Modeling of greenhouse gas emissions from peatlands in Germany: merging statistical and process based model approaches (MODELPEAT)
The project MODELPEAT focuses on the development of innovative tools for reliable GHG-emission estimates from peatlands. Currently the German greenhouse gas (GHG) emission inventory uses empirical modeling to derive spatially explicit annual GHG emissions estimates for peatlands. However, there is a rising interest in evaluating these calculations by implementing independent modeling techniques, to better account for potential uncertainties of the inventories. With this integrated proposal HSWT and KIT-IMK-IFU will jointly work on the topic “Modeling GHG emissions from peatlands and organic soils” (MODELPEAT) of the BMBF-funded project ITMS Q&S_II (Integriertes Treibhausgas-Monitoringsystem für Deutschland Quellen und Senken II) call, aiming to improve bottom up GHG inventories for peat soils. To achieve the best outcomes, in MODELPEAT we focus on both:
- developing a process-oriented submodel of the biogeochemical model LandscapeDNDC for peatland GHG-exchange as well as
- optimizing the empirical modeling approach
The performance of the two techniques will be compared at different temporal and spatial resolutions, to better identify the individual strengths, weaknesses and uncertainties.
Objectives
- Refinement and optimization of both statistical and process-based approaches for modeling greenhouse gas emissions in peatlands
- Calculation of detailed emission inventories of peatland soils for the federal state of Bavaria
- Comparison of the performance of empirical modelation with that of a process-oriented approach and evaluation of the uncertainties
- Identification of spatial and temporal patterns of GHG exchange of natural, drained and rewetted peatlands and assessment of their relevance for the development of GHG mitigation strategies
- Development of a GIS-based modelling framework for an improved characterization of GHG emissions (exemplarily for the state Bavaria later transferred to German scale)
Working Packages
WP1
- Compilation and quality control of existing data
- Collection of important supplementary data for selected experimental sites
- Compilation of real time data for selected benchmark sites
WP2
- Development of a new sub-model for peat soils in the model LandscapeDNDC
- Development of a „Calibration-Validation Framework“ for model evaluation
- Simulation of a full greenhouse gas budget (CO2, N2O, CH4) for selected sites in high temporal resolution
- Optimization of the statistical modeling
WP3
- GIS-based modeling framework
- Hydrological modeling of water table depth
WP4
- Application of LandscapeDNDC for calculation of GHG emission inventories of peat soils for Bavaria
- Comparison of statistical with process-based model approach and uncertainty analysis
- Identification of hot spots and development of mitigation strategies
- Testing of modelling framework at national scale
- Publications and final report
Literature used
- Haas et al., 2012: LandscapeDNDC: a process model for simulation of biosphere-atmosphere-hydrosphere exchange processes at site and regional scale. Landscape Ecol. 1–22
- Kraus et al., 2015: A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems. Plant Soil 386, 125–149
Project execution (external)
Partners
Adressierte SDGs (Sustainable Development Goals)
