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Variance partitioning methods, which are built upon multivariate statistics,have been widely applied in different taxa and habitats in community ecology.Here, I performed a literature review on the development and application of themethods, and then discussed the limitation of available methods and thedifficulties involved in sampling schemes. The central goal of the work is thento propose some potential practical methods that might help to overcomedifferent issues of traditional least-square-based regression modeling. Avariety of regression models has been considered for comparison. In initialsimulations, I identified that generalized additive model (GAM) has the highestaccuracy to predict variation components. Therefore, I argued that otheradvanced regression techniques, including the GAM and related models, could beutilized in variation partitioning for better quantifying the aggregationscenarios of species distribution.

Distinguishing niche and neutral processes: issues in variation partitioning statistical methods and further perspectives