Suchergebnisse

This book looks at what actors in complex policy environments actually do to get new institutions off the ground. The story told has a multiplicity of protagonists, many of whom are normally invisible in political studies, such as the state officials and university professors who struggled to move water reform forward. The book explores the interaction between their efforts to influence the design and passage of new legislation and the hard labor of creating the new water management organizations the laws called for.

This book is a comprehensive and detailed synthesis of the natural and human history of forests in the Guiana Shield, which is an ancient geological region located in northeastern South America (constitutes all or most of Brazil, Colombia, French Guiana, Guyana, Suriname and Venezuela), and the forces that have combined to shape their unique place in the modern tropical world. Chapters cover geology, climate, hydrology, soils, nutrient cycling, plant-animal interactions, archaeology, colonization and land use history, plant distributions and life history attributes, forest dynamics and conservation and management of flora and fauna.

Mangroves, Brazil, phosphorus, sulfur. - Three forests along a 600-m transect within a tropical mangrove in North Brazil were studied in a series of 1-m cores at rainy season to determine the chemical and physicochemical change relative to hydrology and species-specific effects. In North Brazil, macrotides are an important factor associated with the spatial variation of the mangrove species. The results indicated an inundation two times higher at low plain (LP) colonized by a monospecific forests Rhizophora mangle than in high plain (HP) at Avicennia germinans forests. The flooding gradient result in a slightly acidic to basic pH (6.3-7.5) and lower redox potential (Eh) (0-100 mV) levels in LP sediments compared to HP (200 mV). Phosphorus (P), sulphur and iron dynamics are closely coupled to the activity of mangroves trees and sulphate-reducing bacteria, suggesting that a combined effect of flooding with the P dynamics and the plant-sediment-microbial feedback contributes to the zonation of the investigated mangroves.

ABSTRACT In recent years, concerns regarding the impacts of deforestation of riparian vegetation on water resources have created social and political tensions in Brazil. This research analyzed simulated hydrologic components of a 6.76 km2 headwater watershed with different widths of riparian vegetation. Lavrinha Watershed (LW) hydrological responses were simulated using the Distributed Hydrology Soil Vegetation Model (DHSVM), which was forced using meteorological data from one station (2005-2010). Land cover scenarios where the percent land cover of Atlantic Forest was increased from the control resulted in changes in hydrologic components in the watershed due to increased evapotranspiration and rainfall interception and reduced runoff and overland flow. The base flow/runoff relationship has increased, suggesting that riparian vegetation plays an important role in groundwater recharge. Modeling of hydrologic components linked to riparian buffer scenarios, such as the process used in this study, can be a useful tool for decision-making strategies regarding watershed management.

In recent years, concerns regarding the impacts of deforestation of riparian vegetation on water resources have created social and political tensions in Brazil. This research analyzed simulated hydrologic components of a 6.76 km2 headwater watershed with different widths of riparian vegetation. Lavrinha Watershed (LW) hydrological responses were simulated using the Distributed Hydrology Soil Vegetation Model (DHSVM), which was forced using meteorological data from one station (2005-2010). Land cover scenarios where the percent land cover of Atlantic Forest was increased from the control resulted in changes in hydrologic components in the watershed due to increased evapotranspiration and rainfall interception and reduced runoff and overland flow. The base flow/runoff relationship has increased, suggesting that riparian vegetation plays an important role in groundwater recharge. Modeling of hydrologic components linked to riparian buffer scenarios, such as the process used in this study, can be a useful tool for decision-making strategies regarding watershed management.

Part I. Introduction -- Chapter 1. Water and its Global Meaning -- Part II. Hydrology and Climate Change Impacts -- Chapter 2. Climate Change Impacts on Water Resources -- Chapter 3. Drought Management -- Chapter 4. Flood Management under Changing Climate -- Chapter 5. Water Sources Allocation and Priorities -- Part III. Urban Water Supply -- Chapter 6. Water Losses Management in Urban Water Distribution Systems -- Chapter 7. Management Strategies for Minimizing DBPs Formation in Drinking Water Systems -- Chapter 8. Water Sensitive Planning and Design. Part IV. Wastewater Management (Technologies) -- Chapter 9. Sewerage Systems and Wastewater Treatment -- Chapter 10. Near-Nature Wastewater Treatment Methods -- Chapter 11. An Overview of Process and Technologies for Industrial Wastewater and Landfill Leachate Treatment -- Chapter 12. Modelling and Control of Wastewater Treatment Processes: An Overview and Recent Trends -- Part V. Wastewater Management (Pollutants) -- Chapter 13. Fingerprint of Persistent Organic Pollutants (POPs) in the Environment: Ecological Assessment and Human Health Effects -- Chapter 14. Wastewater-Based Epidemiology (WBE) Studies for Monitoring of Covid-19 Spread -- Chapter 15. Pharmaceuticals, Benzotriazoles and Polyfluoroalkyl Substances: Impact and Potential Reduction Measures -- Chapter 16. Wastewater-Based Epidemiology: Overview of Covid-19 Tracking in Brazil -- Chapter 17. Investigation of Microplastics in Water and Wastewater: A Review -- Chapter 18. Consequences of Heavy Metals in Water and Wastewater for the Environment and Human Health -- Part VI Agricultural Water Management -- Chapter 19. Reuse of water in agriculture (treated waste water, drainage water) -- Chapter 20. Irrigation management by using digital technologies -- Chapter 21. Fruit Production in Brazil´s Desert and Sustainability Aspects of Irrigated Family Farming along the Lower-middle Sao Francisco River: A Case Study.

