COS 121
Modeling: Populations I

Thursday, August 14, 2014: 1:30 PM-5:00 PM
314, Sacramento Convention Center
1:30 PM
 Catching dogs with turtles: Using agent based modeling to optimize street dog control
Andrew James Yoak, The Ohio State University; Ian M. Hamilton, The Ohio State University
1:50 PM
 Genetic diversity in introduced populations with Allee effect
Meike J. Wittmann, Stanford University; Wilfried Gabriel, Ludwig-Maximilians-Universität München; Dirk Metzler, Ludwig-Maximilians-Universität München
2:10 PM
 Spatial and temporal variation in vital rates of an endangered fish in a desert stream
Maria C. Dzul, U.S. Geological Survey; Charles B. Yackulic, US Geological Survey; Dennis M. Stone, U.S. Fish and Wildlife Service
2:30 PM
 Successful mating of spatially-explicit demography and genetics in a new simulation modeling framework: Individual-based, spatial eco-evolutionary models at last
Jennifer Day, University of Washington; Allen Brookes, US Environmental Protection Agency; Nathan Schumaker, U.S. EPA
2:50 PM
 Best practices for incorporating noise into stochastic differential equation population models
Ben C. Nolting, Case Western Reserve University; Karen C. Abbott, Case Western Reserve University
3:10 PM
3:20 PM
 Improving regional abundance dynamics and range-shift forecasts by coupling individual-based dispersal models with matrix-based population projections
Kevin T. Shoemaker, Stony Brook University; Damien A. Fordham, University of Adelaide; Nathan H. Schumaker, US EPA; H. Resit Akçakaya, Stony Brook University
3:40 PM
 Spatial and temporal variation of density dependence, environmental effects, and spatial autocorrelation in waterfowl population dynamics
Qing Zhao, Colorado State University; Scott Boomer, U.S. Fish and Wildlife Service; Emily Silverman, U.S. Fish and Wildlife Service; Kathy Fleming, U.S. Fish and Wildlife Service
4:00 PM
 Using climate-driven population models to assess species risk under climate change scenarios
Ian A. Pfingsten, Institute for Applied Ecology; Thomas N. Kaye, Institute for Applied Ecology
4:20 PM
 A spatially implicit model of associational effects: Neighborhood structure affects resource competition
Brian D. Inouye, Rocky Mountain Biological Laboratory; Nora Underwood, Florida State University
4:40 PM
 Forecasting climate change impacts on plant population dynamics at large spatial extents: A test case with sagebrush (Artemisia) species
Andrew Tredennick, Colorado State University; Peter B. Adler, Utah State University; Andrew O. Finley, Michigan State University; Cameron L. Aldridge, U.S. Geological Survey; Collin G. Homer, United States Geological Survey Earth Resources Observation and Science; David T. Iles, Tufts University; Andrew R. Kleinhesselink, Utah State University; Eric M. LaMalfa, Utah State University; Rebecca Mann, Utah State University
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