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Abstract Longer term monitoring of soil water content at a catchment scale is a key to understanding its dynamics, which can assist stakeholders in decision making processes, such as land use change or irrigation programs. Soil water monitoring in agriculturally dominated catchments can help in developing soil water retention measurements, for assessment of land use change, or adaptation of specific land management systems to climate change. The present study was carried out in the Pannonian region (Upper-Balaton, Hungary) on Cambisols and Calcisols between 2015 and 2021. Soil water content (SWC) dynamics were investigated under different land use types (vineyard, grassland, and forest) at three depths (15, 40, and 70 cm). The meteorological data show a continuous decrease in cumulative precipitation over time during the study with an average of 26% decrease observed between 2016 and 2020, while average air temperatures were similar for all the studied years. Corresponding to the lower precipitation amounts, a clear decrease in the average SWC was observed at all the land use sites, with 13.4%, 37.7%, and 29.3% lower average SWC for the grassland, forest, and vineyard sites, respectively, from 2016 to 2020 (measured at the 15 cm depth of the soil). Significant differences in SWC were observed between the annual and seasonal numbers within a given land use (p < 0.05). The lowest average SWC was observed at the grassland (11.7%) and the highest at the vineyard (28.3%). The data showed an increasing average soil temperature, with an average 6.3% higher value in 2020 compared to 2016. The grassland showed the highest (11.3 °C) and the forest soil the lowest (9.7 °C) average soil temperatures during the monitoring period. The grassland had the highest number of days with the SWC below the wilting point, while the forest had the highest number of days with the SWC optimal for the plants.

This study investigates the relationship between violent conflict, food price, and climate variability at the subnational level. Using disaggregated data on 113 African markets from January 1997 to April 2010, interrelationships between the three variables are analyzed in simultaneous equation models. We find that: (i) a positive feedback exists between food price and violence - higher food prices increase conflict rates within markets and conflict increases food prices; (ii) anomalously dry conditions are associated with increased frequencies of conflict; and (iii) decreased rainfall exerts an indirect effect on conflict through its impact on food prices. These findings suggest that the negative effects of climate variability on conflict can be mitigated by interventions and effective price management in local markets. Creating environments in which food prices are stable and reliable, and markets are accessible and safe, can lower the impacts of both climate change and conflict feedbacks.

This study highlights how Chinese economic development detrimentally impacted water quality in recent decades and how this has been improved by enormous investment in environmental remediation funded by the Chinese government. To our knowledge, this study is the first to describe the variability of surface water quality in inland waters in China, the affecting drivers behind the changes, and how the government-financed conservation actions have impacted water quality. Water quality was found to be poorest in the North and the Northeast China Plain where there is greater coverage of developed land (cities + cropland), a higher gross domestic product (GDP), and higher population density. There are significant positive relationships between the concentration of the annual mean chemical oxygen demand (COD) and the percentage of developed land use (cities + cropland), GDP, and population density in the individual watersheds (p < 0.001). During the past decade, following Chinese government-financed investments in environmental restoration and reforestation, the water quality of Chinese inland waters has improved markedly, which is particularly evident from the significant and exponentially decreasing GDP-normalized COD and ammonium (NH4+-N) concentrations. It is evident that the increasing GDP in China over the past decade did not occur at the continued expense of its inland water ecosystems. This offers hope for the future, also for other industrializing countries, that with appropriate environmental investments a high GDP can be reached and maintained, while simultaneously preserving inland aquatic ecosystems, particularly through management of sewage discharge.

