Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/20990
Title: The application of multivariate analytical techniques to the study of marine benthic assemblages : a review with special reference to the Maltese Islands
Authors: Micallef, Rene M.
Schembri, Patrick J.
Keywords: Marine biodiversity -- Malta
Biotic communities -- Malta
Marine biodiversity -- Research
Marine biodiversity conservation -- Malta
Issue Date: 1998
Publisher: Malta Chamber of Scientists
Citation: Micallef, R. M., & Schembri, P. J. (1998). The application of multivariate analytical techniques to the study of marine benthic assemblages : a review with special reference to the Maltese Islands. Xjenza, 3(2), 9-28.
Abstract: In recent years there have been numerous studies made on the marine benthic assemblages of Maltese coastal waters, either as elements of the seascape, or in order to gain an understanding of the nature of these assemblages and of the factors which structure them, or to assess the potential of such assemblages as indicators of environmental change, principally that due to anthropogenic activities. The massive data sets generated by such studies can realistically only be analysed objectively using an array of sophisticated statistical techniques that it has only been possible to apply now that powerful computers are readily available. Starting with the basics of data analysis, this paper reviews the statistical techniques currently used for the analysis of benthic assemblages, particularly those that have been found suitable for the type and character of data from the Mediterranean. Emphasis is placed on multivariate techniques, since benthic data are usually highly multivariate. A brief review of the development of these techniques and of their application to benthic ecological research is also given. The objective is to provide a guide to techniques and to the literature which local workers may find useful as a starting point when designing an experimental, data collection, or analytical protocol.
URI: https://www.um.edu.mt/library/oar//handle/123456789/20990
ISSN: 18187250
18187269
Appears in Collections:Scholarly Works - FacSciBio

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