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The application of general linear modelling methods to estimate trends in abundance of the hake and rock lobster stocks off South Africa

Bibliography: pages 162-178.

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Bibliographic Details
Main Author: Glazer, Jean Patricia
Other Authors: Butterworth, Doug S
Format: Thesis
Language:English
Published: Department of Mathematics and Applied Mathematics 2016
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access_status_str Open Access
author Glazer, Jean Patricia
author2 Butterworth, Doug S
author_browse Butterworth, Doug S
Glazer, Jean Patricia
author_facet Butterworth, Doug S
Glazer, Jean Patricia
author_sort Glazer, Jean Patricia
collection Thesis
description Bibliography: pages 162-178.
format Thesis
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:59.204Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2016
publishDateRange 2016
publishDateSort 2016
publisher Department of Mathematics and Applied Mathematics
publisherStr Department of Mathematics and Applied Mathematics
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/16395 The application of general linear modelling methods to estimate trends in abundance of the hake and rock lobster stocks off South Africa Glazer, Jean Patricia Butterworth, Doug S Mathematics and Applied Mathematics Bibliography: pages 162-178. The two species of Cape hake, Merluccius capensis (shallow-water hake) and M paradoxus (deepwater hake), fomi the mainstay of the bottom trawl industry off South Africa and constitute the country's most valuable fishery. It is therefore important that the status of this resource be assessed regularly to ensure that exploitation is at a sustainable level. The two Cape hake species are morphologically similar and no distinction is made between them in commercial catch statistics. Consequently, for assessment purposes, the Cape hakes are treated as a single species. It is assumed that two stocks of Cape hake exist, one off the West Coast and another off the South Coast of South Africa. Central to the assessments of these stocks are the catch per unit effort (CPUE) data because it assumed that CPUE is proportional to abundance. The nominal CPUE (hake catch divided by actual time trawled) for both the West and South Coast stocks has shown a steady growth over the period 1978 - 1994, increasing at a rate of 3.8% per annum on the West Coast and 4.2% per annum on the South Coast. The bulk of this thesis is concerned with determining whether these increases in CPUE are the result of an increasing biomass, or are rather, in part, the result of improved vessel efficiency due to technological advancement or of changes in fishing strategy. The existing CPUE time series had previously been standardised by means of applying power factors which were crudely estimated in the early 1970s and which are likely inappropriate for the current fishing fleets. These CPUE series have therefore been re-standardised by applying the internationally accepted approach of General Linear Modelling (GLM). 2016-01-15T14:15:10Z 2016-01-15T14:15:10Z 1999 Master Thesis Masters MSc http://hdl.handle.net/11427/16395 eng application/pdf Department of Mathematics and Applied Mathematics Faculty of Science University of Cape Town
spellingShingle Mathematics and Applied Mathematics
Glazer, Jean Patricia
The application of general linear modelling methods to estimate trends in abundance of the hake and rock lobster stocks off South Africa
thesis_degree_str Master's
title The application of general linear modelling methods to estimate trends in abundance of the hake and rock lobster stocks off South Africa
title_full The application of general linear modelling methods to estimate trends in abundance of the hake and rock lobster stocks off South Africa
title_fullStr The application of general linear modelling methods to estimate trends in abundance of the hake and rock lobster stocks off South Africa
title_full_unstemmed The application of general linear modelling methods to estimate trends in abundance of the hake and rock lobster stocks off South Africa
title_short The application of general linear modelling methods to estimate trends in abundance of the hake and rock lobster stocks off South Africa
title_sort application of general linear modelling methods to estimate trends in abundance of the hake and rock lobster stocks off south africa
topic Mathematics and Applied Mathematics
url http://hdl.handle.net/11427/16395
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