Vor dem Hintergrund eines zunehmenden globalen Energiebedarfs und der Gefahr einer anthropogenen Störung des Klimasystems durch die Emission von Treibhausgasen gilt es, tragfähige Strategien und Perspektiven für eine nachhaltige Energieversorgung zu entwickeln. Der verstärkten Nutzung erneuerbarer Energien wird dabei vielfach eine Schlüsselrolle zur Bewältigung dieser Herausforderungen zugesprochen. Einer weit verbreiteten Ausschöpfung der auch in Deutschland in großem Maße verfügbaren Potenzialen an regenerativen Energieträgern stehen jedoch häufig noch die damit verbundenen hohen Kosten im Vergleich zu fossilen Energieträgern entgegen. Ziel der vorliegenden Arbeit ist es daher zu untersuchen, welchen Beitrag erneuerbare Energieträger in einem wettbewerblichen Marktumfeld langfristig zur Energieversorgung leisten können und in welchem Umfang erneuerbare Energieträger durch die Internalisierung der Treibhausgasvermeidungskosten in den Energiepreisen profitieren können. Zur Bewertung der Rolle erneuerbarer Energieträger sind mit Blick auf das Gesamtenergiesystem Interdependenzen zwischen der Nutzung erneuerbarer Energieträger und den übrigen Sektoren des Energiesystems zu berücksichtigen. Neben der Vernetzung des Energiesystems in horizontaler Richtung durch Prozessketten über Sektoren hinweg und in vertikaler Richtung durch die Konkurrenz regenerativer mit fossilen Energietechnologien sind dabei auch Kopplungen über Energiepreise, deren Höhe über die Wettbewerbsfähigkeit einer regenerativen Energietechnologie entscheidet, sowie die energie- und preisseitigen Effekte durch Einführung energiepolitischer Instrumente zu beachten. Aufgrund dieser Systemzusammenhänge wird daher ein auf dem Ansatz der linearen Programmierung basierendes intertemporales Energiesystemmodell verwendet, in dem die Energiewirtschaft Deutschlands von der Primär- bis zur Nutzenergie technologisch detailliert abgebildet und hinsichtlich der Systemkosten optimiert wird. Um die Wechselwirkungen innerhalb des Energiesystems aufzuzeigen, werden sich z. T. ergänzende methodische Verfahren entwickelt und eingesetzt. Neben einem Bilanzierungsmodell zur Ermittlung von die Prozessvorketten berücksichtigender Indikatoren zählen hierzu ein auf der Dualitätstheorie beruhendes Verfahren zur Dekomposition der Energie- und Zertifikatspreise, Methoden der Sensitivitätsanalyse zur Ermittlung der fundamentalen preisbestimmenden Faktoren und Techniken der parametrischen Programmierung, um neben Variationen der Modelleingangsdaten Treibhausgasvermeidungskostenkurven und Angebotskurven regenerativ erzeugten Stroms unter Berücksichtigung der systemaren Zusammenhänge im Energiesektor abzuleiten. Mit Hilfe des entwickelten Energiesystemmodells und der Analysemethoden werden die zukünftigen Entwicklungsperspektiven erneuerbarer Energien im deutschen Energiesystem bis zum Jahr 2050 szenariogestützt untersucht. In den Szenarien werden einerseits die mit einer Quote erneuerbarer Energien in der Stromerzeugung verbundenen energie-, kosten- und emissionsseitigen Auswirkungen betrachtet und andererseits der Beitrag erneuerbarer Energien in Konkurrenz mit alternativen Minderungsoptionen zur Erreichung von Treibhausgasminderungszielen dargestellt. Weiterhin werden in simultanen Variationen die Wechselwirkungen zwischen beiden Instrumenten und ihre Auswirkungen speziell auf die Stromerzeugungsstruktur und die Strompreise beleuchtet. Against the background of an increasing global energy demand and the danger of an anthropogenic disturbance of the climate system by the emission of greenhouse gases, it is necessary to develop sustainable strategies and perspectives for the future energy system. The increased usage of renewable sources is identified from many sides as a key element in strategies to overcome these challenges. However, a widely utilisation of the also in Germany large existing potentials of renewable energy carriers is currently still opposed by the associated high costs relative to fossil energy sources. The intention of the submitted thesis is to analyse the contribution of renewable energy sources in the long-run under competitive market conditions to the energy supply and to study the extent to which renewable energy sources can benefit from the internalisation of greenhouse gas abatement costs in the energy prices. To assess the role of renewable energy sources in the context of the entire energy system, interdependencies between the utilisation of renewable energy sources with other aspects and sectors of the energy system have to be taken into account. In addition to the interconnectedness of the energy system in the horizontal direction by process chains across sectors and in the vertical direction by the competition of renewable with conventional fossil technologies also the linkage by energy prices, which serve as benchmark for the competitiveness of a renewable energy technology, and the energy and price related effects caused by the introduction of policy instruments have to be considered. Due to these interactions within the system, a linear programming based dynamic energy system model is used, which depicts technologically detailed the German energy sector from the primary energy supply to the end-use energy demand side and optimises the energy system with respect to its total costs. In order to reveal the interactions and dependencies within the energy system, several partially complementary methodologies have been developed and applied to the model. Apart from a balance model that allows the calculation of specific indicators under consideration of previous process chains, the methodology comprises a method for decomposing energy and certificate prices based on the duality theory, the method of sensitivity analysis to identify the fundamental price-determining activities and parametric programming techniques to derive greenhouse gas abatement cost curves and renewable electricity supply cost curves. With the help of the developed energy system model and analysis tools, the future development perspectives of renewable energy in the German energy system until the year 2050 are studied in various scenarios. In these scenarios, on the one side the energy-, cost- and emission related effects associated with a quota for the electricity production from renewable sources are studied, on the other side the contribution of renewable energy sources to given greenhouse gas abatement targets in competition with alternative abatement measures is examined. Furthermore the interdependencies between these two policy instruments on each other and their effects on the structure of the electricity sector and on the electricity prices are highlighted.

