Modeling Evolution

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A Biologist's Guide to Mathematical Modeling in Ecology and Evolution

Author : Sarah P. Otto
Publisher : Princeton University Press
ISBN 13 : 1400840910
Total Pages : 745 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis A Biologist's Guide to Mathematical Modeling in Ecology and Evolution by : Sarah P. Otto

Download or read book A Biologist's Guide to Mathematical Modeling in Ecology and Evolution written by Sarah P. Otto and published by Princeton University Press. This book was released on 2011-09-19 with total page 745 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental questions about how biological systems function and change over time, the modern biologist is as likely to rely on sophisticated mathematical and computer-based models as traditional fieldwork. In this book, Sarah Otto and Troy Day provide biology students with the tools necessary to both interpret models and to build their own. The book starts at an elementary level of mathematical modeling, assuming that the reader has had high school mathematics and first-year calculus. Otto and Day then gradually build in depth and complexity, from classic models in ecology and evolution to more intricate class-structured and probabilistic models. The authors provide primers with instructive exercises to introduce readers to the more advanced subjects of linear algebra and probability theory. Through examples, they describe how models have been used to understand such topics as the spread of HIV, chaos, the age structure of a country, speciation, and extinction. Ecologists and evolutionary biologists today need enough mathematical training to be able to assess the power and limits of biological models and to develop theories and models themselves. This innovative book will be an indispensable guide to the world of mathematical models for the next generation of biologists. A how-to guide for developing new mathematical models in biology Provides step-by-step recipes for constructing and analyzing models Interesting biological applications Explores classical models in ecology and evolution Questions at the end of every chapter Primers cover important mathematical topics Exercises with answers Appendixes summarize useful rules Labs and advanced material available

Modeling Evolution

Author : Derek A. Roff
Publisher : Oxford University Press
ISBN 13 : 0199571147
Total Pages : 464 pages
Book Rating : 4.1/5 (995 download)

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Book Synopsis Modeling Evolution by : Derek A. Roff

Download or read book Modeling Evolution written by Derek A. Roff and published by Oxford University Press. This book was released on 2010 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer modeling is now an integral part of research in evolutionary biology. This book outlines how evolutionary questions are formulated and how, in practice, they can be resolved by analytical and numerical methods.

Modelling Evolution

Author : Eugene Earnshaw-Whyte
Publisher : Routledge
ISBN 13 : 1315294036
Total Pages : 252 pages
Book Rating : 4.3/5 (152 download)

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Book Synopsis Modelling Evolution by : Eugene Earnshaw-Whyte

Download or read book Modelling Evolution written by Eugene Earnshaw-Whyte and published by Routledge. This book was released on 2018-07-06 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolution by natural selection explains the tree of life and the complex adaptations found throughout nature. The power and versatility of evolutionary explanations have proved tempting to scientists outside of biology, but adapting evolutionary concepts to new domains has been challenging. Even within biology, there are many difficult questions and problem cases that face evolutionary theory. Modelling Evolution offers a new, general account of evolution by natural selection that identifies the essential features of evolutionary models that transcend any particular discipline. Evolution by natural selection in its broad sense is the systemic advantage of a type, in contrast to the narrow definition using heritable variation in fitness. This account is explained, contextualised and applied to a variety of questions in both biology and the social sciences. Offering an accessible and comprehensive account of evolution that is applicable both to biology and the broader social sciences, Modelling Evolution will appeal to students and researchers interested in fields such as biology, economics, sociology, history, and psychology.

Mathematical Models of Social Evolution

Author : Richard McElreath
Publisher : University of Chicago Press
ISBN 13 : 0226558282
Total Pages : 429 pages
Book Rating : 4.2/5 (265 download)

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Book Synopsis Mathematical Models of Social Evolution by : Richard McElreath

Download or read book Mathematical Models of Social Evolution written by Richard McElreath and published by University of Chicago Press. This book was released on 2008-09-15 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last several decades, mathematical models have become central to the study of social evolution, both in biology and the social sciences. But students in these disciplines often seriously lack the tools to understand them. A primer on behavioral modeling that includes both mathematics and evolutionary theory, Mathematical Models of Social Evolution aims to make the student and professional researcher in biology and the social sciences fully conversant in the language of the field. Teaching biological concepts from which models can be developed, Richard McElreath and Robert Boyd introduce readers to many of the typical mathematical tools that are used to analyze evolutionary models and end each chapter with a set of problems that draw upon these techniques. Mathematical Models of Social Evolution equips behaviorists and evolutionary biologists with the mathematical knowledge to truly understand the models on which their research depends. Ultimately, McElreath and Boyd’s goal is to impart the fundamental concepts that underlie modern biological understandings of the evolution of behavior so that readers will be able to more fully appreciate journal articles and scientific literature, and start building models of their own.

Modeling Biology

Author : Manfred Dietrich Laubichler
Publisher : MIT Press
ISBN 13 : 026212291X
Total Pages : 409 pages
Book Rating : 4.2/5 (621 download)

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Book Synopsis Modeling Biology by : Manfred Dietrich Laubichler

Download or read book Modeling Biology written by Manfred Dietrich Laubichler and published by MIT Press. This book was released on 2007 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experts examine new modeling strategies for the interpretation of biological data and their integration into the conceptual framework of theoretical biology, detailing approaches that focus on morphology, development, behavior, or evolution. Abstract and conceptual models have become an indispensable tool for analyzing the flood of highly detailed empirical data generated in recent years by advanced techniques in the biosciences. Scientists are developing new modeling strategies for analyzing data, integrating results into the conceptual framework of theoretical biology, and formulating new hypotheses. In Modeling Biology, leading scholars investigate new modeling strategies in the domains of morphology, development, behavior, and evolution. The emphasis on models in the biological sciences has been accompanied by a new focus on conceptual issues and a more complex understanding of epistemological concepts. Contributors to Modeling Biology discuss models and modeling strategies from the perspectives of philosophy, history, and applied mathematics. Individual chapters discuss specific approaches to modeling in such domains as biological form, development, and behavior. Finally, the book addresses the modeling of these properties in the context of evolution, with a particular emphasis on the emerging field of evolutionary developmental biology (or evo-devo). Contributors Giorgio A. Ascoli, Chandrajit Bajaj, James P. Collins, Luciano da Fontoura Costa, Kerstin Dautenhahn, Nigel R. Franks, Scott Gilbert, Marta Ibañes Miguez, Juan Carlos Izpisúa-Belmonte, Alexander S. Klyubin, Thomas J. Koehnle, Manfred D. Laubichler, Sabina Leonelli, James A. R. Marshall, George R. McGhee Jr., Gerd B. Müller, Chrystopher L. Nehaniv, Karl J. Niklas, Lars Olsson, Eirikur Palsson, Daniel Polani, Diego Rasskin Gutman, Hans-Jörg Rheinberger, Alexei V. Samsonovich, Jeffrey C. Schank, Harry B. M. Uylings, Jaap van Pelt, Iain Werry

Models and Algorithms for Genome Evolution

Author : Cedric Chauve
Publisher : Springer Science & Business Media
ISBN 13 : 1447152980
Total Pages : 329 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Models and Algorithms for Genome Evolution by : Cedric Chauve

Download or read book Models and Algorithms for Genome Evolution written by Cedric Chauve and published by Springer Science & Business Media. This book was released on 2013-09-17 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authoritative text/reference presents a review of the history, current status, and potential future directions of computational biology in molecular evolution. Gathering together the unique insights of an international selection of prestigious researchers, this must-read volume examines the latest developments in the field, the challenges that remain, and the new avenues emerging from the growing influx of sequence data. These viewpoints build upon the pioneering work of David Sankoff, one of the founding fathers of computational biology, and mark the 50th anniversary of his first scientific article. The broad spectrum of rich contributions in this essential collection will appeal to all computer scientists, mathematicians and biologists involved in comparative genomics, phylogenetics and related areas.

