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Quantifying Spatial Variability of Selected Soil Trace Elements and Their Scaling Relationships Using Multifractal Techniques

Multifractal techniques were utilized to quantify the spatial variability of selected soil trace elements and their scaling relationships in a 10.24-ha agricultural field in northeast China. 1024 soil samples were collected from the field and available Fe, Mn, Cu and Zn were measured in each sample....

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Autores principales: Zhang, Fasheng, Yin, Guanghua, Wang, Zhenying, McLaughlin, Neil, Geng, Xiaoyuan, Liu, Zuoxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3706377/
https://www.ncbi.nlm.nih.gov/pubmed/23874944
http://dx.doi.org/10.1371/journal.pone.0069326
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author Zhang, Fasheng
Yin, Guanghua
Wang, Zhenying
McLaughlin, Neil
Geng, Xiaoyuan
Liu, Zuoxin
author_facet Zhang, Fasheng
Yin, Guanghua
Wang, Zhenying
McLaughlin, Neil
Geng, Xiaoyuan
Liu, Zuoxin
author_sort Zhang, Fasheng
collection PubMed
description Multifractal techniques were utilized to quantify the spatial variability of selected soil trace elements and their scaling relationships in a 10.24-ha agricultural field in northeast China. 1024 soil samples were collected from the field and available Fe, Mn, Cu and Zn were measured in each sample. Descriptive results showed that Mn deficiencies were widespread throughout the field while Fe and Zn deficiencies tended to occur in patches. By estimating single multifractal spectra, we found that available Fe, Cu and Zn in the study soils exhibited high spatial variability and the existence of anomalies ([α(q)(max)−α(q)(min)]≥0.54), whereas available Mn had a relatively uniform distribution ([α(q)(max)−α(q)(min)]≈0.10). The joint multifractal spectra revealed that the strong positive relationships (r≥0.86, P<0.001) among available Fe, Cu and Zn were all valid across a wider range of scales and over the full range of data values, whereas available Mn was weakly related to available Fe and Zn (r≥0.18, P<0.01) but not related to available Cu (r = −0.03, P = 0.40). These results show that the variability and singularities of selected soil trace elements as well as their scaling relationships can be characterized by single and joint multifractal parameters. The findings presented in this study could be extended to predict selected soil trace elements at larger regional scales with the aid of geographic information systems.
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spelling pubmed-37063772013-07-19 Quantifying Spatial Variability of Selected Soil Trace Elements and Their Scaling Relationships Using Multifractal Techniques Zhang, Fasheng Yin, Guanghua Wang, Zhenying McLaughlin, Neil Geng, Xiaoyuan Liu, Zuoxin PLoS One Research Article Multifractal techniques were utilized to quantify the spatial variability of selected soil trace elements and their scaling relationships in a 10.24-ha agricultural field in northeast China. 1024 soil samples were collected from the field and available Fe, Mn, Cu and Zn were measured in each sample. Descriptive results showed that Mn deficiencies were widespread throughout the field while Fe and Zn deficiencies tended to occur in patches. By estimating single multifractal spectra, we found that available Fe, Cu and Zn in the study soils exhibited high spatial variability and the existence of anomalies ([α(q)(max)−α(q)(min)]≥0.54), whereas available Mn had a relatively uniform distribution ([α(q)(max)−α(q)(min)]≈0.10). The joint multifractal spectra revealed that the strong positive relationships (r≥0.86, P<0.001) among available Fe, Cu and Zn were all valid across a wider range of scales and over the full range of data values, whereas available Mn was weakly related to available Fe and Zn (r≥0.18, P<0.01) but not related to available Cu (r = −0.03, P = 0.40). These results show that the variability and singularities of selected soil trace elements as well as their scaling relationships can be characterized by single and joint multifractal parameters. The findings presented in this study could be extended to predict selected soil trace elements at larger regional scales with the aid of geographic information systems. Public Library of Science 2013-07-09 /pmc/articles/PMC3706377/ /pubmed/23874944 http://dx.doi.org/10.1371/journal.pone.0069326 Text en © 2013 Zhang 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Zhang, Fasheng
Yin, Guanghua
Wang, Zhenying
McLaughlin, Neil
Geng, Xiaoyuan
Liu, Zuoxin
Quantifying Spatial Variability of Selected Soil Trace Elements and Their Scaling Relationships Using Multifractal Techniques
title Quantifying Spatial Variability of Selected Soil Trace Elements and Their Scaling Relationships Using Multifractal Techniques
title_full Quantifying Spatial Variability of Selected Soil Trace Elements and Their Scaling Relationships Using Multifractal Techniques
title_fullStr Quantifying Spatial Variability of Selected Soil Trace Elements and Their Scaling Relationships Using Multifractal Techniques
title_full_unstemmed Quantifying Spatial Variability of Selected Soil Trace Elements and Their Scaling Relationships Using Multifractal Techniques
title_short Quantifying Spatial Variability of Selected Soil Trace Elements and Their Scaling Relationships Using Multifractal Techniques
title_sort quantifying spatial variability of selected soil trace elements and their scaling relationships using multifractal techniques
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3706377/
https://www.ncbi.nlm.nih.gov/pubmed/23874944
http://dx.doi.org/10.1371/journal.pone.0069326
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