A Changing World

Landscape Research is established as an interdisciplinary field dealing with complex environmental processes at multiple spatial and temporal scales. Modern landscape research 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, space science and biological sciences 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.

Hot topics, i.e. landscape research to break new grounds in 10-15 years, rather than completeness Paradigms of driving forces and value systems as determinants for landscape development to guide the reader through the book, decisive for the selection of examples Multidisciplinarity: landscapes are treated as cultural product and not merely as spatio-temporal products of abiotic and biological factors Holistic nature of landscape research rather than landscape ecology as discipline Illustrations of theoretical concepts

Klappentext

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 managing landscapes

• the 'space' and 'place' concept in landscape research

• GIS and remote sensing techniques for gathering and processing spatially and temporally explicit land cover, vegetation, and land use data

• methods of landscape history

• landscape genetics and genetic methods to test landscape connectivity and dispersal of plant and animal species

• palaeoclimatic research, with focus on tree ring based temperature reconstructions

• landscape patterns, processes and model up-scaling

• statistical methods for environmental time series and other observations

Drawing on the expertise of an interdisciplinary team, the book provides a valuable reference for researchers in landscape ecology, landscape perception, conservation biology, ecological modeling, statistics in the environmental sciences and related fields.

Inhalt
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.