地理信息科学

新开河流域土地利用格局变化图谱分析

展开
  • 1. 吉林师范大学旅游与地理科学学院, 吉林四平136000;

    2. 中国科学院水利部成都山地灾害与环境研究所, 成都610041;

    3. 东北师范大学城市与环境科学学院, 长春130024;

    4. 中国科学院东北地理与农业生态研究所, 长春130012;
    5. 吉林师范大学化学学院, 吉林四平136000
张国坤(1963-), 男, 辽宁绥中人, 博士,副教授, 主要从事地图、遥感、地理信息系统、环境学、城市规划、 景观生态学及景观生态设计等教学与研究工作。E-mail: ldxyzgk@163.com

收稿日期: 2009-12-14

  修回日期: 2010-05-24

  网络出版日期: 2010-09-20

基金资助

国家重点基础研究发展规划(973) 项目(2009CB426305);东北师范大学“十五”科技创新平台建设计划项目(106111065202);吉林师范大学博士启动基金项目(200809);中科院湿地生态与环境重点实验室项目(WELF-2004-B-008)

The TUPU Analysis of Land Use Pattern in Xinkai River Basin

Expand
  • 1. College of Tourism and Geographical Science, Jilin Normal University, Siping 136000, Jilin, China;

    2. Institute of Mountain Hazards and Environment, CAS, Chengdu 610041, China;

    3. College of Urban and Environmental Sciences, Northeast Normal University, Changchun 130024, China;

    4. Northeast Institute of Geography and Agricultural Ecology, CAS, Changchun 130012, China;

    5. College of Chemistry, Jilin Normal University, Siping 136000, Jilin, China

Received date: 2009-12-14

  Revised date: 2010-05-24

  Online published: 2010-09-20

Supported by

Foundation: Major State Basic Research Development Program of China (973), No.2009CB426305;"Eleventh Five-year" Science and Technology Innovation Platform Foster Program of Northeast Normal Univeristy ,No.106111065202;Doctoral Fund from Jilin Normal University,No.2008009; Key Lab of Wetland Ecology and Environment,CAS,No.WELF-2004-B-008]

摘要

基于地学信息图谱分析方法,运用ARC/INFO软件,以马尔柯夫空间概率模型为基础,利用新开河流域33 年(1969-2001 年) 土地利用格局4 期的空间数据(1969 年、1979 年、1992年、2001 年),合成了一系列土地利用格局变化图谱,通过图谱分析来了解新开河流域的土地利用格局变化规律。结果表明:在过去33 年期间该流域土地利用格局发生了显著变化。耕地大幅度增加,其净增面积1357.2 km2,占流域总面积超过32%,其主要来源于草地、沙地、沼泽地、林地;沙地变化有所起伏,占流域总面积不低于23%,虽然总体呈减少趋势,但流域的草地沙化、耕地沙化还比较严重;草地大幅度减少,其净减面积1582.6 km2,占流域总面积由36.2%缩减为18.5%,其主要来源于开垦草地为耕地、草地退化成沙地、沼泽地、盐碱地以及草地改造种植林地;居民地、盐碱地呈增加趋势,湿地、林地呈减少趋势。

本文引用格式

张国坤, 邓伟, 张洪岩, 宋开山, 李恒达 . 新开河流域土地利用格局变化图谱分析[J]. 地理学报, 2010 , 65(9) : 1111 -1120 . DOI: 10.11821/xb201009008

Abstract

In this paper, the research is conducted based on the geographic information TUPU analytic methods and Markov model of space probability. With the support of ARC/INFO software, this paper has compounded a series of varying TUPU of the land-use pattern by using spatial data covering four periods (1969, 1979, 1992 and 2001) in the Xinkai River basin. We can comprehend the changes of land-use pattern in the Xinkai River basin through the TUPU. The result shows that great changes have taken place on the land-use pattern in this basin during the past 33 years. The farmland has a net increase of 1357.2 km2 (exceeding 32% of the total basin), and most of it was converted from grassland, sandy soil, marsh and woodland. The changes of sandy soil somewhat oscillated. The area of sandy soil accounted for less than 23% of the total basin area. Although the sandy soil tended to decrease on the whole, the desertification of grassland and farmland is still serious in this basin. The grassland has decreased greatly. It has a net reduction of 1582.6 km2 from 36.2% to 18.5% of the total basin area. The main reasons are summarized in three respects: first, grassland has been cultivated into farmland; second, grassland has degenerated into sandy soil, marsh and saline land; third, grassland has been transformed into plantable woodland. The residential land and saline land show a decreasing trend while the wetland and woodland present an increasing trend.

参考文献


[1] Fu Bojie, Chen Liding, Wang Jun et al. Land use structure and ecological processes. Quaternary Sciences, 2003, 23(3): 247-255.

[傅伯杰, 陈利顶, 王军等. 土地利用结构与生态过程. 第四纪研究, 2003, 23(3): 247-255.]

[2] Wu Jianguo. Landscape Ecology: Pattern, Process, Structure and Scale. Beijing: Higher Education Press, 2000: 163-221.

[邬建国. 景观生态学: 格局、过程、尺度与等级. 北京: 高等教育出版社, 2000: 163-221.]

