生态环境信息图谱—空间分析技术支持下的松嫩平原土地利用变化评价与优化研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
近半个世纪以来,松嫩平原的生态环境发生了显著的变化,土地盐碱化、沙化和草原退化等问题日益严重,制约了该区社会、经济和生态环境的协调发展。本文以可持续发展理论为指导,以遥感-地理信息系统技术为支撑,采用基于生态环境信息图谱、空间分析技术和元胞自动机等多种模型和方法进行了松嫩平原土地利用变化评价、预测与空间优化研究。以土地利用变化为研究的切入点,运用土地利用图谱模型对土地利用类型的数量变化、时空演变过程和空间转移规律进行了剖析;运用信息图谱方法,以盐碱化土地图形为核心,衍生图形的数量结构特征、时空分布特征、尺度特征以及景观特征图谱系列,开展土地盐碱化动态变化研究;从土地利用的系统结构、功能和效益出发,构建土地可持续利用评价指标体系,基于Geodatabase创建生态环境信息图谱指标数据库,采用层次分析-变权-物元分析(AHP-WC-ME)耦合模型进行综合评价;运用空间分析方法,以1km×1km的栅格尺度,采用空间相关函数筛选土地利用主要影响因子;运用空间主成分分析-元胞自动机-马尔科夫(SPCA-CA-Markov)耦合模型对松嫩平原土地利用格局空间变化趋势进行预测研究;基于Matlab平台将“自上而下”的灰色线性规划模型(GLP)和“自下而上”的元胞自动机模型结合,创建了松嫩平原土地利用格局空间优化模型,对松嫩平原土地利用格局进行空间优化研究,为松嫩平原土地资源的合理开发利用和区域经济的可持续发展提供参考。本文综合运用多种新技术和新方法从土地利用变化对生态环境影响的角度出发,系统开展土地利用格局变化、土地可持续利用评价、变化趋势预测和空间优化系列集成研究,从深度和广度上揭示了松嫩平原生态环境演变的规律和特征,为区域生态环境系统研究探索了一条新路,研究成果可为松嫩平原生态环境保护与重建、资源可持续利用决策提供科学依据。
Along with the development of social economy, the addition of people and the advancement of science and technology, Mankind has been impacting on the environment at an unprecedented scale and intensity, land use patterns were constantly changing, the framework and function of land-use pattern had been destroyed, the ecological environment worsen continuously, and there are the greatly negative influence on the development of social and economy. The ecological environment deteriorated due to the dry warm unusual climate, excessive land reclamation, excessive herding and other human intense economic activity. The problems, which are the destruction of ecosystems, land degradation, desertification and grassland degradation,became more serious. Regional ecological security was threatened seriously, which constrains the coordinated development among social, economic and ecological environmental. It is urgent to carry on multi-area and multi-level research on eco-environment in Songnen plain.
     The space-time feature of the ecological environment was subject for study in Songnen Plain. Using many various theories and methods ,such as geographic information atlas theory, LUCC theory,sustainable development theoryand landscape ecology ,based on 3S technology, the information on the ecological environment and other socio-economic information were processed. Land use and landscape will joint, the mathematical model combining atlas model, the land-use change information atlas , land resource sustainable utilization evaluation information atlas and land use change prediction information atlas were established. It revealed the regional ecological environment and the elements of space and time changes of the structure using the computing atlas model. Land use pattern space optimization information atlas was developed combined with GLP and CA to optimize the land use structure ,the research results may achieve the aim of resuming and improving the functions of ecosystem and promoting social economy harmonized development, and explore a new road for landscape ecology service in the regional sustainable development. This paper has important theoretical meaning and practical value in studying sustainable development problem from the angle of landscape ecology.
     Land use/land cover is the most prominent visual symbol of earth surface system, which represents the natural environment evolution and reflects the impact of human activities on the ecological environment. The dynamic change of the land-use situation was as the study base of the ecological environment changes. In this paper,the dynamic changes of the land-use was taking as the basis of studying changes of the ecological environment.By using TM / ETM remote sensing images, the land use map of 1989, 2000 and 2004 in Songnen Plain were obtained supported with RS-GIS integration technology. According to the main eco-environmental problems in Songnen plain, taking land use as the entrance point for studying, by finding out the characteristics and rules of the spatial-tempral change of land use from 1989 to 2004, the influence was discussed. The study indicated that the land use of Songnen plain changed obviously, which can be described as the phenomenon of five increasing and three decreasing.That is, increasing of tillage (paddy field and dry land), woodland, urban land, sandlot and decreasing of grassland, wetland and water area. The rapid increase of saline-alkali land,the overall decline of the quantity and quality of grassland resources as well as the atrophy of wetlands and waters become a outstanding performance of the ecological environment deterioration in Songnen Plain.
     Transform the traditional spatial pattern of land use change study, most of which limited on the types of land-use conversion and changes in land quality, as well as statistical analysis of spatial pattern on the static interpretation. Eco-environment information atlas-spatial analysis technique are introduced to LUCC study and put forward land use/land cover models based on atlas unit, which is integrated by "Time·Spatial·Attribute·Process", and composed by relatively homogeneous geographic unit and temporal unit. Based on the three interpreted land-use data, the patterns of land use change map information wassynthesized and sum up Land-use change model as“stable”,“pre-change-type”,“post-change-type”,“repeatedly change”and“constantly changing type”five types. Space information, statistical analysis and mapping unit were combined, to analysis the land-use change laws in different timing modules and different time scales one by one. In 1989 ~ 2000 ~ 2004 mutative atlas,stable map unit“dry-land→dry-land→dry-land”hold a larger proportion to illustrate that is the advantage category. In the type of constantly changing patterns,“the high grass→the middle grass→saline-alkali land”,“the middle grass→the low grass→saline-alkali land”,“the middle grass→the low grass→glebe”and“the high grass→the middle grass→the low grass”change illustrate that the grass degradation was the major way of Songnen Plain land degradation. Based on the land use changes atlas the thesis reconstructs the atlas units on remap tables by reclassifying data, extracts "Arising" atlas and "Falling" atlas,the degradation of eco-environment in Songnen Plain was descripted,such as land salinization , desertification, grassland degradation, and wetland degradation and shrinkage of the water.
     Land salinization is the most prominent eco-environmental problems in Songnen Plain. Understand spatial distribution laws of land salinization and master the development trends of it is an important aspect to study the change of ecological environment in Songnen Plain. Information atlas model provide a method which combines atlas, quantitative and location to study land salinization.Tthis paper used ERDAS to choose typical terrain feature training area in TM image, build identifiable models of saline-alkali land, found saline-alkali land space-time dynamic changes graphics information database combination with vector data model and raster data model.Generalized analysis the changes of saline-alkali land in Songnen Plain in three periods by unifies saline-alkali land’s basic pattern of space-time evolution,the space expansion form and change characteristic in landscape index, discusses the multi-dimensional and complexity of regional salinization process, in order to reveal the inherent law and development trends of salinization process. The area of saline-alkali land in Songnen Plain showed an upward trend in study period, increasing saline-alkali land mainly comes from the degradation of grasslands and dry farmland as well as the atrophy of water and wetland. The inter-annual change characteristic of saline-alkali mottling's landscape index shows that with the gradual increase in saline-alkali mottling's LPI and ED,previously broken saline-alkali mottling develop into larger ones, the exchange degree of the material and energy between mottling and the outside world strengthens gradually, and the mottling interior stabilizes step by step. PAFD decreased on strongly as a result of human development, saline-alkali mottling expansion, tends to simplify the shape of its borders.Taking the location of focus of the saline-alkali land–Dana city carried out space expansion process analysis. Achieve dynamic and atlas of research on salinization process from the mottling shape, the spatial expansion intensity and the spatial expansion pattern,by using related concept and method in space pattern research and establishing mathematical model and the spatial analysis model,which combination with Micro-level graphics information,Macro-level graphics information and regional ecological processes.
