#' Modelling of stock basic carrying capacity by crown equations
#'
#' This function models stock carrying capacity. Use m1 for model 1, m2 for model 2
#' @param luc Land use capability index. Integer, values 1-8
#' @param elev Elevation in metres above sea level
#' @param soilt Optional. Mean annual soil temperature in degrees C
#' @param aspect180 Value in degrees from 0 to 180. North is 0, south is 180. East or west are 90. Flat areas with a slope less than 7degrees have aspect 180 =0
#' @param vpdjan Optional. Mean vapour pressure deficit in January
#' @param meant Mean annual air temperature
#' @param precip Total annual precipitation
#' @param solar Optional. Total solar radiation in W per m2
#' @param vpdann Optional. Annual mean vapour pressure deficit
#' @param slope Slope in degrees.
#' @param latitude Latitude from WGS as a raster
#' @return Raster indicating modelled potential basic carrying capacity
#' @export
nzes.carrying.m2 <- function(luc, slope, solar = NA, vpdann = NA, vpdjan = NA, meant, precip, latitude){
# Empirical corrections where data are missing
if(is.na(vpdann)){
vpdann <- 13.484359 + (precip * -0.001526) +
(meant * 3.616275) + (meant * precip * -0.000353)
}
if(is.na(vpdjan)){
vpdjan <- 29.352599 + (precip * -0.004510) +
(meant * 4.456375) + (meant * precip * -0.000388)
}
if(is.na(solar)){
solar <- 377.415320+
(precip * -0.037518) +
(meant * 1.400929) +
(latitude * 5.406675) +
(meant * precip * -0.000041) +
(latitude * precip * -0.000821) +
(meant * latitude * 0.033392)
}
# Lookup table for LUC
lt<-cbind(c(1:8),
c(0,0,0,-0.457559805, -0.027060915, -0.810075484, -1.49966985, -4.017955247))
luc2<- raster::reclassify(luc, lt)
# Equation
cc <- exp(-5.971040435 +
(slope * 0.017525954) +
luc2 +
(vpdjan * 0.046918408) +
(vpdann * -0.098763683) +
(solar * 0.043276909))
cc
}
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