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

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; 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

doi:10.1007/s10530-020-02220-w

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

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-SchärerJasmin 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

^*Corresponding author for this work

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Abstract

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.

Original language	English
Pages (from-to)	1801-1820
Number of pages	20
Journal	BIOLOGICAL INVASIONS
Volume	22
Issue number	5
DOIs	https://doi.org/10.1007/s10530-020-02220-w
Publication status	Published - 1 May 2020

Keywords

Biological invasions
Context dependency
Invasion science
Invasive species

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s10530-020-02220-w

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Novoa, A., Richardson, D. M., Pyšek, P., Meyerson, L. A., Bacher, S., Canavan, S., Catford, J. A., Čuda, J., Essl, F., Foxcroft, L. C., Genovesi, P., Hirsch, H., Hui, C., Jackson, M. C., Kueffer, C., Le Roux, J. J., Measey, J., Mohanty, N. P., Moodley, D., ... Wilson, J. R. U. (2020). Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management. BIOLOGICAL INVASIONS, 22(5), 1801-1820. https://doi.org/10.1007/s10530-020-02220-w

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title = "Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management",

abstract = "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.",

keywords = "Biological invasions, Context dependency, Invasion science, Invasive species",

author = "Ana Novoa and Richardson, {David M.} and Petr Py{\v s}ek and Meyerson, {Laura A.} and Sven Bacher and Susan Canavan and Catford, {Jane A.} and Jan {\v C}uda and Franz Essl and Foxcroft, {Llewellyn C.} and Piero Genovesi and Heidi Hirsch and Cang Hui and Jackson, {Michele C.} and Christoph Kueffer and {Le Roux}, {Johannes J.} and John Measey and Mohanty, {Nitya P.} and Desika Moodley and Heinz M{\"u}ller-Sch{\"a}rer and Packer, {Jasmin G.} and Jan Pergl and Robinson, {Tamara B.} and Saul, {Wolf Christian} and Shackleton, {Ross T.} and Vernon Visser and Weyl, {Olaf L.F.} and Yannelli, {Florencia A.} and Wilson, {John R.U.}",

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doi = "10.1007/s10530-020-02220-w",

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Novoa, A, Richardson, DM, Pyšek, P, Meyerson, LA, Bacher, S, Canavan, S, Catford, JA, Čuda, J, Essl, F, Foxcroft, LC, Genovesi, P, Hirsch, H, Hui, C, Jackson, MC, Kueffer, C, Le Roux, JJ, Measey, J, Mohanty, NP, Moodley, D, Müller-Schärer, H, Packer, JG, Pergl, J, Robinson, TB, Saul, WC, Shackleton, RT, Visser, V, Weyl, OLF, Yannelli, FA & Wilson, JRU 2020, 'Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management', BIOLOGICAL INVASIONS, vol. 22, no. 5, pp. 1801-1820. https://doi.org/10.1007/s10530-020-02220-w

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T2 - a systematic approach for predicting biological invasions and facilitating effective management

AU - Novoa, Ana

AU - Richardson, David M.

AU - Pyšek, Petr

AU - Meyerson, Laura A.

AU - Bacher, Sven

AU - Canavan, Susan

AU - Catford, Jane A.

AU - Čuda, Jan

AU - Essl, Franz

AU - Foxcroft, Llewellyn C.

AU - Genovesi, Piero

AU - Hirsch, Heidi

AU - Hui, Cang

AU - Jackson, Michele C.

AU - Kueffer, Christoph

AU - Le Roux, Johannes J.

AU - Measey, John

AU - Mohanty, Nitya P.

AU - Moodley, Desika

AU - Müller-Schärer, Heinz

AU - Packer, Jasmin G.

AU - Pergl, Jan

AU - Robinson, Tamara B.

AU - Saul, Wolf Christian

AU - Shackleton, Ross T.

AU - Visser, Vernon

AU - Weyl, Olaf L.F.

AU - Yannelli, Florencia A.

AU - Wilson, John R.U.

PY - 2020/5/1

Y1 - 2020/5/1

N2 - 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.

AB - 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.

KW - Biological invasions

KW - Context dependency

KW - Invasion science

KW - Invasive species

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U2 - 10.1007/s10530-020-02220-w

DO - 10.1007/s10530-020-02220-w

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SN - 1387-3547

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JO - BIOLOGICAL INVASIONS

JF - BIOLOGICAL INVASIONS

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ER -

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

Abstract

Keywords

UN SDGs

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