Approaches to strategic risk analysis and management of invasive plants: lessons learned from managing gamba grass in northern Australia
Vanessa M. Adams A D and Samantha A. Setterfield B C
+ Author Affiliations
- Author Affiliations
A School of Biological Sciences, University of Queensland, Brisbane, Qld 4072, Australia.
B Research Institute for the Environment and Livelihoods, Charles Darwin University, Darwin, NT 0909, Australia.
C School of Earth and Environment, University of Western Australia, Perth, WA 6009, Australia.
D Corresponding author. Email: v.adams@uq.edu.au
Pacific Conservation Biology 22(2) 189-200 https://doi.org/10.1071/PC15041
Submitted: 16 November 2015 Accepted: 3 May 2016 Published: 24 May 2016
Abstract
Given the environmental damages caused by invasive species, it is critical to allocate limited management budgets carefully. To address this need, there are a variety of approaches for analysing invasive species risk and designing management strategies; these range from pre–border risk assessment through to local-scale prioritisation of management actions. Risk assessment can be broadly characterised into three components: risk analysis, risk characterisation and risk management. For each component we give a brief review of current approaches and then present innovative tools being developed and applied in northern Australia. We use gamba grass (Andropogon gayanus Kunth.) as a case study to contrast the benefits of the different approaches presented. With our case study, we demonstrate the practical application of novel risk management tools, with results from these tools that are being used locally to prioritise management actions. Lastly, we note that for even greater benefit to be achieved, the new spatial prioritisation approaches presented must be accompanied by further development of data and methods to accommodate planning for multiple weed species and incorporation of further human dimensions (e.g. social and cultural values).
Additional keywords: risk management, invasive species management, spatial prioritisation, weed risk
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