Ecologist-Developed Spatially-Explicit Dynamic Landscape Models, James D. Westervelt; Gordon L. Cohen

Автор: Sarah E. Gergel; Monica G. Turner
Название: Learning Landscape Ecology
ISBN: 1493963724 ISBN-13(EAN): 9781493963720
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This title meets a great demand for training in spatial analysis tools accessible to a wide audience. Landscape ecology continues to grow as an exciting discipline with much to offer for solving pressing and emerging problems in environmental science. Much of the strength of landscape ecology lies in its ability to address challenges over large areas, over spatial and temporal scales at which decision-making often occurs. As the world tackles issues related to sustainability and global change, the need for this broad perspective has only increased. Furthermore, spatial data and spatial analysis (core methods in landscape ecology) are critical for analyzing land-cover changes world-wide. While spatial dynamics have long been fundamental to terrestrial conservation strategies, land management and reserve design, mapping and spatial themes are increasingly recognized as important for ecosystem management in aquatic, coastal and marine systems.

This second edition is purposefully more applied and international in its examples, approaches, perspectives and contributors. It includes new advances in quantifying landscape structure and connectivity (such as graph theory), as well as labs that incorporate the latest scientific understanding of ecosystem services, resilience, social-ecological landscapes, and even seascapes. Of course, as before, the exercises emphasize easy-to-use, widely available software.
http: //sarahgergel.net/lel/learning-landscape-ecology/​

Автор: Nicholas Klomp; Glyn Rimmington; Suzanne Sadedin
Название: Complexity in Landscape Ecology
ISBN: 9048123917 ISBN-13(EAN): 9789048123919
Издательство: Springer
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Цена: 14365.00 р.
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Описание: Provides a fresh perspective on traditional ecology. This work covers such topics as connectivity, criticality, feedback, and networks, as well as their impact on the stability and predictability of ecosystem dynamics.