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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216208:11310/20:10421732

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Biological Invasions

ISSN

1387-3547

e-ISSN

—

Svazek periodika

22

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

20

Strana od-do

1801-1820

Kód UT WoS článku

000517736000002

EID výsledku v databázi Scopus

2-s2.0-85081569299