English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/61159
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Title

TEASIng apart alien species risk assessments: A framework for best practices

AuthorsLeung, B.; Roura-Pascual, N.; Bacher, Sven; Heikkilä, J.; Brotons, Lluís; Burgman, Mark A.; Dehnen-Schmutz, K.; Essl, Franz; Hulme, Philip E.; Richardson, David M.; Sol, Daniel; Vilà, Montserrat
Issue Date2012
PublisherBlackwell Publishing
CitationEcology Letters 15: 1475- 1493 (2012)
AbstractSome alien species cause substantial impacts, yet most are innocuous. Given limited resources, forecasting risks from alien species will help prioritise management. Given that risk assessment (RA) approaches vary widely, a synthesis is timely to highlight best practices. We reviewed quantitative and scoring RAs, integrating > 300 publications into arguably the most rigorous quantitative RA framework currently existing, and mapping each study onto our framework, which combines Transport, Establishment, Abundance, Spread and Impact (TEASI). Quantitative models generally measured single risk components (78% of studies), often focusing on Establishment alone (79%). Although dominant in academia, quantitative RAs are underused in policy, and should be made more accessible. Accommodating heterogeneous limited data, combining across risk components, and developing generalised RAs across species, space and time without requiring new models for each species may increase attractiveness for policy applications. Comparatively, scoring approaches covered more risk components (50% examined > 3 components), with Impact being the most common component (87%), and have been widely applied in policy (> 57%), but primarily employed expert opinion. Our framework provides guidance for questions asked, combining scores and other improvements. Our risk framework need not be completely parameterised to be informative, but instead identifies opportunities for improvement in alien species RA. © 2012 Blackwell Publishing Ltd/CNRS.
URIhttp://hdl.handle.net/10261/61159
DOI10.1111/ele.12003
Identifiersdoi: 10.1111/ele.12003
issn: 1461-023X
Appears in Collections:(EBD) Artículos
Files in This Item:
File Description SizeFormat 
vilà 2012.pdf460,6 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.