CN-MIP is an international study coordinated together with the Integrative Research Group (IRG) of the Global Research Alliance on Agricultural Greenhouse Gases (GRA), which aims at benchmarking simulation models of yield, N2O and C fluxes, for a wide range of grassland and cropland situations, and testing agricultural mitigation options. The objective is to improve national greenhouse gases (GHG) inventories through Tier 3 method. The Intergovernmental Panel on Climate Change (IPCC) classifies the methodological approaches in three different Tiers, according to the quantity of information required, and the degree of analytical complexity.
The objectives of CN-MIP are:
CN-MIP joined the IRG group of the GRA with 10 teams and 9 models to achieve these objectives.
None of the 24 models tested has superior performance in all circumstances. Median prediction of models is a plausible estimator of yields, N2O emissions and C storage and provides a more robust estimator than individual models. A set of models (ensemble approach) allows unbiased estimate for main crops (maize, wheat, rice and grassland).
CN-MIP has several implications at local, regional and global levels, including the improvement of national inventories from Intergovernmental Panel on Climate Change (IPCC) Tier 1 or 2 methods to Tier 3 methods:
This project contributes to the international research program 4 per 1000, by evaluating the performance of soil C models to predict evolution of soil C stocks in response to agricultural practices.
*At the time of the proposal. Please consider this data as an accurate estimate; it may vary during the project’s lifespan.
Total costs include in kind contribution by grant holders and can therefore be higher than the total requested funding.