Literature DB >> 15682874

Plant allometry: is there a grand unifying theory?

Karl J Niklas1.   

Abstract

The study of size and its biological consequences--alled allometry--has fascinated biologists for centuries. Recent advances in this area of study have stimulated a renewed interest in these scaling phenomena, especially in terms of the search for mechanistic explanations that transcend mere descriptive phenomenology. These advances are reviewed in the context of plant biology. Allometric derivations are presented that predict how annual growth in total body biomass is partitioned to construct new leaf, stem, and root tissues at the level of an individual plant. Derivations are also presented to predict annual reproductive effort and to predict how the biomass of body parts changes as a function of the number of plants per unit area in communities. The predictions emerging from these derivations are then examined empirically by comparing predicted and observed scaling exponents for each relationship using a world-wide data compendium gathered from the primary literature. These comparisons provide strong statistical support for each of the allometric predictions. This support is taken as evidence that a general unifying allometric theory for plant biology is near at hand. Nevertheless, the validation of this theory requires much additional work and raises a number of procedural and conceptual concerns that must be resolved before a single 'global' theory is accepted.

Mesh:

Year:  2004        PMID: 15682874     DOI: 10.1017/s1464793104006499

Source DB:  PubMed          Journal:  Biol Rev Camb Philos Soc        ISSN: 0006-3231


  51 in total

1.  Corner's rules pass the test of time: little effect of phenology on leaf-shoot and other scaling relationships.

Authors:  Alex Fajardo; Juan P Mora; Etienne Robert
Journal:  Ann Bot       Date:  2020-11-24       Impact factor: 4.357

2.  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

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

Review 4.  Plant allometry, leaf nitrogen and phosphorus stoichiometry, and interspecific trends in annual growth rates.

Authors:  Karl J Niklas
Journal:  Ann Bot       Date:  2005-11-15       Impact factor: 4.357

5.  A comparison between the record height-to-stem diameter allometries of Pachycaulis and Leptocaulis species.

Authors:  Karl J Niklas; Edward D Cobb; Thomas Marler
Journal:  Ann Bot       Date:  2005-10-27       Impact factor: 4.357

6.  Above- and below-ground biomass relationships across 1534 forested communities.

Authors:  Dong-Liang Cheng; Karl J Niklas
Journal:  Ann Bot       Date:  2006-11-03       Impact factor: 4.357

7.  Scaling of tree vascular transport systems along gradients of nutrient supply and altitude.

Authors:  David A Coomes; Kerry L Jenkins; Lydia E S Cole
Journal:  Biol Lett       Date:  2007-02-22       Impact factor: 3.703

8.  "Diminishing returns" in the scaling of functional leaf traits across and within species groups.

Authors:  Karl J Niklas; Edward D Cobb; Ulo Niinemets; Peter B Reich; Arne Sellin; Bill Shipley; Ian J Wright
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-14       Impact factor: 11.205

9.  Sensitivity of growth and biomass allocation patterns to increasing nitrogen: a comparison between ephemerals and annuals in the Gurbantunggut Desert, north-western China.

Authors:  Xiaobing Zhou; Yuanming Zhang; Karl J Niklas
Journal:  Ann Bot       Date:  2013-11-27       Impact factor: 4.357

10.  Root-shoot allometry of tropical forest trees determined in a large-scale aeroponic system.

Authors:  Amram Eshel; José M Grünzweig
Journal:  Ann Bot       Date:  2012-12-18       Impact factor: 4.357

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