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Nach der Wiedervereinigung der beiden deutschenStaaten im Jahr 1990 wurde in den neuen Bundesländern der weitgehend verstaatlichte Grund undBoden in Privateigentum zurücküberführt. Da in derDDR eine Wiedergutmachung nationalsozialistischenUnrechts weitgehend ausgeblieben war, wurde dieRestitutionsregelung auf die Eigentumsentziehungenbis 1933 ausgedehnt.Die wenig erforschte «Arisierung» des Grundeigentums während des Nationalsozialismus gewann damitan erneuter Aktualität. Die «Arisierung» als Teilder nationalsozialistischen Judenverfolgung bedeuteteeine vollständige Verdrängung der Juden aus der Wirtschaft und damit auch aus dem Immobilienbereich.Das Ergebnis der «Arisierung» war «eine der grösstenBesitzumschichtungen der Neuzeit».Ziel des Artikels ist es, einen Überblick über die rechtlichen Regelungen und den Ablauf der «Arisierung»des Grundeigentums zu geben und mit einer Fallstudiediesen Prozess für ein konkretes Quartier im OstteilBerlins darzustellen.
Feministische Geographien und geographische Geschlechterforschung umfassen eine Vielzahl an Themenfeldern und Fragestellungen zum Zusammenhang von Raum und Geschlecht(lichkeit), die aus unterschiedlichen theoretischen Perspektiven in allen geographischen Bereichen behandelt werden können. In unserem Beitrag liefern wir einen Überblick über Inhalte, Ziele und Entwicklungspfade von Geschlechter- und feministischer Forschung in der deutschsprachigen Geographie. Dieser Überblick ist in allgemeine Überlegungen zu Geschlechterforschung in den Sozialwissenschaften eingebettet und an verschiedenen geschlechtertheoretischen Perspektiven – Frauen-, Geschlechterverhältnis-, Männer-/Männlichkeits- und Geschlechtsforschung – orientiert. Entlang der Frage "Wie weiblich ist die Nacht?" werden die Ausführungen zu den Fragestellungen, Blickachsen und Arbeitsweisen feministischer Geographien an zwei Beispielen konkretisiert und vertieft.
Die »Metropolitana«, der »Planungsverband Frankfurt RheinMain«, die Olympiabewerbung, die »Wirtschaftsinitiative Frankfurt Rhein-Main« und der »Regionalpark Rhein-Main« sind Initiativen, die versuchen, das Rhein-Main-Gebiet für künftige Herausforderungen zu stärken. Zwar zählt diese Region zu den wirtschaftsstärksten Deutschlands, aber mit zunehmenden wirtschaftlichen Verflechtungen wird es für Städte und Regionen schwerer, sich im internationalen Wettbewerb um Unternehmensstandorte zu behaupten. Wird Frankfurt künftig im Konzert der »global cities« mitspielen können?
Aufbauend auf den Erfahrungen zweier Workshops zu (urbaner) Austerität in Griechenland und Deutschland diskutiert der Beitrag die (unterschiedliche) Geschichte und Geographie der Austerität mit besonderem Blick auf die Regionen Frankfurt/Rhein-Main und Athen. Die Erfahrungen der multiplen Krise seit 2008, die sich in Griechenland vor dem Hintergrund einer austeritätspolitischen "Shock Doctrine" und in der BRD im Kontext eines langfristigen Projekts der "scheibchenweisen" Austerität entwickelten, eröffnen dabei die Möglichkeit, die Debatten um urbane Austerität einem kritischen Blick zu unterziehen. Der Beitrag sieht insbesondere im Bereich der Krisen der (urbanen) sozialen Reproduktion sowie der Krisen der (städtischen) Politik und Repräsentation weiteren Forschungsbedarf.
