swpcarbontotal: Calculate total carbon in solidwood products.
In benjones2/WOODCARB3R: WOODCARB3R

Description Usage Arguments Details Value Examples

Calculates total carbon and carbon by end use in solidwood products. Capable of calculating carbon totals with different approaches, halflives, and decay distributions.

swpcarbontotal(Yrs = 1990:2015, decaydistribution = c("Exponential", "K=2",
  "K=10"), onlytotal = TRUE, lumberpre = TRUE, approach = c("Production",
  "Stock Change"), halflives = halfLives, fsp = fracstrpanels,
  fnsp = fracnonstrpanels, fsawn = fracsawnwood, swpdata)

`Yrs`	years to calculate totals for.
`decaydistribution`	type of decay distribution.
`onlytotal`	if false, total carbon is returned for each one of the 13 end uses. if true, one total is summed and returned
`lumberpre`	if false, carbon from lumber before 1900 is excluded from totals
`approach`	approach type to use to calculate. If onlytotal is false then the data returned won't correspond to data in WOODCARB II If onlytotal is true: For production approach, the data returned corresponds to the 'SWCalcP$H4389' column in WOODCARB II. For stock change approach, the data returned corresponds to the 'SWCalc$H4389' column in WOODCARB II.
`halflives`	data frame of half lives for end uses. Default half lives are used but a data frame with 13 columns with half lives for the appropriate years can be used.
`fsp`	Fraction of structural panel products that go to each end use. Default can be substituted with data with a column for each end use and row for years from 1900 to latest year of interest.
`fnsp`	Fraction of non-structural panel products that go to each end use. Default can be substituted with data with a column for each end use and row for years from 1900 to latest year of interest.
`fsawn`	Fraction of sawnwood products that go to each end use. Default can be substituted with data with a column for each end use and row for years from 1900 to latest year of interest.
`swpdata`	Optional argument to provide swp production and trade time series for purposes of error analysis