Diccionario politécnico Beigbeder
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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. 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
INDICE: 1. Change and transformation.- 2. Value systems: drivers of human-landscape interactions.- 3. The role of value systems in biodiversity research.- 4. The meaning of ‘Landscape’ – an exegesis of Swiss government texts.- 5. Two aspects of the human-landscape relationship.- 6. Modern remote sensing for environmental monitoring of landscape states and trajectories.- 7. A large-scale, long-term view on collecting and sharing of landscape data.- 8. On selected issues and challenges in dendroclimatology.- 9. Using the past to understand the present land use and land cover.- 10. Integrating population genetics with landscape ecology to infer spatio-temporal processes.- 11. Landscape permeability.- 12. Identifying and quantifying landscape patterns in space and time.- 13. Essay on the study of the vegetation process.- 14. Statistical analysis of landscape data.- 15. Memory, non-stationarity and trend.- 16. Model up-scaling in landscape research.- 17. Dynamic spatio-temporal landscape models.
Landscape Ecology; Landscape/Regional and Urban Planning; Ecology. Researchers, advanced students in environmental sciences, landscape managers, specialists in standard methods of landscape research
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