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Quantifying spatial variability of selected soil trace elements and their scaling relationships using multifractal

Fasheng Zhang1, Guanghua Yin, Zhenying Wang

  • 1Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China. fasheng.zhang@yahoo.com

Plos One
|July 23, 2013
PubMed
Summary
This summary is machine-generated.

Multifractal analysis revealed distinct spatial patterns for soil trace elements. Iron, copper, and zinc showed high variability and strong interrelationships, unlike manganese, which was uniformly distributed.

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Area of Science:

  • Soil Science
  • Geochemistry
  • Environmental Science

Background:

  • Understanding soil trace element spatial variability is crucial for agricultural management.
  • Trace elements like iron (Fe), manganese (Mn), copper (Cu), and zinc (Zn) play vital roles in soil health and plant nutrition.
  • Patchy or uniform distribution of these elements impacts nutrient availability and potential deficiencies.

Purpose of the Study:

  • To quantify the spatial variability and scaling relationships of available Fe, Mn, Cu, and Zn in an agricultural field.
  • To assess the distribution patterns and interrelationships of these essential soil trace elements using multifractal techniques.
  • To explore the applicability of multifractal parameters in characterizing soil trace element behavior.

Main Methods:

  • Collected 1024 soil samples from a 10.24-ha agricultural field in northeast China.
  • Measured available Fe, Mn, Cu, and Zn concentrations in each soil sample.
  • Applied single and joint multifractal spectral analyses to quantify spatial variability and scaling relationships.

Main Results:

  • Available Fe, Cu, and Zn exhibited high spatial variability and anomalies, while Mn showed a uniform distribution.
  • Strong positive correlations were found among Fe, Cu, and Zn across various scales.
  • Mn displayed weak relationships with Fe and Zn, and no significant relationship with Cu.

Conclusions:

  • Multifractal parameters effectively characterize the variability and singularities of soil trace elements and their scaling relationships.
  • The distinct spatial patterns of Fe, Cu, and Zn suggest common controlling factors, unlike Mn.
  • Findings can inform predictive modeling of soil trace elements at larger scales using GIS.