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Using non-linear analysis to compare the spatial structure of chlorophyll with passive tracers


Strutton, PG and Mitchell, JG and Parslow, JS, Using non-linear analysis to compare the spatial structure of chlorophyll with passive tracers, Journal of Plankton Research, 19, (10) pp. 1553-1564. ISSN 0142-7873 (1997) [Refereed Article]

Copyright Statement

Copyright 1997 Oxford University Press

DOI: doi:10.1093/plankt/19.10.1553


A form of non-linear analysis, termed the near-neighbour algorithm, was applied to transects of chlorophyll and salinity collected off eastern Antarctica in the Austral summer of 1995/96. The near-neighbour algorithm was initially developed to detect chaos in time series, but was applied here to compare the spatial structure of chlorophyll, a non-conservative tracer, with that of a conservative tracer, salinity. The validity of such an application is discussed in the context of the literature and as a complementary approach to traditional methods such as autocorrelation and spectral analysis. The results indicate that the spatial structure of salinity could be classified as non-linear in nature. The structure of chlorophyll at corresponding spatial scales contains a stochastic component, and it is postulated that this is caused by biological factors, specifically net phytoplankton growth. The potential for expanded, more detailed analyses is discussed, and parallels are drawn between the current state of non-linear analysis in biological oceanography and the development of spectral analysis over the last three decades.

Item Details

Item Type:Refereed Article
Keywords:phytoplankton, spatial structure
Research Division:Earth Sciences
Research Group:Oceanography
Research Field:Biological oceanography
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the earth sciences
UTAS Author:Strutton, PG (Professor Peter Strutton)
ID Code:138649
Year Published:1997
Web of Science® Times Cited:7
Deposited By:Oceans and Cryosphere
Deposited On:2020-04-20
Last Modified:2020-07-24

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