Greenhouse gases emitted by agricultural vehicles in Costa Rica
DOI:
https://doi.org/10.22458/urj.v13i1.3278Keywords:
Agricultural machinery, Emissions, IPCC Factors, Descarbonization, Power EngineAbstract
Introduction: In Costa Rica, greenhouse gas emissions from agricultural vehicles are not usually measured independently in inventories. They are usually pooled within overall vehicle fleet or other emissions. Objective: Determine the emissions and specific characteristics for agricultural vehicles in Costa Rica. Methods: The basic characteristics of agricultural machinery in Costa Rica were obtained from information on the payment of circulation taxes for the year 2016. The estimate of emissions was based on the parameters established by the Intergovernmental Panel on Climate Change and factors specific to Costa Rica. Results: Most agricultural machinery is less than 10 years old (92%), uses diesel fuel (99%) and is concentrated in the medium power range (category II ASAE S482, 82%). The total emissions of the equipment under study are 467 650 tons of CO2 equivalent, mainly associated with CO2 emissions (98%). This is equivalent to 10% of emissions in the Transport sector and up to 6% in the Greenhouse Gas Inventory (GHGI). Conclusions: In Costa Rica, emissions from agricultural vehicles are not properly segregated and possibly not properly accounted for. This should be improved in the country's 2050 decarbonization plan.
References
Alvarado, A. (2004). Maquinaria y Mecanizacion Agrícola. San José, Costa Rica: EUNED.
Alvarado , A. (2012). Mecanización Agrícola, ¿Deterioro o conservación del suelo? Tecnología en Marcha, 19 (1) 56-60.
ASAE S482: 2004. (2004). Drawbars - Agricultural Wheel. Chicago, USA: American Society Agricultural and Biologic - SAI Global Standards.
Blanco Salas, K., Chacón Araya, A., Jiménez Valverde, G., Montenegro Vallestero, J., & Sasa Marín, J. (2019). Inventario nacional de emisiones por fuente y absorción por sumidero de gases efecto invernadero en Costa Rica 2015. San José, Costa Rica: Instituto Meteorológico Nacional.
Chacón Araya, A., Jiménez Valverde, G., Montenegro Ballestero, J., Sasa Marín, J., & Blanco Salas, K. (2015). Inventario nacional de gases efecto Invernadero y absorción de carbono, Costa Rica. San José, Costa Rica: Instituto Meteorológico Nacional.
Chacon Araya, A., Jiménez Valverde, G., Montenegro Ballestero, J., Sasa Marín, J., & Blanco Salas, K. (2014). Inventario nacional de gases efecto invernadero y absorción de carbono 2010. San José, Costa Rica: Instituto Meteorologico Nacional.
Dirección de Cambio Climático . (2019). Plan Nacional de Descarbonizacion 2018-2050. Recuperado de https://cambioclimatico.go.cr/wp-content/uploads/2019/02/PLAN.pdf
Food and Agriculture Organization of the United Nations (FAO). (2014). Estrategia de Mecanización Agrícola. Recuperado de http://www.fao.org/ag/ags/mecanizacion-agricola/estrategia-de-mecanizacion-agricola-ema/es/
Fuglie, K. (2018). Is agricultural productivity slowing?. Global Food Security, 17, 73–83. Doi: 10.1016/j.gfs.2018.05.001
Gómez-Calderón, N. (2016). Fundamentos de maquinria agrícola. San José, Costa Rica: EUNED.
Gómez-Calderón, N.; Solórzano-Quintana, M.; Villagra-Mendoza, K. (2017). Informes de Proyectos de Investigación - Cuantificación de la erosión hídrica en función de diferentes técnicas de mecanización para minimizar la contaminación del agua por sedimentos en la parte alta de la cuenca del Río Reventazón. Recuperado de https://repositoriotec.tec.ac.cr/handle/2238/9164
Gómez-Calderón, N.; Villagra-Mendoza, K.; Solórz, M. (2018). La labranza mecanizada y su impacto en la conservación del suelo. Tecnología en Marcha, 31 (1), 167-177. Doi: 10.18845/tm.v31i1.3506
Group World Bank. (2016). Maquinaria agrícola, tractores por cada 100 kilómetros cuadrados de tierra cultivable. Recuperado de https://datos.bancomundial.org/indicador/AG.LND.TRAC.ZS
IBM. (2016). IBM Support - SPSS Modeler 18.0. Recuperado de https://www.ibm.com/support/pages/spss-modeler-180-documentation
Instituto Meteorológico Nacional. (2015). Programa de Cambio Climático - Factores de emisión GEI. Recuperado de http://cglobal.imn.ac.cr/documentos/publicaciones/factoresemision/factoresemision2015/offline/download.pdf
Instituto Nacional de Estadísticas y Censos (INEC). (2014). VI Censo Nacional Agropecuario: Características de las Fincas y de las Personas Productoras. Recuperado de https://www.inec.go.cr/documento/cenagro-2014-caracteristicas-de-las-fincas-y-de-las-personas-productoras-vi-censo-nacion-0
ISO/IEC 9075 -1:2011. (2011). Information technonology - Database languages - SQL - Part 1: Framework . Ginebra, Suiza: International Organization for Standardizationhttps.
Ministerio de Agricultura y Ganaderia (MAG). (1984). Ley 7064 de Fomento a la Producción Agropecuaria. Recuperado de http://www.mag.go.cr/legislacion/1987/Ley-7064.pdf
Mora-Alfaro, J. (2005). Agrarian policies and rural development in Costa Rica: definitions elements in the new international context. . Agronomía Costarricense, 29 (1), 101–132. Recuperado de https://mpra.ub.uni-muenchen.de/1525/
Organización para la Cooperación y el Desarrollo Económicos (OCDE). (2018). Costa Rica 2018. Estudios Economicos de la OCDE. Recuperado de https://www.oecd.org/eco/surveys/Costa-Rica-2018-Estudios-Economicos-de-la-OCDE.pdf
Rebolledo-Leiva, R., Angulo-Meza, L., Iriarte, A., & González-Araya, M. (2017). Joint carbon footprint assessment and data envelopment analysis for the reduction of greenhouse gas emissions in agriculture production. Science of The Total Environment,, 593–594, 36–46. Doi: 10.1016/j.scitotenv.2017.03.147
Published
How to Cite
Issue
Section
License
Note: This abstract contains an incorrect copyright due to technical issues. Authors who publish with this journal agree to the following terms: Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal
All journal contents are freely available through a CC BY 4.0 license.
CC BY 4.0 is a Creative Commons: you can copy, modify, distribute, and perform, even for commercial reasons, without asking permission, if you give appropriate credit.
Contents can be reproduced if the source and copyright are acknowledged according to the Open Access license CC BY 4.0. Self-storage in preprint servers and repositories is allowed for all versions. We encourage authors to publish raw data and data logs in public repositories and to include the links with all drafts so that reviewers and readers can consult them at any time.
The journal is financed by public funds via Universidad Estatal a Distancia and editorial independence and ethical compliance are guaranteed by the Board of Editors, UNED. We do not publish paid ads or receive funds from companies.