ALBERT

Note: Contents 1 An Observational Overview of the Equatorial Ocean 1.1 The Thermocline: The Tropical Ocean as a Two-Layer Model 1.2 Equatorial Currents 1.3 The Somali Current and the Monsoon 1.4 Deep Internal Jets 1.5 The El Niño/Southern Oscillation (ENSO) 1.6 Upwelling in the Gulf of Guinea 1.7 Seasonal Variations of the Thermocline 1.8 Summary References 2 Basic Equations and Normal Modes 2.1 Model 2.2 Boundary Conditions 2.3 Separation of Variables 2.4 Lamb’s Parameter, Equivalent Depths, Kelvin Phase Speeds and All that 2.5 Vertical Modes and Layer Models 2.6 Nondimensionalization References 3 Kelvin, Yanai, Rossby and Gravity Waves 3.1 Latitudinal Wave Modes: An Overview 3.2 Latitudinal Wave Modes: Structure and Spatial Symmetries 3.3 Dispersion Relations: Exact and Approximate Frequencies 3.4 Analytic Approximations to Equatorial Wave Frequencies 3.4.1 Explicit Formulas 3.4.2 Long Wave Series 3.5 Separation of Time Scales 3.6 Forced Waves 3.7 How the Mixed-Rossby Gravity Wave Earned Its Name 3.8 Hough-Hermite Vector Basis 3.8.1 Introduction 3.8.2 Inner Product and Orthogonality 3.8.3 Orthonormal Basis Functions 3.9 Applications of the Hough-Hermite Basis: Linear Initial-Value Problems 3.10 Initialization Through Hough-Hermite Expansion 3.11 Energy Relationships 3.12 The Equatorial Beta-Plane as the Thin Limit of the Nonlinear Shallow Water Equations on the Sphere References 4 The “Long Wave” Approximation & Geostrophy 4.1 Introduction 4.2 Quasi-Geostrophy 4.3 The “Meridional Geostrophy”, “Low Frequency” or “Long Wave” Approximation 4.4 Boundary Conditions 4.5 Frequency Separation of Slow [Rossby/Kelvin] and Fast [Gravity] Waves 4.6 Initial Value Problems in an Unbounded Ocean, Linearized About a State of Rest, in the Long Wave Approximation 4.7 Reflection from an Eastern Boundary in the Long Wave Approximation 4.7.1 The Method of Images 4.7.2 Dilated Images 4.7.3 Zonal Velocity 4.8 Forced Problems in the Long Wave Approximation References 5 The Equator as Wall: Coastally Trapped Waves and Ray-Tracing 5.1 Introduction 5.2 Coastally-Trapped Waves 5.3 Ray-Tracing For Coastal Waves 5.4 Ray-Tracing on the Equatorial Beta-Plane 5.5 Coastal and Equatorial Kelvin Waves 5.6 Topographic and Rotational Rossby Waves and Potential Vorticity References 6 Reflections and Boundaries 6.1 Introduction 6.2 Reflection of Midlatitude Rossby Waves from a Zonal Boundary 6.3 Reflection of Equatorial Waves from a Western Boundary 6.4 Reflection from an Eastern Boundary 6.5 The Meridional Geostrophy/Long Wave Approximation and Boundaries 6.6 Quasi-normal Modes: Definition and Other Weakly Non-existent Phenomena 6.7 Quasi-normal Modes in the Long Wave Approximation: Derivation 6.8 Quasi-normal Modes in the Long Wave Approximation: Discussion 6.9 High Frequency Quasi-free Equatorial Oscillations 6.10 Scattering and Reflection from Islands References 7 Response of the Equatorial Ocean to Periodic Forcing 7.1 Introduction 7.2 A Hierarchy of Models for Time-Periodic Forcing 7.3 Description of the Model and the Problem 7.4 Numerical Models: Reflections and “Ringing” 7.5 Atlantic Versus Pacific 7.6 Summary References 8 Impulsive Forcing and Spin-Up 8.1 Introduction 8.2 The Reflection of the Switched-On Kelvin Wave 8.3 Spin-Up of a Zonally-Bounded Ocean: Overview 8.4 The Interior (Yoshida) Solution 8.5 Inertial-Gravity Waves 8.6 Western Boundary Response 8.7 Sverdrup Flow on the Equatorial Beta-Plane 8.8 Spin-Up: General Considerations 8.9 Equatorial Spin-Up: Details 8.10 Equatorial Spin-Up: Summary References 9 Yoshida Jet and Theories of the Undercurrent 9.1 Introduction 9.2 Wind-Driven Circulation in an Unbounded Ocean: f-Plane 9.3 The Yoshida Jet 9.4 An Interlude: Solving Inhomogeneous Differential Equations at Low Latitudes 9.4.1 Forced Eigenoperators: Hermite Series 9.4.2 Hutton–Euler Acceleration of Slowly Converging Hermite Series 9.4.3 Regularized Forcing 9.4.4 Bessel Function Explicit Solution for the Yoshida Jet 9.4.5 Rational Approximations: Two-Point Padé Approximants and Rational Chebyshev Galerkin Methods 9.5 Unstratified Models of the Undercurrent 9.5.1 Theory of Fofonoff and Montgomery (1955) 9.5.2 Model of Stommel (1960) 9.5.3 Gill (1971) and Hidaka (1961) References 10 Stratified Models of Mean Currents 10.1 Introduction 10.2 Modal Decompositions for Linear, Stratified Flow 10.3 Different Balances of Forces 10.3.1 Bjerknes Balance 10.4 Forced Baroclinic Flow in the “Bjerknes” Approximation 10.4.1 Other Balances 10.5 The Sensitivity of the Undercurrent to Parameters 10.6 Observations of Subsurface Countercurrents (Tsuchiya Jets) 10.7 Alternate Methods for Vertical Structure with Viscosity 10.8 McPhaden’s Model of the EUC and SSCC’s: Results 10.9 A Critique of Linear Models of the Continuously-Stratified, Wind-Driven Ocean References 11 Waves and Beams in the Continuously Stratified Ocean 11.1 Introduction 11.1.1 Equatorial Beams: A Theoretical Inevitability 11.1.2 Slinky Physics and Impedance Mismatch, or How Water Can Be as Reflective as Silvered Glass 11.1.3 Shallow Barriers to Downward Beams 11.1.4 Equatorial Methodology 11.2 Alternate Form of the Vertical Structure Equation 11.3 The Thermocline as a Mirror 11.4 The Mirror-Thermocline Concept: A Critique 11.5 The Zonal Wavenumber Condition for Strong Excitation of a Mode 11.6 Kelvin Beams: Background 11.7 Equatorial Kelvin Beams: Results References 12 Stable Linearized Waves in a Shear Flow 12.1 Introduction 12.2 UðyÞ: Pure Latitudinal Shear 12.3 Neutral Waves in Flow Varying with Both Latitude and Height: Numerical Studies 12.4 Vertical Shear and the Method of Multiple Scales References 13 Inertial Instability, Pancakes and Deep Internal Jets 13.1 Introduction: Stratospheric Pancakes and Equatorial Deep Jets 13.2 Particle Argument 13.2.1 Linear Inertial Instability 13.3 Centrifugal Instability: Rayleigh’s Parcel Argument 13.4 Equatorial Gamma-Plane Approximation 13.5 Dynamical Equator 13.6 Gamma-Plane Instability 13.7 Mixed Kelvin-Inertial Instability 13.8 Summary References 14 Kelvin Wave Instability: Critical Latitudes and Exponentially Small Effects 14.1 Proxies and the Optical Theorem 14.2 Six Ways to Calculate Kelvin Instability 14.2.1 Power Series for the Eigenvalue 14.2.2 Hermite-Padé Approximants 14.2.3 Numerical Methods 14.3 Instability for the Equatorial Kelvin Wave in the Small Wavenumber Limit 14.3.1 Beyond-All-Orders Rossby Wave Instability 14.3.2 Beyond-All-Orders Kelvin Wave Instability in Weak Shear in the Long Wave Approximation 14.4 Kelvin Instability in Shear: The General Case References 15 Nonmodal Instability 15.1 Introduction 15.2 Couette and Poiseuille Flow and Subcritical Bifurcation 15.3 The Fundamental Orr Solution 15.4 Interpretation: The “Venetian Blind Effect” 15.5 Refinements to the Orr Solution 15.6 The “Checkerboard” and Bessel Solution 15.6.1 The “Checkerboard” Solution 15.7 The Dandelion Strategy 15.8 Three-Dimensional Transients 15.9 ODE Models and Nonnormal Matrices 15.10 Nonmodal Instability in the Tropics 15.11 Summary References 16 