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In Southeast Asia and Indonesia, land use change (LUC) occurs in the form of large-scale deforestation and peatland degradation for agricultural purposes, which causes terrestrial CO2 emissions from peat soils as a consequence of oxidation, subsidence and forest fires. However, the consequences of this peatland degradation for the aquatic and marine environment and carbon cycle are less well known. In the framework of the SPICE III a CISKA subproject 1, the impact of land use change in Indonesia was determined by the quantification of the inorganic and organic carbon fluxes and CO2 emissions from the rivers, estuaries and coastal ocean into the atmosphere as well as the marine carbonate system in order to develop sustainable mitigation strategies to reduce CO2 emissions. The findings of this PhD study bring attention to the fact that the impacts of tropical peatland degradation in Indonesia are not limited to direct CO2 emissions due to drainage and deforestation, but also greatly affect the carbon cycle of adjacent freshwater and marine environments through a variety of processes. By means of a mixing model it was shown that dissolved organic carbon leaching from disturbed peat soils has increased by 200% from 62 to 183 g m-2 yr-1 as a consequence of hydrological changes and secondary vegetation. Increased freshwater fluxes due to reduced evapotranspiration account for 38% of the increase in carbon leaching, whereas the labile leaf litter from secondary vegetation is responsible for the remaining 62% increase. Once the organic carbon has reached the rivers, it is either respired and emitted to the atmosphere (river outgassing) or exported to the coastal ocean (riverine carbon export). Dissolved organic carbon (DOC) and pCO2 concentrations in the rivers increase as the share of disturbed peatland coverage in the catchment increases as a consequence of increased carbon leaching and decomposition. Based on the regression between peat coverage and CO2 yield, the CO2 fluxes from rivers in Indonesia have been estimated as well as in Malaysia and extrapolated to Southeast Asia, and amount to 53.9 A /-12.4, 6.2A /-1.6 and 66.9A /-15.7 Tg C yr-1, respectively. However, these fluxes are rather moderate due to the short residence time of the river waters and the location of peat close to the coast, which shorten the time available for decomposition. Circa 53% of the carbon that enters the freshwater system in Southeast Asia is emitted as CO2 to the atmosphere, whereas the remaining 47% is exported to the coastal ocean. Based on total alkalinity (TA), dissolved inorganic carbon (DIC) and pCO2 measurements in the estuaries and coastal ocean of Sumatra, it was shown that the majority of the exported carbon is respired in the estuaries. Circa 62.7% of the exported, respired CO2 is emitted to the atmosphere, whereas 6.4% is assumed to be buried in the sediments and the remaining 30.6% is absorbed in the water column. Here, the respired CO2 contributes to ocean acidification and lowers the aragonite and calcite saturation states (I(c)AR / I(c)CA). This induces carbonate dissolution of sediments, but also coral reefs and other calcifying organisms and can therefore be viewed as the invisible carbon footprint, but is currently overlooked in climate mitigation strategy policies. In Indonesia, the terrestrial direct CO2 emissions due to LUC via secondary vegetation (10.9 Tg C yr-1), peat oxidation (109.9 Tg C yr-1) and forest fires (82.1 Tg C yr-1) amount to 192.0 Tg C yr-1. Carbon loss due to indirect emissions from the rivers (53.9 Tg yr-1, ref. (Wit et al. 2015)), estuaries and coastal ocean (49.4 Tg yr-1), as well as the invisible carbon footprint (24.1 Tg yr-1) and excluding the natural emissions from pristine peatlands (13.0 Tg C yr-1) amounts to 114.3 Tg C yr-1. Therefore, the total carbon loss due to LUC amounts to 306.3 Tg yr-1, which represents an increase of 60% with respect to the direct terrestrial emissions currently considered in greenhouse gas mitigation policies. With respect to the development of climate change mitigation strategies as one of the overarching goals of SPICE and CISKA, the advice is to include the aquatic and marine CO2 emissions, as well as the invisible carbon footprint in order to cover the carbon losses with respect to LUC in Indonesia. In addition, carbon leaching and fluvial carbon export should be reduced to mitigate the impact of ocean acidification and carbonate dissolution.

The project between tthe Deutsche Biomasseforschungszentrum (DBFZ) and the Karlsruhe Institute of Technology (KIT) focuses on the pr rovision of alternative fuels by thermochemical conversion. Biogenic residues and wastes which are not used yet or which could be utilised more efficiently are studied. The selection of possible feedstock was supported by a techhnical potential analysis including the competition to th he food industry. The technical suitability of raw materials for the fast pyrolysis (FP) process was of special in nterest. As a possible feedstock following types of biomass were studied: corn stover, corn cobs, biogenic floating re efuse (river Rhine and Baltic Sea), scrap wood, bark, rape s straw, sunflower straw, draff, diverse residues of flour production and hay. A process development unit (PDU) with a biomass feeding rate of 10 kg/h and a twin screw m mixer reactor was used for all experiments. It was found that different types of biomass form different char, condensate e and gas yields due to varying ash levels and lignocellulosic composition. Elemental formulas for feedstock, char, organic condensate and gas were estimated independent on t the feedstock due to similar elemental compositions. Pyrolysis gas analysis during the experiments gave information on the mass yields. A CO/CO2-ratio of 1 (i.e. wood) corresponds to organic condensate yields of about 50 wt.-%%, whereas a ratio of 0.3-0.7 (straw) corresponds to 18-32 wt. .-% respectively. Proceedings of the 20th European Biomass Conference and Exhibition, 18-22 June 2012, Milan, Italy, pp. 973-977

This deliverable contains the raw data that constitutes the database of microbial diversity and organic compounds in geothermal fluids used for electricity production generated during the project.

