Advertisement

Journal of Mountain Science

, Volume 11, Issue 3, pp 762–773 | Cite as

Land use and land cover change on slope in Qiandongnan prefecture of Southwest China

  • Liang Lu
  • Luo GuoEmail author
  • Song-ting Zhao
Article

Abstract

This study uses DEM (Digital Elevation Model) data and remote sensing maps of the study area in 1993, 1999, and 2009 to analyze the slope gradient change of land use patterns in Qiandongnan Prefecture, Guizhou province, China. The land use data were classified into five types, forest, farmland, grassland, water and built-up, the slope gradients were divided into four grades. Indices for analyzing land use features were defined by their proportions, transformation matrixes, land use degree and changes. The results showed that all land use types can be found at every gradient. Generally, with the slope degree increased, the area of forest being augmented as well, while the area of the other land use types (farmland, grassland and build-up) declined. Moreover, a mass of farmland were shifted from other land use types from 0° to 25°, while a quantity of forest were transformed from the other land use types on >25° from 1993 to 2009. In terms of land use degree and changes, the area of farmland and buildup land use types decreased when slope degree increased. Finally, we calculated the five landscape pattern metrics: Patch Density (PD) value, Largest Patch Index (LPI), Shannon’s Diversity Index (SHDI), Area-Weighted Mean Shape Index (AWMSI) and Contagion Index (CONTAG). The results of metrics analysis showed that PD values, SHDI values and CONTA values had a similar variation trend, that is, they decreased when slope degree increased. There was no obvious variation trend on LPI value.

Keywords

Land use Land cover change Spatial gradient slope Landscape metrics Qiandongnan prefecture 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Reference

  1. Aumtong S, Magid J (2006) Soil quality indicators and soil fertility of the top sequence as influenced by land use of complex slope soil in northern Thailand. In: Proceeding of an International symposium towards sustainable livelihoods and ecosystems in mountainous held in Chiang Mai, Thailand, 7–9 March 2006.Google Scholar
  2. Bai SB, Wang J, Lü GN, et al. (2010) GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China. Geomorphology 115: 23–31. DOI:10.1016/j.geomorph.2009.09.025CrossRefGoogle Scholar
  3. Buyinza M, Nabalegwa M (2011) Effect of slope position and land-use changes to bio-physical soil properties in Nakasongola Pastoral Rangeland Areas, Central Uganda. In: Soil Erosion Issues in Agriculture. InTech Publication 241–254.Google Scholar
  4. Dorofki M, Elshafie AH, Jaafar O (2011) A GIS-based survey for the optimization of infiltration forecasting models with emphasis on slope effect and land use. International Journal of the Physical Sciences 6(24): 5738–5751. DOI: 10.5897/IJPS11.1061Google Scholar
  5. Fu BJ, Zhang QJ, Chen LD, et al. (2006) Temporal change in land use and its relationship to slope degree and soil type in a small catchment on the Loess Plateau of China. Catena 65: 41–48. DOI:10.1016/j.catena.2005.07.005CrossRefGoogle Scholar
  6. Ismail, MH, Jusoff K (2008) Satellite data classification accuracy assessment based from reference dataset. International Journal of Computer and Information Engineering 2: 386–392.Google Scholar
  7. Liu JY (1996) Macro investigation and dynamic study of environmental remote sensing in China. Beijing: sciencetechnology press of China. (In Chinese)Google Scholar
  8. Lung T, Schaab, G (2010) A comparative assessment of land cover dynamics of three protected forest areas in tropical eastern Africa. Environmental Monitoring and Assessment 161: 531–548. DOI: 10.1007/s10661-009-0766-3CrossRefGoogle Scholar
  9. Ma ZZ, Zhou AX, Jiang XB, et al. (2003) Influences of altitude and slope on dynamical changes and status quo of land use/cover in Wushan County. Journal of Soil and Water Conservation 17(2): 107–109. (In Chinese) DOI: 1009-2242(2003)02-0107-03Google Scholar
  10. Moges A, Holden NM (2008) Soil fertility in relation to slope position and agricultural land use: a case study of Umbulo Catchment in Southern Ethiopia. Environmental Management 42:753–763. DOI 10.1007/s00267-008-9157-8CrossRefGoogle Scholar
  11. Nandi A, Shakoor A (2009) A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses. Engineering Geology 110: 11–20. DOI: 10.1016/j.enggeo.2009.10.001CrossRefGoogle Scholar
  12. Pierret A, Latchackak K, Chathanvongsa P (2007) Interactions between root growth, slope and soil detachment depending on land use: a case study in a small mountain catchment of Northern Laos. Plant Soil 301:51–64. DOI 10.1007/s11104-007-9413-3CrossRefGoogle Scholar
  13. Poudel KP (1996) Geographic information system based hillslope instability analysis for land-use planning perspective: the case of upper Madi Watershed Kaski, Nepal. Tribhuvan university journal XIX(2): 25–42.Google Scholar
  14. Shao H, Gao JE, Wang F, et al. (2011) The GIS assessment of changes in land use covers and hill slope conversion potential in the Loess Plateau. African Journal of Agricultural Research 6(18): 4199–4209.Google Scholar
  15. Silva AM, Nalon MA, Kronka FJN, et al. (2007) Historical landcover/use in different slope and riparian buffer zones in watersheds of the state of Sao Paulo, Brazil. Science of agriculture. (Piracicaba, Braz.) 64(4):325–335.CrossRefGoogle Scholar
  16. Wei YZ, Deng NR, Wu ZF, et al. (2008) Effects of topography on distribution and change of farmland in mountainous area of north Guangdong Province, China. Journal of Mountain Science 26(1):76–83. (In Chinese) DOI: 1008-2786-(2008)1-76-08Google Scholar
  17. Wang YC, Feng CC, Duc HV (2012) Integrating multi-sensor remote sensing data for land use/cover mapping in a tropical mountainous area in northern Thailand. Geographical Research 50(3):320–331. DOI: 10.1111/j.1745-5871.2011.00732.xCrossRefGoogle Scholar
  18. Zhang ZM, Sun CQ, Ou XK (2009) Mountain vegetation spatial pattern changes affected by slope land conservation program. Journal of Mountain Science 127(5): 513–523. (In Chinese) DOI:1008-2786-(2009)5-513-11Google Scholar
  19. Zhou, X. Wang, Y-C. (2011) Spatial-temporal dynamics of urban green space in response to rapid urbanization and greening policies. Landscape and Urban Planning 100(3): 268–277. DOI: 10.1016/j.landurban.2010.12.013CrossRefGoogle Scholar

Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.College of Life and Environmental ScienceMinzu University of ChinaBeijingChina
  2. 2.Geomatics Centre of ZhejiangHangzhouChina
  3. 3.Beijing Institute of Landscape ArchitectureBeijingChina

Personalised recommendations