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REMOTE SENSING FOR LAND & RESOURCES    2010, Vol. 22 Issue (4) : 77-84     DOI: 10.6046/gtzyyg.2010.04.17
Technology Application |
Random and Systematic Land-use Transitions in Mountainous Area of Beijing
WEI Xian-hu 1,2, ZHANG Zeng-xiang 1, HU Shun-guang 1,2, LIU Fang 1,2
1. Remote Sensing Application Institute, Chinese Academy of Sciences, Beijing 100101, China; 2. Graduate School of Chinese Academy of Sciences, Beijing 100039, China
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Abstract  

As an important part of Beijing’s suburbs, the mountainous area of Beijing has both the characteristics of metropolitan suburbs and the features of mountains, and so its land use pattern is different from other areas. Based on statistics, the authors separated land-use transformations of the mountainous area of Beijing to random and systematic transitions through an in-depth analysis of land use transition matrix. A land-use transition is random if a land-use category gains from other categories in proportion to the availability of those other losing categories, or if a category loses to other categories in proportion to the size of those other gaining categories. Any large deviation from those proportions is referred to as a systematic transition. From the concurrent incidence of systematic gains and losses, it is concluded that the most dominant signals of change find expression in the following aspects: the conversion of higher coverage grassland and other woodland to cropland, the conversion of cropland and sparse woodland to other woodland, the conversion of sparse woodland to higher coverage grassland, the conversion of cropland and higher coverage grassland to water areas and the conversion of cropland to built-up areas. The transition areas from cropland to other woodland and built-up areas are relatively large and have obvious advantages for systematic transitions. While the areas of transitions from other woodland to cropland and from sparse woodland to higher coverage grassland are relatively small, the transitions are still attributed to dominant signals of change. This method is simple and practical and enables scientists to focus their research on the most important land transitions, which will help in linking patterns to processes and in management of land resources.

Keywords Dominant vegetation      Hyperspectral indexes      Spectral derivation      Absorbtion property     
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TP 79

 
  P 271

 
Issue Date: 02 August 2011
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WAN Yu-qing
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WAN Yu-qing,ZHANG Feng-li,YAN Yong-zhong. Random and Systematic Land-use Transitions in Mountainous Area of Beijing[J]. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(4): 77-84.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.04.17     OR     https://www.gtzyyg.com/EN/Y2010/V22/I4/77

[1]Turner Ⅱ B L, Skole D, Sanderson S, et al. Land Use and Land Cover Change Science/Research Plan [R]. IGBP Report 35 and HDP Report 7, Stochkholm:IGBP, 1995.

[2]刘纪远,刘明亮,庄大方,等.中国近期土地利用变化的空间格局分析[J]. 中国科学(D辑),2002,32(12)
:1031-1040.

[3]Vitousek P M, Mooney H A, Lubchenco J, et al. Human Domination of Earth’s Ecosystems [J]. Science, 1997, 277:494-499.

[4]Lambin E F. Modelling Deforestation Processes:a Review. TREES Publications Series B:Research Report 1 [R]. Office of Official Publications of European Community, Luxembourg, 1994.

[5]Nagendra H, Munroe D K, Southworth J. From Pattern to Process:Landscape Fragmentation and the Analysis of Land Use/land Cover Change Agriculture [J]. Ecosyst Environ, 2004, 101 (2/3):111-115.

[6]Mertens B, Lambin E F. Land-cover Change Trajectories in Southern Cameroon [J]. Ann Assoc Am Geogr, 2000, 90 (3):467-494.

[7]Mertens B, Sunderlin W D, Ndoye O, et al. Impact of Macroeconomic Change on Deforestation in South Cameroon:Integration of Household Survey and Remotely-sensed data [J]. World Dev, 2000, 28 (6):983-999.

[8]Petit C, Scudder T, Lambin E F. Quantifying Processes of Land Cover Change by Remote Sensing:Resettlement and Rapid Land-cover Changes in Southeastern Zambia [J]. Int J Remote Sens, 2001, 22 (17):3435-3456.

[9]Wear D, Bolstad P. Land-use Changes in Southern Appalachian Landscapes:Spatial Analysis and Forecast Evaluation [J]. Ecosystems, 1998(1):575-594.

[10]Geoghegan J, Villar S C, Klepeis P, et al. Modeling Tropical Deforestation in the Southern Yucatan Peninsular Region:Comparing Survey and Satellite Data [J]. Agric Ecosyst Environ, 2001, 85 (1-3):25-46.

[11]Chen J, Gong P, He C, et al. Assessment of the Urban Development Plan of Beijing by Using a CA-based Urban Growth Model Photogram [J]. Eng Remote Sensing, 2002, 68 (10):1063-1071.

[12]Tucker C J, Dregne H E, Newcomb W W. Expansion and Contraction of the Sahara Desert from 1980 to 1990 [J]. Science, 1991, 253:299-301.

[13]Lambin E F, Helmut J G, Lepers E. Dynamics of Land-use and Land-cover Change in Tropical Regions [J]. Annu Rev Environ Resour, 2003, 28:205-241.

[14]Barbier E B. Links Between Economic Liberalization and Rural Resource Degradation in the Developing Regions [J]. Agric Econ, 2000, 23 (3):299-310.

[15]Braimoh A K. Modeling Land-use Change in the Volta Basin of Ghana [M].Gottingen: Ecology and Development Series No 14. Cuvillier Publishers,2004.

[16]Robert G, Pontius Jr, Shusas E, et al. Detecting Important Categorical Land Changes While Accounting for Persistence [J]. Agric Ecosys Environ, 2004, 101 (2/3):251-268.

[17]Braimoh A K. Random and Systematic Land-cover Transitions in Northern Ghana [J]. Agriculture, Ecosystems and Environment, 2006, 113:254-263.

[18]宗跃光,周尚意,张振世,等.北京城郊化空间特征与发展对策[J].地理学报, 2002, 57(2):135-142.

[19]刘纪远,张增祥,庄大方,等.20世纪90年代中国土地利用变化的遥感时空信息研究[M].北京:科学出版社,2005.

[20]王鹏飞,鲁奇,傅桦.1980年以来北京农用地时空演变与驱动力[J].地理学报, 2005, 60(6):953-964.

[21]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.

[22]何春阳,史培军,陈晋,等.北京地区城市化过程与机制研究[J].地理学报, 2002, 57(3):363-371.

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