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Soil carbon sequestration potential in a Vertisol in central India- results from a 43-year long-term experiment and APSIM modeling

Author

Listed:
  • Mohanty, M.
  • Sinha, Nishant K.
  • Somasundaram, J.
  • McDermid, Sonali S.
  • Patra, Ashok K.
  • Singh, Muneshwar
  • Dwivedi, A.K.
  • Reddy, K. Sammi
  • Rao, Ch. Srinivas
  • Prabhakar, M.
  • Hati, K.M.
  • Jha, P.
  • Singh, R.K.
  • Chaudhary, R.S.
  • Kumar, Soora Naresh
  • Tripathi, Prabhat
  • Dalal, Ram C.
  • Gaydon, Donald S.
  • Chaudhari, S.K.

Abstract

Soil organic matter dynamics in terrestrial ecosystems are controlled by complex interactions between various factors such as climate, soil, and agricultural management practices. We utilized a process-based crop model, APSIM, to simulate long-term soil organic carbon (SOC) dynamics for a soybean-wheat cropping system under nitrogen (N) and farmyard manure management (FYM) practices for a 43-year old experimental dataset in India. The APSIM was parameterized and validated to predict grain yield and SOC stock. The validated model was then used to evaluate the impacts of different management practices on SOC dynamics in the top 30 cm of soil through scenario modeling. The results of the APSIM simulations demonstrated that improved N and FYM management practices had great potential to increase SOC sequestration in these Vertisols. The equilibrium SOC concentration under different N management practices increased with a higher N application rate, with the integrated application of N with FYM showing the maximum rate. The optimum N (Nopt) rate for maximum SOC sequestration was estimated to be 155 kg ha−1 for wheat in the studied Vertisol and the time to reach steady-state of the site was 104 years. The Nopt increased SOC by about 28.6% over the initial concentration. We found that the APSIM was robust in predicting long-term changes in SOC stock (Index of agreement = 0.79 and root mean square error = 3.33 Mg ha−1, R2 = 0.92, mean bias error = −1.08) for a Vertisol soil of central India, in this case under a soybean-wheat cropping system. The study results highlighted that balanced fertilization is the key to sustaining SOC stock in the long-term for Vertisols.

Suggested Citation

  • Mohanty, M. & Sinha, Nishant K. & Somasundaram, J. & McDermid, Sonali S. & Patra, Ashok K. & Singh, Muneshwar & Dwivedi, A.K. & Reddy, K. Sammi & Rao, Ch. Srinivas & Prabhakar, M. & Hati, K.M. & Jha, , 2020. "Soil carbon sequestration potential in a Vertisol in central India- results from a 43-year long-term experiment and APSIM modeling," Agricultural Systems, Elsevier, vol. 184(C).
  • Handle: RePEc:eee:agisys:v:184:y:2020:i:c:s0308521x20307678
    DOI: 10.1016/j.agsy.2020.102906
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    1. Sonja Vermeulen & Deborah Bossio & Johannes Lehmann & Paul Luu & Keith Paustian & Christopher Webb & Flore Augé & Imelda Bacudo & Tobias Baedeker & Tanja Havemann & Ceris Jones & Richard King & Matthe, 2019. "A global agenda for collective action on soil carbon," Nature Sustainability, Nature, vol. 2(1), pages 2-4, January.
    2. Lucie Michel & David Makowski, 2013. "Comparison of Statistical Models for Analyzing Wheat Yield Time Series," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-11, October.
    3. Probert, M. E. & Dimes, J. P. & Keating, B. A. & Dalal, R. C. & Strong, W. M., 1998. "APSIM's water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems," Agricultural Systems, Elsevier, vol. 56(1), pages 1-28, January.
    4. Mohanty, M. & Reddy, K. Sammi & Probert, M.E. & Dalal, R.C. & Rao, A. Subba & Menzies, N.W., 2011. "Modelling N mineralization from green manure and farmyard manure from a laboratory incubation study," Ecological Modelling, Elsevier, vol. 222(3), pages 719-726.
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