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RESEARCH ARTICLE

Modelling the effects of stover harvest on soil organic carbon in the Pampas of Argentina

Roberto Alvarez https://orcid.org/0000-0002-4149-4508 A B C and Josefina L. De Paepe A B
+ Author Affiliations
- Author Affiliations

A Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martín 4453 (1417), Buenos Aires, Argentina.

B CONICET, Av. San Martín 4453 (1417), Buenos Aires, Argentina.

C Corresponding author. Email: ralvarez@agro.uba.ar

Soil Research 57(3) 257-265 https://doi.org/10.1071/SR18262
Submitted: 1 September 2018  Accepted: 28 January 2019   Published: 12 February 2019

Abstract

Our objective was to estimate the impact of harvesting stover from agricultural crops to generate biofuels or electricity on the soil organic carbon levels of the Pampean Region in Argentina. For this purpose, a carbon balance methodology based on artificial neural networks was used. Contrasting soil carbon scenarios for different subregions were constructed using a current map of organic carbon and statistical data for crop rotations. Average yields were also estimated using this information. The neural network methodology allowed calculating the annual carbon balance as the difference between estimating the contribution of carbon in crop residues (stover + roots) to the soil and losses as heterotrophic respiration. The model was run for each level of residue input until the soil carbon attained a steady-state. Current rotations were modelled, with predominance of soybean (Glycine max (L.) Merr.) and alternatives that included a greater proportion of wheat (Triticum aestivum L.) and corn (Zea mays L.). Only the stover of these latter two crops was considered to be partially harvested (30% and 60%). The input of carbon to soil was highly dependent on rotation, increasing as the proportion of wheat and corn in the rotation and the level of yield increased. In contrast, stover harvest had little impact on the carbon input due to the low proportion of both crops in the predominant current rotation. By increasing the proportion of cereal crops or the technological level and yield, it was possible to compensate for the effect of stover harvest on soil carbon. The carbon input from residue needed to maintain soil carbon ranged within 2.0–6.0 t C ha–1 year–1 depending on the initial soil carbon level. Retention efficiency of residue carbon was ~30% across different management scenarios. It is not recommended to harvest more than 30% of the stover in order to maintain the level of carbon in the soil organic matter of many Pampean soils.

Additional keywords: carbon sequestration, soil degradation, stubble management.


References

Adler PR, Del Grosso SJ, Parton WJ (2007) Life-cycle assessment of net greenhouse-gas flux for bioenergy cropping systems. Ecological Applications 17, 675–691.
Life-cycle assessment of net greenhouse-gas flux for bioenergy cropping systems.Crossref | GoogleScholarGoogle Scholar | 17494388PubMed |

Alvarez R, Lavado RS (1998) Climate, organic matter and clay content relationships in the Pampa and Chaco soils, Argentina. Geoderma 83, 127–141.
Climate, organic matter and clay content relationships in the Pampa and Chaco soils, Argentina.Crossref | GoogleScholarGoogle Scholar |

Alvarez R, Santanatoglia O, Daniel P, García R (1995a) Respiration and specific activity of soil microbial biomass under conventional and reduced tillage. Pesquisa Agropecuária Brasileira 30, 701–709.

Alvarez R, Santanatoglia O, Daniel P, García R (1995b) Soil respiration, microbial biomass and organic matter contribution of crops in a wheat-soybean rotation. Soil Use and Management 11, 45–50.
Soil respiration, microbial biomass and organic matter contribution of crops in a wheat-soybean rotation.Crossref | GoogleScholarGoogle Scholar |

Alvarez R, Santanatoglia O, Daniel P, García R (1996) Plant and microbial contribution to soil respiration under zero and disc tillage. European Journal of Soil Biology 32, 173–177.

Alvarez R, Russo M, Prystupa P, Sheiner J, Blotta L (1998) Soil carbon pools under conventional and no-tillage systems in the Argentine Rolling Pampa. Agronomy Journal 90, 138–143.
Soil carbon pools under conventional and no-tillage systems in the Argentine Rolling Pampa.Crossref | GoogleScholarGoogle Scholar |

Alvarez R, Alvarez C, Lorenzo G (2001) CO2-C fluxes following tillage from a Mollisol in the Argentine Rolling Pampa. European Journal of Soil Biology 37, 161–166.
CO2-C fluxes following tillage from a Mollisol in the Argentine Rolling Pampa.Crossref | GoogleScholarGoogle Scholar |

