997 resultados para Zimmermann, WilhelmZimmermann, WilhelmWilhelmZimmermann


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The Pseudomonas aeruginosa gene anr, which encodes a structural and functional analog of the anaerobic regulator Fnr in Escherichia coli, was mapped to the SpeI fragment R, which is at about 59 min on the genomic map of P. aeruginosa PAO1. Wild-type P. aeruginosa PAO1 grew under anaerobic conditions with nitrate, nitrite, and nitrous oxide as alternative electron acceptors. An anr deletion mutant, PAO6261, was constructed. It was unable to grow with these alternative electron acceptors; however, its ability to denitrify was restored upon the introduction of the wild-type anr gene. In addition, the activities of two enzymes in the denitrification pathway, nitrite reductase and nitric oxide reductase, were not detectable under oxygen-limiting conditions in strain PAO6261 but were restored when complemented with the anr+ gene. These results indicate that the anr gene product plays a key role in anaerobically activating the entire denitrification pathway.

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In recent research, both soil (root-zone) and air temperature have been used as predictors for the treeline position worldwide. In this study, we intended to (a) test the proposed temperature limitation at the treeline, and (b) investigate effects of season length for both heat sum and mean temperature variables in the Swiss Alps. As soil temperature data are available for a limited number of sites only, we developed an air-to-soil transfer model (ASTRAMO). The air-to-soil transfer model predicts daily mean root-zone temperatures (10cm below the surface) at the treeline exclusively from daily mean air temperatures. The model using calibrated air and root-zone temperature measurements at nine treeline sites in the Swiss Alps incorporates time lags to account for the damping effect between air and soil temperatures as well as the temporal autocorrelations typical for such chronological data sets. Based on the measured and modeled root-zone temperatures we analyzed. the suitability of the thermal treeline indicators seasonal mean and degree-days to describe the Alpine treeline position. The root-zone indicators were then compared to the respective indicators based on measured air temperatures, with all indicators calculated for two different indicator period lengths. For both temperature types (root-zone and air) and both indicator periods, seasonal mean temperature was the indicator with the lowest variation across all treeline sites. The resulting indicator values were 7.0 degrees C +/- 0.4 SD (short indicator period), respectively 7.1 degrees C +/- 0.5 SD (long indicator period) for root-zone temperature, and 8.0 degrees C +/- 0.6 SD (short indicator period), respectively 8.8 degrees C +/- 0.8 SD (long indicator period) for air temperature. Generally, a higher variation was found for all air based treeline indicators when compared to the root-zone temperature indicators. Despite this, we showed that treeline indicators calculated from both air and root-zone temperatures can be used to describe the Alpine treeline position.

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Given the rate of projected environmental change for the 21st century, urgent adaptation and mitigation measures are required to slow down the on-going erosion of biodiversity. Even though increasing evidence shows that recent human-induced environmental changes have already triggered species' range shifts, changes in phenology and species' extinctions, accurate projections of species' responses to future environmental changes are more difficult to ascertain. This is problematic, since there is a growing awareness of the need to adopt proactive conservation planning measures using forecasts of species' responses to future environmental changes. There is a substantial body of literature describing and assessing the impacts of various scenarios of climate and land-use change on species' distributions. Model predictions include a wide range of assumptions and limitations that are widely acknowledged but compromise their use for developing reliable adaptation and mitigation strategies for biodiversity. Indeed, amongst the most used models, few, if any, explicitly deal with migration processes, the dynamics of population at the "trailing edge" of shifting populations, species' interactions and the interaction between the effects of climate and land-use. In this review, we propose two main avenues to progress the understanding and prediction of the different processes A occurring on the leading and trailing edge of the species' distribution in response to any global change phenomena. Deliberately focusing on plant species, we first explore the different ways to incorporate species' migration in the existing modelling approaches, given data and knowledge limitations and the dual effects of climate and land-use factors. Secondly, we explore the mechanisms and processes happening at the trailing edge of a shifting species' distribution and how to implement them into a modelling approach. We finally conclude this review with clear guidelines on how such modelling improvements will benefit conservation strategies in a changing world. (c) 2007 Rubel Foundation, ETH Zurich. Published by Elsevier GrnbH. All rights reserved.

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Understanding niche evolution, dynamics, and the response of species to climate change requires knowledge of the determinants of the environmental niche and species range limits. Mean values of climatic variables are often used in such analyses. In contrast, the increasing frequency of climate extremes suggests the importance of understanding their additional influence on range limits. Here, we assess how measures representing climate extremes (i.e., interannual variability in climate parameters) explain and predict spatial patterns of 11 tree species in Switzerland. We find clear, although comparably small, improvement (+20% in adjusted D(2), +8% and +3% in cross-validated True Skill Statistic and area under the receiver operating characteristics curve values) in models that use measures of extremes in addition to means. The primary effect of including information on climate extremes is a correction of local overprediction and underprediction. Our results demonstrate that measures of climate extremes are important for understanding the climatic limits of tree species and assessing species niche characteristics. The inclusion of climate variability likely will improve models of species range limits under future conditions, where changes in mean climate and increased variability are expected.

