Discovery Early Career Researcher Award - Grant ID: DE200100922
Funder
Australian Research Council
Funding Amount
$408,490.00
Summary
Foresight: Anticipatory decision-making in water resource management. Long-term planning is vital to secure Australia’s water resources in the face of environmental disruption. This project aims to contribute to sustainable and equitable water management by examining the efficacy of anticipatory decision-making approaches. Qualitative research will be used to examine how scientific knowledge is used or contested in water reform within the Murray-Darling Basin. Intended outcomes include improved ....Foresight: Anticipatory decision-making in water resource management. Long-term planning is vital to secure Australia’s water resources in the face of environmental disruption. This project aims to contribute to sustainable and equitable water management by examining the efficacy of anticipatory decision-making approaches. Qualitative research will be used to examine how scientific knowledge is used or contested in water reform within the Murray-Darling Basin. Intended outcomes include improved capacities to plan for future change and establishing anticipatory decision-making within Australian natural resource management. This should provide significant benefits based on an integrated approach to science and decision-making that addresses trade-offs between stakeholders to identify shared action pathways.Read moreRead less
Water, carbon, and economics: resolving complex linkages for river health. By linking landscapes into our emerging low-carbon economy, this project will investigate how land management practices can be improved through payments for ecosystem services. With a focus on water and carbon, the main goal is to develop mechanisms to support integrated land and water management at the catchment scale.
Enhancing biodiversity and ecosystem services in production landscapes. This project aims to develop new approaches using causal inference, optimal allocation theory, and spatial statistics to characterise impacts on a diverse suite of ecosystem services. It will endeavour to develop case studies from three continents and generalisations explicitly tested using simulated landscapes. Environmental and agricultural policies promote land sharing (biodiversity-friendly production) or land sparing (p ....Enhancing biodiversity and ecosystem services in production landscapes. This project aims to develop new approaches using causal inference, optimal allocation theory, and spatial statistics to characterise impacts on a diverse suite of ecosystem services. It will endeavour to develop case studies from three continents and generalisations explicitly tested using simulated landscapes. Environmental and agricultural policies promote land sharing (biodiversity-friendly production) or land sparing (protected areas, with yield increases elsewhere). Yet the impacts of such policies in diverse contexts and for multiple outcomes are poorly understood. The project could advance our ability to deliver sustainable outcomes and more effective as well as equitable policies for production landscapes.Read moreRead less