61,943 research outputs found
Water Consumption and Long-Run Urban Development: The Case of Milan
Analyses of long run consumption series are rare in literature. We study the evolution of water consumption in Milan in the twentieth century. The objective is twofold: on one side, the univariate analysis tries both to assess the impact of relevant socio-economic and environmental changes on water consumption in Milan and verify if consumers have deeply rooted consumption habits. On the other side, the multivariate analysis is used to identify the socio-economic factors that are relevant in explaining consumption evolution. Results indicate both that water users have well entrenched consumption habits and that population, climate and economic structure behave more similarly, in Euclidean terms, to water consumption than to other economic and social variables.Urban consumption, Long-run, Development, Environmental changes
Community noise
Airport and community land use planning as they relate to airport noise reduction are discussed. Legislation, community relations, and the physiological effect of airport noise are considered. Noise at the Logan, Los Angeles, and Minneapolis/St. Paul airports is discussed
Local Environmental Quality and Life-Satisfaction in Germany
Hitherto the task of valuing differences in environmental quality arising from air pollution and noise nuisance has been carried out mainly by using the hedonic price technique. This paper proposes a different approach to deriving information on individual preferences for local environmental quality. It analyses data drawn from the German socio economic panel in an attempt to explain differences in self-reported levels of well-being in terms of environmental quality. Mindful of existing research a large number of other explanatory variables are included to control for socio-demographic differences, economic circumstances as well as neighbourhood characteristics. Differences in local air quality and noise levels are measured by how much an individual feels affected by air pollution or noise exposure in their residential area. The evidence suggests that even when controlling for a range of other factors higher local air pollution and noise levels significantly diminish subjective well-being. But interestingly differences in perceived air and noise pollution are not capitalised into differences in house prices.air pollution, environmental quality, Germany, life-satisfaction, noise exposure, well-being
How self-regulation, the storage effect and their interaction contribute to coexistence in stochastic and seasonal environments
Explaining coexistence in species-rich communities of primary producers
remains a challenge for ecologists because of their likely competition for
shared resources. Following Hutchinson's seminal suggestion, many theoreticians
have tried to create diversity through a fluctuating environment, which impairs
or slows down competitive exclusion. However, fluctuating-environment models
often only produce a dozen of coexisting species at best. Here, we investigate
how to create richer communities in fluctuating environments, using an
empirically parameterized model. Building on the forced Lotka-Volterra model of
Scranton and Vasseur (Theor Ecol 9(3):353-363, 2016), inspired by phytoplankton
communities, we have investigated the effect of two coexistence mechanisms,
namely the storage effect and higher intra- than interspecific competition
strengths (i.e., strong self-regulation). We tuned the intra/inter competition
ratio based on empirical analyses, in which self-regulation dominates
interspecific interactions. Although a strong self-regulation maintained more
species (50%) than the storage effect (25%), we show that none of the two
coexistence mechanisms considered could ensure the coexistence of all species
alone. Realistic seasonal environments only aggravated that picture, as they
decreased persistence relative to a random environment. However, strong
self-regulation and the storage effect combined superadditively so that all
species could persist with both mechanisms at work. Our results suggest that
combining different coexistence mechanisms into community models might be more
fruitful than trying to find which mechanism best explains diversity. We
additionally highlight that while biomass-trait distributions provide some
clues regarding coexistence mechanisms, they cannot indicate unequivocally
which mechanisms are at play.Comment: 27 pages, 9 figures, Theor Ecol (2019
Noise control and utility: From regulatory network to spatial patterning
Stochasticity (or noise) at cellular and molecular levels has been observed
extensively as a universal feature for living systems. However, how living
systems deal with noise while performing desirable biological functions remains
a major mystery. Regulatory network configurations, such as their topology and
timescale, are shown to be critical in attenuating noise, and noise is also
found to facilitate cell fate decision. Here we review major recent findings on
noise attenuation through regulatory control, the benefit of noise via
noise-induced cellular plasticity during developmental patterning, and
summarize key principles underlying noise control
Recommended from our members
Epidemic dynamics of respiratory syncytial virus in current and future climates.
A key question for infectious disease dynamics is the impact of the climate on future burden. Here, we evaluate the climate drivers of respiratory syncytial virus (RSV), an important determinant of disease in young children. We combine a dataset of county-level observations from the US with state-level observations from Mexico, spanning much of the global range of climatological conditions. Using a combination of nonlinear epidemic models with statistical techniques, we find consistent patterns of climate drivers at a continental scale explaining latitudinal differences in the dynamics and timing of local epidemics. Strikingly, estimated effects of precipitation and humidity on transmission mirror prior results for influenza. We couple our model with projections for future climate, to show that temperature-driven increases to humidity may lead to a northward shift in the dynamic patterns observed and that the likelihood of severe outbreaks of RSV hinges on projections for extreme rainfall
Genetic noise control via protein oligomerization
Gene expression in a cell entails random reaction events occurring over
disparate time scales. Thus, molecular noise that often results in phenotypic
and population-dynamic consequences sets a fundamental limit to biochemical
signaling. While there have been numerous studies correlating the architecture
of cellular reaction networks with noise tolerance, only a limited effort has
been made to understand the dynamic role of protein-protein interactions. Here
we have developed a fully stochastic model for the positive feedback control of
a single gene, as well as a pair of genes (toggle switch), integrating
quantitative results from previous in vivo and in vitro studies. We find that
the overall noise-level is reduced and the frequency content of the noise is
dramatically shifted to the physiologically irrelevant high-frequency regime in
the presence of protein dimerization. This is independent of the choice of
monomer or dimer as transcription factor and persists throughout the multiple
model topologies considered. For the toggle switch, we additionally find that
the presence of a protein dimer, either homodimer or heterodimer, may
significantly reduce its random switching rate. Hence, the dimer promotes the
robust function of bistable switches by preventing the uninduced (induced)
state from randomly being induced (uninduced). The specific binding between
regulatory proteins provides a buffer that may prevent the propagation of
fluctuations in genetic activity. The capacity of the buffer is a non-monotonic
function of association-dissociation rates. Since the protein oligomerization
per se does not require extra protein components to be expressed, it provides a
basis for the rapid control of intrinsic or extrinsic noise
Unequal residential exposure to air pollution and noise : a geospatial environmental justice analysis for Ghent, Belgium
Following the growing empirical evidence on the health effects of air pollution and noise, the fair distribution of these impacts receives increasing attention. The existing environmental inequality studies often focus on a single environmental impact, apply a limited range of covariates or do not correct for spatial autocorrelation. This article presents a geospatial data analysis on Ghent (Belgium), combining residential exposure to air pollution and noise with socioeconomic variables and housing variables. The global results show that neighborhoods with lower household incomes, more unemployment, more people of foreign origin, more rental houses, and higher residential mobility, are more exposed to air pollution, but not to noise. Multiple regression models to explain exposure to air pollution show that residential mobility and percentage of rental houses are the strongest predictors, stressing the role of the housing market in explaining which people are most at risk. Applying spatial regression models leads to better models but reduces the importance of all covariates, leaving income and residential mobility as the only significant predictors for air pollution exposure. While traditional multiple regression models were not significant for explaining noise exposure, spatial regression models were, and also indicate the significant contribution of income to the model. This means income is a robust predictor for both air pollution and noise exposure across the whole urban territory. The results provide a good starting point for discussions about environmental justice and the need for policy action. The study also underlines the importance of taking spatial autocorrelation into account when analyzing environmental inequality
- …