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Cover image for A changing world : challenges for landscape research
Title:
A changing world : challenges for landscape research
Series:
Landscape series ; 8
Publication Information:
Dordrecht, The Netherlands : Springer, 2007
Physical Description:
ix, 296 p. : ill. (some col.), maps (some col.), digital ; 25 cm.
ISBN:
9781402044342

9781402044366
General Note:
Also available online version
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Electronic Access:
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30000010158584 BH301.L3 C42 2007 Open Access Book Book
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Summary

Summary

Landscape Research has been established as an interdisciplinary field dealing with complex environmental processes at multiple spatial and temporal scales. During the course of its history, various societal, technological and philosophical stimuli have shaped Landscape Research, e.g. the declaration of Landscape Ecology in the 1930s and contemporary global technological and societal developments.

Modern landscape research presently uses mathematics, statistics and advanced simulation techniques to combine empirical observations with known theories from ecology, physics, geography, social science and so on. Knowledge is thus updated and quantified via models that are used for estimation, hypothesis testing, prediction and assessment of scenarios. Advances in the computational sciences (e.g. fast computers and vast array of software), space science (e.g. remote sensing) and biological sciences (e.g. genetics) as well as new perspectives in the social sciences play important roles. Research findings are implemented in conservation management, urban planning and global change mitigation strategies.

This book identifies emerging fields and new challenges that are discussed within the framework of the 'driving forces' of Landscape Development. Rather than offering a comprehensive overview of all fields of Landscape Research, the book addresses 'hot topics' emphasizing major contemporary trends in these fields.


Table of Contents

Felix Kienast and Otto Wildi and Sucharita GhoshMatthias Buchecker and Susanne Kianicka and Berit JunkerPeter Duelli and Priska Baur and Matthias Buchecker and Felix Gugerli and Rolf Holderegger and Thomas WohlgemuthPeter Longatti and Thomas DalangMarcel Hunziker and Matthias Buchecker and Terry HartigNiklaus E. Zimmermann and Robert A. Washington-Allen and Robert D. Ramsey and Michael E. Schaepman and Lukas Mathys and Benjamin Kotz and Mathias Kneubuhler and Thomas C. EdwardsAdrian Lanz and Martin Brandli and Andri BaltensweilerJan Esper and David C. Frank and Jurg LuterbacherMatthias Burgi and Anna M. Hersperger and Marcus Hall and Emiliy W.B. (Russell) Southgate and Nina SchneebergerRolf Holderegger and Felix Gugerli and Christoph Scheidegger and Pierre TaberletWerner Suter and Kurt Bollmann and Rolf HoldereggerJanine Bolliger and Helene H. Wagner and Monica G. TurnerOtto Wildi and Laszlo OrlociSucharita Ghosh and Otto WildiSucharita Ghosh and Jan Beran and Siegfried Heiler and Donald Percival and Willy TinnerHeike Lischke and Thomas J. Loffler and Peter E. Thornton and Niklaus E. ZimmermannHeike Lischke and Janine Bolliger and Ralf Seppelt
Foreword by the Series Editorsp. v
Prefacep. ix
Change and Transformation: A Synthesisp. 1
Value Systems - Major Drivers of Landscape Dynamicsp. 5
Value Systems: Drivers of Human-landscape Interactionsp. 7
The Role of Value Systems in Biodiversity Researchp. 27
The Meaning of "Landscape" - An Exegesis of Swiss Government Textsp. 35
Space and Place - Two Aspects of the Human-landscape Relationshipp. 47
Ecological Observations and Processesp. 63
Modern Remote Sensing for Environmental Monitoring of Landscape States and Trajectoriesp. 65
A Large-scale, Long-term view on Collecting and Sharing Landscape Datap. 93
On Selected Issues and Challenges in Dendroclimatologyp. 113
Using the Past to Understand the Present Land Use and Land Coverp. 133
Integrating Population Genetics with Landscape Ecology to Infer Spatio-temporal Processesp. 145
Landscape Permeability: From Individual Dispersal to Population Persistencep. 157
Spatial Pattern Recognition, Time Series Analysis and Dynamic Modelingp. 175
Identifying and Quantifying Landscape Patterns in Space and Timep. 177
Essay on the Study of the Vegetation Processp. 195
Statistical Analysis of Landscape Data: Space-for-time, Probability Surfaces and Discovering Speciesp. 209
Memory, Non-stationarity and Trend: Analysis of Environmental Time Seriesp. 223
Model Up-scaling in Landscape Researchp. 249
Dynamic Spatio-temporal Landscape Modelsp. 273
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