FAwR (version 1.1.2)

vol.fvs.ni.m3: Predicts volume (m^3) from diameter (cm) and height (m) by species, using functions from Wykoff et al. (1982).

Description

This vectorized function uses models and parameter estimates from Wykoff et al. (1982) to predict tree volumes given tree heights (m) and over-bark diameter measurements (cm) taken at 1.37 m (4'6''). The function vol.fvs.ni.bdft performs the computation in imperial units, and vol.fvs.ni.m3 is a wrapper for convenience.

Usage

vol.fvs.ni.m3(spp, dbh.cm, ht.m)
vol.fvs.ni.bdft(spp, dbh.in, ht.ft)

Arguments

spp

Tree species. Must be one of: WP, WL, DF, GF, WH, WC, LP, ES, SF, PP, MH

dbh.cm

Tree diameter, cm, measured at 1.37 m. from the ground.

dbh.in

Tree diameter, in., measured at 1.37 m. from the ground.

ht.m

Tree height, m.

ht.ft

Tree height, ft.

Value

The function returns a vector of tree volumes, in cubic metres.

Details

The species are: WP = white pine, WL = western larch, DF = Douglas-fir, GF = grand fir, WH = western hemlock, WC = western red cedar, LP = lodgepole pine, ES = Engelmann spruce, SF = subalpine fir, PP = ponderosa pine, and MH = mountain hemlock.

References

Robinson, A.P., and J.D. Hamann. 2010. Forest Analytics with R: an Introduction. Springer.

Wykoff, W. R., Crookston, N. L., Stage, A. R., 1982. User's Guide to the Stand Prognosis Model. GTR-INT 133, USDA Forest Service, Ogden, UT.

Examples

# NOT RUN {
vol.fvs.ni.m3(c("DF, WH"), c(25, 27), c(15, 20))

# }