黄河中下游过渡区近20年来县域土地利用变化研究
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摘要
土地利用是人与自然的最直接的对话,人地矛盾代表了人与环境间最大的利害冲突。20世纪60年代以来,伴随着全球经济迅猛发展,人口爆炸性地增长。人类面临着人口膨胀、资源匮乏和环境变化三大危机,人地矛盾日益激化,进而全球环境变化研究日益受到重视。大量的研究表明,土地利用/土地覆被变化(LUCC)是引起全球环境变化的最重要的原因之一,而土地的可持续利用是有效解决全球环境、资源等问题的有效途径。
     国内外关于LUCC开展了许多卓有成效的研究工作。这些工作对深化LUCC理论、指导区域实践及后续研究都具有非常大的意义。但在研究中仍存在着一些不足,如对非“热点”,但土地利用条件独特,人地关系复杂的特殊区域研究不够,不利于LUCC理论的进一步深化和通用模型的建立;土地利用变化作为仅次于化石燃料燃烧的影响人为二氧化碳排放的第二大因素,其碳汇效应在中、小区域尺度上的研究还很不深入,而土地利用具体调控大多和中小尺度尤其是县域尺度相一致;土地可持续利用评价的参照标准和评价依据不统一、可比性差,实践意义不强。因此,在一个土地利用条件较为独特的特殊区域内,系统地分析区域LUCC规律,揭示LUCC的驱动机制,采用统一标准评价LUCC的可持续性,指出土地利用中存在的不可持续因素,根据区域水土资源状况和社会经济发展水平,提出可持续土地利用的对策和建议,既具有重要的区域实践价值,又具有进一步深化LUCC研究的重要理论价值。
     黄河中下游过渡区位于我国第二级地貌台阶与第三级地貌台阶的接触部位,为黄土高原的后缘,系太行山前丘陵向黄河冲积平原过渡地带,黄河在该区河道逐渐展宽,泥沙开始大量沉积,因此,该区受黄河影响深刻,拥有较大面积的黄河滩地、湿地、另有较大面积的河谷冲积平原以及低山丘陵区,地形复杂,光、热、水等资源差异明显,区位特殊,土地利用条件独特。近些年,该区经济发展迅速,土地利用变化剧烈,导致人地关系紧张。本文以黄河中下游过渡区的孟州市为研究样区,以LUCC的方法、思想为依托,运用人地关系理论、土壤学理论、土地经济学理论、遥感和GIS学科等相关理论和方法,对这一LUCC特殊区域的土地利用变化及驱动力进行深入研究;对区域土地利用变化的资源环境效应和碳效应进行了分析评价;根据上述研究结果和区域土地利用实际,尝试构建了乡镇土地可持续利用的资源环境、社会和经济指标体系,并在此基础上,统一以某指标全市平均水平作为该指标评价的“阈值”,给出了各乡镇土地利用相对可持续性的空间和时间尺度上的评价,并指出了各乡镇土地利用过程中存在的不利因素;最后,提出黄河中下游过渡区土地可持续利用对策。得出了以下主要结论:
     1)黄河中下游过渡区的孟州市近20年的土地利用变化主要是:建设用地逐年增加;林地、园地面积有较大扩展;耕地面积总量变化不大,质量有所下降;水域、未利用地面积不断减少。耕地、林地和园地的变化主要发生在黄土丘陵向冲积平原过渡地带的乡镇;建设用地和水域滩地面积变化主要发生在黄河沿岸的乡镇;冲积平原上的乡镇,各土地利用类型的相对变化率均较大;耕地和建设用地分布较为均衡,其它地类集中分布在部分乡镇中,整体格局保持不变。土地利用程度综合指数值属中等偏上水平,土地利用由快速发展期开始走上稳定期。
     2)土地利用变化的驱动机制分析表明:本区土地利用变化主要受到了地貌、气候、水文、土壤、植被以及自然灾害等自然驱动力和人口、社会经济发展水平、技术进步、政策以及区域文化环境等人文驱动力的共同作用影响。
     3)农田排灌系统的不断完善,影响了水分在区域中的再分配与运行过程,陵区地下水位普遍上升2-3米,而在平原低洼易涝地,地下水位下降,使盐碱地得到改良;采取秸秆还田、引黄淤灌等多种土壤培肥、改良措施,区域水土资源环境得到了明显改观。另一方面,由于黄河流域近年来气候变干、降水量减少,农业灌溉用水的大幅增加,又导致了区域水资源不足,湿地面积减小,地下水采补失衡,部分地区形成大面积地下水降落漏斗,以及生活污水和工业废水污染农田等新的水土资源环境问题,严重影响了区域土地的可持续利用和社会经济的进一步发展,成为新时期区域土地利用研究和土地利用管理的重点。
     4)1987-2007年间,孟州市由于土地利用转类造成县域陆地生态系统总碳储量增加99.69×103MgC,这表明在近20年里,孟州市土地利用变化的碳效应总的表现为较弱的碳汇作用。其中林、园地尤其是林地由于具有较高的植被碳密度和土壤碳密度,其面积增加增强了区域陆地生态系统的固碳能力,起着碳汇作用;而水域滩涂的大量开垦及建设用地的大幅增加则是导致区域植被碳储量减少的重要原因。因此,未来在严格控制建设用地的同时,要加大植树造林力度,以增加区域陆地生态系统中的碳储量,减少碳排放。
     5)将土地利用系统可持续性评价指标体系分为目标层、子目标层、准则层、指标层四个层次,采用目标分解法构建框架结构;以孟州市为研究样区,从微观尺度出发,基于多源数据,并针对孟州市土地利用特点,从土地利用系统的资源环境、经济和社会等方面建立指标体系;在此基础上,统一以某指标全市平均水平作为该指标评价的“阈值”,给出了各乡镇土地利用相对可持续性的空间和时间尺度上的评价,指出了各乡镇土地利用过程中存在的不利因素。评价结果:土地利用系统相对可持续性较高的乡镇主要分布在孟州市的平原地区,较低的乡镇主要分布在丘陵区,且这种差距在不断拉大。从资源环境可持续性、经济可持续性和社会可持续性三个不同土地利用效应来看,不同乡镇之间互不相同,其中,资源环境相对可持续性差别较小,经济相对可持续性差别较大。同一乡镇土地利用不同方面的相对可持续性差别也较大,一些乡镇虽然资源环境和经济相对可持续性均较高,但社会相对可持续性较低,个别乡则土地利用各方面相对可持续性均十分低,这些落后地区在进行县域发展规划时应给予重点扶持。
     6)采用对地物光谱影响较大的地貌因素(高程、坡度及地表组成物质)对研究区进行分区解译,使得在同一区中的相同地物类型具有较为一致的光谱特征,不同的地物之间则有较大的光谱差异,可减少“同物异谱”现象,并同时使用多层次提取法,可在一定程度上提高遥感影像的解译精度。
It is the most direct dialogue between people and the nature and human-land conflict represents the greatest conflict between people and environment. Since 1960s with global economy developing rapidly and population explosion mankind has faced three major crises of population expansion, resource shortage and environment changes. As a result of human-land conflict sharpening day by day studies on global environmental change are paid more attention. A large amount of research indicated that Land use-cover change (LUCC) is one of the most important reasons causing the global environment change, and sustainable land use is the effective way of solving problems such as global environment and resources,etc..
