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建立都市樹木材積式以提升碳貯存量推估準確度-以臺北市樟樹(Cinnamomum camphora)為例

ALLOMETRIC EQUATIONS FOR ESTIMATING THE ABOVEGROUND VOLUME AND CARBON STOCK OF URBAN TREES: AN EXAMPLE OF CINNAMOMUM CAMPHORA IN TAIPEI CITY

摘要


都市樹木是碳貯存重要的角色之一,而樹木材積估算結果是影響碳貯存估算準確度的重要因子。本研究以臺北市常見的行道樹樟樹(Cinnamomum camphora)為例,使用地面光達(LiDAR)調查樟樹樣木主幹以及全株主要枝幹2種類型材積,分別建立單變數(胸徑)與雙變數(胸徑與樹高)之材積式。結果顯示各相對關係式之推估表現均相當優良,又以包含胸徑與樹高之雙變數模式預測表現更佳。經比較本研究建立之材積式,以及傳統森林常用之材積估算方法,材積估算結果具有顯著差異(F = 32.229, p < 0.01),顯示臺北市樟樹應使用本研究建立之材積式進行材積估算以提升準確性。另外碳貯存估算部分,本研究發現使用森林區域樹木建立之生物量擴展係數(BEF),將會低估臺北市樟樹地上部碳貯存量,可透過估算主要枝幹碳貯存量以獲得更接近真實之樹木碳貯存量。

關鍵字

都市樹木 材積式 地面光達

並列摘要


Urban trees play an important role in carbon storage. The result of the tree volume estimation is an important factor affecting the accuracy of the carbon storage calculation. In this study, we took camphor tree (Cinnamomum camphora), a common street tree in Taipei City, as an example, and we used the LiDAR to investigate the volume of trunk and main branches, and established the allometric equation of DBH-based and DBH-and-height-based respectively. The results show that each allometric equation provides highly accurate estimation, and the DBH-and-height-based equation is even better. We also found that there has significantly different (F = 32.229, p < 0.01) from the results estimated by allometric equation developed in this study and volume estimation method commonly used in traditional forests. Thus, the volume estimation of camphor trees in Taipei City should be done using the allometric equations established in this study to improve the accuracy. Furthermore, we found that using the biomass expansion factor (BEF) developed from the forest trees would underestimate the above-ground carbon storage of camphor trees in Taipei City. Therefore, the carbon storage of the trunk and main branches could be calculated to get a more accurate carbon storage of urban trees.

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