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Quantifying the rate and depth dependence of bioturbation based on optically-stimulated luminescence (OSL) dates and meteoric 10Be

Johnson, Michelle; Pillans, Bradley; Mudd, Simon; Spooner, Nigel; Fifield, L Keith; Kirkby, Mike; Gloor, Manuel

Description

Both the rate and the vertical distribution of soil disturbance modify soil properties such as porosity, particle size, chemical composition and age structure; all of which play an important role in a soil's biogeochemical functioning. Whereas rates of mixing have been previously quantified, the nature of bioturbation's depth dependence remains poorly constrained. Here we constrain, for the first time, the relationship between mixing rate and depth in a bioturbated soil in northeast Queensland,...[Show more]

dc.contributor.authorJohnson, Michelle
dc.contributor.authorPillans, Bradley
dc.contributor.authorMudd, Simon
dc.contributor.authorSpooner, Nigel
dc.contributor.authorFifield, L Keith
dc.contributor.authorKirkby, Mike
dc.contributor.authorGloor, Manuel
dc.date.accessioned2015-12-13T22:27:37Z
dc.identifier.issn0197-9337
dc.identifier.urihttp://hdl.handle.net/1885/74020
dc.description.abstractBoth the rate and the vertical distribution of soil disturbance modify soil properties such as porosity, particle size, chemical composition and age structure; all of which play an important role in a soil's biogeochemical functioning. Whereas rates of mixing have been previously quantified, the nature of bioturbation's depth dependence remains poorly constrained. Here we constrain, for the first time, the relationship between mixing rate and depth in a bioturbated soil in northeast Queensland, Australia using a novel method combining OSL (optically-stimulated luminescence) ages and meteoric beryllium-10 (10Be) inventories. We find that the best fit mixing rate decreases non-linearly with increasing soil depth in this soil and the characteristic length scale of 0.28m over which the mixing coefficient decays is comparable to reported rooting depth coefficients. In addition we show that estimates of surface mixing rates from OSL data are highly dependent on erosion rate and that erosion rate must be constrained if accurate mixing rates are to be quantified. We calculate surface diffusion-like mixing coefficients of 1.8×10-4 and 2.1×10-4m2yr-1 for the studied soil for two different estimates of soil erosion.
dc.publisherJohn Wiley & Sons Inc
dc.sourceEarth Surface Processes and Landforms
dc.titleQuantifying the rate and depth dependence of bioturbation based on optically-stimulated luminescence (OSL) dates and meteoric 10Be
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume39
dc.date.issued2014
local.identifier.absfor040601 - Geomorphology and Regolith and Landscape Evolution
local.identifier.absfor040607 - Surface Processes
local.identifier.ariespublicationU3488905xPUB3932
local.type.statusPublished Version
local.contributor.affiliationJohnson, Michelle, University of Leeds
local.contributor.affiliationPillans, Bradley, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationMudd, Simon, University of Edinburgh
local.contributor.affiliationSpooner, Nigel, University of Adelaide
local.contributor.affiliationFifield, L Keith, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationKirkby, Mike, University of Leeds
local.contributor.affiliationGloor, Manuel, University of Leeds
local.description.embargo2037-12-31
local.bibliographicCitation.issue9
local.bibliographicCitation.startpage1188
local.bibliographicCitation.lastpage1196
local.identifier.doi10.1002/esp.3520
local.identifier.absseo970104 - Expanding Knowledge in the Earth Sciences
local.identifier.absseo961403 - Forest and Woodlands Soils
dc.date.updated2015-12-11T08:33:15Z
local.identifier.scopusID2-s2.0-84903981222
local.identifier.thomsonID000339435600005
CollectionsANU Research Publications

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