environmental health marine biology microbial ecology
Heterotrophic Bacteria and Archaea (prokaryotes) are a major component of marine food webs and global biogeochemical cycles. Yet, there is limited understanding about how prokaryotes vary across global environmental gradients, and how their global abundance and metabolic activity (production and respiration) may be affected by climate change. Using global datasets of prokaryotic abundance, cell carbon and metabolic activity we reveal that mean prokaryotic biomass varies by just under 3-fold across the global surface ocean, while total prokaryotic metabolic activity increases by more than one order of magnitude from polar to tropical coastal and upwelling regions. Under climate change, global prokaryotic biomass in surface waters is projected to decline ~1.5% per °C of warming, while prokaryotic respiration will increase ~3.5% ( ~ 0.85 Pg C yr−1). The rate of prokaryotic biomass decline is one-third that of zooplankton and fish, while the rate of increase in prokaryotic respiration is double. This suggests that future, warmer oceans could be increasingly dominated by prokaryotes, diverting a growing proportion of primary production into microbial food webs and away from higher trophic levels as well as reducing the capacity of the deep ocean to sequester carbon, all else being equal.
Details
Title
The global distribution and climate resilience of marine heterotrophic prokaryotes
Authors
Ryan Heneghan (Corresponding Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
Jacinta Holloway-Brown (Author) - The University of Adelaide
Josep Gasol (Author) - Institute of Marine Sciences
Gerhard Herndl (Author) - University of Vienna
Xosé Anxelu Morán (Author) - Instituto Español de Oceanografía
Eric Galbraith (Author) - McGill University
Publication details
Nature Communications, Vol.15, pp.1-11
Publisher
Nature Publishing Group
Date published
2024
DOI
10.1038/s41467-024-50635-z
ISSN
2041-1723
Copyright note
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Data Availability
See article for data availability.
Grant note
G.J.H. was supported by the Austrian Science Fund (FWF) project. DEPOCA AP3558721. J.M.G. by project PID2021-125469NB-C31 of the Spanish Ministry of Science and Innovation, and by the Severo Ochoa Centre of Excellence accreditation CEX2019-000928-S. This project was supported by the Canada Research Chairs Program fund number CRC-2020-00108 to E.D.G. The project CSD2008-00077 supported the collection of the Malaspina dataset (J.M.G. and X.A.G.M.).