Land use and water management effects on soil N2O emissions in the Hai He river basin, China
Final Report Abstract
The project aimed at the quantification of impacts of on-going and projected changes in land use, management and environmental conditions on the dynamic exchange of carbon and nitrogen components between the terrestrial ecosystem, atmosphere and hydrosphere. Model development was based on the quantification of spatial variability of N2O (as well as CH4 and CO2) fluxes at field scale obtained from eddy covariance (EC) quantum cascade laser (QCL) and static chamber measurements. Assessment of impacts of land use and management on exchange processes were obtained by analyzing long-term retrospective as well as prognostic model runs, including model results in response to different buffer strip widths. Here, the impact on C and N losses of grassed buffers in a riparian zone adjacent to uphill croplands has been investigated. For quantification of greenhouse gas (GHG) emissions and NO3 leaching on the landscape scale, impacts of regional hydrology processes (e.g., water table dynamics and nutrient dispersion) on the biogeochemical cycling of C and N were accounted for. To address this complexity, we coupled LandscapeDNDC, the regional version of MoBiLE, with the regional hydrological model CMF. LandscapeDNDC as well as the coupled system were used to assess the impact of changes in predicted land use, management, rainfall and soil conditions on C and N stocks, the net GHG exchange, water availability and quality (nitrate leaching). Simulations driven by a GIS database holding information on land use, soil and vegetation properties and climate created GHG inventories and sources strengths assessments on field (Buffer strips) and regional (Saxony, Yanting) scales for a series of actual and potential cropping systems under different development pathways, management practices and climate change scenarios.
Publications
- Towards the dynamic simulation of land use change and water management effects on soil N2O emissions: A coupled and parallelized multiphysics approach with Open- PALM. Indo-German-Conference on Modelling, Simulation and Optimization in Applications, Darmstadt (Germany), September 5-7, 2012
M. Wlotzka
- Dynamic Simulation of Land Management Effects on Soil N2O Emissions using a coupled Hydrology-Ecosystem Model on the Landscape Scale. EMCL Preprint No. 03 (2013)
M. Wlotzka, V. Heuveline, E. Haas, S. Klatt, D. Kraus, K. Butterbach-Bahl, P. Kraft, L. Breuer
(See online at https://dx.doi.org/10.11588/emclpp.2013.03.11824) - A parallel solution scheme for multiphysics evolution problems using OpenPALM. EMCL Preprint No. 01 (2014)
M. Wlotzka, V. Heuveline
(See online at https://dx.doi.org/10.11588/emclpp.2014.01.13758) - Parallel Multi-Physics Simulations using OpenPALM with Application to Hydro-Biogeochemistry Coupling. 6th International Conference on High Performance Scientific Computing, Hanoi (Vietnam), March 16-20, 2015
M. Wlotzka
(See online at https://doi.org/10.1007/978-3-319-67168-0_22) - Parallel multiphysics simulations using OpenPALM with application to hydrobiogeochemistry coupling. Proceedings of 6th International Conference on High Performance Scientific Computing, Hanoi (Vietnam), March 16-20, 2015
M. Wlotzka, V. Heuveline, S. Klatt, D. Kraus, E. Haas, R. Kiese, K. Butterbach-Bahl, P. Kraft, L. Breuer
(See online at https://doi.org/10.1007/978-3-319-67168-0_22) - Parameter-induced uncertainty quantification of regional N2O emissions and NO3 leaching using the biogeochemical model LandscapeDNDC. Synthesis and Modeling of Greenhouse Gas Emissions and Carbon Storage in Agricultural and Forest Systems to Guide Mitigation and Adaptation, Volume 6, pages 1-22. American Society of Agronomy, Inc., Crop Science Society of America, Inc., and Soil Science of America, Inc., 2015
S. Klatt, D. Kraus, K.-H. Rahn, C. Werner, R. Kiese, K. Butterbach-Bahl, E. Haas
(See online at https://dx.doi.org/10.2134/advagricsystmodel6.2013.0001) - Exploring impacts of vegetated buffer strips on nitrogen cycling using a spatially explicit hydro-biogeochemical modeling approach. Environmental Modelling & Software, Volume 90, April 2017, Pages 55-67
S. Klatt, D. Kraus, P. Kraft, L. Breuer, M. Wlotzka, V. Heuveline, E. Haas, R. Kiese, K. Butterbach-Bahl
(See online at https://doi.org/10.1016/j.envsoft.2016.12.002)
