Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/151295
Title: Using network theory to understand and predict biological invasions
Authors: Frost, Carol M.
Allen, Warwick J.
Courchamp, Franck
Jeschke, Jonathan M.
Saul, Wolf-Christian
Wardle, David A.
Keywords: Science::Biological sciences::Ecology
Issue Date: 2019
Source: Frost, 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.2019.04.012
Journal: Trends in Ecology & Evolution
Abstract: 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.
URI: https://hdl.handle.net/10356/151295
ISSN: 0169-5347
DOI: 10.1016/j.tree.2019.04.012
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.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ASE Journal Articles

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