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Autonomous profiling float observations reveal the dynamics of deep biomass distributions in the denitrifying oxygen minimum zone of the Arabian Sea
- Source :
- Journal of Marine Systems. 207:103103
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Data from 13 autonomous profiling BGC-Argo floats, equipped with biogeochemical and bio-optical sensors deployed between 2011 and 2016, were used to explore the potential of bio-optical methods to map deep biomass distribution in the Arabian Sea oxygen minimum zone (OMZ). Dissolved oxygen sensors revealed concentrations below 5 μmol kg−1 for much of the depth range between 200 and 400 m and below 1 μmol kg−1 in the centre of the OMZ, which is well below climatological values. Optical particle backscatter sensors revealed intensities within the upper OMZ that were nearly as high as within the euphotic zone. The distribution of these particulate scatterers was confined to oxygen concentrations below 1 μmol kg−1, with vertical distributions that exhibited maxima just below the top of the OMZ and decreased downward with similar attenuation to that expected for sinking organic matter. These distributions were very similar to those of nitrate deficits (ΔNO3) estimated from a float with an ultra-violet nitrate sensor (R2 = 0.54, p
- Subjects :
- 0106 biological sciences
chemistry.chemical_classification
Biogeochemical cycle
010504 meteorology & atmospheric sciences
010604 marine biology & hydrobiology
chemistry.chemical_element
Aquatic Science
Particulates
Oceanography
Atmospheric sciences
Oxygen minimum zone
01 natural sciences
Oxygen
chemistry.chemical_compound
Denitrifying bacteria
chemistry
Nitrate
Environmental science
Organic matter
Photic zone
Ecology, Evolution, Behavior and Systematics
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 09247963
- Volume :
- 207
- Database :
- OpenAIRE
- Journal :
- Journal of Marine Systems
- Accession number :
- edsair.doi...........a0169d77de8183dc31f7bb4a927ff2d8
- Full Text :
- https://doi.org/10.1016/j.jmarsys.2018.07.002