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博碩士論文 etd-0827107-104513 詳細資訊
Title page for etd-0827107-104513
論文名稱
Title
以指標克利金法預測荖濃溪流域之植群空間分布
Vegetation distribution predicting in Laonong River basin with Indicator Kriging
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
43
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2007-07-26
繳交日期
Date of Submission
2007-08-27
關鍵字
Keywords
植群預測、指標克利金法、植群分布
indicator kriging, vegetation distribution, vegetation prediction
統計
Statistics
本論文已被瀏覽 5661 次,被下載 1968
The thesis/dissertation has been browsed 5661 times, has been downloaded 1968 times.
中文摘要
為了克服地形與人力資源的限制,植群預測是作為植物資源調查的一項重要工具,在植群預測時可以使用考量環境因子的模式預測與資料內插的空間分布預測,本研究使用指標克利金法來進行荖濃溪流域的植群預測,群叢分布的結果由各植群之特徵種疊加而成,特徵種的選擇則是參考群團分析法和雙向指標種分析的結果。樹種的分布預測則以出現與否的資料來進行指標克利金法計算。預測的樹種結果在地理資訊系統軟體圖層上可以看出明確的分區趨勢,群叢分布的結果則與使用的特徵種直接相關。預測結果的穩定性以摺刀法進行評估,各群叢的標準誤值皆低於0.01,以四種不同取樣數目的分析進行費氏檢定後也都沒有顯著差異,代表取樣穩定而預測結果可信。
Abstract
To overcome the limit of topography and manpower, vegetation prediction is an important method in vegetation mapping. There can be used in model prediction that concern about environment factor or in data interpolation that only consider about spatial distribution. In this research, indicator kriging was used to predict the spatial distribution of the vegetation of Laonong river basin. The distributions of associations were combined from the species in these associations which had been selected by Cluster analyst and TWINSPAN. Indicator kriging used presence/absence data to calculate the distribution pattern of these species, and the each species predicted raster had its own distinctly distribution. The distribution pattern of associations were related to species distribution directly. The stability of prediction pattern were evaluated by jackknife method. All standard errors of the prediction were under 0.01, with no significant difference in 4 different sampling measures.
目次 Table of Contents
摘要-------------------------------------------------------------------------------------------I
Abstract ---------------------------------------------------------------------------------------II
目錄-------------------------------------------------------------------------------------------III
圖次-------------------------------------------------------------------------------------------IV
表次----------------------------------------------------------------------------------------------V
壹、前言----------------------------------------------------------------------------------------1
貳、研究樣區與方法-------------------------------------------------------------------------4
一、研究樣區---------------------------------------------------------------------------4
二、取樣與測量-------------------------------------------------------------------------4
三、植物分類與特徵種選取----------------------------------------------------------4
四、指標克利金法(Indicator Kriging)-----------------------------------------------5
五、物種與植群之空間分布預測----------------------------------------------------5
六、使用軟體---------------------------------------------------------------------------5
參、結果----------------------------------------------------------------------------------------7
一、植群分類---------------------------------------------------------------------------7
二、群叢預測圖層----------------------------------------------------------------------7
三、植群預測評估----------------------------------------------------------------------9
肆、討論-------------------------------------------------------------------------------------- 10
一、製圖數據依據-------------------------------------------------------------------- 10
二、Indicator Kriging 內插法與取樣---------------------------------------------- 10
三、植群預測評估-------------------------------------------------------------------- 10
伍、結語與延伸研究方向----------------------------------------------------------------- 12
陸、引用文獻-------------------------------------------------------------------------------- 13
參考文獻 References
江介倫 (2005) 衛星遙測影像之環境資訊萃取 國立臺灣大學生物環境系統工程學系博士論文
吳守從 (2003) 南仁山生態保護區森林植群動態變化及其經營管理策略之探討 國立臺灣大學森林學系博士論文
林文龍 (2004) 台灣油杉的族群研究 國立臺灣大學森林學系博士論文
林青蓉、邱祈榮 (2003) 台灣天然檜木林林分結構生長動態模擬模式建立之研究 中華林學季刊 36(2): 159-173.
林逸盈、劉和義 (2005) 濁口溪流域之植群分類 第三屆台灣植群多樣性研討會論文集, 行政院農業委員會林務局 台北
林靜宜 (2004) 荖濃溪流域之土壤微生物項調查 國立中山大學生物科學系碩士論文
梁玉琦 (2004) 台灣生態區分區之研究 國立臺灣大學森林環境暨資源學研究所碩士論文
黃任伯 (2002) 以大氣候與植物型之關係模擬氣候變遷對台灣中部地區植物型之影響 國立臺灣大學森林學系碩士論文
黃慧欣 (1998) 數值地形模型應用在合歡山地區主要林型空間型態之分析 國立中興大學森林學系碩士論文
劉棠瑞、蘇鴻傑 (1983) 森林植物生態學 台灣商務印書館. 台北.
鄭祈全 (1999) 森林地景變遷之監測研究 臺灣林業科學 14(4): 493-507.
謝長富 (2005) 台灣維管束植物的物種多樣性 第三屆台灣植群研討會論文集, 行政院農業委員會林務局 台北
顏怡璇 (2002) 運用細胞自動化理論模擬森林地景變遷之研究--以南仁山生態保護區為例 東海大學景觀學系碩士論文
羅悅心 (1999) 氣候變遷對台灣中部山區植物群系影響之模擬研究 國立臺灣大學森林學系碩士論文
蘇鴻傑 (2004) 植群之多樣性及多樣化之分類法 臺大實驗林研究報告 18: 207-220.
Accad, A. and D. T. Neil (2006) Modelling pre-clearing vegetation distribution using GIS-integrated statistical, ecological and data models: A case study from the wet tropics of Northeastern Australia Ecological Modelling 198(1-2): 85-100.
Austin, M. P. (2002) Spatial prediction of species distribution: an interface between ecological theory and statistical modelling Ecological Modelling 157(2-3): 101-118.
Belda, F. and J. Melia (2000) Relationships between climatic parameters and forest vegetation: application to burned area in Alicante (Spain) Forest Ecology and Management 135(1-3): 195-204.
Curran, P. J. (2001) Remote sensing: Using the spatial domain Environmental and Ecological Statistics 8(4): 331-344.
Gertner, G., G. X. Wang and A. B. Anderson (2006) Determination of frequency for remeasuring ground and vegetation cover factor needed for soil erosion modeling Environmental Management 37(1): 84-97.
Henley, S. (2001) What's wrong with indicator kriging ? Earth Science Computer Applications 17(1): 1-2.
Kent, M. and P. Coker (1992) Vegetation description and analysis John Wiley & Sons Ltd. Chichester.
Maines, K. L. and D. J. Mladenoff (2000) Testing methods to produce landscape-scale presettlement vegetation maps from the U.S. public land survey records Landscape Ecology 15: 741-754.
McCune, B. and J. B. Grace (2002) Analysis of Ecological Communities MjM software Design. Oregon.
Muller-Dombois, D., and Ellenberg, H. (1974) Aim and method of vegetation ecology John Wiley & Sons. New York.
Rivero, R. G., S. Grunwald, T. Z. Osborne, K. R. Reddy and S. Newman (2007) Characterization of the spatial distribution of soil properties in water conservation area 2A, Everglades, Florida Soil Science 172(2): 149-166.
Rodgers, S. E. and M. A. Oliver (2007) A geostatistical analysis of soil, vegetation, and image data characterizing land surface variation Geographical Analysis 39(2): 195-216.
Sales, M. H., J. C. M. Souza, P. C. Kyriakidisb, D. A. Robertsb and E. Vidal (2007) Improving spatial distribution estimation of forest biomass with geostatistics: A case study for Rondˆ onia, Brazil Ecological Modelling 205: 221-230.
Smith, S. L., D. A. Holland and P. A. Longley (2005) Quantifying interpolation errors in urban airborne laser scanning models Geographical Analysis 37(2): 200-224.
Tranchant, B. J. S. and A. P. Vincent (2000) Statistical interpolation of ozone measurements from satellite data (TOMS, SBUV and SAGE II) using the kriging method Annales Geophysicae-Atmospheres Hydrospheres and Space Sciences 18(6): 666-678.
van Horssen, P. W., P. P. Schot and A. Barendregt (1999) A GIS-based plant prediction model for wetland ecosystems Landscape Ecology 14(3): 253-265.
Wackernagel, H. (2003) Multivariate Geostatistics Springer. New York.
Wang, Y. C. (2007) Spatial patterns and vegetation-site relationships of the presettlement forests in western New York, USA Journal of Biogeography 34(3): 500-513.
Wang, Y. C. and C. P. S. Larsen (2006) Do coarse resolution US presettlement land survey records adequately represent the spatial pattern of individual tree species? Landscape Ecology 21(7): 1003-1017.
Webster, R. and M. Oliver (2001) Geostatistics for environmental scientists John Wiley & Sons. Chichester. pp.149-191, 225-226.
Whittaker, R. H. (1962) Classification of natural communities The Botanical Review 28: 1-239.
Zupo, V., L. Mazzella, M. C. Buia, M. C. Gambi, M. Lorenti, M. B. Scipione and G. Cancemi (2006) A small-scale analysis of the spatial structure of a Posidonia oceanica meadow off the Island of Ischia (Gulf of Naples, Italy): Relationship with the seafloor morphology Aquatic Botany 84(2): 101-109.
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