Incorporating temporal heterogeneity in environmental conditions into a somatic growth model

Canadian Journal of Fisheries and Aquatic Sciences
By: , and 

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Abstract

Evaluating environmental effects on fish growth can be challenging because environmental conditions may vary at relatively fine temporal scales compared to sampling occasions. Here we develop a Bayesian state-space growth model to evaluate effects of monthly environmental data on growth of fish that are observed less frequently (e.g., from mark-recapture data where time between captures can range from months to years). We assess effects of temperature, turbidity duration, food availability, flow variability, and trout abundance on subadult humpback chub (Gila cypha) growth in two rivers, the Colorado River (CR) and the Little Colorado River (LCR), and we use out-of-sample prediction to rank competing models. Environmental covariates explained a high proportion of the variation in growth in both rivers; however, the best growth models were river-specific and included either positive temperature and turbidity duration effects (CR) or positive temperature and food availability effects (LCR). Our approach to analyzing environmental controls on growth should be applicable in other systems where environmental data vary over relatively short time scales compared to animal observations.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Incorporating temporal heterogeneity in environmental conditions into a somatic growth model
Series title Canadian Journal of Fisheries and Aquatic Sciences
DOI 10.1139/cjfas-2016-0056
Volume 74
Issue 3
Year Published 2017
Language English
Publisher NRC Research Press
Contributing office(s) Southwest Biological Science Center
Description 11 p.
First page 316
Last page 326