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Institute
- Nachhaltigkeitsmgmt./-ökologie (49) (remove)
Algae-bacteria-based biotechnology has received more and more attention in recent years, especially in the subtropical and tropical regions, as an alternative method of conventional multistep wastewater treatment processes. Moreover, the algal biomass generated during wastewater treatment is regarded as a sustainable bioresource which could be used for producing biofuel, agricultural fertilizers or animal feeds. Although this technology is attractive, a number of obstacles need to be solved before large-scale applications. The main purposes of this work are to find more effective biomass harvesting strategies and develop high-effective algal-bacterial systems to improve wastewater treatment performance, biomass generation rate and biomass settleability. A wastewater-borne algal-bacterial culture, cultivated and trained through alternate mixing and non-mixing strategy, was used to treat pretreated municipal wastewater. After one month cultivation and training, the acclimatized algal-bacterial system showed high carbon and nutrient removal capacity and good settleability within 20 minutes of sedimentation. Algal biomass uptake was the main removal mechanism of nitrogen and phosphorus. The biomass productivity, nitrogen and phosphorus accumulation in biomass during the wastewater treatment process were investigated. The characterization of the microbial consortium composition in the enriched algal-bacterial system provided new insights in this research field. Aerobic activated sludge which already showed good settleability was used as bacterial inoculum to enhance the wastewater treatment performance and biomass settleability of algal-bacterial culture. The influence of different algae and sludge inoculum ratios on the treatment efficiency and biomass settleability was investigated. There was no significant effect of the inoculation ratios on the chemical oxygen demand (COD) removal. But algae/sludge inoculum ratio of 5 showed the best nitrogen and phosphorus removal efficiencies (91.0 ± 7.0% and 93.5 ± 2.5%, respectively) within 10 days. Furthermore, 16S rDNA gene analysis showed that the bacterial communities were varying with different algae and sludge inoculation ratios and some specific bacteria species were enriched during the operation. Four commonly used and high-potential microalgae species including one cyanobacteria (Phormidium sp.) and three green microalgae species (Chlamydomonas reinhardtii, Chlorella vulgaris and Scenedesmus rubescens) were cultivated and trained through alternate mixing and non-mixing strategy for tertiary municipal wastewater treatment. After one month of cultivation, the four microalgae species were compared in terms of biomass settleability, nutrient removal rates and biomass productivity. The three green microalgae showed good settleability within 1 h sedimentation and had higher biomass generation rates (above 6 g/m2/d). The nutrient removal efficiencies were 99% for the four selected microalgae species but within different retention time, resulting in 3.66 ± 0.17, 6.39 ± 0.20, 4.39 ± 0.06 and 4.31 ± 0.18 mg N/l/d (N removal rate) and 0.56 ± 0.07, 0.89 ± 0.05, 0.76 ± 0.09 and 0.60 ± 0.05 mg P/l/d (P removal rate) for Phormidium sp., Chlamydomonas reinhardtii, Chlorella vulgaris and Scenedesmus rubescens, respectively. A mixed algal culture composed of three selected high-effective green microalgae (Chlamydomonas reinhardtii, Chlorella vulgaris and Scenedesmus rubescens) was used for tertiary municipal wastewater treatment. The key biotic factor (algal inoculum concentration) and abiotic factors such as illumination cycle, mixing velocity and nutrient strength were studied. Based on the nitrogen and phosphorus balance, it was found that assimilation into algal biomass was the main removal mechanism.
The challenges of sustainable development have spurred the complexity of management reality, unveiling considerable risks and opportunities for companies. The past twenty years of development in management science and practice have refined the understanding of the linkages between corporate success and sustainability aspects of business. Nevertheless, numerous management tools and concepts have been criticised for failing to contribute to improved sustainability performance. Management accounting is an indispensable system for generating, preparing and providing information for recognising decision situations and informing decisions. Building on the relevance of information, sustainability accounting has received considerable attention in the past decade. Related research has emphasised the contribution of sustainability accounting to tackling sustainability challenges in specific settings. A systematic investigation of the role of sustainability accounting is virtually non-existent to date. To overcome this limitation and provide an insight into the practice of sustainability accounting and its role in sustainability management and ultimately in corporate success, this doctoral thesis approaches the question How does sustainability accounting contribute to improved information management and management control? The direct contribution is two-fold. First, a number of decision situations are explicated. Examples for such decision situations include utilising certain types of information for specific decisions, engaging various functions in different ways, etc. Making a decision within these decision situations was observed to contribute to achieving corporate goals. Second, the overarching view on the results reveals an interesting pattern. It is the existence of this pattern that supports the view that sustainability accounting can help companies in the pursuit of improved sustainability performance and (thereby) corporate success. The findings enable both practitioners and researchers gain an insight into how sustainability accounting can be deployed so that the company’s limited resources are focused on the crucial decisions in information management and management control. Subsequent recommendations are supported by up-to-date examples. The nature and the scope of the research constituting this doctoral thesis also highlight the path for future research to expand and refine the propositions made herein.
