Seasonal modulation of phytoplankton biomass in the Southern Ocean.
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
23 10 2020
23 10 2020
Historique:
received:
22
11
2019
accepted:
28
09
2020
entrez:
24
10
2020
pubmed:
25
10
2020
medline:
11
11
2020
Statut:
epublish
Résumé
Over the last ten years, satellite and geographically constrained in situ observations largely focused on the northern hemisphere have suggested that annual phytoplankton biomass cycles cannot be fully understood from environmental properties controlling phytoplankton division rates (e.g., nutrients and light), as they omit the role of ecological and environmental loss processes (e.g., grazing, viruses, sinking). Here, we use multi-year observations from a very large array of robotic drifting floats in the Southern Ocean to determine key factors governing phytoplankton biomass dynamics over the annual cycle. Our analysis reveals seasonal phytoplankton accumulation ('blooming') events occurring during periods of declining modeled division rates, an observation that highlights the importance of loss processes in dictating the evolution of the seasonal cycle in biomass. In the open Southern Ocean, the spring bloom magnitude is found to be greatest in areas with high dissolved iron concentrations, consistent with iron being a well-established primary limiting nutrient in this region. Under ice observations show that biomass starts increasing in early winter, well before sea ice begins to retreat. The average theoretical sensitivity of the Southern Ocean to potential changes in seasonal nutrient and light availability suggests that a 10% change in phytoplankton division rate may be associated with a 50% reduction in mean bloom magnitude and annual primary productivity, assuming simple changes in the seasonal magnitude of phytoplankton division rates. Overall, our results highlight the importance of quantifying and accounting for both division and loss processes when modeling future changes in phytoplankton biomass cycles.
Identifiants
pubmed: 33097697
doi: 10.1038/s41467-020-19157-2
pii: 10.1038/s41467-020-19157-2
pmc: PMC7584623
doi:
Substances chimiques
Chlorophyll
1406-65-1
Carbon
7440-44-0
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
5364Références
Ecology. 2010 Apr;91(4):977-89
pubmed: 20462113
Ann Rev Mar Sci. 2013;5:217-46
pubmed: 22881354
Appl Environ Microbiol. 2002 Mar;68(3):1015-24
pubmed: 11872445
Proc Natl Acad Sci U S A. 2009 Dec 8;106(49):20602-9
pubmed: 19995981
Nature. 2004 Jan 1;427(6969):56-60
pubmed: 14702082
Ann Rev Mar Sci. 2019 Jan 3;11:159-186
pubmed: 30212259
Photosynth Res. 1994 Mar;39(3):275-301
pubmed: 24311126
Glob Chang Biol. 2018 Jan;24(1):55-77
pubmed: 28787760
Nat Commun. 2018 Jan 15;9(1):190
pubmed: 29335403
Science. 2012 Jun 15;336(6087):1408
pubmed: 22678359
Science. 2007 Feb 2;315(5812):612-7
pubmed: 17272712