期刊
PATTERNS
卷 1, 期 7, 页码 -出版社
CELL PRESS
DOI: 10.1016/j.patter.2020.100079
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资金
- Institute for Data Valorization (IVADO)
- NSERC CREATE Computational Biodiversity Science and Services (BIOS2) training program
- Canada Foundation for Innovation
Predicting the number of interactions among species in a food web is an important task. These trophic interactions underlie many ecological and evolutionary processes, ranging from biomass fluxes, ecosystem stability, resilience to extinction, and resistance against novel species. We investigate and compare several ways to predict the number of interactions in food webs. We conclude that a simple beta-binomialmodel outperforms other models, with the added desirable property of respecting biological constraints. We show how this simple relationship gives rise to a predicted distribution of several quantities related to link number in food webs, including the scaling of network structure with space and the probability that a network will be stable.
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