Literature DB >> 4689015

Size and shape in biology.

T McMahon.   

Abstract

Arguments based on elastic stability and flexure, as opposed to the more conventional ones based on yield strength, require that living organisms adopt forms whereby lengths increase as the (2/3) power of diameter. The somatic dimensions of several species of animals and of a wide variety of trees fit this rule well. It is a simple matter to show that energy metabolism during maximal sustained work depends on body cross-sectional area, not total body surface area as proposed by Rubner (1) and many after him. This result and the result requiring animal proportions to change with size amount to a derivation of Kleiber's law, a statement only empirical until now, correlating the metabolically related variables with body weight raised to the (3/4) power. In the present model, biological frequencies are predicted to go inversely as body weight to the (1/4) power, and total body surface areas should correlate with body weight to the (5/8) power. All predictions of the proposed model are tested by comparison with existing data, and the fit is considered satisfactory. In The Fire of Life, Kleiber (5) wrote "When the concepts concerned with the relation of body size and metabolic rate are clarified, . . . then compartive physiology of metabolism will be of great help in solving one of the most intricate and interesting problems in biology, namely the regulation of the rate of cell metabolism." Although Hill (23) realized that "the essential point about a large animal is that its structure should be capable of bearing its own weight and this leaves less play for other factors," he was forced to use an oversimplified "geometric similarity" hypothesis in his important work on animal locomotion and muscular dynamics. It is my hope that the model proposed here promises useful answers in comparisons of living things on both the microscopic and the gross scale, as part of the growing science of form, which asks precisely how organisms are diverse and yet again how they are alike.

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Year:  1973        PMID: 4689015     DOI: 10.1126/science.179.4079.1201

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  109 in total

1.  Directionality theory and the evolution of body size.

Authors:  L Demetrius
Journal:  Proc Biol Sci       Date:  2000-12-07       Impact factor: 5.349

2.  Scaling of growth: plants and animals are not so different.

Authors:  J Damuth
Journal:  Proc Natl Acad Sci U S A       Date:  2001-02-27       Impact factor: 11.205

3.  Exponential mapping of quantitative trait loci governing allometric relationships in organisms.

Authors:  Chang-Xing Ma; George Casella; Ramon C Littell; André I Khuri; Rongling Wu
Journal:  J Math Biol       Date:  2003-05-15       Impact factor: 2.259

4.  Palaeo-adaptive properties of the xylem of Metasequoia: mechanical/hydraulic compromises.

Authors:  Richard Jagels; George E Visscher; John Lucas; Barry Goodell
Journal:  Ann Bot       Date:  2003-05-21       Impact factor: 4.357

5.  Response of tree biomass and wood litter to disturbance in a Central Amazon forest.

Authors:  Jeffrey Q Chambers; Niro Higuchi; Liliane M Teixeira; Joaquim dos Santos; Susan G Laurance; Susan E Trumbore
Journal:  Oecologia       Date:  2004-09-07       Impact factor: 3.225

Review 6.  Functional interactions among morphologic and tissue quality traits define bone quality.

Authors:  Karl J Jepsen
Journal:  Clin Orthop Relat Res       Date:  2011-08       Impact factor: 4.176

7.  Pulling it together in three dimensions.

Authors:  Xavier Trepat; Ben Fabry; Jeffrey J Fredberg
Journal:  Nat Methods       Date:  2010-12       Impact factor: 28.547

8.  Evaluating general allometric models: interspecific and intraspecific data tell different stories due to interspecific variation in stem tissue density and leaf size.

Authors:  Yingxin Huang; Martin J Lechowicz; Daowei Zhou; Charles A Price
Journal:  Oecologia       Date:  2015-11-16       Impact factor: 3.225

9.  Scaling or normalising maximum oxygen uptake to predict 1-mile run time in boys.

Authors:  Alan Nevill; Thomas Rowland; Donna Goff; Leslie Martel; Lisa Ferrone
Journal:  Eur J Appl Physiol       Date:  2004-04-09       Impact factor: 3.078

10.  Deconstructing cartilage shape and size into contributions from embryogenesis, metamorphosis, and tadpole and frog growth.

Authors:  Christopher S Rose; Danny Murawinski; Virginia Horne
Journal:  J Anat       Date:  2015-04-25       Impact factor: 2.610

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