The assessment of the ‘quality’ of built heritage is a complex transdisciplinary issue, which both public administrations and real estate developers need to carefully consider when making any interventions. Recent international climate regulations underline that currently around 75% of buildings in the EU are not energy efficient. In Italy, those inefficient buildings are more than 50 years old and, if subjected to retrofit interventions, risk being totally transformed and losing their historical value in favor of a more contemporary use. This work aimed to study the residential heritage of the second half of the 20th century in the real estate market and to understand if, how, and in what measure the building and architectonical qualities are recognized and monetized by buyers. The city of Turin was chosen as a study area, and residential building qualities were analyzed using two quality indicators to perform a GWR on market POIs. The results highlighted that housing historical qualities are not homogeneously recognized by the real estate market, in favor of green ones. This work can help both public and private bodies to identify which ‘invisible’ quality residential buildings are immediately exploitable for enhancement strategies, with more respectful retrofitting interventions and a modern protection policy.

Abstract In this paper, we discuss a number of ways to define and measure the affordability of energy consumption, and we examine the emergence of energy poverty in Italy in the period from 1998 to 2011. The paper examines the eligibility criteria for claiming the benefits available to support energy consumption for vulnerable families and it identifies the potential beneficiaries. The study assesses the appropriateness of the eligibility criteria by comparing the population targeted by the policy with the population actually facing affordability problems. A simulation exercise, using the hypothetical scenario most likely to result in energy benefits being made available, shows that, regardless of the affordability index adopted, the provision of state energy benefits has little impact on fuel poverty.

The joint impact of human activities and climate change on natural resources lead to biodiversity loss. Therefore, it is important to select protected areas through systematic conservation planning. The present study assessed how representative natural habitats are protected under the nature conservation network, and to identify new—but so far insufficiently—protected areas containing these habitats for sustainable management. We used the Marxan model to select the most valuable insufficiently protected natural habitats in the Czech Republic as a representative example for a conservation strategy for Central–Eastern European environments. We set three conservation targets (25%, 50%, and 75%), defining how much percent area of valuable representative natural habitats should be added to the area of the habitats already included in the Nature Protection Network. To implement these conservation targets it is necessary to preserve 22,932 ha, 72,429, ha and 124,363 ha respectively of the conservation targets occurring in the insufficiently protected areas, and 17,255 ha, 51,620 ha, and 84,993 ha respectively of the conservation features in the areas without protection status. Marxan was revealed to be an appropriate tool to select the most valuable and insufficiently protected natural habitats for sustainable management.