(PDF) Figure 4: 3D Representation of the (A) Vegetation

Figure 4: 3D Representation of the (A) Vegetation Plots and (B) Geo-Climatic Variables Along the Three First Principal Components of the Principal Component Analysis (Cumulative Variance Explained 76.9%) Conducted on the Páramo Vegetation Dataset.

doi 10.7717/peerj.4786/fig-4

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Figure 1: Principal Components (90 Observations, 20 Variables): First Three Principal Components Explains 54.3% of Total Variance.

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Figure 4: Ordination by NMDS Analysis of the Samples Sites Over the Studied Altitudinal Gradient Considering (A) Variables of Vegetation Structure, (B) Soil Variables, and (C) Climatic Variables.

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Table S2: Environmental Variables and Loadings on the First Two Principal Components (PC1 and PC2) Based on a Principal Component Analysis. Bold Text Indicates the Variables Used as Input for Maxent Modelling

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Figure 4: Principal Component Analysis of Metabolome Data.

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Figure 4: Sample Scores (46 Vegetation Plots) of the First Two Axes of the Basic-Rlq.

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Figure 5: Principal Coordinates Analysis Plots.

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Supplemental Information 2: Summary of Principal Components as Shown by the Principal Component Analysis.

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Figure S4: Contribution of Spot Trait Variables to Principal Components Analysis First and Second Dimensions

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Figure 2: Principal Component Analysis of the Main Sample.

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Amanote Research

Figure 4: 3D Representation of the (A) Vegetation Plots and (B) Geo-Climatic Variables Along the Three First Principal Components of the Principal Component Analysis (Cumulative Variance Explained 76.9%) Conducted on the Páramo Vegetation Dataset.

doi 10.7717/peerj.4786/fig-4

Full Text

Abstract

Date

Authors

Publisher

Related search

Figure 1: Principal Components (90 Observations, 20 Variables): First Three Principal Components Explains 54.3% of Total Variance.

Figure 4: Ordination by NMDS Analysis of the Samples Sites Over the Studied Altitudinal Gradient Considering (A) Variables of Vegetation Structure, (B) Soil Variables, and (C) Climatic Variables.

Table S2: Environmental Variables and Loadings on the First Two Principal Components (PC1 and PC2) Based on a Principal Component Analysis. Bold Text Indicates the Variables Used as Input for Maxent Modelling

Figure 4: Principal Component Analysis of Metabolome Data.

Figure 4: Sample Scores (46 Vegetation Plots) of the First Two Axes of the Basic-Rlq.

Figure 5: Principal Coordinates Analysis Plots.

Supplemental Information 2: Summary of Principal Components as Shown by the Principal Component Analysis.

Figure S4: Contribution of Spot Trait Variables to Principal Components Analysis First and Second Dimensions

Figure 2: Principal Component Analysis of the Main Sample.