[Maritime climate therapy. Maritime climate therapy in endogenous eczema. The importance of maritime climate therapy in endogenous eczema in comparison with other climates].
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No previous investigations are available on climatic influences on the performance in cattle production in the Syrian Arab Republic. The reports found in the literature on the effect of the climate, especially of temperature and atmospheric moisture, are classified into physiological compatibility ranges for cattle. This makes it possible to compare different climatic regions. In the second part of the paper the values found for temperature and moisture in an experimental cowshed in the SAR will be assessed.
Whereas the El Niño Southern Oscillation (ENSO) affects weather and climate variability worldwide, the North Atlantic Oscillation (NAO) represents the dominant climate pattern in the North Atlantic region. Both climate systems have been demonstrated to considerably influence ecological processes. Several other large-scale climate patterns also exist. Although less well known outside the field of climatology, these patterns are also likely to be of ecological interest. We provide an overview of these climate patterns within the context of the ecological effects of climate variability. The application of climate indices by definition reduces complex space and time variability into simple measures, 'packages of weather'. The disadvantages of using global climate indices are all related to the fact that another level of problems are added to the ecology-climate interface, namely the link between global climate indices and local climate. We identify issues related to: (i) spatial variation; (ii) seasonality; (iii) non-stationarity; (iv) nonlinearity; and (v) lack of correlation in the relationship between global and local climate. The main advantages of using global climate indices are: (i) biological effects may be related more strongly to global indices than to any single local climate variable; (ii) it helps to avoid problems of model selection; (iii) it opens the possibility for ecologists to make predictions; and (iv) they are typically readily available on Internet.
Climate strength was conceptualized within D. Chan's (1998) discussion of compositional models and the concept of culture strength from the organizational culture literature. Climate strength was operationalized in terms of within-group variability in climate perceptions-the less within-group variability, the stronger the climate. The authors studied climate strength in the context of research linking employee service climate perceptions to customer satisfaction. The hypothesis was tested that climate strength moderates the relationship between employee perceptions of service climate and customer satisfaction experiences. Partial support for the hypothesis was reported in both a concurrent and predictive (3-year) test across 118 branches of a bank. In the predictive study only the interaction of climate and climate strength predicted customer satisfaction. Implications for future research on climate and climate strength are discussed.
Organizational climates have been investigated separately at organization and subunit levels. This article tests a multilevel model of safety climate, covering both levels of analysis. Results indicate that organization-level and group-level climates are globally aligned, and the effect of organization climate on safety behavior is fully mediated by group climate level. However, the data also revealed meaningful group-level variation in a single organization, attributable to supervisory discretion in implementing formal procedures associated with competing demands like safety versus productivity. Variables that limit supervisory discretion (i.e., organization climate strength and procedural formalization) reduce both between-groups climate variation and within-group variability (i.e., increased group climate strength), although effect sizes were smaller than those associated with cross-level climate relationships. Implications for climate theory are discussed.
We propose an index of climate change based on practical climate indicators such as heating degree days and the frequency of intense precipitation. We find that in most regions the index is positive, the sense predicted to accompany global warming. In a few regions, especially in Asia and western North America, the index indicates that climate change should be apparent already, but in most places climate trends are too small to stand out above year-to-year variability. The climate index is strongly correlated with global surface temperature, which has increased as rapidly as projected by climate models in the 1980s. We argue that the global area with obvious climate change will increase notably in the next few years. But we show that the growth rate of greenhouse gas climate forcing has declined in recent years, and thus there is an opportunity to keep climate change in the 21st century less than "business-as-usual" scenarios.
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Detailed investigations of high latitude sequences recently collected by the Ocean Drilling Program (ODP) indicate that periods of rapid climate change often culminated in brief transient climates, with more extreme conditions than subsequent long term climates. Two examples of such events have been identified in the Paleogene; the first in latest Paleocene time in the middle of a warming trend that began several million years earlier: the second in earliest Oligocene time near the end of a Middle Eocene to Late Oligocene global cooling trend. Superimposed on the earlier event was a sudden and extreme warming of both high latitude sea surface and deep ocean waters. Imbedded in the latter transition was an abrupt decline in high latitude temperatures and the brief appearance of a full size continental ice-sheet on Antarctica. In both cases the climate extremes were not stable, lasting for less than a few hundred thousand years, indicating a temporary or transient climate state. Geochemical and sedimentological evidence suggest that both Paleogene climate events were accompanied by reorganizations in ocean circulation, and major perturbations in marine productivity and the global carbon cycle. The Paleocene-Eocene thermal maximum was marked by reduced oceanic turnover and decreases in global delta 13C and in marine productivity, while the Early Oligocene glacial maximum was accompanied by intensification of deep ocean circulation and elevated delta 13C and productivity. It has been suggested that sudden changes in climate and/or ocean circulation might occur as a result of gradual forcing as certain physical thresholds are exceeded. We investigate the possibility that sudden reorganizations in ocean and/or atmosphere circulation during these abrupt transitions generated short-term positive feedbacks that briefly sustained these transient climatic states.
Palaeobiologists have investigated the evolutionary responses to extinct organisms to climate change, and have also used extinct organisms to reconstruct palaeoclimates. There is evidence of a disconnection between climate change and evolution that suggest that organism may not be accurate paleoclimate indicators. Here, marmots (Marmota sp.) are used as a case study to examine whether similarity of climate preferences is correlated with evolutionary relatedness of species. This study tests for a relationship between phylogenetic distance and 'climate distance' of species with a clade. There should be a significant congruence between maximus likelihood distance and standardized Euclidian distance between climates if daughter species tend to say in environments similar to parent species. Marmots make a good test case because there are many extant species, their phylogenetics are well established and individual survival is linked to climatic factors. A Mantel test indicates a significant correlation between climate and phylogenetic distance matrices, but this relationship explains only a small fraction of the variance (regression R(2) = 0.114). These results that (i) closely related species of marmots tend to stay in similar environments; (ii) marmots may be more susceptible than may mammals to global climate change; and (iii) because of the considerable noise in this system, the correlation cannot be used for detailed palaeoclimate reconstruction.
