Using network theory to understand and predict biological invasions

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...

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Main Authors: Frost, Carol M., Allen, Warwick J., Courchamp, Franck, Jeschke, Jonathan M., Saul, Wolf-Christian, Wardle, David A.
Other Authors: Asian School of the Environment
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/151295
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1512952023-02-28T16:41:22Z 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. Asian School of the Environment Science::Biological sciences::Ecology Ecological Invasion Ecological Network 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. Accepted version We 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. 2021-06-10T01:41:21Z 2021-06-10T01:41:21Z 2019 Journal Article 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 0169-5347 https://hdl.handle.net/10356/151295 10.1016/j.tree.2019.04.012 31155422 2-s2.0-85066282858 9 34 831 843 en Trends in Ecology & Evolution © 2019 Elsevier Ltd. All rights reserved. This paper was published in Trends in Ecology & Evolution and is made available with permission of Elsevier Ltd. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Biological sciences::Ecology
Ecological Invasion
Ecological Network
spellingShingle Science::Biological sciences::Ecology
Ecological Invasion
Ecological Network
Frost, Carol M.
Allen, Warwick J.
Courchamp, Franck
Jeschke, Jonathan M.
Saul, Wolf-Christian
Wardle, David A.
Using network theory to understand and predict biological invasions
description 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.
author2 Asian School of the Environment
author_facet Asian School of the Environment
Frost, Carol M.
Allen, Warwick J.
Courchamp, Franck
Jeschke, Jonathan M.
Saul, Wolf-Christian
Wardle, David A.
format Article
author Frost, Carol M.
Allen, Warwick J.
Courchamp, Franck
Jeschke, Jonathan M.
Saul, Wolf-Christian
Wardle, David A.
author_sort Frost, Carol M.
title Using network theory to understand and predict biological invasions
title_short Using network theory to understand and predict biological invasions
title_full Using network theory to understand and predict biological invasions
title_fullStr Using network theory to understand and predict biological invasions
title_full_unstemmed Using network theory to understand and predict biological invasions
title_sort using network theory to understand and predict biological invasions
publishDate 2021
url https://hdl.handle.net/10356/151295
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