Literature DB >> 16437113

Universal scaling of respiratory metabolism, size and nitrogen in plants.

Peter B Reich1, Mark G Tjoelker, Jose-Luis Machado, Jacek Oleksyn.   

Abstract

The scaling of respiratory metabolism to body size in animals is considered to be a fundamental law of nature, and there is substantial evidence for an approximate (3/4)-power relation. Studies suggest that plant respiratory metabolism also scales as the (3/4)-power of mass, and that higher plant and animal scaling follow similar rules owing to the predominance of fractal-like transport networks and associated allometric scaling. Here, however, using data obtained from about 500 laboratory and field-grown plants from 43 species and four experiments, we show that whole-plant respiration rate scales approximately isometrically (scaling exponent approximately 1) with total plant mass in individual experiments and has no common relation across all data. Moreover, consistent with theories about biochemically based physiological scaling, isometric scaling of whole-plant respiration rate to total nitrogen content is observed within and across all data sets, with a single relation common to all data. This isometric scaling is unaffected by growth conditions including variation in light, nitrogen availability, temperature and atmospheric CO2 concentration, and is similar within or among species or functional groups. These findings suggest that plants and animals follow different metabolic scaling relations, driven by distinct mechanisms.

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Year:  2006        PMID: 16437113     DOI: 10.1038/nature04282

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  79 in total

1.  A general basis for quarter-power scaling in animals.

Authors:  Jayanth R Banavar; Melanie E Moses; James H Brown; John Damuth; Andrea Rinaldo; Richard M Sibly; Amos Maritan
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-19       Impact factor: 11.205

2.  Ontogenetic phase shifts in metabolism: links to development and anti-predator adaptation.

Authors:  Mitsuharu Yagi; Takeshi Kanda; Tatsusuke Takeda; Atsushi Ishimatsu; Shin Oikawa
Journal:  Proc Biol Sci       Date:  2010-05-05       Impact factor: 5.349

3.  Scaling relationship between tree respiration rates and biomass.

Authors:  Dong-Liang Cheng; Tao Li; Quan-Lin Zhong; Gen-Xuan Wang
Journal:  Biol Lett       Date:  2010-03-31       Impact factor: 3.703

4.  Extreme longevity in trees: live slow, die old?

Authors:  Julien Issartel; Clément Coiffard
Journal:  Oecologia       Date:  2010-10-21       Impact factor: 3.225

5.  Hydraulic trade-offs and space filling enable better predictions of vascular structure and function in plants.

Authors:  V M Savage; L P Bentley; B J Enquist; J S Sperry; D D Smith; P B Reich; E I von Allmen
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-13       Impact factor: 11.205

6.  Global metabolic impacts of recent climate warming.

Authors:  Michael E Dillon; George Wang; Raymond B Huey
Journal:  Nature       Date:  2010-10-07       Impact factor: 49.962

7.  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

8.  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

9.  Becoming less tolerant with age: sugar maple, shade, and ontogeny.

Authors:  Kerrie M Sendall; Christopher H Lusk; Peter B Reich
Journal:  Oecologia       Date:  2015-08-30       Impact factor: 3.225

10.  Evolutionary entropy: a predictor of body size, metabolic rate and maximal life span.

Authors:  Lloyd Demetrius; Stéphane Legendre; Peter Harremöes
Journal:  Bull Math Biol       Date:  2009-01-27       Impact factor: 1.758

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