Mathematical macroevolution in diatom research
by
 
Pappas, Janice L., author.

Title
Mathematical macroevolution in diatom research

Author
Pappas, Janice L., author.

ISBN
9781119750666
 
9781119750673

Physical Description
1 online resource.

Series
Diatoms : biology and applications

Contents
Cover -- Title Page -- Copyright Page -- Contents -- List of Figures -- List of Tables -- Preface -- Acknowledgments -- Prologue -- Introductory Remarks -- Part I: Morphological Measurement in Macroevolutionary Distribution Analysis -- Chapter 1 Diatom Bauplan, As Modified 2D Valve Face Shapes of a 3D Capped Cylinder and Valve Shape Distribution -- 1.1 Introduction -- 1.1.1 Analytical Valve Shape Geometry -- 1.1.2 Valve Shape Constructs of Diatom Genera -- 1.2 Methods: A Test of Recurrent Diatom Valve Shapes -- 1.2.1 Legendre Polynomials, Hypergeometric Distribution, and Probabilities of Valve Shapes -- 1.2.2 Multivariate Hypergeometric Distribution of Diatom Valve Shapes as Recurrent Forms -- 1.3 Results -- 1.4 Discussion -- 1.4.1 Valve Shape Probability Distribution -- 1.4.2 Hypergeometric Functions and Other Shape Outline Methods -- 1.4.3 Application: Valve Shape Changes and Diversity during the Cenozoic -- 1.4.4 Diatom Valve Shape Distribution: Other Potential Studies -- 1.5 Summary and Future Research -- 1.6 Appendix -- 1.7 References -- Chapter 2 Comparative Surface Analysis and Tracking Changes in Diatom Valve Face Morphology -- 2.1 Introduction -- 2.1.1 Image Matching of Surface Features -- 2.1.2 Image Matching: Diatoms -- 2.2 Purpose of this Study -- 2.3 Background on Image and Surface Geometry -- 2.3.1 The Geometry of the Digital Image and the Jacobian -- 2.3.2 The Geometry of the Diatom 3D Surface Model and the Jacobian -- 2.3.3 The Image Gradient and Jacobian -- 2.4 Image Matching Kinematics via the Jacobian -- 2.4.1 Position and Motion: The Kinematics of Image Matching -- 2.4.2 Displacement and Implicit Functions -- 2.4.3 Displacement and Motion: Position and Orientation -- 2.4.4 Surface Feature Matching via the Jacobian -- 2.4.5 The Jacobian of Whole Surface Matching -- 2.5 Methods.
 
2.5.1 Fiducial Outcomes of Image Matching of Surface Features -- 2.6 Results -- 2.6.1 Surface Feature Image Matching and the Jacobian -- 2.6.2 Whole Valve Images, Matching of Crest Lines and the Jacobian -- 2.6.3 Image Matching of more than Two Images -- 2.7 Discussion -- 2.7.1 Utility of Jacobian-Based Methods and Image Matching -- 2.7.2 The Image Jacobian and Rotation in A Reference Frame: Potential Application to Diatom Images -- 2.7.3 Deformation and Registration of Image Surfaces: An Alternative Jacobian Calculation -- 2.8 Summary and Future Research -- 2.9 References -- Chapter 3 Diatom Valve Morphology, Surface Gradients and Natural Classification -- 3.1 Introduction -- 3.2 Purposes of this Study -- 3.2.1 The Genus Navicula -- 3.3 Methods -- 3.3.1 Naviculoid Diatom Surface Analysis -- 3.3.2 Gradients of Digital Image Surfaces -- 3.3.3 Histogram of Oriented Gradients and Surface Representation -- 3.3.4 Application to Diatom Valve Face Digital Images -- 3.3.5 Support Vector Regression and Classification -- 3.3.6 Using HOG as Combination Gradient Magnitude and Direction Input Data for SVR -- 3.3.7 Computational Efficiency and Cost -- 3.4 Diatom Valve Surface Morphological Analysis -- 3.4.1 SVR Model Fit of Naviculoid Taxa -- 3.4.2 Valve Surface Morphological Classification and Regression of Naviculoid Diatoms -- 3.5 Results -- 3.5.1 HOG Data Analysis -- 3.5.2 Goodness-of-Fit SVR Model Using 4D HOG Data from Naviculoid LMs -- 3.5.3 SVR of Naviculoid 2D HOG Data -- 3.5.4 Second Round of SVR Analysis of Remaining Naviculoid 2D HOG Data -- 3.5.5 Last Round of SVR Analysis of Remaining Naviculoid 2D HOG Data -- 3.5.6 Classification Results from SVR Analysis of Naviculoid Taxa -- 3.6 Discussion -- 3.6.1 Characteristics of SVM and SVR -- 3.6.2 Advantages in Using HOG Data and SVR -- 3.6.3 Potential Utility of HOG Data and SVR in Diatom Research.
 
3.7 Summary and Future Research -- 3.8 References -- Part II: Macroevolutionary Systems Analysis of Diatoms -- Chapter 4 Probabilistic Diatom Adaptive Radiation in the Southern Ocean -- 4.1 Introduction -- 4.1.1 Diatoms in the SO -- 4.1.2 Chaetocerotales and Bacillariales Speciation Rates -- 4.1.3 Chaetocerotales and Bacillariales: Fe, NO3 and SiO2 Availability in the SO -- 4.1.4 Modeling Diatom Adaptive Radiation -- 4.2 Purposes of this Study -- 4.3 Mathematical Modeling of Adaptive Radiation -- 4.3.1 Quantitative Phenotypic Trait Measurement and Adaptive Radiation -- 4.3.2 Adaptive Radiation: Implicit Stochastic Models -- 4.3.3 Adaptive Radiation Models: Time Evolution of a Stochastic System -- 4.3.4 Adaptive Radiation as an Optimal Control Problem -- 4.3.5 Exit Probabilities as Boundaries for Completion of Adaptive Radiation -- 4.3.6 Exit Times for the Adaptive Radiation Process -- 4.3.7 Adaptive Radiation: A Study of Southern Ocean Diatoms and Niche Filling -- 4.4 Methods -- 4.4.1 Niche Filling and Adaptive Radiation -- 4.5 Results -- 4.5.1 Ecological Niche Preference, Photosynthesis Efficiency, Nutrient Enrichment or Limitation, and Adaptive Radiation -- 4.5.2 Ecological Niche Preference and Photosynthesis Efficiency Rankings Representing Niche Filling as Adaptive Radiation -- 4.5.3 Niche Filling and the Lyapunov modified OU Adaptive Radiation Model -- 4.6 Discussion -- 4.6.1 More on Specifications for Adaptive Radiation Modeling -- 4.6.2 Diatom Adaptive Radiation Short-Term Trends as a Result of Niche Filling in the SO -- 4.6.3 Other Potential Mathematical Modeling Regimes of Adaptive Radiation -- 4.7 Summary and Future Directions -- 4.7.1 Caveats in Adaptive Radiation Studies to be Considered -- 4.8 References -- Chapter 5 Cenozoic Diatom Origination and Extinction and Influences on Diversity -- 5.1 Introduction.
 
5.1.1 Cenozoic Diatoms and Environmental Conditions -- 5.1.2 Diatom Diversity during the Cenozoic -- 5.1.3 Diversity as a Result of the Frequency of Origination and Extinction Events -- 5.2 Purposes of this Study -- 5.3 Methods and Background -- 5.3.1 Reconstructed Diatom Origination, Extinction and Diversity during the Cenozoic -- 5.3.2 Cumulative Functions and the Frequency of Cenozoic Origination and Extinction -- 5.3.3 Origination and Extinction: Heaviside Functions and Switching -- 5.3.4 Origination and Extinction as a Sequence of Steps and Accumulated Switches during the Cenozoic -- 5.3.5 Piecewise Continuous Switching via the Laplace Transform of the Heaviside Functions -- 5.3.6 Overlapping of Origination and Extinction: A Convolution Product -- 5.3.7 Non-Overlapping Origination and Extinction: A Poisson Process -- 5.3.8 Test of Switch Reversibility, Cenozoic Events and a Lyapunov Function -- 5.3.9 Origination and Extinction: Relation to Diversity -- 5.4 Results -- 5.4.1 Cumulative Frequency of Cenozoic Diatom Origination and Extinction Events -- 5.4.2 Switching from Diatom Origination to Extinction over the Cenozoic -- 5.4.3 Origination and Extinction Sequential Steps and Accumulated Switches during the Cenozoic -- 5.4.4 Overlapping via a Convolution Product of Origination and Extinction -- 5.4.5 Origination and Extinction as Poisson Processes -- 5.4.6 Test of Origination and Extinction Switches: Stochastic or Deterministic Chaos? -- 5.4.7 Diversity and Its Relation to Origination and Extinction for Cenozoic Diatoms -- 5.5 Discussion -- 5.5.1 Diversity and the Effects from Origination and Extinction of Cenozoic Diatoms -- 5.5.2 Cenozoic Events and Diatom Diversity, Origination and Extinction -- 5.5.3 Origination and Extinction Related to Diversity: Markov Chain, Martingale, Ergodic Processes, and Lyapunov Functions.
 
