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Integrating ecosystem services evaluation and landscape pattern analysis into urban planning based on scenario prediction and regression model

2018-09-15分类号:TU984.1;X823

【作者】Rongfang Lyu  Jianming Zhang  Mengqun Xu  
【部门】College of Earth and Environmental Sciences   The Key Laboratory of Western China's Environmental Systems   Ministry of Education (MOE)  Lanzhou University  
【摘要】Urban planning has become a widely concern for minimizing the negative effects of urban expansion on terrestrial ecosystems. We developed an interdisciplinary modeling framework to evaluate the effectiveness and shortcomings of urban expansion management strategies. A three-step method was applied to Yinchuan Plain in the northwestern of China, including(1)analyzing the relationship between landscape pattern and ecosystem service values through mathematical statistics;(2) predicting landscape pattern and ecosystem services change under different scenarios based on cellular automaton model(SLEUTH-3r model); and(3) designing and validating optimized scenario through integrating historical analysis experiments and future multi-comparison suggestions. Results have suggested that landscape composition and configuration can significantly affect regional ecosystem service values, especially the connectivity and shape of landscape. Compact urban growth policy and medium environment protection policy are the appropriate setting for urban expansion plan. Optimization validation of the combined designed scenario implied the reliability of this method. Our results highlighted the significance of integrating application of landscape pattern analysis, ecosystem service value evaluation,model simulation and multi-scenario prediction in urban planning.
【关键词】Urbanization  landscape pattern  ecosystem service values  SLEUTH-3r model  multi-scenario comparison
【基金】supported by the National Natural Science Foundation of China [Grant number 41371176];; the Fundamental Research Funds for the Central Universities[Grant number lzujbky_2017_it91]
【所属期刊栏目】Chinese Journal of Population,Resources and Environment
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