Climate and Environmental Change

Land cover dynamic changes in northern China: 1989?2003

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  • 1. College of Geographical Science, Chongqing Normal University, Chongqing 400047, China|
    2. College of Resources and Environmental Science, Chongqing University, Chongqing 400044, China|
    3. College of Resources Science &|Technology, Beijing Normal University, Beijing 100875, China

Received date: 2007-07-09

  Revised date: 2007-10-19

  Online published: 2008-02-25

Supported by

Science & Technology Research Project of Chongqing Municipal Education Commission, No.KJ070811; Doctor Startup Fund of Chongqing Normal University, No. 06XLB004; National Basic Research Program of China, No.G2000018604

Abstract

The 13 provinces (autonomous regions and municipalities) in northern China are located in latitude 31°–54°N and longitude 73°–136°E including Beijing, Tianjin, Hebei, Shanxi, Inner Mongolia, Jilin, Liaoning, Heilongjiang, Shaanxi, Gansu, Ningxia, Qinghai, and Xinjiang, where environments are fragile. In recent years, the eco-environmental problems such as vegetation destruction, desertification and soil erosion etc. become serious because of climate change and unreasonable human activities. In this paper, landscape pattern and its evolution in northern China from 1989 to 2003 was investigated by the combined use of RS and GIS based on the basic theory and method of landscape ecology. Land use/cover maps of the study area in 1989, 1999 and 2003 were produced by using 1 km monthly NOAA Ad-vanced Very High Resolution Radiometer (AVHRR) and SPOT/VGT Normalized Difference Vegetation Index (NDVI) dataset from national climate bureau of China which were geo-registered to Lambert azimuthal equal-area map projection and were used in the paper. Landscape evolution in the area over the study period was investigated by two methods: (a) the changes of various landscape metrics were analyzed using the landscape structure analysis program FRAGSTATS; (b) the transition matrix of landscape patch types was cal-culated with the help of the RS and GIS software. The results showed that from 1989 to 2003, the landscape within the study area had undertaken a complicated evolution in landscape structure and composition. The diversity index and evenness index increased during the pe-riod, which means that the landscape pattern tended to be diversified and even. The fragmentation index of grassland, forestland and water areas also increased significantly. This showed that the distribution and structure of forestland, grassland and water areas had been changed greatly during the period, especially grassland which became more and more fragmentized, and its fragmentation index increased from 19.23% to 88.72%. The transitions of the landscape types were mainly shown by the changes among forestland, grassland and farmland, and grassland changing into unable land. Over the study period, grassland and water areas had decreased remarkably, accounting for 15% and 37% from 1989 to 1999 and 24.79% and 49.25% from 1999 to 2003 respectively. The grassland and water resources play an important role in the eco-environment and economic development of the region. So, they must be protected carefully. According to the analysis, we can conclude that the eco-environment in the study area is obviously degenerated due to unreasonable human activities and climate changes and some measures should be taken to combat the environ-mental degradation.

Cite this article

LI Yuechen . Land cover dynamic changes in northern China: 1989?2003[J]. Journal of Geographical Sciences, 2008 , 18(1) : 85 -94 . DOI: 10.1007/s11442-008-0085-6

References


[1] Austin M P, Smith T M, 1989. A new model for the continuum concept. Vegetation, 83: 35–47.

[2] Chen X Q, Tan Z J, Schwartz M D et al., 2000. Determining the growing season of land vegetation on the basis of plant phenology and satellite data in northern China. International Journal of Biometeorology, 44: 97–101.

[3] Chen Xiongwen, Zhang Xinshi, Li Bailian, 2005. Influence of Tibetan Plateau on vegetation distributions in East Asia: A modeling perspective. Ecological Modelling, 181: 79–86.

[4] Dennison P E, Roberts D A, 2003. The effects of vegetation phenology on endmember selection and species map-ping in southern California chaparral. Remote Sensing of Environment, 87: 295–309.

