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Key transitions in morphological development improve age estimates in white sturgeon Acipenser transmontanus
Authors:Liam J. Zarri  Sarah B. Mehl  Eric P. Palkovacs  Nann A. Fangue
Affiliation:1. Department of Ecology & Evolutionary Biology, University of California, Santa Cruz, California, USA;2. Department of Wildlife, Fish and Conservation Biology, University of California, Davis, California, USA
Abstract:We reared white sturgeon Acipenser transmontanus under laboratory conditions and found that a random-forest model containing scute counts and total length predicted age significantly better than total length alone. Scute counts are rapid, inexpensive and non-lethal meristics to gather in the field. This technique could improve age estimates of imperilled sturgeon populations.
Keywords:age-prediction  fisheries management  larval fish  ontogeny  random-forest model
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