Discovery Early Career Researcher Award - Grant ID: DE140101477

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE140101477

Funding Status
Closed

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Funded Activity Summary

Using food web theory to conserve ecosystems. Species interact with each other and the management of one species can impact on other species. These interactions are often ignored in conservation decision making. Food web theory is the obvious basis for considering links between species when making conservation decisions, but actually contains little explicit guidance for the management of multiple species. Using a novel application of optimisation approaches pioneered in artificial intelligence research, we aim to demonstrate how food web theory can guide the management of multiple species. In doing so, we will also test the effectiveness of widely used approaches to multi-species management, such as keystone species, umbrella species and bottom-up control.

Funded Activity Details

Start Date: 11-01-2014

End Date: 14-04-2017

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $393,689.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Ecosystem Function | Ecological Applications | Community Ecology | Conservation and Biodiversity

ANZSRC Socio-Economic Objective (SEO)

Flora, Fauna and Biodiversity of environments not elsewhere classified | Ecosystem Assessment and Management not elsewhere classified |

Other Keywords

Community Ecology | Conservation and Biodiversity | Ecological Applications | Ecosystem Assessment and Management not elsewhere classified | Ecosystem Function | Flora, Fauna and Biodiversity of environments not elsewhere classified

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