Managing the impact of invasive species: the value of knowing the density–impact curve

Yokomizo, H., Possingham, H. P., Thomas, M. B. and Buckley, Y. M. (2009) Managing the impact of invasive species: the value of knowing the density–impact curve. Ecological Applications, 19 2: 376-386. doi:10.1890/08-0442.1

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Author Yokomizo, H.
Possingham, H. P.
Thomas, M. B.
Buckley, Y. M.
Title Managing the impact of invasive species: the value of knowing the density–impact curve
Journal name Ecological Applications   Check publisher's open access policy
ISSN 1051-0761
1939-5582
Publication date 2009-03
Year available 2009
Sub-type Article (original research)
DOI 10.1890/08-0442.1
Open Access Status File (Publisher version)
Volume 19
Issue 2
Start page 376
End page 386
Total pages 11
Editor Schimel, D.
Place of publication United States
Publisher Ecological Society of America
Collection year 2010
Language eng
Abstract Economic impacts of invasive species worldwide are substantial. Management strategies have been incorporated in population models to assess the effectiveness of management for reducing density, with the implicit assumption that economic impact of the invasive species will also decline. The optimal management effort, however, is that which minimizes the sum of both the management and impact costs. The relationship between population density and economic impact (what we call the “density–impact curve”) is rarely examined in a management context and could take several nonlinear forms. Here we determine the effects of population dynamics and density–impact curves of different shapes on optimal management effort and discover cases where management is either highly effective or a waste of resources. When an inaccurate density–impact curve is used, the increase in total costs due to over- or underinvestment in management can be large. We calculate the increase in total costs incurred if the density–impact curve is incorrect and find that the greater the maximum impact caused by an invasive species, the more important it is not only to reduce its density, but also to know the shape of the density–impact relationship accurately. Lack of information regarding the relationship between density and economic impact causes the most acute problems for invaders that cause high impact at low density, where management typically will be too little, too late. For species that are only problematic at high density, ignorance of the density–impact curve can lead to overinvestment in management with little reduction in impact.
Keyword cost of impact
density dependence
invasive species
modeling economic impact of pests and their control
stochastic dynamic programming
value of information
weed management
Q-Index Code C1
Q-Index Status Confirmed Code

 
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Created: Mon, 30 Nov 2009, 16:06:10 EST by Hayley Ware on behalf of School of Biological Sciences