Metadata
Title
Optimal management of complex ecological systems (2003-2007)
Category
general
UUID
3f7935010a5b47beb5cf6b5cb6a86244
Source URL
https://about.uq.edu.au/experts/project/18688
Parent URL
https://about.uq.edu.au/experts/920
Crawl Time
2026-03-11T07:44:35+00:00
Rendered Raw Markdown

Optimal management of complex ecological systems (2003-2007)

Source: https://about.uq.edu.au/experts/project/18688 Parent: https://about.uq.edu.au/experts/920

Abstract

Natural systems are inherently complex and difficult to predict. This complexity means that efficient management strategies are often uncertain, and resource managers have few theories or rules on which to base their decisions. We will integrate the existing theories and principles of conservation biology with decision-making tools and theory used in statistics, economics, control theory, engineering and mathematics. We will use novel methods to investigate the reliability of different management decisions that are made in the face of uncertainty and involve learning. Our aim is to discover a general theory for a new branch of conservation biology: applied theoretical conservation ecology. ''

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Experts

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

Hugh Possingham

Grant type : ARC Discovery Projects

Funded by : Australian Research Council