Alvarez R, Steinbach HS, Bono A (2011) An artificial neural network approach for predicting soil carbon budget in agroecosystems. Soil Science Society of America Journal 75, 965–975.
An artificial neural network approach for predicting soil carbon budget in agroecosystems.Crossref | GoogleScholarGoogle Scholar |

Alvarez R, Steinbach HS, De Paepe JL (2015) Carbono orgánico. In ‘Fertilidad de suelos y fertilización en la Región Pampeana’. (Ed. R Alvarez) pp. 47–91. (Editorial FAUBA: Buenos Aires)

Alvarez R, Steinbach HS, De Paepe JL (2016) Historical balance of nitrogen, phosphorus, and sulfur of the Argentine Pampas. Ciencia del Suelo 34, 231–244.

Anderson-Teixeira KJ, Davis SC, Masters MD, Delucia EH (2009) Changes in soil organic carbon under biofuel crops. Global Change Biology. Bioenergy 1, 75–96.
Changes in soil organic carbon under biofuel crops.Crossref | GoogleScholarGoogle Scholar |

Batchelor WD, Yang XB, Tschanz AT (1997) Development of a neural network for soybean rust epidemics. Transactions of the ASAE. American Society of Agricultural Engineers 40, 247–252.
Development of a neural network for soybean rust epidemics.Crossref | GoogleScholarGoogle Scholar |

Berhongaray G, Alvarez R, De Paepe J, Caride C, Cantet R (2013) Land use effects on soil carbon in the Argentine Pampas. Geoderma 192, 97–110.
Land use effects on soil carbon in the Argentine Pampas.Crossref | GoogleScholarGoogle Scholar |

Blanco-Canqui H (2010) Energy crops and their implication on soil and the environment. Agronomy Journal 102, 403–419.
Energy crops and their implication on soil and the environment.Crossref | GoogleScholarGoogle Scholar |

Blanco-Canqui H, Lal R (2007) Soil structure and organic carbon relationships following 10 years of wheat straw management in no-till. Soil & Tillage Research 95, 240–254.
Soil structure and organic carbon relationships following 10 years of wheat straw management in no-till.Crossref | GoogleScholarGoogle Scholar |

Bolinder MA, Janzen HH, Gregorich EG, Angers DA, VandenBygaart AJ (2007) An approach for estimating net primary productivity and annual carbon inputs to soil for common agricultural crops in Canada. Agriculture, Ecosystems & Environment 118, 29–42.
An approach for estimating net primary productivity and annual carbon inputs to soil for common agricultural crops in Canada.Crossref | GoogleScholarGoogle Scholar |

Bonel JA, Puricelli CA, Novello P (1972) Influencia de diferentes manejos sobre la disponibilidad de nitrógeno y de agua a través del año en un suelo Brunizem de Marcos Juarez (Cba.) 1965–1970. Publicación técnica 3, EERA Marcos Juarez, Argentina.

Bono A, Alvarez R, Buschiazzo D, Cantet R (2008) Tillage effects on soil carbon balance in a semiarid agroecosystem. Soil Science Society of America Journal 72, 1140–1149.
Tillage effects on soil carbon balance in a semiarid agroecosystem.Crossref | GoogleScholarGoogle Scholar |

Bono A, Alvarez R, De Paepe JL (2017) Water use of wheat, corn and sunflower in the Semiarid Pampa. Ciencia del Suelo 35, 273–283.

Brouwer RK (2004) A hybrid neural network for input that is both categorical and quantitative. International Journal of Intelligent Systems 19, 979–1001.
A hybrid neural network for input that is both categorical and quantitative.Crossref | GoogleScholarGoogle Scholar |

Casanovas EM, Echeverría HE, Studdert GA (1995) Materia orgánica del suelo bajo rotaciones de cultivos. I Contenido total y de distintas fracciones. Ciencia del Suelo 13, 16–20.