     The land resource sustainable utilization is the basis of human society and economic sustained development, it is very important for the sustainability quantitative evaluation of the natural productive capacity of land , land ecological environment and the related social economy environment to carry out the land resource sustainable utilization evaluation.The structure, function and efficiency of land-use system reflect itself-regulating capacity and capacity to deliver services for humanbeing together.This article build a evaluation index system of sustainable land-use in Songnen Plain from the structure, functions and benefits of land system,which including 27 indicators from target layer,criteria layer,level indicators and elements layer. In support of GIS, the study divided the study area into 94 071 1km×1km evaluation unit, integrate non-spatial data and spatial data effectively by using spatial analysis technology. Establish ecological environmental information indicators database based on Geodatabase. Divide the results into strong-sustainable level, general-sustainable level,critical-sustainable level,non-sustainable level and extremely non-sustainable level by using AHP-WC-ME coupling evaluation model. In support of ArcGIS, complete space expression of sustainable land-use comprehensive information atlas in Songnen Plain through MATLAB programming operations.The evaluation results shows that the degree of sustainable land-use in Songnen Plain is change from critical-sustainable level to non-sustainable level. Critical-sustainable level is account for 34.94% of general area, non-sustainable level and extremely non-sustainable level are account for 34.14% of general area.If don’t adopt a rational feasible land utilization scheme, sustainable land-use in Songnen plain will continue coming down,which lead to outstanding ecological environment problem and restrict regional development seriously. On spatial distribution,north is better than south in sustainable land-use, non-sustainable level and extremely non-sustainable level cities are located in the central of the plain precisely, northeast - southwest direction.Because the region is the subsidence core region of Songnen Plain and also a high incidence of desertification, so the ecological environment quality is bad.This study lay the foundation for clearing the degree of sustainable land-use and carrying out space optimization of land-use pattern in Songnen Plain.
     This paper used traditional statistics to study on the relation of land use pattern and influence factor in the past, but these methods didn’t take accout of spatial statistics pertinency that lead to useful information lost, and couldn’t reflect spatial distribution discipline. This paper starts from area ecoregion, selects relatively simply, easier to quantificated natural environment factor and society-economy factor as influence factor of land use changes, filter main influence factors of all kinds of land types by spatial pertinency function. Using spatial principal constituent analysis to get weighings of the influence factors, relying on IDRISI to found spatial distribution atlas of the land type suitibity as CA transformation rule parameter, and using CA-Markov model to carry out dynamic simulation of spatial land use pattern of Songnen Plain’s land use, then predicting land use spatial pattern in 2019. The results show that saline-alkali land areas of Songnen Plain will reach 154.78 104hm2, lawn will reduce to 107.06 104 hm2 in 2019, saline-alkali land areas will increase by 20.05%, lawn will decrease by 25.29%。Land use type changes of the whole district will keep in steps with the change trend. Tongyu, Da’an, Changling, qian’an in the south of the plain and Tailai, Dumeng, Daqing and Anda in the north of the plain, these areas’lawn have degenerated seriously. The increase of salt lick is mainly on the basis of original areas in 2019, occupation of grasslands, waters and wetlands, mainly in the low-lying areas in the centre of study area. The salt lick of Da’an, Tongyu, Changling and Qian’an will link up into a single stretch, swallow large areas of lawn. According to the present development trend, the ecological environment of the area will go to the extreme deterioration and seriously constrain local social economic development.
     The spatial optimization of land use patterns will be helpful to adjust land struction reasonablely, increase the stability of land use patterns, improve the function of damaged ecosystems, supply protection for the sustainable use of land resources. According to characteristics of the ecological environment of Songnen Plain, considering the natural and social factors influences on land use pattern, we carry out the objective of the Songnen Plain spatial pattern of land use optimization for the sustainable use of land resource and area. Using“up-down”gray linear programming model (GLP) to build the objective function and constains, by the supporting of LINGO6.0, to determine the optimal land use types. Under the control of GLP macro methods, making full use of powerful GIS spatial data acquisition and processing capabilities, combined with the advantage of cellular automata spatial pattern of land use, considering the effectiveness of land use optimization, the number of optimization and space optimization, based on the integrated development of Matlab7.2, this paper develop GLP-CA-LUOM model to achieve the optimization control of the quantity and spatial location. The results show waters, woodland and grassland area increase by 35.21 104hm2,12.30 104hm2 and 37.30 104hm2, dry land decreases by 83.20 104hm2, agriculture, forestry, husbandry are adjusted to 0.64:0.08:0.28 from the original 0.72:0.06:0.22 ratio.The forestry, animal husbandry and land use changes are in accord with national policies of forests, grassland, and are basically with area development policy, plannings and government expects. This optimization program can serve as reference for promoting regional agriculture and animal husbandry development. GLP-CA-LUOM model takes account of the suitability of land use, spatial compatibility and coordination of land use, the ratio of the amount of land, policy and regional development planning, to spatial pattern of land use impact, given full consideration to land use optimize the benefits of optimization, the number of space optimization and optimization of land use in line with the principle of optimizing, which is operational. This model achieves by Matlab 7.2, model’s design and operation have a high degree of freedom, flexibility and portability, and is easy to extrapolate at the same time.
     The features and innovations of the thesis were that the eco-environmental changes were carried on by using eco-environment information atlas-spatial analysis technique. The eco-environment study breadth and depth were expanded. This is an attempt and exploration for study on regional eco-environment, which has some certain theoretical significance and applied reference value. In addition, the author integrated many math model and spatial analysis model,and used the AHP-WC-ME model to carry land resource sustainable utilization evaluation based raster data.All this enriched the sustainable utilization methods. The affected factors of landscape spatial pattern are filtrate by the methods of spatial correlation,using the multiplicity SPCA-CA-Markov model forecasted the landuse pattern. Using“up to down”GLP and“dowm to up”CA,the author developed the landuse pattern spatial optimization model (GLP-CA-LUOM) based on the Matlab 7.2, which had been used to optimize the landuse spatial pattern in Songnen Plain. he successive study on the changes , trend prediction and optimization of landuse pattern have provided a new research ideas and theoretical support on sustainable utilization of soil resource, and is an exploring scientific practice.
引文
[1]李秀彬.全球环境变化研究的核心领域—土地利用/覆盖变化的国际研究动向[J].地理学报,1996,51(6):553-557.
    [2]摆万奇,柏书琴.土地利用和覆盖变化在全球变化研究中的地位与作用[J].地域研究与开发,1999,18(4):13-16.
    [3] LambinE. F., Baulies X., Bockstael N., et al. Land use and land cover change implementation strategy[R].IGBP Report No.48/IHDP Report No.10,1999.
    [4] IGBP, IHDP, WCRP.Abstraets of Global Change Open Seienee Conference[C]. Congrex Holland BV, Amsterdam, the Netherlands, 2001, 10-13.
    [5] NASA. Modeling land use and land cover changes in Europe and Northern Asia [R].NASA, 1999, Research Plan.USA: Houston.
    [6]陈述彭.地学信息图谱刍议[J].地理研究,1998,(17):5-9.
    [7]周成虎,孙战利,谢一春.地理元胞自动机研究[M].北京:科学出版社,1999.
    [8]张显峰,崔伟宏.基于GIS和CA模型的时空建模方法研究[J].中国图像图形学报,2000,5(12):1012-1018.
