跳到主要內容

簡易檢索 / 詳目顯示

研究生: 陳貴賢
Gregorio Canto
論文名稱: 一項研究在伯利茲的紅樹林毀林從可樂華橋席本河
A Study of Mangrove Deforestation in Belize from Haulover Bridge to the Sibun RiverUsing GIS and Remote Sensing Analysis
指導教授: 陳繼藩
Chi-Farn Chen Ph.D.
口試委員:
學位類別: 碩士
Master
系所名稱: 工學院 - 國際永續發展碩士在職專班
International Environment Sustainable Development Program
畢業學年度: 99
語文別: 英文
論文頁數: 78
中文關鍵詞: 可樂華橋席本河
外文關鍵詞: Mangrove Deforestation, Sibun River
相關次數: 點閱:6下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 保護紅樹林是全球性的保育運動。貝里斯的紅樹林主要分佈於沿海地帶,且擁有高密集度分佈。貝里斯市紅樹林主要種類有三種:低矮紅樹科樹種(Rhizophora Mangle)、偏黑的海茄苳屬樹種(Avicennia Germinans)、及高大且白的假紅樹屬樹種(Laguncularia Racemosa) 。不過沿著濕地邊界或是深入內陸地區的溪流或沼澤可發現些許的紐仔樹數種(Conocarpus erectus) 。紅樹林因具有胎生的性質,且能適應海水的環境,故提供了許多水禽生物及海棲生物的生存場所。
    本研究主要運用衛星影像及地理資訊系統探討位於貝里斯河(Belize River)及席本河(Sibun River)流域的紅樹林分佈情形。主要研究地區範圍約為9,495公頃,北至貝里斯河上的可樂華橋(Haulover Bridge),南至席本河流域。這地區的紅樹林面臨極大的破壞壓力,在人類的快速都會開發、土地濫墾、旅遊發展以及全球暖化的影響下,這些地區除了直接面臨開發命運外,河川及海岸的污染也直接衝擊紅樹林生態。年雨量是主要威脅紅樹林生態的重要因素,年雨量的多寡影響土壤及流域中含鹽量的濃度,進而影響紅樹林分佈及物種組成。本研究使用Landsat衛星資料日期為1989/12/27、 2000/01/24以及2010/01/11。運用這20年間的衛星影像來分析紅樹林的分佈及減少情況。研究方法運用非監督式分類法將衛星影像進行分類。Landsat衛星影像進行非監督式分類結果,1989年總精準度為80%,2000得到77%,2010得到74% 。研究方法另運用變遷偵測來進行時間分析,以瞭解紅樹林分佈的改變。變遷偵測分析結果顯示,1989年至2000年間紅樹林面積平均減少11%,而2000年至2010年間紅樹林面積則減少幅度提高至15%。
    整體而言,在1989年至2010年主要研究地區內紅樹林面積減少幅度高達26%。這顯示在貝里斯,紅樹林面積正急速減少。本研究建議應有適當政策及組織來保護貝里斯市周圍的紅樹林面積及數量,以減少紅樹林砍伐及開發情形,藉由本研究希望可提高重視紅樹林自然環境的保護意識,為貝里斯留下寶貴的自然資產 。


    Mangrove forests lie along the coast of Belize and one of the largest concentrations of mangroves is located around Belize City. Mangrove forests in this area consists of three types which are mainly short red mangrove (Rhizophora Mangle), medium black mangroves (Avicennia Germinans) and tall white mangroves (Laguncularia Racemosa) although the existence of buttonwood (Conocarpus erectus) can be found along the boundaries of wetlands, streams or swamps deeper inland. Mangrove forests on the coast of Belize provide estuaries for fishes and sanctuaries for birds. Mangrove forests of the study area are located within the Belize and Sibun river water sheds. The mangrove ecosystem in this area faces the threat of deforestation from rapid urban development, land reclamation, increase in tourism and natural disasters (global warming). Other major threats include changes in rainfall patterns which could affect distribution and species composition because rainfall regulates salt concentrations in soil and plants, as well as providing a source of fresh water for the mangroves (Neal et al., 2008).
