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Sonstige beteiligte Institutionen
- Johns Hopkins School of Medicine (15)
- Johns Hopkins University School of Medicine (5)
- Department of Biomedical Imaging, National Cerebral and Cardiovascular Research Center, Suita, Japan (2)
- Division of Medical Technology and Science, Department of Medical Physics and Engineering, Course of Health Science, Osaka University Graduate School of Medicine, Suita Japan (2)
- Institut for Molecular Biology and CMBI, Department of Genomics, Stem Cell Biology and Regenerative Medicine, Leopold-Franzens-University Innsbruck, Innsbruck, Austria (2)
- International Max Planck Research School Molecular Biology, University of Göttingen, Germany (2)
- Johns Hopkins School of Medicine, The Russell H Morgan Department of Radiology and Radiological Science, Baltimore, MD, USA (2)
- Universitätsklinikum Würzburg (2)
- ACC GmbH Analytical Clinical Concepts (1)
- Abteilung für Molekulare Onkoimmunologie (1)
ResearcherID
- J-8841-2015 (1)
Zusammenfassung
Ziel:
Pathomorphologische Veränderungen der Kiefergelenke treten im Rahmen einer JIA häufig auf. In dieser Arbeit sollten anhand von einer kieferorthopädischen zweidimensionalen Röntgenbildgebung (Orthopantomographie - OPG) pathologische Veränderungen der Kiefergelenke bei JIA-Patienten differenziert und Asymmetrien des Unterkiefers in Abhängigkeit vom Grad der Kondylendestruktion bestimmt werden. Darüber hinaus sollte geprüft werden, wie sich die Krankheitsdauer auf den Befall der Kiefergelenke auswirkt.
Zusätzlich wurden zur differenziellen Analyse der Pathomorphologie die klinische Funktionsanalyse (FAL), die Joint Vibration Analysis (JVA) sowie die 3D-Stereophotogrammetrie (3d-Scan) eingesetzt. Ziel war mittels non-invasiver, kostengünstiger und schnell verfügbarer Untersuchungsmethoden eindeutige Parameter zum Befall der Kiefergelenke zu detektieren.
Patienten und Methodik:
In dieser Arbeit wurden 46 Patientin (28 weiblich; 18 männlich) kaukasischer Herkunft mit diagnostizierter JIA eingeschlossen. Die Kiefergelenke (n = 92) wurden einzeln nach dem Grad ihrer Kondylendestruktion (Grad 0 - 4 nach Billiau et. al. [78]) befundet und in eine leicht betroffene Gruppe 1 (Grad 0, 1 und 2 nach Billiau: röntgenologisch unauffällig, Kondylenerosionen, Kondylenabflachungen) und in eine schwer betroffene Gruppe 2 (Grad 3 und 4 nach Billiau: Kondylusabflachungen mit Erosionen, Komplettverlust des Kondylus) eingeteilt.
Zur Quantifizierung von Unterkieferasymmetrien wurde das Seitenverhältnis aus Kondylus-, Ramus- und Mandibulahöhe bestimmt. Der Vergleich der einzelnen klinischen, instrumentellen und bildgebenden Untersuchungsverfahren (OPG, FAL, JVA, 3d-Scan) erfolgte jeweils durch die Gegenüberstellung der schwer betroffenen und der leicht betroffenen Patientengruppe.
Ergebnisse:
Erkrankungsdauer:
Anhand des Grades der Kondylendestruktion wurden 36 Patienten in die leicht betroffene Gruppe 1 und 10 Patienten in die schwer betroffenen Gruppe 2 eingeteilt. Dabei war die Erkrankungsdauer in der schwer betroffenen Patientengruppe (8,9 ± 5,2 Jahre) signifikant länger, als in der leicht betroffenen Patientengruppe (4,6 ± 4,7; Jahre) (p = 0,031).
