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ANALYSIS OF SIZE TRAJECTORY DATA USING AN ENERGETIC-BASED GROWTH MODEL

2005; Wiley; Volume: 86; Issue: 6 Linguagem: Inglês

10.1890/04-1351

1939-9170

Masami Fujiwara, Bruce E. Kendall, Roger M. Nisbet, William A. Bennett,

Marine and fisheries research

EcologyVolume 86, Issue 6 p. 1441-1451 Article ANALYSIS OF SIZE TRAJECTORY DATA USING AN ENERGETIC-BASED GROWTH MODEL Masami Fujiwara, Masami Fujiwara Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, California 93106-9610 USA E-mail: [email protected]Search for more papers by this authorBruce E. Kendall, Bruce E. Kendall Donald Bren School of Environmental Science and Management, University of California, Santa Barbara, California 93106-5131 USASearch for more papers by this authorRoger M. Nisbet, Roger M. Nisbet Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, California 93106-9610 USASearch for more papers by this authorWilliam A. Bennett, William A. Bennett John Muir Institute of the Environment, Bodega Marine Laboratory, University of California, Davis, California 95616 USASearch for more papers by this author Masami Fujiwara, Masami Fujiwara Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, California 93106-9610 USA E-mail: [email protected]Search for more papers by this authorBruce E. Kendall, Bruce E. Kendall Donald Bren School of Environmental Science and Management, University of California, Santa Barbara, California 93106-5131 USASearch for more papers by this authorRoger M. Nisbet, Roger M. Nisbet Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, California 93106-9610 USASearch for more papers by this authorWilliam A. Bennett, William A. Bennett John Muir Institute of the Environment, Bodega Marine Laboratory, University of California, Davis, California 95616 USASearch for more papers by this author First published: 01 June 2005 https://doi.org/10.1890/04-1351Citations: 22 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Abstract Individual growth rate of animals is increasingly used as an indicator of ecological stressors. Environmental contaminants often affect physiological processes within individuals, which in turn affect the animal's growth rate. Consequently, there is an increasing need to estimate parameters in physiologically based individual growth models. Here, we present a method for estimating parameters in an energetic-based individual growth model (a dynamic energy budget model). This model is a system of stochastic differential equations in which one of the state variables (the energy reserve) is unobservable. There is no analytical solution to the probability density of size at given age, so we use a numerical nonlinear state–space method to calculate the likelihood. An algorithm to calculate the likelihood is outlined in this paper. This method is general enough to apply to other stochastic differential equation models. We assessed the estimability of parameters in the individual growth model, and analyzed size trajectory data from delta smelt (Hypomesus transpacificus). 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