Zielsetzung: Untersuchung der Auswirkungen der Covid-19-Pandemie auf Angebote der vor allem niedrigschwelligen Drogenhilfe und Reaktionen der Klientel auf geänderte Angebote. Methodik: Verwendet wurden in erster Linie Daten aus einer asynchronen qualitativen Onlinebefragung für Mitarbeiter_innen der ambulanten Drogenhilfe, ergänzt durch Zahlen aus einer quantitativen Onlinebefragung für dieselbe Zielgruppe. Ergebnisse: Während übliche Infektionsschutzmaßnahmen nahezu überall angewendet wurden, reichte die Spanne der tatsächlichen Auswirkungen von Komplettschließungen bis zu eher geringen Einschränkungen. Schwerpunkte wurden zumeist auf Überlebenshilfe und Straßensozialarbeit gelegt. Beratung wurde oft per Telefon durchgeführt, was für viele Anliegen als sinnvoll erachtet wurde, Beziehungsarbeit aber erschwerte. Vor allem stark verelendete Klient_innen nutzten weiterhin häufig Hilfsangebote. Schlussfolgerungen: Es zeigen sich unterschiedliche Umgangsweisen der Drogenhilfe mit den pandemiebedingten Maßnahmen. Oft entwickelte man kreative Lösungen zur Umsetzung, mit Schwerpunktsetzung auf Existenzsicherung. Sowohl Mitarbeiter_innen als auch Klientel waren durch die Pandemie zahlreichen Belastungen ausgesetzt.
Climatic seasonality drives ecosystem processes (e.g. productivity) and influences plant species distribution. However, it is poorly understood how different aspects of seasonality (especially regarding temperature and precipitation) affect growth continuity of trees in climates with low seasonality because seasonality is often only crudely measured. On islands, exceptionally wide elevational species distribution ranges allow the use of tree rings to identify how growth continuity and climate–growth relationships change with elevation. Here, we present a novel dendroecological method to measure stem growth continuity based on annual density fluctuations (ADFs) in tree rings of Pinus canariensis to indicate low climatic seasonality. The species ranges from 300 to >2000 m a.s.l. on the trade wind-influenced island of La Palma (Canary Islands), where we measured three decades of tree-ring data of 100 individuals distributed over 10 sites along the entire elevational range. The successfully implemented ADF approach revealed a major shift of stem growth continuity across the elevational gradient. In a remarkably clear pattern, stem growth continuity (percentage of ADFs) showed a hump-shaped relationship with elevation reaching a maximum at around 1000 m a.s.l. Low- to mid-elevation tree growth was positively correlated with the Palmer Drought Severity Index (PDSI; indicating aridity) and sea surface temperature (indicating trade wind-influenced moderation of water supply), while high-elevation tree growth was positively correlated with winter temperature (indicating a cold-induced dormancy period). We conclude that ADFs are a useful method to measure stem growth continuity in low-seasonality climates. Growth of P. canariensis on the Canary Islands is more frequently interrupted by winter cold at high elevations and by summer drought at low elevations than in the trade wind-influenced mid elevations, where growth sometimes continues throughout the year. Climate change-associated alterations in trade wind cloud formation might cause non-analogue growth limitations for many unique island species.
Over recent decades, the global population has been rapidly increasing and human activities have altered terrestrial water fluxes to an unprecedented extent. The phenomenal growth of the human footprint has significantly modified hydrological processes in various ways (e.g. irrigation, artificial dams, and water diversion) and at various scales (from a watershed to the globe). During the early 1990s, awareness of the potential for increased water scarcity led to the first detailed global water resource assessments. Shortly thereafter, in order to analyse the human perturbation on terrestrial water resources, the first generation of large-scale hydrological models (LHMs) was produced. However, at this early stage few models considered the interaction between terrestrial water fluxes and human activities, including water use and reservoir regulation, and even fewer models distinguished water use from surface water and groundwater resources. Since the early 2000s, a growing number of LHMs have incorporated human impacts on the hydrological cycle, yet the representation of human activities in hydrological models remains challenging. In this paper we provide a synthesis of progress in the development and application of human impact modelling in LHMs. We highlight a number of key challenges and discuss possible improvements in order to better represent the human–water interface in hydrological models.
The aim of this article is to show the difference between an interpretative-hermeneutic ethnographic approach deeply embedded in the history of anthropology and ethnographic methods introduced as part of a social science repertoire. Taking the classical "network" as an example, it contrasts the way this concept is generally used in studies on translocal mobility with interpretations of ethnographic research. This not only opens up critical reflections on the role of "networks" when it comes to understanding translocality as a lived experience, but also illustrates what it actually means to follow an interpretative-hermeneutic approach in which ethnographic material is seen to serve as a way to ground, question and refine abstract concepts. The article thus argues that it is through ethnographies and their inherent openness towards the field that a more enriching and creative engagement with theories and methodologies can be achieved than qualitative social science approaches usually allow for.