Intro -- Contents -- Preface -- Chapter 1 -- Collective Systemic Landscape Planning Strategies: Experience in Paraty, Rio De Janeiro, Brazil -- Abstract -- 1. Introduction -- 2. Methodology -- 2.1. Literature -- 2.2. Data Collection -- 2.3. The Development of a Detailed Cartography -- 2.4. Iconography -- 2.5. Interviews -- 2.6. Field Observation -- 2.7. Collective Workshops -- 3. Conceptual Background -- 3.1. Activating Nature: Biophysical Dynamics in System and Landscape Planning Strategies -- 3.2. Signifying Spaces: Sociocultural Dynamics in System and Landscape Planning Strategies -- 3.3. Structuring Spaces: Urban Context Dynamics in System and Landscape Planning Strategies -- 4. Case Study -- 4.1. Population -- 4.2. Urban Development -- 4.3. Urban Growth Tendencies -- 4.4. Planning -- 4.5. Penha -- 5. Landscape Analysis -- 5.1. Urban Context Dynamics -- 5.1.1. Built-Up Spaces -- 5.1.2. Roadway Infrastructure and Urban Services -- 5.1.3. Planning -- 5.1.4. Interfaces -- 5.1.4.1. Built-up Spaces X Roadway Infrastructure -- 5.1.4.2. Built-up Spaces X Roadway Infrastructure X Planning Rules -- 5.1.5. Considerations -- 5.2. Biophysical Dynamics -- 5.2.1. Vegetation -- 5.2.2. Hydrology -- 5.2.3. Slope Gradients -- 5.2.4. Interfaces -- 5.2.4.1. Biophysical Dynamics X Built-up Spaces X Roadway Infrastructure -- 5.2.4.2. Biophysical Dynamics X Planning Rules -- 5.2.5. Considerations -- 5.3. Sociocultural Dynamics -- 5.3.1. Values -- 5.3.2. Intentions -- 6. Collective Systemic Landscape Planning Strategies -- 6.1. Planning Actions -- 6.2. Project Proposals -- 6.2.1. Riverside Park -- 6.2.2. Agro-Forestry Parkland -- 6.2.3. Road Park -- 6.2.4. Living in the Park -- Conclusion -- Acknowledgments -- References -- Chapter 2

"New institutions don't come into being by themselves: They have to be organized. On the basis of research from a decade-long, multi-site study of efforts to transform freshwater management in Brazil, Practical Authority asks how new institutional arrangements established by law become operational in practice"--

"This book provides insight into the hydrology, ecosystem services and management of water resources in the Paraná River basin, including the importance of water to the socio-economic development of the countries within the watershed. Running through Brazil. Paraguay and Argentina, the Paraná River and its watershed is home to some of South America's major population centers as well as important ecosystems threatened by development. At the same time, the river is also a major resource driving the economies of the nations within its boundaries. This volume examines the impacts of environmental degradation, and the tradeoffs between the energy sector and the maintenance of ecosystem services. In particular, it focuses on the threats from development to sensitive ecosystems within the basin and the challenges of transboundary management of water resources. In addition to presenting wider perspectives on water management, the volume specifically covers water infrastructure, aquatic ecosystems, water quality, geomorphological Influences and the impact of climate change. Finally, by assessing each country's current status in meeting the Sustainable Development Goals this volume provides a timely analysis as national governments within the basin are becoming increasingly concerned about the sustainability of the freshwater ecosystems within the Paraná River basin. This book will be of great interest to students and scholars of water and natural resource management, environmental policy, sustainable development and Latin American studies. It will also be relevant to water management professionals"--

Even in the absence of climate change, freshwater ecosystems and the resources they provide for people are under great pressure because of increasing demand for water and declines in water quality. The imminent onset of climate change will exacerbate these impacts, placing even greater pressure on already stressed resources and regions. A plethora of national climate change policies have been adopted that emphasize structural adjustment in the energy sector and increasing carbon sinks. To date, most public debate on water has focused on the direct impacts of climate change on hydrology. However, there is growing evidence that climate change policies themselves may have substantial additional and negative impacts on freshwater resources and ecosystems and may thus result in maladaptation. To avoid such maladaptation, integrated, coordinated policy making is required. In this paper, national climate change policies from Australia, Brazil, China, the European Union (EU), India, Mexico, South Africa, Tanzania, and the United Kingdom are compared to: (i) identify where negative trade-offs exist between climate change policies and freshwater resources, (ii) analyze where institutions and structures exist to optimize integration among climate, water, and biodiversity policies, and (iii) provide a much needed overview from a broad selection of countries with a view to identifying further opportunities for theoretical exploration and testing. The synergies and conflicts among climate, energy, water, and environmental policies create additional challenges for governments to develop integrated policies to deliver multiple benefits. Success factors for better policy development identified in this assessment and synthesis include engagement of senior political leaders, cyclical policy development, multi-agency and stakeholder processes, and stronger accountability and enforcement measures.

Even in the absence of climate change, freshwater ecosystems and the resources they provide for people are under great pressure because of increasing demand for water and declines in water quality. The imminent onset of climate change will exacerbate these impacts, placing even greater pressure on already stressed resources and regions. A plethora of national climate change policies have been adopted that emphasize structural adjustment in the energy sector and increasing carbon sinks. To date, most public debate on water has focused on the direct impacts of climate change on hydrology. However, there is growing evidence that climate change policies themselves may have substantial additional and negative impacts on freshwater resources and ecosystems and may thus result in maladaptation. To avoid such maladaptation, integrated, coordinated policy making is required. In this paper, national climate change policies from Australia, Brazil, China, the European Union (EU), India, Mexico, South Africa, Tanzania, and the United Kingdom are compared to: (i) identify where negative trade-offs exist between climate change policies and freshwater resources, (ii) analyze where institutions and structures exist to optimize integration among climate, water, and biodiversity policies, and (iii) provide a much needed overview from a broad selection of countries with a view to identifying further opportunities for theoretical exploration and testing. The synergies and conflicts among climate, energy, water, and environmental policies create additional challenges for governments to develop integrated policies to deliver multiple benefits. Success factors for better policy development identified in this assessment and synthesis include engagement of senior political leaders, cyclical policy development, multi-agency and stakeholder processes, and stronger accountability and enforcement measures.

