Space for WHAM: a multi-region, multi-stock generalization of the Woods Hole Assessment Model with an application to black sea bass

The Woods Hole Assessment Model is a general state-space age-structured assessment model that is used to assess and manage many stocks in the Northeast US. We first describe an extension of the model allowing any number of stocks (or stock components) and regions with movement among regions as well as seasonal variation in stock and fleet dynamics. Movement rates can be functions of time- and age-varying random effects and environmental covariates. We then illustrate the model by applying it to data for the northern and southern components of the Northeast United States black sea bass stock and evaluate alternative hypotheses of bottom temperature and time-varying random effects on recruitment and natural mortality. We show strong evidence for temperature effects on recruitment, primarily for the northern stock component, and no evidence for including random effects or temperature effects on age 1 natural mortality.

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Publication Details

Journal
Canadian Journal of Fisheries and Aquatic Sciences
Published
2025-01-01
DOI
https://doi.org/10.1139/cjfas-2025-0097
Citations
3
Primary Topic
Marine and fisheries research
Type
article
Field-Weighted Citation Impact
3.32
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article

Space for WHAM: a multi-region, multi-stock generalization of the Woods Hole Assessment Model with an application to black sea bass

Timothy J. Miller, Alexander C. Hansell, Kiersten L. Curti
3 citations
Canadian Journal of Fisheries and Aquatic Sciences
Marine and fisheries research
3.32
article

Space for WHAM: a multi-region, multi-stock generalization of the Woods Hole Assessment Model with an application to black sea bass

Timothy J. Miller, Alexander C. Hansell, Kiersten L. Curti
article en
3 citations

Abstract

The Woods Hole Assessment Model is a general state-space age-structured assessment model that is used to assess and manage many stocks in the Northeast US. We first describe an extension of the model allowing any number of stocks (or stock components) and regions with movement among regions as well as seasonal variation in stock and fleet dynamics. Movement rates can be functions of time- and age-varying random effects and environmental covariates. We then illustrate the model by applying it to data for the northern and southern components of the Northeast United States black sea bass stock and evaluate alternative hypotheses of bottom temperature and time-varying random effects on recruitment and natural mortality. We show strong evidence for temperature effects on recruitment, primarily for the northern stock component, and no evidence for including random effects or temperature effects on age 1 natural mortality.

Canadian Journal of Fisheries and Aquatic SciencesVol. 82
NOAA National Marine Fisheries Service (US), NOAA National Marine Fisheries Service Northeast Fisheries Science Center (US), NOAA National Marine Fisheries Service Southeast Fisheries Science Center (US)
Openalex Percentile: Top 8%
Marine and fisheries research
3.32
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