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Relative branch size in branch clusters modelled through a Markovian process

A. Zubizarreta-Gerendiain and M.P. Fernández

Ecological Modelling, 2014, vol. 273, issue C, 210-219

Abstract: Information on tree canopy architecture is crucial in forestry practice because the quality and price of standing trees and final logs directly depend on it. Simultaneously, accurate empirical or functional–structural models require information based on field observations. Pinus radiata is a polycyclic species that follows an acrotony law when forming a new branch cluster, showing smaller branches in its base and larger ones at the top of a forming cluster. The objective of this study was to describe the acrotony of the branches in a branch cluster as a Markov chain. Markov chains represent stochastic processes in discrete time that undergo a transition from one state to another among a finite number of possible states. The probability of transition from state i to a state j depends only on the current state, i. For modelling acrotony, the relative vigour (expressed as relative branch diameter in relation to the largest one) of each branch was selected as the stochastic variable and the states corresponded to five possible relative size ranges.

Keywords: Branching; Markov process; Stochastic modelling; Acrotony; Pinus radiata (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:273:y:2014:i:c:p:210-219

DOI: 10.1016/j.ecolmodel.2013.11.012

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