Published

2023-05-16

An Initial Approximation to the Simulation of Soil CO2 Emissions Using the IPCC Methodology in Agricultural Systems of Villavicencio

Una aproximación inicial a la simulación de emisiones de CO2 del suelo usando la metodología del IPCC en sistemas agropecuarios de Villavicencio

DOI:

https://doi.org/10.15446/ing.investig.94777

Keywords:

climate change, carbon sinks, land use, tillage (en)
cambio climático, sumidero de carbono, uso del suelo, labranza (es)

Downloads

Authors

At a global level, the agricultural sector has represented the largest source of greenhouse gas (GHG) emissions. Our research hypothesizes whether it is possible to faithfully define the effect of soil management factors on modeling soil carbon organic (SOC) sequestration and reducing soil CO2 emissions in different agricultural systems across three zones of Villavicencio (Colombia) by applying the Tier-1 IPCC process‐based model. Agroforestry systems (AFS) are typically found in zone 1, and intensive croplands (CL) in zones 3 and 4. Soil CO2 emissions rates are calculated according to the current IPCC guidelines for national GHG inventories. Root-mean square error (RMSE, RMSE/n), R2, and Nash‐Sutcliffe efficiency (NSE) are measured to assess model performance. In zone 1, 7-year coffee-based agroforestry stored higher SOC, neutralizing -10,83t CO2 eq ha-1 year−1 than 25-year soybean/corn crop rotation in zone 3, with emissions of 2,56t CO2eq ha-1 year-1. The agricultural systems of zones 3 and 4 turned out to be greater emitters, with 7 223 and 3 889t CO2 eq year-1, respectively, which could increase if CL continues to adopt agricultural practices that encourage full tillage. The beneficial effects of AFS on stored SOC are identified via field observations and correctly reproduced by RMSE evaluation.

A nivel mundial, el sector agropecuario ha representado la mayor fuente de emisiones de gases de efecto invernadero (GHG). Nuestra investigación hipotetiza si es posible definir fielmente el efecto de los factores de manejo del suelo en el modelado del secuestro de carbono orgánico del suelo (SOC) y la reducción de las emisiones de CO2 del suelo en diferentes sistemas agropecuarios para tres zonas de Villavicencio (Colombia) aplicando el modelo basado en procesos de nivel 1 del IPPC. Los sistemas agroforestales (AFS) se encuentran típicamente en la zona 1, y los sistemas intensivos de tierras de cultivo (CL) en las zonas 3 y 4. Las tasas de emisiones de CO2 del suelo se calculan de acuerdo con las directrices actuales del IPCC para los inventarios nacionales de GHG. Se evalúan el error cuadrático medio (RMSE, RMSE/n), el R2 y la eficiencia de Nash-Sutcliffe (NSE). En la zona 1, el sistema agroforestal de café de 7 años almacenó más SOC, neutralizando -10,83t CO2 eq ha-1 año-1 que el cultivo de soya/maíz en rotación de 25 años de la zona 3, con emisiones de 2,56t CO2eq ha-1 año-1. Los sistemas agropecuarios de las zonas 3 y 4 resultaron ser más emisoras, con 7 223 y 3 889t CO2 eq año-1 respectivamente, lo cual puede aumentar si el CL continúa adoptando prácticas agrícolas que incentiven la labranza convencional. Los efectos benéficos de los AFS sobre el SOC almacenado se identifican mediante observaciones de campo y se reproducen correctamente mediante la evaluación del RMSE.

