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Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management

Research output: Contribution to journalArticle

Ana Novoa, David M. Richardson, Petr Pyšek, Laura A. Meyerson, Sven Bacher, Susan Canavan, Jane A. Catford, Jan Čuda, Franz Essl, Llewellyn C. Foxcroft, Piero Genovesi, Heidi Hirsch, Cang Hui, Michele C. Jackson, Christoph Kueffer, Johannes J. Le Roux, John Measey, Nitya P. Mohanty, Desika Moodley, Heinz Müller-Schärer & 9 more Jasmin G. Packer, Jan Pergl, Tamara B. Robinson, Wolf Christian Saul, Ross T. Shackleton, Vernon Visser, Olaf L.F. Weyl, Florencia A. Yannelli, John R.U. Wilson

Original languageEnglish
Pages (from-to)1801-1820
Number of pages20
Issue number5
Accepted/In press1 Jan 2020
Published1 May 2020

King's Authors


Our ability to predict invasions has been hindered by the seemingly idiosyncratic context-dependency of individual invasions. However, we argue that robust and useful generalisations in invasion science can be made by considering “invasion syndromes” which we define as “a combination of pathways, alien species traits, and characteristics of the recipient ecosystem which collectively result in predictable dynamics and impacts, and that can be managed effectively using specific policy and management actions”. We describe this approach and outline examples that highlight its utility, including: cacti with clonal fragmentation in arid ecosystems; small aquatic organisms introduced through ballast water in harbours; large ranid frogs with frequent secondary transfers; piscivorous freshwater fishes in connected aquatic ecosystems; plant invasions in high-elevation areas; tall-statured grasses; and tree-feeding insects in forests with suitable hosts. We propose a systematic method for identifying and delimiting invasion syndromes. We argue that invasion syndromes can account for the context-dependency of biological invasions while incorporating insights from comparative studies. Adopting this approach will help to structure thinking, identify transferrable risk assessment and management lessons, and highlight similarities among events that were previously considered disparate invasion phenomena.

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