title: A landscape theory for food web architecture.
abstract: Ecologists have long searched for structures and processes that impart stability in nature. In particular, food web ecology has held promise in tackling this issue. Empirical patterns in food webs have consistently shown that the distributions of species and interactions in nature are more likely to be stable than randomly constructed systems with the same number of species and interactions. Food web ecology still faces two fundamental challenges, however. First, the quantity and quality of food web data required to document both the species richness and the interaction strengths among all species within food webs is largely prohibitive. Second, where food webs have been well documented, spatial and temporal variation in food web structure has been ignored. Conversely, research that has addressed spatial and temporal variation in ecosystems has generally ignored the full complexity of food web architecture. Here, we incorporate empirical patterns, largely from macroecology and behavioural ecology, into a spatially implicit food web structure to construct a simple landscape theory of food web architecture. Such an approach both captures important architectural features of food webs and allows for an exploration of food web structure across a range of spatial scales. Finally, we demonstrated that food webs are hierarchically organized along the spatial and temporal niche axes of species and their utilization of food resources in ways that stabilize ecosystems.
authors.affiliation: Department of Integrative Biology, University of Guelph, Guelph, ON, Canada N1G 2W1. nrooney@uoguelph.ca
authors.forename: Neil
authors.initials: N
authors.lastname: Rooney
authors.forename: Kevin S
authors.initials: KS
authors.lastname: McCann
authors.forename: John C
authors.initials: JC
authors.lastname: Moore
mesh_terms: D049628:Body Size; D004734:Energy Metabolism; D020387:Food Chain; D008954:Models, Biological; D011157:Population Dynamics