#--------------------------------------------------------------------------------- #Allometrics MODEL #---------------------------------------------------------------------------------- par(mfrow=c(2,4)) jpeg("Figure 4.jpg", width=9, height=5, units="in", res=800) par(mfrow=c(2,4)) #---------------------------------------------------------- #Locality Paucho; P. rodolfo vasquezii; Logistic Model #---------------------------------------------------------- Paucho<- read.csv("DRPaucho.csv",";",header = T) attach(Paucho) head(Paucho) PAUCHO<- nls(TH~a/(1+b*exp(-c*DGL)),start= list(a=7.4662, b=6.6637,c=0.2006)) summary(PAUCHO) AIC(PAUCHO) a=7.400511 b=6.267885 c=0.21001 plot(TH~DGL, main="Paucho 4156 m", ylab="TH(m)", bg="gray58", xlab = substitute(paste(italic("P.rodolfo-vasquezii"))), cex.lab=1.5, cex.axis=1.2, cex.main=1.3, cex.sub=1.5,col="black",lwd="1.4",pch=21, xlim=c(0, 40),ylim=c(0, 10)) curve(a/(1+b*exp(-c*x)), add=T, col="black",lty=3, lwd="7",pch=21, bg="green") paucho<- lm(TH~DGL) summary(paucho) AIC(paucho) a=0.920203 b=0.295018 curve((a+b*x),add=T, col="gray46",lty=1,lwd="4",pch=21,bg="green",xlim=c(0,28)) #legend(x=15, y= 4,legend=c("0.72(299)", "0.70(303)"),col=c(1), bty = "n") #---------------------------------------------------------------- #Locality Quilcaycocha; P. rodolfo vasquezii; Logistic Model #---------------------------------------------------------------- Quilcaycocha<- read.csv("DRQuilcaycocha.csv",";",header = T) attach(Quilcaycocha) head(Quilcaycocha) Quilcaycocha<- nls(TH~a/(1+b*exp(-c*DGL)),start= list(a=5.1524, b=3.557,c=0.17)) summary(Quilcaycocha) AIC(Quilcaycocha) a=5.1524 b=3.557 c=0.171 plot(TH~DGL, main="Quilcaycocha 4350 m", ylab="", bg="gray58", xlab = substitute(paste(italic("P.rodolfo-vasquezii"))), cex.lab=1.5, cex.axis=1.2, cex.main=1.3, cex.sub=1.5,col="black",lwd="1.4",pch=21, xlim=c(0, 40),ylim=c(0, 8)) curve(a/(1+b*exp(-c*x)), add=T, col="black",lty=3, lwd="7",pch=21, bg="green") quilcaycocha<- lm(TH~DGL) summary(quilcaycocha) AIC(quilcaycocha) a=1.177907 b=0.172754 curve((a+b*x),add=T, col="gray46",lty=1,lwd="4",pch=21,bg="green",xlim=c(0,35)) #legend(x=12, y=2.8,legend=c("0.69(330)", "0.68(332)"),col=c(1), bty = "n") #---------------------------------------------------------------- #Locality Shaitura; P. flavipila; Logistic Model #---------------------------------------------------------------- Shaitura<- read.csv("DRShaitura.csv",";",header = T) attach(Shaitura) head(Shaitura) Shaitura<- nls(TH~a/(1+b*exp(-c*DGL)),start= list(a=9.755, b=5.381,c=0.1264)) summary(Shaitura) AIC(Shaitura) a=9.755 b=5.381 c=0.1264 plot(TH~DGL, main="Shaitura 4200 m", ylab="", bg="gray58", xlab = substitute(paste(italic("P. flavipila"))), cex.lab=1.5, cex.axis=1.2, cex.main=1.3, cex.sub=1.5,col="black",lwd="1.4",pch=21, xlim=c(0, 50),ylim=c(0, 12)) curve(a/(1+b*exp(-c*x)), add=T, col="black",lty=3, lwd="7",pch=21, bg="green") shaitura<- lm(TH~DGL) summary(shaitura) AIC(shaitura) a=1.45388 b=0.244 curve((a+b*x),add=T, col="gray46",lty=1,lwd="4",pch=21,bg="green",xlim=c(0,38)) #legend(x=14, y= 4.3,legend=c("0.52(492)", "0.51(490)"),col=c(1), bty = "n") #---------------------------------------------------------------- #Locality Chaqsii-Chaqsii; P. flavipila; Schumacher Model #---------------------------------------------------------------- Chaqsii_Chaqsii<- read.csv("DRChaqssi.csv",";",header = T) attach(Chaqsii_Chaqsii) head(Chaqsii_Chaqsii) Chaqsii_Chaqsii<- nls(TH~exp(a+b*(1/DGL)),start= list(a=1.2210, b=-1.48473)) summary(Chaqsii_Chaqsii) AIC(Chaqsii_Chaqsii) a=1.2210 b=-1.4846 plot(TH~DGL, main="Chaqsii-Chaqsii 4050 m", ylab="", bg="gray58", xlab = substitute(paste(italic("P. flavipila"))), cex.lab=1.5, cex.axis=1.2, cex.main=1.3, cex.sub=1.5,col="black",lwd="1.4",pch=21, xlim=c(0, 35),ylim=c(0,8)) curve(exp(a+b*(1/x)), add=T, col="black",lty=3, lwd="7",pch=21, bg="green") chaqsii_Chaqsii<- lm(TH~DGL) summary(chaqsii_Chaqsii) AIC(chaqsii_Chaqsii) a=2.3204 