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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.author | Ya-Chun Wang | en |
| dc.contributor.author | 王雅諄 | zh_TW |
| dc.date.accessioned | 2021-07-01T08:12:30Z | - |
| dc.date.available | 2021-07-01T08:12:30Z | - |
| dc.date.issued | 2002 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/75283 | - |
| dc.description.abstract | 本研究於南仁山亞熱帶雨林，欖仁溪三公頃永久樣區內，以兩種取樣方法：樣區法及樣樹法，進行木本植物地上部生物量及林分葉面積指數的估算調查。 以樣區法得到三公頃樣區內的生物量為：337.26 ton/ha，葉面積指數為3.24。以樣樹法，得到胸高直徑與生物量的對數迴歸關係式： ln(Y)=2.8623*ln(X)+4.4035 X : DBH (cm) R2=0.9493 Y : Biomass (g) 帶入樣區調查每木資料計算，得到樣區內生物量為：551.75 ton/ha，葉面積指數為4.49。 比較兩種取樣法的估算差異，樣區法所得到的生物量值較低，葉面積指數亦較小。可能是因為當取樣面積不夠大時，會忽略掉部分大徑級的樹木，而低估其在森林中所佔的生物量，如此看來，利用樣樹法得到胸高直徑與對應生物量的迥歸關係式，再帶入樣區每木調查資料做計算，較能反應一森林組成上的變異性。 樣區內的生物量有明顯集中於幹部的現象，超過總量的80％以上，且大徑級(DBH>10cm)的植株量雖少，僅佔10.13%，卻佔有區內87.17%的生物量。生物量及葉面積指數在四個生育地類型間有顯著差異，背風坡的生物量最高，迎風坡的葉面積指數最大。以1991及1997年兩次樣區普查的資料看來，七年問生物量成長了9.93%，葉面積指數亦上升了9.83%，1991至1997年的七年間生物量成長速率為7.12 ton/ha*yr。 與 台灣其他地區的森林生物量研究做比較，本研究估算出的生物量值較高，葉面積指數則較低，除了因為調查方法上的不同，所可能造成的估算差異外，森林結構、物種組成的不同，以及環境條件如溫度、降雨等因數的影響，都可能使得估算的結果產生不同，究竟哪一個因數的影響力最大，則需要進一步的研究證實。 | zh_TW |
| dc.description.abstract | The present research used two sampling methods, sampling the quadrat and sampling the tree, to estimate the aboveground woody biomass and the leaf area index (LAI) of a subtropical rain forest in Nanjenshan. The biomass estimation resulted from the quadrat method is 337.26 ton/ha and the LAI is 3.24. Using the tree sampling method gained the allometric equation between DBH and estimated biomass: ln(Y)=2.8623*ln(X)+4.4035 X : DBH (cm) R2=0.9493 Y : Biomass (g) Applied this regression equation to forest community of the permanent plot suggested the biomass estimation value of 551.75 ton/ha and the LAI of 4.49. The biomass and LAI estimation of the quadrat method are both less than the result from the tree sampling method. That is probably because the quadrat area is not large enough and the tree of larger DBH class may be lost. As a result, the biomass of the forest will be underestimated. Therefore, combined regression equation and forest inventory data to estimate the aboveground woody biomass is a better method which can better reflects the variety of the forest. The fraction of stem wood was much higher than other parts, and was over 80% of the aboveground biomass value. The total trees with dbh larger than 10 cm accounted for 10.13% of all individuals, but was 87.17% of the aboveground biomass total. Biomass values and LAI of the four habitats are significantly different from each other. The highest biomass estimation value was observed in the leeward region and the highest LAI was in the windward region. Biomass value increased 9.93% and LAI raised 9.83% between 7-year period. The biomass increment rate was estimated as 7.12 ton/ha*yr. The biomass estimation value of this research is higher and the LAI is lower than those from other forests of Taiwan. In spite of the different investigation methods used, other factors can affect the result of the estimation, for example the variety of forest structure and composition species, environmental condition of temperature and precipitation, etc. But which one affects the most of the estimation should be proved by further research. | en |
