Counts of arthropods in a grid-sampled wheat field
holland.arthropods.Rd
Counts of arthropods in a grid-sampled wheat field
Usage
data("holland.arthropods")
Format
A data frame with 63 observations on the following 8 variables.
row
row
col
column
n.brevicollis
species counts
linyphiidae
species counts
collembola
species counts
carabidae
species counts
lycosidae
species counts
weedcover
percent weed cover
Details
Arthropods were sampled at 30m x 30m grid in a wheat field near Wimborne, Dorest, UK on 6 dates in Jun/Jul 1996. Arthropod counts were aggregated across the 6 dates.
Holland et al. used SADIE (Spatial Analysis by Distance Indices) to look for spatial patterns. Significant patterns were found for N. brevicollis, Carabidae, Lycosidae. The Lycosidae counts were also significantly associated with weed cover.
Used with permission of John Holland.
Source
Holland J. M., Perry J. N., Winder, L. (1999). The within-field spatial and temporal distribution of arthropods within winter wheat. Bulletin of Entomological Research, 89: 499-513. Figure 3 (large grid in 1996). https://doi.org/10.1017/S0007485399000656
Examples
if (FALSE) { # \dontrun{
library(agridat)
data(holland.arthropods)
dat <- holland.arthropods
# use log count to make it possible to have same scale for insects
libs(reshape2, lattice)
grays <- colorRampPalette(c("#d9d9d9","#252525"))
dat2 <- melt(dat, id.var=c('row','col'))
contourplot(log(value) ~ col*row|variable, dat2,
col.regions=grays(7), region=TRUE,
main="holland.arthropods - log counts in winter wheat")
if(0){
# individual species
libs(lattice)
grays <- colorRampPalette(c("#d9d9d9","#252525"))
contourplot(linyphiidae ~ col*row, dat, at=c(0,40,80,120,160,200), region=TRUE,
col.regions=grays(5),
main="holland.arthropods - linyphiidae counts in winter wheat")
contourplot(n.brevicollis ~ col*row, dat, region=TRUE)
contourplot(linyphiidae~ col*row, dat, region=TRUE)
contourplot(collembola ~ col*row, dat, region=TRUE)
contourplot(carabidae ~ col*row, dat, region=TRUE)
contourplot(lycosidae ~ col*row, dat, region=TRUE)
contourplot(weedcover ~ col*row, dat, region=TRUE)
}
} # }