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Extrapolation of point measurements and fertilizer-only emission factors cannot capture statewide soil NO x emissions
Author(s) -
Maya Almaraz,
Edith Bai,
Chao Wang,
Justin Trousdell,
Stephen Conley,
I. C. Faloona,
Benjamin Z. Houlton
Publication year - 2018
Publication title -
science advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.928
H-Index - 146
ISSN - 2375-2548
DOI - 10.1126/sciadv.aau7373
Subject(s) - extrapolation , biogeochemical cycle , environmental science , fertilizer , point (geometry) , soil science , remote sensing , environmental chemistry , chemistry , geography , agronomy , statistics , mathematics , biology , geometry
Maaz . argue that inconsistencies across scales of observation undermine our working hypothesis that soil NO emissions have been substantially overlooked in California; however, the core issues they raise are already discussed in our manuscript. We agree that point measurements cannot be reliably used to estimate statewide soil NO emissions-the principal motivation behind our new modeling/airplane approach. Maaz .'s presentation of fertilizer-based emission factors (a nonmechanistic scaling of point measures to regions based solely on estimated nitrogen fertilizer application rates) includes no data from California or other semiarid sites, and does not explicitly account for widely known controls of climate, soil, and moisture on soil NO fluxes. In contrast, our model includes all of these factors. Finally, the fertilizer sales data that Maaz . highlight are known to suffer from serious errors and do not offer a logically more robust pathway for spatial analysis of NO emissions from soil.

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