Discovery Early Career Researcher Award - Grant ID: DE210101439

Funding Activity

Website
https://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE210101439

Funding Status
Active

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Funded Activity Summary

Towards reliable and explainable models for anticipating ecological change. This project aims to develop a quantitative framework for multivariate ecological prediction. This will allow us to better anticipate how ecosystems respond to environmental change. Recent modelling advances now make it possible to use the complexity of community ecology data to deliver better predictions. The project intends to use long-term ecological datasets to build and test novel multivariate prediction models, using tick paralysis rates in Australian dogs as a case study. Expected outcomes are better tools for studying ecosystem change and new hypotheses about how ecological communities are shaped. Application of these models should provide significant benefits, such as prediction of paralysis tick burdens to improve risk mitigation.

Funded Activity Details

Start Date: 01-02-2021

End Date: 31-01-2024

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $445,009.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Ecology | Community Ecology | Landscape Ecology

ANZSRC Socio-Economic Objective (SEO)

Control of Pests, Diseases and Exotic Species at Regional or Larger Scales | Expanding Knowledge in the Environmental Sciences | Flora, Fauna and Biodiversity at Regional or Larger Scales |

Other Keywords

Community Ecology | Control of Pests, Diseases and Exotic Species at Regional or Larger Scales | Ecology | Expanding Knowledge in the Environmental Sciences | Flora, Fauna and Biodiversity at Regional or Larger Scales | Landscape Ecology

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