volume.sitree: Volume for sitree output for Norwegian conditions
In sitreeE: Sitree Extensions

Description Usage Arguments Details Value Author(s) Examples

It calculates volume following the Norwegian national forest inventory equations for a trList or trListDead object

1	volume.sitree(tr, plot.data)

`tr`	a trListDead or trList object
`plot.data`	a list or data.frame containing at least a 'kom' and 'tree2ha' column/element. kom is the kommune (municipality) code, and tree2ha should be the expansion factor to go from tree to per ha basis.

It uses the volume.norway function to estimate the volume for all trees with dbh.mm greater than 0. It returns NA when dbh.mm is 0 or lower. tree2ha is included to facilitate the calculation of per ha values.

It returns a data.table with columns for treeid, plot.id, dbh.mm, height.dm, kom, tree2ha, tree.sp, vol.w.tr.m3 (volume with bark in m3 per tree), and vol.wo.tr.m3 (volume without bark in m3 per tree)

Clara Antón-Fernández (email: caf@nibio.no)

library(sitree)
res <- sitree (tree.df   = tr,
               stand.df  = fl,
               functions = list(
                 fn.growth     = 'grow.dbhinc.hgtinc',
                 fn.mort       = 'mort.B2007',
                 fn.recr       = 'recr.BBG2008',
                 fn.management = 'management.prob',
                 fn.tree.removal = 'mng.tree.removal',
                 fn.modif      = NULL, 
                 fn.prep.common.vars = 'prep.common.vars.fun'
               ),
               n.periods = 5,
               period.length = 5,
               mng.options = NA,
               print.comments = FALSE,
               fn.dbh.inc = "dbhi.BN2009",
               fn.hgt.inc =  "height.korf", 
               species.spruce = c(1, 2, 3),
               species.pine = c(10, 11, 20, 21, 29),
               species.harw = c(30, 31),
               fun.final.felling = "harv.prob",
               fun.thinning      = "thin.prob",
                  per.vol.harv = 0.83
               )
volume.sitree(tr = res$live, plot.data = res$plot.data)