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Bibliography: leaves 90-95.
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| Format: | Thesis |
| Language: | English |
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Department of Biological Sciences
2014
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| _version_ | 1867613240098291712 |
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| access_status_str | Open Access |
| author | Savage, Candida |
| author2 | Field, John G |
| author_browse | Field, John G Savage, Candida |
| author_facet | Field, John G Savage, Candida |
| author_sort | Savage, Candida |
| collection | Thesis |
| description | Bibliography: leaves 90-95. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/9272 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:58.612Z |
| 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 Biological Sciences |
| publisherStr | Department of Biological Sciences |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/9272 Multivariate analyses of the impact of offshore marine mining on the benthic macrofauna off the west coast of Southern Africa Savage, Candida Field, John G Wickens, Patti Zoology Bibliography: leaves 90-95. The strategy for analysing multivariate data presented by Field et. al. (1982) was tested for its sensitivity in detecting the effects of offshore marine mining on macrobenthic communities. The technique has proven to be particularly sensitive and robust in elucidating changes in the structure of marine communities following organic pollution events. The primary aim of this study was to investigate its applicability in discerning community changes in an area exposed to physical disturbance of the seabed. Statistical testing, using analysis of similarities, reveals a highly significant difference between mined and unmined samples. Statistical testing also detects natural spatial heterogeneity across the 6 study areas. Aggregation of the data to higher taxonomic levels did not result in the loss of information, and in fact, improved the resolution of the community patterns. Multivariate analyses were therefore performed using the community data aggregated to genus-level. Hierarchical agglomerative clustering reveals two major groups of samples, the mined and the unmined samples. 2014-11-05T17:41:22Z 2014-11-05T17:41:22Z 1996 Master Thesis Masters MSc http://hdl.handle.net/11427/9272 eng application/pdf Department of Biological Sciences Faculty of Science University of Cape Town |
| spellingShingle | Zoology Savage, Candida Multivariate analyses of the impact of offshore marine mining on the benthic macrofauna off the west coast of Southern Africa |
| thesis_degree_str | Master's |
| title | Multivariate analyses of the impact of offshore marine mining on the benthic macrofauna off the west coast of Southern Africa |
| title_full | Multivariate analyses of the impact of offshore marine mining on the benthic macrofauna off the west coast of Southern Africa |
| title_fullStr | Multivariate analyses of the impact of offshore marine mining on the benthic macrofauna off the west coast of Southern Africa |
| title_full_unstemmed | Multivariate analyses of the impact of offshore marine mining on the benthic macrofauna off the west coast of Southern Africa |
| title_short | Multivariate analyses of the impact of offshore marine mining on the benthic macrofauna off the west coast of Southern Africa |
| title_sort | multivariate analyses of the impact of offshore marine mining on the benthic macrofauna off the west coast of southern africa |
| topic | Zoology |
| url | http://hdl.handle.net/11427/9272 |
| work_keys_str_mv | AT savagecandida multivariateanalysesoftheimpactofoffshoremarineminingonthebenthicmacrofaunaoffthewestcoastofsouthernafrica |