An Introduction to Methods and Models in Ecology, Evolution, and Conservation Biology

Author : Stanton Braude
Publisher : Princeton University Press
ISBN 13 : 1400835453
Total Pages : 288 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis An Introduction to Methods and Models in Ecology, Evolution, and Conservation Biology by : Stanton Braude

Download or read book An Introduction to Methods and Models in Ecology, Evolution, and Conservation Biology written by Stanton Braude and published by Princeton University Press. This book was released on 2010-01-04 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: An innovative introduction to ecology and evolution This unique textbook introduces undergraduate students to quantitative models and methods in ecology, behavioral ecology, evolutionary biology, and conservation. It explores the core concepts shared by these related fields using tools and practical skills such as experimental design, generating phylogenies, basic statistical inference, and persuasive grant writing. And contributors use examples from their own cutting-edge research, providing diverse views to engage students and broaden their understanding. This is the only textbook on the subject featuring a collaborative "active learning" approach that emphasizes hands-on learning. Every chapter has exercises that enable students to work directly with the material at their own pace and in small groups. Each problem includes data presented in a rich array of formats, which students use to answer questions that illustrate patterns, principles, and methods. Topics range from Hardy-Weinberg equilibrium and population effective size to optimal foraging and indices of biodiversity. The book also includes a comprehensive glossary. In addition to the editors, the contributors are James Beck, Cawas Behram Engineer, John Gaskin, Luke Harmon, Jon Hess, Jason Kolbe, Kenneth H. Kozak, Robert J. Robertson, Emily Silverman, Beth Sparks-Jackson, and Anton Weisstein. Provides experience with hypothesis testing, experimental design, and scientific reasoning Covers core quantitative models and methods in ecology, behavioral ecology, evolutionary biology, and conservation Turns "discussion sections" into "thinking labs" Professors: A supplementary Instructor's Manual is available for this book. It is restricted to teachers using the text in courses. For information on how to obtain a copy, refer to: http://press.princeton.edu/class_use/solutions.html

Individual-Based Models of Cultural Evolution

Author : Alberto Acerbi
Publisher : Routledge
ISBN 13 : 9781003282068
Total Pages : 216 pages
Book Rating : 4.2/5 (82 download)

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Book Synopsis Individual-Based Models of Cultural Evolution by : Alberto Acerbi

Download or read book Individual-Based Models of Cultural Evolution written by Alberto Acerbi and published by Routledge. This book was released on 2022 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Individual-Based Models of Cultural Evolution shows readers how to create individual-based models of cultural evolution using the programming language R. The field of cultural evolution has emerged in the last few decades as a thriving, interdisciplinary effort to understand cultural change and cultural diversity within an evolutionary framework and using evolutionary tools, concepts and methods"--

Probability Models for DNA Sequence Evolution

Author : Rick Durrett
Publisher : Springer Science & Business Media
ISBN 13 : 1475762852
Total Pages : 246 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Probability Models for DNA Sequence Evolution by : Rick Durrett

Download or read book Probability Models for DNA Sequence Evolution written by Rick Durrett and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: "What underlying forces are responsible for the observed patterns of variability, given a collection of DNA sequences?" In approaching this question a number of probability models are introduced and anyalyzed.Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies that illustrate the use of these results.

Landscape Erosion and Evolution Modeling

Author : Russell S. Harmon
Publisher : Springer Science & Business Media
ISBN 13 : 1461505755
Total Pages : 120 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Landscape Erosion and Evolution Modeling by : Russell S. Harmon

