grant

Discovery Early Career Researcher Award - Grant ID: DE170100599 [ 2017-09-30 - 2021-10-30 ]

Research Grant

[Cite as http://purl.org/au-research/grants/arc/DE170100599]

Researchers: Ayesha Tulloch (Discovery Early Career Researcher Award)

Brief description 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.

Funding Amount $372,000

Funding Scheme Discovery Early Career Researcher Award

View this grant in the ARC Data Portal

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