clutter_simopt {forestGYM} | R Documentation |
Stand growth prediction of Clutter model based on optimal logging.
Description
Through the enumeration method, achieve the optimal volume growth based on independent simulated logging.
Usage
clutter_simopt(b0,b1,b2,b3,a0,a1,
B1,SI,t1,growth_years,
times,smallest_interval,
thinning_intensity)
Arguments
b0 |
Regression coefficients of Clutter model. |
b1 |
Regression coefficients of Clutter model. |
b2 |
Regression coefficients of Clutter model. |
b3 |
Regression coefficients of Clutter model. |
a0 |
Regression coefficients of Clutter model. |
a1 |
Regression coefficients of Clutter model. |
SI |
Site index |
t1 |
Initial stand age,the unit is year. |
B1 |
Basal area in t1, the unit is m2/ha. |
growth_years |
The final logging period is the main cutting period of the stand,the unit is year. |
times |
Logging times. |
smallest_interval |
Smallest interval among Logging times (times). |
thinning_intensity |
Range of logging intensities,the value is betwee 0 and 1. |
Details
Through the enumeration method, achieve the optimal volume growth based on independent simulated logging.
Value
The returned data format is a list, data summary for the optimal volume growth based on independent simulated logging.
Author(s)
Zongzheng Chai, chaizz@126.com
References
Clutter, J. L. (1963) Compatible Growth For Loblolly by the Southeastern, Forest Science, 9(3), pp. 354–371. Sullivan, A. D. and Clutter, J. L. (1972) A Simultaneous Growth and Yield for Loblolly Pine, Forest Science, 18(1), pp. 76–86.
Examples
clutter_simopt(b0=2.0137,b1=0.0795,b2=-16.9509,b3=0.7924,
a0=1.1656,a1=0.1376,
B1=3.1,SI=12,t1=10,
growth_years=30,
times=2,smallest_interval=5,
thinning_intensity=seq(0.1,0.3,0.1))