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  • 1
    Signatur: AWI Bio-23-95302
    Beschreibung / Inhaltsverzeichnis: Climate change of anthropogenic origin is affecting Earth’s biodiversity and therefore ecosystems and their services. High latitude ecosystems are even more impacted than the rest of Northern Hemisphere because of the amplified polar warming. Still, it is challenging to predict the dynamics of high latitude ecosystems because of complex interaction between abiotic and biotic components. As the past is the key to the future, the interpretation of past ecological changes to better understand ongoing processes is possible. In the Quaternary, the Pleistocene experienced several glacial and interglacial stages that affected past ecosystems. During the last Glacial, the Pleistocene steppe-tundra was covering most of unglaciated northern hemisphere and disappeared in parallel to the megafauna’s extinction at the transition to the Holocene (~11,700 years ago). The origin of the steppe-tundra decline is not well understood and knowledge on the mechanisms, which caused shifts in past communities and ecosystems, is of high priority as they are likely comparable to those affecting modern ecosystems. Lake or permafrost core sediments can be retrieved to investigate past biodiversity at transitions between glacial and interglacial stages. Siberia and Beringia were the origin of dispersal of the steppe-tundra, which make investigation this area of high priority. Until recently, macrofossils and pollen were the most common approaches. They are designed to reconstruct past composition changes but have limit and biases. Since the end of the 20th century, sedimentary ancient DNA (sedaDNA) can also be investigated. My main objectives were, by using sedaDNA approaches to provide scientific evidence of compositional and diversity changes in the Northern Hemisphere ecosystems at the transition between Quaternary glacial and interglacial stages. In this thesis, I provide snapshots of entire ancient ecosystems and describe compositional changes between Quaternary glacial and interglacial stages, and confirm the vegetation composition and the spatial and temporal boundaries of the Pleistocene steppe-tundra. I identify a general loss of plant diversity with extinction events happening in parallel of megafauna’ extinction. I demonstrate how loss of biotic resilience led to the collapse of a previously well-established system and discuss my results in regards to the ongoing climate change. With further work to constrain biases and limits, sedaDNA can be used in parallel or even replace the more established macrofossils and pollen approaches as my results support the robustness and potential of sedaDNA to answer new palaeoecological questions such as plant diversity changes, loss and provide snapshots of entire ancient biota.
    Beschreibung / Inhaltsverzeichnis: Der vom Menschen verursachte Klimawandel wirkt sich auf die biologische Vielfalt der Erde und damit auf die Ökosysteme und ihre Leistungen aus. Die Ökosysteme in den hohen Breitengraden sind aufgrund der verstärkten Erwärmung an den Polen noch stärker betroffen als der Rest der nördlichen Hemisphäre. Dennoch ist es schwierig, die Dynamik von Ökosystemen in den hohen Breitengraden vorherzusagen, da die Wechselwirkungen zwischen abiotischen und biotischen Komponenten sehr komplex sind. Da die Vergangenheit der Schlüssel zur Zukunft ist, ist die Interpretation vergangener ökologischer Veränderungen möglich, um laufende Prozesse besser zu verstehen. Im Quartär durchlief das Pleistozän mehrere glaziale und interglaziale Phasen, welche die Ökosysteme der Vergangenheit beeinflussten. Während des letzten Glazials bedeckte die pleistozäne Steppentundra den größten Teil der unvergletscherten nördlichen Hemisphäre und verschwand parallel zum Aussterben der Megafauna am Übergang zum Holozän (vor etwa 11 700 Jahren). Der Ursprung des Rückgangs der Steppentundra ist nicht gut erforscht, und die Kenntnis über die Mechanismen, die zu den Veränderungen in den vergangenen Lebensgemeinschaften und Ökosystemen geführt haben, ist von hoher Priorität, da sie wahrscheinlich mit denen vergleichbar sind, die sich auf moderne Ökosysteme auswirken. Durch die Entnahme von See- oder Permafrostkernsedimenten kann die vergangene Artenvielfalt an den Übergängen zwischen Eis- und Zwischeneiszeiten untersucht werden. Sibirien und Beringia waren der Ursprung der Ausbreitung der Steppentundra, weshalb die Untersuchung dieses Gebiets hohe Priorität hat. Bis vor kurzem waren Makrofossilien und Pollen die gängigsten Methoden. Sie dienen der Rekonstruktion vergangener Veränderungen in der Zusammensetzung der Bevölkerung, haben aber ihre Grenzen und Schwächen. Seit Ende des 20. Jahrhunderts kann auch sedimentäre alte DNA (sedaDNA) untersucht werden. Mein Hauptziel war es, durch den Einsatz von sedaDNA-Ansätzen wissenschaftliche Beweise für Veränderungen in der Zusammensetzung und Vielfalt der Ökosysteme der nördlichen Hemisphäre am Übergang zwischen den quartären Eiszeiten und Zwischeneiszeiten zu liefern. In dieser Arbeit liefere ich Momentaufnahmen ganzer alter Ökosysteme und beschreibe die Veränderungen in der Zusammensetzung zwischen Quartärglazialen und Interglazialen und bestätige die Vegetationszusammensetzung sowie die räumlichen und zeitlichen Grenzen der pleistozänen Steppentundra. Ich stelle einen allgemeinen Verlust der Pflanzenvielfalt fest, wobei das Aussterben der Pflanzen parallel zum Aussterben der Megafauna verlief. Ich zeige auf, wie der Verlust der biotischen Widerstandsfähigkeit zum Zusammenbruch eines zuvor gut etablierten Systems führte, und diskutiere meine Ergebnisse im Hinblick auf den laufenden Klimawandel. Mit weiteren Arbeiten zur Eingrenzung von Verzerrungen und Grenzen kann sedaDNA parallel zu den etablierteren Makrofossilien- und Pollenansätzen verwendet werden oder diese sogar ersetzen, da meine Ergebnisse die Robustheit und das Potenzial von sedaDNA zur Beantwortung neuer paläoökologischer Fragen wie Veränderungen der Pflanzenvielfalt und -verluste belegen und Momentaufnahmen ganzer alter Biota liefern.
    Materialart: Dissertationen
    Seiten: vi, 217 Seiten , Illustrationen, Diagramme, Karten
    Sprache: Englisch
    Anmerkung: Dissertation, Universität Potsdam, 2023 , TABLE OF CONTENTS Acknowledgements Summary Zusammenfassung 1 General introduction 1.1 A changing world 1.1.1 Global changes of anthropogenic origin 1.1.2 Amplified crisis in the high latitudes 1.2 The past is the key to the future 1.2.1 The Quaternary glacial and interglacial stages 1.2.2 The Beringia study case 1.3 Investigating past biodiversity 1.3.1 Traditional tools 1.3.2 Newest sedaDNA proxies 1.4 Motivation and aims of the thesis 1.5 Structure of the thesis 1.6 Author’s contributions 2 Manuscript I 2.1 Abstract 2.2 Introduction 2.3 Materials and Methods 2.3.1 Geographical settings 2.3.2 Fieldwork and subsampling 2.3.3 Core splicing and dating 2.3.4 Sediment-geochemical analyses 2.3.5 Pollen analysis 2.3.6 Molecular genetic preparation 2.3.7 Processing of sedaDNA data 2.3.8 Statistical analysis and visualization 2.4 Results 2.4.1 Age model 2.4.2 Sediment-geochemical core composition 2.4.3 Pollen stratigraphy 2.4.4 sedaDNA composition 2.4.5 Comparison between pollen and sedaDNA 2.4.6 Taxa richness investigation 2.5 Discussion 2.5.1 Proxy validation 2.5.2 Vegetation compositional changes in response to climate inferred from pollen and sedaDNA records 2.5.3 The steppe-tundra of the Late Pleistocene 2.5.4 The disrupted Pleistocene-Holocene transition 2.5.5 The boreal forest of the Holocene 2.5.6 Changes in vegetation richness through the Pleistocene/Holocene transition inferred from the sedaDNA record 2.6 Conclusion Data availability statement Funding References 3 Manuscript II 3.1 Abstract 3.2 Introduction 3.3 Material and Method 3.3.1 Site description and timeframe 3.3.2 Sampling, DNA extraction and PCR 3.3.3 Filtering and cleaning dataset 3.3.4 Identification of taxa – species signal 3.3.5 Resampling 3.3.6 Assessment of the species pool stability 3.3.7 Quantification of extinct and extirpated taxa 3.3.8 Characterisation of species and candidate species 3.4 Results 3.4.1 Changes in the composition and species pool at the Pleistocene - Holocene transition 3.4.2 Decrease in the regional plant species richness between the Pleistocene and the Holocene 3.4.3 Identification of loss taxa events 3.4.4 Characterisation of lost taxa 3.5 Discussion 3.5.1 Biotic and abiotic changes in the ecosystem - a cocktail for extinction 3.5.2 Identification and quantification of potential plant taxa loss 3.5.3 Characterisation of potential taxa loss 3.5.4 Limits of the method 3.5.5 Conclusions and perspectives Funding References 4 Manuscript III 4.1 Abstract 4.2 Introduction 4.3 Material & Methods 4.3.1 Fieldwork and subsampling 4.3.2 Chronology 4.3.3 Pollen analysis 4.3.4 Isolation of sedimentary ancient DNA 4.3.5 Metabarcoding approach 4.3.6 Shotgun approach 4.3.7 Bioinformatic processing 4.4 Results 4.4.1 General results of the three approaches: pollen, metabarcoding and shotgun sequencing 4.4.2 Plants (Viridiplantae) 4.4.3 Fungi 4.4.4 Mammals (Mammalia) 4.4.5 Birds (Aves) 4.4.6 Insects (Insecta) 4.4.7 Prokaryotes (Bacteria, Archaea) and Viruses 4.5 Discussion 4.5.1 Interglacial communities 4.5.2 Glacial communities 4.5.3 Potential and limitations of the sedaDNA shotgun approach applied to ancient permafrost sediments 4.6 Conclusions Data availability statement Funding References 5 Synthesis 5.1 Ecological changes between glacial and interglacial stages 5.1.1 Changes in the compositional structure 5.1.2 Loss of plant diversity 5.1.3 Potential drivers of change 5.2 High potential of sedaDNA for past biodiversity reconstruction 5.3 Conclusions and future perspectives Bibliography Appendices Appendix 1: Supplementary material for Manuscript I Appendix 2: Supplementary material for Manuscript II Appendix 3: Supplementary material for Manuscript III Appendix 4: Manuscript IV Eidesstattliche Erklärung
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  • 2
    Signatur: AWI G3-24-95700
    Beschreibung / Inhaltsverzeichnis: With Arctic ground as a huge and temperature-sensitive carbon reservoir, maintaining low ground temperatures and frozen conditions to prevent further carbon emissions that contrib-ute to global climate warming is a key element in humankind’s fight to maintain habitable con-ditions on earth. Former studies showed that during the late Pleistocene, Arctic ground condi-tions were generally colder and more stable as the result of an ecosystem dominated by large herbivorous mammals and vast extents of graminoid vegetation – the mammoth steppe. Characterised by high plant productivity (grassland) and low ground insulation due to animal-caused compression and removal of snow, this ecosystem enabled deep permafrost aggrad-ation. Now, with tundra and shrub vegetation common in the terrestrial Arctic, these effects are not in place anymore. However, it appears to be possible to recreate this ecosystem local-ly by artificially increasing animal numbers, and hence keep Arctic ground cold to reduce or-ganic matter decomposition and carbon release into the atmosphere. By measuring thaw depth, total organic carbon and total nitrogen content, stable carbon iso-tope ratio, radiocarbon age, n-alkane and alcohol characteristics and assessing dominant vegetation types along grazing intensity transects in two contrasting Arctic areas, it was found that recreating conditions locally, similar to the mammoth steppe, seems to be possible. For permafrost-affected soil, it was shown that intensive grazing in direct comparison to non-grazed areas reduces active layer depth and leads to higher TOC contents in the active layer soil. For soil only frozen on top in winter, an increase of TOC with grazing intensity could not be found, most likely because of confounding factors such as vertical water and carbon movement, which is not possible with an impermeable layer in permafrost. In both areas, high animal activity led to a vegetation transformation towards species-poor graminoid-dominated landscapes with less shrubs. Lipid biomarker analysis revealed that, even though the available organic material is different between the study areas, in both permafrost-affected and sea-sonally frozen soils the organic material in sites affected by high animal activity was less de-composed than under less intensive grazing pressure. In conclusion, high animal activity af-fects decomposition processes in Arctic soils and the ground thermal regime, visible from reduced active layer depth in permafrost areas. Therefore, grazing management might be utilised to locally stabilise permafrost and reduce Arctic carbon emissions in the future, but is likely not scalable to the entire permafrost region.
