Trends in Growth Modeling in Fisheries Science
نویسندگان
چکیده
Growth models estimate life history parameters (e.g., growth rates and asymptotic size) that are used in the management of fisheries stocks. Traditionally science, it was common to fit one model—the von Bertalanffy model—to size-at-age data. However, recent years, science has seen an increase number available evaluation multiple for a given species or study. We reviewed n = 196 peer-reviewed age studies 50 NOAA (National Oceanic Atmospheric Administration) regional stock assessments examine trends use model selection over time. Our results indicate total increased annually since 1988 with slight proportional multi-model frameworks. Information theoretic approaches replacing goodness-of-fit priori studies; however, this trend is not reflected assessments, which almost exclusively rely on model. Covariates such as system marine fresh), location study, diet, family, maximum age, range data fitting did contribute ultimately best fitting, suggesting there no large-scale patterns specific being applied histories other attributes. Given importance ubiquity modeling historical contemporary understanding practice critical evaluate improvements have been made future challenges.
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ژورنال
عنوان ژورنال: Fishes
سال: 2021
ISSN: ['2410-3888']
DOI: https://doi.org/10.3390/fishes6010001