基于3S技术的丹江口库区及上游生态系统服务价值评价
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摘要
生态系统服务价值评价研究是当今生态系统可持续性研究的热点之一,吸引了大量不同学科研究者尤其是生态学和经济学者的广泛参与。用3S技术来量化生态系统服务是今后的一个研究方向。南水北调中线工程是一项跨流域的大型调水工程,丹江口库区及其上游生态环境状况,是南水北调中线工程发挥其社会、经济和生态效益的关键所在。本论文以丹江口库区及其上游生态系统为研究对象,根据生态系统服务评价理论和方法,采用多源遥感影像数据、辅助地学数据和外业GPS定位采样数据,利用RS、GIS技术及数理统计方法,对研究区生态系统服务价值进行有效分析和定位、定量及动态评价。研究结论如下:
     土壤保持服务价值评价。(1)研究区土壤保持总量林地最高,草地次之,水域等其它类型土壤保持量都非常少,这与植被覆盖度和植被净第一性生产力的分布是一致的,说明高植被覆盖类型分布区的植被能有效防止和控制土壤流失。(2)研究区生态系统土壤保持价值中,林地和灌木林地生态系统的土壤保持价值占到近60%,草地生态系统占到近30%,林、灌、草共占到服务总价值的近90%,林、灌、草在土壤保持生态系统服务中具有决定性的作用。
     温度调节服务价值评价。(1)LST月产品均值与各个月份平均气温变化规律基本一致,极端最大值和平均最高温都出现在7月份,极端最小值和平均最低温都出现在1月份。(2)一年之中,LST和NDVI有着相似的变化规律,其间存在明显的线性关系。植被覆盖度和海拔高度是影响LST的主要因素,随着植被覆盖度和海拔高度的增加而降低,它们与LST存在明显的负相关线性关系。(3)林地、草地和水域对LST起着明显的调节作用,城镇的热岛效应突出,并采用能量替代法估算出研究区域2008年林地、草地和水域调节温度的价值。
     土壤水分保持服务价值评价。(1)研究区内各个月份地表土壤湿度有很大差异,随着季节变化,地表土壤湿度变化很大;从空间分布来看,山地的土壤湿度明显高于平原和盆地,具有与地势相一致的空间差异;湖泊和河流所在的区域,由湖泊和河流向四周扩展土壤湿度逐渐降低,表现为湿润到干旱。总的来说,由于受到复杂的微地貌的影响,区域内土壤的干湿度变化情况比较复杂。(2)从2008年不同土地利用/覆被类型土壤水分保持价值来看,研究区域内土壤水分保持单位面积价值林地>灌木林地>草地>耕地>其它,土壤水分保持总价值来看,林地、灌木林地和草地占到80%以上,是丹江口库区及其上游水源涵养和水质水量保证的关键所在。
     基于净初级生产力的综合服务价值评价。(1)从年际变化来看,2000-2006年研究区NPP总量呈现出不规则的变化,因为其变化除了土地利用和覆被变化的影响以外,还受到气温降水等多种自然和人为因素的影响。(2)从空间分布来看,NPP随着海拔升高呈现先增后降的变化趋势。随着坡度的增加,NPP呈现增长趋势,这都与研究区域的地形地势引起的水热条件变化和耕作状况有关。(3)从基于净初级生产力的生态系统有机物质生产、维持大气中的CO_2和O_2动态平衡、营养物质循环、对环境污染的净化作用等的服务价值来看,林、灌、草的服务价值占到总量的75%以上,对维持整个生态系统平衡和稳定中起着决定性的作用。
     将3S技术与生态系统服务价值评价相结合,在获取定量、实时和实地信息,为更加准确评价生态系统提供的服务方面提供较好的技术支持工具,能够解决传统方法所不能解决的目前在生态系统服务领域内存在的缺乏动态性和空间异质性的问题。最终以货币的形式显示丹江口库区和上游生态系统为人们提供的服务价值,能够提高库区和受水区人民对生态系统服务的认识程度;可以作为生态补偿的参考依据,为自然资源和生态环境的保护找到合理的资金来源;还能够发现区域内生态系统敏感性空间分布特征,为进一步的生态功能区的划分和生态建设规划提供科学的依据,在时间尺度和空间尺度上实现资源的合理分配,保证区域内和区域间当代人和代际间的公平性,最终实现区域可持续发展。
The research on evaluation of ecosystem service value is one of the hotspots of current ecosystem sustainablility research,which attracts broad participation of a large number of researchers from different disciplines,especially the scholars of ecology and economy.It is a future study direction using 3S technology to quantify the ecosystem services.
