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

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, al...

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Veröffentlicht in:Biological invasions 2020-05, Vol.22 (5), p.1801-1820
Hauptverfasser: Novoa, Ana, Richardson, David M., Pyšek, Petr, Meyerson, Laura A., Bacher, Sven, Canavan, Susan, Catford, Jane A., Čuda, Jan, Essl, Franz, Foxcroft, Llewellyn C., Genovesi, Piero, Hirsch, Heidi, Hui, Cang, Jackson, Michele C., Kueffer, Christoph, Le Roux, Johannes J., Measey, John, Mohanty, Nitya P., Moodley, Desika, Müller-Schärer, Heinz, Packer, Jasmin G., Pergl, Jan, Robinson, Tamara B., Saul, Wolf-Christian, Shackleton, Ross T., Visser, Vernon, Weyl, Olaf L. F., Yannelli, Florencia A., Wilson, John R. U.
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container_end_page 1820
container_issue 5
container_start_page 1801
container_title Biological invasions
container_volume 22
creator Novoa, Ana
Richardson, David M.
Pyšek, Petr
Meyerson, Laura A.
Bacher, Sven
Canavan, Susan
Catford, Jane A.
Čuda, Jan
Essl, Franz
Foxcroft, Llewellyn C.
Genovesi, Piero
Hirsch, Heidi
Hui, Cang
Jackson, Michele C.
Kueffer, Christoph
Le Roux, Johannes J.
Measey, John
Mohanty, Nitya P.
Moodley, Desika
Müller-Schärer, Heinz
Packer, Jasmin G.
Pergl, Jan
Robinson, Tamara B.
Saul, Wolf-Christian
Shackleton, Ross T.
Visser, Vernon
Weyl, Olaf L. F.
Yannelli, Florencia A.
Wilson, John R. U.
description 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.
doi_str_mv 10.1007/s10530-020-02220-w
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F.</au><au>Yannelli, Florencia A.</au><au>Wilson, John R. U.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management</atitle><jtitle>Biological invasions</jtitle><stitle>Biol Invasions</stitle><date>2020-05-01</date><risdate>2020</risdate><volume>22</volume><issue>5</issue><spage>1801</spage><epage>1820</epage><pages>1801-1820</pages><issn>1387-3547</issn><eissn>1573-1464</eissn><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.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s10530-020-02220-w</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0002-8935-3296</orcidid><orcidid>https://orcid.org/0000-0002-7071-6739</orcidid><orcidid>https://orcid.org/0000-0002-7972-7928</orcidid><orcidid>https://orcid.org/0000-0002-3660-8160</orcidid><orcidid>https://orcid.org/0000-0001-7911-9810</orcidid><orcidid>https://orcid.org/0000-0002-0788-2136</orcidid><orcidid>https://orcid.org/0000-0003-0936-1470</orcidid><orcidid>https://orcid.org/0000-0002-0262-1420</orcidid><orcidid>https://orcid.org/0000-0002-2370-2051</orcidid><orcidid>https://orcid.org/0000-0001-9939-7615</orcidid><orcidid>https://orcid.org/0000-0001-9574-8297</orcidid><orcidid>https://orcid.org/0000-0001-8500-442X</orcidid><orcidid>https://orcid.org/0000-0003-0174-3239</orcidid><orcidid>https://orcid.org/0000-0003-0582-5960</orcidid><orcidid>https://orcid.org/0000-0001-5515-1445</orcidid><orcidid>https://orcid.org/0000-0002-0045-1974</orcidid><orcidid>https://orcid.org/0000-0001-5628-4506</orcidid><orcidid>https://orcid.org/0000-0001-7092-3917</orcidid><orcidid>https://orcid.org/0000-0003-2444-5015</orcidid><orcidid>https://orcid.org/0000-0001-6506-5655</orcidid><orcidid>https://orcid.org/0000-0001-7768-6483</orcidid><orcidid>https://orcid.org/0000-0003-1544-5312</orcidid><orcidid>https://orcid.org/0000-0001-8253-2112</orcidid><orcidid>https://orcid.org/0000-0001-6701-0703</orcidid><orcidid>https://orcid.org/0000-0002-3584-6159</orcidid><orcidid>https://orcid.org/0000-0002-1283-3865</orcidid><orcidid>https://orcid.org/0000-0002-6194-1299</orcidid><orcidid>https://orcid.org/0000-0001-5147-7165</orcidid><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1387-3547
ispartof Biological invasions, 2020-05, Vol.22 (5), p.1801-1820
issn 1387-3547
1573-1464
language eng
recordid cdi_proquest_journals_2619964751
source Springer Nature - Complete Springer Journals
subjects Aquatic ecosystems
Aquatic organisms
Aquatic plants
Aridity
Biodiversity
Biology
Cacti
Case studies
Comparative studies
Context
Dependence
Developmental Biology
Disorders
Ecology
Ecosystem biology
Ecosystems
Freshwater & Marine Ecology
Freshwater ecosystems
Freshwater fish
Frogs
Harbors
Insects
Introduced species
Invasions
Life Sciences
Management
Nonnative species
Original Paper
Plant Sciences
Risk assessment
Science
Zoology
title Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management
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