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Institut
- Fakultät Nachhaltigkeit (165) (entfernen)
The emission of anthropogenic trace substances into the aquatic environment continuously poses challenges to water suppliers. The contamination of raw waters with organic trace substances requires complex water treatment processes to secure drinking water quality. The routine monitoring of these raw waters as well as the behavior and fate of organic trace substances during different treatment processes is of great interest to recognize and counter potential dangers at an early stage. Non-target screening using liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS) allows the detection of thousands of compounds within a single run and covers known as well as unknown substances. Compared to the established analytical techniques, this is a decisive advantage for the monitoring of raw and process waters during water treatment. While the analytical technique LC-HRMS has undergone significant developments in recent years, the algorithms for data processing reveal clear weaknesses. This dissertation therefore deals with reliable processing strategies for LC-HRMS data. The first part of this work seeks to highlight the problematics of false positive and false negative findings. Based on repeated measurements, various strategies of data processing were assessed with regard to the repeatability of the results. To ensure that real peaks were barely or not removed by the filtering procedure, samples were spiked with isotope-labeled standards. The results emphasize that the processing of sample triplicates results in sufficient repeatability and that the signal fluctuation across the triplicates emerged as a powerful filtering criteria. The number of false positives and false negatives could be significantly reduced by the developed strategies which consequently improve the validity of the data. The second part of this thesis addresses the development of processing strategies particularly aimed at assessing water treatment processes. The detected signals were tracked across the treatment process and classified based on their fold changes. A more reliable signal classification was achieved by implementing a recursive integration approach. Special integration algorithms allow a reliable signal classification even though the signal to be compared was below the intensity threshold. Different combinations of replicates of process influents and effluents were processed for evaluating the repeatability. The good repeatability was indicated by the results of both the plausibility checks and the ozonation process (ozonation of pretreated river water) and thus points to high reliability. The applicability of the developed strategies to real world applications is demonstrated in the last part of this work. Besides the prioritization of the generated results, the main focus was the identification of recognized compounds. The developed strategies clearly improve the validity of the underlying data. The combination of LC-HRMS analysis with reliable processing strategies opens up multiple possibilities for a more comprehensive monitoring of water resources and for the assessment of water treatment processes. The processing strategies and validation concepts may be easily transferred to other research fields.
In zahlreichen, sowohl wissenschaftlichen als auch politischen Veröffentlichungen, wird die "Energiewende" als Transformationsprojekt eingeordnet. Zweifelsohne birgt eine Umstellung auf ein erneuerbares Energiesystem transformative Potenziale. Die Bedeutungsbestimmung von "Energiewende" oder auch Transformation bleibt in Politik und Forschung aber häufig unklar. Um dem zu begegnen, wird in der vorliegenden Studie die Bedeutung von "Energiewende", wie sie im Bundestag verhandelt wird, untersucht. Darauf aufbauend wird analysiert, ob und inwiefern die „Energiewende“ einem Anspruch als Transformationsprojekt gerecht werden kann, bzw. wie sich die Wirkrichtung der mit "Energiewende" verbundenen Politiken im Spannungsfeld beharrend – reformistisch – transformativ verorten lässt. Die besondere gesellschaftliche Bedeutung der Bundestags-Debatten um "Energiewende" leitet sich diskurstheoretisch unter anderem aus der ihnen zukommenden "Schaufensterfunktion" ab, wonach die Debatten strategisch auf eine außerparlamentarische Öffentlichkeit ausgerichtet sind. Hinzu kommt, dass sich der hier stattfindende Diskurs, bspw. in Gesetzen, unmittelbar materialisiert. Als Startpunkt der Untersuchung wird der Beginn der rot-grünen Regierungszeit gewählt (1998), da diese – u.a. wegen der Verabschiedung des Erneuerbaren-Energien-Gesetzes (EEG) und dem politischen Beschluss zum Atomausstieg – in besonderer Weise mit der "Energiewende" in Verbindung gebracht wird. Als Endpunkt dient die letzte vollständige Wahlperiode zum Zeitpunkt der Untersuchung. Die Diskursanalyse bezieht sich demnach auf die Bundestagsdebatten zur "Energiewende" zwischen der 14. und 18. Legislaturperiode (1998-2017). Das methodische Innovationspotenzial der Arbeit liegt insbesondere in der Verbindung aus einem Verfahren quantitativer, computerbasierter Diskursanalyse mit einer qualitativen Analyse. Als Ergebnis der Verknüpfung von Transformations- und Diskurstheorie wird ein methodisch komplexes Forschungsdesign präsentiert, das sich neben der Analyse des "Energiewende"-Diskurses auf weitere Bereiche der politischen Transformationsforschung übertragen lässt.
