Oxygen isotope discrimination during C4 photosynthesis. Plants with the C4 photosynthetic pathway, like sugarcane and pasture grasses, are vital to Australian agriculture and natural ecosystems. This project will use novel laser spectroscopy to measure oxygen isotope discrimination during photosynthesis and quantify the influence of C4 plants on isotopic signatures of atmospheric CO2.
Disentangling climate and evolutionary controls over the temperature dependence of leaf respiration. The project will use field and laboratory studies to establish if there are systematic differences in the temperature responses of leaf respiration in plants adapted to hot and cold environments. The results will enable climate modellers to better predict impacts of climate change on carbon exchange between vegetation and the atmosphere.
An evolutionary landscape to better predict our future climate. Soil microbial communities are the most complicated and difficult to study on Earth, but their effects on our climate are profound. This project will examine the evolution of microorganisms and their viruses in soil using novel methods. It will uncover how the evolution of one microbial species influences the evolution of other community members. It will also apply a new model of evolution to the viruses that infect these microorgan ....An evolutionary landscape to better predict our future climate. Soil microbial communities are the most complicated and difficult to study on Earth, but their effects on our climate are profound. This project will examine the evolution of microorganisms and their viruses in soil using novel methods. It will uncover how the evolution of one microbial species influences the evolution of other community members. It will also apply a new model of evolution to the viruses that infect these microorganisms, constructing a viral ‘tree of life’. This improved fundamental understanding of soil communities will be used to study climate feedback from permafrost wetlands, a key and poorly constrained input of global climate models, improving predictions of our future climate.Read moreRead less
Incorporating new knowledge of phytoplankton diversity and nutrient utilisation into an ocean-climate model to improve forecasts of ocean function. Phytoplankton drives ocean biogeochemical cycles and regulate Earth’s climate yet are poorly represented in ocean-climate models. This project will use advanced cell sorting and analysis techniques and innovative selection experiments to gain a deeper understanding of phytoplankton diversity and nutrient utilisation under projected climate change. Th ....Incorporating new knowledge of phytoplankton diversity and nutrient utilisation into an ocean-climate model to improve forecasts of ocean function. Phytoplankton drives ocean biogeochemical cycles and regulate Earth’s climate yet are poorly represented in ocean-climate models. This project will use advanced cell sorting and analysis techniques and innovative selection experiments to gain a deeper understanding of phytoplankton diversity and nutrient utilisation under projected climate change. This new knowledge will be used to improve the biological structure of an existing coupled ocean-climate model and reduce key uncertainties in forecasts of ocean function. This research will provide managers and industry with more accurate insight into the effects of ongoing climate change on the delivery of ecosystem services in eastern Australian waters.Read moreRead less
What determines plant sensitivity to heat?: Individual to lifetime impacts. Temperature is a major determinant of the distribution of species and yet the capacity to predict the thermal sensitivity of plants is extremely limited. How vulnerability varies as a plant grows from seed to adult and produces more seed is a key question. Whether chronic warming exacerbates or ameliorates effects of extreme events, e.g. triggering the plant to enlist defensive strategies, is also an open question. This ....What determines plant sensitivity to heat?: Individual to lifetime impacts. Temperature is a major determinant of the distribution of species and yet the capacity to predict the thermal sensitivity of plants is extremely limited. How vulnerability varies as a plant grows from seed to adult and produces more seed is a key question. Whether chronic warming exacerbates or ameliorates effects of extreme events, e.g. triggering the plant to enlist defensive strategies, is also an open question. This project will advance fundamental understanding of how thermal tolerance varies across species and over the plant life cycle and how it scales demographically to lifetime vulnerability. The work will yield a significant advance in our capacity to predict impacts of extreme heat events on plant performance and distribution.
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Global integration of microbial community and climate data. Microbial communities in the environment control the cycling of carbon and nutrients on Earth, but climate models do not directly incorporate microbial inputs. This interdisciplinary project will link planetary-scale climate modelling data with novel large-scale microbial community analysis, using climate information to provide insight into the fantastic diversity of microbial processes on our planet. The interdisciplinary approach will ....Global integration of microbial community and climate data. Microbial communities in the environment control the cycling of carbon and nutrients on Earth, but climate models do not directly incorporate microbial inputs. This interdisciplinary project will link planetary-scale climate modelling data with novel large-scale microbial community analysis, using climate information to provide insight into the fantastic diversity of microbial processes on our planet. The interdisciplinary approach will inform the next generation of climate models and better predict our future climate’s feedbacks. Conversely, it will make progress on the grand challenge of understanding microbial community function by enabling microbial ecology to be treated as a data-intensive machine learning problem.Read moreRead less
Using Arabidopsis mutants to discover the role of guard cell chloroplasts in the stomatal response to light. This project will use novel molecular approaches to study how guard cells on the surface of leaves regulate plant water loss and CO2 uptake. This will provide new molecular tools for improving plant water use in agricultural species and aid process based modelling of CO2 and water exchange needed for predicting climate change.
Revealing the impacts of super-charged photosynthesis on leaf respiration. This project aims to use state-of-the-art technologies to develop a novel framework that links a super-charged version of photosynthesis (known as C4 photosynthesis) to changes in nocturnal leaf respiration. A quarter of global land photosynthesis occurs in C4 plants that include several important cereal crops. Although advances have been made in modelling C4 photosynthesis, these advances are unable to model variations i ....Revealing the impacts of super-charged photosynthesis on leaf respiration. This project aims to use state-of-the-art technologies to develop a novel framework that links a super-charged version of photosynthesis (known as C4 photosynthesis) to changes in nocturnal leaf respiration. A quarter of global land photosynthesis occurs in C4 plants that include several important cereal crops. Although advances have been made in modelling C4 photosynthesis, these advances are unable to model variations in nocturnal respiration. Expected outcomes include equations that predict respiration in C4 plants growing in current/future climates. Benefits to include knowledge needed to engineer faster-growing crops and providing climate modelers the ability to more accurately predict carbon exchange in C4-dominated ecosystems. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100115
Funder
Australian Research Council
Funding Amount
$451,697.00
Summary
Evaluating the Impact and Efficiency of Engineering the Ocean to Remove CO2. This project aims to evaluate the viability of engineering the ocean to remove carbon dioxide from the atmosphere by simulating a suite of climate intervention and baseline scenarios. To better predict changes in marine carbon cycling, I will first make novel observations of zooplankton grazing dynamics, then use them to improve, validate and constrain a new marine biogeochemical model. Using this model, coupled to an o ....Evaluating the Impact and Efficiency of Engineering the Ocean to Remove CO2. This project aims to evaluate the viability of engineering the ocean to remove carbon dioxide from the atmosphere by simulating a suite of climate intervention and baseline scenarios. To better predict changes in marine carbon cycling, I will first make novel observations of zooplankton grazing dynamics, then use them to improve, validate and constrain a new marine biogeochemical model. Using this model, coupled to an ocean, atmosphere and fisheries model, I will quantify the long-term efficiency with which marine carbon dioxide removal strategies sequester carbon along with their impact on fisheries catch. These projections will help scientists, policy-makers, and industry leaders decide if, when, and how we should geoengineer the ocean. Read moreRead less
Improved theory and practice in econometric modelling of nonlinear spatial time series. Modern Australia faces many challenges in economic and global climate changes, which require advanced statistical technologies in modeling and forecasting of econometric spatial time series data. This project will provide flexible models and methods that enable practitioners to more accurately measure and manage economic and climatic risks.