Description Usage Arguments Value
View source: R/estimate_fuel_loads.R
Fine woody debris is measured as tallies by timelag classification along a transect. The timelag classifications are 1-hour (0 - 0.64cm diameter), 10-hour (0.64 - 2.54 cm diameter), and 100-hour (2.54 - 7.62 cm diameter). Van WAgtendonk et al. (1996) and Brown (1974) give equations to estimate the fuel load (weight / area) represented by these tallies. For more details, see the vignette or the README.
1 | estimate_fwd_load(dataset, timelag_class, k_value)
|
dataset |
A tidy data frame with a row for each observation, and columns for the observed fine woody debris counts and the observation- specific fuel coefficient. The observation-specific coefficient is given by get_fwd_coeffs(), and depends on the average quadratic mean diameter, secant of acute angle, and specific gravity of the various species present in the overstory. |
timelag_class |
A string, either 'x1h', 'x10h', or 'x100h'. Describes which columns to read and write. |
k_value |
Currentlly k_value must equalt 1.234. This is a unit-conversion constant to relate the units of the observation data (transect lengths, square centimeters of cross-sectional area per transect) to the desired results units (metric tons per hectare). Brown's equations allow for a variety of input and output unit types, with different k values to translate between them. However, this code currently requires that all input and output values be in metric - see import_fuels() for more details. |
A numeric vector giving the estimated fuel loading (in Mg / ha) of the fine woody fuel represented by the tallied amount on the transect.
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