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Rybnikova, N.; Stevens, R.G.; Gregorio, D.I.; Samociuk, H.; Portnov, B.A. |
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Title |
Kernel density analysis reveals a halo pattern of breast cancer incidence in Connecticut |
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2018 |
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Spatial and Spatio-temporal Epidemiology |
Abbreviated Journal |
Spatial and Spatio-temporal Epidemiology |
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26 |
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143-151 |
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Human Health; Remote Sensing |
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Abstract |
Breast cancer (BC) incidence rates in Connecticut are among the highest in the United States, and are unevenly distributed within the state. Our goal was to determine whether artificial light at night (ALAN) played a role. Using BC records obtained from the Connecticut Tumor Registry, we applied the double kernel density (DKD) estimator to produce a continuous relative risk surface of a disease throughout the State. A multi-variate analysis compared DKD and census track estimates with population density, fertility rate, percent of non-white population, population below poverty level, and ALAN levels. The analysis identified a “halo” geographic pattern of BC incidence, with the highest rates of the disease observed at distances 5-15 km from the state's major cities. The “halo” was of high-income communities, with high ALAN, located in suburban fringes of the state's main cities. |
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1877-5845 |
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GFZ @ kyba @ |
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1961 |
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Morelli, F.; Mikula, P.; Benedetti, Y.; Bussière, R.; Tryjanowski, P. |
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Title |
Cemeteries support avian diversity likewise urban parks in European cities: Assessing taxonomic, evolutionary and functional diversity |
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Journal Article |
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2018 |
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Urban Forestry & Urban Greening |
Abbreviated Journal |
Urban Forestry & Urban Greening |
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36 |
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90-99 |
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Keywords |
Animals; Ecology |
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The aim of this study was to explore different components of avian diversity in two types of urban green areas, parks and cemeteries, in four European countries in relation to environmental characteristics. We studied bird species richness, functional diversity and evolutionary distinctiveness in 79 parks and 90 cemeteries located in four European countries: the Czech Republic, France, Italy and Poland.
First, we found no significant differences between cemeteries and parks in bird diversity. However, in both parks and cemeteries, only: two community metrics were affected by different environmental characteristics, including local vegetation structure and presence of human-related structures. Species richness was positively correlated with tree coverage and site size, functional diversity was unrelated to any of the measured variables, while the mean evolutionary distinctiveness score was positively correlated with tree coverage and negatively associated with the coverage of flowerbeds and number of street lamps.
Our findings can be useful for urban planning: by increasing tree coverage and site size it is possible to increase both taxonomic richness and evolutionary uniqueness of bird communities. In both parks and cemeteries, the potential association between light pollution and bird species richness was negligible. We also identified some thresholds where bird diversity was higher. Bird species richness was maximized in parks/cemeteries larger than 1.4 ha, with grass coverage lower than 65%. The evolutionary uniqueness of bird communities was higher in areas with tree coverage higher than 45%. In conclusion, the findings of this study provide evidence that cemeteries work similarly than urban parks supporting avian diversity. |
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1618-8667 |
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GFZ @ kyba @ |
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2141 |
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Schuler, L.D.; Schatz, R.; Berweger, C.D. |
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Title |
From global radiance to an increased local political awareness of light pollution |
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Journal Article |
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2018 |
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Environmental Science & Policy |
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Environmental Science & Policy |
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89 |
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142-152 |
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Remote Sensing; Public Safety; Animals |
