Knowledge Gaps in Quantifying the Climate Change Response of Biological Storage of Carbon in the Ocean

Henson, Stephanie ORCID: https://orcid.org/0000-0002-3875-6802; Baker, Chelsey A. ORCID: https://orcid.org/0000-0002-0840-2333; Halloran, Paul; McQuatters‐Gollop, Abigail; Painter, Stuart; Planchat, Alban; Tagliabue, Alessandro. 2024 Knowledge Gaps in Quantifying the Climate Change Response of Biological Storage of Carbon in the Ocean. Earth's Future, 12 (6). 10.1029/2023EF004375

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Abstract/Summary

The ocean is responsible for taking up approximately 25% of anthropogenic CO2 emissions and stores >50 times more carbon than the atmosphere. Biological processes in the ocean play a key role, maintaining atmospheric CO2 levels approximately 200 ppm lower than they would otherwise be. The ocean's ability to take up and store CO2 is sensitive to climate change, however the key biological processes that contribute to ocean carbon storage are uncertain, as are how those processes will respond to, and feedback on, climate change. As a result, biogeochemical models vary widely in their representation of relevant processes, driving large uncertainties in the projections of future ocean carbon storage. This review identifies key biological processes that affect how ocean carbon storage may change in the future in three thematic areas: biological contributions to alkalinity, net primary production, and interior respiration. We undertook a review of the existing literature to identify processes with high importance in influencing the future biologically-mediated storage of carbon in the ocean, and prioritized processes on the basis of both an expert assessment and a community survey. Highly ranked processes in both the expert assessment and survey were: for alkalinity—high level understanding of calcium carbonate production; for primary production—resource limitation of growth, zooplankton processes and phytoplankton loss processes; for respiration—microbial solubilization, particle characteristics and particle type. The analysis presented here is designed to support future field or laboratory experiments targeting new process understanding, and modeling efforts aimed at undertaking biogeochemical model development.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1029/2023EF004375
ISSN:	2328-4277
Date made live:	26 Jun 2024 13:26 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/537637

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