A decision support tool for the selection of 15 N analysis methods of ammonium and nitrate

Abstract

The stable nitrogen isotope (15 N) analysis of ammonium (NH4+) and nitrate (NO3–) is widely used in ecological research, providing insights into N cycling and its underlying regulating mechanisms in both aquatic and terrestrial ecosystems. To date, a large number of methods have been developed for the preparation and measurement of 15 N abundance of NH4+ and NO3– in liquid environmental samples at either natural abundance or enriched levels. However, these methods are all subject to certain specific advantages and limitations, and ecologists might be looking for an efficient way to select the most suitable methods in face of shifting sampling and analytical conditions. Based on our extensive review of these 15 N analysis methods we developed a decision support tool (DST) to provide quick and proper guidance for environmental researchers in finding the optimal method for preparing their liquid samples for 15 N analysis in NH4+ or NO3–. The DST is a decision tree based on several key criteria that users need to take into account when choosing the preferred sample preparation method for their samples. The criteria concern: the sample matrix, the 15 N abundance and the concentration of the target N species, the contamination by other N-containing chemicals, the isotopic fractionation, the availability of equipment, concerns about toxicity of reagents, and the preparation time. This work links field-scale experiments and laboratory 15 N analysis. Potential applications of our decision trees include 15 N studies ranging from natural abundance to tracer level in a wide range of terrestrial, freshwater and marine ecosystems.

Use of 15N tracers to study nitrogen flows in agro-ecosystems: transformation, losses and plant uptake

“…Many methods exist for analyzing the 15 N abundance of inorganic N species (ammonium and nitrate) in liquid samples (Biasi et al 2022), all with their own limitations and advantages. Jia et al (2022) conducted an extensive literature review on those methodologies as a base for developing a decision support tool as a guideline for research to select appropriate analysis methods for their samples. This will certainly be of benefit both for 15 N novices as well as experienced researchers for planning future studies.…”