Improving long-term predictions of carbon and nutrient dynamics in Australia's agro-ecosystems
Authors/Creators
- 1. Queensland University of Technology
- 2. DERM, Queensland
- 3. Department of Climate Change and Energy Efficiency, NCAT
- 4. CSIRO
- 5. DERM, Biloela, Queensland
- 6. DPIF, NT
- 7. University of Adelaide
- 8. Colorado State University, USA
- 9. University of Melbourne
Description
The objective of the ‘C & N Dynamics’ Working Group was to address a critical need to make the data from selected long-term trials accessible in the form of high quality datasets for use in validation of mechanistic biophysical models. Predictive modelling of carbon and nutrient dynamics in vegetation and soils has become an urgent need to address community and industry concerns for environmental and economic sustainability and to inform climate change policy development. However, the value of model predictions is dependent on the capacity of models to accurately simulate observed responses to key natural and management drivers such as climate, cultivation practices, stocking rate and fire on soil properties, on the productive capacity of soils and on the wider environment, including greenhouse gas emissions. Validation datasets from long-term trials will provide the basis for building confidence in model outputs and for understanding any differences in outputs from different models which is critical for increasing their value for policy as well as for research and farm management applications.
Files
C&N dynamics_final report_2013.pdf
Files
(1.6 MB)
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