    The area being studied lies between Haulover Bridge on the northern boundary and Sibun River on the southern boundary which covers an area of approximately 9495.52 hectares. The objective of this study is to use GIS and remote sensing analysis of December 27th, 1989, January 24th, 2000 and January 11th, 2010 Landsat images to verify that mangrove deforestation has been occurring over a period of 20 years. The method of unsupervised classification was applied to this study. Temporal analysis by using change detection was carried out to monitor change detection. Overall classification accuracy of 80% was obtained for 1989 Landsat image, 77% overall classification accuracy was obtained for 2000 Landsat image and 74% overall classification accuracy was obtained for 2010 Landsat image.
    Results obtained for temporal analysis by using change detection showed that mangrove forests declined by an average of 442 hectares (26%) over a 20 year period. During 1989 to 2000 mangrove forests declined by 207 hectares (11%) and during 2000 to 2010 mangroves declined by an average of 235 hectares (15%). Over a period of 20 years short mangroves increased by 86 hectares (5%), medium mangroves decreased by 857 hectares (49%) and tall mangroves decreased by 557 hectares (34%). This study shows that mangrove forest is rapidly declining and needs to be addressed urgently to deter further destruction on this valuable habitat.

    TABLE OF CONTENTS Chinese Abstract ……………………………………………………………………………….… i Abstract ………………………………………………………………………………….………. ii Acknowledgements …………………………………………………………………………….. iii Table of Contents ……………………………………………………………………………….. iv List of Figures ………………………………………………………………………………….. vii List of Tables ……………………………………………………………..…………………...…ix Acronyms …………………………………………………………………………….…………...x Chapter 1. Introduction ……………………………………………………….…………………..1 Chapter 2. Background Information ………………………………………….…………………..4 2.1 General Information of Belize …………………………………….………………….4 2.2 Types of Mangrove found in Belize………………………………..…………………6 2.2.1 Rhizophora mangle (short mangrove)………………………………………6 2.2.2 Avicennia germinans (medium mangrove)…………………………….……6 2.2.3 Laguncularia racemosa (tall mangrove)………………………………….….7 2.3 Threats facing mangrove forests in Belize…..………………………..……………...10 2.3.1 Urban Development…………………………...…………………………...10 2.3.2 Land Clearance.……………………………………………………………11 2.3.3 Climate Change…………………………………………………………….11 2.4 Temperature and Annual Rainfall…….………………………………..…………….12 2.5 Demography………………………………………………………………………….14 Chapter 3. Literature Review…………………………………………………………………….15 3.1 Remote sensing of Mangroves…….…………………………………………………15 3.2 Mangrove Estimate…………………………………………………………………..16 Chapter 4. Study Area ………………………………………...…………………………………19 4.1 Location of Study Area ………………………………...……………………………19 4.1.1 Belize City ………………………………………...………………………21 Chapter 5. Methodology ……………………………………………………...…………………23 5.1 Data Collection ………………………………………………………...……………24 5.1.1 Landsat-5 …………………………………………………………………..26 5.1.2 Landsat-7 …………………………………………………..........................27 5.2 Image Pre-processing ………………………………………………………………..27 5.3 Filling gaps of Landsat-7 ETM+ image ………………………...…………….……..28 5.4 Image Preparation……………………………………………………………………30 5.4.1 Masking by Subsetting……………… ……………………………….........30 5.4.2 Removing Cloud and Cloud Shadow by Masking……..………………..…30 5.4.3 Images used for study area……….........……………….…………..……....34 5.5 Unsupervised Classification ………………………………………………………...35 5.6 ISODATA Algorithm ………………………..…………...………………………....36 5.7 Ground Truth Data…………………. ………………………………..……….…..…36 5.8 Accuracy Asessment……………………………………………………………........37 5.9 Change Detection……………………………………………………………….…...40 Chapter 6. Result and Discussion ……………...…………………………………………….….41 6.1 Shapefile’s used for Accuracy Assessment……………………...……...…………...41 6.2 Result of Unsupervised Classification and Classification Accuracy Assessment......42 6.2.1 December 27th, 1989 Classified Image…………………………………….43 6.2.2 January 24th, 2000 Classified Image……………………………………….46 6.2.3 January 11th, 2010 Classified Image……………………………………….49 6.3 Comparison of all Three Classified Images ……………...………………………….52 6.4 Results of Change Detection…………………………………………………………54 6.4.1 Change of class between 1989 – 2000 ………………………….…………57 6.4.2 Change of class between 2000 – 2010……………………………..………58 6.4.3 Change of class between 1989 – 2010 ……………………………….……59 Chapter 7. Conclusion and Recommendation …………………………………………………...61 7.1 Conclusion …………………………………………………………………………..61 7.2 Recommendation ……………………………………………………………………62 References …………………………………………………………………….………………....63

    REFERENCES
    Belize Meteorological Service, The Climate of Belize, Cited: May 12, 2011, URL: http:// www. hydromet.gov.bz/Climate_Summary.htm
    Belize City Council Master Plan documents Cited: May 3, 2011, URL: http://www.belizecity
    council.org/Master_Plan_Documents
    Biodiversity & Environmental Resource Data System of Belize (BERDS), Master map of Belize, Cited: May 22, 2011. URL: http://www.biodiversity.bz/downloads/watershed.png
    Central Bank of Belize, 2010. Twenty-eighth Annual Report & Statement of accounts for the year ending 31 December 2009. Research Department. Cited: Feb 11, 2011. URL : http://www.
    centralbank.org.bz/dms.asp
    Cherrington, A.E., Hernandez, E.B., Trejos, A.N., Smith, A.O., Anderson, R.E., Flores, I.A., Garcia, B.C., 2010, Technical Report: Identification of threatened and resilient Mangroves in the Belize Barrier Reef System, Water Center for the Humid Tropics of Latin America and Caribbean (CATHALAC)
    Dekker, A., Brando, V.E., Anstee, J.M., Fyfe, S., Malthus, T., Karpouzli, E., 2006. Remote sensing of seagrass ecosystems: Use of spaceborne and airborne sensors. In: Larkum, A., Orth, R., and Duarte, C. (eds), Seagrasses: Biology, Ecology and Conservation,Springer: 347-359.
    DeWitt, H., Weiwen Feng, J.R., 2002. Semi-Automated construction of the Louisiana coastline digital land-water Boundary using landsat TM imagery, Louisiana’s Oil Spill Research and Development Program, Louisiana State University, Baton Rouge, LA 70803.
    DiFiore, S. L., 2002. Remote Sensing and Exploratory Data Analysis as Tools to Rapidly Evaluate Forest Cover Change and Set Conservation Priorities along the Belize River, Belize. MA thesis, Columbia University, New York, NY.
    Doyle, W.T., 1998. Vulnerability of coastal wetlands in the southeastern United States Climate change research results, 1992-97, U.S. Geological Survey, Biological Resources Division Biological Science Report USGS/BRD/BSR--1998-0002.Biological Science Report USGS/BRD/
    BSR-1998-0002. 105-106.
    ESRI, 1989. ESRI Shapefile Technical Description An ESRI White Paper - Copyright © 1997, 1998 Environmental Systems Research Institute, Inc. All rights reserved United States of America.
    Feller, I.C., 1996. Mangrove Ecology Workshop Manual: A Field Manual for the Mangrove Education and Training Programme for Belize. Marine Research Center, University College of Belize. Calabash Caye, Turneffe Islands. Smithsonian Institution, Washington DC.