In developing countries, cities development puts an increasing pressure on water resources in their peri-urban areas. While peri-urban catchments often offer important services to their related city, their functioning are durably affected by urbanisation. In this interface, domestic water uses compete with various other water needs such as irrigation, recreational uses, flood control, etc. It results in increased competitions over water availability and quality degradation. These competitions are all the more exacerbated, that it is often combined with a competition for access to land as cities fringe supports the urban expansion processes and presents very diversified modes of land occupation. In South America, these tensions are accentuated by the expulsion to the periphery of economically, politically or sociologically marginalized communities. In a context of implementation of new institutional arrangements for more participative and integrated land and water management, can we contribute to improve the negotiation processes in the periurban interface? The specific objectives of the Negowat research project are to : (1) Design and test a methodology to facilitate negotiation and the avoidance of conflicts by using tools permitting to integrate various types of knowledge and explore the functioning of periurban catchment through scenarios simulation; (2) To increase the capacity of Latin American partners to undertake participatory and multidisciplinary research; and (3) To increase the negotiation capacity and participation of marginalized communities, positioned at the periphery of the discussion processes. In Brazil, the work is being developed in two sub catchment of the Metropolitan Region of São Paulo, the Guarapiranga catchment and the Cabeiceras-Tietê catchment. In Bolivia, the work is developed in the valley area of the municipality Tiquipaya, in the metropolitan region of Cochabamba. This report presents the state of advancement and first results of the project that was initiated in 2003. The objectives for this first phase were (1) to specify the specific issue to be dealt with at in each area (2) to synthesize information available and complete information on various thematic areas (hydrology, agriculture, land market, urbanization, as well as land uses maps), to build a conceptual framework of the functioning of land and water management in periurban spring catchment (3) to develop discussion tools (role playing game, multi-agent model) that will be used as mediation tools with the actors in the catchment. The first part of the report synthesizes the state of advancement and scientific outcomes obtained during this first stage. The second part present the management report of the project. The third part gathers the individual annual report of the 9 institutions participating in the project.

