http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
1 online resource (xiv, 373 pages) : illustrations.
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.
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
Includes bibliographical references and index.