Nonlinear Equatorial Waves 16.1 Introduction 16.2 Weakly Nonlinear Multiple Scale Perturbation Theory 16.2.1 Reduction from Three Space Dimensions to One 16.2.2 Three Dimensions and Baroclinic Modes 16.3 Solitary and Cnoidal Waves 16.4 Dispersion and Waves 16.4.1 Derivation of the Group Velocity Through the Method of Multiple Scales 16.5 Integrability, Chaos and the Inverse Scattering Method 16.6 Low Order Spectral Truncation (LOST) 16.7 Nonlinear Equatorial Kelvin Waves 16.7.1 Physics of the One-Dimensional Advection (ODA) Equation: ut + cux + buux = 0 16.7.2 Post-Breaking: Overturning, Taylor Shock or “Soliton Clusters”? 16.7.3 Viscous Regularization of Kelvin Fronts: Burgers’ Equation And Matched Asymptotic Perturbation Theory 16.8 Kelvin-Gravity Wave Shortwave Resonance: Curving Fronts and Undulations 16.9 Kelvin Solitary and Cnoidal Waves 16.10 Corner Waves and the Cnoidal-Corner-Breaking Scenario 16.11 Rossby Solitary Waves 16.12 Antisymmetr

Note: Introduction -- Geodetic Data Collection Techniques -- Geodetic datum and Geodetic Control Network -- Geoid and Height System -- Reference Ellipsoid and Geodetic Coordinate System -- Gauss and UTM Conformal Projection and Plane Rectangular Coordinate System -- Establishment of Geodetic Coordinate System

Note: Inhalt: 1 Einleitung. - 1.1 Alltägliche Probleme. - 1.2 Uni- und multivariate Daten. - 1.3 Wege ins Statistiklabyrinth. - 2 Statistische Grundlagen. - 2.1 Einführung in die Terminologie. - 2.2 Datentypen -Skalenniveaus. - 2.3 Korrelation. - 2.4 Regression. - 2.5 Lineare Regression. - 2.6 Multiplelineare Regression. - 2.7 Unimodale Modelle - die Gauß'sche Regression. - 2.8 Logistische und Gauß'sche logistische Regression. - 2.9 Interaktionen. - 2.10 Gewichtetes Mittel. - 2.11 Partielle Analysen. - 3 Datenmanipulationen. - 3.1 Normalverteilung und Transformationen. - 3.2 Standardisierungen. - 3.3 Transponieren, Umkodieren und Maskieren. - 4 Ähnlichkeits- und Distanzmaße. - 4.1 Qualitative Ähnlichkeitsmaße. - 4.2 Quantitative Ähnlichkeitsmaße. - 4.3 Distanzmaße. - 4.4 Vergleich der geschilderten Koeffizienten. - 5 Ordinationen - das Prinzip. - 5.1 Dimensionsreduktion als Analysestrategie. - 5.2 Polare Ordination. - 6 Korrespondenzanalyse (CA). - 6.1 Das Prinzip. - 6.2 Mathematische Artefakte - Probleme der CA. - 6.3 DCA {Detrended Correspondence Analysis). - 6.4 Zusammenfassendes zu Problemen der CA und DCA. - 7 Interpretation von CA und DCA. - 7.1 Zur Skalierung und Interpretation der Ordinationsdiagramme. - 7.2 Umweltvariablen-Interaktionen von Effekten. - 7.3 Ordination und Umweltdaten. - 8 Kanonische Ordination (constrained ordination). - 8.1 Prinzip der Kanonischen Korrespondenzanalyse (CCA). - 8.2 Interpretation eines CCA-Diagramms. - 8.3 Forward selection bei kanonischen Ordinationen. - 8.4 Überprüfung einer CCA. - 9 Hauptkomponentenanalyse (PCA). - 9.1 Das Prinzip - geometrische Herleitung. - 9.2 Das Prinzip - der mathematische Ansatz. - 9.3 Optionen bei einer PCA. - 9.4 Stärken und Schwächen der PCA. - 9.5 Faktorenanalyse. - 10 Lineare Methoden und Umweltdaten: PCA und RDA. - 10.1 Indirekte Ordination. - 10.2 Kanonische Ordination - Prinzip der Redundanzanalyse. - 10.3 Interpretation einer RDA. - 11 Partielle Ordination und variance partitioning. - 11.1 Kovariablen. - 11.2 Partielle PCA, CA, DCA. - 11.3 Partielle kanonische Ordination. - 11.4 Variance partitioning. - 12 Multidimensionale Skalierung. - 12.1 Der andere Weg zum Ziel. - 12.2 Metrische Multidimensionale Skalierung - Hauptkoordinatenanalyse. - 