Contributors | Affiliation | Role |
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Granger, Julie | University of Connecticut (UConn) | Principal Investigator |
Zhou, Mengyang | University of Connecticut (UConn) | Student, Contact |
Chang, Bonnie X. | University of Washington (UW) | Analyst |
Newman, Sawyer | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Methodology:
Sampling and analytical procedures:
Using the lab experiment data in the dataset “Incidence of volume effect with the denitrifier method”, ẟ15N (ẟ18O) scale contraction was calculated as the percent deviation of the difference between measured ẟ15N (ẟ18O) values of IAEA-NO3 and USGS-34 from the true difference.
Processing notes from submitting researcher:
BCO-DMO processing notes
File |
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zhou_et_al_lab_data-3.csv (Comma Separated Values (.csv), 1.36 KB) MD5:3b516eba14e7e33d754346a5e5dd54fe Primary data file for dataset ID 865043 |
Parameter | Description | Units |
Strain | The two denitrifying bacteria strains used in the laboratory experiment: P. aureofaciens and P. chlororaphis | unitless |
Aliquot | Types of aliquot: freshwater or seawater | unitless |
Date | Date of the experiments; yyyy-mm-dd | unitless |
Trial | Trial name | unitless |
Concentration | Concentrations of nitrate reference solutions | umolL-1 |
Sample_volume | Sample volume injected to aliquot 10 nmol of nitrate | mL |
delta_18O_scale_contraction | The percent deviation of the difference between measured _18O values of IAEA-NO3 and USGS-34 from the true difference, using data from datasheet "Incidence of volume effect" | unitless |
stdev_of_delta_18O_scale_contraction | Propagated standard deviation of _18O scale contraction for each trial | unitless |
delta_15N_scale_contraction | The percent deviation of the difference between measured _15N values of IAEA-NO3 and USGS-34 from the true difference, using data from datasheet "Incidence of volume effect" | unitless |
stdev_of_delta_15N_scale_contraction | Propagated standard deviation of _18O scale contraction for each trial | unitless |
NSF Award Abstract:
The nitrogen (N) cycle in the marine environment is controlled by biological processes. Unfortunately, quantifying these processes and assessing their effect on the N cycle is difficult by direct measurements because of large spatial and temporal differences. Isotopic composition measurements of N provide a means to constrain these processes indirectly; however, there is still a great deal to be understood about isotope fractionation of recycled nitrogen through biological processes, which has made interpretation of novel nitrogen isotope data difficult. A researcher from the University of Connecticut plans to determine the influence of biological consumption and production on the isotope fractionation in ammonium. By helping to understand the processes surrounding fractionation of recycled ammonium at the organism level, this research will create a basis for which future researchers can better interpret isotope composition data to infer nitrogen cycle dynamics. A graduate student, a postdoctoral fellow, and two or more undergraduate students will be involved in the research. The researcher plans to integrate science with community-engaged learning by developing an undergraduate field and laboratory course that will require the students to present their research to stakeholders in the community. There will be a manual created for this course that will be disseminated in open-access forums for teachers hoping to develop similar courses.
Biological nitrogen isotope fractionation associated with nitrogen recycling remains poorly constrained despite the advent of a variety of new techniques to analyze nitrogen isotopes in recent years. The use of isotopic composition data can be incredibly useful to interpreting nitrogen cycle processes in the ocean that are difficult to measure directly, which makes it crucial to further understand the processes behind fractionation to catch up with the advancement of the datasets available to researchers. This research will characterize the isotope fractionation dynamics of ammonium during biological consumption and production. The researchers will investigate whether the characteristic low concentrations of ammonium in the surface ocean affect isotope fractionation when the ammonium is recycled and whether there is a trophic isotope effect associated with ammonium recycling by protozoan grazers. With this research, there will be a baseline from which researchers can interpret recycled nitrogen dynamics from ammonium isotope datasets. The methods of comparing nitrogen cycling studies will become significantly clearer with such a standard making interpretation uniform by removing significant uncertainties.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |