Social, economic, and ecological impacts of the "Grain for Green" project in China: a preliminary case in Zhangye, Northwest China.
This paper provides applications of the integrated assessment (IA) approach in a case study in the Heihe River Basin of Northwest China. Some socio-economic and ecological impact results of forestry land use scenarios are presented in the paper. While seven types of land use scenarios for carbon sequestration purposes were considered for the IA applications, this paper mainly presents impacts of land use scenarios within the Grain for Green (GFG) category [see Yin et al., this volume]. China's national Grain for Green Project was implemented in order to protect and improve ecosystems, while allowing an evolution of agricultural management practices compatible with raising peasants' incomes. Zhangye Prefecture, located in the Heihe River Basin of an arid area in Northwest China, was chosen as the investigation site of the IA case study. Based on fundamental orientation theory, the social sustainability impacts of GFG land use options were assessed. Between 2002 and 2004, the GFG project brought US$23.56 million yuan in net income to the prefecture's peasants. Project implementation resulted in a 1.71 Gg increase in net primary productivity (NPP), as well as a 44.36 Gg rise in net ecosystem productivity (NEP). This suggested that, in Zhangye Prefecture, the Grain for Green Project could enhance the sustainability and stability of the local society, increase peasants' net income, as well as protect and remediate local ecosystems.
Peng
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State Key Laboratory of Frozen Soil Engineering, Cold and Arid Regions Environment and Engineering Research Institute, Chinese Academy of Science, Lanzhou 730000, China. pengden@163.com
Cheng
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G
Xu
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Yin
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Y
Xu
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D000383:Agriculture / Q000191:economics / Q000379:methods; D002681:China; D003247:Conservation of Natural Resources / Q000191:economics / Q000379:methods; D003625:Data Collection; D017753:Ecosystem; D004784:Environmental Monitoring; D005191:Family Characteristics; D016468:Forestry / Q000191:economics / Q000379:methods; D005843:Geography; D006801:Humans; D007182:Income; D008954:Models, Biological; D045483:Rivers / Q000737:chemistry; D012931:Social Environment; D013997:Time Factors