     Highly successful researches on LUCC have been launched home and abroad, making LUCC theory deeper and instructing follow-up studies. But some insufficient still existed. For example studies on special region of not-hot spot were not enough, causing shortages of deepening theory and constructing general model. As the second leading factor of carbon emission carbon effective on village and town area were shortage. Standards and reference of LUCC sustainability evaluation were not uniform and weak in practice. So, it not only had the practical value of special region but also had the value of LUCC theory through adopting uniform LUCC standard, pointing out the unsustainable factor in LUCC and putting forward countermeasure and suggestion according to the regional water and soil resources and social economic development level in a given region.
     The middle-lower transition region of the Yellow River located in the contact of the second landscape step and the third landscape step, being the trailing edge of Loess Plateau and the transition area between the front hills of Taihang Mountain and the alluvial plain of Yellow River. This district is influenced by the Yellow River deeply. The Yellow River opens up gradually and a large amount of silt begins to deposit. Here is large beach, wetland, and valley alluvial plain and low hill area. The special topography are with different resources of light, heat, water,etc. and unique LUCC conditions. In recent years, the economy grown fast, the land use changed violently and human-land conflict relation was nervous. In this paper Mengzhou City was chosen as the study city. LUCC and driving mechanism were studied deeply through human-land theory, soil theory, land economy theory and GIS and RS technology and resource environmental effect and carbon effect were evaluated. Based on above result land use relative sustainability evaluation of villages and towns was gained and relative land use obstacle factors were given regarding average level of the whole county as "Threshold". Finally, sustainable land use countermeasures and suggestions on middle-lower transition region of the Yellow River were given. The results showed:
     1) The main land use change in Mengzhou City for the past 20 years was that building area increased year by year, forest and garden area expanded greatly, farm area did not change generally bur with quality dropping, water and un-used area reduced constantly. Changes of the farm land, forest land and garden land mainly located in the town of transition area from loess hills to alluvial plain. Change of building and water beach mainly located in villages and towns along the Yellow River. The relative change rate of every land use pattern in the alluvial plain was great. Farm and building land distributed evenly and other kind of land concentrated in some villages, showing intact pattern for the past 20 years. Comprehensive index of land use belonged to medium and above grade, showing that land use stepped into steady period from developing fast period.
     2)The analysis on driving mechanism of land use change showed that land use change mainly influenced synthetically by natural driving forces such as landscape, climate, hydrology, soil, vegetation, natural calamity and humane driving force such as population social economic development, technological progress, policy, regional cultural environment.
     3)The constant completion of farmland drains and irrigates influenced water reallocation and operation courses. In this area water level in hills generally rose by 2-3 meters, but that in the low-lying area in plain dropped, making the salt-alkaline area to be better. Soil improvement methods such as straw returning and basin irrigation from the Yellow River made the water and soil resources environment obviously change better. On the other hand, climate becoming dry in recent years, precipitation in the Yellow River Basin reducing and great incensement on agricultural irrigation water produced new environmental problems like that regional water resource became insufficient, wetland area reduced, groundwater level dropped and sanitary sewage and industry waste water polluted farmland. This seriously influenced the sustainable land use and social economy further development, and became the key point of land use research and management in new period.
     4) From 1987 to 2007, because of land use change carbon storage in Mengzhou City increased by 99.69* 103 MgC. This showed that carbon effect in Mengzhou City was a weak sink. Because of forest land having high vegetation carbon density and soil carbon density, its area increase played a key role in enhancing carbon sink ability. Large reducing water areas and the increase of building land was the main reason of regional vegetation carbon reducing. So in order to increase the carbon storage of the local land ecosystem and reduce carbon emission policy such as planting trees should be enhanced while controlling building area strictly in the future.
     5) Land use relative sustainability evaluation of villages and towns was constructed from micro angle through considering spatial heterogeneity of villages and towns, and combining index scheme of natural - economy - safety with that of production - safety - protection - economy - society. The land use high relative sustainability area in Meng town mainly located in the plain area, the low one in the northwestern hills. Spatial distribution of resources and environment shown that northeast area was better and west and south hills areas was worse; spatial distribution of production shown that east plain area was strong and west hills areas was weak; spatial distribution of stability shown that east plain area was good, and west hills areas was bad and south Yellow river beach was the worst; spatial distribution of protective shown that south area was strong, north area was weak and east plain area of high population density was weaker. The economic structure and benefits in the western hills area were generally relatively bad, social structure and benefit were relatively better. And the fact was just opposite in the eastern plain area. From 1986 to 2004 spatial distribution of land use relative sustainability was unchangeable generally, showing that east and south area was good and west and north area was bad. The gap between the highest and the lowest was 0.624 in 1986 and increased to 0.889 in 2004, showing a obvious polarization.
