干旱区生态环境知识资源中心(Arid): Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management

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DOI	10.1007/s10530-020-02220-w
	Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management
	Novoa, Ana 1,2,3; Richardson, David M.2; Pysek, Petr 1,2,4; Meyerson, Laura A.5; Bacher, Sven 2,6; Canavan, Susan 2,3,7; Catford, Jane A.8; Cuda, Jan 1; Essl, Franz 2,9; Foxcroft, Llewellyn C.2,10; Genovesi, Piero 2,11,12; Hirsch, Heidi 2; Hui, Cang 13,14; Jackson, Michele C.15; Kueffer, Christoph 2,16; Le Roux, Johannes J.2,17; Measey, John 2; Mohanty, Nitya P.2; Moodley, Desika 1,3; Mueller-Schaerer, Heinz 6; Packer, Jasmin G.18,19; Pergl, Jan 1; Robinson, Tamara B.2; Saul, Wolf-Christian 2,13; Shackleton, Ross T.2,20; Visser, Vernon 21,22; Weyl, Olaf L. F.23,24; Yannelli, Florencia A.2; Wilson, John R. U.2,3
通讯作者	Novoa, Ana
来源期刊	BIOLOGICAL INVASIONS
ISSN	1387-3547
EISSN	1573-1464
出版年	2020
卷号	22 期号:5 页码:1801-1820
英文摘要	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.
英文关键词	Biological invasions Context dependency Invasion science Invasive species
类型	Article
语种	英语
国家	Czech Republic ; South Africa ; USA ; Switzerland ; England ; Austria ; Italy ; Australia
开放获取类型	Green Submitted, Green Published, hybrid
收录类别	SCI-E
WOS记录号	WOS:000517736000002
WOS关键词	ALIEN PLANT INVASIONS ; LIFE-HISTORY TRAITS ; ECOLOGICAL IMPACTS ; AUSTRALIAN ACACIAS ; SPECIES TRAITS ; PROPAGULE PRESSURE ; GLOBAL ASSESSMENT ; BALLAST WATER ; NATIVE RANGE ; FRAMEWORK
WOS类目	Biodiversity Conservation ; Ecology
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
来源机构	University of London ; University of Oxford
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/314183
作者单位	1.Czech Acad Sci, Inst Bot, Dept Invas Ecol, Pruhonice 25243, Czech Republic; 2.Stellenbosch Univ, Dept Bot & Zool, Ctr Invas Biol, Stellenbosch, South Africa; 3.Kirstenbosch Res Ctr, South African Natl Biodivers Inst, Claremont, South Africa; 4.Charles Univ Prague, Dept Ecol, Fac Sci, Vinicna 7, CR-12844 Prague, Czech Republic; 5.Univ Rhode Isl, Dept Nat Resources Sci, Kingston, RI 02881 USA; 6.Univ Fribourg, Dept Biol, Fribourg, Switzerland; 7.Univ Florida, Agron Dept, Gainesville, FL 32611 USA; 8.Kings Coll London, Dept Geog, London WC2B 4BG, England; 9.Univ Vienna, Fac Ctr Biodivers, Div Conservat Biol Vegetat & Landscape Ecol, Vienna, Austria; 10.South African Natl Parks, Conservat Serv, Skukuza, South Africa; 11.Inst Environm Protect & Res, Rome, Italy; 12.Chair IUCN SSC Invas Species Specialist Grp, Rome, Italy; 13.Stellenbosch Univ, Dept Math Sci, Ctr Invas Biol, Stellenbosch, South Africa; 14.African Inst Math Sci, Math & Phys Biosci, Muizenberg, South Africa; 15.Univ Oxford, Dept Zool, Oxford OX1 3SZ, England; 16.Swiss Fed Inst Technol, Inst Integrat Biol, Zurich, Switzerland; 17.Macquarie Univ, Dept Biol Sci, Sydney, NSW 2109, Australia; 18.Univ Adelaide, Environm Inst, Adelaide, SA 5005, Australia; 19.Univ Adelaide, Sch Biol Sci, Adelaide, SA 5005, Australia; 20.Univ Lausanne, Inst Geog & Sustainabil, CH-1015 Lausanne, Switzerland; 21.Univ Cape Town, Dept Stat Sci, SEEC Ctr Stat Ecol Environm & Conservat, ZA-7701 Rondebosch, South Africa; 22.Univ Cape Town, African Climate & Dev Initiat, ZA-7701 Rondebosch, South Africa; 23.South Africa Inst Aquat Biodivers, Ctr Invas Biol, Grahamstown, South Africa; 24.South African Inst Aquat Biodivers, DSI NRF Res Chair Inland Fisheries & Freshwater E, Grahamstown, South Africa
推荐引用方式 GB/T 7714	Novoa, Ana,Richardson, David M.,Pysek, Petr,et al. Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management[J]. University of London, University of Oxford,2020,22(5):1801-1820.
APA	Novoa, Ana.,Richardson, David M..,Pysek, Petr.,Meyerson, Laura A..,Bacher, Sven.,...&Wilson, John R. U..(2020).Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management.BIOLOGICAL INVASIONS,22(5),1801-1820.
MLA	Novoa, Ana,et al."Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management".BIOLOGICAL INVASIONS 22.5(2020):1801-1820.