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遥感技术与应用  2005, Vol. 20 Issue (6): 558-562    DOI: 10.11873/j.issn.1004-0323.2005.6.558
技术研究与图像处理     
利用遥感技术建立干旱半干旱地区草地生态健康模型
陈正华 1,2 , 王建 2
1.兰州大学资源环境学院,甘肃 兰州 730000 2中国科学院寒区旱区环境与工程研究所,甘肃 兰州 730000
Establishing A Ecosystem Health Model in Arid and Semi-arid Area by Using Remote Sensing Data
CHEN Zhenghua 1,2 , WANG Jian 2
1.Resource and Environment Institute, Lanzhou University, Lanzhou 730000, China ; 2.Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Science, Lanzhou 730000, China
 全文: PDF 
摘要:

由于全球气候变化以及人类活动对区域环境的破坏,生态系统环境正在发生变化,进而影响可持续发展。因此对生态系统健康与否的诊断变得非常必要。在中国西北地区,随着沙漠化、水土流失、沙尘暴频发,生态系统和生态环境非常脆弱。研究以甘肃省山丹县作为干旱半干旱典型研究区,选择压力、活力、反弹力作为生态系统健康模型的3个诊断指标,建立干旱半干旱区地区生态系统健康模型。其中压力利用实际载畜量的计算得到活力由1.1 km分辨率年内最大化NDVI获得 反弹力利用每个栅格的多年NDVI变化能力获得。结果表明:山丹县草地近年来生态健康的状况总体显著下降,1990年所有栅格的平均健康值为0.0572,而到了1999年下降为0.032 2,下降幅度达到43.7% 在山丹县内,生态健康的值相对较高的是山丹军马场草场,这里的植被是覆盖度高,且大面积连成一片 少量的最高值出现在最南部的高中覆盖度草地,它的周围是灌木丛 山丹县其它地方草地是生态健康值很小的,分布在整个县的北部绝大部分。

关键词: 生态系统健康 模型 诊断指标 NDVI    
Abstract:

Because of the global climatic variations and the anthropogenic destructive influence on local environment, the ecosystem is altering, even affect sustainable development. It is very important to diagnose whether the ecosystem is healthy. In Northwest of China, the ecosystem and ecological environment are brittle as the desertification,soil erosion seriously, and sandstorm break out in high frequency. In this paper, Shandan County in Gansu Province was selected as a typical study region in arid and semi |arid areas. The pressure, vigor and resilience were selected as three indicators for modeling ecosystem health diagnoses. The pressure was derived from actual livestock; the vigor is represented by annual max NDVI in each grid and the resilience is range between NDVI max and min. The results show that the ecosystem health in Shandan County degraded remarkably, mean health index of all grids was 0057 2 in 1990, while 0.032 2 in 1999, declining 43.7%; During each year in Shandan County, relative high values of ecosystem helth exist at military horse farm, where the high overlay grassland is dominating; A few highest values exist at southernmost medium and high overlay grassland, surrounded by shrubs; The value of grass in other place is low, occur at most part of northern Shandan Connty.

Key words: Ecosystem health    Model    Diagnostic indicator    NDVI
收稿日期: 2005-05-22 出版日期: 2011-11-17
:  TP 79  
基金资助:

国家高技术研究发展计划(863计划)课题(2002AA133062),中国科学院西部之光项目(2002407)。

作者简介: 陈正华(1980-),女,硕士研究生,主要从事遥感和地理信息系统应用研究。
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引用本文:

陈正华, 王建 . 利用遥感技术建立干旱半干旱地区草地生态健康模型[J]. 遥感技术与应用, 2005, 20(6): 558-562.

CHEN Zheng-Hua, WANG Jian. Establishing A Ecosystem Health Model in Arid and Semi-arid Area by Using Remote Sensing Data. Remote Sensing Technology and Application, 2005, 20(6): 558-562.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2005.6.558        http://www.rsta.ac.cn/CN/Y2005/V20/I6/558

〔1〕Costanza R. The Value of the World's Ecosystem Services and Natural Capital〔J〕. Nature, 1997,387:253~260. 〔2〕Vitousel P M. Human Domination of Earth's Ecosystems〔J〕. Science,1997,277:494~499. 〔3〕Xu F L. Jōrgensen S E, Shu T. Ecological Indicators for Assessing Freshwater Ecosystem Health〔J.Ecological Model,1999, 116:77~10. 〔4〕Karr J R, Fausch K D, Angermeier P L, et al. Assessing Biological Integrity in Running Waters: A Method and Its Rationale〔R〕. Champaign: Illinois Natural History Survey, Special Publication 5,1986. 〔5〕 Rapport D J. What Constitutes Ecosystem Health Perspect〔J〕. Bio Med,1989,33:120~132. 〔6〕Norton B G. Ecosystem Health and Sustainable Resource Management〔A〕. Costanza R. Ecological Economics: The Science and Management of Sustainability〔C〕. Columbia University Press, New York,1991. 〔7〕 Costanza R. Toward an Operational Definition of Ecosystem Health〔A〕. Costanza R, Norton B G, Haskell B D. Ecosystem Health: New Goals for Environmental Management〔C〕. Island Press, Washington DC,Covelo, 1992.239~256. 〔8〕 Ulanowicz R E. Ecosystem Health and Trophic Flow Networks〔A〕. Costanza R, Norton G, Haskell B D. Ecosystem Health: New Goals for Environmental Management〔C〕. Island Press, Washington DC,Covelo, 1992.190~206. 〔9〕 Hannon B. Ecosystem Flow Analysis: Can.Bull.Fish.Aquat〔J〕. Science, 1985,213:97~118. 〔10〕 Jorgensen S E. The Application of Ecological Indicators to Assess the Ecological Condition of a Lake〔J〕. Lakes Reservoirs:Res.Manage,1995,1:177~182. 〔11〕 Rapport rt D J, Costanza R, McMichael A J. Assessing Ecosystem Health〔J〕. Trends in Ecology & Evolution, 1998, 13(10):397~402. 〔12〕 Kay J J, Schneider E D. Thermodynamics and Measurements of Ecosystem Integrity〔A〕. McKenzie D.Ecological Indicators〔C〕. Elsevier, Amsterdam, 1991.159~182. 〔13〕 Xu F L. Ecosystem Health Assessment of Lake Chao, a Sha-l low Eutrophic Chinese Lake〔J〕. Lakes Reservoirs: Res. Manage, 1996,2:101~109. 〔14〕 Xu F L. Exergy and Structural Exergy as Ecological Indicators for the Development State of the Lake Chao Ecosystem〔J〕. Ecol. Model, 1997, 99: 41~49. 〔15〕 Fan Lu, Zizhen Li. A Model of Ecosystem Health and Its Application〔J. Ecological Modeling,2003,170:55~59. 〔16〕 甘肃省草原总站.甘肃草地资源〔M〕.甘肃:甘肃科学技术出版社,1998. 〔17〕 Wang Jian, Jiao Yuanme, Wang Lihong, et al. Source Dynamic Monitoring of Grassland Degradation with Remote Sensing and the Strategy of Ecological Restoration in Shandan County of Heihe Basin〔J〕. The International Society for Optical Engineering, 2003,4890: 657~664. 〔18〕Huete A R, Justice C, Liu H. Development of Vegetation and Soil Indices for MODIS-EOS〔J.Remote Sensing of Environment, 1994,49:224~234. 〔19〕Tucker C J. Red and Photographic Infrared Linear Combinations for Monitoring Vegetation〔J〕. Remote Sensing of Envi ronment, 1979,8:127~150.

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