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...
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doaj-3b9dae66f4054f34a7fdd4c3bd0206942020-11-24T21:08:14ZengPeerJ Inc.PeerJ2167-83592019-01-017e634210.7717/peerj.6342Spatial variability in soil pH and land use as the main influential factor in the red beds of the Nanxiong Basin, ChinaPing Yan0Hua Peng1Luobin Yan2Shaoyun Zhang3Aimin Chen4Kairong Lin5School of Geography and Planning, Sun Yat-sen University, Guangzhou, Guangdong Province, ChinaSchool of Geography and Planning, Sun Yat-sen University, Guangzhou, Guangdong Province, ChinaSchool of Geographical Sciences, Southwest University, Chongqing, Chongqing Province, ChinaSchool of Geography and Planning, Sun Yat-sen University, Guangzhou, Guangdong Province, ChinaSchool of Geography and Planning, Sun Yat-sen University, Guangzhou, Guangdong Province, ChinaSchool of Geography and Planning, Sun Yat-sen University, Guangzhou, Guangdong Province, ChinaSoil 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.https://peerj.com/articles/6342.pdfRed-bed areasSoil pHSpatial variabilitySemivariogramInfluencing factors |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ping Yan Hua Peng Luobin Yan Shaoyun Zhang Aimin Chen Kairong Lin |
spellingShingle |
Ping Yan Hua Peng Luobin Yan Shaoyun Zhang Aimin Chen Kairong Lin Spatial variability in soil pH and land use as the main influential factor in the red beds of the Nanxiong Basin, China PeerJ Red-bed areas Soil pH Spatial variability Semivariogram Influencing factors |
author_facet |
Ping Yan Hua Peng Luobin Yan Shaoyun Zhang Aimin Chen Kairong Lin |
author_sort |
Ping Yan |
title |
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_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_sort |
spatial variability in soil ph and land use as the main influential factor in the red beds of the nanxiong basin, china |
publisher |
PeerJ Inc. |
series |
PeerJ |
issn |
2167-8359 |
publishDate |
2019-01-01 |
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. |
topic |
Red-bed areas Soil pH Spatial variability Semivariogram Influencing factors |
url |
https://peerj.com/articles/6342.pdf |
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