5.6 Summary and Future Research -- 5.7 References -- Chapter 6 Diatom Food Web Dynamics and Hydrodynamics Influences in the Arctic Ocean -- 6.1 Introduction -- 6.2 Purposes of this Study -- 6.3 Background on Arctic Ocean Diatoms -- 6.3.1 Diatoms and their Relation to Sea Ice -- 6.3.2 Sea Ice, Upwelling and Diatom Productivity -- 6.3.3 Diatom Lipid Content as a Proxy for Biomass -- 6.3.4 Diatom Biomass and the Hydrodynamics of Upwelling -- 6.4 Lattice Boltzmann Model -- 6.5 Lattice Boltzmann Model and Hydrodynamics -- 6.5.1 Upwelling and Buoyancy -- 6.5.2 Collisions and Streaming Densities of Diatom Genera during Upwelling -- 6.5.3 Buoyancy and Ice -- 6.5.4 Upwelling and the Splitting of the Cylindrical Rotation of Currents -- 6.6 Lattice Boltzmann Model: Diatom Bloom Density, Sea Ice and Upwelling -- 6.7 Lattice Boltzmann Model: Specifications for Simulation -- 6.7.1 Overview of 2D LBM with Respect to Diatom Genera Lattice Nodes -- 6.7.2 Buoyancy, Upwelling and Diatom Blooms in LBM via ñ and u -- 6.8 Methods -- 6.9 Results -- 6.10 Discussion -- 6.10.1 Arctic Diatom Food Web Dynamics: Other Potential Outcomes -- 6.10.2 Diatom Blooms: Influences over Time and Space -- 6.11 Summary and Future Research -- 6.12 References -- Part III: General and Special Functions in Diatom Macroevolutionary Spaces -- Chapter 7 Diatom Clade Biogeography: Climate Influences, Phenotypic Integration and Endemism -- 7.1 Introduction -- 7.1.1 Biogeography and Climate -- 7.1.2 Mapping Biogeographic Patterns -- 7.1.3 Biogeography as an Optimization Problem -- 7.1.4 Biogeographic Pattern and Spatial Rate of Change -- 7.1.5 Biogeography, Phenotypic Integration and Phenotypic Novelty -- 7.2 Purposes of this Study -- 7.3 Methods -- 7.3.1 Freshwater Diatom Dispersal Biogeography and the Traveling Salesman Problem.

Abstract
Buy this book to learn how to use mathematics in macroevolution research and apply mathematics to study complex biological problems. This book contains recent research in mathematical and analytical studies on diatoms. These studies reflect the complex and intricate nature of the problems being analyzed and the need to use mathematics as an aid in finding solutions. Diatoms are important components of marine food webs, the silica and carbon cycles, primary productivity, and carbon sequestration. Their uniqueness as glass-encased unicells and their presence throughout geologic history exemplifies the need to better understand such organisms. Explicating the role of diatoms in the biological world is no more urgent than their role as environmental and climate indicators, and as such, is aided by the mathematical studies in this book. The volume contains twelve original research papers as chapters. Macroevolutionary science topics covered are morphological analysis, morphospace analysis, adaptation, food web dynamics, origination-extinction and diversity, biogeography, life cycle dynamics, complexity, symmetry, and evolvability. Mathematics used in the chapters include stochastic and delay differential and partial differential equations, differential geometry, probability theory, ergodic theory, group theory, knot theory, statistical distributions, chaos theory, and combinatorics. Applied sciences used in the chapters include networks, machine learning, robotics, computer vision, image processing, pattern recognition, and dynamical systems. The volume covers a diverse range of mathematical treatments of topics in diatom research.

Local Note
John Wiley and Sons

Subject Term
Microalgae -- Research.
 
Microalgues -- Recherche.

Electronic Access
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119750673


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book598552-1001QK568 .M52 P37 2023Wiley E-Kitap Koleksiyonu