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Skip to Search Results- 77Mathematical and Statistical Sciences, Department of
- 77Mathematical and Statistical Sciences, Department of/Research Publications (Mathematical and Statistical Sciences)
- 62Biological Sciences, Department of
- 62Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 3The NSERC TRIA Network (TRIA-Net)
- 3The NSERC TRIA Network (TRIA-Net)/Journal Articles (TRIA-Net)
- 44Lewis, Mark A.
- 14Mark A. Lewis
- 13Kouritzin, Michael
- 6Krkošek, Martin
- 4Derocher, Andrew E.
- 4Jonathan R. Potts
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2011-01-01
Fagan, W. F., Jin, Y., Bishop, J. G., Marleau, J. M., Lewis, Mark A.
The relative importance of plant facilitation and competition during primary succession depends on the development of ecosystem nutrient pools, yet the interaction of these processes remains poorly understood. To explore how these mechanisms interact to drive successional dynamics, we devised a...
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2019-02-01
Mélodie Kunegel-Lion, Rory L. McIntosh, Mark A. Lewis
Insect epidemics such as the mountain pine beetle (MPB) outbreak have a major impact on forest dynamics. In Cypress Hills, Canada, the Forest Service Branch of the Saskatchewan Ministry of Environment aims to control as many new infested trees as possible by conducting ground-based surveys around...
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2019-01-01
Fazly, Mostafa, Lewis, Mark A, Wang, Hao
We study a hybrid impulsive reaction-advection-diffusion model given by a reaction-advection-diffusion equation composed with a discrete-time map in space dimension $n\in\mathbb N$. The reaction-advection-diffusion equation takes the form \begin{equation}\label{} u^{(m)}_t = \text{div}(A\nabla...
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2016-01-01
Jonathan R. Potts, Mark A. Lewis
Mechanistic home range analysis (MHRA) is a highly effective tool for understanding spacing patterns of animal populations. It has hitherto focused on populations where animals defend their territories by communicating indirectly, e.g. via scent marks. However, many animal populations defend...
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2006-01-01
McCauley, E., Lewis, Mark A., Lutscher, F.
The question how aquatic populations persist in rivers when individuals are constantly lost due to downstream drift has been termed the “drift paradox.” Recent modeling approaches have revealed diffusion-mediated persistence as a solution. We study logistically growing populations with and...
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2001-01-01
Clark, James S., Lewis, Mark A., Horvath, Lajos
For populations having dispersal described by fat‐tailed kernels (kernels with tails that are not exponentially bounded), asymptotic population spread rates cannot be estimated by traditional models because these models predict continually accelerating (asymptotically infinite) invasion. The...
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2005-01-01
Pachepsky, E., Lewis, Mark A., Lutscher, F.
Individuals in streams are constantly subject to predominantly unidirectional flow. The question of how these populations can persist in upper stream reaches is known as the “drift paradox.” We employ a general mechanistic movement-model framework and derive dispersal kernels for this situation....
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2016-01-01
Peacock, Stephanie J., Krkošek, Martin, Lewis, Mark A., Lele, Subhash
The statistical tools available to ecologists are becoming increasingly sophisticated, allowing more complex, mechanistic models to be fit to ecological data. Such models have the potential to provide new insights into the processes underlying ecological patterns, but the inferences made are...
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2011-01-01
Molnár, Péter K., Derocher, Andrew E., Klanjscek, Tin, Lewis, Mark A.
Predicting the ecological impacts of climate warming is critical for species conservation. Incorporating future warming into population models, however, is challenging because reproduction and survival cannot be measured for yet unobserved environmental conditions. In this study, we use...