FAL:
Die Ergebnisse der FAL zeigten ausgeprägtere funktionelle Abweichungen in der schwer betroffenen Patientengruppe (Gruppe 2). Es wurde jedoch kein signifikanter Unterschied zur Gruppe 1 ermittelt. Die schwer betroffene Patientengruppe zeigten einen höheren Prozentsatz an von Schmerzen bei Palpation der Kiefergelenke (Gruppe 2: 70,0 % vs. Gruppe 1: 61,1 %) oder Schmerzen bei Mundöffnung (Gruppe 2: 10,0% vs. Gruppe 1: 8,3 %), Deflexionen des Unterkiefers (Gruppe 2: 50,0% vs. Gruppe 1: 33,3 %), Gelenkgeräuschen (Gruppe 2: 80,0 % vs. Gruppe 1: 63,9 %) und Mundöffnungseinschränkungen (Gruppe 2: 60,0 % vs. Gruppe 1: 25,0 %). Die durchschnittliche Mundöffnung betrug in Gruppe 2 40,6 mm, während sie in Gruppe 1 43,5 mm betrug. Bei Patienten mit einer Mundöffnung < 40 mm wurde in Gruppe 2 eine durchschnittliche Mundöffnung von 35,3 mm und in Gruppe 1 von 34,1 mm gemessen.
JVA:
Sowohl in der gelenkbezogenen, als auch in der patientengruppenbezogenen Analyse der JVA deuteten die Messparameter in der schwer betroffenen Patientengruppe vermehrt auf chronisch-degenerative oder bestehende Ergüsse im Kiefergelenk hin. In der gelenkbezogenen Auswertung zeigte sich dies insbesondere durch eine reduzierte Signalstärke in der schwer betroffenen Patientengruppe (Total power: p = 0,005; Power < 300 Hz: p = 0,006; Power > 300 Hz: 0,003;) sowie in einer signifikant erhöhten Peak Frequenz (p = 0,036).
OPG:
In der Auswertung der OPGs war die Ratio von Kondylus-, Ramus- und Mandibulahöhe in der schwer Patientengruppe (Ratio 79,6 %, 85,9 %, 86,5 %) signifikant kleiner (Kondylushöhe: p = 0,0005; Ramushöhe: p = 0,0030; Mandibulahöhe: p = 0,0002), als in der leicht betroffenen Patientengruppe (Ratio 93,8 %, Ratio 96,0 %, 95,6 %). Somit ergaben sich in der schwer betroffenen Patientengruppe signifikant stärker ausgeprägte Unterkieferasymmetrien, als in der leicht betroffenen Patientengruppe.
3d-Scan:
Im 3d-Scan kam es bei Patienten mit schwer betroffenen Kiefergelenken signifikant häufiger zu Abweichungen des Weichteilkinns von der Medianebene (Gruppe 2: 3,0 mm vs. Gruppe 1: 1,2 mm; p = 0,041) und zu Asymmetrien des Unterkiefers (Gruppe 2: 62,5 % vs. Gruppe 1: 14,8 %; p = 0,015) als bei Patienten mit leicht betroffenem Kiefergelenk.
Schlussfolgerung:
Es zeigte sich, dass mittels einfacher und schnell verfügbarer Untersuchungsmethoden wie der klinischen Funktionsanalyse, der Joint Vibration Analysis und der OPG-Aufnahme eine Pathologie im Kiefergelenk dargestellt werden kann. Die Methoden können als wichtige Referenz zur Kontrolle der Krankheitsprogression bei Patienten mit JIA dienen. Darüber hinaus ist eine Klassifikation der Kondylen in schwer und leicht betroffene Kiefergelenke mittels pathomorphologischer Analyse möglich. Dabei ist von einem direkten Zusammenhang zwischen Grad der Destruktion, Ausmaß der Unterkieferasymmetrie und Dauer der Erkrankung bei Patienten mit JIA auszugehen. Insgesamt konnte die Wertigkeit klinischer, instrumenteller und bildgebender Untersuchungsverfahren der Kiefergelenksdiagnostik bei Patienten mit juveniler idiopathischer Arthritis dargestellt werden.
In unserer Versuchsreihe verglichen wir das periimplantäre Bindegewebe um beschichtete Silikonimplantate mit dem Gewebe um unbeschichtete Implantate, nach jeweils 3, 6 und 12 Monaten Implantationszeit, im Rattenmodell. Als Beschichtung diente BioShieldS1, ein Proteinfilm aus dem rekombinanten Spinnenseideprotein eADF4(C16). Zur Untersuchung des Gewebes bedienten wir uns der Histologie, Immun-histologie und qRT-PCR.