12.3 Nichtmetrische Multidimensionale Skalierung. - 12.3.1 Das Prinzip. - 12.3.2 NMDS - Optionen und Probleme. - 12.3.3 Ablauf einer NMDS. - 13 Klassifikation - das Prinzip. - 13.1 Das Wesen von Klassifikationen. - 13.2 Die wichtigsten Klassifikationsstrategien. - 14 Agglomerative Klassifikationsverfahren. - 14.1Clusteranalyse - Grundlagen. - 14.2 Auswertung von Dendrogrammen. - 15 Divisive Klassifikationsverfahren. - 15.1 Ordination Space Partitioning. - 15.2 TWINSPAN. - 15.3 Ablauf einer TWINSPAN-Analyse. - 15.4 Kritik an der TWINSPAN-Analyse. - 16 Sonstige Verfahren zur Beschreibung von Gruppenstrukturen. - 16.1 Nichthierarchische agglomerative Verfahren. - 16.2 Nichthierarchische divisive Verfahren. - 16.3 Numerische "treue"-basierte Verfahren. - 16.4 Diskriminanzanalyse. - 16.4.1 Das Prinzip. - 16.4.2 Voraussetzungen. - 16.4.3 Gütekriterien/Prüfung der Ergebnisse. - 17 Permutationsbasierte Tests. - 17.1 Das Prinzip von Permutationstests. - 17.2 Test auf Signifikanz von Ordinationsachsen. - 17.3 Mantel-Test. - 17.4 Gruppenvergleiche - Mantel-Tests und MRPP. - 17.5 Procrustes-Analysen. - 17.6 Indicator Species Analysis. - 17.7 Ausblick Randomisierungsverfahren. - Literatur. - Sachverzeichnis.

Note: Contents Foreword Preface Contributors I Introduction 1 The Development of Climate Research / by ANTONIO NAVARRA 1.1 The Nature of Climate Studies 1.1.1 The Big Storm Controversy 1.1.2 The Great Planetary Oscillations 1.2 The Components of Climate Research 1.2.1 Dynamical Theory 1.2.2 Numerical Experimentation 1.2.3 Statistical Analysis 2 Misuses of Statistical Analysis in Climate Research / by HANS VON STORCH 2.1 Prologue 2.2 Mandatory Testing and the Mexican Hat 2.3 Neglecting Serial Correlation 2.4 Misleading Names: The Case of the Decorrelation Time 2.5 Use of Advanced Techniques 2.6 Epilogue II Analyzing The Observed Climate 3 Climate Spectra and Stochastic Climate Models / by CLAUDE FRANKIGNOUL 3.1 Introduction 3.2 Spectral Characteristics of Atmospheric Variables 3.3 Stochastic Climate Model 3.4 Sea Surface Temperature Anomalies 3.5 Variability of Other Surface Variables 3.6 Variability in the Ocean Interior 3.7 Long Term Climate Changes 4 The Instrumental Data Record: Its Accuracy and Use in Attempts to Identify the "CO2 Signal" / by PHIL JONES 4.1 Introduction 4.2 Homogeneity 4.2.1 Changes in Instrumentation, Exposure and Measuring Techniques 4.2.2 Changes in Station Locations 4.2.3 Changes in Observation Time and the Methods Used to Calculate Monthly Averages 4.2.4 Changes in the Station Environment 4.2.5 Precipitation and Pressure Homogeneity 4.2.6 Data Homogenization Techniques 4.3 Surface Climate Analysis 4.3.1 Temperature 4.3.2 Precipitation 4.3.3 Pressure 4.4 The Greenhouse Detection Problem 4.4.1 Definition of Detection Vector and Data Used 4.4.2 Spatial Correlation Methods 4.5 Conclusions 5 Interpreting High-Resolution Proxy Climate Data - The Example of Dendr о climatology / by KEITH R. BRIFFA 5.1 Introduction 5.2 Background 5.3 Site Selection and Dating 5.4 Chronology Confidence 5.4.1 Chronology Signal 5.4.2 Expressed Population Signal 5.4.3 Subsample Signal Strength 5.4.4 Wider Relevance of Chronology Signal 5.5 "Standardization" and Its Implications for Judging Theoretical Signal 5.5.1 Theoretical Chronology Signal 5.5.2 Standardization of "Raw" Data Measurements 5.5.3 General Relevance of the "Standardization" Problem 5.6 Quantifying Climate Signals in Chronologies 5.6.1 Calibration of Theoretical Signal 5.6.2 Verification of Calibrated Relationships 