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Spatial heterogeneity of soil nutrients in Yili River Valley
Soil nutrients are a vital reference index of soil fertility and are essential in studying spatial variability for the development of land resources. The traditional statistical methods including correlation analysis and geostatistical analysis, were used to explore the spatial variability of nutrie...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9074871/ https://www.ncbi.nlm.nih.gov/pubmed/35529498 http://dx.doi.org/10.7717/peerj.13311 |
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author | Sun, Guojun Liu, Haijun Cui, Dong Chai, Chunmei |
author_facet | Sun, Guojun Liu, Haijun Cui, Dong Chai, Chunmei |
author_sort | Sun, Guojun |
collection | PubMed |
description | Soil nutrients are a vital reference index of soil fertility and are essential in studying spatial variability for the development of land resources. The traditional statistical methods including correlation analysis and geostatistical analysis, were used to explore the spatial variability of nutrients and its influencing factors in the Yili River Valley. The results showed that soil total potassium (STK) had a weak variation, soil organic carbon (SOC), soil total nitrogen (STN) and soil total phosphorus (STP) showed a moderate degree of variation. Correlation analysis showed that SOC had a significant correlation with STN, STP, STK, silt, soil water content (SWC), Cos a and altitude (p < 0.01). In contrast, negative correlations were found between the SOC and sand, soil bulk density (SBD) and pH (p < 0.01), the same as STN. STP had a significant correlation with STK, silt (p < 0.01) and Cos a (p < 0.05), whereas negative correlations were found between the STP, sand and SBD (p < 0.01). STK had a significant correlation with silt, whereas negative correlations were found between the STK, sand and SBD. Ordinary Kriging interpolation showed that the distribution of SOC and STN had a high value in the northeast, northwest and southeast, and a low value in the central and southwest. STP was high in the northwest and southeast and low in the northeast and southwest. STK was high in the northwest and northeast and low in the central and southeast regions. This is helpful for the rational exploitation of land resources in ecological economy development in the Yili River Basin. |
format | Online Article Text |
id | pubmed-9074871 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90748712022-05-07 Spatial heterogeneity of soil nutrients in Yili River Valley Sun, Guojun Liu, Haijun Cui, Dong Chai, Chunmei PeerJ Soil Science Soil nutrients are a vital reference index of soil fertility and are essential in studying spatial variability for the development of land resources. The traditional statistical methods including correlation analysis and geostatistical analysis, were used to explore the spatial variability of nutrients and its influencing factors in the Yili River Valley. The results showed that soil total potassium (STK) had a weak variation, soil organic carbon (SOC), soil total nitrogen (STN) and soil total phosphorus (STP) showed a moderate degree of variation. Correlation analysis showed that SOC had a significant correlation with STN, STP, STK, silt, soil water content (SWC), Cos a and altitude (p < 0.01). In contrast, negative correlations were found between the SOC and sand, soil bulk density (SBD) and pH (p < 0.01), the same as STN. STP had a significant correlation with STK, silt (p < 0.01) and Cos a (p < 0.05), whereas negative correlations were found between the STP, sand and SBD (p < 0.01). STK had a significant correlation with silt, whereas negative correlations were found between the STK, sand and SBD. Ordinary Kriging interpolation showed that the distribution of SOC and STN had a high value in the northeast, northwest and southeast, and a low value in the central and southwest. STP was high in the northwest and southeast and low in the northeast and southwest. STK was high in the northwest and northeast and low in the central and southeast regions. This is helpful for the rational exploitation of land resources in ecological economy development in the Yili River Basin. PeerJ Inc. 2022-05-03 /pmc/articles/PMC9074871/ /pubmed/35529498 http://dx.doi.org/10.7717/peerj.13311 Text en © 2022 Sun 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 | Soil Science Sun, Guojun Liu, Haijun Cui, Dong Chai, Chunmei Spatial heterogeneity of soil nutrients in Yili River Valley |
title | Spatial heterogeneity of soil nutrients in Yili River Valley |
title_full | Spatial heterogeneity of soil nutrients in Yili River Valley |
title_fullStr | Spatial heterogeneity of soil nutrients in Yili River Valley |
title_full_unstemmed | Spatial heterogeneity of soil nutrients in Yili River Valley |
title_short | Spatial heterogeneity of soil nutrients in Yili River Valley |
title_sort | spatial heterogeneity of soil nutrients in yili river valley |
topic | Soil Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9074871/ https://www.ncbi.nlm.nih.gov/pubmed/35529498 http://dx.doi.org/10.7717/peerj.13311 |
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