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題名 | 利嘉野生動物重要棲息環境之植群生態研究=Study of the Vegetation Ecoloy of Lijia Major Wildlife Habitat |
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作者 | 黃俊元; 謝思怡; 李祈德; 彭仁君; 葉慶龍; | 書刊名 | 林業研究季刊 |
卷期 | 34:1 2012.03[民101.03] |
頁次 | 頁39-52 |
分類號 | 371.5 |
關鍵詞 | 植群分類; 群叢; TWINSPAN; DCA; Vegetation classification; Associations; |
語文 | 中文(Chinese) |
中文摘要 | 利嘉野生動物重要棲息環境位於臺東縣卑南鄉境內國有林山區,面積為1,022 ha,海拔介於300-1,865 m之間。本研究於該區內共設置66個500m2樣區,針對胸徑大於1cm之木本植物進行調查,評估八項環境因子,以雙向指標種分析法 (TWINSPAN) 進行植群分類之探討,並使用降趨對應分析 (DCA) 以瞭解植群分化與環境因子的相關性。結果顯示調查範圍內共記錄有45科97屬145種 木本植物,其中瀕臨絕滅種2種、易受害種3種、低危險種1種,物種組成以樟科佔最多。植群分類共分出六個群叢,分別為山黃麻—豬母乳群叢、交力坪鐵色—山龍眼群叢、銳脈木薑子—錐果櫟群叢、臺灣杜鵑群叢、假長葉楠—長葉木薑子群叢及大葉溲疏—臺灣赤楊群叢。DCA分析結果,海拔、地形位置及含石率為影響植群組成最主要的環境因子。 |
英文摘要 | Lijia Major Wildlife Habitat, occupying 1,022 ha., is located at elevations between 300-1,865m in the national forest within Beinan Township, Taitung County. Sixty-six plots of 500m2 are sampledin this area. To investigated the woody plant stems are greater than 1cmdbh. Eight environmental factorsare measured and estimated for each plot. The aims of this study are to classity the major vegetation typesand to analyze their connection with the environmental factors. Plant communities are classified by usingTWINSPAN (two-way indicator species analysis), and species-environment relationships are examinedby using detrended correspondence analysis DCA (Detrended correspondence analysis). According to theresearch, 145 species of woody plants belonging to 45 families and 97 genera are recorded in the plots.Among them, 2 species are endangered, 3 species are vulnerable, and 1 species has a low level of risk. Theplant communities are classified into 6 major associations, namely the Trema orientalis - Ficus fi stulosaASS., Drypetes karapinensis - Helicia formosana ASS., Litsea acutivena - Cyclobalanopsis longinux ASS.,Rhododendron formosanum ASS., Machilus japonica - Litsea acuminata ASS., and Deutzia pulchra -Alnus formosana ASS. The results of DCA indicated that elevation, topographic position, and stoniness aresignificantly relative to the vegetation composition. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。