The manual considers natural and anthropogenic factors of soil acidification, forms and parameters of soil acidity and methods of their determination, reclamation principles of acid soils, the concept of the acid?base buffering of soils. The main educational sources are cited.The manual can be used for the courses of lectures in Soil Science, Soil Chemistry, and Ecology.
Improving Water and Nutrient Use Efficiency in Food Production Systems provides professionals, students, and policy makers with an in-depth view of various aspects of water and nutrient us in crop production. The book covers topics related to global economic, political, and social issues related to food production and distribution, describes various strategies and mechanisms that increase water and nutrient use efficiency, and review te curren situation and potential improvements in major food-producing systems on each continent. The book also deals with problems experienced by developed countries separtaely from problems facing developing countries. Improving Water and Nutrient Use Efficiency emphasizes judicious water and nutrient management which is aimed at maximising water and nutrient utilisation in the agricultural landscape, and minimising undesirable nutrient losses to the environment.
Forest soils are the foundation of the entire forest ecosystem and complex, long-term interactions between trees, soil animals, and the microbial community shape soils in was that are very distinct from agricultural soils. The composition, structure, and processes in forest soils at any given time reflect current conditions, as well as the legacies of decades (and even millennia) of interactions that shape each forest soil. Reciprocal interactions are fundamental; vegetation alters soil physical properties, which influence soil biology and chemistry, which in turn influence the growth and success of plants. These dynamic systems may be strongly influenced by intentional and unintentional management, ranging from fire to fertilization. Sustaining the long-term fertility of forest soils depends on insights about a diverse array of soil features and changes over space and time. Since the third edition of this successful book many new interests in forest soils and their management have arisen, including the role of forest soils in sequestering carbon, and how management influences rates of carbon accumulation. This edition also expands the consideration of how soils are sampled and characterized, and how tree species differ in their influence on soil development. Clearly structured throughout, the book opens with the origins of forest soil science and ends with the application of soil science principles to land management. This new edition provides: A completely revised and updated Fourth Edition of this classic textbook in the field A coherent overview of the major issues surrounding the ecology and management of forest soils Global in scope with coverage of soil types ranging from the tropical rainforest soils of Latin America to the boreal forest soils of Siberia New chapters on Management: Carbon sequestration; Evidence-based approaches and applications of geostatistics, GIS and taxonomies A clear overview of each topic, informative examples/case studies, and an overall context for helping readers think clearly about forest soils An introduction to the literature of forest soil science and to the philosophy of forest soil science research This coherent overview of the major issues surrounding the ecology and management of forest soils will be particularly useful to students taking courses in soil science, forestry, agronomy, ecology, natural resource management, environmental management and conservation, as well as professionals in forestry dealing with the productivity of forests and functioning of watersheds.
Fully integrated and comprehensive in its coverage, Root Genomics and Soil Interactions examines the use of genome-based technologies to understand root development and adaptability to biotic and abiotic stresses and changes in the soil environment. Written by an international team of experts in the field, this timely review highlights both model organisms and important agronomic crops. Coverage includes: novel areas unveiled by genomics research basic root biology and genomic approaches applied to analysis of root responses to the soil environment. Each chapter provides a succinct yet thorough review of research.
Practical tools and advice for managing financial risk, updated for a post-crisis world Advanced Financial Risk Management bridges the gap between the idealized assumptions used for risk valuation and the realities that must be reflected in management actions. It explains, in detailed yet easy-to-understand terms, the analytics of these issues from A to Z, and lays out a comprehensive strategy for risk management measurement, objectives, and hedging techniques that apply to all types of institutions. Written by experienced risk managers, the book covers everything from the basics of present value, forward rates, and interest rate compounding to the wide variety of alternative term structure models. Revised and updated with lessons from the 2007-2010 financial crisis, Advanced Financial Risk Management outlines a framework for fully integrated risk management. Credit risk, market risk, asset and liability management, and performance measurement have historically been thought of as separate disciplines, but recent developments in financial theory and computer science now allow these views of risk to be analyzed on a more integrated basis. The book presents a performance measurement approach that goes far beyond traditional capital allocation techniques to measure risk-adjusted shareholder value creation, and supplements this strategic view of integrated risk with step-by-step tools and techniques for constructing a risk management system that achieves these objectives. Practical tools for managing risk in the financial world Updated to include the most recent events that have influenced risk management Topics covered include the basics of present value, forward rates, and interest rate compounding; American vs. European fixed income options; default probability models; prepayment models; mortality models; and alternatives to the Vasicek model Comprehensive and in-depth, Advanced Financial Risk Management is an essential resource for anyone working in the financial field.
Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general. This book introduces modern Operational Risk Management and describes how various data sources of different types, both numeric and semantic sources such as text can be integrated and analyzed. The book also demonstrates how Operational Risk Management is synergetic to other risk management activities such as Financial Risk Management and Safety Management. Operational Risk Management: a practical approach to intelligent data analysis provides practical and tested methodologies for combining structured and unstructured, semantic-based data, and numeric data, in Operational Risk Management (OpR) data analysis. Key Features: The book is presented in four parts: 1) Introduction to OpR Management, 2) Data for OpR Management, 3) OpR Analytics and 4) OpR Applications and its Integration with other Disciplines. Explores integration of semantic, unstructured textual data, in Operational Risk Management. Provides novel techniques for combining qualitative and quantitative information to assess risks and design mitigation strategies. Presents a comprehensive treatment of «near-misses» data and incidents in Operational Risk Management. Looks at case studies in the financial and industrial sector. Discusses application of ontology engineering to model knowledge used in Operational Risk Management. Many real life examples are presented, mostly based on the MUSING project co-funded by the EU FP6 Information Society Technology Programme. It provides a unique multidisciplinary perspective on the important and evolving topic of Operational Risk Management. The book will be useful to operational risk practitioners, risk managers in banks, hospitals and industry looking for modern approaches to risk management that combine an analysis of structured and unstructured data. The book will also benefit academics interested in research in this field, looking for techniques developed in response to real world problems.