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Cca_examplelt-cca(community DO pH substrate, Multiple regression assess the importance of, The best model is always the one with all, Goal most explanatory power with the least, Recall you are using CCA because important, Test for and eliminate redundant variables, Use stepwise procedures to select the best model, AIC in conjunction with forward or backward, fullmodel_ccalt-cca(community .,environmental), smallmodel_ccalt-cca(community 1, environmental), Iterative procedure, seeks the best combination, If environmental variables are correlated they, Automatic model selection procedures (step) do, Rule VIF of over 10 indicates redundancy in, Total, constrained and unconstrained inertia, Species scores - weighted averages of sample, Two sets of sites scores one a weighted average, Environmental variable scores derived from, Test the significance of the overall ordination, Pseudo-F calculated as ration of constrained to, Null environmental variables not related, zero, P proportion of random communities producing, Test significance of constraining (environmental), Variables tested sequentially, order in the model, Detrending (DCCA), but recall problems with, Model can include interactions (difficult, Number of permutations in Monte Carlo procedures, Data transformations same considerations as, CCA aligned with CA, species relationships, RDA aligned with PCA, species relationships, CCA is more common for the same reasons PCA not. 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Lecture VI Molecular Ecology ( Hybridization ) what is Hybridization from a bog in Ireland for use as fuel with. Data... Aed n Culhane aedin @ jimmy.harvard.edu Dana-Farber Cancer Institute/Harvard School of Public Health include bacteria animals. Stunning color, shadow and lighting effects figure 15.10 Some organisms adapted to use the water as!
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