Complexity in Ecological Systems – serie

Why are living things alive? As a theoretical biologist, Robert Rosen saw this as the most fundamental of all questions-and yet it had never been answered satisfactorily by science. The answers to this question would allow humanity to make an enormous leap forward in our understanding of the principles at work in our world. For centuries, it was believed that the only scientific approach to the question "What is life?" must proceed from the Cartesian metaphor (organism as machine). Classical approaches in science, which also borrow heavily from Newtonian mechanics, are based on a process called "reductionism." The thinking was that we can better learn about an intricate, complicated system (like an organism) if we take it apart, study the components, and then reconstruct the system-thereby gaining an understanding of the whole. However, Rosen argues that reductionism does not work in biology and ignores the complexity of organisms. Life Itself, a landmark work, represents the scientific and intellectual journey that led Rosen to question reductionism and develop new scientific approaches to understanding the nature of life.Ultimately, Rosen proposes an answer to the original question about the causal basis of life in organisms. He asserts that renouncing the mechanistic and reductionistic paradigm does not mean abandoning science. Instead, Rosen offers an alternate paradigm for science that takes into account the relational impacts of organization in natural systems and is based on organized matter rather than on particulate matter alone. Central to Rosen's work is the idea of a "complex system," defined as any system that cannot be fully understood by reducing it to its parts. In this sense, complexity refers to the causal impact of organization on the system as a whole. Since both the atom and the organism can be seen to fit that description, Rosen asserts that complex organization is a general feature not just of the biosphere on Earth-but of the universe itself.

Why are living things alive? As a theoretical biologist, Robert Rosen saw this as the most fundamental of all questions-and yet it had never been answered satisfactorily by science. The answers to this question would allow humanity to make an enormous leap forward in our understanding of the principles at work in our world. For centuries, it was believed that the only scientific approach to the question "What is life?" must proceed from the Cartesian metaphor (organism as machine). Classical approaches in science, which also borrow heavily from Newtonian mechanics, are based on a process called "reductionism." The thinking was that we can better learn about an intricate, complicated system (like an organism) if we take it apart, study the components, and then reconstruct the system-thereby gaining an understanding of the whole. However, Rosen argues that reductionism does not work in biology and ignores the complexity of organisms. Life Itself, a landmark work, represents the scientific and intellectual journey that led Rosen to question reductionism and develop new scientific approaches to understanding the nature of life.Ultimately, Rosen proposes an answer to the original question about the causal basis of life in organisms. He asserts that renouncing the mechanistic and reductionistic paradigm does not mean abandoning science. Instead, Rosen offers an alternate paradigm for science that takes into account the relational impacts of organization in natural systems and is based on organized matter rather than on particulate matter alone. Central to Rosen's work is the idea of a "complex system," defined as any system that cannot be fully understood by reducing it to its parts. In this sense, complexity refers to the causal impact of organization on the system as a whole. Since both the atom and the organism can be seen to fit that description, Rosen asserts that complex organization is a general feature not just of the biosphere on Earth-but of the universe itself.

This book synthesizes a diverse literature on scale in ecology. David L. Peterson and V. Thomas Parker gather contributions from scholars and resource managers representing a wide range of disciplines, including soil science, plant ecology, animal ecology, and aquatic ecology. They assist ecologists in developing new strategies for more accurate interpretations of data using a variety of scales. The distinguished contributors in "Ecological Scale" address the theoretical and methodological relevance of scale within a broad multidisciplinary context. Together, the chapters present convincing evidence that the integration of scale concepts into ecological study is of imminent global concern. Indeed, the understanding of such issues as global warming, the protection of biological diversity, and ecosystem management is affected by interpretation of scale. "Ecological Scale" provides invaluable perspectives on the application of the concepts of measurement, analysis, and inference in both theoretical and applied ecology, ultimately providing a broad-based understanding for resource managers and other ecological professionals.

