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
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
The role of drought-stress and insect attack on rainforest plant health. This project aims to examine the vulnerability of tropical plants to drought and insect attack in a large-scale field experiment. We will pioneer a new research approach that focuses on the causes and stages of decline in plant health prior to death, in order to identify the characteristics of plant species that make them more susceptible to drought and insect attack. Expected outcomes of this project include an improved ca ....The role of drought-stress and insect attack on rainforest plant health. This project aims to examine the vulnerability of tropical plants to drought and insect attack in a large-scale field experiment. We will pioneer a new research approach that focuses on the causes and stages of decline in plant health prior to death, in order to identify the characteristics of plant species that make them more susceptible to drought and insect attack. Expected outcomes of this project include an improved capacity to predict the function and composition of future forests. This project will provide significant benefits to communities concerned with the direct and indirect effects of droughts in protected areas, forestry reserves and agriculture. 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
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