A spatial theory for emergent multiple predator–prey interactions in food webs. Issue 17 (28th July 2017)

• Record Type: Journal Article
• Authors: Northfield, Tobin D.; Barton, Brandon T.; Schmitz, Oswald J.
• Is Part Of: Ecology and evolution. Volume 7:Issue 17(2017:Sep.)
• Page Start: 6935
• Page End: 6948
• Publication Date: 2017-07-28
• Subjects: Predation -- competition -- habitat domain -- biodiversity -- niche; Ecology -- Periodicals; Evolution -- Periodicals; 577.05
• DOI: 10.1002/ece3.3250
• Languages: English
• ISSNs: 2045-7758

Abstract

Abstract: Predator–prey interaction is inherently spatial because animals move through landscapes to search for and consume food resources and to avoid being consumed by other species. The spatial nature of species interactions necessitates integrating spatial processes into food web theory and evaluating how predators combine to impact their prey. Here, we present a spatial modeling approach that examines emergent multiple predator effects on prey within landscapes. The modeling is inspired by the habitat domain concept derived from empirical synthesis of spatial movement and interactions studies. Because these principles are motivated by synthesis of short‐term experiments, it remains uncertain whether spatial contingency principles hold in dynamical systems. We address this uncertainty by formulating dynamical systems models, guided by core habitat domain principles, to examine long‐term multiple predator–prey spatial dynamics. To describe habitat domains, we use classical niche concepts describing resource utilization distributions, and assume species interactions emerge from the degree of overlap between species. The analytical results generally align with those from empirical synthesis and present a theoretical framework capable of demonstrating multiple predator effects that does not depend on the small spatial or temporal scales typical of mesocosm experiments, and help bridge between empirical experiments and long‐term dynamics in natural systems. Abstract : We present a spatial modeling approach that examines emergent multiple predator effects on prey within landscapes. The analytical results generally align with those from empirical synthesis and present a theoretical framework capable of demonstrating multiple predator effects that does not depend on the small spatial or temporal scales typical of mesocosm experiments and help bridge between empirical experiments and long‐term dynamics in natural systems.