Literature DB >> 20724663

A general basis for quarter-power scaling in animals.

Jayanth R Banavar1, Melanie E Moses, James H Brown, John Damuth, Andrea Rinaldo, Richard M Sibly, Amos Maritan.   

Abstract

It has been known for decades that the metabolic rate of animals scales with body mass with an exponent that is almost always <1, >2/3, and often very close to 3/4. The 3/4 exponent emerges naturally from two models of resource distribution networks, radial explosion and hierarchically branched, which incorporate a minimum of specific details. Both models show that the exponent is 2/3 if velocity of flow remains constant, but can attain a maximum value of 3/4 if velocity scales with its maximum exponent, 1/12. Quarter-power scaling can arise even when there is no underlying fractality. The canonical "fourth dimension" in biological scaling relations can result from matching the velocity of flow through the network to the linear dimension of the terminal "service volume" where resources are consumed. These models have broad applicability for the optimal design of biological and engineered systems where energy, materials, or information are distributed from a single source.

Mesh:

Year:  2010        PMID: 20724663      PMCID: PMC2936637          DOI: 10.1073/pnas.1009974107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  20 in total

1.  Re-examination of the "3/4-law" of metabolism.

Authors:  P S Dodds; D H Rothman; J S Weitz
Journal:  J Theor Biol       Date:  2001-03-07       Impact factor: 2.691

2.  Supply-demand balance and metabolic scaling.

Authors:  Jayanth R Banavar; John Damuth; Amos Maritan; Andrea Rinaldo
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-29       Impact factor: 11.205

3.  Physiology: plants on a different scale.

Authors:  Lars O Hedin
Journal:  Nature       Date:  2006-01-26       Impact factor: 49.962

4.  The space-lifetime hypothesis: viewing organisms in four dimensions, literally.

Authors:  Lev Ginzburg; John Damuth
Journal:  Am Nat       Date:  2008-01       Impact factor: 3.926

5.  Mixed-power scaling of whole-plant respiration from seedlings to giant trees.

Authors:  Shigeta Mori; Keiko Yamaji; Atsushi Ishida; Stanislav G Prokushkin; Oxana V Masyagina; Akio Hagihara; A T M Rafiqul Hoque; Rempei Suwa; Akira Osawa; Tomohiro Nishizono; Tatsushiro Ueda; Masaru Kinjo; Tsuyoshi Miyagi; Takuya Kajimoto; Takayoshi Koike; Yojiro Matsuura; Takeshi Toma; Olga A Zyryanova; Anatoly P Abaimov; Yoshio Awaya; Masatake G Araki; Tatsuro Kawasaki; Yukihiro Chiba; Marjnah Umari
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-08       Impact factor: 11.205

Review 6.  A unifying explanation for diverse metabolic scaling in animals and plants.

Authors:  Douglas S Glazier
Journal:  Biol Rev Camb Philos Soc       Date:  2009-11-06

7.  Geometric similarity of aorta, venae cavae, and certain of their branches in mammals.

Authors:  J P Holt; E A Rhode; W W Holt; H Kines
Journal:  Am J Physiol       Date:  1981-07

8.  Phylogenetically informed analysis of the allometry of Mammalian Basal metabolic rate supports neither geometric nor quarter-power scaling.

Authors:  Craig R White; Tim M Blackburn; Roger S Seymour
Journal:  Evolution       Date:  2009-06-10       Impact factor: 3.694

9.  Mammalian metabolic allometry: do intraspecific variation, phylogeny, and regression models matter?

Authors:  Annette E Sieg; Michael P O'Connor; James N McNair; Bruce W Grant; Salvatore J Agosta; Arthur E Dunham
Journal:  Am Nat       Date:  2009-11       Impact factor: 3.926

10.  Sizing up allometric scaling theory.

Authors:  Van M Savage; Eric J Deeds; Walter Fontana
Journal:  PLoS Comput Biol       Date:  2008-09-12       Impact factor: 4.475

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  42 in total

1.  Growth, metabolic partitioning, and the size of microorganisms.

Authors:  Christopher P Kempes; Stephanie Dutkiewicz; Michael J Follows
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-27       Impact factor: 11.205

2.  An information-theoretic approach to evaluating the size and temperature dependence of metabolic rate.

Authors:  Craig R White; Peter B Frappell; Steven L Chown
Journal:  Proc Biol Sci       Date:  2012-06-06       Impact factor: 5.349

3.  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

4.  Growth, ageing and scaling laws of coronary arterial trees.

Authors:  Xi Chen; Pei Niu; Xiaolong Niu; Wenzeng Shen; Fei Duan; Liang Ding; Xiliang Wei; Yanjun Gong; Yong Huo; Ghassan S Kassab; Wenchang Tan; Yunlong Huo
Journal:  J R Soc Interface       Date:  2015-12-06       Impact factor: 4.118

5.  Non-dimensional physics of pulsatile cardiovascular networks and energy efficiency.

Authors:  Berk Yigit; Kerem Pekkan
Journal:  J R Soc Interface       Date:  2016-01       Impact factor: 4.118

6.  Building an experimental model of the human body with non-physiological parameters.

Authors:  Joseph M Labuz; Christopher Moraes; David R Mertz; Brendan M Leung; Shuichi Takayama
Journal:  Technology (Singap World Sci)       Date:  2017-03-31

7.  Morphological optimization for access to dual oxidants in biofilms.

Authors:  Christopher P Kempes; Chinweike Okegbe; Zwoisaint Mears-Clarke; Michael J Follows; Lars E P Dietrich
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-12       Impact factor: 11.205

8.  Exploring network scaling through variations on optimal channel networks.

Authors:  Lily A Briggs; Mukkai Krishnamoorthy
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-11       Impact factor: 11.205

9.  Metabolic principles of river basin organization.

Authors:  Ignacio Rodriguez-Iturbe; Kelly K Caylor; Andrea Rinaldo
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-13       Impact factor: 11.205

10.  Shape shifting predicts ontogenetic changes in metabolic scaling in diverse aquatic invertebrates.

Authors:  Douglas S Glazier; Andrew G Hirst; David Atkinson
Journal:  Proc Biol Sci       Date:  2015-03-07       Impact factor: 5.349

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