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Table 7 Summary of the PLS regression models

From: Variables related to nitrogen deposition improve defoliation models for European forests

Variables

No. of models

Species

  

Beech

Norway spruce

Scots pine

Latitude

6

+

− − − −

− − − −

Longitude

6

  

-

Altitude

6

   

Tree density

6

− − −

− − −

+ + −

Pr

6

+

+

 

Summer Pr

6

  

+ + + + +

BADoAP

2

+ +

++

 

Throughfall N deposition

2

+ +

+ +

− −

Foliar N/P

1

 

+

+

Foliar N/Ca

1

+

+

 

Foliar N/Mg

1

 

+

+

Foliar N/K

1

+

+

 

Soil PH (CaCl2)

1

–

 

–

Soil C/N

1

+

–

−

Soil BCE

1

−

+

 
  1. The sign of symbols identify the estimated effect on defoliation (i.e. the sign of the regression coefficient); the number of symbols is equal to the number of models for which the variable obtained a VIP > 1
  2. Pr precipitation, BADoAP biotic or abiotic damage from known causes other than air pollution, no. of models number of PLS-regression models per species including the variable
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Annals of Forest Science

ISSN: 1297-966X