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Modeling the Driving Forces of the Land Use and Land Cover Changes Along the Upper Yangtze River

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An Integrated Assessment of China's Ecological Restoration Programs

Abstract

Induced by high population density, rapid but uneven economic growth, and long-time resource exploitation, China's upper Yangtze basin has witnessed remarkable changes in land uses and covers, which have resulted in severe environmental consequences, such as flooding, soil erosion, and habitat loss. This paper examines the causes of the land use and land cover changes (LUCC) along the Jinsha River, one primary section of the upper Yangtze, aiming to better understand the human impact on the dynamic LUCC process and to provide necessary policy actions for sustainable land use and environmental protection. Using a panel dataset covering 31 counties over four time periods from 1975 to 2000, the study develops a fractional logit model to empirically determine the effects of socioeconomic and institutional factors on changes for cropland, forestland, and grassland. It is shown that population expansion, food self-sufficiency, and better market access drove cropland expansion, while industrial development contributed significantly to the increase of forestland and the decrease of other land uses. Similarly, stable tenure had a positive effect on forest protection. Moreover, past land use decisions were less significantly influenced by the distorted market signals. The policy implications of these findings and future directions of research are also discussed.

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Notes

  1. 1.

    The Chinese government initially defined the poverty line as per capita income below 200 yuan in 1985. Based on inflation and other considerations, the figure has been adjusted upwards over time, reaching 1067 yuan in 2007 (China State Statistics Bureau 2008). A national poverty county is declared if a majority, but not necessarily all, of the local population lives below the poverty line.

  2. 2.

    Elevation will not be listed in the summary statistics of variables because it is a time-constant variable. It ranges from 295 meters (m) to 6109 m for the study region, with a mean of 3070 m.

References

  • Ahn, S., Plantinga, A. J., & Alig, R. J. (2000). Predicting future forestland area: A comparison of econometric approaches. Forest Sciences, 46(3), 363–376.

    Google Scholar 

  • China State Statistics Bureau. (2008). China Statistics Yearbook. Beijing: China Statistics Press.

    Google Scholar 

  • Chomitz, K. M., & Gray, D. A. (1996). Roads, land use, and deforestation: A spatial model applied to Belize. World Bank Economic Review, 10(3), 487–512.

    Google Scholar 

  • Conservation International. (2002). Biodiversity hotspots. Retrieved from http://www.biodiversityhotspots.org/xp/hotspots/China

  • Du, S. F. (2001). Environmental economics. Beijing: Encyclopedia Press.

    Google Scholar 

  • Fischer, G., & Sun, L. X. (2001). Model based analysis of future land-use development in China. Agriculture, Ecosystems and Environment, 85, 163–176.

    Article  Google Scholar 

  • Geoghegan, J., Villar, S. C., Klepeis, P., Mendoza, P. M., Himmelberger, Y. O., Chowdhury, R. R., et al. (2001). Modeling tropical deforestation in the southern Yucatán Peninsular region: Comparing survey and satellite data. Agriculture, Ecosystems and Environment, 85, 25–46.

    Article  Google Scholar 

  • Ji, C. Y., Liu, Q., Sun, D., Wang, S., Lin, P., & Li, X. (2001). Monitoring urban expansion with remote sensing in China. International Journal of Geographical Information System, 22(8), 1441–1455.

    Google Scholar 

  • Kaimowitz, D., & Angelsen, A. (1998). Economic models of tropical deforestation: A review. Bogor, Indonesia: Center for International Forestry Research.

    Google Scholar 

  • Li, X., Peterson, J. A., Liu, G., & Qian, L. (2001). Assessing regional sustainability: The case of land use and land cover change in the Middle Yiluo Catchment of the Yellow River Basin, China. Applied Geography, 21, 87–106.

    Article  Google Scholar 

  • Liu, J. Y., Liu, M. L., Zhuang, D. F., Zhang, Z. X., & Deng, X. Z. (2003). Study on spatial pattern of land-use change in China during 1995–2000. Science in China (Series D), 46(4), 373–384.

    Google Scholar 

  • Loucks, C. J., Lü, Z., Dinerstein, E., Wang, H., Olson, D. M., Zhu, C. Q., et al. (2001). Giant pandas in a changing landscape. Science, 294, 1465.

    Article  PubMed  CAS  Google Scholar 

  • Lu, X. X. (2005). Spatial variability and temporal change of water discharge and sediment flux in the lower Jinsha tributary: impact of environmental changes. River Research and Applications, 21(2–3), 229–243.

