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Using Uncertainty of Bayesian Theorem to Predict Mortality of Tree in Forest Growth Simulation System

Published: 05 January 2018 Publication History

Abstract

Researchers have done a lot of methods to link between growth rate and mortality. However, very little information about the uncertainty involve in tree mortality process. In this study, we presented the mortality prediction in forest simulation system by using uncertainty technique of Bayesian approach based on individual tree. The prediction will take account the overlapping of tree crowns, whether the species are shade tolerance or intolerance and the number of years the tree is under shade of suppression. The system will display the end status of the tree. The decision of the end status of the tree for dead tree is based on the ranking of the tree. The tree has higher potential to be dead if it is under suppression for several cycles. This new approach appears practicable particularly on its ability to project the mortality trees in their respective location. In addition, this approach will improve the decision-making process of the sustainable management of tropical forest as well as to improve its information database system.

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  • (2022)Predicting individual tree mortality in tropical rain forest using decision tree with improved particle swarm optimizationInternational Journal of System Assurance Engineering and Management10.1007/s13198-022-01706-1Online publication date: 29-Jun-2022

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  1. Using Uncertainty of Bayesian Theorem to Predict Mortality of Tree in Forest Growth Simulation System

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    cover image ACM Other conferences
    IMCOM '18: Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication
    January 2018
    628 pages
    ISBN:9781450363853
    DOI:10.1145/3164541
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 05 January 2018

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    Author Tags

    1. Bayes theorem
    2. Simulation
    3. Tree mortality
    4. Uncertainty technique

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    IMCOM '18 Paper Acceptance Rate 100 of 255 submissions, 39%;
    Overall Acceptance Rate 213 of 621 submissions, 34%

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    • (2022)Predicting individual tree mortality in tropical rain forest using decision tree with improved particle swarm optimizationInternational Journal of System Assurance Engineering and Management10.1007/s13198-022-01706-1Online publication date: 29-Jun-2022

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