Program
MSD2 | Friedman 153; 10:30 am - 12:30 pm, July 28 |
---|---|
Title | Modeling of forest insect population dynamics - Part II |
Organizers | Mario Pineda-Krch |
Centre for Mathematical Biology, University of Alberta | |
James Powell | |
Department of Mathematics and Statistics, Utah State University | |
Mark Lewis | |
Centre for Mathematical Biology, University of Alberta | |
Abstract | North America is experiencing an onslaught of outbreaks by destructive forest pest species, e.g. the current mountain pine beetle epidemic in British Columbia is the largest bark beetle outbreak in recorded history affecting more than 15 million hectares of pine forests. To develop more effective strategies for forecasting and mitigating outbreaks it is critical to develop a clearer understanding of the invasion process and the underlying processes that generate outbreaks and drive the population dynamics of these species. This Special Interdisciplinary Minisymposium brings together researchers working on the population dynamics of forest insects using experimental and theoretical approaches. The symposium will showcase a diverse set of cutting-edge mathematical, computational, and statistical approaches as well as present empirically and quantitative based case studies. |
Speaker 1 | Jens Roland |
Department of Biological Science, University of Alberta | |
Periodicity and spread in cyclic dynamics of forest tent caterpillar populations | |
Speaker 2 | Mario Pineda-Krch |
Centre for Mathematical Biology, University of Alberta | |
Prediction of mountain pine beetle outbreaks using Markov process logistic regression | |
Speaker 3 | James Powell |
Department of Mathematics and Statistics, Utah State University | |
Connecting tree-level phenology and lanscape-level outbreak dynamics for mountain pine beetle | |
Speaker 4 | Nicholas Friedenberg |
Applied Biomathematics | |
Some ideas about climate and the future of forest insect pests |
Link to Part I - MSC2
-- Minisymposium talks are scheduled for 30 min each, including time for questions.