     6) It was a trend that image was classified under combining multi-source remote sensing data with non-remote sensing data by GIS technology. This was because that multi-source data can overcome the lost or error of series data. Meanwhile land use classification accuracy could be effectively improved using background database or expert knowledge database based upon quantitative data of natural and human factors processed by GIS. In this paper, technological framework of land use information extraction was established using multi-source remote sensing data (TM and CBERS-02B), DEM, slope data, land use map and other geographic auxiliary data. The method of multi-level supervised classification was adopted. First urban building and water were extracted on TM 1-4-5 image. Then TM 3-4-5 image was masked by above classified land for remnant land use information extraction. As to CBERS it was 1-2-4 and 4-3-2 respectively. Finally above each classification was overlapped by ERDAS in order to obtain overall land use map. Interpretation accuracy was improved by establishing background database through GIS technology. First, non-remote sensing information, such as topographic map, soil map, land-use map, transportation map, etc, was integrated as background database. Then land use classifications were overlapped with above database. In the study area dry land spectrums in plain area, hilly area and the Yellow River flood plain were very different and spectrums of habitation in plain and the Yellow River land wash were the same. As for above phenomenon of“same object with different spectrums”and“different objects with same spectrum”, expert knowledge database was established based upon correlation between remote sensing image and geographical environment.
引文
ACIAR/ IBSRAM. 1991,Proceedings of the International Workshop on Evaluation for Sustainable Land Management in the Developing World. Technical Papers ,Chiang Rai ,Tailand., 2.
    Allen R.B., Clinton P.W., Davis M.R. 1997,Carbon Storage and Availability along a Nothofagus Forest Development Sequence in New Zealand. Can. J. For. Res., 27(3):323-330.
    Barbieri A.,Bilsborrow R.,Pan W. 2005,Farm Household Lifecycles and Land Use in the Ecuadorian Amazon .Population and Environment, 27(1):1- 27.
    Berroteran J., Zinck A. 1997,Criteria and Indicators of Agricultural Sustainability at National Level. Proceedings of the ISSS-ITC Conference on Geo-informationfor Sustainable Land Management , Enschede ,Netherlands.
    Brown S.,Shrestha B. 2000, Market-driven Land-use Dynamics in the Middle Mountains of Nepal.Journal of Environmental Management, 59(3):217- 225.
    Bushchbacher R., Uhl C., Serrao E.A.S. 1988, Abandoned Pastures in Eastern Amazonia. II. Nutrient Stocks in the Soil and Vegetation. J. Ecol., 76: 682–699.
    Cassman K., Wood S., Choo P.S., Dixon J., Gaskell J.,et al.2005, Cultivated Systems.In:Scholes R, Rashid H(eds)Millennium Ecosystem Assessment: Working Group on Conditions and Trendsl. Island Press, Washington D.C.
    Changon S. A. and Semonim R. G. 1979, Impact of Man upon Local and Regional Weather. In : Reviews of Geophysics and Space Physics. 17 :1891-1900.
    Charney J., Stone P.H.1975,Drought in the Sahara: A Biogeophysical Feedback Mechanism. Science, 187:434-435.
    Crist P.J., Kohley T.W., Oakleaf J. 2000, Assessing Land-use Impacts on Biodiversity Using an Expert System Tool. Landscape Ecol, 15: 47-62.
    DeFries R. S., Asner G. P., Houghton R.A.(eds).2004c, Ecosystems and Land Use Change. Geophysical Monograph 153. American Geophysical Union, Washington D.C.
    Dixon R. K., Brown S., Houghton R. A., et al.1994, Carbon Pool and Flux of Global Forest Ecosystems. Science, 263:185-190.
    Dumanski J. 1994, Assessing the Sustainable of Saskatchwan Farming System. CLBRR Technical Bulletin.
    Dumanski J. 1997, Criteria and Indicators for Land Quality and Sustainable Land Management. Proceedings of the ISSS-ITC Conference on Geo-informationfor Sustainable LandManagement .Enschede ,Netherlands.
    Eltahir E.A.B., Bras R.L.1996, Precipition Recycling.Rev. Geophys.,34:367-378.
    Evans T. P., Manire A.,Castro F. D.,et al.2001, A Dynamic Model of Household Decision-making and Parcel Level Landcover Change in the Eastern Amazon. Ecological Modelling, 143(1- 2):95- 113.
    FAO. 1976, A Framework for Land Evaluation. FAO Soil. Bulletin 32.
    FAO. 1993,FESLM : An International Framework Evaluating Sustainablel and Management . World Soil Resources Report 73.
    Fang J.Y., Liu G. H., Xu S. L.1998, Forest Biomass of China: an Estimation Based on the Biomass-volume Relationship. Ecological Applications, 8: 1084-1091.
    Fridolin Krausmann, Helmut Haberl, Niels B., et al. 2003a, Land-use Change and Socio-economic Metabolism in Austria-Part I: Driving Forces of Land-use Change: 1950-1995. Land Use Policy 20: 1-20
    Fu B.J., Ma K.M., Zhou H. F., et al. 1999, The Effect of Land Use Structure on the Distribution of Soil Nutrients in the Hilly Area of the Loess Plateau. Chin. Sci. Bull. 44 (8): 732–736.
    Gameda S., Dumanski J., Actor D.1997, Farm Level Indicators of Sustainable Land Management Geo-information for Sustainable Land Management. ISSS/ ITC, Enschede, Netherlands.
    Gornitz V. A.1985, Survey of Anthropogenic Vegetation Changes in West Africa during the Last Century: Climatic Implications. Climatic Change, 7: 285-325.
