Literature DB >> 16643303

Testing metabolic ecology theory for allometric scaling of tree size, growth and mortality in tropical forests.

Helene C Muller-Landau, Richard S Condit, Jerome Chave, Sean C Thomas, Stephanie A Bohlman, Sarayudh Bunyavejchewin, Stuart Davies, Robin Foster, Savitri Gunatilleke, Nimal Gunatilleke, Kyle E Harms, Terese Hart, Stephen P Hubbell, Akira Itoh, Abd Rahman Kassim, James V LaFrankie, Hua Seng Lee, Elizabeth Losos, Jean-Remy Makana, Tatsuhiro Ohkubo, Raman Sukumar, I-Fang Sun, M N Nur Supardi, Sylvester Tan, Jill Thompson, Renato Valencia, Gorky Villa Muñoz, Christopher Wills, Takuo Yamakura, George Chuyong, Handanakere Shivaramaiah Dattaraja, Shameema Esufali, Pamela Hall, Consuelo Hernandez, David Kenfack, Somboon Kiratiprayoon, Hebbalalu S Suresh, Duncan Thomas, Martha Isabel Vallejo, Peter Ashton.   

Abstract

The theory of metabolic ecology predicts specific relationships among tree stem diameter, biomass, height, growth and mortality. As demographic rates are important to estimates of carbon fluxes in forests, this theory might offer important insights into the global carbon budget, and deserves careful assessment. We assembled data from 10 old-growth tropical forests encompassing censuses of 367 ha and > 1.7 million trees to test the theory's predictions. We also developed a set of alternative predictions that retained some assumptions of metabolic ecology while also considering how availability of a key limiting resource, light, changes with tree size. Our results show that there are no universal scaling relationships of growth or mortality with size among trees in tropical forests. Observed patterns were consistent with our alternative model in the one site where we had the data necessary to evaluate it, and were inconsistent with the predictions of metabolic ecology in all forests.

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Year:  2006        PMID: 16643303     DOI: 10.1111/j.1461-0248.2006.00904.x

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  49 in total

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2.  Self-similarity and scaling in forest communities.

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-07       Impact factor: 11.205

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Journal:  Biol Lett       Date:  2010-03-31       Impact factor: 3.703

4.  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

5.  The evolutionary convergence of avian lifestyles and their constrained coevolution with species' ecological niche.

Authors:  Paola Laiolo; Javier Seoane; Juan Carlos Illera; Giulia Bastianelli; Luis María Carrascal; José Ramón Obeso
Journal:  Proc Biol Sci       Date:  2015-12-22       Impact factor: 5.349

6.  A general quantitative theory of forest structure and dynamics.

Authors:  Geoffrey B West; Brian J Enquist; James H Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-10       Impact factor: 11.205

7.  Extensions and evaluations of a general quantitative theory of forest structure and dynamics.

Authors:  Brian J Enquist; Geoffrey B West; James H Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-10       Impact factor: 11.205

8.  An integrative framework for stochastic, size-structured community assembly.

Authors:  J P O'Dwyer; J K Lake; A Ostling; V M Savage; J L Green
Journal:  Proc Natl Acad Sci U S A       Date:  2009-03-31       Impact factor: 11.205

9.  Insights into plant size-density relationships from models and agricultural crops.

Authors:  Jianming Deng; Wenyun Zuo; Zhiqiang Wang; Zhexuan Fan; Mingfei Ji; Genxuan Wang; Jinzhi Ran; Changming Zhao; Jianquan Liu; Karl J Niklas; Sean T Hammond; James H Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-14       Impact factor: 11.205

10.  Evaluating scaling models in biology using hierarchical Bayesian approaches.

Authors:  Charles A Price; Kiona Ogle; Ethan P White; Joshua S Weitz
Journal:  Ecol Lett       Date:  2009-04-27       Impact factor: 9.492

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