Monitoring marine phytoplankton seasonality from space. Demarcq, H., Reygondeau, G., Alvain, S., & Vantrepotte, V. Remote Sensing of Environment, 117:211--222, 2012. 00003![Monitoring marine phytoplankton seasonality from space [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Remote sensing techniques are used to study the large scale patterns related to the seasonal modes of variability of the marine phytoplankton. Ten years of monthly composite maps of sea surface chlorophyll-a concentration and the PHYSAT database of four Phytoplanktonic Functional Types (PFTs), both from SeaWiFS, are used to investigate characteristics of phytoplankton seasonality in the trades and westerlies wind oceanic biomes, where data density is adequate. We use a combination of wavelet transform and statistical techniques that allow us to quantify both intensity and duration of the seasonal oscillation of chlorophyll-a concentration and PFTs relative occurrence, and to map these relationships. Next, the seasonal oscillations detected are related to four PFTs revealing six major global phytoplanktonic associations. Our results elucidate the intensity and duration of the seasonal dynamic of the chlorophyll-a concentration and of the relative occurrence of four PFTs at a global scale. Thus, the typology of the different types of seasonality is investigated. Finally, an overall agreement between the results and the biogeochemical provinces partition proposed by Longhurst is found, revealing a strong environmental control on the seasonal oscillation of primary producers and a clear latitudinal organization in the succession of the phytoplankton types. Results provided in this study quantify the seasonal oscillation of key structural parameters of the global ocean, and their potential implications for our understanding of ecosystem dynamics.
@article{ demarcq_monitoring_2012,
title = {Monitoring marine phytoplankton seasonality from space},
volume = {117},
copyright = {Accès réservé (Intranet de l'{IRD})},
issn = {0034-4257},
url = {http://www.documentation.ird.fr/hor/fdi:010054416},
doi = {10.1016/j.rse.2011.09.019},
abstract = {Remote sensing techniques are used to study the large scale patterns related to the seasonal modes of variability of the marine phytoplankton. Ten years of monthly composite maps of sea surface chlorophyll-a concentration and the {PHYSAT} database of four Phytoplanktonic Functional Types ({PFTs}), both from {SeaWiFS}, are used to investigate characteristics of phytoplankton seasonality in the trades and westerlies wind oceanic biomes, where data density is adequate. We use a combination of wavelet transform and statistical techniques that allow us to quantify both intensity and duration of the seasonal oscillation of chlorophyll-a concentration and {PFTs} relative occurrence, and to map these relationships. Next, the seasonal oscillations detected are related to four {PFTs} revealing six major global phytoplanktonic associations. Our results elucidate the intensity and duration of the seasonal dynamic of the chlorophyll-a concentration and of the relative occurrence of four {PFTs} at a global scale. Thus, the typology of the different types of seasonality is investigated. Finally, an overall agreement between the results and the biogeochemical provinces partition proposed by Longhurst is found, revealing a strong environmental control on the seasonal oscillation of primary producers and a clear latitudinal organization in the succession of the phytoplankton types. Results provided in this study quantify the seasonal oscillation of key structural parameters of the global ocean, and their potential implications for our understanding of ecosystem dynamics.},
journal = {Remote Sensing of Environment},
author = {Demarcq, Hervé and Reygondeau, G. and Alvain, S. and Vantrepotte, V.},
year = {2012},
note = {00003},
keywords = {Biogeography, Phytoplankton, Phytoplankton Functional, Seasonal parameters, Surface chlorophyll concentration, Types, Wavelet transform, remote sensing, seasonality},
pages = {211--222}
}
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Next, the seasonal oscillations detected are related to four PFTs revealing six major global phytoplanktonic associations. Our results elucidate the intensity and duration of the seasonal dynamic of the chlorophyll-a concentration and of the relative occurrence of four PFTs at a global scale. Thus, the typology of the different types of seasonality is investigated. Finally, an overall agreement between the results and the biogeochemical provinces partition proposed by Longhurst is found, revealing a strong environmental control on the seasonal oscillation of primary producers and a clear latitudinal organization in the succession of the phytoplankton types. 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Ten years of monthly composite maps of sea surface chlorophyll-a concentration and the {PHYSAT} database of four Phytoplanktonic Functional Types ({PFTs}), both from {SeaWiFS}, are used to investigate characteristics of phytoplankton seasonality in the trades and westerlies wind oceanic biomes, where data density is adequate. We use a combination of wavelet transform and statistical techniques that allow us to quantify both intensity and duration of the seasonal oscillation of chlorophyll-a concentration and {PFTs} relative occurrence, and to map these relationships. Next, the seasonal oscillations detected are related to four {PFTs} revealing six major global phytoplanktonic associations. Our results elucidate the intensity and duration of the seasonal dynamic of the chlorophyll-a concentration and of the relative occurrence of four {PFTs} at a global scale. Thus, the typology of the different types of seasonality is investigated. Finally, an overall agreement between the results and the biogeochemical provinces partition proposed by Longhurst is found, revealing a strong environmental control on the seasonal oscillation of primary producers and a clear latitudinal organization in the succession of the phytoplankton types. 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