-
- TANAKA Kazuhiro
- Fac. of Agric., Univ. of Tokyo Fac. of Agric., Mie Univ.
-
- ISHIBASHI Seiji
- Fac. of Agric., Univ. of Tokyo
-
- TAKADA Norikazu
- Tokyo Univ. Forest in Hokkaido
-
- SHIBATA Susumu
- Tokyo Univ. Forest in Hokkaido
-
- NAGUMO Hidejiro
- Fac. of Agric., Univ. of Tokyo
Bibliographic Information
- Other Title
-
- 多変量解析法による天然林の林型区分 (I)
- 多変量解析法による天然林の林型区分-1-択伐林分の場合
- タヘンリョウ カイセキホウ ニ ヨル テンネンリン ノ リンガタ クブン 1
- 択伐林分の場合
- The case of selection forests in Hokkaido, Japan
Search this article
Abstract
For the management of natural forests, it is impracticable to have too many forest types. This paper analyzes the relationships between data describing each of the natural selection forests that make up the Tokyo University Forest in Hokkaido. Multivariate analysis is applied to the survey results, and the possibility of subdividing the forest into different natural forest types is considered. The density distribution of the number of trees in six tree-species groups and six diameter classes are used as the basic data. The analysis proceeds as follows: 1) Natural selection forests are classified using cluster analysis, and a dendrogram for each is drawn. 2) Using principal component analysis the score of each of the survey results is plotted on three scatter diagrams. 3) The relationships between each natural forest stand and the trends of changes in each stand are considered using both a dendrogram and three scatter diagrams. 4) Finally, using the results of the analysis, the suitability of different combinations of aggregation in the classification of natural selection forests is discussed from the point of view of the forest manager. The results were consistent with experience and showed the advantages of using multivariate analysis for the classification of natural forest stands.
Journal
-
- JOURNAL OF THE JAPANESE FORESTRY SOCIETY
-
JOURNAL OF THE JAPANESE FORESTRY SOCIETY 69 (4), 127-135, 1987
THE JAPANESE FORESTRY SOCIETY
- Tweet
Details 詳細情報について
-
- CRID
- 1390282681336492160
-
- NII Article ID
- 110002841311
-
- NII Book ID
- AN00198561
-
- ISSN
- 21858195
- 0021485X
-
- NDL BIB ID
- 3135285
-
- Data Source
-
- JaLC
- NDL
- CiNii Articles
-
- Abstract License Flag
- Disallowed