    Materialart: Dissertationen
    Seiten: X, 104, A-57 Seiten , Illustrationen, Diagramme
    Sprache: Englisch
    Anmerkung: Dissertation, Universität Potsdam, 2024 , Table of contents ABSTRACT ZUSAMMENFASSUNG ABBREVIATIONS AND NOMENCLATURE CHAPTER 1: INTRODUCTION 1.1 SCIENTIFIC BACKGROUND 1.1.1 ARCTIC GROUND 1.1.2 THE PHENOMENON OF PERMAFROST 1.1.3 ARCTIC NON - PERMAFROST AREAS 1.1.4 HYPOTHESIS 1.2 AIMS AND OBJECTIVES 1.3 METHODS 1.3.1 FIELD METHODS AND SAMPLING APPROACH 1.3.2 STUDY AREA SELECTION 1.3.3 LABORATORY METHODS 1.4 THESIS ORGANISATION CHAPTER 2: LARGE HERBIVORES ON PERMAFROST – A PILOT STUDY OF GRAZING IMPACTS ON PERMAFROST SOIL CARBON STORAGE IN NORTHEASTERN SIBERIA 2.1 ABSTRACT 2.2 I NTRODUCTION 2.3 STUDY AREA 2.4 METHODS 2.4.1 FIELD SAMPLING APPROACH 2.4.2 LABORATORY WORK 2.4.3 DATA ANALYSIS AND EXTERNAL DATA 2.5 RESULTS 2.5.1 VEGETATION ASSESSMENT 2.5.2 SEASONAL THAW DEPTH 2.5.3 CARBON PARAMETERS (TOC, TOC/TN RATIOS , AND Δ13 C RATIOS ) 2.5.4 GRAIN SIZE DISTRIBUTION AND WATER CONTENT 2.5.5 STATISTICS AND CORRELATION ANALYSIS 2.6 DISCUSSION 2.6.1 EFFECTS OF GRAZING ON VEGETATION STRUCTURE AND PERMAFROST THAW 2.6.2 CARBON ACCUMULATION UNDER GRAZING IMPACT 2.6.3 METHODOLOGICAL LIMITATIONS OF THE PILOT STUDY 2.7 CONCLUSION 2.8 DATA AVAILABILITY STATEMENT 2.9 AUTHOR CONTRIBUTIONS 2.10 FUNDING 2.11 ACKNOWLEDGEMENTS 2.12 CONFLICT OF INTERESTS CHAPTER 3: IMPACTS OF REINDEER ON SOIL CARBON STORAGE IN THE SEASONALLY FROZEN GROUND OF NORTHERN FINLAND: A PILOT STUDY 3.1 ABSTRACT 3.2 I NTRODUCTION 3.3 STUDY AREA 3.4 METHODS 3.4.1 FIELD WORK 3.4.2 LABORATORY ANALYSIS 3.4.3 DATA ANALYSIS AND CALCULATIONS 3.5 RESULTS 3.5.1 CORE DESCRIPTIONS 3.5.2 VEGETATION 3.5.3 CARBON PARAMETERS 3.5.6 COMPARATIVE DATA ANALYSIS 3.6 DISCUSSION 3.6.1 REINDEER IMPACT ON SOIL CARBON STORAGE 3.6.2 REINDEER IMPACT ON VEGETATION 3.6.3 REINDEER IMPACT ON GROUND CHARACTERISTICS 3.6.4 SOC DENSITY AND STOCKS ACROSS THE KUTUHARJU STATION AREA 3.6.5 METHODOLOGICAL LIMITATIONS OF THE PILOT STUDY DESIGN 3.6.6 IMPLICATIONS OF THE PILOT STUDY FOR FUTURE RESEARCH 3.7 CONCLUSION 3.8 DATA AVAILABILITY 3.9 AUTHOR CONTRIBUTION 3.10 COMPETING INTERESTS 3.11 ACKNOWLEDGEMENTS 3.12 FUNDING TABLE 3-1 TABLE 3-2 TABLE 3-3 CHAPTER 4: LIPID BIOMARKER SCREENING TO TRACE RECENT LARGE HERBIVORE INFLUENCE ON SOIL CARBON IN PERMAFROST AND SEASONALLY FROZEN ARCTIC GROUND 4.1 ABSTRACT 4.2 I NTRODUCTION 4.3 STUDY AREA 4.4 METHODS 4.4.1 SAMPLING APPROACH 4.4.2 LABORATORY ANALYSIS 4.4.3 LIPID BIOMARKER INDICES 4.4.4 STATISTICS 4.5 RESULTS 4.5.1 TOC 4.5.2 C/N RATIO 4.5.3 STABLE CARBON ISOTOPE RATIO 4.5.4 ABSOLUTE N- ALKANE CONCENTRATION 4.5.5 AVERAGE CHAIN LENGTH 4.5.6 CARBON PREFERENCE INDEX 4.5.7 HIGHER - PLANT ALCOHOL INDEX 4.5.8 STATISTICAL RESULTS 4.6 DISCUSSION 4.6.1 EFFECTS OF GRAZING INTENSITY ON BIOMARKER SIGNALS 4.6.2 EFFECTS OF GROUND THERMAL REGIME ON SOIL OM DEGRADATION 4.6.3 I MPACT OF HERBIVORY ON PERMAFROST OM STORAGE 4.7 CONCLUSION 4.8 ACKNOWLEDGEMENTS 4.9 COMPETING INTERESTS 4.10 AUTHOR CONTRIBUTION 4.11 FUNDING 4.12 DATA AVAILABILITY CHAPTER 5: SYNTHESIS 5.1 ECOSYSTEM CHANGES UNDER THE IMPACT OF LARGE HERBIVORES 5.2 GRAZING EFFECTS ON SOIL ORGANIC MATTER DECOMPOSITION 5.3 F EASIBILITY OF UTILISING HERBIVORY IN THE ARCTIC 5.4 RESEARCH IMPLICATIONS FOR SUCCESSFUL PLANNING AND USE OF ARCTIC HERBIVORY REFERENCES 93 FINANCIAL AND TECHNICAL SUPPORT APPENDIX 1 APPENDIX I ORGANIC CARBON CHARACTERISTICS IN ICE - RICH PERMAFROST IN ALAS AND YEDOMA DEPOSITS , CENTRAL YAKUTIA, SIBERIA APPENDIX II WHAT ARE THE EFFECTS OF HERBIVORE DIVERSITY ON TUNDRA ECOSYSTEMS ? A SYSTEMATIC REVIEW (ABSTRACT) APPENDIX III SUPPLEMENTARY MATERIAL TO CHAPTER 2: LARGE HERBIVORES ON PERMAFROST – A PILOT STUDY OF GRAZING IMPACTS ON PERMAFROST SOIL CARBON STORAGE IN NORTHEASTERN SIBERIA APPENDIX IV SUPPLEMENTARY MATERIAL TO CHAPTER 3: IMPACTS OF REINDEER ON SOIL CARBON STORAGE IN THE SEASONALLY FROZEN GROUND OF NORTHERN FINLAND : A PILOT STUDY APPENDIX V SUPPLEMENTARY MATERIAL TO CHAPTER 4: A PILOT STUDY OF LIPID BIOMARKERS TO TRACE RECENT LARGE HERBIVORE INFLUENCE ON SOIL CARBON IN PERMAFROST AND SEASONALLY ROZEN ARCTIC GROUND APPENDIX VI SUPPLEMENTARY MATERIAL TO APPENDIX IV: ORGANIC CARBON CHARACTERISTICS IN ICE - RICH PERMAFROST IN ALAS AND YEDOMA DEPOSITS , CENTRAL YAKUTIA, SIBERIA ACKNOWLEDGEMENTS - DANKSAGUNG
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  • 3
    Signatur: AWI A4-23-95497
    Beschreibung / Inhaltsverzeichnis: Extreme weather and climate events are one of the greatest dangers for present-day society. Therefore, it is important to provide reliable statements on what changes in extreme events can be expected along with future global climate change. However, the projected overall response to future climate change is generally a result of a complex interplay between individual physical mechanisms originated within the different climate subsystems. Hence, a profound understanding of these individual contributions is required in order to provide meaningful assessments of future changes in extreme events. One aspect of climate change is the recently observed phenomenon of Arctic Amplification and the related dramatic Arctic sea ice decline, which is expected to continue over the next decades. The question to what extent Arctic sea ice loss is able to affect atmospheric dynamics and extreme events over mid-latitudes has received a lot of attention over recent years and still remains a highly debated topic. In this respect, the objective of ...
