2019
DOI: 10.1098/rspb.2018.2477
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Global predictors of alien plant establishment success: combining niche and trait proxies

Abstract: Biological invasions are on the rise globally. To reduce future invasions, it is imperative to determine the naturalization potential of species. Until now, screening approaches have relied largely on species-specific functional feature data. Such information is, however, time-consuming and expensive to collect, thwarting the screening of large numbers of potential invaders. We propose to resolve such data limitations by developing indicators of establishment success of alien species that can be readily derive… Show more

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Cited by 28 publications
(29 citation statements)
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“…An efficient invasion indicator has been developed using the two high risk IAPS (Australian acacias and eucalyptus), incorporating niche and trait proxies (Gallien et al, 2019). Such ecological indicators assess naturalization and establishment potential of the IAPS, thus, can analyse the imposed ecosystem impact.…”
Section: Ecological Indicator Perspectives Of the Iapsmentioning
confidence: 99%
“…An efficient invasion indicator has been developed using the two high risk IAPS (Australian acacias and eucalyptus), incorporating niche and trait proxies (Gallien et al, 2019). Such ecological indicators assess naturalization and establishment potential of the IAPS, thus, can analyse the imposed ecosystem impact.…”
Section: Ecological Indicator Perspectives Of the Iapsmentioning
confidence: 99%
“…We define high-impact species as those that cause mortality of their host plants at population or regional scales, disrupting ecological systems, and causing serious environmental or socioeconomic harm ( Figure 1). Although there have been advances in the ability to predict the establishment of non-native invaders (Gallien, Thornhill, Zurell, Miller, & Richardson, 2019), identifying predictors of impact once they have established has proven difficult (Kolar & Lodge, 2001).…”
Section: Introductionmentioning
confidence: 99%
“…While efforts to predict invasions are becoming more sophisticated (e.g., Essl et al 2019;Gallien et al 2019) and metrics exist for projecting how current indicators might change over time (Rouget et al 2016;Wilson et al 2018), scenarios for biological invasions will remain uncertain, particularly over longer time horizons. Most projections are implicitly or explicitly based on experience with invasions in the recent past.…”
Section: Discussionmentioning
confidence: 99%