Responsibility for sustainability is an action guiding concept which relates the abstract norm of sustainability with concrete action contexts. It thereby specifies what bearers of responsibility ought to do. In this thesis, I introduce the concept of responsibility to economic theory, focusing specifically on individual and governmental responsibility for sustainability. Some of the questions I examine are: how should responsibility be distributed among agents? How can agents, who are responsible for several normative aims, solve trade-offs? Do governmental policies affect individuals’ ability to assume responsibility? How can individuals efficiently induce governments to act responsibly? In Paper 1, A utilitarian notion of responsibility for sustainability, I conceptualize and formalize a utilitarian notion of responsibility for sustainability which I then relate to established normative criteria for assessing intertemporal societal choice. I show that responsibility for sustainability can be unambiguously conceptualized in economic models. Furthermore, I affirm that responsibility may provide action guidance even if the aim of sustainability is not feasible. In Paper 2, Verantwortung von Konsumenten für Nachhaltigkeit, I study consumers’ responsibility for sustainability. Particularly, I specify crucial components of this responsibility in order to analyze the relation of consumers’ private and political responsibility. I show that the responsibility for sustainability of consumers comprises three indispensable obligations of which only one concerns consumers’ consumption choices. In Paper 3, Regulation of morally responsible agents with motivation crowding, I focus on the impact of governmental policies on the motivation of an individual to assume moral responsibility. In particular, I study the regulation of a morally responsible individual with motivation crowding in the context of a negative externality. I show that combining consumption taxes with the provision of perfect information is, in many cases, superior to consumption taxes alone. In Paper 4, Endogenous Environmental Policy when Pollution is Transboundary, I examine how individuals which form lobby groups affect the determination of environmental policy when governments seek not only to maximize welfare, but simultaneous maximize support by lobby groups. More specifically, I consider the case in which two countries are linked through transboundary pollution. Environmental policies adopted by self-interested governments may be more stringent than by social welfare maximizing governments. Furthermore, due to the interaction of distortions the space of optimal policies increases: politically optimal tax rates may be too high or too low to optimally internalize the environmental externality.
The role of tree diversity for individual tree growth, crown architecture and branch demography
(2012)
In the light of the concurrent loss of biodiversity, biodiversity and ecosystem functioning (BEF) research attracted a great deal of attention and emerged as one of the important fields of research in ecology. Since important ecological interactions such as competition occur between individuals, the understanding of individual tree growth was considered to be fundamental for forest related BEF research. Individual tree growth is determined by the above- and belowground interactions of a tree individual with its local neighbourhood. To obtain a deeper understanding of BEF relationships, I broadened the focus from individual tree growth (usually measured as diameter or biomass increment) to the arrangement and dynamics of the above-ground modules of trees in dependence of their local neighbourhood. More precisely, the main objective of the present thesis was to analyse the impact of tree diversity on individual tree growth, crown architectural and branch demographic variables. Thereby I considered crown architectural variables as important indicators of the competition for light. In addition, crown architectural variables impacted ecosystem services such as erosion control. Furthermore, the results of the present thesis contributed to the current discussion on species coexistence theories, which may be differentiated by two opposing views: one that relies on neutral processes and one that implicates a role for meaningful differences in the ecological strategy (niche) of co-occurring species. The studied forest ecosystems were the subtropical broad-leaved evergreen forests of southeast China, which have been under high human pressure due to a long history of intensive land-use. The area is of particular interest for BEF research due to the high species richness of woody plants, including many, yet poorly studied species, and due to the rough terrain with steep slopes, which cause severe soil erosion. The present thesis combines three observational with two experimental studies, applying the local neighbourhood approach along an age gradient from tree saplings to mature trees. In the Gutianshan National Nature Reserve (GNNR), I conducted two observational studies on permanent plots which were chosen according to a space-for-time substitution design. The aim of the first