Species and gene turnover across environmental gradients - a landscape-level approach to quantify biodiversity and resilience for climate adaptation. Biodiversity corridor planning in Australia desperately needs to progress beyond the simple linking up of remnant vegetation, based on aerial maps and start incorporating ecosystem features which will promote climate adaptation. This project will develop a new genomics method to assess ecosystem resilience for use in national biodiversity corridor ....Species and gene turnover across environmental gradients - a landscape-level approach to quantify biodiversity and resilience for climate adaptation. Biodiversity corridor planning in Australia desperately needs to progress beyond the simple linking up of remnant vegetation, based on aerial maps and start incorporating ecosystem features which will promote climate adaptation. This project will develop a new genomics method to assess ecosystem resilience for use in national biodiversity corridor planning.Read moreRead less
Red listing ecosystems - testing the new global standard for conservation. The International Union for Conservation of Nature (IUCN) Red Lists are critical for setting conservation priorities. These include a well-tested species Red List protocol, and a new global standard for Red-listing ecosystems. This project will test the new global standard across a range of marine, terrestrial and freshwater ecosystems, developing powerful new tools and guidelines for application.
Discovery Early Career Researcher Award - Grant ID: DE170100599
Funder
Australian Research Council
Funding Amount
$372,000.00
Summary
Forecasting ecosystem collapse and recovery by tracking networks of species. This project aims to assess and predict ecosystem decline by measuring change in networks of interacting species. Efforts to prevent ecosystem collapse are failing. A focus on managing individual species ignores the fact that ecosystems function because species have complex associations with one another and the environment. This project will use methods from social networks, food-web theory and web-searching behaviour, ....Forecasting ecosystem collapse and recovery by tracking networks of species. This project aims to assess and predict ecosystem decline by measuring change in networks of interacting species. Efforts to prevent ecosystem collapse are failing. A focus on managing individual species ignores the fact that ecosystems function because species have complex associations with one another and the environment. This project will use methods from social networks, food-web theory and web-searching behaviour, to discover symptoms of declining ecosystems and find robust metrics that diagnose change in networks of co-occurring species. The intended outcome is to clarify the relationship between species interactions, co-occurrence and ecosystem decline, knowledge critical to ecosystem recovery.Read moreRead less
Advances in biodiversity modelling - analysis of high-dimensional counts. The aim is to develop flexible models for the analysis of high-dimensional count data, in particular, for studying species interactions and the response of communities to environmental factors. This project is significant because increasingly, important research questions are answered using data with many response variables, with a particular need when studying ecological communities and their response to environmental imp ....Advances in biodiversity modelling - analysis of high-dimensional counts. The aim is to develop flexible models for the analysis of high-dimensional count data, in particular, for studying species interactions and the response of communities to environmental factors. This project is significant because increasingly, important research questions are answered using data with many response variables, with a particular need when studying ecological communities and their response to environmental impacts. This project aims to develop the first models that can be used directly to draw valid community-level conclusions for common ecological data types. The expected outcome is a powerful toolset for fully model-based inference from high-dimensional counts, introducing modern approaches to a high-impact area of ecology.Read moreRead less
New insights from point event data in ecology. This project aims to develop new tools for analysing point event data from multiple species and sources, to better predict species distribution and potential response to climate change. The project proposes joint statistical models for such multivariate data, for greater accuracy and for insights about which species are related in distribution and in environmental response. The new toolset expects to provide significant benefits including improved u ....New insights from point event data in ecology. This project aims to develop new tools for analysing point event data from multiple species and sources, to better predict species distribution and potential response to climate change. The project proposes joint statistical models for such multivariate data, for greater accuracy and for insights about which species are related in distribution and in environmental response. The new toolset expects to provide significant benefits including improved understanding of the drivers of species distribution and interaction, and potential response to a changing climate.Read moreRead less
Testing the importance of large-scale climate factors to plant community assembly following land-use change. This project will examine the native plant species and functional diversity of Australia's rain forest communities to create a predictive framework of how plant communities recover following deforestation. Such a framework is key to focusing conservation efforts in degraded and multi-use landscapes.
A general theory for ecological trait-strategy dimensions. This project aims to bridge the gap in understanding of ecological strategies between plant and animal ecology, globally, using ants. It will test how environmental change influences the success of species, based on ecological strategies, and the consequences for ecosystem function. This project is expected to make a significant contribution to generality and prediction in ecology. Expected outcomes of this project include theory deve ....A general theory for ecological trait-strategy dimensions. This project aims to bridge the gap in understanding of ecological strategies between plant and animal ecology, globally, using ants. It will test how environmental change influences the success of species, based on ecological strategies, and the consequences for ecosystem function. This project is expected to make a significant contribution to generality and prediction in ecology. Expected outcomes of this project include theory development and application and enhanced global networks of trait researchers. Intended benefits include improved ecological theory, an enhanced capacity to predict how global change will affect organisms and increased understanding of the cascading effects of changes for ecosystem function.Read moreRead less
Revealing how top predators maintain healthy balanced ecosystems. Large predators play a pivotal role in maintaining healthy, balanced ecosystems. This project will reveal how Australia's largest predator, the dingo, provides ecosystem services and benefits biodiversity.
Bridging the gap between crop pollination services and pollinator health. Insect pollinators play an integral role in the quantity and quality of production for many food crops, yet there is growing concern that in agricultural landscapes, the limited availability of floral and non-floral resources might be contributing to global pollinator health declines. This project will synthesize global datasets, develop new methodological tools and conduct new, targeted empirical work to develop an integ ....Bridging the gap between crop pollination services and pollinator health. Insect pollinators play an integral role in the quantity and quality of production for many food crops, yet there is growing concern that in agricultural landscapes, the limited availability of floral and non-floral resources might be contributing to global pollinator health declines. This project will synthesize global datasets, develop new methodological tools and conduct new, targeted empirical work to develop an integrated approach to pollinator resource management with the explicit objectives of maintaining both wild pollinator health and to support crop pollination service delivery in modified systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100833
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
The nutritional regulation of food chain length in terrestrial arthropod communities. Little is known about how the behaviour of individual animals affects the structure and function of ecological communities. By quantifying the diet requirements of predators and comparing them to the nutrients in prey at different trophic levels, this project will test if nutrient-based foraging by predators regulates food chain length in arthropod communities.