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Schirmer, A. E., Gallemore, C., Liu, T., Magle, S., DiNello, E., Ahmed, H., et al. (2019). Mapping behaviorally relevant light pollution levels to improve urban habitat planning. Sci Rep, 9(1), 1–13.
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Zhu, Y., Xu, D., Saleem, A., Ma, R., & Cheng, J. (2019). Can Nighttime Light Data Be Used to Estimate Electric Power Consumption? New Evidence from Causal-Effect Inference. Energies, 12(16), 3154.
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Vanbergen, A. J., Potts, S. G., Vian, A., Malkemper, E. P., Young, J., & Tscheulin, T. (2019). Risk to pollinators from anthropogenic electro-magnetic radiation (EMR): Evidence and knowledge gaps. Science of The Total Environment, in press.
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Xu, P., Wang, Q., Jin, J., & Jin, P. (2019). An increase in nighttime light detected for protected areas in mainland China based on VIIRS DNB data. Ecological Indicators, 107, 105615.
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Kernbach, M. E., Newhouse, D. J., Miller, J. M., Hall, R. J., Gibbons, J., Oberstaller, J., et al. (2019). Light pollution increases West Nile virus competence of a ubiquitous passerine reservoir species. Proc Biol Sci, 286(1907), 20191051.
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  This literature database is maintained by the International Darksky Association & Loss of the Night Network, (IDA). You're welcome to send any questions or suggestions to our feedback address. The database is powered by refbase, an open source database front-end for managing scientific literature & citations. powered by refbase