Download or read book Landscape Erosion and Evolution Modeling written by Russell S. Harmon and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Landscapes are characterized by a wide variation, both spatially and temporally, of tolerance and response to natural processes and anthropogenic stress. These tolerances and responses can be analyzed through individual landscape parameters, such as soils, vegetation, water, etc., or holistically through ecosystem or watershed studies. However, such approaches are both time consuming and costly. Soil erosion and landscape evolution modeling provide a simulation environment in which both the short- and long-term consequences of land-use activities and alternative land use strategies can be compared and evaluated. Such models provide the foundation for the development of land management decision support systems. Landscape Erosion and Evolution Modeling is a state-of-the-art, interdisciplinary volume addressing the broad theme of soil erosion and landscape evolution modeling from different philosophical and technical approaches, ranging from those developed from considerations of first-principle soil/water physics and mechanics to those developed empirically according to sets of behavioral or empirical rules deriving from field observations and measurements. The validation and calibration of models through field studies is also included. This volume will be essential reading for researchers in earth, environmental and ecosystem sciences, hydrology, civil engineering, forestry, soil science, agriculture and climate change studies. In addition, it will have direct relevance to the public and private land management communities.

Mathematical Models of Social Evolution

Author : Richard McElreath
Publisher : University of Chicago Press
ISBN 13 : 9780226558264
Total Pages : 428 pages
Book Rating : 4.5/5 (582 download)

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Book Synopsis Mathematical Models of Social Evolution by : Richard McElreath

Download or read book Mathematical Models of Social Evolution written by Richard McElreath and published by University of Chicago Press. This book was released on 2007-03-15 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last several decades, mathematical models have become central to the study of social evolution, both in biology and the social sciences. But students in these disciplines often seriously lack the tools to understand them. A primer on behavioral modeling that includes both mathematics and evolutionary theory, Mathematical Models of Social Evolution aims to make the student and professional researcher in biology and the social sciences fully conversant in the language of the field. Teaching biological concepts from which models can be developed, Richard McElreath and Robert Boyd introduce readers to many of the typical mathematical tools that are used to analyze evolutionary models and end each chapter with a set of problems that draw upon these techniques. Mathematical Models of Social Evolution equips behaviorists and evolutionary biologists with the mathematical knowledge to truly understand the models on which their research depends. Ultimately, McElreath and Boyd’s goal is to impart the fundamental concepts that underlie modern biological understandings of the evolution of behavior so that readers will be able to more fully appreciate journal articles and scientific literature, and start building models of their own.

Model-Based Development and Evolution of Information Systems

Author : John Krogstie
Publisher : Springer Science & Business Media
ISBN 13 : 1447129369
Total Pages : 452 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Model-Based Development and Evolution of Information Systems by : John Krogstie

Download or read book Model-Based Development and Evolution of Information Systems written by John Krogstie and published by Springer Science & Business Media. This book was released on 2012-05-17 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces and describes in detail the SEQUAL framework for understanding the quality of models and modeling languages, including the numerous specializations of the generic framework, and the various ways in which this can be used for different applications. Topics and features: contains case studies, chapter summaries, review questions, problems and exercises throughout the text, in addition to Appendices on terminology and abbreviations; presents a thorough introduction to the most important concepts in conceptual modeling, including the underlying philosophical outlook on the quality of models; describes the basic tasks and model types in information systems development and evolution, and the main methodologies for mixing different phases of information system development; provides an overview of the general mechanisms and perspectives used in conceptual modeling; predicts future trends in technological development, and discusses how the role of modeling can be envisaged in this landscape.

Probabilistic Models of Population Evolution

Author : Étienne Pardoux
Publisher : Springer
ISBN 13 : 3319303287
Total Pages : 129 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Probabilistic Models of Population Evolution by : Étienne Pardoux

Download or read book Probabilistic Models of Population Evolution written by Étienne Pardoux and published by Springer. This book was released on 2016-06-17 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This expository book presents the mathematical description of evolutionary models of populations subject to interactions (e.g. competition) within the population. The author includes both models of finite populations, and limiting models as the size of the population tends to infinity. The size of the population is described as a random function of time and of the initial population (the ancestors at time 0). The genealogical tree of such a population is given. Most models imply that the population is bound to go extinct in finite time. It is explained when the interaction is strong enough so that the extinction time remains finite, when the ancestral population at time 0 goes to infinity. The material could be used for teaching stochastic processes, together with their applications. Étienne Pardoux is Professor at Aix-Marseille University, working in the field of Stochastic Analysis, stochastic partial differential equations, and probabilistic models in evolutionary biology and population genetics. He obtained his PhD in 1975 at University of Paris-Sud.

