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Limits of agricultural greenhouse gas calculators to predict soil N(2)O and CH(4) fluxes in tropical agriculture
Demand for tools to rapidly assess greenhouse gas impacts from policy and technological change in the agricultural sector has catalyzed the development of ‘GHG calculators’— simple accounting approaches that use a mix of emission factors and empirical models to calculate GHG emissions with minimal i...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4873796/ https://www.ncbi.nlm.nih.gov/pubmed/27197778 http://dx.doi.org/10.1038/srep26279 |
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author | Richards, Meryl Metzel, Ruth Chirinda, Ngonidzashe Ly, Proyuth Nyamadzawo, George Duong Vu, Quynh de Neergaard, Andreas Oelofse, Myles Wollenberg, Eva Keller, Emma Malin, Daniella Olesen, Jørgen E. Hillier, Jonathan Rosenstock, Todd S. |
author_facet | Richards, Meryl Metzel, Ruth Chirinda, Ngonidzashe Ly, Proyuth Nyamadzawo, George Duong Vu, Quynh de Neergaard, Andreas Oelofse, Myles Wollenberg, Eva Keller, Emma Malin, Daniella Olesen, Jørgen E. Hillier, Jonathan Rosenstock, Todd S. |
author_sort | Richards, Meryl |
collection | PubMed |
description | Demand for tools to rapidly assess greenhouse gas impacts from policy and technological change in the agricultural sector has catalyzed the development of ‘GHG calculators’— simple accounting approaches that use a mix of emission factors and empirical models to calculate GHG emissions with minimal input data. GHG calculators, however, rely on models calibrated from measurements conducted overwhelmingly under temperate, developed country conditions. Here we show that GHG calculators may poorly estimate emissions in tropical developing countries by comparing calculator predictions against measurements from Africa, Asia, and Latin America. Estimates based on GHG calculators were greater than measurements in 70% of the cases, exceeding twice the measured flux nearly half the time. For 41% of the comparisons, calculators incorrectly predicted whether emissions would increase or decrease with a change in management. These results raise concerns about applying GHG calculators to tropical farming systems and emphasize the need to broaden the scope of the underlying data. |
format | Online Article Text |
id | pubmed-4873796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48737962016-06-02 Limits of agricultural greenhouse gas calculators to predict soil N(2)O and CH(4) fluxes in tropical agriculture Richards, Meryl Metzel, Ruth Chirinda, Ngonidzashe Ly, Proyuth Nyamadzawo, George Duong Vu, Quynh de Neergaard, Andreas Oelofse, Myles Wollenberg, Eva Keller, Emma Malin, Daniella Olesen, Jørgen E. Hillier, Jonathan Rosenstock, Todd S. Sci Rep Article Demand for tools to rapidly assess greenhouse gas impacts from policy and technological change in the agricultural sector has catalyzed the development of ‘GHG calculators’— simple accounting approaches that use a mix of emission factors and empirical models to calculate GHG emissions with minimal input data. GHG calculators, however, rely on models calibrated from measurements conducted overwhelmingly under temperate, developed country conditions. Here we show that GHG calculators may poorly estimate emissions in tropical developing countries by comparing calculator predictions against measurements from Africa, Asia, and Latin America. Estimates based on GHG calculators were greater than measurements in 70% of the cases, exceeding twice the measured flux nearly half the time. For 41% of the comparisons, calculators incorrectly predicted whether emissions would increase or decrease with a change in management. These results raise concerns about applying GHG calculators to tropical farming systems and emphasize the need to broaden the scope of the underlying data. Nature Publishing Group 2016-05-20 /pmc/articles/PMC4873796/ /pubmed/27197778 http://dx.doi.org/10.1038/srep26279 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Richards, Meryl Metzel, Ruth Chirinda, Ngonidzashe Ly, Proyuth Nyamadzawo, George Duong Vu, Quynh de Neergaard, Andreas Oelofse, Myles Wollenberg, Eva Keller, Emma Malin, Daniella Olesen, Jørgen E. Hillier, Jonathan Rosenstock, Todd S. Limits of agricultural greenhouse gas calculators to predict soil N(2)O and CH(4) fluxes in tropical agriculture |
title | Limits of agricultural greenhouse gas calculators to predict soil N(2)O and CH(4) fluxes in tropical agriculture |
title_full | Limits of agricultural greenhouse gas calculators to predict soil N(2)O and CH(4) fluxes in tropical agriculture |
title_fullStr | Limits of agricultural greenhouse gas calculators to predict soil N(2)O and CH(4) fluxes in tropical agriculture |
title_full_unstemmed | Limits of agricultural greenhouse gas calculators to predict soil N(2)O and CH(4) fluxes in tropical agriculture |
title_short | Limits of agricultural greenhouse gas calculators to predict soil N(2)O and CH(4) fluxes in tropical agriculture |
title_sort | limits of agricultural greenhouse gas calculators to predict soil n(2)o and ch(4) fluxes in tropical agriculture |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4873796/ https://www.ncbi.nlm.nih.gov/pubmed/27197778 http://dx.doi.org/10.1038/srep26279 |
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