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Diese Arbeit befasst sich mit den reduzierten Basismethoden für parametrisierte quasilineare elliptische und parabolische partielle Differentialgleichungen mit stark monotonem Differentialoperator. Es werden alle Bestandteile der Methode mit reduzierter Basis vorgestellt: Basisgenerierung für reduzierte Approximation, Zertifizierung des Approximationsfehlers durch geeignete a-posteriori Fehlerkontrolle und Offine-Online-Zerlegung. Die Methodik wird ferner auf die magnetostatischen und magnetoquasistatischen Näherungen der Maxwellschen Gleichungen angewendet und ihre Gültigkeit wird durch numerische Beispiele bestätigt.
Investigating the environmental fate of iodinated X-ray contrast media in the urban water cycle
(2010)
Iodinated X-ray contrast media (ICM) are a group of emerging contaminants which have been detected at elevated concentrations in the aquatic environment. These compounds are excreted unmetabolized into hospital wastewater, and eventually treated at wastewater treatment plants (WWTPs). The removal of ICM in WWTPs has not been very effective and therefore the ICM enter the aquatic environment via WWTP effluent discharges. Research has investigated the removal of selected ICM via abiotic and biotic processes, however limited work has attempted to determine the fate of these compounds once released into the environment. This thesis investigates the biotransformation of four selected ICM (diatrizoate, iohexol, iomeprol, and iopamidol) in aerobic soil-water and sediment-water systems as well as in different environmental matrices. Iohexol, iomeprol and iopamidol were biotransformed to several TPs in the aerobic batch systems, while no biotransformation was observed for the ionic ICM, diatrizoate. In total 34 biotransformation products (TPs) of the three non-ionic ICM were identified. The combination of semi-preparative HPLC-UV, hybrid triple quadrupole-linear ion trap mass spectrometry (Qq-LIT-MS) was found to be an accurate approach for the structural elucidation of ICM TPs. The ICM TPs resulted in microbial transformation occurring at the side chains of the parent ICM, with the iodinated aromatic ring unmodified.
Diet-related effects of antimicrobials in aquatic decomposer-shredder and periphyton-grazer systems
(2022)
Leaf-associated microbial decomposers as well as periphyton serve as important food sources for detritivorous and herbivorous macroinvertebrates (shredders and grazers) in streams. Shredders and grazers, in turn, provide not only collectors with food but also serve as prey for predators. Therefore, decomposer-shredder and periphyton-grazer systems (here summarized as freshwater biofilm-consumer systems) are highly important for the energy and nutrient supply in heterotrophic and autotrophic stream food webs. However, both systems can be affected by chemical stressors, amongst which antimicrobials (e.g., antibiotics, fungicides and algaecides) are of particular concern. Antimicrobials can impair shredders and grazers not only via waterborne exposure (waterborne effect pathway) but also through dietary exposure and microorganism-mediated alterations in the food quality of their diet (dietary effect pathway). Even though the relevance of the latter pathway received more attention in recent years, little is known about the mechanisms that are responsible for the observed effects in shredders and grazers. Therefore, the first objective of this thesis was to broaden the knowledge of indirect antimicrobial effects in a model shredder and grazer via the dietary pathway. Moreover, although freshwater biofilm-consumer systems are most likely exposed to antimicrobial mixtures comprised of different stressor groups, virtually nothing is known of these mixture effects in both systems. Therefore, the second objective was to assess and predict diet-related antimicrobial mixture effects in a model freshwater biofilm-consumer system. During this thesis, positive diet-related effects of a model antibiotic on the energy processing and physiology of the shredder Gammarus fossarum were observed. They were probably triggered by shifts in the leaf-associated microbial community in favor of aquatic fungi that increased the food quality of leaves for the shredder. Contrary to that, a model fungicide induced negative effects on the energy processing of G. fossarum via the dietary pathway, which can be explained by negative impacts on the microbial decomposition efficiency leading to a reduced food quality of leaf litter for gammarids. For diet-related antimicrobial effects in periphyton-grazer systems, a model algaecide altered the periphyton community composition by increasing nutritious and palatable algae. This resulted in an enhanced consumption and physiological fitness of the grazer Physella acuta. Finally, it was shown that complex horizontal interactions among leaf-associated microorganisms are involved, making diet-related antimicrobial mixture effects in the shredder G. fossarum difficult to predict. Thus, this thesis provides new insights into indirect diet-related effects of antimicrobials on shredders and grazers as well as demonstrates uncertainties of antimicrobial mixture effect predictions for freshwater biofilm-consumer systems. Moreover, the findings in this thesis are not only informative for regulatory authorities, as indirect effects and effects of mixtures across chemical classes are not considered in the environmental risk assessment of chemical substances, but also stimulate future research to close knowledge gaps identified during this work.
Wildschweine gehören zu den meist verbreiteten Huftieren der Welt. Die Wildschweinpopulation in Deutschland stieg in den letzten drei Jahrzehnten deutlich an. Heutzutage führt deren hohe Dichte zu Schäden auf landwirtschaftlichen Flächen und spielt eine wichtige Rolle bei der Ausbreitung von Krankheiten. Für ein effektives Wildschwein Management sind Informationen über absolute Populationszahlen von höchster Bedeutung. Es existieren verschiedene traditionelle Methoden wie z.B. die direkte Beobachtung der Tiere, das Zählen ihrer Losungen oder die Auswertung der Statistiken zu Jagderträgen, die nur relative Schätzungen oder Populationstrends liefern. Absolute Populationszahlen könnte der Fang-Markier-Wiederfang Ansatz hervorbringen. Nichtsdestotrotz ist das Fangen von Wildschweinen schwer zu realisieren und kostenaufwendig in Bezug auf die hierzu benötigten Arbeitskräfte und den Feldarbeitsaufwand.
Weiterhin sind die Fangwahrscheinlichkeiten heterogen aufgrund der Verhaltensvariabilitaet der Individuen, die durch Alter, Geschlecht und Erfahrung der Tiere bedingt ist. Nicht-invasive genetische Verfahren sind vielversprechender gegenüber den traditionellen Methoden der Populationsgrößenschätzung speziell für Wildschweine. Denn zum Einen reduzieren diese Methoden den Stressfaktor der Tiere und senken Fangfehler und zum Anderen erhöhen sie die Zahl indirekter Beobachtungen. Kot eignet sich sehr gut als DNS-Quelle für die Wildschwein Genotypisierung, da dieser eine nahezu gleiche Erfassungswahrscheinlichkeit für alle Tiere gewährleistet. Nichtsdestotrotz bringt das Arbeiten mit Kot Schwierigkeiten mit sich, die sich in in einer geringen DNS Qualität und Quantität oder Genotypisierungsfehlern äußern. Das Hauptziel der vorliegenden Arbeit war die Entwicklung einer zuverlässigen, kostengünstigen, reproduzierbaren und praktikablen Methode zur Genotypisierung von Wildschweinen. Diese Methode sollte einen zuverlässigen Genotypendatensatz liefern, der aus der Genotypisierung gesammelter Kotproben stammte. Individuelle Identifikation bildet die Basis für einen anzuwendenden Fang-Markierung-Wiederfang Ansatz. Da es bisher keine vergleichbaren Untersuchungen zu Populationsschätzungen von Wildscheinen gibt, fehlen Referenzdaten zum nicht-invasiven Ansatz. Daher wurden verschiedene Versuche zur Reduzierung und Quantifizierung der Genotypisierungsfehlerraten (GFR) getestet, verglichen und evaluiert. Um die Amplifizierungsrate zu erhöhen wurden Hälterungs- und DNS-Isolationsverfahre optimiert. Ein Schritt für Schritt Ansatz zur Bestimmung der minimal erforderlichen Anzahl von Mikrosatelliten Marker wurde entwickelt, welcher einen Test mit nahverwandten Individuen (Mütter und deren Föten) beinhaltete, um sogar diese voneinander zu unterscheiden. Ein so genanntes Multitube-Verfahren wurden angewendet um die GFR zu reduzieren. Die Quantifizierung von GFR aus erhobenen Datensätzen wurde evaluiert indem verschiedene Methoden zur GFR-Bestimmung getestet und miteinander verglichen wurden, hierbei ergaben sich GFR zwischen 0% bis 54%. Als Konsequenz dessen wurden die Kriterien für das Multitube-Verfahren verschärft, indem die Anzahl der Wiederholungen von homozygoten Proben erhöht wurde. Eine zusätzliche Validierung in Form eines Blindtests wurde etabliert, um die Zuverlässigkeit der Genotypisierung und Fehlerkorrekturen zu bekräftigen.
