- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
基本説明
The first A-Z reference work on evolution. Comprising more than 700,000 words. Topics including: Ancient DNA, Cloning, Cope's Rule, Charles Darwin, Extinction, Galapagos Islands.
Full Description
From the classic work of Darwin to current developments in such fields as psychology and economics, evolutionary biology is an increasingly powerful tool for understanding the natural world. Here in two volumes is a comprehensive, accessible, and authoritative guide to what we know about evolutionary biology, from the origins of species to the selfish gene and beyond. The Encyclopedia is available in print and as an e-reference text from Oxford's Digital ReferenceShelf. The Encyclopedia of Evolution covers the essentials of evolutionary biology in 370 original articles written by leading experts. The articles cover basic concepts and theories; models, methods, and findings; schools of thought; current controversies; biographies; and more. The Encyclopedia covers evolutionary thought in genetics, animal behavior, and every area of the life sciences, as well as in anthropology, psychology, linguistics, sociology, economics, medicine, philosophy, and other fields. There are hundreds of tables, charts, graphs, maps and other illustrations, bibliographies, cross-references and and index. Designed for students and teachers in both high schools and colleges and universities, and scholars and scientists in the natural and social sciences, the Encyclopedia of Evolution will be the first point of access to this growing body of knowledge.
Contents
Coverage at a glance ; Fundamental concepts, definitions, theory ; Molecular evolution ; Population genetics ; Evolutionary genetics ; Biogeography, biogeology. and biochronology ; Social selection ; Evolution of disease ; Experimental and analytical techniques ; History, sociology, and philosophy ; Non-biological applications of evolutionary concepts ; Evolutionary systematics ; Human evolution ; Cell and developmental biology ; History and diversity of life ; Mathematical models ; Behavioral ecology