     The Middle Route of South-to-North Water Transfer Project is a large-scale trans-basin water transfer project,and the ecological environment of Danjiangkou reservoir area and upper reaches is the key factor that the Middle Route of South-to-North Water Transfer Project brings its social, economic and ecological benefits.According to the appraisal theory and method of the ecosystem service,the paper takes the Danjiangkou reservoir area and the upstream ecosystem as the objects of the study,uses remote sensing,geographical information system and the mathematical statistic method by adopting the multi-source remote sensing images,geosciences data and the field-work GPS localization sampling data.This paper carries out effective analysis and localization,rational and dynamic evaluation on each term of services in the study area.The conclusions are as follow:
     Evaluation of soil conservation service value:(1) As far as the total amount of soil conservation in the study area is concerned,the forestland is the highest,followed by grassland.What's more,soil conservation amount in water and other types of soil are very low,which is consistent with the vegetation coverage and the distribution of net primary productivity and it indicates that the vegetation in the high vegetation coverage type distribution area can prevent and control the soil erosion effectively.(2) Among the soil conservation value of the ecosystem in the study area,the soil conservation value of forestland and shrub land ecosystems accounted for nearly 60 percent, grassland ecosystem accounted for nearly 30 percent,while forest-shrub-grass accounted for nearly 90 percent of the total value of services.So,forest,shrub,grass play a decisive role in the ecosystem services of soil conservation.
     Evaluation of temperature adjustment service:(1) The average temperature of LST monthly products is basically consistent with the mean air temperature changing tendency of each month.The most extreme maximum and average maximum temperature both occurred in July while the extreme minimum and average temperature both occurred in January.(2) LST and NDVI changes have similar changing tendency in a year,between which there is an obvious linear relationship.The vegetation coverage and the altitude are major influencing factors of LST,and there exists an obvious negative correlation linear relationship between LST and the above two factors.(3) Forestland,grassland and water area exert a significant regulatory effect on LST.The heat island effect of the town is very prominent and the value concerning the temperature adjustment of woodland,grassland and water area is estimated by using the energy substitution method in the study area in 2008.
     Evaluation of the value of maintaining soil moisture service:(1) There exists significant difference of the surface soil moisture in each month of the study area,and significant change in the surface soil moisture takes place with the seasonal change.In the view of the spatial distribution,the soil moisture in mountain area is significantly higher than that in the plain and basin area,consistent with the spatial difference of the topography.In the area where lakes and rivers lies,the soil moisture reduced gradually and expressed as from sub-humid to arid with the dropping moisture of lakes and rivers extending to the all directions.In general,the change in the dry soil moisture situation is more complex in the area due to the complex impact of micro-topography.(2) In the view of soil moisture maintenance value of different land use or cover types,the order from high to low is as followl: forest,shrub land,grassland,farmland and other types,in accordance with per unit area value of soil moisture retention in the study area.In the view of the total value of soil moisture malntainance, forestland,shrub land and grassland accounted for more than 80%in the Danjiangkou reservoir area and upper reaches,which is the key to ensure water conservation and the quality and quantity of water.
