Improved Yield Prediction Model for Teak Plantations in Northeastern Thailand

Material type: 図書

Author: Vacharangkura, Tospornほか

Publisher: Japan International Research Center for Agricultural Sciences

Publication date: 2017-03-17

Material Format: Digital

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Note (General)：: To predict the yield of teak plantations in Northeastern Thailand, the new site index function was developed for predicting dominant tree height in te...

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Material Type: 図書
Title: Improved Yield Prediction Model for Teak Plantations in Northeastern Thailand
Author/Editor: Vacharangkura, Tosporn
Krongkitsiri, Viroj
Himmapan, Woraphun
Noda, Iwao
Author Heading: Vacharangkura, Tosporn
Krongkitsiri, Viroj
Himmapan, Woraphun
Noda, Iwao
Publication, Distribution, etc.: Japan International Research Center for Agricultural Sciences
Publication Date: 2017-03-17
Publication Date (W3CDTF): 2017-03-17
Periodical title: JIRCAS Working Report : Improvement of Utilization Techniques of Forest Resources to Promote Sustainable Forestry in Thailand
No. or year of volume/issue: 85
Volume: 85
Pages: 75-85
ISSN (Periodical Title): PISSN : 1341-710X
Text Language Code: eng
Area Coverage: Thailand
タイ
Subject Heading: Non-linear regression model
Dominant tree height
Site index
Stand volume
Stem volume
Stand density
Stand age
Target Audience: 一般
Note (General): To predict the yield of teak plantations in Northeastern Thailand, the new site index function was developed for predicting dominant tree height in teak stands. The Gompertz function was applied as the site index curve to improve the existing yield model. From the model, we computed the stem volume, stand basal area, stand volume, and stand density of the test plots were using site index values derived using the new site index function. These stand aggregates were compared to the previous model. The results revealed that the statistical indicators used to evaluate the performance of the two models provided smaller values in the present model than in the previous model. This confirmed that the improved yield model had greater accuracy and precision than the previous model. The improved yield model could be applied to generate a new yield prediction table for teak plantations in Northeastern Thailand.
DOI: 10.34556/0002000303
Format (IMT): application/pdf
Source: jircas_working_report85-_75-85 （fulltext）
https://jircas.repo.nii.ac.jp/record/2000303/files/jircas_working_report85-_75-85.pdf
Access Restrictions: インターネット公開
Periodical Title: DOI
https://doi.org/10.34556/0002000291
Periodical Title (DOI): 10.34556/0002000291
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 国際農林水産業研究センター : 国際農研機関リポジトリ