Galantini J (2005) Calidad y dinámica de las fracciones orgánicas en sistemas naturales y cultivados. Actas Jornadas Materia Orgánica y Sustancias Húmicas (Argentina)

Hall AJ, Rebella C, Guersa C, Culot J (1992) Field-crop system of the Pampas. In ‘Field crop ecosystems’. (Ed. CJ Pearson) pp. 413–450. (Elsevier: Amsterdam)

Hilbert JA (2013) El uso de los residuos de origen vegetal en la generación de energía. Energía. Año CI(1518), 30–36. Available at https://www.bcr.com.ar/Secretara%20de%20Cultura/Revista%20Institucional/2012/ Diciembre/Energ%C3%ADa.pdf [In Spanish]

INTA (2018) Perfil tecnológico. Available at https://inta.gob.ar/documentos/perfil-tecnologico-de-la-produccion-agropecuaria-argentina [verified 25 July 2018]. [In Spanish]

Jorgensen SE, Bendoricchio G (2001) ‘Fundamentals of ecological modelling.’ 3rd edn. (Elsevier: Oxford, UK)

Johnson JF, Allmaras RR, Reicosky DC (2006) Estimating source carbon from crop residues, roots and rhizodeposits using the national grain-yield database. Agronomy Journal 98, 622–636.
Estimating source carbon from crop residues, roots and rhizodeposits using the national grain-yield database.Crossref | GoogleScholarGoogle Scholar |

Johnson JME, Novak JM, Varvel GE, Sott DE, Osborne SL, Karlen DL, Lamb JA, Baker J, Adler PR (2014) Crop residue mass needed to maintain soil organic carbon levels: can it be determined? Bioenergy Reseach 7, 481–490.
Crop residue mass needed to maintain soil organic carbon levels: can it be determined?Crossref | GoogleScholarGoogle Scholar |

Karlen DL, Birell SJ, Hess JR (2011) A five-year assessment of corn stoker harvest in central Iowa, USA. Soil & Tillage Research 115–116, 47–55.
A five-year assessment of corn stoker harvest in central Iowa, USA.Crossref | GoogleScholarGoogle Scholar |

Kaul M, Hill RL, Walthall C (2005) Artificial neural networks for corn and soybean yield prediction. Agricultural Systems 85, 1–18.
Artificial neural networks for corn and soybean yield prediction.Crossref | GoogleScholarGoogle Scholar |

Lal R (2009) Soil quality impacts of residue removal for ethanol production. Soil & Tillage Research 102, 233–241.
Soil quality impacts of residue removal for ethanol production.Crossref | GoogleScholarGoogle Scholar |

Lee JHW, Huang Y, Dickman M, Jayawardena AW (2003) Neural network modeling of coastal algal blooms. Ecological Modelling 159, 179–201.
Neural network modeling of coastal algal blooms.Crossref | GoogleScholarGoogle Scholar |

Lehtinen T, Schlatter N, Baumgarten A, Bechini L, Krüger J, Grignani C, Zavattaro L, Costamagna C, Spiegel H (2014) Effect of crop residue incorporation on soil organic carbon and greenhouse gas emissions in European agricultural soils. Soil Use and Management 30, 524–538.
Effect of crop residue incorporation on soil organic carbon and greenhouse gas emissions in European agricultural soils.Crossref | GoogleScholarGoogle Scholar |

Liska AJ, Yang H, Milner M, Goddart S, Blanco-Canqui H, Pelton MP, Fang XX, Zhu H, Suyker AE (2014) Biofuels from crop residue can reduce soil carbon and increase CO2 emissions. Nature Climate Change 4, 398–401.
Biofuels from crop residue can reduce soil carbon and increase CO2 emissions.Crossref | GoogleScholarGoogle Scholar |

Meki MN, Snider JL, Kiniry JR, Raper RL, Rocateli AC (2013) Energy sorghum biomass harvest thresholds and tillage effects on soil organic carbon and bulk density. Industrial Crops and Products 43, 172–182.
Energy sorghum biomass harvest thresholds and tillage effects on soil organic carbon and bulk density.Crossref | GoogleScholarGoogle Scholar |

Menendez JE, Hilbert JA (2013) Cuantificación y uso de biomasa de residuos de cultivos en Argentina para bioenergía. Informe técnico bioenergía 2013, año 2, N° 4. (Ediciones INTA: Buenos Aires, Argentina)

MinAgri (2018) Estimaciones agrícolas. Available at www.minagri.gob.ar [verified 13 January 2018].

Montico S, Di Leo N (2015) Energía potencialmente obtenible de los rastrojos de cultivos en Argentina. Available at www.unr.edu.ar/descargar.php?id=4593. [verified 13 February 2018].

