Charles Darwin University

CDU eSpace
Institutional Repository

CDU Staff and Student only

Using Spatio-temporal Modelling as a Decision Support Tool for Management of a Native Pest Herbivore

Wiggins, Natasha L., Penny, Shane, Bowman, David M.J.S., Collier, Neil and McMahon, Clive R. (2014). Using Spatio-temporal Modelling as a Decision Support Tool for Management of a Native Pest Herbivore. Applied Ecology and Environmental Research,12(1):163-178.

Document type: Journal Article
Citation counts: Google Scholar Search Google Scholar
Attached Files (Some files may be inaccessible until you login with your CDU eSpace credentials)
Name Description MIMEType Size Downloads
Download this reading McMahon_49232.pdf Published version application/pdf 4.48MB 412
Reading the attached file works best in Firefox, Chrome and IE 9 or later.

IRMA ID 75039815xPUB709
Title Using Spatio-temporal Modelling as a Decision Support Tool for Management of a Native Pest Herbivore
Author Wiggins, Natasha L.
Penny, Shane
Bowman, David M.J.S.
Collier, Neil
McMahon, Clive R.
Journal Name Applied Ecology and Environmental Research
Publication Date 2014
Volume Number 12
Issue Number 1
ISSN 1589-1623   (check CDU catalogue open catalogue search in new window)
Start Page 163
End Page 178
Total Pages 16
Place of Publication Budapest, Hungary
Publisher A L O K I Ltd., Applied Ecological Research and Forensic Institute Ltd.
HERDC Category C1 - Journal Article (DIISR)
Abstract Landscape modification can alter the distribution and abundance of wildlife, which can result in irruptions of native species causing significant impacts on economically and ecologically valuable systems. This study investigated the applications of the Spatio- Temporal Animal Reduction (STAR) model, originally designed for the management of feral ungulates, by adapting it for the management of a native pest herbivore (the Tasmanian pademelon, Thylogale billardierii) within an agricultural-forest mosaic, typical of Tasmanian (Australian) agricultural landscapes. Empirical data of habitat and demographic features of a pest population were inputted into STAR to test the cost-effectiveness of three simulated density reduction models. Compared with the projected population growth under no management, simulations demonstrated that low, medium and high density reduction all reduced population abundance over 10 years. Cost increased with the level of population reduction due to increasing difficulty with locating individuals. The revenue gained from a simulated harvest was greatest for medium-intensity density reduction. We propose STAR can be used as a decision support tool to guide situations considering resource availability, browsing intensity and site- specific management objectives. The application of STAR highlights the model’s adaptability across diverse pest populations, landscape features and where there is competition for resources between domestic and native populations.
Keywords Decision support tool
Native herbivore
Pest species
Spatio-temporal model
Wildlife management
Description for Link Link to published version

© copyright

Every reasonable effort has been made to ensure that permission has been obtained for items included in CDU eSpace. If you believe that your rights have been infringed by this repository, please contact

Version Filter Type
Access Statistics: 158 Abstract Views, 412 File Downloads  -  Detailed Statistics
Created: Wed, 19 Aug 2015, 12:19:27 CST