Using Network Theory to Understand and Predict Biological Invasions

Carol M Frost¹, Warwick J Allen², Franck Courchamp³, Jonathan M Jeschke⁴, Wolf-Christian Saul⁵, David A Wardle⁶

Affiliations

¹ 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@ualberta.ca.
² The Bio-Protection Research Centre, Lincoln University, PO Box 84, Lincoln 7647, New Zealand.
³ Ecologie, Systématique, and Evolution, Univ Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91400, Orsay, France.
⁴ 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 Biodiversity Research (BBIB), Altensteinstr. 34, 14195 Berlin, Germany.
⁵ 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 Biodiversity Research (BBIB), Altensteinstr. 34, 14195 Berlin, Germany; Centre for Invasion Biology (CIB), Department of Botany and Zoology & Department of Mathematical Sciences, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa.
⁶ 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.

PMID: 31155422
DOI: 10.1016/j.tree.2019.04.012

Review

Using Network Theory to Understand and Predict Biological Invasions

Carol M Frost et al. Trends Ecol Evol. 2019 Sep.

. 2019 Sep;34(9):831-843.

doi: 10.1016/j.tree.2019.04.012. Epub 2019 May 30.

Authors

Carol M Frost¹, Warwick J Allen², Franck Courchamp³, Jonathan M Jeschke⁴, Wolf-Christian Saul⁵, David A Wardle⁶

Affiliations

¹ 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@ualberta.ca.
² The Bio-Protection Research Centre, Lincoln University, PO Box 84, Lincoln 7647, New Zealand.
³ Ecologie, Systématique, and Evolution, Univ Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91400, Orsay, France.
⁴ 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 Biodiversity Research (BBIB), Altensteinstr. 34, 14195 Berlin, Germany.
⁵ 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 Biodiversity Research (BBIB), Altensteinstr. 34, 14195 Berlin, Germany; Centre for Invasion Biology (CIB), Department of Botany and Zoology & Department of Mathematical Sciences, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa.
⁶ 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.

PMID: 31155422
DOI: 10.1016/j.tree.2019.04.012

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.

Keywords: ecological invasion; ecological network; invasibility; invasive species; invasiveness; transportation network.

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Using Network Theory to Understand and Predict Biological Invasions

Affiliations

Using Network Theory to Understand and Predict Biological Invasions

Authors

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Abstract

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