Environmental variables and bird counts for identifying suitable bird habitats
data("birds")
A data frame with 258 observations on the following 10 variables.
GST
Growing stock per grid
DBH
Mean diameter of the largest three trees
AOT
Age of oldest tree
AFS
Age of forest stand
DWC
Amount of dead wood of conifers
LOG
Amount of logs per grid
x_gk
grid location, x coordinate
y_gk
grid location, y coordinate
SG4
observed number of birds from structural gild 4: Requirement of regeneration (Phylloscopus trochilus, Aegithalos caudatus)
SG5
observed number of birds from structural gild 5: Requirement of regeneration combined with planted conifers (Phylloscopus collybita, Turdus merula, Sylvia atricapilla).
Counts of breeding bird communities collected at 258 observation plots in a northern Bavarian forest district are the response variable of interest. Along with the number of birds in two structural gilds, 6 covariates are given here and one is interested in quantifying their impact on habitat suitability.
Thomas Kneib and Joerg Mueller and Torsten Hothorn (2008), Spatial smoothing techniques for the assessment of habitat suitability, Environmental and Ecological Statistics, 15(3), 343--364.