     Comprehensive evaluation of service value based on net primary productivity:(1) From the view of the inter-annual change,the total NPP of the study area shows irregular change from 2000 to 2006 because the change is affected by the temperature,precipitation and other natural and human factors apart from its land use and cover change.(2) In the view of the spatial distribution,NPP shows changing trend of first increase and then decrease,which is relevant to hydrothermal conditions change and state of cultivation brought by topography of the study area.(3) The service value concerning net primary productivity includes the aspects of the organic matter production of the ecosystem,the maintenance of atmospheric carbon dioxide and oxygen in the dynamic balance, nutrient cycling and purification of the role of environmental pollution.And in the view of the above service value,the service value of forest land,shrub land and grass land accounted for more than 75 percent of the total,which plays a decisive role for the maintenance of the entire ecosystem balance and stability.
     The combination of 3S intergrated technology and service value evaluation of ecosystem provides as a preferable technique-support tool in the aspects of quantitative and timely acquisition of the location information,as well as the more accurate evaluation of the ecosystem service.And this new method will solve the problem the conventional method can not do in the aspect of the lack of dynamic and spatial heterogeneity existed in the current ecosystem service.The service value of the Danjiangkou reservoir area and upper reaches is demonstrated in the form of currency in the end, which will improve cognition of the people in the study area.Meanwhile,it can provide as a reference for ecological compensation to find reasonable fund sources for the conservation of the natural resources and ecological environment.In additon,sensitive spatial distribution features of the ecosystem in the area can be found to provide further scientific basis for the division of ecological function region and the plan of ecological construction.As a result,the rational resource distribution both in the temporal and spatial scale will guarantee the fairness between the contemporary people and intergeneration both in intra-region and inter-region,realizing the sustainable development in the region finally.
引文
1.白雪,马克明,杨柳等.三江平原湿地保护区内外的生态功能差异[J].生态学报,2008,28(2):620-626.
    2.卜兆宏,李全英.土壤可蚀性(K)值图编制方法的初步研究[J].农村生态环境,1995,11(1):5-9.
    3.卜兆宏,周伏建.唐万龙等.水土流失定量遥感方法及其应用的研究[J].土壤学报,1997,34(3):235-241.
    4.陈乾.用植被指数监测干旱并估计冬麦产量[J].遥感技术与应用,1994,9(3):12-18.
    5.陈润政,黄上志,宋松泉等.植物生理学[M].广州:中山大学出版社,1998:22-48.
    6.陈维英,肖乾广,盛永伟.距平植被指数在1992年特大干旱监测中的应用[J].环境遥感,1994(2):106-112.
    7.陈曦,张清,周可法等.干旱区生态资产遥感定量化评估及其动态变化分析[J].科学通报,2006,51(增刊1):168-174.
    8.程乾.基于MOD13产品水稻遥感估产模型研究[J].农业工程学报,2006,22(3):79-83.
    9.仇化民,邓振镛,方德彪.甘肃省东部早作区土壤水分变化规律的研究[J].高原气象,1994,15(3):334-341.
    10.冯海霞.山东省森林调节温度的生态效益研究[D].北京林业大学博士论文,2008:32-64.
    11.高清竹,何立环.海河上游农牧交错地区生态系统服务价值的变化[J].自然资源学报,2002,17(6):706-712.
    12.郭晓寅,何勇,沈永平等.基于MODIS资料的2000-2004年江河源区陆地植被净初级生产力分析[J].冰川冻土,2006,28(4):512-518.
    13.郭中伟,甘雅玲.基于功能与空间格局的区域生态系统保育策略[J].生物多样性,2002,10(4):399-408.
    14.国志兴,王宗明,张柏等.2000年~2006年东北地区植被NPP的时空特征及影响因素分析[J].资源科学,2008,30(8):6221-5321.
    15.郝慧梅,任志远,薛亮等.基于3S的榆林市土地利用/覆盖变化生态效应定量研究[J].地理科学进展,2007(3):96-106.
    16.何勇,董文杰,季劲均等.基于AVIM的中国陆地生态系统净初级生产力模拟[J].地球科学进展,2005,20(3):345-349.
