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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F20%3A00533439" target="_blank" >RIV/67985939:_____/20:00533439 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11310/20:10421732

  • Result on the web

    <a href="https://doi.org/10.1007/s10530-020-02220-w" target="_blank" >https://doi.org/10.1007/s10530-020-02220-w</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10530-020-02220-w" target="_blank" >10.1007/s10530-020-02220-w</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    Our ability to predict invasions has been hindered by the seemingly idiosyncratic context dependency of individual invasions. 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. 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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10618 - Ecology

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Biological Invasions

  • ISSN

    1387-3547

  • e-ISSN

  • Volume of the periodical

    22

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    20

  • Pages from-to

    1801-1820

  • UT code for WoS article

    000517736000002

  • EID of the result in the Scopus database

    2-s2.0-85081569299