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Extrapolation of point measurements and fertilizer-only emission factors cannot capture statewide soil NO(x) emissions

Maaz et al. argue that inconsistencies across scales of observation undermine our working hypothesis that soil NO(x) 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 rel...

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Detalles Bibliográficos
Autores principales: Almaraz, Maya, Bai, Edith, Wang, Chao, Trousdell, Justin, Conley, Stephen, Faloona, Ian, Houlton, Benjamin Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6135546/
https://www.ncbi.nlm.nih.gov/pubmed/30214941
http://dx.doi.org/10.1126/sciadv.aau7373
Descripción
Sumario:Maaz et al. argue that inconsistencies across scales of observation undermine our working hypothesis that soil NO(x) 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(x) emissions—the principal motivation behind our new modeling/airplane approach. Maaz et al.’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(x) fluxes. In contrast, our model includes all of these factors. Finally, the fertilizer sales data that Maaz et al. highlight are known to suffer from serious errors and do not offer a logically more robust pathway for spatial analysis of NO(x) emissions from soil.