Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/30519
Full metadata record
DC FieldValueLanguage
dc.contributor.authorClarke, David Aen
dc.contributor.authorPalmer, David Jen
dc.contributor.authorMcGrannachan, Chrisen
dc.contributor.authorBurgess, Treena Ien
dc.contributor.authorChown, Steven Len
dc.contributor.authorClarke, Rohan Hen
dc.contributor.authorKumschick, Sabrinaen
dc.contributor.authorLach, Lorien
dc.contributor.authorLiebhold, Andrew Men
dc.contributor.authorRoy, Helen Een
dc.contributor.authorSaunders, Manu Een
dc.contributor.authorYeates, David Ken
dc.contributor.authorZalucki, Myron Pen
dc.contributor.authorMcGeoch, Melodie Aen
dc.date.accessioned2021-05-04T07:11:44Z-
dc.date.available2021-05-04T07:11:44Z-
dc.date.issued2021-04-23-
dc.identifier.citationEcosphere, 12(4), p. 1-21en
dc.identifier.issn2150-8925en
dc.identifier.urihttps://hdl.handle.net/1959.11/30519-
dc.description.abstractImpact assessment is an important and cost‐effective tool for assisting in the identification and prioritization of invasive alien species. With the number of alien and invasive alien species expected to increase, reliance on impact assessment tools for the identification of species that pose the greatest threats will continue to grow. Given the importance of such assessments for management and resource allocation, it is critical to understand the uncertainty involved and what effect this may have on the outcome. Using an uncertainty typology and insects as a model taxon, we identified and classified the causes and types of uncertainty when performing impact assessments on alien species. We assessed 100 alien insect species across two rounds of assessments with each species independently assessed by two assessors. Agreement between assessors was relatively low for all three impact classification components (mechanism, severity, and confidence) after the first round of assessments. For the second round, we revised guidelines and gave assessors access to each other's assessments which improved agreement by between 20% and 30% for impact mechanism, severity, and confidence. Of the 12 potential reasons for assessment discrepancies identified a priori, 11 were found to occur. The most frequent causes (and types) of uncertainty (i.e., differences between assessment outcomes for the same species) were as follows: incomplete information searches (systematic error), unclear mechanism and/or extent of impact (subjective judgment due to a lack of knowledge), and limitations of the assessment framework (context dependence). In response to these findings, we identify actions that may reduce uncertainty in the impact assessment process, particularly for assessing speciose taxa with diverse life histories such as Insects. Evidence of environmental impact was available for most insect species, and (of the non‐random original subset of species assessed) 14 of those with evidence were identified as high impact species (with either major or massive impact). Although uncertainty in risk assessment, including impact assessments, can never be eliminated, identifying, and communicating its cause and variety is a first step toward its reduction and a more reliable assessment outcome, regardless of the taxa being assessed.en
dc.languageenen
dc.publisherEcological Society of Americaen
dc.relation.ispartofEcosphereen
dc.rightsAttribution 3.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/*
dc.titleOptions for reducing uncertainty in impact classification for alien speciesen
dc.typeJournal Articleen
dc.identifier.doi10.1002/ecs2.3461en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameDavid Aen
local.contributor.firstnameDavid Jen
local.contributor.firstnameChrisen
local.contributor.firstnameTreena Ien
local.contributor.firstnameSteven Len
local.contributor.firstnameRohan Hen
local.contributor.firstnameSabrinaen
local.contributor.firstnameLorien
local.contributor.firstnameAndrew Men
local.contributor.firstnameHelen Een
local.contributor.firstnameManu Een
local.contributor.firstnameDavid Ken
local.contributor.firstnameMyron Pen
local.contributor.firstnameMelodie Aen
local.subject.for2008050103 Invasive Species Ecologyen
local.subject.for2008050205 Environmental Managementen
local.subject.seo2008960405 Control of Pests, Diseases and Exotic Species at Regional or Larger Scalesen
local.subject.seo2008960501 Ecosystem Assessment and Management at Regional or Larger Scalesen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailmsaund28@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited States of Americaen
local.identifier.runningnumbere03461en
local.format.startpage1en
local.format.endpage21en
local.identifier.scopusid85104963991en
local.peerreviewedYesen
local.identifier.volume12en
local.identifier.issue4en
local.access.fulltextYesen
local.contributor.lastnameClarkeen
local.contributor.lastnamePalmeren
local.contributor.lastnameMcGrannachanen
local.contributor.lastnameBurgessen
local.contributor.lastnameChownen
local.contributor.lastnameClarkeen
local.contributor.lastnameKumschicken
local.contributor.lastnameLachen
local.contributor.lastnameLiebholden
local.contributor.lastnameRoyen
local.contributor.lastnameSaundersen
local.contributor.lastnameYeatesen
local.contributor.lastnameZaluckien
local.contributor.lastnameMcGeochen
dc.identifier.staffune-id:msaund28en
local.profile.orcid0000-0003-0645-8277en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/30519en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleOptions for reducing uncertainty in impact classification for alien speciesen
local.relation.fundingsourcenoteWe acknowledge financial support from the Invasive Species Council, the Ian Potter Foundation, Monash University, the Australian Department of Agriculture, and the Queensland Department of Environment. We thank Andrew Cox, Carol Booth, and Rebecca O’Connor, for their comments. MAM acknowledges support from the Australian Research Council (DP200101680). DAC acknowledges support from an Australian Government Research Training Program (RTP) scholarship. SLC is supported by Australian Antarctic Science Grant 4482. SK thanks the South African National Department of Environment, Forestry and Fisheries (DEFF) and the DSI‐NRF Centre of Excellence for Invasion Biology (CIB) at Stellenbosch University. HER was partly supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK‐SCAPE program delivering National Capability. AML received support from the National Science Foundation Macrosystems Biology Program (grant numbers 1241932, 1638702) and grant EVA4.0, No. CZ.02.1.01/0.0/0.0/16_019/0000803 financed by OP RDE.en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorClarke, David Aen
local.search.authorPalmer, David Jen
local.search.authorMcGrannachan, Chrisen
local.search.authorBurgess, Treena Ien
local.search.authorChown, Steven Len
local.search.authorClarke, Rohan Hen
local.search.authorKumschick, Sabrinaen
local.search.authorLach, Lorien
local.search.authorLiebhold, Andrew Men
local.search.authorRoy, Helen Een
local.search.authorSaunders, Manu Een
local.search.authorYeates, David Ken
local.search.authorZalucki, Myron Pen
local.search.authorMcGeoch, Melodie Aen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/49ee435a-accf-4a0f-86e0-b751ffc5b0a8en
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000645597500026en
local.year.published2021en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/49ee435a-accf-4a0f-86e0-b751ffc5b0a8en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/49ee435a-accf-4a0f-86e0-b751ffc5b0a8en
local.subject.for2020410202 Biosecurity science and invasive species ecologyen
local.subject.for2020410404 Environmental managementen
local.subject.seo2020180403 Assessment and management of Antarctic and Southern Ocean ecosystemsen
Appears in Collections:Journal Article
School of Environmental and Rural Science
UNE Business School
Files in This Item:
2 files
File Description SizeFormat 
openpublished/OptionsSaunders2021JournalArticle.pdfPublished version1.63 MBAdobe PDF
Download Adobe
View/Open
Show simple item record

SCOPUSTM   
Citations

14
checked on Mar 16, 2024

Page view(s)

1,620
checked on Apr 2, 2023

Download(s)

8
checked on Apr 2, 2023
Google Media

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons