This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Search
Skip to Search Results- 166Mathematical and Statistical Sciences, Department of
- 166Mathematical and Statistical Sciences, Department of/Research Publications (Mathematical and Statistical Sciences)
- 109Biological Sciences, Department of
- 109Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 12The NSERC TRIA Network (TRIA-Net)
- 12The NSERC TRIA Network (TRIA-Net)/Journal Articles (TRIA-Net)
- 55Mark A. Lewis
- 51Lewis, Mark A.
- 31Kouritzin, Michael
- 17Wang, Hao
- 7Jonathan R. Potts
- 6Krkošek, Martin
-
2019-06-04
Jonathan R. Potts, Mark A. Lewis
Mathematical models of spatial population dynamics typically focus on the interplay between dispersal events and birth/death processes. However, for many animal communities, significant arrangement in space can occur on shorter timescales, where births and deaths are negligible. This phenomenon...
-
2013-01-01
William F. Fagan, Mark A. Lewis, Marie Auger-Meth, Tal Avgar, Simon Benhamou, Greg Breed, Lara LaDage, Ulrike E. Schl€agel, Wen-wu Tang, Yannis P. Papastamatiou, James Forester, Thomas Mueller
Memory is critical to understanding animal movement but has proven challenging to study. Advances in animal tracking technology, theoretical movement models and cognitive sciences have facilitated research in each of these fields, but also created a need for synthetic examination of the linkages...
-
Second-generation stoichiometric mathematical model to predict methane emissions from oil sands tailings
Download2019-07-31
Jude D. Kong, Hao Wang, Tariq Siddique, Julia Foght, Kathleen Semple, Zvonko Burkus, Mark A. Lewis
Microbial metabolism of fugitive hydrocarbons produces greenhouse gas (GHG) emissions from oil sands tailings ponds (OSTP) and end pit lakes (EPL) that retain fluid tailings from surface mining of oil sands ores. Predicting GHG production, particularly methane (CH4), would help oil sands...
-
2014-01-01
Yu Jin, Frank M. Hilker, Peter M. Stefer, Mark A. Lewis
A key problem in environmental flow assessment is the explicit linking of the flow regime with ecological dynamics. We present a hybrid modeling approach to couple hydrodynamic and biological processes, focusing on the combined impact of spatial heterogeneity and temporal variability on...
-
2011-01-01
The critical domain size problem determines the size of the region of habitat needed to ensure population persistence. In this paper we address the critical domain size problem for seasonally fluctuating stream environments and determine how large a reach of suitable stream habitat is needed to...
-
Robustness of movement models can models bridge the gap between temporal scales of data sets and behavioural processes
Download2015-01-01
Ulrike E. Schla¨gel, Mark A. Lewis
Discrete-time random walks and their extensions are common tools for analyzing animal movement data. In these analyses, resolution of temporal discretization is a critical feature. Ideally, a model both mirrors the relevant temporal scale of the biological process of interest and matches the data...
-
2007-01-01
Nisbet, Roger, Anderson, Kurt E., McCauley, Edward, Lewis, Mark A.
Much ecological research involves identifying connections between abiotic forcing and population densities or distributions. We present theory that describes this relationship for populations in media with strong unidirectional flow (e.g., aquatic organisms in streams and rivers). Typically,...
-
2015-04-20
A large class of discrete-time branching particle filters with Bayesian model selection ca-pabilities and effective resampling is introduced in algorithmic form, shown empirically to outperform the popular bootstrap algorithm and analyzed mathematically. The particles interact weakly in the...