Water resources are an important consideration for sustainable agriculture and the aquatic environment. The Future Farm Industries CRC’s Biodiversity and Water program is developing decision methods and strategies that will improve management of biodiversity and water resources, while conferring other benefits.
The program’s activities on water resources focus on creating catchment models and management strategies for new perennial vegetation systems that maintain water quantity in priority water supply catchments while improving water quality.
The CATPlus project is further developing and applying the existing Catchment Analysis Tool (CAT) model to evaluate the Future Farm Industries CRC farming system impacts with a focus on catchment water resources. Ultimately, this model will allow catchment managers and other external users to better predict the impacts of perennial vegetation systems on water management, including impacts on specific assets either targeted or dispersed.
The CAT model links farming systems models to groundwater and stream processes. It was developed by the Victorian Department of Primary Industries and the former CRC Salinity to assess the catchment-scale impacts of current and new farming systems.
The Investment Framework for Environmental Resources (INFFER) project is creating investment decision frameworks for developing and prioritising projects to address environmental issues such as water quality, biodiversity, environmental pests and land degradation. It aims to achieve the most valuable outcomes with the available financial resources.
This website contains information about the CRC’s research into perennial plant based farming systems.
This site will remain live until 30 June 2017 but is no longer being updated or reviewed.
Further information about CRC research projects can be obtained by following links from relevant project pages or by viewing the research transfer page.
The CRC was funded for seven years (2007-2014) under the Australian Government Cooperative Research Centre program.