Dynamic Changes of Landscape Pattern in Coastal Urban Belt in Liaoning

Article Preview

Abstract:

Based on field investigation and social-economical data, in combination with the 1992 and 2007 Landsat TM remote sensing images of Coastal Urban Belt in Liaoning, this paper analyzed the dynamic changes of landscape pattern at both class and landscape levels and their driving forces in the study area. From 1992 to 2007, the landscape pattern in the study area experienced a significant change. At class level, the area of farmland, forestland, wetland, grassland, and abandoned land decreased, while the area of residential area, salt pan, and water area increased. At landscape level, both total number of patches and patch density increased significantly, while the largest patch index decreased, and the complication of landscape shape intensified.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 610-613)

Pages:

3765-3770

Citation:

Online since:

December 2012

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Weng, Q., 2002. Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. Journal of Environmental Management, 64(3): 273-284

DOI: 10.1006/jema.2001.0509

Google Scholar

[2] Wang, X., D. Zheng and Y. Shen, 2008. Land use change and its driving forces on the Tibetan Plateau during 1990-2000. Catena, 72(1): 56-66

DOI: 10.1016/j.catena.2007.04.003

Google Scholar

[3] Ho, S. P. S. and G. Lin, 2004. Converting land to nonagricultural use in China's coastal provinces. Modern China, 30(1): 81

DOI: 10.1177/0097700403259131

Google Scholar

[4] Turner, M. G., R. H. Gardner and R. V. O'Neill (2001). Landscape ecology in theory and practice: pattern and process, Springer Verlag

Google Scholar

[5] Wu, J., 2004. Effects of changing scale on landscape pattern analysis: scaling relations. Landscape Ecology, 19(2): 125-138

DOI: 10.1023/b:land.0000021711.40074.ae

Google Scholar

[6] Ehlers, M., M. JADKOWSKI, R. HOWARD, et al., 1990. Application of SPOT data for regional growth analysis and local planning. Photogrammetric Engineering and Remote Sensing, 56: 175-180

Google Scholar

[7] Weng, Q., 2001. A remote sensing-GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China. International Journal of Remote Sensing, 22(10): 1999-2014

DOI: 10.1080/01431160118847

Google Scholar

[8] Nagendra, H., D. K. Munroe and J. Southworth, 2004. From pattern to process: landscape fragmentation and the analysis of land use/land cover change. Agriculture, Ecosystems & Environment, 101(2-3): 111-115

DOI: 10.1016/j.agee.2003.09.003

Google Scholar

[9] Gao, J., Y. Liu and Y. Chen, 2006. Land cover changes during agrarian restructuring in Northeast China. Applied Geography, 26(3-4): 312-322

DOI: 10.1016/j.apgeog.2006.09.001

Google Scholar

[10] Huang, Q. H., Y. L. Cai and J. Peng, 2007. Modeling the spatial pattern of farmland using GIS and multiple logistic regression: a case study of Maotiao River Basin, Guizhou Province, China. Environmental Modeling and Assessment, 12(1): 55-61

DOI: 10.1007/s10666-006-9052-8

Google Scholar

[11] Moglen, G. E. and R. E. Beighley, 2002. SPATIALLY EXPLICIT HYDROLOGIC MODELING OF LAND USE CHANGE1. JAWRA Journal of the American Water Resources Association, 38(1): 241-252

DOI: 10.1111/j.1752-1688.2002.tb01548.x

Google Scholar

[12] Lambin, E. F., H. J. Geist and E. Lepers, 2003. Dynamics of land-use and land-cover change in tropical regions. Annual review of environment and resources, 28(1): 205-241

DOI: 10.1146/annurev.energy.28.050302.105459

Google Scholar

[13] Green, K., D. Kempka and L. Lackey, 1994. Using remote sensing to detect and monitor land-cover and land-use change. Photogrammetric Engineering and Remote Sensing, 60(3): 331-337

DOI: 10.14358/pers.69.4.369

Google Scholar

[14] O'neill, R., J. Krummel, R. Gardner, et al., 1988. Indices of landscape pattern. Landscape Ecology, 1(3): 153-162

Google Scholar

[15] Li, H. and J. Wu, 2004. Use and misuse of landscape indices. Landscape Ecology, 19(4): 389-399

DOI: 10.1023/b:land.0000030441.15628.d6

Google Scholar

[16] Antrop, M., 2000. Background concepts for integrated landscape analysis. Agriculture, Ecosystems & Environment, 77(1-2): 17-28

DOI: 10.1016/s0167-8809(99)00089-4

Google Scholar