    Grame M., Hall J., Susank W., et al. 2001, Strategies to Estimate National Forest Carbon Stocks from Inventory Data: The 1990 New Zealand Baseline. Global Change Biol.,7 :389~403
    Halvorson A.D., Reule C.A., Anderson R.L.2000, Evaluation of Management Practices for Converting Grass Land Back to Cropland. Soil Water Conserv., 55: 57–62.
    Henderson-Sellers A., Wilson M. F.1983, Surface Albedo Data for Climatic Modeling. Review of Geophysics and Space Physics, 21: 1743-1778.
    Houghton R.A., Roone R.D., Melillo J.M., Palm C.A., et al.1985, Net Flux of Carbon Dioxide from Tropical Forest in 1980.Nature, 316:617-620.
    Houghton R. A., Skole D. L., Lefkowitz D. S.1991, Changes in the Landscape of Latin America between 1850 and 1985: II Net Release of CO2 to the Atmosphere. Forest Ecology and Management,38:173-199.
    Houghton R. A. 1995, Changes in Storage of Terrestrial Carbon since 1859. In: Lal R., Kimbkle J.and Levineeds E., eds. Soils and Global Change. Boca Raton: CRC Press, 45-65.
    IPCC. 2006, IPCC Guidelines for National Greenhouse Gas Inventories. Volume 4: Agriculture;Forestry and Other Land Uses (AFOLLI) . Hayama, Japan: IPCC/IGES.
    ISSS/ITC. 1997, Sustainable Land Management & Geoinformation (abstract). ITC.Enschede,Netherlands.
    Jager A.D., Kariuku I.,Matiri F.M., et al.1998, Monitoring Nutrient Flows and Economic Performance in African Farming Systems (NUTMON):IV.Linking Nutrient Balances and Economic Performance in three Districts in Kenya.Agriculture, Ecosystems & Environment,71(1- 3):81- 92.
    John E., Tiffen M., Mortimore M.1994, Land Resource Management in the Machakos District 1930-1990. World Bank Environment Paper 5.
    Kalnay E., Cai M. 2003, Impact of Urbanization and Land-use Change on Climate. Nature,423:528-531.
    Karlen D. 2004, Soil Quality as an Indicator of Sustainable Tillage Practices. Soil Tillage Res.,78(2):129-130.
    Kennedy A.C., Papendick R.I. 1995, Microbial Characteristics of Soil Quality. Soil Water Conserv., 50: 243–247.
    Kristensen S. P. 2003, Multivariate analysis of landscape changes and farm characteristics in a study area in central Jutland, Denmark. Ecological Modelling, 168(3):303- 318.
    Lambin E. F., Baulies X., Bockstael N., et al. 1999, Land-use and land-cover change: Implementation Strategy. IGBP Report No.48 and HDP Report No.10.
    Lambin E. F.,Geist H. J. 2001, Global land-use/land-cover changes:What have we learned so far? IGBP Global Change Newsletter No.46, 27-30.
    Likens G. E. et al. 1970, Effects of forest cutting and herbicide treatment on nutrient budgets in the Hubbard Brook watershed - ecosystem. Eco. Monogr., 40 :23-27.
    Liu Jiyuan,Huang Yujie, Chang Jie. 2001, The application of Spatial Lorenz curve in spatial structure analysis of land use. Proceeding of international conference of land use /cover change dynamics, 203-209.
    Mertens B.,Sunderlin W.D.,NdoyeEric O.,et al. 2000, Impact of macroeconomic change on deforestation in South Cameroon: Integration of household survey and remotely-sensed data.World Development, 28(6):983- 999.
    Meyer W. B., Turner BLⅡ. 1994, Change in land use and lang cover: A global perspective. London: Cambridge University Press.
    Millennium Ecosystem Assessment. 2003, Ecosystems and human well-being: A framework for assessment. Island Press, Washington D.C.,245pp.
    Ni J. 2001, Carbon Storage in Terrestrial Ecosystems of China: Estimates at Different Resolutions and Their Responses to Climate Change. Climatic Change, 49(3): 339-358.
    Novotry V., Olem H. 1993, Water quality: prevention, identification and planning. Water Resource Planning Management,119:306.
    Ojima D., Lavorel S., Graumlich L., et al. 2002, Terrestrial human-environment systems: The future of land research in IGBPⅡ.Global Change Newsletter, (50): 31-35.
    Otterman J. 1974, Baring high-albedo soils by overgrazing: A hypothesised desertification mechanism. Science, 86:531-533.
    Overmars K. P., Verburg P. H. 2006, Multilevel modelling of land use from field to village level in the Philippines. Agricultural Systems, 89(2 /3):435- 456.
    Paul K. I., Polglase P. J., Nyakuengama J. G., et al. 2002, Change in soil carbon following afforestation . For. Ecol. Man., 168:241-257.
    Peterjohn W. T., Correll D. L. 1984, Nutrient dynamics in an agricultural watershed: observations of the role of a riparian forest . Ecology, 65(5):1466-1475.
    Pichón F. J. 1997, Settler households and land-use patterns in the Amazon frontier:Farm-level evidence from Ecuador. World Development, 25(1):67- 91.
    Pielke R. A., Dalu G. A., Snook J. S., et al. 1991, Nonlinear influence of mesocale land use on weather and climate. Journal of Climate, 4:1053-1069.
    Ransom J. K., Paudyal K., Adhikari K. 2003, Adoption of improved maize varieties in the hills of Nepal. Agricultural Economics,29(3):299- 305.
    Romero H., Ihl M., Rivera A. 1999, Rapid urban growth,land-use changes and air pollution in Santiago,Chile. Atmospheric Environment, 33(24- 25):4039- 4047.
    Sagan C., Toon O. B., Pollack J. B. 1979, Anthropogenic albedo changes and the Earth’s climate. Science, 206:1363-1368.
    Sala O.E., Chapin F.S, Armesto J.J, et al. 2000, Biodiversity:Global biodiversity scenarios for the year 2100.Science, 287:1770-1774.
    Sampson R. N., Apps M.and Brown S. 1993, Terrestrial biosphere carbon fluxes quantification of sinks and sources of CO2. Water, Air and Soil Poll., 70: 3-15.
