2023
DOI: 10.1071/sr22248
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Understanding and quantifying whole soil-profile organic carbon transfer using an environmental tracer

G. R. Hancock

Abstract: Context Quantifying soil organic carbon (SOC) depth distribution and its vertical transport is needed for both improved understanding of soil properties and behaviour as well as enhanced organic carbon sequestration. This is a global issue, that if better understood, could result in both more agriculturally productive soils as well as enhanced environmental outcomes. Aims Quantify whole soil-profile SOC and down-profile movement at a series of sites in south-east Australia. Methods Soil is sample… Show more

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Cited by 1 publication
(8 citation statements)
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“…The rate and pattern of soil component movement down the profile will be location specific based on site geology, soil mineralogy, climate, vegetation and land use. The findings here suggest that soil materials can move relatively rapidly down the soil profile which suggests the potential for movement of SOC to depth (Hancock 2023a).…”
Section: Discussionmentioning
confidence: 60%
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“…The rate and pattern of soil component movement down the profile will be location specific based on site geology, soil mineralogy, climate, vegetation and land use. The findings here suggest that soil materials can move relatively rapidly down the soil profile which suggests the potential for movement of SOC to depth (Hancock 2023a).…”
Section: Discussionmentioning
confidence: 60%
“…The method has been extensively employed in the study region to examine both soil erosion and soil organic carbon (SOC) transport (Martinez et al 2009(Martinez et al , 2010Wells and Hancock 2014;Hancock et al 2015Hancock et al , 2019. Due to its uniqueness in the environment and its delivery to the environment between 1945 and 1972, it can be used to provide an age constraint on soil material (Hancock 2023a). The University of Newcastle houses two p-type high purity germanium (HPGe) gamma ray detectors that were installed in 1992.…”
Section: Laboratory Analysismentioning
confidence: 99%
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