    Article  Google Scholar 

  • McCracken, S. D., Brondizio, E. S., Nelson, D., Moran, E. F., Siqueira, A. D., & Rodriguez-Pedraza, C. (1999). Remote sensing and GIS at farm property level: Demography an deforestation in the Brazilian Amazon. Photogrammetric Engineering and Remote Sensing, 65(11), 1311–1320.

    Google Scholar 

  • Mertens, B., Sunderlin, W. D., Ndoye, O., & Lambin, E. F. (2000). Impact of macroeconomic change on deforestation in South Cameroon: Integration of household survey and remotely sensed data. World Development, 28(6), 983–999.

    Article  Google Scholar 

  • Miller, J. D., O., & Plantinga, J. A. (1999). Modeling land use decision with aggregated data. American Journal of Agricultural Economics, 81, 180–194.

    Article  Google Scholar 

  • Müller, D., & Zeller, M. (2002). Land use dynamics in the central highlands of Vietnam: A spatial model combining village survey data with satellite imagery interpretation. Agricultural Economics, 27, 333–354.

    Google Scholar 

  • Munroe, D. K., & York, A. M. (2003). Jobs, houses and trees: Changing regional structure, local land-use patterns, and forest cover in Southern Indiana. Growth and Change, 34(3), 299–320.

    Article  Google Scholar 

  • Pan, J. G. (1999). The characteristics of water runoff and suspended sediment along the Jinsha River. Journal of Sediment Research, 2, 19–24.

    Google Scholar 

  • Plantinga, A. J. (1996). The effects of agricultural policies on land use and environmental quality. American Journal of Agricultural Economics, 78, 1082–1091.

    Article  Google Scholar 

  • Ruttan, V. W. (2001). Technology, growth, and development: An induced innovation perspective. Oxford, UK: Oxford University Press.

    Google Scholar 

  • Sichuan Statistics Yearbook. (2003). Chengdu, China: Sichuan Statistics Press.

    Google Scholar 

  • Turner II, B. L., Lambin, E. F., & Reenberg, A. (2007). The emergence of land change science for global environmental change and sustainability. PNAS, 104(52), 20666–20671.

    Article  PubMed  CAS  Google Scholar 

  • Turner II, B. L., Meyer, B. W., & Skole, D. L. (1994). Global land use/land cover change: towards an integrated study. AMBIO, 23(1), 91–94.

    Google Scholar 

  • USGCRP. (2004). Land use/land cover change: USGCRP program element. Retrieved from http://www.usgcrp.gov/usgcrp/ProgramElements/land.htm.

  • Verburg, P. H., Veldkamp, W. S. A., Espaldon, R. L. V., & Mastura, S. S. A. (2002). Modeling the spatial dynamics of regional land use: the CLUE-S model. Environmental Management, 30(3), 391–405.

    Article  PubMed  Google Scholar 

  • Wang, X. T. (2003). Building an ecological shield along the Upper Yangtze river: Priorities and measures. Beijing: China Agriculture Publishing House.

    Google Scholar 

  • Wooldridge, J. M. (2002). Econometric analysis of cross section and panel data. Cambridge, MA: The MIT Press.

    Google Scholar 

  • Xu, J. T., Katsigris, E., & White, A. (Eds.). (2002). Implementing the natural forest protection program and the sloping land conversion program: Lessons and policy recommendations. Beijing, China: China Forestry Press.

    Google Scholar 

  • Xu, J., Yin, R. S., Li, Z., & Liu, C. (2007). China's ecological rehabilitation: Progress and challenges. Ecological Economics, 57(4), 595–607.

    Article  Google Scholar 

  • Yeh, A. G., & Li, X. (1998). Suitable land development model for rapid growth areas Using GIS. International Journal of Geographical Information System, 12(2), 169–189.

    Article  Google Scholar 

  • Yin, H., & Li, C. (2001). Human impact on floods and flood disasters on the Yangtze River, Geomorphology, 41(2–3), 105–109.

    Article  Google Scholar 

  • Yunnan Statistics Yearbook. (2003). Kunming, China: Yunnan Statistics Press.

    Google Scholar 

  • Zhang, X., Mount, T. D., & Boisvert, R. N. (2003). Industrialization, urbanization and land use in China. IFPRI, Environment and Production Technology Division (Discussion Paper No. 58).

    Google Scholar 

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Correspondence to Qing Xiang .

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Xiang, Q., Yin, R., Xu, J., Deng, X. (2009). Modeling the Driving Forces of the Land Use and Land Cover Changes Along the Upper Yangtze River. In: Yin, R. (eds) An Integrated Assessment of China's Ecological Restoration Programs. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2655-2_5

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