MODELLING FOR FIELD BIOLOGISTS AND OTHER INTERESTING PEOPLE

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American Entomologist

Author :
ISBN : UCLA:L0090617390
Genre : Entomology
File Size : 46.98 MB
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Category: Entomology

A Biologist S Guide To Mathematical Modeling In Ecology And Evolution

Author : Sarah P. Otto
ISBN : 9781400840915
Genre : Science
File Size : 53.6 MB
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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
Category: Science

Mathematical Models Of Social Evolution

Author : Richard McElreath
ISBN : 9780226558288
Genre : Social Science
File Size : 73.91 MB
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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.
Category: Social Science

Evolution And Genetics For Psychology

Author : Daniel Nettle
ISBN : 0199231516
Genre : Psychology
File Size : 71.10 MB
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Evolution and Genetics for Psychology lays out the conceptual toolkit one needs in order to think in evolutionary terms - and to apply this thinking to any subject. With the toolkit firmly in place, it goes on to show how these key concepts are applied to issues of human behaviour, from sex to social relationships, to learning.
Category: Psychology

Book Review Index 2009

Author : Dana Ferguson
ISBN : 1414419120
Genre : Language Arts & Disciplines
File Size : 50.20 MB
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Category: Language Arts & Disciplines

Foraging Theory

Author : David W. Stephens
ISBN : 0691084424
Genre : Science
File Size : 51.92 MB
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This account of the current state of foraging theory is also a valuable description of the use of optimality theory in behavioral ecology in general. Organizing and introducing the main research themes in economic analyses of animal feeding behavior, the authors analyze the empirical evidence bearing on foraging models and answer criticisms of optimality modeling. They explain the rationale for applying optimality models to the strategies and mechanics of foraging and present the basic "average-rate maximizing" models and their extensions. The work discusses new directions in foraging research: incorporating incomplete information and risk-sensitive behavior in foraging models; analyzing trade-offs, such as nutrient requirements and the threat of being eaten while foraging; formulating dynamic models; and building constrained optimization models that assume that foragers can use only simple "rules of thumb." As an analysis of these and earlier research developments and as a contribution to debates about the role of theory in evolutionary biology. Foraging Theory will appeal to a wide range of readers, from students to research professionals, in behavioral ecology, population and community ecology, animal behavior, and animal psychology, and especially to those planning empirical tests of foraging models.
Category: Science

Dynamic Models In Biology

Author : Stephen P. Ellner
ISBN : 9781400840960
Genre : Science
File Size : 89.83 MB
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From controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. Many universities are starting undergraduate programs in computational biology to introduce students to this rapidly growing field. In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist Stephen Ellner and mathematician John Guckenheimer teach students how to understand, build, and use dynamic models in biology. Developed from a course taught by Ellner and Guckenheimer at Cornell University, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. The authors cover both simple analytic models--the sort usually found in mathematical biology texts--and the complex computational models now used by both biologists and mathematicians. Linked to a Web site with computer-lab materials and exercises, Dynamic Models in Biology is a major new introduction to dynamic models for students in the biological sciences, mathematics, and engineering.
Category: Science

Choice

Author :
ISBN : UCSC:32106017987782
Genre : Academic libraries
File Size : 35.30 MB
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Category: Academic libraries

Mating Systems And Strategies

Author : Stephen M. Shuster
ISBN : 0691049319
Genre : Science
File Size : 53.96 MB
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Presenting a unified conceptual and statistical framework for understanding the evolution of reproductive strategies, this text uses the concept of the opportunity for sexual selection, illustrating how and why sexual selection is one of the strongest and fastest of all evolutionary strategies.
Category: Science