Compiling twenty articles on the nature of life and on the objective of the natural sciences, this remarkable book complements Robert Rosen's groundbreaking Life Itself-a work that influenced a wide range of philosophers, biologists, linguists, and social scientists. In Essays on Life Itself, Rosen takes to task the central objective of the natural sciences, calling into question the attempt to create objectivity in a subjective world and forcing us to reconsider where science can lead us in the years to come.

Compiling twenty articles on the nature of life and on the objective of the natural sciences, this remarkable book complements Robert Rosen's groundbreaking Life Itself-a work that influenced a wide range of philosophers, biologists, linguists, and social scientists. In Essays on Life Itself, Rosen takes to task the central objective of the natural sciences, calling into question the attempt to create objectivity in a subjective world and forcing us to reconsider where science can lead us in the years to come.

While environmentalists insist that lower rates of consumption of natural resources are essential for a sustainable future, many economists dismiss the notion that resource limits act to constrain modern, creative societies. The conflict between these views tinges political debate at all levels and hinders our ability to plan for the future. Supply-Side Sustainability offers a fresh approach to this dilemma by integrating ecological and social science approaches in an interdisciplinary treatment of sustainability. Written by two ecologists and an anthropologist, this book discusses organisms, landscapes, populations, communities, biomes, the biosphere, ecosystems and energy flows, as well as patterns of sustainability and collapse in human societies, from hunter-gatherer groups to empires to today's industrial world. These diverse topics are integrated within a new framework that translates the authors' advances in hierarchy and complexity theory into a form useful to professionals in science, government, and business. The result is a much-needed blueprint for a cost-effective management regime, one that makes problem-solving efforts themselves sustainable over time.The authors demonstrate that long-term, cost-effective resource management can be achieved by managing the contexts of productive systems, rather than by managing the commodities that natural systems produce.

Spatial optimization is a methodology used to maximize or minimize a management objective, given the limited area, finite resources, and spatial relationships in an ecosystem. Optimization approaches can be used to evaluate a great variety of options and allow tradeoff analyses that might be impossible with other methods. This book presents ideas and methods for directly optimizing the spatial layout of the landscape features in which an ecosystem functions. The problems Hof and Bevers address are complex, and the book relies heavily on mathematical presentations; the ideas are explained in a tutorial fashion that allows readers to grasp the general principals even if they skip the math. The first of four parts treats static spatial relationships that reflect the importance of shape, size, and proximity within an ecosystem. Part 2 considers spatial autocorrelation in a chance-constrained modeling framework. Part 3 discusses dynamic spatial changes within modeled ecosystems, and the final section focuses on diversity and sustainability.Although most discussion concerns wildlife habitat issues, the authors also include chapters on recreation, timber management, water runoff, and pest management.

Spatial optimization is a methodology used to maximize or minimize a management objective, given the limited area, finite resources, and spatial relationships in an ecosystem. Optimization approaches can be used to evaluate a great variety of options and allow tradeoff analyses that might be impossible with other methods. This book presents ideas and methods for directly optimizing the spatial layout of the landscape features in which an ecosystem functions. The problems Hof and Bevers address are complex, and the book relies heavily on mathematical presentations; the ideas are explained in a tutorial fashion that allows readers to grasp the general principals even if they skip the math. The first of four parts treats static spatial relationships that reflect the importance of shape, size, and proximity within an ecosystem. Part 2 considers spatial autocorrelation in a chance-constrained modeling framework. Part 3 discusses dynamic spatial changes within modeled ecosystems, and the final section focuses on diversity and sustainability.Although most discussion concerns wildlife habitat issues, the authors also include chapters on recreation, timber management, water runoff, and pest management.

Ecology, Ulanowicz argues, needs a more robust central paradigm, and this book presents one derived from current work in information theory, ecosystem energetics, and complexity theory; the result is a theoretical and empirical tool kit better able to measure the developmental status of any living community. Ranging widely to explore critical issues in the history of science-order, causality, progress, laws-Ulanowicz sets forth a coherent theoretical framework for ecology. He demonstrates that mechanical models can capture behavior of relatively simple, isolated populations, but fail to explain the rich, complex, and sometimes unpredictable mix of order and disorder that characterizes larger systems. A challenge to existing Newtonian and Darwinian paradigms, this book suggests ways to bring ecology from the fringes to the center of science.

