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Author Gaston, K.J. url  doi
openurl 
  Title Lighting up the nighttime Type Journal Article
  Year 2018 Publication Science (New York, N.Y.) Abbreviated Journal Science  
  Volume (down) 362 Issue 6416 Pages 744-746  
  Keywords Commentary  
  Abstract Among the most visually compelling images of the whole Earth have been those created using data obtained at night by astronauts or from satellites. The proliferation in use of electric lighting—including from industrial, commercial, municipal, and domestic sources—is striking. It sketches the spatial distribution of much of the human population, outlining a substantial proportion of the world's coastline, highlighting a multitude of towns and cities, and drawing the major highways that connect them. The data embodied in these nighttime images have been used to estimate and map levels of energy use, urbanization, and economic activity. They have also been key in focusing attention on the environmental impacts of the artificial light at night itself. Explicit steps need to be taken to limit these impacts, which vary according to the intensity, spectrum, spatial extent, and temporal dynamics of this lighting.  
  Address Environment and Sustainability Institute, University of Exeter, Penryn, Cornwall TR10 9FE, UK. k.j.gaston@exeter.ac.uk  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0036-8075 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:30442788 Approved no  
  Call Number GFZ @ kyba @ Serial 2058  
Permanent link to this record
 

 
Author Gaynor, K.M.; Hojnowski, C.E.; Carter, N.H.; Brashares, J.S. url  doi
openurl 
  Title The influence of human disturbance on wildlife nocturnality Type Journal Article
  Year 2018 Publication Science (New York, N.Y.) Abbreviated Journal Science  
  Volume (down) 360 Issue 6394 Pages 1232-1235  
  Keywords  
  Abstract Rapid expansion of human activity has driven well-documented shifts in the spatial distribution of wildlife, but the cumulative effect of human disturbance on the temporal dynamics of animals has not been quantified. We examined anthropogenic effects on mammal diel activity patterns, conducting a meta-analysis of 76 studies of 62 species from six continents. Our global study revealed a strong effect of humans on daily patterns of wildlife activity. Animals increased their nocturnality by an average factor of 1.36 in response to human disturbance. This finding was consistent across continents, habitats, taxa, and human activities. As the global human footprint expands, temporal avoidance of humans may facilitate human-wildlife coexistence. However, such responses can result in marked shifts away from natural patterns of activity, with consequences for fitness, population persistence, community interactions, and evolution.  
  Address Department of Environmental Science, Policy, and Management, University of California-Berkeley, Berkeley, CA 94720, USA  
  Corporate Author Thesis  
  Publisher AAAS Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0036-8075 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:29903973 Approved no  
  Call Number IDA @ john @ Serial 1988  
Permanent link to this record
 

 
Author Rajaratnam, S.M.W.; Arendt, J. url  doi
openurl 
  Title Health in a 24-h society Type Journal Article
  Year 2001 Publication The Lancet Abbreviated Journal The Lancet  
  Volume (down) 358 Issue 9286 Pages 999-1005  
  Keywords Human Health  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0140-6736 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ kagoburian @ Serial 856  
Permanent link to this record
 

 
Author Cinzano, P.; Elvidge, C.D. url  doi
openurl 
  Title Night sky brightness at sites from DMSP-OLS satellite measurements Type Journal Article
  Year 2004 Publication Monthly Notices of the Royal Astronomical Society Abbreviated Journal MNRAS  
  Volume (down) 353 Issue 4 Pages 1107-1116  
  Keywords scattering; atmospheric effects; light pollution; site testing; GTOPO30; DMSP  
  Abstract We apply the sky brightness modelling technique introduced and developed by Roy Garstang to high-resolution satellite measurements of upward artificial light flux carried out with the US Air Force Defense Meteorological Satellite Program Operational Linescan System and to GTOPO30 (a global digital elevation model by the US Geological Survey's EROS Data Centre) digital elevation data in order to predict the brightness distribution of the night sky at a given site in the primary astronomical photometric bands for a range of atmospheric aerosol contents. This method, based on global data and accounting for elevation, Earth curvature and mountain screening, allows the evaluation of sky glow conditions over the entire sky for any site in the world, to evaluate its evolution, to disentangle the contribution of individual sources in the surrounding territory and to identify the main contributing sources. Sky brightness, naked eye stellar visibility and telescope limiting magnitude are produced as three-dimensional arrays, the axes of which are the position on the sky and the atmospheric clarity. We compare our results with available measurements.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0035-8711 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ john @ Serial 172  
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Author Jean, N.; Burke, M.; Xie, M.; Davis, W.M.; Lobell, D.B.; Ermon, S. url  doi
openurl 
  Title Combining satellite imagery and machine learning to predict poverty Type Journal Article
  Year 2016 Publication Science Abbreviated Journal Science  
  Volume (down) 353 Issue 6301 Pages 790-794  
  Keywords Remote Sensing  
  Abstract Nighttime lighting is a rough proxy for economic wealth, and nighttime maps of the world show that many developing countries are sparsely illuminated. Jean et al. combined nighttime maps with high-resolution daytime satellite images (see the Perspective by Blumenstock). With a bit of machine-learning wizardry, the combined images can be converted into accurate estimates of household consumption and assets, both of which are hard to measure in poorer countries. Furthermore, the night- and day-time data are publicly available and nonproprietary.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0036-8075 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ kyba @ Serial 1507  
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