Nonlinear and scaling spatial properties of soil geochemical element contents
(2001) In Water Resources Research 37(4). p.1031-1042- Abstract
The present study aimed at investigating whether a nonlinear and scaling approach is suitable for statistically characterizing the spatial variability of soil geochemical element contents at field conditions. Spatial distributions of 20 soil geochemical elements' contents in an agricultural field soil were investigated. Two indicators of nonlinear scaling were employed, empirical probability distribution functions (pdfs) and structure functions. For the pdfs, a trend was discovered with major elements naturally occurring in the soil being hyperbolic and minor trace elements being close to Gaussian. Further, fertilizer management was found to modify the behavior of related elements. The structure functions were generally nonscaling for... (More)
The present study aimed at investigating whether a nonlinear and scaling approach is suitable for statistically characterizing the spatial variability of soil geochemical element contents at field conditions. Spatial distributions of 20 soil geochemical elements' contents in an agricultural field soil were investigated. Two indicators of nonlinear scaling were employed, empirical probability distribution functions (pdfs) and structure functions. For the pdfs, a trend was discovered with major elements naturally occurring in the soil being hyperbolic and minor trace elements being close to Gaussian. Further, fertilizer management was found to modify the behavior of related elements. The structure functions were generally nonscaling for major elements and scaling for minor elements, however, without any noticeable effect of fertilizer application. The scaling was of both monoaffine and multiaffine type. This suggests that the random cascade models recently used within geophysics may be useful also for geochemical element variability in soil.
(Less)
- author
- Olsson, Jonas
LU
; Berndtsson, Ronny
LU
; Bahri, Akissa ; Persson, Magnus LU and Jinno, Kenji
- organization
- publishing date
- 2001
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Water Resources Research
- volume
- 37
- issue
- 4
- pages
- 12 pages
- publisher
- American Geophysical Union (AGU)
- external identifiers
-
- scopus:0034983592
- ISSN
- 0043-1397
- DOI
- 10.1029/2000WR900354
- language
- English
- LU publication?
- yes
- id
- 1f016717-8d21-4d29-80f0-f2cec5c6047b
- date added to LUP
- 2023-08-17 15:00:34
- date last changed
- 2023-10-02 13:17:20
@article{1f016717-8d21-4d29-80f0-f2cec5c6047b, abstract = {{<p>The present study aimed at investigating whether a nonlinear and scaling approach is suitable for statistically characterizing the spatial variability of soil geochemical element contents at field conditions. Spatial distributions of 20 soil geochemical elements' contents in an agricultural field soil were investigated. Two indicators of nonlinear scaling were employed, empirical probability distribution functions (pdfs) and structure functions. For the pdfs, a trend was discovered with major elements naturally occurring in the soil being hyperbolic and minor trace elements being close to Gaussian. Further, fertilizer management was found to modify the behavior of related elements. The structure functions were generally nonscaling for major elements and scaling for minor elements, however, without any noticeable effect of fertilizer application. The scaling was of both monoaffine and multiaffine type. This suggests that the random cascade models recently used within geophysics may be useful also for geochemical element variability in soil.</p>}}, author = {{Olsson, Jonas and Berndtsson, Ronny and Bahri, Akissa and Persson, Magnus and Jinno, Kenji}}, issn = {{0043-1397}}, language = {{eng}}, number = {{4}}, pages = {{1031--1042}}, publisher = {{American Geophysical Union (AGU)}}, series = {{Water Resources Research}}, title = {{Nonlinear and scaling spatial properties of soil geochemical element contents}}, url = {{http://dx.doi.org/10.1029/2000WR900354}}, doi = {{10.1029/2000WR900354}}, volume = {{37}}, year = {{2001}}, }