Analysis of seasonal growth through the application of a multiple linear regression model on data from tag-and-recapture experiments
Abstract
When the Brody coefficient K is subject to temporal variation, data from tag-and-recapture experiments permit analysis of seasonal growth. Temporal values for K can be estimated without using a pre-determined oscillating function and the impact of seasonality on annual growth can be analyzed more realistically. The method is applicable to intra-annual intervals of single or multiple cohorts.
Article Details
- Zitationsvorschlag
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STAMATOPOULOS, C., & CADDY, J. (2010). Analysis of seasonal growth through the application of a multiple linear regression model on data from tag-and-recapture experiments. Mediterranean Marine Science, 11(1), 143–154. https://doi.org/10.12681/mms.97
- Ausgabe
- Bd. 11 Nr. 1 (2010)
- Rubrik
- Research Article
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