Welcome to Chinese Journal of Ecology! Today is Share:

cje

• Articles • Previous Articles     Next Articles

Dynamic evaluation on ecosystem service value of Chongqing City.

DU Jia-qiang1,2;WANG Jin-sheng1,2;TENG Yan-guo1,2;ZHANG Tong3   

  1. 1College of Water Science, Beijing Normal University, Beijing 100
    875, China;2Ministry of Educational Key Laboratory of Water and Sediment,
    Beijing Normal University, Beijing, 100875 China;3Party School of Beijin
    g Municipal Engineering Corporation, Beijing 100088, China
  • Received:2007-10-08 Revised:1900-01-01 Online:2008-07-10 Published:2008-07-10

Abstract: To study the dynamic change of ecosystem service value is of significance in regional ecoenvironmental protection and restoration. In this paper, Costanza’s and Xie’s methods were adopted to evaluate the ecosystem service value (ESV) of Chongqing City from 1997 to 2005. Two price systems, i.e., 2000 constant price and current price, were adopted in the coefficient computations of Chinese terrestrial ecosystem service value per unit area. According to our results, the ESV of Chongqing had an increasing trend, while the ESV/GDP ratio was in adverse. A gray system model was built to predict the ESV and GDP from 2006 to 2010, and the prediction showed that in these 5 years, the ESV would continue increasing while the ESV/GDP would continue decreasing. There were significant differences among the results calculated from Costanza’s method and from Xie’s method with 2000 constant price and current price, indicating the low comparability of the three methods, which was due to the different aspects emphasized in each situation. By adopting Costanza’s method, the influence of land use change on ESV was mainly reflected; by adopting Xie’s 2000 constant price method, the influence of biomass variation on ESV was reflected as well; while adopting Xie’s current price method, besides the influences of land use change and biomass variation on ESV, the people’s willingness to pay for ESV was also partially reflected.

Key words: Soil nutrient, Spatial variability, Geostatistics