Vaclav Smil - Growth: From Microorganisms to Megacities
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Growth
From Microorganisms to Megacities
Vaclav Smil
The MIT Press
Cambridge, Massachusetts
London, England
2019 Massachusetts Institute of Technology
All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.
This book was set in Stone Serif and Stone Sans by Westchester Publishing Services. Printed and bound in the United States of America.
Library of Congress Cataloging-in-Publication Data
Names: Smil, Vaclav, author.
Title: Growth / Vaclav Smil.
Description: Cambridge, MA : The MIT Press, 2019. | Includes bibliographical references and index.
Identifiers: LCCN 2018059356 | ISBN 9780262042833 (hardcover : alk. paper)
Subjects: LCSH: Civilization, Modern21st century. | Technology and civilization. | Growth. | Human ecology. | Population. | Energy development. | Economic development. | Cities and townsGrowth. | Urban ecology (Sociology).
Classification: LCC CB428 .S625 2019 | DDC 909.82dc23
LC record available at https://lccn.loc.gov/2018059356
10987654321
Contents
List of Figures
A quintessential marker of modern growth: Moores law, 19712018. Semi-logarithmic graph shows steady exponential increase from 103 to 1010 components per microchip (Smil 2017a; IBM 2018b).
Thomas A. Edison with his phonograph photographed by Mathew Brady in April 1878. Photograph from Brady-Handy Collection of the Library of Congress.xv
Evolution of average male body heights in Western Europe, 15501980. Data from Clio Infra (2017).
The bestselling American car in 1908 was Ford Model T weighing 540 kg. The bestselling vehicle in 2018 was not a car but a truck, Fords F-150 weighing 2,000 kg. Images from Ford Motor Company catalogue for 1909 and from Trucktrend.
Millennium of stalagmite accretion illustrating linear and exponential growth trajectories.
Graphs of expected height-for-age growth (averages and values within two standard deviations) for boys and girls 25 years old. Simplified from WHO (2006).
Growth of annual global crude oil consumption, 18801970: exponential growth plotted on linear and semilog scales. Data from Smil (2017b).
Predictions of growth of US air travel (in billions of passenger-kilometers) based on the period 19301980 (top, the best fit is quartic regression) and 19302015 (bottom, the best fit is a logistic curve with the inflection year in 1987). Data from various annual reports by the International Civil Aviation Organization.
Hyperbolic growth curve in comparison with exponential growth.
Relay growth of the largest stationary prime mover capacities (Smil 2017b). Overlapping logistic growth of unit ratings of steam engines, water turbines, and steam turbines produces a temporary hyperbolic growth trend with nearly seven-order-magnitude gain in 300 years.
Adolphe Quetelet and Pierre-Franois Verhulst. Steel engravings from the authors collection of 19th-century images.
Verhulsts (1845) comparison of logistic and logarithmic (exponential) curves.
Qualitative characteristics of logistic growth.
Robertsons (1908) comparison of the progress of an autocatalytic reaction with body weight increase of male white rats.
Logistic growth (inflection point at 37.1 days, asymptote at 292.9 cm) of a sunflower plant plotted by Reed and Holland (1919).
Forecast of US population growth based on the logistic curve (inflection point in 1919, asymptote at 197.3 million) fitted to decennial census data between 1790 and 1910 (Pearl and Reed 1920).
The plane that raised a logistic growth ceiling of the cruising speed: Boeing 707. Image from wikimedia.
Logistic curve tracing the growth of cruising speed of commercial airliners 19192039 (inflection point in 1945, asymptotic cruising speed of 930.8 km/h). Plotted from data on speeds of specific airplanes, starting with KLMs de Havilland DH-16 in 1919 and ending with Boeing 787 in 2009.
Fitting Mozarts oeuvre into growth curves: symmetrical (a) and asymmetrical (b) logistic functions and quadratic (c) and quartic (d) regression have all high degrees of fit (R2 = 0.99) but predict substantially different long-term outcomes for the year 1806 when Mozart (who died in 1791) would have been 50 years old. Compositions by date listed in Giegling et al. (1964).
Marchettis (1977) claim of predetermined shares of individual components of the worlds primary energy supply: Fischer-Pry transforms show very regular substitutions.
Actual trajectories of primary energy shares show that this has not been a system with an immutable schedule, a will, and a clock. Shares plotted from data in Smil (2017b).
Logistic growth trajectory (inflection point in 2024, asymptote at 625.5 Wh/kg) of battery energy densities, 19002017. Plotted from data in Zu and Li (2011) and from subsequent news reports.
Examples of confined exponential growth curves (based on Banks 1994).
Carl Friedrich Gauss, Pierre-Simon Laplace, and Abraham de Moivre. Portraits from the authors collection.
Characteristics of the normal distribution curve.
Lognormal species abundance distributions (x axes in log2 classes) of North American fish and birds and less regular distributions of North American and Asian vegetation. Simplified from Anto et al. (2017).
Peaks of two asymmetric distributions, one natural and one anthropogenic: there is only one Qomolangma and one Tokyo. Qomolangma image is available at wikimedia and Tokyos satellite image is from NASAs Earth Observatory collection.
Benfords frequency distribution. Plotted from data in Benford (1938).
Ranking of the 100 largest US metropolitan districts based on 1940 census (Zipf 1949).
Heavy-tailed lognormal distributions of earthquake magnitudes, sizes of forest fires, cities, and the citations of academic papers. Simplified from Clauset et al. (2009).
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