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 |
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container_title | Biological invasions |
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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 |
format | Article |
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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. 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F.</creatorcontrib><creatorcontrib>Yannelli, Florencia A.</creatorcontrib><creatorcontrib>Wilson, John R. U.</creatorcontrib><title>Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management</title><title>Biological invasions</title><addtitle>Biol Invasions</addtitle><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. 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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> |
fulltext | fulltext |
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 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T07%3A56%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Invasion%20syndromes:%20a%20systematic%20approach%20for%20predicting%20biological%20invasions%20and%20facilitating%20effective%20management&rft.jtitle=Biological%20invasions&rft.au=Novoa,%20Ana&rft.date=2020-05-01&rft.volume=22&rft.issue=5&rft.spage=1801&rft.epage=1820&rft.pages=1801-1820&rft.issn=1387-3547&rft.eissn=1573-1464&rft_id=info:doi/10.1007/s10530-020-02220-w&rft_dat=%3Cproquest_cross%3E2393961061%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2393961061&rft_id=info:pmid/&rfr_iscdi=true |