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Factors influencing the distribution of woody plants in tropical karst hills, south China
The seasonal rainforests distributed across the tropical karst hills of south China are of high biodiversity conservation value and serve many important ecosystem functions. However, knowledge surrounding distribution patterns of woody plants in tropical karst hills remains limited. In this study, w...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615033/ https://www.ncbi.nlm.nih.gov/pubmed/37908415 http://dx.doi.org/10.7717/peerj.16331 |
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author | Hu, Gang Zhang, Zhonghua Wu, Hongping Li, Lei |
author_facet | Hu, Gang Zhang, Zhonghua Wu, Hongping Li, Lei |
author_sort | Hu, Gang |
collection | PubMed |
description | The seasonal rainforests distributed across the tropical karst hills of south China are of high biodiversity conservation value and serve many important ecosystem functions. However, knowledge surrounding distribution patterns of woody plants in tropical karst hills remains limited. In this study, we surveyed the distribution of families, genera and species of woody flora at four slope positions (depression, lower slope, middle slope, and upper slope), and analyzed the influence of topographic and soil variables on the distribution of woody plants in the tropical karst hills of south China. Forty forest plots (each 20 m × 20 m) contained 306 species of woody plants with a diameter at breast height (DBH) ≥1 cm, representing 187 genera and 66 families. As slope increased, the number of families increased slowly, and the number of genera and species followed a concave-shaped trend, with the lowest number of genera and species in the lower slope position. Differences in species composition were significantly stronger between slope positions than within slope positions. The topographic and soil variables explained 22.4% and 19.6%, respectively, of the distribution of woody plants, with slope position, slope degree, soil potassium and soil water content as the most significant variables. The results of generalized linear mixed model analysis showed that total R(2) of fixed effects on variation of woody species richness was 0.498, and rock outcrop rate and soil total phosphorus were the best fitting effects. Our results help to explain the community assembly mechanism and to inform management and protection strategies for species-rich seasonal rainforests in the karst area. |
format | Online Article Text |
id | pubmed-10615033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106150332023-10-31 Factors influencing the distribution of woody plants in tropical karst hills, south China Hu, Gang Zhang, Zhonghua Wu, Hongping Li, Lei PeerJ Ecology The seasonal rainforests distributed across the tropical karst hills of south China are of high biodiversity conservation value and serve many important ecosystem functions. However, knowledge surrounding distribution patterns of woody plants in tropical karst hills remains limited. In this study, we surveyed the distribution of families, genera and species of woody flora at four slope positions (depression, lower slope, middle slope, and upper slope), and analyzed the influence of topographic and soil variables on the distribution of woody plants in the tropical karst hills of south China. Forty forest plots (each 20 m × 20 m) contained 306 species of woody plants with a diameter at breast height (DBH) ≥1 cm, representing 187 genera and 66 families. As slope increased, the number of families increased slowly, and the number of genera and species followed a concave-shaped trend, with the lowest number of genera and species in the lower slope position. Differences in species composition were significantly stronger between slope positions than within slope positions. The topographic and soil variables explained 22.4% and 19.6%, respectively, of the distribution of woody plants, with slope position, slope degree, soil potassium and soil water content as the most significant variables. The results of generalized linear mixed model analysis showed that total R(2) of fixed effects on variation of woody species richness was 0.498, and rock outcrop rate and soil total phosphorus were the best fitting effects. Our results help to explain the community assembly mechanism and to inform management and protection strategies for species-rich seasonal rainforests in the karst area. PeerJ Inc. 2023-10-27 /pmc/articles/PMC10615033/ /pubmed/37908415 http://dx.doi.org/10.7717/peerj.16331 Text en © 2023 Hu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Ecology Hu, Gang Zhang, Zhonghua Wu, Hongping Li, Lei Factors influencing the distribution of woody plants in tropical karst hills, south China |
title | Factors influencing the distribution of woody plants in tropical karst hills, south China |
title_full | Factors influencing the distribution of woody plants in tropical karst hills, south China |
title_fullStr | Factors influencing the distribution of woody plants in tropical karst hills, south China |
title_full_unstemmed | Factors influencing the distribution of woody plants in tropical karst hills, south China |
title_short | Factors influencing the distribution of woody plants in tropical karst hills, south China |
title_sort | factors influencing the distribution of woody plants in tropical karst hills, south china |
topic | Ecology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615033/ https://www.ncbi.nlm.nih.gov/pubmed/37908415 http://dx.doi.org/10.7717/peerj.16331 |
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