    [9]张殿发,林年丰.松嫩平原生态地质环境变迁构造-气候旋回机制探讨[J].世界地质,2000,19(1):73-77.
    [10]林年丰,汤洁.松嫩平原环境演变与土地盐碱化、荒漠化的成因分析[J].第四纪研究,2005,25(4):47
    [11]林年丰,汤洁,卞建民,等.东北平原第四纪环境演化与荒漠化问题[J].第四纪研究,1999,5:448-455
    [12]张殿发,林年丰.松嫩平原第四纪以来生态环境演化的影响因素[J].吉林地质,2000,19(1):24-29
    [13]林年丰,汤洁,斯蔼,等.松嫩平原荒漠化的EOS-MODIS数据研究[J].第四纪研究,2006,26(2):265-273
    [14]叶庆华.黄河三角洲土地利用/土地覆被变化的时空复合分析[D].中国科学院,2001.
    [15] Turner II BL, David Skole, Steven Sanderson.Land use and land cover change: Science / Research planning [R].IGBP Reports No, 35, Stockholm, 1995.
    [16] NASA. Modeling land use and land cover changes in Europe and Northern Asia [R].NASA, 1999, Research Plan.USA: Houston.
    [17] Tumer I B L,Meywr W B,Skole D.Global land use / land cover change: Towards an integrated program of study[J].AMBIO,1994b,23 (l): 91-95.
    [18]陈燕,齐清文,杨桂山.地学信息图谱的基础理论探讨[J].地理科学,2006,26(3):306-310.
    [19]陈述彭.地图科学的几点前瞻性思考[J].测绘科学,2001,26(1):1-7.
    [20]齐清文.地学信息图谱的最新进展[J].测绘科学,2004,29(6):15-23.
    [21]承继成,李琦.关于我国“数字地球”研究框架的建议[J].地球信息,1998(3):1-2.
    [22]陈述彭,鲁学军,周成虎,地理信息系统导论[M].北京:科学出版社,1999.
    [23]陈述彭,岳天祥,全球环境变化的系统研究方法浅议[J].自然资源学报,2001,16(1):3-8.
    [24]陈述彭,太湖东西洞庭山的景观制图实验,北京:科学出版社,1957.
    [25]陈述彭,大比例尺景观制图方法及其实验(景观制图研究专辑),北京:科学出版社,1958.
    [26]陈述彭,关于农田样板地图性质与内容的若干问题,中国科学院地理研究所,农田样板地图的编制,北京:科学出版社,1964,76-80.
    [27]陈述彭.地学信息图谱探索研究[M].北京:商务印书馆,2001.
    [28]廖克,秦建新,张青年.地球信息图谱与数字地球[J].地理研究,2001,20(1):55-61.
    [29]周成虎,李宝林.地球空间信息图谱初步探讨[J].地理研究,1998(增刊):10-16.
    [30]齐清文,池天河.地学信息图谱的理论和方法[J].地理学报,2001,56(增刊):8-18.
    [31]鲁学军,承继成.地理学认识内涵分析[J].地理学报,(2):1998.
    [32]廖克.地学信息图谱的探讨与展望[J].地球信息科学2002,4 (1): 14-20.
    [33]陈毓芬,廖克.中国自然景观综合信息图谱研究[J].地球信息科学,2003,3:97-102.
    [34]陈述彭,岳天祥,励惠国.地学信息图谱研究及应用[J].地理研究,2000,19(4):337-341.
    [35]陈述彭.历史轨迹与知识创新[J].地理学报,2001,56(增刊):1-7.
    [36]田永中,岳天祥.地学信息图谱的研究及其模型应用探讨.地球信息科学[J].2003,3(9):103- 106.
    [37]廖克.中国自然景观综合信息图谱的建立原则与方法[J].地理学报,2001,56(增刊):19-25.
    [38]陈燕,齐清文,杨桂山.地学信息图谱时空维的诠释与应用[J].地球科学进展,2006,21(1):10-13.
    [39]陈毓芬,廖克.中国自然景观综合信息图谱界线的确定与指标体系.地理学报,2001 ,56 (增刊): 26-31.
    [40]陈燕.地学信息图谱的理论方法与区域实践[D].中国科学院博士学位论文,2004:5-8.
    [41]张百平.数字山地垂直带谱及其体系的探索研究[J].山地学报,2002,24(2):144-149.
    [42]孙然好,张百平,肖飞,等.山地垂直带谱的数字识别方法探讨[J].遥感学报,2008,(2):242-246
    [43]李军.地面滑坡信息图谱的浅析[J].地球信息科学,2001,3:64-71.
    [44]叶庆华,刘高焕,陆洲等.基于GIS的时空复合体——土地利用变化图谱模型研究方法[J].地理科学进展,2002,21(4):349-357.
    [45]叶庆华,刘高焕,Macro.黄河三角洲东营市土地利用“涨势图谱”的时空特征分析[J].地球信息科学,2003,(3):107-111.
    [46]叶庆华,陈沈良.近现代黄河尾闾摆动及其亚三角洲体发育的景观信息图谱特征[J].中国科学D辑:(地球科学),2007,(6):115-121.
    [47]李小英,彭望王录,曹彤.土地利用演化信息图谱的研究——以北京市顺义县为例[J].地球信息科学,2002(2):55-60.
    [48]唐中实,李小乙.澳门城市遥感信息图谱[J].地理学报2001,56 (增刊): 38-42.
    [49]周俊,徐建刚.小城镇信息图谱初探[J].地理科学,2002,22(3):324-330.
    [50]周江评,崔功豪,张京详等.城镇交通网络信息图谱研究刍议[J].地理研究,2001,20(4):397-406.
    [51]黄家柱.长江下游河道演变图谱研究[J].地理学与国土研究,1999,15(4):92-95.
    [52]沙晋明,郑达贤,林志垒等.水土流失地球信息图谱表示方法的研究[J].水土保持研究,2002, 9(1):116-120.
    [53]何月,王明常,邢立新等.松嫩平原西南部水域信息图谱分析[J].地球信息科学,2007,9(4): 29-33.
    [54]宋立松,王新,向卫华.杭州湾滩涂资源遥感动态监测分析[J].浙江水利科技, 2007, 01.
    [55]丁娟.地学信息图谱在南屯矿区生态环境研究中的应用[D].山东师范大学,2008.
    [56]张国坤.新开河流域景观格局动态变化及图谱分析[D].东北师范大学,2008.
    [57]陈媛媛,翟亮.基于三维动态可视化技术的生态环境地学信息图谱研究[J].测绘科学,2007,(2).
    [58]鲍文东,侯志华,吴泉源.基于地学信息图谱的土地利用动态变化研究——以山东省龙口市为例[J].地域研究与开发,2007,(3).
    [59]臧淑英,计爽,李雁,冯仲科.资源型城市土地利用/土地覆被变化过程的图谱研究[J].北京林业大学学报,2007,(S2).
    [60]曾晖,胡振琪,谢宏全.基于多时相遥感的煤矿区LUCC信息图谱[J].辽宁工程技术大学学报,2007,(4).
    [61]王明常.景观格局过程信息图谱测度分析及其特征反演[D].吉林大学,2008.
    [62]唐文雅.自然地理区界的模糊性,可变性及其聚类判定[J].华中师范大学学报, 1987,21(1): 110-116.
    [63]潘耀忠,史培军.区域自然灾害系统基本单元研究——Ⅰ:理论部分[J].自然灾害学报, 1997,6(4): 1-9.
    [64]黄秉维.中国气候区划与自然地理区划的回顾与展望[M].地理集刊.北京:科学出版社, 1990.
