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Author Grubisic, M.; Singer, G.; Bruno, M.C.; van Grunsven, R.H.A.; Manfrin, A.; Monaghan, M.T.; Hölker, F. url  doi
openurl 
  Title A pigment composition analysis reveals community changes in pre-established stream periphyton under low-level artificial light at night Type Journal Article
  Year 2018 Publication Limnologica Abbreviated Journal  
  Volume (down) 69 Issue Pages 55-58  
  Keywords Plants; Ecology  
  Abstract Freshwaters are increasingly exposed to artificial light at night (ALAN), yet the consequences for aquatic primary producers remain largely unknown. We used stream-side flumes to expose three-week-old periphyton to LED light. Pigment composition was used to infer community changes in LED-lit and control periphyton before and after three weeks of treatment. The proportion of diatoms/chrysophytes decreased (14%) and cyanobacteria increased (17%) in lit periphyton in spring. This may reduce periphyton nutritional quality in artificially-lit waters.  
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  ISSN 0075-9511 ISBN Medium  
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  Notes Approved no  
  Call Number LoNNe @ schroer @ Serial 1791  
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Author Stathakis, D.; Baltas, P. url  doi
openurl 
  Title Seasonal population estimates based on night-time lights Type Journal Article
  Year 2018 Publication Computers, Environment and Urban Systems Abbreviated Journal Computers, Environment and Urban Systems  
  Volume (down) 68 Issue Pages 133-141  
  Keywords Remote Sensing  
  Abstract The objective of this paper is to present a method for estimating seasonally specific ambient population counts. The central assumption is that the variation in observed night-lights is a valid proxy for ambient population. Island populations are used for validation, where it is possible to derive estimates of ambient population from national statistics. The method is then applied to the whole of Greece. The validation shows a strong correlation amongst night-lights derived estimates and the reference dataset. Based on the proposed method, national maps are produced showing the month when seasonality is in its peak, the peak value during that month and the overall length of the season, in terms of how many months exceed a certain threshold. Different seasonality patterns are revealed. An advantage of the proposed method, compared to other contemporary approaches, is that it is based on public domain, global data.  
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  ISSN 0198-9715 ISBN Medium  
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  Call Number GFZ @ kyba @ Serial 2177  
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Author Zheng, Q.; Jiang, R.; Wang, K.; Huang, L.; Ye, Z.; Gan, M.; Ji, B. url  doi
openurl 
  Title Monitoring the trajectory of urban nighttime light hotspots using a Gaussian volume model Type Journal Article
  Year 2018 Publication International Journal of Applied Earth Observation and Geoinformation Abbreviated Journal International Journal of Applied Earth Observation and Geoinformation  
  Volume (down) 65 Issue Pages 24-34  
  Keywords Remote Sensing  
  Abstract Urban nighttime light hotspot is an ideal representation of the spatial heterogeneity of human activities within a city, which is sensitive to regional urban expansion pattern. However, most of previous studies related to nighttime light imageries focused on extracting urban extent, leaving the spatial variation of radiance intensity insufficiently explored. With the help of global radiance calibrated DMSP-OLS datasets (NTLgrc), we proposed an innovative framework to explore the spatio-temporal trajectory of polycentric urban nighttime light hotspots. Firstly, NTLgrc was inter-annually calibrated to improve the consistency. Secondly, multi-resolution segmentation and region-growing SVM classification were employed to remove blooming effect and to extract potential clusters. At last, the urban hotspots were identified by a Gaussian volume model, and the resulting parameters were used to quantitatively depict hotspot features (i.e., intensity, morphology and centroid dynamics). The result shows that our framework successfully captures hotspots in polycentric urban area, whose Ra2 are over 0.9. Meanwhile, the spatio-temporal dynamics of the hotspot features intuitively reveal the impact of the regional urban growth pattern and planning strategies on human activities. Compared to previous studies, our framework is more robust and offers an effective way to describe hotspot pattern. Also, it provides a more comprehensive and spatial-explicit understanding regarding the interaction between urbanization pattern and human activities. Our findings are expected to be beneficial to governors in term of sustainable urban planning and decision making.  
