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Skip to Search Results- 7Animal movement
- 3Generalized linear mixed model
- 2Conditional autoregressive
- 2Geographic epidemiology
- 2Mathematical ecology
- 2Mechanistic models
- 3Mark A. Lewis
- 2Beyer, H. L.
- 2Jonathan R. Potts
- 2Rosychuk, Rhonda J.
- 2Torabi, Mahmoud
- 1Anderson, D. P.
- 7Biological Sciences, Department of
- 7Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 1Temporary Community
- 1Temporary Community/Temporary Collection
- 1Mathematical and Statistical Sciences, Department of
- 1Mathematical and Statistical Sciences, Department of/Research Publications (Mathematical and Statistical Sciences)
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Detecting minimum energy states and multi-stability in nonlocal advection–diffusion models for interacting species
Download2022-06-13
Valeria Giunta, Thomas Hillen, Mark A. Lewis, Jonathan R. Potts
Deriving emergent patterns from models of biological processes is a core concern of mathematical biology. In the context of partial differential equations, these emergent patterns sometimes appear as local minimisers of a corresponding energy functional. Here we give methods for determining the...
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2011
St. Clair, C. C., Beyer, H. L., Gillies, C. S.
The persistence of forest-dependent species in fragmented landscapes is fundamentally linked to the movement of individuals among subpopulations. The paths taken by dispersing individuals can be considered a series of steps built from individual route choices. Despite the importance of these...
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1999
Crabtree, R., Lewis, M. A., Moorcroft, P. R.
The traditional models used to characterize animal home ranges have no mechanistic basis underlying their descriptions of space use, and as a result, the analysis of animal home ranges has primarily been a descriptive endeavor. In this paper, we characterize coyote (Canis latrans) home range...
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Predicting local and nonlocal effects of resources on animal space use using a mechanistic step-selection function.
Download2013
Schaefer, J., Bastille-Rousseau, G., Murray, D., Lewis, M.A., Potts, J.R.
Predicting space use patterns of animals from their interactions with the environment is fundamental for understanding the effect of habitat changes on ecosystem functioning. Recent attempts to address this problem have sought to unify resource selection analysis, where animal space use is...
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2010
Rosychuk, Rhonda J., Torabi, Mahmoud
This paper studies generalized linear mixed models (GLMMs) for the analysis of geographic and temporal variability of disease rates. This class of models adopts spatially correlated random effects and random temporal components. Spatio-temporal models that use conditional autoregressive smoothing...
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Spatio-temporal modelling using B-spline for disease mapping: analysis of childhood cancer trends
Download2011
Torabi, Mahmoud, Rosychuk, Rhonda J.
To analyze childhood cancer diagnoses in the province of Alberta, Canada during 1983-2004, we construct a generalized linear mixed model for the analysis of geographic and temporal variability of cancer rates. In this model, spatially correlated random e®ects and temporal components are adopted....
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State-space models link elk movement patterns to landscape characteristics in Yellowstone National Park
Download2007
Smith, D. W., Anderson, D. P., Ives, A. R., Turner, M. G., Beyer, H. L., Boyce, M. S., Forester, J. D., Fortin, D.
Explaining and predicting animal movement in heterogeneous landscapes remains challenging. This is in part because movement paths often include a series of short, localized displacements separated by longer-distance forays. This multiphasic movement behavior reflects the complex response of an...
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2015-01-01
Jonathan R. Potts, Mark A. Lewis
Territoriality is a phenomenon exhibited throughout nature. On the individual level, it is the processes by which organisms exclude others of the same species from certain parts of space. On the population level, it is the segregation of space into separate areas, each used by subsections of the...
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2022-01-01
Peter R. Thompson, Mark A. Lewis, Mark A. Edwards, Andrew E. Derocher
Background Animal movement modelling provides unique insight about how animals perceive their landscape and how this perception may influence space use. When coupled with data describing an animal’s environment, ecologists can fit statistical models to location data to describe how spatial memory...