This global study, which has been coordinated by the World Meteorological Organization Global Atmospheric Watch (WMO/GAW) programme, aims to understand the behaviour of key air pollutant species during the COVID-19 pandemic period of exceptionally low emissions across the globe. We investigated the effects of the differences in both emissions and regional and local meteorology in 2020 compared with the period 2015–2019. By adopting a globally consistent approach, this comprehensive observational analysis focuses on changes in air quality in and around cities across the globe for the following air pollutants PM2.5, PM10, PMC (coarse fraction of PM), NO2, SO2, NOx, CO, O3 and the total gaseous oxidant (OX = NO2 + O3) during the pre-lockdown, partial lockdown, full lockdown and two relaxation periods spanning from January to September 2020. The analysis is based on in situ ground-based air quality observations at over 540 traffic, background and rural stations, from 63 cities and covering 25 countries over seven geographical regions of the world. Anomalies in the air pollutant concentrations (increases or decreases during 2020 periods compared to equivalent 2015–2019 periods) were calculated and the possible effects of meteorological conditions were analysed by computing anomalies from ERA5 reanalyses and local observations for these periods. We observed a positive correlation between the reductions in NO2 and NOx concentrations and peoples' mobility for most cities. A correlation between PMC and mobility changes was also seen for some Asian and South American cities. A clear signal was not observed for other pollutants, suggesting that sources besides vehicular emissions also substantially contributed to the change in air quality. As a global and regional overview of the changes in ambient concentrations of key air quality species, we observed decreases of up to about 70% in mean NO2 and between 30% and 40% in mean PM2.5 concentrations over 2020 full lockdown compared to the same period in 2015–2019. However, PM2.5 exhibited complex signals, even within the same region, with increases in some Spanish cities, attributed mainly to the long-range transport of African dust and/or biomass burning (corroborated with the analysis of NO2/CO ratio). Some Chinese cities showed similar increases in PM2.5 during the lockdown periods, but in this case, it was likely due to secondary PM formation. Changes in O3 concentrations were highly heterogeneous, with no overall change or small increases (as in the case of Europe), and positive anomalies of 25% and 30% in East Asia and South America, respectively, with Colombia showing the largest positive anomaly of ~70%. The SO2 anomalies were negative for 2020 compared to 2015–2019 (between ~25 to 60%) for all regions. For CO, negative anomalies were observed for all regions with the largest decrease for South America of up to ~40%. The NO2/CO ratio indicated that specific sites (such as those in Spanish cities) were affected by biomass burning plumes, which outweighed the NO2 decrease due to the general reduction in mobility (ratio of ~60%). Analysis of the total oxidant (OX = NO2 + O3) showed that primary NO2 emissions at urban locations were greater than the O3 production, whereas at background sites, OX was mostly driven by the regional contributions rather than local NO2 and O3 concentrations. The present study clearly highlights the importance of meteorology and episodic contributions (e.g., from dust, domestic, agricultural biomass burning and crop fertilizing) when analysing air quality in and around cities even during large emissions reductions. There is still the need to better understand how the chemical responses of secondary pollutants to emission change under complex meteorological conditions, along with climate change and socio-economic drivers may affect future air quality. The implications for regional and global policies are also significant, as our study clearly indicates that PM2.5 concentrations would not likely meet the World Health Organization guidelines in many parts of the world, despite the drastic reductions in mobility. Consequently, revisions of air quality regulation (e.g., the Gothenburg Protocol) with more ambitious targets that are specific to the different regions of the world may well be required. ; World Meteorological Organization Global Atmospheric Watch programme is gratefully acknowledged for initiating and coordinating this study and for supporting this publication. We acknowledge the following projects for supporting the analysis contained in this article: Air Pollution and Human Health for an Indian Megacity project PROMOTE funded by UK NERC and the Indian MOES, Grant reference number NE/P016391/1; Regarding project funding from the European Commission, the sole responsibility of this publication lies with the authors. The European Commission is not responsible for any use that may be made of the information contained therein. This project has received funding from the European Commission's Horizon 2020 research and innovation program under grant agreement No 874990 (EMERGE project). European Regional Development Fund (project MOBTT42) under the Mobilitas Pluss programme; Estonian Research Council (project PRG714); Estonian Research Infrastructures Roadmap project Estonian Environmental Observatory (KKOBS, project 2014-2020.4.01.20-0281). European network for observing our changing planet project (ERA-PLANET, grant agreement no. 689443) under the European Union's Horizon 2020 research and innovation program, Estonian Ministry of Sciences projects (grant nos. P180021, P180274), and the Estonian Research Infrastructures Roadmap project Estonian Environmental Observatory (3.2.0304.11-0395). Eastern Mediterranean and Middle East—Climate and Atmosphere Research (EMME-CARE) project, which has received funding from the European Union's Horizon 2020 Research and Innovation Programme (grant agreement no. 856612) and the Government of Cyprus. INAR acknowledges support by the Russian government (grant number 14.W03.31.0002), the Ministry of Science and Higher Education of the Russian Federation (agreement 14.W0331.0006), and the Russian Ministry of Education and Science (14.W03.31.0008). We are grateful to to the following agencies for providing access to data used in our analysis: A.M. Obukhov Institute of Atmospheric Physics Russian Academy of Sciences; Agenzia Regionale per la Protezione dell'Ambiente della Campania (ARPAC); Air Quality and Climate Change, Parks and Environment (MetroVancouver, Government of British Columbia); Air Quality Monitoring & Reporting, Nova Scotia Environment (Government of Nova Scotia); Air Quality Monitoring Network (SIMAT) and Emission Inventory, Mexico City Environment Secretariat (SEDEMA); Airparif (owner & provider of the Paris air pollution data); ARPA Lazio, Italy; ARPA Lombardia, Italy; Association Agréée de Surveillance de la Qualité de l'Air en Île-de-France AIRPARIF / Atmo-France; Bavarian Environment Agency, Germany; Berlin Senatsverwaltung für Umwelt, Verkehr und Klimaschutz, Germany; California Air Resources Board; Central Pollution Control Board (CPCB), India; CETESB: Companhia Ambiental do Estado de São Paulo, Brazil. China National Environmental Monitoring Centre; Chandigarh Pollution Control Committee (CPCC), India. DCMR Rijnmond Environmental Service, the Netherlands. Department of Labour Inspection, Cyprus; Department of Natural Resources Management and Environmental Protection of Moscow. Environment and Climate Change Canada; Environmental Monitoring and Science Division Alberta Environment and Parks (Government of Alberta); Environmental Protection Authority Victoria (Melbourne, Victoria, Australia); Estonian Environmental Research Centre (EERC); Estonian University of Life Sciences, SMEAR Estonia; European Regional Development Fund (project MOBTT42) under the Mobilitas Pluss programme; Finnish Meteorological Institute; Helsinki Region Environmental Services Authority; Haryana Pollution Control Board (HSPCB), IndiaLondon Air Quality Network (LAQN) and the Automatic Urban and Rural Network (AURN) supported by the Department of Environment, Food and Rural Affairs, UK Government; Madrid Municipality; Met Office Integrated Data Archive System (MIDAS); Meteorological Service of Canada; Ministère de l'Environnement et de la Lutte contre les changements climatiques (Gouvernement du Québec); Ministry of Environment and Energy, Greece; Ministry of the Environment (Chile) and National Weather Service (DMC); Moscow State Budgetary Environmental Institution MOSECOMONITORING. Municipal Department of the Environment SMAC, Brazil; Municipality of Madrid public open data service; National institute of environmental research, Korea; National Meteorology and Hydrology Service (SENAMHI), Peru; New York State Department of Environmental Conservation; NSW Department of Planning, Industry and Environment; Ontario Ministry of the Environment, Conservation and Parks, Canada; Public Health Service of Amsterdam (GGD), the Netherlands. Punjab Pollution Control Board (PPCB), India. Réseau de surveillance de la qualité de l'air (RSQA) (Montréal); Rosgydromet. Mosecomonitoring, Institute of Atmospheric Physics, Russia; Russian Foundation for Basic Research (project 20–05–00254) SAFAR-IITM-MoES, India; São Paulo State Environmental Protection Agency, CETESB; Secretaria de Ambiente, DMQ, Ecuador; Secretaría Distrital de Ambiente, Bogotá, Colombia. Secretaria Municipal de Meio Ambiente Rio de Janeiro; Mexico City Atmospheric Monitoring System (SIMAT); Mexico City Secretariat of Environment, Secretaría del Medio Ambiente (SEDEMA); SLB-analys, Sweden; SMEAR Estonia station and Estonian University of Life Sciences (EULS); SMEAR stations data and Finnish Center of Excellence; South African Weather Service and Department of Environment, Forestry and Fisheries through SAAQIS; Spanish Ministry for the Ecological Transition and the Demographic Challenge (MITECO); University of Helsinki, Finland; University of Tartu, Tahkuse air monitoring station; Weather Station of the Institute of Astronomy, Geophysics and Atmospheric Science of the University of São Paulo; West Bengal Pollution Control Board (WBPCB). ; Peer reviewed

