Individual Tree Basal Area Increment Models for Brazilian Pine (<i>Araucaria angustifolia</i>) Using Artificial Neural Networks

Individual Tree Basal Area Increment Models for Brazilian Pine (<i>Araucaria angustifolia</i>) Using Artificial Neural Networks

This research aimed to develop statistical models to predict basal area increment (BAI) for <i>Araucaria angustifolia</i> using Artificial Neural Networks (ANNs). Tree species were measured for their biometric variables and identified at the species level. The data were subdivided into t...

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Bibliographic Details
Main Authors: Lorena Oliveira Barbosa, Emanuel Arnoni Costa, Cristine Tagliapietra Schons, César Augusto Guimarães Finger, Veraldo Liesenberg, Polyanna da Conceição Bispo
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Forests
Subjects:
increment
individual tree modeling
dendrometric and morphometric variables
competition indices
mixed forest
Online Access:https://www.mdpi.com/1999-4907/13/7/1108

Internet

https://www.mdpi.com/1999-4907/13/7/1108

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