DNDC Introduction

DNDC: The Denitrification-Decomposition (DNDC) model was used to simulate carbon and nitrogen soil dynamics in the US corn belt as a function of the soil health management practices monitored by OpTIS (crop diversity, conservation tillage, and cover crops). Results are presented for observed (by OpTIS) adoption levels of these soil health management practices and for alternative scenarios where only conventional tillage and/or no cover cropping are practiced.
 
DNDC performs process-based simulations of nitrogen and carbon dynamics in agroecosystems. Based on environmental drivers (inputs like soil characteristics, temperature and precipitation data, crop characteristics, and crop management) the model predicts crop growth and yield, greenhouse gas emissions (such as carbon dioxide, methane, and nitrous oxide), and other environmental effects (like nitrogen leaching and runoff). DNDC is used widely around the world and has been tested against many field datasets in the US and abroad.
 
A new dataset released in June 2021 covers additional geography with notable expansions into Kansas, Michigan, Minnesota, Wisconsin, Kentucky, and Tennessee. The data are also now presented in the context of a two-year crop rotation with options to review by the previous and following cash crop for both tillage and winter cover. Both the OpTIS and DNDC pages have been updated with new charts and maps to further enhance identification of trends and opportunities to promote the adoption of conservation practices.
Data Release Date:
June, 2021
Data Provider: RegrowLicense
 
What is DNDC?

Want to learn more about the Denitrification-Decomposition (DNDC) model? Visit our information page.

DNDC Query Tables

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