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Cloud Coverage Acts as an Amplifier for Ecological Light Pollution in Urban Ecosystems

Overview of attention for article published in PLOS ONE, March 2011
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Title
Cloud Coverage Acts as an Amplifier for Ecological Light Pollution in Urban Ecosystems
Published in
PLOS ONE, March 2011
DOI 10.1371/journal.pone.0017307
Pubmed ID
Authors

Christopher C. M. Kyba, Thomas Ruhtz, Jürgen Fischer, Franz Hölker

Abstract

The diurnal cycle of light and dark is one of the strongest environmental factors for life on Earth. Many species in both terrestrial and aquatic ecosystems use the level of ambient light to regulate their metabolism, growth, and behavior. The sky glow caused by artificial lighting from urban areas disrupts this natural cycle, and has been shown to impact the behavior of organisms, even many kilometers away from the light sources. It could be hypothesized that factors that increase the luminance of the sky amplify the degree of this "ecological light pollution". We show that cloud coverage dramatically amplifies the sky luminance, by a factor of 10.1 for one location inside of Berlin and by a factor of 2.8 at 32 km from the city center. We also show that inside of the city overcast nights are brighter than clear rural moonlit nights, by a factor of 4.1. These results have important implications for choronobiological and chronoecological studies in urban areas, where this amplification effect has previously not been considered.

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Geographical breakdown

Country Count As %
United States 5 2%
United Kingdom 2 <1%
Switzerland 1 <1%
Australia 1 <1%
Canada 1 <1%
Germany 1 <1%
Spain 1 <1%
Mexico 1 <1%
Unknown 320 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 57 17%
Student > Bachelor 57 17%
Student > Master 47 14%
Student > Ph. D. Student 45 14%
Other 24 7%
Other 37 11%
Unknown 66 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 129 39%
Environmental Science 53 16%
Earth and Planetary Sciences 15 5%
Physics and Astronomy 13 4%
Engineering 11 3%
Other 31 9%
Unknown 81 24%