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Despite growing research on sustainability transformations, our understanding of how transformative transdisciplinary research can support local actors who foster change towards sustainability is still somewhat limited. To contribute to this research question, I conducted research in a transdisciplinary case study in Southern Transylvania, where non-governmental organizations (NGO) drive sustainability initiatives to foster desired changes (e.g., supporting small-scale farmers or conserving natural and cultural heritage). Interactions with these local actors and reflections on my research question shaped the research of this dissertation, which I present in four papers. In paper 1, I conducted a literature review on amplification processes that describe actions, which local actors can apply to increase the impact of their sustainability initiatives. This is of interest in sustainability transformations research and practice because the impact of initiatives challenges incumbent regimes and consequently prepares transformations. I developed an integrated typology of amplification processes, which introduces new and innovative ways to conceptualize and study how initiatives increase their impact. The typology integrates theoretical insights on amplification processes from different frameworks that draw on diverse theories, such as resilience theory on transformations of social-ecological systems or sustainability transitions theory on transitions of socio-technical systems. This typology combines contemporary conceptualizations of amplification processes, informs transdisciplinary researchers working with local actors on increasing impact from initiatives, and has inspired debate and empirical research which contributes to theory development concerning amplifying impact of initiatives in diverse contexts. In paper 2, I conducted a literature review on the application of indigenous and local knowledge (ILK) in sustainability transformations research to understand whether this research engages with the conceptualization of transformations from local actors. The results show that ILK is generally applied to confirm and complement scientific knowledge in contexts of environmental, climate, social-ecological, and species change. Only four out of 81 papers (5%) applied ILK to conduct research on transformations. In addition, I identified four research clusters that apply ILK in contexts of transformation, transition, or change in Arctic, terrestrial, coastal, and grass and rangelands environments. Consequently, the review shows that only few empirical studies apply ILK to understand transformations. This indicates that sustainability transformations research lacks to include knowledge from local actors to conceptualize transformations, such as in the case of ILK. This has the potential to question scientific conceptualizations of transformations for theory development (e.g., resilience theory on transformations of social-ecological systems) and to enrich transformative transdisciplinary research. In paper 3, I derived principles that provide guidance for how to integrate sustainability initiatives from local actors in transformative transdisciplinary research. Based on my transdisciplinary research with the NGOs in Southern Transylvania and by using systems and futures thinking as an approach for analysis, I derived three principles that provide guidance for the co-design of sustainability intervention strategies that build on, strengthen, and complement existing initiatives from local actors. These principles contribute to transformative transdisciplinary research by highlighting and operationalizing the need to integrate initiatives from local actors to foster bottom-up, place-based transformations. In paper 4, I explored empirically how to identify relevant local actors for collaborations that seek to intervene in specific characteristics of a system (e.g., parameters or design of a system). I applied a leverage points’ perspective to analyse the social networks of the NGOs in Southern Transylvania that amplify the impact of their initiatives. My results suggest that there are two types of local actors for potential collaborations: local actors who have the ability to intervene in both shallow (i.e., parameters and feedbacks of a system) and deep (i.e., design and intent of a system) system characteristics, and local actors who have the ability to intervene only in specific system characteristics. In addition, my results indicate that the application of specific amplification processes is associated with the positions of local actors in their networks. Thus, paper 4 provides a novel methodological approach and first empirical insights for identifying potential relevant partners for specific system interventions. This supports in transformative transdisciplinary research the categorization of relations and networks of local actors according to the system characteristics that they address, and the selection of relevant partners for specific system interventions. This dissertation as a whole contributes insights to three recommendations of how transformative transdisciplinary research can support local actors fostering change towards sustainability: First, by conducting research that studies and supports local actors who increase the impact of their sustainability initiatives via amplification processes (Paper 1 and 4); Second, by engaging specifically with the initiatives, networks, and knowledge from local actors, who foster bottom-up, place-based transformations (Paper 1-4); Third, by identifying and collaborating with local actors that are relevant for strategic systems interventions that build on, strengthen, and complement existing initiatives (Paper 3-4). These three recommendations pave the way for an enhanced transformative transdisciplinary research that can potentially support local actors who with their initiatives, networks, and knowledge foster bottom-up, place-based sustainability transformations.

