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Synergistic interactions among growing stressors increase risk to an Arctic ecosystem
Oceans provide critical ecosystem services, but are subject to a growing number of external pressures, including overfishing, pollution, habitat destruction, and climate change. Current models typically treat stressors on species and ecosystems independently, though in reality, stressors often inter...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721797/ https://www.ncbi.nlm.nih.gov/pubmed/33288746 http://dx.doi.org/10.1038/s41467-020-19899-z |
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author | Arrigo, K. R. van Dijken, Gert L. Cameron, M. A. van der Grient, J. Wedding, L. M. Hazen, L. Leape, J. Leonard, G. Merkl, A. Micheli, F. Mills, M. M. Monismith, S. Ouellette, N. T. Zivian, A. Levi, M. Bailey, R. M. |
author_facet | Arrigo, K. R. van Dijken, Gert L. Cameron, M. A. van der Grient, J. Wedding, L. M. Hazen, L. Leape, J. Leonard, G. Merkl, A. Micheli, F. Mills, M. M. Monismith, S. Ouellette, N. T. Zivian, A. Levi, M. Bailey, R. M. |
author_sort | Arrigo, K. R. |
collection | PubMed |
description | Oceans provide critical ecosystem services, but are subject to a growing number of external pressures, including overfishing, pollution, habitat destruction, and climate change. Current models typically treat stressors on species and ecosystems independently, though in reality, stressors often interact in ways that are not well understood. Here, we use a network interaction model (OSIRIS) to explicitly study stressor interactions in the Chukchi Sea (Arctic Ocean) due to its extensive climate-driven loss of sea ice and accelerated growth of other stressors, including shipping and oil exploration. The model includes numerous trophic levels ranging from phytoplankton to polar bears. We find that climate-related stressors have a larger impact on animal populations than do acute stressors like increased shipping and subsistence harvesting. In particular, organisms with a strong temperature-growth rate relationship show the greatest changes in biomass as interaction strength increased, but also exhibit the greatest variability. Neglecting interactions between stressors vastly underestimates the risk of population crashes. Our results indicate that models must account for stressor interactions to enable responsible management and decision-making. |
format | Online Article Text |
id | pubmed-7721797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77217972020-12-11 Synergistic interactions among growing stressors increase risk to an Arctic ecosystem Arrigo, K. R. van Dijken, Gert L. Cameron, M. A. van der Grient, J. Wedding, L. M. Hazen, L. Leape, J. Leonard, G. Merkl, A. Micheli, F. Mills, M. M. Monismith, S. Ouellette, N. T. Zivian, A. Levi, M. Bailey, R. M. Nat Commun Article Oceans provide critical ecosystem services, but are subject to a growing number of external pressures, including overfishing, pollution, habitat destruction, and climate change. Current models typically treat stressors on species and ecosystems independently, though in reality, stressors often interact in ways that are not well understood. Here, we use a network interaction model (OSIRIS) to explicitly study stressor interactions in the Chukchi Sea (Arctic Ocean) due to its extensive climate-driven loss of sea ice and accelerated growth of other stressors, including shipping and oil exploration. The model includes numerous trophic levels ranging from phytoplankton to polar bears. We find that climate-related stressors have a larger impact on animal populations than do acute stressors like increased shipping and subsistence harvesting. In particular, organisms with a strong temperature-growth rate relationship show the greatest changes in biomass as interaction strength increased, but also exhibit the greatest variability. Neglecting interactions between stressors vastly underestimates the risk of population crashes. Our results indicate that models must account for stressor interactions to enable responsible management and decision-making. Nature Publishing Group UK 2020-12-07 /pmc/articles/PMC7721797/ /pubmed/33288746 http://dx.doi.org/10.1038/s41467-020-19899-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Arrigo, K. R. van Dijken, Gert L. Cameron, M. A. van der Grient, J. Wedding, L. M. Hazen, L. Leape, J. Leonard, G. Merkl, A. Micheli, F. Mills, M. M. Monismith, S. Ouellette, N. T. Zivian, A. Levi, M. Bailey, R. M. Synergistic interactions among growing stressors increase risk to an Arctic ecosystem |
title | 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_short | Synergistic interactions among growing stressors increase risk to an Arctic ecosystem |
title_sort | synergistic interactions among growing stressors increase risk to an arctic ecosystem |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721797/ https://www.ncbi.nlm.nih.gov/pubmed/33288746 http://dx.doi.org/10.1038/s41467-020-19899-z |
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