Can spawning origin information of catch or a recruitment penalty improve assessment and fishery management performance for a spatially structured stock assessment model?

We used simulations based on lake whitefish (Coregonus clupeaformis) populations to explore the benefits of using spawning origin information for parsing catch to spawning populations in stock assessments for intermixed fisheries exhibiting an overlapping movement strategy. We compared this origin-i...

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Published inCanadian journal of fisheries and aquatic sciences Vol. 75; no. 12; pp. 2136 - 2148
Main Authors Li, Yang, Bence, James R, Brenden, Travis O
Format Journal Article
LanguageEnglish
Published Ottawa NRC Research Press 2018
Canadian Science Publishing NRC Research Press
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Abstract We used simulations based on lake whitefish (Coregonus clupeaformis) populations to explore the benefits of using spawning origin information for parsing catch to spawning populations in stock assessments for intermixed fisheries exhibiting an overlapping movement strategy. We compared this origin-informed assessment model with a standard assessment model that did not parse catch. We additionally evaluated the influence of including annual recruitment penalties. For standard assessment models, spawning stock biomass estimates could be unstable and biased (sometimes by more than 50%), depending upon population mixing and productivity, and in some cases estimated near average zero recruitment in the terminal year. Incorporating information on population-specific harvest age composition improved spawning stock biomass estimation (e.g., by sometimes essentially removing 50% biases and improving accuracy). Assessments with recruitment penalties produced less biased terminal recruitment estimates (sometimes a 100% bias was removed). Under status quo target mortality rates, improvements in assessments did not necessarily translate to improved fishery management performance (e.g., avoiding depletion of spawning biomass), but such improvements, and overall better performance, were seen at lower target mortality rates.
AbstractList We used simulations based on lake whitefish (Coregonus clupeaformis) populations to explore the benefits of using spawning origin information for parsing catch to spawning populations in stock assessments for intermixed fisheries exhibiting an overlapping movement strategy. We compared this origin-informed assessment model with a standard assessment model that did not parse catch. We additionally evaluated the influence of including annual recruitment penalties. For standard assessment models, spawning stock biomass estimates could be unstable and biased (sometimes by more than 50%), depending upon population mixing and productivity, and in some cases estimated near average zero recruitment in the terminal year. Incorporating information on population-specific harvest age composition improved spawning stock biomass estimation (e.g., by sometimes essentially removing 50% biases and improving accuracy). Assessments with recruitment penalties produced less biased terminal recruitment estimates (sometimes a 100% bias was removed). Under status quo target mortality rates, improvements in assessments did not necessarily translate to improved fishery management performance (e.g., avoiding depletion of spawning biomass), but such improvements, and overall better performance, were seen at lower target mortality rates.
Abstract_FL Nous avons utilisé des simulations basées sur des populations de grands corégones (Coregonus clupeaformis) pour explorer les avantages d’utiliser des renseignements sur le lieu du frai pour trier les prises selon leurs populations génitrices dans les évaluations des stocks pour des ressources halieutiques mélangées présentant des stratégies de déplacement qui se chevauchent. Nous avons comparé ce modèle d’évaluation éclairé par l’origine à un modèle d’évaluation standard qui ne trie pas les prises. Nous avons en outre évalué l’influence de l’incorporation de pénalités annuelles associées au recrutement. Pour les modèles d’évaluation standards, les estimations de la biomasse du stock reproducteur peuvent être instables et biaisées (parfois par plus de 50 %), selon le mélange et la productivité des populations, et dans certains cas, ces modèles estiment un recrutement presque nul durant l’année terminale. L’incorporation de renseignements sur la composition selon l’âge au moment de la pêche pour les populations améliore l’estimation de la biomasse du stocks reproducteur (p. ex. en retirant parfois essentiellement des biais de 50 % et en améliorant l’exactitude). Les évaluations intégrant des pénalités associées au recrutement produisent des estimations moins biaisées du recrutement terminal (parfois un biais de 100 % est retiré). Étant donné les taux de mortalité cibles actuels, les améliorations des évaluations ne se traduisent pas nécessairement par une meilleure performance de la gestion des pêches (p. ex. évitement de l’appauvrissement de la biomasse de géniteurs), mais de telles améliorations et une meilleure performance globale sont obtenues pour des taux de mortalité cibles plus faibles. [Traduit par la Rédaction]
Author Brenden, Travis O
Li, Yang
Bence, James R
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  organization: Quantitative Fisheries Center, Department of Fisheries and Wildlife, Michigan State University, 375 Wilson Rd., UPLA Room 101, East Lansing, MI 48824-1101, USA
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Snippet We used simulations based on lake whitefish (Coregonus clupeaformis) populations to explore the benefits of using spawning origin information for parsing catch...
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SubjectTerms Age composition
Age structure
Assessments
Biomass
Catch statistics
Composition
Computer simulation
Coregonus clupeaformis
Depletion
Fisheries
Fisheries management
Fishery management
Freshwater
Freshwater fishes
Lakes
Modelling
Mortality
Populations
Recruitment
Recruitment (fisheries)
Simulation
Spawning
Spawning populations
Spawning stock biomass
Stock assessment
Title Can spawning origin information of catch or a recruitment penalty improve assessment and fishery management performance for a spatially structured stock assessment model?
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