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Learning lab: DNDC Modeling: Effects of Climate Smart Agriculture Interventions on Greenhouse Gas Emissions
byANH Academy
Academy Week Learning Lab
Date and Time
From: 21 June 2023, 16:30
To: 21 June 2023, 18:30 - CAT (GMT+2)
Open Full Event DNDC Modeling Effects of Climate Smart

The times of this event are in CAT

Level: Intermediate



We will provide training on different aspects of DNDC modelling. It will be both theoretical and practical training. The DeNitrification-Decomposition (DNDC) model is a computer simulation model of carbon and nitrogen biogeochemistry in agro-ecosystems. There are two components of the model. Sub-models on soil climate, crop growth, and decomposition, which estimate the soil redox potential, ph, temperature, and moisture, form the first component. The second component contains sub-models on nitrification, denitrification, and fermentation, which can predict emissions of various gases like methane (CH4), nitrous oxide (N2O), carbon dioxide (CO2), and ammonia (NH3). The DNDC model can simulate crop yields, soil organic and inorganic content levels, nitrogen leaching, and CO2, CH4, and NO2 emissions. To simulate the parameters mentioned above for a particular scenario, the user would need to provide input data on four main ecological drivers of the DNDC model: climate, soil, vegetation, and management practices. The objective of these simulations is to support the policymakers in taking necessary action to achieve a nation's vision of becoming a net-zero emissions country by 2070.


Preparation materials 

We recommend that you visit the resources prior to attending the session. 

  • Suresh Babu (International Food Policy Research Institute, Washington D.C.) 
  • Ruthwik Kuppachi (University of Maryland)
  • Mousumi K. Bhattacharjee (Tata Institute of Social Sciences)



Check out our ANH2023 communications toolkit media toolkit for useful Twitter handles, graphics and other materials. 


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