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REMOTE SENSING FOR LAND & RESOURCES    2011, Vol. 23 Issue (4) : 115-120     DOI: 10.6046/gtzyyg.2011.04.21
Technology Application |
Dynamic Evaluating Regional Land-cover Changes and Associated Ecosystem's Service Value Based on RS and GIS
HAO Hui-mei1, HAO Yong-li2, TIAN Dang-sheng3
1. The Geomatics Center of Bureau of Land and Resources of Xi'an, Xi'an 710021, China;
2. Center of Real Estate Transaction, Guyang County, Inner Mongolia, Baotou 014200, China;
3. The Bureau of Land and Resources of Xi'an, Xi'an 710021, China
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Abstract  

The exploration and calculation of the eco-environment response to LUCC in Guanzhong area constitute the basis for the study and application of ecological compensation and for the realization of regional sustainable development. In this paper,the method for decision tree-based multi-layer information extraction and supervised classification was employed to extract the information of land cover in Guanzhong area in 1990,2000 and 2007. Then the different kinds of general service values of ecosystems in Guanzhong area in 1990,2000 and 2007 were evaluated respectively using the method of ecological economics. Some conclusions have been drawn: 1 In 1990,2000 and 2007, the total service values of Guanzhong area's ecosystems were 55.739 billion yuan,50.729 billion yuan and 53.377 billion yuan respectively,which further demonstrated that the regional service values of ecosystems decreased abruptly due to local serious degradation and deterioration of forest and grass from 1990 to 1998,and were increasing significantly after 1998 due to implementation of returning cultivated farmland to grassland and forest land. 2 The index of ecosystem's capacity to support economy in Guanzhong area rose from 0.436 9 in 1990 to 6.430 2 in 2007,which indicated that pressure on ecosystem is increasing continuously with the development of economy,and the task of ecosystem restoration and construction remains a key link in keeping the sustainable development of regional economy.

Keywords Image segmentation      Object      Agricultural area      Cropland parcel      Remote sensing     
:  TP 79  
Issue Date: 16 December 2011
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LI Ling-ling
ZHU Wen-quan
PAN Yao-zhong
CAO Sen
ZHU Zai-chun
Cite this article:   
LI Ling-ling,ZHU Wen-quan,PAN Yao-zhong, et al. Dynamic Evaluating Regional Land-cover Changes and Associated Ecosystem's Service Value Based on RS and GIS[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(4): 115-120.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2011.04.21     OR     https://www.gtzyyg.com/EN/Y2011/V23/I4/115



[1] 王兆礼,曾乐寿.中国区域土地利用变化对生态环境的影响研究进展[J].中山大学研究生学刊,2005,26(3):24-33.



[2] 康玲芬,李锋瑞,化伟,等.不同土地利用方式对城市土壤质量的影响[J].生态科学,2006,25(1):59-63.



[3] 张心昱,陈利顶,李琪,等.不同农业土地利用类型对北方传统农耕区土壤养分含量及垂直分布的影响[J].农业环境科学学报,2006,25(2):377-381.



[4] 李锐,杨勤科,温仲明,等.区域土地利用变化环境效应研究综述[J].水土保持通报,2002,22(4):65-70.



[5] 郭旭东,傅伯杰,陈利顶,等.低山丘陵区土地利用方式对土壤质量的影响--以河北省遵化市为例[J].地理学报,2001,56(4):447-455.



[6] 吴次芳,陈美球.土地生态系统的复杂性研究[J].应用生态学报,2002,13(6):753-756.



[7] Daily G C.Nature's Services:Societal Dependence on Natural Ecosystems[M].Washington D C:Island Press,1997:1-10.



[8] Costanza R,Faber S C,Maxwell J.Valuation and Management of Wetland Ecosystems[J].Ecological Economics,1989,1(4):335-361.



[9] Ehrlich P R,Mooney H A.Extinction,Substitution,and Ecosystem Services[J].Bioscience,1983,33(4):248-254.



[10] Van Wilgen B W,Cowling R M,Burgers C J.Valuation of Ecosystem Services:A case Study from South African Flyboys Ecosystems[J].Bioscience,1996,46(3):184-189.



