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Canadian farm-level soil carbon change assessment by merging the greenhouse gas model Holos with the Introductory Carbon Balance Model (ICBM)

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Listed:
  • Kröbel, R.
  • Bolinder, M.A.
  • Janzen, H.H.
  • Little, S.M.
  • Vandenbygaart, A.J.
  • Kätterer, T.

Abstract

The farm-level model Holos, developed to explore mitigation options for greenhouse gas emissions (GHG) from Canadian farming systems, includes soil carbon change as a prominent component. Soil carbon was assumed to be constant, except where there was recent change in land use or management (e.g., conventional vs. reduced vs. no tillage). The factors associated with the changes were derived using CENTURY model simulations. To make Holos more responsive to farm management (e.g., crop rotation and residue management) and inter-annual climate variation, it was decided to replace the carbon change factors with the Introductory Carbon Balance Model (ICBM), a simple two carbon pool model driven by inputs from above- and belowground crop residues and manure. We showcase how the model will simulate the impact of crop rotation management decisions on soil carbon change, focussing on the choice of crop and crop residue retention, but considering also tillage and fertilization management. We argue that simulating carbon change at each field involved in the rotation is advantageous because it allows to test the rotation resilience with respect to inter-annual climate variation as well as to validate the model outputs using measurements of scientific long-term field experiments. We propose to report the farm-level carbon change results ranging from annual to centennial time frames which would be in line with the reporting requirements in carbon credit programs, while giving the user the capability to project and test new crop rotation systems using long-term carbon change forecasts.

Suggested Citation

  • Kröbel, R. & Bolinder, M.A. & Janzen, H.H. & Little, S.M. & Vandenbygaart, A.J. & Kätterer, T., 2016. "Canadian farm-level soil carbon change assessment by merging the greenhouse gas model Holos with the Introductory Carbon Balance Model (ICBM)," Agricultural Systems, Elsevier, vol. 143(C), pages 76-85.
  • Handle: RePEc:eee:agisys:v:143:y:2016:i:c:p:76-85
    DOI: 10.1016/j.agsy.2015.12.010
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    References listed on IDEAS

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    1. Bontkes, Tjark Struif & Keulen, Herman van, 2003. "Modelling the dynamics of agricultural development at farm and regional level," Agricultural Systems, Elsevier, vol. 76(1), pages 379-396, April.
    2. David J. Pannell, 1996. "Lessons from a Decade of Whole-Farm Modeling in Western Australia," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 18(3), pages 373-383.
    3. Beauchemin, Karen A. & Henry Janzen, H. & Little, Shannan M. & McAllister, Tim A. & McGinn, Sean M., 2010. "Life cycle assessment of greenhouse gas emissions from beef production in western Canada: A case study," Agricultural Systems, Elsevier, vol. 103(6), pages 371-379, July.
    4. Antle, John & Capalbo, Susan & Mooney, Sian & Elliott, Edward & Paustian, Keith, 2003. "Spatial heterogeneity, contract design, and the efficiency of carbon sequestration policies for agriculture," Journal of Environmental Economics and Management, Elsevier, vol. 46(2), pages 231-250, September.
    5. Fortin, J.G. & Bolinder, M.A. & Anctil, F. & Kätterer, T. & Andrén, O. & Parent, L.E., 2011. "Effects of climatic data low-pass filtering on the ICBM temperature- and moisture-based soil biological activity factors in a cool and humid climate," Ecological Modelling, Elsevier, vol. 222(17), pages 3050-3060.
    6. M. Bolinder & J. Fortin & F. Anctil & O. Andrén & T. Kätterer & R. Jong & L. Parent, 2013. "Spatial and temporal variability of soil biological activity in the Province of Québec, Canada (45–58 °N, 1960–2009)—calculations based on climate records," Climatic Change, Springer, vol. 117(4), pages 739-755, April.
    7. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    8. Pannell, David J. & Malcolm, Bill & Kingwell, Ross S., 2000. "Are we risking too much? Perspectives on risk in farm modelling," Agricultural Economics, Blackwell, vol. 23(1), pages 69-78, June.
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    Cited by:

    1. Alemu, Aklilu W. & Amiro, Brian D. & Bittman, Shabtai & MacDonald, Douglas & Ominski, Kim H., 2017. "Greenhouse gas emission of Canadian cow-calf operations: A whole-farm assessment of 295 farms," Agricultural Systems, Elsevier, vol. 151(C), pages 73-83.
    2. Alemu, Aklilu W. & Janzen, Henry & Little, Shannan & Hao, Xiying & Thompson, Donald J. & Baron, Vern & Iwaasa, Alan & Beauchemin, Karen A. & Kröbel, Roland, 2017. "Assessment of grazing management on farm greenhouse gas intensity of beef production systems in the Canadian Prairies using life cycle assessment," Agricultural Systems, Elsevier, vol. 158(C), pages 1-13.
    3. Li, Ziwei & Qi, Zhiming & Jiang, Qianjing & Sima, Nathan, 2021. "An economic analysis software for evaluating best management practices to mitigate greenhouse gas emissions from cropland," Agricultural Systems, Elsevier, vol. 186(C).

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