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Author |
C-Sanchez, E.; Sanchez-Medina, A.J.; Alonso-Hernandez, J.B.; Voltes-Dorta, A. |
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Title  |
Astrotourism and Night Sky Brightness Forecast: First Probabilistic Model Approach |
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Journal Article |
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Year |
2019 |
Publication |
Sensors (Basel, Switzerland) |
Abbreviated Journal |
Sensors (Basel) |
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Volume |
19 |
Issue |
13 |
Pages |
2840 |
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Keywords |
Society; Astrotourism; Skyglow; night sky brightness; artificial neural networks |
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Celestial tourism, also known as astrotourism, astronomical tourism or, less frequently, star tourism, refers to people's interest in visiting places where celestial phenomena can be clearly observed. Stars, skygazing, meteor showers or comets, among other phenomena, arouse people's interest, however, good night sky conditions are required to observe such phenomena. From an environmental point of view, several organisations have surfaced in defence of the protection of dark night skies against light pollution, while from an economic point of view; the idea also opens new possibilities for development in associated areas. The quality of dark skies for celestial tourism can be measured by night sky brightness (NSB), which is used to quantify the visual perception of the sky, including several light sources at a specific point on earth. The aim of this research is to model the nocturnal sky brightness by training and testing a probabilistic model using real NSB data. ARIMA and artificial neural network models have been applied to open NSB data provided by the Globe at Night international programme, with the results of this first model approach being promising and opening up new possibilities for astrotourism. To the best of the authors' knowledge, probabilistic models have not been applied to NSB forecasting. |
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Management Science and Business Economics Group, University of Edinburgh Business School, Edinburgh EH8 9JS, UK |
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1424-8220 |
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PMID:31247919 |
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GFZ @ kyba @ |
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2571 |
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Author |
Wickham, D.A. |
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Title |
Attracting and Controlling Coastal Pelagic Fish with Nightlights |
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Journal Article |
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Year |
1973 |
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Transactions of the American Fisheries Society |
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Transactions of the American Fisheries Society |
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102 |
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4 |
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816-825 |
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Keywords |
Animals |
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Field experiments were conducted in the northeastern Gulf of Mexico to evaluate techniques for using sequentially‐operated lamp strings and moving lamps to lead and concentrate light‐attracted coastal pelagic fishes. Fish were successfully led between sequentially‐operated under‐water lamps separated by distances up to 20 meters. Mobile lamps were used to lead fish distances up to approximately 1 kilometer. Fish aggregations which form daily around man‐made structures were held after dark and led clear with moving lamps for capture by purse seine. A combination of nightlighting and man‐made structure fish attraction techniques are proposed for harvesting coastal pelagic fish aggregations which occur around existing petroleton drilling platforms, well heads, and other areas presently inaccessible to conventional fishing gear. |
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0002-8487 |
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GFZ @ kyba @ |
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2452 |
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Cochran, W.W.; Graber, R.R. |
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Title |
Attraction of nocturnal migrants by lights on a television tower |
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1958 |
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The Wilson Bulletin |
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70 |
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4 |
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378-380 |
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Animals; Birds |
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GFZ @ kyba @ |
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2429 |
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Rebke, M.; Dierschke, V.; Weiner, C.N.; Aumüller, R.; Hill, K.; Hill, R. |
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Title |
Attraction of nocturnally migrating birds to artificial light: The influence of colour, intensity and blinking mode under different cloud cover conditions |
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Journal Article |
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2019 |
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Biological Conservation |
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Biological Conservation |
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233 |
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220-227 |
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Animals |
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A growing number of offshore wind farms have led to a tremendous increase in artificial lighting in the marine environment. This study disentangles the connection of light characteristics, which potentially influence the reaction of nocturnally migrating passerines to artificial illumination under different cloud cover conditions. In a spotlight experiment on a North Sea island, birds were exposed to combinations of light colour (red, yellow, green, blue, white), intensity (half, full) and blinking mode (intermittent, continuous) while measuring their number close to the light source with thermal imaging cameras.
We found that no light variant was constantly avoided by nocturnally migrating passerines crossing the sea. The number of birds did neither differ between observation periods with blinking light of different colours nor compared to darkness. While intensity did not influence the number attracted, birds were drawn more towards continuous than towards blinking illumination, when stars were not visible. Red continuous light was the only exception that did not differ from the blinking counterpart. Continuous green, blue and white light attracted significantly more birds than continuous red light in overcast situations.
Our results suggest that light sources offshore should be restricted to a minimum, but if lighting is needed, blinking light is to be preferred over continuous light, and if continuous light is required, red light should be applied. |
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0006-3207 |
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GFZ @ kyba @ |
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2255 |
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Gaydecki, P. |
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Title |
Automated moth flight analysis in the vicinity of artificial light |
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Journal Article |
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2018 |
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Bulletin of Entomological Research |
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Bull Entomol Res |
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109 |
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1 |
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127-140 |
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Keywords |
Instrumentation; Animals |
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Instrumentation and software for the automated analysis of insect flight trajectories is described, intended for quantifying the behavioural dynamics of moths in the vicinity of artificial light. For its time, this moth imaging system was relatively advanced and revealed hitherto undocumented insights into moth flight behaviour. The illumination source comprised a 125 W mercury vapour light, operating in the visible and near ultraviolet wavelengths, mounted on top of a mobile telescopic mast at heights of 5 and 7.1 m, depending upon the experiment. Moths were imaged in early September, at night and in field conditions, using a ground level video camera with associated optics including a heated steering mirror, wide angle lens and an electronic image intensifier. Moth flight coordinates were recorded at a rate of 50 images per second (fields) and transferred to a computer using a light pen (the only non-automated operation in the processing sequence). Software extracted ground speed vectors and, by instantaneous subtraction of wind speed data supplied by fast-response anemometers, the airspeed vectors. Accumulated density profiles of the track data revealed that moths spend most of their time at a radius of between 40 and 50 cm from the source, and rarely fly directly above it, from close range. Furthermore, the proportion of insects caught by the trap as a proportion of the number influenced by the light (and within the field of view of the camera) was very low; of 1600 individual tracks recorded over five nights, a total of only 12 were caught. Although trap efficiency is strongly dependent on trap height, time of night, season, moonlight and weather, the data analysis confirmed that moths do not exhibit straightforward positive phototaxis. In general, trajectory patterns become more complex with reduced distance from the illumination, with higher recorded values of speeds and angular velocities. However, these characteristics are further qualified by the direction of travel of the insect; the highest accelerations tended to occur when the insect was at close range, but moving away from the source. Rather than manifesting a simple positive phototaxis, the trajectories were suggestive of disorientation. Based on the data and the complex behavioural response, mathematical models were developed that described ideal density distribution in calm air and light wind speed conditions. The models did not offer a physiological hypothesis regarding the behavioural changes, but rather were tools for quantification and prediction. Since the time that the system was developed, instrumentation, computers and software have advanced considerably, allowing much more to be achieved at a small fraction of the original cost. Nevertheless, the analytical tools remain useful for automated trajectory analysis of airborne insects. |
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School of Electrical and Electronic Engineering, University of Manchester,Manchester M13 9PL,UK |
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English |
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0007-4853 |
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PMID:29745349 |
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GFZ @ kyba @ |
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1895 |
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