Abundances of 41 epigaeic ant species across 30 sites in south-eastern Australia, with species trait and environmental data
data(antTraits)A list containing three elements:
A data frame with observations at 30 different locations of abundances of 41 epigaeic ant species.
A data frame containing 7 environmental variables from transects at each of the 30 sites:
Percent cover of bare ground, as estimated from ten 1x1 metre quadrats
Percent canopy cover, as estimated from two 20x20m transects
Percent canopy cover, as estimated from two 20x20m transects
Estimated volume of Coarse Woody Debris in two 20x20m transects, including all debris >5cm diameter.
Proportion of quadrats including mammal dung, out of ten 1x1m quadrats.
A data frame containing 5 species traits measured for each of the 41 species. Weber's length was log-transformed, Femur length was log-transformed then regressed against log(Weber's length), to remove the effect of size.
Residuals from regression of log(Femur length) against log(Weber's length)
Number of spines on propodeum and petioles, as an integer value
A factor with four levels of pilosity, 0 = No or very few hairs; 1 = a sparse but regular covering of hairs; 2 = a consistent, moderate covering of hair; 3 = very dense hair covering
0 = Monomorphic, 1 = polymorphic, 2 = dimorphic
log transformed. Body length, measured as the distance from the anterodorsal margin of the pronotum to the posteroventral margin of the propodeum
Gibb H, Stoklosa J, Warton, DI, Brown, AM, Andrew, NR and Cunningham, SA (2015) Does morphology predict trophic position and habitat use of ant species and assemblages? Oecologia 177, 519-531.
# NOT RUN {
data(antTraits)
ft = traitglm(antTraits$abund,antTraits$env,antTraits$traits) #to do a fourth corner analysis
# }
Run the code above in your browser using DataLab