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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
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
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
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
Consequences of temporal community turnover. This project aims to understand how environmental change affects compensatory dynamics of species. Species numbers do not change over time in local ecological communities, but species composition is changing at an unprecedented level across the globe. The implications of these compensatory dynamics for the resilience of ecological communities and how they affect ecosystems are important for community ecology and conservation. This project could reveal ....Consequences of temporal community turnover. This project aims to understand how environmental change affects compensatory dynamics of species. Species numbers do not change over time in local ecological communities, but species composition is changing at an unprecedented level across the globe. The implications of these compensatory dynamics for the resilience of ecological communities and how they affect ecosystems are important for community ecology and conservation. This project could reveal the functional consequences of temporal community change, contributing new insights into the effects of environmental change especially on soil ecosystems.Read moreRead less
Temperate trophic cascades: impacts of seal foraging on benthic community dynamics. Effective Marine Protected Area management across Australia requires guidance from rigorous strategic research. The project will investigate opposing activities that provoke ecosystem collapse (overharvesting, grazing) or recovery (marine park protection) and provide advice to improve effectiveness of marine conservation strategies in New South Wales and South Australia.
A global-scale analysis of functional traits in the face of global change. This project uses a global collaboration to develop a novel method for determining the response of extremely diverse animal taxa to global change. The method focusses on morphological traits and their functions and will improve conservation efforts by predicting the types of ecological processes and species threatened.
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
Is a grass-fire cycle reducing biodiversity in the stone country of Kakadu National Park? There is concern that bushfires in northern Australia are causing biodiversity loss. The project will compare fire regimes and populations of a fire-sensitive tree, Callitris intratropica, in Kakadu to similar areas in central Arnhem Land, to see how fire management can be optimised to prevent further biodiversity loss on the Arnhem Plateau.