Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data

Type Article
Date 2014-10
Language English
Author(s) Soppa Mariana A.1, Hirata Takafumi2, 3, Silva Brenner4, Dinter Tilman1, 5, Peeken Ilka1, 6, Wiegmann Sonja1, Bracher Astrid1, 5
Affiliation(s) 1 : Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, D-27570 Bremerhaven, Germany.
2 : Hokkaido Univ, Fac Environm Earth Sci, Kita Ku, Sapporo, Hokkaido 0600810, Japan.
3 : Japan Sci & Technol Agcy, CREST, Kita Ku, Sapporo, Hokkaido 0600810, Japan.
4 : Univ Marburg, Lab Climatol & Remote Sensing, D-35037 Marburg, Germany.
5 : Univ Bremen, Inst Environm Phys, D-28359 Bremen, Germany.
6 : MARUM Ctr Marine Environm Sci, D-28359 Bremen, Germany.
Source Remote Sensing (2072-4292) (Mdpi Ag), 2014-10 , Vol. 6 , N. 10 , P. 10089-10106
DOI 10.3390/rs61010089
WOS© Times Cited 34
Keyword(s) ocean colour, phytoplankton functional types, diatom, remote sensing, chlorophyll-a
Abstract Diatoms are the major marine primary producers on the global scale and, recently, several methods have been developed to retrieve their abundance or dominance from satellite remote sensing data. In this work, we highlight the importance of the Southern Ocean (SO) in developing a global algorithm for diatom using an Abundance Based Approach (ABA). A large global in situ data set of phytoplankton pigments was compiled, particularly with more samples collected in the SO. We revised the ABA to take account of the information on the penetration depth (Z(pd)) and to improve the relationship between diatoms and total chlorophyll-a (TChla). The results showed that there is a distinct relationship between diatoms and TChla in the SO, and a new global model (ABA(Zpd)) improved the estimation of diatoms abundance by 28% in the SO compared with the original ABA model. In addition, we developed a regional model for the SO which further improved the retrieval of diatoms by 17% compared with the global ABA(Zpd) model. As a result, we found that diatom may be more abundant in the SO than previously thought. Linear trend analysis of diatom abundance using the regional model for the SO showed that there are statistically significant trends, both increasing and decreasing, in diatom abundance over the past eleven years in the region.
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Soppa Mariana A., Hirata Takafumi, Silva Brenner, Dinter Tilman, Peeken Ilka, Wiegmann Sonja, Bracher Astrid (2014). Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data. Remote Sensing, 6(10), 10089-10106. Publisher's official version : , Open Access version :