Tracking Environmental Change Using Lake Sediments

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.

Auteur
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.

Contenu

Part I: Introduction, Numerical Overview, and Data-Sets.- Part II: Numerical Methods for the Analysis of Modern and Stratigraphical Palaeolimnological Data.- Part III: Numerical Methods for the Analysis of Stratigraphical Palaeolimnological Data.- Part IV: Case Studies and Future Developments in Quantitative Palaeolimnology.