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dc.contributor.supervisor Manseau, Micheline (Natural Resources Institute) en_US
dc.contributor.author Galpern, Paul
dc.date.accessioned 2012-09-28T22:07:36Z
dc.date.available 2012-09-28T22:07:36Z
dc.date.issued 2011-01 en_US
dc.date.issued 2012-08 en_US
dc.identifier.citation Galpern, P., M. Manseau, and A. Fall. (2011). Patch-based graphs of landscape connectivity: a guide to construction, analysis and application for conservation. Biological Conservation 144:44-55 en_US
dc.identifier.citation Galpern, P., M. Manseau, P.J. Wilson. (2012). Grains of connectivity: analysis at multiple spatial scales in landscape genetics. Molecular Ecology. 21: 3996–4009. en_US
dc.identifier.uri http://hdl.handle.net/1993/9224
dc.description.abstract Assessments of landscape connectivity are increasingly required in natural resource management. Understanding how landscape structure affects the movement and dispersal of animals may be essential for ensuring the long-term persistence of species of conservation concern. Functional connectivity models describing how features on the landscape influence animal movement behaviour have been produced in two different ways. The resistance surface models landscape connectivity as its inverse, the resistance to movement and dispersal, while the landscape graph represents landscape connectivity by describing the relationships among resource patches. Both methods have limitations that make them less effective for modelling highly-mobile and wide-ranging species such as ungulates and carnivores. This thesis develops a method called grains of connectivity that combines the continuous representation of landscape connectivity provided by resistance surfaces and the scalability provided by landscape graphs to create a flexible modelling framework for these species. The first half of the thesis reviews the conceptual origins of the grains of connectivity method and examines its properties using simulated landscapes. In the second half, empirical evidence of movement and dispersal in a boreal woodland caribou (Rangifer tarandus caribou) population is used to validate functional connectivity hypotheses generated using the method. Connectivity for caribou at the temporal scale of generations is examined using a landscape genetics approach, while connectivity at the seasonal scale is assessed using the distribution of caribou telemetry locations. Grains of connectivity may be most useful for study systems where animals are not found exclusively in well-defined resource patches and there is uncertainty in the behavioural parameters influencing movement and dispersal. Additionally, the scalability of the analysis can be used to selectively remove spatial heterogeneity that may be uncorrelated with movement and dispersal giving an improved description of the pattern affecting the landscape connectivity process. en_US
dc.publisher Elsevier en_US
dc.publisher Wiley-Blackwell en_US
dc.subject landscape ecology en_US
dc.subject natural resource management en_US
dc.subject landscape connectivity en_US
dc.subject landscape genetics en_US
dc.title Modelling landscape connectivity for highly-mobile terrestrial animals: a continuous and scalable approach en_US
dc.degree.discipline Natural Resources Management en_US
dc.contributor.examiningcommittee Wilson, Paul (Natural Resources Institute) Piercey-Normore, Michele (Biological Sciences) Fortin, Daniel (Université Laval) en_US
dc.degree.level Doctor of Philosophy (Ph.D.) en_US
dc.description.note February 2013 en_US


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