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The phenology of phytoplankton blooms: ecosystems indicators from remote sensing

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Platt, T., White III, G. N., Zhai, L., Sathyendranath, S. and Roy, S. orcid id iconORCID: https://orcid.org/0000-0003-2543-924X (2009) The phenology of phytoplankton blooms: ecosystems indicators from remote sensing. Ecological Modelling, 220 (21). pp. 3057-3069. ISSN 0304-3800 doi: 10.1016/j.ecolmodel.2008.11.022

Abstract/Summary

Remote sensing offers many advantages in the development of ecosystem indicators for the pelagic zone of the ocean. Particularly suitable in this context are the indicators arising from time series that can be constructed from remotely sensed data. For example, using ocean-colour radiometry, the phenology of phytoplankton blooms can be assessed. Metrics defined in this way show promise as informative indicators for the entire pelagic ecosystem. A simple phytoplankton–substrate model, with forcing dependent on latitude and day number is used to explore the qualitative features of bloom phenology for comparison with the results observed in a suite of 10-year time series of chlorophyll concentration, as assessed by remote sensing, from the Northwest Atlantic Ocean. The model reveals features of the dynamics that might otherwise have been overlooked in evaluation of the observational data.

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Additional Information Selected Papers from the Sixth European Conference on Ecological Modelling - ECEM '07, on Challenges for ecological modelling in a changing world: Global Changes, Sustainability and Ecosystem Based Management, November 27-30, 2007, Trieste, Italy
Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/33697
Item Type Article
Refereed Yes
Divisions No Reading authors. Back catalogue items
Science > School of Archaeology, Geography and Environmental Science > Earth Systems Science
Science > School of Archaeology, Geography and Environmental Science > Department of Geography and Environmental Science
Uncontrolled Keywords Phytoplankton blooms; Ecosystem indicators; Lotka–Volterra; Remote sensing
Additional Information Selected Papers from the Sixth European Conference on Ecological Modelling - ECEM '07, on Challenges for ecological modelling in a changing world: Global Changes, Sustainability and Ecosystem Based Management, November 27-30, 2007, Trieste, Italy
Publisher Elsevier
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