Synergistic interactions among growing stressors increase risk to an Arctic ecosystem

Multiple co-occurring stressors may affect food webs in ways that are not predictable by studying individual stressors. Here the authors apply a network interaction model to a marine food web in the Arctic, finding that nonlinear interactions between stressors can more than double the risk of popula...

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Autores principales:	K. R. Arrigo, Gert L. van Dijken, M. A. Cameron, J. van der Grient, L. M. Wedding, L. Hazen, J. Leape, G. Leonard, A. Merkl, F. Micheli, M. M. Mills, S. Monismith, N. T. Ouellette, A. Zivian, M. Levi, R. M. Bailey
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/6a4e9e389f364235b1039ce408cd067d
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spelling	oai:doaj.org-article:6a4e9e389f364235b1039ce408cd067d2021-12-02T13:57:55ZSynergistic interactions among growing stressors increase risk to an Arctic ecosystem10.1038/s41467-020-19899-z2041-1723https://doaj.org/article/6a4e9e389f364235b1039ce408cd067d2020-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19899-zhttps://doaj.org/toc/2041-1723Multiple co-occurring stressors may affect food webs in ways that are not predictable by studying individual stressors. Here the authors apply a network interaction model to a marine food web in the Arctic, finding that nonlinear interactions between stressors can more than double the risk of population collapse compared to simpler simulations.K. R. ArrigoGert L. van DijkenM. A. CameronJ. van der GrientL. M. WeddingL. HazenJ. LeapeG. LeonardA. MerklF. MicheliM. M. MillsS. MonismithN. T. OuelletteA. ZivianM. LeviR. M. BaileyNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q K. R. Arrigo Gert L. van Dijken M. A. Cameron J. van der Grient L. M. Wedding L. Hazen J. Leape G. Leonard A. Merkl F. Micheli M. M. Mills S. Monismith N. T. Ouellette A. Zivian M. Levi R. M. Bailey Synergistic interactions among growing stressors increase risk to an Arctic ecosystem
description	Multiple co-occurring stressors may affect food webs in ways that are not predictable by studying individual stressors. Here the authors apply a network interaction model to a marine food web in the Arctic, finding that nonlinear interactions between stressors can more than double the risk of population collapse compared to simpler simulations.
format	article
author	K. R. Arrigo Gert L. van Dijken M. A. Cameron J. van der Grient L. M. Wedding L. Hazen J. Leape G. Leonard A. Merkl F. Micheli M. M. Mills S. Monismith N. T. Ouellette A. Zivian M. Levi R. M. Bailey
author_facet	K. R. Arrigo Gert L. van Dijken M. A. Cameron J. van der Grient L. M. Wedding L. Hazen J. Leape G. Leonard A. Merkl F. Micheli M. M. Mills S. Monismith N. T. Ouellette A. Zivian M. Levi R. M. Bailey
author_sort	K. R. Arrigo
title	Synergistic interactions among growing stressors increase risk to an Arctic ecosystem
title_short	Synergistic interactions among growing stressors increase risk to an Arctic ecosystem
title_full	Synergistic interactions among growing stressors increase risk to an Arctic ecosystem
title_fullStr	Synergistic interactions among growing stressors increase risk to an Arctic ecosystem
title_full_unstemmed	Synergistic interactions among growing stressors increase risk to an Arctic ecosystem
title_sort	synergistic interactions among growing stressors increase risk to an arctic ecosystem
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/6a4e9e389f364235b1039ce408cd067d
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Synergistic interactions among growing stressors increase risk to an Arctic ecosystem

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