[1]LI Xin,YE Changsheng,LYU Xue.Analysis of land Use Pattern Change in Poyang Lake Region Based on the Topographic Factor[J].Research of Soil and Water Conservation,2017,24(04):210-218.
Copy
Analysis of land Use Pattern Change in Poyang Lake Region Based on the Topographic Factor
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
24
Number of periods:
2017 04
Page number:
210-218
Column:
Public date:
2017-08-28
- Title:
- Analysis of land Use Pattern Change in Poyang Lake Region Based on the Topographic Factor
- CLC:
- F301.24
- DOI:
- -
- Abstract:
- In order to study the terrain gradient characteristics of land use spatial pattern change, Landsat TM interpretation data and DEM data of Poyang Lake area in 1990, 2000, 2010 and 2013 were used to analyze the relationship between landform, distribution index and geo-information map. Characteristics of Land Use Pattern Change’s topographic effect in Poyang Lake Region from 1990 to 2013. The results showed that: (1) From 1990 to 2013, the main land use types in Poyang Lake area were cultivated land, forest land and water area, its areas of these three types accounted for more than 90% in all 23 years, and the area of construction land increased obviously from 1 387.42 km2(1990) to 2 413.98 km2(2013), while cultivated land(decreased 513.39 km2), unused land(decreased 399.04 km2) and forest land (decreased 123.75 km2) decreased significantly. (2) From 1990 to 2013, the change of land use pattern had a terrain effect, and the low terrain gradient scope dominated the distribution of forest land in the range of cultivated land, construction land, water area and high terrain gradient, while unused land and grassland distributed to terrain gradient Suitability is strong. (3) From 1990 to 2013, the land use pattern of the study area was mainly stable(48 457.44 km2) and medium-term(2 014.56 km2), and the dominant area of stable map was located in the gradient of high and low terrain, and the change of cultivated land, woodland and construction land was stable; low and high terrain gradient range is the dominant distribution area of the medium-term transformation, mainly for the unused land-unused land-waters-waters, arable land-arable land-construction land-construction land.
- References:
-
[1] 王志宏,李仁东,毋河海.基于空间分析的土地利用垂直分异研究[J].长江流域资源与环境,2002,11(6):531-535.
[2] 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):1225-1234.
[3] 邱扬,傅伯杰,王军,等.黄土丘陵小流域土地利用的时空分布及其与地形因子的关系[J].自然资源学报,2003,18(1):20-29.
[4] 梁发超,刘黎明.基于地形梯度的土地利用类型分布特征分析:以湖南省浏阳市为例[J].资源科学,2010,32(11):2138-2144.
[5] 龚文峰,袁力,范文义.基于地形梯度的哈尔滨市土地利用格局变化分析[J].农业工程学报,2013,29(2):250-259,303.
[6] 张静,任志远.秦巴山区土地利用时空格局及地形梯度效应[J].农业工程学报,2016,32(2):250-257.
[7] 岳书平,张树文,闫业.东北样带土地利用变化对生态服务价值的影响[J].地理学报,2007,62(8):879-886.
[8] 毛蒋兴,李志刚,闫小培,等.深圳土地利用时空变化与地形因子的关系研究[J].地理与地理信息科学,2008,24(2):71-76.
[9] 郑亚运,赵清,黄巧华,等.济南市南部山区土地利用变化与地形因子关系研究[J].水土保持研究,2016,23(4):149-153.
[10] 郭洪峰,许月卿,吴艳芳.基于地形因子的大都市边缘区土地利用变化分析:以北京市平谷区为例[J].中国农业大学学报,2013,33(1):178-187.
[11] 哈凯,丁庆龙,门明新,等.山地丘陵区土地利用分布及其与地形因子关系:以河北省怀来县为例[J].地理研究,2015,34(5):909-921.
[12] 李丹,刘丹丹,赵金祥.基于DEM的山区土地利用变化分析[J].水土保持研究,2014,21(1):66-70.
[13] 郜红娟,张朝琼,张凤太.基于地形梯度的贵州省土地利用时空变化分析[J].四川农业大学学报,2015,33(1):62-70.
[14] 吴见,王帅帅,谭靖.基于安徽省土地利用变化的地形梯度效应分析[J].长江流域资源与环境,2016,25(2):239-248.
[15] 薛亚永,王晓峰.基于地形梯度的陕西省土地利用变化研究[J].中国农学通报,2016,32(11):56-63.
[16] 孙丕苓,许月卿,王数.环京津贫困带土地利用变化的地形梯度效应分析[J].农业工程学报,2014,30(14):277-288.
[17] 常雄凯,刘淼,李春林,等.辽宁沿海土地利用变化的图谱特征[J].生态学杂志,2015,34(12):3459-3465.
[18] 赵丽红,杨泽栋,潘鹏,等.南昌市景观信息图谱的地形梯度效应分析[J].江西农业大学学报,2016,38(4):767-775.
[19] 许艺萍.鄱阳湖区土地利用时空变化特征研究[J].江西农业大学学报:社会科学版,2009,8(2):8-12.
[20] 钟海燕.鄱阳湖区土地利用变化及其生态环境效应研究[D].南京:南京农业大学,2011.
[21] 李辉,张利华,陈晓玲.基于GIS/RS的鄱阳湖区土地利用变化及空间分异特征研究[J].华中师范大学学报:自然科学版,2009,43(4):666-671.
[22] 雷慧敏,叶长盛.鄱阳湖生态经济区县域城镇化水平综合测度及其差异[J].水土保持研究,2015,22(2):158-164,170.
[23] 李京京,吕哲敏,石小平,等.基于地形梯度的汾河流域土地利用时空变化分析[J].农业工程学报,2016,32(7):230-236.
[24] 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.
[25] 斯钧浪,齐伟,曲衍波,等.胶东山区县域土地利用在地形梯度上的分布特征[J].应用生态学报,2009,20(3):679-685.
- Similar References:
Memo
-
Last Update:
1900-01-01