It is widely known that emissions of greenhouse gases from anthropogenic activities have been dramatically increasing at the unprecedented rate over the past several decades, and causing the global climate change. To assess the future trends of such global climate change, it is necessary to project future greenhouse gas emissions. In this paper, we explore the effects of further economic growth on CO2 emissions with the use of a multi-sector, multi-region global CGE model, and with explicit consideration to the endogeneity of emission regulations, i.e. the dependence of regulations on the level of income. The relationship between income level and emission regulations are derived from the consequence of the Kyoto Protocol type emission regulations. Our main finding is summarized as follows. Carbon taxes rise in all regions with economic growth because all regions, especially LDC regions, enjoy the rise in per capita income. However, the responsiveness of carbon taxes to income change is too weak to restrain the increase in emissions. In other words, given the degree of the responsiveness of regulations inferred from the acceptance of the Kyoto Protocol type regulations, carbon emissions are likely to increase all over the world along with further economic growth.

A key topic of the European CL‐Windcon project, and specifically WP1 of the project, is the accurate modelling of wind turbine and wind farm dynamics at a varying range of fidelities. Hence, this document describes the different numerical models employed throughout the project and presents their arrangement and fidelity classification based on the different capabilities, limitations and complexity of their underlying physics. The description of the four categories selected: steady‐state models, control‐oriented dynamical models, medium‐fidelity simulation models, and high‐fidelity simulation models is included and discussed in the document.

This paper uses data on emissions per capita of ten air pollutants and municipal waste to investigate the potential impact of the Transatlantic Trade and Investment Partnership (TTIP) on the empirical validity of the Environmental Kuznets Curve (EKC). Using a dataset of the twenty-eight EU members and of the U.S. over a twenty-five year period, the results in this paper provide robust and statistically significant evidence consistent with the EKC argument for CO2, CH4, and HFCs/PFCs/SF6, respectively. Further, the paper finds a monotonically increasing relationship between income per capita and emissions per capita in the cases of GHGs, SF6, and NO2, respectively. In addition, this paper finds that the EKC’s turning point values of each pollutant are sensitive to the econometric approach and/or to the employed control variables. Finally, the study reports statistically significant evidence suggesting a U-shaped relationship between emissions per capita of SO2 or SOx and income per capita.

Power generation from photovoltaic systems is highly variable due to its dependence on meteorological conditions. An efficient use of this fluctuating energy source requires reliable forecast information for management and operation strategies. Due to the strong increase of solar power generation the prediction of solar yields becomes more and more important. As a consequence, in the last years various research organisations and companies have developed different methods to forecast irradiance as a basis for respective power forecasts. For the end-users of these forecasts it is important that standardized methodology is used when presenting results on the accuracy of a prediction model in order to get a clear idea on the advantages of a specific approach. In this paper we introduce a benchmarking procedure to asses the accuracy of irradiance forecasts and compare different approaches of forecasting. The evaluation shows a strong dependence of the forecast accuracy on the climatic conditions. For Central European stations the relative rmse ranges from 40 % to 60 %, for Spanish stations relative rmse values are in the range of 20 % to 35 %. 24th European Photovoltaic Solar Energy Conference, 21-25 September 2009, Hamburg, Germany; 4199-4208

