Literature DB >> 20819176

The metabolic theory of ecology: prospects and challenges for plant biology.

Charles A Price1, James F Gilooly, Andrew P Allen, Joshua S Weitz, Karl J Niklas.   

Abstract

The metabolic theory of ecology (MTE) as applied to the plant sciences aims to provide a general synthesis for the structure and functioning of plants from organelles to ecosystems. MTE builds from simple assumptions of individual metabolism to make predictions about phenomena across a wide range of scales, from individual plant structure and function to community dynamics and global nutrient cycles. The scope of its predictions include morphological allometry, biomass partitioning, vascular network design, and life history phenomena at the individual level; size-frequency distributions, population growth rates, and energetic equivalence at the community level; and the flux, turnover and storage of nutrients at the ecosystem level. Here, we provide an overview of MTE, by considering its assumptions and predictions at these different levels of organization and explaining how the model integrates phenomena among all of these scales. We highlight the model's many successes in predicting novel patterns and draw attention to areas in which gaps remain between observations and MTE's assumptions and predictions. Considering the theory as a whole, we argue that MTE has made a significant contribution in furthering our understanding of those unifying aspects of the structure and function of plants, populations, communities, and ecosystems.
© The Authors (2010). Journal compilation © New Phytologist Trust (2010).

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Year:  2010        PMID: 20819176     DOI: 10.1111/j.1469-8137.2010.03442.x

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  17 in total

1.  Organ-specific rates of cellular respiration in developing sunflower seedlings and their bearing on metabolic scaling theory.

Authors:  Ulrich Kutschera; Karl J Niklas
Journal:  Protoplasma       Date:  2011-10-21       Impact factor: 3.356

Review 2.  Kleiber's Law: How the Fire of Life ignited debate, fueled theory, and neglected plants as model organisms.

Authors:  Karl J Niklas; Ulrich Kutschera
Journal:  Plant Signal Behav       Date:  2015

3.  Evidence of variant intra- and interspecific scaling of tree crown structure and relevance for allometric theory.

Authors:  Hans Pretzsch; Jochen Dieler
Journal:  Oecologia       Date:  2012-01-11       Impact factor: 3.225

4.  Chemical Stimulation of Heterocyte Differentiation by the Feather Moss Hylocomium splendens: a Potential New Step in Plant-Cyanobacteria Symbioses.

Authors:  Danillo Oliveira Alvarenga; Isabella Vendel Elmdam; Alexander Blinkenberg Timm; Kathrin Rousk
Journal:  Microb Ecol       Date:  2022-07-20       Impact factor: 4.192

5.  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

6.  Metabolic scaling theory in plant biology and the three oxygen paradoxa of aerobic life.

Authors:  Ulrich Kutschera; Karl J Niklas
Journal:  Theory Biosci       Date:  2013-08-27       Impact factor: 1.919

7.  A Statistical Description of Plant Shoot Architecture.

Authors:  Adam Conn; Ullas V Pedmale; Joanne Chory; Charles F Stevens; Saket Navlakha
Journal:  Curr Biol       Date:  2017-07-06       Impact factor: 10.834

8.  Predicting maximum tree heights and other traits from allometric scaling and resource limitations.

Authors:  Christopher P Kempes; Geoffrey B West; Kelly Crowell; Michelle Girvan
Journal:  PLoS One       Date:  2011-06-13       Impact factor: 3.240

9.  How stand productivity results from size- and competition-dependent growth and mortality.

Authors:  John P Caspersen; Mark C Vanderwel; William G Cole; Drew W Purves
Journal:  PLoS One       Date:  2011-12-13       Impact factor: 3.240

10.  Allometric convergence in savanna trees and implications for the use of plant scaling models in variable ecosystems.

Authors:  Andrew T Tredennick; Lisa Patrick Bentley; Niall P Hanan
Journal:  PLoS One       Date:  2013-03-06       Impact factor: 3.240

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