"So, where do you come from?" The impact of assumed spatial population structure on estimates of recruitment
Sign Up to like & getrecommendations! Published in 2019 at "Fisheries Research"
DOI: 10.1016/j.fishres.2018.11.030
Abstract: Abstract Understanding population dynamics is essential for achieving sustainable and productive fisheries. However, estimating recruitment in a stock assessment model involves the challenging task of identifying a self-sustaining population, which often includes representing complex geographic… read more here.
Keywords: population; population structure; structure; stock assessment ... See more keywords
How does growth misspecification affect management advice derived from an integrated fisheries stock assessment model?
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DOI: 10.1016/j.fishres.2019.01.004
Abstract: Abstract Analysts must make many decisions regarding model specification when fitting integrated fishery stock assessment models. While variation in vital rates (i.e., recruitment, somatic growth, and natural mortality) is common, capturing this variation in models… read more here.
Keywords: stock assessment; growth; management; variation ... See more keywords
Spatial stock assessment methods: A viewpoint on current issues and assumptions
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DOI: 10.1016/j.fishres.2019.01.014
Abstract: Abstract Spatial stock assessments have been developed to address violations of the dynamic pool assumption that the region to be assessed contains a single homogeneous stock. The possibility of such violation is often evident in… read more here.
Keywords: stock assessments; stock assessment; spatial stock; assessment methods ... See more keywords
Improving the robustness of fisheries stock assessment models to outliers in input data
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DOI: 10.1016/j.fishres.2020.105641
Abstract: Abstract Outliers caused by atypical observation error often occur in fishery data. These outliers have an adverse effect on the parameter estimation for fishery stock assessment models. We tested a robust distribution for identifying and… read more here.
Keywords: assessment models; improving robustness; stock assessment; fishery ... See more keywords
Natural mortality diagnostics for state-space stock assessment models
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DOI: 10.1016/j.fishres.2021.106062
Abstract: Abstract Stock assessment models often require an external estimate of the natural mortality rate (M) that is usually assumed to be the same for all ages and years in the model. Although the fixed M… read more here.
Keywords: stock assessment; natural mortality; assessment models; state space ... See more keywords
Caveats with estimating natural mortality rates in stock assessment models using age aggregated catch data and abundance indices
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DOI: 10.1016/j.fishres.2021.106071
Abstract: Abstract We consider the challenge in estimating the natural mortality, M , in a standard statistical fish stock assessment model based on time series of catch- and abundance-at-age data. Though anecdotal evidence and empirical experience… read more here.
Keywords: stock assessment; time; natural mortality; estimating natural ... See more keywords
Large-scale fish movement affects metrics of management importance as indicated by quantitative stock assessment
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DOI: 10.1016/j.jglr.2020.04.002
Abstract: Abstract Since achieving population recovery targets, management of the Saginaw Bay stock of walleye in Lake Huron is informed by a statistical-catch-at-age (SCAA) model providing estimates of abundance, spawning stock biomass, mortality rates, and exploitation… read more here.
Keywords: movement; bay; management; model ... See more keywords
Spatial and temporal variability in somatic growth in fisheries stock assessment models: evaluating the consequences of misspecification
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DOI: 10.1093/icesjms/fsab096
Abstract: Distinct types of fish species experience variation in somatic growth rates over their life span; however, growth has historically been assumed to be invariant across time and space in integrated analysis-based stock assessment. A few… read more here.
Keywords: somatic growth; stock assessment; growth; variability ... See more keywords
Spatiotemporal analysis of compositional data: increased precision and improved workflow using model-based inputs to stock assessment
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DOI: 10.1139/cjfas-2018-0015
Abstract: Stock assessment models are fitted to abundance-index, fishery catch, and age–length–sex composition data that are estimated from survey and fishery records. Research has developed spatiotemporal methods to estimate abundance indices, but there is little research… read more here.
Keywords: stock assessment; composition data; compositional data; model based ... See more keywords
Improving data-limited stock assessment with sporadic stock index information in stock reduction analysis
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DOI: 10.1139/cjfas-2018-0500
Abstract: As most exploited fisheries lack a coherent time series of biomass index, development of data-limited stock assessment methods such as stock reduction analysis (SRA), is critical for fishery stock ... read more here.
Keywords: limited stock; stock reduction; reduction analysis; stock assessment ... See more keywords
Detecting significant retrospective patterns in state space fish stock assessment
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DOI: 10.1139/cjfas-2022-0250
Abstract: Retrospective patterns are commonly investigated to validate fish stock assessment models. A widely applied measure for retrospective bias is Mohn's ρ and corresponding retrospective plots. However, retrospective patterns can be interpreted differently by experts. To… read more here.
Keywords: assessment; state space; fish stock; stock assessment ... See more keywords