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The thesis aims to explore what influences the Danish consumers when choosing food distribution channels in 2020 and further to test if current theories of consumers’ channel choice can be applied in the year of 2020. The thesis takes on a qualitative approach with mathematical principles and employs the Delphi Method as the primary method to collect data. To conduct the empirical analysis a desk

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Boreal rivers and streams are significant sources of carbon dioxide (CO2) and methane (CH4) for the atmosphere. Yet the controls and the magnitude of these emissions remain highly uncertain, as current estimates are mostly based on indirect and discrete flux measurements. In this study, we present and analyse the longest CO2 and the first ever CH4 flux dataset measured by the eddy covariance (EC)

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Aim: This study investigated how human activities and local environmental variables shape tree assemblages (species composition in a defined location), comparing their effects on edible and inedible tree species. Three hypotheses were tested: (1) Environmental filtering impacts spatial beta-diversity more than dispersal limitation; (2) human activities significantly influence regional tree beta-di

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The water level-area-storage volume (Z-A-V) relationship serves as the cornerstone of reservoir operations, governing water allocation, flood mitigation, and power generation. Sedimentation-induced capacity alterations can progressively degrade Z-A-V accuracy, yet systematic curve updates remain inadequately implemented across developing nations. Traditional reconstruction approaches face inherent

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In order to accurately assess the quality of low-resolution biogeophysical parameter products, accurate scale transformations are essential. However, different scaling models often lead to inconsistent transformation results. More worryingly, many biogeophysical parameters are not scale-invariant, such as the Normalized Difference Vegetation Index (NDVI), which makes the quality assessment of low-

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Forest disturbances can cause shifts in boreal vegetation cover from predominantly evergreen to deciduous trees or non-forest dominance. This, in turn, impacts land surface properties and, potentially, regional climate. Accurately considering such shifts in future projections of vegetation dynamics under climate change is crucial but hindered (e.g., uncertainties in future disturbance regimes). In

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Forest loss, fragmentation, and transformation negatively impact forest biodiversity and ecosystem functionality worldwide. Improving landscape intactness and connectivity through restoration is critical. Determining where to restore remains, however, a challenge. As an approach for prioritizing restoration areas, we define connectivity forest (CFs) as forests outside recognized high conservation

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Accurate evapotranspiration (ET) estimation is vital for hydrological modeling, yet remotely sensed ET (RS-ET) products are often limited by algorithmic uncertainties and sensor biases. To mitigate error propagation and better capture spatial patterns, this study introduces the Composite Efficiency of Absolute ET and Spatial Autocorrelation (CEASA) —a dual-constraint framework that integrates abso

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Understanding vegetation sensitivity to hydroclimate factors, especially how carbon and water cycles respond to climate change, is crucial for assessing ecosystem vulnerability. However, the seasonal sensitivity of carbon and water fluxes to temperature, radiation, soil water content, and vapor pressure deficit across diverse biomes and climates remains unclear. Here, we use 196 eddy covariance ob

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Vegetation demographic models (VDMs) are advanced tools for simulating forest responses to climate and land-use changes, and are essential for projecting carbon cycling and large-scale forest management strategies. Despite their increasing incorporation into Earth System Models, VDMs differ in their demographic assumptions, with no prior quantitative comparison of their performance. We benchmarked

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Disturbances play a key role in forest dynamics globally, with various effects on productivity. Tree diversity is expected to attenuate the negative impact of disturbance on forest productivity, but its overall effect has been little explored and might depend on the functional composition. Here, we analysed whether forest productivity responses to disturbances were modulated by structural and func

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Given the severe land-use and land-cover change pressure on tropical forests and the high demand for field observations of ecosystem characteristics, it is crucial to collect such data both in pristine tropical forests and in the converted deforested land-cover classes. To gain insight into the ecosystem characteristics of pristine tropical forests (EFs), regrowth forests (RFs), and cashew plantat

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Medical care in Nepal is largely financed by the individual, and although insurance programs and subsidies exist, they are limited in coverage, amount of assistance provided, and level of enrollment. Medical needs that extend beyond basic health services, specifically following acute injury can lead to financial difficulties that may jeopardize the ability to maintain basic needs and can push peop

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This thesis explores the implementation of the ‘women’s labour market policy programme’ (Arbeitsmarktpolitisches Frauenprogramm) at the public employment service (AMS) Vienna through advisors. As so-called ‘street-level bureaucrats’ AMS advisors have the unique ability to implement policies at the street-level through their work with citizen-clients. The labour market situation in Austria has been

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This study is an assessment of the functioning of the three year old Transparency Mechanism. The mechanism has a surveiling role in the WTO of the Regional Trade Agreements (RTA). Formation of RTAs has been increasing rapidly during the latest twenty years, causing a tension in the multilateral trading system. RTAs give more preferable treatment to parties within the agreement than to trading part

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DISA is an international company in the foundry industry that has a goal of being able to monitor their 250 different casting machines worldwide. A massive amount of information can be retrieved from the machines and by evaluating this information you can get an indication of how well the machines operates. The information is stored as meassured values at the customer site but is not used any furt

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Recombinant lentiviral vectors (rLV) are powerful tools for gene transfer to the central nervous system (CNS) and hold great potential as a therapeutic gene therapy strategy for neurological disorders. Recent data indicate that rLVs are suitable for functional studies in the CNS by over expression or knock down of specific proteins. Based on a variety of lentiviruses species, different vector syst

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European forests are being shaped by active human use and management, and by harvesting of wood in particular. Yet, our understanding of how forests are harvested across Europe is limited, as the real harvest regimes are not well described by currently available data. Here, we analyse recent harvests, as observed in permanent plots of forest inventories in 11 European countries, totaling to 182,64