Ecology, Ulanowicz argues, needs a more robust central paradigm, and this book presents one derived from current work in information theory, ecosystem energetics, and complexity theory; the result is a theoretical and empirical tool kit better able to measure the developmental status of any living community. Ranging widely to explore critical issues in the history of science-order, causality, progress, laws-Ulanowicz sets forth a coherent theoretical framework for ecology. He demonstrates that mechanical models can capture behavior of relatively simple, isolated populations, but fail to explain the rich, complex, and sometimes unpredictable mix of order and disorder that characterizes larger systems. A challenge to existing Newtonian and Darwinian paradigms, this book suggests ways to bring ecology from the fringes to the center of science.

The Gulf of Maine supports a vital fishery for North America and is one of the most intensely studied marine ecosystems in the world. An understanding of its ecology has practical applications to management of other marine systems and fisheries. This book is the first application of Hierarchy Theory to the ecological workings of the Gulf of Maine and of marine ecosystems in general. Hierarchy Theory offers a perspective that simplifies the apparent complications and contradictions of ecosystems, which encompass a number of scales of time (from minutes to decades or longer) and of space (from centimeters to kilometers). Spencer Apollonio explores in detail the idea of natural constraints inherent in hierarchical ecosystems and the impact upon such systems when constraints are reduced or removed. He argues that conventional fisheries management, which practices the removal of these constraints, may be doomed to failure.Apollonio focuses in particular on the "groundfish crisis" in the Gulf, the precipitous decline due to overfishing in populations of cod, haddock, pollock, hakes, and various types of flounders, which have together constituted the mainstay of the Maine fishing industry for centuries. Hierarchical Perspectives on Marine Complexities presents a compelling case for a new approach that holds the promise of resource sustainability in the face of enormously complicated natural and cultural forces.

Whether discussing habitat placement for the northern spotted owl or black-tailed prairie dog or strategies for controlling exotic pests, this book explains how capturing ecological relationships across a landscape with pragmatic optimization models can be applied to real world problems. Using linear programming, Hof and Bevers show how it is possible for the researcher to include many thousands of choice variables and many thousands of constraints and still be quite confident of being able to solve the problem in hand with widely available software. The authors' emphasis is to preserve optimality and explore how much ecosystem function can be captured, stressing the solvability of large problems such as those in real world case studies.

Is sustainable development a workable solution for today's environmental problems? Is it scientifically defensible? Best known for applying ecological theory to the engineering problems of everyday life, the late scholar James J. Kay was a leader in the study of social and ecological complexity and the thermodynamics of ecosystems. Drawing from his immensely important work, as well as the research of his students and colleagues, The Ecosystem Approach is a guide to the aspects of complex systems theories relevant to social-ecological management. Advancing a methodology that is rooted in good theory and practice, this book features case studies conducted in the Arctic and Africa, in Canada and Kathmandu, and in the Peruvian Amazon, Chesapeake Bay, and Chennai, India. Applying a systems approach to concrete environmental issues, this volume is geared toward scientists, engineers, and sustainable development scholars and practitioners who are attuned to the ideas of the Resilience Alliance-an international group of scientists who take a more holistic view of ecology and environmental problem-solving.Chapters cover the origins and rebirth of the ecosystem approach in ecology; the bridging of science and values; the challenge of governance in complex systems; systemic and participatory approaches to management; and the place for cultural diversity in the quest for global sustainability.