References

Alcaldía de Villavicencio (2012). Diagnóstico sectorial de suelos. Alcaldía de Villavicencio, Gobernación del Meta, Villavicencio. https://es.slideshare.net/Skepper63/diagnostico-sectorialsuelo-villavicencio

Anderson-Teixeira, K. J., Wang M. M. H., McGarvey J. C., and LeBauer, D. S. (2016). Carbon dynamics of mature and re-growth tropical forests derived from a pantropical database (TropForC-db). Global Change Biology, 22(5), 1690-709. https://doi.org/10.1111/gcb.13226

Behnke, G. D., Zuber, S. M., Pittelkow, C. M., Nafziger, E. D., and Villamil, M. B. (2018). Long-term crop rotation and tillage effects on soil greenhouse gas emissions and crop production in Illinois, USA. Agricultural Ecosystems and Environment, 261, 62-70. https://doi.org/10.1016/j.agee.2018.03.007

Cardinael, R., Umulisa, V., Toudert, A., Olivier, A., Bockerl, L., and Bernoux, M. (2018). Revisiting IPCC Tier 1 coefficients for soil organic and biomass carbon storage in agroforestry systems. Environmental Research Letters, 13, 124020. https://doi.org/10.1088/1748-9326/aaeb5f

Chambers, A., Lal, R., and Paustian, K. (2016). Soil carbon sequestration potential of US croplands and grasslands: Implementing the 4 per Thousand Initiative. Journal of Soil and Water Conservation, 71(3), 68A-74A. https://doi.org/10.2489/jswc.71.3.68A

FAO (2018). Measuring and modelling soil carbon stocks and stock changes in livestock production systems – Guidelines for assessment (Draft for public review). Livestock Environmental Assessment and Performance (LEAP) Partnership, FAO.

Feliciano, D., Ledo, A., Hillier, J., and Nayak, D. R. (2018). Which agroforestry options give the greatest soil and above ground car-bon benefits in different world regions?. Agricultural Ecosystems and Environment, 254, 117-29. https://doi.org/10.1016/j.agee.2017.11.032

Franzluebbers, A. J. (2005). Soil organic carbon sequestration and agricultural greenhouse gas emissions in the southeastern USA. Soil Tillage Research, 83, 120-147. https://doi.org/10.1016/j.still.2005.02.012

Fujisaki, K., Perrin, A. S., Desjardins, T., Bernoux, M., Balbino, L. C. and Brossard, M. (2015). From forest to cropland and pasture systems: a critical review of soil organic carbon stocks changes in Amazonia. Globlal Change Biology, 21, 2773-2786. https://doi.org/10.1111/gcb.12906

García, D. Y., Cárdenas, J. F., and Parra, A. (2018). Evaluación de sistemas de labranza sobre propiedades fisicoquímicas y microbiológicas en un Inceptisol. Revista de Ciencias Agrícolas, 35(1), 16-25. https://doi.org/0000-0002-2501-4842

Haddaway, N. R., Hedlund, K., Jackson, L. E., Kätterer, T., Lugato, E., Thomsen, I. K., Jørgensen, H. B., and Isber, P.-E. (2017). How does tillage intensity affect soil organic carbon? A systematic review. Environmental Evidence, 6, 30. https://doi.org/10.1186/s13750-017-0108-9

Henderson, B. B., Gerber, P. J., Hilinski, T.E., Falcucci, A., Ojima, D.S., Salvatore, M., and Conant, R. T. (2015). Greenhouse gas mitigation potential of the world’s grazing lands: modeling soil carbon and nitrogen fluxes of mitigation practices. Agricultural Ecosystems and Environment, 207, 91-100. https://doi.org/10.1016/j.agee.2015.03.029

Huai, H., and Hamilton, A. (2009). Characteristics and functions of traditional homegardens: A review. Frontiers in Biology, 4, 151-157. https://doi.org/10.1007/s11515-008-0103-1

IPCC (2006). 2006 IPCC guidelines for national greenhouse gas inventories (vol. 4: Agriculture, Forestry and Other Land Use). InterGovernmental Panel on Climate Change.

Jadán, O., Cifuentes, M., Torres, B., Selesi, D., Veintimilla, D., and Günter, S. (2015). Influence of tree cover on diversity, carbon se-questration and productivity of cocoa systems in the Ecuatorian Amazon. Bois Forestry and Tropic, 325, 35-47. https://doi.org/10.19182/bft2015.325.a31271

Lal, R. (2018). Digging deeper: A holistic perspective of factors affecting soil organic carbon sequestration in agroecosystems. Global Change Biology, 24, 3285-3301. https://doi.org/10.1111/gcb.14054.

