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Proceedings Paper

Quantitative factor analysis of forest resources in Changbai mountain areas
Author(s): Lingbin Yang; Xia Zhang; Jin Wu; Bin Zou; Le Chang
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Paper Abstract

Nine forest characteristic indicators are developed for differentiating the features and laws of the forest geographical distribution of the 22 cities (or counties) in Changbai mountain areas by factor analysis. It can be found from the factor eigenvalue and cumulative contribution rate that the basic characteristics of forest composition can be conveyed by three main factors, that is, the natural forest, plantations, and near mature forest, which reflect 86.7% of the overall forest features information. According to the analysis of common degrees, the former three factors have reached more than 90% and the forest coverage and open forest volume features have achieved almost 80% while the over mature forest area and young growth have got to 70%-75%, which determine the general characteristics of forest composition. According to orthogonal factor scores, the contour map is plotted to disclose the features and laws of the forest geographical distribution. In conclusion, there is obvious uniqueness and regionality for the characteristics and geographical distribution of forest composition in Changbai mountain areas. The main factors restricting the quantity and quality of forest are natural forest, plantations, and near mature forest. Quantitative factor analysis on the forest resources in Changbai mountain areas can better reflect the characteristics of forest composition. In addition, the geographical distribution laws of forest composition characteristics can also be revealed, providing a reliable scientific basis for the rational exploitation of forest resources, the revitalization of Jilin economy, as well as the ecological environment protection.

Paper Details

Date Published: 16 October 2009
PDF: 7 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74923B (16 October 2009); doi: 10.1117/12.837831
Show Author Affiliations
Lingbin Yang, Northeast Normal Univ. (China)
Xia Zhang, Northeast Normal Univ. (China)
Jin Wu, Northeast Normal Univ. (China)
Bin Zou, Central South Univ. (China)
Le Chang, Northeast Normal Univ. (China)


Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

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