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Article title
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Abstract
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Keywords
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Introduction
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Methods
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Alien species richness data
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Predictor variables
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Modelling techniques used for predicting species richness
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Generalised linear models using Poisson and negative binomial distributions
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Multivariate adaptive regression splines
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Random forests
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Boosted regression trees
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Assessment of predictive performance
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Spatial autocorrelation
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Results
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Predictive performance of alien species richness using leave-one-out cross-validation
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Predictive performance of alien species richness using regional cross-validation
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Discussion
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Conclusions
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Acknowledgements
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References
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Supplementary material
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