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Alcohol treatment professionals are often reluctant to address tobacco dependence in their patients or to implement smoke-free policies in inpatient treatment programs, fearing, among others, non-adherence to alcohol treatment. The aim of the present study was to evaluate the acceptance of an intended smoking ban in a specialized hospital for alcohol withdrawal. Fifteen of 54 patients reported that they would not begin or quit alcohol treatment if smoking were banned in the clinic, but only five would not begin or quit if nicotine replacement were available. The present study indicates that a non-smoking policy would be feasible in a Swiss alcohol clinic, without jeopardizing alcohol treatment adherence.

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The development of susceptibility maps for debris flows is of primary importance due to population pressure in hazardous zones. However, hazard assessment by processbased modelling at a regional scale is difficult due to the complex nature of the phenomenon, the variability of local controlling factors, and the uncertainty in modelling parameters. A regional assessment must consider a simplified approach that is not highly parameter dependant and that can provide zonation with minimum data requirements. A distributed empirical model has thus been developed for regional susceptibility assessments using essentially a digital elevation model (DEM). The model is called Flow-R for Flow path assessment of gravitational hazards at a Regional scale (available free of charge under www.flow-r.org) and has been successfully applied to different case studies in various countries with variable data quality. It provides a substantial basis for a preliminary susceptibility assessment at a regional scale. The model was also found relevant to assess other natural hazards such as rockfall, snow avalanches and floods. The model allows for automatic source area delineation, given user criteria, and for the assessment of the propagation extent based on various spreading algorithms and simple frictional laws.We developed a new spreading algorithm, an improved version of Holmgren's direction algorithm, that is less sensitive to small variations of the DEM and that is avoiding over-channelization, and so produces more realistic extents. The choices of the datasets and the algorithms are open to the user, which makes it compliant for various applications and dataset availability. Amongst the possible datasets, the DEM is the only one that is really needed for both the source area delineation and the propagation assessment; its quality is of major importance for the results accuracy. We consider a 10m DEM resolution as a good compromise between processing time and quality of results. However, valuable results have still been obtained on the basis of lower quality DEMs with 25m resolution.

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The rate of environmental niche evolution describes the capability of species to explore the available environmental space and is known to vary among species owing to lineage-specific factors. Trophic specialization is a main force driving species evolution and is responsible for classical examples of adaptive radiations in fishes. We investigate the effect of trophic specialization on the rate of environmental niche evolution in the damselfish, Pomacentridae, which is an important family of tropical reef fishes. First, phylogenetic niche conservatism is not detected in the family using a standard test of phylogenetic signal, and we demonstrate that the environmental niches of damselfishes that differ in trophic specialization are not equivalent while they still overlap at their mean values. Second, we estimate the relative rates of niche evolution on the phylogenetic tree and show the heterogeneity among rates of environmental niche evolution of the three trophic groups. We suggest that behavioural characteristics related to trophic specialization can constrain the evolution of the environmental niche and lead to conserved niches in specialist lineages. Our results show the extent of influence of several traits on the evolution of the environmental niche and shed new light on the evolution of damselfishes, which is a key lineage in current efforts to conserve biodiversity in coral reefs.

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BACKGROUND: While detoxification under anaesthesia accelerates the detoxification procedure, there is a lack of randomised clinical trials evaluating its effectiveness compared to traditional detoxification procedures, and a lack of data on long-term abstinence. METHODS: Prospective randomised clinical trial. Analysis by intention to treat and per protocol. Setting: Specialised substance abuse unit in a psychiatric teaching hospital and an intensive care unit of a general hospital. Participants: Seventy patients with opiate mono-dependence requesting detoxification: 36 randomised to RODA (treatment as allocated received by 26) and 34 randomised to classical clonidine detoxification (treatment as allocated received by 21). Main outcome measures: Successful detoxification, safety and self-reported abstinence at 3, 6 and 12 months after detoxification. RESULTS: Socio-demographics were similar in both groups at baseline. No complications were reported during or after anaesthesia. According to the intention to treat analysis, 28/36 (78%) RODA patients and 21/34 (62%) of the clonidine group successfully completed the detoxification process (p=0.14). In the intention to treat analysis, 30% of RODA patients were abstinent after 3 months compared to 14% in the clonidine group (p=0.11). No difference was found at 6 and 12 months (both groups showed less than 5% abstinence after 12 months). The per-protocol analysis showed similar results with no statistical differences either for ASI mean scores or for the SF36 questionnaire. CONCLUSION: Although the detoxification success rate and abstinence after 3 months were slightly better for the RODA procedure compared to clonidine treatment, these differences were not statistically significant and disappeared completely after 6 and 12 months.