Abschließend wurde ein strikter und praktikabler Verfahrenvorschlag entwickelt, beginnend beim Sammeln der Kotproben und endend mit dem Erhalt eines zuverlässigen Datensatzes mit Genotypen einzelner Proben.
Die Ergebnisse der hier präsentierten Methode aus zwei Beprobungen 2006 und 2007 in einem 4000 ha großen Areal im Pfälzer Wald führte zu ungenauen Schätzungen mit hohen Konfidenzintervallen (KI). So lag die geschätzte Populationsgrösse in der Beprobung 2006 bei 215 Individuen, was 156-314 (KI 95%) Individuen entspricht. Die Populationsschätzung 2007 brachte 415 Individuen hervor, was 315-561 (KI 95%) Individuen entspricht. Dies ließ auf zu niedrige Stichproben (2006 betrug n = 141, 2007 n = 326), zu wenig erfolgreich analysierte Proben (2006 n = 89, 2007 n = 156) und/ oder zu wenig Wiederfänge (2006 n = 12, 2007 n = 24) schließen. Zudem ergaben die Schätzungen sogar deutlich höhere Populationszahlen als zuvor durch Jagderträge vermutet wurde, was auf eine uneffektive Bejagungsstrategie in dem Studienareal hindeutet. Für den zukünftigen Ausblick ist es unabdingbar die Stichprobenzahl deutlich zu erhöhen um die Validität und Reliabiltät der Populationsschätzungen zu gewährleisten, da diese für das Wildmanagement und die epidemiologischen Lösungsstrategien von höchster Bedeutung sind. Nichtsdestotrotz konnte die im Rahmen dieser Arbeit entwickelte Methode zur individuellen Wildschwein Genotypisierung erfolgreich etabliert werden. Die daraus resultierenden Datensets zur Modellierung von Populationschätzungen sind zuverlässig und weisen eine ausreichend geringe reale Genotypisierungsfehlerrate auf.
The establishment of aquatic alien species can strongly affect community and food web structure of the invaded systems and thus represents a major threat to native biodiversity. One of the most important aquatic invasive species in European rivers is the Ponto-Caspian amphipod Dikerogammarus villosus. The species invaded most of the major European waterways within two decades, often associated with a decline of many other macroinvertebrate species, including other amphipods. Based on laboratory results predation by the so called ‘killer shrimp’ is often regarded as the key driver for observed displacement effects, but recent studies indicated a minor relevance of predation by D. villosus in the field. To allow the determination of exact predator-prey interactions from field samples, I established 22 group-specific rDNA primers for freshwater taxa suitable for prey species identification in dietary samples (Chapter II) and an approach for the screening of D. villosus gut contents using 16 of these primers. Combining genetic gut content analyses, with one of these primers, and stable isotope analyses, I examined the importance of intraguild predation (IGP) by D. villosus, which is often assumed the key driver for the displacement of native amphipod species, at an invasion front of the species in Switzerland (Chapter III). The results of this study revealed a low importance of IGP during this particular D. villosus invasion and indicated an overall sparsely predacious feeding behaviour of the species. As the feeding behaviour of D. villosus is supposed to differ between habitats and this study was only conducted at a few sampling sites of one river, I also investigated the role of predation by D. villosus at multiple sites of the River Rhine system, covering a broad range of microhabitats (Chapter IV). In keeping with the results from the invasion front results of this study strongly indicated a sparsely predacious feeding but rather a flexible feeding behaviour of D. villosus even within the same microhabitat.
