Nature Geoscience, volume 15, issue 4, pages 248-254
Uncertain response of ocean biological carbon export in a changing world
S. A. Henson
1
,
Charlotte Laufkötter
2, 3
,
Shirley W. Leung
4
,
Sarah L.C. Giering
1
,
Hilary I Palevsky
5
,
Emma L. Cavan
6
Publication type: Journal Article
Publication date: 2022-04-08
Journal:
Nature Geoscience
scimago Q1
SJR: 5.874
CiteScore: 26.7
Impact factor: 15.7
ISSN: 17520894, 17520908
General Earth and Planetary Sciences
Abstract
The transfer of organic carbon from the upper to the deep ocean by particulate export flux is the starting point for the long-term storage of photosynthetically fixed carbon. This ‘biological carbon pump’ is a critical component of the global carbon cycle, reducing atmospheric CO2 levels by ~200 ppm relative to a world without export flux. This carbon flux also fuels the productivity of the mesopelagic zone, including important fisheries. Here we show that, despite its importance for understanding future ocean carbon cycling, Earth system models disagree on the projected response of the global export flux to climate change, with estimates ranging from −41% to +1.8%. Fundamental constraints to understanding export flux arise because a myriad of interconnected processes make the biological carbon pump challenging to both observe and model. Our synthesis prioritizes the processes likely to be most important to include in modern-day estimates (particle fragmentation and zooplankton vertical migration) and future projections (phytoplankton and particle size spectra and temperature-dependent remineralization) of export. We also identify the observations required to achieve more robust characterization, and hence improved model parameterization, of export flux and thus reduce uncertainties in current and future estimates in the overall cycling of carbon in the ocean. A synthesis of recent work on marine carbon export fluxes finds that many processes that are key to understanding the effects of a warming climate on ocean carbon cycling are missing from current climate models.
Found
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