Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/121353
Type: Thesis
Title: Linear regression analysis of Australian lacustrine sediments using geochemical and remote sensing techniques
Author: Tsimosh, O.
Issue Date: 2016
School/Discipline: School of Physical Sciences
Abstract: Our understanding of carbon cycling is based on a short time period of satellite or instrumental monitoring, which are limited with respect to understanding long term patterns in terrestrial carbon cycle. Our understanding of past changes in terrestrial biomass has been primarily derived from pollen and plant macrofossils preserved within sediments. Geochemical tracers offer a different perspective on past land cover and provide important constraints on source and deposition of sedimentary organic matter in the catchment area for the purpose of regional palaeoenvironmental reconstruction. We combine stable isotope analysis, source rock pyrolysis and remote sensing techniques to see whether we can observe a shift in geochemical signatures of lake sediments in response to changes in vegetation density and catchment hydrology. We hypothesize that we should see an increase in terrestrial organic carbon concentrations in catchments with higher vegetation density. Simultaneously increased rates of precipitation have been associated with increase in vegetation abundance and therefore hydrological shifts should also be reflected in geochemical signatures of sediments. Our results confirm that there is a positive correlation between vegetation density and terrestrial organic carbon concentrations, with sediments from heavily vegetated catchments showing high concentrations of terrestrially derived organic matter. On the other hand, shifts in precipitation appear to only effect geochemical signatures of sediments from semi-arid regions with low vegetation densities.
Dissertation Note: Thesis (B.Sc.(Hons)) -- University of Adelaide, School of Physical Sciences, 2016
Where: Murray-Darling Basin, Australia
Keywords: Honours; Geology; lacustrine; organic carbon flux; sediments; semi-arid; Murray Darling Basin; stable isotope; remote sensing; regression analysis
Description: This item is only available electronically.
Provenance: This electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exceptions. If you are the author of this thesis and do not wish it to be made publicly available, or you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legals
Appears in Collections:School of Physical Sciences

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