The Betaproteobacteria: could they play a key role in nitrogen fixation on infertile soils with legumes adapted to climate change? Microbial biosecurity is often overlooked when introducing agricultural species to Australia. As we research new legume species to make our $44 billion agricultural industries robust in the face of a changing climate, we need to be aware of the implications of the associated introduction of (beneficial) microbes. By exploring the globe for plants from regions that al ....The Betaproteobacteria: could they play a key role in nitrogen fixation on infertile soils with legumes adapted to climate change? Microbial biosecurity is often overlooked when introducing agricultural species to Australia. As we research new legume species to make our $44 billion agricultural industries robust in the face of a changing climate, we need to be aware of the implications of the associated introduction of (beneficial) microbes. By exploring the globe for plants from regions that already have the climate we are transitioning towards, we have discovered new perennial forage legumes from which we can build a robust agriculture in the arid regions of southern Australia. This will have enormous national benefit in rural regions. This project will research the essential microbial inoculants associated with these new plants.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE140100123
Funder
Australian Research Council
Funding Amount
$160,000.00
Summary
Agro-ecosystem sensor capability for elevated CO2 free air research facility. Agro-ecosystem sensor capability for elevated carbon dioxide-free air research facility: This project will provide infrastructure upgrades to the Australian Grains Free Air Carbon dioxide Enrichment (AGFACE) facility, globally the only FACE facility in low rainfall, non-irrigated agri-ecosystems. Low rainfall, non-irrigated agriculture systems play a very significant role in global crop production and are predicted to ....Agro-ecosystem sensor capability for elevated CO2 free air research facility. Agro-ecosystem sensor capability for elevated carbon dioxide-free air research facility: This project will provide infrastructure upgrades to the Australian Grains Free Air Carbon dioxide Enrichment (AGFACE) facility, globally the only FACE facility in low rainfall, non-irrigated agri-ecosystems. Low rainfall, non-irrigated agriculture systems play a very significant role in global crop production and are predicted to be negatively affected by climate changes. The requested infrastructure will enable direct, plot scale measurements of crop water balance and water status, including crucial influence factors such as root growth and architecture and crop canopy temperatures, and allow manipulation experiments to develop adaptation options to improve crop resource use efficiencies. Read moreRead less
Bridging the gap between crop pollination services and pollinator health. Insect pollinators play an integral role in the quantity and quality of production for many food crops, yet there is growing concern that in agricultural landscapes, the limited availability of floral and non-floral resources might be contributing to global pollinator health declines. This project will synthesize global datasets, develop new methodological tools and conduct new, targeted empirical work to develop an integ ....Bridging the gap between crop pollination services and pollinator health. Insect pollinators play an integral role in the quantity and quality of production for many food crops, yet there is growing concern that in agricultural landscapes, the limited availability of floral and non-floral resources might be contributing to global pollinator health declines. This project will synthesize global datasets, develop new methodological tools and conduct new, targeted empirical work to develop an integrated approach to pollinator resource management with the explicit objectives of maintaining both wild pollinator health and to support crop pollination service delivery in modified systems.Read moreRead less
Taking advantage of rising CO2 to maximise ecosystem productivity. The rising atmospheric concentration of carbon dioxide provides an opportunity to increase ecosystem productivity, especially in agricultural systems. To what extent is highly uncertain, particularly when combined with changing temperature and precipitation. It has recently been demonstrated that seasonal water supply is the strongest controller of the productivity response to high carbon dioxide concentrations of grasslands. Th ....Taking advantage of rising CO2 to maximise ecosystem productivity. The rising atmospheric concentration of carbon dioxide provides an opportunity to increase ecosystem productivity, especially in agricultural systems. To what extent is highly uncertain, particularly when combined with changing temperature and precipitation. It has recently been demonstrated that seasonal water supply is the strongest controller of the productivity response to high carbon dioxide concentrations of grasslands. This project aims to elucidate the processes governing this response and develop simple models that could allow the conditions required to maximise the productivity benefit from rising carbon dioxide concentration to be calculated.Read moreRead less
Improved seasonal rainfall prediction for grain growers using farm level data and novel modelling. Successful grain production, a key export commodity for Australia, depends heavily on reliable seasonal forecasts. However, the highly variable climate means that for Australia’s 25,000 grain growers current forecasts lack detail in space and time. Using a combination of fuzzy classification and artificial neural networks, this project will develop a locally detailed continuously updating data-driv ....Improved seasonal rainfall prediction for grain growers using farm level data and novel modelling. Successful grain production, a key export commodity for Australia, depends heavily on reliable seasonal forecasts. However, the highly variable climate means that for Australia’s 25,000 grain growers current forecasts lack detail in space and time. Using a combination of fuzzy classification and artificial neural networks, this project will develop a locally detailed continuously updating data-driven seasonal forecast system using high density climate data from the 17,000 Grain Growers Association members and climate drivers such as sea surface temperature from the Bureau of Meteorology. After validation against observed data, the forecasts will be delivered via a web-based portal to users.Read moreRead less