[11] Cairns J Jr.Protecting the Delivery of Ecosystem Services[J]. Ecosystem,Health,1997,3(3):185-194.



[12] 葛全胜,赵名茶,郑景云.20世纪中国土地利用变化研究[J].地理学报,2000,55(6):698-706.



[13] 何英彬,陈佑启.土地利用/覆盖变化研究综述[J].中国农业资源与区划,2004,25(2):58-62.



[14] 冯永玖,韩震.基于遥感的黄浦江沿岸土地利用时空演化特征分析[J].国土资源遥感,2010(4):22-30.



[15] 吴见,彭道黎.多伦县土地利用动态遥感监测[J].国土资源遥感,2010(3):2-8.



[16] 杜军,杨青华.基于土地利用变化和空间统计学的区域生态风险分析--以武汉市为例[J].国土资源遥感,2010(2):24-32.



[17] Costanza R,d'Arge R,de Groot R,et al.The Value of the World's Ecosystem Services and Natural Capital[J].Nature,1997,387(6630):253-260.



[18] 欧阳志云,王效科,苗鸿.中国陆地生态系统服务功能及其生态经济价值的初步研究[J].生态学报,1999,19(5):607-613.



[19] 欧阳志云,王如松,赵景柱.生态系统服务功能及其生态经济价值评价[J].应用生态学报,1999,10(5):635-640.



[20] 赵同谦,欧阳志云,郑华,等.中国森林生态系统服务功能及其价值评价[J].自然资源学报,2004,19(4):480-491.



[21] 谢高地,鲁春霞,成升魁.全球生态系统服务价值评估研究进展[J].资源科学,2001,23(6):5-10.



[22] 谢高地,鲁春霞,冷允法,等.青藏高原生态资产的价值评估[J].自然资源学报,2003,18(2):189-196.



[23] 张志强,徐中民,程国栋.生态系统服务与自然资本价值评估[J].生态学报,2001,21(11):1919-1926.



[24] 肖寒,欧阳志云,赵景柱,等.海南岛生态系统土壤保持空间分布特征及生态经济价值评估[J].生态学报,2000,20(4):552-558.



[25] 陈仲新,张新时.中国生态系统效益的价值[J].科学通报,2000,45(1):17-22.



[26] 朱文泉,潘耀忠,何浩,等.中国典型植被最大光利用率模拟[J].科学通报,2006,51(6):700-706.



[27] 冯险峰,刘高焕,陈述彭,等.陆地生态系统净第一性生产力过程模型研究综述[J].自然资源学报,2004,19(3):369-378.



[28] 朱志辉.自然植被净第一性生产力估计模型[J].科学通报,1993,38(15):1422-1426.



[29] 阳小琼,朱文泉,潘耀忠,等.基于修正的亚像元模型的植被覆盖度估算[J].应用生态学报,2008,19(8):1860-1864.



[30] 朱文泉,潘耀忠,张锦水.中国陆地植被净初级生产力遥感估算[J].植物生态学报,2007,31(3):413-424.



[31] 潘耀忠,史培军,朱文泉,等.中国陆地生态系统生态资产遥感定量测量[J].中国科学D辑:地球科学,2004,34(4):375-384.



[32] 王李娟,牛铮,旷达.基于MODIS数据的2002-2006年中国陆地NPP分析[J].国土资源遥感,2010(4):24-28.



[33] 李金昌.生态价值论[M].重庆:重庆大学出版社,1999.



[34] 景可,王万忠,郑粉莉.中国土壤侵蚀与环境[M].北京:科学出版社,2005.



[35] 王万忠,焦菊英.中国的土壤侵蚀因子定量评价研究[J].水土保持通报,1996(5):1-5.



[36] 何浩,潘耀忠,朱文泉,等.中国陆地生态系统服务价值测量[J].应用生态学报,2005,16(6):1122-1127.



[37] 王彦辉,于澎涛,徐德应,等.林冠截留降雨模型转化和参数规律的初步研究[J].北京林业大学学报,1998,20(6):25-30.

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