Management practices being promoted to Queensland sugarcane growers have been found to reduce nitrogen loss from the paddock by 66%, even under future climate change scenarios.
Further research on the use of the 20CRP data for agricultural insurance and seasonal forecasting is needed as development of the database continues.
Case studies have been developed for a number of crops and are being published here as they become available.
We have improved our forecasting skill at using the Indian Ocean as a climate driver.
Modelling has shown the trade-off between sowing date and frost risk. Frost forecasts may only be of value in areas where there is small yield potential with delayed sowing and where there is a high frost risk.
The risk of frost is significantly affected when there are large monthly or seasonal temperature deviations during a particularly warm or cold season.
This project provided short-term interim solutions to improve reliability and utilisation of POAMA seasonal climate forecasts.
SEACI 1 was extended for 6 months to June 2009. SEACI 2 continues to focus on climate change, forecasting skill and the prediction of runoff and soil moisture.
SEACI 1 has helped define the implications of climate change for runoff in the Murray Basin, the level of climate change already experienced and the role of key drivers, including the Indian Ocean Dipole, the Southern Annual Mode and the Pacific Ocean.
Focusing on sub-tropical eastern Australia – including the northern grains belt, southern cane industry, the southern Qld and northern NSW dairy industry, subtropical grazing, most of Australia’s cotton industry and a range of subtropical horticultural crops – this project identified key climate science R&D necessary to improve existing forecast skill.
Extension and adoption of climate risk management technologies.
This project helped researchers and their selected clients understand how various decisions are made, using a framework based on Real Options.