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Usefulness of multivariate analysis in forestry research: A case study of Pinus roxburghii

Journal of Pharmacognosy and Phytochemistry · 2018 · Vol. 7(2) · pp. 3508–3509

Abstract

Although resin yield may depend on a variety of characteristics, the researchers are always interested in identifying those sets of attributes which most significantly affect the resin yield of the tree. Multivariate statistical techniques are such advanced techniques that help in identifying such set of attributes. The paper deals with the application of multivariate techniques to assess the relative contribution of morphological characters in the resin production of Pinus roxburghii.

Forest ecology and managementRemote Sensing and LiDAR ApplicationsPinus roxburghiiMultivariate statisticsYield (engineering)Multivariate analysisForestryTree (set theory)Pinus <genus>MathematicsSet (abstract data type)Variety (cybernetics)
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