5.7 Discussion 5.8 Conclusions 6 Analysing the Boreal Summer Relationship Between World wide Sea-Surface Temperature and Atmospheric Variability / by M. NEIL WARD 6.1 Introduction 6.2 Physical Basis for Sea-Surface Temperature Forcing of the Atmosphere 6.2.1 Tropics 6.2.2 Extratropics 6.3 Characteristic Patterns of Global Sea Surface Temperature: EOFs and Rotated EOFs 6.3.1 Introduction 6.3.2 SST Data 6.3.3 EOF method 6.3.4 EOFs p^→1 - p^→3 6.3.5 Rotation of EOFs 6.4 Characteristic Features in the Marine Atmosphere Associated with the SST Patterns p^→2, p ^→3 and p^→2R in JAS 6.4.1 Data and Methods 6.4.2 Patterns in the Marine Atmosphere Associated with EOF p^→2 6.4.3 Patterns in the Marine Atmosphere Associated with EOF p^→3 6.4.4 Patterns in the Marine Atmosphere Associated with Rotated EOF p^→2R 6.5 JAS Sahel Rainfall Links with Sea-Surface Temperature and Marine Atmosphere 6.5.1 Introduction 6.5.2 Rainfall in the Sahel of Africa 6.5.3 High Frequency Sahel Rainfall Variations 6.5.4 Low Frequency Sahel Rainfall Variations 6.6 Conclusions III Simulating and Predicting Climate 7 The Simulation of Weather Types in GCMs : A Regional Approach to Control-Run Validation / by KEITH R. BRIFFA 7.1 Introduction 7.2 The Lamb Catalogue 7.3 An "Objective" Lamb Classification 7.4 Details of the Selected GCM Experiments 7.5 Comparing Observed and GCM Climates 7.5.1 Lamb Types 7.5.2 Temperature and Precipitation 7.5.3 Relationships Between Circulation Frequencies and Temperature and Precipitation 7.5.4 Weather-Type Spell Lengths and Storm Frequencies 7.6 Conclusions 7.6.1 Specific Conclusions 7.6.2 General Conclusions 8 Statistical Analysis of GCM Output / by CLAUDE FRANKIGNOUL 8.1 Introduction 8.2 Univariate Analysis 8.2.1 The i-Test on the Mean of a Normal Variable 8.2.2 Tests for Autocorrelated Variables 8.2.3 Field Significance 8.2.4 Example: GCM Response to a Sea Surface Temperature Anomaly 8.3 Multivariate Analysis 8.3.1 Test on Means of Multidimensional Normal Variables 8.3.2 Application to Response Studies 8.3.3 Application to Model Testing and Intercomparison 9 Field Intercomparison / by ROBERT E . LIVEZEY 9.1 Introduction 9.2 Motivation for Permutation and Monte Carlo Testing 9.2.1 Local vs. Field Significance 9.2.2 Test Example 9.3 Permutation Procedures 9.3.1 Test Environment 9.3.2 Permutation (PP) and Bootstrap (BP) Procedures 9.3.3 Properties 9.3.4 Interdependence Among Field Variables 9.4 Serial Correlation 9.4.1 Local Probability Matching 9.4.2 Times Series and Monte Carlo Methods 9.4.3 Independent Samples 9.4.4 Conservatism 9.5 Concluding Remarks 10 The Evaluation of Forecasts / by ROBERT E. LIVEZEY 10.1 Introduction 10.2 Considerations for Objective Verification 10.2.1 Quantification 10.2.2 Authentication 10.2.3 Description of Probability Distributions 10.2.4 Comparison of Forecasts 10.3 Measures and Relationships: Categorical Forecasts 10.3.1 Contingency and Definitions 10.3.2 Some Scores Based on the Contingency Table 10.4 Measures and Relationships: Continuous Forecasts 10.4.1 Mean Squared Error and Correlation 10.4.2 Pattern Verification (the Murphy-Epstein Decomposition) 10.5 Hindcasts and Cross-Validation 10.5.1 Cross-Validation Procedure 10.5.2 Key Constraints in Cross-Validation 11 Stochastic Modeling of Precipitation with Applications to Climate Model Downscaling / by DENNIS LETTENMAIER 11.1 Introduction 11.2 Probabilistic Characteristics of Precipitation 11.3 Stochastic Models of Precipitation 11.3.1 Background 11.3.2 Applications to Global Change 