The Experts below are selected from a list of 300 Experts worldwide ranked by ideXlab platform
W. Piromalli - One of the best experts on this subject based on the ideXlab platform.
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Environmental and personal monitoring of exposure to urban noise and Community Response
European Journal of Epidemiology, 1994Co-Authors: Pompei Orlando, F. Perdelli, Maria Luisa Cristina, W. PiromalliAbstract:Noise exposure of a population sample living in a city in northern Italy (Genoa) was assessed by measuring the noise in the area as well as with personal sound detectors. Sampling was conducted during a standard day and covered a period of time spent out-of-doors, at work (service sector) and at home. Ambient noise at home and at work was assessed with sound-level meters, personal exposure levels were assessed with personal sound-level/dosimeters. Information regarding each environment was obtained with an interview including also a subjective judgement on traffic intensity and noise levels. The mean individual equivalent continuous sound level (Leq) of recorded noise was 74.5 dB(A) for 24 h and 63.9 dB(A) at night. A further distinction was made between noise exposure at home (Leq 74.4), work (Leq 74.0) and during city transfers (Leq 79.3). Leq values for individual hours, Leq daytime (Leq, d), Leq nighttime (Leq,n) and Leq day-night (Ldn) indices calculated in the different environments, i.e. at work, home and out-of-doors, are reported here. Individual noise levels have then been compared with environmental data and with subjective noise exposure judgement.
Christy E. Briles - One of the best experts on this subject based on the ideXlab platform.
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Bee Community Response to local and landscape factors along an urban-rural gradient
Urban Ecosystems, 2020Co-Authors: Kristen R. Birdshire, Adrian L. Carper, Christy E. BrilesAbstract:Over a third of the world’s crops require insect pollination, and reliance on pollination services for food continues to rise as human populations increase. Furthermore, as interest in urban agriculture has grown, so has a need for studies of urban pollinator ecology and pollination. Analyzing pollinator assemblages along a rural-urban gradient provides powerful mechanistic insight into how urbanization impacts pollinators. Yet, studies examining pollinators along urban-rural gradients are limited and results vary. Since pollinators vary tremendously in life history characteristics and respond to urbanization differently, studies from different regions would improve our understanding of pollinator Response to urbanization. This study documents different bee assemblages along a high-plains semi-arid urban-rural gradient in Denver, Colorado, USA. Percent impervious surface was used to define the extent of urbanization at 12 sites and local and landscape characteristics were estimated using field assessments and geospatial analysis. Wild bees were collected and the relationships between urbanization and bee communities were explored using linear modeling. Overall, bee abundance and diversity decreased with increasing urbanization, suggesting that urban areas negatively impact bee communities. However, all bee guilds responded positively to local floral richness and negatively to the degree of landscape urbanization, suggesting that different types of bees responded similarly to urbanization. These findings suggest that providing a greater diversity of floral resources is key to mitigating the negative impacts of urbanization on pollinator communities.
Mark V Brown - One of the best experts on this subject based on the ideXlab platform.
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core sediment bacteria drive Community Response to anthropogenic contamination over multiple environmental gradients
Environmental Microbiology, 2013Co-Authors: Katherine A Dafforn, Emma L Johnston, Mark V BrownAbstract:Summary In this study, 454 pyrosequencing of the 16S rRNA gene was used to investigate sediment bacterial Community Response to contaminant disturbance across six estuaries with differing levels of ‘modification’. We observed a significant influence of metal and polycyclic aromatic hydrocarbon contaminants in shaping bacterial Community composition, structure and diversity, with metals being the more influential contaminant. An abundant and pervasive ‘core’ set of bacteria found in every sample were largely responsible for mediating Community Response to contamination. These 13 core operational taxonomic units were mostly comprised of Gamma-, Delta-, Alphaproteobacteria and Acidobacteria. Sediment silt and metals together explained the most variation in bacterial Community composition (19.7%). Following this strong contaminant signature, salinity and temperature represented important environmental variables predicting 10.9% of Community variation. While overall network connectivity measures supported the idea of an inherently diverse soil microbiome with some degree of functional redundancy, lower values observed in contaminated sediments indicate potential structural perturbations in the Community from fracturing or loss of bacterial associations. The large number of unclassified sequences obtained in this study contribute to improving our understanding of environmentally relevant strains in relation to anthropogenic contamination, which have been overlooked in laboratory studies.
Lea Winerman - One of the best experts on this subject based on the ideXlab platform.
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social networking crisis communication
Nature, 2009Co-Authors: Lea WinermanAbstract:Messages appear on Internet-based social networks within minutes of disasters occurring. Lea Winerman investigates how to harness this trend to create official Community-Response grids.
Pompei Orlando - One of the best experts on this subject based on the ideXlab platform.
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Environmental and personal monitoring of exposure to urban noise and Community Response
European Journal of Epidemiology, 1994Co-Authors: Pompei Orlando, F. Perdelli, Maria Luisa Cristina, W. PiromalliAbstract:Noise exposure of a population sample living in a city in northern Italy (Genoa) was assessed by measuring the noise in the area as well as with personal sound detectors. Sampling was conducted during a standard day and covered a period of time spent out-of-doors, at work (service sector) and at home. Ambient noise at home and at work was assessed with sound-level meters, personal exposure levels were assessed with personal sound-level/dosimeters. Information regarding each environment was obtained with an interview including also a subjective judgement on traffic intensity and noise levels. The mean individual equivalent continuous sound level (Leq) of recorded noise was 74.5 dB(A) for 24 h and 63.9 dB(A) at night. A further distinction was made between noise exposure at home (Leq 74.4), work (Leq 74.0) and during city transfers (Leq 79.3). Leq values for individual hours, Leq daytime (Leq, d), Leq nighttime (Leq,n) and Leq day-night (Ldn) indices calculated in the different environments, i.e. at work, home and out-of-doors, are reported here. Individual noise levels have then been compared with environmental data and with subjective noise exposure judgement.
