2017
DOI: 10.1002/2016gl070875
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Quantifying the time lag between organic matter production and export in the surface ocean: Implications for estimates of export efficiency

Abstract: The ocean's potential to export carbon to depth partly depends on the fraction of primary production (PP) sinking out of the euphotic zone (i.e., the e‐ratio). Measurements of PP and export flux are often performed simultaneously in the field, although there is a temporal delay between those parameters. Thus, resulting e‐ratio estimates often incorrectly assume an instantaneous downward export of PP to export flux. Evaluating results from four mesocosm studies, we find that peaks in organic matter sedimentatio… Show more

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Cited by 39 publications
(39 citation statements)
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“…This is in agreement with results from a mesocosm study, which noted that decoupling at the start of the spring bloom resulted in a low export efficiency (Stange et al, 2017). The authors argue that as zooplankton populations are still low early in the year, production is retained in the upper ocean due to a lack of processing by zooplankton.…”
Section: Discussionsupporting
confidence: 89%
“…This is in agreement with results from a mesocosm study, which noted that decoupling at the start of the spring bloom resulted in a low export efficiency (Stange et al, 2017). The authors argue that as zooplankton populations are still low early in the year, production is retained in the upper ocean due to a lack of processing by zooplankton.…”
Section: Discussionsupporting
confidence: 89%
“…These are primarily related to the lateral advection of POC during sinking and the time lag between primary production and export. Both must be taken into account to correctly link particles collected at depth with the plankton communities that actually produced them (Henson et al, ; Prahl et al, ; Stange et al, ). In situ mesocosms have been suggested as an important tool to overcome the spatial and temporal challenges associated with oceanic sampling (Bach et al, ; Legendre et al, ; Sanders et al, ).…”
Section: Introductionmentioning
confidence: 99%
“…The SDI was calculated on a daily basis and does therefore not account for the time lag between POM production and sinking of POM to the sediment traps (Stange et al, 2017). The reason for this was that the time lag could only be accurately determined during the bloom, when clear peaks in biomass production and POM flux to the sediment traps were observed.…”
Section: Estimating Degradation Of Sinking Particles Based On Stoichomentioning
confidence: 99%