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Sampling frequency affects estimates of annual nitrous oxide fluxes

Barton, L.; Wolf, B. 1; Rowlings, D.; Scheer, C. ORCID iD icon; Kiese, R. ORCID iD icon 1; Grace, P.; Stefanova, K.; Butterbach-Bahl, K. 1
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)

Abstract:

Quantifying nitrous oxide (N$_{2}$O) fluxes, a potent greenhouse gas, from soils is necessary to improve our knowledge of terrestrial N$_{2}$O losses. Developing universal sampling frequencies for calculating annual N$_{2}$O fluxes is difficult, as fluxes are renowned for their high temporal variability. We demonstrate daily sampling was largely required to achieve annual N$_{2}$O 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 N$_{2}$O 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 N$_{2}$O budgets associated with the upscaling of field-based datasets can be decreased significantly using adequate sampling frequencies.


Volltext §
DOI: 10.5445/IR/110103662
Originalveröffentlichung
DOI: 10.1038/srep15912
Scopus
Zitationen: 134
Web of Science
Zitationen: 129
Dimensions
Zitationen: 142
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2015
Sprache Englisch
Identifikator ISSN: 2045-2322
urn:nbn:de:swb:90-AAA1101036628
KITopen-ID: 110103662
HGF-Programm 12.02.01 (POF III, LK 01) Effects of land use and climate change
Erschienen in Scientific reports
Verlag Nature Research
Band 5
Seiten 15912
Nachgewiesen in Scopus
Dimensions
Web of Science
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