Multi-taxa population connectivity in the Northern Rocky Mountains

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Evaluating population connectivity for species of conservation concern in the American Great Plains (2013, unknown): “…kernel and factorial least-cost path approaches to predict spatially synoptic patterns of connectivity and identify all-directional dispersal (e.g. Compton et al. 2007; Cushman et al. 2010a, Cushman and Landguth 2012b), providing a more complete picture of connectivity across continuous space.”
Are all data types and connectivity models created equal? Validating common connectivity approaches with dispersal data (2018, background): “…many advantages over CD algorithms: resistant kernels are not constrained by source–destination points, they do not assume individuals have complete knowledge of the landscape, and the flow can be limited by biologically based dispersal distances (Cushman & Landguth, 2012; Cushman et al., 2013).”