Why Are East Germans Not More Mobile?: Analyzing the Impact of Local Networks on Migration Intentions

Despite poor regional labour market conditions East Germans exhibit a rather limited willing-ness of leaving their home region. Applying an IV ordered probit approach and using the German Socio Economic Panel (SOEP), we test a local network explanation of lower spatial mobility. Firstly, we find that membership in locally bounded social networks reduces regional mobility. Secondly, we show that native East Germans are more invested in this type of social networks than West Germans. Thirdly, after controlling for the social network effect the mobility gap between East and West substantially reduces. Thus, low regional labour mobility of East Germans is for a significant part attributable to local ties binding people to their home region.Social networks, labour mobility

Re-Membering the Demos: Dramaturgies of Facts and Affects in Contemporary Performance

Two decades into the twenty-first century, the research and the study of dramaturgy, and likewise every theatre maker, confront some grand challenges: What is the place and the potential of dramaturgy - and by extension, of theatre at large - in our contemporary, digital, globalised and ever more populist and anti-democratic world? This text is based on my inaugural lecture as Professor of Dramaturgy at Aarhus University, given at the Department of Dramaturgy and Musicology on 25 June 2019

Local Interferences: Mapping the City as Resonant ‘Counter-Text’

Building on D.J. Hopkins’s ‘counter-textual dramaturgy’ and using as principal example the curatorial strategy of the 2018 Palermo edition of the arts biennial Manifesta, both of which introduced urban study research strategies proposed by Dutch architect Rem Koolhaas, this essay discusses the strategy of dramaturgic mapping as a way of generating ‘resonant interference’, as I call it drawing on a concept by German sociologist Hartmut Rosa. I argue that mapping fosters attention for common, resonant micro-narratives whose productive interferences help to dramaturgically embed art works within contemporary plural and diverse local cultural contexts

Spielen CRP-Spiegel neben IL-6 und PCT noch eine Rolle für Patienten auf Intensivstationen? / Are circulating levels of CRP compared to IL-6 and PCT still relevant in intensive care unit patients?

In der Diagnostik von Infektionen und inflammatorischen Prozessen ist das C-reaktive Protein (CRP) einer der meistverwendeten Parameter, unter anderem aufgrund der geringen Kosten und der schnellen Verfügbarkeit. Im Zuge der letzten Jahre gewannen jedoch andere Entzündungsparameter, wie zum Beispiel das Interleukin 6 (IL-6) oder Procalcitonin (PCT), zunehmend an Bedeutung. Obwohl diese Parameter im klinischen Alltag noch nicht überall etabliert sind, besitzen sie doch wesentliche Vorteile in der Diagnostik und im Verlaufsmonitoring von entzündlichen Erkrankungen. Beispielsweise ist die Erkennung entzündlicher Komplikationen auf Intensivstationen durch erhöhte IL-6 Spiegel 24 bis 48 Stunden vor einer Erhöhung des CRP möglich. Die deutliche Überlegenheit von PCT gegenüber CRP in der Diagnostik von bakteriellen Infektionen und Sepsis begründet sich in der höheren Spezifität des PCT für bakterielle Infektionen. Der PCT-Verlauf ermöglicht daher eine bessere Beurteilung des Therapieerfolges und Krankheitsverlaufs des Patienten und liefert Hinweise auf eine gegebenenfalls erforderliche Therapieumstellung. Daraus ergibt sich die Frage, ob die Messung des CRP-Spiegels durch IL-6 und/oder PCT ersetzt werden kann. In dieser Übersichtsarbeit wird die derzeitige Bedeutung von CRP im Verhältnis zu den neueren Entzündungsparametern in der Diagnostik von bakteriellen Infektionen, im therapeutischen Monitoring und in seiner Aussagekraft bezüglich der Prognose des Patienten auf Intensivstationen dargestellt.C-reactive protein (CRP) currently constitutes one of the most widely used parameters for the diagnosis of infections and inflammatory processes, due to simple methods and low costs. However, in recent years, other parameters, such as interleukin 6 (IL-6) and procalcitonin (PCT), have gained in importance. Although these parameters are presently not established everywhere in clinical routine, they provide significant advantages in the diagnosis and monitoring of inflammatory diseases. For instance, in intensive care, the increase in IL-6 levels may indicate inflammatory complications 24 to 48 h prior to the increase in circulating CRP levels. In contrast to CRP, PCT shows a higher specificity for bacterial infections, which facilitates the diagnosis of bacterial infections and sepsis. Therefore, PCT values provide a better evaluation of prognosis and therapeutic success and of a necessary change in therapy. These points raise the question whether CRP levels should at least in part be replaced by PCT and/or IL-6. Thus, this review seeks to examine the value of CRP in relation to PCT and IL-6 in the diagnosis of bacterial infections, in therapeutic monitoring, and regarding prognosis in critical care patients

A Multi-Parameter Dynamical Diagnostics for Upper Tropospheric and Lower Stratospheric Studies