Is sustainable development a workable solution for today's environmental problems? Is it scientifically defensible? Best known for applying ecological theory to the engineering problems of everyday life, the late scholar James J. Kay was a leader in the study of social and ecological complexity and the thermodynamics of ecosystems. Drawing from his immensely important work, as well as the research of his students and colleagues, The Ecosystem Approach is a guide to the aspects of complex systems theories relevant to social-ecological management. Advancing a methodology that is rooted in good theory and practice, this book features case studies conducted in the Arctic and Africa, in Canada and Kathmandu, and in the Peruvian Amazon, Chesapeake Bay, and Chennai, India. Applying a systems approach to concrete environmental issues, this volume is geared toward scientists, engineers, and sustainable development scholars and practitioners who are attuned to the ideas of the Resilience Alliance-an international group of scientists who take a more holistic view of ecology and environmental problem-solving.Chapters cover the origins and rebirth of the ecosystem approach in ecology; the bridging of science and values; the challenge of governance in complex systems; systemic and participatory approaches to management; and the place for cultural diversity in the quest for global sustainability.

Complexity theory illuminates the many interactions between natural and social systems, providing a better understanding of the general principles that can help solve some of today's most pressing environmental issues. Complexity theory was developed from key ideas in economics, physics, biology, and the social sciences and contributes to important new concepts for approaching issues of environmental sustainability such as resilience, scaling, and networks. Complexity Theory for a Sustainable Future is a hands-on treatment of this exciting new body of work and its applications, bridging the gap between theoretical and applied perspectives in the management of complex adaptive systems. Focusing primarily on natural resource management and community-based conservation, the book features contributions by leading scholars in the field, many of whom are among the leaders of the Resilience Alliance. Theoreticians will find a valuable synthesis of new ideas on resilience, sustainability, asymmetries, information processing, scaling, and networks.Managers and policymakers will benefit from the application of these ideas to practical approaches and empirical studies linked to social-ecological systems. Chapters present new twists on such existing approaches as scenario planning, scaling analyses, and adaptive management, and the book concludes with recommendations on how to manage natural resources, how to involve stakeholders in the dynamics of a system, and how to explain the difficult topic of scale. A vital reference for an emerging discipline, this volume provides a clearer understanding of the conditions required for systems self-organization, since the capacity of any system to self-organize is crucial for its sustainability over time.

Complexity theory illuminates the many interactions between natural and social systems, providing a better understanding of the general principles that can help solve some of today's most pressing environmental issues. Complexity theory was developed from key ideas in economics, physics, biology, and the social sciences and contributes to important new concepts for approaching issues of environmental sustainability such as resilience, scaling, and networks. Complexity Theory for a Sustainable Future is a hands-on treatment of this exciting new body of work and its applications, bridging the gap between theoretical and applied perspectives in the management of complex adaptive systems. Focusing primarily on natural resource management and community-based conservation, the book features contributions by leading scholars in the field, many of whom are among the leaders of the Resilience Alliance. Theoreticians will find a valuable synthesis of new ideas on resilience, sustainability, asymmetries, information processing, scaling, and networks.Managers and policymakers will benefit from the application of these ideas to practical approaches and empirical studies linked to social-ecological systems. Chapters present new twists on such existing approaches as scenario planning, scaling analyses, and adaptive management, and the book concludes with recommendations on how to manage natural resources, how to involve stakeholders in the dynamics of a system, and how to explain the difficult topic of scale. A vital reference for an emerging discipline, this volume provides a clearer understanding of the conditions required for systems self-organization, since the capacity of any system to self-organize is crucial for its sustainability over time.