    [65]李军.地球空间数据集成研究概况[J].地理科学进展, 2000,19(3).
    [66]廖克,陈文惠,陈毓芬.生态环境综合信息图谱的初步研究—以福建省为例[J].测绘科学,2005,30(6):21-25.
    [67]陈菁.福建省生态环境综合信息图谱探讨[J].莆田学院学报,2004,11(3):91-99.
    [68]陈菁.生态环境综合信息图谱的研究[D].福建师范大学:,2006.
    [69]武国胜.福建省生态环境时空格局信息图谱研究[D].福建师范大学,2006.
    [70]石建平.复合生态系统良性循环及其调控机制研究[D].福建师范大学,2005.
    [71]余明,廖克.福建生态环境信息图谱数据库系统设计与实现[J].地球信息科学,2005,(4).
    [72]田静毅.秦皇岛市生态环境信息图谱模型及生态安全研究[D].吉林大学,2007.
    [73] OECD.Towards sustainable development: environmental indicators[M].Paris, 2001.
    [74] WCED, Our common future, World commission on Environment and Development[M].Oxford University Press,1987.
    [75]吴孟铎.区域可持续发展理论和评价方法及其应用研究[D].天津大学博士学位论文,2002.
    [76]牛文元.持续发展导论[M].科学出版社,2001.
    [77]潘玉君,武有德,邹平等.可持续发展原理[M].中国社会科学出版社,2005.
    [78] FAO.FESLM An International Framework Eva1uating Sustainable and Management [A] In: World Soil Resources Report 73 [C].FAO.1993.
    [79]魏杰.土地资源可持续利用:另一种审视[J].中国土地,1996,(2):29-31.
    [80]周诚.土地经济研究[M].北京:中国大地出版社,1996:232-236.
    [81]谢经荣,林培.论土地持续利用[J].中国人口·资源与环境,1996,6(4):13-17.
    [82]傅伯杰.土地可持续利用评价的指标体系与方法[J].自然资源学报,1997,12(2):112-118.
    [83]汪卫民,吕永龙.土地资源永续利用的生态经济对策[J].农村生态环境,1998,14(1):43-47.
    [84]陈美球,刘桃菊.加强对土地资源可持续利用的认识[J].中国人口·资源与环境,1999,9(2):82-84.
    [85]陈江龙,谭仲春.土地可持续利用与区域可持续发展[J].山东农业大学学报〔社会科学版〕,2001:3(4),6-9.
    [86] Blume H P, et al.Towards sustainable land use [J].Geoderma, 2000,96(1-2): 155-157.
    [87] Dumanski J, Smyth A.The issues and challenges of sustainable land management [A].International Workshop on Sustainable Land Management for the 21st Century [C].Canada: University of Lethbridge, Alberta, 1993.
    [88] Helmut E, et al.Taking action for sustainable land use: results from 9th ISCO conference in Bonn Germany [J].AMBIO, 1996,25 (6): 480-483.
    [89] Smyth A, Dumanski J.FESLM: An international framework for evaluating sustainable land management [J].World Soil Resources Reports, 1993, 73:1-56.
    [90] ACIAR/IBSRM.Proceedings of the InternationalWorkshop on Evaluation for Sustainable land Management In the Developing World.TechnicalPapers, vol.2.Chiang Rai, Tailand, 1991.
    [91]曲福田.可持续发展的理论与政策选择[M].北京:中国经济出版社,2000.
    [92] Dumanski J, et al.Criteria for an international framework for evaluating sustainable land management[A].International Workshop on Evaluation for Sustainable Development in the Developing World [C]. Bangkok.IBSRAM Proceedings 12, Vol.2, Chiang Rai, Thailand: 1991.
    [93] UNDP.Indicators of Sustainable Development Framework and Methodologies [M].New York: New York Press, 1996.
    [94] ISSS/ITC.Sustainable Land Management & Geo-information (abstract) [Z].ITC.Enschede, Netherlands, 1997.
    [95] FAO.Land qualitity indicators and theiruse in sustainable agriculture and rural development.FAO Land and Water Bulletin 5. Rome, 1998.
    [96] International Workshop on Evaluation for Sustainable Development in the Developing World [C].Bangkok. IBSRAM Proceedings 12, Vol. 2, Chiang Rai, Thailand: 1991.
    [97]中国自然资源丛书编撰委员会,中国自然资源丛书“土地卷”[M].北京:中国环境科学出版社,1996.
    [98]吴传钧,郭焕成.中国土地利用[M].北京:科学出版社,1994.
    [99]曲福田.可持续发展的衡量与评价[J].中国人口·资源与环境,1997,7(I):50-53.
    [100]谭淑豪,曲福田,谭仲春.经济发达地区土地可持续利用主要矛盾及其成因分析[J].中国人口·资源与环境,2001,(11)4:78-82.
    [101]张凤荣,等.中国土地资源及其可持续利用[M].北京:中国农业大学出版社,2000.
    [102]张凤荣,王静,陈百明.土地资源持续利用评价指标体系与方法[M].北京:中国农业出版社,2003.
    [103]李双成,蔡运龙,基于能值分析的土地可持续利用态势研究[J],经济地理,2002,22(3):346-350.
    [104]刘光成,董捷,田心尉.土地可持续利用评价初探[J].中国农业资源与区划.2002,(23)2:23-26.
    [105]黄杏元,汤勤.地理信息系统概论[M].北京:高等教育出版社.1990
    [106]王周龙,冯学智,刘晓枚,等.基于遥感和GIS的土地可持续利用研究[J].遥感信息,2002,(4):27-30.
    [107]张秋琴,周宝同.区域土地可持续利用景观生态评价研究[J].中国生态农业学报,2008,(3):741-746.
    [108]张富学.基于生态足迹与GIS的定西市土地可持续利用研究[J].国土与自然资源研究,2008,(1):42-43.
    [109]黎景良,后斌.基于栅格空间数据的粤北山区土地可持续利用评价[J].测绘通报,2008,(1):40-43.
    [110]王秀兰,包玉海.土地利用动态变化研究方法探讨[J].地理科学进展,1999,18(1):81-87.
    [111]陈佑启,杨鹏.国际上土地利用/土地覆盖变化研究的新进展[J].经济地理,2001,21(1):95-100.
    [112]张殿发,林年丰.松嫩平原第四纪以来生态环境演化的影响因素[J].吉林地质,2000,19(1):24-29.
    [113]王素敏,翟辉琴.遥感技术在我国土地利用/覆盖变化中的应用[J].地理空间信息,2004,2(2):31-38.
    [114]张庆河.土地利用动态遥感监测技术研究[D].中南大学,2008.
    [115]冯海霞,冯仲科,高守英等.基于RS和GIS技术的济南市土地利用变化动态监测研究[J].北京林业大学学报,2007,(S2):185-189.
    [116]甘甫平,王润生.高光谱遥感技术在地质领域中的应用[J].国土资源遥感,2007,(4).57-60.
    [117]王先华,王乐意,乔延利.遥感中的高光谱技术及应用[J].光电子技术与信息,2001,(6):7-14.
    [118]张立朝,孙婷,唐汉松.基于高光谱影像数据库的地理目标识别[J].海洋测绘,2007,(1): 51-54.
    [119] Loveland T R,Reed B C.Development of a global and cover characteristics database and IGBP DISCover from 1km AVHRR data[J].International Journal of Remote Sensing,1998,64 (4): 35-42.
    [120] Otsubo K.Towards land use for global environmental conservation (LU/GEC) project.In: proceedings of the workshop on land use for global environmental conservation.Tsukuba, Japan, 1994.