    17.侯元兆,张佩昌,王琦等.中国森林资源核算研究[M],北京:中国林业出版社,1995:1-10
    18.胡艳琳.基于GIS下宁波天童森林生态系统服务价值评估研究[D].华东师范大学博士论文,2005:1-5.
    19.江忠善,刘志,贾志伟.地形因素与坡地水土流失关系的研究[J].水土保持研究,1990,(2):1-8.
    20.姜立鹏,覃志豪,谢雯等.中国草地生态系统服务功能价值遥感估算研究[J].自然资源学报,2007,(2):161-170.
    21.康绍忠.土壤水分动态的随机模拟研究[J].土壤学报,1990,27(1):17-24.
    22.李加林,许继琴,童亿勤等.杭州湾南岸滨海平原生态系统服务价值变化研究[J].经济地理,2005,25(6):805-809.
    23.李金昌等.生态价值论[M].重庆:重庆大学出版社,1999:1-25.
    24.李绍良.粟钙土的水分状况与牧草生长[A].见:草原生态系统(第2集)[C].北京:科学出版社.1988:10-19.
    25.李文华,欧阳志云,赵景柱.生态系统服务功能研究[M].北京:气象出版社,2002:10-20.
    26.李文华,周兴民等.青藏高原生态系统及优化利用模式[M].广州:广东科技出版社,1998:30-45.
    27.李文华,李世东,李芬等.森林生态补偿机制若干重点问题研究[J].中国人口·资源与环境,2007,7(2):13-18.
    28.李英年,沈振西,周华坤.寒冻雏形土不同地形部位土壤湿度及其与主要植被类型的对应关系[J].山地学报,2004,19(3):220-225.
    29.李英年,赵新全,赵亮等.祁连山海北高寒湿地气候变化及植被演替分析[J].冰川冻土,2003,25(3):243-249.
    30.林年丰,孙平安,汤洁.松嫩平原水土保持价值的量化研究[J].水土保持学报,2006,20(1):155-159.
    31.刘伟东.高光谱遥感土壤信息提取与挖掘研究[D].中国科学院遥感应用研究所博士学位论文,2002:28-42.
    32.刘新华,杨勤科,汤国安.中国地形起伏度的提取及在水土流失定量评价中的应用[J],水土保持通报,2001,2(1):57-62.
    33.刘忠,凌峰,张秋文.MODIS遥感数据产品处理流程与大气数据获取[J].遥感信息,2005,(2):52-57.
    34.雷志栋,胡和平,杨诗秀.土壤水研究进展与评述[J].水科学进展,1999,10(3):311-318.
    35.吕婷婷,孙晓宇,于伯华.基于MODIS数据的泰国林地资源提取[J].资源科学,2008,7(30):45-51
    36.毛学森,张永强,沈彦俊.水分胁迫对冬小麦植被指数NDVI影响及其动态变化特征[J].干旱地区农业究,2002,20(1):69-71.
    37.梅安新,彭望录.遥感导论[M].北京:高等教育出版社,2003:10-25.
    38.宁龙梅,王学雷.基于RS和GIS的武汉市生态系统服务价值变化研究[J].生态环境,2006,15(3):637-640.
    39.牛文元.牛文元委员警告:GDP18%以上“透支”生态环境[OL].http://www.lianghui.org.cn,2004-3-12.
    40.欧阳志云,李文华.生态系统服务功能内涵与研究进展[M].北京:气象出版社,生态系统服务功能研究:1-27.
    41.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):635-64.
    42.欧阳志云,赵同谦,赵景柱等.海南岛生态系统生态调节功能及其生态经济价值研究[J].应用生态学报,2004,15(8):1395-1402.
    43.朴世龙,方精云,郭庆华.利用CASA模型估算我国植被净第一性生产力[J].植物生态学报,2001,25(5):603-608.
    44.朴世龙,方精云.1982-1999年青藏高原植被净第一性生产力及其时空变化[J].自然资源学报,2002,17(5):373-380.
    45.史学正,邓西海.土壤可蚀性研究现状及展望[J].中国水土保持,1993,(5):25-29.
