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Van M. Savage

Researcher at University of California, Los Angeles

Publications -  122
Citations -  20410

Van M. Savage is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Population & Metabolic theory of ecology. The author has an hindex of 46, co-authored 113 publications receiving 17512 citations. Previous affiliations of Van M. Savage include University of California, Berkeley & Los Alamos National Laboratory.

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Toward a metabolic theory of ecology

TL;DR: This work has developed a quantitative theory for how metabolic rate varies with body size and temperature, and predicts how metabolic theory predicts how this rate controls ecological processes at all levels of organization from individuals to the biosphere.
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Effects of Size and Temperature on Metabolic Rate

TL;DR: A general model is derived, based on principles of biochemical kinetics and allometry, that characterizes the effects of temperature and body mass on metabolic rate of microbes, ectotherms, endotherms (including those in hibernation), and plants in temperatures ranging from 0° to 40°C.
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Effects of size and temperature on developmental time

TL;DR: A general model is derived, based on first principles of allometry and biochemical kinetics, that predicts the time of ontogenetic development as a function of body mass and temperature, and suggests a general definition of biological time that is approximately invariant and common to all organisms.
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Effects of Body Size and Temperature on Population Growth

TL;DR: A theory shows how the intrinsic rate of exponential population growth depends on individual metabolic rate and resource supply rate, and makes explicit the relationship between rates of resource supply in the environment and rates of production of new biomass and individuals.
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Systematic variation in the temperature dependence of physiological and ecological traits

TL;DR: Analysis of the rising component of within-species (intraspecific) responses reveals that 87% are fit well by the Boltzmann–Arrhenius model, and generalities and deviations in the thermal response of biological traits help to provide a basis to predict better how biological systems, from cells to communities, respond to temperature change.