, Volume 33, Issue 2, pp 428-439
Date: 21 Apr 2009

Diagnostic Properties of Phytoplankton Time Series from Remote Sensing

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Abstract

Remote sensing provides our only window into the phytoplankton community on synoptic scales, permitting the construction of spatially distributed time series of biomass indexed as chlorophyll concentration. Data from the SeaWiFS mission have accumulated to the point where they meet the criterion of a 10-year series. The seasonal phytoplankton cycle is the dominant mode of temporal variability. The time series can be used to construct a variety of ecological indicators of the pelagic system useful in ecosystem-based management. These are reviewed and examples of their implementation are presented. Phenology of phytoplankton blooms is given particular attention. Interannual variation in some of the indicators is strong, presumably a response to variation in large-scale forcing. Examination of the results in the context of a simple phytoplankton-nutrient model enhances the interpretation. Remote sensing imagery also lends itself to the retrieval of information on community structure, in addition to biomass. More information will be recovered from satellite imagery if the remote-sensing program is coupled closely to a ship program on which appropriate bio-optical observations are made. The data series can be distilled to yield concise descriptions of the unfolding of ecosystem characteristics through time.

This work was supported by the Canadian Space Agency (GRIP and EOPI programmes) and by Discovery Grants to TP and SS from the Natural Sciences and Engineering Research Council of Canada. This work is also a contribution to the NCEO and Oceans 2025 programmes of the Natural Environment Research Council (UK).