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New robust weighted averaging- and model-based methods for assessing trait-environment relationships: R-code

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DataCite Commons2025-05-01 更新2024-07-27 收录
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https://figshare.com/articles/New_robust_weighted_averaging-_and_model-based_methods_for_assessing_trait-environment_relationships_R-code/7484480/7
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This is the R-code belonging to the paper <br>New robust weighted averaging- and model-based methods for assessing trait-environment relationships. <br>It contains two new methods, a new weighted averaging method and a new model-based method: 1. The new weighted averaging method combines site-level CWM with a species-level regression of Species Niche Centroids (SNC) on to the trait. The regressions are weighted by Hill's effective number (<i>N</i><sub>2</sub>) of occurrences of each species and the <i>N</i><sub>2</sub>-diversity of a site, and are subsequently combined in a sequential test procedure known as the max-test.2. Using the test statistics of these new methods, the permutation-based max test provides strong statistical evidence for trait-environment association in a plant community dataset, where existing methods show (very) weak evidence. The powers of the two new methods were similar in a simulation study based on this dataset.<br>
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figshare
创建时间:
2019-01-02
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