Agricultural soils are relevant sources of greenhouse gases. The international research network MAGGnet aims at improving models to predict greenhouse gas emissions from agricultural soils and to assess mitigation measures.
The project MAGGnet will quantify greenhouse gas (GHG) mitigation potential of cropland management practices based on a recently developed database coordinated by the GRA Croplands Research Group. Specific objectives of the project include:
A comprehensive database containing land use induced GHG emissions and relevant environmental conditions will be build up within the project. This data base will be based on a data collection within the Global Research Alliance on Agricultural Greenhouse Gases containing metadata of experiments on the effects of mitigation measures on greenhousegas emissions.
Validated data will be used in meta-analyses approaches to quantify the effectiveness of mitigation practices through appropiate statistical models.Examined cropland practices may include fertilizer rate/type, tillage, crop rotation, crop type, cover crop use, residue management, livestock integration and other management options depending on the data available. Within regionalisation studies developed statistcal models will help to quantify the mitigation effects of specific management options.
The expanded database will be made available to other GRA research groups all of which are involved in improving predictive capabilities of process based models used to predict carbon dioxide, nitrous oxide and methane emissions from land use.
A comprehensive meta database containing field measurements of greenhouse gas emissions and related environmental conditions from agricultural areas around the globe was build up. The data might be used for further analyses of management effects on greenhouse gas fluxes from land use
1.2014 - 12.2016
Project status: finished