largeplot: Tree spatial coordinates in a large sample plot in...

In biometrics: Functions and Datasets for Forest Biometrics and Modelling

Tree spatial coordinates in a large sample plot in Fennoscandia

Description

Data from a large (8.8 ha) fully mapped plot in a Norway spruce (Picea abies) dominated old-growth forest in the subarctic region of Fennoscandia.

Usage

data(largeplot)

Format

Contains Cartesian position of trees and other variables in a large sample plot, as follows:

tree

Tree ID.

spp.code

Species code as follows: 1=Pinus sylvestris,2=Picea abies,3=Betula pubescens, 5=Salix caprea, 8: Sorbus aucuparia.

x.coord

Cartesian position in the X-axis, in m.

y.coord

Cartesian position in the Y-axis, in m.

status

Measurement year.

dbh

Diameter at breast-height, in cm.

toth

Total height, in m.

Source

Data were retrieved from the paper cited below, where several details might be worth reading.

References

- Pouta P, Kulha N, Kuuluvainen T, Aakala T. 2022. Partitioning of space among trees in an old-growth spruce forest in subarctic Fennoscandia. Frontiers in Forests and Global Change 5: 817248. \Sexpr[results=rd]{tools:::Rd_expr_doi("https://doi.org/10.3389/ffgc.2022.817248")}

Examples

data(largeplot)    
head(largeplot)
df<-largeplot
pine <- df[df$spp.code==1,]
spruce <- df[df$spp.code==2,]
birch <- df[df$spp.code==3,]
plot(spruce$x.coord,spruce$y.coord,cex=(spruce$dbh)/30,col="blue")
points(birch$x.coord,birch$y.coord,cex=(birch$dbh)/30,col="green")
points(pine$x.coord,pine$y.coord,cex=(pine$dbh)/30,col="red")

biometrics documentation built on April 4, 2025, 12:35 a.m.