    [121] S Hoshino.Statistical Analysis of Land-use Change and Driving Forces in Kansai District, Japan.WP -96 .120, IIASA, 1996: l-40.
    [122] S Hoshino.Analysis on factors of land-use change in Japan.Land Use for Global Environmental Conservation (LU / GEC )-Final Report of the LU / GEC First Phase (1 995 - 1997) ,National Institute of Environmental studies (NIES) ,1999 ,143 -154 .
    [123] Turner II BL,David Skole,Steven Sanderson.Land use and land cover change: Science / Research planning [R].IGBP Reports No,35,Stockholm,1995.
    [124]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.
    [125]丁建丽.绿洲-荒漠交错带土地利用/覆盖时空变化研究[J].环境科学研究,2006,19(6):100-105.
    [126]巴雅尔等.内蒙古蒙中经济区大城市边缘带LUCC时空过程分析[J].经济地理,2006,26(l):88-91.
    [127]摆万奇,赵士洞.土地利用变化驱动力系统分析[J].资源科学,2001,23(3):39-41.
    [128]谭少华,倪绍祥.区域土地利用变化驱动力的成因分析[J].地理与地理信息科学,2005,21(3):47-50.
    [129]江晓波,马泽忠,曾文蓉,等.三峡地区土地利用/土地覆被变化及其驱动力分析[J].水土保持学报,2004,18(4):105-212.
    [130]吴世新,周可法,刘朝霞等.新疆地区近10年来土地利用变化时空特征与动因分析[J].干旱区地理,2005,28(1):52-58.
    [131]张明.区域土地利用结构及其驱动因子的统计分析[J].自然资源学报,1999,4(4):381-384.
    [132]史培军,陈晋,潘耀忠.深圳市土地利用变化机制分析[J].地理学报,2000,55(2):151-160.
    [133]徐勇,马国霞,沈洪泉.北京丰台区土地利用变化及其经济驱动力分析[J].地理研究,2005,24(6):860-868.
    [134]祁元,王一谋,王建华,等.宁夏土地利用时空变化及其驱动机制[J].冰川冻土,2005,27(6):899-906.
    [135]张勃,毛彦成,柳景峰.黑河中游土地利用/覆盖变化驱动力的定量分析[J].干旱区地理,2006,29(5):726-730.
    [136]孔祥丽,王克林,陈洪松等.广西河池地区土地利用变化与社会经济发展水平关系的典范对应分析[J].自然资源学报,2007,22(l):131-140.
    [137]王晨野,汤洁,李昭阳等.吉林西部土地利用/覆被时空变化驱动力分析[J].生态环境,2008,17(5): 1914-1920.
    [138]傅伯杰,邱扬,王军等.黄土丘陵小流域土地利用变化对水土流失的影响[J].地理学报,2002,57(6):717-722.
    [139]朱连奇,许叔明,陈沛云.山区土地利用/覆被变化对土壤侵蚀的影响[J].地理研究,2003,22(4):432-43.
    [140]冉圣宏,李秀彬,吕昌河.近20年渔子溪流域土地利用变化的环境影响[J].环境科学学报,2006,26(12):2058-2064.
    [141]黄青,孙洪波,王让会等.干旱区典型山地-绿洲-荒漠系统中绿洲土地利用/覆盖变化对生态系统服务价值的影响[J].中国沙漠,2007,27(1):76-81.
    [142]张银辉,罗毅,刘纪远等.内蒙古河套灌区土地利用变化及其景观生态效应[J].资源科学,2005,27(2):141-146.
    [143]邹秀萍,齐清文,徐增让等.怒江流域土地利用/覆被变化及其景观生态效应分析[J].水土保持学报,2005,19(s):147-15.
    [144]朱会义,何书金,张明.关于区域土地利用变化指数模型方法的讨论[J].地理学报,2003,58(5):643-650.
    [145]赵庚星,李强,李玉环等.GIS支持下的马尔柯夫链模型模拟垦利县土地利用空间格局变化[J].山东农业大学学报,1999,30(4):345-349.
    [146]龙花楼,李秀彬.长江沿线样带土地利用变化时空模拟及其对策[J].地理研究,2001,20(6):660-668.
    [147]肖平,李德仁.基于人工神经元网络技术的土地利用覆盖变化探测[J].武汉大学学报(信息科学版),2002,27(6):586-590.
    [148]张永民,赵士洞,P.H.Verburg.CLUE-S模型及其在奈曼旗土地利用时空动态变化模拟中的应用[J].自然资源学报,2003,18(3):310-318.
    [149]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[J].地理与地理信息科学,2004,20(4):48-51.
    [150]熊利亚,常斌,周相广.基于地理元胞自动机的土地利用变化研究[J].资源科学,2005,27(4):38-43.
    [151]黎夏,叶嘉安.基于神经网络的单元自动机CA及真实和优化的城市模拟[J].地理学报,2002,57(2):159-166.
    [152]黎夏,叶嘉安.基于神经网络的元胞自动机及模拟复杂土地利用系统[J].地理研究,2005,24(1):19-27.
    [153]何春阳,史培军,陈晋等.基于系统动力学模型和元胞自动机模型的土地利用情景模型研究[J].中国科学D辑,2005,35(5):464-473.
    [154] David Rhind and RayIIudson.Land Use[M].London:1980:3-11.
    [155]严金明.简论土地利用结构优化与模型设计[J].中国土地科学,2002,16(4):20-25.
    [156]李超.农村交错区不同土地利用方式下土地利用结构优化配置研究-以伊金霍洛旗为例[D].北京:中国农业大学,2003.
    [157]邬建国.景观生态学—格局,过程,尺度与等级[M].北京:高等教育出版社,2000.
    [158]肖笃宁.景观生态学理论·方法及应用[M].北京:中国林业出版社,1991: 13-25.
    [159] Levin S. A.The problem of pattern and scale in ecology.Ecology,1992,73:1943-1967.
    [160]肖笃宁,李秀珍.景观生态学的学科前沿与发展战略[M].生态学报.2003,23(8):1615-1621
    [161] Turner M.G.,Rucher C.Changes in Landscape patterns in Georgia,USA.Landscape Ecology.SPB.Academic publishing.The Hague.1988,1(4):241-251.
    [162] Turner M.G.,Gardner R.H.,1990,Quantitative Methods in Landscape Ecology: The analysis and Interpretation of Landscape Heterogeneity[M].Snrinoer-Verlag.New York.
    [163]肖笃宁.景观生态学[M].北京:科学出版社,2006
    [164]傅伯杰,陈利顶,马克明,等.景观生态学原理及应用[M].北京:科学出版社,2001.
    [165] Forman R T T.Land Mosaics:the Ecology of Landscape and Regions.Cambridge:Cambridge University Press.1986
    [166] Ruzicka M.and Maklos L.Methodology of ecological landscape evaluation for optimal development of territory. In sym of 1st International congress of Landscape Ecology,Wagnignen,Netherland,1981.
    [167] Zanneveld IS.,Forman R T T.Changing Landscape,An Ecological Perspective.New York: Springer-Verleg.1990
    [168]肖笃宁,赵羿,孙中伟,等.沈阳西郊景观结构变化的研究[J].应用生态学报,1990,1(1):75-84.
    [169]肖笃宁,孙中伟.城市景观空间格局变化的研究方法及实例[J].城市环境与城市生态,1990,3(1):12-16.
    [170]徐岚,赵羿.利用马尔柯夫过程预测东陵区土地利用格局的变化[J].应用生态学报,1993,4(3):272-277.
    [171]谢志霄,肖笃宁.城郊景观动态模型研究[J].应用生态学报,1996,7(1):77-82.
