Journal of Ecology and Rural Environment ›› 2022, Vol. 38 ›› Issue (11): 1365-1376.doi: 10.19741/j.issn.1673-4831.2022.0403

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Study on Spatial-temporal Evolution and Driving Factors of Ecosystem Service Value in the Yangtze River Delta Urban Agglomerations

MA Wei-bo1, YANG Fan2, WANG Nan1, ZHAO Li-jun1, TAN Kun3, ZHANG Xiao-fei1, ZHANG Long-jiang1, LI Hai-dong1   

  1. 1. Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China;
    2. Department of Ecological Environment of Shaanxi Province, Xi'an 710004, China;
    3. Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China
  • Received:2022-04-29 Online:2022-11-25 Published:2022-11-23

Abstract: Urban ecological well-being is increasingly concerned these years. Exploring the driving effect of ecosystem service value (ESV) of urban agglomerations has essential reference significance for improving urban ecological well-being and human settlement health. Taking 27 cities in the Yangtze River Delta Urban Agglomeration (YRDUA) as the research object, the driving characteristics and driving path evolution characteristics of 10 indicators of human activities and natural conditions on ESV were explored by using random forest (RF) and structural equation model (SEM). The results show that: (1)During 2000-2020, the overall ESV of the YRDUA decreased first and then increased. Its spatial distribution pattern show that: the highest in key lakes, wetlands, and water systems, followed by hills in the south, farmland in the north, and the lowest in the built-up area of the urban agglomeration. (2) There is a strong spatial aggregation mode of ESV in the YRDUA. For example, during 2000-2020, the hot spot effect of ESV had risen remarkably in the contiguous areas of Yangzhou-Taizhou-Yancheng, Changzhou-Wuxi-Suzhou-Huzhou and Ma'anshan-Nanjing, and in the coastal wetland of Yancheng-Nantoug was very remarkable. (3) The driving influence of water area in the YRDUA on ESV is greater than other factors. SEM shows that the driving factors explain the changes of the ESV in 2000, 2010, 2020, and 2000-2020 through direct and indirect means in different degrees of 85%, 84%, 83%, and 72%, respectively. It is found that the changing process of cold and hot spots of ESV spatial aggregation in the YRDUA reflects the evolution characteristics of urbanization in this area from the side, the water area drives ESV in a very significant and direct way. In addition to the direct way, forest land area drives ESV through an importantly indirect path. It is suggested to consider the direct and indirect driving effects of all factors comprehensively and improve the ESV of urban ecosystem from the perspective of integrated development of urban agglomerations.

Key words: ecosystem service value, driving mechanism, structural equation model, urbdan agglomeration area

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