Diversity maintenance in patchy environments. This project aims to advance understanding of species coexistence and diversity maintenance in complex natural environments. Though diversity varies across patchy natural and human-created environments, the mechanistic drivers of these patterns remain poorly understood. This knowledge gap limits our ability to predict and manage responses of natural communities to environmental changes. Using data from threatened Western Australian wildflower communi ....Diversity maintenance in patchy environments. This project aims to advance understanding of species coexistence and diversity maintenance in complex natural environments. Though diversity varies across patchy natural and human-created environments, the mechanistic drivers of these patterns remain poorly understood. This knowledge gap limits our ability to predict and manage responses of natural communities to environmental changes. Using data from threatened Western Australian wildflower communities and novel ecological models of species coexistence, the project aims to deliver a mechanistic understanding of biological diversity, and provide fundamental knowledge needed to improve ecosystem management and restoration outcomes across Australia and globally.Read moreRead less
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
How positive interactions improve predictions of plant community diversity. Though common in nature, the importance of plant-plant facilitation to coexistence and the maintenance of plant diversity at community scales is poorly understood. This project aims to advance understanding of how positive interactions (facilitation) impact on coexistence among plant species as well as local patterns of diversity. To achieve these aims the project will use a combination of field experiments and a compara ....How positive interactions improve predictions of plant community diversity. Though common in nature, the importance of plant-plant facilitation to coexistence and the maintenance of plant diversity at community scales is poorly understood. This project aims to advance understanding of how positive interactions (facilitation) impact on coexistence among plant species as well as local patterns of diversity. To achieve these aims the project will use a combination of field experiments and a comparative analysis of competition and facilitation in Australian, Californian and Spanish annual plant communities with a novel modelling approach for predicting coexistence across variable environments. Outcomes are expected to include an innovative predictive framework of use for plant conservation in Australia and beyond.Read moreRead less
Rapid evolution, and the dynamics and stability of ecological communities. Population sizes of species go up and down and often we do not know why. This is a problem because changes in population size underpin more complex ecological change, and understanding why population sizes change affects our ability to manage environmental impacts, and threatened, harvested and pest species. The aim of this project is to discover how rapid evolution – evolution occurring over just a few generations – driv ....Rapid evolution, and the dynamics and stability of ecological communities. Population sizes of species go up and down and often we do not know why. This is a problem because changes in population size underpin more complex ecological change, and understanding why population sizes change affects our ability to manage environmental impacts, and threatened, harvested and pest species. The aim of this project is to discover how rapid evolution – evolution occurring over just a few generations – drives changes in population sizes of plants in Australian freshwater ecosystems. By focusing on this fundamental yet poorly understood process, our results promise to rewrite our understanding of the causes of change in ecological communities, while highlighting a unique and little studied component of Australia’s biota.Read moreRead less
Phenotypic and adaptive responses to environmental change. This project aims to investigate how environmental change will effect coral reef fish by assessing adaptive responses in a model species. This project expects to generate new knowledge on the interplay between adaption and plasticity both within and across generations using novel experimental designs. Expected outcomes include improved models of fish acclimation and adaptation to environmental change and an enhanced evidence base to info ....Phenotypic and adaptive responses to environmental change. This project aims to investigate how environmental change will effect coral reef fish by assessing adaptive responses in a model species. This project expects to generate new knowledge on the interplay between adaption and plasticity both within and across generations using novel experimental designs. Expected outcomes include improved models of fish acclimation and adaptation to environmental change and an enhanced evidence base to inform the management of cumulative impacts. This will provide significant benefits to Australian and international communities that rely on fish for nutrition, economic and/or social value.Read moreRead less
Macroecology of reptiles and frogs over latitudinal and temporal gradients. This project aims to address major macroecological concepts in reptile and frog communities through time, focusing on environmental and climatic gradients in species diversity and body-size variation. This project expects to generate a unique macroecological dataset by integrating data from Quaternary fossil sites spanning a 3000km latitudinal gradient with current ecological data. Expected outcomes include the first com ....Macroecology of reptiles and frogs over latitudinal and temporal gradients. This project aims to address major macroecological concepts in reptile and frog communities through time, focusing on environmental and climatic gradients in species diversity and body-size variation. This project expects to generate a unique macroecological dataset by integrating data from Quaternary fossil sites spanning a 3000km latitudinal gradient with current ecological data. Expected outcomes include the first comprehensive ecological assessment of Australian reptile and frog communities through Pleistocene climate oscillations, with predictions into the future. This research will benefit Australian society by providing evidence-based knowledge of faunal community composition through time in association with changing climates.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