Utilize este identificador para referenciar este registo: http://hdl.handle.net/10348/4308
Título: Predicting trends of invasive plants richness using local socio-economic data: An application in North Portugal.
Autor: Santos, Mário
Freitas, Raul
Crespí, António Luís
Hughes, Samantha Jane
Cabral, João Alexandre
Palavras-chave: Stochastic dynamic methodology
Invasive plant richness
Geophysical parameters
Socio-economic trends
Disturbance ecology
Data: 2011
Citação: Santos M. et al, 2011
Resumo: This 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.
Revisão por Pares: yes
URI: http://hdl.handle.net/10348/4308
Tipo de Documento: Artigo
Aparece nas colecções:DEBA - Artigo publicado em Revista Científica Indexada

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
30. Santos et al. 2011.pdf
  Restricted Access
569,95 kBAdobe PDFVer/Abrir Request a copy


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex mendeley Endnote Logotipo do DeGóis Logotipo do Orcid 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.