study was to reveal the effects of diversity (species richness, functional diversity) together with other biotic and abiotic variables on morphological growth parameters (crown area, crown displacement and stem inclination) of target trees of four tree species (Castanea henryi, Castanopsis eyrei, Quercus serrata and Schima superba). In the second study, the same target trees together with their neighbours were used to analyse the relation between stand related functional diversity and the horizontal and vertical structure of the canopy. The third study was conducted in a young secondary broad-leaved evergreen forest. Using two target species (Castanopsis fargesii and Quercus fabri), the role of diversity, intra- vs. inter-specific competition and the mode of competition (symmetric vs. asymmetric) on the target individuals was tested by analysing five-year radial growth increments. The two other studies were carried out in an experimentally established plantation, using saplings of four tree species (C. henryi, Elaeocarpus decipiens, Q. serrata and S. superba), which were planted in monoculture, twoand four-species combinations and in three densities. The fourth study focused on mechanisms of coexistence and the role of species richness, species composition, species identity and density on sapling growth. The fifth study tested the effect of sapling density and identity on the througfall kinetic energy, which represents a measure for the erosive power of rain. It was found that functional diversity does affect crown architectural and canopy related parameters of forests in the GNNR. However, no effects of species richness on radial-growth were detected in the younger forest. Since I also did not find strong effects of species richness on saplings in the experimental plantation, diversity effects may evolve at a later age stage. The importance of the diversity effect may be related reversely to that of species identity in an age gradient of forest stands. The findings suggest that different mechanisms of coexistence operate simultaneously but that their relative importance may shift through the life stages of trees. During the sapling stage, species-specific differences in growth and architectural traits support niche theory. In older forest stands, no species-specific differences in growth parameters could be detected. However, I did find effects of functional diversity on horizontal canopy structure. I conclude that mechanisms of coexistence may not only change with forest stand age, but may also differ for distinct traits. The present thesis, being the first to apply the local neighbourhood approach with regard to crown architecture and branch demography within the BEF field of research, stresses the importance of this individual based approach. Although the observed forest systems are very complex, crown architectural and canopy structural variables were found to be affected by diversity. The finding that the degree of erosive power of rain could be elucidated by crown architectural variables, encourages further studies to reveal possible relations between biodiversity and other ecosystem functions or services, which might be mediated by crown architectural and canopy structural variables.
The aim of our work was to investigate the habitat preferences of, and specific management measures for, the endangered spider species Eresus kollari Rossi 1846 and the eurytopic species Trochosa terricola Thorell 1856. For this purpose extensive field study data were collected for both spider species in the area of the nature reserve Lueneburg Heath. The ecological niches of the two spider species were also compared. The specific habitat preference of E. kollari was clarified and described in the course of the present studies. Heathland management measures that result in a thin organic layer on the ground, a high temperature at the depth of the spiders’ burrows (10 cm below ground level), and at the same time a relatively high heath cover satisfy the habitat requirements of E. kollari. Comparing the ecological niche of the stenotopic species E. kollari with that of the eurytopic species T. terricola in terms of habitat parameters demonstrated that the two species only differ in the following three factors: ‘tree cover’, ‘thickness of organic layer’ and ‘grass cover’. The reaction scheme of E. kollari appears as a subset of that of T. terricola. In this respect, E. kollari could serve not only as a characteristic species but also as an umbrella species in the Lueneburg Heath region. Against the background of the findings of the habitat modeling, management measures such as prescribed burning and choppering - carried out variably in space and time – seem to be particularly appropriate for maintaining E. kollari’s (but also T. terricola’s) microhabitat requirements in the long term. Due to the poor dispersal power of E. kollari some suitable habitats will probably not be re-colonized by the species. However, long-term monitoring as well as a recolonization experiment for this species should be carried out in the near future in areas providing suitable conditions for lasting conservation of E. kollari in this region of northwest Germany.
