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Accounting for unreported harvest in fisheries with diverse social dynamics.

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Title: Accounting for unreported harvest in fisheries with diverse social dynamics.
Authors: Brooks, George C.1 (AUTHOR) gbrooks4@wisc.edu, Hultin, Emma A.1 (AUTHOR), Martins, Eduardo G.2 (AUTHOR), Castello, Leandro1 (AUTHOR), Sorice, Michael G.3 (AUTHOR), Kindsvater, Holly K.1 (AUTHOR)
Source: Ecosphere. May2026, Vol. 17 Issue 5, p1-14. 14p.
Subject Terms: *Fish populations, *Fishing, *Fisheries, *Bycatches, Social dynamics, Regulatory compliance
Abstract: Fisheries are coupled social and ecological systems that exemplify the challenges arising from the intricate dynamics and feedback loops between human behavior and the natural environment. Assessments of the status of a fishery rely on data on fish population variability over time and estimates of harvest rate and reported catch. These models are used to understand the regulatory mechanisms underlying the relationship between fishing and population productivity. However, when fishing activity is illegal, unreported, and/or unregulated (IUU), such models can underestimate the vulnerability of fish stocks to collapse. There is a need, therefore, to develop general methods to incorporate information about human decisions regarding when and how much to fish, and compliance with reporting and fishing regulations into population assessments. Here, we propose and assess a novel approach to model population demography of a fished population, incorporating ecological estimates of natural mortality, population censuses, and catch data. We describe the ways in which knowledge of social dynamics in different types of fisheries can inform estimates of reported and unreported fishing in our modeling framework. We consider four alternative modeling parameterizations that reflect real‐world scenarios for which the degree of unreported fishing and the relationship between reporting rate and fish abundance varies. We show that, in some cases, ignoring IUU fishing can severely bias estimates of vital rates and population dynamics. Using prior knowledge of how fishing and reporting change with fish abundance can inform estimates of IUU in model formulations and improve their predictive accuracy. [ABSTRACT FROM AUTHOR]
Copyright of Ecosphere is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: GreenFILE
An: 194012456
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PubTypeId: academicJournal
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  Data: Accounting for unreported harvest in fisheries with diverse social dynamics.
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  Data: <searchLink fieldCode="AR" term="%22Brooks%2C+George+C%2E%22">Brooks, George C.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gbrooks4@wisc.edu</i><br /><searchLink fieldCode="AR" term="%22Hultin%2C+Emma+A%2E%22">Hultin, Emma A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Martins%2C+Eduardo+G%2E%22">Martins, Eduardo G.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Castello%2C+Leandro%22">Castello, Leandro</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sorice%2C+Michael+G%2E%22">Sorice, Michael G.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kindsvater%2C+Holly+K%2E%22">Kindsvater, Holly K.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Ecosphere%22">Ecosphere</searchLink>. May2026, Vol. 17 Issue 5, p1-14. 14p.
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  Data: *<searchLink fieldCode="DE" term="%22Fish+populations%22">Fish populations</searchLink><br />*<searchLink fieldCode="DE" term="%22Fishing%22">Fishing</searchLink><br />*<searchLink fieldCode="DE" term="%22Fisheries%22">Fisheries</searchLink><br />*<searchLink fieldCode="DE" term="%22Bycatches%22">Bycatches</searchLink><br /><searchLink fieldCode="DE" term="%22Social+dynamics%22">Social dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Regulatory+compliance%22">Regulatory compliance</searchLink>
– Name: Abstract
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  Data: Fisheries are coupled social and ecological systems that exemplify the challenges arising from the intricate dynamics and feedback loops between human behavior and the natural environment. Assessments of the status of a fishery rely on data on fish population variability over time and estimates of harvest rate and reported catch. These models are used to understand the regulatory mechanisms underlying the relationship between fishing and population productivity. However, when fishing activity is illegal, unreported, and/or unregulated (IUU), such models can underestimate the vulnerability of fish stocks to collapse. There is a need, therefore, to develop general methods to incorporate information about human decisions regarding when and how much to fish, and compliance with reporting and fishing regulations into population assessments. Here, we propose and assess a novel approach to model population demography of a fished population, incorporating ecological estimates of natural mortality, population censuses, and catch data. We describe the ways in which knowledge of social dynamics in different types of fisheries can inform estimates of reported and unreported fishing in our modeling framework. We consider four alternative modeling parameterizations that reflect real‐world scenarios for which the degree of unreported fishing and the relationship between reporting rate and fish abundance varies. We show that, in some cases, ignoring IUU fishing can severely bias estimates of vital rates and population dynamics. Using prior knowledge of how fishing and reporting change with fish abundance can inform estimates of IUU in model formulations and improve their predictive accuracy. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Ecosphere is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/ecs2.70644
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        Text: English
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        PageCount: 14
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      – SubjectFull: Fish populations
        Type: general
      – SubjectFull: Fishing
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      – SubjectFull: Fisheries
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      – SubjectFull: Bycatches
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      – SubjectFull: Social dynamics
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      – SubjectFull: Regulatory compliance
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      – TitleFull: Accounting for unreported harvest in fisheries with diverse social dynamics.
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              M: 05
              Text: May2026
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              Y: 2026
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