    Shapiro B. I., Sanders J. H. 1998, Fertilizer use in semiarid West Africa profitability and supporting policy. Agricultural Systems, 56(4):467- 482.
    Smaling E. M. A., Fresco L. O. 1993, A decision-support model for monitoring nutrient balances under agricultural land use (NUTMON ). Geoderma,60:235- 256.
    Soini E. 2005, Land use change patterns and livelihood dynamics on the slopes ofMt.Kilimanjaro,Tanzania. Agricultural Systems, 85(3):306- 323.
    Tegart W. J. McG , Sheldon W.G. and Griffiths D. C. 1990, Climatic. Change: The IPCC Impacts assessment. IPCC Working Group II. Australian Government Publishing Service, Australia,275.
    Turner BLⅡ. 1991, Thoughts on Linking the Physical and Human Sciences in the Study of Global Environmental Change. Research and Exploration,133-135.
    Turner BL II, Meyer W. B. 1991, Land use and land cover in global environmental change: considerations for study. International Social Science J, 130: 669-679.
    Turner BLⅡ, Meyer W. B., Skole D. L. 1994, Global land-use/land-cover change: towards an integrated program of study. Ambio, 23(1): 91-95.
    Turner BLⅡ,Skole D., Sanderson S., Fischer G., Fresco L., Leemans R.1995, Land-use and land-cover change science/research plan. IGBP Glob. Change Rep.35/HDP Rep.7, 60-63.
    Turner BLⅡ, Moss R. H., Skole D. L.(eds).1993b, Relating Land Use and Global Land Cover Change: A Proposal for an IGBP-HDP Core Project. IGBP Rep. 24 / HDP Rep. 5. International Geosphere-Biosphere Programme ,Stockholm.
    Turner D.P., Koepper G.J., Harmon M.E., et al. 1995, A carbon budget for forests of the conterminous United States. Ecol Appl. ,5 :421-436.
    University of Lethbridge . 1993, Proceedings of the International Workshop on Sustainable Land Management for 21st Century. Vol. 2 Plenary Papers ,Lethbridge ,Canada.
    Verburg Peter, Veldkamp W., Limpiada R., et al. 2002, Modeling the spatial dynamics of regional land use: the CLUE-S model. Environmental Management, 30(3):391-405.
    Vitousek P.M., Mooney H.A., Lubchenco J., Melillo J.M. 1997,Human domination of Earth’s ecosystems. Science, 277(5335):494-499.
    Williams R. D., and Nicks A. D.1993, A modelling approach to evaluate best management practice. Water Science and Technology,28(3-5):675-678.
    Wood E.C.,Tappan G.G.,Hadj A. 2004, Understanding the drivers of agricultural land use change in south-central Senegal .Journal of Arid Environments, 59(3):565- 582.
    Woodwell G. M., Hobbie J. E., Houghton R. A., et al. 1983, 1983,Global deforestation: Contribution to atmospheric carbon dioxide. Science, 222:1081-1086.
    Wopereis M. C. S.,Tamélokpo A.,Ezui K.,et al.2006, Mineral fertilizer management of maize on farmer fields differing in organic inputs in the West African savanna. Field Crops Research, 96(2- 3):355- 362.
    Xiangbin Kong,Fengrong Zhang,Qi Wei,et al. 2006, Influence of land use change on soil nutrients in an intensive agricultural region of North China. Soil and Tillage Research,88(1-2):85-94.
    Xiao J., Shen Y., Ge J., et al. 2006, Evaluating urban expansion and land use change in Shijiazhuang,China,by using GIS and remote sensing.Landscape and Urban Planning, 75(1- 2):69- 80.
    白由路,李云霞,李有田等.温孟滩移民安置区土壤颗粒分布特点研究.河南农业大学学报,1998,32(2):122-125.
    蔡运龙.土地利用/土地覆被变化研究:寻求新的综合途径.地理研究,2001,20(6):645-651.
    蔡运龙,李军.土地利用可持续性的度量-一种显示过程的综合方法.地理学报,2003,58(2):303-313.
    蔡为民.黄河三角洲土地利用变化及其可持续性评价[博士论文].北京:中国农业大学,2004.
    陈佑启,Peter H. Verburg.中国土地利用/土地覆盖的多尺度空间分布特征分析.地理科学,2000,20(3):197-202.
    陈佑启,杨鹏.国际上土地利用/土地覆盖变化研究的新进展.经济地理,2001,21(1):95-100.
    陈佑启,何英彬.论土地利用/覆盖变化研究中的尺度问题.经济地理,2005,25(2):152-154.
    陈百明.试论中国土地利用和土地覆被变化及人类驱动力研究.自然资源,1997,19(2):31-36.
    陈百明.基于建立区域土地可持续利用指标体系的分区方案.地理科学进展,2001,20(3):247-253.
    陈百明,张凤荣.中国土地可持续利用指标体系的理论与方法.自然资源学报,2001,16(3):197-203.
    陈百明.区域土地可持续利用指标体系框架的构建与评价.地理科学进展,2002,21(3):204-215.
    陈百明,刘新卫,杨红.LUCC研究的最新进展评述.地理科学进展,2003,22(1):22-29.
    陈健飞.“3S”技术与资源可持续利用.资源科学,1998,20(6):20-24.
    陈维明.景观生态分类与制图浅议.地球信息科学,2002,(2):61-65.
    陈涛,孙建中,盛学斌著.环渤海环境污染与自然灾害整治研究.北京:中国环境科学出版社,1998.
    陈宜瑜.中国全球变化的研究方向.地球科学进展,1999,14(4):319-323.
    陈述彭,赵英时.遥感地学分析.北京:测绘出版社,1990.
    程昌秀,严泰来,朱德海,等.GIS与RS集成的高分辨率遥感影像分类技术在地类识别中的应用.中国农业大学学报,2001,6(3):50-54.