    46.史学正等.用人工模拟降雨仪研究我国亚热带土壤的可蚀性[J].水土保持学报,1995,9(3):38-42.
    47.粟晓玲,康绍忠,佟玲.内陆河流域生态系统服务价值的动态估算方法与应用[J].生态学报,2006,26(6):2011-2019.
    48.隋洪智,田国良.热惯量方法监测土壤水分[A].黄河流域典型地区遥感动态研究[M].北京:科学 出版社.1990:56-67.
    49.汤洁,斯蔼,卢远等.土地利用变化对松嫩平原腹地生态系统服务价值的影响[J].干旱地区农业研究,2007,25(4):30-35.
    50.陶波,李克让,邵雪梅等.中国陆地净初级生产力时空特征模拟[J].地理学报,2003,58(3):372-380.
    51.仝兆远,张万昌.基于MODIS数据的渭河流域土壤水分反演[J].遥感信息,2008,(1):66-73.
    52.王爱玲,朱文泉,李京等.内蒙古生态系统服务价值遥感测量[J].地理科学,2007,27(3):325-330.
    53.王根绪,沈永平,钱鞠等.高寒草地植被覆盖变化对土壤水分循环影响研究[J].冰川冻土,2003,25(6):653-659.
    54.王静,何挺,李玉环.基于高光谱遥感技术的土地质量信息挖掘研究[J].遥感学报,2005,9(4):438-445.
    55.王如松等.现代生态学的热点问题研究[M].北京:中国科学技术出版社,1996:409-421.
    56.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,1996,16(5):1-20.
    57.王艳艳,杨明川,潘耀忠等.中国陆地植被生态系统生产有机物质价值遥感估算[J].生态环境,2005,14(4):455-459.
    58.肖寒,欧阳志云,赵景柱等.森林生态系统服务及其生态经济价值评估初探—以海南岛尖峰岭热带森林为例[J].应用生态学报,2000,11(4):481-484.
    59.肖文发,徐德应.森林能量利用与产量形成的生理生态基础[M].北京:中国林业出版社,1999:33-65.
    60.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):6-9.
    61.谢红霞,任志远,李锐.区域生态系统服务价值时空异质性研究——以铜川市城郊区为例[J].干早区地理,2007,30(1):122-127.
    62.徐德应,郭泉水,阎洪等.气候变化对中国森林影响研究[M].北京:中国科学技术出版社,1997:34-65.
    63.薛达元,包浩生,李文化.长白山自然保护区森林生态系统间接经济价值评估[J].中国环境科学,1999,19(3):247-252.
    64.杨勤科,李锐,王占礼.区域水土流失监测与评价指标体系研究[J].水土保持通报,2000,20(7):74-77.
    65.姚春生,张增祥,汪潇.使用温度植被干旱指数法(TVDI)反演新疆土壤湿度[J].遥感技术与应用,2004,19(6):473-478.
    66.游松财,李文卿.GIS支持下的土壤侵蚀量估算——以江西省泰和县灌溪乡为例[J].自然资源学报,1999,14(1):62-68.
    67.于格,鲁春霞,谢高地.青藏高原草地生态系统服务的季节动态变化[J].应用生态学报,2007,18(1):47-51.
    68.于遵波.草地生态系统价值评估及其动态模拟[D].中国农业大学博士论文,2005:14-54
    69.岳书平,张树文,闫业超.东北样带土地利用变化对生态系统服务价值的影响[J].地理学报,2007,62(8):880-886.
    70.张超,王会肖.土壤水分研究进展及简要评述[J].干旱地区农业研究,2003,21(4):117-120.
    71.张晓浩,黎夏,施迅等.广东省水稻生物质能的估算[J].遥感信息,2007.(1):26-29
    72.张岩,袁建平,刘宝元.土壤侵蚀预报模型中的植被覆盖与管理因子研究进展[J].应用生态学 报,2002,13(8),1033-1036.
    73.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):1918-1926.
