Journal of Environmental Quality · 2020 · 86 citations · 24 references
AgricultureEarth SciencesSoil SciencesSoil BiogeochemistrySoil PhysicsSoil ScienceFlux Balance AnalysisGreenhouse Gas FluxesNitrogen OxidesSoil-plant-atmosphere InteractionsAnalytical PrecisionGas Flux EstimationNitrous OxideNitrous Oxide ExchangeNitrous Oxide FluxesNitrous Oxide UptakeSoil Gas FluxesSoil Properties
Determining soil‑to‑atmosphere N₂O fluxes with non‑steady‑state chambers requires converting gas concentration‑time data to fluxes, and different flux‑calculation schemes can yield varying estimates due to differences in theory, computational demands, and trade‑offs between accuracy and precision. The study aims to describe the essential theoretical and practical aspects of the most commonly used flux‑calculation schemes to aid their selection and application. The authors present a gold‑standard approach for selecting and applying flux‑calculation schemes, alternative methods based on soil physical data and sampling intensity, and an error‑analysis tool that quantifies accuracy and precision relative to chamber geometry, sampling duration, soil properties, and analytical precision. Example error analyses demonstrate how the tool can guide scheme choice, estimate bias, and inform chamber and sampling design.
Abstract A critical step in determining soil‐to‐atmosphere nitrous oxide (N 2 O) exchange using non‐steady‐state chambers is converting collected gas concentration versus time data to flux values using a flux calculation (FC) scheme. It is well documented that different FC schemes can produce different flux estimates for a given set of data. Available schemes differ in their theoretical basis, computational requirements, and performance in terms of both accuracy and precision. Nonlinear schemes tend to increase accuracy compared with linear regression but can also decrease precision. The chamber bias correction method can be used if soil physical data are available, but this introduces additional sources of error. Here, the essential theoretical and practical aspects of the most commonly used FC schemes are described as a basis for their selection and use. A gold standard approach for application and selection of FC schemes is presented, as well as alternative approaches based on availability of soil physical property data and intensity of sample collection during each chamber deployment. Additional criteria for scheme selection are provided in the form of an error analysis tool that quantifies performance with respect to both accuracy and precision based on chamber dimensions and sampling duration, soil properties, and analytical measurement precision. Example error analyses are presented for hypothetical conditions illustrating how such analysis can be used to guide FC scheme selection, estimate bias, and inform design of chambers and sampling regimes.
24
Methods of Soil Analysis. Part 4. Physical Methods
Gerrit H. de Rooij · Vadose Zone Journal · 2004 · 1.7K citations