Complexity in landscape ecology /

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Bibliographic Details
Edition:Second edition.
Imprint:Cham, Switzerland : Springer, [2020]
©2020
Description:1 online resource (xi, 256 pages) : illustrations, maps.
Language:English
Series:Landscape series, 1875-1210 ; volume 22
Landscape series (Springer (Firm)) ; v. 22.
Subject:
Format: E-Resource Map Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12606372
Hidden Bibliographic Details
Other authors / contributors:Green, David G. (David Geoffrey), 1949- author.
Klomp, Nicholas, author.
Rimmington, Glyn M., author.
Sadedin, Suzanne, author,
ISBN:9783030467739
3030467732
9783030467722
Notes:Includes bibliographical references and index.
David Green is Professor of Computer Science at Monash University. Nick Klomp is Professor of Environmental Science and President of CQUniversity, Australia. Glyn Rimmington is Professor of Global Learning at Wichita State University. Suzanne Sadedin is an evolutionary biologist and science writer.
Print version record.
Summary: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 todays globalized and interconnected world. Successful management of the worlds 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.--
Other form:Print version: COMPLEXITY IN LANDSCAPE ECOLOGY. SPRINGER, 2020 3030467724
Standard no.:10.1007/978-3-030-46
10.1007/978-3-030-46773-9

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245 0 0 |a Complexity in landscape ecology /  |c David G. Green, Nicholas I. Klomp, Glyn Rimmington, Suzanne Sadedin. 
250 |a Second edition. 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2020] 
264 4 |c ©2020 
300 |a 1 online resource (xi, 256 pages) :  |b illustrations, maps. 
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504 |a Includes bibliographical references and index. 
505 0 |a 1. Complexity and ecology -- 2. Seeing the wood for the trees : emergent order in growth and behaviour -- 3. Complexity in landscapes -- 4. Oh, what a tangled web : complex networks in ecology -- 5. The imbalance of nature : feedback and stability in ecosystems -- 6. Populations in landscapes -- 7. Living with the neighbours : competition and stability in communities -- 8. Adaptation in landscapes -- 9. Virtual worlds : the role of simulation in ecology -- 10. Digital ecology : new technologies are revolutionizing ecology -- 11. The global picture : limits to growth versus growth without limits. 
520 |a 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 todays globalized and interconnected world. Successful management of the worlds 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.--  |c Provided by publisher. 
545 0 |a David Green is Professor of Computer Science at Monash University. Nick Klomp is Professor of Environmental Science and President of CQUniversity, Australia. Glyn Rimmington is Professor of Global Learning at Wichita State University. Suzanne Sadedin is an evolutionary biologist and science writer. 
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