伊犁河中下游近40年土地利用与覆被变化
网络出版日期: 2010-03-25
基金资助
中国科学院重要方向项目（KZCX2-YW-307-03）
Detection of Land Use/Land Cover Change in the Middle and Lower Reaches of the Ili River, 1970-2007
Online published: 2010-03-25
针对跨界流域土地利用/覆被变化(LUCC)信息十分有限，无法满足对环境变化评估需要的现状，本文以跨界流域——哈萨克斯坦境内伊犁河中下游为研究区，利用20世纪70年代的MSS、90年代的TM、2000年和2007年的ETM卫星遥感影像，采用目视解译与决策树相结合的分类方法，可较高精度提取研究区LUCC的时空信息，通过一套数理统计模型，定量分析了区域LUCC的过程和趋势。近40年来，高覆盖度林草地、中覆盖度林草地和耕地始终是伊犁河中下游地区所占比例最大的3种土地利用/覆被类型。整个研究时段内，耕地、水库坑塘和未利用地先增加后减少，其中耕地总体呈现减少的趋势，但减少幅度逐渐减小，水库坑塘和未利用地面积总体趋于增加。高覆盖度林草地和河流呈现出持续减少的态势，而建设用地面积持续增加。中覆盖度林草地、湖泊和沼泽先增加后减少，总体呈现增加趋势。低覆盖度林草地经历了减少—增加—减少的变化过程，总体呈现减少趋势。耕地和林草地相互转换频繁，其中耕地与高覆盖度林草地之间的转换和高、中覆盖度林草地之间的转换为区域内最主要的四种变化类型。1970-2007年间，伊犁河中下游地区土地利用始终处于准平衡状态，但有向不平衡状态发展的趋势。20世纪70年代卡普恰盖水库的建立和90年代初期的政策变化改变了原有变化的随机性和平稳性，使区域内相关土地利用/覆被发生显著变化。
朱磊1,2|罗格平1|陈曦1|许文强1|冯异星1,2|郑青华1,2|王继燕1,2|周德成1,2|尹昌应1,2 . 伊犁河中下游近40年土地利用与覆被变化[J]. 地理科学进展, 2010 , 29(3) : 292 -300 . DOI: 10.11820/dlkxjz.2010.03.006
Land use/land cover change (LUCC) information is usually limited in the transboundary river basin. It is unable to meet the needs for environmental assessment. Central Asia is the most fragile ecological area in the world. As the largest import river supply to Balkhash Lake, Ili River plays a significant role on regional environment. In this study we took a case of the middle and lower reaches of the Ili River, which is bordered with Xinjiang, China, to analyse the process and trend of LUCC at a regional scale quantitatively. Based on MSS images in the 1970s, TM images in the 1990s, and ETM images in the 2000s and 2007, spatial data about land use/land cover were obtained in this study with the combination of visual interpretation and the decision tree classification module. Because of the lack of the large scale reference data (e.g. aerial photographs or topographic maps) and field survey, we assessed the classification accuracy with higher revolution images on Google Earth Pro?誖. Then the characteristics of LUCC were quantified by the way of process and trend models. The results showed that densely covered woodlands and grasslands, moderately covered woodlands and grasslands and cultivated lands always accounted for the largest areal proportion in the middle and lower reaches of the Ili River in the past four decades. The area of moderately covered woodlands and grasslands, lakes, reservoirs, swamps, construction lands and unused lands increased considerably, with only a slight increase of swamps. The area of cultivated lands, densely covered woodlands and grasslands, sparsely covered woodlands and grasslands and river decreased slightly. The major LUCC categories were the swamps between cultivated lands and densely covered woodlands and grasslands as well as the swamps between densely covered woodlands and grasslands and moderately covered woodlands and grasslands. The area of cultivated lands was influenced significantly by policies. Although the land use/land cover still at the quasi-balanced status in the entire period, a trend of imbalanced status was appeared. Natural and anthropogenic driving forces effected LUCC of the middle and lower reaches of the Ili River as a whole. The construction of Kapchagay Reservoir in the 1970s and the institutional reform in the early 1990s changed the randomness and stability of LUCC, and made the regional land use/land cover change more obvious.
[1] Lambin E F, Baulies X, Bockstael N E, et al. Land-use and land-cover change implementation strategy. Stockholm: IGBP Report No.48 and IHDP Report No.10, 2002， 21-66.
[2] Wolter P T, Johnston C A, Niemi G J. Land use land cover change in the U.S. Great Lakes Basin 1992 to 2001. Journal of Great Lakes Research, 2006, 32(3): 607-628.
[3] 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.
[4] 唐华俊, 陈佑启, 邱建军, 等. 中国土地利用/土地覆盖变化研究. 北京: 中国农业科学科技出版社, 2004.
[5] Turner B L II, Matson P A, McCarthy J J, et al. Illustrating the coupled human-environment system for vulnerability analysis: Three case studies. Proceedings of the National Academies of Sciences, 2003, 100(14): 8080-8085.
[6] Foody G M. Status of land cover classification accuracy assessment. Remote Sensing of Environment, 2002, 80(1): 185-201.
[7] Fassnacht K S, Cohen W B, Spies T A. Key issues in making and using satellite-based maps in ecology: A primer. Forest Ecology and Management, 2006, 222(1-3): 167-181.
[8] Kavzoglu T. Increasing the accuracy of neural network classification using refined training data. Environmental Modeling & Software, 2009, 24(7): 850-858.
[9] Roy P S, Tomar S. Biodiversity characterization at landscape level using geospatial modeling technique. Biological Conservation, 2000, 95(1): 95-109.
