Fractal Study of Land Use Change in the Tailan River Basin, Xinjiang, China

Article Preview

Abstract:

Based on the land use data observed over the Tailan River Basin (TRB) during the years 1990, 2000, 2005 and 2008, fractal theory is adopted and applied to expound spatial distribution characteristics and variation law of land use change in the arid inland TRB, Xinjiang, China. The results demonstrate spatial fractal characteristics in all land use types. The analysis indicate that the fractal dimensions of different land use types in the TRB are in the order of waters > industrial, mining and residential areas > farmlands > grasslands > unused lands > woodlands in 1990, and in the order of waters > industrial, mining and residential areas > grasslands > farmlands > woodlands > unused lands in 2000, and in the order of waters > industrial, mining and residential areas > grasslands > woodlands > farmlands >unused lands in 2005, and in the order of waters > industrial, mining and residential areas > grasslands > unused lands > woodlands > farmlands in 2008. The fractal dimension values of land use in the TRB in 1990, 2000, 2005 and 2008 are calculated as 1.5993, 1.5986, 1.6079 and 1.6348 respectively. Fractal dimension of land use in the basin is decreased at first then increased, the spatial structure of land used exhibit complex trend, while the land use types show an increase trend. The stability indexes of spatial structure of land use in the TRB in 1990, 2000, 2005 and 2008 are 0.1720, 0.1563, 0.1435 and 0.1428 respectively. These values suggest that the stability of the spatial structure of land use in the basin is gradually decreased.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 955-959)

Pages:

3968-3973

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] J.A. Foley, R. Defries, G.P. Asner, C. Barford, G. Bonan, S.R. Carpenter, F.S. Chapin, M.T. Coe, G.C. Daily, H.K. Gibbs, J.H. Helkowski, T. Holloway, E.A. Howard, C.J. Kucharik, C. Monfreda, J.A. Patz, I.C. Prentice, N. Ramankutty, and P.K. Snyder: Science. Vol. 309(2005).

DOI: 10.1126/science.1111772

Google Scholar

[2] S.N. Gillanders, N.C. Coops, N.A. Wulder, S.E. Gergel, and T. Nelson: Progress in Physical Geography. Vol. 32(2008). P. 505.

Google Scholar

[3] P.H. Verburg, J. R.R. van Eck, T.C.M. de Nijs, M.J. Dijst, and P. Schot : Environ. Plan. B: Plan. Design. Vol. 31(2004). P. 127.

Google Scholar

[4] E. F. Lambin. In: LUCC International Project Office. LUCC Newsletter No. 8. (Spain: Institut Cartogràfic de Catalunya 2002).

Google Scholar

[5] J.L. Li, Q. Feng, and Q.L. Guo: Environ Geol. Vol. 55(2008). P. 1390.

Google Scholar

[6] Y. Zhang, J. Yu, and W. Fan: Geo-spatial Information Science. Vol. 11(2008). P. 121.

Google Scholar

[7] X.H. LIU, X.G. LU, and G.H. DONG: Scientia Geographica Sinica. Vol. 28(2008). P. 766.

Google Scholar