查詢結果分析
相關文獻
- Stand Adaptabilities in an Ecological Afforestion Study on the West Coast of Taiwan
- 臺灣西南沿海地層下陷地區林木受害調查與適應性評估
- 門診病患對醫院滿意度與重視度之調查以臺灣地區區域醫院為例
- 從海難事件的發生論船員與船舶間互動效能的提昇
- WWW的使用瓶頸因素及使用者區隔探討--以北區大學傳播相關學系學生為例
- Maximum Likelihood Estimation of Factor Analysis Using the ECME Algorithm with Complete and Incomplete Data
- 中醫醫院門診病人選擇醫院之考慮因素及就醫滿意度研究--以臺中市七家中醫醫院為例
- 臺灣地區花卉批發市場服務品質構成因素及其衡量之研究: 從承銷人的觀點
- 多變量分析應用在乾燥中心燃油效率分析
- 臺灣木構造房屋建築市場現況調查分析
頁籤選單縮合
題 名 | Stand Adaptabilities in an Ecological Afforestion Study on the West Coast of Taiwan=臺灣西部海岸生態造林林分之適應性研究 |
---|---|
作 者 | 程俊堯; 何坤益; | 書刊名 | 臺灣林業科學 |
卷 期 | 27:1 2012.03[民101.03] |
頁 次 | 頁41-57 |
分類號 | 436.285 |
關鍵詞 | 評估監測; 海岸防風林分; 因素分析; Evaluation monitoring; Coastal windbreak forest; Factor analysis; |
語 文 | 英文(English) |
中文摘要 | 林務局自2004年起於台灣西部海岸推動生態造林計畫,以更新改良現有防風林分,為探討海岸逆境對其造林林分之影響,經由林木適應形態與環境間之指標因素,以探討其造林林分之適應現況。本研究即自2009至2011年間針對該林分進行調查,共設置15處樣區,經由樣區林木生長量測與林木形態性狀,收集樣區土壤及氣象資料等17項介量,再將資料進行多變量變異數統計,以主成分分析及其因素分析,可將所有介量(參數)歸類成5種林木適應性指標,包括樹冠活力、氣候影響、土壤性質、林木生長、開花結實表現,可解釋總變異數的80.7%,再經鑑別分析之典型鑑別函數進行個別解釋指標之檢定,驗證林木適應指標之評等,選擇莫式法進行預測歸類獲得90.0%吻合率,顯示指標的預測率很高,結果顯示目前生態造林林分之適應良好,9個樣區已達適應值以上,僅雲林縣五條港及台西屬於中度不適應等級;再以林分之適應性受到環境因子的影響而進行迴歸分析,結果以降水量呈現線性相關,顯然目前林分宜從水分維護作業等,以提升林分之適應性。透過此指標的量化,結合於現場的觀測,可將海岸生態造林之林分進行適應分類鑑別,提供快速評估之參考依據。 |
英文摘要 | The Taiwan Forestry Bureau initiated an ecological afforestation project on the west coast of Taiwan in 2004 in order to renew and improve existing windbreak forests there. To understand the influences exerted by adverse environmental stresses on the afforested costal stands, the status of stand adaptability was monitored by examining interrelationships among tree adaptability morphologies and environmental indicators. This study spanned the period from 2009 to 2011 and monitored a total of 15 plots in which stands were surveyed. To monitor growth measurements and tree morphological characteristics in the plots and collect soil and meteorological data, 17 parameters were recorded. These data were then subjected to statistical multivariate analyses of variance. The main factors and their factorial analysis in turn allocated the parameters into 5 categories of tree adaptation level indicators, including crown vitality, climatic influences, soil properties, tree growth, and blooming and fructification performance. These indicators were capable of explaining 80.7% of the total variability. Further application of discriminant functions to individual explanatory indicators allowed adaptation levels of the stand trees to be ranked. Mos's predictive grouping of stands produced a 90% fit; indicating a high degree of predictability based on these indicators. The overall results indicated that presently the afforested stands had good adaptation levels, and 9 of them had reached a good adaptation level. Only the stands at Wutiaogang and Taixi had moderately poor adaptation levels. Furthermore, regression analyses of stand adaptation levels and environmental factors indicated that the precipitation amount showed a linear correlation with tree performance. Apparently, at present, forest tending practices should focus on maintaining soil moisture to enhance the adaptation level of the stands. Through quantification of this indicator and in combination with on-site observations, a basic reference for a rapid adaptability sorting evaluation of coastal ecological afforestation stands can be established. |
本系統中英文摘要資訊取自各篇刊載內容。