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• W1969783463 abstract "Abstract Increasing our understanding of how environmental factors affect fish body condition and improving its utility as a metric of aquatic system health require reliable estimates of spatial variation in condition (weight at length). We used three statistical approaches that varied in how they accounted for heterogeneity in allometric growth to estimate differences in body condition of blue suckers Cycleptus elongatus across 19 large-river locations in the central USA. Quantile regression of an expanded allometric growth model provided the most comprehensive estimates, including variation in exponents within and among locations (range = 2.88–4.24). Blue suckers from more-southerly locations had the largest exponents. Mixed-effects mean regression of a similar expanded allometric growth model allowed exponents to vary among locations (range = 3.03–3.60). Mean relative weights compared across selected intervals of total length (TL = 510–594 and 594–692 mm) in a multiplicative model involved the implicit..." @default.
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• W1969783463 date "2011-11-01" @default.
• W1969783463 modified "2023-09-23" @default.
• W1969783463 title "Estimating Geographic Variation in Allometric Growth and Body Condition of Blue Suckers with Quantile Regression" @default.
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• W1969783463 doi "https://doi.org/10.1080/00028487.2011.641885" @default.
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