Combining reference trials, farm surveys and mathematical models to assess carbon footprint and mitigation measures in tropical agriculture

This study aimed at estimating carbon footprint (CF) and assessing mitigation options for selected tropical crops using excel-based models, parameterized with data collected through closed-ended questions questionnaires, combined with a reference trial (RT). Most of the estimates using structured in...

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Autores principales:	Morales A., Rodrigo A., Zorogastúa C., Percy, Feliciano, Diana, Mendiburu D., Felipe de, Quirós, Roberto
Formato:	Artículo
Lenguaje:	Inglés
Publicado:	ELSEVIER 2020
Acceso en línea:	https://repositorio.catie.ac.cr/handle/11554/9326 https://doi.org/10.1016/j.aoas.2019.12.002

id	RepoCATIE9326
record_format	dspace
spelling	RepoCATIE93262022-08-05T19:07:07Z Combining reference trials, farm surveys and mathematical models to assess carbon footprint and mitigation measures in tropical agriculture Morales A., Rodrigo A. Zorogastúa C., Percy Feliciano, Diana Mendiburu D., Felipe de Quirós, Roberto This study aimed at estimating carbon footprint (CF) and assessing mitigation options for selected tropical crops using excel-based models, parameterized with data collected through closed-ended questions questionnaires, combined with a reference trial (RT). Most of the estimates using structured interviews were similar to those measured in the RT and the literature. Total average emission intensities ranged from 24 to 290 kg CO2eq·Mg−1, where the extreme values corresponded to cassava in the RT (24 kg CO2eq·Mg−1) and maize in interviewed farmers in Barranca province (290 kg CO2eq·Mg−1). Overall, fertilizer production and application contributed to 77% of total greenhouse gas (GHG). Transportation generated emissions comparable to field estimates. Farm emissions can be reduced in 17 to 27% with incorporation of mitigation practices. The methodology used in this study constitute a useful and easily applicable tool to assess ex-ante the impact of policies and decisions on CF under farm conditions. It can also be used by different stakeholders for different purposes; including but not limited to: label products offered in the market with GHG emission estimates, make decisions to regulate the emissions in the agricultural sector, and to enable farmers to negotiate prices and incentives for environmental preservation with quantitative information. 2020-01-14T14:35:57Z 2020-01-14T14:35:57Z 2019 Artículo https://repositorio.catie.ac.cr/handle/11554/9326 https://doi.org/10.1016/j.aoas.2019.12.002 en Annals of Agricultural Sciences info:eu-repo/semantics/openAccess ELSEVIER
institution	Centro Agronómico Tropical de Investigación y Enseñanza
collection	Repositorio CATIE
language	Inglés
description	This study aimed at estimating carbon footprint (CF) and assessing mitigation options for selected tropical crops using excel-based models, parameterized with data collected through closed-ended questions questionnaires, combined with a reference trial (RT). Most of the estimates using structured interviews were similar to those measured in the RT and the literature. Total average emission intensities ranged from 24 to 290 kg CO2eq·Mg−1, where the extreme values corresponded to cassava in the RT (24 kg CO2eq·Mg−1) and maize in interviewed farmers in Barranca province (290 kg CO2eq·Mg−1). Overall, fertilizer production and application contributed to 77% of total greenhouse gas (GHG). Transportation generated emissions comparable to field estimates. Farm emissions can be reduced in 17 to 27% with incorporation of mitigation practices. The methodology used in this study constitute a useful and easily applicable tool to assess ex-ante the impact of policies and decisions on CF under farm conditions. It can also be used by different stakeholders for different purposes; including but not limited to: label products offered in the market with GHG emission estimates, make decisions to regulate the emissions in the agricultural sector, and to enable farmers to negotiate prices and incentives for environmental preservation with quantitative information.
format	Artículo
author	Morales A., Rodrigo A. Zorogastúa C., Percy Feliciano, Diana Mendiburu D., Felipe de Quirós, Roberto
spellingShingle	Morales A., Rodrigo A. Zorogastúa C., Percy Feliciano, Diana Mendiburu D., Felipe de Quirós, Roberto Combining reference trials, farm surveys and mathematical models to assess carbon footprint and mitigation measures in tropical agriculture
author_facet	Morales A., Rodrigo A. Zorogastúa C., Percy Feliciano, Diana Mendiburu D., Felipe de Quirós, Roberto
author_sort	Morales A., Rodrigo A.
title	Combining reference trials, farm surveys and mathematical models to assess carbon footprint and mitigation measures in tropical agriculture
title_short	Combining reference trials, farm surveys and mathematical models to assess carbon footprint and mitigation measures in tropical agriculture
title_full	Combining reference trials, farm surveys and mathematical models to assess carbon footprint and mitigation measures in tropical agriculture
title_fullStr	Combining reference trials, farm surveys and mathematical models to assess carbon footprint and mitigation measures in tropical agriculture
title_full_unstemmed	Combining reference trials, farm surveys and mathematical models to assess carbon footprint and mitigation measures in tropical agriculture
title_sort	combining reference trials, farm surveys and mathematical models to assess carbon footprint and mitigation measures in tropical agriculture
publisher	ELSEVIER
publishDate	2020
url	https://repositorio.catie.ac.cr/handle/11554/9326 https://doi.org/10.1016/j.aoas.2019.12.002
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Combining reference trials, farm surveys and mathematical models to assess carbon footprint and mitigation measures in tropical agriculture

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