    [172]傅伯杰.黄土区农业景观空间格局分析[J].生态学报,1995,15(2):113-120.
    [173]陈利顶,傅伯杰.黄河三角洲地区人类活动对景观结构的影响分析[J].生态学报,1996,16(4):337-344.
    [174]曾辉,邵楠,郭庆华.珠江三角洲东部常平地区景观异质性研究[J].地理学报,1999,54(3):255-262.
    [175]曾辉,郭庆华,喻红.东莞市风岗镇景观人工改造活动的空间分析[J].生态学报,1999,19(3):298-303.
    [176]彭少麟.边缘效应对森林景观的影响.见:肖笃宁主编.景观生态学理论、方法及应用[M].北京:中国林业出版社,1991.
    [177]徐化成.大兴安岭北部林区原始林景观结构的研究[A].见:盛伟彤,徐孝庆主编.森林环境持续发展学术讨论会论文集[C].北京:中国林业出版社,1994.117-122.
    [178]郭晋平,阳含熙,张芸香.关帝山林区景观要素空间分布及其动态研究[J].生态学报,1999,19(4):468-473.
    [179]郭晋平,薛俊杰,李志强,等.森林景观恢复过程中景观要素斑块规模的变化[J].生态学报,2000,20(2):218-223.
    [180]郭晋平,王俊田,李世光.关帝山林区景观要素沿环境梯度分布趋势的研究[J].植物生态学报,2000,24(2):135-140.
    [181]李月辉,胡远满,常禹,等.大兴安岭呼中林业局森林景观格局变化及其驱动力[J].生态学报,2006.26(10):3347-3357.
    [182]吴波,慈龙骏.毛乌素沙地景观格局变化研究.生态学报[J].2001,21(2):191-196.
    [183]贾宝全,慈龙骏,杨晓晖,等.石河子莫索湾垦区绿洲景观格局变化分析[J].生态学报,2001,21(1):34-40.
    [184]贾宝全,慈龙骏,任一萍.绿洲景观动态变化分析.生态学报[J].2001,21(11):1947-1951.
    [185]王根绪,程国栋.干旱荒漠绿洲景观空间格局及其受水资源条件的影响分析[J].生态学报,2000,20(3):363-368.
    [186]宋冬梅,肖笃宁,张志城,等.甘肃民勤绿洲的景观格局变化及驱动力分析[J].应用生态学报,2003,14 (4):535-539.
    [187]蒋勇军,袁道先,况明生,等.典型岩溶流域景观格局动态变化-以云南小江流域为例[J].生态学报,2004,24(12):2927-2931.
    [188]陈东立,余新晓.黄土丘陵沟壑区流域景观格局调控与减水减沙效益[J].中国水土保持科学,2005,3(4):77-80.
    [189]龚建周,夏北成.景观格局指数间相关关系对植被覆盖度等级分类数的响应[J].生态学报,2007,27(10):4075-4085.
    [190]何东进,洪伟,胡海清.景观生态学的基本理论及中国景观生态学的研究进展.江西农业大学学报.2003,25(3):276-282.
    [191] Rapport D.J.,Regier H.A.Hutchinson T.C.Ecosystem behavior under stress.American Naturlist,1985,125: 617-640.
    [192] John A.Leopold.A biotic view of land .Journal of Forestry,1939,37: 727-730.
    [193]邱扬,傅伯杰.土地持续利用评价的景观生态学基础[J].资源科学,2000.22(6):1-8.
    [194]王劲峰.空间分析[M].北京:科学出版社.2006.
    [195] Richard J. Chorley.Spatial analysis in geomorphology[M].London : Methuen & Co., 1972.
    [196]朱长青,史文中.空间分析建模与原理[M].北京:科学出版社, 2006.
    [197]汤国安,杨昕.ArcGIS地理信息系统空间分析实验教程[M].北京:科学出版社,2006.
    [198]刘湘南,黄方,王平.GIS空间分析原理与方法(第二版)[M].北京:科学出版社,2008.
    [199]邬伦.地理信息系统-原理,方法和应用[M].北京:科学出版社,2001:50-100.
    [200]吴信才.地理信息系统原理与方法[M].北京:电子工业出版社,2002:91-112.
    [201] Michael Zeiler.Modeling Our World[M].ESRI,1999.
    [202]万幼川,宋杨.一种新型空间数据模型Geodatabase[J].测绘通报,2004,(11):31-33.
    [203]邵永社,李晶.GeoDatabase数据模型及其几何网络的拓扑分析应用[J].测绘工程,2005,14(1):17-19.
    [204] David Aretur,Miehael Zeiler.Geodatabase Case Studies.ESRI公司Arclnfo文档,2003.
    [205]陈静,张树文.面向对象空间数据模型--Geodatabase及其实现[J].国土与自然资源研究,2003.2:88-91.
    [206]李国标,庄雅平.面向对象的GIS数据模型——地理数据库[J].测绘通报,2001,6:37-39.
    [207]韩旭廷,GeoDatabase数据模型应用研究[J].天津测绘,2004.1:55-61.
    [208] Von Neumann,J.Theory of Self-ReProducing Automata,IL,1966,University of Illinois Press.
    [209] Stephen Wolfrm ,Statistical Mechanics of Cellular Automata,Rev.Mod.Phys.,1983,55-60.
    [210] Stephen Wolfrm,Computation Theory of Cellular Automata, Communications in Mathematical Physics,Commun.Math.Phys.96,1984,15-57.
    [211]谢惠民.非线性科学丛书:复杂性与动力系统[M].上海科技教育出版社,1994.
    [212] Culik, II K.,Hurd, L.P. and Yu,S.Computation Theoretic Aspects of Cellular Automata,Physica D,1990.45:357-378.
    [213] Hurd,L.P., Kari,J.,The Topological Entropy of Cellular Automata is uncomputable ,Ergodic Theory and Dynamic Systems1992.12:255.
    [214] Xie,Y.,A Generlized Model for Cellular Urban Dynamics[J].Geographical Analysis,1997,28:350-373.
    [215]史忠植.高级人工智能[M].北京:科学出版社,1998.
    [216] CLARKE K C, GAYDOS L J, HOPPENS. A Self-modified Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area [J]. Environment and Planning B,1997,24:247-261.
    [217] WHITE R, ENGELEN G. Cellular Automata and Fractal Urban Form: a CellularModeling Approach to the Evolution of Urban Land Use Patterns [J].Environment and Planning A, 1993,25:1175-1199.
    [218] WHITE R, ENGELEN G. Cellular Automata as the Basis of Integrated Dynamic Regional Modeling [J].Environment and Planning B,1997,24:235-246.
    [219] WU F.An Experiment on the Generic Poly-centricity of Urban Growth in a Cellular Automatic City [J].Environment and Planning B,1998,25:731-752.
    [220] WU.F. WEBSTER C J. Simulation of Land DevelopmentThrough the Integration of Cellular Automata and Multi-criteria Evaluation [J].Environment and Planning B, 1998,25:103-126.
    [221] WU.F.Housing Provision under Globalization: a Case Study of Shanghai [J]. Environment and Planning A, 2001,33:1741-1764.
    [222] Batty M, Xie Y.From Cells to cities.Environment and Planning B,1994.21:31-48.
    [223] Waddell P.Urbansim:Modeling Urban Development for Land Use,Transportation,and Environment Planning.Journal of American Planning Association,2002,68(3):297-313.
    [224] Deal Brian M,Zhanli Sun.A Spatially Explicit Urban Simulation Model:The Land-use Evolution and Impact Assessment Model(LEAM).In:Regional Development, Infrasturcture,and Adaptation to Climate Variability and Change,Ruth,Mattias(Eds).New York,NY:Springer,2005.