It is understood among research and policy makers that addressing unsustainable individual consumption patterns is key for the vision of sustainable development. Education for Sustainable Consumption (ESC) is attributed a pivotal role for this purpose, aiming to improve the capacity of individuals to connect to and act upon knowledge, values and skills in order to respond successfully and purposefully to the demands of sustainable consumption. Yet despite growing political, scientific, and educational efforts to foster more sustainable consumption practices through ESC, and increasing awareness about the negative ecological and socio-economic impacts of individual consumer behavior in the general population, little has been achieved to substantially change behavioral patterns so far. As part of the explanation for this shortcoming, it has been argued that current ESC practices have neglected the personal dimension of sustainable consumption, especially the affective-motivational processes underlying unsustainable consumption patterns. Against this background, this cumulative thesis is guided by the question how personal competencies for sustainable consumption can be defined, observed, and developed within educational settings. Special attention is given to mindfulness practices, describing the practice of cultivating a deliberate, unbiased and openhearted awareness of perceptible experience in the present moment. These practices have received growing attention within ESC as a means to stimulate competencies for sustainable consumption. Drawing upon an explorative, qualitative research methodology, the thesis looks at three different mindfulness-based interventions aiming to stimulate competencies for sustainable consumption, reaching out to a total number of 321 participants (employees and university students). In this thesis, I suggests to define personal competencies for sustainable consumption as abilities, proficiencies, or skills related to inner states and processes that can be considered necessary or sufficient to engage with sustainable consumption (SC). These include ethics, self-awareness, emotional resilience, selfcare, access to and cultivation of personal resources, access to and cultivation of ethical qualities, and mindsets for sustainability. It is argued that these competencies directly relate to those challenges individuals face when attempting to consume in a way that corresponds to their sustainability-related intentions or engage in SC-related learning activities. It provides evidence that the cultivation of (some of) these competencies allows individuals to overcome (some of) these challenges. The thesis holds that the observation of personal competencies benefits from a combination of different methodological and methodical angles. When working with self-reports as empirical data, a pluralistic qualitative methods approach can help overcoming shortcomings that are specifically related to individual methods while increasing the self-reflexivity of the research. This is especially important in order to reduce the risk of looking for desired outcomes and misinterpreting statements of the inquired population. This risk can also be diminished by discussing and adjusting interim findings with this population. Moreover, it is suggested to let learners analyze their own personal statements in groups, applying scientific methods. The products of the group analyses represent data based on an inter-subjectively shared perspective of learners that goes beyond self-estimation of personal competencies. In terms of developing personal competencies for SC, it can be concluded that mindfulness practice alone is not sufficient to build personal competencies for SC. While it can stimulate generic personal competencies, individuals do not necessarily apply these competencies within the domain of their consumption. Furthermore, even though the practice increases individuals’ self-awareness for current inner states and processes, practitioners do not seem to become aware of and reflect upon the more latent, personal predispositions out of which the current sensations occur. Nevertheless, mindfulness practice can play an important role in ESC, insofar as it lays the inner foundation to engage with sustainability-related issues. More precisely, it allows learners to experience the relevance of their inner states and processes and the influence they have on actual behaviors, leading to a level of selfawareness that would not be accessible solely through discursive-intellectual means. Furthermore, participants experience mindfulness practice as a way to develop ethical qualities and access psychological resources, entailing stronger emotional resilience and improved well-being. In order to unleash its full potential for stimulating personal competencies for SC, however, the findings of the thesis suggest that mindfulness practice should be (a) complemented with methodically controlled self-inquiry and (b) related to a specific behavioral change. In this vein, self-inquiry-based and self-experience-based learning – two pedagogical approaches developed during the period of research for this thesis – turned out to be promising pedagogies for educational settings striving to stimulate the development of personal competencies for SC. Overall, the thesis makes a novel contribution to the field of competency-based ESC by suggesting personal competencies for sustainable consumption as important and desirable learning outcomes of ESC practices Furthermore, it provides specific pedagogies and learning activities in order to achieve these learning outcomes. As such, the thesis answers to general calls from education for sustainable development scholars to take the inner, affective-motivational dimension of individuals into consideration and makes a first suggestion as to how this can be systematically achieved.

Global climate change and environmental degradation are largely caused by human activity, thus progress towards a sustainable future will require large-scale changes to human behavior. Human-nature connectedness—a measure of cognitive, emotional, spiritual and biophysical linkages to natural places—has been identified as a positive predictor of sustainability attitudes and behaviors. While calls to ‘reconnect to nature’ in order to foster sustainability outcomes have become common across science, policy and practice, there remains a great deal of uncertainty, speculation, and conceptual vagueness around how this ought to be implemented. The overarching aim of this thesis is to advance conceptual and empirical understandings of human-nature connectedness as a leverage point for proenvironmental outcomes and sustainability transformation. In particular, the thesis attempts to assess the nuances of the HNC-PEB relationship by investigating the scalar relationships between where someone feels connected to nature and where someone acts proenvironmentally. This research was conducted through conceptual exploration (Chapters II, III, IV, and VI), systematic literature reviews (Chapter I and V) using hierarchical cluster analysis, and empirical case studies (Chapters VII and VIII) relying on structural equation modeling and two-step cluster analysis. In this thesis, the relationship between humannature connectedness and pro-environmental attitudes and behaviors was investigated in a small microregion of Transylvania, Romania, where traditional relationships with the land and changing socio-economic characteristics provided an interesting case study in which to explore these connections. The key findings can be organized into three sections: Section A, which addresses human-nature connectedness and its potential for sustainability transformation; Section B, which addresses human-nature connectedness as a determinant of pro-environmental behavioral outcomes, and Section C, which explores the relationships between human-nature connectedness and energy conservation norms, attitudes, and behaviors. Results cumulatively suggest that human-nature connectedness is a multidimensional construct that requires greater integration across heterogeneous disciplinary and methodological boundaries in order to reach its potential for meaningful sustainability transformation. Results also highlight the critical need to adopt systemic approaches to understanding how interactions between human-nature connections, norms, attitudes, and behaviors are hindering or promoting sustainability outcomes. This thesis makes two main contributions to the literature: first, it considers the human-nature connectedness and pro-environmental behavior literature within a systems-thinking and VI sustainability transformation lens; and second, it extends the human-nature connectedness and pro-environmental behavior literature by investigating the multidimensional aspects of these constructs. Overall, these insights point to the deep leverage potential of humannature connectedness when conceptualized and operationalized as a multidimensional construct.

