Second order selection
To understand scale dependence in deer’s response to anthropogenic
features during second order selection, we ran resource selection
function (RSFs) models with scale optimization. We considered all of SI
available for deer and drew nine random locations anywhere on SI for
each used location. We then estimated the area of med-hi-dev within
buffers (varying from 100m-800m at 100m increments, thus applying a
multi-grain assessment (McGarigal et al. 2016)) surrounding each
used and available location. We applied logistic regression generalized
linear models (GLMs) to assess the dependence of used/available
locations on the area of med-hi-dev. We selected the model with the
minimum Akaike Information Criterion (AIC) score (Burnham & Anderson
2002) as the most predictive radii for individual deer.