    Food and Agriculture Organization of the United Nations (FAO), 2005, Global Forest Resources Assessment 2005: Thematic study on mangroves, Belize country profile, Forest Resources Development Service, forestry paper #153, Rome, page 1.
    Fujiwara, A., Zhang J., 2005. Evaluating sustainability of urban development in Developing countries incorporating dynamic cause – effect relationships over time. Journal of the Eastern Asia Society for Transportation Studies, 6, 4349-4362.
    Galvão, L.S., Vitorello, I., Pizarro M.A., 2000. An adequate band positioning to enhance NDVI Hudson Bay Lowlands. International Journal of Remote sensing 23(21): 4761 - 4776.
    Garcia J., 2011. Inter-American Development Bank and PADECO co., Ltd. Consultation report: Belize City Master Plan. Issue paper-3: Environment.
    Green, E., Clark, C., Mumby, P., Edwards, A., Ellis A., 1998. Remote sensing techniques for mapping mangroves. International Journal of Remote Sensing 19:935–956.
    Hogarth, P., 2007. The biology of mangroves and sea grasses, 2nd Edition. Oxford University Press, Oxford, UK.
    Howari, M.F., Jordan, R.B, Bouhouche, N., and Wyllie, E.S., 2009. Field and Remote Sensing Assessment of Mangrove Forests and Seagrass Beds in the Northwestern Part of the United Arab Emirates, Journal of Coastal Research, West Palm Beach (Florida), ISSN 0749-0208, 25(1), 48-56.
    Kairo, J.G., Kivyatu, B., Koedam, N., 2002. Application of remote sensing and GIS in the management of mangrove forests within and adjacent to Kiunga Marine Protected Areas, Lamu, Kenya. Environment, Development and Sustainability (4): 153-166, 2002
    Kragujevac, J.M., 2009, “Image Pre-Processing tool”, College of Computer Science, Megatrend University of Belgrade, 97-107
    Lillesand, M.T., Kiefer, R.W., Chipman, W.J., 2008. Remote Sensing and Image Interpretation: Sixth Edition, John Wiley & Sons, Inc, 570-577.
    Lillesand, M.T., Kiefer, R.W., 1994. Remote Sensing and Image Interpretation, 3rd Edition. John Wiley & Sons, Inc., U.S.A., 616-617.
    Macintosh, D.J., Ashton, E.C., 2002. A Review of Mangrove Biodiversity Conservation and Management, Centre for Tropical Ecosystem Research, University of Aarhus, Denmark cited: May 1st, 2011 URL: mit.biology.au.dk/cenTER/MCB_Files/2002_Review_WB_MCB_Final.pdf
    Manson, F.J., Lonergan, N.R., McLeod, J.M., Kenyon, R.A., 2001. Assessing techniques for estimating the extent of mangroves: topographic maps, aerial photographs and Landsat TM images. Marine and Freshwater Research 52:787–792.
    Map of Belize, cited: May 11th, 2011 URL: http://www.worldmapnow.com/images/2011/01/Beli
    ze-Map-2.gif
    Martinuzzi, S., Gould, A.W., González, R.M.O., 2007. Creating Cloud-Free Landsat ETM+ Data Sets in Tropical Landscapes: Cloud and Cloud-Shadow Removal, United States Department of Agriculture, General Technical Report llTF-GTR-32.
    Moore, L.J., 2000. Shoreline mapping techniques. J. Coast. Res., 16 (1), 111-124.
    Murray, M.R., Zisman, S.A., Furley, P.A., Munro, D.M., Gibson, J., Ratter, J., Bridgewater, S., Minty, C.D., Place, C.J., 2003. The mangroves of Belize Part 1: distribution, composition and classification, Forest Ecology and Management, 265–279
    Neal, D., Ariola E., Muschamp, W., 2008. UNDP/GEF Climate Change Project, Vulnerability Assessment of the Belize Coastal Zone: Enabling Activities for the preparation of Belize’s Second National communications (SNC) to the United Nations Framework Convention on Climate Change (UNFCCC) project. 27–29.
