Predicting Site Indices of Japanese Cedar Plantation in Niigata Prefecture using Environmental Factors

• Munajati Sri Lestari

  Faculty of Agriculture, Niigata University

• Abe Nobuyuki

  Faculty of Agriculture, Niigata University

• Tsukahara Masami

  Niigata Forest Institute

Abstract

The objectives of this study were (a) to evaluate the correlation of environmental factors with the site index of Japanese cedar, and (b) to develop the best-fit equation model for the site index. Multiple regression models for a site index of sugi plantation in Niigata Prefecture were constructed using environmental factors as independent variables. The environmental factors used were climate data (snow depth), soil type data and topographical data (aspect, slope, elevation, hillshade, distance from ridge, wetness and curvature). Through a backward stepwise procedure, the elevation, hillshade and soil type were selected for a best-fit regression model. In this model the multiple correlation coefficient was 0.523, and standard error estimate 2.84m.

Journal

• Journal of Forest Planning

  Journal of Forest Planning 15 (1), 45-51, 2009

  Japan Society of Forest Planning

Keywords

• GIS
• site index of sugi plantation
• environmental factors
• multiple regression model

Details

• CRID: 1390001204440776704
• NII Article ID: 110009357752
• NII Book ID: AA11059168
• DOI: 10.20659/jfp.15.1_45
• ISSN: 21898316
• ISSN: 1341562X
• Web Site: https://www.jstage.jst.go.jp/article/jfp/15/1/15_KJ00007911453/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed