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The concept of entropy in thermodynamics is a complex one, though it is fundamental in understanding physics, the workings of the mind, and biology. Entropy is the measure of the quality of energy, and it can also refer to the turn from order to disorder or randomness in isolated systems. In open systems, such as biology, entropy is formulated in terms of production and energy flow. This book establishes a novel view of complex biological systems and the earth using this concept of entropy, encompassing the interdisciplinary area of biology, ecology and physics. This book considers the development over time of a range of biologically complex systems such as plants, animals, humans, and ecosystems, describing them in terms of the second law of thermodynamics, entropy. With its broad coverage of biological systems, this book will be useful for students of environmental science as well as students in biology and physics. Includes discussion of multiple complex systems including the earth and biological systems within it. Suitable for those with little physics background who wish to learn how the laws of physics apply to ecological systems. Clearly organized by system, making information easy to access.
The Element reconstructs, analyses and compares different derivational routes to a grounding of the Arrow of Time in entropy. It also evaluates the link between entropy and visible disorder, and the related claim of an alignment of the Arrow of Time with a development from order to visible disorder. The Element identifies three different entropy-groundings for the Arrow of Time: (i) the Empirical Arrow of Time, (ii) the Universal Statistical Arrow of Time, and (iii) the Local Statistical Arrow of Time. The Element will also demonstrate that it is unlikely that high entropy states will always coincide with visible disorder. Therefore, it will dispute that there is a strong link between the Arrow of Time and visible disorder.
Containing the proceedings of the 9th International Conference on Urban Regeneration and Sustainability this book addresses the multi-disciplinary aspects of urban planning; a result of the increasing size of cities; the amount of resources and services required and the complexity of modern society. Most of earth’s population now lives in cities and the process of urbanisation still continues generating many problems deriving from the drift of the population towards them. These problems can be resolved by cities becoming efficient habitats, saving resources in a way that improves the quality and standard of living. The process however, faces a number of major challenges, related to reducing pollution, improving main transportation and infrastructure systems. New urban solutions are required to optimise the use of space and energy resources leading to improvements in the environment, i.e. reduction in air, water and soil pollution as well as efficient ways to deal with waste generation. These challenges contribute to the development of social and economic imbalances and require the development of new solutions. Large cities are probably the most complex mechanisms to manage. However, despite such complexity they represent a fertile ground for architects, engineers, city planners, social and political scientists, and other professionals able to conceive new ideas and time them according to technological advances and human requirements. The challenge of planning sustainable cities lies in considering their dynamics, the exchange of energy and matter, and the function and maintenance of ordered structures directly or indirectly, supplied and maintained by natural systems. Topics covered include: Urban strategies; Planning, development and management; Urban conservation and regeneration; The community and the city; Eco-town planning; Landscape planning and design; Environmental management; Sustainable energy and the city; Transportation; Quality of life; Waterfront development; Case studies; Architectural issues; Cultural heritage issues; Intelligent environment and emerging technologies; Planning for risk; Disaster and emergency response; Safety and security; Waste management; Infrastructure and society; Urban metabolism.
This work skeptically tackles a wide array of subjects relating to the existence of God through a stringent methodology that requires readers to take nothing for granted, question their foundational assumptions, and keep an open mind - all hallmarks of a rigorous, scientific approach.
The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others. - An updated, 3rd English edition of the most widely cited book on quantitative analysis of multivariate ecological data - Relates ecological questions to methods of statistical analysis, with a clear description of complex numerical methods - All methods are illustrated by examples from the ecological literature so that ecologists clearly see how to use the methods and approaches in their own research - All calculations are available in R language functions
Ecological Modeling: An Introduction to the Art and Science of Modeling Ecological Systems, Volume 31, presents the skills needed to appropriately evaluate and use ecological models. Illustrated throughout with practical examples, the book discusses ecological modeling as both an art and a science, balancing the qualitative (artistic) side, with its foundations in common sense and modeling practice, against the quantitative (scientific) aspects of the modeling process. This book draws on the authors’ extensive experience in both teaching and using these techniques to provide readers with a practical, user-friendly guide that supports and encourages the appropriate, effective use of these tools. Provides readers with a commonsense understanding of the systems perspective and its foundations in general system theory Highlights the importance of a solid understanding of the qualitative aspects of the modeling process Facilitates the ability to appropriately evaluate and use ecological models Supports learning with a variety of simple examples to instill the desire and confidence to embark upon the modeling experience
The Water-Energy-Food Nexus: Optimization Models for Decision Making covers the discussion about water, energy, and food as a crucial resource for human well-being and for sustainable development. These resources are inextricable interrelated, therefore, to cover water, energy, and food demands in different sectors and at different scales, it must be considered several sources to produce resources even conventional or unconventional, and there must be considered the interlinkages of resources for a proper integration. This book will emphasize several issues that must be considered in the design of water-energy-food nexus systems such as the selection of technologies to produce water or energy, size of technologies and food required to cover nutritional demands. Therefore, in The Water-Energy-Food Nexus: Optimization Models for Decision Making, mathematical models are presented for the design of water-energy-food nexus systems involving several strategies to account for issues like sustainable development, security of resources, interest in conflicts from stakeholders, and efficient allocation of resources. - Includes different optimization models for the integration of water-energy-food nexus - Considers sustainability criteria in the presented models - Helps readers understand different approaches for trade-off solutions - Presents general software that can be used in solving different problems
"Based on selected papers covering the presentations at the 7th European Conference on Ecological Modelling, organized by ISEM and hosted by The Microsoft Research--University of Trento Center for Computational and Systems Biology from 30 May to 2 June, 2011 in Riva del Garde, Italy"--P. xi.
Time and Methods in Environmental Interfaces Modelling: Personal Insights considers the use of time in environmental interfaces modeling and introduce new methods, from the global scale (e.g. climate modeling) to the micro scale (e.g. cell and nanotubes modeling), which primarily arise from the personal research insights of the authors. As the field of environmental science requires the application of new fundamental approaches that can lead to a better understanding of environmental phenomena, this book helps necessitate new approaches in modeling, including category theory, that follow new achievements in physics, mathematics, biology, and chemistry. - Includes the use of new mathematical tools, such as category theory, mathematical theory of general systems and formal concept analysis, matrix theory tools, stability analysis, and pseudospectra - Presents new content related to time in relation to physics and biology - Combines the word of an experienced author team with over 35 papers of collective experience
Participatory Modelling for Resilient Futures: Action for Managing Our Environment from the Bottom-Up, Volume One provides an important contribution to environmental management by introducing an integrative framework for participatory research for better land use and natural resource planning, organized around compelling recent case studies. It is a valuable guide for the increasing number of students looking for solutions in sustainability science and also practitioners who are on the ground working with local communities to improve specific places. The book was developed in response to the need to provide a clear and synthetic account, in accessible and non-technical language, of the way in which innovative integrative research can help solve real world human-environment interaction problems at a range of levels and scales, e.g., participatory modelling to secure a sustainable future for a natural protected area, working with stakeholders to break the deadlock on renewable energy implementation in Europe or tackling social exclusion and reducing food carbon footprint through local agroecology schemes. - Makes modeling approaches accessible so environmental and natural resource managers can make more precise decisions, accounting for a positive and negative impacts of ecosystem changes - Provides recent real cases to demonstrate implementation of the concepts, allowing the reader to see how to bridge scientific research and societal needs in order to effectively translate knowledge into action - Provides an integrated perspective incorporating science, politics and society, as well as a toolbox of methodologies to enhance participation and engagement of key stakeholders