Deriving space use patterns from animal interaction mechanisms Jonathan Potts, Postdoctoral Fellow, University of Alberta, May 2013.

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Presentation transcript:

Deriving space use patterns from animal interaction mechanisms Jonathan Potts, Postdoctoral Fellow, University of Alberta, May 2013

From mechanism to pattern Movement

From mechanism to pattern Direct interactions

From mechanism to pattern Mediated interactions

From mechanism to pattern Environmental interactions

From mechanism to pattern

Outline

Modelling animal movement: the “correlated random walk” framework

Outline Modelling animal movement: the “correlated random walk” framework Adding in environmental interactions: step selection functions

Outline Modelling animal movement: the “correlated random walk” framework Adding in environmental interactions: step selection functions Including animal-animal interactions: coupled step selection functions

Outline Modelling animal movement: the “correlated random walk” framework Adding in environmental interactions: step selection functions Including animal-animal interactions: coupled step selection functions Throughout: how do these models help us understand space use phenomena?

Movement: correlated random walk

Example step length distribution:

Movement: correlated random walk Example step length distribution: Example turning angle distribution:

Mathematical formulation

Adding environmental interactions A, B, C different habitats. B = worse, A = better, C = best.

The step selection function Fortin D, Beyer HL, Boyce MS, Smith DW, Duchesne T, Mao JS (2005) Wolves influence elk movements: Behavior shapes a trophic cascade in Yellowstone National Park. Ecology 86:

Example 1: Amazonian bird flocks Potts JR, Mokross K, Stouffer PC, Lewis MA (in review) Step selection techniques uncover the environmental predictors of space use patterns in flocks of Amazonian birds. Ecology

Example 1: Amazonian bird flocks Potts JR, Mokross K, Stouffer PC, Lewis MA (in review) Step selection techniques uncover the environmental predictors of space use patterns in flocks of Amazonian birds. Ecology

Example 1: Amazonian bird flocks Potts JR, Mokross K, Stouffer PC, Lewis MA (in review) Step selection techniques uncover the environmental predictors of space use patterns in flocks of Amazonian birds. Ecology

Hypotheses

Maximum likelihood technique

Deriving space use patterns: stochastic simulations Potts JR, Mokross K, Stouffer PC, Lewis MA (in review) Step selection techniques uncover the environmental predictors of space use patterns in flocks of Amazonian birds. Ecology

Deriving space use patterns: master equations and PDEs Potts JR, Bastille-Rousseau G, Murray DL, Schaefer JA, Lewis MA (in prep) Predicting local and non-local effects of resources on animal space use using a mechanistic step-selection model

Deriving space use patterns: master equations and PDEs Moorcroft and Barnett (2008) Mechanistic home range models and resource selection analysis: a reconciliation and unification. Ecology 89(4), 1112–1119 Potts JR, Bastille-Rousseau G, Murray DL, Schaefer JA, Lewis MA (in prep) Predicting local and non-local effects of resources on animal space use using a mechanistic step-selection model

Movement data Mathematical analysis Simulations Step selection functions Statistical tests, e.g. MLE Master equations, PDEs

Coupled step selection functions Potts JR, Mokross K, Stouffer PC, Lewis MA (in prep) A unifying framework for quantifying the nature of animal interactions

Amazon birds: testing hypotheses

Amazon birds: space use patterns

Acknowledgements Mark Lewis (UofA) Karl Mokross (Louisiana State) Guillaume Bastille-Rousseau (Trent) Philip Stouffer (Louisiana State) Dennis Murray (Trent) James Schaefer (Trent) Members of the Lewis Lab (UofA)

Movement and interaction data Mathematical analysis Simulations Coupled step selection functions Statistical tests The final frontier! Conclusion “The challenge is to develop a statistical mechanics for ecological systems” Simon Levin Spatial patterns

Thanks for listening!