G. F. Gause

The Struggle for Existence (eBook, ePUB)

A Classic of Mathematical Biology and Ecology

• Format: ePub

Produktbeschreibung

This work by Russian microbiologist G. F. Gause broke ground for all subsequent research in the biomathematics of populations. Gause's work is essential in giving modern science its grasp of the complexities of population competition; it depicts a microcosm of the process at work on a larger scale throughout the biosphere, and it provides readers with the means for the process's quantitative evaluation.
Starting with an exploration of the struggle for existence in nature, Gause summarizes the theoretical and experimental work that preceded his own. A discussion of the tools of mathematical biology follows, deriving formulas for the measurement of such basic concepts as potential population increase, population saturation, environmental resistance, and the intensity of the struggle for existence. Gause then reports in depth on his own experimental work and his conclusions: that the periodic expansions and contractions of populations are dependent upon the introduction of new variables and are not an inherent property of the predator-prey relationship. Easily understood by anyone acquainted with higher mathematics, this book constitutes essential reading for modern students of population dynamics.

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Produktdetails

• Verlag: Apa Publications
• Seitenzahl: 176
• Erscheinungstermin: 16. Oktober 2019
• Englisch
• ISBN-13: 9780486844541
• Artikelnr.: 57877090

Autorenporträt

Soviet biologist Georgii Frantsevich Gause (1910-86) was based at the Zoological Institute of the University of Moscow and devoted a large part of his working life to the study of antibiotics. He formulated the competitive exclusion principle, a fundamental law of ecology, based on his research with yeast cultures and Paramecium species. The principle states that when two species compete for the same requirements, one will always be slightly more efficient than the other and will reproduce at a higher rate, and the less efficient species will face local extinction.