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) ; Simmons, Phillip (supervisor); Gondro, Cedric (supervisor) ; 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:
File | Description | Size | Format | |
---|---|---|---|---|
open/MARCXML.xml | MARCXML.xml | 2.43 kB | Unknown | View/Open |
open/SOURCE03.pdf | Abstract | 402.76 kB | Adobe PDF Download Adobe | View/Open |
open/SOURCE04.pdf | Thesis | 3.25 MB | Adobe PDF Download Adobe | View/Open |
Page view(s)
3,606
checked on Nov 17, 2024
Download(s)
488
checked on Nov 17, 2024
Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.