Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/16983
Title: A Bioeconomic Model for Management of Banana Prawns ('Penaeus merguiensis') in the Australian Northern Prawn Fishery
Contributor(s): De Souza, Simone Valle (author); Cacho, Oscar  (supervisor)orcid ; Simmons, Phillip  (supervisor); Gondro, Cedric  (supervisor)orcid ; Hean, Robyn (supervisor)
Conferred Date: 2014
Copyright Date: 2013
Open Access: Yes
Handle Link: https://hdl.handle.net/1959.11/16983
Abstract: This thesis describes the development of a bioeconomic model for estimation of the optimal level of exploitation for banana prawns ('Penaeus merguiensis') in the Gulf of Carpentaria, which is part of the Northern Prawn Fishery in Australia. The model is used to identify optimal levels of effort and catch to achieve sustainable and profitable exploitation. The main contribution of this work is the combination of methods used to model the fishery, which differs from other prawn fisheries in several respects, including their life and migration cycle and their aggregating behaviour. A stage-population matrix is developed to represent population growth and recruitment. The model is calibrated based on 18 years of daily catch data from logbooks and evolutionary algorithms are used to estimate unobservable parameters and to optimise management of the fishery.
Publication Type: Thesis Doctoral
Fields of Research (FoR) 2008: 140299 Applied Economics not elsewhere classified
Fields of Research (FoR) 2020: 380105 Environment and resource economics
Socio-Economic Objective (SEO) 2008: 910299 Microeconomics not elsewhere classified
Rights Statement: Copyright 2013 - Simone Valle De Souza
HERDC Category Description: T2 Thesis - Doctorate by Research
Appears in Collections:School of Environmental and Rural Science
Thesis Doctoral

Files in This Item:
10 files
File Description SizeFormat 
open/MARCXML.xmlMARCXML.xml2.43 kBUnknownView/Open
open/SOURCE03.pdfAbstract402.76 kBAdobe PDF
Download Adobe
View/Open
open/SOURCE04.pdfThesis3.25 MBAdobe PDF
Download Adobe
View/Open
1 2 Next
Show full item record

Page view(s)

3,094
checked on Jun 11, 2023

Download(s)

374
checked on Jun 11, 2023
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.