Ecological Archives A025-044-A2

Neal E. Flanagan, Curtis J. Richardson, and Mengchi Ho. 2015. Connecting differential responses of native and invasive riparian plants to climate change and environmental alteration. Ecological Applications 25:753767. http://dx.doi.org/10.1890/14-0767.1

Appendix B. Tables and a figure showing (1) summary statistics for the partial redundancy analysis, (2) results from the ANOSIM test, and (3) regression results.

Table B1. Summary statistics for the first four axes of the partial redundancy analysis (RDA) of plant community and environmental variables with Hellinger transformed plant species data and partialling out of spatial trends. The environmental variables were selected in a stepwise forward selection produced from a global partial RDA model conditioned for spatial variables. POWER: rate of flood rise, SGDD: soil growing degree days, Ag: cultivated proportion of watershed, FREQ: flood frequency, AREA: watershed area, DUR: mean flood duration, Sand: soil texture sand (%), CTP: soil total phosphorus (See Table 1).

 

Axes

 

1

2

3

4

Eigenvalue

 

 

 

 

Species−Environment and Space Correlation

1.8166

1.6563

1.0480

0.9000

Cumulative proportion of variance

 

 

 

 

Species data

0.1628

0.3113

0.401

0.464

Species–Environment relation

0.2462

0.4708

0.6128

0.7448

Weighted correlation with Species axis

 

 

 

 

POWER

0.4939

-0.5322

-0.2339

0.0931

SGDD

-0.4136

-0.2545

-0.4017

0.0896

Ag

-0.0987

0.0281

-0.4795

0.0549

FREQ

-0.3812

-0.1691

0.3225

0.6345

AREA

-0.2108

-0.1091

0.1178

0.0566

DUR

0.3081

0.6503

0.4172

0.1158

Sand

0.0019

-0.5859

0.1662

0.0109

CTP

-0.1790

0.6129

0.0397

-0.3131


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