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#### Sensitivity of Run 3 leaching | ||
#### Plot NPP vs. Nleaching at different timescales | ||
#### | ||
#### Assumptions: | ||
#### 1. Variable wood NC | ||
#### 2. baseline N cycle | ||
#### 3. Explicit mineral N pool | ||
################################################################################ | ||
#### Functions | ||
Sens_Run3 <- function() { | ||
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### Get | ||
r3 <- Perform_Analytical_Run3(f.flag = 2) | ||
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source("Parameters/Analytical_Run3_Parameters.R") | ||
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### split the data.list into two data frames | ||
cdf <- r3$cDF | ||
edf <- r3$eDF | ||
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### extract CO2 conc. from constraint DF | ||
cdf1 <- cdf[cdf$CO2 == 400, ] | ||
cdf2 <- cdf[cdf$CO2 == 800, ] | ||
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### extract CO2 conc. from eq DF | ||
edf1 <- edf[edf$CO2 == 400, ] | ||
edf2 <- edf[edf$CO2 == 800, ] | ||
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### Create a plot df | ||
plotDF <- data.frame(c("VL_400", "M", "L", "VL_800"), NA, NA) | ||
colnames(plotDF) <- c("Timeframe", "NPP", "Nleach") | ||
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### Add VL leaching rate | ||
plotDF$NPP[plotDF$Timeframe=="VL_400"] <- edf1$NPP_VL | ||
plotDF$NPP[plotDF$Timeframe=="VL_800"] <- edf2$NPP_VL | ||
plotDF$Nleach[plotDF$Timeframe=="VL_400"] <- Nin | ||
plotDF$Nleach[plotDF$Timeframe=="VL_800"] <- Nin | ||
plotDF$NPP[plotDF$Timeframe=="L"] <- edf2$NPP_L | ||
plotDF$NPP[plotDF$Timeframe=="M"] <- edf2$NPP_M | ||
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### work out nleaching L | ||
nfseq <- round(seq(0.001, 0.1, by = 0.001),5) | ||
a_nf <- as.data.frame(alloc(nfseq)) | ||
P350 <- photo_constraint_full(nf=nfseq, nfdf=a_nf, CO2=CO2_1) | ||
VL <- VL_constraint_expl_min(df=nfseq, a=a_nf) | ||
VL_eq <- solve_VL_full_expl_min(CO2=CO2_1) | ||
a_eq <- alloc(VL_eq$nf) | ||
s_coef <- soil_coef(df=VL_eq$nf, a=a_eq) | ||
omega_ap <- a_eq$af*s_coef$omega_af_pass + a_eq$ar*s_coef$omega_ar_pass | ||
omega_as <- a_eq$af*s_coef$omega_af_slow + a_eq$ar*s_coef$omega_ar_slow | ||
C_pass_VL <- omega_ap*VL_eq$NPP/s_coef$decomp_pass/(1-s_coef$qq_pass)*1000.0 | ||
L <- L_constraint_expl_min(df=nfseq, a=a_nf, | ||
C_pass=C_pass_VL, Nin_L = Nin) | ||
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test <- round(edf2$NPP_L, 1) | ||
loc1 <- 17 | ||
loc2 <- 18 | ||
mydf <- L[loc1:loc2, c("NPP", "nleach")] | ||
lm.model <- lm(mydf[,2]~mydf[,1]) | ||
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# calculate | ||
a <- as.numeric(coefficients(lm.model)[1]) | ||
b <- as.numeric(coefficients(lm.model)[2]) | ||
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eq_Nleach_L <- a+b*edf2$NPP_L | ||
plotDF$Nleach[plotDF$Timeframe=="L"] <- eq_Nleach_L | ||
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### obtain M line | ||
L_eq <- solve_L_full_expl_min(CO2=CO2_1, C_pass=C_pass_VL, | ||
Nin_L = Nin) | ||
C_slow_L <- omega_as*L_eq$NPP/s_coef$decomp_slow/(1-s_coef$qq_slow)*1000.0 | ||
N_wood_L <- a_eq$aw*a_eq$nw*VL_eq$NPP*1000.0 | ||
M <- M_constraint_expl_min(df=nfseq,a=a_nf, | ||
C_pass=C_pass_VL, | ||
C_slow=C_slow_L, | ||
Nin_L = Nin+N_wood_L) | ||
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test <- round(edf2$NPP_M, 1) | ||
loc1 <- 9 | ||
loc2 <- 10 | ||
mydf <- M[loc1:loc2, c("NPP", "nleach")] | ||
lm.model <- lm(mydf[,2]~mydf[,1]) | ||
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# calculate | ||
a <- as.numeric(coefficients(lm.model)[1]) | ||
b <- as.numeric(coefficients(lm.model)[2]) | ||
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eq_Nleach_M <- a+b*edf2$NPP_M | ||
plotDF$Nleach[plotDF$Timeframe=="M"] <- eq_Nleach_M | ||
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### Plotting | ||
cbPalette <- c("#999999", "#E69F00", "#56B4E9", "#009E73", "#F0E442", "#0072B2", "#D55E00", "#CC79A7") | ||
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p<-ggplot() + | ||
geom_bar(data=plotDF, aes(x=as.factor(NPP), y=Nleach, fill=Timeframe), | ||
stat="identity", position=position_dodge()) + | ||
theme_linedraw() + | ||
theme(panel.grid.minor=element_blank(), | ||
axis.text=element_text(size=14), | ||
axis.title=element_text(size=16), | ||
legend.text=element_text(size=14), | ||
legend.title=element_text(size=16), | ||
axis.text.x = element_text(angle = 90, hjust=1), | ||
panel.grid.major=element_line(color="grey")) + | ||
ylab(expression(paste("N leaching rate (kg N ", m^-2, " ", yr^-1, ")")))+ xlab("") + | ||
scale_fill_manual(name="Timescale", | ||
values = c("VL_400" = cbPalette[2], "M" = cbPalette[3], | ||
"L" = cbPalette[4], "VL_800" = cbPalette[7]), | ||
labels = c(expression(VL[400]), "M", "L", expression(VL[800]))) | ||
plot(p) | ||
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pdf("Plots/sensitivity_NPP_Nleach.pdf", width=10, height=6) | ||
plot(p) | ||
dev.off() | ||
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write.csv(plotDF, "Tables/sens_NPP_Nleach.csv") | ||
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} | ||
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