Literature DB >> 12234153

A stochastic flowering model describing an asynchronically flowering set of trees.

F Normand1, R Habib, J Chadoeuf.   

Abstract

A general stochastic model is presented that simulates the time course of flowering of individual trees and populations, integrating the synchronization of flowering both between and within trees. Making some hypotheses, a simplified expression of the model, called the 'shoot' model, is proposed, in which the synchronization of flowering both between and within trees is characterized by specific parameters. Two derived models, the 'tree' model and the 'population' model, are presented. They neglect the asynchrony of flowering, respectively, within trees, and between and within trees. Models were fitted and tested using data on flowering of Psidium cattleianum observed at study sites at elevations of 200, 520 and 890 m in Reunion Island. The 'shoot' model fitted the data best and reproduced the strong irregularities in flowering shown by empirical data. The asynchrony of flowering in P. cattleianum was more pronounced within than between trees. Simulations showed that various flowering patterns can be reproduced by the 'shoot' model. The use of different levels of organization of the general model is discussed.

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Year:  2002        PMID: 12234153      PMCID: PMC4240404          DOI: 10.1093/aob/mcf204

Source DB:  PubMed          Journal:  Ann Bot        ISSN: 0305-7364            Impact factor:   4.357


  3 in total

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Authors:  R A Ims
Journal:  Trends Ecol Evol       Date:  1990-05       Impact factor: 17.712

2.  GENETIC CONSTRAINTS ON LIFE-HISTORY EVOLUTION: QUANTITATIVE-TRAIT LOCI INFLUENCING GROWTH AND FLOWERING IN ARABIDOPSIS THALIANA.

Authors:  Thomas Mitchell-Olds
Journal:  Evolution       Date:  1996-02       Impact factor: 3.694

3.  Identification of RFLP markers closely linked to the bolting gene B and their significance for the study of the annual habit in beets (Beta vulgaris L.).

Authors:  P Boudry; R Wieber; P Saumitou-Laprade; K Pillen; H Van Dijk; C Jung
Journal:  Theor Appl Genet       Date:  1994-08       Impact factor: 5.699

  3 in total

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