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Revisiting the Links-Species Scaling Relationship in Food Webs

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...

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Detalles Bibliográficos
Autores principales: MacDonald, Arthur Andrew Meahan, Banville, Francis, Poisot, Timothée
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660400/
https://www.ncbi.nlm.nih.gov/pubmed/33205136
http://dx.doi.org/10.1016/j.patter.2020.100079
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author MacDonald, Arthur Andrew Meahan
Banville, Francis
Poisot, Timothée
author_facet MacDonald, Arthur Andrew Meahan
Banville, Francis
Poisot, Timothée
author_sort MacDonald, Arthur Andrew Meahan
collection PubMed
description 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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spelling pubmed-76604002020-11-16 Revisiting the Links-Species Scaling Relationship in Food Webs MacDonald, Arthur Andrew Meahan Banville, Francis Poisot, Timothée Patterns (N Y) Article 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. Elsevier 2020-07-29 /pmc/articles/PMC7660400/ /pubmed/33205136 http://dx.doi.org/10.1016/j.patter.2020.100079 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
MacDonald, Arthur Andrew Meahan
Banville, Francis
Poisot, Timothée
Revisiting the Links-Species Scaling Relationship in Food Webs
title Revisiting the Links-Species Scaling Relationship in Food Webs
title_full Revisiting the Links-Species Scaling Relationship in Food Webs
title_fullStr Revisiting the Links-Species Scaling Relationship in Food Webs
title_full_unstemmed Revisiting the Links-Species Scaling Relationship in Food Webs
title_short Revisiting the Links-Species Scaling Relationship in Food Webs
title_sort revisiting the links-species scaling relationship in food webs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660400/
https://www.ncbi.nlm.nih.gov/pubmed/33205136
http://dx.doi.org/10.1016/j.patter.2020.100079
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