Histologisch unterschieden sich die beiden Gruppen neben einer geringeren Zellkern-dichte und einer homogeneren, weniger komprimierten Kollagenstruktur in der SG gegenüber der KG, vor allem durch eine signifikant geringere Kapseldicke um die beschichteten Implantate. In dieser Gruppe konnten wir eine zeitlich verzögerte Makrophageninvasion und eine zu allen Messzeitpunkten reduzierte Aktivität des TGF-β-Signalweges beobachten. Zu Beginn war die Expression der Wachstumsfaktoren CTGF und FGF-2 hier ebenfalls vermindert. Vermutlich als Folge der geringeren Aktivierung des TGF-ß-Signalweges, wurden die Fibroblastenaktivität und –invasion weniger stark stimuliert, was sich in einer über den gesamten Zeitraum verminderten Anzahl und anfangs auch reduzierten Genexpression der Fibroblasten zeigte. Die Expression der Kollagene 1 und 3 war nach 3 (Kollagen 1 auch noch nach 12) Monaten ebenfalls signifikant erniedrigt. Folglich kam es im Gewebe um die Implantate der SG zu einer schwächer ausgeprägten Fibrosierung und zur Formierung einer dünneren Bindegewebekapsel. Daneben waren in der SG auch die Invasion CD4+- und CD8+- Lymphozyten und die Expression der proinflammatorischen Zytokine IL-6 und TNF-α gehemmt, was die Inflammation und Fibrosierung ebenfalls reduzierte und, zumindest teilweise, auf eine geringere Makrophageninvasion und Aktivierung des TGF-ß-Signalweges zurück-geführt werden kann.
Der Kapselkontraktur werden als Ursachen eine überschießende Entzündungsreaktion und eine daraus entstehende, ebenfalls verstärkte Fibrosierung zugrunde gelegt [6, 9, 11, 15]. Durch eine Beschichtung mit BioShieldS1 konnten beide Faktoren deutlich ge-hemmt werden, weswegen zu erwarten ist, dass das Risiko des Auftretens einer Kap-selkontraktur gesenkt wird. Eine Beschichtung mit dem Spinnenseidenproteinfilm stellt somit eine deutliche Verbesserung der Biokompatibilität von Silikonimplantaten dar.
Understanding human navigation behavior has implications for a wide range of application scenarios. For example, insights into geo-spatial navigation in urban areas can impact city planning or public transport. Similarly, knowledge about navigation on the web can help to improve web site structures or service experience.
In this work, we focus on a hypothesis-driven approach to address the task of understanding human navigation: We aim to formulate and compare ideas — for example stemming from existing theory, literature, intuition, or previous experiments — based on a given set of navigational observations. For example, we may compare whether tourists exploring a city walk “short distances” before taking their next photo vs. they tend to "travel long distances between points of interest", or whether users browsing Wikipedia "navigate semantically" vs. "click randomly".
For this, the Bayesian method HypTrails has recently been proposed. However, while HypTrails is a straightforward and flexible approach, several major challenges remain:
i) HypTrails does not account for heterogeneity (e.g., incorporating differently behaving user groups such as tourists and locals is not possible), ii) HypTrails does not support the user in conceiving novel hypotheses when confronted with a large set of possibly relevant background information or influence factors, e.g., points of interest, popularity of locations, time of the day, or user properties, and finally iii) formulating hypotheses can be technically challenging depending on the application scenario (e.g., due to continuous observations or temporal constraints). In this thesis, we address these limitations by introducing various novel methods and tools and explore a wide range of case studies.
In particular, our main contributions are the methods MixedTrails and SubTrails which specifically address the first two limitations: MixedTrails is an approach for hypothesis comparison that extends the previously proposed HypTrails method to allow formulating and comparing heterogeneous hypotheses (e.g., incorporating differently behaving user groups). SubTrails is a method that supports hypothesis conception by automatically discovering interpretable subgroups with exceptional navigation behavior. In addition, our methodological contributions also include several tools consisting of a distributed implementation of HypTrails, a web application for visualizing geo-spatial human navigation in the context of background information, as well as a system for collecting, analyzing, and visualizing mobile participatory sensing data.
Furthermore, we conduct case studies in many application domains, which encompass — among others — geo-spatial navigation based on photos from the photo-sharing platform Flickr, browsing behavior on the social tagging system BibSonomy, and task choosing behavior on a commercial crowdsourcing platform. In the process, we develop approaches to cope with application specific subtleties (like continuous observations and temporal constraints). The corresponding studies illustrate the variety of domains and facets in which navigation behavior can be studied and, thus, showcase the expressiveness, applicability, and flexibility of our methods. Using these methods, we present new aspects of navigational phenomena which ultimately help to better understand the multi-faceted characteristics of human navigation behavior.
