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...
Saved in:
Main Authors: | , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/151295 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-151295 |
---|---|
record_format |
dspace |
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 |
_version_ |
1759856330327195648 |