Temporal and spatial changes of residential land in the Yuyang desert region of northern Shaanxi Province in recent 20 years

Xiangsheng YI, Yanyu YIN, Yaojie YUE

Front. Earth Sci. ›› 0

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Front. Earth Sci. ›› DOI: 10.1007/s11707-012-0308-0
RESEARCH ARTICLE
RESEARCH ARTICLE

Temporal and spatial changes of residential land in the Yuyang desert region of northern Shaanxi Province in recent 20 years

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Abstract

It is very important to understand the temporal and spatial changes of residential land for the improvement of human settlement environment. Based on the three TM images of 1986, 1996 and 2005 and other assistant maps, the temporal and spatial characteristics of residential land in the Yuyang desert region of northern Shaanxi Province of China were analyzed by using geographical information system (GIS) and remote sensing (RS) technology. Some important conclusions were obtained, which mainly contained four aspects as follows. 1) The area of residential land in the Yuyang desert region increased 956.07 hm2 in total, and the changes of residential land among the townships were different with four various change trends. The expansion speeds in the Yuyang Township and Qinhe Township were the biggest from 1986 to 1996 and from 1996 to 2005, respectively. The expansion intensities in other townships were below 0.1%, except the Yuyang Township. 2) The number of residential land patches increased 2847, while the average area and perimeter of residential land patches decreased 0.304 hm2 and 60.78 m during 1986–2005, respectively. The residential land patches also displayed four different changes from 1986 to 2005 among the townships. 3) The residential land mainly distributed in the middle of Yuyang Township and Mahe Township, and the interface of Jinjitan Township and Mengjiawan Township. The total spatial pattern of residential land was relative stability, but the significant changes of residential land were found in the Yuyang Township and its vicinities during 1986–2005. 4) Three distribution patterns of residential land at the micro scale were categorized from the 100 typical villages in the study area. The number of villages in the pattern 1 increased, while the pattern 2 and pattern 3 decreased in recent 20 years, which implicated the adaptation of humans to the habitation environment. This research would provide scientific references for harmonizing the human-land relationship, optimizing the residential land spatial distribution patterns and constructing the well human settlement environment in the desert regions.

Keywords

residential land / temporal change / spatial pattern / Yuyang desert region

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Xiangsheng YI, Yanyu YIN, Yaojie YUE. Temporal and spatial changes of residential land in the Yuyang desert region of northern Shaanxi Province in recent 20 years. Front Earth Sci, https://doi.org/10.1007/s11707-012-0308-0

