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Abstract
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.
This study uses global datasets of marine prokaryotes to reveal that prokaryotic biomass varies by just under 3-fold across the global surface ocean, while metabolic activity increases by more than one order of magnitude from polar to tropical coastal and upwelling regions. The findings also suggest that shifts under climate change could lead to an increasingly microbial-dominated ocean.
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1 Griffith University, Australian Rivers Institute, School of Environment and Science, Nathan, Australia (GRID:grid.1022.1) (ISNI:0000 0004 0437 5432); University of the Sunshine Coast, School of Science, Technology and Engineering, Moreton Bay, Australia (GRID:grid.1034.6) (ISNI:0000 0001 1555 3415); Queensland University of Technology, School of Mathematical Sciences, Brisbane, Australia (GRID:grid.1024.7) (ISNI:0000 0000 8915 0953)
2 University of Adelaide, Kaurna Country, School of Computer and Mathematical Sciences, Adelaide, Australia (GRID:grid.1010.0) (ISNI:0000 0004 1936 7304)
3 Institut de Ciències del Mar-CSIC, Barcelona, Spain (GRID:grid.418218.6) (ISNI:0000 0004 1793 765X)
4 University of Vienna, Djerassiplatz 1, Department of Functional and Evolutionary Ecology, Vienna, Austria (GRID:grid.10420.37) (ISNI:0000 0001 2286 1424); Royal Netherlands Institute for Sea Research, NIOZ, Department of Marine Microbiology and Biogeochemistry, Den Burg, The Netherlands (GRID:grid.10914.3d) (ISNI:0000 0001 2227 4609)
5 CSIC), Centro Oceanográfico de Gijón/Xixón (IEO, Gijón/Xixón, Spain (GRID:grid.10914.3d)
6 Universitat Autònoma de Barcelona, Institute of Environmental Science and Technology (ICTA-UAB), Barcelona, Spain (GRID:grid.7080.f) (ISNI:0000 0001 2296 0625); McGill University, Department of Earth and Planetary Sciences, Montreal, Canada (GRID:grid.14709.3b) (ISNI:0000 0004 1936 8649)