eBook Description :
Evolutionary Analysis 5th Edition (ISBN-13: 9780321616678) by Jon C. Herron and Scott Freeman is an engaging textbook that introduces students to the dynamic field of evolutionary biology. Designed for undergraduate courses, this edition emphasizes the ongoing research in evolution, helping students think like scientists as they explore both classical and recent studies. The authors use real-world applications to convey the excitement and logic of evolutionary science.
In this edition, co-author Jon Herron has streamlined and updated the content to reflect the latest developments in the field. The textbook’s design and art have also been enhanced for greater clarity, making complex concepts easier to grasp.
Table of Contents:
• Introduction
• A Case for Evolutionary Thinking: Understanding HIV
• The Evidence for Evolution
• Darwinian Natural Selection
• Reconstructing Evolutionary Trees
• Mechanisms of Evolutionary Change
• Mutation and Genetic Variation
• Mendelian Genetics in Populations I: Selection and Mutation as Mechanisms of Evolution
• Mendelian Genetics in Populations II: Migration, Genetic Drift, and Nonrandom Mating
• Evolution at Multiple Loci: Linkage and Sex
• Evolution at Multiple Loci: Quantitative Genetics
• Adaptation
• Studying Adaptation: Evolutionary Analysis of Form and Function
• Sexual Selection
• Kin Selection and Social Behavior
• Aging and Other Life History Characters
• Evolution and Human Health
• Phylogenomics and the Molecular Basis of Adaptation
• The History of Life
• Mechanisms of Speciation
• The Origins of Life and Precambrian Evolution
• The Cambrian Explosion and Beyond
• Development and Evolution
• Human Evolution
Explore Evolutionary Analysis, 5th Edition on eLearnBooks.com and gain the insights needed to understand the dynamic field of evolutionary biology.
Evolutionary Analysis 5th Edition
eBook Details
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- Categories: Biology
- Year : 2013
- Edition: 5th Edition
- Publisher: Pearson
- Language: English
- Pages: 865
- ISBN-13: 978-0321616678
- ISBN-10: 0321616677
- File: PDF, 54.66 MB