Economic impacts of non-native forest insects in the continental United States.

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...

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Autores principales: 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
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Publicado: Public Library of Science (PLoS) 2011
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Acceso en línea:https://doaj.org/article/1b0f7450e6f44ce1a3948c3f95254eb4
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spelling oai:doaj.org-article:1b0f7450e6f44ce1a3948c3f95254eb42021-11-04T06:08:54ZEconomic impacts of non-native forest insects in the continental United States.1932-620310.1371/journal.pone.0024587https://doaj.org/article/1b0f7450e6f44ce1a3948c3f95254eb42011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21931766/?tool=EBIhttps://doaj.org/toc/1932-6203Reliable 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.Juliann E AukemaBrian LeungKent KovacsCorey ChiversKerry O BrittonJeffrey EnglinSusan J FrankelRobert G HaightThomas P HolmesAndrew M LiebholdDeborah G McCulloughBetsy Von HollePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 9, p e24587 (2011)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
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
Economic impacts of non-native forest insects in the continental United States.
description 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.
format article
author 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
author_facet 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
author_sort Juliann E Aukema
title Economic impacts of non-native forest insects in the continental United States.
title_short Economic impacts of non-native forest insects in the continental United States.
title_full Economic impacts of non-native forest insects in the continental United States.
title_fullStr Economic impacts of non-native forest insects in the continental United States.
title_full_unstemmed Economic impacts of non-native forest insects in the continental United States.
title_sort economic impacts of non-native forest insects in the continental united states.
publisher Public Library of Science (PLoS)
publishDate 2011
url https://doaj.org/article/1b0f7450e6f44ce1a3948c3f95254eb4
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