    戴全厚,刘国彬,薛萐,等.不同植被恢复模式对黄土丘陵区土壤碳库及其管理指数的影响.水土保持研究,2008,15(3):61-65.
    丁圣彦,梁国付.近20年来河南沿黄湿地景观格局演化.地理学报,2004,59(5):653-661.
    杜自强,王建,陈正华,等.基于RS和GIS的区域土地利用动态变化及演变趋势分析.干旱区资源与环境,2007,21(1):115-119.
    方精云,刘国华,徐高龄.中国森林植被的生物量和净生产量.生态学报,1996, 16,497-508.
    方精云,陈安平.中国森林植被碳库的动态变化及意义.植物学报,2001,43 (9):967-973.
    方精云,陈安平,赵淑清,慈龙骏.中国森林生物量的估算:对Fang等Science一文(Science 2001,191: 2320-2322)的若干说明.植物生态学报,2002, 26:243-249.
    封志明,刘玉杰.土地资源学研究的回顾与前瞻.资源科学,2004,26(4): 2-9.
    傅伯杰,陈利顶,马诚.土地可持续利用评价的指标体系与方法.自然资源学报.1997,12(2):113-118.
    傅伯杰,马克明,等.黄土丘陵区土地利用结构对土壤养分分布的影响.科学通报,1998,43(22):2444-2447.
    傅伯杰,陈利顶,马克明.黄土丘陵区小流域土地利用变化对生态环境的影响——以延安市羊圈沟流域为例.地理学报,1999,54(3):241-246.
    高中贵,彭补拙,濮励杰.长江三角洲地区粮食安全性度量研究.人文地理,2006,21(1): 80-84.
    高中贵,彭补拙,喻建华,等.经济发达区土地利用变化对土壤性质的影响——以江苏省昆山市为例.自然资源学报,2005,(1):46-53.
    顾朝林.北京土地利用/覆盖变化机制研究.自然资源学报,1999,14(4):307-312.
    管华.黄河下游沿岸湿地的分布特征、功能和稳定性分析.河南大学学报(自然科学版),2000,30(4):74-77.
    郭旭东,陈利顶,傅伯杰.土地利用土地覆被变化对区域生态环境的影响.环境科学进展,1999,7(6):66-75.
    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——以河北遵化市为例.地理学报,2001,56(4):447-455.
    郭旭东,邱扬,连纲等.基于“压力-状态-响应”框架的县级土地质量评价指标研究.地理科学,2005,25(5):579-583.
    国际全球环境变化人文因素计划中国国际委员会(CNC-IHDP).全球土地计划.http://www.ihdp-cnc.cn/4_GLP.htm,2009年2月.
    韩书成,谢永生,郝明德,等.不同类型农户土地投入行为差异研究.水土保持研究,2005,12(5):83-85,161.
    贺缠生,傅伯杰,陈利顶.非点源污染的管理及控制.环境科学,1998,19(5):87-91.
    何书金,李秀彬,朱会义,等.黄河三角洲土地持续利用优化分析.地理科学进展,2001,20(4):313-323.
    蒋洪波,陈超.基于RS与GIS技术的变更图斑自动识别方法研究.测绘科学,2008,33(3):71-73.
    焦加国,杨林章,武俊喜,等.不同区域的人口密集农村地区土壤有机碳的分布.生态学报,2007,27(5):1969-1977.
    康幕谊,江源,石瑞香.NECT样带1984—1996土地利用变化分析.地理科学,2000,20(2):115-120.
    冷疏影,李秀彬.土地质量指标体系国际研究的新进展.地理学报,1999,54(2):177-185.
    李秀彬.全球环境变化研究的核心领域—土地利用/土地覆被变化的国际研究动向.地理学报,1996,51(6):553-557.
    李秀彬.土地利用变化的解释.地理科学进展,2002,21(3):195-203.
    李小建,刘刚军,钱乐祥,等.中尺度流域土地利用/土地覆盖变化评估.地理科学,2001,21(4):289-296.
    李平,李秀彬,刘学军.我国现阶段土地利用变化驱动力的宏观分析.地理研究,2001,20(2):129-138.
    李晓文,方精云,朴世龙.近10年来长江下游土地利用变化及其生态环境效应.地理学报, 2003,58(5):659-667.
    黎夏.珠江三角洲发展走廊1988~1997年土地利用变化特征的空间分析.自然资源学报,2004,19(3):307-315.
    林海.全球变化研究的战略思考.地学前缘,1997,4(1):9-15.
    蔺卿,罗格平,陈曦.LUCC驱动力模型研究综述.地理科学进展,2005,24(5):79-87.
    刘纪远.中国资源环境遥感宏观调查与动态研究.北京:中国科学技术出版社,1996.
    刘纪远.国家资源环境遥感宏观调查与动态监测研究.遥感学报,1997,1(3): 225-230.
    刘纪远,王绍强,陈镜明,等.1990~2000中国土壤碳氮蓄积量与土地利用变化.地理学报,2004,59(4):483-496.
    刘国华,傅伯杰,方精云.中国森林碳库动态及其对全球碳平衡的贡献.生态学报,2000,20(5):733-740.
    刘新卫,陈百明,史学正.国内LUCC研究进展综述.土壤,2004,36(2):132-135.
    刘盛和,何书金.土地利用动态变化的空间分析测算模型.自然资源学报,2002,17(5):533-540.
    刘硕.国际土地利用与土地覆盖变化对生态环境影响的研究.世界林业研究,2002,15(6):38-44.
    刘彦随.山地土地类型的结构分析与优化利用——以陕西秦岭山地为例.地理学报,2001,56(4):426-436.
    刘彦随,陈百明.中国可持续发展问题与土地利用/覆被变化研究.地理研究, 2002, 21(3):324-330.
    刘湘南,许红梅,曹文.吉林省前郭县土地利用变化空间差异的机制分析.地理科学进展,2001,20(1):60-66.
    龙花楼,李秀彬.长江沿线样带土地利用格局及其影响因子分析.地理学报,2001,56(4): 417-425.