However, established populations of D. villosus have changed aquatic food webs and can be expected to affect aquatic-terrestrial energy fluxes. In Chapter V of my thesis, I present a field study investigating the impact of D. villosus on the diet of two riparian spider taxa. The results of this study indicate an effect of D. villosus on the terrestrial food web via cross-ecosystem resource flow.
In conclusion, D. villosus influences terrestrial food webs by altering cross-ecosystem resource fluxes, but it is rather an opportunistic omnivore than a predator in the field.
Biodiversity is not only threatened by habitat loss, climate change and pollution, but also by invasive species. The impact of introduced species is immense and causes substantial ecological and economical costs worldwide. With the start of domestications of the African wildcat (Felis lybica) in the Near East, the transport of house cats (Felis catus) around the world as a commensal and domesticate began. The general aim of my thesis was to investigate the impact of invasive feral cats on native species as well as underlying population genetic structures, diversity and phylogeography. This was studied in the context of the demographic history in Australia and Hawai'i. My studies confirmed that the main introductions of cats to Australia began in the 19th century via ships of European settlers, traders and workers. Similarly, I was able to confirm cat introductions to Hawai'i by European traders and explorers; which has to the present a devastating effect on Hawaiian endemic species. Likewise, cats are widespread across Australia, can be found on most islands and are recognized as one of the major threats to Australian native species. A selective feeding behaviour by invasive predators was found in one of my studies. This study additionally gives an indication for possible population recovery of small Western Australianrnvertebrate species after predator removal. Advancement and the combination of various management techniques allow, if adequately funded, a more efficient planning and implementation of eradication campaigns. Population genetic approaches are able to give insights into population genetic structure, diversity and kinship, thereby enabling management campaigns to be more cost effective and successful. No pattern of isolation by distance between populations of Hawai"i and Australia indicated that trade routes, such as the "Golden Round" of the maritime fur trade, facilitated a link between far off global cat populations. Multiple introductions to Australia and intermixing with domestic breed cats resulted in feral cat populations which showrnno signs of reduced genetic variability. My studies also revealed the advantages of bioproxies in combination with phylogeography, which enable the inference and reconstruction of introduction routes, history and origin of invasive species. Genetic signals of historically introduced genotypesrnare still discernible on islands with low number of introductions over time and thereby low intermixing with domestic fancy breeds. Feral cats' adaptability as an invader was reconfirmed and possible underlying genetic mechanisms enabling their success as a global invader ("global supercat") are discussed. Research into the feralisation process of cats will provide new information regarding the domestication of cats, the genetic basis of feralisation and allow additional insights into cats" adaptive potential.
The application of pesticides to agricultural areas can result in transport to adjacent non-target environments. In particular, surface water systems are likely to receive agricultural pesticide input. When pesticides enter aquatic environments, they may pose a substantial threat to the ecological integrity of surface water systems. To minimize the risk to non-target ecosystems the European Union prescribes an ecotoxicological risk assessment within the registration procedure of pesticides, which consists of an effect and an exposure assessment.
This thesis focuses on the evaluation of the exposure assessment and the implications to the complete regulatory risk assessment, and is based on four scientific publications. The main part of the thesis focuses on evaluation of the FOCUS modelling approach, which is used in regulatory risk assessment to predict pesticide surface water concentrations. This was done by comparing measured field concentrations (MFC) of agricultural insecticides (n = 466) and fungicides (n = 417) in surface water to respective predicted environmental concentrations (PEC) calculated with FOCUS step 1 to step 4 at two different levels of field relevance. MFCs were extracted from the scientific literature and were measured in field studies conducted primarily in Europe (publications 1 and 3).
