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The Spatial Statistics of Linear Features: An Application to Ecology Open Access

Descriptions

Other title
Subject/Keyword
linear data
stochastic geometry
clonal plants
fibre processes
Wild Strawberry
spatial statistics
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Tucker, Brian C.
Supervisor and department
Dale, Mark (Provost, University of Northern British Columbia), Cahill, James (Department of Biological Sciences)
Examining committee member and department
Dale, Mark (Provost, University of Northern British Columbia)
Cahill, James (Department of Biological Sciences)
Blenis, Peter (Department of Renewable Resources)
Neilson, Scott (Department of Renewable Resources)
Department
Department of Biological Sciences
Specialization
Ecology
Date accepted
2011-12-21T12:47:36Z
Graduation date
2012-06
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
Spatial ecology is concerned with examining the spatial aspects of ecological systems, and it involves the integration of the spatial attributes of the study system into hypotheses, experimental design and analyses. Despite the work that has been undertaken and the diversity of analyses available to ecologists for examining spatial data, one area of analysis has seen little development in ecology: the examination of linear spatial structure in ecological systems. Although linear spatial structure can be found throughout ecological systems (e.g., animal movement paths, burrows, plant roots and shoots), the vegetative spread of clonal plants through stolons and rhizomes is of particular interest because of the important relationships between pattern (clonal spread) and process (physiological integration, foraging, dispersal, fitness, asexual reproduction). Fortunately there do exist tools that allow for the analysis of such data. Stochastic geometry and, more specifically, the theory of “fibre processes” and related theory provide methods capable of dealing rigorously with spatial structures composed of linear components. However, their application in ecology awaits. This thesis introduces methods of analysis applicable to plant ecology presented along with examples.
Language
English
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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