11.4 Stochastic Precipitation Models with External Forcing 11.4.1 Weather Classification Schemes 11.4.2 Conditional Stochastic Precipitation Models 11.5 Applications to Alternative Climate Simulation 11.6 Conclusions IV Pattern Analysis 12 Teleconnections Patterns / by ANTONIO NAVARRA 12.1 Objective Teleconnections 12.2 Singular Value Decomposition 12.3 Teleconnections in the Ocean-Atmosphere System 12.4 Concluding Remarks 13 Spatial Patterns: EOFs and CCA / by HANS VON STORCH 13.1 Introduction 13.2 Expansion into a Few Guess Patterns 13.2.1 Guess Patterns, Expansion Coefficients and Explained Variance 13.2.2 Example: Temperature Distribution in the Mediterranean Sea 13.2.3 Specification of Guess Patterns 13.2.4 Rotation of Guess Patterns 13.3 Empirical Orthogonal Functions 13.3.1 Definition of EOFs 13.3.2 What EOFs Are Not Designed for 13.3.3 Estimating EOFs 13.3.4 Example: Central European Temperature 13.4 Canonical Correlation Analysis 13.4.1 Definition of Canonical Correlation Patterns 13.4.2 CCA in EOF Coordinates 13.4.3 Estimation: CCA of Finite Samples 13.4.4 Example: Central European Temperature 14 Patterns in Time : SSA and MSSA / by ROBERT VAUTARD 14.1 Introduction 14.2 Reconstruction and Approximation of Attractors 14.2.1 The Embedding Problem 14.2.2 Dimension and Noise 14.2.3 The Macroscopic Approximation 14.3 Singular Spectrum Analysis 14.3.1 Time EOFs 14.3.2 Space-Time EOFs 14.3.3 Oscillatory Pairs 14.3.4 Spectral Properties 14.3.5 Choice of the Embedding Dimension 14.3.6 Estimating Time and Space-Time Patterns 14.4 Climatic Applications of SSA 14.4.1 The Analysis of Intraseasonal Oscillations 14.4.2 Empirical Long-Range Forecasts Using MSSA Predictors 14.5 Conclusions 15 Multivariate Statistical Modeling : POP-Model as a First Order Approximation / by JIN-SONG VON STORCH 15.1 Introduction 15.2 The Cross-Covariance Matrix and the Cross-Spectrum Matrix 15.3 Multivariate AR(1) Process and its Cross-Covariance and Cross-Spectrum Matrices 15.3.1 The System Matrix A and its POPs 15.3.2 Cross-Spectrum Matrix in POP-Basis: Its Matrix Formulation 15.3.3 Cross-Spectrum Matrix in POP-Basis: Its Diagonal Components

Note: Enth. u.a.: Zur Bestimmung der Ausdehnung von Materialien am Abbe-Fizeauschen Dilatometer / von W. Bein

Note: Grundlagen der magnetischen Erscheinungen --- Allgemeine Theorie des Ferromagnetismus --- Die Vorgänge bei der Magnetisierung --- Die Begleiterscheinungen der Magnetisierung --- Der Einfluß verborgener magnetischer Vorgänge auf das mechanische Verhalten --- Die ferromagnetischen Werkstoffe und ihre Verwendung

Note: Contents 1 Introduction References Part I Molecular Stress Physiology 2 General Themes of Molecular Stress Physiology 2.1 Definitions and Concepts 2.1.1 Stress 2.1.2 Quantification of Stress 2.1.3 Escape–Resistance–Avoidance–Tolerance 2.1.4 Stress Responses–Acclimation–Adaptation 2.1.5 Filters Determining Species Distribution 2.2 Activation of Stress Tolerance and Avoidance Mechanisms 2.2.1 Stress Sensing and Signal Transduction 2.2.2 Transcriptional Control 2.2.3 Oxidative Stress 2.2.4 Long-Distance Stress Signalling 2.2.5 The Model System Arabidopsis thaliana 2.3 Stress and Growth Regulation 2.4 Molecular Basis of Escape and Anticipation of Stress 2.4.1 Circadian Rhythms 2.4.2 Anticipation of Seasonal Changes in Environmental Conditions 2.4.3 Developmental Switches Triggered by Favourable Conditions 2.4.4 Trans-Generational Stress Memory Summary References 3 Light 3.1 The Dual Significance of Light 3.2 Visible Light 3.2.1 Avoidance of Light Stress and Permanent or Dynamic Acclimation 3.2.2 Overexcitation and Damage to Photosynthetic Membranes. 