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Includes bibliographical references.
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| Format: | Thesis |
| Language: | English |
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Department of Statistical Sciences
2014
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| _version_ | 1867613751105028096 |
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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 |