Predicting trends of invasive plants richness using local socio-economic data: An application in North Portugal.

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dc.contributor.authorSantos, Mário
dc.contributor.authorFreitas, Raul
dc.contributor.authorCrespí, António Luís
dc.contributor.authorHughes, Samantha Jane
dc.contributor.authorCabral, João Alexandre
dc.date.accessioned2015-03-17T15:09:18Z
dc.date.available2015-03-17T15:09:18Z
dc.date.issued2011
dc.description.abstractThis study assesses the potential of an integrated methodology for predicting local trends in invasive exotic plant species (invasive richness) using indirect, regional information on human disturbance. The distribution of invasive plants was assessed in North Portugal using herbarium collections and local environmental, geophysical and socio-economic characteristics. Invasive richness response to anthropogenic disturbance was predicted using a dynamic model based on a sequential modeling process (stochastic dynamic methodology—StDM). Derived scenarios showed that invasive richness trends were clearly associated with ongoing socio-economic change. Simulations including scenarios of growing urbanization showed an increase in invasive richness while simulations in municipalities with decreasing populations showed stable or decreasing levels of invasive richness. The model simulations demonstrate the interest and feasibility of using this methodology in disturbance ecology.pt
dc.identifier.citationSantos M. et al, 2011pt
dc.identifier.otherdoi:10.1016/j.envres.2011.03.014
dc.identifier.urihttp://hdl.handle.net/10348/4308
dc.language.isoengpt
dc.peerreviewedyespt
dc.relation.ispartofCITAB - Centro de Investigação e de Tecnologias Agro-Ambientais e Biológicaspt
dc.rightsrestricted accesspt
dc.subjectStochastic dynamic methodologypt
dc.subjectInvasive plant richnesspt
dc.subjectGeophysical parameterspt
dc.subjectSocio-economic trendspt
dc.subjectDisturbance ecologypt
dc.titlePredicting trends of invasive plants richness using local socio-economic data: An application in North Portugal.pt
dc.typejournal articlept
degois.publication.firstPage960pt
degois.publication.issue111pt
degois.publication.lastPage966pt
degois.publication.locationElsevierpt
degois.publication.titleEnvironmental Researchpt
dspace.entity.typePublicationen
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