3.2.3 Flexible Acclimation to Changes in Light Intensity 3.2.4 Continuous Light 3.2.5 Light Triggers Plant Adaptation and Acclimation to the Environment 3.3 UV-B Radiation 3.3.1 Ranges of Ultraviolet Radiation and Biological Activity 3.3.2 Ultraviolet-B Damage and Repair Mechanisms 3.3.3 Avoidance of Ultraviolet-B-Induced Stress 3.3.4 Ultraviolet-B Perception and Signalling 3.3.5 Crosstalk Between Ultraviolet-B and Visible Light Responses Summary References 4 Temperature 4.1 The Temperature Challenge 4.1.1 Temperature Dependence of Life 4.1.2 Plants as Poikilothermic Organisms 4.1.3 Variations in Temperature Range 4.1.4 Strategies to Cope with Temperature Fluctuations and Temperature Extremes 4.2 Cold Acclimation and Freezing Tolerance 4.2.1 Adjustment of Membrane Fluidity 4.2.2 Prevention of Photoinhibition 4.2.3 Cryoprotective Proteins 4.2.4 Control of Ice Formation 4.2.5 Signalling Networks Involved in Cold Acclimation 4.2.6 Freezing Avoidance and Freezing Tolerance in Tropical High Mountain Plants 4.3 Heat Stress 4.3.1 Heat Stress Avoidance 4.3.2 Acquired Thermotolerance 4.3.3 The Heat Shock Response 4.4 Temperature Sensing 4.4.1 Sensing of Extreme Temperatures 4.4.2 Sensing of Ambient Temperature Changes Summary References 5 Oxygen Deficiency 5.1 Conditions of Flooded Soil 5.2 Hypoxia-Induced Damage: Energy Metabolism of Plants Under Oxygen Deficiency 5.3 Natural Variation in the Ability to Endure Inundation by Water 5.4 Adaptations to Flooding-Prone Habitats 5.4.1 Anatomical–Morphological Adaptations and Modifications 5.4.2 Biochemical Modifications 5.5 Sensing of Flooding and Ensuing Signal Transduction 5.5.1 Ethylene Signal Transduction 5.5.2 Oxygen Sensing 5.6 Regulation of Avoidance and Tolerance Strategies Summary References 6 Water Deficiency (Drought) 6.1 The Properties of Water 6.2 Water Acquisition and Movement: Cellular Aspects 6.2.1 The Water Potential 6.2.2 Facilitation of Intercellular and Intracellular Water Flow: Aquaporins 6.3 Drought Stress Responses: Avoidance and Tolerance 6.3.1 Control of the Osmotic Potential 6.3.2 Protective Proteins 6.3.3 Regulation of the Stomatal Aperture 6.4 Acclimation of Growth 6.4.1 Inhibition of Shoot Growth 6.4.2 Stimulation of Root Growth 6.5 Sensing of Water Status and Signal Transduction 6.5.1 Sensing of Water Status 6.5.2 ABA Signal Transduction 6.5.3 ABA-Independent Signalling 6.6 Photosynthesis Variants with Improved Water Use Efficiency 6.6.1 C4 Photosynthesis 6.6.2 Evolution of C 4 Photosynthesis 6.6.3 Crassulacean Acid Metabolism 6.6.4 Evolution of Crassulacean Acid Metabolism Photosynthesis Summary References 7 Adverse Soil Mineral Availability 7.1 Mineral Nutrients 7.2 The Mineral Nutrition Challenge 7.2.1 Elements in the Soil 7.2.2 Element Toxicity 7.3 Nutrient Acquisition and Responses to Nutrient Scarcity 7.3.1 Modulation of Nutrient Availability 7.3.2 Cellular Ion Transport Mechanisms 7.3.3 Modulation of Nutrient Uptake in Response to Deficiency 7.3.4 Intracellular Transport and Cellular Aspects of Long-Distance Transport 7.3.5 Plasticity of Root Architecture and Responses to Nutrient Deficiency 7.3.6 Sensing of Nutrient Availability and Nutrient Status . 