DASIM Workshop III "Reducing nitrogen losses and greenhouse gas emissions from arable agriculture: How can new modelling concepts help?" in Garmisch-Partenkirchen
03.05.2023 - 04.05.2023
Goals:
- new research strategies on N dynamic and denitrification of agricultural fields
- novel model approach applications for N loss reduction and sustainable agriculture management
- improved simulation of soil O2 dynamics
- create a standardized method of model calibration
- discuss the opportunity and process of more rigorous model comparison study
- expand the modeler knowledge network
- establish a knowledge network on modeling of soil O2 and denitrification dynamics for improved simulation of N dynamics.
Clarify the limitations of soil O2dynamic and the anaerobic volume modelling,
collect and compare new and existing approaches for modelling anaerobic soil processes,
discuss experimental approaches and available data on anaerobic processes and O2dynamics in soils,
outline feasible concepts for improved simulation of soil O2dynamics,
establish a knowledge network on modelling of soil O2and denitrification dynamics.
DASIM Session BG1.7
Mon, Apr 26, 13:30 - 17:00
Nitrogen Cycling in the Anthropocene: Microbiological Processes, Land-atmosphere- Interactions and Global Change Feedbacks
DASIM Session BG1.2
Mon, Apr 4, 8:30 - 10:15
Nitrogen cycling in terrestrial and aquatic ecosystems: microbiological processes, gas fluxes, modelling, atmospheric impacts and global change feedbacks
DASIM Session BG2.14
Mon, Apr 8, 14:00 - 15:45, room 2.25
Poster Session Mon, Apr 8, 10:45 - 12:30, Hall A
Nitrogen transformations in soil and sediments: processes and upscaling
International symposium on advances in quantification, small scale resolution, controlling factors and process-based modelling.
Soil transformation processes generating N2O and N2 play a key role in the soil N cycle due to their implication for losses of reactive N and emission of gaseous N oxides to the atmosphere. Despite being intensively studied for a long time and numerous recent technological progresses, we still lack a comprehensive, quantitative understanding of denitrification rates in soils. This is in part due to methodical difficulties in measuring N2 production and emission at ambient concentrations of 78%. But also the complexity of the processes itself with their intricate cellular regulation in response to numerous factors varying at a small scale in space and time in the soil matrix prevents robust prediction of gaseous emissions.
The effective control at the field scale and the spatial variability of transformation processes resulting in N2O and N2 on a landscape scale is still not satisfactorily clarified. Due to the lack of suitable data sets, process -based denitrification models have rarely been validated and results of their application on site and regional scales are highly uncertain.
Recent technological improvements of experimental and analytical tools like measurements of N2 fluxes, linking structure and activity of denitrifying microbial communities with denitrification rates, small scale resolution of soil structure, improved numerical methods and computational power offer new opportunities in this area.
Oral session "Denitrification in Agricultural Soils - Integrated control and Modelling at various scales"
DASIM Session BG2.17
Wed, Apr 11, 10:30 - 12:00, room 2.31
Poster Session Wed, Apr 11, 15:30 - 17:00, Hall A
Nitrous oxide and dinitrogen fluxes from soils - Advances in small scale resolution, quantification, controlling factors and process-based modelling
International workshop with experts on denitrification models
Challenges, improvements, unresolved problems, new ideas, existing and new models, uncertainties, usefulness, requirements to data and models, advantages and disadvantages of existing models, validation of models, limitations of models,...
DASIM Session BG1.10
Fri, April 28, 13:30 - 17:00, room L2
Poster Session Fri, April 28, 17:30 - 19:00, Hall A
Nitrogen-transformation processes in terrestrial and aquatic ecosystems: advances in pathways-tracing, quantification and process-based modelling