    74.赵立军,陈焕伟,白晓飞.基于GIS技术的伊金霍洛旗土壤保持生态服务功能价值评价[J].中国水土保持,2004(7):20-22.
    75.赵同谦,欧阳志云,贾良清等.中国草地生态系统服务间接价值评价[J].生态学报,2004,24(6):1101-1109.
    76.周成虎,杨晓梅,骆剑承,等.遥感影像地学理解与分析[M],北京:科学出版社,2001:3-4.
    77.朱文泉,潘耀忠,龙中华等.基于GIS和RS的区域陆地植被NPP估算.以中国内蒙古为例[J].遥感学报,2005,9(3):300-307.
    78.朱自玺,牛现群,侯建新.冬小麦水分动态分析和干旱预报[J].气象学报,1988,46(2):201-209.
    79.Box E O.Estimating the seasonal carbon source-sink geography of a natural,steady state terrestrial biosphere[J].Appl,Meteorol.1988,(27):1109-1124.
    80.BU Z H,LI Q Y,preliminary study on the method of soil erodibility value map-ping[J],Journal of Ecology and Rural Environment,1995,11(1):5-9.
    81.BU Z H.ZHOU F J.TANG W L,et al.A study on uantitative remote sensing method of soil erosion and its application[J].Acta pedologica sinica,1997,34(3):235-24.
    82.Carlson T N,Gllies R R,Perry E M.A method to make use of thermal infrared temperature and NDVI measurement to infer surface soil water content and fractional vegetation cover[J].Remote Sensing Review,1994,(52):45-59.
    83.Costanza R,Arge R,Groot,et al.The value of the world's ecosystem services and natural capital.Nature,1997,(387):253-260.
    84.Cramer W,Kicklighter D Q,Bondeau A,et al.Comparing global models of terrestrial net primary productivity(NPP):Overview and key results[J].Global Change Biology,1999,5(supp.1):1-15.
    85.Daily G C.Nature's Services:Societal Dependence on Natural Ecosystems[M].Washington D C:Island Press,1997.
    86.De Groot R S,Wilson M A,Boumans R M J.A typology for the classification,description and valuation of ecosystem functions,goods and services[J].Ecological Economics,2002,(41):393-408.
    87.Ehrlich P.R.,Ehrlich A.H.(1981).Extinction:The cause and consequences of the disappearance of species.Random House,New York.
    88.Farber S C,Costanza R,Wilson M A.Economic and ecological concepts for valuing ecosystem services[J].Ecoi-Econ,2002,(41):375-392.
    89.Field C B,Behrenfeld M J,Randeson J T,et al.Primary production of the biosphere:integrating terrestrial and oceanic components[J].Science,1998,(281):237-240.
    90.Guo ZW,Xiao XM,Gan YL,et al.Ecosystem functions,Services and Their Values:A Case Study in Xingshan County of China[J].Ecol.Econ,2001,(38):141-154.
    91.Howarth R B,Farber S,Accounting for the value of ecosystem services[J].Ecol-Econ,2002,(41):421-429.
    92.Idso S B,Jackson R D,Pinter PJ.Normalizing the Stress-Degree-Day Parameter for Environmental Variability[J].Agric & Fores Meteorol,1981,(24):45-55.
    93.Jackson R D,ldso S B,Reginato R J.Canopy Temperature as a Drought Stress Indicator[J].Water Resour Res,1981,(17):1133-1138.
    94.Jiang Z S,Liu Z,Jia Z W.Research for Relationships Between Topographic Factors and Loss of Soil and Water on Sloping Land,China [J].Research of Soil and Water Conservation,1990,(2):1-8.
    95.Konarska KM,Sutton PC,Castellon M.Evaluating scale dependence of ecosystem service valuation:A comparison of NOAA-AVHRR and Landsat TM datasets [J].Ecol.Econ.,2002,(41):491-507.
    96.LEONE A P,SOMMER S.Multivariate analysis of laboratory spectra for the assessment of soil development and soil degradation in the southern Apennines [J].Remote Sensing of Environment,2000,(72):346-359.