African trypanosomes are the causative agents of fatal diseases in humans and livestock. Trypanosomes show a complex lifecycle and shuttle between the transmitting vector, the tsetse (Glossina spec.), and the mammalian host. As a result of this the parasite undergoes tremendous changes in morphology and metabolism to adapt to the different living environments.
The two best-studied lifecycle stages are the procyclic forms (PCF) that live in the tsetse fly and the proliferative bloodstream form (BSF) that resides in the mammalian blood. The most conspicuous weapon that trypanosomes use to evade the host immune attack is a dense layer of a single protein type, the variant surface glycoprotein (VSG), which shields the entire cell surface. Immune evasion required high rates of surface membrane turnover and surface coat recycling.
Trypanosomes show highly polarised cell architecture with all major eukaryotic organelles (endoplasmic reticulum, Golgi apparatus, endosomal apparatus, lysosome, mitochondrion and peroxisome-like glycosomes) generally present in single copy. Furthermore, trypanosomes possess a single flagellum, which is important not only for cellular motility but also for cell division.
How the duplication of all these cellular components is coordinated in order to progresss through the cell division cycle is poorly understood.
We used trypanosomes as a model organism due to the relative simplicity and the polarised nature of their cell architecture and determined the duplication of all their compartments. This was only possible due to a new synchronisation approach developed during this project.
In the first part of the thesis a precise temporal map of the cell division cycle of the BSF T. brucei cell division cycle was generated. By the use of well-described morphological markers (K/N status, new flagellum outgrowth and DNA synthesis) the position of individual cells was determined with high temporal resolution; this allowed us for the first time to synchronise a cell population in silico without affecting the naturally asynchronous growth.
In the second part of the thesis we used this tool to follow duplication events of the Major organelles during progression through the cell division cycle. We precisely determined the time points of organelle duplication and found that it is ordered in trypanosomes. Furthermore we found that BSF T. brucei cells do not grow continuously, cell size start to increase rapidly, during a short period of time, late in the cell division cycle. We speculate that the initiation of cell volume increase is temporally separated from the formation of all secretory organelles in order to ensure maintenance of the protective coat, which must remain intact at all times in order for BSF trypanosomes to be able to evade the host immune response.
Reliable standards and criteria for somatostatin receptor (SSTR) positron emission tomography (PET) are still lacking. We herein propose a structured reporting system on a 5-point scale for SSTR-PET imaging, titled SSTR-RADS version 1.0, which might serve as a standardized assessment for both diagnosis and treatment planning in neuroendocrine tumors (NET). SSTR-RADS could guide the imaging specialist in interpreting SSTR-PET scans, facilitate communication with the referring clinician so that appropriate work-up for equivocal findings is pursued, and serve as a reliable tool for patient selection for planned Peptide Receptor Radionuclide Therapy.
Characterization of motility and erythrocyte adherence as virulence factors in African trypanosomes
(2018)
Pathogens causing African animal trypanosomiasis (AAT), the major livestock disease in sub-Saharan Africa, belong to the salivarian group of the African trypanosomes, which are transmitted by the bite of the tsetse fly (Glossina spec.). T. vivax, T. congolense and T. brucei brucei are major pathogens of cattle in particular, causing nagana, with dramatic socio-economic consequences for the affected regions. The parasites additionally have a huge reservoir of other livestock and wild animal hosts. T. brucei, the species which also includes the subspecies pathogenic to humans causing sleeping sickness, has been extensively studied as the cultivatable model trypanosome. But less is known about the other salivarian species, which are not routinely held in culture, if at all possible. A hallmark of trypanosomal lifestyle is the protozoan flagellates incessant motility, which enables them to populate an enormous range of habitats in very diverse hosts. We were now able to characterize, for the first time with high spatiotemporal resolution microscopy, the swimming behaviour and mechanism of the most relevant salivarian species isolated directly from blood. We show the influence of viscosity on the motility of bloodstream form (BSF) cells and simulate their movement between erythrocytes, giving a clear picture of how all analyzed species move under varying environmental conditions. We show that although the basic mechanism of flagellar motility applies to all analyzed species, there are clear morphological differences that produce different reactions to the physical environment. We could define specific conditions for highly increased swimming persistence and speed for compared to the behaviour in standard culture. These results have important implications for the parasites survival strategies in the host, e.g. regarding the capacity for antibody clearance. Although we show all species to effectively remove antibodies from the cell surface, T. congolense differed markedly in its motility behaviour, which gives rise to interesting questions about this species behaviour in the bloodstream. Most of the T. congolense parasites (and to a lesser extent T. vivax) adhere to sheep erythrocytes. Further in vitro studies showed that T. congolense and T. vivax adhered to rabbit, goat, pig and cattle erythrocytes- but binding behaviour was absent in murine blood. Notably, both T. brucei and T. evansi lacked adherence to all studied host erythrocytes. Generally, attachment to blood cells caused reduction of swimming velocities. Judging from its cell architecture, as well as the motility studies in higher media viscosity and in micropillar arrays, T. congolense is not adapted to swim at high speeds in the mammalian bloodstream. Low swimming speeds could allow these purely intravascular parasites to remain bound to the host erythrocytes.
