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Using an inverse-logistic model to describe growth increments of blacklip abalone (Haliotis rubra) in Tasmania


Haddon, M and Mundy, CN and Tarbath, D, Using an inverse-logistic model to describe growth increments of blacklip abalone (Haliotis rubra) in Tasmania, Fishery Bulletin, 106, (1) pp. 58-71. ISSN 0090-0656 (2008) [Refereed Article]


A new description of growth in blacklip abalone (Haliotis rubra) with the use of an inverse-logistic model is introduced. The inverse-logistic model avoids the disadvantageous assumptions of either rapid or slow growth for small and juvenile individuals implied by the von Bertalanffy and Gompertz growth models, respectively, and allows for indeterminate growth where necessary. An inverse-logistic model was used to estimate the expected mean growth increment for different blacklip abalone populations around southern Tasmania, Australia. Estimates of the time needed for abalone to grow from settlement until recruitment (at 138 mm shell length) into the fishery varied from eight to nine years. The variability of the residuals about the predicted mean growth increments was described with either a second inverse-logistic relationship (standard deviation vs. initial length) or by a power relationship (standard deviation vs. predicted growth increment). The inverse-logistic model can describe linear growth of small and juvenile abalone (as observed in Tasmania), as well as a spectrum of growth possibilities, from determinate to indeterminate growth (a spectrum that would lead to a spread of maximum lengths).

Item Details

Item Type:Refereed Article
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Fisheries sciences
Research Field:Aquaculture and fisheries stock assessment
Objective Division:Animal Production and Animal Primary Products
Objective Group:Fisheries - wild caught
Objective Field:Fisheries - wild caught not elsewhere classified
UTAS Author:Haddon, M (Associate Professor Malcolm Haddon)
UTAS Author:Mundy, CN (Dr Craig Mundy)
UTAS Author:Tarbath, D (Mr David Tarbath)
ID Code:50914
Year Published:2008
Web of Science® Times Cited:30
Deposited By:TAFI - Marine Research Laboratory
Deposited On:2008-03-28
Last Modified:2009-04-22

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