Technological advances have steadily increased the detail of animal tracking datasets, yet fundamental data limitations exist for many species that cause substantial biases in homeârange estimation.
We show the standard deviation of the best model in each set (in all cases this was the model including either individual or breeding pair identities, see Tables 3 and 4), and that of the same model s
Linear regressions for the grasses and forbs that were investigated in the grasshopper feeding experiment with respect to the two nonmetric multidimensional scaling axes (NMDS).
Bat diversity parameters (species richness, abundance, functional richness and functional abundance) were tested as dependent variables. In all cases, the fitted model was Y = μ + Forest cover + Seaso
