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Author Longcore, T.; Rich, C.; Mineau, P.; MacDonald, B.; Bert, D.G.; Sullivan, L.M.; Mutrie, E.; Gauthreaux, S.A.J.; Avery, M.L.; Crawford, R.L.; Manville, A.M. 2nd; Travis, E.R.; Drake, D. url  doi
openurl 
  Title An estimate of avian mortality at communication towers in the United States and Canada Type Journal Article
  Year 2012 Publication PloS one Abbreviated Journal PLoS One  
  Volume 7 Issue 4 Pages e34025  
  Keywords (up) Ecology; Accidents/*statistics & numerical data; Altitude; Animals; Birds/*injuries; Canada; Computer Communication Networks/*instrumentation; Conservation of Natural Resources/*statistics & numerical data; *Flight, Animal; *Mortality; Regression Analysis; United States  
  Abstract Avian mortality at communication towers in the continental United States and Canada is an issue of pressing conservation concern. Previous estimates of this mortality have been based on limited data and have not included Canada. We compiled a database of communication towers in the continental United States and Canada and estimated avian mortality by tower with a regression relating avian mortality to tower height. This equation was derived from 38 tower studies for which mortality data were available and corrected for sampling effort, search efficiency, and scavenging where appropriate. Although most studies document mortality at guyed towers with steady-burning lights, we accounted for lower mortality at towers without guy wires or steady-burning lights by adjusting estimates based on published studies. The resulting estimate of mortality at towers is 6.8 million birds per year in the United States and Canada. Bootstrapped subsampling indicated that the regression was robust to the choice of studies included and a comparison of multiple regression models showed that incorporating sampling, scavenging, and search efficiency adjustments improved model fit. Estimating total avian mortality is only a first step in developing an assessment of the biological significance of mortality at communication towers for individual species or groups of species. Nevertheless, our estimate can be used to evaluate this source of mortality, develop subsequent per-species mortality estimates, and motivate policy action.  
  Address The Urban Wildlands Group, Los Angeles, California, United States of America. longcore@urbanwildlands.org  
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  Language English Summary Language Original Title  
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  Series Volume Series Issue Edition  
  ISSN 1932-6203 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:22558082; PMCID:PMC3338802 Approved no  
  Call Number LoNNe @ christopher.kyba @ Serial 475  
Permanent link to this record
 

 
Author Gaston, K.J. url  doi
openurl 
  Title Sustainability: A green light for efficiency Type Journal Article
  Year 2013 Publication Nature Abbreviated Journal Nature  
  Volume 497 Issue 7451 Pages 560-561  
  Keywords (up) Editorial; Animals; Atmosphere/chemistry; Carbon Dioxide/analysis; Circadian Rhythm/physiology; Conservation of Energy Resources/economics/*methods/*trends; Global Warming/prevention & control; Humans; Lighting/*economics/instrumentation/statistics & numerical data/*trends; Public Health  
  Abstract  
  Address Environment and Sustainability Institute, University of Exeter, Penryn, UK. k.j.gaston@exeter.ac.uk  
  Corporate Author Thesis  
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  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0028-0836 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:23719447 Approved no  
  Call Number LoNNe @ christopher.kyba @ Serial 459  
Permanent link to this record
 

 
Author Stone, J.E.; Phillips, A.J.K.; Ftouni, S.; Magee, M.; Howard, M.; Lockley, S.W.; Sletten, T.L.; Anderson, C.; Rajaratnam, S.M.W.; Postnova, S. url  doi
openurl 
  Title Generalizability of A Neural Network Model for Circadian Phase Prediction in Real-World Conditions Type Journal Article
  Year 2019 Publication Scientific Reports Abbreviated Journal Sci Rep  
  Volume 9 Issue 1 Pages 11001  
  Keywords (up) Human Health; Instrumentation  
  Abstract A neural network model was previously developed to predict melatonin rhythms accurately from blue light and skin temperature recordings in individuals on a fixed sleep schedule. This study aimed to test the generalizability of the model to other sleep schedules, including rotating shift work. Ambulatory wrist blue light irradiance and skin temperature data were collected in 16 healthy individuals on fixed and habitual sleep schedules, and 28 rotating shift workers. Artificial neural network models were trained to predict the circadian rhythm of (i) salivary melatonin on a fixed sleep schedule; (ii) urinary aMT6s on both fixed and habitual sleep schedules, including shift workers on a diurnal schedule; and (iii) urinary aMT6s in rotating shift workers on a night shift schedule. To determine predicted circadian phase, center of gravity of the fitted bimodal skewed baseline cosine curve was used for melatonin, and acrophase of the cosine curve for aMT6s. On a fixed sleep schedule, the model predicted melatonin phase to within +/- 1 hour in 67% and +/- 1.5 hours in 100% of participants, with mean absolute error of 41 +/- 32 minutes. On diurnal schedules, including shift workers, the model predicted aMT6s acrophase to within +/- 1 hour in 66% and +/- 2 hours in 87% of participants, with mean absolute error of 63 +/- 67 minutes. On night shift schedules, the model predicted aMT6s acrophase to within +/- 1 hour in 42% and +/- 2 hours in 53% of participants, with mean absolute error of 143 +/- 155 minutes. Prediction accuracy was similar when using either 1 (wrist) or 11 skin temperature sensor inputs. These findings demonstrate that the model can predict circadian timing to within +/- 2 hours for the vast majority of individuals on diurnal schedules, using blue light and a single temperature sensor. However, this approach did not generalize to night shift conditions.  
  Address School of Physics, University of Sydney, Sydney, New South Wales, Australia  
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  Language English Summary Language Original Title  
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  Series Volume Series Issue Edition  
  ISSN 2045-2322 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:31358781; PMCID:PMC6662750 Approved no  
  Call Number GFZ @ kyba @ Serial 2667  
Permanent link to this record
 

