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Indirect gradient analysis - Alaska Geobotany Center

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Relating the ordination to environmental factors:<br />

(3) Correlation of axes x,y coordinates with with environmental data<br />

Kendall s Tau Correlation Coefficients from Anja<br />

Kade s study<br />

Variable<br />

Thaw depth<br />

Soil moisture<br />

Soil pH<br />

Depth of O horizon<br />

Cover of bare soil<br />

Vegetation height<br />

Axis 1<br />

0.39<br />

-0.28<br />

0.53<br />

0.32<br />

0.48<br />

-0.43<br />

Axis 2<br />

-0.47<br />

0.39<br />

-0.36<br />

0.59<br />

-0.33<br />

0.50<br />

• Scores on Axis 1<br />

and Axis 2 were<br />

correlated with<br />

each environmental<br />

variable. This table<br />

shows the highest<br />

correlations for<br />

each axis.<br />

• The highest scores<br />

on the Axis 1<br />

appear to be<br />

related most<br />

strongly to climate<br />

and pH.<br />

Shrub cover<br />

Factors related to<br />

Bioclimate/pH <strong>gradient</strong><br />

-0.63<br />

Factors related to<br />

Disturbance <strong>gradient</strong><br />

0.46<br />

• Scores on Axis 2<br />

are most strongly<br />

related to<br />

cryoturbation and<br />

disturbance.

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