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Sampling frequency affects estimates of annual nitrous oxide fluxes

يؤثر تكرار أخذ العينات على تقديرات تدفقات أكسيد النيتروز السنوية
Authors: David W. Rowlings; Peter Grace; Klaus Butterbach-Bahl; Klaus Butterbach-Bahl; Ralf Kiese; Clemens Scheer; Louise Barton; +2 Authors

Sampling frequency affects estimates of annual nitrous oxide fluxes

Abstract

AbstractQuantifying nitrous oxide (N2O) fluxes, a potent greenhouse gas, from soils is necessary to improve our knowledge of terrestrial N2O losses. Developing universal sampling frequencies for calculating annual N2O fluxes is difficult, as fluxes are renowned for their high temporal variability. We demonstrate daily sampling was largely required to achieve annual N2O fluxes within 10% of the ‘best’ estimate for 28 annual datasets collected from three continents—Australia, Europe and Asia. Decreasing the regularity of measurements either under- or overestimated annual N2O fluxes, with a maximum overestimation of 935%. Measurement frequency was lowered using a sampling strategy based on environmental factors known to affect temporal variability, but still required sampling more than once a week. Consequently, uncertainty in current global terrestrial N2O budgets associated with the upscaling of field-based datasets can be decreased significantly using adequate sampling frequencies.

Countries
France, Australia, Germany, France
Keywords

sampling, Biogeochemical Cycling of Nutrients in Aquatic Ecosystems, Atmospheric sciences, Physical geography, 550, Greenhouse gas, 630, Article, Environmental science, sampling frequency, Filter (signal processing), Geochemistry and Petrology, Environmental Chemistry, Biology, Global and Planetary Change, info:eu-repo/classification/ddc/550, Nitrous oxide, nitrous oxide, Ecology, Geography, ddc:550, Nutrient Cycling, N2O, Geology, FOS: Earth and related environmental sciences, Sampling (signal processing), Computer science, Earth and Planetary Sciences, Earth sciences, FOS: Biological sciences, Global Methane Emissions and Impacts, Environmental Science, Physical Sciences, Computer vision, Stable Isotope Analysis of Groundwater and Precipitation

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    138
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
138
Top 1%
Top 10%
Top 1%
Green
gold