Estimation of biomass and canopystructure in a yellow cypress stand ofYung-Yang Lake forest ecosystem
| Autor: | Kai-Shin Chen, 陳凱欣 |
|---|---|
| Rok vydání: | 2005 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 93 The objective of this study was to estimate the aboveground biomass and to analyze the canopy structure of a naturally regenerated yellow cypress (Chamaecyparis obtusa var. formosana) forest in Yuanyang Lake (YYL) site. Eight trees of difference size classes were selected and destructive methods were applied. The results showed high correlations among DBH, tree height, number of branch, and crown profile of these trees, but not for living clear height. The biomass of leaf, branch and stem increased as DBH increased. The leaf, branch and stem components and total biomass of this stand were 12.3(13.9％), 13.5(15.4％), 62.2(70.7％), and 88.0 ton ha-1, respectively. The biomass fraction of stem was much higher than that of leaf and branch. The biomass of leaf and branch were concentrate of in the upper or middle parts of the crown. The branch density decreased vertically. The horizontal and vertical dimensions of the primary branches increased from the apex downwards, and reached a maximum around the crown base for the horizontal component and around the middle of the crown for the vertical component. The inclination of the branch relative to the horizontal plane showed a poor correlation with tree height. Cumulative leaf mass increased with distance from the crown apex in the upper part of the crown, but the increase was less in the lower part of the crown. The leaf weight can be used to discriminate upper and lower crown by maximum leaf density distribution. The branches were not evenly distributed in every direction. The direction of the branches varied with sample trees. Uaing hemispherical photography, the average leaf area index of the study site in 2004 was 5.93. There was little seasonal in mean leaf area index of the stand, but varied a lot for some plots at the study site. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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