    龙花楼,李秀彬.区域土地利用转型分析——以长江沿线样带为例.自然资源学报,2002,17(2):144-149.
    罗格平,张百平.干旱区可持续土地利用模式分析.地理学报,2005,51(11): 1160-1168.
    罗平,杜清运,雷元新,等.城市土地利用演化CA模型的扩展研究.地理与地理信息科学,2004,20(4):48-51.
    骆剑承,周成虎,杨艳.遥感地学智能图解模型支持下的土地覆盖/土地利用分类.自然资源学报,2001,16(2):179-183.
    马爱功,王杰.干旱半干旱地区土地利用/覆被变化研究——以民勤绿洲为例.吉林师范大学学报(自然科学版),2008,29(3):81-84.
    孟县土壤普查办公室,新乡地区土壤普查办公室.孟县土壤.1985.
    孟州市科技局.孟州市新农村建设的现状与思考. http :/ / www.mzskj.net/index.asp,2009.
    苗长虹,钱乐祥,等.伊洛河流域土地利用和土地覆被变化与可持续发展研究.北京:中国环境科学出版社,2005.
    倪绍祥.土地利用/覆被变化研究的几个问题.自然资源学报,2005,20(6):932-936.
    倪绍祥.土地类型与土地评价概论.北京:高等教育出版社,1999.
    倪绍祥,刘彦随.区域土地资源优化配置及其可持续利用.农村生态环境, 1999,15(2):8-12.
    彭建,王仰麟,吴健生,李卫锋.我国土地持续利用研究进展.中国土地科学,2002,16(5):37-45.
    彭补拙,安旭东,等.长江三角洲土地资源可持续利用研究.自然资源学报,2002,16(4):305-312.
    秦丽杰,张郁,许红梅,等.土地利用变化的生态环境效应研究--以前郭县为例.地理科学,2002,22(4):508-513.
    秦明周,朱连奇,陈云增,单红霞.引用黄河泥沙对下游平原土地质量及其演变的影响.水土保持学报,2001,15(4):107-109.
    邵晓梅.区域土地利用变化及其对粮食生产影响分析以山东省为例.地理科学进展,2003,22(1):30-37.
    沈润平.土地利用遥感监测的关键技术及其应用研究——以江西鄱阳湖地区为例.中国优秀博硕士学位论文全文数据库(博士),2002.
    史培军,陈晋,潘耀忠.深圳市土地利用变化机制分析.地理学报,2000,55(2): 151-160.
    史培军,宫鹏,李晓兵,等.土地利用/土地覆被变化研究的方法与实践.北京:科学出版社,2000.
    史培军,宋长青,景贵飞.加强我国LUCC及其对生态环境安全影响的研究—从荷兰“全球变化开放科学会议”看人地系统动力学研究的发展趋势.地球科学进展,2002,17(2):161-168.
    术洪磊,毛赞猷.GIS辅助下的基于知识的遥感影像分类方法研究.测绘学报,1997,26(4):329-336.
    水利部小浪底水利枢纽建设管理局.温孟滩移民安置、河道整治及放淤改土项目简介.http :/ / www. xiaolangdi. com. cn/jgj/ yimj/ guih. Htm.2001.
    苏茂林,何平安.黄河温孟滩放淤改土施工技术简介.人民黄河,2003,25(1):28-30.
    孙丹峰,杨冀红,刘顺喜.高分辨率遥感卫星影像在土地利用分类及其变化监测的应用研究.农业工程学部,2002,18(2):160-164.
    孙敬水.我国生态农业的发展模式.经济研究参考,2002,(87):32-33.
    汤洁,毛子龙,王晨野,等.基于碳平衡的区域土地利用结构优化—以吉林省通榆县为例.资源科学,2009,31(1):130-135.
    王秀兰,包玉海.土地利用动态变化研究方法探讨.地理科学进展,1999,18(1):81-86.
    王耀南.小波神经网络的遥感图象分类.中国图象图形学报,1999,4(A)(5):368-371.
    王建国,杨林章,马毅杰.经济发达地区低山丘陵土地持续利用和优化利用研究——以苏州市旺山村为例.土壤,2002,34(4):179-184.
    王宏志,朱俊林.我国利用遥感数据提取土地利用现状信息的技术进展.国土资源遥感,2000,(3):1-6.
    王人潮,史舟,胡月明.浙江红壤资源信息系统的研制与应用.北京:中国农业出版社,1999.
    王效科,冯宗炜,欧阳志云.中国森林生态系统的植被碳储量和碳密度研究.应用生态学报,2001,12(1):13-16. 王艳芬,陈佐忠. Larry T.人类活动对锡林郭勒地区主要草原土壤有机碳分布的影响.植物生
    态学报,1998,22 (6):545-551.
    王春梅,刘艳红,邵彬,赵景刚.量化退耕还林后土壤碳变化.北京林业大学学报,2007, 29(3):113-119.
    王书华.土地综合承载力指标体系设计及评价.自然资源学报,2001,16(3):248-256.
    魏义长,刘作新,阎军营等.河南温孟滩移民安置区淤改土土壤肥力评价.土壤通报,2003,34(4):280-283.
    魏世清,宋福海.秸秆还田对土壤肥力和小麦玉米产量的影响.河南农业,2005,(8):37.
    吴健平,杨星卫.遥感数据监督分类中训练样本的纯化.国土资源遥感, 1996,26(1):36-41.
    吴连喜,严泰来,张玮.基于多层感知器神经网络对遥感融合图像和TM影像进行土地覆盖分类的研究.土壤通报,2001,32(S1):33-36.
    吴凯.环渤海区域水环境问题及其防治对策.地理科学,1997,17(3):231-236.
    吴传钧,郭焕成.中国土地利用.北京:科学出版社,1994.
    席会华,郝胜利,温素金.河南黄河滩区治理开发问题的分析与建议.广东水利水电,2007,(1):24-26.
