Journal of the Japanese Forest Society
Online ISSN : 1882-398X
Print ISSN : 1349-8509
ISSN-L : 1349-8509
Articles
Improved Yield Prediction Information for Sugi (Cryptomeria japonica) Plantations Applied to Long-rotation Management in Kagoshima Prefecture
T. NagahamaH. Kondoh
Author information
JOURNAL FREE ACCESS

2006 Volume 88 Issue 2 Pages 71-78

Details
Abstract
To predict the yield of sugi (Cryptomeria japonica) plantations on a long rotation in private forests in Kagoshima Prefecture, the stand-density control diagram, site quality curve, and yield table were improved. The curvilinear equations required for the stand-density control diagram, including the full density curve equation, were also improved. Consequently, the new diagram may be more accurate than the existing diagram. The Mitscherlich function was applied as the site quality curve. Using the function, site quality was divided into three ranks. Using the average height of the dominant trees to decide site quality and the functions in the stand-density control diagram, the numerical values for the stand composition factor in the yield table were computed. Consequently, the stand-density control diagram, site quality curve, and yield table were shown to be correlated. The estimated numerical values of the stand composition factor in the yield table in this study were better than the values derived using the existing method. During long-rotation management of sugi plantations in our prefecture, improvement of the yield prediction information has been an important problem. The stand-density control diagram and yield table produced in this study should improve the efficiency with which the forestry engineers of our prefecture manage forest stands on long rotation.
Content from these authors
© 2006 The Japanese Forest Society
Next article
feedback
Top