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Combining models and data to set guidelines for butterfly conservation

Banff International Research Station for Mathematical Innovation and Discovery

Conservation managers often need to set general guidelines for habitat management and species recovery. Typical metrics for planning include knowing the minimum area needed to support a population and the rate at which a population will expand through heterogeneous landscapes. I will show examples of how we have combined IDE models with demography and movement data to estimate these metrics for butterfly populations of conservation concern. I will discuss some implications of these case studies for conservation, and also their implications for making theoretical models more relevant to conservation planning.

Mathematics; Dynamical systems and ergodic theory; Difference and functional equations

video/mp4

Author affiliation: Tufts University

2017-03-22

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/60970

Unreviewed

http://creativecommons.org/licenses/by-nc-nd/4.0/