Random forest modelling of multi-scale, multi-species habitat associations within KAZA transfrontier conservation area using spoor data

Charlotte E. Searle, Zaneta Kaszta, Dominik T. Bauer, M. Kristina Kesch, Jane E. Hunt, Roseline Mandisodza-Chikerema, Michael V. Flyman, David W. Macdonald, Amy J. Dickman, Andrew J. Loveridge & Samuel A. Cushman
As landscape-scale conservation models grow in prominence, assessments of how wildlife utilise multiple-use landscapes are required to inform effective conservation and management planning. Such efforts should strive to incorporate multi-species perspectives to maximise value for conservation, and should account for scale to accurately capture species-environment relationships. We show that the random forest machine learning algorithm can be used to model large-scale sign-based data in a multi-scale framework. We used this method to investigate scale-dependent habitat...
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