2011 Fiscal Year Final Research Report
Predicting the spatial distribution of growth in hardwood forest areas
Project/Area Number |
21580175
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Forest science
|
Research Institution | The University of Tokyo |
Principal Investigator |
TATSUHARA Satoshi 東京大学, 大学院・農学生命科学研究科, 准教授 (40227103)
|
Project Period (FY) |
2009 – 2011
|
Keywords | 回帰モデル / 広葉樹 / バイオマス / 林分材積 |
Research Abstract |
This study examined methods, especially regression methods, used to estimate the spatial distribution of growth in forest areas where hardwoods dominated. Generalized non-linear regression proved to be useful for developing equations to represent individual tree biomass. The stand biomass could be estimated accurately using a stand volume . biomass model developed using generalized non-linear regression. Geographically weighted regression proved to be useful for predicting the spatial distribution of stand volume.
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Research Products
(5 results)