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Discovering Evolutionary Ecology

Bringing together ecology and evolution

Bibliographic Data

ID19977945
AuthorsPeter J Mayhew (0000-0002-7346-6560, University of York, corresponding author)
Year2006
Pages215
Publication date2006-01-05
Open AccessNo
TypeBOOK
VenueDiscovering evolutionary ecology (SOURCE_BOOK)
PublisherOxford University PressOxford (PUBLISHER)
DOI10.1093/oso/9780198570608.001.0001
OpenAlexW4388384909
Open LibraryOL3410614M
ISBN9780198570608
GOOGLE_BOOK_ID3aMB-0wQDZIC
LanguageEN
Citations received2

Why are some kinds of organism species-rich and others species-poor? How do new species arise and why do some go extinct? Why do organisms grow and behave the way they do? This book provides an introduction to evolutionary ecology, the science that brings ecology and evolution together to help understand biological diversity. In a concise, readable format, Peter Mayhew covers the entire breadth of the subject, from life histories and the evolution of sex, to speciation and macroecology. Many emerging fields are also introduced, such as metabolic ecology, the evolution of population dynamics, and the evolution of global ecology. Discovering Evolutionary Ecology highlights the connections between these different subject areas, and for the first time paints a picture of a truly integrated field. It illustrates the research tools utilized, and demonstrates how advances in one area can spur on developments elsewhere when scientists combine evolutionary and ecological knowledge. To maximize accessibility, the book assumes only a basic knowledge of biology, includes a comprehensive glossary, and contains almost no maths. Each chapter provides suggestions for further reading, and there is also an extensive reference list. Ideal as an introduction to evolutionary ecology for undergraduates, this book will also interest established researchers, providing a broad and up-to-date context for their work

Biology · Context (archaeology) · Evolutionary ecology · Field (mathematics) · Glossary · Organism · Population · Population ecology · Sociology · Subject (documents) · Computer Science · Ecology · Evolution and Science Education · Evolutionary Game Theory and Cooperation · Evolution · Evolution (Biology)

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Unique citing works2
Citations per year0.14
Citation span2012 - 2015 (4)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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