clutter_simulation {forestGYM}R Documentation

Stand growth prediction of Clutter model integrating simulated logging.

Description

At the determined final harvest period, through the setting of different logging periods and the determination of logging intensities for different cutting periods, the Clutter model is used to realize stand growth prediction.

Usage

clutter_simulation(b0,b1,b2,b3,a0,a1,
                   B1,SI,t1,growth_years,
                   thinning_years,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.

thinning_years

Different logging periods,the value is between t1 and growth_years,the unit is year.

thinning_intensity

Logging intensities corresponding to the thinning_years,the value is betwee 0 and 1.

Details

Both growth_years and thinning_years should be integers, the value of thinning_years is between t1 and growth_years,the unit is year.

Value

The returned data format is a list, representing the changes in stand basal area and volume growth in different logging periods.

Author(s)

Zongzheng Chai, chaizz@126.com

Examples

clutter_simulation(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,
                   thinning_years=c(15,25),thinning_intensity=c(0.1,0.5))

[Package forestGYM version 1.0.0 Index]