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Models of Nature studies the early and turbulent years of the Soviet conservation movement from the October Revolution to the mid-1930s—Lenin’s rule to the rise of Stalin. This new edition includes an afterword by the author that reflects upon the study's impact and discusses advances in the field since the book was first published.
This volume explores the Cultural Models of Nature found in a range of food-producing communities located in climate-change affected areas.
With a new afterword by the authorA study of the early and turbulent years of the Soviet conservation movement. Focusing on the period from the October Revolution to the mid-1930s (from Lenin's rule to the rise of Stalin), Douglas R. Weiner studies the divergence between the growing ecological movement in the country and the state's social and economic policies. The book offers a view of both sides of this dispute: scientific conservation movements on the one hand and an industrializing nation's attitude toward science, scientists, nature, and massive development on the other. Weiner explains the development of pioneering conservation institutions, state practices, and ecological theory in the Soviet Union during the 1920s , and why those developments were sidelined or quashed by Stalin. The book provides a telling example of the social construction of science, showing how the perceived political implications of rival ecological theories influenced Soviet scientists, and chronicles the nature protection movement's conflicts with both the vigilantes of the Cultural Revolution and Stalin's first Five-Year Plan, which blatantly ignored potential environmental consequences in its quest to industrialize on a large scale.The new afterword reflects upon the study's impact and discusses advances in the field since the book was first published. Now in paperback, this classic text is well suited for course use in Russian history, environmental studies, and history of science.
The first history of population ecology traces two generations of science and scientists from the opening of the twentieth century through 1970. Kingsland chronicles the careers of key figures and the field's theoretical, empirical, and institutional development, with special attention to tensions between the descriptive studies of field biologists and later mathematical models. This second edition includes a new afterword that brings the book up to date, with special attention to the rise of "the new natural history" and debates about ecology's future as a large-scale scientific enterprise.
Biologists have long dismissed mathematics as being unable to meaningfully contribute to our understanding of living beings. Within the past ten years, however, mathematicians have proven that they hold the key to unlocking the mysteries of our world -- and ourselves. In The Mathematics of Life, Ian Stewart provides a fascinating overview of the vital but little-recognized role mathematics has played in pulling back the curtain on the hidden complexities of the natural world -- and how its contribution will be even more vital in the years ahead. In his characteristically clear and entertaining fashion, Stewart explains how mathematicians and biologists have come to work together on some of the most difficult scientific problems that the human race has ever tackled, including the nature and origin of life itself.
Drawing on a combination of perspectives from diverse fields, this volume offers an anthropological study of climate change and the ways in which people attempt to predict its local implications, showing how the processes of knowledge making among lay people and experts are not only comparable but also deeply entangled. Through analysis of predictive practices in a diversity of regions affected by climate change – including coastal India, the Cook Islands, Tibet, and the High Arctic, and various domains of scientific expertise and policy making such as ice core drilling, flood risk modelling, and coastal adaptation – the book shows how all attempts at modelling nature’s course are deeply social, and how current research in "climate" contributes to a rethinking of nature as a multiplicity of modalities that impact social life.
Drawing on the ethnographic experience of the contributors, this volume explores the Cultural Models of Nature found in a range of food-producing communities located in climate-change affected areas. These Cultural Models represent specific organizations of the etic categories underlying the concept of Nature (i.e. plants, animals, the physical environment, the weather, humans, and the supernatural). The adoption of a common methodology across the research projects allows the drawing of meaningful cross-cultural comparisons between these communities. The research will be of interest to scholars and policymakers actively involved in research and solution-providing in the climate change arena.
The explosion of public interest in the natural environment can, to a large extent, be attributed to greater public awareness of the impacts of global warming and climate change. This has led to increased research interest and funding directed at studies of issues affecting sensitive, natural environments. Not surprisingly, much of this work has re
This monograph offers a critical introduction to current theories of how scientific models represent their target systems. Representation is important because it allows scientists to study a model to discover features of reality. The authors provide a map of the conceptual landscape surrounding the issue of scientific representation, arguing that it consists of multiple intertwined problems. They provide an encyclopaedic overview of existing attempts to answer these questions, and they assess their strengths and weaknesses. The book also presents a comprehensive statement of their alternative proposal, the DEKI account of representation, which they have developed over the last few years. They show how the account works in the case of material as well as non-material models; how it accommodates the use of mathematics in scientific modelling; and how it sheds light on the relation between representation in science and art. The issue of representation has generated a sizeable literature, which has been growing fast in particular over the last decade. This makes it hard for novices to get a handle on the topic because so far there is no book-length introduction that would guide them through the discussion. Likewise, researchers may require a comprehensive review that they can refer to for critical evaluations. This book meets the needs of both groups.
As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.