Quantitative assessment of urban ecosystem services flow based on entropy theory: A case study of Beijing, China.

doi:10.13287/j.1001-9332.201803.017

Abstract

Abstract: Quantitative evaluation of ecosystem service is a primary premise for rational resources exploitation and sustainable development. Examining ecosystem services flow provides a scientific method to quantity ecosystem services. We built an assessment indicator system based on land cover/land use under the framework of four types of ecosystem services. The types of ecosystem services flow were reclassified. Using entropy theory, disorder degree and developing trend of indicators and urban ecosystem were quantitatively assessed. Beijing was chosen as the study area, and twenty-four indicators were selected for evaluation. The results showed that the entropy value of Beijing urban ecosystem during 2004 to 2015 was 0.794 and the entropy flow was -0.024, suggesting a large disordered degree and near verge of non-health. The system got maximum values for three times, while the mean annual variation of the system entropy value increased gradually in three periods, indicating that human activities had negative effects on urban ecosystem. Entropy flow reached minimum value in 2007, implying the environmental quality was the best in 2007. The determination coefficient for the fitting function of total permanent population in Beijing and urban ecosystem entropy flow was 0.921, indicating that urban ecosystem health was highly correlated with total permanent population.

Key words: ecosystem services, quantitative assessment, ecosystem services flow, urban ecosystem, entropy, population increase

LI Jing-xin, YANG Li, YANG Lei, ZHANG Chao, HUO Zhao-min, CHEN Min-hao, LUAN Xiao-feng. Quantitative assessment of urban ecosystem services flow based on entropy theory: A case study of Beijing, China.[J]. Chinese Journal of Applied Ecology, 2018, 29(3): 987-996.

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