The phenology of phytoplankton blooms: ecosystems indicators from remote sensing
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 phe...
Published in: | Ecological Modelling |
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ftunivreading:oai:centaur.reading.ac.uk:33697 2024-06-23T07:55:40+00:00 The phenology of phytoplankton blooms: ecosystems indicators from remote sensing Platt, T. White III, G. N. Zhai, L. Sathyendranath, S. Roy, S. 2009 https://centaur.reading.ac.uk/33697/ unknown Elsevier Platt, T., White III, G. N., Zhai, L., Sathyendranath, S. and Roy, S. <https://centaur.reading.ac.uk/view/creators/90005425.html> orcid: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: https://doi.org/10.1016/j.ecolmodel.2008.11.022 <https://doi.org/10.1016/j.ecolmodel.2008.11.022> Article PeerReviewed 2009 ftunivreading https://doi.org/10.1016/j.ecolmodel.2008.11.022 2024-06-11T15:01:09Z 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. Article in Journal/Newspaper Northwest Atlantic CentAUR: Central Archive at the University of Reading Ecological Modelling 220 21 3057 3069 |
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Open Polar |
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CentAUR: Central Archive at the University of Reading |
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ftunivreading |
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description |
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. |
format |
Article in Journal/Newspaper |
author |
Platt, T. White III, G. N. Zhai, L. Sathyendranath, S. Roy, S. |
spellingShingle |
Platt, T. White III, G. N. Zhai, L. Sathyendranath, S. Roy, S. The phenology of phytoplankton blooms: ecosystems indicators from remote sensing |
author_facet |
Platt, T. White III, G. N. Zhai, L. Sathyendranath, S. Roy, S. |
author_sort |
Platt, T. |
title |
The phenology of phytoplankton blooms: ecosystems indicators from remote sensing |
title_short |
The phenology of phytoplankton blooms: ecosystems indicators from remote sensing |
title_full |
The phenology of phytoplankton blooms: ecosystems indicators from remote sensing |
title_fullStr |
The phenology of phytoplankton blooms: ecosystems indicators from remote sensing |
title_full_unstemmed |
The phenology of phytoplankton blooms: ecosystems indicators from remote sensing |
title_sort |
phenology of phytoplankton blooms: ecosystems indicators from remote sensing |
publisher |
Elsevier |
publishDate |
2009 |
url |
https://centaur.reading.ac.uk/33697/ |
genre |
Northwest Atlantic |
genre_facet |
Northwest Atlantic |
op_relation |
Platt, T., White III, G. N., Zhai, L., Sathyendranath, S. and Roy, S. <https://centaur.reading.ac.uk/view/creators/90005425.html> orcid: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: https://doi.org/10.1016/j.ecolmodel.2008.11.022 <https://doi.org/10.1016/j.ecolmodel.2008.11.022> |
op_doi |
https://doi.org/10.1016/j.ecolmodel.2008.11.022 |
container_title |
Ecological Modelling |
container_volume |
220 |
container_issue |
21 |
container_start_page |
3057 |
op_container_end_page |
3069 |
_version_ |
1802648337588944896 |