Uncertain water allocations and water trading prices are a key constraint to efficient irrigated cropping and water trading decisions. This study shows that neural network models can reasonably forecast seasonal allocations and trading prices in water markets. These models can complement other...

Alternate wetting and drying (AWD) has been attracting increasing interest, because it seems to reach several useful objectives: using less water to achieve the same result; thus increasing water productivity and profitability. It is the most widely adopted water-saving irrigation practice in...

The main purpose of the study was to determine the impact of ponds on the adoption of water-saving irrigation (WSI) practices. We hypothesized that access to ponds would increase the likelihood of practicing alternate wetting and drying (AWD). While it seems reasonable that the ability to access...

Public–private partnerships have been implemented throughout the world since the 1970s with mixed results. This is mainly due to the lack of long run commitments from governments and other parties involved, lack of scientific understanding regarding clear short term and long-term potential...

Increasing water scarcity, climate change and pressure to provide water for environmental flows urge irrigators to be more efficient. In Australia, ongoing water reforms and most recently the National Water Security Plan offer incentives to irrigators to adjust their farming practices by...

Irrigated agriculture often leads to recharge to local and regional groundwater systems greater than what the systems can absorb, resulting in the development of shallow watertables causing salinity and waterlogging. Policy based on emissions trading offers one option for effective management of...

This work is focused in the Murrumbidgee catchment to help understand the value of theseasonal forecasts to rice based cropping systems. The key activities of this project include:• An overview of water allocation in the Murrumbidgee Valley• Evaluation of commonly used seasonal forecasting...