Predicting plant invaders in the Mediterranean through a weed risk assessment system

Risk assessment schemes have been developed to identify potential invasive species, prevent their spread and reduce their damaging effects. One of the most promising tools for detecting plant invaders is the weed risk assessment (WRA) scheme developed for Australia. Our study explores whether the Au...

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Detalles Bibliográficos
Autores: Gassó, Núria, Basnou, Corina, Vilà, Montserrat
Tipo de recurso: artículo
Fecha de publicación:2010
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/52206
Acceso en línea:http://hdl.handle.net/10261/52206
Access Level:acceso abierto
Palabra clave:Alien plants
Casual plants
Mediterranean region
Species traits
Weed risk assessment
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spelling Predicting plant invaders in the Mediterranean through a weed risk assessment systemGassó, NúriaBasnou, CorinaVilà, MontserratAlien plantsCasual plantsMediterranean regionSpecies traitsWeed risk assessmentRisk assessment schemes have been developed to identify potential invasive species, prevent their spread and reduce their damaging effects. One of the most promising tools for detecting plant invaders is the weed risk assessment (WRA) scheme developed for Australia. Our study explores whether the Australian WRA can satisfactorily pre- dict the invasion status of alien plants in the Mediterranean Basin by screening 100 invasive and 97 casual species in Spain. Furthermore, we analysed whether the factors taken into account in the WRA are linked to invasion likelihood (i.e., invasion status) or to impacts. The outcome was that 94% of the invasive species were rejected, 50% of the casual species were rejected and 29% of them required further evaluation. The accuracy for casuals is lower than in other studies that have tested non-invasive (i.e., casuals or non-escaped) alien species. We postulate that low accuracy for casual species could result from: (1) an incorrect ‘‘a priori’’ expert classification of the species status, (2) a high weight of the WRA scores given to potential impacts, and (3) casual species being prone to becoming invasive when reaching a minimum residence time threshold. Therefore, the WRA could be working as a precau- tion early-warning system to identify casual species with potential to become invasivePeer reviewedSpringer Nature201220122010info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/52206reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1007/s10530-009-9451-2info:eu-repo/semantics/openAccessoai:digital.csic.es:10261/522062026-05-22T06:33:51Z
dc.title.none.fl_str_mv Predicting plant invaders in the Mediterranean through a weed risk assessment system
title Predicting plant invaders in the Mediterranean through a weed risk assessment system
spellingShingle Predicting plant invaders in the Mediterranean through a weed risk assessment system
Gassó, Núria
Alien plants
Casual plants
Mediterranean region
Species traits
Weed risk assessment
title_short Predicting plant invaders in the Mediterranean through a weed risk assessment system
title_full Predicting plant invaders in the Mediterranean through a weed risk assessment system
title_fullStr Predicting plant invaders in the Mediterranean through a weed risk assessment system
title_full_unstemmed Predicting plant invaders in the Mediterranean through a weed risk assessment system
title_sort Predicting plant invaders in the Mediterranean through a weed risk assessment system
dc.creator.none.fl_str_mv Gassó, Núria
Basnou, Corina
Vilà, Montserrat
author Gassó, Núria
author_facet Gassó, Núria
Basnou, Corina
Vilà, Montserrat
author_role author
author2 Basnou, Corina
Vilà, Montserrat
author2_role author
author
dc.subject.none.fl_str_mv Alien plants
Casual plants
Mediterranean region
Species traits
Weed risk assessment
topic Alien plants
Casual plants
Mediterranean region
Species traits
Weed risk assessment
description Risk assessment schemes have been developed to identify potential invasive species, prevent their spread and reduce their damaging effects. One of the most promising tools for detecting plant invaders is the weed risk assessment (WRA) scheme developed for Australia. Our study explores whether the Australian WRA can satisfactorily pre- dict the invasion status of alien plants in the Mediterranean Basin by screening 100 invasive and 97 casual species in Spain. Furthermore, we analysed whether the factors taken into account in the WRA are linked to invasion likelihood (i.e., invasion status) or to impacts. The outcome was that 94% of the invasive species were rejected, 50% of the casual species were rejected and 29% of them required further evaluation. The accuracy for casuals is lower than in other studies that have tested non-invasive (i.e., casuals or non-escaped) alien species. We postulate that low accuracy for casual species could result from: (1) an incorrect ‘‘a priori’’ expert classification of the species status, (2) a high weight of the WRA scores given to potential impacts, and (3) casual species being prone to becoming invasive when reaching a minimum residence time threshold. Therefore, the WRA could be working as a precau- tion early-warning system to identify casual species with potential to become invasive
publishDate 2010
dc.date.none.fl_str_mv 2010
2012
2012
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/52206
url http://hdl.handle.net/10261/52206
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.1007/s10530-009-9451-2
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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