[3] Jenson J Q, Cowen D. Principles of change detection using digital remote sensor data//Jenson J Q//Integration of GIS and Remote Sensing. Cambridge: Cambridge University Press, 1997: 1-25.

[4] Xiao J Y, Ge J F, Shen Y J et al. Research on land use/cover change in Shijazhuang using landsat TM and ETM+ data. Geographical Science, 2005, 25(4): 495-500.

[5] Mulders M A. Advances in the application of remote sensing and GIS for surveying mountainous land. International Journal of Applied Earth Observation and Geo-information. 2001, 3(1): 3-10.

[6] Britaldo Silveira Soares-Filho. Gustavo Continuo Cerqueira and Casio Lopes Panache in Dina mica-astochastic cellular automata model designed to simulate the landscape dynamics in an Amazonian colonization frontier. Ecological Modeling, 2002, 154(3): 217-235.

[7] Chen Shupeng. Graphic Methodology for Geo-Informatics Sciences. Beijing: The Commercial Press, 2001: 1-36.

[陈述 彭. 地学信息图谱探索研究. 北京: 商务印书馆, 2001: 1-36.]

[8] Fu Suxing. Remote Sensing Thematic Analysis and Geo-Tupu. Beijing: Science Press, 2002: 1-14.

[傅肃性. 遥感专题分 析与地学图谱. 北京: 科学出版社, 2002: 1-14.]

[9] Li Jun, Zhuang Dafang. Theories and systems of geo-spatial data integration. Progress in Geography, 2001, 20(2): 137-145.

[李军, 庄大方. 地理数据集成的理论与集成体系. 地理科学进展, 2001, 20(2): 137-145.]

[10] Ye Qinghua, Liu Gaohuan, Tian Guoliang et al. Tupu analysis of spatial-temporal integration on land-use changes in the Yellow River Delta. Science in China: Series D, 2004, 34(5): 461-474.

[叶庆华, 刘高焕, 田国良等. 黄河三角洲土 地利用时空复合变化图谱分析. 中国科学: D辑, 2004, 34(5): 461-474.]

[11] Zhang Qiuju, Fu Bojie, Chen Liding. Several problems about landscape pattern change research. Geographical Science, 2003, 23(3): 264-270.

[张秋菊, 傅伯杰, 陈利顶. 关于景观格局演变研究的几个问题. 地理科学, 2003, 23 (3): 264-270.]

[12] Zhang Guokun, Deng Wei, Song Kaishan et al. On the land-use pattern shifting in Xinkai River basin and its ecological significance. Acta Ecologica Sinica, 2006, 26(9): 3027-3028.

[张国坤, 邓伟, 宋开山等. 新开河流域土地利 用格局变化及其生态学意义. 生态学报, 2006, 26(9): 3027-3028.]

[13] Chen Chun, Wu Yuhang, Liu Zhiming et al. The ground reflectance spectrum retrieval from ETM images. Spectroscopy and Spectral Analysis, 2007, 27(4): 739-741.

[陈春, 吴雨航, 刘志明等. ETM图像地物反射率光谱反 演. 光谱学与光谱分析, 2007, 27(4): 739-741.]

[14] Zhang Guokun, Chen Chun, Xing Fu et al. Spectral radiometric calibration research of QuickBird digital image. Spectroscopy and Spectral Analysis, 2008, 28(3): 494-498.

[张国坤, 陈春, 邢福等. QuickBird 数字遥感图像光谱辐射 定标. 光谱学与光谱分析, 2008, 28(3): 494-498.]

[15] Ye Qinghua, Tian Guoliang, Liu Gaohuan et al. Tupu methods of spatial-temporal pattern on land-use changes: A case study in the Yellow River Delta. Journal of Geographical Sciences, 2004, 14(2): 131-142.

[16] Ye Qinghua, Liu Gaohuan, Lu Zhou et al. Research of Tupu and land use/land cover change based on GIS. Progress in Geography, 2002, 21(4): 349-357.

[叶庆华, 刘高焕, 陆洲等. 基于GIS 的时空复合体: 土地利用图谱模型研究方 法. 地理科学进展, 2002, 21(4): 349-357.]

[17] Zhu Huiyi, Li Xiubin. Discussion on the index method of regional land use change. Acta Geographica Sinica, 2003, 58 (5): 643-650.

[朱会义, 李秀彬. 关于区域土地利用变化指数模型方法的讨论. 地理学报, 2003, 58(5): 643-650.]

[18] Liu Hongyu. Wetland Landscape Changes and Its Environmental Effects. Beijing: Science Press, 2004: 115-119.

[刘红 玉. 湿地景观变化与环境效应. 北京:科学出版社, 2004: 115-119.]

[19] Liu Shenghe, He Shujin. A spatial analysis model for measuring the rate of land use change. Journal of Natural Resources, 2002, 17(5): 533-540.

[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.]

[20] Chen Shupeng, Yue Tianxiang. Studies on geo-informatic Tupu and its application. Geographical Research, 2000, 19 (4): 337-343.

[陈述彭, 岳天祥. 地学信息图谱研究及其应用. 地理研究, 2000, 19(4): 337-343.]

文章导航

/