Combining resource selection and movement behavior to predict corridors for Canada lynx at their southern range periphery

By J. Squires, N. DeCesare, L. Olson, Jay A. Kolbe, Mark Hebblewhite, S. Parks. 2013

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Estimating effective landscape distances and movement corridors: Comparison of habitat and genetic data (2015, unknown): “For example, recent research in telemetry data analysis provides methods that help to distinguish habitat use from dispersal locations (e.g., Dickson et al. 2005, Squires et al. 2013, Zeller et al. 2014).”
Movement patterns of three arboreal primates in a Neotropical moist forest explained by LiDAR-estimated canopy structure (2016, background): “high temporal resolution) as in our case, SSFs provide a means of parsing out individual movement decisions relative to random locations in the environment (Milton 1981; Boyce et al. 2002; Asensio et al. 2011; Zeller et al. 2012; Squires et al. 2013).”
Estimating utilization distributions from fitted step-selection functions (2017, background): “…fitted SSFs, yet it is also common to produce SSF-based maps, by multiplying resources by their corresponding selection coefficients (hereafter referred to as the na€ıve approach; Squires et al. 2013, McLean et al. 2016), an approach that originates from traditional resource-selection analysis.”