Skip to main content
eScholarship
Open Access Publications from the University of California

UC Santa Cruz

UC Santa Cruz Electronic Theses and Dissertations bannerUC Santa Cruz

CYCLING AND EXPORT OF PARTICULATE ORGANIC CARBON IN THE OCEAN

No data is associated with this publication.
Creative Commons 'BY' version 4.0 license
Abstract

Constraining the processes that control the distribution of carbon in the ocean is critical for understanding how the ocean’s role in the carbon cycle will evolve as global temperatures rise. However, these processes are difficult to measure directly. In this dissertation, computational methods are used to estimate the rates at which particulate organic carbon (POC) aggregates, disaggregates, remineralizes, and is exported down the water column through gravitational settling and zooplankton mediated transport. First, an inverse model is built to estimate rates of particle cycling from POC concentration data collected near Station P in the North Pacific as part of the EXPORTS program. While the model is able to obtain posterior estimates of particle cycling rates that are consistent with the POC concentration data, these estimates were sensitive to the choice of prior estimates. A revised version of this model is then applied to data from the GEOTRACES Pacific meridional transect GP15, which spans a variety of biogeochemical regimes from the south Alaskan gyre to the south Pacific subtropical gyres. Inverse estimates suggest that along GP15, settling speeds of large particles increased with depth below the euphotic zone, but there was no dependence of settling speed on seawater viscosity. The magnitude of POC settling flux out of the euphotic zone was directly related to primary production such that the highest flux occurred in the mesotrophic subarctic gyre and the lowest flux occurred in the oligotrophic subtropical gyres, but the export efficiency was generally low (< 5%) regardless of trophic status. POC appeared to be more cohesive in oligotrophic regions dominated by picoplankton, and, contrary to previous studies, no effect of temperature on remineralization was observed. Finally, a computer vision-based method is demonstrated for estimating carbon settling fluxes from particles visible in camera images with high spatiotemporal resolution while greatly decreasing the amount of human labor required for producing these flux estimates. Overall, this work contributes to a better understanding of how carbon is cycled and exported to depth in the present ocean, and provides insights into how these processes may change in the future.

Main Content

This item is under embargo until September 13, 2025.