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Human disturbances affect the topology of food webs

Networks describe nodes connected by links, with numbers of links per node, the degree, forming a range of distributions including random and scale‐free. How network topologies emerge in natural systems still puzzles scientists. Based on previous theoretical simulations, we predict that scale‐free f...

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Detalles Bibliográficos
Autores principales: Mestre, Frederico, Rozenfeld, Alejandro, Araújo, Miguel B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9828725/
https://www.ncbi.nlm.nih.gov/pubmed/36167463
http://dx.doi.org/10.1111/ele.14107
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author Mestre, Frederico
Rozenfeld, Alejandro
Araújo, Miguel B.
author_facet Mestre, Frederico
Rozenfeld, Alejandro
Araújo, Miguel B.
author_sort Mestre, Frederico
collection PubMed
description Networks describe nodes connected by links, with numbers of links per node, the degree, forming a range of distributions including random and scale‐free. How network topologies emerge in natural systems still puzzles scientists. Based on previous theoretical simulations, we predict that scale‐free food webs are favourably selected by random disturbances while random food webs are selected by targeted disturbances. We assume that lower human pressures are more likely associated with random disturbances, whereas higher pressures are associated with targeted ones. We examine these predictions using 351 empirical food webs, generally confirming our predictions. Should the topology of food webs respond to changes in the magnitude of disturbances in a predictable fashion, consistently across ecosystems and scales of organisation, it would provide a baseline expectation to understand and predict the consequences of human pressures on ecosystem dynamics.
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spelling pubmed-98287252023-01-10 Human disturbances affect the topology of food webs Mestre, Frederico Rozenfeld, Alejandro Araújo, Miguel B. Ecol Lett Letters Networks describe nodes connected by links, with numbers of links per node, the degree, forming a range of distributions including random and scale‐free. How network topologies emerge in natural systems still puzzles scientists. Based on previous theoretical simulations, we predict that scale‐free food webs are favourably selected by random disturbances while random food webs are selected by targeted disturbances. We assume that lower human pressures are more likely associated with random disturbances, whereas higher pressures are associated with targeted ones. We examine these predictions using 351 empirical food webs, generally confirming our predictions. Should the topology of food webs respond to changes in the magnitude of disturbances in a predictable fashion, consistently across ecosystems and scales of organisation, it would provide a baseline expectation to understand and predict the consequences of human pressures on ecosystem dynamics. John Wiley and Sons Inc. 2022-09-27 2022-11 /pmc/articles/PMC9828725/ /pubmed/36167463 http://dx.doi.org/10.1111/ele.14107 Text en © 2022 The Authors. Ecology Letters published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Letters
Mestre, Frederico
Rozenfeld, Alejandro
Araújo, Miguel B.
Human disturbances affect the topology of food webs
title Human disturbances affect the topology of food webs
title_full Human disturbances affect the topology of food webs
title_fullStr Human disturbances affect the topology of food webs
title_full_unstemmed Human disturbances affect the topology of food webs
title_short Human disturbances affect the topology of food webs
title_sort human disturbances affect the topology of food webs
topic Letters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9828725/
https://www.ncbi.nlm.nih.gov/pubmed/36167463
http://dx.doi.org/10.1111/ele.14107
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