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##Two species in a Beverton-Holt competition model on a 2-d landscape | |
################## | |
###Parameters | |
years=15 | |
scape=100 | |
#species GR | |
Sp1=50 | |
Sp2=40 | |
#landscape | |
sp1_land<-array(runif(scape*scape,70,90),c(scape,scape,(years+1))) | |
sp2_land<-array(runif(scape*scape,70,90),c(scape,scape,(years+1))) | |
y1<-matrix(c(rep(c(rep(0.4,40),rep(0.70,20),c(rep(0.4,40))),40),rep(0.7,20*scape),rep(c(rep(0.4,40),rep(0.7,20),c(rep(0.4,40))),40)),ncol=scape,nrow=scape) | |
y2<-1-y1 | |
res<-matrix((sp2_land[,,1]-sp1_land[,,1]),scape,scape) | |
###Functions | |
colrs<-colorRampPalette(sample(c("darkred","green3"),2,replace=FALSE)) | |
bevertonholt2sp<-function(years,scape,sp1_land,sp2_land,res){ | |
for(i in 1:years){ | |
for(j in 1:scape){ | |
for(k in 1:scape){ | |
N1<-sp1_land[j,k,i] | |
N2<-sp2_land[j,k,i] | |
#growth rates | |
dN1<-N1*rnorm(1,Sp1,0.015)/(1+(y1[j,k]*N2+N1)) | |
dN2<-N2*rnorm(1,Sp2,0.015)/(1+(y2[j,k]*N1+N2)) | |
#update pop sizes | |
sp1_land[j,k,i+1]<-N1+dN1 | |
sp2_land[j,k,i+1]<-N2+dN2 | |
#pop size differences | |
res[j,k]<-(sp2_land[j,k,i+1]-sp1_land[j,k,i+1]) | |
} | |
} | |
image(res,col=colrs(6),xaxt="n",yaxt="n",add=TRUE) | |
} | |
} | |
par(bg="wheat1",bty="n",pty="m",ps=15) | |
image(res,col=colrs(6),xaxt="n",yaxt="n",lty="blank") | |
bevertonholt2sp(years,scape,sp1_land,sp2_land,res) | |
polygon(x=c(0.04,0.15,0.37,0.36,0.25,0.04),y=c(0.75,0.98,0.85,0.68,0.61,0.75),col="oldlace",border="darkgrey") | |
lines(x=c(0.36,0.4),y=c(0.68,0.6),lwd=0.75,col="brown3") | |
text(x=0.21,y=0.8,"Happy\n Holidays\n from the\n EEB & Flow",cex=1,col=colrs(6)[6],font=4,srt=-30) |
3 comments:
This may be the best one yet, based as it is on an actual ecological model. :-)
Thanks Jeremy! It turned out to be a surprisingly informative way to explore parameter space in the model too :)
library(RCurl)
eval(expr = parse(text = getURL("https://gist.github.com/anonymous/8093d30abb558f5a8fe5/raw/b90746a87221a7977c2562b2aa73a89e88053479/Holiday+caRd+2013")))
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