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Modelling Non-Euclideanmovement And Landscape Connectivity In Highly Structured Ecological Networks, Chris Sutherland, Angela Fuller, J. Royle
Modelling Non-Euclideanmovement And Landscape Connectivity In Highly Structured Ecological Networks, Chris Sutherland, Angela Fuller, J. Royle
Chris Sutherland
1. Movement is influenced by landscape structure, configuration and geometry, but measuring distance as perceived by animals poses technical and logistical challenges. Instead, movement is typically measured using Euclidean distance, irrespective of location or landscape structure, or is based on arbitrary cost surfaces. A
recently proposed extension of spatial capture-recapture (SCR)models resolves this issue using spatial encounter
histories of individuals to calculate least-cost paths (ecological distance: Ecology, 94, 2013, 287) thereby relaxing
the Euclidean assumption. We evaluate the consequences of not accounting for movement heterogeneity when
estimating abundance in highly structured landscapes, and demonstrate the value of this approach for …