Particle cycling rates at Station P as estimated from the inversion of POC concentration data
Amaral, Vinícius J. (University of California Santa Cruz. Department of Ocean Sciences)
Lam, Phoebe J. (University of California Santa Cruz. Department of Ocean Sciences)
Marchal, Olivier (Woods Hole Oceanographic Institution. Department of Geology and Geophysics)
Roca-Martí, Montserrat (Dalhousie University. Department of Oceanography)
Fox, James (Oregon State University. Department of Microbiology)
Nelson, Norman B. (University of California Santa Barbara. Earth Research Institute)

Data:	2022
Resum:	Particle cycling rates in marine systems are difficult to measure directly, but of great interest in understanding how carbon and other elements are distributed throughout the ocean. Here, rates of particle production, aggregation, disaggregation, sinking, remineralization, and transport mediated by zooplankton diel vertical migration were estimated from size-fractionated measurements of particulate organic carbon (POC) concentration collected during the NASA EXport Processes in the Ocean from RemoTe Sensing (EXPORTS) cruise at Station P in summer 2018. POC data were combined with a particle cycling model using an inverse method. Our estimates of the total POC settling flux throughout the water column are consistent with those derived from thorium-234 disequilibrium and sediment traps. A budget for POC in two size fractions, small (1-51 mm) and large (.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	EXPORTS ; North Pacific ; Ocean particle model ; Particle cycling rates in the ocean ; Particulate organic carbon ; Station P ; SDG 14 - Life Below Water
Publicat a:	Elementa (Washington DC), Vol. 10, Issue 1 (August 2022) , art. 00018, ISSN 2325-1026

DOI: 10.1525/elementa.2021.00018

29 p, 1.7 MB

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