Modelling the spread and control of cherry guava on Lord Howe Island

Baker, Christopher M., Bower, Sue, Tartaglia, Elena, Bode, Michael, Bower, Hank, and Pressey, Robert L. (2018) Modelling the spread and control of cherry guava on Lord Howe Island. Biological Conservation, 227. pp. 252-258.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website:


Effectively controlling invasive species on islands is a critical aspect of global conservation. Having the potential to outcompete or consume native species, it is particularly important to remove them from islands harbouring unique flora and fauna. Lord Howe Island, a World Heritage listed area to the east of the Australian mainland, is in the midst of a long-term weed management project, where the most prolific invasive species is cherry guava, with over 700,000 plants removed so far. In such projects, it is critical to have a good understanding of the invasion dynamics and removal process to have reliable estimates of project timeline and success, and to ensure the best removal strategies are being utilised. In this paper we model cherry guava growth, spread and removal on Lord Howe Island, fitting our model to 12 years of removal data. Our mean estimate is that there are 102,091 plants remaining on the island, which will take approximately 25 years to remove at current levels of eradication effort. Altering the strategy to search every year, rather than biennially, reduces the eradication time to 20 years, which falls within the project target, while also decreasing the total search effort. However, simply increasing search effort to finish faster actually increases the total eradication effort. This shows that the benefits of making careful adjustments to a strategy can far out-weight the benefit of simply investing more money into control. This project exemplifies how high-quality removal record-keeping can be used to generate models that provide important long-term forecasts of project success and suggest effective strategic improvements.

Item ID: 56168
Item Type: Article (Research - C1)
ISSN: 1873-2917
Keywords: Invasive species, Population modelling, Weed removal, Long distance dispersal, World Heritage area, Conservation management
Copyright Information: © 2018 Elsevier Ltd. All rights reserved.
Funders: Australian Research Council (ARC), ARC Centre of Excellence for Coral Reef Studies, James Cook University (JCU)
Date Deposited: 21 Nov 2018 08:12
FoR Codes: 41 ENVIRONMENTAL SCIENCES > 4102 Ecological applications > 410202 Biosecurity science and invasive species ecology @ 100%
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page