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We present a novel transparent method to analyze measurements of the Suomi NPP (Suomi National Polar-orbiting Partnership) satellite in night vision, into luminous intensity and luminance on the community level, with a special focus to address light planners and non-experts, and for the first time, to further address politicians, decision-makers and law-makers, and governmental agencies. We checked the propagated efficiency of road lighting and its impact on luminous flux, and identified a waste of light emissions in the largest city of Switzerland, Zurich. We looked at security (issues like criminal acts) and found no correlation with communities’ luminous intensity. We assessed road safety (accidents) against local luminance and found no evidence of darkness being more risky when the overall distribution of illuminance on roads is considered. We screened crayfish habitats in the Canton of Zurich against local illuminance and found clear evidence of preferred darkness for the living. Based on this finding, we propose an upper limit for light immissions in the crayfish habitats. These four analyses have been chosen to demonstrate the usefulness of Suomi NPP's coverage in combination with our approach. We could apply it to ecological, social and economical topics. We hope others will follow and we can draw more attention of governments to take action to reduce the light pollution on local levels, like Langnau am Albis of Switzerland has exemplified. |
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1462-9011 |
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GFZ @ kyba @ |
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1965 |
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Firebaugh, A.; Haynes, K.J. |
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Title |
Light pollution may create demographic traps for nocturnal insects |
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2018 |
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Basic and Applied Ecology |
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Basic and Applied Ecology |
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34 |
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118-125 |
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Animals |
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Light pollution impacts both intra- and inter-specific interactions, such as interactions between mates and predator–prey interactions. In mobile organisms attracted to artificial lights, the effect of light pollution on these interactions may be intensified. If organisms are repelled by artificial lights, effects of light pollution on intra- and inter-specific interactions may be diminished as organisms move away. However, organisms repelled by artificial lights would likely lose suitable habitat as light pollution expands. Thus, we investigated how light pollution affects both net attraction or repulsion of organisms and effects on intra- and inter-specific interactions. In manipulative field studies using fireflies, we found that Photuris versicolor and Photinus pyralis fireflies were lured to artificial (LED) light at night and that both species were less likely to engage in courtship dialogues (bioluminescent flashing) in light-polluted field plots. Light pollution also lowered the mating success of P. pyralis. P. versicolor is known to prey upon P. pyralis by mimicking the flash patterns of P. pyralis, but we did not find an effect of light pollution on Photuris–Photinus predator–prey interactions. Our study suggests, that for some nocturnal insects, light-polluted areas may act as demographic traps, i.e., areas where immigration exceeds emigration and inhibition of courtship dialogues and mating reduces reproduction. Examining multiple factors affecting population growth in concert is needed to understand and mitigate impacts of light pollution on wildlife. |
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1439-1791 |
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GFZ @ kyba @ |
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1978 |
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Author |
Zhao, N.; Cao, G.; Zhang, W.; Samson, E.L. |
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Title |
Tweets or nighttime lights: Comparison for preeminence in estimating socioeconomic factors |
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Journal Article |
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Year |
2018 |
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ISPRS Journal of Photogrammetry and Remote Sensing |
Abbreviated Journal |
ISPRS Journal of Photogrammetry and Remote Sensing |
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146 |
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1-10 |
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Remote Sensing |
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Nighttime lights (NTL) imagery is one of the most commonly used tools to quantitatively study socioeconomic systems over large areas. In this study we aim to use location-based social media big data to challenge the primacy of NTL imagery on estimating socioeconomic factors. Geo-tagged tweets posted in the contiguous United States in 2013 were retrieved to produce a tweet image with the same spatial resolution of the NTL imagery (i.e., 0.00833° × 0.00833°). Sum tweet (the total number of tweets) and sum light (summed DN value of the NTL image) of each state or county were obtained from the tweets and the NTL images, respectively, to estimate three important socioeconomic factors: personal income, electric power consumption, and fossil fuel carbon dioxide emissions. Results show that sum tweet is a better measure of personal income and electric power consumption while carbon dioxide emissions can be more accurately estimated by sum light. We further exploited that African-Americans adults are more likely than White seniors to post geotagged tweets in the US, yet did not find any significant correlations between proportions of the subpopulations and the estimation accuracy of the socioeconomic factors. Existence of saturated pixels and blooming effects and failure to remove gas flaring reduce quality of NTL imagery in estimating socioeconomic factors, however, such problems are nonexistent in the tweet images. This study reveals that the number of geo-tagged tweets has great potential to be deemed as a substitute of brightness of NTL to assess socioeconomic factors over large geographic areas. |
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0924-2716 |
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GFZ @ kyba @ |
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1994 |
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