Supporting data for "Spatiotemporal variation in artificial and natural light as drivers of change in subtropical bat communities"

Data collected for PhD thesis "Spatiotemporal variation in artificial and natural light as drivers of change in subtropical bat communities".

Chapter 2 relates to the classification and identification of bat echolocation calls in Hong Kong, using Gaussian Mixture Models and Random Forest. Data includes parameters related to bat echolocation call structure. Also included is R code explaining the process and methodology.

Chapter 3 looks at the diel pattern of bat activity around streetlights compared to unlit locations, to investigate whether streetlights affect the timing of activity and the degree of direct temporal competition between species, and to evaluate the extent to which this might be affected by background light from natural (twilight) and artificial (skyglow) sources. Data included are details of the calls extracted from the recordings and identification of bats based on these calls, as well as details about the recording locations.

Chapter 4 compiles Species Distribution Models of bats based on transect surveys and environmental data (light, vegetation, water, habitat and climate) to assess the extent to which artificial light restricts the landscape-scale distribution of bats. Data included here are the calls and identification of bats recorded, and the transect routes followed during data collection.