Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/151295
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dc.contributor.authorFrost, Carol M.en_US
dc.contributor.authorAllen, Warwick J.en_US
dc.contributor.authorCourchamp, Francken_US
dc.contributor.authorJeschke, Jonathan M.en_US
dc.contributor.authorSaul, Wolf-Christianen_US
dc.contributor.authorWardle, David A.en_US
dc.date.accessioned2021-06-10T01:41:21Z-
dc.date.available2021-06-10T01:41:21Z-
dc.date.issued2019-
dc.identifier.citationFrost, C. M., Allen, W. J., Courchamp, F., Jeschke, J. M., Saul, W. & Wardle, D. A. (2019). Using network theory to understand and predict biological invasions. Trends in Ecology & Evolution, 34(9), 831-843. https://dx.doi.org/10.1016/j.tree.2019.04.012en_US
dc.identifier.issn0169-5347en_US
dc.identifier.urihttps://hdl.handle.net/10356/151295-
dc.description.abstractUnderstanding 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.en_US
dc.language.isoenen_US
dc.relation.ispartofTrends in Ecology & Evolutionen_US
dc.rights© 2019 Elsevier Ltd. All rights reserved. This paper was published in Trends in Ecology & Evolution and is made available with permission of Elsevier Ltd.en_US
dc.subjectScience::Biological sciences::Ecologyen_US
dc.titleUsing network theory to understand and predict biological invasionsen_US
dc.typeJournal Articleen
dc.contributor.schoolAsian School of the Environmenten_US
dc.identifier.doi10.1016/j.tree.2019.04.012-
dc.description.versionAccepted versionen_US
dc.identifier.pmid31155422-
dc.identifier.scopus2-s2.0-85066282858-
dc.identifier.issue9en_US
dc.identifier.volume34en_US
dc.identifier.spage831en_US
dc.identifier.epage843en_US
dc.subject.keywordsEcological Invasionen_US
dc.subject.keywordsEcological Networken_US
dc.description.acknowledgementWe thank the ERA-Net BiodivERsA (project FFII) for financial support. W.J.A. was supported by Centre of Research Excellence funding to the Bio-Protection Research Centre from the Tertiary Education Commission. F.C. was additionally supported by ANR and Foundation BNP Paribas (Invacost), and J.M.J. was additionally supported by DFG project JE 288/9-2. W-C.S. acknowledges funding by the DST-NRF Centre of Excellence for Invasion Biology. We thank I. Bartomeus, J. Tylianakis, the ‘Weed Wing’ at Lincoln University, two anonymous reviewers, and the editor for their insightful comments on the manuscript. We additionally thank Hanno Seebens for kindly providing the figure on global shipping routes.en_US
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