That we are in a period of extraordinary rates of climate change is today evident. These climate changes are likely to impact local weather conditions with direct impacts on precipitation patterns and urban drainage. In recent years several studies have focused on revealing the nature, extent and consequences of climate change on urban drainage and urban runoff pollution issues. This study uses predictions from a regional climate model to look at the effects of climate change on extreme precipitation events. Results are presented in terms of point rainfall extremes. The analysis involves three steps: Firstly, hourly rainfall intensities from 16 point rain gauges are averaged to create a rain gauge equivalent intensity for a 25 x 25 km square corresponding to one grid cell in the climate model. Secondly, the differences between present and future in the climate model is used to project the hourly extreme statistics of the rain gauge surface into the future. Thirdly, the future extremes of the square surface area are downscaled to give point rainfall extremes of the future. The results and conclusions rely heavily on the regional model's suitability in describing extremes at timescales relevant to urban drainage. However, in spite of these uncertainties, and others raised in the discussion, the tendency is clear: extreme precipitation events effecting urban drainage and causing flooding will become more frequent as a result of climate change.
Building on recent work in occupational safety and climate, the authors examined 2 organizational foundation climates thought to be antecedents of specific safety climate and the relationships among these climates and occupational accidents. It is believed that both foundation climates (i.e., management-employee relations and organizational support) will predict safety climate, which will in turn mediate the relationship between occupational accidents and these 2 distal foundation climates. Using a sample of 9,429 transportation workers in 253 work groups, the authors tested the proposed relationships at the group level. Results supported all hypotheses. Overall it appears that different climates have direct and indirect effects on occupational accidents.
Research has shown that climate quality (average climate ratings) is related to organizational antecedents and outcomes, but researchers have yet to examine climate consensus (the variance of climate ratings). Similarly, studies have investigated typical behavior (members' average performance), but have neglected behavioral similarity (within-group variance). Data from 1,196 members in 180 organizations were used to test relationships of climate quality and consensus with organizational antecedents and outcomes. Climate quality and consensus both had significant correlations with organizational antecedents and outcomes, but climate consensus did not contribute a significant increment to the prediction of organizational outcomes. Finally, quality mediated many relationships between organizational antecedents and outcomes.
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The potential impacts of climate change on human health are significant, ranging from direct effects such as heat stress and flooding, to indirect influences including changes in disease transmission and malnutrition in response to increased competition for crop and water resources. Development agencies and policy makers tasked with implementing adaptive strategies recognize the need to plan for these impacts. However at present there is little guidance on how to prioritize their funding to best improve the resilience of vulnerable communities. Here we address this issue by arguing that closer collaboration between the climate modelling and health communities is required to provide the focused information necessary to best inform policy makers. The immediate requirement is to create multidisciplinary research teams bringing together skills in both climate and health modelling. This will enable considerable information exchange, and closer collaboration will highlight current uncertainties and hopefully routes to their reduction. We recognize that climate is only one aspect influencing the highly complex behaviour of health and disease issues. However we are optimistic that climate-health model simulations, including uncertainty bounds, will provide much needed estimates of the likely impacts of climate change on human health.
This article presents and tests a group-level model of safety climate to supplement the available organization-level model. Climate perceptions in this case are related to supervisory safety practices rather than to company policies and procedures. The study included 53 work groups in a single manufacturing company. Safety climate perceptions, measured with a newly developed scale, revealed both within-group homogeneity and between-groups variation. Predictive validity was measured with a new outcome measure, microaccidents, that refers to behavior-dependent on-the-job minor injuries requiring medical attention. Climate perceptions significantly predicted microaccident records during the 5-month recording period that followed climate measurement, when the effects of group- and individual-level risk factors were controlled. The study establishes an empirical link between safety climate perceptions and objective injury data.
The present study integrates role theory, social exchange, organizational citizenship, and climate research to suggest that employees will reciprocate implied obligations of leadership-based social exchange (e.g., leader-member exchange [LMX]) by expanding their role and behaving in ways consistent with contextual behavioral expectations (e.g., work group climate). Using safety climate as an exemplar, the authors found that the relationship between LMX and subordinate safety citizenship role definitions was moderated by safety climate. In summary, high-quality LMX relationships resulted in expanded safety citizenship role definitions when there was a positive safety climate and there was no such expansion under less positive safety climates. The authors also found that safety citizenship role definitions were significantly related to safety citizenship behavior. Implications for both social exchange theory and safety research are discussed.
We derive joint probability density distributions for three key uncertain properties of the climate system, using an optimal fingerprinting approach to compare simulations of an intermediate complexity climate model with three distinct diagnostics of recent climate observations. On the basis of the marginal probability distributions, the 5 to 95% confidence intervals are 1.4 to 7.7 kelvin for climate sensitivity and -0.30 to -0.95 watt per square meter for the net aerosol forcing. The oceanic heat uptake is not well constrained, but ocean temperature observations do help to constrain climate sensitivity. The uncertainty in the net aerosol forcing is much smaller than the uncertainty range for the indirect aerosol forcing alone given in the Intergovernmental Panel on Climate Change Third Assessment Report.