Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/5626
Title: Modeling Three-Dimensional Microstructure in Heterogeneous Media
Contributor(s): Blair, J M (author); Falconer, R E (author); Milne, A C (author); Young, Iain (author); Crawford, John W (author)
Publication Date: 2007
DOI: 10.2136/sssaj2006.0113
Handle Link: https://hdl.handle.net/1959.11/5626
Abstract: While it is now possible to image the three-dimensional structure of soil using high-resolution tomography, none of the techniques can simultaneously image the distribution of the resident soil microbes. This means that it is not possible to visualize soil microbes in their habitat. Consequently, the impact of soil structure on microbially mediated processes cannot be reliably modeled. Biological thin sections offer the opportunity to simultaneously image microbes in structure but are necessarily restricted to two dimensions. Therefore a methodology is required to simulate three-dimensional structures from two-dimensional thin sections of soil that is extendable to simulate the spatial distribution of a range of soil components. We developed a model that is capable of using data gathered from two-dimensional sections to predict the three-dimensional structure of soil. An object-oriented approach to modeling was used to allow the individual representation of each structure voxel. This allows the model to encapsulate both data, presented here, and the subsequent addition of components such as microbial distribution and related diffusion–respiration processes together in a three-dimensional lattice of voxels. The model was validated using data derived from three-dimensional x-ray tomography images of soil structure, and using two-dimensional sections through that data set to predict three-dimensional structure. A range of metrics was used to compare the modeled and imaged three-dimensional structures. The comparison shows that the metrics for the modeled structures agree with those derived from the three-dimensional images for higher porosities, but that systematic differences occur for the lowest porosity soils (< 11%). This is due to problems relating to the prediction of rare events such as the presence of large connected pores in low-porosity samples.
Publication Type: Journal Article
Source of Publication: Soil Science Society of America Journal, v.71, p. 1807-1812
Publisher: Soil Science Society of America
Place of Publication: United States of America
ISSN: 1435-0661
0361-5995
Field of Research (FOR): 050305 Soil Physics
050399 Soil Sciences not elsewhere classified
050303 Soil Biology
060208 Terrestrial Ecology
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Statistics to Oct 2018: Visitors: 626
Views: 628
Downloads: 0
Appears in Collections:Journal Article

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

SCOPUSTM   
Citations

15
checked on Dec 3, 2018

Page view(s)

32
checked on Jan 12, 2019
Google Media

Google ScholarTM

Check

Altmetric

SCOPUSTM   
Citations

 

WEB OF SCIENCETM
Citations

 

Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.