Literature DB >> 14972923

ECOPHYS: An ecophysiological growth process model for juvenile poplar.

H. M. Rauscher1, J. G. Isebrands, G. E. Host, R. E. Dickson, D. I. Dickmann, T. R. Crow, D. A. Michael.   

Abstract

The ECOPHYS model is an ecophysiological growth process model of juvenile poplar clones growing under near optimal conditions. The theoretical basis for the ECOPHYS model is that (1) individual leaves drive and control growth; (2) the microenvironment at the leaf exerts primary control of photosynthetic rates; (3) leaf orientation is a major determinant of that microenvironment, (4) photosynthates produced by leaves are allocated among meristematic and respiratory sinks: and (5) the plant's genome and microenvironment regulate photosynthate allocation. The major driving variables are solar radiation, temperature, and clonal morphological and physiological factors. The user can interact or override any or all of the input variables to examine the effects of such changes on photosynthetic production and growth. Verification and sensitivity analyses of ECOPHYS are presented and discussed. The use of ECOPHYS as a research tool is illustrated with several examples. Model potential and limitations are discussed.

Year:  1990        PMID: 14972923     DOI: 10.1093/treephys/7.1-2-3-4.255

Source DB:  PubMed          Journal:  Tree Physiol        ISSN: 0829-318X            Impact factor:   4.196


  5 in total

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Authors:  Gail Taylor
Journal:  Ann Bot       Date:  2002-12       Impact factor: 4.357

2.  Stochastic modelling of tree architecture and biomass allocation: application to teak (Tectona grandis L. f.), a tree species with polycyclic growth and leaf neoformation.

Authors:  Kodjo Tondjo; Loïc Brancheriau; Sylvie Sabatier; Adzo Dzifa Kokutse; Kouami Kokou; Marc Jaeger; Philippe de Reffye; Thierry Fourcaud
Journal:  Ann Bot       Date:  2018-06-08       Impact factor: 4.357

3.  A stochastic model of tree architecture and biomass partitioning: application to Mongolian Scots pines.

Authors:  Feng Wang; Mengzhen Kang; Qi Lu; Véronique Letort; Hui Han; Yan Guo; Philippe de Reffye; Baoguo Li
Journal:  Ann Bot       Date:  2010-11-08       Impact factor: 4.357

4.  Bayes Forest: a data-intensive generator of morphological tree clones.

Authors:  Ilya Potapov; Marko Järvenpää; Markku Åkerblom; Pasi Raumonen; Mikko Kaasalainen
Journal:  Gigascience       Date:  2017-10-01       Impact factor: 6.524

5.  A functional and structural Mongolian Scots pine (Pinus sylvestris var. mongolica) model integrating architecture, biomass and effects of precipitation.

Authors:  Feng Wang; Véronique Letort; Qi Lu; Xuefeng Bai; Yan Guo; Philippe de Reffye; Baoguo Li
Journal:  PLoS One       Date:  2012-08-22       Impact factor: 3.240

  5 in total

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