The global growth in energy demand continues, but the way of meeting rising energy needs is not sustainable. The use of biomass energy is a widely accepted strategy towards sustainable development that sees the fastest rate with the most of increase in power generation followed by strong rises in the consumption of biofuels for transport. Agriculture, forestry and wood energy sector are the leading sources of biomass for bioenergy. However, to be acceptable, biomass feedstock must be produced sustainably. Bioenergy from sustainably managed systems could provide a renewable and carbon neutral source of energy. Bioenergy systems can be relatively complex, intersectoral and site- and scale-specific. The environmental benefits of biomass-for-energy production systems can vary strongly, depending on site properties, climate, management system and input intensities. Bioenergy supply is closely linked to issues of water and land use. It is important to understand the effects of introducing it as well as it is necessary to promote integrated and synergic policies and approaches in the sectors of forestry, agriculture, energy, industry and environment. Biofuels offer attractive solutions to reducing GHG emissions, addressing energy security concerns and have also other socio-economic advantages. Currently produced biofuels are classified as first-generation. Some first-generation biofuels, such as for example ethanol from corn possibly have a limited role in the future transport fuel mix, other ones such as ethanol from sugarcane or biodiesel made from oils extracted from rerennial crops, as well as non-food and industrial crops requiring minimal input and maintenance and offering several benefits over conventional annual crops for ethanol production are promising. Sugarcane ethanol has greenhouse gas (GHG) emissions avoidance potential; can be produced sustainably; can be cost effective without governments support mechanisms, provide useful and valuable co-products; and, if carefully managed with due regard given to sustainable land use, can support the drive for sustainable development in many developing countries. Sugarcane ethanol - currently the most effective biofuel at displacing GHG emissions - is already mitigating GHGs in Brazil. Jatropha curcas L., a multipurpose, drought resistant, perennial plant has gained lot of importance for the production of biodiesel. However, it is important to point out that nearly all of studies have overstated the impacts of first-generation biofuels on global agricultural and land markets due to the fact that they have ignored the role of biofuel by-products. However, feed by-products of first-generation biofuels, such as dried distillers grains with soluble and oilseed meals are used in the livestock industry as protein and energy sources mitigates the price impacts of biofuel production as well as reduce the demand for cropland and moderate the indirect land use consequences. The production of second generation biofuels is expected to start within a few years. Many of the problems associated with first-generation biofuels can be solved by the production of second generation biofuels manufactured from abundant ligno-cellulosic materials such as cereal straw, sugar cane bagasse, forest residues, wastes and dedicated feedstocks (purpose-grown vegetative grasses, short rotation forests and other energy crops). These feedstocks are not food competitive, do not require additional agricultural land and can be grown on marginal and wasteland. Depending on the feedstock choice and the cultivation technique, second-generation biofuel production has the potential to provide benefits such as consuming waste residues and making use of abandoned land. As much as 97-98% of GHG emissions could be avoided by substituting a fossil fuel with wood fuel. Forest fertilization is an attractive option for increasing energy security and reducing net GHG emission. In addition to carbon dioxide the emissions of methane and nitrous oxides may be important factors in GHG balance of biofuels. Forest management rules, best practices for nitrogen fertilizer use and development of second generation technologies use reduce these emissions. Soils have an important role in the global budget of greenhouse gases. However, the effects of biomass production on soil properties are entirely site and practice-specific and little is known about long-term impact. Soil biological systems are resilient and they do not show any lasting impacts due to intensive site management activities. Land management practices can change dramatically the characteristic and gas exchange of an ecosystem. GHG benefits from biomass feedstock use are in some cases significantly lower if the effects of direct¹ or indirect (ILUC²) land use change are taken into account. LUC and ILUC can impact the GHG emission by affecting carbon balance in soil and thus ecosystem. To understand carbon fluxes in an ecosystem large ecosystem units and time scale are critical. Mitigation measures of the impact of land use change on greenhouse gas emissions include the use of residues as feedstock, cultivation of feedstock on abandoned arable land and use of feedstock by-products as substitutes for primary crops as animal feed. Cropping management is the other key factor in estimating GHG emissions associated with LUC and there is significant opportunity to reduce the potential carbon debt and GHG emissions through improved crop and soil management practices, including crop choice, intensity of inputs, harvesting strategy, and tilling practices. Also a system with whole trees harvesting with nutrient compensation is closely to being greenhouse-gas-neutral. Biochar applied to the soil offers a direct method for sequestrating C and generating bioenergy. However, the most recent studies showing that emissions resulting from ILUC are significant have not been systematically compared and summarized and current practices for estimating the effects of ILUC suffer from large uncertainties. Therefore, it seems to be delicate to include the ILUC effects in the GHG emission balance at a country level. The land availability is an important factor in determining bioenergy sustainability. However, even though food and biofuel/biomass can compete for land, this is not inevitably the case. The pattern of completion competition will e.g. depend on whether food security policies are in place. Moreover, the great potential for uncomplicated biomass production lies in using residues and organic waste, introduction of second generation biofuels which are more efficient in use of land and bioresources as well as restoration of degraded and wasted areas. Agroforestry has high potential for simultaneously satisfying many important objectives at ecosystems, economic and social levels. For example, as a very flexible, but low-input system, alley cropping can supply biomass resources in a sustainable way and at the same time provide ecological benefits in Central Europe. A farming system that integrates woody crops with conventional agricultural crops/pasture can more fully utilize the basic resources of water, carbon dioxide, nutrients, and sunlight, thereby producing greater total biomass yield. Overall, whether food prices will rise in parallel to an increase in biofuel demand will depend, more on trade barriers, subsidies, policies and limitations of marketing infrastructure than on lack of physical capacity. There are plant species that provide not only biofuel resources but also has the potential to sequestrate carbon to soil. For example, reed canary grass (RCG, Phalaris arundinacea L.) indicates the potential as a carbon sink. Harvest residues are increasingly utilized to produce energy. Sweden developed a series of recommendations and good-practice guidelines (GPG) for whole tree harvesting practices. Water has a multifarious relationship to energy. Biofuel production will have a relatively minor impact on the global water use. It is critically important to use low-quality water sources and to select the crops and countries that (under current production circumstances) produce bioenergy feedstock in the water-efficient way. However, local and regional impacts of biofuel production could be substantial. Knowledge of watershed characteristics, local hydrology and natural peak flow patterns coupled with site planning, location choice and species choice, are all factors that will determine whether or not this relationship is sustainable. For example, bioethanol's water requirements can range from 5 to 2138 L per liter of ethanol depending on regional irrigation practices. Moreover, sugarcane in Brazil evaporates 2,200 liters for every liter of ethanol, but this demand is met by abundant rainfall. Biomass production can have both positive and negative effects on species diversity. However, woodfuel production systems as well as agroforestry have the potential to increase biodiversity. A regional energy planning could have an important role to play in order to achieve energy-efficient and cost-efficient energy systems. Closing the loop through the optimization of all resources is essential to minimize conflicts in resource requirements as a result of increased biomass feedstock production. A systems approach where the agricultural, forestry, energy, and environmental sectors are considered as components of a single system, and environmental liabilities are used as recoverable resources for biomass feedstock production has the potential to significantly improve the economic, social, and environmental sustainability of biofuels. The LCA (life cycle analysis) approach takes into account all the input and output flows occurring in biomass production systems. The source of biomass has a big impact on LCA outcomes and there is a broad agreement in the scientific community that LCA is one of the best methodologies for the GHG balance calculation of biomass systems. Overall, maximizing benefits of bioenergy while minimizing negative impacts is most likely to occur in the presence of adequate knowledge and frameworks, such as for example certification systems, policy and guidelines. Criteria for achieving sustainability and best land use practices when producing biomass for energy must be established and adopted. ___________ ¹ Direct land-use change occurs when feedstock for biofuels purposes (e.g. soybean for biodiesel) displace a prior land-use (e.g. forest), thereby generating possible changes in the carbon stock of that land. ² Indirect land-use change (ILUC) occurs when pressure on agriculture due to the displacement of previous activity or use of the biomass induces land-use changes on other lands.

