Discovery Early Career Researcher Award - Grant ID: DE210100367
Funder
Australian Research Council
Funding Amount
$421,000.00
Summary
Predicting fisheries bycatch of protected species in dynamic seascapes. This project aims to advance global capacity to predict where and when incidental catch (bycatch) of protected non-target species (seabirds, marine turtles) occurs in longline fisheries, by harnessing the power of big data analytics. Using innovative interdisciplinary techniques, this project expects to generate new knowledge in marine ecology and fisheries oceanography. Expected outcomes include new institutional and discip ....Predicting fisheries bycatch of protected species in dynamic seascapes. This project aims to advance global capacity to predict where and when incidental catch (bycatch) of protected non-target species (seabirds, marine turtles) occurs in longline fisheries, by harnessing the power of big data analytics. Using innovative interdisciplinary techniques, this project expects to generate new knowledge in marine ecology and fisheries oceanography. Expected outcomes include new institutional and disciplinary collaborations, advances in theory, and the development of novel digital tools for management authorities and industry. This should provide significant benefits, such as reduced costs to the fishing industry, risk reduction in decision-making, and progress towards international sustainable development goals.Read moreRead less
Resolving the threat of ocean deoxygenation to coral resilience. This project aims to uncover the role low oxygen plays in shaping healthy corals over space and time. Climate change and land use development are rapidly deoxygenating shallow water coral reefs, yet we have no knowledge of how less oxygen availability affects critical life history factors that govern coral resilience: growth, reproduction, and stress tolerance. This project unites a multidisciplinary team of experts to, for the fir ....Resolving the threat of ocean deoxygenation to coral resilience. This project aims to uncover the role low oxygen plays in shaping healthy corals over space and time. Climate change and land use development are rapidly deoxygenating shallow water coral reefs, yet we have no knowledge of how less oxygen availability affects critical life history factors that govern coral resilience: growth, reproduction, and stress tolerance. This project unites a multidisciplinary team of experts to, for the first time, couple advanced oxygen sensing, metabolic physiology, coral reproductive and stress biology to transform our understanding of oxygen thresholds that are diagnostic of reduced coral competitive fitness across life stages (adults, juveniles, larvae), needed to improve coral reef ecosystem management.Read moreRead less
Resolving the role of kelp in blue carbon cycles to enable management. We aim to uncover how kelp forests contribute to carbon storage, biodiversity enhancement and nutrient mitigation in Australia. We will combine mapping and modelling to identify local variation in kelp carbon stocks and sequestration potential and verify kelp carbon export to deep ocean sinks through genetic tracing in seawater and sediments. Co-benefits will be identified through nutrient experiments and reef surveys. We wil ....Resolving the role of kelp in blue carbon cycles to enable management. We aim to uncover how kelp forests contribute to carbon storage, biodiversity enhancement and nutrient mitigation in Australia. We will combine mapping and modelling to identify local variation in kelp carbon stocks and sequestration potential and verify kelp carbon export to deep ocean sinks through genetic tracing in seawater and sediments. Co-benefits will be identified through nutrient experiments and reef surveys. We will also assess the risk that calcification and production of halogenic gas within the kelp forest could offset its climate mitigation potential. Project outcomes will enable management to consider kelp ecosystem services broadly and optimize our capacity to meet current emission reduction and biodiversity commitments.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100398
Funder
Australian Research Council
Funding Amount
$349,886.00
Summary
Advancing detection and understanding of anomalous ecological change. Human impacts are driving ecosystems into new, anomalous states. Reliably detecting these ecological anomalies is essential to better understand how ecosystems change over time, and effectively manage natural resources. This project aims to advance ecological anomaly detection using techniques from complex fields such as banking fraud, cybersecurity and video surveillance. Expected project outcomes will improve understanding o ....Advancing detection and understanding of anomalous ecological change. Human impacts are driving ecosystems into new, anomalous states. Reliably detecting these ecological anomalies is essential to better understand how ecosystems change over time, and effectively manage natural resources. This project aims to advance ecological anomaly detection using techniques from complex fields such as banking fraud, cybersecurity and video surveillance. Expected project outcomes will improve understanding of patterns and drivers of both biodiversity and ecosystem change. Tools to reliably detect anomalous changes in complex ecological systems will provide significant benefits to ecosystem management, conservation decision-making and environmental remediation.Read moreRead less
Next-generation models to predict cyanobacteria harmful algal blooms. This project aims to address the need for improved predictions of cyanobacteria (blue-green algae) harmful algal blooms. Accurate predictions of blooms with computer models are important to support management strategies to prevent their occurrence. This project is expected to generate new knowledge of strain-level variation in cyanobacteria that leads to toxic blooms. This project will lead to new knowledge of the significance ....Next-generation models to predict cyanobacteria harmful algal blooms. This project aims to address the need for improved predictions of cyanobacteria (blue-green algae) harmful algal blooms. Accurate predictions of blooms with computer models are important to support management strategies to prevent their occurrence. This project is expected to generate new knowledge of strain-level variation in cyanobacteria that leads to toxic blooms. This project will lead to new knowledge of the significance of strain-level variation in cyanobacteria harmful algal blooms, how strains influence toxin production and models for prediction of bloom and toxins. The project will generate significant benefits for water security for the purposes human consumption and recreation, and ecosystem health.Read moreRead less
A paradigm shift for predictions of freshwater harmful cyanobacteria blooms. This project aims to advance model predictions to generate novel insights into the triggers of freshwater harmful cyanobacteria blooms. Current models are poorly adapted for this purpose because they fail to account for antecedent environmental forcing. The project is expected to create new knowledge of cyanobacteria dynamics from simulating the adaptive responses of individual cyanobacteria cells, colonies or filaments ....A paradigm shift for predictions of freshwater harmful cyanobacteria blooms. This project aims to advance model predictions to generate novel insights into the triggers of freshwater harmful cyanobacteria blooms. Current models are poorly adapted for this purpose because they fail to account for antecedent environmental forcing. The project is expected to create new knowledge of cyanobacteria dynamics from simulating the adaptive responses of individual cyanobacteria cells, colonies or filaments to temperature, light and nutrient history. Three field studies will be used to validate a new individual based model. The outcomes of this project will be valuable for managing freshwater ecosystems that are increasingly subject to blooms in a warming climate, and for testing suitable mitigation and control strategies.Read moreRead less