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Advances in ecological research Volume 41
Title
Advances in ecological research Volume 41 / edited by Hal Caswell.
ISBN
9780123749253
0123749255
1282169556
9781282169555
9786612169557
6612169559
0080957994
9780080957999
Edition
1st ed.
Published
London : Academic, 2009.
Physical Description
1 online resource (xiv, 373 pages) : illustrations.
Local Notes
Access is available to the Yale community.
Notes
English.
Access and use
Access restricted by licensing agreement.
Summary
The book is based on data collected during the past 10 years by Zackenberg Ecological Research Operations (ZERO) at Zackenberg Research Station in Northeast Greenland. This volume covers the function of Arctic ecosystems based on the most comprehensive long-term data set in the world from a well-defined Arctic ecosystem. Editors offer a comprehensive and authoritative analysis of how climate variability is influencing an Arctic ecosystem and how the Arctic ecosystems have inherent feedback mechanisms interacting with climate variability or change. * The latest research on the functioning of Arctic ecosystems * Supplements current books on arctic climate impact assessment as a case study for ecological specialists * Discusses the complex perpetuating effects on Earth * Vital information on modeling ecosystem responses to understand future climates.
Variant and related titles
Elsevier ScienceDirect All Books. OCLC KB.
Format
Books / Online
Language
English
Added to Catalog
September 08, 2020
Series
Advances in ecological research ; v. 41.
Bibliography
Includes bibliographical references and index.
Contents
Front Cover; Ecological Research; Copyright Page; Contents; Contributors to Volume 41; Preface; Chapter 1: Allometry of Body Size and Abundance in 166 Food Webs; Summary; I. Introduction; II. Theory; A. The Energetic Equivalence Hypothesis; B. The Energetic Equivalence Hypothesis with Trophic Transfer Correction; III. Methods; A. Testing Theory; B. Testing Linearity; C. Reasons for Nonlinearity and Alternative Models; D. General Methods; IV. Data; V. Results; A. Testing Theory; B. Testing Linearity; C. Reasons for Nonlinearity and Alternative Models; VI. Discussion
A. Slopes and Predictions of TheoryB. Examples of Ecological Errors from Unsupported Models; C. Discussion of Methods; D. Recommendations and Future Directions; Acknowledgments; Appendix I. How and Why Linearity Tests Differ from Those of Cohen and Carpenter; A. Testing the Assumption of Linearity of Conditional Expectation; B. Testing the Assumption of Homoskedasticity of Residuals; C. Testing the Assumption of Normality of Residuals; D. Testing the Assumption of Homoskedasticity of Absolute Residuals; Appendix II. Testing the Composite Test of Linearity
Appendix III. Symmetric Linear RegressionAppendix IV. Additional Results of Linearity Testing; Appendix V. Abundance and Diversity of Bacteria; Appendix VI. Limitations of the Data; References; Chapter 2: Human and Environmental Factors Influence Soil Faunal Abundance-Mass Allometry and Structure; Summary; I. Introduction; II. Soil Faunal Descriptors; A. Abundance-Mass Slope; B. Faunal Diversity and Total Biomass; C. Abundance-Mass Intercept and Expected Log Population Density of Smallest Taxa; III. Data; A. Data on Taxonomy, Average Body-Mass, and Population Density; B. Environmental Data
C. Human-Use DataD. Carbon Resource Data; IV. Methods; A. Classification of Variables; B. Stepwise Regression; C. Testing Assumptions of Linear Models; V. Results; A. Models of Soil Faunal Community Structure; B. Relative Importance of Variables; C. Interpreting Variation in Structure; D. Testing for Artifacts; VI. Discussion; A. Food Web Descriptors; B. Relative Importance of Variables; C. Limitations of This Study; D. Future Directions; Acknowledgments; Appendix I. Stepwise Regression; Appendix II. Testing Assumptions of Linear Models; Appendix III. Detailed Statistical Results
A. Abundance-Mass SlopeB. Log Faunal Biomass; C. Faunal Diversity; D. Abundance-Mass Intercept and Expected Log Population Density of Smallest Taxa; E. Log Faunal Population Density; References; Chapter 3: Modeling Individual Animal Histories with Multistate Capture-Recapture Models; Summary; I. Introduction; II. A Historical Account; III. Conditional Multistate Models as a Generalization of Survival Models; A. Multistate Models and Data: Meadow Vole Example; B. The Conditional Arnason-Schwarz (CAS) Model; C. The Jolly-Movement (JMV) Model
Genre/Form
Electronic books.
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