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))

[Package forestGYM version 1.0.0 Index]