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Multidimensional beta‐diversity across local and regional scales in a Chinese subtropical forest: The role of forest structure
Beta‐diversity, or the spatio‐temporal variation in community composition, can be partitioned into turnover and nestedness components in a multidimensional framework. Forest structure, including comprehensive characteristics of vertical and horizontal complexity, strongly affects species composition...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597745/ https://www.ncbi.nlm.nih.gov/pubmed/37881223 http://dx.doi.org/10.1002/ece3.10607 |
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author | Yao, Zhiliang Yang, Xin Wang, Bin Shao, Xiaona Wen, Handong Deng, Yun Zhang, Zhiming Cao, Min Lin, Luxiang |
author_facet | Yao, Zhiliang Yang, Xin Wang, Bin Shao, Xiaona Wen, Handong Deng, Yun Zhang, Zhiming Cao, Min Lin, Luxiang |
author_sort | Yao, Zhiliang |
collection | PubMed |
description | Beta‐diversity, or the spatio‐temporal variation in community composition, can be partitioned into turnover and nestedness components in a multidimensional framework. Forest structure, including comprehensive characteristics of vertical and horizontal complexity, strongly affects species composition and its spatial variation. However, the effects of forest structure on beta‐diversity patterns in multidimensional and multiple‐scale contexts are poorly understood. Here, we assessed beta‐diversity at local (a 20‐ha forest dynamics plot) and regional (a plot network composed of 19 1‐ha plots) scales in a Chinese subtropical evergreen broad‐leaved forest. We then evaluated the relative importance of forest structure, topography, and spatial structure on beta‐diversity and its turnover and nestedness components in taxonomic, functional, and phylogenetic dimensions at local and regional scales. We derived forest structural parameters from both unmanned aerial vehicle light detection and ranging (UAV LiDAR) data and plot inventory data. Turnover component dominated total beta‐diversity for all dimensions at the two scales. With the exception of some components (taxonomic and functional turnover at the local scale; functional nestedness at the regional scale), environmental factors (i.e., topography and forest structure) contributed more than pure spatial variation. Explanations of forest structure for beta‐diversity and its component patterns at the local scale were higher than those at the regional scale. The joint effects of spatial structure and forest structure influenced component patterns in all dimensions (except for functional turnover) to some extent at the local scale, while pure forest structure influenced taxonomic and phylogenetic nestedness patterns to some extent at the regional scale. Our results highlight the importance and scale dependence of forest structure in shaping multidimensional beta‐diversity and its component patterns. Clearly, further studies need to link forest structure directly to ecological processes (e.g., asymmetric light competition and disturbance dynamics) and explore its roles in biodiversity maintenance. |
format | Online Article Text |
id | pubmed-10597745 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105977452023-10-25 Multidimensional beta‐diversity across local and regional scales in a Chinese subtropical forest: The role of forest structure Yao, Zhiliang Yang, Xin Wang, Bin Shao, Xiaona Wen, Handong Deng, Yun Zhang, Zhiming Cao, Min Lin, Luxiang Ecol Evol Research Articles Beta‐diversity, or the spatio‐temporal variation in community composition, can be partitioned into turnover and nestedness components in a multidimensional framework. Forest structure, including comprehensive characteristics of vertical and horizontal complexity, strongly affects species composition and its spatial variation. However, the effects of forest structure on beta‐diversity patterns in multidimensional and multiple‐scale contexts are poorly understood. Here, we assessed beta‐diversity at local (a 20‐ha forest dynamics plot) and regional (a plot network composed of 19 1‐ha plots) scales in a Chinese subtropical evergreen broad‐leaved forest. We then evaluated the relative importance of forest structure, topography, and spatial structure on beta‐diversity and its turnover and nestedness components in taxonomic, functional, and phylogenetic dimensions at local and regional scales. We derived forest structural parameters from both unmanned aerial vehicle light detection and ranging (UAV LiDAR) data and plot inventory data. Turnover component dominated total beta‐diversity for all dimensions at the two scales. With the exception of some components (taxonomic and functional turnover at the local scale; functional nestedness at the regional scale), environmental factors (i.e., topography and forest structure) contributed more than pure spatial variation. Explanations of forest structure for beta‐diversity and its component patterns at the local scale were higher than those at the regional scale. The joint effects of spatial structure and forest structure influenced component patterns in all dimensions (except for functional turnover) to some extent at the local scale, while pure forest structure influenced taxonomic and phylogenetic nestedness patterns to some extent at the regional scale. Our results highlight the importance and scale dependence of forest structure in shaping multidimensional beta‐diversity and its component patterns. Clearly, further studies need to link forest structure directly to ecological processes (e.g., asymmetric light competition and disturbance dynamics) and explore its roles in biodiversity maintenance. John Wiley and Sons Inc. 2023-10-24 /pmc/articles/PMC10597745/ /pubmed/37881223 http://dx.doi.org/10.1002/ece3.10607 Text en © 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Yao, Zhiliang Yang, Xin Wang, Bin Shao, Xiaona Wen, Handong Deng, Yun Zhang, Zhiming Cao, Min Lin, Luxiang Multidimensional beta‐diversity across local and regional scales in a Chinese subtropical forest: The role of forest structure |
title | Multidimensional beta‐diversity across local and regional scales in a Chinese subtropical forest: The role of forest structure |
title_full | Multidimensional beta‐diversity across local and regional scales in a Chinese subtropical forest: The role of forest structure |
title_fullStr | Multidimensional beta‐diversity across local and regional scales in a Chinese subtropical forest: The role of forest structure |
title_full_unstemmed | Multidimensional beta‐diversity across local and regional scales in a Chinese subtropical forest: The role of forest structure |
title_short | Multidimensional beta‐diversity across local and regional scales in a Chinese subtropical forest: The role of forest structure |
title_sort | multidimensional beta‐diversity across local and regional scales in a chinese subtropical forest: the role of forest structure |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597745/ https://www.ncbi.nlm.nih.gov/pubmed/37881223 http://dx.doi.org/10.1002/ece3.10607 |
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