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Les Pays-Bas et la Suisse sont souvent décrits comme ayant des relations entre travail et capital similaires, marquées par des négociations et le compromis. La conviction est courante dans les deux pays qu'il y a une tendance constante au consensus et au compromis dans l'histoire nationale. Cette thèse livre une comparaison historique du développement des relations de classe dans la 1ers moitié du 20eme siècle. Une attention particulière est donnée aux confrontations sévères et partiellement violentes entre les classes qui ont eu lieu pendant et juste après la Première Guerre Mondiale. Dans la crise des années trente, les deux pays ont longtemps maintenu l'attachement à une politique de déflation, ce qui a mené à une nouvelle accentuation des tensions sociales. Dans ce contexte, loin d'être prêts à faire des concessions au mouvement ouvrier, d'importantes composantes du patronat néerlandais et suisse sympathisaient avec un corporatisme autoritaire comme il était prôné par les mouvements et régimes fascistes. Des alliances entre le mouvement ouvrier socialiste et des fractions importantes des classes moyennes étaient capables d'arrêter cette dérive autoritaire, sans avoir assez de force pour imposer leurs propres alternatives. C'est seulement après l'affaiblissement de la droite dure entre la deuxième moitié des années trente et l'immédiat après-guerre que des premiers fondements pour un compromis de classe stable ont été établis. Généralement, l'approche comparée de la thèse permet de mieux saisir les histoires nationales dans leur contexte européen et global et permet donc de dépasser une vue de l'histoire nationale comme «cas spécial».¦Die Beziehungen zwischen Arbeit und Kapital in Niederlande und die Schweiz werden oft als âhnlich und stark von Verhandlungen und von Kompromissen geprâgt beschrieben. In beiden Lândern ist die Auffassung weitverbreitet, dass es in der nationalen Geschichte eine konstante Tendenz zum Konsens und zum Kompromiss gebe. Diese Dissertation bietet einen historischen Vergleich der Entwicklung der Klassenbeziehungen in der ersten Hâlfte des 20. Jahrhunderts. Thematisiert werden insbesondere die ernsthaften und teilweise gewalttàtigen Zusammenstôsse zwischen den Klassen, die sich wàhrend und unmittelbar nach dem Ersten Weltkrieg ereigneten. In der Krise der Dreissigerjahre hielten beide Staaten lange an der Deflationspolitik fest, was erneut zu einer Verschârfung der sozialen Spannungen fïïhrte. Vor diesem Hintergrund lehnten weite Teile der schweizerischen und niederlândischen Grossunternehmer Konzessionen gegenuber der Arbeiterbewegung ab. Vielmehr sympathisierten sie mit einem autoritàren Korporatismus, wie er von den faschistischen Bewegungen und Regimes vertreten wurde. Allianzen zwischen der sozialistischen Arbeiterbewegung und Teilen der Mittelschichten gelang es zwar, diese autoritàren Tendenzen aufzuhalten, nicht aber ihre eigenen Alteraativkonzepte durchzusetzen. Erst nach der Schwâchung der radikalen Rechten in der Zeit zwischen der zweiten Hàlfte der 1930er Jahre und der unmittelbaren Nachkriegszeit nach dem Zweiten Weltkrieg fand sich eine¦Grundlage fur einen stabilen Klassenkompromiss. Generell ermôglicht es der vergleichende Ansatz der Dissertation, die nationale Geschichte in ihrem europâischen und globalen Kontext zu sehen und so eine Sicht auf die Geschichte eines einzelnen Landes als ,,Sonderfall" zu uberwinden.

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Abiotic factors such as climate and soil determine the species fundamental niche, which is further constrained by biotic interactions such as interspecific competition. To parameterize this realized niche, species distribution models (SDMs) most often relate species occurrence data to abiotic variables, but few SDM studies include biotic predictors to help explain species distributions. Therefore, most predictions of species distributions under future climates assume implicitly that biotic interactions remain constant or exert only minor influence on large-scale spatial distributions, which is also largely expected for species with high competitive ability. We examined the extent to which variance explained by SDMs can be attributed to abiotic or biotic predictors and how this depends on species traits. We fit generalized linear models for 11 common tree species in Switzerland using three different sets of predictor variables: biotic, abiotic, and the combination of both sets. We used variance partitioning to estimate the proportion of the variance explained by biotic and abiotic predictors, jointly and independently. Inclusion of biotic predictors improved the SDMs substantially. The joint contribution of biotic and abiotic predictors to explained deviance was relatively small (similar to 9%) compared to the contribution of each predictor set individually (similar to 20% each), indicating that the additional information on the realized niche brought by adding other species as predictors was largely independent of the abiotic (topo-climatic) predictors. The influence of biotic predictors was relatively high for species preferably growing under low disturbance and low abiotic stress, species with long seed dispersal distances, species with high shade tolerance as juveniles and adults, and species that occur frequently and are dominant across the landscape. The influence of biotic variables on SDM performance indicates that community composition and other local biotic factors or abiotic processes not included in the abiotic predictors strongly influence prediction of species distributions. Improved prediction of species' potential distributions in future climates and communities may assist strategies for sustainable forest management.