Using Network Theory to Understand and Predict Biological Invasions
Trends in Ecology & Evolution 34(9): 831-843
Article 2019 English
Authors
CF
Carol M. Frost
WA
Warwick J. Allen
FC
Franck Courchamp
Abstract
1 min read
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.
Daniel Simberloff, Jean‐Louis Martin, Piero Genovesi, Virginie Maris, David A. Wardle, James Aronson, Franck Courchamp, Bella S. Galil, Emili García‐Berthou, Michel Pascal, Petr Pyšek, Ronaldo Sousa, Éric Tabacchi, Montserrat Vilà
Kwek Yan Chong, Richard T. Corlett, Martín A. Núñez, Jing Hua Chiu, Franck Courchamp, Wayne Dawson, Sara E. Kuebbing, Andrew M. Liebhold, Michael Padmanaba, Lara Souza, Kelly M. Andersen, Songlin Fei, Benjamin P. Y.‐H. Lee, Shawn Lum, Matthew Scott Luskin, Kang Min Ngo, David A. Wardle
Annual Review of Ecology Evolution and Systematics
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