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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2018
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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 |
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author | Almaraz, Maya Bai, Edith Wang, Chao Trousdell, Justin Conley, Stephen Faloona, Ian Houlton, Benjamin Z. |
author_facet | Almaraz, Maya Bai, Edith Wang, Chao Trousdell, Justin Conley, Stephen Faloona, Ian Houlton, Benjamin Z. |
author_sort | Almaraz, Maya |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6135546 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-61355462018-09-13 Extrapolation of point measurements and fertilizer-only emission factors cannot capture statewide soil NO(x) emissions Almaraz, Maya Bai, Edith Wang, Chao Trousdell, Justin Conley, Stephen Faloona, Ian Houlton, Benjamin Z. Sci Adv Technical Comments 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. American Association for the Advancement of Science 2018-09-12 /pmc/articles/PMC6135546/ /pubmed/30214941 http://dx.doi.org/10.1126/sciadv.aau7373 Text en Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Technical Comments Almaraz, Maya Bai, Edith Wang, Chao Trousdell, Justin Conley, Stephen Faloona, Ian Houlton, Benjamin Z. Extrapolation of point measurements and fertilizer-only emission factors cannot capture statewide soil NO(x) emissions |
title | Extrapolation of point measurements and fertilizer-only emission factors cannot capture statewide soil NO(x) emissions |
title_full | Extrapolation of point measurements and fertilizer-only emission factors cannot capture statewide soil NO(x) emissions |
title_fullStr | Extrapolation of point measurements and fertilizer-only emission factors cannot capture statewide soil NO(x) emissions |
title_full_unstemmed | Extrapolation of point measurements and fertilizer-only emission factors cannot capture statewide soil NO(x) emissions |
title_short | Extrapolation of point measurements and fertilizer-only emission factors cannot capture statewide soil NO(x) emissions |
title_sort | extrapolation of point measurements and fertilizer-only emission factors cannot capture statewide soil no(x) emissions |
topic | Technical Comments |
url | 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 |
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