7.4 Nutrient Acquisition Symbioses 7.4.1 Mycorrhizae 7.4.2 Nitrogen Fixation 7.4.3 The Common Sym Pathway 7.5 Responses to Element Toxicity and Tolerance Mechanisms 7.5.1 Essential Metal Toxicity and Tolerance 7.5.2 Metal Hyperaccumulators as Models for Adaptation to Extreme Environments 7.5.3 Sodium Toxicity 7.5.4 Aluminium Toxicity and Tolerance 7.5.5 Non-Essential Toxic Metals Summary References 8 Biotic Stress 8.1 Plant Disease Caused by Pathogens 8.1.1 Types of Pathogens: Viruses, Bacteria, Fungi, Oomycetes and Nematodes 8.1.2 Pathogenicity Mechanisms 8.2 Plant Defences Against Microbial Pathogens and Viruses 8.2.1 Preformed Defences Against Bacteria, Fungi and Oomycetes 8.2.2 Inducible Local Defences 8.2.3 Inducible Systemic Resistance 8.2.4 Defence Against Viruses via Gene Silencing 8.3 Herbivory 8.3.1 Constitutive Defences 8.3.2 Inducible Defences Against Herbivores 8.3.3 How Plant–Herbivore Interactions Drive Genetic Diversity 8.4 Parasitic Plants 8.5 Allelopathy Summary References Part II Physiological and Biophysical Plant Ecology 9 Thermal Balance of Plants and Plant Communities 9.1 Energy Balance of the Atmospheric Boundary Layer 9.2 Microclimate Near the Ground Surface 9.2.1 Daily Changes in Temperature Near the Ground 9.2.2 Modification of Environmental Radiation and Temperature by Abiotic Factors 9.2.3 Modification of the Radiation Budget and Temperature by Biotic Factors 9.3 Energy Balance of Leaves 9.4 Acclimation and Adaptation to Temperature Extremes 9.4.1 Acclimation and Adaptation to High Temperatures 9.4.2 Acclimation and Adaptation to Low Temperatures Summary References 10 Water Relations 10.1 Water as an Environmental Factor 10.1.1 Water Use by Plants and Animals 10.1.2 Availability of Water on Earth 10.1.3 Drivers of Water Flow Between the Soil and the Atmosphere 10.2 Water Transport from the Soil to the Plant 10.2.1 Water Uptake 10.2.2 Xylem Water Transport 10.2.3 Phloem Water Transport 10.3 Transpiration 10.3.1 Stomatal Responses to Plant-Internal Factors 10.3.2 Stomatal Responses to Environmental Factors Summary References 11 Nutrient Relations 11.1 Availability of Soil Nutrients and Ion Use 11.1.1 Plant Nutrients 11.1.2 Availability of Nutrients in Soil 11.1.3 General Aspects of Plant Nutrition 11.1.4 Nutrient Deficiency and Excess 11.2 Nitrogen Nutrition 11.2.1 Nitrogen in Plant Metabolism 11.2.2 Nitrogen Uptake and Nutrition 11.2.3 Nitrogen Requirements for Growth 11.2.4 Nitrogen Storage 11.2.5 Insectivorous Plants 11.2.6 Nitrogen Deficiency and Excess 11.3 Sulphur Nutrition 11.3.1 Sulphur in Plant Metabolism 11.3.2 Sulphur Uptake and Plant Requirements 11.3.3 Indicators of Sulphur Deficiency and Excess 11.4 Phosphate Nutrition 11.4.1 Phosphorus in Plant Metabolism 11.4.2 Phosphate Uptake and Plant Requirements 11.4.3 Indicators of Phosphorus Deficiency and Excess 11.5 Alkaline Cation Nutrition 11.5.1 Magnesium 11.5.2 Calcium 11.5.3 Potassium Summary References 12 Carbon Relations 12.1 Photosynthetic CO2 Uptake: Physiological and Physical Basis 12.1.1 Photosynthesis as a Diffusion Process 12.1.2 Evolution of C 3, C4 and Crassulacean Acid Metabolism Plant Species 12.2 Photosynthesis Models and Calculation of 13C/12C Fluxes (Contribution by A. Arneth) 12.2.1 RubisCO-Limited or RuBP-Saturated Rate (Av) 12.2.2 RuBP Regeneration–Dependent and Electron Transport–Limiting Rate (Aj) 12.2.3 Supply of CO 2 Through Stomata 12.2.4 13C/12C Discrimination 12.3 Specific Leaf Area, Nitrogen Concentrations and Photosynthetic Capacity 12.3.1 Specific Leaf Area 12.3.2 Maximum Rates of CO2 Assimilation 12.4 Response of Photosynthesis to Environmental Variables 12.4.1 Light Response of CO 2 Assimilation 12.4.2 Temperature Response of CO2 Assimilation 12.4.3 Relative Air Humidi