Evolutionary Computation for Modeling and Optimization

Author : Daniel Ashlock
Publisher : Springer Science & Business Media
ISBN 13 : 0387319093
Total Pages : 578 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis Evolutionary Computation for Modeling and Optimization by : Daniel Ashlock

Download or read book Evolutionary Computation for Modeling and Optimization written by Daniel Ashlock and published by Springer Science & Business Media. This book was released on 2006-04-04 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concentrates on developing intuition about evolutionary computation and problem solving skills and tool sets. Lots of applications and test problems, including a biotechnology chapter.

Animal Models in Light of Evolution

Author : Niall Shanks
Publisher : Universal-Publishers
ISBN 13 : 1599425025
Total Pages : 445 pages
Book Rating : 4.5/5 (994 download)

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Book Synopsis Animal Models in Light of Evolution by : Niall Shanks

Download or read book Animal Models in Light of Evolution written by Niall Shanks and published by Universal-Publishers. This book was released on 2009 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: The central concern of this book is with the "prediction problem" in biomedical research. In particular, the authors examine the use of animal models to predict human responses in drug and disease research. The arguments discussed are drawn from both biological and biomedical theory (with numerous examples and case studies drawn from evolutionary biology, complex systems theory, oncology, teratology, and AIDS research), and analyses of empirical evidence (concerning, for example, data on intra- and inter-species differences revealed by recent results from genome analyses of various species, human population studies, and statistical studies of the predictive utility of animal models). This book comes to the unique conclusion that while animals can be successfully used for many endeavors in science such as basic and comparative research, they cannot be used to predict drug and disease response in humans. The arguments presented are rooted in the history, philosophy, and methodology of biomedical research. This book will be of interest to anyone involved, directly or indirectly, in biomedical research (including physicians, veterinarians and scientists), and anyone interested in the history, philosophy and methodology of science. In contrast to books written by and for the animal rights movement and books written by and for the animal-based research industry, this book honestly examines all sides of the scientific arguments for using animals in science and concludes that each group in turn exaggerates the flaws or strengths of using animals. There are areas in science where animals can be viably used but there are also areas where they cannot be so used. REVIEWS See Philosophies, Ethics, and Humanities in Medicine 17 August 2010

Evolution of Thin Film Morphology

Author : Matthew Pelliccione
Publisher : Springer Science & Business Media
ISBN 13 : 0387751092
Total Pages : 206 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Evolution of Thin Film Morphology by : Matthew Pelliccione

Download or read book Evolution of Thin Film Morphology written by Matthew Pelliccione and published by Springer Science & Business Media. This book was released on 2008-01-29 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this book is on modeling and simulations used in research on the morphological evolution during film growth. The authors emphasize the detailed mathematical formulation of the problem. The book will enable readers themselves to set up a computational program to investigate specific topics of interest in thin film deposition. It will benefit those working in any discipline that requires an understanding of thin film growth processes.

Modeling Extinction

Author : Mark E. J. Newman
Publisher : Oxford University Press, USA
ISBN 13 : 9780195159462
Total Pages : 126 pages
Book Rating : 4.1/5 (594 download)

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Book Synopsis Modeling Extinction by : Mark E. J. Newman

Download or read book Modeling Extinction written by Mark E. J. Newman and published by Oxford University Press, USA. This book was released on 2003 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last decade or so, scientists have started to examine a new approach to the patterns of evolution and extinction in the fossil record. This approach may be called "statistical paleontology," since it looks at large-scale patterns in the record and attempts to understand and model their average statistical features, rather than their detailed structure. This book, developed after a meeting at the Santa Fe Institute on extinction modeling, comments critically on the various modeling approaches.