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Results from the hierarchical clustering analysis (k = 4) identifying the groups of general circulation models (GCMs) that have similar predictions for each variable at a global scale.

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Figshare2015-12-03 更新2026-04-29 收录
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Groups have been constructed using the correlation coefficients between layers. Models in the same group indicate that their predictions are highly correlated. This table may help researchers to select the GCMs for constructing their ecological niche models, to generate a more complete picture of the potential variability of the species ranges. Researchers should choose at least one model from each different group for each variable used for constructing their ecological niche models.Results from the hierarchical clustering analysis (k = 4) identifying the groups of general circulation models (GCMs) that have similar predictions for each variable at a global scale.
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2015-12-03
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