    谢正宇,高丽君,谢正君.新疆土地生态环境问题与对策.干旱环境监测,2007,21(2):102-106.
    谢俊奇.可持续土地利用系统研究.中国土地科学,1999,13(4):35-38.
    解宪丽,孙波,周慧珍,李忠佩.不同植被下中国土壤有机碳的储量与影响因子.土壤学报,2004,41(5):687-699.
    信乃诠,赵聚宝.旱地农田水分状况与调控技术.北京:农业出版社,1992.
    熊惠波,侯会乔,江源,等.扎鲁特旗土地利用变化及其驱动力分析.农村生态环境,18(3): 5-10.
    徐勇,Roy C. Sidle.黄土丘陵区燕沟流域土地利用变化与优化调控.地理学报,2001,56(6):657-666.
    徐信良.中国森林生态系统植被碳储量时空动态变化研究.地理科学进展.2007,26(6):1-9.
    徐梦洁,彭补拙.长江三角洲地区耕地可持续利用评价.中国土地科学, 2001,15(4):11-15.
    徐建华.现代地理学中的数学方法(第二版).北京:高等教育出版社,2002.
    于兴修,杨桂山,欧维新.长江三角洲土地利用结构演化区域差异分析.农业系统科学与综合研究.2003,19(1):46-49.
    于兴修,杨桂山,王瑶.土地利用/覆被变化的环境效应研究进展与动向.地理科学,2004,24(5):627-633
    闫小培,毛蒋兴,普军.巨型城市区域土地利用变化的人文因素分析—以珠江三角洲地区为例.地理学报,2006,61(6): 55-65.
    延昊.深圳特区土地利用/土地覆被变化的驱动力分析及其影响评价的初步探讨[硕士学位论文].北京:北京师范大学,1997.
    杨述河,闫海利,郭丽英.北方农牧交错带土地利用变化及其生态环境效应——以陕北榆林市为例.地理科学进展,2004,23(6):49-55.
    尹国勋,许华,张友安,王宇.孟州地下水水质现状评价.环境科学与管理,2008,33(2):175-177.
    尹君,谢俊奇,王力,等.基于RS的城市土地集约利用评价方法研究.自然资源学报,2007,22(5):775-782.
    赵健,魏成阶,黄丽芳,等.土地利用动态变化的研究方法及其在海南岛的应用.地理研究, 2001, 20 (6) : 723 - 730.
    赵米金,徐涛.土地利用/土地覆被变化环境效应研究.水土保持研究,2005,12(1):43-46.
    赵小敏,陈文波编写.土地利用变化及其生态环境效应研究.地质出版社,2006.
    张海龙,蒋建军,吴宏安等.基于Landsat TM的西安地区土地利用与覆被变化.干旱区研究,2006,23(3):427-431.
    张成娥,陈小莉.子午岭林区不同环境土壤微生物生物量与肥力关系研究.生态学报,1998,18(2):18-222.
    张明.榆林地区土地利用与土地覆被变化研究[博士学位论文].北京:中国科学院,1998.
    张明.区域土地利用结构及其驱动因子的统计分析.自然资源学报,1999,14(4):381-384.
    张明.以土地利用/土地覆被变化为中心的土地科学研究进展.地理科学进展,2001,20(4):297-304.
    张惠远,赵昕奕,蔡运龙,等.喀斯特山区土地利用变化的人类驱动机制研究——以贵州省为例.地理研究,1999,18(2):136-142.
    张宏,孙保平.中国干旱、半干旱地区土地开垦对荒漠化的影响——以甘肃民勤县和内蒙古伊金霍洛旗为例.资源科学,1999,21(5):71-75.
    张炳智,张继贤.土地利用动态遥感监测中多源遥感影像融合方法比较研究.测绘科学,2000,25(3):46-50.
    张丽,彭子风,等.土地利用图件遥感快速更新方法的探索.测绘科学,2002,27(3):33-36.
    张全国,杨世关,刘圣勇等.孟州生态果园模式研究.中国沼气,2002,20(1):38-40.
    张凤荣.持续土地利用管理的理论与实践.北京:北京大学出版社,1996.
    张凤荣,等.中国土地资源及其可持续利用.北京:中国农业大学出版社,2000.
    张凤荣,王静,陈百明等.土地持续利用评价指标体系与方法.北京:中国农业出版社,2003.
    章孝灿等编著.遥感数字图像处理.杭州:浙江大学出版社, 1997.
    郑新奇.农业土地资源可持续利用水平评估研究.经济地理,2000,20(4):97-100.
    郑华玉,沈镭.城市土地集约利用评价研究——以发展中的深圳市为例.自然资源学报,2008,23(6):1009-1021.
    钟兆站,赵聚宝,郁小川等.中国北方主要旱地作物需水量的计算与分析.中国农业气象,2000,21(2):1-4.
    钟太洋,黄贤金.农户层面土地利用变化研究综述.自然资源学报,2007,22(3):341-352.
    周涛,史培军.土地利用变化对中国土壤碳储量变化的间接影响.地球科学进展,2006,21(2):138-143.
    周玉荣,于振良,赵士洞.我国主要森林生态系统碳储量和碳平衡.植物生态学报,2000,24(5):518-552.
    周海林.可持续发展评价指标及其确定方法的探讨.中国环境科学,1999,119(4):360-364.
    邹亚荣,张增祥,周全斌,等.中国农牧交错区土地利用变化空间格局与驱动力分析.自然资源学报,2003,18(2):222-227.
    邹滨,杨令宾,佟志军,等.半干旱环境下的土地利用/覆被时空变化研究——以吉林省通榆县为例.遥感技术与应用,2007,22(5):602-607.
    朱会义,李秀彬,何书金,等.环渤海地区土地利用的时空变化分析.地理学报,2001,56(3):253-260.
    朱红波.粮食安全的耕地资源保障措施研究.水土保持研究,2006,13(5):160-163.
    庄大方,刘纪远.中国土地利用程度的区域分异模型研究.自然资源学报,1997,12(2):105-110.

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