Modelling dynamics in spatial ecology. This project addresses how birth, death and movement drive patterns of plants and animals in space and time. We aim to apply and extend dynamical statistical models grounded in theory. Dynamical models are needed for us to understand how species and ecological communities respond to environmental change and disturbance including bushfires, climate change and extremes and species invasion. Using data from forest plots and animal movement, we aim to understan ....Modelling dynamics in spatial ecology. This project addresses how birth, death and movement drive patterns of plants and animals in space and time. We aim to apply and extend dynamical statistical models grounded in theory. Dynamical models are needed for us to understand how species and ecological communities respond to environmental change and disturbance including bushfires, climate change and extremes and species invasion. Using data from forest plots and animal movement, we aim to understand influences on individuals and species, and how to use that to generate robust predictions. The project is expected to produce statistical models and software for use by ecologists. This should help predict, and manage, ecological impacts of environmental change and disturbances.Read moreRead less
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
Assessing the ecosystem-wide risks of threatened species translocation. Assessing the ecosystem-wide risks of threatened species translocation. This project aims to develop the first quantitative risk assessment framework to improve decisions about moving threatened species to new places. Moving threatened plants and animals to new environments, or reintroducing them where they previously persisted, is a growing focus of conservation. Moving species can have unanticipated effects on other specie ....Assessing the ecosystem-wide risks of threatened species translocation. Assessing the ecosystem-wide risks of threatened species translocation. This project aims to develop the first quantitative risk assessment framework to improve decisions about moving threatened species to new places. Moving threatened plants and animals to new environments, or reintroducing them where they previously persisted, is a growing focus of conservation. Moving species can have unanticipated effects on other species in the ecosystem. Although the International Union for Conservation of Nature deems ecosystem-wide risk assessments essential for conservation translocations, no framework exists to assess these risks and inform these decisions. New tools for assessing the risks of conservation translocations are expected to improve global and local conservation outcomes.Read moreRead less
Fauna, fuel and fire: effects of animals on bushfire risk. This project aims to determine the extent that animals influence fire regimes through effects on fuel load and characteristics. Minimising the risk of large, severe bushfires, while conserving native species is one of the greatest challenges facing managers of fire-prone ecosystems globally. Using a powerful combination of landscape-scale field observations, experimental manipulations of animal densities, and modelling, the project expec ....Fauna, fuel and fire: effects of animals on bushfire risk. This project aims to determine the extent that animals influence fire regimes through effects on fuel load and characteristics. Minimising the risk of large, severe bushfires, while conserving native species is one of the greatest challenges facing managers of fire-prone ecosystems globally. Using a powerful combination of landscape-scale field observations, experimental manipulations of animal densities, and modelling, the project expects to quantify interactions between animals, bushfire fuel and fire regimes in south eastern Australian forests, woodlands and scrublands. This evidence should benefit the design of integrated, efficient, and complementary strategies for fire and fauna management in Australia’s extensive fire-prone ecosystems.Read moreRead less
Designing green spaces for biodiversity and human well-being. Designing green spaces for biodiversity and human well-being . This project aims to determine mechanisms linking urban design to socio-ecological benefits from green spaces. Ecological restoration in urban green space could attract more biodiversity into urban environments, reduce maintenance costs, provide market advantage for the development industry and improve a sense of place for residents. However, how best to encourage biodiver ....Designing green spaces for biodiversity and human well-being. Designing green spaces for biodiversity and human well-being . This project aims to determine mechanisms linking urban design to socio-ecological benefits from green spaces. Ecological restoration in urban green space could attract more biodiversity into urban environments, reduce maintenance costs, provide market advantage for the development industry and improve a sense of place for residents. However, how best to encourage biodiversity using urban design is poorly understood, and little is known about how green spaces create health and well-being. This project will alter levels of green space design explanatory variables in modular experimental plots, in both Royal Park, the City of Melbourne’s largest public green space, and Melbourne’s CBD; conduct biodiversity and human wellbeing experiments; and develop urban design recommendations that support biodiversity and human wellbeing.Read moreRead less
