Exploring social-ecological trade-offs in fisheries using a coupled food web and human behavior model

Marine fisheries represent a social-ecological system driven by both complex ecological processes and human interactions. Ecosystem-based fisheries management requires an understanding of both the biological and social components, and management failure can occur when either are excluded. Despite th...

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Autores principales:	Anne A. Innes-Gold, Tyler Pavlowich, Margaret Heinichen, M. Conor McManus, Jason McNamee, Jeremy Collie, Austin T. Humphries
Formato:	article
Lenguaje:	EN
Publicado:	Resilience Alliance 2021
Materias:	agent-based model ecopath with ecosim ecosystem-based fisheries management estuary forage fish social-ecological system Biology (General) QH301-705.5 Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/47996e4e10ee4ee9b0575cedd51d3ded
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spelling	oai:doaj.org-article:47996e4e10ee4ee9b0575cedd51d3ded2021-11-15T16:40:18ZExploring social-ecological trade-offs in fisheries using a coupled food web and human behavior model1708-308710.5751/ES-12451-260240https://doaj.org/article/47996e4e10ee4ee9b0575cedd51d3ded2021-06-01T00:00:00Zhttps://www.ecologyandsociety.org/vol26/iss2/art40/https://doaj.org/toc/1708-3087Marine fisheries represent a social-ecological system driven by both complex ecological processes and human interactions. Ecosystem-based fisheries management requires an understanding of both the biological and social components, and management failure can occur when either are excluded. Despite the significance of both, most research has focused on characterizing biological uncertainty rather than on better understanding the impacts of human behavior because of the difficulty of incorporating human behavior into simulation models. In this study, we use the fisheries in Narragansett Bay (Rhode Island, USA) as a case study to demonstrate how coupled modeling can be used to represent interactions between the food web and fishers in a social-ecological system. Narragansett Bay holds both a commercial fishery for forage fish, i.e., Atlantic menhaden (Brevoortia tyrannus) and a recreational fishery for their predators, i.e. striped bass (Morone saxatilis) and bluefish (Pomatomus saltatrix). To explore trade-offs between these two fisheries, we created a food web model and then coupled it to a recreational fishers' behavior model, creating a dynamic social-ecological representation of the ecosystem. Fish biomass was projected until 2030 in both the stand-alone food web model and the coupled social-ecological model, with results highlighting how the incorporation of fisher behavior in modeling can lead to changes in the ecosystem. We examined how model outputs varied in response to three attributes: (1) the forage fish commercial harvest scenario, (2) the predatory (piscivorous) fish abundance-catch relationship in the recreational fishery, and (3) the rate at which recreational fishers become discouraged (termed "satisfaction loss"). Higher commercial harvest of forage fish led to lower piscivorous fish biomass but had minimal effects on the number of piscivorous fish caught recreationally or recreational fisher satisfaction. Both the abundance-catch relationship and satisfaction loss rate had notable effects on the fish biomass, the number of fish caught recreationally, and recreational fisher satisfaction. Currently, the lack of spatial and location-specific fisher behavior data limits the predictive use of our model. However, our modeling framework shows that fisher behavior can be successfully incorporated into a coupled social-ecological model through the use of agent-based modeling, and our results highlight that its inclusion can influence ecosystem dynamics. Because fisher decision making and the ecosystem can influence one another, social responses to changing ecosystems should be explicitly integrated into ecosystem modeling to improve ecosystem-based fisheries management efforts.Anne A. Innes-GoldTyler PavlowichMargaret HeinichenM. Conor McManusJason McNameeJeremy CollieAustin T. HumphriesResilience Alliancearticleagent-based modelecopath with ecosimecosystem-based fisheries managementestuaryforage fishsocial-ecological systemBiology (General)QH301-705.5EcologyQH540-549.5ENEcology and Society, Vol 26, Iss 2, p 40 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	agent-based model ecopath with ecosim ecosystem-based fisheries management estuary forage fish social-ecological system Biology (General) QH301-705.5 Ecology QH540-549.5
