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Using spatio-temporal modelling as a decision support tool for management of a native pest herbivore

Citation

Wiggins, NL and Penny, S and Bowman, DMJS and Collier, N and McMahon, CR, Using spatio-temporal modelling as a decision support tool for management of a native pest herbivore, Applied Ecology and Environmental Research, 12, (1) pp. 163-178. ISSN 1589-1623 (2014) [Refereed Article]

Copyright Statement

Copyright 2014 Alkoki Ltd.

DOI: doi:10.15666/aeer/1201_163178

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.

Item Details

Item Type:Refereed Article
Keywords:wildlife ecology, pest management, population demographics, model
Research Division:Agricultural and Veterinary Sciences
Research Group:Animal Production
Research Field:Animal Management
Objective Division:Environment
Objective Group:Control of Pests, Diseases and Exotic Species
Objective Field:Control of Animal Pests, Diseases and Exotic Species in Farmland, Arable Cropland and Permanent Cropland Environments
Author:Wiggins, NL (Dr Natasha Wiggins)
Author:Bowman, DMJS (Professor David Bowman)
ID Code:98624
Year Published:2014
Web of Science® Times Cited:1
Deposited By:Plant Science
Deposited On:2015-02-20
Last Modified:2017-10-31
Downloads:0

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