Integrating niches, interactions and dispersal in species distribution models. This proposal aims to develop a framework for statistical modelling that integrates across spatial scales and disentangles the processes of environmental tolerance, biotic interactions and dispersal. Understanding the processes that drive species distributions and ecological communities is central to ecology and environmental management. This knowledge can be used to anticipate the impacts of environmental change on e ....Integrating niches, interactions and dispersal in species distribution models. This proposal aims to develop a framework for statistical modelling that integrates across spatial scales and disentangles the processes of environmental tolerance, biotic interactions and dispersal. Understanding the processes that drive species distributions and ecological communities is central to ecology and environmental management. This knowledge can be used to anticipate the impacts of environmental change on ecosystems, and the likely benefits of interventions. Current statistical models limit the data that can be used and the ecological questions that can be answered. This project expects to improve our ability to predict species distributions under changed environments given interacting species and dispersal across the landscape.Read moreRead less
Modelling dynamics in spatial ecology. This project addresses how birth, death and movement drive patterns of plants and animals in space and time. We aim to apply and extend dynamical statistical models grounded in theory. Dynamical models are needed for us to understand how species and ecological communities respond to environmental change and disturbance including bushfires, climate change and extremes and species invasion. Using data from forest plots and animal movement, we aim to understan ....Modelling dynamics in spatial ecology. This project addresses how birth, death and movement drive patterns of plants and animals in space and time. We aim to apply and extend dynamical statistical models grounded in theory. Dynamical models are needed for us to understand how species and ecological communities respond to environmental change and disturbance including bushfires, climate change and extremes and species invasion. Using data from forest plots and animal movement, we aim to understand influences on individuals and species, and how to use that to generate robust predictions. The project is expected to produce statistical models and software for use by ecologists. This should help predict, and manage, ecological impacts of environmental change and disturbances.Read moreRead less
Providing a genetic framework to enhance the success and benefits from forest restoration and carbon plantings in rural landscapes. This project will provide a genetic framework to inform strategies for climate change adaptation in forest restoration and carbon plantings in Australia. Key questions to be addressed include the value of local versus non-local seed sources and the role of tree genetics in shaping biodiversity and other ecosystem services.
Integrating niches, interactions and dispersal in species distribution models. This proposal aims to develop a framework for statistical modelling that integrates across spatial scales and disentangles the processes of environmental tolerance, biotic interactions and dispersal. Understanding the processes that drive species distributions and ecological communities is central to ecology and environmental management. This knowledge can be used to anticipate the impacts of environmental change on e ....Integrating niches, interactions and dispersal in species distribution models. This proposal aims to develop a framework for statistical modelling that integrates across spatial scales and disentangles the processes of environmental tolerance, biotic interactions and dispersal. Understanding the processes that drive species distributions and ecological communities is central to ecology and environmental management. This knowledge can be used to anticipate the impacts of environmental change on ecosystems, and the likely benefits of interventions. Current statistical models limit the data that can be used and the ecological questions that can be answered. This project expects to improve our ability to predict species distributions under changed environments given interacting species and dispersal across the landscape.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101440
Funder
Australian Research Council
Funding Amount
$431,015.00
Summary
Using big data to untangle ecological cascades in tropical forests. This project aims to develop a suite of innovative analysis techniques to study wildlife communities with remarkable resolution. This project expects to generate new knowledge in the fields of ecology and conservation biology by leveraging the unprecedented quantity and quality of data captured through a large network of camera traps in Australian and Southeast Asian forests. Expected outcomes include developing novel approaches ....Using big data to untangle ecological cascades in tropical forests. This project aims to develop a suite of innovative analysis techniques to study wildlife communities with remarkable resolution. This project expects to generate new knowledge in the fields of ecology and conservation biology by leveraging the unprecedented quantity and quality of data captured through a large network of camera traps in Australian and Southeast Asian forests. Expected outcomes include developing novel approaches to analysing wildlife data (meta-structural equation modelling) and delivering management guidance to Australian land-owning agencies that may vastly cut costs by identifying efficient interventions and improve conservation outcomes. Read moreRead less