References

[1]
Bi X L, Wang H, Ge J P (2010). The changes of densities and patterns of roads and rural buildings: a case study on Dongzhi Yuan of the Loess Plateau, China. Environ Monit Assess, 164(1-4): 549-560
CrossRef Pubmed Google scholar
[2]
Brueckner J K, Largey A G (2008). Social interaction and urban sprawl. J Urban Econ, 64(1): 18-34
CrossRef Google scholar
[3]
Chu J L, Xu J G, Gao S (2007). Spatio-temporal characteristics of residential land growth in Hefei of Anhui Province, China. Chin Geogr Sci, 17(2): 135-142
CrossRef Google scholar
[4]
Deng N R, Zhang J Q, Feng Q Y, Chen J, Wei S Q (2009). Landscape pattern changes of rural residential areas in economically developed coastal areas of southeast China. Ecology and Environmental Sciences, 18(3): 984-989 (in Chinese)
[5]
Fan J, Lv X (2002). The core research domain of regional system of man-land relationship-land use changes. Earth Science Frontiers, 9 (4): 429-430 (in Chinese)
[6]
Guan W, Wang X (2009). Human dimensions of land use change in Dalian. Geographical Research, 28(4): 990-1000 (in Chinese)
[7]
Hammer R B, Stewart S I, Winkler R L, Radeloff V C, Voss P R (2004). Characterizing dynamic spatial and temporal residential density patterns from 1940-1990 across the North Central United States. Landsc Urban Plan, 69(2-3): 183-199
CrossRef Google scholar
[8]
Han M L, Zhang Y, Fang C, Zhao Y H (2008). Location and environment of the settlements and man-land relationship in west Liaohe River basin since Holocene. Geographical Research, 27(5): 1118-1128 (in Chinese)
[9]
Hu K, Mo D W, Mao L J, Cao W, Wang W L (2010). Temporal and spatial distribution of the Yangshao age to west Zhou Dynasty’s settlement sites in the Yulin area and human-earth relationships. Quaternary Sciences, 30(2): 344-355 (in Chinese)
[10]
Hu X H, Yang G Q, Zhang X, Qiu J (2007). The change of land use for rural residency and the driving forces: a case study in Xiantao City, Hubei Province. Resources Science, 29(3): 191-197 (in Chinese)
[11]
Ji C Y, Liu Q H, Sun D F, Wang S, Lin P, Li X W (2001). Monitoring urban expansion with remote sensing in China. Int J Remote Sens, 22(8): 1441-1455
[12]
Kuang W H, Zhang S W, Zhang Y Z, Sheng Y (2005). Analysis of urban land utilization spatial expansion mechanism in Changchun city since 1900. Acta Geogr Sin, 60(5): 841-850 (in Chinese)
[13]
Li D Y, Zhang A D, Zhang S W (2008). Characteristics and driving forces analysis of residential area expansion in the North of Shangdong peninsula coastal area. Journal of Natural Resources, 23(4): 612-618 (in Chinese)
[14]
Li X, Yeh A G O (1998). Principal component analysis of stacked multi-temporal images for the monitoring of rapid urban expansion in the Pearl River Delta. Int J Remote Sens, 19(8): 1501-1518
[15]
Liu J Y, Deng X Z (2010). Progress of the research methodologies on temporal and spatial process of LUCC. Chin Sci Bull, 55(14): 1354-1362
[16]
Liu J Y, Zhan J Y, Deng X Z (2005). Spatio-temporal patterns and driving forces of urban land expansion in China during the economic reform era. Ambio, 34(6): 450-455
Pubmed
[17]
Masek J G, Lindsay F E, Goward S N (2000). Dynamics of urban growth in the Washington DC metropolitan area, 1973-1996, from Landsat observations. Int J Remote Sens, 21(18): 3473-3486
CrossRef Google scholar
[18]
Mo H W, Ren Z Y, Wang Q X (2008). Images analysis of land use change and its eco-environmental effects in wind drift sand region-a case study on Yuyang district of the northern Shaanxi province. Scientia Geographica Sinica, 28(6): 770-775 (in Chinese)
[19]
Petit C, Scudder T, Lambin E (2001). Quantifying processes of land-cover change by remote sensing: resettlement and rapid land-cover changes in south-eastern Zambia. Int J Remote Sens, 22(17): 3435-3456
CrossRef Google scholar
[20]
Tian G J, Liu J Y, Xie Y C, Yang Z F, Zhuang D F, Niu Z (2005). Analysis of spatio-temporal dynamic pattern and driving forces of urban land in China in 1990’s using TM images and GIS. Cites, 22(6): 400-410
[21]
Visser P, van Dam F, Hooimeijer P (2008). Residential environment and spatial variation in house prices in the Netherlands. Tijdschr Econ Soc Geogr, 99(3): 348-360
CrossRef Google scholar
[22]
Waddell P (2002). Modeling urban development for land use, transportation, and environmental planning. J Am Plann Assoc, 68(3): 297-314
CrossRef Google scholar
[23]
Xiao J Y, Shen Y J, Ge J F, Tateishi R, Tang C Y, Liang Y Q, Huang Z Y (2006). Evaluating urban expansion and land use change in Shijiazhuang, China, by using GIS and remote sensing. Landscape and Urban Plan, 75: 69-80
[24]
Yi X S, Wang J A, Yue Y J (2008). LUCC and land use pattern based on a functional desert land classification system: a case study for Yuyang desert in northern Shaanxi. Journal of Beijing Normal University (Natural Science), 44(4): 439-443 (in Chinese)
[25]
Yin H W, Kong F H, Zhang X (2011). Changes of residential land density and spatial pattern from 1989 to 2004 in Jinan City, China. Chin Geogr Sci, 21(5): 619-628
CrossRef Google scholar
[26]
Zhou W, Cao Y G, Wang J, Yuan C (2011). Analysis on pattern changes and traits of rural residential areas during 30 years in Three Gorges Reservoir Area. Transactions of the CSAE, 27(4): 294-300 (in Chinese)

Acknowledgements

This study was supported by the National Key Basic Research Program of China (No. 2012CB955403), the National Technical Research & Develop Program of China (No. 2006BAD26B03) and the Excellent Ph.D. Thesis Fund of Beijing Normal University. The authors gratefully thank two anonymous reviews for their valuable comments and advice on this manuscript.

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2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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