| dc.description.provenance | Made available in DSpace on 2021-07-01T08:12:30Z (GMT). No. of bitstreams: 0 Previous issue date: 2002 | en |
| dc.description.tableofcontents | 目 次……………………………………………………………………………………………………………………Ⅰ 附表目次……………………………………………………………………………………………………………………Ⅲ 附圜目次……………………………………………………………………………………………………………………Ⅳ 中文摘要……………………………………………………………………………………………………………………Ⅴ 英文摘要……………………………………………………………………………………………………………………Ⅵ 壹、前言……………………………………………………………………………………………………………………1 貳、研究區環境概述………………………………………………………………………………………………………5 參、研究區植被概況與森林動態…………………………………………………………………………………………8 肆、研究方法………………………………………………………………………………………………………………13 伍、結果……………………………………………………………………………………………………………………17 一、兩種取樣法的估算結果(針對森林現況) ……………………………………………………………………17 1．樣區法………………………………………………………………………………………………………17 2．樣樹法………………………………………………………………………………………………………21 3. 兩種取樣法的比較…………………………………………………………………………………………25 二、以樣樹法所得迴歸式估算生物量在兩次調查間及不同生育地間的差異……………………………………26 1. 兩次植被調查間的差異 ……………………………………………………………………………………26 2．四個生育地間的差異 ………………………………………………………………………………………27 三、欖仁溪樣區的生物量與葉面積指數現況分佈地圖（依據1997年資料）……………………………………28 陸、討論……………………………………………………………………………………………………………………30 調查方法………………………………………………………………………………………………………………30 木材密度…………………………………………………………………………………………………………30 兩種取樣法……………………………………………………………………………………………………………31 取樣樹法…………………………………………………………………………………………………………31 加入樹高參數的生物量迴歸式…………………………………………………………………………………32 葉面積迴歸式……………………………………………………………………………………………………33 兩種取樣法造成估算結果差異的可能原因……………………………………………………………………34 生物量在植株上的分佈情形…………………………………………………………………………………………35 生物量有絕大部分集中在幹部的情形…………………………………………………………………………35 葉量資料與凋落葉量資料的連結………………………………………………………………………………35 生物量與葉面積指數在兩次調查間的變化…………………………………………………………………………37 生物量的變化……………………………………………………………………………………………………37 葉面積指數的變化………………………………………………………………………………………………37 生物量與葉面積指數在四個生育地間的差異………………………………………………………………………37 與前人研究之比較……………………………………………………………………………………………………38 染、結論……………………………………………………………………………………………………………………42 捌、參考文獻………………………………………………………………………………………………………………43 玖、附錄……………………………………………………………………………………………………………………50 附錄1、南仁山欖仁溪樣區前十名優勢樹種程級分級範圍與各級取樣株數表……………………………………50 附錄2、差異性分析結果(表1-3) ……………………………………………………………………………………52 附錄3、南仁山欖仁溪樣區前十名優勢樹種DBH對應生物量迴歸式 ………………………………………………54 附錄4、南仁山欖仁溪樣區前十名優勢樹種DBH對應葉面積迴歸式 ………………………………………………55 附錄5、樣區法中四個小樣區植物組成名錄…………………………………………………………………………56 | |
| dc.language.iso | zh-TW | |
| dc.title | 南仁山亞熱帶雨林木本植物生物量之估算 | zh_TW |
| dc.title | The Woody Biomass Estimation of a Subtropical Rain Forest in Nanjenshan | en |
| dc.date.schoolyear | 90-2 | |
| dc.description.degree | 碩士 | |
| dc.relation.page | 57 | |
| dc.rights.note | 未授權 | |
| dc.contributor.author-dept | 生命科學院 | zh_TW |
| dc.contributor.author-dept | 植物科學研究所 | zh_TW |
| 顯示於系所單位： | 植物科學研究所 | |
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