Predicting local and non-local effects of resources on animal space use using a mechanistic step-selection model Jonathan Potts, Guillaume Bastille-Rousseau,

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Presentation transcript:

Predicting local and non-local effects of resources on animal space use using a mechanistic step-selection model Jonathan Potts, Guillaume Bastille-Rousseau, Dennis Murray, James A. Schaefer, Mark Lewis. ESA2013, Minneapolis, 5 August 2013.

From process to pattern

Leave this out for today!

Classical resource selection analysis

Accounting for movement: the story so far Moorcroft and Barnett (2008) Ecology, 89(4), 1112–1119

Idea: Use the resource selection function for the movement kernel Accounting for movement: the story so far

Classical resource selection analysis

Accounting for movement: the story so far

Problem: no effect of patch size and isolation Red = better resources Blue = worse resources

Our model: weight based on start and end of step Potts JR, Bastille-Rousseau G, Murray DL, Schaefer JA, Lewis MA. Predicting local and non-local effects of resources on animal space use using a mechanistic step- selection model. Methods in Ecology and Evolution (in review)

Our model: weight based on start and end of step Step length and turning angle distributions Potts JR, Bastille-Rousseau G, Murray DL, Schaefer JA, Lewis MA. Predicting local and non-local effects of resources on animal space use using a mechanistic step- selection model. Methods in Ecology and Evolution (in review)

Our model: weight based on start and end of step Step length and turning angle distributions Relative quality of resources at x compared to those at y Potts JR, Bastille-Rousseau G, Murray DL, Schaefer JA, Lewis MA. Predicting local and non-local effects of resources on animal space use using a mechanistic step- selection model. Methods in Ecology and Evolution (in review)

Our model: weight based on start and end of step Step length and turning angle distributions Relative quality of resources at x compared to those at y Potts JR, Bastille-Rousseau G, Murray DL, Schaefer JA, Lewis MA. Predicting local and non-local effects of resources on animal space use using a mechanistic step- selection model. Methods in Ecology and Evolution (in review)

Our model: weight based on start and end of step Step length and turning angle distributions Relative quality of resources at x compared to those at y

Parameterise the model using Caribou data from Newfoundland

Weighting function W[H(x),H(y)] According to this: Wetland > Barren > Coniferous open > Coniferous dense > Other

Results: space use in artificial landscape a)Resources: Red = Wetland; Blue = Coniferous dense b)Animal space use distribution, assuming step lengths and turning angle distributions are the same for both habitats

Results: patch size and isolation

Acknowledgements Mark Lewis (University of Alberta) Guillaume Bastille-Rousseau (Trent University) Dennis Murray (Trent) James Schaefer (Trent) Members of the Lewis Lab (Alberta)

Conclusions Our simple change to the step selection function causes dramatic changes in the space use distribution Predicts aspects of space use that standard resource selection methods do not