Scinovex
article Open AccessTop 10% cited

An ounce of prevention or a pound of cure: bioeconomic risk analysis of invasive species

Proceedings of the Royal Society B Biological Sciences · 2002 · Vol. 269(1508) · pp. 2407–2413
Brian LeungDavid M. LodgeDavid FinnoffJason F. ShogrenMark A. LewisGary A. Lamberti

Abstract

Numbers of non-indigenous species--species introduced from elsewhere - are increasing rapidly worldwide, causing both environmental and economic damage. Rigorous quantitative risk-analysis frameworks, however, for invasive species are lacking. We need to evaluate the risks posed by invasive species and quantify the relative merits of different management strategies (e.g. allocation of resources between prevention and control). We present a quantitative bioeconomic modelling framework to analyse risks from non-indigenous species to economic activity and the environment. The model identifies the optimal allocation of resources to prevention versus control, acceptable invasion risks and consequences of invasion to optimal investments (e.g. labour and capital). We apply the model to zebra mussels (Dreissena polymorpha), and show that society could benefit by spending up to US$324 000 year(-1) to prevent invasions into a single lake with a power plant. By contrast, the US Fish and Wildlife Service spent US$825 000 in 2001 to manage all aquatic invaders in all US lakes. Thus, greater investment in prevention is warranted.

Aquatic Invertebrate Ecology and BehaviorAnimal Ecology and Behavior StudiesFish Ecology and Management StudiesFluid ounce (US)Invasive speciesDreissenaWildlifeNatural resource economicsZebra musselIntroduced speciesIndigenousInvestment (military)Time horizon

MeSH terms

AnimalsFresh WaterPopulation DynamicsStochastic ProcessesModels, EconometricEcosystemRisk AssessmentBivalvia

Funding

  • National Science Foundation
  • Canada Research Chairs
Citations
991
FWCI
11.73
field-weighted impact
References
27
Percentile
99%
vs. same field & year
Citations per year
References
An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias
Journal of the American Statistical Association · 1962 · 7,990 citations
Global Biodiversity Scenarios for the Year 2100
Science · 2000 · 9,125 citations
BIOTIC INVASIONS: CAUSES, EPIDEMIOLOGY, GLOBAL CONSEQUENCES, AND CONTROL
Ecological Applications · 2000 · 6,097 citations
Predicting the identity and impact of future biological invaders: a priority for aquatic resource management
Canadian Journal of Fisheries and Aquatic Sciences · 1998 · 481 citations
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.