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Getting all information out of logbooks: estimating banana prawn fishable biomass, catchability, and fishing power increase, with a focus on natural mortality

Zhou, Shijie, Buckworth, Rik C., Ellis, Nick, Deng, Roy A. and Pascoe, Sean (2015). Getting all information out of logbooks: estimating banana prawn fishable biomass, catchability, and fishing power increase, with a focus on natural mortality. ICES Journal of Marine Science,72(1):54-61.

Document type: Journal Article
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IRMA ID 84376995xPUB60
Title Getting all information out of logbooks: estimating banana prawn fishable biomass, catchability, and fishing power increase, with a focus on natural mortality
Author Zhou, Shijie
Buckworth, Rik C.
Ellis, Nick
Deng, Roy A.
Pascoe, Sean
Journal Name ICES Journal of Marine Science
Publication Date 2015
Volume Number 72
Issue Number 1
ISSN 1054-3139   (check CDU catalogue open catalogue search in new window)
Scopus ID 2-s2.0-84922474793
Start Page 54
End Page 61
Total Pages 8
Place of Publication United Kingdom
Publisher Oxford University Press
Field of Research 0704 - Fisheries Sciences
HERDC Category C1 - Journal Article (DIISR)
Abstract Biomass, catchability, and natural mortality are key parameters in fish stock assessment. Yet, it is difficult to estimate these quantities, especially natural mortality, when only fishery data are available. Using a method of population depletion analysis, we estimated these population and biological quantities for the white banana prawn (Penaeus merguiensis) in Australia's valuable Northern Prawn Fishery. In addition, we directly included fishing power change over time. The models were implemented in a Bayesian framework by incorporating process error, observation error, and random variability for the underlying parameters. The posterior median initial fishable biomass ranged from ∼2000 to 7000 t year−1, and the median catchability varied from ∼3.8 × 10−4 to 7.3 × 10−4 boat-day−1, resulting in an average fishing power increase of 2.6% per year. An unexpected result is the estimate of exponential natural mortality rate of ∼0.03 week−1. This value is substantially lower than an earlier estimate of 0.05 week−1, which was based on a single year's fishery data in one stock region and has been widely used for over four decades without validation. We attribute this low natural mortality estimate mainly to prawn aggregation behaviour.
Keywords Bayesian
de Lury
fishing efficiency
invertebrate
Leslie
predation
schooling
DOI http://dx.doi.org/10.1093/icesjms/fsu013   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
 
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Created: Tue, 26 Jul 2016, 12:54:25 CST