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Titlebook: Complexity in Landscape Ecology; David G. Green,Nicholas I. Klomp,Suzanne Sadedin Book 2020Latest edition Springer Nature Switzerland AG 2

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發(fā)表于 2025-3-21 18:55:03 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Complexity in Landscape Ecology
編輯David G. Green,Nicholas I. Klomp,Suzanne Sadedin
視頻videohttp://file.papertrans.cn/232/231688/231688.mp4
概述Updated second edition incorporates new science and new insights in climate change and biodiversity loss.Offers an up-to-date introduction to the concepts and scientific techniques of complexity in la
叢書名稱Landscape Series
圖書封面Titlebook: Complexity in Landscape Ecology;  David G. Green,Nicholas I. Klomp,Suzanne Sadedin Book 2020Latest edition Springer Nature Switzerland AG 2
描述.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 t
出版日期Book 2020Latest edition
關(guān)鍵詞Landscape Ecology; Biodiversity; Macroevolution; biodiversity loss; complexity theory; Ecotechnology; comp
版次2
doihttps://doi.org/10.1007/978-3-030-46773-9
isbn_softcover978-3-030-46775-3
isbn_ebook978-3-030-46773-9Series ISSN 1572-7742 Series E-ISSN 1875-1210
issn_series 1572-7742
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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發(fā)表于 2025-3-21 22:42:32 | 只看該作者
Complexity in Landscapes,r automata, which represent a landscape as a grid of sites, are often used to model processes in landscapes. These models highlight the phase change that occurs between connected and fragmented landscapes.
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發(fā)表于 2025-3-22 03:24:59 | 只看該作者
,Oh, What a Tangled Web … Complex Networks in Ecology,l interactions, including critical collapse. Ecosystems are really interconnected networks of many kinds, so changed conditions in one network can affect the entire ecosystem. One example of this was the reintroduction of wolves into Yellowstone National Park, which initiated a trophic cascade that
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,The Imbalance of Nature … Feedback and Stability in Ecosystems,ilibrium is difficult to achieve and maintain. Systems often exhibit sensitivity to initial conditions and chaotic behaviour. Negative feedback promotes stability. Positive feedback is destabilizing, but also promotes the emergence of large-scale order in complex systems.
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Living with the Neighbours: Competition and Stability in Communities,vasion. Positive and negative feedback play crucial roles in food webs and determine whether complex ecosystems are stable. Structural complexity, including landscape patterns and species mix, is crucial in maintaining the resilience of ecosystems.
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Digital Ecology: New Technologies Are Revolutionizing Ecology,hods for monitoring (sensors, remote sensing, drones); greater abilities to embrace broadscale phylogeography, and access to the power of e-science (big-data, simulation, visualisation). International repositories now gather data about biodiversity, species distributions and whole ecosystems from ar
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1572-7742 o the concepts and scientific techniques of complexity in la.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
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