Research Project
Grant-in-Aid for Young Scientists (B)
I developed a new method for predicting site index of sugi and karamatsu planted forests. Precise observation of site index requiring a high cost has been needed to develop site index prediction model. I applied a new statistical technique to improve this point. Site index models developed by this new method had enough accuracy comparing to the conventional high cost method. This new method provides low cost approach for modeling site index and will contribute to achieve more appropriate planted forest management.
All 2015 2014
All Journal Article (2 results) (of which Peer Reviewed: 2 results, Open Access: 1 results, Acknowledgement Compliant: 1 results) Presentation (5 results)
FORMATH
Volume: 14 Issue: 0 Pages: 20-26
10.15684/formath.14.003
130005131030
Forest Resources and Mathematical Modeling
Volume: 13