1. Estimating Fish Body Condition with Quantile Regression
- Author
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James W. Terrell, Mark T. Porath, and Brian S. Cade
- Subjects
Percentile ,Ecology ,biology ,White bass ,Alosa pseudoharengus ,Alewife ,Management, Monitoring, Policy and Law ,Aquatic Science ,biology.organism_classification ,Quantile regression ,Statistics ,Allometry ,Morone ,Ecology, Evolution, Behavior and Systematics ,Mathematics ,Quantile - Abstract
We used quantile regression to compare the body condition of walleye Sander vitreus and white bass Morone chrysops before (1980–1988) and after (1989–2004) the establishment of alewives Alosa pseudoharengus in Lake McConaughy, Nebraska. Higher quantiles (percentiles = 100% × quantiles (0, 1)) of weight (W) at the same total length (TL) were indicative of better body condition in an allometric growth model that included separate slopes and intercepts for the before and after groups. All quantiles of walleye weights by TL increased in the years after alewife introduction, ranging from 1.01 to 1.12 times weights in the years before alewife introduction, with greatest increases for the lower (
- Published
- 2008
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