In addition, an alternative fugacity-based multimedia mass-balance model, which needs fewer input parameters and less computing effort, was used to calculate PECs for the same insecticide MFC dataset and compared to the FOCUS predictions (publication 3). Furthermore, FOCUS predictions were also conducted for veterinary pharmaceuticals in runoff from an experimental plot study, to assess the FOCUS predictions for a different class of chemicals with a different relevant entry pathway (publication 2).
In publication 4, the FOCUS step-3 approach was used to determine relevant insecticide exposure patterns. These patterns were analysed for different monitoring strategies and the implications for the environmental risk assessment (publication 4).
The outcome of this thesis showed that the FOCUS modelling approach is neither protective nor appropriate in predicting insecticide and fungicide field concentrations. Up to one third of the MFCs were underpredicted by the model calculations, which means that the actual risk might be underestimated. Furthermore, the results show that a higher degree of realism even reduces the protectiveness of model results and that the model predictions are worse for highly hydrophobic and toxic pyrethroids.
In addition, the absence of any relationship between measured and predicted concentrations questions the general model performance quality (publication 1 and 3). Further analyses revealed that deficiencies in protectiveness and predictiveness of the environmental exposure assessment might even be higher than shown in this thesis, because actual short-term peak concentrations are only detectable with an event-related sampling strategy (publication 4). However, it was shown that the PECs of a much simpler modelling approach are much more appropriate for the prediction of insecticide MFC, especially for calculations with a higher field relevance (publication 3). The FOCUS approach also failed to predict concentrations of veterinary pharmaceuticals in runoff water (publication 2). In conclusion, the findings of this thesis showed that there is an urgent need for the improvement of exposure predictions conducted in the environmental risk assessment of pesticides as a group of highly relevant environmental chemicals, to ensure that the increasing use of those chemicals does not lead to further harmful effects in aquatic ecosystems.
The history of human kind is characterized by social conflict. Every conflict can be the starting point of social change or the escalation into more destructive forms. The social conflict in regard to rising numbers of refugees and their acceptance that arose in most host countries in 2015 already took on destructive forms – in Germany, right-wing extremists attacked refugee shelters and even killed multiple people, including political leaders who openly supported refugees. Thus, incompatible expectancies and values of different parts of the society led to violent action tendencies, which tremendously threaten intergroup relations. Psychological research has developed several interventions in past decades to improve intergroup relations, but they fall short, for example, when it comes to the inclusion of people with extreme attitudes and to precisely differentiate potential prosocial outcomes of the interventions. Thus, this dissertation aimed to a) develop psychological interventions, that could also be applied to people with more extreme attitudes, thereby putting a special emphasis on collecting a diverse sample; b) gain knowledge about target- and outcome specific effects: Who benefits from which intervention and how can specific prosocial actions be predicted in order to develop interventions that guide needs-based actions; and c) shed light on potential underlying mechanisms of the interventions.
The dissertation will be introduced by the socio-political background that motivated the line of research pursued, before providing an overview of the conceptualization of social conflicts and potential psychological inhibitors and catalyzers for conflict transformation. Based on past research on socio-psychological interventions and their limitations, the aims of the dissertation will be presented in more detail, followed by a short summary of each manuscript. Overall, the present thesis comprises four manuscripts that were summarized in the general discussion into a road map for social-psychological interventions to put them into a broader perspective. The road map aspires to provide recommendations for increasing – either approach-oriented or support-oriented actions – by the socio-psychological interventions for a variety of host society groups depending on their pre-existing attitude towards refugees.