Background: \(^{123}\)I-metaiodobenzylguanidine (mIBG) provides independent prognostic value for risk stratification among heart failure patients, but the use of concomitant medication should not impact its quantitative information. We aimed to evaluate the four most-prescribed antidepressants currently used as a first‑line treatment for patients with major depressive disorder (MDD) and their potential on altering mIBG imaging results.
Methods: The inhibition effect of four different types of antidepressants (desipramine, escitalopram, venlafaxine and bupropion) for MDD treatment on \(^{131}\)I-mIBG uptake was assessed by in-vitro cell uptake assays using human neuroblastoma SK-N-SH cells. The half maximal inhibitory concentration (IC50) of tracer uptake was determined from dose-response curves. To evaluate the effects of IV pretreatment with desipramine (1.5 mg/kg) and escitalopram (2.5, 15 mg/kg) on mIBG cardiac uptake, in-vivo planar 123I-mIBG scans in healthy New Zealand White Rabbits were conducted. Results: The IC50 values of desipramine, escitalopram, venlafaxine and bupropion on \(^{131}\)I-mIBG cellular uptake were 11.9 nM, 7.5 μM, 4.92 μM, and 12.9 μM, respectively. At the maximum serum concentration (Cmax, as derived by previous clinical trials), the inhibition rates of 131I-mIBG uptake were 90.6 % for desipramine, 25.5 % for venlafaxine, 11.7 % for bupropion and 0.72 % for escitalopram. A low inhibition rate for escitalopram in the cell uptake study triggered investigation of an in-vivo rabbit model: with dosage considerably higher than clinical practice, the non-inhibitory effect of escitalopram was confirmed. Furthermore, pretreatment with desipramine led to a marked reduction of cardiac 123I-mIBG uptake.
Conclusions: In the present in-vitro binding assay and in-vivo rabbit study, the selective-serotonin reuptake inhibitor escitalopram had no major impact on neuronal cardiac mIBG uptake within therapeutic dose ranges, while other types of first-line antidepressants for MDD treatment led to a significant decrease. These preliminary results warrant further confirmatory clinical trials regarding the reliability of cardiac mIBG imaging, in particular, if the patient’s neuropsychiatric status would not tolerate withdrawal of a potentially norepinephrine interfering antidepressant.
