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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
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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
URL http://aloki.hu/indvol12_1.htm


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