 
Author Sánchez de Miguel, A.; Bará, S.; Aubé, M.; Cardiel, N.; Tapia, C.E.; Zamorano, J.; Gaston, K.J. url  doi
openurl 
  Title Evaluating Human Photoreceptoral Inputs from Night-Time Lights Using RGB Imaging Photometry Type Journal Article
  Year 2019 Publication Journal of Imaging Abbreviated Journal J. Imaging  
  Volume 5 Issue 4 Pages 49  
  Keywords (up) Human Health; Remote Sensing; Instrumentation  
  Abstract Night-time lights interact with human physiology through different pathways starting at the retinal layers of the eye; from the signals provided by the rods; the S-, L- and M-cones; and the intrinsically photosensitive retinal ganglion cells (ipRGC). These individual photic channels combine in complex ways to modulate important physiological processes, among them the daily entrainment of the neural master oscillator that regulates circadian rhythms. Evaluating the relative excitation of each type of photoreceptor generally requires full knowledge of the spectral power distribution of the incoming light, information that is not easily available in many practical applications. One such instance is wide area sensing of public outdoor lighting; present-day radiometers onboard Earth-orbiting platforms with sufficient nighttime sensitivity are generally panchromatic and lack the required spectral discrimination capacity. In this paper, we show that RGB imagery acquired with off-the-shelf digital single-lens reflex cameras (DSLR) can be a useful tool to evaluate, with reasonable accuracy and high angular resolution, the photoreceptoral inputs associated with a wide range of lamp technologies. The method is based on linear regressions of these inputs against optimum combinations of the associated R, G, and B signals, built for a large set of artificial light sources by means of synthetic photometry. Given the widespread use of RGB imaging devices, this approach is expected to facilitate the monitoring of the physiological effects of light pollution, from ground and space alike, using standard imaging technology.  
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  ISSN 2313-433X ISBN Medium  
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  Call Number GFZ @ kyba @ Serial 2294  
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Author Kruse, F.A.; Elvidge, C.D. url  openurl
  Title Characterizing urban light sources using imaging spectrometry Type Journal Article
  Year 2011 Publication Proceedings of the Joint Urban Remote Sensing Event 2011, April 13-11, Munich, Germany Abbreviated Journal  
  Volume Issue Pages 149 - 152  
  Keywords (up) Instrumentation  
  Abstract Remote mapping of night lights has been used for decades for mapping urbanization and the global distribution of human activity. Most of this has been accomplished using remote sensing data from the Defense Meteorological Satellite Program (DMSP). The coarse spatial and spectral resolution of DMSP, however, has precluded discrimination of lighting types or spectral characteristics. Recent demonstrations using photography from the International Space Station and airborne multispectral simulations demonstrate significant potential, but high-spectral-resolution field and laboratory measurements indicate that these methods do not take full advantage of the spectral information available. This research demonstrates the use of imaging spectrometer data to identify, characterize, and map urban lighting based on spectral emission lines unique to specific lighting types. ProSpecTIR imaging spectrometer data were analyzed to extract spectral features and these were compared to spectral library measurements on a pixel-by-pixel basis, resulting in a detailed spatial map showing different lighting types. The nature and distribution of lights can be used as a surrogate for measurement of urban development.  
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  Notes Approved no  
  Call Number LoNNe @ christopher.kyba @ Serial 469  
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