On the intensity and type transition of land use at the basin scale using RS/GIS: a case study of the Hanjiang River Basin

  • Guangming Yu
  • Qun Zeng
  • Shan Yang
  • Limei Hu
  • Xiaowei Lin
  • Yi Che
  • Yuge Zheng
Article

Abstract

The purpose of this study is to investigate the land use intensity and land use change type at the basin scale in the middle and lower reaches of the Hanjiang River Basin (in Hubei Province, China) by combining the Landsat TM images in 1995 and 2000 with the land use database (in scale 1:10,000) and relative data. In this study, the basic data is acquired from the interpretation of remote sensing (RS) images. The intensity of land use and the rate of change in double-directions of land use dynamics are calculated with the support of software ARC/INFO. The intensity of land use is indicated by the intensity coefficient of land use, and the transition of land use types is quantified as the rate of change in double-direction of land use types and also expressed as the transition matrix of land use types. The results are expressed in space by Geographic Information System (GIS) software. Results of this study show that (1) the intensity of land use is high in the study region, the intensity coefficients of land use in 1995 and 2000 are 260.025 and 290.526, respectively, and the intensity of development and utilization of land is trend to increscent; and (2) the rate of land use change in double directions in the whole study region is 0.52 with great spatial variation and the differentiation of land use types. In the differentiation of land use types, the unutilized land (with the rate to 4.391) is developed fast, the grassland (with 2.836) and water area (with 1.664) are disturbed severely, and these changes will influence the eco-environment in the Hanjiang River Basin and all the Yangtze Basin. The rates of the farmland and the woodland are 0.424 and 0.344, respectively, meaning that the fundamentals of regional human-environmental system are relative stable. With this study, we can conclude that (1) the patterns of land use are increasingly changing in the study region, the environmental impacts are escalated on this stage, and the further outcomes are destined to change the stability of the regional human–environmental system; and (2) the most useful method to study the present land use and its change is through the use of the RS/GIS with the land use database (in scale 1:10,000).

Keywords

Land use Land use structure Intensity coefficient Rate of change in double-directions RS/GIS 

Supplementary material

10661_2008_666_MOESM1_ESM.doc (7.2 mb)
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10661_2008_666_MOESM2_ESM.doc (6.2 mb)
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10661_2008_666_MOESM3_ESM.doc (3.4 mb)
(DOC 3.35 MB)

