Data from: A spatial theory for characterizing predator–multiprey interactions in heterogeneous landscapes

• Main Authors: Fortin, Daniel, Buono, Pietro-Luciano, Schmitz, Oswald J., Courbin, Nicolas, Losier, Chrystel, St-Laurent, Martin-Hugues, Drapeau, Pierre, Heppell, Sandra, Dussault, Claude, Brodeur, Vincent, Mainguy, Julien
• Format: Other/Unknown Material
• Language: unknown
• Published: Zenodo 2015
• Subjects: apparent competition; Caribou; Rangifer tarandus; Alces alces; Canis lupus; mortality risk
• Online Access: https://doi.org/10.5061/dryad.bf771

Trophic interactions in multiprey systems can be largely determined by prey distributions. Yet, classic predator–prey models assume spatially homogeneous interactions between predators and prey. We developed a spatially informed theory that predicts how habitat heterogeneity alters the landscape-scale distribution of mortality risk of prey from predation, and hence the nature of predator interactions in multiprey systems. The theoretical model is a spatially explicit, multiprey functional response in which species-specific advection–diffusion models account for the response of individual prey to habitat edges. The model demonstrates that distinct responses of alternative prey species can alter the consequences of conspecific aggregation, from increasing safety to increasing predation risk. Observations of threatened boreal caribou, moose and grey wolf interacting over 378 181 km2 of human-managed boreal forest support this principle. This empirically supported theory demonstrates how distinct responses of apparent competitors to landscape heterogeneity, including to human disturbances, can reverse density dependence in fitness correlates. Wolf data Data used to carry out habitat selection analysis of molves Wolf.xlsx Moose data Data used to carry out habitat selection analysis of moose Moose.xlsx mortality_Caribou Data used to analyse the probability of mortality of 145 radio-collar caribou as a function of their distance from the nearest road of cut.