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Economic Impacts of Non-Native Forest Insects in the Continental United States

Overview of attention for article published in PLOS ONE, September 2011
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Title
Economic Impacts of Non-Native Forest Insects in the Continental United States
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0024587
Pubmed ID
Authors

Juliann E. Aukema, Brian Leung, Kent Kovacs, Corey Chivers, Kerry O. Britton, Jeffrey Englin, Susan J. Frankel, Robert G. Haight, Thomas P. Holmes, Andrew M. Liebhold, Deborah G. McCullough, Betsy Von Holle

Abstract

Reliable estimates of the impacts and costs of biological invasions are critical to developing credible management, trade and regulatory policies. Worldwide, forests and urban trees provide important ecosystem services as well as economic and social benefits, but are threatened by non-native insects. More than 450 non-native forest insects are established in the United States but estimates of broad-scale economic impacts associated with these species are largely unavailable. We developed a novel modeling approach that maximizes the use of available data, accounts for multiple sources of uncertainty, and provides cost estimates for three major feeding guilds of non-native forest insects. For each guild, we calculated the economic damages for five cost categories and we estimated the probability of future introductions of damaging pests. We found that costs are largely borne by homeowners and municipal governments. Wood- and phloem-boring insects are anticipated to cause the largest economic impacts by annually inducing nearly $1.7 billion in local government expenditures and approximately $830 million in lost residential property values. Given observations of new species, there is a 32% chance that another highly destructive borer species will invade the U.S. in the next 10 years. Our damage estimates provide a crucial but previously missing component of cost-benefit analyses to evaluate policies and management options intended to reduce species introductions. The modeling approach we developed is highly flexible and could be similarly employed to estimate damages in other countries or natural resource sectors.

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Geographical breakdown

Country Count As %
United States 13 3%
Australia 3 <1%
Canada 2 <1%
France 1 <1%
Austria 1 <1%
Sweden 1 <1%
Unknown 421 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 114 26%
Student > Ph. D. Student 89 20%
Student > Master 56 13%
Student > Bachelor 42 10%
Other 15 3%
Other 59 13%
Unknown 67 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 176 40%
Environmental Science 109 25%
Social Sciences 14 3%
Biochemistry, Genetics and Molecular Biology 10 2%
Economics, Econometrics and Finance 10 2%
Other 37 8%
Unknown 86 19%