What contribution can agriculture make to climate protection and what are the costs for the farms when implementing an adaptation strategy? With a model-based analysis conducted with the farm group model FARMIS, we analyse and evaluate the effects of possible greenhouse gas (GHG) mitigation strategies.
Agricultural production leads to the emission of climate-damaging gases, which are becoming more and more the focus of climate policy within the framework of the current UN Climate Conference and the Federal Government's ambitious climate protection targets. For the first time, the National Climate Protection Plan for 2050 addresses agriculture as a field of action and defines sectoral reduction targets for 2030 (BMUB 2016). Because of the numerous small, diffuse GHG-sources, suitable and cost-effective GHG-mitigation measures are dependent on the various individual farm structures and processes. Accordingly, the development of GHG-mitigation measures requires approaches on farm level, which will be investigated in the present project.
The objective of the project is therefore to further develop the FARMIS farm group model methodologically in order to analyze the ecological and economic effects of GHG-mitigation strategies at the farm level.
For this purpose, the calculation of greenhouse gas emissions in FARMIS is based on the national GHG assessment method according to Rösemann et al. (2017). In addition, selected policy instruments (such as quotas, taxes or an N-surplus-levy) will be implemented in order to analyze their potential for an effective and efficient GHG-mitigation in the agricultural sector.
The project is based particularly on information from the national Farm Account Data Network (FADN). Additionally, data from the Association for Technology and Structures in Agriculture eV (KTBL) are used to categorize crop-based process alternatives according to production intensities. Furthermore, maps of the Federal Institute for Geosciences and Natural Resources (BGR) are blended with municipal boundaries of the federal and state statistical offices in order to determine the relative share of the land use type "drained organic soils" in the farm groups.
In addition to the analysis of GHG-emissions from the reference scenario (Thünen-Baseline according to Offermann et al. (2016)), these methodological extensions allow for the investigation of the suitability and relevance of alternative GHG-mitigation strategies relating to income, production and GHG-emissions, with particular regard to adaption strategies on farm level.
5.2017 - 6.2019
Project status: ongoing