Special Issue Complexity and Ecological Economics PDF Download
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Author: Katharine N. Farrell
Publisher:
ISBN:
Category :
Languages : en
Pages : 381
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Author: Katharine N. Farrell
Publisher:
ISBN:
Category :
Languages : en
Pages : 381
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Author: Eric Miller
Publisher:
ISBN:
Category :
Languages : en
Pages : 77
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Author: Nick Hanley
Publisher:
ISBN:
Category :
Languages : en
Pages : 211
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Author: Richard P. F. Holt
Publisher: Edward Elgar Publishing
ISBN: 1849802084
Category : Business & Economics
Languages : en
Pages : 338
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Book Description
This book argues that mainstream economics, with its present methodological approach, is limited in its ability to analyze and develop adequate public policy to deal with environmental problems and sustainable development. Each chapter provides major insights into many of today s environmental problems such as global warming and sustainable growth. Building on the strengths and insights of Post Keynesian and ecological economics and incorporating cutting-edge work in economic complexity, bounded rationality and socio-economic dynamics, this book provides an interdisciplinary approach to deal with a broad range of environmental concerns. The contributors show how and where the two traditions share common ground concerning environmental problems and shed light on how the two schools can learn from one another. The book will be of great value to Post Keynesian and ecological economists as well as to those interested in new approaches to important global environmental issues.
Author: Robert Costanza
Publisher:
ISBN:
Category :
Languages : en
Pages : 190
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Author: David G. Green
Publisher: Springer Nature
ISBN: 3030467732
Category : Science
Languages : en
Pages : 262
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This book examines key concepts and analytical approaches in complexity theory as it applies to landscape ecology, including complex networks, connectivity, criticality, feedback, and self-organisation. It then reviews the ways that these ideas have led to new insights into the nature of ecosystems and the role of processes in landscapes. The updated edition explores innovations in ecotechnology, including automated monitoring, big data, simulation and machine learning, and shows how they are revolutionizing ecology by making it possible to deal more effectively with complexity. Addressing the topic in a progression of ideas from small to large, and from simple to sophisticated, the book examines the implications of complexity for major environmental issues of our time, particularly the urgencies of climate change and loss of biodiversity. Understanding ecological complexity is crucial in today’s globalized and interconnected world. Successful management of the world’s ecosystems must combine models of ecosystem complexity with biodiversity, environmental, geographic, and socioeconomic data. The book examines the impact of humans on landscapes and ecosystems, as well as efforts to embed sustainability, commerce and industrial development in the larger context of ecosystem services and ecological economics. Well-established as researchers in the field, the authors provide a new perspective on current and future understanding of complexity in landscape ecology. The new edition offers a non-technical account of the topic, so it is both accessible and informative for general readers. For students of ecology, it provides a fresh approach to classical ideas.
Author: Brian Chi-ang Lin
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Tanya Rosenblat
Publisher: Emerald Group Publishing
ISBN: 1785603507
Category : Business & Economics
Languages : en
Pages : 241
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This volume highlights the importance of replicating previous economic experiments for understanding the robustness and generalizability of behavior. Readers will gain a better understanding of the role that replication plays in scientific discovery as well as valuable insights into the robustness of previously reported findings.
Author: Susana Mourato
Publisher:
ISBN:
Category :
Languages : en
Pages : 12
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Author: Konstantin Aravossis
Publisher:
ISBN:
Category :
Languages : en
Pages : 2
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