Semi-arid areas are, due to their climatic setting, characterized by small water resources. An increasing water demand as a consequence of population growth and economic development as well as a decreasing water availability in the course of possible climate change may aggravate water scarcity in future, which often exists already for present-day conditions in these areas. Understanding the mechanisms and feedbacks of complex natural and human systems, together with the quantitative assessment of future changes in volume, timing and quality of water resources are a prerequisite for the development of sustainable measures of water management to enhance the adaptive capacity of these regions. For this task, dynamic integrated models, containing a hydrological model as one component, are indispensable tools. The main objective of this study is to develop a hydrological model for the quantification of water availability in view of environmental change over a large geographic domain of semi-arid environments. The study area is the Federal State of Ceará (150 000 km2) in the semi-arid north-east of Brazil. Mean annual precipitation in this area is 850 mm, falling in a rainy season with duration of about five months. Being mainly characterized by crystalline bedrock and shallow soils, surface water provides the largest part of the water supply. The area has recurrently been affected by droughts which caused serious economic losses and social impacts like migration from the rural regions. The hydrological model Wasa (Model of Water Availability in Semi-Arid Environments) developed in this study is a deterministic, spatially distributed model being composed of conceptual, process-based approaches. Water availability (river discharge, storage volumes in reservoirs, soil moisture) is determined with daily resolution. Sub-basins, grid cells or administrative units (municipalities) can be chosen as spatial target units. The administrative units enable the coupling of Wasa in the framework of an integrated model which contains modules that do not work on the basis of natural spatial units. The target units mentioned above are disaggregated in Wasa into smaller modelling units within a new multi-scale, hierarchical approach. The landscape units defined in this scheme capture in particular the effect of structured variability of terrain, soil and vegetation characteristics along toposequences on soil moisture and runoff generation. Lateral hydrological processes at the hillslope scale, as reinfiltration of surface runoff, being of particular importance in semi-arid environments, can thus be represented also within the large-scale model in a simplified form. Depending on the resolution of available data, small-scale variability is not represented explicitly with geographic reference in Wasa, but by the distribution of sub-scale units and by statistical transition frequencies for lateral fluxes between these units. Further model components of Wasa which respect specific features of semi-arid hydrology are: (1) A two-layer model for evapotranspiration comprises energy transfer at the soil surface (including soil evaporation), which is of importance in view of the mainly sparse vegetation cover. Additionally, vegetation parameters are differentiated in space and time in dependence on the occurrence of the rainy season. (2) The infiltration module represents in particular infiltration-excess surface runoff as the dominant runoff component. (3) For the aggregate description of the water balance of reservoirs that cannot be represented explicitly in the model, a storage approach respecting different reservoirs size classes and their interaction via the river network is applied. (4) A model for the quantification of water withdrawal by water use in different sectors is coupled to Wasa. (5) A cascade model for the temporal disaggregation of precipitation time series, adapted to the specific characteristics of tropical convective rainfall, is applied for the generating rainfall time series of higher temporal resolution. All model parameters of Wasa can be derived from physiographic information of the study area. Thus, model calibration is primarily not required. Model applications of Wasa for historical time series generally results in a good model performance when comparing the simulation results of river discharge and reservoir storage volumes with observed data for river basins of various sizes. The mean water balance as well as the high interannual and intra-annual variability is reasonably represented by the model. Limitations of the modelling concept are most markedly seen for sub-basins with a runoff component from deep groundwater bodies of which the dynamics cannot be satisfactorily represented without calibration. Further results of model applications are: (1) Lateral processes of redistribution of runoff and soil moisture at the hillslope scale, in particular reinfiltration of surface runoff, lead to markedly smaller discharge volumes at the basin scale than the simple sum of runoff of the individual sub-areas. Thus, these processes are to be captured also in large-scale models. The different relevance of these processes for different conditions is demonstrated by a larger percentage decrease of discharge volumes in dry as compared to wet years. (2) Precipitation characteristics have a major impact