b=0.0526 curve((a+b*x),add=T, col="gray46",lty=1,lwd="4",pch=21,bg="green",xlim=c(0, 33)) #legend(x=13, y=2.3,legend=c("0.031(591)", "0.055(591)"),col=c(1), bty = "n") #---------------------------------------------------------------- #Locality Tasta; P. canoi; Schumacher Model #---------------------------------------------------------------- Tasta<- read.csv("DRTasta.csv",";",header = T) attach(Tasta) head(Tasta) Tasta<- nls(TH~a/(1+b*exp(-c*DGL)),start= list(a=14.18, b=4.21,c=0.04)) summary(Tasta) AIC(Tasta) a=14.188 b=4.213 c=0.042 plot(TH~DGL, main="Tasta 4051 m", ylab="TH(m)", bg="gray58", xlab = substitute(paste(italic("P. canoi"))), cex.lab=1.5, cex.axis=1.2, cex.main=1.3, cex.sub=1.5,col="black",lwd="1.4",pch=21, xlim=c(0, 70),ylim=c(0, 15)) curve(a/(1+b*exp(-c*x)), add=T, col="black",lty=3, lwd="7",pch=21, bg="green") tasta<- lm(TH~DGL) summary(tasta) AIC(tasta) a=2.496 b=0.136 curve((a+b*x),add=T, col="gray46",lty=1,lwd="4",pch=21,bg="green",xlim=c(0, 65)) #legend(x=15, y=4.3,legend=c("0.49(385)", "0.31(398)"),col=c(1), bty = "n") #---------------------------------------------------------------- #Locality Nahuin; P. canoi; Logistico Model #---------------------------------------------------------------- Nahuin<- read.csv("DRNahuin.csv",";",header = T) attach(Nahuin) head(Nahuin) Nahuin<- nls(TH~a/(1+b*exp(-c*DGL)),start= list(a=10.924, b=5.9844,c=0.125)) summary(Nahuin) AIC(Nahuin) a=10.924 b=5.984 c=0.125 plot(TH~DGL, main="Nahuin 3800 m", ylab="", bg="gray58", xlab = substitute(paste(italic("P. canoi"))), cex.lab=1.5, cex.axis=1.2, cex.main=1.3, cex.sub=1.5,col="black",lwd="1.4",pch=21, xlim=c(0, 50),ylim=c(0, 17)) curve(a/(1+b*exp(-c*x)), add=T, col="black",lty=3, lwd="7",pch=21, bg="green") nahuin<- lm(TH~DGL) summary(nahuin) AIC(nahuin) a=2.419 b=0.2179 curve((a+b*x),add=T, col="gray46",lty=1,lwd="4",pch=21,bg="green",xlim=c(0, 48)) #legend(x=15, y=5.3,legend=c("0.67(553)", "0.59(584)"),col=c(1), bty = "n") #---------------------------------------------------------------- #Locality Jucha; P. canoi; Schumacher Model #---------------------------------------------------------------- Jucha<- read.csv("DRJucha.csv",";",header = T) attach(Jucha) tail(Jucha) Jucha<- nls(TH~exp(a+b*(1/DGL)),start= list(a=2.2222, b=-6.3390)) summary(Jucha) AIC(Jucha) a=2.23 b=-6.405 plot(TH~DGL, main="Jucha 3910 m", ylab="", bg="gray58", xlab = substitute(paste(italic("P. canoi"))), cex.lab=1.5, cex.axis=1.2, cex.main=1.3, cex.sub=1.5,col="black",lwd="1.4",pch=21, xlim=c(0, 50),ylim=c(0, 15)) curve(exp(a+b*(1/x)), add=T, col="black",lty=3, lwd="7",pch=21, bg="green") jucha<- lm(TH~DGL) summary(jucha) AIC(jucha) a=2.981 b=0.180 curve((a+b*x),add=T, col="gray46",lty=1,lwd="4",pch=21,bg="green",xlim=c(0, 43)) #legend(x=18, y=4.7,legend=c("0.37(684)", "0.30(702)"),col=c(1), bty = "n") #---------------------------------------------------------------- #Locality Llantaco; P. canoi; Gompertz Model #---------------------------------------------------------------- Llantaco<- read.csv("DRLlantaco.csv",";",header = T) attach(Llantaco) head(Llantaco) Llantaco<- nls(TH~a*exp(-exp(b-c*DGL)),start= list(a=11.0432, b=0.6587,c=0.0852)) summary(Llantaco) AIC(Llantaco) a=13.478 b=0.765 c=0.078 plot(TH~DGL, main="Llantaco 3850 m", ylab="", bg="gray58", xlab = substitute(paste(italic("P. canoi"))), cex.lab=1.5, cex.axis=1.2, cex.main=1.3, cex.sub=1.5,col="black",lwd="1.4",pch=21, xlim=c(0, 30),ylim=c(0, 15)) curve(a*exp(-exp(b-c*x)), add=T, col="black",lty=3, lwd="7",pch=21, bg="green") llantaco<- lm(TH~DGL) summary(llantaco) AIC(llantaco) a=1.556 b=0.349 curve((a+b*x),add=T, col="gray46",lty=1,lwd="4",pch=21,bg="green",xlim=c(0, 26)) #legend(x=14, y=4,legend=substitute(paste(italic(c("0.69(643)", "0.29(641)")))),col=c(1), bty = "n") ##### out 600 DPI in format JPG dev.off()