The Potential to Improve the Sustainability of Pelagic Fisheries in the Northeast Atlantic by Incorporating Individual Fish Behavior Into Acoustic Sampling
With the increased uncertainty introduced through climate change and fishing pressure, having accurate estimates of fish biomass is essential for global ecosystem and economic health. Acoustic surveys are an efficient way to determine population size for pelagic species in the Northeast Atlantic (NE...
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Online Access: | https://doi.org/10.3389/fmars.2020.00357 https://doaj.org/article/b8e16f7a4e3e40348da09825bf816b1c |
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ftdoajarticles:oai:doaj.org/article:b8e16f7a4e3e40348da09825bf816b1c 2023-05-15T17:41:24+02:00 The Potential to Improve the Sustainability of Pelagic Fisheries in the Northeast Atlantic by Incorporating Individual Fish Behavior Into Acoustic Sampling Sophia N. Wassermann Mark P. Johnson 2020-05-01T00:00:00Z https://doi.org/10.3389/fmars.2020.00357 https://doaj.org/article/b8e16f7a4e3e40348da09825bf816b1c EN eng Frontiers Media S.A. https://www.frontiersin.org/article/10.3389/fmars.2020.00357/full https://doaj.org/toc/2296-7745 2296-7745 doi:10.3389/fmars.2020.00357 https://doaj.org/article/b8e16f7a4e3e40348da09825bf816b1c Frontiers in Marine Science, Vol 7 (2020) Atlantic mackerel pelagic fisheries fish shoaling fisheries acoustics individual-based models (IBM) collective behavior Science Q General. Including nature conservation geographical distribution QH1-199.5 article 2020 ftdoajarticles https://doi.org/10.3389/fmars.2020.00357 2022-12-31T08:19:11Z With the increased uncertainty introduced through climate change and fishing pressure, having accurate estimates of fish biomass is essential for global ecosystem and economic health. Acoustic surveys are an efficient way to determine population size for pelagic species in the Northeast Atlantic (NEA), but acoustic population estimates still contain uncertainty and are difficult for some species. For example, Atlantic mackerel (Scomber scombrus) is one of the most valuable fisheries in the NEA and is not monitored acoustically, as mackerel lack the swim bladder that provides the strongest acoustic echo (target strength) at common assessment frequencies. For all pelagic species, and especially for mackerel, behavior is a source of variation in acoustic measurements and therefore in population estimates. Behavior is mediated by both extrinsic and intrinsic factors, such as the environment and the life history of the fish. In turn, behavior affects the density of the shoal and the tilt angle of the fish relative to the survey vessel, affecting their target strength, which affects the biomass estimate. Some fish may also undergo an anti-predator response to survey vessels, changing their behavior in response to the survey. Understanding these behaviors and incorporating them into acoustic stock assessment methods can improve the accuracy of population estimates. Individual-based models (IBM) of fish shoals provide a pathway for incorporating behavior into acoustic methods. IBMs have been used extensively to build theoretical models of fish shoals, but few have been successfully tested in lab or field conditions. As computational power and monitoring technology improve, modeling the collective behavior of pelagic fishes will be possible. Novel, interdisciplinary approaches to data collection and analysis will help translate theoretical IBMs to the fisheries science domain. Beyond acoustic stock assessments, this approach can be used to investigate knowledge gaps in the effects of fisheries-induced evolution and the ... Article in Journal/Newspaper Northeast Atlantic Directory of Open Access Journals: DOAJ Articles Frontiers in Marine Science 7 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Atlantic mackerel pelagic fisheries fish shoaling fisheries acoustics individual-based models (IBM) collective behavior Science Q General. Including nature conservation geographical distribution QH1-199.5 |
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Atlantic mackerel pelagic fisheries fish shoaling fisheries acoustics individual-based models (IBM) collective behavior Science Q General. Including nature conservation geographical distribution QH1-199.5 Sophia N. Wassermann Mark P. Johnson The Potential to Improve the Sustainability of Pelagic Fisheries in the Northeast Atlantic by Incorporating Individual Fish Behavior Into Acoustic Sampling |