    97.Lieth H,Whittaker R H.Primary productivity of the biosphere[M].Springer-Verlag,New York,1975.
    98.Lieth H.Primary production:Terrestrial ecosystem [J].Human Ecology,1973,(1):303-332.
    99.Limburg K E,O'Neill R V,Costanza R,et al.Complex system and valuation[J].Ecol-Econ,2002,(41):409-420.
    100.Liu L Y,Zhang B,Zheng L F.Target Classification and Soil Water Content Regression Using Land Surface Temperature (LST)and Vegetation Index(VI)[J].Journal of Infrared and Millimeter Waves,2002,21 (4):269-273.
    101.LIU X H,YANG Q K,TANG GA,Extraction and Application of Relief of China Based on DEM and GIS Method,China[J].Bulletin of Soil and Water Conservation,2001,21(1):57-62.
    102.Liu Y H,Xin J F,Xin X Z,et al.Monitoring Agricultural Drought by Vegetation Index and Remotely Sensed Temperature[J].Science and Technology Review,2007,25 (6):12-18.
    103.Meyer.L.D.Evolution of the universal soil loss equation [J].Journal of Soil and Water Conservation 1984,(3):99-104.
    104.Moran M S,Clarke T R,Inoue Y.Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index [J].Remote Sens.Environ,1994,49 (3):246-263.
    105.OECD.The economic appraisal of environmental protects and policies[M].Paris:a practical guide,1995
    106.OUYANG Zhi-yun,ZHAO Tong-qian,ZHAO Jing-zhu,et al.Ecological regulation services of Hainan Island ecosystem and their valuation [J].CHINESE JOURNAL OF APPLIED ECOLOGY,2004,15(8):1395-1402.
    107.Ouyang Zh-Y,Wang R-S,and Zhao J-Zh.Ecosystem services and their valuation [J].CHINESE JOURNAL OF APPLIED ECOLOGY,1999,10(5):635-64.
    108.PALACIOS-ORUETA A,USTIN S.Remote sensing of soil properties in the Santa Monica Mountains Spectral analysis [J].Remote Sensing of Environment,1998,(65):1119-1127.
    109.Pearce D M,Moran D.The economic value of biodiversity[C].IUCN,Cambridge,1994
    110.Petit JR,Jouzel J,RaynaudD N,et al.Climate and atmospheric history of the past 420000 years from the Vostok ice core,Antarctica [J].Nature,1999,(399):429-436.
    111.Potter C S,Randerson J T,Field C B et al.Terrestrial ecosystem production:a process model based on global satellite and surface data[J].Global Biogeochemical Cycles,1993,(7):811-841.
    112.Price J C.Using spatial context in satellite data to infer regional scale evapotranspiration [J].IEEE Transaction on Geosciences and Remote Sensing,1990,(28):940-948.
    113.Pu Shilong,Fang Jingyun,GuoQinghua.Terrestrialnetprimary production and its spatio-temporal patterns in China during 1982-1999[J].Acta Scientiarum Naturilium Universitatis Pekinensis,2001,37 (4):563-569.
    114.R Constanza,R Arge,R Groot,et al.The value of the world's ecosystem services and natural capital [J].Nature,1997,(386):253-260.
    115.Raich J W,Rastetter E B.Potential net primary production in South America[J].Ecol.Appl.,1991,(1):399-429
    116.Renard KG.Foster GR,Weeies GA.Predicting soil erosion by water:A guide to conservation planning with the revised universalsoil loss equation(RUSLE)[M].U.S,Department of Agriculture.Agriculture Handbook,1997.
    117.Richars JG,EvanH D,PaulG F,et al.Primary productivity of planet Earth:Biological determinants and physical constrains interrestrial and aquatic habits [J].GlobalChange Biology,2001,(7):849-882.