Lu, S., Meng, P., Zhang, J., Yin, C., and Sun, S. (2015). Changes in soil organic carbon and total nitrogen in croplands converted to walnut based agroforestry systems and orchards in southeastern Loess Plateau of China. Environmental Monitoring and Assessment, 187, 688. https://doi.org/10.1007/s10661-014-4131-9

Ludwig, B., Bergstermann, A., Priesack, E., and Flessa, H. (2011). Modelling of crop yields and N2O emissions from silty arable soils with different tillage in two long-term experiments. Soil Tillage Research, 112, 114-121. https://doi.org/10.1016/j.still.2010.12.005

Mangalassery, S., Dayal, D., Meena, S. L., and Ram, B. (2014). Carbon sequestration in agroforestry and pasture systems in arid northwestern India. Current Science, 107, 1290-1293. http://www.jstor.org/stable/24107170

Moriasi, D., Arnold, J., Liew, M. W. V., Bingner, R., Harmel, R., and Veith, T. (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. ASABE, 50, 885-899. https://swat.tamu.edu/media/1312/moriasimodeleval.pdf DOI: https://doi.org/10.13031/2013.23153

Nair, P. K. R. (1985). Classification of agroforestry systems. Agroforestry Systems, 3, 97-128. https://doi.org/10.1007/BF00122638

Nair, P. K. R. (2012). Carbon sequestration studies in agroforestry systems: A reality-check. Agroforestry Systems, 86, 243-53. https://doi.org/10.1007/s10457-011-9434-z

Nash, J. E., and Sutcliffe, J. V. (1970). River flow forecasting through conceptual models – Part I: A discussion of principles. Journal of Hydrology, 10, 282-290. https://doi.org/10.1016/0022-1694(70)90255-6

Nemo, Klumpp, K., Coleman, K., Dondini, M., Goulding, K., Hastings, A., Jones, M.B., Leifeld, J., Osborne, B., Saunders, M., Scott, T., The, Y. A., and Smith, P. 2017. Soil organic carbon (SOC) equilibrium and model initialisation methods: An application to the Rothamsted carbon (RothC) model. Environmental Modeling and Assessment, 22, 215-229. https://doi.org/10.1007/s10666-016-9536-0

Novaes, R. M., Pazianotto, R. A., Brandão, M., Alves, B.J., May, A., and Folegatti-Matsuura, M. I. (2017). Estimating 20-year land-use change and derived CO2 emissions associated with crops, pasture and forestry in Brazil and each of its 27 states. Global Change Biology, 23(9), 3716-3728. https://doi.org/10.1111/gcb.13708

Nyambo, P., Chiduza, C., and Araya, T. (2020). Carbon input and maize productivity as influenced by tillage, crop rotation, resi-due management and biochar in a semiarid region in South Af-rica. Agronomy, 10, 705. https://doi.org/10.3390/agronomy10050705

Ogle, S. M., Conant, R. T., and Paustian, K. (2004). Deriving grass-land management factors for a carbon accounting method developed by the intergovernmental panel on climate change. Environmental Management, 33(4), 474-484. https://doi.org/10.1007/s00267-003-9105-6

Ogle, S., Alsaker, C., Baldock, J., Bernoux, M., Breidt F, and McConkey, B. G. et al. (2019). Climate and soil characteristics determine where No-Till management can store carbon in soils and mitigate greenhouse gas emissions. Scientific Reports, 9, 11665. https://doi.org/10.1038/s41598-019-47861-7

Parra, A. S., De Figueiredo, E. B., and De Bordonal, R. O., Moitinho, M. R., De Bortoli Texeira, D., and La Scala Jr., N. (2019). Greenhouse gas emissions in conversion from extensive pasture to other agricultural systems in the Andean region of Colombia. Environment, Development and Sustainability, 21, 249-262. https://doi.org/10.1007/s10668-017-0034-6

Poeplau, C., Don, A., Vesterdal, L., Leifeld, J., Van Wesemael, B., Schumacher, J., and Gensior, A. (2011). Temporal dynamics of soil organic carbon after land-use change in the temperate zone— carbon response functions as a model approach. Global Change Biology, 17, 2415-2427. https://doi.org/10.1111/j.1365-2486.2011.02408.x

