Characterization of stage-classified biological processes using multinomial models: A case study of anchovy (Engraulis encrasicolus) eggs in the Bay of Biscay

Leire Ibaibarriaga, Miguel Bernal, Lorenzo Motos, Andrés Uriarte, David L. Borchers, Mike E. Lonergan, Simon N. Wood

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

This paper describes how multinomial models can be used to study developmental rates of biological processes and how these are affected by different factors such as temperature or parental effects. First, the most common multinomial models for ordinal categorical data (namely, proportional odds, continuation-ratio, and extended continuation-ratio models) are described within the particular framework of developmental rates for discrete and ordered stage classified biological processes. Then, the extraction from the fitted models of a series of biologically meaningful parameters is proposed. In particular, maximum probable age and several alternative definitions for stage duration are presented and pros and cons of each of them are discussed. As an example, the methodology is applied to analyze the temperature dependent development of anchovy (Engraulis encrasicolus) eggs in the Bay of Biscay.

Original languageEnglish
Pages (from-to)539-553
Number of pages15
JournalCanadian Journal of Fisheries and Aquatic Sciences
Volume64
Issue number3
DOIs
Publication statusPublished - 1 Mar 2007

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