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Table 2 Candidate simple models to explain the influence of instream and riparian habitat variables on fish IBI and benthic IBI scores at 22 sites on the South Fork Whitewater River, Minnesota, USA based on Akaike’s Information Criterion (AICc)

From: Aquatic community structure and stream habitat in a karst agricultural landscape

Models

K

AICc

∆AICc

wi

r2

Fish IBI

     

 % fish cover ( +), buffer width ( +), % bank forbs ( +), % bank rocks ( +)

6

179.152

0.000

0.438

0.876

 % fish cover ( +), buffer width ( +), % bank rocks ( +)

5

179.437

 

0.285

0.380 (1.15 X)

 % fish cover ( +), buffer width ( +), % bank forbs ( +), % bank rocks ( +), % pool ( +)

7

181.757

2.605

0.119 (3.68 X)

 

Benthic IBI

     

 % bank grass (−), % fish cover (−), % pool (−), % run (−)

6

157.369

0.000

0.335

0.604

 % bank grass (−), % fish cover (−)

4

158.457

1.088

0.194 (1.73 X)

 

 % bank grass (−)

3

158.620

1.251

0.179 (1.87 X)

 

 % bank grass (−), % fish cover (−), % pool (−)

5

159.137

1.768

0.138 (2.43 X)

 

 % bank grass (−), % fish cover (−), % pool (−), % run (−), mean current velocity ( +)

7

159.247

1.878

0.131 (2.56 X)

 
  1. ∆AICc is the change in AICc between subsequent models, K is the number of parameters, and wi is Akaike weight. Only models with wi > 10% of the value of the best model are presented. Symbols in parentheses after variables indicate the direction of the correlation between response and explanatory variables. The comparative explanatory power of the best model (relative to each model) is shown in parentheses after wi values. The overall fit (r2) of the best model is shown