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Using Network Theory to Understand and Predict Biological Invasions.
Frost, Carol M; Allen, Warwick J; Courchamp, Franck; Jeschke, Jonathan M; Saul, Wolf-Christian; Wardle, David A.
Afiliação
  • Frost CM; Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Skogsmarksgränd, SE901 83 Umeå, Sweden; Current address: Department of Renewable Resources, University of Alberta, 230D Earth Sciences Building, Edmonton, AB, Canada T6G 2E3. Electronic address: cmfrost@ualbert
  • Allen WJ; The Bio-Protection Research Centre, Lincoln University, PO Box 84, Lincoln 7647, New Zealand.
  • Courchamp F; Ecologie, Systématique, and Evolution, Univ Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91400, Orsay, France.
  • Jeschke JM; Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Müggelseedamm 310, 12587, Berlin, Germany; Freie Universität Berlin, Department of Biology, Chemistry, Pharmacy, Institute of Biology, Königin-Luise-Str. 1-3, 14195 Berlin, Germany; Berlin-Brandenburg Institute of Advanced Biodivers
  • Saul WC; Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Müggelseedamm 310, 12587, Berlin, Germany; Freie Universität Berlin, Department of Biology, Chemistry, Pharmacy, Institute of Biology, Königin-Luise-Str. 1-3, 14195 Berlin, Germany; Berlin-Brandenburg Institute of Advanced Biodivers
  • Wardle DA; Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Skogsmarksgränd, SE901 83 Umeå, Sweden; Asian School of the Environment, Nanyang Technological University, 50 Nanyang Avenue, Singapore.
Trends Ecol Evol ; 34(9): 831-843, 2019 09.
Article em En | MEDLINE | ID: mdl-31155422
Understanding and predicting biological invasions is challenging because of the complexity of many interacting players. A holistic approach is needed with the potential to simultaneously consider all relevant effects and effectors. Using networks to describe the relevant anthropogenic and ecological factors, from community-level to global scales, promises advances in understanding aspects of invasion from propagule pressure, through establishment, spread, and ecological impact of invaders. These insights could lead to development of new tools for prevention and management of invasions that are based on species' network characteristics and use of networks to predict the ecological effects of invaders. Here, we review the findings from network ecology that show the most promise for invasion biology and identify pressing needs for future research.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Espécies Introduzidas Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Trends Ecol Evol Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Espécies Introduzidas Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Trends Ecol Evol Ano de publicação: 2019 Tipo de documento: Article