riskDynamics: Calculates forest risk parameters over a growth series using...
In pzylstra/frame_r: Fire Research and Modelling Environment

riskDynamics

R Documentation

Calculates forest risk parameters over a growth series using parallel ports

Description

Calculates forest risk parameters over a growth series using parallel ports

Usage

riskDynamics(
  fireDat,
  tr,
  clim,
  lightning = 0.05,
  fires = 5,
  lat = -42.48,
  Altitude = 200,
  slopeM = 6.7,
  slopeSD = 4.9,
  slopeLength = 391,
  rangeDir = 270,
  mRiver = 0.38,
  lRiver = 0.06,
  cardinal = TRUE,
  smoulder = 24,
  Extinction = 0.15,
  m = 0.15,
  rholitter = 550,
  hourStep = 3,
  l = 0.1,
  Ms = 0.01,
  Pm = 1,
  Mr = 1.5,
  Test = 80,
  sensitive = 1,
  girdleH = c(),
  phloem = 0.01,
  moisture = 0.6,
  barkDensity = 300,
  bark = 0.04,
  comBark = 700,
  resBark = 0,
  bMoisture = 0.5,
  vAir500 = 2,
  testN = 5,
  distance = 2,
  trail = 1000,
  var = 10,
  necT = 60,
  surfDecl = 10,
  minR = 0.001,
  freeCores = 1
)

Arguments

`fireDat`	List of three dataframes: Flora, Structure & default.species.params
`tr`
`clim`	Formatted AM & PM weather conditions over a time sequence
`lightning`	Number of lightning strikes per km2
`fires`	Number of fires to model per age
`lat`	Latitude (degrees)
`Altitude`	Altitude (m.a.s.l.)
`slopeM`	Mean slope (degrees)
`slopeSD`	Standard deviation of slope (degrees)
`slopeLength`	Distance from ridge to gully (m)
`rangeDir`
`mRiver`
`lRiver`
`cardinal`
`smoulder`
`Extinction`
`m`
`rholitter`
`hourStep`
`l`
`Ms`
`Pm`
`Mr`
`Test`
`sensitive`
`girdleH`
`phloem`
`moisture`
`barkDensity`
`bark`
`comBark`
`resBark`
`bMoisture`
`vAir500`
`testN`
`distance`
`trail`
`var`
`necT`
`surfDecl`
`minR`
`freeCores`
`woodDensity`
`targSp`