References

  1. Aguiar, A. P. D., Camara, G., & Sobral Escada, M. I. (2007). Spatial statistical analysis of land-use determinants in the Brazilian Amazonia: Exploring intra-regional heterogeneity. Ecological Modelling, 209, 169–188.CrossRefGoogle Scholar
  2. Bai, W., & Bai, S. (1999). The status and roles of land use and cover change in global change study. Area Research and Development, 18(4), 13–16.Google Scholar
  3. Braimoh, A. K., & Onishi, T. (2007). Geostatistical techniques for incorporating spatial correlation into land use change models. International Journal of Applied Earth Observation and Geoinformation, 9, 438–446.CrossRefGoogle Scholar
  4. Castella, J.-C., Kam, S. P., Quang, D. D., Verburg, P. H., & Hoanh, C. T. (2007). Combining top-down and bottom-up modelling approaches of land use/cover change to support public policies: Application to sustainable management of natural resources in northern Vietnam. Land Use Policy, 24, 531–545.CrossRefGoogle Scholar
  5. Cebecauer, T., & Hofierka, J. (2008). The consequences of land-cover changes on soil erosion distribution in Slovakia. Geomorphology, 98, 187–198. doi:10.1016/j.geomorph.2006.12.035.CrossRefGoogle Scholar
  6. Chen, B., Liu, X., & Yang, H. (2003). Review of most recent progresses of study on land use and land cover change. Progress in Geography, 22(1), 22–29.Google Scholar
  7. Deng, K., Liu, Y., & Zhao, T. (2003). Study on the land-use change and its spatial distribution: A case study in Ankang District. Resources and Environment in the Yangtze Basin, 12(6), 522–528.Google Scholar
  8. Gao, Z., Liu, J., & Zhuang, D. (1999). The research of chinese land use/land cover present situations. Journal of Remote Sensing, 3(2), 134–138.Google Scholar
  9. Heyer, W., Hülsbergen, K.-J., Wittmann, Ch., Papaja, S., & Christen, O. (2003). Field related organisms as possible indicators for evaluation of land use intensity. Agriculture, Ecosystems and Environment, 98, 453–461.CrossRefGoogle Scholar
  10. Hietel, E., Waldhardt, R., & Otte, A. (2004). Analysing land-cover changes in relation to environmental variables in Hesse, Germany. Landscape Ecology, 19, 473–489.CrossRefGoogle Scholar
  11. Hietel, E., Waldhardt, R., & Otte, A. (2007). Statistical modeling of land-cover changes based on key socio-economic indicators. Ecological Economics, 62, 496–507.CrossRefGoogle Scholar
  12. Huang, Q., & Cai, Y. (2007). Simulation of land use change using GIS-based stochastic model: The case study of Shiqian County, Southwestern China. Stochastic Environmental Research and Risk Assessment, 21, 419–426.CrossRefGoogle Scholar
  13. Jansen, L. J. M., et al. (2008). Analysis of land-cover/use change dynamics in Manica Province in Mozambique in a period of transition (1990–2004). Forest Ecology and Management, 254, 308–326. doi:10.1016/j.foreco.2007.08.017.CrossRefGoogle Scholar
  14. Kerr, J. T., & Cihlar, J. (2003). Land use and cover with intensity of agriculture for Canada from satellite and census data. Global Ecology & Biogeography, 12, 161–172.CrossRefGoogle Scholar
  15. Lambin, E. F., Rounsevell, M. D. A., & Geist, H. J. (2000). Are agricultural land-use models able to predict changes in land-use intensity? Agriculture, Ecosystems and Environment, 82, 321–331.CrossRefGoogle Scholar
  16. Lepers, E., Lambin, E. F., et al. (2005). A synthesis of information on rapid land-cover change for the period 1981–2000. Bioscience, 55(2), 115–124.CrossRefGoogle Scholar
  17. Leyk, S., Boesch, R., & Weibel, R. (2005). A conceptual framework for uncertainty investigation in map-based land cover change modelling. Transactions in GIS, 9(3), 291–322.CrossRefGoogle Scholar
  18. Liu, S. (2002). Land cover change and its environmental effects. Beijing: Global Press.Google Scholar
  19. Liu, X. H., & Andersson, C. (2004). Assessing the impact of temporal dynamics on land-use change modeling. Computers, Environment and Urban Systems, 28, 107–124.CrossRefGoogle Scholar
  20. Mota, G. L. A., Feitosa, R. Q., Coutinho, H. L. C., Liedtke, C.-E., Müller, S., Pakzad, K., et al. (2007). Multitemporal fuzzy classification model based on class transition possibilities. ISPRS Journal of Photogrammetry & Remote Sensing, 62, 186–200.CrossRefGoogle Scholar
  21. Mottet, A., Ladet, S., Coque, N., & Gibon, A. (2006). Agricultural land-use change and its drivers in mountain landscapes: A case study in the Pyrenees. Agriculture, Ecosystems and Environment, 114, 296–310.CrossRefGoogle Scholar
  22. Niehoff, D., Fritsch, U., & Bronstert, A. (2002). Land-use impacts on storm-runoff generation: scenarios of land-use change and simulation of hydrological response in a meso-scale catchment in SW-Germany. Journal of Hydrology, 267, 80–93.CrossRefGoogle Scholar
  23. Parker, D. C., et al. (2008). Complexity, land-use modeling, and the human dimension: Fundamental challenges for mapping unknown outcome spaces. Geoforum, 39, 789–804. doi:10.1016/j.geoforum.2007.05.005.CrossRefGoogle Scholar
  24. Rao, K. S., & Pant, R. (2001). Land use dynamics and landscape change pattern in a typical micro watershed in the mid elevation zone of central Himalaya, India. Agriculture, Ecosystems and Environment, 86, 113–123.CrossRefGoogle Scholar
  25. Rasul, G., Thapa, G. B., & Zoebisch, M. A. (2004). Determinants of land-use changes in the Chittagong Hill Tracts of Bangladesh. Applied Geography, 24, 217–240.CrossRefGoogle Scholar
  26. Reid, R. S., Kruska, R. L., Muthui, N., et al. (2000). Land-use and land-cover dynamics in response to changes in climatic, biological and socio-political forces: The case of southwestern Ethiopia. Landscape Ecology, 15, 339–355.CrossRefGoogle Scholar
  27. Semwal, R. L., Nautiyal, S., Sen, K. K., Rana, U., Maikhuri, R. K., & Rao, K. S. (2004). Patterns and ecological implications of agricultural land-use changes: A case study from central Himalaya, India. Agriculture, Ecosystems and Environment, 102, 81–92.CrossRefGoogle Scholar
  28. van Diggelen, R., Sijtsma, F. J., Strijker, D., & van den Burg, J. (2005). Relating land-use intensity and biodiversity at the regional scale. Basic and Applied Ecology, 6, 145–159.CrossRefGoogle Scholar
  29. Walker, R. T., Solecki, W. D., & Harwell, C. (1997). Land use dynamics and ecological transition: The case of South Florida. Urban Ecosystems, 1, 37–47.CrossRefGoogle Scholar
  30. Wang, X., & Bao, S. (1999). Study on the methods of land use dynamic change research. Progress in Geography, 18(1), 81–87.Google Scholar
  31. Weber, A., Fohrer, N., & Moller, D. (2001). Long-term land use changes in a mesoscale watershed due to socio-economic factors—effects on landscape structures and functions. Ecological Modelling, 140, 125–140.CrossRefGoogle Scholar
  32. Weinstoerffer, J., & Girardin, P. (2000). Assessment of the contribution of land use pattern and intensity to landscape quality: Use of a landscape indicator. Ecological Modelling, 130, 95–109.CrossRefGoogle Scholar
  33. Zeidler, J., Hanrahan, S., & Scholes, M. (2002). Land-use intensity affects range condition in arid to semi-arid Namibia. Journal of Arid Environments, 52, 389–403.CrossRefGoogle Scholar
  34. Zhang, J. (2003). Study on change detection framework of land use and land cover by remote sensing. China Land Science, 17(4), 31–36.Google Scholar
  35. Zhang, Y., Yan, J., Liu, L., Bai, W., Li, S., & Zheng, D. (2002). Impact of Qinghai-Xizang highway on land use and landscape pattern change: From Golmud to Tanggulashan Pass. Acta Geographica Sinica, 53(3), 253–266.Google Scholar
  36. Zhu, H., & Li, X. (2003). Discussion on the index method of regional land use change. Acta Geographica Sinica, 58(5), 643–650.Google Scholar
  37. Zhuang, D., & Liu, J. (1997). Study on the model of regional differentiation of land use degree in China. Journal of Natural Resources, 12(2), 105–111.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  • Guangming Yu
    • 1
  • Qun Zeng
    • 1
  • Shan Yang
    • 1
  • Limei Hu
    • 1
  • Xiaowei Lin
    • 1
  • Yi Che
    • 1
  • Yuge Zheng
    • 1
  1. 1.College of Urban and Environmental SciencesCentral China Normal UniversityWuhanChina

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