topic_facet |
Atlantic mackerel pelagic fisheries fish shoaling fisheries acoustics individual-based models (IBM) collective behavior Science Q General. Including nature conservation geographical distribution QH1-199.5 |
description |
With the increased uncertainty introduced through climate change and fishing pressure, having accurate estimates of fish biomass is essential for global ecosystem and economic health. Acoustic surveys are an efficient way to determine population size for pelagic species in the Northeast Atlantic (NEA), but acoustic population estimates still contain uncertainty and are difficult for some species. For example, Atlantic mackerel (Scomber scombrus) is one of the most valuable fisheries in the NEA and is not monitored acoustically, as mackerel lack the swim bladder that provides the strongest acoustic echo (target strength) at common assessment frequencies. For all pelagic species, and especially for mackerel, behavior is a source of variation in acoustic measurements and therefore in population estimates. Behavior is mediated by both extrinsic and intrinsic factors, such as the environment and the life history of the fish. In turn, behavior affects the density of the shoal and the tilt angle of the fish relative to the survey vessel, affecting their target strength, which affects the biomass estimate. Some fish may also undergo an anti-predator response to survey vessels, changing their behavior in response to the survey. Understanding these behaviors and incorporating them into acoustic stock assessment methods can improve the accuracy of population estimates. Individual-based models (IBM) of fish shoals provide a pathway for incorporating behavior into acoustic methods. IBMs have been used extensively to build theoretical models of fish shoals, but few have been successfully tested in lab or field conditions. As computational power and monitoring technology improve, modeling the collective behavior of pelagic fishes will be possible. Novel, interdisciplinary approaches to data collection and analysis will help translate theoretical IBMs to the fisheries science domain. Beyond acoustic stock assessments, this approach can be used to investigate knowledge gaps in the effects of fisheries-induced evolution and the ... |
format |
Article in Journal/Newspaper |
author |
Sophia N. Wassermann Mark P. Johnson |
author_facet |
Sophia N. Wassermann Mark P. Johnson |
author_sort |
Sophia N. Wassermann |
title |
The Potential to Improve the Sustainability of Pelagic Fisheries in the Northeast Atlantic by Incorporating Individual Fish Behavior Into Acoustic Sampling |
title_short |
The Potential to Improve the Sustainability of Pelagic Fisheries in the Northeast Atlantic by Incorporating Individual Fish Behavior Into Acoustic Sampling |
title_full |
The Potential to Improve the Sustainability of Pelagic Fisheries in the Northeast Atlantic by Incorporating Individual Fish Behavior Into Acoustic Sampling |
title_fullStr |
The Potential to Improve the Sustainability of Pelagic Fisheries in the Northeast Atlantic by Incorporating Individual Fish Behavior Into Acoustic Sampling |
title_full_unstemmed |
The Potential to Improve the Sustainability of Pelagic Fisheries in the Northeast Atlantic by Incorporating Individual Fish Behavior Into Acoustic Sampling |
title_sort |
potential to improve the sustainability of pelagic fisheries in the northeast atlantic by incorporating individual fish behavior into acoustic sampling |
publisher |
Frontiers Media S.A. |
publishDate |
2020 |
url |
https://doi.org/10.3389/fmars.2020.00357 https://doaj.org/article/b8e16f7a4e3e40348da09825bf816b1c |
genre |
Northeast Atlantic |
genre_facet |
Northeast Atlantic |
op_source |
Frontiers in Marine Science, Vol 7 (2020) |
op_relation |
https://www.frontiersin.org/article/10.3389/fmars.2020.00357/full https://doaj.org/toc/2296-7745 2296-7745 doi:10.3389/fmars.2020.00357 https://doaj.org/article/b8e16f7a4e3e40348da09825bf816b1c |
op_doi |
https://doi.org/10.3389/fmars.2020.00357 |
container_title |
Frontiers in Marine Science |
container_volume |
7 |
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1766142930565726208 |