Following the publication of C. S. Holling's seminal work on the relationship between animal body mass patterns and scale-specific landscape structure, ecologists began to explore the theoretical and applied consequences of discontinuities in ecosystems and other complex systems. Are ecosystems and their components continuously distributed and do they adhere to scaling laws, or are they discontinuous and more complex than early models would have us believe? The resulting propositions over the structure of complex systems sparked an ongoing debate regarding the mechanisms generating discontinuities and the statistical methods used for their detection. This volume takes the view that ecosystems and other complex systems are inherently discontinuous and that such fields as ecology, economics, and urban studies greatly benefit from this paradigm shift. Contributors present evidence of the ubiquity of discontinuous distributions in ecological and social systems and how their analysis provides insight into complex phenomena. The book is divided into three sections.The first focuses on background material and contrasting views concerning the discontinuous organization of complex systems. The second discusses discontinuous patterns detected in a number of different systems and methods for detecting them, and the third touches on the potential significance of discontinuities in complex systems. Science is still dominated by a focus on power laws, but the contributors to this volume are convinced power laws often mask the interesting dynamics of systems and that those dynamics are best revealed by investigating deviations from assumed power law distributions. In 2008, a grand conference on resilience was held in Stockholm, hosting 600 participants from around the world. There are now three big centers established with resilience, the most recent one being the Stockholm Resilience Center, with others in Australia (an international coral reef center), Arizona State University's new sustainability center focusing on anthropology, and Canada's emerging social sciences and resilience center. Activity continues to flourish in Alaska, South Africa, and the Untied Kingdom, and a new center is forming in Uruguay.

Following the publication of C. S. Holling's seminal work on the relationship between animal body mass patterns and scale-specific landscape structure, ecologists began to explore the theoretical and applied consequences of discontinuities in ecosystems and other complex systems. Are ecosystems and their components continuously distributed and do they adhere to scaling laws, or are they discontinuous and more complex than early models would have us believe? The resulting propositions over the structure of complex systems sparked an ongoing debate regarding the mechanisms generating discontinuities and the statistical methods used for their detection. This volume takes the view that ecosystems and other complex systems are inherently discontinuous and that such fields as ecology, economics, and urban studies greatly benefit from this paradigm shift. Contributors present evidence of the ubiquity of discontinuous distributions in ecological and social systems and how their analysis provides insight into complex phenomena. The book is divided into three sections.The first focuses on background material and contrasting views concerning the discontinuous organization of complex systems. The second discusses discontinuous patterns detected in a number of different systems and methods for detecting them, and the third touches on the potential significance of discontinuities in complex systems. Science is still dominated by a focus on power laws, but the contributors to this volume are convinced power laws often mask the interesting dynamics of systems and that those dynamics are best revealed by investigating deviations from assumed power law distributions. In 2008, a grand conference on resilience was held in Stockholm, hosting 600 participants from around the world. There are now three big centers established with resilience, the most recent one being the Stockholm Resilience Center, with others in Australia (an international coral reef center), Arizona State University's new sustainability center focusing on anthropology, and Canada's emerging social sciences and resilience center. Activity continues to flourish in Alaska, South Africa, and the Untied Kingdom, and a new center is forming in Uruguay.

The first edition of Toward a Unified Ecology was ahead of its time. For the second edition, the authors present a new synthesis of their core ideas on evaluating communities, organisms, populations, biomes, models, and management. The book now places greater emphasis on post-normal critiques, cognizant of ever-present observer values in the system. The problem it addresses is how to work holistically on complex things that cannot be defined, and this book continues to build an approach to the problem of scaling in ecosystems. Provoked by complexity theory, the authors add a whole new chapter on the central role of narrative in science and how models improve them. The book takes data and modeling seriously, with a sophisticated philosophy of science.

The first edition of Toward a Unified Ecology was ahead of its time. For the second edition, the authors present a new synthesis of their core ideas on evaluating communities, organisms, populations, biomes, models, and management. The book now places greater emphasis on post-normal critiques, cognizant of ever-present observer values in the system. The problem it addresses is how to work holistically on complex things that cannot be defined, and this book continues to build an approach to the problem of scaling in ecosystems. Provoked by complexity theory, the authors add a whole new chapter on the central role of narrative in science and how models improve them. The book takes data and modeling seriously, with a sophisticated philosophy of science.

Compiling twenty articles on the nature of life and on the objective of the natural sciences, this remarkable book complements Robert Rosen''s groundbreaking Life Itself—a work that influenced a wide range of philosophers, biologists, linguists, and social scientists. In Essays on Life Itself, Rosen takes to task the central objective of the natural sciences, calling into question the attempt to create objectivity in a subjective world and forcing us to reconsider where science can lead us in the years to come.