Global water models (GWMs) simulate the terrestrial water cycle on the global scale and are used to assess the impacts of climate change on freshwater systems. GWMs are developed within different modelling frameworks and consider different underlying hydrological processes, leading to varied model structures. Furthermore, the equations used to describe various processes take different forms and are generally accessible only from within the individual model codes. These factors have hindered a holistic and detailed understanding of how different models operate, yet such an understanding is crucial for explaining the results of model evaluation studies, understanding inter-model differences in their simulations, and identifying areas for future model development. This study provides a comprehensive overview of how 16 state-of-the-art GWMs are designed. We analyse water storage compartments, water flows, and human water use sectors included in models that provide simulations for the Inter-Sectoral Impact Model Intercomparison Project phase 2b (ISIMIP2b). We develop a standard writing style for the model equations to enhance model intercomparison, improvement, and communication. In this study, WaterGAP2 used the highest number of water storage compartments, 11, and CWatM used 10 compartments. Six models used six compartments, while four models (DBH, JULES-W1, Mac-PDM.20, and VIC) used the lowest number, three compartments. WaterGAP2 simulates five human water use sectors, while four models (CLM4.5, CLM5.0, LPJmL, and MPI-HM) simulate only water for the irrigation sector. We conclude that, even though hydrological processes are often based on similar equations for various processes, in the end these equations have been adjusted or models have used different values for specific parameters or specific variables. The similarities and differences found among the models analysed in this study are expected to enable us to reduce the uncertainty in multi-model ensembles, improve existing hydrological processes, and integrate new processes.
The accurate knowledge of the groundwater storage variation (ΔGWS) is essential for reliable water resource assessment, particularly in arid and semi-arid environments (e.g., Australia, the North China Plain (NCP)) where water storage is significantly affected by human activities and spatiotemporal climate variations. The large-scale ΔGWS can be simulated from a land surface model (LSM), but the high model uncertainty is a major drawback that reduces the reliability of the estimates. The evaluation of the model estimate is then very important to assess its accuracy. To improve the model performance, the terrestrial water storage variation derived from the Gravity Recovery And Climate Experiment (GRACE) satellite mission is commonly assimilated into LSMs to enhance the accuracy of the ΔGWS estimate. This study assimilates GRACE data into the PCRaster Global Water Balance (PCR-GLOBWB) model. The GRACE data assimilation (DA) is developed based on the three-dimensional ensemble Kalman smoother (EnKS 3D), which considers the statistical correlation of all extents (spatial, temporal, vertical) in the DA process. The ΔGWS estimates from GRACE DA and four LSM simulations (PCR-GLOBWB, the Community Atmosphere Biosphere Land Exchange (CABLE), the Water Global Assessment and Prognosis Global Hydrology Model (WGHM), and World-Wide Water (W3)) are validated against the in situ groundwater data. The evaluation is conducted in terms of temporal correlation, seasonality, long-term trend, and detection of groundwater depletion. The GRACE DA estimate shows a significant improvement in all measures, notably the correlation coefficients (respect to the in situ data) are always higher than the values obtained from model simulations alone (e.g., ~0.15 greater in Australia, and ~0.1 greater in the NCP). GRACE DA also improves the estimation of groundwater depletion that the models cannot accurately capture due to the incorrect information of the groundwater demand (in, e.g., PCR-GLOBWB, WGHM) or the unavailability of a groundwater consumption routine (in, e.g., CABLE, W3). In addition, this study conducts the inter-comparison between four model simulations and reveals that PCR-GLOBWB and CABLE provide a more accurate ΔGWS estimate in Australia (subject to the calibrated parameter) while PCR-GLOBWB and WGHM are more accurate in the NCP (subject to the inclusion of anthropogenic factors). The analysis can be used to declare the status of the ΔGWS estimate, as well as itemize the possible improvements of the future model development.