Tracking Environmental Change Using Lake Sediments: Data Handling and Numerical Techniques

Overview

Numerical and statistical methods have rapidly become part of a palaeolimnologist’s tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. ​

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Overview

Numerical and statistical methods have rapidly become part of a palaeolimnologist’s tool-kit. They are used to explore and summarise complex data, reconstruct past environmental variables from fossil assemblages, and test competing hypotheses about the causes of observed changes in lake biota through history. This book brings together a wide array of numerical and statistical techniques currently available for use in palaeolimnology and other branches of palaeoecology. ​

Visit http://extras.springer.com the Springer's Extras website to view data-sets, figures, software, and R scripts used or mentioned in this book.

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Editorial Reviews

From the Publisher
From the reviews:
“The book is divided into Parts I-IV with a total of 21 chapters. … All figures, tables and equations are well-reproduced and enhance the text substantially. This book is a unique and timely publication within the field of palaeoenvironmental research. … all of the chapters have substantial reference lists. The content is also made accessible to new researchers through the 41-page glossary and a detailed index. … an essential reference for postgraduate students and postdoctoral researchers in the early stages of their careers.” (Adrian Palmer, The Holocene, February, 2013)
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Product Details

Meet the Author

H. John B. Birks is Professor in Quantitative Ecology and Palaeoecology at the Department of Biology, University of Bergen and the Bjerknes Centre for Climate Research (Norway), Emeritus Professor at the Environmental Change Research Centre, University College London, and Distinguished Visiting Fellow at the School of Geography and the Environment, University of Oxford. He was Adjunct Professor in the Department of Biology at Queen’s University (Kingston, Ontario) until 2011. André F. Lotter is Professor in Palaeoecology at the Institute of Environmental Biology of Utrecht University (The Netherlands), where he is head of the Laboratory of Palaeobotany and Palynology. Steve Juggins is a Senior Lecturer and Head of Department in the School of Geography, Politics and Sociology, Newcastle University where he teaches and researches issues of aquatic pollution, diatom analysis, palaeolimnology, and quantitative palaeoecology. John P. Smol is a Professor in the Department of Biology at Queen’s University (Kingston, Ontario), where he also holds the Canada Research Chair in Environmental Change. He co-directs the Paleoecological Environmental Assessment and Research Lab (PEARL). John Smol was the founding editor of the international Journal of Paleolimnology (1987-2007) and is current editor of the journal Environmental Reviews, and editor of the Developments in Paleoenvironmental Research book series.

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Table of Contents

Part I: Introduction, Numerical Overview, and Data-Sets.

1. The march towards the quantitative analysis of palaeolimnological data
2. Overview of numerical methods in palaeolimnology
3. Data-sets

Part II: Numerical Methods for the Analysis of Modern and Stratigraphical Palaeolimnological Data

4. Introduction and overview of Part II
5. Exploratory data analysis and data display
6. Assessment of uncertainties associated with palaeolimnological laboratory methods and microfossil analysis
7. Clustering and partitioning
8. From classical to canonical ordination
9.Statistical learning in palaeolimnology

Part III: Numerical Methods for the Analysis of Stratigraphical Palaeolimnological Data

10. Introduction and overview of Part III
11. Analysis of stratigraphical data
12.Estimation of age-depth relationships
13. Core correlation
14. Quantitative environmental reconstructions from biological data 15.Analogue methods in palaeolimnology
16. Auorrelogram and periodogram analyses of palaeolimnological temporal-series from lakes in central and western North America to assess shifts in drought conditions

Part IV: Case Studies and Future Developments in Quantitative Palaeolimnology

17. Introduction and overview of Part IV
18.Limnological responses to environmental changes at inter-annual to decadal time scales
19.Human impacts – applications of numerical methods to evaluate surface-water acidification and eutrophication
20.Tracking Holocene climatic change with aquatic biota from lake sediments: case studies of commonly used numerical techniques
21. Conclusions and future challenges.- Glossary, acronyms, and abbreviations
Index

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