Analysing the effects of local environment on the source-sink balance of Cecropia sciadophylla: a methodological approach based on model inversion
- 167 Downloads
Functional–structural models (FSM) of tree growth have great potential in forestry, but their development, calibration and validation are hampered by the difficulty of collecting experimental data at organ scale for adult trees. Due to their simple architecture and morphological properties, “model plants” such as Cecropia sciadophylla are of great interest to validate new models and methodologies, since exhaustive descriptions of their plant structure and mass partitioning can be gathered.
Our objective was to develop a model-based approach to analysing the influence of environmental conditions on the dynamics of trophic competition within C. sciadophylla trees.
We defined an integrated environmental factor that includes meteorological medium-frequency variations and a relative index representing the local site conditions for each plant. This index is estimated based on model inversion of the GreenLab FSM using data from 11 trees for model calibration and 7 trees for model evaluation.
The resulting model explained the dynamics of biomass allocation to different organs during the plant growth, according to the environmental pressure they experienced.
By linking the integrated environmental factor to a competition index, an extension of the model to the population level could be considered.
KeywordsCecropia Functional-structural model Model inversion Morphology Trophic competition
The authors thank the students who helped us with measurements during the training program FTH organized by AgroParisTech, Kourou (UMR Ecofog): V. Bellassin, S. Braun, O. Djiwa, V. Le Tellier (FTH 2007), L. Menard, A. Jaecque, K. Amine, J. Kaushalendra (FTH 2008). We also thank B. Leudet, J. Beauchêne and F. Boyer for their help in the field, P.-H. Cournède for the use of the Digiplante software (Ecole Centrale Paris—INRIA Saclay, EPI Digiplante), and C. Sarmiento for her valuable comments on our manuscript.
This research was supported partially by an Ecos-Nord Colciencias and Paris 13 University grant (C08A01), and by the AIP INRA-INRIA of the Digiplante team-project (2008).
- Berg CC, Franco-Rosselli P (2005) Flora Neotropica, vol 94: Cecropia. New York Botanical Garden Press, New YorkGoogle Scholar
- R Development Core Team (2008) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org
- Godin C, Costes E, Caraglio Y (1997) Exploring plant topological structure with the AMAPmod software: an outline. Silv Fenn 31:355–366Google Scholar
- Letort V, Heuret P, Zalamea C, Nicolini E, de Reffye P (2009) Analysis of Cecropia sciadophylla morphogenesis based on a sink-source dynamic model. In: Li B, Jaeger M, GuoY (ed) 3rd international symposium on Plant Growth and Applications (PMA09). IEEE Computer Society, Beijing, pp 10–17Google Scholar
- Lopez G, Favreau R, Smith C, Costes E, Prusinkiewicz P, DeJong T (2008) Integrating simulation of architectural development and source-sink behaviour of peach trees by incorporating Markov chains and physiological organ function submodels into L-PEACH. Funct Plant Biol 35:761–771CrossRefGoogle Scholar
- Qi R, Letort V, Kang M, Cournède PH, de Reffye P, Fourcaud T (2009) Application of the GreenLab model to simulate and optimize wood production and tree stability: a theoretical study. Silv Fenn 43:465–487Google Scholar
- Sarrailh J-M (1992) Les pluies sur ECEREX de 1981 à 1991. Report, CIRAD-CTFT, Kourou, FranceGoogle Scholar
- Shinozaki K, Yoda K, Hozumi K, Kira T (1964) A quantitative analysis of plant form—the pipe model theory I. basic analysis. Jpn J Ecol 14:97–105Google Scholar
- Zalamea P-C (2010) Cecropia growth pattern periodicity: could a Neotropical genus be a good biological clock to estimate the age of disturbed areas? PhD thesis, Univerité Montpellier 2, FranceGoogle Scholar
- Zhan Z, de Reffye P, Houllier F, Hu B (2003) Fitting a structural-functional model with plant architectural data. In: Hu BG, Jaeger M (eds) Proceedings, Plant Growth Modeling and Applications (PMA03). Tsinghua University Press and Springer Beijing, China, pp 236–249Google Scholar