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Collaborative project: Modelling and measuring greenhouse gas emissions and nitrogen-leaching from raw material crop rotations (MASTER)
Project
Project code: 22025917
Contract period: 01.03.2019
- 28.02.2022
Budget: 429,859 Euro
Purpose of research: Experimental development
Keywords: greenhouse gas emissions, crop rotation, humus production, renewable ressources
The aim of this project is to expand knowledge about greenhouse gas emissions, carbon sequestration and carbon dynamics in cropping systems for the production of raw materials, in order to derive realisable, site-specific mitigation strategies. To achieve this, N2O emissions will be measured with high temporal resolution in long-term field experiments, and greenhouse gas formation processes (microbial processes, carbon storage and degradation) will be analysed. In field trials at the Viehhausen (Bavaria) site, typical local crop rotations with the crops maize, oilseed rape, wheat and clover will be investigated. Organic and mineral fertilizers (biogas digestate, liquid manure, mineral N), treatments with different tillage methods and catch crop cultivation will be included in analyses. The cropping systems will be analysed with regards to their short- and long-term effects on soil fertility and soil processes, yield formation and product quality, as well as environmental, climate and resource efficiency. The measurement of N2O fluxes will elucidate mechanisms and factors influencing N2O formation. The as yet unquantified long-term effects of crop rotations and fertilization systems will be investigated. A key innovation is to link the analysis of the N-dynamics in soils and the N2O flows with C-turnover processes in soils. The N2O measurement data will also be used to validate our models. Analysis of long-term humus and carbon stock dynamics will enable the derivation of humus reproduction coefficients for energy crops and digestate. Nitrogen, humus, energy and greenhouse gas balances will be calculated based on measurement data from our own experiments and experimental data from previous experiments. Experimental data will be stored promptly and continuously in a project database in order to enable data analysis from all locations.
Section overview
Subjects
- Resource management
- Renewable Resources
- Climate Change
