Resources Evaluation

Spatial Pattern of Urban Land Use in the Mountain Area: A Case Study of Liupanshui in Guizhou Province

  • 1. School of Environmental and Resources Sciences, Liupanshui Normal University, Liupanshui 553004, China;
    2. School of Geography and Environment, Guizhou Normal University, Guiyang 550001, China

Received date: 2011-04-28

  Revised date: 2011-06-28

  Online published: 2012-03-20


Based on the following remote sensing satellite images: TM images obtained in 1990, ETM images in 2000 and CBERS 02B images in 2010, with the terrain niche index and distribution index, using human-computer interactive interpretation and the spatial overlay analyst of Geographical Information System, the land use variation data of Liupanshui Prefecture in Guizhou Province from 1990 to 2010 was obtained and its spatial distribution characteristics were quantitatively analyzed. The results showed that: 1) The spatial distribution of various land use types changed definitely during the two decades: the superiority of construction land in lower terrains increased and it had a trend of extending to higher terrains; the superior distribution range of paddy fields decreased to sections 1-7 from setions 1-9 but its superiority in low terrains increased; as a result of the increase of the superiority of construction land and paddy fields in low terrains, the superior distribution region of dry crop land and shrub land diminished and shifted up one or two sections. 2) During the 20 years, the whole spatial distribution pattern of land use in the study area did not change obviously, the terrain niche index curve still kept its three-section model; various land use types distributed alternatively, the obvious concentric ring and zonal distribution pattern centered on construction land was not formed. 3) Because of the particular geological environments in the study area and the contradiction relationship between human and land, the terrain suitability elastic of land use types partly intervened by human beings was stretched, which made the spatial distribution of some land use types such as dry crop land and construction land violated its natural quality, they appeared in higher terrain sections and had the trend of shifting up to higher sections.

Cite this article

MA Shi-bin, ZHANG Yong-rong, AN Yu-lun . Spatial Pattern of Urban Land Use in the Mountain Area: A Case Study of Liupanshui in Guizhou Province[J]. JOURNAL OF NATURAL RESOURCES, 2012 , 27(3) : 489 -496 . DOI: 10.11849/zrzyxb.2012.03.015


[1] 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. [2] 朱会义,何书金,张明.环渤海地区土地利用变化的驱动力分析[J].地理研究,2001,20(6):669-678. [3] 何书金,王秀红,邓祥征,等.中国西部典型地区土地利用变化对比分析[J].地理研究,2006,25(1):79-87. [4] Rounsevell M D A, Annetts J E, Audsley E, et al. Modelling the spatial distribution of agricultural land use at the regional scale [J]. Agriculture, Ecosystems and Environment,2003,95:465-479. [5] 姜广辉,张凤荣,孔祥斌,等.北京山区建设用地扩展空间分异分析[J].地理研究,2006,25(5):905-912. [6] 王双,何春阳,潘耀忠,等.水资源约束下北京地区20042020年土地利用变化情景模拟研究[J].自然资源学报,2006,21(4),535-544. [7] Shi P J, Yuan Y, Zheng J, et al. The effect of land use/cover change on surface runoff in Shenzhen region, China [J]. Catena, 2007,69:31-35. [8] Kong F H, Nakagoshi N. Spatial-temporal gradient analysis of urban green spaces in Ji'nan, China [J]. Landscape and Urban Planning,2006,78(1):147-164. [9] Zhao B, Kreuter U, Li B, et al. An ecosystem service value assessment of land-use change on Chongming Island, China [J]. Land Use Policy,2004,21:139-148. [10] 喻红,曾辉,江子瀛.快速城市化地区景观组分在地形梯度上的分布特征研究[J].地理科学,2001,21(1):64-69. [11] 陈利顶,杨爽,冯晓明.土地利用变化的地形梯度特征与空间扩展——以北京市海淀区和延庆县为例[J].地理研究,2008,27(6):1225-1235. [12] 吴传钧,郭焕成.中国土地利用[M].北京:科学出版社,1994. [13] 汪小钦,王钦敏,刘高焕,等.黄河三角洲土地利用/土地覆盖区域分异[J].自然资源学报,2006,21(2):165-171. [14] 梁国付,韩艳,丁圣彦.伏牛山北坡森林景观变化的地形梯度特征分析[J].地理科学,2010,30(2):242-247. [15] Masek J G, Lindsay F E, Goward S N. Dynamics of urban growth in the Washington D C metropolitan area, 1973-1996, from Landsat observations [J]. International Journal of Remote Sensing,2000,21(18):3473-3486. [16] 王鹏程,姚婧,肖文发,等.三峡库区森林植被分布的地形分异特征[J].长江流域资源与环境,2009,18(6):529-534. [17] Yang X, Lo C P. Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area [J]. International Journal of Remote Sensing,2002,23(9):1775-1798.