Assessing benthic oxygen fluxes in oligotrophic deep sea sediments (HAUSGARTEN observatory)

Benthic oxygen fluxes, an established proxy for total organic carbon mineralization, were investigated in oligotrophic deep sea sediments. We used three different in situ technologies to estimate the benthic oxygen fluxes at an Arctic deep sea site (2500 m depth, HAUSGARTEN observatory) with limitin...

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Bibliographic Details
Main Authors: Donis, D., McGinnis, D., Holtappels, M., Felden, J., Wenzhoefer, F.
Format: Article in Journal/Newspaper
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/21.11116/0000-0001-C2EA-C
http://hdl.handle.net/21.11116/0000-0005-5668-6
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Summary:Benthic oxygen fluxes, an established proxy for total organic carbon mineralization, were investigated in oligotrophic deep sea sediments. We used three different in situ technologies to estimate the benthic oxygen fluxes at an Arctic deep sea site (2500 m depth, HAUSGARTEN observatory) with limiting conditions of low oxygen gradients and fluxes, low turbulence and low particle content in the benthic boundary layer. The resolved eddy covariance turbulent oxygen flux (-0.9 +/- 0.2 (SD) mmol O-2 m(-2) d(-1)) compared well with simultaneous dissolved oxygen flux measurements carried out with a microprofiler (-1.02 +/- 03 (SD) mmol O-2 m(-2) d(-1)) and total oxygen uptake obtained by benthic chamber incubations (-1.1 +/- 0.1 (SD) mmol O-2 m(-2) d(-1)). The agreement between these different techniques revealed that microbial-mediated oxygen consumption was dominant at this site. The average benthic flux equals a carbon mineralization rate of 4.3 g C m(-2) yr(-1), which exceeds the annual sedimentation of particulate organic matter measured by sediment traps. The present study represents a detailed comparison of different in situ technologies for benthic flux measurements at different spatial scales in oligotrophic deep sea sediments. The use of eddy covariance, so far rarely used for deep sea investigations, is presented in detail. (C) 2016 Elsevier Ltd. All rights reserved.