    [225] LI Xia, ANTHONYGar-OnYeh.Calibration of Cellular Automata by Using Neural Networks for the Simulation of ComplexUrban Systems[J].Environment and Planning A,2001,33:1445-1462.
    [226] LI Xia, ANTHONYGar-OnYeh. ACellularAutomataModel to Simulate Development Density forUrban Planning [J].Environment and Planning B, 2002,29:431-450.
    [227]武晓波,赵健,魏成阶等.细胞自动机模型用于城市发展模拟的方法初探—以海口市为例[J].城市规划,2002,26(8):69-73.
    [228]刘小平,黎夏,彭晓娟.“生态位”元胞自动机在土地可持续规划模型中的应用[J].生态学报,2007,27(6):2391-2402.
    [229]陈龙泉,郑海金.基于Markov-CA的土地利用/土地覆盖变化动态模型研究[J].测绘信息工程,2004,29(1):36-37.
    [230]陈建平,丁火平,王功文等.基于GIS和元胞自动机的荒漠化演化预测模型[J].遥感学报,2004,8(3):254-260.
    [231]杨青生,黎夏,刘小平.基于Agent和CA的城市土地利用变化研究.地球信息科学,2005,7(2):78-93.
    [232]成筠,陶刘强,刘文宝.元胞自动机在农村土地利用动态模拟中的应用研究.福建电脑,2007(10):93-94.
    [233]杨小雄,刘耀林,王晓红,等.基于约束条件的元胞自动机土地利用规划布局模型.武汉大学学报(信息科学版),2007,32(12):1164-1167.
    [234]邱炳文,陈崇成.基于多目标决策和CA模型的土地利用变化预测模型及其应用[J].地理学报,2008,63(2):165-264.
    [235]郑新奇.城市土地优化配置与集约利用评价-理论,方法,技术,实证[M].北京:科学出版社,2004.
    [236]陈云浩,苏伟,武永峰,等.中国北方农牧交错带土地利用格局演变与模拟[J].中国科学E辑技术科学,2006,36(增刊):124-132.
    [237]徐昔保.基于GIS与元胞自动机的城市土地利用动态演化模拟与优化研究——以兰州市为例[D].兰州大学研究生学位论文.2007.
    [238]李桢.东北地区自然地理[M].北京:高等教育出版社,1993.
    [239]林年丰,汤洁.第四纪环境演变与中国北方的荒漠化[J].吉林大学学报(地球科学版),2003,33(2):183-191.
    [240]张殿发,林年丰.松嫩平原生态地质环境变迁构造-气候旋回机制探讨[J].世界地质,2000,19(1):73-77.
    [241]刘兴土.松嫩平原退化土地整治与农业发展[M].北京:科学出版社,2001,9.
    [242]吉林省气象局农业气候办公室.吉林省农业气候资源区域开始规划,1992.
    [243]吕金福,肖荣寰,李志民,等.松嫩平原湖泊综合分类研究[J].东北师大学报(自然科学版),2000,32(2):92-98.
    [244]章光新.松嫩平原水资源可持续利用战略探讨[J].水土保持通报,2004,24(1):69-73.
    [245]裘善文,夏玉梅,任佩芳,等.松嫩平原更新世地层及其沉积环境研究[A].中国东北平原第四纪自然环境形成与演化.哈尔滨:哈尔滨出版社,1991.
    [246]汪佩芳,夏玉梅.松嫩平原晚更新世以来古植被演替的初步研究[M].哈尔滨:哈尔滨地图出版社,1990.
    [247]王建国,赵丽.松嫩平原农业持续发展的综合研究[J].农业系统科学与综合研究,1997,13(3):224-228.
    [248]刘斐,王鸿飞,丁本昌.松嫩平原农业发展方向和土地开发潜力[J].水利科技与经济,2003,9(3):160-162.
    [249]林学钰,陈梦熊.松嫩盆地地下水资源与可持续发展研究[M].北京:地震出版社,2000.
    [250]肖荣寰.松嫩沙地的地理位置及土地沙漠化的主要区域特征[M].松嫩沙地的土地沙漠化研究.东北师范大学出版社,1995.1-8.
    [251]林年丰,汤洁.中国干旱半干旱区的环境演变与荒漠化的成因[J].地理科学,2001,21(1):24-29.
    [252]裘善文.松嫩平原湖泊的成因及其变迁.见:中国东北平原第四纪自然环境形成与演化[M].《东北平原第四纪自然环境形成与演化》课题组.哈尔滨:哈尔滨出版社,1991.146-154.
    [253]林年丰.第四纪地质环境的人工再造作用与土地荒漠化.第四纪研究,1998.(2):128-135.
    [254]介冬梅,吕金福,李志民等.大布苏湖全新世沉积岩芯的碳酸盐含量与湖面波动[J].海洋地质与第四纪地质,2001.21(2):77-82.
    [255]熊商发,丁仲礼,刘东生.第四纪气候变化机制研究的进展与问题[J].地球科学进展,1998,13(3):265-271.
    [256]裘善文.中国东北平原西部沙漠化现状,成因及其治理途径研究[J].中国沙漠,2004,24(2):124-128.
    [257]周以良.中国东北植被地理[M].北京:科学出版社,1997.
    [258]郑慧莹,李建东.松嫩平原的草地植被及其利用保护[M].北京:科学出版社,1993.
    [259]魏天宇.松嫩平原湿地水资源初探及建议[J].水利科技与经济,2004,10(6):352-.353.
    [260]万江波,祝国瑞,彭秋苟.土地利用信息图谱的研究及应用[J].武汉大学学报(信息科学版),2005,30(4):355-358.
    [261]梅安新,彭望禄.遥感导论[M].北京:高等教育出版社,2005.
    [262]刘纪远.中国资源环境遥感宏观调查与动态研究[M].北京:中国科学技术出版社,1996.
    [263]刘纪远,庄大方,等.中国土地利用时空数据平台建设及其支持下的相关研究[M].地球信息科学,2002,3:1-8
    [264]孙家柄,舒宁,关泽群.遥感原理,方法和应用[M].北京:测绘出版社,1997.
    [265]李哈滨,FranklinF.景观生态学-生态学领域的新概念[J].生态学进展,1988,5(1):23-33
    [266]张树文,张养贞,李颖,等.东北地区土地利用/覆被时空特征分析[M].北京:科学出版社.2006.
    [267]柏延臣,王劲峰.结合多分类器的遥感数据专题分类方法研究[J].遥感学报,2005,9(5):555-563
    [268]任志远,张艳芳.土地利用变化与生态安全评价[M].北京:科学出版社,2003.
    [269]刘明亮,唐先明,庄大方.基于融合技术的结构性栅格时空数据平台的构建[J].地球信息科学,2003,4:63-68.
    [270] G. I. Metternicht, J.A. Zinck. Remote sensing of soil salinity potentials and constraints [J].Remote Sensing of Environment,2003,85:1-20
    [271] HarriKiiver,i PeterCaccetta. Image Fusion with Conditional Probability Networks forMonitoring the alinization of Farmland[J].DIGITAL SIGNAL PROCESSING,1998,8:225-230.
    [272]白卫国.高寒草地生态系统区土地利用空间变化的分析方法研究[D].北京林业大学,2004.
    [273]林年丰,汤洁.松嫩平原环境演变与土地盐碱化、荒漠化的成因分析[J].第四纪研究,2005,25(4):474-483.
    [274] Turner, M.G.Spatial and temporal analysis of Landscape patterns [J].Landscape Ecology, 1990, 4(1):21-30.