One of the most significant anticipated consequences of global climate change is the change in frequency of hydrological extremes. Predictions of climate change impacts on the regime of hydrological extremes have traditionally been conducted by a top-down approach that involves a high degree of uncertainty associated with the temporal and spatial characteristics of general circulation model (GCM) outputs and the choice of downscaling technique. This study uses the inverse approach to model hydrological risk and vulnerability to changing climate conditions in the Seyhan River basin, Turkey. With close collaboration with the end users, the approach first identifies critical hydrological exposures that may lead to local failures in the Seyhan River basin. The Hydro-BEAM hydrological model is used to inversely transform the main hydrological exposures, such as floods and droughts, into corresponding meteorological conditions. The frequency of critical meteorological conditions is investigated under present and future climate scenarios by means of a weather generator based on the improved K-nearest neighbour algorithm. The weather generator, linked with the output of GCMs in the last step of the proposed methodology, allows for the creation of an ensemble of scenarios and easy updating when improved GCM outputs become available. Two main conclusions were drawn from the application of the inverse approach to the Seyhan River basin. First, floods of 100-, 200- and 300-year return periods under present conditions will have 102-, 293- and 1370-year return periods under the future conditions; that is, critical flood events will occur much less frequently under the changing climate conditions. Second, the drought return period will change from 5.3 years under present conditions to 2.0 years under the future conditions; that is, critical drought events will occur much more frequently under the changing climate conditions. Copyright © 2008 IAHS Press. Acknowledgements This research was financially supported by the Project “Impact of Climate Change on Agricultural Production System in the Arid Areas” (ICCAP), administered by the Research Institute for Humanity and Nature (RIHN) and the Scientific and Technical Research Council of Turkey (TÜBøTAK). Additional support was provided by the JSPS Grant-in-Aid nos 16380164, 1811748 and 19208022. Research Institute for Humanity and Nature Japan Society for the Promotion of Science Research Institute for Humanity and Nature Research Institute for Humanity and Nature Japan Society for the Promotion of Science: 19208022, 16380164, 1811748 1 Research Institute for Humanity and Nature (Japan Society for the Promotion of Science Research Fellow), 457-4 Motoyama, Kamigamo, Kita-ku, Kyoto 603-8047, Japan fujihara@chikyu.ac.jp

Diese Dissertation untersucht die Wechselwirkungen zwischen Getreideproduktion und Klimawandel, um Erkenntnisse für eine gezielte Klimaanpassung und -minderung im Getreideanbau zu gewinnen. Ein zentrales Augenmerk liegt auf der Rolle der Genetik (G), Umwelt (E) und Management (M) in Deutschland. Vier Studien adressieren diese Themen: In Studie 1 wurde eine Lebenszyklusanalyse des Winterweizen- und Winterroggenanbaus mit Sortenversuchsdaten über 30 Jahre durchgeführt. Es konnte erstmals bewiesen werden, dass der Züchtungsfortschritt in Deutschland den CFP von Winterweizen und Winterroggen erheblich reduziert hat. In Studie 2 wurden räumlich dynamische Wetterindizes entwickelt, um die Auswirkungen von Hitze und Trockenheit auf Winterweizen mit Praxisertragsdaten zu untersuchen. Es wurden deutliche Unterschiede in der regionalen Ertragswirkung von Hitze und Trockenheitsstress identifiziert. In Studie 3 wurden standortspezifische Einflüsse auf Hitze und Trockenstresstoleranz von Winterweizen und Winterroggen mit Sortenversuchsdaten vertiefend geprüft. Es wurde bewiesen, dass die Bodengüte einen entscheidenden Einfluss auf die abiotische Stresstoleranz hat. Darüber hinaus konnte keine Verbesserung der abiotischen Stresstoleranz durch den Züchtungsfortschritt nachgewiesen werden. In Studie 4 wurde die Rückkopplung des Klimawandels auf die CFP von Winterweizen, Winterroggen und Wintergerste mit Sortenversuchsdaten analysiert. Die Ergebnisse weisen erstmals nach, dass Hitze und Trockenheit die CO2-Emissionen erhöhen. Außerdem wurde gezeigt, dass hohe Bodenqualität zu geringeren Emissionen pro Fläche und einem geringeren CFP führt. Basierend auf den Ergebnissen der vier Studien wurden wichtige Hebel zum Klimaschutz in der Landwirtschaft unter gleichzeitigen Klimaeinflüssen identifiziert. Hier wurden insbesondere Maßnahmen entlang G × E × M hervorgehoben, die hohe und stabile Erträge sowie maximale Input Effizienzen gewährleisten. This dissertation examines the interactions between cereal production and climate change to gain insights for targeted climate adaptation and mitigation in cereal cultivation. A central focus is on the role of genetics (G), environment (E), and management (M) in Germany. Four studies address these topics: In Study 1, a life cycle assessment of winter wheat and winter rye cultivation was conducted using variety trial data over 30 years. It was demonstrated for the first time that breeding progress in Germany has significantly reduced the carbon footprint (CFP) of winter wheat and winter rye. In Study 2, spatially dynamic weather indices were developed to investigate the effects of heat and drought on winter wheat using on-farm yield data. Significant regional differences in heat and drought stress yield effects were identified across Germany. In Study 3, site-specific influences on heat and drought stress tolerance of winter wheat and winter rye were examined in depth using variety trial data. It was proven that soil quality has a decisive impact on abiotic stress tolerance. Additionally, no improvement in abiotic stress tolerance due to breeding progress was found. In Study 4, the feedback of climate change on the CFP of winter wheat, winter rye, and winter barley was analyzed using variety trial data. The results indicate for the first time that heat and drought increase the CFP of cereal production. It was also shown that high soil quality sites exhibit lower GHG emissions per unit of land (GHGL) and lower CFPs. Based on the results of the four studies, important levers for climate protection in agriculture under simultaneous climate influences were identified. Particularly, measures along G × E × M were emphasized, which ensure high and stable yields as well as maximum input efficiencies.