    Materialart: Dissertationen
    Seiten: xi, 126 Seiten , Diagramme
    Sprache: Englisch
    Anmerkung: Dissertation, Universität Potsdam, 2023 , CONTENTS 1 SCIENTIFIC BACKGROUND AND RESEARCH QUESTIONS 1.1 Extreme events and attribution 1.2 Arctic climate change and mid-latitude linkages 1.3 Research questions 2 FOUNDATIONS 2.1 Atmospheric basics 2.1.1 Governing equations 2.1.2 Zonal wind and temperature profiles 2.1.3 Atmospheric waves and instabilities 2.1.4 Large-scale variability patterns and blocking 2.2 Atmospheric circulation regimes 2.2.1 Dynamical concepts 2.2.2 Regime computation 2.2.3 Regime number 2.3 Arctic climate change 2.3.1 Recent trends in Arctic sea ice and temperatures 2.3.2 Surface fluxes and energy balance in Arctic regions 2.3.3 Polar amplification mechanisms 2.3.4 Arctic-mid-latitude linkages 2.4 Weather and climate extremes 2.4.1 Recent trends 2.4.2 Dynamical driver of temperature extremes 3 DATA AND METHODS 3.1 ERA5 reanalysis 3.2 Model experiments 3.2.1 The atmospheric general circulation model ECHAM6 3.2.2 Polar Amplification Intercomparison Project data 3.3 Methods 3.3.1 Statistical significance 3.3.2 Extreme definition 4 RESULTS AND DISCUSSION 4.1 Mean circulation in ERA5 and ECHAM6 experiments 4.1.1 Climatological mean states in ERA5 and the reference simulation 4.1.2 Climatological responses in ECHAM6 sensitivity experiments 4.2 Circulation regimes and sea ice-induced frequency changes 4.2.1 Regime structures in ERA5 and ECHAM6 experiments 4.2.2 Regime frequency changes in ERA 4.2.3 Regime frequency changes in ECHAM6 experiments 4.3 Changes in Northern Hemispheric temperature extremes induced by sea ice loss 4.3.1 Extreme occurrence frequency changes 4.3.2 Temperature return level changes 4.4 Links between circulation regimes and extremes over Europe 4.4.1 Winter temperature extremes 4.4.2 Summer heat extremes 4.4.3 Winter wind extremes 4.5 Decomposition of sea ice-induced frequency changes in European winter extremes 4.5.1 Midwinter cold extremes along a SCAN storyline 4.5.2 January warm extremes along a ATl- storyline 4.5.3 February warm extremes along a NAO+ storyline 4.5.4 Comparison with futSST 4.5.5 January wind extremes along a ATL- storyline 4.6 Circulation Analogue-based approach for summer season 4.6.1 ERA5 event definitions 4.6.2 Reference flows and analogues in ERA5 4.6.3 Circulation analogues in ECHAM6 experiments 4.6.4 Decomposition of sea ice-induced changes in European heat extremes 5 CONCLUSION 5.1 Summary 5.2 Final discussion and outlook Appendix A METHODS A.1 Principal Component Analysis A.2 𝑘-Means clustering A.2.1 Algorithm A.2.2 Computation of circulation regimes A.3 Taylor diagram A.4 Regression model for describing ERA5 regime frequency changes A.4.1 General setup A.4.2 Multinomial Logistic Regression A.4.3 Linear predictor A.5 Definition and calculation of return levels A.5.1 Block maxima approach and Generalized Extreme Value distribution A.5.2 Return level estimation A.6 Framework for conditional extreme event attribution Appendix B ADDITIONAL FIGURES B.1 Circulation regimes and sea ice-induced frequency changes B.2 Changes in Northern Hemispheric temperature extremes induced by sea ice loss B.3 Links between circulation regimes and extremes over Europe B.3.1 Conditioned vs. unconditioned ERA5 and wind extreme probabilities B.3.2 Wind and synoptic-scale activity anomalies B.4 Decomposition of sea ice-induced frequency changes in European winter extremes B.5 Circulation Analogue-based approach for summer season B.6 Miscellaneous B.6.1 Recent Arctic sea ice trends B.6.2 futSST forcing field B.6.3 Fluxes over sea ice and ocean surfaces in ECHAM6 BIBLIOGRAPHY
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  • 4
    Signatur: AWI A7-24-95703
    Beschreibung / Inhaltsverzeichnis: The icosahedral non-hydrostatic large eddy model (ICON-LEM) was applied around the drift track of the Multidisciplinary Observatory Study of the Arctic (MOSAiC) in 2019 and 2020. The model was set up with horizontal grid-scales between 100m and 800m on areas with radii of 17.5km and 140 km. At its lateral boundaries, the model was driven by analysis data from the German Weather Service (DWD), downscaled by ICON in limited area mode (ICON-LAM) with horizontal grid-scale of 3 km. The aim of this thesis was the investigation of the atmospheric boundary layer near the surface in the central Arctic during polar winter with a high-resolution mesoscale model. The default settings in ICON-LEM prevent the model from representing the exchange processes in the Arctic boundary layer in accordance to the MOSAiC observations. The implemented sea-ice scheme in ICON does not include a snow layer on sea-ice, which causes a too slow response of the sea-ice surface temperature to atmospheric changes. To allow the sea-ice surface to respond faster to changes in the atmosphere, the implemented sea-ice parameterization in ICON was extended with an adapted heat capacity term. The adapted sea-ice parameterization resulted in better agreement with the MOSAiC observations. However, the sea-ice surface temperature in the model is generally lower than observed due to biases in the downwelling long-wave radiation and the lack of complex surface structures, like leads. The large eddy resolving turbulence closure yielded a better representation of the lower boundary layer under strongly stable stratification than the non-eddy-resolving turbulence closure. Furthermore, the integration of leads into the sea-ice surface reduced the overestimation of the sensible heat flux for different weather conditions. The results of this work help to better understand boundary layer processes in the central Arctic during the polar night. High-resolving mesoscale simulations are able to represent temporally and spatially small interactions and help to further develop parameterizations also for the application in regional and global models.
    Materialart: Dissertationen
    Seiten: xii, 110 Seiten , Illustrationen, Diagramme
    Sprache: Englisch
    Anmerkung: Dissertation, Universität Potsdam, 2023 , Contents 1. Introduction 2. Boundary Layers Types of the Atmosphere 2.1. The Convective Boundary Layer (CBL) 2.2. The Neutral Boundary Layer (NBL) 2.3. The Stable Boundary Layer (SBL) 3. The Closure problem 4. Model description 4.1. Applied model versions 4.2. Governing equations 4.3. Horizontal grid 4.4. Vertical grid 4.5. Lateral boundaries 4.6. Parametrizations 4.6.1. Radiation scheme 4.6.2. Microphysics 4.6.3. Mellor-Yamada scheme 4.6.4. Smagorinsky scheme 4.6.5. Sea ice scheme 4.7. Difference to classical LES Models 5. Experimental Setup 6. MOSAiC Measurements 6.1. ARM Meteorological tower 6.2. Radiosondes 7. Model evaluation for the central Arctic 7.1. Impact of the horizontal resolution 7.1.1. Under cold, light wind conditions 7.1.2. Under stormy conditions 7.2. Impact of the sea-ice scheme 7.3. Impact of the lower boundary conditions 7.4. Impact of the parametrization schemes under cold, light wind conditions 7.4.1. Near-surface variables 7.4.2. Vertical profiles 7.4.3. Surface fluxes 7.4.4. Boundary Layer Height 7.5. Impact of the parametrization schemes under stormy conditions 7.5.1. Near-surface variables 7.5.2. Vertical profiles 7.5.3. Surface fluxes 7.5.4. Boundary Layer height 8. Discussion and Summary Acknowledgements Appendix
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  • 5
    Signatur: AWI A5-24-95744
    Beschreibung / Inhaltsverzeichnis: The Arctic is the hot spot of the ongoing, global climate change. Over the last decades, near-surface temperatures in the Arctic have been rising almost four times faster than on global average. This amplified warming of the Arctic and the associated rapid changes of its environment are largely influenced by interactions between individual components of the Arctic climate system. On daily to weekly time scales, storms can have major impacts on the Arctic sea-ice cover and are thus an important part of these interactions within the Arctic climate. The sea-ice impacts of storms are related to high wind speeds, which enhance the drift and deformation of sea ice, as well as to changes in the surface energy budget in association with air mass advection, which impact the seasonal sea-ice growth and melt. The occurrence of storms in the Arctic is typically associated with the passage of transient cyclones. Even though the above described mechanisms how storms/cyclones impact the Arctic sea ice are in principal known, there is a lack of statistical quantification of these effects. In accordance with that, the overarching objective of this thesis is to statistically quantify cyclone impacts on sea-ice concentration (SIC) in the Atlantic Arctic Ocean over the last four decades. In order to further advance the understanding of the related mechanisms, an additional objective is to separate dynamic and thermodynamic cyclone impacts on sea ice and assess their relative importance. Finally, this thesis aims to quantify recent changes in cyclone impacts on SIC. These research objectives are tackled utilizing various data sets, including atmospheric and oceanic reanalysis data as well as a coupled model simulation and a cyclone tracking algorithm. Results from this thesis demonstrate that cyclones are significantly impacting SIC in the Atlantic Arctic Ocean from autumn to spring, while there are mostly no significant impacts in summer. The strength and the sign (SIC decreasing or SIC increasing) of the cyclone impacts strongly depends on the considered daily time scale and the region of the Atlantic Arctic Ocean. Specifically, an initial decrease in SIC (day -3 to day 0 relative to the cyclone) is found in the Greenland, Barents and Kara Seas, while SIC increases following cyclones (day 0 to day 5 relative to the cyclone) are mostly limited to the Barents and Kara Seas. For the cold season, this results in a pronounced regional difference between overall (day -3 to day 5 relative to the cyclone) SIC-decreasing cyclone impacts in the Greenland Sea and overall SIC-increasing cyclone impacts in the Barents and Kara Seas. A cyclone case study based on a coupled model simulation indicates that both dynamic and thermodynamic mechanisms contribute to cyclone impacts on sea ice in winter. A typical pattern consisting of an initial dominance of dynamic sea-ice changes followed by enhanced thermodynamic ice growth after the cyclone passage was found. This enhanced ice growth after the cyclone passage most likely also explains the (statistical) overall SIC-increasing effects of cyclones in the Barents and Kara Seas in the cold season. Significant changes in cyclone impacts on SIC over the last four decades have emerged throughout the year. These recent changes are strongly varying from region to region and month to month. The strongest trends in cyclone impacts on SIC are found in autumn in the Barents and Kara Seas. Here, the magnitude of destructive cyclone impacts on SIC has approximately doubled over the last four decades. The SIC-increasing effects following the cyclone passage have particularly weakened in the Barents Sea in autumn. As a consequence, previously existing overall SIC-increasing cyclone impacts in this region in autumn have recently disappeared. Generally, results from this thesis show that changes in the state of the sea-ice cover (decrease in mean sea-ice concentration and thickness) and near-surface air temperature are most important for changed cyclone impacts on SIC, while changes in cyclone properties (i.e. intensity) do not play a significant role.
