Nothopack: G&Y Forest Simulator for Roble-Rauli-Coigue Stands in Chile

Description Usage Arguments Value Author(s) References Examples

It adds a 1 assigned to the species proportional to their number of trees. These are then assigned to the first diameter class and reported to be added. In the future it should estimate the 'space' for new trees (high competition, low number of new trees). The procedure generates a new diameter distribution and then add trees to small classes. NOTE 1: This model is not fully implemented nor incorporated into the simulator. NOTE 2: Adjustment of VTHA is not included here.

1	recruit_module(sp.table = NA, HD = NA, DOM.SP = NA, ZONE = NA)

`sp.table`	table with stand-level information by specie and total, columns are SPECIES, N, BA, QD, and table is grouped by SPECIES (1:Rauli, 2:Roble, 3:Coigue, 4:Other, 0:Total).
`HD`	Dominant height (m) of dominant specie in the current stand
`DOM.SP`	Dominant specie (1: Rauli, 2: Roble, 3: Coigue)
`ZONE`	Growth zone (1, 2, 3, 4)

A list with: Dd (data frame with updated diameter distribution including recruits (N and BA are updated); Rec.SP (vector or random proportional assignation of recruits to each specie; and sp.table (data frame with updated sp.table including recuits.

S. Palmas, S.A. Gezan and P. Moreno

Gezan, S.A. and Ortega, A. (2001). Desarrollo de un Simulador de Rendimiento para Renovales de Roble, Rauli y Coigue. Reporte Interno. Projecto FONDEF D97I1065. Chile

# Example: Evaluating a new recruitment
BA <- c(36.5, 2.8, 1.6, 2.4)
N <- c(464, 23, 16, 48)
input <- input_module(ZONE=1, AD=28, HD=18.5, N=N, BA=BA, type='stand')
Dd <- diam_dist(sp.table=input$sp.table, HD=input$HD, DOM.SP=input$DOM.SP, ZONE=input$ZONE)
Dd.R <- recruit_module(sp.table=input$sp.table, HD=input$HD, DOM.SP=input$DOM.SP,
                       ZONE=input$ZONE)
Dd.R$Rec.SP
input$sp.table
Dd.R$sp.table
head(Dd[1,,])
head(Dd.R$Dd[1,,])