on the hydrological response of semi-arid environments. In particular, underestimated rainfall intensities in the rainfall input due to the rough temporal resolution of the model and due to interpolation effects and, consequently, underestimated runoff volumes have to be compensated in the model. A scaling factor in the infiltration module or the use of disaggregated hourly rainfall data show good results in this respect. The simulation results of Wasa are characterized by large uncertainties. These are, on the one hand, due to uncertainties of the model structure to adequately represent the relevant hydrological processes. On the other hand, they are due to uncertainties of input data and parameters particularly in view of the low data availability. Of major importance is: (1) The uncertainty of rainfall data with regard to their spatial and temporal pattern has, due to the strong non-linear hydrological response, a large impact on the simulation results. (2) The uncertainty of soil parameters is in general of larger importance on model uncertainty than uncertainty of vegetation or topographic parameters. (3) The effect of uncertainty of individual model components or parameters is usually different for years with rainfall volumes being above or below the average, because individual hydrological processes are of different relevance in both cases. Thus, the uncertainty of individual model components or parameters is of different importance for the uncertainty of scenario simulations with increasing or decreasing precipitation trends. (4) The most important factor of uncertainty for scenarios of water availability in the study area is the uncertainty in the results of global climate models on which the regional climate scenarios are based. Both a marked increase or a decrease in precipitation can be assumed for the given data. Results of model simulations for climate scenarios until the year 2050 show that a possible future change in precipitation volumes causes a larger percentage change in runoff volumes by a factor of two to three. In the case of a decreasing precipitation trend, the efficiency of new reservoirs for securing water availability tends to decrease in the study area because of the interaction of the large number of reservoirs in retaining the overall decreasing runoff volumes. ; Semiaride Gebiete sind auf Grund der klimatischen Bedingungen durch geringe Wasserressourcen gekennzeichnet. Ein zukünftig steigender Wasserbedarf in Folge von Bevölkerungswachstum und ökonomischer Entwicklung sowie eine geringere Wasserverfügbarkeit durch mögliche Klimaänderungen können dort zu einer Verschärfung der vielfach schon heute auftretenden Wasserknappheit führen. Das Verständnis der Mechanismen und Wechselwirkungen des komplexen Systems von Mensch und Umwelt sowie die quantitative Bestimmung zukünftiger Veränderungen in der Menge, der zeitlichen Verteilung und der Qualität von Wasserressourcen sind eine grundlegende Voraussetzung für die Entwicklung von nachhaltigen Maßnahmen des Wassermanagements mit dem Ziel einer höheren Anpassungsfähigkeit dieser Regionen gegenüber künftigen Änderungen. Hierzu sind dynamische integrierte Modelle unerlässlich, die als eine Komponente ein hydrologisches Modell beinhalten. Vorrangiges Ziel dieser Arbeit ist daher die Erstellung eines hydrologischen Modells zur großräumigen Bestimmung der Wasserverfügbarkeit unter sich ändernden Umweltbedingungen in semiariden Gebieten. Als Untersuchungsraum dient der im semiariden tropischen Nordosten Brasiliens gelegene Bundestaat Ceará (150 000 km2). Die mittleren Jahresniederschläge in diesem Gebiet liegen bei 850 mm innerhalb einer etwa fünfmonatigen Regenzeit. Mit vorwiegend kristallinem Grundgebirge und geringmächtigen Böden stellt Oberflächenwasser den größten Teil der Wasserversorgung bereit. Die Region war wiederholt von Dürren betroffen, die zu schweren ökonomischen Schäden und sozialen Folgen wie Migration aus den ländlichen Gebieten geführt haben. Das hier entwickelte hydrologische Modell Wasa (Model of Water Availability in Semi-Arid Environments) ist ein deterministisches, flächendifferenziertes Modell, das aus konzeptionellen, prozess-basierten Ansätzen aufgebaut ist. Die Wasserverfügbarkeit (Abfluss im Gewässernetz, Speicherung in Stauseen, Bodenfeuchte) wird mit täglicher Auflösung bestimmt. Als räumliche Zieleinheiten können Teileinzugsgebiete, Rasterzellen oder administrative Einheiten (Gemeinden) gewählt werden. Letztere ermöglichen die Kopplung des Modells im Rahmen der integrierten Modellierung mit Modulen, die nicht auf der Basis natürlicher Raumeinheiten arbeiten. Im Rahmen eines neuen skalenübergreifenden, hierarchischen Ansatzes werden in Wasa die genannten Zieleinheiten in kleinere räumliche Modellierungseinheiten unterteilt. Die ausgewiesenen Landschaftseinheiten erfassen insbesondere die strukturierte Variabilität von Gelände-, Boden- und Vegetationseigenschaften entlang von Toposequenzen in ihrem Einfluss auf Bodenfeuchte und Abflussbildung. Laterale hydrologische Prozesse auf kleiner Skala, wie die für semiaride Bedingungen bedeutsame Wiederversickerung von Oberflächenabfluss, können somit auch in der erforderlichen großskaligen Modellanwendung vereinfacht wiedergegeben werden. In Abhängigkeit von der Auflösung der verfügbaren Daten wird in Wasa die kleinskalige Variabilität nicht räumlich