[5] Editorial Board of the Vegetation Atlas of China, Chinese Academy of Sciences, 2001. Vegetation Atlas of China 1:1,000,000. Beijing: Science Press. (in Chinese)

[6] Fang J Y, Chen A P, Peng C H et al., 2001. Changes in forest biomass carbon storage in China between 1949 and 1998. Science, 292: 2320–2322.

[7] Fang Jingyun, Piao Shilong, He Jinsheng et al., 2003. Increasing terrestrial vegetation activity in China, 1982–1999. Science in China (Series C), 33(6): 554–565. (in Chinese).

[8] Gao Zhiqiang, Liu Jiyuan, 2000. The study on driving factors and models of NDVI change based on remote sens-ing and GIS in China. Climatic and Environmental Research, 5(2): 155–164. (in Chinese)

[9] Grossman Y L, Ustin S L, Jacquemond S et al., 1996. Critique of stepwise linear regression for the extraction of leaf biochemistry information from leaf reflectance data. Remote Sensing of Environment, 56: 182–193.

[10] Hou Xueyu, 1988. Chinese Physical Geography?Phytogeography. Beijing: Science Press. (in Chinese)

[11] Lewis M M, 1998. Numeric classification as an aid to spectral mapping of vegetation communities. Plant Ecology, 136: 133–149.

[12] Li X R, Jia X H, Dong G R, 2006. Influence of desertification on vegetation pattern variations in the cold semi-arid grasslands of Qinghai-Tibet Plateau, Northwest China. Journal of Arid Environments, 64(3): 505–522.

[13] Liu Jiyuan, Zhuang Dafang, Ling Yangrong et al., 1998. Vegetation integrated classification and mapping using remote sensing and GIS technique in Northeast China. Journal of Remote Sensing, 2(4): 285–291. (in Chinese)

[14] Oppelt N, Mauser W, 2004. Hyperspectral monitoring of physiological parameters of wheat during a vegetation period using AVIS data. International Journal of Remote Sensing, 25: 145–159.

[15] Roberts D A, Green R O, Adams J B, 1997. Temporal and spatial patterns in vegetation and atmospheric proper-ties from AVIRIS. Remote Sensing of Environment, 62: 223–240.

[16] Shen Yuancun, Xiang Liping, 2001. The Physical Geography of Qinghai Province. Beijing: China Ocean Press. (in Chinese)

[17] Sun Hongyu, Wang Changyao, Niu Zheng et al., 1998. Analysis of the vegetation cover change and the relation-ship between NDVI and environmental factors by using NOAA time series data. Journal of Remote Sensing, 2(3): 205–210. (in Chinese)

[18] Wang Genxu, Ding Yongjian, Wang Jian et al., 2004. Land ecological changes and evolutional patterns in the source regions of the Yangtze and Yellow rivers in recent 15 years. Acta Geographica Sinica, 59(2): 163–173. (in Chinese)

[19] Wei Yaxing, Wang Liwen, Wang Yimou, 2004. Using TM to monitor the desertification in West China. Bulletin of Soil and Water Conservation, 24(4): 47–50. (in Chinese)

[20] Yang Jianping, Ding Yongjian, Chen Rensheng, 2005. NDVI reflection of alpine vegetation changes in the source regions of the Yangtze and Yellow Rivers. Acta Geographica Sinica, 60(3): 467–478. (in Chinese)

[21] Zhang Baiping, Wu Hongzhi et al., 2006. Integration of data on Chinese mountains into a digital altitudinal belts system. Mountain Research and Development, 26(2): 163–171.

[22] Zhang Jun, Ge Jianping, Guo Qingxi, 2001. The relation between the change of NDVI of the main vegetational types and the climatic factors in the northeast of China. Acta Ecologica Sinica, 21 (4): 523–524. (in Chinese)

[23] Zheng Jingyun, Ge Quansheng, Hao Zhixin, 2002. Climate change impacts on plant phenological changes in China in recent 40 years. Chinese Science Bulletin, 47(20): 1582–1587. (in Chinese)

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