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Development of the Site Index Curves for Quercus acuta Stands

Bibliographic Data

ID22350754
AuthorsSuyoung Jung (0000-0002-4372-0417, Korea Forest Service, corresponding author), Kwangsoo Lee (Korea Forest Service), Hyunsoo Kim (0000-0002-9892-1080, Korea Forest Service), Hyeok Park (0000-0003-1387-4201, Korea Forest Service), Joonhyung Park (0000-0003-4662-0099, Korea Forest Service), Hyejung Roh, Hye-Jung Roh (Korea Forest Service), Seongyeop Jeong (Korea Forest Service), Yeongmo Son (0000-0002-9346-4351, Korea Forest Service)
Year2023
Volume26
Issue6
Pages761-768
Publication date2023-12-31
Open AccessYes
TypeARTICLE
VenueJournal of People, Plants, and Environment (JOURNAL)
Journal identifiersISSN: 2508-7673 • E-ISSN: 2508-7681
PublisherKorean Society for People, Plants, and Environment (PUBLISHER)
DOI10.11628/ksppe.2023.26.6.761
OpenAlexW4391077567
LanguageEN
References cited10

Background and objective: The purpose of this study is to develop a model for estimating the site index (SI), which is the criterion for determining the site productivity of the Quercus acuta stand as known as Evergreen broad-leaved tree (EBLT) species.Methods: The materials used in the analysis were data from 63 sample plots, and the sample plots data were collected from the National Forest Inventory (NFI) and other sites. Since the site index is determined by the height and stand age of the dominant trees, the Schumacher model, the Chapman-Richards model, and the Weibull model were applied to derive the optimal equation for estimating the dominant tree height.Results: The three models derived the parameters and went through a statistical test. Among the three models, the Chapman-Richards model was found to be optimal considering the fitness index, bias, and residuals. By transforming this model, site index estimation equations with the reference age of 30 years were created, and site index curves were derived. According to the analysis of the collected data, the site index of the Quercus acuta stand in Korea was found to be in the range of 10 to 16.Conclusion: As the growth distribution of Quercus acuta is expected to move north due to climate change, the derivation of the site index representing site productivity will be helpful in making policy and management decisions for this species

Biology · Evergreen · Forest Inventory · Forest management · Geography · Site index · Statistics · Ecology and Conservation Studies · Forest ecology and management · Mathematics · Remote Sensing and LiDAR Applications · Ecology · Forestry

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