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Analyzing spatial structures in forest tree architectures

Guédon Y., Barthélémy D., Caraglio Y.. 1999. In : Amaro A. (ed.), Tomé M. (ed.). Empirical and process-based models for forest tree and stand growth simulation = [Modèles empiriques et mécanistes pour la simulation de la croissance d'arbres et de peuplements forestiers]. Oeiras : Salamandra, p. 23-42. Workshop on Empirical and Process-based Models for Forest Tree and Stand Growth Simulation, 1997-09-21/1997-09-27, Oeiras (Portugal).

The problem of analyzing spatial structures in forest tree architectures is addressed. Data samples consist of sequences of homogeneous botanical entities (node or annual shoot) where attributes are recorded for each successive entity (type of axillary production at the node level or length of the annual shoot). The data analysis methodology proposed includes various tools for exploratory analysis and the building of stochastic processes (hidden semi-Markov chains) from samples of discrete multivariate sequences whose aim is to capture the structure embedded in these sequences. This methodology is illustrated at the node level on growth units of red oak main stems and, at the annual shoot level, on corsican pine main stems.

Mots-clés : quercus rubra; pinus nigra; port de la plante; tige; noeud; analyse de données; méthode statistique; modèle de simulation; ramification; france; architecture végétale

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