Data analysis
Peak time of insect emergence was analyzed based on the number of
insects collected per hour. It can be associated with bat foraging
activity in the following objective of the study. Insect presence was
used to estimate food availability for bats based on different stages of
paddy growth (germination, vegetative, reproductive, ripening and
harvesting). Insect data is recorded in two parameters: relative
abundance (number of insects of specific taxa/total number of insects)
and absolute abundance (number of insects of specific taxa). All the
statistical analyses were calculated in R version 4.2.2. The Pearson
parametric correlation test was used for the correlation analysis. The
variables were first centered and scaled before running for the
statistical test. For the multiple linear regression, the model used is
lm(bat activity ~ minimum temperature + rainfall,
data=mydata). We also run the regression model for these dominant bat
species: Rhinolophus pusillus , Myotis ridleyi ,Hipposideros larvatus , Rhinolophus malayanus andRhinolophus refulgens . Multiple linear regression requires some
conditions of application for the model to be usable and the results can
be interpretable. The function check_model() from the {performance}
package was used to test all of the conditions of the model.