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Diverse integrated ecosystem approach overcomes pandemic-related fisheries monitoring challenges

The COVID-19 pandemic caused unprecedented cancellations of fisheries and ecosystem-assessment surveys, resulting in a recession of observations needed for management and conservation globally. This unavoidable reduction of survey data poses challenges for informing biodiversity and ecosystem functi...

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Autores principales: Santora, Jarrod A., Rogers, Tanya L., Cimino, Megan A., Sakuma, Keith M., Hanson, Keith D., Dick, E. J., Jahncke, Jaime, Warzybok, Pete, Field, John C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585921/
https://www.ncbi.nlm.nih.gov/pubmed/34764244
http://dx.doi.org/10.1038/s41467-021-26484-5
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author Santora, Jarrod A.
Rogers, Tanya L.
Cimino, Megan A.
Sakuma, Keith M.
Hanson, Keith D.
Dick, E. J.
Jahncke, Jaime
Warzybok, Pete
Field, John C.
author_facet Santora, Jarrod A.
Rogers, Tanya L.
Cimino, Megan A.
Sakuma, Keith M.
Hanson, Keith D.
Dick, E. J.
Jahncke, Jaime
Warzybok, Pete
Field, John C.
author_sort Santora, Jarrod A.
collection PubMed
description The COVID-19 pandemic caused unprecedented cancellations of fisheries and ecosystem-assessment surveys, resulting in a recession of observations needed for management and conservation globally. This unavoidable reduction of survey data poses challenges for informing biodiversity and ecosystem functioning, developing future stock assessments of harvested species, and providing strategic advice for ecosystem-based management. We present a diversified framework involving integration of monitoring data with empirical models and simulations to inform ecosystem status within the California Current Large Marine Ecosystem. We augment trawl observations collected from a limited fisheries survey with survey effort reduction simulations, use of seabird diets as indicators of fish abundance, and krill species distribution modeling trained on past observations. This diversified approach allows for evaluation of ecosystem status during data-poor situations, especially during the COVID-19 era. The challenges to ecosystem monitoring imposed by the pandemic may be overcome by preparing for unexpected effort reduction, linking disparate ecosystem indicators, and applying new species modeling techniques.
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spelling pubmed-85859212021-11-15 Diverse integrated ecosystem approach overcomes pandemic-related fisheries monitoring challenges Santora, Jarrod A. Rogers, Tanya L. Cimino, Megan A. Sakuma, Keith M. Hanson, Keith D. Dick, E. J. Jahncke, Jaime Warzybok, Pete Field, John C. Nat Commun Article The COVID-19 pandemic caused unprecedented cancellations of fisheries and ecosystem-assessment surveys, resulting in a recession of observations needed for management and conservation globally. This unavoidable reduction of survey data poses challenges for informing biodiversity and ecosystem functioning, developing future stock assessments of harvested species, and providing strategic advice for ecosystem-based management. We present a diversified framework involving integration of monitoring data with empirical models and simulations to inform ecosystem status within the California Current Large Marine Ecosystem. We augment trawl observations collected from a limited fisheries survey with survey effort reduction simulations, use of seabird diets as indicators of fish abundance, and krill species distribution modeling trained on past observations. This diversified approach allows for evaluation of ecosystem status during data-poor situations, especially during the COVID-19 era. The challenges to ecosystem monitoring imposed by the pandemic may be overcome by preparing for unexpected effort reduction, linking disparate ecosystem indicators, and applying new species modeling techniques. Nature Publishing Group UK 2021-11-11 /pmc/articles/PMC8585921/ /pubmed/34764244 http://dx.doi.org/10.1038/s41467-021-26484-5 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Santora, Jarrod A.
Rogers, Tanya L.
Cimino, Megan A.
Sakuma, Keith M.
Hanson, Keith D.
Dick, E. J.
Jahncke, Jaime
Warzybok, Pete
Field, John C.
Diverse integrated ecosystem approach overcomes pandemic-related fisheries monitoring challenges
title Diverse integrated ecosystem approach overcomes pandemic-related fisheries monitoring challenges
title_full Diverse integrated ecosystem approach overcomes pandemic-related fisheries monitoring challenges
title_fullStr Diverse integrated ecosystem approach overcomes pandemic-related fisheries monitoring challenges
title_full_unstemmed Diverse integrated ecosystem approach overcomes pandemic-related fisheries monitoring challenges
title_short Diverse integrated ecosystem approach overcomes pandemic-related fisheries monitoring challenges
title_sort diverse integrated ecosystem approach overcomes pandemic-related fisheries monitoring challenges
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585921/
https://www.ncbi.nlm.nih.gov/pubmed/34764244
http://dx.doi.org/10.1038/s41467-021-26484-5
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