    Materialart: Dissertationen
    Seiten: VIII, 131 Seiten , Illustrationen, Diagramme
    Sprache: Englisch
    Anmerkung: Dissertation, Universität Potsdam, 2024 , Contents 1 Introduction 1.1 The Arctic sea-ice cover 1.1.1 Sea ice in the coupled Arctic climate system 1.1.2 Recent changes of the Arctic sea ice 1.2 The atmosphere as driver of sea-ice variability 1.2.1 Large-scale circulation patterns 1.2.2 Role of cyclones 1.3 Thesis structure and research questions 2 Theory and methods 2.1 Synoptic cyclones 2.1.1 Related fundamentals of atmospheric dynamics 2.1.2 Cyclone activity in the Arctic 2.2 Cyclone tracking and cyclone occurrence mask 2.3 Dynamic and thermodynamic sea-ice variability related to cyclones 3 New insights into cyclone impacts on sea ice in the Atlantic sector of the Arctic Ocean in winter 3.1 Abstract 3.2 Introduction 3.3 Data and methods 3.3.1 Database and cyclone identification 3.3.2 Quantification of cyclone impacts on SIC 3.4 Cyclone impacts on SIC 3.4.1 Effects of different time scales and regions 3.4.2 Effects of SIC conditions and cyclone depth 3.4.3 Spatial variability of SIC response to cyclones 3.4.4 Relation to near-surface wind and surface energy budget 3.5 Signature of ’New Arctic’ conditions 3.6 Conclusions 3.7 Supplementary material 4 Impact of three intense winter cyclones on the sea ice cover in the Barents Sea: A case study with a coupled regional climate model 4.1 Abstract 4.2 Introduction 4.3 Data and methods 4.3.1 HIRHAM–NAOSIM simulation 4.3.2 Supplementary evaluation data 4.3.3 Dynamic and thermodynamic contributions to sea-ice changes 4.4 Results 4.4.1 Cyclone cases 4.4.2 Cyclone impacts on SEB 4.4.3 Cyclone impacts on sea-ice concentration (SIC) 4.4.4 Cyclone impacts on sea-ice thickness (SIT) 4.4.5 Context to other cyclone cases during the MOSAiC winter 4.5 Discussion and conclusions 4.6 Supplementary material 5 Cyclone impacts on sea ice concentration in the Atlantic Arctic Ocean: Annual cycle and recent changes 5.1 Abstract 5.2 Introduction 5.3 Data and methods 5.4 Changes in cyclones and traversed sea ice 5.5 Cyclone impacts on SIC 5.5.1 Annual cycle in the old Arctic 5.5.2 Changes in the new Arctic 5.5.3 Regional changes in autumn 5.6 Conclusions 5.7 Supplementary material 6 Conclusions and Outlook 6.1 What is the statistical impact of cyclone passages on sea-ice concentration (SIC) in the Atlantic Arctic Ocean? 6.2 What are the individual contributions of dynamic and thermodynamic processes to sea-ice changes related to cyclones? 6.3 Do the SIC impacts of cyclones change in a warming Arctic and what are the related mechanisms? 6.4 Ways forward Appendix: Cyclones modulate the control of the North Atlantic Oscillation on transports into the Barents Sea Bibliography
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  • 6
    Signatur: AWI Bio-24-95742
    Beschreibung / Inhaltsverzeichnis: The arctic is warming 2 – 4 times faster than the global average, resulting in a strong feedback on northern ecosystems such as boreal forests, which cover a vast area of the high northern latitudes. With ongoing global warming, the treeline subsequently migrates northwards into tundra areas. The consequences of turning ecosystems are complex: on the one hand, boreal forests are storing large amounts of global terrestrial carbon and act as a carbon sink, dragging carbon dioxide out of the global carbon cycle, suggesting an enhanced carbon uptake with increased tree cover. On the other hand, with the establishment of trees, the albedo effect of tundra decreases, leading to enhanced soil warming. Meanwhile, permafrost thaws, releasing large amounts of previously stored carbon into the atmosphere. So far, mainly vegetation dynamics have been assessed when studying the impact of warming onto ecosystems. Most land plants are living in close symbiosis with bacterial and fungal communities, sustaining their growth in nutrient poor habitats. However, the impact of climate change on these subsoil communities alongside changing vegetation cover remains poorly understood. Therefore, a better understanding of soil community dynamics on multi millennial timescales is inevitable when addressing the development of entire ecosystems. Unravelling long-term cross-kingdom dependencies between plant, fungi, and bacteria is not only a milestone for the assessment of warming on boreal ecosystems. On top, it also is the basis for agriculture strategies to sustain society with sufficient food in a future warming world. The first objective of this thesis was to assess ancient DNA as a proxy for reconstructing the soil microbiome (Manuscripts I, II, III, IV). Research findings across these projects enable a comprehensive new insight into the relationships of soil microorganisms to the surrounding vegetation. First, this was achieved by establishing (Manuscript I) and applying (Manuscript II) a primer pair for the selective amplification of ancient fungal DNA from lake sediment samples with the metabarcoding approach. To assess fungal and plant co-variation, the selected primer combination (ITS67, 5.8S) amplifying the ITS1 region was applied on samples from five boreal and arctic lakes. The obtained data showed that the establishment of fungal communities is impacted by warming as the functional ecological groups are shifting. Yeast and saprotroph dominance during the Late Glacial declined with warming, while the abundance of mycorrhizae and parasites increased with warming. The overall species richness was also alternating. The results were compared to shotgun sequencing data reconstructing fungi and bacteria (Manuscripts III, IV), yielding overall comparable results to the metabarcoding approach. Nonetheless, the comparison also pointed out a bias in the metabarcoding, potentially due to varying ITS lengths or copy numbers per genome. The second objective was to trace fungus-plant interaction changes over time (Manuscripts II, III). To address this, metabarcoding targeting the ITS1 region for fungi and the chloroplast P6 loop for plants for the selective DNA amplification was applied (Manuscript II). Further, shotgun sequencing data was compared to the metabarcoding results (Manuscript III). Overall, the results between the metabarcoding and the shotgun approaches were comparable, though a bias in the metabarcoding was assumed. We demonstrated that fungal shifts were coinciding with changes in the vegetation. Yeast and lichen were mainly dominant during the Late Glacial with tundra vegetation, while warming in the Holocene lead to the expansion of boreal forests with increasing mycorrhizae and parasite abundance. Aside, we highlighted that Pinaceae establishment is dependent on mycorrhizal fungi such as Suillineae, Inocybaceae, or Hyaloscypha species also on long-term scales. The third objective of the thesis was to assess soil community development on a temporal gradient (Manuscripts III, IV). Shotgun sequencing was applied on sediment samples from the northern Siberian lake Lama and the soil microbial community dynamics compared to ecosystem turnover. Alongside, podzolization processes from basaltic bedrock were recovered (Manuscript III). Additionally, the recovered soil microbiome was compared to shotgun data from granite and sandstone catchments (Manuscript IV, Appendix). We assessed if the establishment of the soil microbiome is dependent on the plant taxon and as such comparable between multiple geographic locations or if the community establishment is driven by abiotic soil properties and as such the bedrock area. We showed that the development of soil communities is to a great extent driven by the vegetation changes and temperature variation, while time only plays a minor role. The analyses showed general ecological similarities especially between the granite and basalt locations, while the microbiome on species-level was rather site-specific. A greater number of correlated soil taxa was detected for deep-rooting boreal taxa in comparison to grasses with shallower roots. Additionally, differences between herbaceous taxa of the late Glacial compared to taxa of the Holocene were revealed. With this thesis, I demonstrate the necessity to investigate subsoil community dynamics on millennial time scales as it enables further understanding of long-term ecosystem as well as soil development processes and such plant establishment. Further, I trace long-term processes leading to podzolization which supports the development of applied carbon capture strategies under future global warming.
    Materialart: Dissertationen
    Seiten: xii, 198 Seiten , Illustrationen, Diagramme
    Sprache: Englisch
    Anmerkung: Dissertation, Universität Potsdam, 2024 , Table of Contents Summary Deutsche Zusammenfassung 1 Introduction 1.1 Arctic ecosystems under global warming 1.2 The plant-associated microbiome 1.3 Drivers of soil development 1.4 Ancient DNA to unravel past ecosystems 1.4.1 Lake sediments as archives of past community changes 1.4.2 Metabarcoding for targeting specific communities 1.4.3 Shotgun sequencing for broader overview 1.5 Thesis objective 1.6 Thesis outline and author contributions 2 Manuscript I 2.1 Abstract 2.2 Introduction 2.3 Materials and Methods 2.3.1 Primer design and evaluation In silico analyses Evaluation of lake sediment core DNA for analyses of fungal paleoecology 2.4 Results Primer design and evaluation Evaluation of lake sediment core DNA for fungal paleoecology 2.4.1 Taxonomic resolution across the cores 2.4.2 Comprehensiveness: Rarefaction and accumulation curves 2.4.3 Amplicon length and GC content to assess bias through degradation 2.4.4 General taxonomic composition of fungi in Siberian lake sediment cores Diversity of fungal paleocommunities from lake CH12 2.5 Discussion 2.5.1 Preservation biases and potential contamination 2.5.2 Characteristics of the optimized sedaDNA ITS1 metabarcoding assay 2.5.3 Potential of lake sediment fungal DNA for paleoecology 2.6 Author contributions 2.7 Acknowledgements 2.8 Conflict of interest 2.9 References 3 Manuscript II 3.1 Abstract 3.2 Introduction 3.3 Geographic setting and study sites 3.4 Materials and Methods 3.4.1 Sampling 3.4.2 DNA extraction and amplification 3.4.3 Bioinformatic analysis 3.4.4 Assessment of negative controls and contamination 3.4.5 Statistical analysis and visualization 3.5 Results 3.5.1 Fungi: sedaDNA sequencing results and overall patterns of alpha diversity and taxonomic composition 3.5.2 Vegetation: sedaDNA sequencing results and overall patterns of alpha diversity and taxonomic composition 3.5.3 Site-specific plant-fungus covariation 3.5.3.1 Fungus and plant covariation in arctic Siberia from MIS3 to the Holocene 3.5.3.2 Quantitative relationships between fungi and plant richness and composition 3.6 Discussion 3.6.1 Fungus and plant diversity along a spatiotemporal gradient in Siberia 3.6.2 Changes in ecosystem functioning over a spatiotemporal gradient 3.6.3 Implications of our results for ecosystem functioning and future research avenues 3.7 Conclusions Funding Availability of data and material Author contribution Declaration of competing interest Acknowledgements 3.8 References 4 Manuscript III 4.1 Abstract 4.2 Introduction 4.3 Results and Discussion 4.3.1 Compositional changes of plants, fungi, and bacteria in ancient metagenomic datasets 4.3.2 Long-term soil development: a trajectory or environmentally driven processes? 4.3.3 Bioweathering supported by lichens and mycorrhiza 4.3.4 Turnover in carbon, nitrogen, and sulphur cycling 4.3.5 Tracing podzolization 4.4 Implications and conclusions 4.5 Material and methods 4.5.1 Geographical setting and study site 4.5.2 X-ray fluorescence scanning of the sediment core 4.5.3 Core sub-sampling 4.5.4 DNA extraction 4.5.5 Single stranded DNA library build 4.5.6 Bioinformatic pipeline for the analysis of the sequencing results 4.5.7 Data analysis 4.5.8 Analysis of the ancient patterns 4.5.9 Statistical analysis of the dataset Acknowledgements 4.6 References Declarations 5 Discussion and synthesis 5.1 Long-term rhizosphere establishment in tundra and taiga areas 5.1.1 SedaDNA as a proxy for soil microbiome 5.1.1.1 Fungal DNA metabarcoding 5.1.1.2 Targeting soil communities with shotgun sequencing 5.1.1.3 Comparison between metabarcoding and shotgun sequencing for the soil microbiome 5.1.2 Fungi-vegetation interaction changes over time 5.1.3 Soil development on a temporal gradient 5.2 Conclusion and future perspectives 6 References 7 Appendix 7.1 Appendix to manuscript I 7.2 Appendix to manuscript II 7.3 Appendix to manuscript III 7.4 Manuscript IV 7.4.1 Abstract 7.4.2 Introduction 7.4.3 Geographical setting and study sites 7.4.4 Material & Methods 7.4.4.1 Sub-sampling of the sediment cores 7.4.4.2 DNA extraction 7.4.4.3 Single stranded DNA library built 7.4.4.4 Bioinformatic pipeline for the analysis of the sequencing data 7.4.4.5 Data analysis 7.4.4.6 Statistical analysis of the datasets 7.4.5 Results 7.4.5.1 Compositional changes of representative plant taxa alongside dynamics in fungal ecologies and bacterial element cycling in ancient metagenomic datasets 7.4.5.2 Impact of abiotic and biotic drivers on soil establishment across geographical locations 7.4.5.3 Relative positive correlations of functional soil taxa with plants across the locations 7.4.5.4 Assessment of the plant taxon-specific microbiome across the locations 7.4.6 Discussion 7.4.6.1 Site-specific soil development 7.4.6.2 Differences in the bedrock 7.4.6.3 Correlation between the lake biota 7.4.6.3.1 General Trends in positively correlated rhizosphere taxa 7.4.6.3.2 Plant taxa specific microbiome 7.4.7 Implications and future directions 7.4.8 References 7.4.9 Supplement to manuscript IV Acknowledgements Eidesstattliche Erklärung Damage pattern analysis – Auflagen Doktorarbeit Summary Main References
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  • 7
    Signatur: AWI A6-21-94541
    Beschreibung / Inhaltsverzeichnis: Stratospheric variability is one of the main potential sources for sub-seasonal to seasonal predictability in mid-latitudes in winter. Stratospheric pathways play an important role for long-range teleconnections between tropical phenomena, such as the quasi-biennial oscillation (QBO) and El Niño-Southern Oscillation (ENSO), and the mid-latitudes on the one hand, and linkages between Arctic climate change and the mid-latitudes on the other hand. In order to move forward in the field of extratropical seasonal predictions, it is essential that an atmospheric model is able to realistically simulate the stratospheric circulation and variability. The numerical weather prediction (NWP) configuration of the ICOsahedral Non-hydrostatic atmosphere model ICON is currently being used by the German Meteorological Service for the regular weather forecast, and is intended to produce seasonal predictions in future. This thesis represents the first extensive evaluation of Northern Hemisphere stratospheric winter circulation in ICON-NWP by analysing a ...
    Materialart: Dissertationen
    Seiten: viii, 119 Seiten , Illustrationen, Diagramme, Karten
    Sprache: Englisch
    Anmerkung: Dissertation, Universität Potsdam, 2020 , Contents1 Introduction 1.1 Motivation: Seasonal prediction 1.2 The new atmosphere model ICON 1.3 Research questions 2 Theoretical background 2.1 Fundamentals of atmospheric circulation 2.1.1 Primitive equations 2.1.2 The global energy budget 2.1.3 Baroclinic instability 2.1.4 Vertical structure of the atmosphere 2.2 Stratospheric dynamics 2.2.1 Circulation patterns 2.2.2 Atmospheric waves 2.2.3 Sudden stratospheric warmings 2.2.4 Quasi-biennial oscillation 2.3 Atmospheric Teleconnections 2.3.1 NAM, NAO and PNA 2.3.2 El Niño-Southern Oscillation 2.3.3 Arctic-midlatitude linkages 3 Atmospheric model and methods of analysis 3.1 Atmospheric model ICON-NWP 3.1.1 Model description 3.1.2 Experimental setup 3.2 Reanalysis data ERA-Interim 3.3 Methods of analysis 3.3.1 NAM index for stratosphere–troposphere coupling 3.3.2 Stratospheric warmings 3.3.3 ENSO index and composites 3.3.4 Bias and error estimation 3.3.5 Statistical significance 4 Results 4.1 Evaluation of seasonal experiments with ICON-NWP 4.1.1 Tropospheric circulation 4.1.2 Stratospheric circulation 4.2 Effect of gravity wave drag parameterisations 4.2.1 Stratospheric effects 4.2.2 Effects on stratosphere-troposphere coupling 4.2.3 Tropospheric effects 4.3 Low latitudinal influence on the stratospheric polar vortex 4.3.1 Quasi-biennial oscillation 4.3.2 El Niño-Southern Oscillation 4.4 Arctic-midlatitude linkages 4.4.1 Tropospheric processes 4.4.2 Stratospheric pathway 4.4.3 Sea ice sensitivity experiment 5 Discussion and outlook Bibliography Appendix
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  • 8
    Signatur: AWI G3-20-93985
    Beschreibung / Inhaltsverzeichnis: Der zentralasiatische Naturraum, wie er sich uns heute präsentiert, ist das Ergebnis eines Zusammenwirkens vieler verschiedener Faktoren über Jahrmillionen hinweg. Im aktuellen Kontext des Klimawandels zeigt sich jedoch, wie stark sich Stoffflüsse auch kurzfristig ändern und dabei das Gesicht der Landschaft verwandeln können. Die Gobi-Wüste in der Inneren Mongolei (China), als Teil der gleichnamigen Trockenregionen Nordwestchinas, ist aufgrund der Ausgestaltung ihrer landschaftsprägenden Elemente sowie ihrer Landschaftsdynamik, im Zusammenhang mit der Lage zum Tibet-Plateau, in den Fokus der klimageschichtlichen Grundlagenforschung gerückt. Als großes Langzeitarchiv unterschiedlichster fluvialer, lakustriner und äolischer Sedimente stellt sie eine bedeutende Lokalität zur Rekonstruktion von lokalen und regionalen Stoffflüssen dar.. Andererseits ist die Gobi-Wüste zugleich auch eine bedeutende Quelle für den überregionalen Staubtransport, da sie aufgrund der klimatischen Bedingungen insbesondere der Erosion durch Ausblasung preisgegeben wird. Vor diesem Hintergrund erfolgten zwischen 2011 und 2014, im Rahmen des BMBF-Verbundprogramms WTZ Zentralasien – Monsundynamik & Geoökosysteme (Förderkennzeichen 03G0814), mehrere deutsch-chinesische Expeditionen in das Ejina-Becken (Innere Mongolei) und das Qilian Shan-Vorland. Im Zuge dieser Expeditionen wurden für eine Bestimmung potenzieller Sedimentquellen erstmals zahlreiche Oberflächenproben aus dem gesamten Einzugsgebiet des Heihe (schwarzer Fluss) gesammelt. Zudem wurden mit zwei Bohrungen im inneren des Ejina-Beckens, ergänzende Sedimentbohrkerne zum bestehenden Bohrkern D100 (siehe Wünnemann (2005)) abgeteuft, um weit reichende, ergänzende Informationen zur Landschaftsgeschichte und zum überregionalen Sedimenttransfer zu erhalten. Gegenstand und Ziel der vorliegenden Doktorarbeit ist die sedimentologisch-mineralogische Charakterisierung des Untersuchungsgebietes in Bezug auf potenzielle Sedimentquellen und Stoffflüsse des Ejina-Beckens sowie die Rekonstruktion der Ablagerungsgeschichte eines dort erbohrten, 19m langen Sedimentbohrkerns (GN100). Schwerpunkt ist hierbei die Klärung der Sedimentherkunft innerhalb des Bohrkerns sowie die Ausweisung von Herkunftssignalen und möglichen Sedimentquellen bzw. Sedimenttransportpfaden. Die methodische Herangehensweise basiert auf einem Multi-Proxy-Ansatz zur Charakterisierung der klastischen Sedimentfazies anhand von Geländebeobachtungen, lithologisch-granulometrischen und mineralogisch-geochemischen Analysen sowie statistischen Verfahren. Für die mineralogischen Untersuchungen der Sedimente wurde eine neue, rasterelektronenmikroskopische Methode zur automatisierten Partikelanalyse genutzt und den traditionellen Methoden gegenübergestellt. Die synoptische Betrachtung der granulometrischen, geochemischen und mineralogischen Befunde der Oberflächensedimente ergibt für das Untersuchungsgebiet ein logisches Kaskadenmodell mit immer wiederkehrenden Prozessbereichen und ähnlichen Prozesssignalen. Die umfangreichen granulometrischen Analysen deuten dabei auf abnehmende Korngrößen mit zunehmender Entfernung vom Qilian Shan hin und ermöglichen die Identifizierung von vier texturellen Signalen: den fluvialen Sanden, den Dünensanden, den Stillwassersedimenten und Stäuben. Diese Ergebnisse können als Interpretationsgrundlage für die Korngrößenanalysen des Bohrkerns genutzt werden. Somit ist es möglich, die Ablagerungsgeschichte der Bohrkernsedimente zu rekonstruieren und in Verbindung mit eigenen und literaturbasierten Datierungen in einen Gesamtkontext einzuhängen. Für das Untersuchungsgebiet werden somit vier Ablagerungsphasen ausgewiesen, die bis in die Zeit des letzten glazialen Maximums (LGM) zurückreichen. Während dieser Ablagerungsphasen kam es im Zuge unterschiedlicher Aktivitäts- und Stabilitätsphasen zu einer kontinuierlichen Progradation und Überprägung des Schwemmfächers. Eine besonders aktive Phase kann zwischen 8 ka und 4 ka BP festgestellt werden, während der es aufgrund zunehmender fluvialer Aktivitäten zu einer deutlich verstärkten Schwemmfächerdynamik gekommen zu sein scheint. In den Abschnitten davor und danach waren es vor allem äolische Prozesse, die zu einer Überprägung des Schwemmfächers geführt haben. Hinsichtlich der mineralogischen Herkunftssignale gibt es eine große Variabilität. Dies spiegelt die enorme Heterogenität der Geologie des Untersuchungsgebietes wider, wodurch die räumlichen Signale nicht sehr stark ausgeprägt sind. Dennoch, können für das Einzugsgebiet drei größere Bereiche deklariert werden, die als Herkunftsgebiet in Frage kommen. Das östliche Qilian Shan Vorland zeichnet sich dabei durch deutlich höhere Chloritgehalte als primäre Quelle für die Sedimente im Ejina-Becken aus. Sie unterscheiden sich insbesondere durch stark divergierende Chloritgehalte in der Tonmineral- und Gesamtmineralfraktion, was das östliche Qilian Shan Vorland als primäre Quelle für die Sedimente im Ejina-Becken auszeichnet. Dies steht in Zusammenhang mit den Grünschiefern, Ophioliten und Serpentiniten in diesem Bereich. Geochemisch deutet vor allem das Cr/Rb-Verhältnis eine große Variabilität innerhalb des Einzugsgebietes an. Auch hier ist es das östliche Vorland, welches aufgrund seines hohen Anteils an mafischen Gesteinen reich an Chromiten und Spinellen ist und sich somit vom restlichen Untersuchungsgebiet abhebt. Die zeitliche aber auch die generelle Variabilität der Sedimentherkunft lässt sich in den Bohrkernsedimenten nicht so deutlich nachzeichnen. Die mineralogisch-sedimentologischen Eigenschaften der erbohrten klastischen Sedimente zeugen zwar von zwischenzeitlichen Änderungen bei der Sedimentherkunft, diese sind jedoch nicht so deutlich ausgeprägt, wie es die Quellsignale in den Oberflächensedimenten vermuten lassen. Ein Grund dafür scheint die starke Vermischung unterschiedlichster Sedimente während des Transportes zu sein. Die Kombination der Korngrößenergebnisse mit den Befunden der Gesamt- und Schwermineralogie deuten darauf hin, dass es zwischenzeitlich eine Phase mit überwiegend äolischen Prozessen gegeben hat, die mit einem Sedimenteintrag aus dem westlichen Bei Shan in Verbindung stehen. Neben der Zunahme ultrastabiler Schwerminerale wie Zirkon und Granat und der Abnahme opaker Schwerminerale, weisen vor allem die heutigen Verhältnisse darauf hin. Der Vergleich der traditionellen Schwermineralanalyse mit der Computer-Controlled-Scanning-Electron-Microscopy (kurz: CCSEM), die eine automatisierte Partikelauswertung der Proben ermöglicht, zeigt den deutlichen Vorteil der modernen Analysemethode. Neben einem zeitlichen Vorteil, den man durch die automatisierte Abarbeitung der vorbereiteten Proben erlangen kann, steht vor allem die deutlich größere statistische Signifikanz des Ergebnisses im Vordergrund. Zudem können mit dieser Methode auch chemische Varietäten einiger Schwerminerale bestimmt werden, die eine noch feinere Klassifizierung und sicherere Aussagen zu einer möglichen Sedimentherkunft ermöglichen. Damit ergeben sich außerdem verbesserte Aussagen zu Zusammensetzungen und Entstehungsprozessen der abgelagerten Sedimente. Die Studie verdeutlicht, dass die Sedimentherkunft innerhalb des Untersuchungsgebietes sowie die ablaufenden Prozesse zum Teil stark von lokalen Gegebenheiten abhängen. Die Heterogenität der Geologie und die Größe des Einzugsgebietes sowie die daraus resultierende Komplexität der Sedimentgenese, machen exakte Zuordnungen zu klar definierten Sedimentquellen sehr schwer. Dennoch zeigen die Ergebnisse, dass die Sedimentzufuhr in das Ejina-Becken in erster Linie durch fluviale klastische Sedimente des Heihe aus dem Qilian Shan erfolgt sein muss. Die Untersuchungsergebnisse zeigen jedoch ebenso die Notwendigkeit einer ergänzenden Bearbeitung angrenzender Untersuchungsgebiete, wie beispielsweise den Gobi-Altai im Norden oder den Beishan im Westen, sowie die Verdichtung der Oberflächenbeprobung zur feineren Auflösung von lokalen Sedimentquellen.
    Materialart: Dissertationen
    Seiten: xi, 186 Seiten , Illustrationen, Diagramme, Karten
    Sprache: Deutsch
    Anmerkung: Dissertation, Universität Potsdam, 2020 , INHALTSVERZEICHNIS Zusammenfassung Inhaltsverzeichnis Abbildungsverzeichnis Tabellenverzeichnis Abkürzungsverzeichnis 1 Einleitung 1.1 Einleitung 1.2 Wissenschaftliches Ziel 2 Stand der Forschung 3 Einführung in das Untersuchungsgebiet 3.1 Lage und Physiogeographie 3.2 Geologie 3.3 Geomorphologie 3.3.1 Ejina-Becken 3.3.2 Hexi-Korridor & Qilian Shan 3.4 Klima 4 Methoden 4.1 Probennahme - Strategie und Bohrung 4.2 Probenpräparation 4.3 Tonmineralanalyse 4.4 Schwermineralanalyse 4.4.1 Probenpräparation 4.4.2 Polarisationsmikroskopie 4.4.3 Röntgendiffraktometrie (XRD) 4.4.4 Computer Controlled Scanning Electron Microscopy (CCSEM) 4.5 Gesamtmineralogie (XRD) 4.6 Gesamtgeochemie (XRF) 4.6.1 Röntgenfluoreszenz (Einzelproben Analyse) 4.6.2 Röntgenfluoreszenz (Kernscan) 4.7 Korngrößenanalyse 4.8 Geochronologie 4.9 Räumliche Datenanalyse 5 Ergebnisse 5.1 Oberflächensedimente 5.1.1 Probensätze 5.1.2 Korngrößenanalyse 5.1.3 Gesamtmineralogie (XRD) 5.1.4 Gesamtgeochemie (XRF) 5.1.5 Tonmineralogie 5.1.6 Schwermineralogie 5.2 Bohrkern GN100 5.2.1 Lithostratigraphie 5.2.2 Korngrößenanalyse 5.2.3 Gesamtmineralogie (XRD) 5.2.4 Gesamtgeochemie (XRF) 5.2.5 Tonmineralogie 5.2.6 Schwermineralogie 5.2.7 Datierungen 6 Diskussion 6.1 Korngrößenvariationen und texturelle Signale der Oberflächensedimente 6.2 Mineralogische und geochemische Herkunftssignale der Oberflächensedimente 6.2.1 Gesamtmineralogie (XRD) 6.2.2 Gesamtgeochemie (XRF) 6.2.3 Tonmineralogie 6.2.4 Schwermineralogie 6.3 Heutige Sedimenttransportpfade - Synoptische Betrachtung der aktuellen Oberflächensignale 6.4 Korngrößenvariationen und texturelle Signale der Bohrkernsedimente (GN100) 6.5 Mineralogische und geochemische Herkunftssignale der Bohrkernsedimente (GN100) 6.6 Zeitliche Dimension des Sedimenteintrags - Ablagerungsgeschichte des Bohrkerns GN100 6.6.1 Darstellung der Sedimentherkunft und Ablagerungsgeschichte im Untersuchungsgebiet Schlussfolgerungen Literaturverzeichnis Anhang
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  • 9
    Signatur: AWI Bio-21-94540
    Beschreibung / Inhaltsverzeichnis: This thesis investigates how the permafrost microbiota responds to global warming. In detail, the constraints behind methane production in thawing permafrost were linked to methanogenic activity, abundance and composition. Furthermore, this thesis offers new insights into microbial adaptions to the changing environmental conditions during global warming. This was assesed by investigating the potential ecological relevant functions encoded by plasmid DNA within the permafrost microbiota. Permafrost of both interglacial and glacial origin spanning the Holocene to the late Pleistocene, including Eemian, were studied during long-term thaw incubations. Furthermore, several permafrost cores of different stratigraphy, soil type and vegetation cover were used to target the main constraints behind methane production during short-term thaw simulations. Short- and long-term incubations simulating thaw with and without the addition of substrate were combined with activity measurements, amplicon and metagenomic sequencing of permanently frozen and seasonally thawed active layer. Combined, it allowed to address the following questions. i) What constraints methane production when permafrost thaws and how is this linked to methanogenic activity, abundance and composition? ii) How does the methanogenic community composition change during long-term thawing conditions? iii) Which potential ecological relevant functions are encoded by plasmid DNA in active layer soils? The major outcomes of this thesis are as follows. i) Methane production from permafrost after long-term thaw simulation was found to be constrained mainly by the abundance of methanogens and the archaeal community composition. Deposits formed during periods of warmer temperatures and increased precipitation, (here represented by deposits from the Late Pleistocene of both interstadial and interglacial periods) were found to respond strongest to thawing conditions and to contain an archaeal community dominated by methanogenic archaea (40% and 100% of all detected archaea). Methanogenic population size and carbon density were identified as main predictors for potential methane production in thawing permafrost in short-term incubations when substrate was sufficiently available. ii) Besides determining the methanogenic activity after long-term thaw, the paleoenvironmental conditions were also found to influence the response of the methanogenic community composition. Substantial shifts within methanogenic community structure and a drop in diversity were observed in deposits formed during warmer periods, but not in deposits from stadials, when colder and drier conditions occurred. Overall, a shift towards a dominance of hydrogenotrophic methanogens was observed in all samples, except for the oldest interglacial deposits from the Eemian, which displayed a potential dominance of acetoclastic methanogens. The Eemian, which is discussed to serve as an analogue to current climate conditions, contained highly active methanogenic communities. However, all potential limitation of methane production after permafrost thaw, it means methanogenic community structure, methanogenic population size, and substrate pool might be overcome after permafrost had thawed on the long-term. iii) Enrichments with soil from the seasonally thawed active layer revealed that its plasmid DNA (‘metaplasmidome’) carries stress-response genes. In particular it encoded antibiotic resistance genes, heavy metal resistance genes, cold shock proteins and genes encoding UV-protection. Those are functions that are directly involved in the adaptation of microbial communities to stresses in polar environments. It was further found that metaplasmidomes from the Siberian active layer originate mainly from Gammaproteobacteria. By applying enrichment cultures followed by plasmid DNA extraction it was possible to obtain a higher average contigs length and significantly higher recovery of plasmid sequences than from extracting plasmid sequences from metagenomes. The approach of analyzing ‘metaplasmidomes’ established in this thesis is therefore suitable for studying the ecological role of plasmids in polar environments in general. This thesis emphasizes that including microbial community dynamics have the potential to improve permafrost-carbon projections. Microbially mediated methane release from permafrost environments may significantly impact future climate change. This thesis identified drivers of methanogenic composition, abundance and activity in thawing permafrost landscapes. Finally, this thesis underlines the importance to study how the current warming Arctic affects microbial communities in order to gain more insight into microbial response and adaptation strategies.
    Materialart: Dissertationen
    Seiten: VI, 243 Seiten , Diagramme, Illustrationen
    Sprache: Englisch
    Anmerkung: Dissertation, Universität Potsdam, 2020 , Contents Preface Acknowledgements Contents Summary Zusammenfassung List of abbreviations Chapter 1. Introduction 1.1 Motivation 1.2 Carbon storage in Arctic permafrost environments and the permafrost carbon feedback (PCF) 1.3 Methane cycling microorganisms 1.4 The microbial ecology of permafrost 1.5 Plasmids and their potential role in stress tolerance 1.6 Objectives Chapter 2. Study sites 2.1 Regional settings 2.2 Kurungnakh and Samoylov Island 2.3 Bol'shoy Lyakhovsky Island 2.4 Herschel Island Chapter 3. Manuscripts 3.1 Overview of manuscripts, including contribution of co-authors. 3.2 Manuscript I Methanogenic response to long-term permafrost thaw is determined by paleoenvironment 3.3 Manuscript II Methane production in thawing permafrost is constrained by methanogenic population size and carbon density 3.4 Manuscript III Metaplasmidome-encoded functional potential of permafrost active layer soils Chapter 4. Synthesis 4.1 Introduction 4.2 Constraints behind methane production from thawing permafrost 4.3 The methanogenic community response to long-term permafrost thaw 4.4 The adaptive potential of the permafrost micro biota to cope with stress factors during global warming 4.5 Conclusion Chapter 5. Future research directions and perspectives Chapter 6. References Chapter 7. Appendix 7.1 Supporting information for manuscript I 7.2 Supporting information for manuscript II 7.3 Supporting information for manuscript III 7.4 ESR collaboration, manuscript IV
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    Dissertationen
    Dissertationen
    Potsdam : Universität Potsdam
    Signatur: AWI G3-22-94736
    Materialart: Dissertationen
    Seiten: IX, 190 Seiten , Illustrationen
    Sprache: Englisch
    Anmerkung: Dissertation, Universität Potsdam, 2008 , Table of contents Kurzfassung Abstract Chapter 1: Introduction 1.1 Scientific background 1.1.1 Arctic environmental dynamics 1.1.2 Freshwater ostracods and their use in palaeoenvironmental studies 1.1.3 Permafrost and periglacial environment 1.2 Aims and approaches 1.3 Study region 1.3.1 Study sites 1.3.2 Geological characteristics 1.3.3 Climate 1.3.4 Periglacial freshwaters 1.4 Synopsis Chapter 2: Arctic freshwater ostracods from modern periglacial environments in the Lena River Delta (Siberian Arctic, Russia): geochemical applications for palaeoenvironmental reconstructions 2.1 Abstract 2.2 Introduction 2.3 Study area and types of water bodies 2.4 Materials and methods 2.5 Results 2.5.1 Physico-chemical characteristics of the ostracod habitats 2.5.2 Ostracod taxonomy and environmental ranges of their habitats 2.5.3 Ostracod geochemistry 2.6 Discussion 2.6.1 Taxonomy and ecology of ostracods 2.6.2 Element ratios in ostracods and ambient waters 2.6.3 Stable isotopes in ostracods and ambient waters 2.7 Conclusions Chapter 3: Evaporation effects as reflected in freshwaters and ostracod calcite from modern environments in Central and Northeast Yakutia (East Siberia, Russia) 3.1 Abstract 3.2 Introduction 3.3 Study area 3.4 Material and methods 3.4.1 Field work 3.4.2 Water analyses 3.4.3 Ostracod analyses 3.5 Results 3.5.1 Physico-chemical characteristics of the lakes and ponds 3.5.2 Ostracod taxonomy and environmental ranges 3.5.3 Stable isotopes in host waters and ostracod calcite 3.5.4 Element ratios in host waters and ostracod calcite 3.6 Discussion 3.6.1 Physico-chemical characteristics of the lakes and ponds 3.6.2 Ostracod taxonomy, biogeography, and environmental ranges 3.6.3 Stable isotopes in ostracod calcite 3.6.4 Element ratios in ostracod calcite 3.7 Conclusions Chapter 4: Eemian and Late Glacial/Holocene palaeoenvironmental records from permafrost sequences at the Dimitri Laptev Strait (NE Siberia, Russia) 4.1 Abstract 4.2 Introduction 4.3 Regional setting 4.4 Material and methods 4.4.1 Field methods and cryolithology 4.4.2 Geochronology 4.4.3 Sedimentology and stable isotopes 4.4.4 Palaeoecological proxies 4.5 Results 4.5.1 Geochronology, lithostratigraphy, sedimentology, and cryolithology 4.5.1.1 Eemian sequences 4.4.1.2 Late Glacial/Holocene sequences 4.5.2 Stable isotope ground ice records 4.5.3 Pollen studies 4.5.3.1 Eemian sequences 4.5.3.2 Late Glacial/Holocene sequences 4.5.4 Ostracod studies 4.5.4.1 Eemian sequences 4.5.4.2 Late Glacial/Holocene sequences 4.6 Discussion and Interpretation 4.6.1 Local palaeoenvironmental changes during the Eemian 4.6.2 Local palaeoenvironmental changes during the Late Glacial/Holocene 4.6.3 Palaeoenvironmental interpretation of ostracod calcite δ18O data 4.7 Conclusions Chapter 5: Synthesis 5.1 Taxonomy and ecology of ostracods 5.2 Geochemistry of ostracods 5.3 Indicator potential of freshwater ostracods in late Quaternary permafrost deposits 5.4 Outlook Appendix I: Freshwater ostracodes in Quaternary permafrost deposits in the Siberian Arctic I.1 Abstract I.2 Introduction I.3 Study area and geological background I.4 Materials and methods I.5 Results and interpretations I.5.1 Ostracode zone I I.5.2 Ostracode zone II I.5.3 Ostracode zone III I.5.4 Ostracode zone IV I.5.5 Ostracode zone V I.5.6 Ostracode zone VI I.6 Conclusions 125 Appendix II: Palaeoenvironmental dynamics inferred from late Quaternary permafrost deposits on Kurungnakh Island, Lena Delta, Northeast Siberia, Russia II.1 Abstract II.2 Introduction II.3 Regional setting II.4 Material and methods II.4.1 Sedimentology and cryolithology II.4.2 Geochronology II.4.3 Stable isotopes II.3.4 Palaeoecological proxies II.5 Results II.5.1 Lithostratigraphy, sedimentology, and cryolithology II.5.1.1 Unit I II.5.1.2 Unit II II.5.1.3 Unit III II.5.1.4 Unit IV II.5.1.5 Unit V II.5.2 Geochronology II.5.3 Oxygen and hydrogen stable isotopes of ground ice II.5.4 Palynological studies II.5.5 Plant macrofossils II.5.6 Ostracod remains II.5.7 Insect remains II.5.8 Mammal remains II.6 Discussion II.6.1 Local stratigraphic and palaeoenvironmental interpretation II.6.2 Beringian palaeoenvironmental context II.7 Conclusions Supplementary data A Supplementary data B Supplementary data C Appendix III: Data tables from Chapters 2 and 3 Appendix IV: References Acknowledgements
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  • 18
    Signatur: AWI S1-07-0025
    Beschreibung / Inhaltsverzeichnis: Since the publication of "Spectral Methods in Fluid Dynamics", spectral methods, particularly in their multidomain version, have become firmly established as a mainstream tool for scientific and engineering computation. While retaining the tight integration between the theoretical and practical aspects of spectral methods that was the hallmark of the earlier book, Canuto et al. now incorporate the many improvements in the algorithms and the theory of spectral methods that have been made since 1988. The initial treatment Fundamentals in Single Domains discusses the fundamentals of the approximation of solutions to ordinary and partial differential equations on single domains by expansions in smooth, global basis functions. The first half of the book provides the algorithmic details of orthogonal expansions, transform methods, spectral discretization of differential equations plus their boundary conditions, and solution of the discretized equations by direct and iterative methods. The second half furnishes a comprehensive discussion of the mathematical theory of spectral methods on single domains, including approximation theory, stability and convergence, and illustrative applications of the theory to model boundary-value problems. Both the algorithmic and theoretical discussions cover spectral methods on tensor-product domains, triangles and tetrahedra. All chapters are enhanced with material on the Galerkin with numerical integration version of spectral methods. The discussion of direct and iterative solution methods is greatly expanded as are the set of numerical examples that illustrate the key properties of the various types of spectral approximations and the solution algorithms. A companion book "Evolution to Complex Geometries and Applications to Fluid Dynamics" contains an extensive survey of the essential algorithmic and theoretical aspects of spectral methods for complex geometries and provides detailed discussions of spectral algorithms for fluid dynamics in simple and complex geometries.
    Materialart: Monographie ausleihbar
    Seiten: XXII, 563 Seiten , Illustrationen , 235 mm x 155 mm
    ISBN: 3540307257 , 3-540-30725-7 , 978-3-540-30725-9
    ISSN: 1434-8322
    Serie: Scientific computation
    Sprache: Englisch
    Anmerkung: Contents 1. Introduction 1.1 Historical Background 1.2 Some Examples of Spectral Methods 1.2.1 A Fourier Galerkin Method for the Wave Equation 1.2.2 A Chebyshev Collocation Method for the Heat Equation 1.2.3 A Legendre Galerkin with Numerical Integration (G-NI) Method for the Advection-Diffusion-Reaction Equation 1.2.4 A Legendre Tau Method for the Poisson Equation 1.2.5 Basic Aspects of Galerkin, Collocation, G-NI and Tau Methods 1.3 Three-Dimensional Applications in Fluids: A Look Ahead 2. Polynomial Approximation 2.1 The Fourier System 2.1.1 The Continuous Fourier Expansion 2.1.2 The Discrete Fourier Expansion 2.1.3 Differentiation 2.1.4 The Gibbs Phenomenon 2.2 Orthogonal Polynomials in (−1, 1) 2.2.1 Sturm-Liouville Problems 2.2.2 Orthogonal Systems of Polynomials 2.2.3 Gauss-Type Quadratures and Discrete Polynomial Transforms 2.3 Legendre Polynomials 2.3.1 Basic Formulas 2.3.2 Differentiation 2.3.3 Orthogonality, Diagonalization and Localization 2.4 Chebyshev Polynomials 2.4.1 Basic Formulas 2.4.2 Differentiation 2.5 Jacobi Polynomials 2.6 Approximation in Unbounded Domains 2.6.1 Laguerre Polynomials and Laguerre Functions 2.6.2 Hermite Polynomials and Hermite Functions 2.7 Mappings for Unbounded Domains 2.7.1 Semi-Infinite Intervals 2.7.2 The Real Line 2.8 Tensor-Product Expansions 2.8.1 Multidimensional Mapping 2.9 Expansions on Triangles and Related Domains 2.9.1 Collapsed Coordinates and Warped Tensor-Product Expansions 2.9.2 Non-Tensor-Product Expansions 2.9.3 Mappings 3. Basic Approaches to Constructing Spectral Methods 3.1 Burgers Equation 3.2 Strong and Weak Formulations of Differential Equations 3.3 Spectral Approximation of the Burgers Equation 3.3.1 Fourier Galerkin 3.3.2 Fourier Collocation 3.3.3 Chebyshev Tau 3.3.4 Chebyshev Collocation 3.3.5 Legendre G-NI 3.4 Convolution Sums 3.4.1 Transform Methods and Pseudospectral Methods 3.4.2 Aliasing Removal by Padding or Truncation 3.4.3 Aliasing Removal by Phase Shifts 3.4.4 Aliasing Removal for Orthogonal Polynomials 3.5 Relation Between Collocation, G-NI and Pseudospectral Methods 3.6 Conservation Forms 3.7 Scalar Hyperbolic Problems 3.7.1 Enforcement of Boundary Conditions 3.7.2 Numerical Examples 3.8 Matrix Construction for Galerkin and G-NI Methods 3.8.1 Matrix Elements 3.8.2 An Example of Algebraic Equivalence between G-NI and Collocation Methods 3.9 Polar Coordinates 3.10 Aliasing Effects 4. Algebraic Systems and Solution Techniques 4.1 Ad-hoc Direct Methods 4.1.1 Fourier Approximations 4.1.2 Chebyshev Tau Approximations 4.1.3 Galerkin Approximations 4.1.4 Schur Decomposition and Matrix Diagonalization 4.2 Direct Methods 4.2.1 Tensor Products of Matrices 4.2.2 Multidimensional Stiffness and Mass Matrices 4.2.3 Gaussian Elimination Techniques 4.3 Eigen-Analysis of Spectral Derivative Matrices 4.3.1 Second-Derivative Matrices 4.3.2 First-Derivative Matrices 4.3.3 Advection-Diffusion Matrices 4.4 Preconditioning 4.4.1 Fundamentals of Iterative Methods for Spectral Discretizations 4.4.2 Low-Order Preconditioning of Model Spectral Operators in One Dimension 4.4.3 Low-Order Preconditioning in Several Dimensions 4.4.4 Spectral Preconditioning 4.5 Descent and Krylov Iterative Methods for Spectral Equations 4.5.1 Multidimensional Matrix-Vector Multiplication 4.5.2 Iterative Methods 4.6 Spectral Multigrid Methods 4.6.1 One-Dimensional Fourier Multigrid Model Problem 4.6.2 General Spectral Multigrid Methods 4.7 Numerical Examples of Direct and Iterative Methods 4.7.1 Fourier Collocation Discretizations 4.7.2 Chebyshev Collocation Discretizations 4.7.3 Legendre G-NI Discretizations 4.7.4 Preconditioners for Legendre G-NI Matrices 4.8 Interlude 5. Polynomial Approximation Theory 5.1 Fourier Approximation 5.1.1 Inverse Inequalities for Trigonometric Polynomials 5.1.2 Estimates for the Truncation and Best Approximation Errors 5.1.3 Estimates for the Interpolation Error 5.2 Sturm-Liouville Expansions 5.2.1 Regular Sturm-Liouville Problems 5.2.2 Singular Sturm-Liouville Problems 5.3 Discrete Norms 5.4 Legendre Approximations 5.4.1 Inverse Inequalities for Algebraic Polynomials 5.4.2 Estimates for the Truncation and Best Approximation Errors 5.4.3 Estimates for the Interpolation Error 5.4.4 Scaled Estimates 5.5 Chebyshev Approximations 5.5.1 Inverse Inequalities for Polynomials 5.5.2 Estimates for the Truncation and Best Approximation Errors 5.5.3 Estimates for the Interpolation Error 5.6 Proofs of Some Approximation Results 5.7 Other Polynomial Approximations 5.7.1 Jacobi Polynomials 5.7.2 Laguerre and Hermite Polynomials 5.8 Approximation in Cartesian-Product Domains 5.8.1 Fourier Approximations 5.8.2 Legendre Approximations 5.8.3 Mapped Operators and Scaled Estimates 5.8.4 Chebyshev and Other Jacobi Approximations 5.8.5 Blended Trigonometric and Algebraic Approximations 5.9 Approximation in Triangles and Related Domains 6. Theory of Stability and Convergence 6.1 Three Elementary Examples Revisited 6.1.1 A Fourier Galerkin Method for the Wave Equation 6.1.2 A Chebyshev Collocation Method for the Heat Equation 6.1.3 A Legendre Tau Method for the Poisson Equation 6.2 Towards a General Theory 6.3 General Formulation of Spectral Approximations to Linear Steady Problems 6.4 Galerkin, Collocation, G-NI and Tau Methods 6.4.1 Galerkin Methods 6.4.2 Collocation Methods 6.4.3 G-NI Methods 6.4.4 Tau Methods 6.5 General Formulation of Spectral Approximations to Linear Evolution Problems 6.5.1 Conditions for Stability and Convergence: The Parabolic Case 6.5.2 Conditions for Stability and Convergence: The Hyperbolic Case 6.6 The Error Equation 7. Analysis of Model Boundary-Value Problems 7.1 The Poisson Equation 7.1.1 Legendre Methods 7.1.2 Chebyshev Methods 7.1.3 Other Boundary-Value Problems 7.2 Singularly Perturbed Elliptic Equations 7.2.1 Stabilization of Spectral Methods 7.3 The Eigenvalues of Some Spectral Operators 7.3.1 The Discrete Eigenvalues for Lu = −uxx 7.3.2 The Discrete Eigenvalues for Lu = −νuxx + βux 7.3.3 The Discrete Eigenvalues for Lu = ux 7.4 The Preconditioning of Spectral Operators 7.5 The Heat Equation 7.6 Linear Hyperbolic Equations 7.6.1 Periodic Boundary Conditions 7.6.2 Nonperiodic Boundary Conditions 7.6.3 The Resolution of the Gibbs Phenomenon 7.6.4 Spectral Accuracy for Non-Smooth Solutions 7.7 Scalar Conservation Laws 7.8 The Steady Burgers Equation Appendix A. Basic Mathematical Concepts A.1 Hilbert and Banach Spaces A.2 The Cauchy-Schwarz Inequality A.3 Linear Operators Between Banach Spaces A.4 The Fr´echet Derivative of an Operator A.5 The Lax-Milgram Theorem A.6 Dense Subspace of a Normed Space A.7 The Spaces Cm(Ω), m ≥ 0 A.8 Functions of Bounded Variation and the Riemann(-Stieltjes) Integral A.9 The Lebesgue Integral and Lp-Spaces A.10 Infinitely Differentiable Functions and Distributions A.11 Sobolev Spaces and Sobolev Norms A.12 The Sobolev Inequality A.13 The Poincar´e Inequality A.14 The Hardy Inequality A.15 The Gronwall Lemma Appendix B. Fast Fourier Transforms Appendix C. Iterative Methods for Linear Systems C.1 A Gentle Approach to Iterative Methods C.2 Descent Methods for Symmetric Problems C.3 Krylov Methods for Nonsymmetric Problems Appendix D. Time Discretizations D.1 Notation and Stability Definitions D.2 Standard ODE Methods D.2.1 Leap Frog Method D.2.2 Adams-Bashforth Methods D.2.3 Adams-Moulton Methods D.2.4 Backwards-Difference Formulas D.2.5 Runge-Kutta Methods D.3 Integrating Factors D.4 Low-Storage Schemes References Index
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    Serie: Jare Data Reports 291 : Marine Biology 35
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    Serie: Jare Data Reports 285 : Seismology 40
    Sprache: Englisch
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    Serie: JARE data reports 295 : Oceanography 30
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    Serie: JARE data reports 293 : Oceanography 28
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    Serie: JARE data reports 294 : Oceanography 29
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  • 28
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    Serie: Jare Data Reports 288 : Upper Atmosphere Physics 23
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    Signatur: ZSP-403-287
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    Serie: Jare Data Reports 287 : Upper Atmosphere Physics 22
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  • 30
    Signatur: AWI G3-22-94800
    Materialart: Dissertationen
    Seiten: ix, 85 Seiten , Illustrationen
    Sprache: Englisch
    Anmerkung: Dissertation, Universität Potsdam, 2006
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  • 31
    Signatur: AWI G9-06-0036 ; AWI G9-10-0040
    Beschreibung / Inhaltsverzeichnis: Sixty articles arranged in eight thematic sections refer to most recent geological and geophysical results of Antarctic research. The Precambrian of the East Antarctic shield and its geological history is considered as well as sub-ice topography, geophysics and stratigraphy, sedimentology and geophysics of the surrounding Southern Ocean. Particular emphasis is given to the connection of the Antarctic and the surrounding continents when forming part of Gondwana.
    Materialart: Monographie ausleihbar
    Seiten: XX, 492 Seiten , Illustrationen, Diagramme, Karten
    ISBN: 3540306730
    ISSN: 3-540-30673-0
    Sprache: Englisch
    Anmerkung: Contents Theme 1 History of Antarctic Research 1.1 The Road to Gondwana via the Early SCAR Symposia / A. B. Ford 1.2 Exploring the Unknown: History of the First German South Polar Expedition 1901–1903 / C. Lüdecke Theme 2 Antarctica – The Old Core 2.1 Characteristics of Metamorphosed Banded Iron Formation and Its Relation to the Magnetic Anomaly in the Mt. Riiser-Larsen Area, Amundsen Bay, Enderby Land, Antarctica / M. Funaki, P. Dolinsky, N. Ishikawa, A. Yamazaki 2.2 Experimental Constraints on the Decompressional P-T Paths of Rundvågshetta Granulites, Lützow-Holm Complex, East Antarctica / T. Kawasaki, Y. Motoyoshi 2.3 Sapphirine – Orthopyroxene – Garnet Granulite from Schirmacher Hills, Central Dronning Maud Land / S. Baba, M. Owada, E. S. Grew, K. Shiraishi 2.4 Genesis of Ferropotassic A-Type Granitoids of Mühlig-Hofmannfjella, Central Dronning Maud Land, East Antarctica / M. J. D’Souza, A. V. K. Prasad, R. Ravindra 2.5 Late Pan-African Fluid Infiltration in the Mühlig-Hofmann- and Filchnerfjella of Central Dronning Maud Land, East Antarctica / A. K. Engvik, S. Elvevold 2.6 Electron Microprobe (EMP) Dating on Monazite from Forefinger Point Granulites, East Antarctica: Implication for Pan-African Overprint / Y. Motoyoshi, T. Hokada, K. Shiraishi 2.7 Tectonic Subdivision of the Prince Charles Mountains: A Review of Geologic and Isotopic Data / E. V. Mikhalsky, A. A. Laiba, B. V. Beliatsky 2.8 Crustal Provinces of the Prince Charles Mountains Region and Surrounding Areas in the Light of Aeromagnetic Data / A. V. Golynsky, V. N. Masolov, V. S. Volnukhin, D. A. Golynsky 2.9 Magnetic Anomalies of the Grove Mountains Region and Their Geological Significance / A. V. Golynsky, D. A. Golynsky, V. N. Masolov, V. S. Volnukhin Theme 3 The Continent Beneath the Ice 3.1 ADMAP – A Digital Magnetic Anomaly Map of the Antarctic / A. V. Golynsky, M. Chiappini, D. Damaske, F. Ferraccioli, C. A. Finn, T. Ishihara, H. R. Kim, L. Kovacs, V. N. Masolov, P. Morris, R. von Frese 3.2 Identifying Major Sedimentary Basins Beneath the West Antarctic Ice Sheet from Aeromagnetic Data Analysis / R. E. Bell, M. Studinger, G. Karner, C. A. Finn, D. D. Blankenship 3.3 Bedrock Plateaus within the Ross Embayment and beneath the West Antarctic Ice Sheet, Formed by Marine Erosion in Late Tertiary Time / D. S. Wilson, B. P. Luyendyk 3.4 Inversion of Airborne Gravity Data Acquired over Subglacial Lakes in East Antarctica / I. Y. Filina, D. D. Blankenship, L. Roy, M. K. Sen, T. G. Richter, J. W. Holt 3.5 Russian Geophysical Studies of Lake Vostok, Central East Antarctica / V. N. Masolov, S. V. Popov, V. V. Lukin, A. N. Sheremetyev, A. M. Popkov 3.6 Morphology of the Subglacial Bed Relief of Lake Vostok Basin Area (Central East Antarctica) Based on RES and Seismic Data / S. V. Popov, A. N. Lastochkin, V. N. Masolov, A. M. Popkov 3.7 Deep Reflection Imaging beneath the Mizuho Plateau, East Antarctica, by SEAL-2002 Seismic Experiment / M. Yamashita, H. Miyamachi, M. Kanao, T. Matsushima, S. Toda, M. Takada, A. Watanabe 3.8 Seismic Anisotropy beneath Northern Victoria Land from SKS Splitting Analysis / S. Pondrelli, L. Margheriti, S. Danesi Theme 4 Gondwana Margins in Antarctica 4.1 Scouting Craton’s Edge in Paleo-Pacific Gondwana / C. A. Finn, J. W. Goodge, D. Damaske, C. M. Fanning 4.2 The Matusevich Fracture Zone in Oates Land, East Antarctica / G. Kleinschmidt, A. L. Läufer 4.3 Tectonic Model for Development of the Byrd Glacier Discontinuity and Surrounding Regions of the Transantarctic Mountains during the Neoproterozoic – Early Paleozoic / E. Stump, B. Gootee, F. Talarico 4.4 Depositional Environments of the Byrd Group, Byrd Glacier Area: A Cambrian Record of Sedimentation, Tectonism, and Magmatism / B. Gootee, E. Stump 4.5 Late-Ross Structures in the Wilson Terrane in the Rennick Glacier Area (Northern Victoria Land, Antarctica) / A. L. Läufer, G. Kleinschmidt, F. Rossetti 4.6 Style of Uplift of Paleozoic Terranes in Northern Victoria Land, Antarctica: Evidence from K-Ar Age Patterns / C. J. Adams Theme 5 Antarctic Peninsula Active Margin Tectonics 5.1 Patagonia – Antarctica Connections before Gondwana Break-Up / F. Hervé, H. Miller, C. Pimpirev 5.2 Moho Depth along the Antarctic Peninsula and Crustal Structure across the Landward Projection of the Hero Fracture Zone / T. Janik, P. Þroda, M. Grad, A. Guterch 5.3 Crustal Thinning and the Development of Deep Depressions at the Scotia- Antarctic Plate Boundary (Southern Margin of Discovery Bank, Antarctica) / J. Galindo-Zaldívar, J. C. Balanyá, F. Bohoyo, A. Jabaloy, A. Maldonado, J. M. Martínez-Martínez, J. Rodríguez-Fernández, E. Suriñach 5.4 Bransfield Basin Tectonic Evolution / J. Galindo-Zaldívar, L. Gamboa , A. Maldonado, S. Nakao, Y. Bochu 5.5 The Sedimentary Sequences of Hurd Peninsula, Livingston Island, South Shetland Islands: Part of the Late Jurassic–Cretaceous Depositional History of the Antarctic Peninsula / C. Pimpirev, K. Stoykova, M. Ivanov, D. Dimov 5.6 Regional Structures and Geodynamic Evolution of North Greenwich (Fort Williams Point) and Dee Islands, South Shetland Islands / J. F. Dumont, E. Santana, F. Hervé, C. Zapata 5.7 The Eocene Volcaniclastic Sejong Formation, Barton Peninsula, King George Island, Antarctica: Evolving Arc Volcanism from Precursory Fire Fountaining to Vulcanian Eruptions / S. B. Kim, Y. K. Sohn, M. Y. Choe 5.8 Elephant Island Recent Tectonics in the Framework of the Scotia-Antarctic-South Shetland Block Triple Junction (NE Antarctic Peninsula) / J. Galindo-Zaldívar, A. Maestro, J. López-Martínez, C. S. de Galdeano 5.9 Tectonics and Geomorphology of Elephant Island, South Shetland Islands / J. López-Martínez, R. A. J. Trouw, J. Galindo-Zaldívar, A. Maestro, L. S. A. Simões, F. F. Medeiros, C. C. Trouw 5.10 Geodynamical Studies on Deception Island: DECVOL and GEODEC Projects / M. Berrocoso, A. García-García, J. Martín-Dávila, M. Catalán-Morollón, M. Astiz, M. E. Ramírez, C. Torrecillas, J. M. E. de Salamanca Theme 6 Antarctic Rift Tectonics 6.1 Mawson Breccias Intrude Beacon Strata at Allan Hills, South Victoria Land: Regional Implications / D. H. Elliot, E. H. Fortner, C. B. Grimes 6.2 What Supports the Marie Byrd Land Dome? An Evaluation of Potential Uplift Mechanisms in a Continental Rift System / W. E. LeMasurier 6.3 A Multi-Phase Rifting Model for the Victoria Land Basin, Western Ross Sea / F. J. Davey, L. De Santis 6.4 Rift History of the Western Victoria Land Basin: A new Perspective Based on Integration of Cores with Seismic Reflection Data / C. R. Fielding, S. A. Henrys, T. J. Wilson 6.5 Constraints on the Timing of Extension in the Northern Basin, Ross Sea / S. C. Cande, J. M. Stock 6.6 The Structure of the Continental Margin off Wilkes Land and Terre Adélie Coast, East Antarctica / J. B. Colwell, H. M. J. Stagg, N. G. Direen, G. Bernardel, I. Borissova 6.7 Post-Rift Continental Slope and Rise Sediments from 38° E to 164° E, East Antarctica / P. E. O’Brien, S. Stanley, R. Parums Theme 7 Antarctic Neotectonics, Observatories and Data Bases 7.1 On Seismic Strain-Release within the Antarctic Plate / A. M. Reading 7.2 Vertical Crustal Deformation in Dronning Maud Land, Antarctica: Observation versus Model Prediction / M. Scheinert, E. Ivins, R. Dietrich, A. Rülke 7.3 Seismic Activity Associated with Surface Environmental Changes of the Earth System, around Syowa Station, East Antarctica / M. Kanao, K. Kaminuma 7.4 Geodynamic Features and Density Structure of the Earth’s Interior of the Antarctic and Surrounded Regions with the Gravimetric Tomography Method / R. Kh. Greku, V. P. Usenko, T. R. Greku 7.5 Some Recent Characteristics of Geomagnetic Secular Variations in Antarctica / A. Meloni, L. R. Gaya-Piqué, P. De Michelis, A. De Santis 7.6 Topographic and Geodetic Research by GPS, Echosounding and ERS Altimetric, and SAR Interferometric Surveys during Ukrainian Antarctic Expeditions in the West Antarctic / R. Greku, G. Milinevsky, Y. Ladanovsky, P. Bahmach, T. Greku 7.7 Geodetic Research o
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