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Revisiting the Links-Species Scaling Relationship in Food Webs.
MacDonald, Arthur Andrew Meahan; Banville, Francis; Poisot, Timothée.
Afiliação
  • MacDonald AAM; Département de sciences biologiques, Université de Montréal, Montreal, QC H2V 0B3, Canada.
  • Banville F; Quebec Centre for Biodiversity Science, Montreal, QC H3A 1B1, Canada.
  • Poisot T; Département de sciences biologiques, Université de Montréal, Montreal, QC H2V 0B3, Canada.
Patterns (N Y) ; 1(7): 100079, 2020 Oct 09.
Article em En | MEDLINE | ID: mdl-33205136
ABSTRACT
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-binomial model 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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Patterns (N Y) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Patterns (N Y) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Canadá