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Application of principal component analysis (PCA) in taxonomy research to derive plant functional types for use in dynamics models

Published: 08 January 2015 Publication History

Abstract

Forest management is essential for maintaining environmental stability and ecological biodiversity. The high species diversity of tropical rainforest forests obstructs the development of forest dynamic models. A lot of tree species exist in the forest for which each type of species will have insufficient data for reliable parameter estimation. The best way to avoid bias prediction is to group the trees based on their characteristics similarity. In a tropical rain forest in Koh Kong province, Cambodia, four species groups have been classified using statistical analyses of principal component analysis (PCA) and cluster analysis. Some indices related to diameter structure, growth, mortality and recruitment of species were formed from measurement data rather than the parameter estimates of some predetermined growth regression functions.

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  • (2020)Tree-mapping Technique as a Computer System for Sustainable Forest Management2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)10.1109/IMCOM48794.2020.9001695(1-6)Online publication date: Jan-2020

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  1. Application of principal component analysis (PCA) in taxonomy research to derive plant functional types for use in dynamics models

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    cover image ACM Conferences
    IMCOM '15: Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication
    January 2015
    674 pages
    ISBN:9781450333771
    DOI:10.1145/2701126
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    Published: 08 January 2015

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    Author Tags

    1. classification
    2. cluster analysis (CA)
    3. diversity
    4. principal component analysis (PCA)

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    • (2022)Riparian health conditions of headwater streams in Southwestern NigeriaInternational Journal of River Basin Management10.1080/15715124.2022.204771021:3(539-550)Online publication date: 20-Mar-2022
    • (2020)Tree-mapping Technique as a Computer System for Sustainable Forest Management2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)10.1109/IMCOM48794.2020.9001695(1-6)Online publication date: Jan-2020

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