Ozone trend estimates have shown large uncertainties in the upper troposphere/lower stratosphere (UTLS) region despite multi-decadal observations available from ground-based, balloon, aircraft, and satellite platforms. These uncertainties arise from large natural variability driven by dynamics (reflected in tropopause and jet variations) as well as the strength in constituent transport and mixing. Additionally, despite all the community efforts there is still a lack of representative high-quality global UTLS measurements to capture this variability. The Stratosphere-troposphere Processes And their Role in Climate (SPARC) Observed Composition Trends and Variability in the UTLS (OCTAV-UTLS) activity aims to reduce uncertainties in UTLS composition trend estimates by accounting for this dynamically induced variability. In this paper, we describe the production of dynamical diagnostics using meteorological information from reanalysis fields that facilitate mapping observations from several platforms into numerous geophysically-based coordinates (including tropopause and upper tropospheric jet relative coordinates). Suitable coordinates should increase the homogeneity of the air masses analyzed together, thus reducing the uncertainty caused by spatio-temporal sampling biases in the quantification of UTLS composition trends. This approach thus provides a framework for comparing measurements with diverse sampling patterns and leverages the meteorological context to derive maximum information on UTLS composition and trends and its relationships to dynamical variability. The dynamical diagnostics presented here are the first comprehensive set describing the meteorological context for multi-decadal observations by ozonesondes, lidar, aircraft, and satellite measurements in order to study the impact of dynamical processes on observed UTLS trends by different sensors on different platforms. Examples using these diagnostics to map multi-platform datasets into different geophysically-based coordinate systems are provided. The diagnostics presented can also be applied to analysis of greenhouse gases other than ozone that are relevant to surface climate and UTLS chemistry.</p

Plant attributes explain the distribution of soil microbial communities in two contrasting regions of the globe

We lack strong empirical evidence for links between plant attributes (plant community attributes and functional traits) and the distribution of soil microbial communities at large spatial scales. Using datasets from two contrasting regions and ecosystem types in Australia and England, we report that aboveground plant community attributes, such as diversity (species richness) and cover, and functional traits can predict a unique portion of the variation in the diversity (number of phylotypes) and community composition of soil bacteria and fungi that cannot be explained by soil abiotic properties and climate. We further identify the relative importance and evaluate the potential direct and indirect effects of climate, soil properties and plant attributes in regulating the diversity and community composition of soil microbial communities. Finally, we deliver a list of examples of common taxa from Australia and England that are strongly related to specific plant traits, such as specific leaf area index, leaf nitrogen and nitrogen fixation. Together, our work provides new evidence that plant attributes, especially plant functional traits, can predict the distribution of soil microbial communities at the regional scale and across two hemispheres

Evidence for changes in stratospheric transport and mixing over the past three decades based on multiple data sets and tropical leaky pipe analysis

Variability in the strength of the stratospheric Lagrangian mean meridional or Brewer-Dobson circulation and horizontal mixing into the tropics over the past three decades are examined using observations of stratospheric mean age of air and ozone. We use a simple representation of the stratosphere, the tropical leaky pipe (TLP) model, guided by mean meridional circulation and horizontal mixing changes in several reanalyses data sets and chemistry climate model (CCM) simulations, to help elucidate reasons for the observed changes in stratospheric mean age and ozone. We find that the TLP model is able to accurately simulate multiyear variability in ozone following recent major volcanic eruptions and the early 2000s sea surface temperature changes, as well as the lasting impact on mean age of relatively short-term circulation perturbations. We also find that the best quantitative agreement with the observed mean age and ozone trends over the past three decades is found assuming a small strengthening of the mean circulation in the lower stratosphere, a moderate weakening of the mean circulation in the middle and upper stratosphere, and a moderate increase in the horizontal mixing into the tropics. The mean age trends are strongly sensitive to trends in the horizontal mixing into the tropics, and the uncertainty in the mixing trends causes uncertainty in the mean circulation trends. Comparisons of the mean circulation and mixing changes suggested by the measurements with those from a recent suite of CCM runs reveal significant differences that may have important implications on the accurate simulation of future stratospheric climate

Mapping local and global variability in plant trait distributions

Our ability to understand and predict the response of ecosystems to a changing environment depends on quantifying vegetation functional diversity. However, representing this diversity at the global scale is challenging. Typically, in Earth system models, characterization of plant diversity has been limited to grouping related species into plant functional types (PFTs), with all trait variation in a PFT collapsed into a single mean value that is applied globally. Using the largest global plant trait database and state of the art Bayesian modeling, we created fine-grained global maps of plant trait distributions that can be applied to Earth system models. Focusing on a set of plant traits closely coupled to photosynthesis and foliar respiration - specific leaf area (SLA) and dry mass-based concentrations of leaf nitrogen (Nm) and phosphorus (Pm), we characterize how traits vary within and among over 50,000 ∼50×50-km cells across the entire vegetated land surface. We do this in several ways - without defining the PFT of each grid cell and using 4 or 14 PFTs; each model's predictions are evaluated against out-of-sample data. This endeavor advances prior trait mapping by generating global maps that preserve variability across scales by using modern Bayesian spatial statistical modeling in combination with a database over three times larger than that in previous analyses. Our maps reveal that the most diverse grid cells possess trait variability close to the range of global PFT means