Stoffstromnetzbasierte Optimalplanung des Ressourceneinsatzes industrieller Produktionssysteme
(2011)
Die Steigerung ihrer Ressourceneffizienz ist heute für viele Unternehmen des produzierenden Gewerbes sowohl aus Gründen des Umweltschutzes als auch zur Steigerung ihrer Wettbewerbsfähigkeit ein wichtiges Anliegen. Als ein in vielfältiger Hinsicht geeignetes Planungsinstrument für das industrielle Energie- und Stoffstrommanagement hat sich in den letzten Jahren die in den 1990er Jahren entwickelte Methode der Stoffstromnetze erwiesen. Ihr Manko besteht hauptsächlich darin, dass bislang keine automatische Suche nach Systemkonfigurationen mit optimalem Ressourcenverbrauch möglich ist. Gängige Optimierungsmethoden des Operations Research wie die mathematische Programmierung sind hierfür prinzipiell geeignet. Aufgrund ihres hohen Abstraktionsniveaus lassen sie sich jedoch nur schwer in betriebliche Planungsprozesse, insbesondere in mittelständischen Unternehmen, einbinden. Daher wird in dieser Arbeit eine neuartige Methode für die Optimalplanung industrieller Produktionssysteme entwickelt, die die Vorteile der Stoffstromnetze mit denen der Parameteroptimierung verbindet: die stoffstromnetzbasierte Optimalplanung. Als formale Schnittstelle zwischen Stoffstromanalyse und Operations Research wird durch die Einbettung eines Stoffstromnetzes in ein Parameteroptimierungsproblem das stoffstromnetzbasierte Optimierungsproblem (SSNOP) definiert. Dabei wird deutlich, dass aus der methodischen Integration nur dann ein sinnvolles Planungswerkzeug resultiert, wenn auch die jeweiligen Modellierungsparadigmen von Stoffstromanalyse und Optimalplanung miteinander verschmolzen werden. Das SSNOP ermöglicht daher nicht nur die angestrebte Erweiterung des Stoffstrommanagements um den Aspekt der automatischen Systemoptimierung. Es induziert darüber hinaus einen Perspektivwechsel von der traditionell eher beschreibenden zu einer entscheidungsorientierten Stoffstromanalyse. Nur durch die systematische Berücksichtigung der Freiheitsgrade eines Produktionssystems in Form von vorhandenen oder potenziellen Handlungs- und Gestaltungsspielräumen entstehen Stoffstrommodelle, die gleichzeitig als Optimierungsmodelle einsetzbar sind. Weiterhin werden in dieser Arbeit konkrete Lösungsansätze für das SSNOP untersucht. In Abhängigkeit von den Eigenschaften des eingebetteten Stoffstromnetzes gibt es zwei Möglichkeiten für die Optimierung: Einerseits die algebraische Reformulierung als mathematisches Programm, welches anschließend mit analytischen Optimierungsalgorithmen gelöst werden kann, andererseits die Anwendung direkter Suchalgorithmen im Rahmen einer simulationsbasierten Optimierung. Weiterhin wird ein Optimierungsmodul für eine stoffstromnetzbasierte Stoffstromanalysesoftware konzipiert, welches beide Lösungsansätze integriert. Mittels numerischer Experimente wird schließlich die Eignung verschiedener direkter Optimierungsalgorithmen zur Lösung des SSNOP untersucht.
