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handle: 10261/89839 , 10019.1/116829
AbstractAim Many Australian Acacia species have been widely planted around the world. Some taxa are among the most aggressive of invasive alien plants and cause severe ecosystem degradation. We aimed to predict invasiveness of taxa in a large set of Australian Acacia species on the basis of easy‐to‐assess predictors.Location Global.Methods We considered three groups of predictors: (1) climatic affinities of species in their native ranges; (2) life history traits; and (3) human usage factors. Logistic multiple regressions were applied to construct predictive models for 85 Australian acacias (species in Acacia subgenus Phyllodineae) that are known to have been transported outside of their native range (17 known to be invasive and 68 non‐invasive). The best model was then applied to predict the probability of an additional 34 Acacia species with unknown invasive status.Results Water availability in the native range and human uses were significant predictors of invasiveness in all models. Life history index (proportional to plant height, leaf area and seed mass) and climatic amplitude were also positive predictors of invasiveness when human use was not considered. The best model, based on human uses and water availability, correctly classified 92% of the species. Results suggest that Acacia species that evolved under low climatic stress have a greater chance of becoming invasive.Main conclusions Species that are useful to humans are more likely to be disseminated to and within new regions, thus increasing the risk of invasion. Combining ecological, evolutionary and human‐use criteria is useful for quantifying the risk of Australian acacias becoming invasive. Acacia species can attain invasive status by virtue of intrinsic traits and/or through increased use by humans. Therefore, we predict that the invasion risk of species coming from native areas with high water availability will rise sharply if the interest in exploiting these species increases.
580, climatic amplitude, Invasive species, 590, risk assessment, native range, predictive models, Climatic amplitude, invasive species, life-history traits, Predictive models, Life-history traits, Biological invasions, Native range, Risk assessment
580, climatic amplitude, Invasive species, 590, risk assessment, native range, predictive models, Climatic amplitude, invasive species, life-history traits, Predictive models, Life-history traits, Biological invasions, Native range, Risk assessment
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