A Changing World [electronic resource] Challenges for Landscape Research / edited by Felix Kienast, Otto Wildi, Sucharita Ghosh.

Written primarily for researchers and advanced students in environmental and social sciences, this latest book in Springer’s Landscape Series looks at some of the emerging fields and new challenges in landscape research. These include: the role of value systems in perceiving, appreciating, and manag...

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Bibliographic Details
Uniform Title:Landscape Series, 1875-1210 ; 8
Corporate Author: SpringerLink (Online service)
Other Authors: Kienast, Felix (Editor)
Wildi, Otto (Editor)
Ghosh, Sucharita (Editor)
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2007.
Edition:1st ed. 2007.
Series:Landscape Series, 8
Subjects:
Online Access:
Variant Title:
Changing World: Challenges for Landscape Research (Landscape series ; 8)
Format: Electronic eBook
Contents:
  • Change and Transformation: A Synthesis
  • Change and Transformation: A Synthesis
  • Value Systems – Major Drivers of Landscape Dynamics
  • Value Systems: Drivers of Human-landscape Interactions
  • The Role of Value Systems in Biodiversity Research
  • The Meaning of “Landscape” – An Exegesis of Swiss Government Texts
  • Space and Place – Two Aspects of the Human-landscape Relationship
  • Ecological Observations and Processes
  • Modern Remote Sensing for Environmental Monitoring of Landscape States and Trajectories
  • A Large-scale, Long-term view on Collecting and Sharing Landscape Data
  • On Selected Issues and Challenges in Dendroclimatology
  • Using the Past to Understand the Present Land Use and Land Cover
  • Integrating Population Genetics with Landscape Ecology to Infer Spatio-temporal Processes
  • Landscape Permeability: From Individual Dispersal to Population Persistence
  • Spatial Pattern Recognition, Time Series Analysis and Dynamic Modeling
  • Identifying and Quantifying Landscape Patterns in Space and Time
  • Essay on the Study of the Vegetation Process
  • Statistical Analysis of Landscape Data: Space-for-time, Probability Surfaces and Discovering Species
  • Memory, Non-stationarity and Trend: Analysis of Environmental Time Series
  • Model Up-scaling in Landscape Research
  • Dynamic Spatio-temporal Landscape Models.