Als Fallstudie wird im ersten Paper der Einsatz der Szenarioanalyse als ein zentrales Element des Forschungsdesigns im Projekt „Sustainable University“ beleuchtet. Mit einem formalen Ansatz wurden Szenarien zum zukünftigen Umfeld der Hochschullandschaft entwickelt. Dieses Paper zeigt detailliert die notwendigen Denkschritte bei der Szenarioentwicklung auf und hilft zu verstehen, an welchen Punkten Integrationsschritte in Bezug auf Wissensarten und Perspektiven unterstützt und geleistet werden und somit auch (soziale) Lernprozesse gefördert werden können. Ferner werden die konkreten Ergebnisse der Szenarioanalyse vorgestellt und diskutiert. Zur Untersuchung von Lerneffekten wird die Methode der Szenarioanalyse in einen formalen Bildungskontext transferiert. Das zweite Paper leistet einen konzeptionellen Beitrag. Einleitend werden spezifische individuelle Kompetenzen diskutiert, die aus der Perspektive der Bildung für eine nachhaltige Entwicklung zum Umgang mit dem Klimawandel als komplexes Nachhaltigkeitsproblem und zu einer aktiven Teilnahme an Transformationsprozessen der Gesellschaft wichtig sind. Die Kompetenzen, wie proaktives Denken, der Umgang mit Unsicherheiten und unterschiedlichen Wissensbeständen sowie das vernetze Denken konnten hier beschrieben werden. Anschließend werden zwei Forschungsmethoden, der Syndromansatz und die Szenarioanalyse, für den Kontext der formalen Bildung nutzbar gemacht, und es wird theoretisch abgeleitet, wie in diesen Lernsettings die eingangs identifizierten Kompetenzen gefördert werden können. Die Szenarioanalyse bietet beispielsweise beim Denkschritt der Entwicklung von Zukunftsprojektionen großes Potential für Reflexionsprozesse oder die Integration von Wissen und Perspektiven zur Förderung der Kompetenz des proaktiven Denkens in Alternativen. Die diskursive Bewertung von Konsistenzen während der Szenarioerstellung birgt ähnliches Potential zur Förderung des vernetzten Denkens. Im dritten Paper wird ein Messinstrument für die Kompetenz des vernetzen Denkens (systems thinking) entwickelt. Es leistet einen empirischen Beitrag zur Lehr-Lernforschung, respektive zur Kompetenzmessung im Bereich der BNE. Dieses Instrument erfasst mit Hilfe eines Similarity Judgment Tests (SJT) den Grad der Vernetzung von Konzepten eines bestimmten Kontextes, in dem konkreten Fall von Aspekten des Klimawandels. In einer prä-post-Studie wurden zwei Kontroll und zwei Versuchsgruppen, die an dem zuvor genannten Lernsetting im Rahmen von Seminaren an der Leuphana Universität Lüneburg teilgenommen haben, empirisch begleitet. Auch wenn keine statistisch signifikanten Veränderungen des vernetzten Denkens der Teilnehmenden nachgewiesen werden konnten, bedeutet das nicht, dass die zuvor abgeleiteten Einflüsse der Szenarioanalyse widerlegt sind. Hier sind weitere Studien und die Weiterentwicklung des Messinstruments nötig. Zudem wurde nur ein Teil möglicher Einflüsse auf die Kompetenzentwicklung untersucht. Für die Szenarioanalyse als Lernsetting lässt sich schlussfolgern, dass zum einen der Moderation von Reflexions- und Diskussionsprozessen während unterschiedlicher Phasen eine sehr wichtige Rolle zukommt und sie einen wesentlichen Einfluss auf Lernprozesse hat. Zum anderen ist den Phasen, in denen Lernen stattfinden kann, genügend Zeit einzuräumen, so dass transdisziplinäre oder interdisziplinäre Forschungsprozesse mit der Methode Szenarioanalyse auch das Potential für Lernprozesse entfalten können. So kann mit Hilfe der Szenarioanalyse ein Setting geschaffen werden, in dem individuelle mentale Modelle und Handlungsmuster hinterfragt und Kompetenzen im Umgang mit komplexen Problemen gefördert werden, und somit individuelles und soziales Lernen für eine nachhaltige Entwicklung stattfinden kann.
Der Klimawandel wird die Gesellschaft in Zukunft immer stärker beeinflussen. In der Arbeit wird untersucht, wie die direkten Auswirkungen und die daran anschließenden Klimaschutz- und Anpassungsmaßnahmen regionale Konfliktsituationen verändern können. Untersucht werden bisherige Konflikte des Tourismussektors mit anderen nicht-touristischen Akteursgruppen sowie mögliche Konfliktpotenziale durch den Klimawandel am Beispiel der Destinationen Schwarzwald und schleswig-holsteinische Nordseeküste. Qualitative Experteninterviews geben Hinweise darauf, dass besonders die Mitigations- und Anpassungsmaßnahmen, die sonst eher als Konfliktlösung eine Rolle spielen, ein bedeutendes und bisher unterschätztes Konfliktpotenzial bergen. Formelle Verfahren, aber auch eine zusätzliche informelle Beteiligung werden von den Akteuren vor Ort als Konfliktregelungsmechanismen befürwortet.