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Robben Island penguin pressure model: a decision support tool for an ecosystems approach to fisheries management

Includes bibliographical references.

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Bibliographic Details
Main Author: Cecchini, Lee-Anne
Other Authors: Scott, Leanne
Format: Thesis
Language:English
Published: Department of Statistical Sciences 2014
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access_status_str Open Access
author Cecchini, Lee-Anne
author2 Scott, Leanne
author_browse Cecchini, Lee-Anne
Scott, Leanne
author_facet Scott, Leanne
Cecchini, Lee-Anne
author_sort Cecchini, Lee-Anne
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/10212
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:41:07.396Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Statistical Sciences
publisherStr Department of Statistical Sciences
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/10212 Robben Island penguin pressure model: a decision support tool for an ecosystems approach to fisheries management Cecchini, Lee-Anne Scott, Leanne Stewart, Theodore Jarre, Astrid Statistical Science Includes bibliographical references. The African penguin (Spheniscus demersus) population in southern Africa has declined from approximately 575 000 adults at the start of the 20th century to 180 000 adults in the early 1990s. The population is still declining, leading to the International Union for the Conservation of Nature upgrading the status of African penguins to Endangered on the Red List of Threatened Species. This dissertation uses a systems dynamics approach to produce a model incorporating all important pressures. The model is stochastic and spatially explicit, and uses expert opinion where data are not available. The model has been produced and revised with the help of the Penguin Modelling Group, based at the University of Cape Town. The modelling process culminated in a workshop where participants experimented with the model themselves. The model in this dissertation is only applicable to the penguin population on Robben Island and, as such, conclusions drawn cannot necessarily be applied to other penguin colonies. 2014-12-27T14:05:02Z 2014-12-27T14:05:02Z 2012 Master Thesis Masters MSc http://hdl.handle.net/11427/10212 eng application/pdf Department of Statistical Sciences Faculty of Science University of Cape Town
spellingShingle Statistical Science
Cecchini, Lee-Anne
Robben Island penguin pressure model: a decision support tool for an ecosystems approach to fisheries management
thesis_degree_str Master's
title Robben Island penguin pressure model: a decision support tool for an ecosystems approach to fisheries management
title_full Robben Island penguin pressure model: a decision support tool for an ecosystems approach to fisheries management
title_fullStr Robben Island penguin pressure model: a decision support tool for an ecosystems approach to fisheries management
title_full_unstemmed Robben Island penguin pressure model: a decision support tool for an ecosystems approach to fisheries management
title_short Robben Island penguin pressure model: a decision support tool for an ecosystems approach to fisheries management
title_sort robben island penguin pressure model a decision support tool for an ecosystems approach to fisheries management
topic Statistical Science
url http://hdl.handle.net/11427/10212
work_keys_str_mv AT cecchinileeanne robbenislandpenguinpressuremodeladecisionsupporttoolforanecosystemsapproachtofisheriesmanagement