Document Detail


An allometry-based approach for understanding forest structure, predicting tree-size distribution and assessing the degree of disturbance.
MedLine Citation:
PMID:  23193128     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Tree-size distribution is one of the most investigated subjects in plant population biology. The forestry literature reports that tree-size distribution trajectories vary across different stands and/or species, whereas the metabolic scaling theory suggests that the tree number scales universally as -2 power of diameter. Here, we propose a simple functional scaling model in which these two opposing results are reconciled. Basic principles related to crown shape, energy optimization and the finite-size scaling approach were used to define a set of relationships based on a single parameter that allows us to predict the slope of the tree-size distributions in a steady-state condition. We tested the model predictions on four temperate mountain forests. Plots (4 ha each, fully mapped) were selected with different degrees of human disturbance (semi-natural stands versus formerly managed). Results showed that the size distribution range successfully fitted by the model is related to the degree of forest disturbance: in semi-natural forests the range is wide, whereas in formerly managed forests, the agreement with the model is confined to a very restricted range. We argue that simple allometric relationships, at an individual level, shape the structure of the whole forest community.
Authors:
Tommaso Anfodillo; Marco Carrer; Filippo Simini; Ionel Popa; Jayanth R Banavar; Amos Maritan
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Proceedings. Biological sciences / The Royal Society     Volume:  280     ISSN:  1471-2954     ISO Abbreviation:  Proc. Biol. Sci.     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2012-11-29     Completed Date:  2013-05-06     Revised Date:  2014-01-23    
Medline Journal Info:
Nlm Unique ID:  101245157     Medline TA:  Proc Biol Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  20122375     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Biometry
Biota*
Demography*
Forestry
Italy
Models, Biological*
Romania
Trees / growth & development*
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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