Ecological Time Series

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Ecological Time Series

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  • 製本 Hardcover:ハードカバー版/ページ数 496 p.
  • 言語 ENG
  • 商品コード 9780412051913
  • DDC分類 574.50151955

Full Description

This volume explores time series analysis and interpretation using a range of methods and examples from terrestrial, marine and freshwater ecology. The book challenges climatology and epidemology. The first section of the book explores the basic concepts of environmental analysis, reviews state-of-the-art techniques and methodologies, and offers solutions to analytical problems of longer time series with special attention to climate change. This provides the reader with the conceptual and methodological tools to analyze environmental data accurately. The second section examines a variety of time scales used to describe change, and the variability within and between different ecosystems, so that diverse systems may be studied in an integrated way. The final section of the book illustrates key concepts and themes, based on the results of major investigations in various time scales, including studies from arctic sites to human epidemology.

Contents

Part I: Analysis and methodology. Can ecological theory cross the land-sea interface? A modern view of applied time series analysis. The great ocean conveyer. Integration of spatial analysis in long-term ecological studies. A general review of dynamical systems. Analysis of long-time series. Part II: Comparisons of scales. Physical and biological scales of variability in lakes, estuaries and the coastal ocean. Ecological variability at the land-sea interface. Scales of variability in the Central Pacific. Temporal variability in the North Atlantic. Planning long-term vegetation studies at landscape scales. Comparisons of ecological time series. Part III: Processes and principles. The problem of pattern and scale in ecology. Long-term environmental change. Physical dynamics and ecological processes: The North Atlantic model. Long-term trends in an arctic ecosystem. Epidemiological approaches in ecological modelling. The invisible present. Ecological processes in time series.

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