The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others.
The third English edition of Numerical Ecology is a timely update to the authoritative reference work that describes and discusses the numerical methods used in fundamental and applied research for analysing ecological data.
Authored by researchers who have contributed to many of the recent advances in the field, this edition includes newly-developed knowledge and up-to-date references about advanced numerical methods used to analyse large data sets. It also introduces the new paradigm that temporal and spatial structures observed in multi-species assemblages reflect environmental and community-based processes that control the generation and maintenance of biodiversity in ecosystems. Numerical Ecology remains the essential reference for ecologists who conduct quantitative analyses of ecological and environmental data, and who study community composition data.
This book features:
- An emphasis on multi-scale analysis, allowing researchers to investigate modern ecological problems, such as the effects of climate change on natural communities.
- Detailed references to R software, now used by most numerical ecologists for the analysis of human effects on natural communities.
- Real ecological examples to illustrate all theoretical and methodological developments discussed in the book.
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The third English edition of Numerical Ecology is a timely update to the authoritative reference work that describes and discusses the numerical methods used in fundamental and applied research for analysing ecological data.
Authored by researchers who have contributed to many of the recent advances in the field, this edition includes newly-developed knowledge and up-to-date references about advanced numerical methods used to analyse large data sets. It also introduces the new paradigm that temporal and spatial structures observed in multi-species assemblages reflect environmental and community-based processes that control the generation and maintenance of biodiversity in ecosystems. Numerical Ecology remains the essential reference for ecologists who conduct quantitative analyses of ecological and environmental data, and who study community composition data.
This book features:
- An emphasis on multi-scale analysis, allowing researchers to investigate modern ecological problems, such as the effects of climate change on natural communities.
- Detailed references to R software, now used by most numerical ecologists for the analysis of human effects on natural communities.
- Real ecological examples to illustrate all theoretical and methodological developments discussed in the book.
