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Data-based stochastic modeling of tree growth and structure formation

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Data-based stochastic modeling of tree growth and structure formation. / Potapov, Ilya; Järvenpää, Marko; Åkerblom, Markku; Raumonen, Pasi; Kaasalainen, Mikko.

In: Silva Fennica, Vol. 50, No. 1, 1413, 2016.

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@article{dc655910d3ca48389eab849a5233680a,
title = "Data-based stochastic modeling of tree growth and structure formation",
abstract = "We introduce a general procedure to match a stochastic functional-structural tree model (here LIGNUM augmented with stochastic rules) with real tree structures depicted by quantitative structure models (QSMs) based on terrestrial laser scanning. The matching is done by iteratively finding the maximum correspondence between the measured tree structure and the stochastic choices of the algorithm. First, we analyze the match to synthetic data (generated by the model itself), where the target values of the parameters to be estimated are known in advance, and show that the algorithm converges properly. We then carry out the procedure on real data obtaining a realistic model. We thus conclude that the proposed stochastic structure model (SSM) approach is a viable solution for formulating realistic plant models based on data and accounting for the stochastic influences.",
keywords = "Data fitting, Form diversity, Morphological plasticity, Plant model, Quantitative structure models, Stochastic functional-structural, Terrestrial lidar",
author = "Ilya Potapov and Marko J{\"a}rvenp{\"a}{\"a} and Markku {\AA}kerblom and Pasi Raumonen and Mikko Kaasalainen",
year = "2016",
doi = "10.14214/sf.1413",
language = "English",
volume = "50",
journal = "Silva Fennica",
issn = "0037-5330",
publisher = "Suomen Mets{\"a}tieteellinen Seura ry",
number = "1",

}

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TY - JOUR

T1 - Data-based stochastic modeling of tree growth and structure formation

AU - Potapov, Ilya

AU - Järvenpää, Marko

AU - Åkerblom, Markku

AU - Raumonen, Pasi

AU - Kaasalainen, Mikko

PY - 2016

Y1 - 2016

N2 - We introduce a general procedure to match a stochastic functional-structural tree model (here LIGNUM augmented with stochastic rules) with real tree structures depicted by quantitative structure models (QSMs) based on terrestrial laser scanning. The matching is done by iteratively finding the maximum correspondence between the measured tree structure and the stochastic choices of the algorithm. First, we analyze the match to synthetic data (generated by the model itself), where the target values of the parameters to be estimated are known in advance, and show that the algorithm converges properly. We then carry out the procedure on real data obtaining a realistic model. We thus conclude that the proposed stochastic structure model (SSM) approach is a viable solution for formulating realistic plant models based on data and accounting for the stochastic influences.

AB - We introduce a general procedure to match a stochastic functional-structural tree model (here LIGNUM augmented with stochastic rules) with real tree structures depicted by quantitative structure models (QSMs) based on terrestrial laser scanning. The matching is done by iteratively finding the maximum correspondence between the measured tree structure and the stochastic choices of the algorithm. First, we analyze the match to synthetic data (generated by the model itself), where the target values of the parameters to be estimated are known in advance, and show that the algorithm converges properly. We then carry out the procedure on real data obtaining a realistic model. We thus conclude that the proposed stochastic structure model (SSM) approach is a viable solution for formulating realistic plant models based on data and accounting for the stochastic influences.

KW - Data fitting

KW - Form diversity

KW - Morphological plasticity

KW - Plant model

KW - Quantitative structure models

KW - Stochastic functional-structural

KW - Terrestrial lidar

U2 - 10.14214/sf.1413

DO - 10.14214/sf.1413

M3 - Article

VL - 50

JO - Silva Fennica

JF - Silva Fennica

SN - 0037-5330

IS - 1

M1 - 1413

ER -