A Paradoxical Intervention targeting central beliefs of people with negative attitudes towards refugees influenced inhibitory and catalyzing factors for conflict transformation over the course of three experiments – thereby providing an effective tool to establish approach-oriented action tendencies, such as the willingness to get in contact with refugees. Further, the dissertation presents a novel mechanism – namely Cognitive Flexibility – which could explain the Paradoxical Interventions’ effect of past research. By positively affecting a context-free mindset, the Paradoxical Intervention could impact more flexible thought processes in general, irrespective of the topic tackled in the Paradoxical Intervention itself. For people with rather positive attitudes addressing emotions may increase specific support-oriented action tendencies. The dissertation provides evidence of a positive relation between moral outrage and hierarchy-challenging actions, such as solidarity-based collective action, and sympathy with prosocial hierarchy-maintaining support-oriented actions, such as dependency-oriented helping. These exclusive relations between specific emotions and action intentions provide important implications for the theorizing of emotion-behavior relations, as well as for practical considerations. In addition, a diversity workshop conducted with future diplomats showed indirect effects on solidarity-based collective action via diversity perception and superordinate group identification, thereby extending past research by including action intentions and going beyond the focus on grassroot-initiatives by presenting an implementable intervention for future leaders in a real world context.
Taken together, this dissertation provides important insights for the development of socio-psychological interventions. By integrating a diverse sample, including members of institutions on meso- and macro-levels (non-governmental organizations and future politicians) of our society, this dissertation presents a unique multi-perspective of host society members on the social conflict of refugee acceptance and support. Thereby, this work contributes to theoretical and practical advancement of how social psychology can contribute not only to negative peace – by for example (indirectly) reducing support of violence against refugees – but also to positive peace – by for example investigating precursors of hierarchy-challenging actions that enable equal rights.
This thesis presents novel approaches for integrating context information into probabilistic models. Data from social media is typically associated with metadata, which includes context information such as timestamps, geographical coordinates or links to user profiles. Previous studies showed the benefits of using such context information in probabilistic models, e.g.\ improved predictive performance. In practice, probabilistic models which account for context information still play a minor role in data analysis. There are multiple reasons for this. Existing probabilistic models often are complex, the implementation is difficult, implementations are not publicly available, or the parameter estimation is computationally too expensive for large datasets. Additionally, existing models are typically created for a specific type of content and context and lack the flexibility to be applied to other data.
This thesis addresses these problems by introducing a general approach for modelling multiple, arbitrary context variables in probabilistic models and by providing efficient inference schemes and implementations.
In the first half of this thesis, the importance of context and the potential of context information for probabilistic modelling is shown theoretically and in practical examples. In the second half, the example of topic models is employed for introducing a novel approach to context modelling based on document clusters and adjacency relations in the context space. They can cope with areas of sparse observations and These models allow for the first time the efficient, explicit modelling of arbitrary context variables including cyclic and spherical context (such as temporal cycles or geographical coordinates). Using the novel three-level hierarchical multi-Dirichlet process presented in this thesis, the adjacency of ontext clusters can be exploited and multiple contexts can be modelled and weighted at the same time. Efficient inference schemes are derived which yield interpretable model parameters that allow analyse the relation between observations and context.
Software is vital for modern society. The efficient development of correct and reliable software is of ever-growing importance. An important technique to achieve this goal is deductive program verification: the construction of logical proofs that programs are correct. In this thesis, we address three important challenges for deductive verification on its way to a wider deployment in the industry: 1. verification of thread-based concurrent programs 2. correctness management of verification systems 3. change management in the verification process. These are consistently brought up by practitioners when applying otherwise mature verification systems. The three challenges correspond to the three parts of this thesis (not counting the introductory first part, providing technical background on the KeY verification approach). In the first part, we define a novel program logic for specifying correctness properties of object-oriented programs with unbounded thread-based concurrency. We also present a calculus for the above logic, which allows verifying actual Java programs. The calculus is based on symbolic execution resulting in its good understandability for the user. We describe the implementation of the calculus in the KeY verification system and present a case study. In the second part, we provide a first systematic survey and appraisal of factors involved in reliability of formal reasoning. We elucidate the potential and limitations of self-application of formal methods in this area and give recommendations based on our experience in design and operation of verification systems. In the third part, we show how the technique of similarity-based proof reuse can be applied to the problems of industrial verification life cycle. We address issues (e.g., coping with changes in the proof system) that are important in verification practice, but have been neglected by research so far.