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Skip to Search Results- 47Lewis, Mark A.
- 6Krkošek, Martin
- 5Peacock, Stephanie J.
- 4Derocher, Andrew E.
- 4Lutscher, F.
- 3Bateman, Andrew W.
- 47Biological Sciences, Department of
- 46Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 45Mathematical and Statistical Sciences, Department of
- 45Mathematical and Statistical Sciences, Department of/Research Publications (Mathematical and Statistical Sciences)
- 2The NSERC TRIA Network (TRIA-Net)
- 2The NSERC TRIA Network (TRIA-Net)/Journal Articles (TRIA-Net)
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2009-01-01
Bampfylde, Caroline J., Jerde, Christopher L., Lewis, Mark A.
We formalize the establishment process for a sexual, semelparous organism through the use of hierarchical probability modeling from parameters of survival, probability of being female, probability of being fertilized, and expected fecundity.We show how to calculate the expected per capita growth...
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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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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...
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2013-01-01
Krkosek, Martin, Orr, Craig, Peacock, Stephanie J., Proboszcz, Stan, Lewis, Mark A.
The resilience of coastal social-ecological systems may depend on adaptive responses to aquaculture disease outbreaks that can threaten wild and farm fish. A nine-year study of parasitic sea lice (Lepeophtheirus salmonis) and pink salmon (Oncorhynchus gorbuscha) from Pacific Canada indicates that...
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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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2013-01-01
Merrill, E., Lewis, Mark A., Pybus, M., Potapov, A., Coltman, D.
We develop a model for the spread of chronic wasting disease (CWD) in a mule deer (Odocoileus hemionus) population to assess possible mechanisms of disease transmission and parameterize it for the mule deer population in Alberta, Canada. We consider seven mechanisms of disease transmission...
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2014-01-01
Peacock, Stephanie J., Connors, Brendan M., Krkošek, Martin, Irvine, James R., Lewis, Mark A.
The impact of parasites on hosts is invariably negative when considered in isolation, but may be complex and unexpected in nature. For example, if parasites make hosts less desirable to predators then gains from reduced predation may offset direct costs of being parasitized. We explore these...
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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....