Remineralization ratios represent the average stoichiometric relationships of elements released by decomposition of sinking particles as they fall thought the water column to the ocean floor. In theory, these ratios are similar, on appropriate temporal and spatial scales, to the ratios in which elements are taken up by phytoplankton. These ratios are often used in biogeochemical modeling and they permit linking the different cycles through simple proportionality. Although variations in the ratio in space or time can have large-scale oceanic impact, current consensus suggests that remineralization ratios are relatively constant in the deep ocean, but that significant variations exist in the more dynamic upper layers. If one is to correctly predict the impacts of iron fertilization, to measure the efficiency of the organic carbon pump, or to investigate the effects of climate change on oceanic biogeochemical cycles, and so make claims about the significance of these processes on anthropogenically relevant scales (decades), an accurate global depiction of organic matter remineralization is required. Researchers from Princeton University propose to carry out a global investigation of the pattern of water column remineralization of carbon, alkalinity, oxygen and the major nutrients (nitrate, phosphate, silicate) using a newly developed mathematical estimation scheme and the Global Ocean Data Analysis Project (GLODAP) data set. Using a newly developed method to solve a coupled system of equation describing mixing of multiple water masses and remineralization of particulate matter into dissolved nutrients, they can simultaneously solve for the water mass fractions and each remineralization ratio, without assuming ratio constancy, and propagate uncertainties in water mass characterization using a geographic Monte-Carlo approach.

The broader impacts of this research will include providing the oceanographic community with a global database containing 1) the fractions of the major water masses constituting most water sample collected as part of the major oceanographic expeditions of the last few decades, 2) the remineralization ratios inferred from the dissolved nutrient fields, and 3) the faction of the measured concentrations that arises from biological respiration or dissolution. No centralized data repository containing this information currently exists, and existing methods used to compute these parameters are limited. In addition, a graduate student would be trained.

Agency
National Science Foundation (NSF)
Institute
Division of Ocean Sciences (OCE)
Type
Standard Grant (Standard)
Application #
0727170
Program Officer
Donald L. Rice
Project Start
Project End
Budget Start
2007-09-01
Budget End
2011-08-31
Support Year
Fiscal Year
2007
Total Cost
$434,560
Indirect Cost
Name
Princeton University
Department
Type
DUNS #
City
Princeton
State
NJ
Country
United States
Zip Code
08540