Wind energy is expected to become the largest source of electricity generation in Europe’s future energy mix with offshore wind energy in particular being considered as an essential component for secure and sustainable energy supply. As a consequence, future electricity generation will be exposed to an increasing degree to weather and climate. With planning and operational lifetimes of wind energy infrastructure reaching climate time scales, adaptation to changing climate conditions is of relevance to support secure and sustainable energy supply. Premise for success of wind energy projects is the ability to service financial obligations over the project lifetime. Though, revenues(viaelectricity generation) are exposed to changing climate conditions affecting the wind resource, operating conditions or hazardous events interfering with the wind energy infrastructure. For the first time, a procedure is presented to assess such climate change impacts specifically for wind energy financing. At first, a generalised financing chain for wind energy is prepared to(qualitatively) trace the exposure of individual cost elements to physical climate change. In this regard, the revenue through wind power production is identified as the essential component within wind energy financing being exposed to changing climate conditions. This implies the wind resource to be of crucial interest for an assessment of climate change impacts on the financing of wind energy. Therefore, secondly, a novel high-resolution experimental modelling framework with the non-hydrostatic extension of the regional climate model REMO is set up to generate physically consistent climate and climate change information of the wind resource across wind turbine operating altitudes. With this setup, enhanced simulated intra-annual and inter-annual variability across the lower planetary boundary layer is achieved, being beneficial for wind energy applications, compared to state-of-the-art regional climate model configurations. In addition, surrogate climate change experiments with this setup disclose vertical wind speed changes in the lower planetary boundary layer to be indirectly affected by temperature changes through thermodynamically-induced atmospheric stability alterations. Moreover, air density changes are identified to occasionally exceed the net impact of wind energy density changes originating from changes in wind speed. This supports the consideration of air density information (in addition to wind speed) for wind energy yiel assumptions. Thirdly, the generated climate and climate change information of the wind resource are transferred to a simplified but fully-fledged financial model to assess the financial risk of wind energy project financing with respect to changing climate conditions. Sensitivity experiments for an imaginary offshore wind farm located in the German Bight reveal the long-term profitability of wind energy project financing not to be substantially affected by changing wind resource conditions, but incidents with insufficient servicing of financial obligations experience changes exceeding -10% to 14%. The integration of wind energy-specific climate and climate change information into existing financial risk assessment procedures would illustrate a valuable contribution to enable climate change adaptation for wind energy. In particular information about intra-annual and inter-annual variability change of the wind resource originating from changing climate conditions permit the quantification of additional financial risk associated to debt repayment obligations and, subsequently, enable the development of suitable preventive economic measures. Though, additional efforts in combination with future technical development are necessary to provide essential additional information about the bandwidth of climate change and uncertainties associated to such sector-specific climate and climate change information.

Supporting sustainability transformation through research requires, in equal parts, knowledge about complex problems and knowledge that supports individual and collective action to change the system. Recasting the conditions, characteristics, and modes of research processes that address these needs leads to solution-oriented research in sustainability science. This is supported by systematically analyzing the system’s dynamics, envisioning the desired future target state, and by engaging and designing strategic pathways. In addition, learning and capacity building are important crosscutting processes for co-producing required knowledge. In research, we use sophisticated representations as mediators between theories and objects of interest, depicted as visualizations, models, and simulations. They simplify, idealize, and store large and dense amounts of information. Representations are already employed in the service of sustainability, e.g., in communication about climate change. Understanding them as tools to facilitate processes, dialogue, mutual learning, shared understanding, and communication can yield contributions to knowledge processes of analyzing, envisioning, and engaging, and has implications on the design of the sustainability solution. Therefore I ask, what role do representations and representational practices play in the generation of sustainability solutions in different knowledge processes? Four empirical case studies applying rough set analysis, multivariate statistics, systematic literature review, and expert interviews target this research question. The overall aim of this dissertation is to contribute to a stronger foundation and the role of representation in sustainability science. This includes: (i) to explore and conceptualize representations for the three knowledge processes along selected characteristics and mechanisms; (ii) to understand representational practices as tools and embedded into larger methodological frameworks; (iii) to understand the connection between representation and (mutual) learning in sustainability science. Results point toward crosscutting mechanisms of representations for knowledge processes and the need to build representational literacy to responsible design and participate in representational practices for sustainability.