Food forests present a promising solution to address multiple sustainability challenges adaptable to local contexts. As biodiverse multi-strata agroforestry systems, they can provide several ecological, socio-cultural and economic services. They sequester carbon, limit soil erosion and regulate the micro-climate; they offer the opportunity for education on healthy diets and ecology, and they produce food and can create livelihood opportunities. However, despite their obvious benefits, food forests are still a niche concept. To date, research has focused on their ecological and social services; we lack an understanding of food forests as a comprehensive sustainability solution, including their economic dimension, and knowledge on how to develop them. Addressing these gaps, this qualitative research used a solution- and process-oriented methodology guided by transformational sustainability research. In a comparative case study approach, it created an inventory of 209 food forests, followed by interviews and site visits of 14 sites to understand their characteristics and assess their sustainability (Article 1). More indepth, it analyzed the implementation path of seven food forest for success factors, barriers and coping strategies (Article 2). Based on these insights, two experimental case studies were initiated to develop sustainable food forests with practice partners, one based in Phoenix, Arizona, U.S. and one in Lüneburg, Germany. Two studies analyzed the cases' outputs and processes highlighting success factors and challenges, including the role of a sustainable entrepreneurial ecosystem (Article 3, Phoenix case) and key features of productive partnerships to understand why one case succeeded and the other failed (Article 4). Findings include key features of existing and sustainable food forests as well as success factors on how to develop them; namely acquiring a complementary skill set that includes specialty farming and entrepreneurial know-how, securing sufficient start-up funds and long-term land access as well as overcoming regulatory restrictions. Supporting institutions are especially needed to integrate and professionalize the planning stage and provide know-how on alternative business practices. Key features of productive partnerships include an entrepreneurial attitude, access to support functions, long-term orientation and commitment to food system sustainability.
Rangelands are the most widespread land-use systems in drylands, where they often represent the only sustainable form of land-use due to the limited water availability. The intensity of the land-use of such rangeland ecosystems in drylands depends to a large extent on the climatic variability in time and space. Rangeland systems are seriously threatened by climate change, because climate change will alternate the availability of water in time and space. This dissertation therefore deals with the question which role climatic variability plays for the effects of grazing on vegetation in dry rangelands. The relatively intact steppes in central Mongolia were chosen as a model system. They are characterised by low precipitation and high climatic variability in the south (100mm annual precipitation), and comparatively high precipitation and low climatic variability in the north (250mm). The effects of grazing on vegetation on 15 grazing transects were investigated along the climatic gradient. The central elements were the plant species and their abundances on 10m x 10m areas, for which functional characteristics such as height, affiliation of functional groups or leaf nutrients were recorded. The main hypothesis of this dissertation is that grazing has a greater impact on vegetation communities with increasing rainfall. To test this hypothesis, three studies were carried out. In a first study, the research group found that the vegetation communities in the dry area differ strongly along the climatic gradient, while the plant communities in the wetter area differ more strongly along the grazing gradient. The results of the second study suggested that this difference can be explained by a functional environmental filter that becomes weaker from south to north as the niche spectrum increases. The third study has shown that this is likely a function of the higher availability of resources, which at the same time leads to higher grazing pressure, therewith stressing the vegetation especially in years with droughts. In summary, the author concludes that the climate gradient also represents an environmental filter that filters species for certain characteristics, thus having a significant influence on the vegetation. Climatic variability influences the effect of grazing on vegetation, which is particularly problematic where the grazing intensity is high and the species are less adapted to strong climatic fluctuations. Future scenarios predict increasing productivity and therefore increasing livestock density. This may lead to an increase in floristic and functional diversity across the climate gradient, but also to increasing grazing effects and therefore threads for overgrazing. Increasing climatic variability is likely to intensify this thread, especially in the moister regions, whereas the dry rangelands are likely to be more resilient due to the adaptation of the plants to non-equilibrium dynamics.
Der Konflikt um den Braunkohleabbau im Allgemeinen und den Hambacher Forst im Speziellen ist im Sommer 2018 in Deutschland erneut eskaliert und fand eine immer breitere Wahrnehmung in der Öffentlichkeit. Der Protest im und um den Hambacher Forst steht symbolisch für die Auseinandersetzungen um die deutsche Klimapolitik und damit für die Machtverhältnisse zwischen Staat, Wirtschaft und Zivilgesellschaft. Akteure verschiedener Standpunkte mussten in diesem Konflikt ihre Position begründen. Dies führte zu einer Intensivierung der Diskussion um Legalität, Legitimität, Demokratie und Gerechtigkeit. Die scheinbare Diskrepanz zwischen einer rechtsstaatlichen Demokratie und dem zivilen Ungehorsam als einem möglichen Korrektiv führte zu der hier bearbeiteten Forschungsfrage: Ist der Einsatz von zivilem Ungehorsam am Fallbeispiel "Ende Gelände", Rheinisches Braunkohle Revier, legitim, wenn nicht sogar notwendig, um die Grundprinzipien des demokratischen Staates zu wahren? Als Grundlage für die Beantwortung der Fragestellung soll erörtert werden, ob in der rechtsstaatlichen, sozialen und repräsentativen Demokratie Deutschlands die Protestform des zivilen Ungehorsams legitim sein kann und, sofern dies der Fall ist, unter welchen Umständen diese Legitimität gegeben ist.