Global patterns of biological carbon pump particle transfer efficiency by particle size

The transfer efficiency (TE)—the fraction of carbon exported out of the surface ocean that makes it to a specified depth horizon—of the ocean biological carbon pump is an important metric for quantifying the global carbon cycle. There is, however, large uncertainty in the magnitude, variability, and spatial patterns of TE, ultimately making modeling the biological carbon pump highly uncertain. Some studies have found high TE at high latitudes and low TE at low latitudes, suggesting temperature-dependent mineralization rates control these patterns, while others have found the opposite relationship, suggesting ecosystem structure and its impacts on particle types is the dominant control. In this study, we leverage the particulate backscatter data from the global Biogeochemical Argo float array to investigate the magnitude, variability, and latitudinal patterns of the particle transfer efficiency, TE p , for both small and large particles, applying a consistent, global analysis. We define the particle transfer efficiency to clearly distinguish from the transfer efficiency, TE, which is derived from POC flux measurements directly. Data is segmented by dynamic oceanographic biomes, and the accompanying biogeochemical measurements are utilized to evaluate controls of these patterns. Here, we quantify how large particles have a higher TE p than small particles and that TE p tends to be lowest during periods of high productivity. Furthermore, we find that large particle TE p most strongly correlates with temperature (+) and nitrate (-), and small particle TE p is most strongly correlates with oxygen saturation (-) and apparent oxygen utilization (+).

Authors

Institutions

Publication Details

Published
2026-10-26
DOI
https://doi.org/10.22541/essoar.15011078/v1
Primary Topic
Marine and coastal ecosystems
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Global patterns of biological carbon pump particle transfer efficiency by particle size

Ellen Park, David Nicholson
Marine and coastal ecosystems
preprint

Global patterns of biological carbon pump particle transfer efficiency by particle size

Ellen Park, David Nicholson
preprint en

Abstract

The transfer efficiency (TE)—the fraction of carbon exported out of the surface ocean that makes it to a specified depth horizon—of the ocean biological carbon pump is an important metric for quantifying the global carbon cycle. There is, however, large uncertainty in the magnitude, variability, and spatial patterns of TE, ultimately making modeling the biological carbon pump highly uncertain. Some studies have found high TE at high latitudes and low TE at low latitudes, suggesting temperature-dependent mineralization rates control these patterns, while others have found the opposite relationship, suggesting ecosystem structure and its impacts on particle types is the dominant control. In this study, we leverage the particulate backscatter data from the global Biogeochemical Argo float array to investigate the magnitude, variability, and latitudinal patterns of the particle transfer efficiency, TE p , for both small and large particles, applying a consistent, global analysis. We define the particle transfer efficiency to clearly distinguish from the transfer efficiency, TE, which is derived from POC flux measurements directly. Data is segmented by dynamic oceanographic biomes, and the accompanying biogeochemical measurements are utilized to evaluate controls of these patterns. Here, we quantify how large particles have a higher TE p than small particles and that TE p tends to be lowest during periods of high productivity. Furthermore, we find that large particle TE p most strongly correlates with temperature (+) and nitrate (-), and small particle TE p is most strongly correlates with oxygen saturation (-) and apparent oxygen utilization (+).

Massachusetts Institute of Technology (US), Woods Hole Oceanographic Institution (US)
Marine and coastal ecosystems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Global patterns of biological carbon pump particle transfer efficiency by particle size — Ellen Park, David Nicholson · (2026) | TGRS Research Map | TGRS