when night becomes day: artificial light at night alters insect behavior under semi-natural conditions

Light is the most important Zeitgeber for temporal synchronization in nature. Artificial light at night (ALAN) disrupts the natural light-dark rhythmicity and thus negatively affects animal behavior. However, to date, ALAN research has been mostly conducted under laboratory conditions in this context. Here, we used the field cricket, Gryllus bimaculatus, to investigate the effect of ALAN on insect behavior under semi-natural conditions, i.e., under shaded natural lighting conditions, natural temperature and soundscape. Male crickets were placed individually in outdoor enclosures and exposed to ALAN conditions ranging from <0.01 to 1500 lx intensity. The crickets' stridulation behavior was recorded for 14 consecutive days and nights and their daily activity patterns were analysed. ALAN impaired the crickets' stridulation rhythm, evoking a change in the crickets' naturally synchronized daily activity period. This was manifested by a light-intensity-dependent increase in the proportion ..., Adult male crickets raised in the laboratory under LD were put in enclosures in the shaded natural environment and exposed to various levels of ALAN for two weeks. Their stridulation activity period as well as their onset and offset of activity were calculated. , , # When night becomes day: Artificial light at night alters insect behavior under semi-natural conditions

[https://doi.org/10.5061/dryad.6t1g1jx4z](https://doi.org/10.5061/dryad.6t1g1jx4z)

## Description of the data and file structure

The data includes several Excel files. Each is related to a figure or results calculations, indicated in the file title.
Overall, SNE means semi-natural experiment, while Tau stands for each single cricket activity rhythm calculation.

Additionally, the supplementary materials such as additional figures and tables are added here.

## Code/Software

Overall 4 main codes were used:
1\. running the detection of Raven as a batch detection resulting in txt files from the Raven program (covering for a bug in batch detection)
2\. Extracting stridulation data from these txt files and creating time-series for actograms
3\. Comparing the onset and offset of activity data to sunset and sunrise
4\. A code to apply CosinorPY of (Moskon 2020) on our data