Simkania negevensis (Sn) repliziert als Chlamydia-ähnliches obligat intrazelluläres Bakterium auch in einer membranumschlossenen Vakuole, die als SCV (engl. Simkania-containing vacuole) bezeichnet wird. Die SCV ist ein bis jetzt einzigartiges Kompartiment, das stark mit ER-Membranen assoziiert ist, wobei ER-Stress von den Bakterien blockiert wird. Die Morphologie der SCV scheint dabei in Epithelzellen (HeLa229, A549, HEp-2) als auch in Makrophagen (THP1) gleich zu sein. Die SCV stellt die erste intrazelluläre Berührungsfläche dar, an der Interaktionen zwischen Wirt und Pathogen erfolgen, und dient gleichzeitig als Replikationsnische. Mithilfe der Identifizierung von humanen und bakteriellen Faktoren, die mit der ER-SCV-Membran assoziiert sind, sollten die Zusammensetzung der SCV sowie mögliche Interaktionen mit dem ER oder zellulären Transportwegen ermittelt werden. Vergleichsstudien von SCV-assoziierten Proteinen sollten Ähnlichkeiten zur chlamydialen Inklusion aufzeigen, für die bereits einige interagierende Wirtszellfaktoren beschrieben wurden. In dieser Arbeit wurde ein Aufreinigungsprotokoll etabliert, das sowohl für ER-SCVMembranen aus HeLa229 als auch THP1 geeignet war und für spätere Proteom- oder Lipidomanalysen diente. Über markierungsfreie massenspektrometrische Messungen konnten 302 bakterielle und 1178 humane Proteine in ER-(SCV-) Membranen und 885 bakterielle Proteine in aufgereinigten Sn identifiziert werden. In ER-(SCV-) Membranen von nicht und Sn-infizierten HeLa229 Zellen befanden sich 51 unterschiedlich verteilte und 57 transportassoziierte humane Proteine, die auf infektionsinduzierte Unterschiede beim intrazellulären Proteintransport hindeuteten. Eine entgegengesetzte Regulation von retro- und anterograd transportierten Proteinen konnte mithilfe von RNA-Interferenz und dem Einsatz geeigneter Inhibitoren bestätigt werden, wobei sich zeigte, dass Clathrin-assoziierte und COPI-Vesikel eine zentrale Rolle spielen. Retro-Inhibitoren, die den retrograden Transport zwischen Endosomen zum Golgi oder zwischen frühen und späten Endosomen inhibieren, sowie Bafilomycin A1 (retrograd, späte Endosomen und Lysosomen) und Brefeldin A (anterograd, ER und Golgi), beeinflussten massiv die SCV-Ausbildung, SCV-Morphologie und den intrazellulären Lipidtransport. Über markierungsfreie massenspektrometrische und dünnschichtchromatographische Analysen konnten erste Unterschiede im Lipidvorkommen in Sn-infizierten Zellen, an ER-SCVMembranen und in aufgereinigten Sn im Vergleich zu nicht infizierten Zellen ermittelt werden. Dabei konnten neben An- und Abreicherungen in Gesamtzellextrakten sowie ER-SCVMembranen zwei infektionsspezifische Lipide, Cholesterol-ß-D-Glykosid und PE 30:0, identifiziert werden. Weiterführende umfangreiche RNA-Interferenzstudien weisen darauf hin, dass die Sn-Infektion vom Endosomen-zum-Golgi-Transport und vom Clathrin-assoziierten Vesikeltransport abhängig ist. Zusammenfassend konnten erste mögliche SCV-assoziierte Proteine und Lipide identifiziert werden, die mit der bakteriellen Infektion verbunden waren. Des Weiteren hängen eine stabile SCV-Ausbildung und Sn-Infektivität von verschiedenen retrograden Transportwegen und damit von dem Erwerb von Nährstoffen wie bspw. Lipiden ab.
As a cradle of ancient Chinese civilization, the Yellow River Basin has a very long human-environment interrelationship, where early anthropogenic activities re- sulted in large scale landscape modifications. Today, the impact of this relationship
has intensified further as the basin plays a vital role for China’s continued economic
development. It is one of the most densely-populated, fastest growing, and most dynamic
regions of China with abundant natural and environmental resources providing a livelihood for almost 190 million people. Triggered by fundamental economic reforms, the
basin has witnessed a spectacular economic boom during the last decades and can be
considered as an exemplary blueprint region for contemporary dynamic Global Change
processes occurring throughout the country, which is currently transitioning from an
agrarian-dominated economy into a modern urbanized society. However, this resourcesdemanding growth has led to profound land use changes with adverse effects on the Yellow
River social-ecological systems, where complex challenges arise threatening a long-term
sustainable development.
Consistent and continuous remote sensing-based monitoring of recent and past land
cover and land use change is a fundamental requirement to mitigate the adverse impacts
of Global Change processes. Nowadays, technical advancement and the multitude of
available satellite sensors, in combination with the opening of data archives, allow the
creation of new research perspectives in regional land cover applications over heterogeneous landscapes at large spatial scales. Despite the urgent need to better understand the
prevailing dynamics and underlying factors influencing the current processes, detailed
regional specific land cover data and change information are surprisingly absent for this
region.
In view of the noted research gaps and contemporary developments, three major objectives are defined in this thesis. First (i), the current and most pressing social-ecological
challenges are elaborated and policy and management instruments towards more sustainability are discussed. Second (ii), this thesis provides new and improved insights on
the current land cover state and dynamics of the entire Yellow River Basin. Finally (iii),
the most dominant processes related to mining, agriculture, forest, and urban dynamics
are determined on finer spatial and temporal scales.
