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An absorption‐based approach to improved estimates of phytoplankton biomass and net primary production

Authors :
James Fox
Sasha J. Kramer
Jason R. Graff
Michael J. Behrenfeld
Emmanuel Boss
Gavin Tilstone
Kimberly H. Halsey
Source :
Limnology and Oceanography Letters, Vol 7, Iss 5, Pp 419-426 (2022)
Publication Year :
2022
Publisher :
Wiley, 2022.

Abstract

Abstract The abundance and productivity of phytoplankton constrain energy transfer through marine food webs and the export of organic carbon to the deep ocean. Bio‐optical measurements correlate well with phytoplankton carbon (Cphyto), but the effect of taxonomic variability on this relationship is still uncertain. Here, we explore how changes in phytoplankton community composition influence the relationship between the particulate backscatter coefficient (bbp) and Cphyto and present a new approach to estimate phytoplankton biomass more accurately using bbp. We found that using a fixed scaling factor for the conversion of bbp to Cphyto could lead to the underestimation or overestimation of biomass, depending on the dominant taxonomic group in the phytoplankton community. In addition, we demonstrate how a simple ratio of absorption at two wavelengths can be used to provide a coarse approximation of phytoplankton community composition when scaling bbp to Cphyto, thereby improving the estimation of net primary production.

Subjects

Subjects :
Oceanography
GC1-1581

Details

Language :
English
ISSN :
23782242
Volume :
7
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Limnology and Oceanography Letters
Publication Type :
Academic Journal
Accession number :
edsdoj.309b7a45d8e24d35b2a4a069b59a7c2b
Document Type :
article
Full Text :
https://doi.org/10.1002/lol2.10275