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Author |
Katz, Y.; Levin, N. |
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Title |
Quantifying urban light pollution -- A comparison between field measurements and EROS-B imagery |
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Journal Article |
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Year |
2016 |
Publication |
Remote Sensing of Environment |
Abbreviated Journal |
Remote Sensing of Environment |
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177 |
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65-77 |
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Keywords |
Remote Sensing; Skyglow |
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0034-4257 |
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LoNNe @ kyba @ |
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1359 |
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Author |
Dominoni, D.M.; Borniger, J.C.; Nelson, R.J. |
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Title |
Light at night, clocks and health: from humans to wild organisms |
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Journal Article |
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Year |
2016 |
Publication |
Biology Letters |
Abbreviated Journal |
Biol Lett |
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Volume |
12 |
Issue |
2 |
Pages |
20160015 |
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Keywords |
Commentary; Ecology |
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Abstract |
The increasing use of electric lights has modified the natural light environment dramatically, posing novel challenges to both humans and wildlife. Indeed, several biomedical studies have linked artificial light at night to the disruption of circadian rhythms, with important consequences for human health, such as the increasing occurrence of metabolic syndromes, cancer and reduced immunity. In wild animals, light pollution is associated with changes in circadian behaviour, reproduction and predator-prey interactions, but we know little about the underlying physiological mechanisms and whether wild species suffer the same health problems as humans. In order to fill this gap, we advocate the need for integrating ecological studies in the field, with chronobiological approaches to identify and characterize pathways that may link temporal disruption caused by light at night and potential health and fitness consequences. |
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Department of Neuroscience, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA |
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English |
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1744-9561 |
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PMID:26888917 |
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LoNNe @ kyba @ |
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1360 |
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Author |
Kocifaj, M.; Kómar, L. |
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Title |
A role of aerosol particles in forming urban skyglow and skyglow from distant cities |
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Journal Article |
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Year |
2016 |
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Monthly Notices of the Royal Astronomical Society |
Abbreviated Journal |
MNRAS |
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Volume |
458 |
Issue |
1 |
Pages |
438-448 |
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Keywords |
Skyglow; scattering; atmospheric effects; artificial light; numerical modeling; GIS-based modeling; light pollution |
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Abstract |
Aerosol particles may represent the largest uncertainty about skyglow change in many locations under clear sky conditions. This is because aerosols are ubiquitous in the atmosphere and influence the ground-reaching radiation in different ways depending on their concentrations, origins, shapes, sizes, and compositions. Large particles tend to scatter in Fraunhofer diffraction regime, while small particles can be treated in terms of Rayleigh formalism. However, the role of particle microphysics in forming the skyglow still remains poorly quantified. We have shown in this paper that the chemistry is somehow important for backscattering from large particles that otherwise work as efficient attenuators of light pollution if composed of absorbing materials. The contribution of large particles to the urban skyglow diminishes as they become more spherical in shape. The intensity of backscattering from non-absorbing particles is more-or-less linearly decreasing function of particle radius even if number size distribution is inversely proportional to the fourth power of particle radius. This is due to single particle backscattering that generally increases steeply as the particle radius approaches large values. Forward scattering depends on the particle shape but is independent of the material composition, thus allowing for a simplistic analytical model of skyglow from distant cities. The model we have developed is based on mean value theorem for integrals and incorporates the parametrizable Garstang's emission pattern, intensity decay along optical beam path, and near-forward scattering in an atmospheric environment. Such model can be used by modellers and experimentalists for rapid estimation of skyglow from distant light sources. |
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ICA, Slovak Academy of Sciences, Dúbravská Road 9, 845 03 Bratislava, Slovak Republic; kocifaj(at)savba.sk |
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Oxford Journals |
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English |
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English |
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IDA @ john @ |
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1361 |
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Author |
Kim, Y.J.; Park, M.S.; Lee, E.; Choi, J.W. |
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Title |
High Incidence of Breast Cancer in Light-Polluted Areas with Spatial Effects in Korea |
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Journal Article |
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Year |
2016 |
Publication |
Asian Pacific Journal for Cancer Prevention |
Abbreviated Journal |
Asian Pac J Cancer Prev |
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Volume |
17 |
Issue |
1 |
Pages |
361-367 |
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Keywords |
Human Health; Light pollution; breast cancer; spatial analysis; intrinsic conditional autoregressive model |
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We have reported a high prevalence of breast cancer in light-polluted areas in Korea. However, it is necessary to analyze the spatial effects of light polluted areas on breast cancer because light pollution levels are correlated with region proximity to central urbanized areas in studied cities. In this study, we applied a spatial regression method (an intrinsic conditional autoregressive [iCAR] model) to analyze the relationship between the incidence of breast cancer and artificial light at night (ALAN) levels in 25 regions including central city, urbanized, and rural areas. By Poisson regression analysis, there was a significant correlation between ALAN, alcohol consumption rates, and the incidence of breast cancer. We also found significant spatial effects between ALAN and the incidence of breast cancer, with an increase in the deviance information criterion (DIC) from 374.3 to 348.6 and an increase in R² from 0.574 to 0.667. Therefore, spatial analysis (an iCAR model) is more appropriate for assessing ALAN effects on breast cancer. To our knowledge, this study is the first to show spatial effects of light pollution on breast cancer, despite the limitations of an ecological study. We suggest that a decrease in ALAN could reduce breast cancer more than expected because of spatial effects. |
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Department of Preventive Medicine, College of Medicine, Korea University, Seoul, Korea; eunil(at)korea.ac.kr. |
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Asian Pacific Organization for Cancer Prevention |
Place of Publication |
Korea |
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English |
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English |
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IDA @ john @ |
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1362 |
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Author |
Shafiei Sabet, S.; Van Dooren, D.; Slabbekoorn, H. |
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Title |
Son et lumiere: Sound and light effects on spatial distribution and swimming behavior in captive zebrafish |
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Journal Article |
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Year |
2016 |
Publication |
Environmental Pollution (Barking, Essex : 1987) |
Abbreviated Journal |
Environ Pollut |
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Volume |
212 |
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Pages |
480-488 |
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Keywords |
Animals |
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Abstract |
Aquatic and terrestrial habitats are heterogeneous by nature with respect to sound and light conditions. Fish may extract signals and exploit cues from both ambient modalities and they may also select their sound and light level of preference in free-ranging conditions. In recent decades, human activities in or near water have altered natural soundscapes and caused nocturnal light pollution to become more widespread. Artificial sound and light may cause anxiety, deterrence, disturbance or masking, but few studies have addressed in any detail how fishes respond to spatial variation in these two modalities. Here we investigated whether sound and light affected spatial distribution and swimming behavior of individual zebrafish that had a choice between two fish tanks: a treatment tank and a quiet and light escape tank. The treatments concerned a 2 x 2 design with noisy or quiet conditions and dim or bright light. Sound and light treatments did not induce spatial preferences for the treatment or escape tank, but caused various behavioral changes in both spatial distribution and swimming behavior within the treatment tank. Sound exposure led to more freezing and less time spent near the active speaker. Dim light conditions led to a lower number of crossings, more time spent in the upper layer and less time spent close to the tube for crossing. No interactions were found between sound and light conditions. This study highlights the potential relevance for studying multiple modalities when investigating fish behavior and further studies are needed to investigate whether similar patterns can be found for fish behavior in free-ranging conditions. |
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Behavioral Biology, Institute of Biology Leiden (IBL), Leiden University, The Netherlands |
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0269-7491 |
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PMID:26963699 |
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LoNNe @ kyba @ |
Serial |
1369 |
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