Popp, A., Calvin, K., Fujimori, S., Havlik, P., Humpenöder, F., Stehfest, E., Bodirsky, B. L., Dietrich J. P., Doelmann, J. C., Gusti, M., Hasegawa, T., Kyle, P., Obersteiner, M., Tabeau, A., Takahashi, K., Valin, H., Waldhoff, S., Weindl, I., Wise, M. … van Wuuren, D. P. (2017). Land-use futures in the shared socioeconomic pathways. Global Environmental Change, 42(1), 331-345. https://doi.org/10.1016/j.gloenvcha.2016.10.002

Silva, A. (2018). Modelación de los stocks de carbono del suelo y las emisiones de dióxido de carbono (GEI) en sistemas productivos de la Altillanura Plana. Orinoquia, 22, 158-271. https://doi.org/10.22579/20112629.525

Silva, A., and Orozco, D. (2018). Evaluación de tasas de pérdidas y ganancias de C asociadas a las emisiones y absorciones de CO2 en sistemas productivos del Ariari. Bistua: Facultad de Ciencias Básicas, 16, 124-128. https://doi.org/10.24054/01204211.v1.n1.2018.587

Smith, P., and Smith, J. (2007). Introduction to environmental modelling. Oxford University Press. https://assets.cambridge.org/97811075/71693/frontmatter/9781107571693_frontmatter.pdf

Department of Agriculture (1996). Laboratory methods manual, soil survey investigations report No. 42, version 3.0, January 1996. Department of Agriculture.

Thornton, P., and Herrero, M. (2010). Potential for reduced methane and carbon dioxide emissions from livestock and pasture management in the tropics. Proceedings of the National Academy of Sciences of the United States of America, 107, 19667-19672. https://doi.org/10.1073/pnas.0912890107

Van Oijen, M., Bellocchi, G., and Höglind, M. (2018). Effects of climate change on grassland biodiversity and productivity: The need for a diversity of models. Agronomy, 8(2), 14. https://doi.org/10.3390/agronomy8020014

Zaro, G. C., Caramori, P. H., Yada Junior, G. M., Sanquetta, C. R., Androcioli Filho, A., Nunes, A. L. P., Prete, C. E. C., Voroney, P. (2020). Carbon sequestration in an agroforestry system of coffee with rubber trees compared to open-grown coffee in southern Brazil. Agroforestry Systems, 94, 799-809. https://doi.org/10.1007/s10457-019-00450-z

How to Cite

APA

Silva Parra, A., García Ramirez, D. Y. & Lugo López, C. (2023). An Initial Approximation to the Simulation of Soil CO2 Emissions Using the IPCC Methodology in Agricultural Systems of Villavicencio. Ingeniería e Investigación, 43(2), e94777. https://doi.org/10.15446/ing.investig.94777

ACM

[1]
Silva Parra, A., García Ramirez, D.Y. and Lugo López, C. 2023. An Initial Approximation to the Simulation of Soil CO2 Emissions Using the IPCC Methodology in Agricultural Systems of Villavicencio. Ingeniería e Investigación. 43, 2 (Feb. 2023), e94777. DOI:https://doi.org/10.15446/ing.investig.94777.

ACS

(1)
Silva Parra, A.; García Ramirez, D. Y.; Lugo López, C. An Initial Approximation to the Simulation of Soil CO2 Emissions Using the IPCC Methodology in Agricultural Systems of Villavicencio. Ing. Inv. 2023, 43, e94777.

ABNT

SILVA PARRA, A.; GARCÍA RAMIREZ, D. Y.; LUGO LÓPEZ, C. An Initial Approximation to the Simulation of Soil CO2 Emissions Using the IPCC Methodology in Agricultural Systems of Villavicencio. Ingeniería e Investigación, [S. l.], v. 43, n. 2, p. e94777, 2023. DOI: 10.15446/ing.investig.94777. Disponível em: https://revistas.unal.edu.co/index.php/ingeinv/article/view/94777. Acesso em: 10 mar. 2026.