[10] Amarnath G, Murthy M S R, Britto S J, et al. Diagnostic analysis of conservation zones using remote sensing and GIS techniques in wet evergreen forests of the Western Ghats: An ecological hotspot, Tamil Nadu, India. Biodiversity and Conservation, 2003, 12: 2331-2359.
[11] Kerr J T, Ostrovsky M. From space to species: Ecological applications for remote sensing. TRENDS in Ecology and Evolution, 2003, 18(6): 299-305.
[12] Rouget M. Measuring conservation value at fine and broad scales: implications for a diverse and fragmented region, the Agulhas Plain. Biological Conservation, 2003, 112(1-2): 217-232.
[13] 胡召玲, 杜培军, 赵昕.徐州煤矿区土地利用变化分析. 地理学报, 2007, 62(11): 1204-214.
[14] Hansen M, Dubayah R, Defries R. Classification trees, an alternative to traditional land cover classifiers. International Journal of Remote Sensing, 1996, 17(5): 1075-1081.
[15] Friedl M A, Brodley C E. Decision tree classification of land cover from remotely sensed data. Remote Sensing Environment, 1997, 61(3): 399-409.
[16] Rogan J, Franklin J, Roberts D A. A comparison of methods for monitoring multitemporal vegetation change using Thematic Mapper imagery. Remote Sensing of Environment, 2002, 80(1): 143-156.
[17] 秦其明. 遥感图像自动解译面临的问题与解决的途径. 测绘科学, 2000, 25(2): 21-24.
[18] Cunningham M A. Accuracy assessment of digitized and classified land cover data for wildlife habitat. Landscape and Urban Planning, 2006, 78(3): 217-228.
[19] 吉力力·阿不都外力, 木巴热克·阿尤普. 基于生态足迹的中亚区域生态安全评价. 地理研究, 2008, 27(6): 1309-1320.
[20] Plisak R P. Izmeneniya Rastitel’nosti Delty Reki Ili pri Zaregulirovanii Stoka. Nauka, Alma-Ata, 1981: 216.(in Russian)
[21] Anon. Prirodnie Resursy Bolshikh Ozer SSSR I Veroyatnie ikh Izmeneniya. Natural Resources of Large Lakes in the USSR and their Probable Changes. Leningrad, Nauka, 1984: 228. (in Russian)
[22] 王秀红, 杨阳, 张红旗. 新疆伊犁地区土地利用变化特点分析. 新疆农业科学, 2008, 45(S3): 13-16.
[23] 包桂荣，白长寿，高清竹, 等. 新疆伊犁河流域土地利用变化及其对生态系统服务价值的影响. 中国农业气象, 2008, 29(2): 208-212.
[24] 加尔肯，王文杰，朱海涌, 等. 伊犁河谷土地利用/土地覆被遥感调查分析研究. 新疆环境保护, 2007, 29(3): 05-10.
[25] Gitelson A, Beurs K M, et al. Consequences of institutional change: Land-cover dynamics in Kazakhstan 1960-2000. 2001-2002 Progress Report for NASA LCLUC project 1-6. http://www.calmit.unl.edu/kz/, 2002.
[26] Beurs K M de, Henebry G M. Land surface phenology, climatic variation, and institutional change: Analyzing agricultural land cover change in Kazakhstan. Remote Sensing of Environment, 2004, 89(4): 497-509.
[27] Sivanpillai R, Latchininsky A V, Driese K L, et al. Mapping locust habitats in River Ili Delta, Kazakhstan, using Landsat imagery. Agriculture, Ecosystems and Environment, 2006, 117(2/3): 128-134.
[28] 叶佰生，赖祖铭，施雅风. 气候变化对天山伊犁河上游河川径流的影响. 冰川冻土, 1996, 18(1): 29-36.
[29] 扎特卡柏耶夫. 伊犁河下游鹈鹕鸟种群现状. 干旱区研究, 1990, 7(4): 71-72.
[30] Uzun G, Yucel M, Yilmaz K T, et al.. Biotope mapping in the example of Cukurova Deltas. Turkish Scientific and Technical Research Centre, Nr. TUBITAK TBAG.1164, final report, Adana, Turkey, 1995: 144.
[31] Altan O. Use of photogrammetry, remote sensing and spatial information technologies in disaster management, especially earthquakes. Geo-information for Disaster Management, 2005, 4: 311-322.
[32] Luedeling E, Buerkert A. Typology of oases in northern Oman based on Landsat and SRTM imagery and geological survey data. Remote Sensing of Environment, 2008, 112(3): 1181-1195.
[33] 黄雄伟. 基于GIS和RS的城市土地利用时空演化研究: 以长沙为例. 中国地质大学, 2008.
[34] Janssen L L F, Vander Welf F J M. Accuracy assessment of satellite derived land-cover data: A review. Photogrammetric Engineering & Remote Sensing, 1994, 60(4): 419-426.
[35] 郭利丹, 夏自强, 李捷, 等. 巴尔喀什湖流域气候变化特征分析. 河海大学学报: 自然科学版, 2008, 36(3): 316-321.
[36] 杨川德. 巴尔喀什湖水位变化及其原因. 干旱区地理, 1993, 16(1): 36-42.
[37] 张忠. 哈萨克斯坦伊犁河: 巴尔喀什湖水域现状. 中亚信息, 2001(5): 22.
[38] Luo G P, Zhou C H, Chen X, et al. A methodology of characterizing status and trend of land changes in oases: A case study of Sangong River watershed, Xinjiang, China. Journal of Environmental Management, 2008, 88(4): 775-783.
/
| 〈 |
|
〉 |