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  ISSN 0303-2434 ISBN Medium  
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  Call Number LoNNe @ kyba @ Serial 1771  
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Author Cianchetti-Benedetti, M.; Becciu, P.; Massa, B.; Dell’Omo, G. url  doi
openurl 
  Title Conflicts between touristic recreational activities and breeding shearwaters: short-term effect of artificial light and sound on chick weight Type Journal Article
  Year 2018 Publication European Journal of Wildlife Research Abbreviated Journal Eur J Wildl Res  
  Volume (down) 64 Issue 2 Pages  
  Keywords Animals; Society  
  Abstract Human disturbances are increasingly becoming a conservation concern for many populations of colonial seabirds. Colonially reproducing species are particularly vulnerable to localised disturbances because detrimental elements can simultaneously affect the entire population. Studies of petrels and shearwaters have shown that light pollution, in particular, can be harmful for both fledglings and adults, but little is known of the way such anthropogenic elements affect the quality of parental care at the nest. Chick provisioning in petrels and shearwaters occurs exclusively at night and is also negatively correlated with the amount of moonlight. We tested the hypothesis that high-intensity light and sound disturbances will disrupt nest attendance and thus affect weight gain in chicks but that the magnitude of such effects would be modulated by moonlight conditions. We measured the effect of two outdoor disco events on overnight weight gain in 26 chicks of Scopoli’s shearwaters (Calonectris diomedea) from a breeding colony on Linosa Island. The two disco events occurred under contrasting moonlight conditions (moonless vs moonlight). Chicks situated closer to the disturbance gained significantly less weight compared to conspecifics from nests further away but the effect was only evident on the moonless night.Our results suggest that light and sound disturbances can have a negative effect on parental care in C. diomedea but moonlight might moderate the bird’s perception and thus the magnitude of the disturbance. However, while occasional disturbances may impact short-term weight gain in C. diomedea chicks, such effects are not perceivable at fledging when measured as differences in the weight or the date at which they left the nest.  
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  ISSN 1612-4642 ISBN Medium  
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  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 1839  
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Author Tripathy, B.R.; Sajjad, H.; Elvidge, C.D.; Ting, Y.; Pandey, P.C.; Rani, M.; Kumar, P. url  doi
openurl 
  Title Modeling of Electric Demand for Sustainable Energy and Management in India Using Spatio-Temporal DMSP-OLS Night-Time Data Type Journal Article
  Year 2018 Publication Environmental Management Abbreviated Journal Environ Manage  
  Volume (down) 61 Issue 4 Pages 615-623  
  Keywords Remote Sensing  
  Abstract Changes in the pattern of electric power consumption in India have influenced energy utilization processes and socio-economic development to greater extent during the last few decades. Assessment of spatial distribution of electricity consumption is, thus, essential for projecting availability of energy resource and planning its infrastructure. This paper makes an attempt to model the future electricity demand for sustainable energy and its management in India. The nighttime light database provides a good approximation of availability of energy. We utilized defense meteorological satellite program-operational line-scan system (DMSP-OLS) nighttime satellite data, electricity consumption (1993-2013), gross domestic product (GDP) and population growth to construct the model. We also attempted to examine the sensitiveness of electricity consumption to GDP and population growth. The results revealed that the calibrated DMSP and model has provided realistic information on the electric demand with respect to GDP and population, with a better accuracy of r (2) = 0.91. The electric demand was found to be more sensitive to GDP (r = 0.96) than population growth (r = 0.76) as envisaged through correlation analysis. Hence, the model proved to be useful tool in predicting electric demand for its sustainable use and management.  
  Address Department of Geography, Jamia Millia Islamia, New Delhi, 110025, India. pavan.jamia@gmail.com  
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  ISSN 0364-152X ISBN Medium  
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  Notes PMID:29282533 Approved no  
  Call Number GFZ @ kyba @ Serial 2484  
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