Estimation of seasonal growth parameters using a stochastic Gompertz model for tagging data

This paper addresses the problem of growth estimation from tagging data that exhibit large heterogeneity in size-increments. Precision in growth estimation is essential for stock assessment, especially for abalone fisheries, because they are managed in part by size limits. However, abalone growth is...

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Veröffentlicht in:Journal of shellfish research 1998-12, Vol.17 (3), p.833-838
Hauptverfasser: Troynikov, V S, Day, R W, Leorke, A M
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Sprache:eng
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