Stable diverse food webs become more common when interactions are more biologically constrained.

ABSTRACT: Ecologists have long sought to understand how diversity and structure mediate the stability of whole ecosystems. For high-diversity food webs, the interactions between species are typically represented using matrices with randomly chosen interaction strengths. Unfortunately, this procedure tends to produce ecological systems with no underlying equilibrium solution, and so ecological inferences from this approach may be biased by nonbiological outcomes. Using recent computationally efficient methodological advances from metabolic networks, we employ for the first time an inverse approach to diversity-stability research. We compare classical random interaction matrices of realistic food web topology (hereafter the classical model) to feasible, biologically constrained, webs produced using th

SUBMITTER: Gellner G 

PROVIDER: S-EPMC10400988 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature