TY - JOUR A1 - Öztürk, Ugur A1 - Marwan, Norbert A1 - von Specht, Sebastian A1 - Korup, Oliver A1 - Jensen, J. T1 - A new centennial sea-level record for Antalya, Eastern Mediterranean JF - Journal of geophysical research-oceans N2 - Quantitative estimates of sea-level rise in the Mediterranean Basin become increasingly accurate thanks to detailed satellite monitoring. However, such measuring campaigns cover several years to decades, while longer-term sea-level records are rare for the Mediterranean. We used a data archeological approach to reanalyze monthly mean sea-level data of the Antalya-I (1935–1977) tide gauge to fill this gap. We checked the accuracy and reliability of these data before merging them with the more recent records of the Antalya-II (1985–2009) tide gauge, accounting for an eight-year hiatus. We obtain a composite time series of monthly and annual mean sea levels spanning some 75 years, providing the longest record for the eastern Mediterranean Basin, and thus an essential tool for studying the region's recent sea-level trends. We estimate a relative mean sea-level rise of 2.2 ± 0.5 mm/year between 1935 and 2008, with an annual variability (expressed here as the standard deviation of the residuals, σresiduals = 41.4 mm) above that at the closest tide gauges (e.g., Thessaloniki, Greece, σresiduals = 29.0 mm). Relative sea-level rise accelerated to 6.0 ± 1.5 mm/year at Antalya-II; we attribute roughly half of this rate (~3.6 mm/year) to tectonic crustal motion and anthropogenic land subsidence. Our study highlights the value of data archeology for recovering and integrating historic tide gauge data for long-term sea-level and climate studies. KW - sea level KW - tide gauge KW - data archeology KW - Mediterranean Sea Y1 - 2018 U6 - https://doi.org/10.1029/2018JC013906 SN - 2169-9275 SN - 2169-9291 VL - 123 IS - 7 SP - 4503 EP - 4517 PB - American Geophysical Union CY - Washington ER - TY - JOUR A1 - Öztürk, Ugur A1 - Bozzolan, Elisa A1 - Holcombe, Elizabeth A. A1 - Shukla, Roopam A1 - Pianosi, Francesca A1 - Wagener, Thorsten T1 - How climate change and unplanned urban sprawl bring more landslides JF - Nature : the international weekly journal of science N2 - More settlements will suffer as heavy rains and unregulated construction destabilize slopes in the tropics, models show. KW - Geophysics KW - Engineering KW - Climate change KW - Policy Y1 - 2022 U6 - https://doi.org/10.1038/d41586-022-02141-9 SN - 0028-0836 SN - 1476-4687 VL - 608 IS - 7922 SP - 262 EP - 265 PB - Nature portfolio CY - Berlin ER - TY - THES A1 - Öztürk, Ugur T1 - Learning more to predict landslides T1 - Ein verbessertes Wissen zur Prognose von Hangrutschungen N2 - Landslides are frequent natural hazards in rugged terrain, when the resisting frictional force of the surface of rupture yields to the gravitational force. These forces are functions of geological and morphological factors, such as angle of internal friction, local slope gradient or curvature, which remain static over hundreds of years; whereas more dynamic triggering events, such as rainfall and earthquakes, compromise the force balance by temporarily reducing resisting forces or adding transient loads. This thesis investigates landslide distribution and orientation due to landslide triggers (e.g. rainfall) at different scales (6-4∙10^5 km^2) and aims to link rainfall movement with the landslide distribution. It additionally explores the local impacts of the extreme rainstorms on landsliding and the role of precursory stability conditions that could be induced by an earlier trigger, such as an earthquake. Extreme rainfall is a common landslide trigger. Although several studies assessed rainfall intensity and duration to study the distribution of thus triggered landslides, only a few case studies quantified spatial rainfall patterns (i.e. orographic effect). Quantifying the regional trajectories of extreme rainfall could aid predicting landslide prone regions in Japan. To this end, I combined a non-linear correlation metric, namely event synchronization, and radial statistics to assess the general pattern of extreme rainfall tracks over distances of hundreds of kilometers using satellite based rainfall estimates. Results showed that, although the increase in rainfall intensity and duration positively correlates with landslide occurrence, the trajectories of typhoons and frontal storms were insufficient to explain landslide distribution in Japan. Extreme rainfall trajectories inclined northwestwards and were concentrated along some certain locations, such as coastlines of southern Japan, which was unnoticed in the landslide distribution of about 5000 rainfall-triggered landslides. These landslides seemed to respond to the mean annual rainfall rates. Above mentioned findings suggest further investigation on a more local scale to better understand the mechanistic response of landscape to extreme rainfall in terms of landslides. On May 2016 intense rainfall struck southern Germany triggering high waters and landslides. The highest damage was reported at the Braunsbach, which is located on the tributary-mouth fan formed by the Orlacher Bach. Orlacher Bach is a ~3 km long creek that drains a catchment of about ~6 km^2. I visited this catchment in June 2016 and mapped 48 landslides along the creek. Such high landslide activity was not reported in the nearby catchments within ~3300 km^2, despite similar rainfall intensity and duration based on weather radar estimates. My hypothesis was that several landslides were triggered by rainfall-triggered flash floods that undercut hillslope toes along the Orlacher Bach. I found that morphometric features such as slope and curvature play an important role in landslide distribution on this micro scale study site (<10 km^2). In addition, the high number of landslides along the Orlacher Bach could also be boosted by accumulated damages on hillslopes due karst weathering over longer time scales. Precursory damages on hillslopes could also be induced by past triggering events that effect landscape evolution, but this interaction is hard to assess independently from the latest trigger. For example, an earthquake might influence the evolution of a landscape decades long, besides its direct impacts, such as landslides that follow the earthquake. Here I studied the consequences of the 2016 Kumamoto Earthquake (MW 7.1) that triggered some 1500 landslides in an area of ~4000 km^2 in central Kyushu, Japan. Topography, i.e. local slope and curvature, both amplified and attenuated seismic waves, thus controlling the failure mechanism of those landslides (e.g. progressive). I found that topography fails in explaining the distribution and the preferred orientation of the landslides after the earthquake; instead the landslides were concentrated around the northeast of the rupture area and faced mostly normal to the rupture plane. This preferred location of the landslides was dominated mainly by the directivity effect of the strike-slip earthquake, which is the propagation of wave energy along the fault in the rupture direction; whereas amplitude variations of the seismic radiation altered the preferred orientation. I suspect that the earthquake directivity and the asymmetry of seismic radiation damaged hillslopes at those preferred locations increasing landslide susceptibility. Hence a future weak triggering event, e.g. scattered rainfall, could further trigger landslides at those damaged hillslopes. N2 - Hangrutschungen treten häufig in steilem Gelände auf, wenn die Erdanziehungskraft die Scherkräfte an der Oberfläche übersteigt. Diese Kräfte beinhalten geologische und geomorphologische Faktoren wie den Reibungswinkel oder die Neigung und Krümmung von Hängen, die über Jahrhunderte statisch bleiben können. Dynamische Ereignisse wie Regenfälle und Erdbeben können hingegen das Kräftegleichgewicht beeinträchtigen, indem sie Widerstandskräfte vorübergehend reduzieren oder Lasten temporär hinzufügen. Diese Arbeit untersucht die Verteilung und Orientierung von Hangrutschungen in Abhängigkeit von Auslösern (z.B. Niederschlag) auf verschiedenen Skalenebenen (6-4∙10^5 km^2) und verknüpft die Bewegung des Niederschlagssystems mit der Hangrutschungsverteilung. Zudem werden lokale Auswirkungen von extremen Gewittern auf Hangrutschungen untersucht, sowie vorausgehende Stabilitätsbedingungen, die durch ein früheres Ereignis, beispielsweise ein Erdbeben, verändert werden können. Extremer Niederschlag ist ein weithin bekannter Auslöser für Hangrutschungen. Obwohl mehrere Studien die Verteilung von Hangrutschungen mit der Niederschlagsintensität und -dauer verglichen haben, beachteten nur wenige Fallstudien das räumliche Bewegungsmuster des Niederschlags, i.e. den orographischen Effekt. Eine solche Quantifizierung könnte die Vorhersage von hangrutschungsgefährdete Regionen in Japan verbessern. Hierfür habe ich ein nicht-lineares Korrelationsmaß (event synchronization) auf regionale Sturmbahnen in Japan angewendet, um deren räumliche Verteilung durch satellitengestützen Regenschätzungen nachzuvollziehen. Die durchgeführten Untersuchungen zeigten, dass sich die Verteilung von Hangrutschungen nur unzureichend mit den Zugbahnen von Taifunen und Sturmtiefen erklären lässt. Die Stabilität von Hängen scheint mehr durch mittlere Jahresniederschlagsmengen beeinflusst zu werden. Erzielte Ergebnisse zeigen, dass weitere Untersuchungen auf lokaler Ebene nötig sind, um die unmittelbare Auswirkungen von Extremniederschlägen auf Hangstabilität und -rutschungen besser zu verstehen. Im Mai 2016 kam es in Süddeutschland zu einem heftigen Gewitter, das Hochwasser und Hangrutschungen ausgelöst hat. Der höchste Schaden wurde in Braunsbach, dessen Zentrum sich am Zufluss des Orlacher Bachs befindet, gemeldet. Der Orlacher Bach ist ~3 lang und hat ein Einzugsgebiet von etwa ~6 km^2. Ich habe dieses Einzugsgebiet im Juni 2016 besucht und 48 Hangrutschungen entlang des Baches kartiert. Ich vermutete, dass mehrere Hangrutschungen durch Sturzfluten ausgelöst wurden, welche die Hänge entlang des Orlacher Baches unterspülten. Ich stellte fest, dass morphometrische Merkmale wie die lokale Hangneigung und -krümmung eine wichtige Rolle bei der Hangrutschungsverteilung auf dieser Mikroskala spielen (<10 km^2). Darüber hinaus könnte die hohe Anzahl von Hangrutschungen am Orlacher Bach auch durch Karstverwitterung über längere Zeiträume verstärkt werden. Zahlreiche in der Vergangenheit liegende Ereignisse können die Stabilität eines Hanges beeinflussen. Der Einfluss solcher Ereignisse ist nur sehr schwer unabhängig voneinander abschätzbar. Beispielseise könnte ein Erdbeben die Entwicklung einer Landschaft über Jahrzehnte hin beeinflussen. Hier erforsche ich die Folgen des Kumamoto-Erdbebens 2016 (MW 7.1) das im Zentrum von Kyushu, Japan, ca. 1500 Hangrutschungen in einem Gebiet von ~4000 km^2 ausgelöst hat. Die Topographie (Hangneigung und -krümmung) verstärkte schwächte seismische Wellen gleichermaßen ab, wodurch der Auslösemechanismus dieser Hangrutschungen (z.B. progressiv) gesteuert wird. Ich konnte belegen, dass die Topographie die Verteilung und die bevorzugte Ausrichtung der Hangrutsche nach dem Erdbeben nicht erklären kann; stattdessen waren die Hangrutschungen um den Nordosten des Bruchgebiets herum konzentriert und standen meist senkrecht zur Bruchfläche. Diese bevorzugte Lage der Erdrutsche wurde hauptsächlich durch den Richtwirkungseffekt des Blattverschiebung-Erdbebens dominiert. Bei diesem handelt es sich um die Ausbreitung der Wellenenergie entlang des Bruches in Bruchrichtung, während Amplitudenvariationen der seismischen Strahlung die bevorzugte Orientierung ändern. Ich vermute, dass die Richtwirkung des Erdbebens und die Asymmetrie der seismischen Strahlung die Hangneigung an diesen bevorzugten Stellen schädigten und die Anfälligkeit für Hangrutschungen erhöhten. Daher könnte ein zukünftiges schwaches Ereignis wie z.B. ein unbedeutender Niederschlag an diesen beschädigten Hängen weitere Hangrutschungen auslösen. KW - landslides KW - complex networks KW - event synchronization KW - typhoons KW - Kumamoto earthquake KW - Braunsbach flash flood KW - Hangrutschungen KW - komplexes Netzwerk KW - Synchronisation von Ereignissen KW - Taifune KW - Kumamoto Erdbeben KW - Braunsbach Sturzflut Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-426439 ER - TY - JOUR A1 - Özcan, Orkan A1 - Bookhagen, Bodo A1 - Musaoglu, Nebiye T1 - Impact of the Ataturk Dam Lake on Agro-Meteorological Aspects of the Southeastern Anatolia Region, Turkey JF - Journal of the Indian Society of Remote Sensing N2 - In this study, the spatial and temporal impacts of the Ataturk Dam on agro-meteorological aspects of the Southeastern Anatolia region have been investigated. Change detection and environmental impacts due to water-reserve changes in Ataturk Dam Lake have been determined and evaluated using multi-temporal Landsat satellite imageries and meteorological datasets within a period of 1984-2011. These time series have been evaluated for three time periods. Dam construction period constitutes the first part of the study. Land cover/use changes especially on agricultural fields under the Ataturk Dam Lake and its vicinity have been identified between the periods of 1984-1992. The second period comprises the 10-year period after the completion of filling up the reservoir in 1992. At this period, Landsat and meteorological time-series analyses are examined to assess the impact of the Ataturk Dam Lake on selected irrigated agricultural areas. For the last 9-year period from 2002 to 2011, the relationships between seasonal water-reserve changes and irrigated plains under changing climatic factors primarily driving vegetation activity (monthly, seasonal, and annual fluctuations of rainfall rate, air temperature, humidity) on the watershed have been investigated using a 30-year meteorological time series. The results showed that approximately 368 km(2) of agricultural fields have been affected because of inundation due to the Ataturk Dam Lake. However, irrigated agricultural fields have been increased by 56.3% of the total area (1552 of 2756 km(2)) on Harran Plain within the period of 1984-2011. KW - Ataturk Dam Lake KW - Harran Plain KW - Landsat time-series KW - Tasseled Cap transformation KW - Disturbance index Y1 - 2018 U6 - https://doi.org/10.1007/s12524-017-0703-9 SN - 0255-660X SN - 0974-3006 VL - 46 IS - 3 SP - 471 EP - 481 PB - Springer CY - New York ER - TY - GEN A1 - Zöller, Gert T1 - Comment on "Estimation of Earthquake Hazard Parameters from Incomplete Data Files. Part III. Incorporation of Uncertainty of Earthquake-Occurrence Model" by Andrzej Kijko, Ansie Smit, and Markvard A. Sellevoll T2 - Bulletin of the Seismological Society of America N2 - Kijko et al. (2016) present various methods to estimate parameters that are relevant for probabilistic seismic-hazard assessment. One of these parameters, although not the most influential, is the maximum possible earthquake magnitude m(max). I show that the proposed estimation of m(max) is based on an erroneous equation related to a misuse of the estimator in Cooke (1979) and leads to unstable results. So far, reported finite estimations of m(max) arise from data selection, because the estimator in Kijko et al. (2016) diverges with finite probability. This finding is independent of the assumed distribution of earthquake magnitudes. For the specific choice of the doubly truncated Gutenberg-Richter distribution, I illustrate the problems by deriving explicit equations. Finally, I conclude that point estimators are generally not a suitable approach to constrain m(max). Y1 - 2017 U6 - https://doi.org/10.1785/0120160193 SN - 0037-1106 SN - 1943-3573 VL - 107 SP - 1975 EP - 1978 PB - Seismological Society of America CY - Albany ER - TY - JOUR A1 - Zwieback, Simon A1 - Kokelj, Steven V. A1 - Günther, Frank A1 - Boike, Julia A1 - Grosse, Guido A1 - Hajnsek, Irena T1 - Sub-seasonal thaw slump mass wasting is not consistently energy limited at the landscape scale JF - The Cryosphere : TC ; an interactive open access journal of the European Geosciences Union N2 - Predicting future thaw slump activity requires a sound understanding of the atmospheric drivers and geomorphic controls on mass wasting across a range of timescales. On sub-seasonal timescales, sparse measurements indicate that mass wasting at active slumps is often limited by the energy available for melting ground ice, but other factors such as rainfall or the formation of an insulating veneer may also be relevant. To study the sub-seasonal drivers, we derive topographic changes from single-pass radar interferometric data acquired by the TanDEM-X satellites. The estimated elevation changes at 12m resolution complement the commonly observed planimetric retreat rates by providing information on volume losses. Their high vertical precision (around 30 cm), frequent observations (11 days) and large coverage (5000 km(2)) allow us to track mass wasting as drivers such as the available energy change during the summer of 2015 in two study regions. We find that thaw slumps in the Tuktoyaktuk coastlands, Canada, are not energy limited in June, as they undergo limited mass wasting (height loss of around 0 cm day 1) despite the ample available energy, suggesting the widespread presence of early season insulating snow or debris veneer. Later in summer, height losses generally increase (around 3 cm day 1), but they do so in distinct ways. For many slumps, mass wasting tracks the available energy, a temporal pattern that is also observed at coastal yedoma cliffs on the Bykovsky Peninsula, Russia. However, the other two common temporal trajectories are asynchronous with the available energy, as they track strong precipitation events or show a sudden speed-up in late August respectively. The observed temporal patterns are poorly related to slump characteristics like the headwall height. The contrasting temporal behaviour of nearby thaw slumps highlights the importance of complex local and temporally varying controls on mass wasting. Y1 - 2018 U6 - https://doi.org/10.5194/tc-12-549-2018 SN - 1994-0416 SN - 1994-0424 VL - 12 IS - 2 SP - 549 EP - 564 PB - Copernicus CY - Göttingen ER - TY - JOUR A1 - Zurell, Damaris A1 - Grimm, Volker A1 - Rossmanith, Eva A1 - Zbinden, Niklaus A1 - Zimmermann, Niklaus E. A1 - Schröder-Esselbach, Boris T1 - Uncertainty in predictions of range dynamics black grouse climbing the Swiss Alps JF - Ecography : pattern and diversity in ecology ; research papers forum N2 - Empirical species distribution models (SDMs) constitute often the tool of choice for the assessment of rapid climate change effects on species vulnerability. Conclusions regarding extinction risks might be misleading, however, because SDMs do not explicitly incorporate dispersal or other demographic processes. Here, we supplement SDMs with a dynamic population model 1) to predict climate-induced range dynamics for black grouse in Switzerland, 2) to compare direct and indirect measures of extinction risks, and 3) to quantify uncertainty in predictions as well as the sources of that uncertainty. To this end, we linked models of habitat suitability to a spatially explicit, individual-based model. In an extensive sensitivity analysis, we quantified uncertainty in various model outputs introduced by different SDM algorithms, by different climate scenarios and by demographic model parameters. Potentially suitable habitats were predicted to shift uphill and eastwards. By the end of the 21st century, abrupt habitat losses were predicted in the western Prealps for some climate scenarios. In contrast, population size and occupied area were primarily controlled by currently negative population growth and gradually declined from the beginning of the century across all climate scenarios and SDM algorithms. However, predictions of population dynamic features were highly variable across simulations. Results indicate that inferring extinction probabilities simply from the quantity of suitable habitat may underestimate extinction risks because this may ignore important interactions between life history traits and available habitat. Also, in dynamic range predictions uncertainty in SDM algorithms and climate scenarios can become secondary to uncertainty in dynamic model components. Our study emphasises the need for principal evaluation tools like sensitivity analysis in order to assess uncertainty and robustness in dynamic range predictions. A more direct benefit of such robustness analysis is an improved mechanistic understanding of dynamic species responses to climate change. Y1 - 2012 U6 - https://doi.org/10.1111/j.1600-0587.2011.07200.x SN - 0906-7590 VL - 35 IS - 7 SP - 590 EP - 603 PB - Wiley-Blackwell CY - Hoboken ER - TY - JOUR A1 - Zurell, Damaris A1 - Berger, Uta A1 - Cabral, Juliano Sarmento A1 - Jeltsch, Florian A1 - Meynard, Christine N. A1 - Muenkemueller, Tamara A1 - Nehrbass, Nana A1 - Pagel, Jörn A1 - Reineking, Bjoern A1 - Schroeder, Boris A1 - Grimm, Volker T1 - The virtual ecologist approach : simulating data and observers N2 - Ecologists carry a well-stocked toolbox with a great variety of sampling methods, statistical analyses and modelling tools, and new methods are constantly appearing. Evaluation and optimisation of these methods is crucial to guide methodological choices. Simulating error-free data or taking high-quality data to qualify methods is common practice. Here, we emphasise the methodology of the 'virtual ecologist' (VE) approach where simulated data and observer models are used to mimic real species and how they are 'virtually' observed. This virtual data is then subjected to statistical analyses and modelling, and the results are evaluated against the 'true' simulated data. The VE approach is an intuitive and powerful evaluation framework that allows a quality assessment of sampling protocols, analyses and modelling tools. It works under controlled conditions as well as under consideration of confounding factors such as animal movement and biased observer behaviour. In this review, we promote the approach as a rigorous research tool, and demonstrate its capabilities and practical relevance. We explore past uses of VE in different ecological research fields, where it mainly has been used to test and improve sampling regimes as well as for testing and comparing models, for example species distribution models. We discuss its benefits as well as potential limitations, and provide some practical considerations for designing VE studies. Finally, research fields are identified for which the approach could be useful in the future. We conclude that VE could foster the integration of theoretical and empirical work and stimulate work that goes far beyond sampling methods, leading to new questions, theories, and better mechanistic understanding of ecological systems. Y1 - 2010 UR - http://www3.interscience.wiley.com/cgi-bin/issn?DESCRIPTOR=PRINTISSN&VALUE=0030-1299 U6 - https://doi.org/10.1111/j.1600-0706.2009.18284.x SN - 0030-1299 ER - TY - JOUR A1 - Zuhr, Alexandra M. A1 - Dolman, Andrew M. A1 - Ho, Sze Ling A1 - Groeneveld, Jeroen A1 - Loewemark, Ludvig A1 - Grotheer, Hendrik A1 - Su, Chih-Chieh A1 - Laepple, Thomas T1 - Age-heterogeneity in marine sediments revealed by three-dimensional high-resolution radiocarbon measurements JF - Frontiers in Earth Science N2 - Marine sedimentary archives are routinely used to reconstruct past environmental changes. In many cases, bioturbation and sedimentary mixing affect the proxy time-series and the age-depth relationship. While idealized models of bioturbation exist, they usually assume homogeneous mixing, thus that a single sample is representative for the sediment layer it is sampled from. However, it is largely unknown to which extent this assumption holds for sediments used for paleoclimate reconstructions. To shed light on 1) the age-depth relationship and its full uncertainty, 2) the magnitude of mixing processes affecting the downcore proxy variations, and 3) the representativity of the discrete sample for the sediment layer, we designed and performed a case study on South China Sea sediment material which was collected using a box corer and which covers the last glacial cycle. Using the radiocarbon content of foraminiferal tests as a tracer of time, we characterize the spatial age-heterogeneity of sediments in a three-dimensional setup. In total, 118 radiocarbon measurements were performed on defined small- and large-volume bulk samples ( similar to 200 specimens each) to investigate the horizontal heterogeneity of the sediment. Additionally, replicated measurements on small numbers of specimens (10 x 5 specimens) were performed to assess the heterogeneity within a sample volume. Visual assessment of X-ray images and a quantitative assessment of the mixing strength show typical mixing from bioturbation corresponding to around 10 cm mixing depth. Notably, our 3D radiocarbon distribution reveals that the horizontal heterogeneity (up to 1,250 years), contributing to the age uncertainty, is several times larger than the typically assumed radiocarbon based age-model error (single errors up to 250 years). Furthermore, the assumption of a perfectly bioturbated layer with no mixing underneath is not met. Our analysis further demonstrates that the age-heterogeneity might be a function of sample size; smaller samples might contain single features from the incomplete mixing and are thus less representative than larger samples. We provide suggestions for future studies, optimal sampling strategies for quantitative paleoclimate reconstructions and realistic uncertainty in age models, as well as discuss possible implications for the interpretation of paleoclimate records. KW - paleoceanography KW - radiocarbon KW - age-heterogeneity KW - marine sediments KW - planktonic foraminifera KW - bioturbation KW - agemodeling KW - South China Sea Y1 - 2022 U6 - https://doi.org/10.3389/feart.2022.871902 SN - 2296-6463 VL - 10 PB - Frontiers Media CY - Lausanne ER - TY - THES A1 - Zuhr, Alexandra T1 - Proxy signal formation in palaeoclimate archives T1 - Proxy-Signalbildung in Paläoklimaarchiven BT - a characterisation of climate signal deposition and modification in marine sediments and polar ice BT - eine Charakterisierung der Ablagerung und Veränderung von Klimasignalen in Meeressedimenten und Polarem Ei N2 - Throughout the last ~3 million years, the Earth's climate system was characterised by cycles of glacial and interglacial periods. The current warm period, the Holocene, is comparably stable and stands out from this long-term cyclicality. However, since the industrial revolution, the climate has been increasingly affected by a human-induced increase in greenhouse gas concentrations. While instrumental observations are used to describe changes over the past ~200 years, indirect observations via proxy data are the main source of information beyond this instrumental era. These data are indicators of past climatic conditions, stored in palaeoclimate archives around the Earth. The proxy signal is affected by processes independent of the prevailing climatic conditions. In particular, for sedimentary archives such as marine sediments and polar ice sheets, material may be redistributed during or after the initial deposition and subsequent formation of the archive. This leads to noise in the records challenging reliable reconstructions on local or short time scales. This dissertation characterises the initial deposition of the climatic signal and quantifies the resulting archive-internal heterogeneity and its influence on the observed proxy signal to improve the representativity and interpretation of climate reconstructions from marine sediments and ice cores. To this end, the horizontal and vertical variation in radiocarbon content of a box-core from the South China Sea is investigated. The three-dimensional resolution is used to quantify the true uncertainty in radiocarbon age estimates from planktonic foraminifera with an extensive sampling scheme, including different sample volumes and replicated measurements of batches of small and large numbers of specimen. An assessment on the variability stemming from sediment mixing by benthic organisms reveals strong internal heterogeneity. Hence, sediment mixing leads to substantial time uncertainty of proxy-based reconstructions with error terms two to five times larger than previously assumed. A second three-dimensional analysis of the upper snowpack provides insights into the heterogeneous signal deposition and imprint in snow and firn. A new study design which combines a structure-from-motion photogrammetry approach with two-dimensional isotopic data is performed at a study site in the accumulation zone of the Greenland Ice Sheet. The photogrammetry method reveals an intermittent character of snowfall, a layer-wise snow deposition with substantial contributions by wind-driven erosion and redistribution to the final spatially variable accumulation and illustrated the evolution of stratigraphic noise at the surface. The isotopic data show the preservation of stratigraphic noise within the upper firn column, leading to a spatially variable climate signal imprint and heterogeneous layer thicknesses. Additional post-depositional modifications due to snow-air exchange are also investigated, but without a conclusive quantification of the contribution to the final isotopic signature. Finally, this characterisation and quantification of the complex signal formation in marine sediments and polar ice contributes to a better understanding of the signal content in proxy data which is needed to assess the natural climate variability during the Holocene. N2 - Während der letzten ~3 Millionen Jahre war das Klimasystem der Erde durch Zyklen von Glazialen und Interglazialen gekennzeichnet. Die aktuelle Warmperiode, das Holozän, ist vergleichsweise stabil und hebt sich von dieser langen Zyklizität ab. Seit der industriellen Revolution wird das Klima jedoch zunehmend durch einen vom Menschen verursachten Anstieg der Treibhausgaskonzentrationen beeinflusst. Während instrumentelle Beobachtungen die Veränderungen der letzten ~200 Jahre beschreiben können, liefern Proxydaten die meisten klimatischen Informationen für den Zeitraum vor diesen Beobachtungen. Proxies zeichnen vergangene Klimabedingungen auf und sind in Paläoklimaarchiven rund um die Erde gespeichert. Das Proxysignal wird durch eine Vielzahl an Prozessen beeinflusst, die unabhängig von den vorherrschenden klimatischen Bedingungen sind. Insbesondere bei sedimentären Archiven wie Meeressedimenten und Eisschilden kann es während oder nach der Ablagerung zu einer Umverteilung des Materials und einer Änderung des Signals kommen. Dies führt zu nicht-klimatischen Unsicherheiten in den Daten, was zuverlässige Rekonstruktionen auf lokalen oder kurzen zeitlichen Skalen erschwert. Diese Dissertation charakterisiert die Ablagerung des Klimasignals und quantifiziert die daraus resultierende archiv-interne Heterogenität und ihren Einfluss auf das beobachtete Proxysignal, um die Repräsentativität und Interpretation von Klimarekonstruktionen aus marinen Sedimenten und Eiskernen zu verbessern. Zu diesem Zweck wird die horizontale und vertikale Variabilität des Radiokarbongehalts in einem Sedimentkern aus dem Südchinesischen Meer untersucht. Die dreidimensionale Auflösung des Kastenbohrers wird genutzt, um die tatsächliche Unsicherheit in Alterabschätzung von planktonische Foraminiferen mittels der Radiokarbonmethode zu quantifizieren. Mit Hilfe von verschiedene Probenvolumina und wiederholten Messungen von kleinen und großen Anzahlen an Lebewesen wird eine Quantifizierung der Variabilität, die auf die Durchmischung des Sediments durch benthische Organismen zurückzuführen ist, durchgeführt. Die Durchmischung der Sedimente verursacht eine starke interne Heterogenität, was zu Fehlertermen, die zwei bis fünf Mal größer sind als bisher angenommen, und einer erheblichen zeitlichen Unsicherheit von Rekonstruktionen basierend auf Proxydaten führt. Eine zweite dreidimensionale Analyse liefert Einblicke in die heterogene Signalablagerung in Schnee und Firn. Hierzu wird ein neues Studiendesign in der Akkumulationszone des grönländischen Eisschilds angewandt, wobei ein Structure-from-Motion Photogrammetrie Ansatz mit zweidimensionalen Isotopendaten kombiniert wird. Die photogrammetrische Methode zeigt, dass die Akkumulation von Schnee sehr variable ist. Die Entwicklung der Schneeablagerung an der Oberfläche erfolgt primär schichtweise mit erheblichen Veränderungen durch eine windgestriebene Erosion und Umverteilung des Schnees. Diese Dynamik führt zu einer räumlich variablen Akkumulation und sratigraphischem Rauschens an der Oberfläche. Die heterogene Akkumulation bestimmt die räumliche Ablagerung der klimatischen Informationen, die in der Isotopenzusammensetzung des Schness enthalten ist. Stratigraphische Rauschen der Oberfläche bleibt in der oberen Firnsäule erhalten, was zu einem räumlich variablen Signaleindruck führt. Weiterhin werden zusätzliche Veränderungen nach der Ablagerung durch Austauschprozesse zwischen dem Schnee und der Atmosphäre untersucht, jedoch ohne eine schlüssige Quantifizierung dieses Beitrags zur endgültigen Isotopensignatur. Die Charakterisierung und Quantifizierung der komplexen und heterogenen Signalbildung in marinen Sedimenten und Gletschereis verbessert letztlich das Verständnis des Signalgehalts in Proxydaten und trägt dazu bei, die natürliche Klimavariabilität des Holozäns besser abzuschätzen. KW - polar ice KW - marine sediments KW - palaeoclimatology KW - signal formation KW - climatolgoy KW - Klimatologie KW - Meeressedimente KW - Paläoklimatologie KW - polares Eis KW - Signalbildung Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-582864 ER -