Chicago

Silva Parra, Amanda, Dayra Yisel García Ramirez, and Cristóbal Lugo López. 2023. “An Initial Approximation to the Simulation of Soil CO2 Emissions Using the IPCC Methodology in Agricultural Systems of Villavicencio”. Ingeniería E Investigación 43 (2):e94777. https://doi.org/10.15446/ing.investig.94777.

Harvard

Silva Parra, A., García Ramirez, D. Y. and Lugo López, C. (2023) “An Initial Approximation to the Simulation of Soil CO2 Emissions Using the IPCC Methodology in Agricultural Systems of Villavicencio”, Ingeniería e Investigación, 43(2), p. e94777. doi: 10.15446/ing.investig.94777.

IEEE

[1]
A. Silva Parra, D. Y. García Ramirez, and C. Lugo López, “An Initial Approximation to the Simulation of Soil CO2 Emissions Using the IPCC Methodology in Agricultural Systems of Villavicencio”, Ing. Inv., vol. 43, no. 2, p. e94777, Feb. 2023.

MLA

Silva Parra, A., D. Y. García Ramirez, and C. Lugo López. “An Initial Approximation to the Simulation of Soil CO2 Emissions Using the IPCC Methodology in Agricultural Systems of Villavicencio”. Ingeniería e Investigación, vol. 43, no. 2, Feb. 2023, p. e94777, doi:10.15446/ing.investig.94777.

Turabian

Silva Parra, Amanda, Dayra Yisel García Ramirez, and Cristóbal Lugo López. “An Initial Approximation to the Simulation of Soil CO2 Emissions Using the IPCC Methodology in Agricultural Systems of Villavicencio”. Ingeniería e Investigación 43, no. 2 (February 8, 2023): e94777. Accessed March 10, 2026. https://revistas.unal.edu.co/index.php/ingeinv/article/view/94777.

Vancouver

1.
Silva Parra A, García Ramirez DY, Lugo López C. An Initial Approximation to the Simulation of Soil CO2 Emissions Using the IPCC Methodology in Agricultural Systems of Villavicencio. Ing. Inv. [Internet]. 2023 Feb. 8 [cited 2026 Mar. 10];43(2):e94777. Available from: https://revistas.unal.edu.co/index.php/ingeinv/article/view/94777

Download Citation

CrossRef Cited-by

CrossRef citations0

Dimensions

PlumX

Article abstract page views

924

Downloads

Download data is not yet available.
Crossref
Scopus
Google Scholar
Europe PMC

License

Copyright (c) 2023 Amanda Silva Parra, Dayra Yisel García Ramirez, Cristobal Lugo López

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The authors or holders of the copyright for each article hereby confer exclusive, limited and free authorization on the Universidad Nacional de Colombia's journal Ingeniería e Investigación concerning the aforementioned article which, once it has been evaluated and approved, will be submitted for publication, in line with the following items:

1.    The version which has been corrected according to the evaluators' suggestions will be remitted and it will be made clear whether the aforementioned article is an unedited document regarding which the rights to be authorized are held and total responsibility will be assumed by the authors for the content of the work being submitted to Ingeniería e Investigación, the Universidad Nacional de Colombia and third-parties;

2.    The authorization conferred on the journal will come into force from the date on which it is included in the respective volume and issue of Ingeniería e Investigación in the Open Journal Systems and on the journal's main page (https://revistas.unal.edu.co/index.php/ingeinv), as well as in different databases and indices in which the publication is indexed;

3.    The authors authorize the Universidad Nacional de Colombia's journal Ingeniería e Investigación to publish the document in whatever required format (printed, digital, electronic or whatsoever known or yet to be discovered form) and authorize Ingeniería e Investigación to include the work in any indices and/or search engines deemed necessary for promoting its diffusion;

4.    The authors accept that such authorization is given free of charge and they, therefore, waive any right to receive remuneration from the publication, distribution, public communication and any use whatsoever referred to in the terms of this authorization.