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  • Wuppertal : Wuppertal Institut für Klima, Umwelt, Energie  (25)
  • Nature Research  (13)
  • 2015-2019  (38)
  • 1
    Publication Date: 2022-02-18
    Description: In the context of the German-Korean Energy Policy Dialogue, integration of renewable power sources and smart grids have been identified as topics with high relevance. This study aims to support mutual learning and exploration of new fields for collaboration by identifying similarities and differences in the respective status quos, strategies and policies in both countries. After a short introduction to the South Korean energy situation, Chapter 2 provides an overview of the South Korean power market, its situation regarding renewable power sources and the Korean definition of smart grids. Chapter 3 of this study highlights the major South Korean energy strategies and regulatory frameworks relevant to integration of renewable energies and smart grids. In Chapter 4, the status and perspectives of renewable energy sources integration and smart grids in South Korea are discussed, presenting various demonstrative examples, new business models and the current situation of technology deployment. Chapter 5 puts South Korea in the global context and compares it to Germany. Finally, Chapter 6 draws conclusions and presents recommendations on suitable areas for mutual learning.
    Keywords: ddc:600
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: English
    Type: report , doc-type:report
    Format: application/pdf
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  • 2
    Publication Date: 2021-03-19
    Description: Optical imaging is a common technique in ocean research. Diving robots, towed cameras, drop-cameras and TV-guided sampling gear: all produce image data of the underwater environment. Technological advances like 4K cameras, autonomous robots, high-capacity batteries and LED lighting now allow systematic optical monitoring at large spatial scale and shorter time but with increased data volume and velocity. Volume and velocity are further increased by growing fleets and emerging swarms of autonomous vehicles creating big data sets in parallel. This generates a need for automated data processing to harvest maximum information. Systematic data analysis benefits from calibrated, geo-referenced data with clear metadata description, particularly for machine vision and machine learning. Hence, the expensive data acquisition must be documented, data should be curated as soon as possible, backed up and made publicly available. Here, we present a workflow towards sustainable marine image analysis. We describe guidelines for data acquisition, curation and management and apply it to the use case of a multi-terabyte deep-sea data set acquired by an autonomous underwater vehicle.
    Type: Article , PeerReviewed
    Format: text
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  • 3
    Publication Date: 2022-02-18
    Description: While the Paris Agreement (PA) has enshrined ambitious long-term objectives, the current level of action of the Parties to the Agreement falls far short of this ambition, as is recognised in the very COP decision adopting the Agreement. The Global Stocktake (GST) established in Art. 14 of the PA is a key element to address this problem. Its purpose is to review the implementation of the PA and to assess the progress made towards the collectively agreed goals. The aim of this report is to develop recommendations on how to maximise the potential impact of the GST. The report starts from a perspective of what the GST could ideally do, irrespective of decisions already taken under the UNFCCC and other political constraints. In the second step, the report takes these limitations into account and suggests ways for how to nonetheless work towards the desired outcome.
    Keywords: ddc:320
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: English
    Type: report , doc-type:report
    Format: application/pdf
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  • 4
    Publication Date: 2022-01-31
    Description: Ecological impact of global change is generated by multiple synchronous or asynchronous drivers which interact with each other and with intraspecific variability of sensitivities. In three near-natural experiments, we explored response correlations of full-sibling germling families of the seaweed Fucus vesiculosus towards four global change drivers: elevated CO2 (ocean acidification, OA), ocean warming (OW), combined OA and warming (OAW), nutrient enrichment and hypoxic upwelling. Among families, performance responses to OA and OW as well as to OAW and nutrient enrichment correlated positively whereas performance responses to OAW and hypoxia anti-correlated. This indicates (i) that families robust to one of the three drivers (OA, OW, nutrients) will also not suffer from the two other shifts, and vice versa and (ii) families benefitting from OAW will more easily succumb to hypoxia. Our results may imply that selection under either OA, OW or eutrophication would enhance performance under the other two drivers but simultaneously render the population more susceptible to hypoxia. We conclude that intraspecific response correlations have a high potential to boost or hinder adaptation to multifactorial global change scenarios.
    Type: Article , PeerReviewed
    Format: text
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  • 5
    Publication Date: 2022-11-10
    Description: Alternative power initiatives are socio-ecological innovations that substantially contribute to city's sustainable development and, therefore, are of particular societal benefit and value. Cities should, consequently, have an inherent interest in their existence and proliferation. This, however, asks for strategic innovation management. While, acknowledgement of the project's innovativeness constitutes the precondition for management, in the further process of steering activity the tasks to reduce hurdles, create open space and support the project's capacities need to be mastered. Thereby, cities are increasingly asked to become innovative themselves in order to find ways to optimally make use of their available tools and capacities.
    Keywords: ddc:300
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: English
    Type: masterthesis , doc-type:masterThesis
    Format: application/pdf
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  • 6
    Publication Date: 2020-02-06
    Description: Despite the importance of deep-sea corals, our current understanding of their ecology and evolution is limited due to difficulties in sampling and studying deep-sea environments. Moreover, a recent re-evaluation of habitat limitations has been suggested after characterization of deep-sea corals in the Red Sea, where they live at temperatures of above 20 °C at low oxygen concentrations. To gain further insight into the biology of deep-sea corals, we produced reference transcriptomes and studied gene expression of three deep-sea coral species from the Red Sea, i.e. Dendrophyllia sp., Eguchipsammia fistula, and Rhizotrochus typus. Our analyses suggest that deep-sea coral employ mitochondrial hypometabolism and anaerobic glycolysis to manage low oxygen conditions present in the Red Sea. Notably, we found expression of genes related to surface cilia motion that presumably enhance small particle transport rates in the oligotrophic deep-sea environment. This is the first study to characterize transcriptomes and in situ gene expression for deep-sea corals. Our work offers several mechanisms by which deep-sea corals might cope with the distinct environmental conditions present in the Red Sea As such, our data provide direction for future research and further insight to organismal response of deep-sea coral to environmental change and ocean warming.