    Nguyen, H.Q., Tran, M.Y., Le Thi, T.H., 2004. Using Remote Sensing Techniques for Coastal Zone management in Halong Bay (Vietnam), Department of Remote Sensing technology and GIS – institute of Geography, Vietnamese Academy of Science and Technology, A27/18 Hoang Quc Viet Str. Cau Giay, Hanoi, Vietnam.
    Phan, M.T., 2006. Application of Remote Sensing and GIS Tools for Recognizing Changes of Mangrove Forests in Ca Mau Province, Dept. Marine Environment & Ecology; Institute of Oceanography, Vietnam.
    Pouncey, R., Swanson, K., Hart, K., 1999. ERDAS field Guide Fifth Edition, Revised and Expanded, ERDAS Field Guide™ Copyright, ERDAS® Inc. All rights reserved.
    Rabinowitz, D., 1978. Dispersal properties of mangrove propagules. Biotropica 10: 47-57.
    Ramachandran, S., 1993. Coastal Zone Information System - Pilot project for Rameswaram area. Report submitted to Department of Ocean Development, Government of India, 40.
    Richards, J.A., 1993. Remote sensing digital image analysis: an introduction (second edition), Springer-Berlag, NY.
    Sabido, O., 2007, Green House Gases inventory for the Land Use and Land Use Change, Belize Country Report Second National Communication to the UNFCCC, Ministry of Natural Resources and The Environment.
    Souleyrette, R.R., Hallmark, L.S., O’Brien, M.M., Pattnaik, B.S., Hans, N.Z., 2003. Remote Sensing Change Analysis Methodology to Support Traffic Monitoring Programs: Final report, Center for Transportation Research and Education, Iowa State University, 1-2
    Statistical Institute of Belize, 2011. Table 1: Census 2010 Provisional Population and Households, by Sex and major Geographic Divisions, Cited May 21th, 2011, URL: http://www.statisticsbelize.org.bz/dms20uc/dynamicdata/docs/20110511165337_2.pdf .
    Sulong, I., Mohd, L., Mohd, T., M.K., Ismail, A., 2002. Mangrove mapping using Landsat imagery and aerial photographs: Kemaman district,Terengganu, Malaysia. Environment, Development and Sustainability 4:135–152.
    Tou, J.T, and Gonzalez, R.C., 1974. Pattern Recognition Principles, Addison-Wesley, Reading, MA.
    UNEP, United Nations Environmental Program Division for Climate Change, 2010, Climate Change Factsheet. Cited: May 7, 2011, URL: http://www.unep.org/ClimateChange/LinkClick.as
    px?fileticket=HTPNmZQ_J8U%3d&tabid=233&language=en-US
    Vanzie, E., 2008. Assessment of the Impact of Climate Change on Belize’s Health Sector: Dengue and Dengue Hemorrhagic Fever, Belize Second National Communication (SNC) Project. 9-11.
    Wang, Y., Buermann, W., Stenberg, P., Smolander, H., Ha¨me, T., Tian, Y., Hu, J., Knyazikhin, Y., Myneni, R. B., 2003. Hyperspectral remote sensing of vegetation canopy: Leaf area index and foliage optical properties. Remote Sensing of Environment, 85, 304– 315.
    Yang, T.W., Chen, C.F., Chang, L.Y., 2009. A Two-stage Gap-Filling Method For Landsat 7 SLC-off Images, Center for Space and Remote Sensing Research, National Central University, Jhongli, Taiwan.
    Zisman, S.A., 1998. Sustainability or Status Quo: Elite Influence and the Political Ecology of
    Mangrove Exploitation in Belize. Doctoral dissertation, Department of Geography, University
    of Edinburgh. Edinburgh, Scotland.

    QR CODE
    :::