How life increases biodiversity : an autocatalytic hypothesis /
This book argues that organisms and their interactions create and maximize biodiversity. The evidence for this autocatalytic hypothesis has been collated and integrated into this provocative argument. Natural selection favors the increase of biodiversity. Organisms can be causative agents contributi...
Saved in:
Main Author: | |
---|---|
Corporate Authors: | , |
Format: | Electronic eBook |
Language: | English |
Published: |
Boca Raton :
CRC Press,
2022.
|
Subjects: | |
Online Access: | Full text (WIT users only) |
Summary: | This book argues that organisms and their interactions create and maximize biodiversity. The evidence for this autocatalytic hypothesis has been collated and integrated into this provocative argument. Natural selection favors the increase of biodiversity. Organisms can be causative agents contributing to major macroevolutionary transitions. Species tend to have a net positive effect on biodiversity. All species are ecosystem engineers. Mutualism and commensalism are common and fundamental, and these coevolved interspecific interactions frequently generate enormous increases in biodiversity. Competition generally does not decrease biodiversity, and often leads to evolutionary innovation. Plants are ecosystem engineers that have made Earth more favorable to life and increased diversity in many ways. Herbivores and predators increase the diversity of the species they consume, and are necessary for ecosystem stability. Decomposers are essential to ecosystem health. All these examples illustrate the focus of this book - that organisms and their interactions stimulate biodiversity, and ecosystems maximize it. Key Features Describes a hypothesis that life itself generates higher biodiversity Suggests a highly modified version of the established paradigm in population biology and evolution Asserts that all species are ecosystem engineers with a net positive effect on biodiversity and their ecosystems Suggests that mutualism and commensalism are the rule Presents a novel view likely to elicit deeper discussions of biodiversity Related Titles Dewdney, A. K. Stochastic Communities: A Mathematical Theory of Biodiversity (ISBN 978-1-138-19702-2) Curry, G. B. and C. J. Humphries, eds. Biodiversity Databases: Techniques, Politics, and Applications (ISBN 978-0-367-38916-1) Pullaiah, T, ed. Global Biodiversity. 4 Volume Set (ISBN 978-1-77188-751-9) |
---|---|
Physical Description: | 1 online resource |
ISBN: | 0429802110 9780429440137 0429440138 9780429802102 0429802102 9780429802096 0429802099 9780429802119 |