    118.Running S W,Hunt E R Jr.Generalization of a forest ecosystem process model for other biomes,BIOME-BGC,and an application for global-scale models.In:Ehleringer J R,Field C B (eds.),Scaling Physiological Biological Processes.New York:Academic Press,1993.141-158.
    119.Sandholt L,Rasmussen K,Andersen J.A Simple Interpretation of the Surface Temperature/Vegetation Index Space for Assessment of Surface Moisture Status[J].Remote Sensing of Environment,2002,(79):213-224.
    120.Sui H Z,Tian G L,Li F Q.Two-layer Model for Monitoring Drought Using Remote Sensing[J].Journal of Remote Sensing,1997,1 (3):220-224.
    121.TANG Guoan.A Reseach on the Accuracy of Digital Elevation Models [M].Beijing:Science Press,2000.
    122.Tian G L,Yang X H,Zheng K.Remote Sensing Model for Wheat Drought Monitoring[J].Journal of Remote Sensing,1992,7 (2):83-90.
    123.Turner,R.K.,Paavola,J.,Coopera,P.,Farber,S.,Jessamya,V.,Georgiou,S.Valuing nature:lessons learned and future research directions[J].Ecological Economics.2003,(46):493-510.
    124.WANG Ai-Ling,ZHU Wen-Quan,LI Jing,et al.Measurement of Ecosystem Service Value Based on Remote Sensing——Case Study in Inner Mongolia,China [J].SCIENTIA GEOGRAPHICA SINICA,2007,27(3):325-330.
    125.WANG W Z,JIAO J Y.Qutantitative Evaluation on Factors Influencing Soil Erosion in China [J],Bulletin of Soil and Water Conservation,1996,16(5):1-20.
    126.Waston K,Rowen L C,Offield T W.Application of thermal modeling in the geologic interpretation of IR images [J].Remote Sensing of Environment.1971,(3):660-634
    127.Westman W.How much are nature's services worth [J].Science,1977,(197):960-964.
    128.Wischmeier WH,et al.Predicting Rainfall Erosion Losses:A Guide to Conservation Planning[M],USDA,ARS,Agricultural Handbook,Washington D.C,1978:537.
    129.Wittaker R H,Likens G E.The biosphere and man [A].In:Wittaker R H,Likens G E,eds.Primary Productivity of the Biosphere [C].Berlin:Springer,1977.305-328.
    130.XIAO Han,OUYANG Zhiyun,ZHAO Jingzhu et al.Forest ecosystem services and their ecological valuation A case study of tropical forest in Jianfengling of Hainan island[J].CHINESE JOURNAL OF APPLIED ECOLOGY,2000,11(4):481-484.
    131.Xiao Q G,Chen W Y,Sheng Y W,et al.A Study on Soil Moisture Monitoring Using NOAA Satellite[J].Quarterly Journal of Applied Meteorology,1994,5 (2):312-317.
    132.Xin J F.The Research of Regional Drought Monitoring with Remote Sensing[R].Report on the Work of Post-Doctoral Research,Institute of Remote Sensing Applications,Chinese Academy of Sciences,2003.
    133.You Song-cai,Li Wen-qin.Estimation of soil erosion supported by GIS—A case study in Guanji Township,Taihe,Jiangx[J],JOURNAL OF NATURAL RESOURCES,1999,14(1):62-68.
    134.Zhang R H.Improved Thermal Inertia Model and Remote Sensing of Soil Moisture[J].Geographical Research,1990,9(2):101-112.
    135.ZHANG Y,YUAN J P,LIU B Y,Advance in researches on vegetation cover and management factor in the soil erosion prediction model [J],Chinese Journal of Applied Economy,2002,13(8):1033-1036.
    136.Zhao M,Heinsch F A,Nemani R R,et al.Improvements of the MODIS terrestrial gross and net primary production global data set [J].Remote Sensing of Environment,2005,(95):164-176.
    137.Zhou Guangsheng,ZhangXinshi Study on NPP of natural vegetation in China under global climate change[J].ActaPhytoecologica Sinica,1996,20(1):11-19.

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