    [275]肖笃宁,布仁仓,李秀珍.生态空间理论与景观异质性[J].生态学报,1997,17(5):453-461.
    [276] Mc Garigal K, Marks B. FRAGSTATS: Spatial patter nanalysis program for quantifying landscape structure. Reference manual. Forest Science Department, Oregon State University, Corvallis Oregon, March 1994,62.
    [277]刘湘南,许红梅,黄方.土地利用空间格局及其变化的图形信息特征分析[J].地理科学,2002,22(1):79-84.
    [278]薛丽霞,王佐成,赵纯勇.重庆市北部新区土地利用空间分异研究[J].地理与地理信息科学,2003,19(2):60-64.
    [279]王伟中.地区可持续发展导论[M].北京:商务印书馆,1999.
    [280] Dumanski Julian,Gameda Samuel, Pieri Christian. Indicatoers of land quality and sustainable land management: Annaotated bibliography.Environmentally and Socially Sustainable development series: Rural development.The International Bank for Reconstruction and Development[M].The World Band. Washington, D,C.USA.
    [281]吕国平.论可持续发展思想相适应的新的资源观[J].资源科学,2001,23(3):1-3.
    [282]周宝同.土地资源可持续利用评价研究——以三峡库区忠县为例[D].西南农业大学博士学位论文,2001.
    [283]李怀强.聊城市土地资源可持续利用评价研究[D].山东农业大学硕士专业学位论文,2005.
    [284] Shepherd I D H. Information integration and GIS in Geographical Information Systems. Principles and Application,(Vol.2)[A].In:Maguire D J,Godchild M F,Rhind D W(ed).longman.London,1991:337-360.
    [285]崔伟宏.空间数据结构研究[M].北京:中国科学技术出版.1995.
    [286] ESRI.GIS Data management.ESRI.1990.
    [287] Dvid Martin and IanBracken.The integration and socioeconomic and physical resource data for applied landmagagernent information systems. Applied Geography,1993:45-53.
    [288]李军,周成虎.地学数据集成多尺度问题基础研究[J].地理科学进展,1996.15(1):48-52.
    [289]陈述彭,何建邦,承继成.地理信息系统的基础研究——地理信息科学[J].地球信息科学1997.(3):11-20.
    [290]麻素挺,汤洁,林年丰,基于GIS与RS多源空间信息的吉林西部生态环境综合评价[J].资源科学,2004,26(4):141-145.
    [291]蔡文.物元模型及其应用[M].北京:科学技术文献出版社,1994.
    [292]蔡文,杨春燕,林伟初.可拓工程方法[M].北京:科学出版社,2000.
    [293] T.L.Saaty,The Analytic Hierechy Process-Hill[M].New York:1980.
    [294] RIEBSAME W E, PARTON W J. Integrated modeling of land use and cover change [J]. Bioscience,1994,44(5):350-356.
    [295] Luijten J C.A Systematic Method for Generating Land Use Patterns Using Stochastic Rules and BasicLandScape Characteristics:Results for a Colombian Hillside Watershod[J].Agriculture Ecosystems &Environment,2003(95):427-441.
    [296]刘耀林,刘艳芳,张玉梅.基于灰色-马尔柯夫链预测模型的耕地需求量预测研究[J].武汉大学学报(信息科学版),2004,29(7):575-579.
    [297]刘继生,陈彦光.基于GIS的细胞自动机模型与人地关系的复杂性探讨[J].地理研究,2002,21(2):155-162.
    [298]杨国清,刘耀林,吴志峰.基于CA-Markov模型的土地利用格局变化研究[J].武汉大学学报(信息科学版),2007,32(5):414-418.
    [299] Verburg P.H., A. Veldkamp, G.H. J.De Koning, et al. A spatial explicit allocation procedure for modeling the pattern of land use change based upon actual land use[J]. Ecological modeling, 1999, 116:45-61.
    [300] Verburg, P.H., Soepboer, W., Limpiada,R., et al. Modeling the spatial dynacics of regional land use: The CLUE-S Model[J]. Environmental Management, 2002,30(3):391-405.
    [301] Teerasit K, Manoj K A, Pramod K, et al. Super-resolution land cover mapping using a Markov random field based approach[J].Remote Sensing of Environment, 2005,96(3-4):302-314.
    [302] Kiira A. Simulating vegetation dynamics and land use in a mire landscape using a Markov model[J].Landscape and Urban Planning,1995,31(1-3):129-142.
    [303]张滢,丁建丽.绿洲土地利用变化未来趋势预测及其调控研究[J].干旱区资源与环境,2006,20(6):29-35.
    [304]牛星,欧名豪.基于MARKOV理论的扬州市土地利用结构预测[J].经济地理,2007,27(1):155-157.
    [305] Li Xia, Zoning for agricultural land protection by the integration of remote sensing.GIS and celular automata [J].Photogrammetric Engineering & Remote sensing. 2001,67(4):471-477.
    [306] Gongzalez R C.Digital image processing.Reading,Massachusetts:Addison-Wesley Publishing Company,1997
    [307] Yeh A G O,Li X.sustainable land development model for rapid growth areas using GIS [J]. International Journal of Geographical Information Science. 1998,12(2):169-189.
    [308]刘光,贺小飞.地理信息系统实习教程[M].北京:清华大学出版社,2002133-138.
    [309] Wu F,Webster C J.simulation of land development through the integration of and multicriteria evaluation[J].environment and Planing B,1998,25:103-126.
    [310] Gabriela Bucini,Eric .F.Lambin.Fire impact on vegetation in Central Africa:a remote sensing based statistical analysis[J].Applied Geography.2002,(22):27-48.
    [311] Serneels,S.,and E.F.Lambin.Proximate causes of land use change in Narok district Kenya: a spatial statistical model[J].Agriculture,Ecosystems and Environment,2001,(85):65–82.
    [312]朱德举.土地评价[M].北京:中国大地出版社,2002.
    [313]黄跃进,唐锦春,孙柄楠.基于GIS的农用地土地适宜性评价模型的建立[J].浙江林学报,1999,16(4):406-410.
    [314]陈健飞,刘卫民.Fuzzy综合评判在土地适宜性评价中的应用[J].资源科学,1999,21(4):71-74.
    [315]宋如华,齐实,孙保平,等.区域土地资源的适宜性评级和空间布局[J].土壤侵蚀与水土保持学报,1997,3(3):23-30.
    [316]廖和平.未利用适宜性评价方法研究—以攀枝花市仁和区为例[J].西南大学学报(自然科学版),1997,22(2):199-205.
    [317]地球系统科学数据共享网.http://www.geodata.cn.
    [318]郭怀成,张振兴,于汤.流域土地可持续利用规划方法及应用研究[J].地理研究,2003,22(6):671-679.
    [319]耿红,王泽民.基于灰色线性规划的土地利用结构优化研究[J].武汉测绘科技大学学报,2000,25(2):167-182.
    [320]孟鹏.大城市郊区化过程中小城镇的区位分析与景观格局优化[D].中国农业大学.
    [321]刘思峰,郭天榜,党耀国等.灰色系统理论及应用[M].北京:科学出版社.1999.102-122.
    [322]秦向东,闵庆文.元胞自动机在景观格局优化中的应用[J].资源科学,2007,29(4):85-89.
    [323] University of Lethbridge.Proceedings of the international Workshop on Evaluation forSustainable Land Management for 21st Century.Plenary Papers[C].Lethbridge Canada.1993,12.
    [324] http://www.lindo.com/
    [325]谢金星,薛毅.优化建模与LINDO/LINGO软件[M].北京:清华大学出版社.2005.7

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700