spellingShingle	agent-based model ecopath with ecosim ecosystem-based fisheries management estuary forage fish social-ecological system Biology (General) QH301-705.5 Ecology QH540-549.5 Anne A. Innes-Gold Tyler Pavlowich Margaret Heinichen M. Conor McManus Jason McNamee Jeremy Collie Austin T. Humphries Exploring social-ecological trade-offs in fisheries using a coupled food web and human behavior model
description	Marine fisheries represent a social-ecological system driven by both complex ecological processes and human interactions. Ecosystem-based fisheries management requires an understanding of both the biological and social components, and management failure can occur when either are excluded. Despite the significance of both, most research has focused on characterizing biological uncertainty rather than on better understanding the impacts of human behavior because of the difficulty of incorporating human behavior into simulation models. In this study, we use the fisheries in Narragansett Bay (Rhode Island, USA) as a case study to demonstrate how coupled modeling can be used to represent interactions between the food web and fishers in a social-ecological system. Narragansett Bay holds both a commercial fishery for forage fish, i.e., Atlantic menhaden (Brevoortia tyrannus) and a recreational fishery for their predators, i.e. striped bass (Morone saxatilis) and bluefish (Pomatomus saltatrix). To explore trade-offs between these two fisheries, we created a food web model and then coupled it to a recreational fishers' behavior model, creating a dynamic social-ecological representation of the ecosystem. Fish biomass was projected until 2030 in both the stand-alone food web model and the coupled social-ecological model, with results highlighting how the incorporation of fisher behavior in modeling can lead to changes in the ecosystem. We examined how model outputs varied in response to three attributes: (1) the forage fish commercial harvest scenario, (2) the predatory (piscivorous) fish abundance-catch relationship in the recreational fishery, and (3) the rate at which recreational fishers become discouraged (termed "satisfaction loss"). Higher commercial harvest of forage fish led to lower piscivorous fish biomass but had minimal effects on the number of piscivorous fish caught recreationally or recreational fisher satisfaction. Both the abundance-catch relationship and satisfaction loss rate had notable effects on the fish biomass, the number of fish caught recreationally, and recreational fisher satisfaction. Currently, the lack of spatial and location-specific fisher behavior data limits the predictive use of our model. However, our modeling framework shows that fisher behavior can be successfully incorporated into a coupled social-ecological model through the use of agent-based modeling, and our results highlight that its inclusion can influence ecosystem dynamics. Because fisher decision making and the ecosystem can influence one another, social responses to changing ecosystems should be explicitly integrated into ecosystem modeling to improve ecosystem-based fisheries management efforts.
format	article
author	Anne A. Innes-Gold Tyler Pavlowich Margaret Heinichen M. Conor McManus Jason McNamee Jeremy Collie Austin T. Humphries
author_facet	Anne A. Innes-Gold Tyler Pavlowich Margaret Heinichen M. Conor McManus Jason McNamee Jeremy Collie Austin T. Humphries
author_sort	Anne A. Innes-Gold
title	Exploring social-ecological trade-offs in fisheries using a coupled food web and human behavior model
title_short	Exploring social-ecological trade-offs in fisheries using a coupled food web and human behavior model
title_full	Exploring social-ecological trade-offs in fisheries using a coupled food web and human behavior model
title_fullStr	Exploring social-ecological trade-offs in fisheries using a coupled food web and human behavior model
title_full_unstemmed	Exploring social-ecological trade-offs in fisheries using a coupled food web and human behavior model
title_sort	exploring social-ecological trade-offs in fisheries using a coupled food web and human behavior model
publisher	Resilience Alliance
publishDate	2021
url	https://doaj.org/article/47996e4e10ee4ee9b0575cedd51d3ded
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Exploring social-ecological trade-offs in fisheries using a coupled food web and human behavior model

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