(PDF) Table 8: Results From the Distance-Based Linear

Table 8: Results From the Distance-Based Linear Modeling (DISTLM) of Geographic, Bathymetric, and Environmental Variables for Functional Traits of Near-Coral Communities Using the AICc Criteria and “Best” Model Selection.

doi 10.7717/peerj.5276/table-8

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Table 7: Results From the Distance-Based Linear Modeling (DISTLM) of Geographic, Bathymetric, and Environmental Variables for Near-Coral Communities Using the AICc Criteria and “Best” Model Selection.

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Figure 9: Distance-Based Redundancy Analysis of the Best Two-Variable Model From Distance-Based Linear Modeling of Sampling Locations Near Coral Habitats Where Sediment Geochemistry Data Were Available.

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Table 6: DistLM Analysis Results Showing Correlations Between Environmental Variables and Meiofaunal Community Attributes in the Bay of Plenty Region.

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Supplemental Information 8: DbRDA Plots Based on distLM With AIC Model Selection, Presenting the Influence of Environmental Factors (Biological Data).

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Table 1: The Best Five Models Based on AICc Relating the Presence of Each Taxon.

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Table 2: Summary of the Contribution of the Bioclimatic Variables Used in the MaxEnt Model and the Omission Rate, AICc, and AUC Values for the Model.

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Reduced Animal Model for Marker Assisted Selection Using Best Linear Unbiased Prediction

Genetics, Selection, Evolution

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Table S4: The Results From the Linear Mixed Effects Model for Peak Fecundity

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Table S7: The Results From the Linear Mixed Effects Model for Activity Data

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Amanote Research

Table 8: Results From the Distance-Based Linear Modeling (DISTLM) of Geographic, Bathymetric, and Environmental Variables for Functional Traits of Near-Coral Communities Using the AICc Criteria and “Best” Model Selection.

doi 10.7717/peerj.5276/table-8

Full Text

Abstract

Date

Authors

Publisher

Related search

Table 7: Results From the Distance-Based Linear Modeling (DISTLM) of Geographic, Bathymetric, and Environmental Variables for Near-Coral Communities Using the AICc Criteria and “Best” Model Selection.

Figure 9: Distance-Based Redundancy Analysis of the Best Two-Variable Model From Distance-Based Linear Modeling of Sampling Locations Near Coral Habitats Where Sediment Geochemistry Data Were Available.

Table 6: DistLM Analysis Results Showing Correlations Between Environmental Variables and Meiofaunal Community Attributes in the Bay of Plenty Region.

Supplemental Information 8: DbRDA Plots Based on distLM With AIC Model Selection, Presenting the Influence of Environmental Factors (Biological Data).

Table 1: The Best Five Models Based on AICc Relating the Presence of Each Taxon.

Table 2: Summary of the Contribution of the Bioclimatic Variables Used in the MaxEnt Model and the Omission Rate, AICc, and AUC Values for the Model.

Reduced Animal Model for Marker Assisted Selection Using Best Linear Unbiased Prediction

Table S4: The Results From the Linear Mixed Effects Model for Peak Fecundity

Table S7: The Results From the Linear Mixed Effects Model for Activity Data