Okeyo JM, Norton J, Koala S, Waswa B, Kihara J, Bationo A (2016) Impact of reduced tillage and crop residue management on soil properties and crop yields in a long-term trial in western Kenya. Soil Research 54, 719–772.
Impact of reduced tillage and crop residue management on soil properties and crop yields in a long-term trial in western Kenya.Crossref | GoogleScholarGoogle Scholar |

Özesmi SL, Tan CO, Özesmi U (2006) Methodological issues in building, training, and testing artificial neural networks in ecological applications. Ecological Modelling 195, 83–93.
Methodological issues in building, training, and testing artificial neural networks in ecological applications.Crossref | GoogleScholarGoogle Scholar |

Parton WJ, Scurlock JMO, Ojima DS, Gilmanov TG, Scholes RJ, Schimel DS, Kirchner S, Menault JC, Seastedt T, García Moya E, Kamnalrut A, Kinyamario JI (1993) Observations and modeling of biomass and soil organic matter for the grassland biome worldwide. Global Biogeochemical Cycles 7, 785–809.
Observations and modeling of biomass and soil organic matter for the grassland biome worldwide.Crossref | GoogleScholarGoogle Scholar |

Potter KN, Velazquez-García J, Scopel E, Torbert HA (2007) Residue removal and climatic effects on soil carbon content of no-till soils. Journal of Soil and Water Conservation 62, 110–114.

Powlson DS, Glendining MJ, Coleman K, Whitmore AP (2011) Implications for soil properties of removing cereal straw: results from long-term studies. Agronomy Journal 103, 279–287.
Implications for soil properties of removing cereal straw: results from long-term studies.Crossref | GoogleScholarGoogle Scholar |

Quiroga A, Buschiazzo DE, Peinemann N (1996) Soil organic matter particle size fractions in soils of the Semiarid Argentinean Pampas. Soil Science 161, 104–108.
Soil organic matter particle size fractions in soils of the Semiarid Argentinean Pampas.Crossref | GoogleScholarGoogle Scholar |

Quiroga A, Ormeño O, Peinemann N (1998) Efectos de la siembra directa sobre propiedades físicas de los suelos. In ‘Siembra Directa’. (Eds JL Panigatti, H Marelli, D Buschiazzo, R Gil) pp. 57–63. (Editorial Hemisferio Sur SA: Buenos Aires, Argentina)

Satorre E, Slafer G (1999) Wheat production systems of the Pampas. In ‘Wheat. Ecology and physiology of yield determination’. (Eds E Satorre, G Slafer) pp. 333–348. (CRC Press: Boca Raton, USA)

Studdert GA, Echeverría HE (2000) Crop rotation and nitrogen fertilization to manage soil organic carbon dynamics. Soil Science Society of America Journal 64, 1496–1503.
Crop rotation and nitrogen fertilization to manage soil organic carbon dynamics.Crossref | GoogleScholarGoogle Scholar |

Surekha K, Padma Kumari AP, Narayana Reddy M, Satyanarayana K, Sta Cruz PC (2003) Crop residue management to sustain soil fertility and irrigated rice yields. Nutrient Cycling in Agroecosystems 67, 145–154.
Crop residue management to sustain soil fertility and irrigated rice yields.Crossref | GoogleScholarGoogle Scholar |

Tan Z, Liu S (2015) Corn Belt soil carbon and macronutrient budgets with projected sustainable stover harvest. Agriculture, Ecosystems & Environment 212, 119–126.
Corn Belt soil carbon and macronutrient budgets with projected sustainable stover harvest.Crossref | GoogleScholarGoogle Scholar |

Tan Z, Liu S, Bliss N, Tieszen LL (2012) Current and potential sustainable corn stover feedstock for biofuel production in the United States. Biomass and Bioenergy 47, 372–386.
Current and potential sustainable corn stover feedstock for biofuel production in the United States.Crossref | GoogleScholarGoogle Scholar |

Tarkalson DD, Brown B, Kok H, Bjorneberg DL (2011) Small grain residue management effects on soil organic carbon: a literature review. Agronomy Journal 103, 247–252.
Small grain residue management effects on soil organic carbon: a literature review.Crossref | GoogleScholarGoogle Scholar |

Wang J, Wang X, Xu M, Feng G, Zhang W, Lu C (2015) Crop yield and soil organic matter alter long-term straw return to soil in China. Nutrient Cycling in Agroecosystems 102, 371–381.
Crop yield and soil organic matter alter long-term straw return to soil in China.Crossref | GoogleScholarGoogle Scholar |