New metrics to track fauna community condition in Australia (2024-2027)
Source: https://about.uq.edu.au/experts/project/63626 Parent: https://about.uq.edu.au/experts/920
Abstract
This project aims to improve how biodiversity is measured by developing a system to describe the condition of animal communities, analogous to those used for plant communities. It develops and tests the system for Australia¿s birds, then extends the approach to other animal groups. The project expects to develop a data-driven typology of bird communities, accompanying community condition metrics that are scalable from site to national levels, and practical guidance for using these metrics in practice. These metrics will enable more holistic measures of the biodiversity value of sites, improve evaluation of restoration actions, and reveal trends in community condition, as well as providing tools for emerging biodiversity markets.
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Experts
Professor Martine Maron
Affiliate of Centre for Biodiversity and Conservation Science : Centre for Biodiversity and Conservation Science : Faculty of Science
Professor : School of the Environment : Faculty of Science
Dr April Reside
Affiliate of Centre for Biodiversity and Conservation Science : Centre for Biodiversity and Conservation Science : Faculty of Science
Senior Lecturer in AgroEcology : School of Agriculture and Food Sustainability : Faculty of Science
Senior Lecturer in AgroEcology : School of the Environment : Faculty of Science
Professor Hugh Possingham
Affiliate of Centre for Marine Science : Centre for Marine Science : Faculty of Science
Affiliate of Centre for Biodiversity and Conservation Science : Centre for Biodiversity and Conservation Science : Faculty of Science
V-C Senior Research Fellow : School of the Environment : Faculty of Science
Dr Helen Mayfield
Affiliate of Centre for Biodiversity and Conservation Science : Centre for Biodiversity and Conservation Science : Faculty of Science
Research Fellow : UQ Centre for Clinical Research : Faculty of Health, Medicine and Behavioural Sciences
Grant type : ARC Linkage Projects
Funded by : Australian Research Council