The Theory of Island Biogeography

Description

Biogeography was stuck in a "natural history phase" dominated by the collection of data, the young Princeton biologists Robert H. MacArthur and Edward O. Wilson argued in 1967. In this book the authors developed a general theory to explain the facts of island biogeography. The theory builds on the first principles of population ecology and genetics to explain how distance and area combine to regulate the balance between immigration and extinction in island populations. The authors then test the theory against data. The Theory of Island Biogeography was never intended as the last word on the subject. Instead, MacArthur and Wilson sought to stimulate "new forms of theoretical and empirical studies, which will lead in turn to a stronger general theory." Even a third of a century since its publication, the book continues to serve that purpose well. From popular books like David Quammen's Song of the Dodo to arguments in the profeessional literature. The Theory of Island Biogeography remains at the center of discussions about the geographic distribution of species. In a new preface, Edward O. Wilson reviews the origins and consequences of this classic book.

Robert M. May has been a pioneer in theoretically driven biology for the last thirty years. He has done key work in population ecology, the dynamics of infectious diseases, extinctions, and other areas. He is currently a Professor at Oxford University as well as President of the Royal Society in Britain. Robert H. MacArthur was Professor of Biology at Princeton University until his death in 1972. Edward O. Wilson is University Research Professor and Honorary Curator in Entomology at Harvard University. He is the author of many books, including Biodiversity, Biophilia. The Diversity of Life, and Naturalist.

"Anyone interested in the history of modern ecology, evolutionary biology, and conservation biology should be aware of the content and impact of this seminal work."--Sharon Kingsland, Journal of the History of Biology