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Representational Bias in Phytoliths from Modern Soils of Central North America: Implications for Paleovegetation Reconstructions

dc.contributor.authorHyland, Ethan G.
dc.date.accessioned2013-06-14T20:43:36Z
dc.date.available2013-06-14T20:43:36Z
dc.date.issued2012-05-29
dc.identifier.urihttps://hdl.handle.net/2027.42/98093
dc.descriptionThesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Geology or Earth and Environmental Sciences, Department of Earth and Environmental Sciencesen_US
dc.description.abstractUnderstanding localized patterns and community compositions of vegetation in an environment is critical to the reconstruction of climatic and ecological conditions across all spatiotemporal scales. One of the most accurate and useful ways to characterize vegetation, and therefore to describe the climatic and ecological conditions of a location, is through the plant fossil record. Phytoliths (plant silica microfossils) are often preserved in the absence of other paleobotanical data and are becoming more widely used for deep-time vegetation reconstructions. Significant work has been done to standardize the analytical methodology of phytolith extraction, statistical analysis, and interpretation, but more detailed investigations are needed to understand how well a given phytolith assemblage represents the aboveground plant biomass for a given ecosystem. We present results from paired soil phytolith assemblages and local vegetation assemblages across the central United States, from temperate forest, grassland, and rangeland/scrubland ecosystems. Phytolith assemblages from soil A-horizons were compared to percent cover of species and plant biomass estimates obtained via field observations and aerial estimates of tree cover to analyze differences in the relative abundance of forest or woody vegetation versus grasses. Soil phytolith assemblages from all sites average a 32% bias toward the grass morphotypes as compared to actual aboveground biomass observations, and comparisons to percent cover yielded broadly comparable bias figures. Percent bias estimates do not show significant correlations to most environmental factors (temperature, precipitation, local elevation), however, an extremely strong correlation (p< 0.001) was observed with soil order type. As a result, we suggest further research into the development of correction factors between phytolith sample assemblages and their inferred past counterpart ecosystems based on estimates derived from modern analyses of each major soil order type. Such corrections are essential to the continued use of phytoliths as a proxy for past vegetation and ecological reconstructions throughout the Phanerozoic record.en_US
dc.language.isoen_USen_US
dc.titleRepresentational Bias in Phytoliths from Modern Soils of Central North America: Implications for Paleovegetation Reconstructionsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelGeological Sciences
dc.subject.hlbtoplevelScience
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumGeological Sciences, Department ofen_US
dc.contributor.affiliationumEarth and Enviromental Sciences, Department ofen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/98093/1/Hyland_Ethan_MS_2012.pdf
dc.identifier.sourcePalaeogeography, Palaeoclimatology, Palaeoecologyen_US
dc.description.mapping13en_US
dc.owningcollnameEarth and Environmental Sciences, Department of


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