Table 3 — Coefficients for regression equations to predict A and Sas functions of surface temperature for use in the 

 Gibbs free energy equation, In(AG) = >4 + B(MC^. /!» = C, + C^^^W?) + CjJ^UP^), B=C^ + Cj(TEMP) + 

 Cj(TEMP^), FF = coefficient of variation squared, No. = number of observations 



Species 





Douglas-fir 



Ponderosa pine 



Quaking aspen 



Cheatgrass 







Recently Cast- 



—Adsorption 





^1 



—9.309 



26.300 



52.639 



1 H 



c 



.08784 



-.15758 



-.35223 



.01554 



c. 



3 



-.0001373 



.0002883 



.0006445 







.98 



.98 



.99 



.94 



No. 



34 



34 



34 



24 



0, 



-295.915 



-1,081.460 



-1,709.360 



-972.061 





1.98014 



7.43318 



11.90591 



6.84375 





-.0035232 



-.0129658 



-.0208685 



-.0122398 





.99 



.98 



.99 



.99 



No. 



34 



34 



34 



24 







Recently Cast- 



— Desorptlon 







64.898 



51.842 



95 503 



81 .765 



c 



-.39084 



-.30298 



-.62584 



-.52473 



C3 



.0006348 



.0004933 



.0010847 



.0008991 





.99 



.99 



.97 



.93 



No. 



34 



34 



34 



24 





^09.989 



-1,000.250 



-1,741.360 



-1,471.690 



^^5 



2.87550 



6.75430 



1 2.08836 



10.26116 



^6 



-.0052246 



-.0116198 



-.0211430 



-.0180860 





,99 



.99 



.99 



.99 



No. 



34 



34 



34 



24 







Weathered — 



Adsorption 





^1 



-.154 



43.563 



70.514 



1 .566 



^2 



.01809 



-.28016 



-.46990 



.01216 



C3 





.0005069 



.0008397 







.90 



.97 



.99 



.99 



No. 



24 



24 



24 



14 





-780.621 



-1,234.710 



-1,742.930 



-1,733.460 





5.47058 



8.57029 



12.12182 



12.00537 





-.0097980 



-.0150654 



-.0212174 



-.020971 1 





.99 



.99 



.99 



.99 



No. 



24 



24 



24 



14 







Weathered— 



Desorptlon 







82.609 



52.480 



141.973 



1.219 



c 



-.52508 



-.32254 



-.93345 



.01497 





.0008912 



.0005528 



.0015943 







.96 



.91 



.98 



.88 



No. 



24 



24 



24 



14 





-1,389.800 



-1,193.320 



-2.281.030 



-2,611.640 





9.54490 



8.19501 



15.63398 



18.08085 





-.0165845 



-.0142747 



-.0269426 



-.0314763 





.99 



.99 



.99 



.99 



No. 



24 



24 



24 



14 



8 



