Vegetation response to 30 years hydropower cascade exploitation in upper stream of Yellow River.pdf

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Vegetation response to 30 years hydropower cascade exploitation in upper stream of Yellow River.pdf

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Vegetation response to 30 years hydropower cascade exploitation in upper stream of Yellow River

Commun Nonlinear Sci Numer Simulat 15 (2010) 1928–1941Contents lists available at ScienceDirect Commun Nonlinear Sci Numer Simulat journal homepage: www.elsevier .com/locate /cnsnsVegetation response to 30 years hydropower cascade exploitation in upper stream of Yellow River W. Ouyang a,b,*, F.H. Hao a, C. Zhao a, C. Lin c a School of Environment, State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China b International Institute for Geo-Information Science and Earth Observation (ITC), Hengelosestraat 99, P.O. Box 6, Enschede 7500 AA, The Netherlands cKey Laboratory of Agricultural Bio-Environmental Engineering Ministry of Agriculture, China Agricultural University, Beijing 100083, Chinaa r t i c l e i n f o Article history: Received 3 May 2009 Received in revised form 21 July 2009 Accepted 22 July 2009 Available online 28 July 2009 Keywords: Vegetation response survey Grassland degradation Hydropower cascade exploitation Yellow River basin1007-5704/$ - see front matter 2009 Published b doi:10.1016/sns.2009.07.021 * Corresponding author. Address: School of Envir 100875, China. E-mail addresses: wei@ (W. Ouyang),a b s t r a c t The accumulated response of vegetation successive dam constructions and operations is an important concern, but the systematic assessment of impacts induced by cascade hydro- power exploitation over long periods are seriously lacking. Using remote sensing data, the variations in grassland, the principal land cover in the upper catchment of the Yellow River, were investigated for eight dams constructed during the period 1977–2006. Two dif- ferent scales—watershed scale and on-site area—were used to compare the changes in grassland and water area. Correlation coefficients from regression analyses showed that grassland area had more significant interactions with hydropower exploitation indicators in on-site scale than in watershed scale. The hydropower exploitation indicators had a more complex corre