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      A global assessment of invasive plant impacts on resident species, communities and ecosystems: the interaction of impact measures, invading species' traits and environment

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          Abstract

          With the growing body of literature assessing the impact of invasive alien plants on resident species and ecosystems, a comprehensive assessment of the relationship between invasive species traits and environmental settings of invasion on the characteristics of impacts is needed. Based on 287 publications with 1551 individual cases that addressed the impact of 167 invasive plant species belonging to 49 families, we present the first global overview of frequencies of significant and non-significant ecological impacts and their directions on 15 outcomes related to the responses of resident populations, species, communities and ecosystems. Species and community outcomes tend to decline following invasions, especially those for plants, but the abundance and richness of the soil biota, as well as concentrations of soil nutrients and water, more often increase than decrease following invasion. Data mining tools revealed that invasive plants exert consistent significant impacts on some outcomes (survival of resident biota, activity of resident animals, resident community productivity, mineral and nutrient content in plant tissues, and fire frequency and intensity), whereas for outcomes at the community level, such as species richness, diversity and soil resources, the significance of impacts is determined by interactions between species traits and the biome invaded. The latter outcomes are most likely to be impacted by annual grasses, and by wind pollinated trees invading mediterranean or tropical biomes. One of the clearest signals in this analysis is that invasive plants are far more likely to cause significant impacts on resident plant and animal richness on islands rather than mainland. This study shows that there is no universal measure of impact and the pattern observed depends on the ecological measure examined. Although impact is strongly context dependent, some species traits, especially life form, stature and pollination syndrome, may provide a means to predict impact, regardless of the particular habitat and geographical region invaded.

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          Most cited references86

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          Effects of Exotic Plant Invasions on Soil Nutrient Cycling Processes

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            Ecosystem Consequences of Biological Invasions

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              Random forests for classification in ecology.

              Classification procedures are some of the most widely used statistical methods in ecology. Random forests (RF) is a new and powerful statistical classifier that is well established in other disciplines but is relatively unknown in ecology. Advantages of RF compared to other statistical classifiers include (1) very high classification accuracy; (2) a novel method of determining variable importance; (3) ability to model complex interactions among predictor variables; (4) flexibility to perform several types of statistical data analysis, including regression, classification, survival analysis, and unsupervised learning; and (5) an algorithm for imputing missing values. We compared the accuracies of RF and four other commonly used statistical classifiers using data on invasive plant species presence in Lava Beds National Monument, California, USA, rare lichen species presence in the Pacific Northwest, USA, and nest sites for cavity nesting birds in the Uinta Mountains, Utah, USA. We observed high classification accuracy in all applications as measured by cross-validation and, in the case of the lichen data, by independent test data, when comparing RF to other common classification methods. We also observed that the variables that RF identified as most important for classifying invasive plant species coincided with expectations based on the literature.
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                Author and article information

                Journal
                Glob Chang Biol
                Glob Chang Biol
                gcb
                Global Change Biology
                Blackwell Publishing Ltd (Oxford, UK )
                1354-1013
                1365-2486
                May 2012
                : 18
                : 5
                : 1725-1737
                Affiliations
                [* ]Institute of Botany, Department of Invasion Ecology, Academy of Sciences of the Czech Republic CZ-252 43, Průhonice, Czech Republic
                []Department of Ecology, Faculty of Science, Charles University Prague Viničná 7, CZ-128 44, Prague, Czech Republic
                []The Bio-Protection Research Centre, Lincoln University PO Box 84, Canterbury, New Zealand
                [§ ]Institute of Ecology and Evolution, University of Bern CH-3012, Bern, Switzerland
                []CABI Europe-Switzerland, 1 Rue des Grillons CH-2800, Delémont, Switzerland
                [| ]Estación Biológica de Doñana (EBD-CSIC), Avda. Américo Vespucio s/n Isla de la Cartuja, E-41092, Sevilla, Spain
                Author notes
                Correspondence: Petr Pyšek, tel. + 420 271 015 266, fax + 420 271 015 105, e-mail: pysek@ 123456ibot.cas.cz

                Re-use of this article is permitted in accordance with the Terms and Conditions set out at http://wileyonlinelibrary.com/onlineopen#OnlineOpen_Terms

                Article
                10.1111/j.1365-2486.2011.02636.x
                3597245
                af0ac442-08e9-4976-a54d-67f2b5526825
                Copyright © 2012 Blackwell Publishing Ltd

                Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.

                History
                : 22 August 2011
                : 10 November 2011
                : 30 December 2011
                Categories
                Primary Research Articles

                biome,invasive plants,islands,prediction,resident biota,soil resources,species diversity,species traits

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