Catchpole, Edward A., Freeman, Stephen N., Morgan, Byron J. T., Nash, W.J. (2001) Abalone I: Analyzing Mark-Recapture-Recovery Data Incorporating Growth and Delayed Recovery. Biometrics, 57 (2). pp. 469-477. ISSN 0006-341X. (doi:10.1111/j.0006-341X.2001.00469.x) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:10495)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1111/j.0006-341X.2001.00469.x |
Abstract
Abalone are semimobile marine gastropods that form the basis of Australia's second most valuable fishery. A site off the coast of Port Arthur. Tasmania, was visited on six occasions. On each occasion, any unmarked live abalone found were marked with a unique identification number and were recorded. Any previously marked abalone found had its identification number and whether or not it was still alive recorded. This results in integrated mark-recapture-recovery data, as in Catchpole et al. (1998, Biometrics 54, 33-46). During the study period, abalone grew in size, and we model the survival of individuals as a function of their size? estimated from a fitted growth curve. The shells of dead animals are long lasting, and we extend existing methodology to allow for the possibility that an animal found dead may have been dead but overlooked for several visits.
Item Type: | Article |
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DOI/Identification number: | 10.1111/j.0006-341X.2001.00469.x |
Uncontrolled keywords: | abalone; delayed recovery; growth; integrated data; mark-recapture-recovery analysis; migration; size dependency SURVIVAL; POPULATIONS; ANIMALS; MODEL |
Subjects: | Q Science > QA Mathematics (inc Computing science) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
Depositing User: | Judith Broom |
Date Deposited: | 06 Nov 2008 19:21 UTC |
Last Modified: | 05 Nov 2024 09:43 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/10495 (The current URI for this page, for reference purposes) |
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