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|a 9781402042874
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|a Green, David G.
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|a Complexity in Landscape Ecology
|h Elektronische Ressource
|c by David G. Green, Nicholas Klomp, Glyn Rimmington, Suzanne Sadedin
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|a 1st ed. 2006
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|a Dordrecht
|b Springer Netherlands
|c 2006, 2006
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|a X, 208 p
|b online resource
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|a COMPLEXITY AND ECOLOGY -- SEEING THE WOOD FOR THE TREES -- COMPLEXITY IN LANDSCAPES -- OH, WHAT A TANGLED WEB. -- THE IMBALANCE OF NATURE -- POPULATIONS IN LANDSCAPES -- LIVING WITH THE NEIGHBOURS -- GENETICS AND ADAPTATION IN LANDSCAPES -- VIRTUAL WORLDS -- DIGITAL ECOLOGY -- THE GLOBAL PICTURE.
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|a Environmental monitoring
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|a Complex Systems
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|a Landscape ecology
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|a Landscape Ecology
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|a Theoretical and Statistical Ecology
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|a System theory
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|a Mathematical physics
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|a Ecology
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|a Environmental Monitoring
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|a Theoretical, Mathematical and Computational Physics
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|a Ecology
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|a Klomp, Nicholas
|e [author]
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|a Rimmington, Glyn
|e [author]
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|a Sadedin, Suzanne
|e [author]
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Landscape Series
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|a 10.1007/1-4020-4287-6
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|u https://doi.org/10.1007/1-4020-4287-6?nosfx=y
|x Verlag
|3 Volltext
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|a 577
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|a Interactions matter. To understand the distributions of plants and animals in a landscape you need to understand how they interact with each other, and with their environment. The resulting networks of interactions make ecosystems highly complex. Recent research on complexity and artificial life provides many new insights about patterns and processes in landscapes and ecosystems. This book provides the first overview of that work for general readers. It covers such topics as connectivity, criticality, feedback, and networks, as well as their impact on the stability and predictability of ecosystem dynamics. With over 60 years of research experience of both ecology and complexity, the authors are uniquely qualified to provide a new perspective on traditional ecology. They argue that understanding ecological complexity is crucial in today’s globalized and interconnected world. Successful management of the world's ecosystems needs to combine models of ecosystem complexity with biodiversity, environmental, geographic and socioeconomic information
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