Climate impacts on grass phenology, diversity and pollen exposure. This project investigates how climate change is altering the phenology, plant diversity, and airborne pollen exposure in Australia's highly productive dry grasslands. The project is expected to answer key questions on shifting grasslands and grass pollen relationships with grass phenology and diversity by merging satellite analysis of phenology with seasonal airborne pollen measures of grass concentrations and diversity. Expect ....Climate impacts on grass phenology, diversity and pollen exposure. This project investigates how climate change is altering the phenology, plant diversity, and airborne pollen exposure in Australia's highly productive dry grasslands. The project is expected to answer key questions on shifting grasslands and grass pollen relationships with grass phenology and diversity by merging satellite analysis of phenology with seasonal airborne pollen measures of grass concentrations and diversity. Expected outcomes of this project will be better management options to safeguard allergy sufferers and improved ecological and pollen forecasts under climate change and extreme events. This project should provide important public health benefits and disease mitigation strategies to Australia's urban and remote areas.
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Forecasting live fuel moisture content, the on/off switch for forest fire. Dry forest fuels are a precursor of large bushfires. This research aims to develop, for the first time, a model to reliably forecast the moisture content of live fuels (e.g. the foliage and fine branches of shrubs and trees). This will be achieved by combining (i) satellite-derived estimates of live fuel moisture content, (ii) forecasts of soil moisture, and (iii) plant physiological responses to soil dryness. Forecasts o ....Forecasting live fuel moisture content, the on/off switch for forest fire. Dry forest fuels are a precursor of large bushfires. This research aims to develop, for the first time, a model to reliably forecast the moisture content of live fuels (e.g. the foliage and fine branches of shrubs and trees). This will be achieved by combining (i) satellite-derived estimates of live fuel moisture content, (ii) forecasts of soil moisture, and (iii) plant physiological responses to soil dryness. Forecasts of live fuel moisture content will deliver an early warning system of the risk of bushfires. These forecasts will also facilitate improved planning of prescribed burns: if fuels are too dry there is a risk of burns escaping, conversely, if fuels are too wet there is a risk that burns will fail to meet objectives.Read moreRead less