Data from: Illuminating prey selection in an insectivorous bat community, exposed to artificial light at night
Cravens, Zachary M., Southern Illinois University Carbondale
Brown, Veronica A., University of Tennessee at Knoxville
Divoll, Timothy J., Indiana State University
Boyles, Justin G., Southern Illinois University Carbondale
Published Oct 11, 2018 on Dryad.
Cite this dataset
Cravens, Zachary M.; Brown, Veronica A.; Divoll, Timothy J.; Boyles, Justin G. (2018). Data from: Illuminating prey selection in an insectivorous bat community, exposed to artificial light at night [Dataset]. Dryad. https://doi.org/10.5061/dryad.gm6kk
1.Light pollution has been increasing around the globe and threatens to disturb natural rhythms of wildlife species. Artificial light impacts the behaviour of insectivorous bats in numerous ways, including foraging behaviour, which may in turn lead to altered prey selection.
2.In a manipulative field experiment, we collected faecal samples from six species of insectivorous bats in naturally dark and artificially lit conditions, and identified prey items using molecular methods to investigate effects of light pollution on prey selection.
3.Proportional differences of identified prey were not consistent and appeared to be species specific. Red bats, little brown bats, and gray bats exhibited expected increases in moths at lit sites. Beetle-specialist big brown bats had a sizeable increase in beetle consumption around lights, while tri-colored bats and evening bats showed little change in moth consumption between experimental conditions. Dietary overlap was high between experimental conditions within each species, and dietary breadth only changed significantly between experimental conditions in one species, the little brown bat.
4.Policy implications. Our results, building on others, demonstrate that bat-insect interactions may be more nuanced than the common assertion that moth consumption increases around lights. They highlight the need for a greater mechanistic understanding of bat-light interactions to predict which species will be most affected by light pollution. Given differences in bat and insect communities, we advocate biologists, land stewards, and civil planners work collaboratively to determine lighting solutions that minimize changes in foraging behaviour of species in the local bat community. Such efforts may allow stakeholders to more effectively craft management strategies to minimize unnatural shifts in prey selection caused by artificial lights.
The data in this file is the data used in the analysis of Cravens et al. 2017. The data has been filtered from the raw output from the 'Bold' package in program R. Please see the 'remarks' worksheet for explanations of the abbreviations used in the data file. We can provide the raw, unfiltered output from the 'Bold' package if one is interested.
Representative sequences for identification of insects in BOLD database
This data file contains the data, in fasta file format, of each of the representative sequences obtained from clustering and filtering, that were input into the BOLD database for identification.