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Spatial variability in soil pH and land use as the main influential factor in the red beds of the Nanxiong Basin, China
Soil pH is the main factor affecting soil nutrient availability and chemical substances in soil. It is of great significance to study the spatial variability of soil pH for the management of soil nutrients and the prediction of soil pollution. In order to explore the causes of spatial variability in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359902/ https://www.ncbi.nlm.nih.gov/pubmed/30723625 http://dx.doi.org/10.7717/peerj.6342 |
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author | Yan, Ping Peng, Hua Yan, Luobin Zhang, Shaoyun Chen, Aimin Lin, Kairong |
author_facet | Yan, Ping Peng, Hua Yan, Luobin Zhang, Shaoyun Chen, Aimin Lin, Kairong |
author_sort | Yan, Ping |
collection | PubMed |
description | Soil pH is the main factor affecting soil nutrient availability and chemical substances in soil. It is of great significance to study the spatial variability of soil pH for the management of soil nutrients and the prediction of soil pollution. In order to explore the causes of spatial variability in soil pH in red-bed areas, the Nanxiong Basin in south China was selected as an example, and soil pH was measured in the topsoil by nested sampling (0–20 cm depth). The spatial variability characteristics of soil pH were analyzed by geostatistics and classical statistical methods, and the main factors influencing spatial variability in soil pH are discussed. The coefficient of variation in the red-bed areas of Nanxiong Basin was 17.18%, indicating moderate variability. Geostatistical analysis showed that the spherical model is the optimal theoretical model for explaining variability in soil pH, which is influenced by both structural and random factors. Analysis of the spatial distribution and pattern showed that soil pH is relatively high in the northeast and southwest, and is lower in the northwest. These results indicate that land use patterns and topographic factors are the main and secondary influencing factors, respectively. |
format | Online Article Text |
id | pubmed-6359902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63599022019-02-05 Spatial variability in soil pH and land use as the main influential factor in the red beds of the Nanxiong Basin, China Yan, Ping Peng, Hua Yan, Luobin Zhang, Shaoyun Chen, Aimin Lin, Kairong PeerJ Agricultural Science Soil pH is the main factor affecting soil nutrient availability and chemical substances in soil. It is of great significance to study the spatial variability of soil pH for the management of soil nutrients and the prediction of soil pollution. In order to explore the causes of spatial variability in soil pH in red-bed areas, the Nanxiong Basin in south China was selected as an example, and soil pH was measured in the topsoil by nested sampling (0–20 cm depth). The spatial variability characteristics of soil pH were analyzed by geostatistics and classical statistical methods, and the main factors influencing spatial variability in soil pH are discussed. The coefficient of variation in the red-bed areas of Nanxiong Basin was 17.18%, indicating moderate variability. Geostatistical analysis showed that the spherical model is the optimal theoretical model for explaining variability in soil pH, which is influenced by both structural and random factors. Analysis of the spatial distribution and pattern showed that soil pH is relatively high in the northeast and southwest, and is lower in the northwest. These results indicate that land use patterns and topographic factors are the main and secondary influencing factors, respectively. PeerJ Inc. 2019-01-30 /pmc/articles/PMC6359902/ /pubmed/30723625 http://dx.doi.org/10.7717/peerj.6342 Text en ©2019 Yan et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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 | Agricultural Science Yan, Ping Peng, Hua Yan, Luobin Zhang, Shaoyun Chen, Aimin Lin, Kairong Spatial variability in soil pH and land use as the main influential factor in the red beds of the Nanxiong Basin, China |
title | Spatial variability in soil pH and land use as the main influential factor in the red beds of the Nanxiong Basin, China |
title_full | Spatial variability in soil pH and land use as the main influential factor in the red beds of the Nanxiong Basin, China |
title_fullStr | Spatial variability in soil pH and land use as the main influential factor in the red beds of the Nanxiong Basin, China |
title_full_unstemmed | Spatial variability in soil pH and land use as the main influential factor in the red beds of the Nanxiong Basin, China |
title_short | Spatial variability in soil pH and land use as the main influential factor in the red beds of the Nanxiong Basin, China |
title_sort | spatial variability in soil ph and land use as the main influential factor in the red beds of the nanxiong basin, china |
topic | Agricultural Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359902/ https://www.ncbi.nlm.nih.gov/pubmed/30723625 http://dx.doi.org/10.7717/peerj.6342 |
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