Format:
Online-Ressource (XVIII, 745p. 123 illus., 9 illus. in color, digital)
ISBN:
9789400727458
Series Statement:
Developments in Paleoenvironmental Research 5
Content:
John P. Smol
Content:
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. 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.
Note:
Description based upon print version of record
,
Tracking Environmental Change Using Lake Sediments; Preface; Structure of the Book; About The Editors; Contents; Contributors; Part I Introduction, Numerical Overview, and Data-Sets; Chapter 1: The March Towards the Quantitative Analysis of Palaeolimnological Data; Palaeolimnology; Types of Palaeolimnological Data; Different Temporal Scales: From Surface-Sediment Calibration Sets to Detailed Sediment-Core Studies; Opportunities and Challenges; Outline of the Book; References; Chapter 2: Overview of Numerical Methods in Palaeolimnology; Introduction; Types of Palaeolimnological Data
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The Role of Quantification in PalaeolimnologyOverview of Numerical Methods; Identification, Classification, and Assignment; Exploratory Data Analysis; Regression Analysis and Statistical Modelling; Introduction to Regression Analysis and Statistical Modelling; General Linear Models; Extending the General Linear Model; Introduction; Generalised Linear Models; Mixed-Effects Models; Non-parametric Regression Models; Classification and Regression Trees (CARTs); Artificial Neural Networks (ANNs) and Self-Organising Maps (SOMs); Multivariate Regression; Model Selection and Shrinkage
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Quantitative Environmental Reconstruction, Calibration, and Inverse RegressionTemporal-Series Analysis; Confirmatory Data Analysis; Conclusions; References; Chapter 3: Data-Sets; Introduction; The Round Loch of Glenhead Data-Set; The SWAP Data-Set; Data Availability; References; Part II Numerical Methods for the Analysis of Modern and Stratigraphical Palaeolimnological Data; Chapter 4: Introduction and Overview of Part II; Introduction; Data Collection and Data Assessment; Identification; Error Estimation; Data Storage and Data-Bases; Exploratory Data Analysis; Data Summarisation
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Data AnalysisGradient Lengths and Compositional Turnover in Palaeolimnological Data; Estimating Richness from Palaeolimnological Data; Estimating Species Optima and Tolerances Using Palaeolimnological Data; Comparison of Clusterings and Ordinations of Palaeolimnological Data; Data Interpretation; Conclusions; References; Chapter 5: Exploratory Data Analysis and Data Display; Introduction; Exploring Univariate Distributions; Graphical Tools; Data Transformation; Graphical Techniques for Categorical (Nominal and Ordinal) Data; Exploring Bivariate Relationships; Multivariate Techniques
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Time-Series DataOutlier Detection and Treatment; Missing Values; Graph Drawing; Software; Conclusions; References; Chapter 6: Assessment of Uncertainties Associated with Palaeolimnological Laboratory Methods and Microfossil Analysis; Introduction; Single Parameter Estimates; Microfossil Counts; Percentages (Taxa as Proportions of an Overall Sum); Treating Taxa as Ratios of Types (Counting Outside the Sum); Treating Taxa as Numbers of Individuals Per Volume or Weight (Microfossil Concentrations); Treating Taxa as Numbers of Individuals Per Unit Surface Per Year (Accumulation Rates, Influx)
,
Artificial Count Data to Assess the Errors Associated with Low Microfossil Counts
Additional Edition:
ISBN 9789400727441
Additional Edition:
Buchausg. u.d.T. Tracking Environmental change using lake sediments ; 5: Data handling and numerical techniques Dordrecht [u.a.]Springer, 2012 ISBN 9789400727441
Language:
English
Keywords:
Paläolimnologie
;
Stratigraphie
;
Datenauswertung
;
Datenanalyse
;
Numerisches Verfahren
;
Aufsatzsammlung
DOI:
10.1007/978-94-007-2745-8
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