    Type: Article , PeerReviewed
    Format: text
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  • 7
    Publication Date: 2020-02-06
    Description: Despite the importance of deep-sea corals, our current understanding of their ecology and evolution is limited due to difficulties in sampling and studying deep-sea environments. Moreover, a recent re-evaluation of habitat limitations has been suggested after characterization of deep-sea corals in the Red Sea, where they live at temperatures of above 20 °C at low oxygen concentrations. To gain further insight into the biology of deep-sea corals, we produced reference transcriptomes and studied gene expression of three deep-sea coral species from the Red Sea, i.e. Dendrophyllia sp., Eguchipsammia fistula, and Rhizotrochus typus. Our analyses suggest that deep-sea coral employ mitochondrial hypometabolism and anaerobic glycolysis to manage low oxygen conditions present in the Red Sea. Notably, we found expression of genes related to surface cilia motion that presumably enhance small particle transport rates in the oligotrophic deep-sea environment. This is the first study to characterize transcriptomes and in situ gene expression for deep-sea corals. Our work offers several mechanisms by which deep-sea corals might cope with the distinct environmental conditions present in the Red Sea As such, our data provide direction for future research and further insight to organismal response of deep-sea coral to environmental change and ocean warming.
    Type: Article , PeerReviewed
    Format: text
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  • 8
    Publication Date: 2021-04-23
    Description: Prochlorococcus and Synechococcus are the dominant primary producers in marine ecosystems and perform a significant fraction of ocean carbon fixation. These cyanobacteria interact with a diverse microbial community that coexists with them. Comparative genomics of cultivated isolates has helped address questions regarding patterns of evolution and diversity among microbes, but the fraction that can be cultivated is miniscule compared to the diversity in the wild. To further probe the diversity of these groups and extend the utility of reference sequence databases, we report a data set of single cell genomes for 489 Prochlorococcus, 50 Synechococcus, 9 extracellular virus particles, and 190 additional microorganisms from a diverse range of bacterial, archaeal, and viral groups. Many of these uncultivated single cell genomes are derived from samples obtained on GEOTRACES cruises and at well-studied oceanographic stations, each with extensive suites of physical, chemical, and biological measurements. The genomic data reported here greatly increases the number of available Prochlorococcus genomes and will facilitate studies on evolutionary biology, microbial ecology, and biological oceanography.
    Type: Article , PeerReviewed
    Format: text
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  • 9
    Publication Date: 2022-11-10
    Description: In spite of current multiple political crises, global warming will remain a prime issue on the global agenda. The adoption of the Paris Agreement in 2015 and its quick ratification in 2016 have created a strong momentum for worldwide action against climate change. As global greenhouse gas emissions must decline towards levels close to zero by the middle of the century, the rapid decarbonisation of energy systems is high on the agenda of most countries around the globe. This publication delivers insights into cutting edge research on the necessary transitions towards low carbon societies and by this aims to contribute to international as well as national policymaking. The topics covered in more than 20 concise original articles are among the most important issues for progressing solutions for climate change and sustainable development. The papers discuss recent findings and case studies in the following subject areas: Governance of the necessary long-term transitions in the context of potential known and unknown adverse developments; Policy instruments and strategies that allow for financing the transition to low carbon economies and, at the same time, respond to today's economic and social challenges; Integrated strategies for three of the most important arenas of global decarbonisation: Cities, as much of the change and necessary investment for low carbon societies must take place, be planned, be financed and be built in cities; industry, particularly the energy-intensive processing industries, which are at the core of society's metabolism and are responsible for a large and growing share of global emissions and science as a whole, which must become more solutions-oriented because the transitions needed will rely heavily on research providing solutions for technological as well as societal problems. As a contribution to these great challenges and at the request of the G7 Environment Ministers, the Low Carbon Society Research Network (LCS-RNet) acts as a forum aimed at fostering research and policymaking to jointly achieve decarbonised energy systems in countries around the world. It convenes leading scientists, practitioners and policymakers and aims at supporting governments in proceeding jointly towards the design and implementation of climate-friendly low carbon societies.
    Keywords: ddc:600
    Repository Name: Wuppertal Institut für Klima, Umwelt, Energie
    Language: English
    Type: report , doc-type:report
    Format: application/pdf
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  • 10
    Publication Date: 2022-01-31
    Description: Predictive species distribution models are mostly based on statistical dependence between environmental and distributional data and therefore may fail to account for physiological limits and biological interactions that are fundamental when modelling species distributions under future climate conditions. Here, we developed a state-of-the-art method integrating biological theory with survey and experimental data in a way that allows us to explicitly model both physical tolerance limits of species and inherent natural variability in regional conditions and thereby improve the reliability of species distribution predictions under future climate conditions. By using a macroalga-herbivore association (Fucus vesiculosus - Idotea balthica) as a case study, we illustrated how salinity reduction and temperature increase under future climate conditions may significantly reduce the occurrence and biomass of these important coastal species. Moreover, we showed that the reduction of herbivore occurrence is linked to reduction of their host macroalgae. Spatial predictive modelling and experimental biology have been traditionally seen as separate fields but stronger interlinkages between these disciplines can improve species distribution projections under climate change. Experiments enable qualitative prior knowledge to be defined and identify cause-effect relationships, and thereby better foresee alterations in ecosystem structure and functioning under future climate conditions that are not necessarily seen in projections based on non-causal statistical relationships alone.
    Type: Article , PeerReviewed
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