Complexity in landscape ecology
著者
書誌事項
Complexity in landscape ecology
（Landscape series, v. 22）
Springer, c2020
2nd ed.
大学図書館所蔵 全1件
注記
Includes bibliographical references and index
Other authors: Nicholas I. Klomp, Glyn Rimmington, Suzanne Sadedin
内容説明・目次
内容説明
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.
目次
1. Towards a new paradigm.- 2. Complexity in ecology.- 3. Complexity in landscapes.- 4. Lessons from complexity theory.- 5. Individuals in landscapes.- 6. Populations and interactions.- 7. Communities.- 8. Genetics and adaptation in landscapes.- 9. Virtual worlds.- 10. Ecological informatics.- 11. The Global Picture.
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