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棲蘭山檜木天然更新林地林分構造之研究

The Cypress Stand Structure of Natural Regeneration Sites in Chi-lan-shan Area

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摘要


臺灣之檜木通常由臺灣扁柏及紅檜兩樹種組成,均爲珍貴價值甚高之鄉土樹種,由於以往歷經多年之砍伐,本省天然檜木林蓄積量日減,惟本省東北部之棲蘭山林區仍存有大面積之天然檜木林,本試驗即探討該區不同年度及地點之伐木跡地,其林分狀況和樹種組成,並以Weibull機率密度函數,描述其主要樹種直徑分布狀況及探討臺灣扁柏之各項生長性狀,以做爲此林分撫育管理之參據。 棲蘭山檜木天然更新造林地,不同更新年度,其林分構造亦異。天然更新成功與否,仍視生育地土壤、氣候、植被、經驗及施業技術而定。臺灣扁柏幼年生長極爲緩慢,約至8年生,始達胸高部位,因此初期撫育極為重要,否則容易被雜草凌壓致死。成功之檜木天然更新林分以Weibull機率密度函數配合其直徑分布,並以K-S測驗,配合適度良好,又其胸徑與樹冠長、樹冠幅有直線之正相關,而與枝下高之關係則以二次曲線較佳。而胸徑與樹高關係之最佳模式為:H=e(上標 0.87247+1.8441 logD)。

並列摘要


In general, the so called Taiwan cypress is composed of red cypress and Taiwan hinoki falsecypress. They are native to Taiwan and are economically highly valuable species. Owing to many years heavy loging in the past, the stocking level of cypress stand have decreased gradually. However, extensive distribution of natural cypress still exists in Chi-lan-shan area located in northeast Taiwan. The purpose of this study is to investigate the structure and species composition of cypress stands located in this area which were logged in different years. Weibull probability density function was used as the model to study the diameter distribution of the main species. Various growth attributes were also evaluated. The results of the study will be useful as in the management of these natural stands. The stand structure of natural regeneration sites varied depending on the year when regeneration ocured. The site, climate, plants, experiences and skillfulness are indispensable to the sucess of natural regeneration of cypress. The early growth of naturally regenerated seedlings are very slow and they won't reach breast height until eight years old. As such, they should be cared during their early stage of development or they will be suppressed by competing vegetations. After testing the fitness by K-S test, it was found that Weibull function could describe the diameter distribution of the successfully regenerated cypress stand. There are positive correlations among DBH, crown length and crown width; the curve model, however is better than linear model in describing the relation between DBH and living clear length (LH). And the best regression equation for DBH (D) and tree height (H) is: H=e(superscript 0.87247+1.8441 logD).

被引用紀錄


詹琬婷(2004)。由樹輪分析探討棲蘭山台灣扁柏更新機制〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2004.01308

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