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Multivariate analyses of the impact of offshore marine mining on the benthic macrofauna off the west coast of Southern Africa

Bibliography: leaves 90-95.

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Bibliographic Details
Main Author: Savage, Candida
Other Authors: Field, John G
Format: Thesis
Language:English
Published: Department of Biological Sciences 2014
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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
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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