The complex and manifold problems and challenges that result from long-term abuse
of the water and land resources in the basin have been underpinned by policy choices,
cultural attitude, and institutions that have evolved over centuries in China. The tremendous economic growth that has been mainly achieved by extracting water and exploiting
land resources in a rigorous, but unsustainable manner, might not only offset the economic benefits, but could also foster social unrest. Since the early emergence of the first Chinese dynasties, flooding was considered historically as a primary issue in river management and major achievements have been made to tame the wild nature of the Yellow
River. Whereas flooding is therefore largely now under control, new environmental and
social problems have evolved, including soil and water pollution, ecological degradation,
biodiversity decline, and food security, all being further aggravated by anthropogenic
climate change. To resolve the contemporary and complex challenges, many individual
environmental laws and regulations have been enacted by various Chinese ministries.
However, these policies often pursue different, often contradictory goals, are too general
to tackle specific problems and are usually implemented by a strong top-down approach.
Recently, more flexible economic and market-based incentives (pricing, tradable permits,
investments) have been successfully adopted, which are specifically tailored to the respective needs, shifting now away from the pure command and regulating instruments.
One way towards a more holistic and integrated river basin management could be the
establishment of a common platform (e.g. a Geographical Information System) for data
handling and sharing, possibly operated by the Yellow River Basin Conservancy Commission (YRCC), where available spatial data, statistical information and in-situ measures
are coalesced, on which sustainable decision-making could be based. So far, the collected
data is hardly accessible, fragmented, inconsistent, or outdated.
The first step to address the absence and lack of consistent and spatially up-to-date
information for the entire basin capturing the heterogeneous landscape conditions was
taken up in this thesis. Land cover characteristics and dynamics were derived from
the last decade for the years 2003 and 2013, based on optical medium-resolution hightemporal MODIS Normalized Differenced Vegetation Index (NDVI) time series at 250 m.
To minimize the inherent influence of atmospheric and geometric interferences found in
raw high temporal data, the applied adaptive Savitzky-Golay filter successfully smoothed
the time series and substantially reduced noise. Based on the smoothed time series
data, a large variety of intra-annual phenology metrics as well as spectral and multispectral annual statistics were derived, which served as input variables for random
forest (RF) classifiers. High quality reference data sets were derived from very high
resolution imagery for each year independently of which 70 % trained the RF models. The
accuracy assessments for all regionally specific defined thematic classes were based on the
remaining 30 % reference data split and yielded overall accuracies of 87 % and 84 % for
2003 and 2013, respectively. The first regional adapted Yellow River Land Cover Products
(YRB LC) depict the detail spatial extent and distribution of the current land cover status
and dynamics. The novel products overall differentiate overall 18 land cover and use
classes, including classes of natural vegetation (terrestrial and aquatic), cultivated classes,
mosaic classes, non-vegetated, and artificial classes, which are not presented in previous
land cover studies so far.
Building on this, an extended multi-faceted land cover analysis on the most prominent
land cover change types at finer spatial and temporal scales provides a better and more
detailed picture of the Yellow River Basin dynamics. Precise spatio-temporal products
about mining, agriculture, forest, and urban areas were examined from long-trem Landsat
satellite time series monitored at annual scales to capture the rapid rate of change in four
selected focus regions. All archived Landsat images between 2000 and 2015 were used to
derive spatially continuous spectral-temporal, multi-spectral, and textural metrics. For
each thematic region and year RF models were built, trained and tested based on a stablepixels reference data set. The automated adaptive signature (AASG) algorithm identifies those pixels that did not change between the investigated time periods to generate a
mono-temporal reference stable-pixels data set to keep manual sampling requirements
to a minimum level. Derived results gained high accuracies ranging from 88 % to 98 %.
Throughout the basin, afforestation on the Central Loess Plateau and urban sprawl are
identified as most prominent drivers of land cover change, whereas agricultural land
remained stable, only showing local small-scale dynamics. Mining operations started in
2004 on the Qinghai-Tibet Plateau, which resulted in a substantial loss of pristine alpine
meadows and wetlands.
In this thesis, a novel and unique regional specific view of current and past land cover
characteristics in a complex and heterogeneous landscape was presented by using a
multi-source remote sensing approach. The delineated products hold great potential for
various model and management applications. They could serve as valuable components
for effective and sustainable land and water management to adapt and mitigate the
predicted consequences of Global Change processes.