explizit sondern über die Verteilung von Flächenanteilen subskaliger Einheiten und über statistische Übergangshäufigkeiten für laterale Flüsse zwischen den Einheiten berücksichtigt. Weitere Modellkomponenten von Wasa, die spezifische Bedingungen semiarider Gebiete berücksichtigen, sind: (1) Ein Zwei-Schichten-Modell zur Bestimmung der Evapotranspiration berücksichtigt auch den Energieumsatz an der Bodenoberfläche (inklusive Bodenverdunstung), der in Anbetracht der meist lichten Vegetationsbedeckung von Bedeutung ist. Die Vegetationsparameter werden zudem flächen- und zeitdifferenziert in Abhängigkeit vom Auftreten der Regenzeit modifiziert. (2) Das Infiltrationsmodul bildet insbesondere Oberflächenabfluss durch Infiltrationsüberschuss als dominierender Abflusskomponente ab. (3) Zur aggregierten Beschreibung der Wasserbilanz von im Modell nicht einzeln erfassbaren Stauseen wird ein Speichermodell unter Berücksichtigung verschiedener Größenklassen und ihrer Interaktion über das Gewässernetz eingesetzt. (4) Ein Modell zur Bestimmung der Entnahme durch Wassernutzung in verschiedenen Sektoren ist an Wasa gekoppelt. (5) Ein Kaskadenmodell zur zeitlichen Disaggregierung von Niederschlagszeitreihen, das in dieser Arbeit speziell für tropische konvektive Niederschlagseigenschaften angepasst wird, wird zur Erzeugung höher aufgelöster Niederschlagsdaten verwendet. Alle Modellparameter von Wasa können von physiographischen Gebietsinformationen abgeleitet werden, sodass eine Modellkalibrierung primär nicht erforderlich ist. Die Modellanwendung von Wasa für historische Zeitreihen ergibt im Allgemeinen eine gute Übereinstimmung der Simulationsergebnisse für Abfluss und Stauseespeichervolumen mit Beobachtungsdaten in unterschiedlich großen Einzugsgebieten. Die mittlere Wasserbilanz sowie die hohe monatliche und jährliche Variabilität wird vom Modell angemessen wiedergegeben. Die Grenzen der Anwendbarkeit des Modell-konzepts zeigen sich am deutlichsten in Teilgebieten mit Abflusskomponenten aus tieferen Grundwasserleitern, deren Dynamik ohne Kalibrierung nicht zufriedenstellend abgebildet werden kann. Die Modellanwendungen zeigen weiterhin: (1) Laterale Prozesse der Umverteilung von Bodenfeuchte und Abfluss auf der Hangskala, vor allem die Wiederversickerung von Oberflächenabfluss, führen auf der Skala von Einzugsgebieten zu deutlich kleineren Abflussvolumen als die einfache Summe der Abflüsse der Teilflächen. Diese Prozesse sollten daher auch in großskaligen Modellen abgebildet werden. Die unterschiedliche Ausprägung dieser Prozesse für unterschiedliche Bedingungen zeigt sich an Hand einer prozentual größeren Verringerung der Abflussvolumen in trockenen im Vergleich zu feuchten Jahren. (2) Die Niederschlagseigenschaften haben einen sehr großen Einfluss auf die hydrologische Reaktion in semiariden Gebieten. Insbesondere die durch die grobe zeitliche Auflösung des Modells und durch Interpolationseffekte unterschätzten Niederschlagsintensitäten in den Eingangsdaten und die daraus folgende Unterschätzung von Abflussvolumen müssen im Modell kompensiert werden. Ein Skalierungsfaktor in der Infiltrationsroutine oder die Verwendung disaggregierter stündlicher Niederschlagsdaten zeigen hier gute Ergebnisse. Die Simulationsergebnisse mit Wasa sind insgesamt durch große Unsicherheiten gekennzeichnet. Diese sind einerseits in Unsicherheiten der Modellstruktur zur adäquaten Beschreibung der relevanten hydrologischen Prozesse begründet, andererseits in Daten- und Parametersunsicherheiten in Anbetracht der geringen Datenverfügbarkeit. Von besonderer Bedeutung ist: (1) Die Unsicherheit der Niederschlagsdaten in ihrem räumlichen Muster und ihrer zeitlichen Struktur hat wegen der stark nicht-linearen hydrologischen Reaktion einen großen Einfluss auf die Simulationsergebnisse. (2) Die Unsicherheit von Bodenparametern hat im Vergleich zu Vegetationsparametern und topographischen Parametern im Allgemeinen einen größeren Einfluss auf die Modellunsicherheit. (3) Der Effekt der Unsicherheit einzelner Modellkomponenten und -parameter ist für Jahre mit unter- oder überdurchschnittlichen Niederschlagsvolumen zumeist unterschiedlich, da einzelne hydrologische Prozesse dann jeweils unterschiedlich relevant sind. Die Unsicherheit einzelner Modellkomponenten- und parameter hat somit eine unterschiedliche Bedeutung für die Unsicherheit von Szenarienrechnungen mit steigenden oder fallenden Niederschlagstrends. (4) Der bedeutendste Unsicherheitsfaktor für Szenarien der Wasserverfügbarkeit für die Untersuchungsregion ist die Unsicherheit der den regionalen Klimaszenarien zu Grunde liegenden Ergebnisse globaler Klimamodelle. Eine deutliche Zunahme oder Abnahme der Niederschläge bis 2050 kann gemäß den hier vorliegenden Daten für das Untersuchungsgebiet gleichermaßen angenommen werden. Modellsimulationen für Klimaszenarien bis zum Jahr 2050 ergeben, dass eine mögliche zukünftige Veränderung der Niederschlagsmengen zu einer prozentual zwei- bis dreifach größeren Veränderung der Abflussvolumen führt. Im Falle eines Trends von abnehmenden Niederschlagsmengen besteht in der Untersuchungsregion die Tendenz, dass auf Grund der gegenseitigen Beeinflussung der großen Zahl von Stauseen beim Rückhalt der tendenziell abnehmenden Abflussvolumen die Effizienz von neugebauten Stauseen zur Sicherung der Wasserverfügbarkeit zunehmend geringer wird.