Zhu, Zequn Wang, Jingru Qin, Yu He, Xiong Zhao Li, Meng Yi, Shuhua Front Plant Sci Plant Science Plant species diversity (PSD) is essential in evaluating the function and developing the management and conservation strategies of grassland. However, over a large region, an efficient and high precision method to monitor multiscale PSD (α-, β-, and γ-diversity) is lacking. In this study, we proposed and improved an unmanned aerial vehicle (UAV)-based PSD monitoring method (UAV(B)) and tested the feasibility, and meanwhile, explored the potential relationship between multiscale PSD and precipitation on the alpine grassland of the source region of the Yellow River (SRYR), China. Our findings showed that: (1) UAV(B) was more representative (larger monitoring areas and more species identified with higher α- and γ-diversity) than the traditional ground-based monitoring method, though a few specific species (small in size) were difficult to identify; (2) UAV(B) is suitable for monitoring the multiscale PSD over a large region (the SRYR in this study), and the improvement by weighing the dominance of species improved the precision of α-diversity (higher R(2) and lower P values of the linear regressions); and (3) the species diversity indices (α- and β-diversity) increased first and then they tended to be stable with the increase of precipitation in SRYR. These findings conclude that UAV(B) is suitable for monitoring multiscale PSD of an alpine grassland community over a large region, which will be useful for revealing the relationship of diversity–function, and helpful for conservation and sustainable management of the alpine grassland. Frontiers Media S.A. 2022-06-09 /pmc/articles/PMC9218072/ /pubmed/35755669 http://dx.doi.org/10.3389/fpls.2022.905715 Text en Copyright © 2022 Sun, Yuan, Luo, Ji, Bian, Zhu, Wang, Qin, He, Li and Yi. 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 Sun, Yi Yuan, Yaxin Luo, Yifei Ji, Wenxiang Bian, Qingyao Zhu, Zequn Wang, Jingru Qin, Yu He, Xiong Zhao Li, Meng Yi, Shuhua An Improved Method for Monitoring Multiscale Plant Species Diversity of Alpine Grassland Using UAV: A Case Study in the Source Region of the Yellow River, China |
title | An Improved Method for Monitoring Multiscale Plant Species Diversity of Alpine Grassland Using UAV: A Case Study in the Source Region of the Yellow River, China |
title_full | An Improved Method for Monitoring Multiscale Plant Species Diversity of Alpine Grassland Using UAV: A Case Study in the Source Region of the Yellow River, China |
title_fullStr | An Improved Method for Monitoring Multiscale Plant Species Diversity of Alpine Grassland Using UAV: A Case Study in the Source Region of the Yellow River, China |
title_full_unstemmed | An Improved Method for Monitoring Multiscale Plant Species Diversity of Alpine Grassland Using UAV: A Case Study in the Source Region of the Yellow River, China |
title_short | An Improved Method for Monitoring Multiscale Plant Species Diversity of Alpine Grassland Using UAV: A Case Study in the Source Region of the Yellow River, China |
title_sort | improved method for monitoring multiscale plant species diversity of alpine grassland using uav: a case study in the source region of the yellow river, china |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218072/ https://www.ncbi.nlm.nih.gov/pubmed/35755669 http://dx.doi.org/10.3389/fpls.2022.905715 |
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