Complexity in landscape ecology /

Complexity in landscape ecology /

Saved in:
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:
Landscape ecology.
Landscape ecology.
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
Review by Choice Review

Green and his coauthors offer a fascinating work to stimulate thinking and practices in modern landscape ecology. Divided into 10 chapters, it is filled with easy-to-understand ecological stories, and further expanded with sophisticated system concepts and modeling. One cannot stop reading until finished, an indication, in this reviewer's opinion, that this unique book is the best published so far in landscape ecology. Following an introduction to complexity in ecosystems, the authors challenge readers with many questions: Are landscape connected? Do ecological communities exist? Why is a starfish like an atomic bomb? The text ends with a discussion of the role of technology (e.g., e-ecology) and global perspectives in modern ecology. In addition to its strong philosophical review of the ecology in landscape studies, the use of Web resources to support the text is exciting. This text can serve as a great reference for anyone interested in ecological research. The easy-to-read materials are suitable for almost every group, ranging from the general public to advanced ecologists. ^BSumming Up: Essential. All levels. J. Chen University of Toledo

Copyright American Library Association, used with permission.
Review by Choice Review

Similar Items