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Evolution mechanism of ecosystem service relationship in the Fenhe River Basin based on multiscale geographically weighted regression

  • role： First author第一作者
  • Affiliation：

    College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China

  • Email：8886355@163.com
  • Introduction：刘珺，研究方向为资源环境遥感。E-mail：8886355@163.com
LIU Jun1,  
  • Affiliation：

    College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China

YU Boyun1,  
  • Affiliation：

    Key Laboratory of Monitoring and Protection of Natural Resources in Mining Cities, Ministry of Natural Resources, Jinzhong 030600, China

YANG Wenfu2

résumé

The trade-offs and synergies of ecosystem services are important indicators for understanding regional ecological evolution mechanisms. Many studies have taken administrative regions as a whole to describe the trade-offs and synergies of ecosystem services. However, the researchs on the spatial heterogeneity of regional ecosystem services and the different impact of various ecosystem services remains lacking. In our study, the Fenhe River basin was taken as the study area. Based on the land use classification results obtained by interpreting remote sensing images of 1986, 1995, 2005, and 2015, statistical data, and ecological data, we used the multiscale geographically weighted regression (MGWR) to analyze the trade-off and synergy between ecosystem service’s indicators of the Fenhe River basin. The influence of land transfer on the trade-off synergy and the evolution mechanism of the Fenhe River Basin’s ecosystem services was quantitatively analyzed by combining MGWR with the land use. The results show that: (1) MGWR can detect the spatial heterogeneity in the trade-off synergy of ecosystem service, and thus accurately revealing the internal relationship between multiple ecosystem services. (2) Using MGWR to obtain the best combination of ecosystem services can effectively reduce data redundancy and improve work efficiency. (3) Land use conversion is a major driver of the evolution of ecosystem service’s trade-off synergy. (4) Vegetation degradation in the Fenhe River basin will reduce the trade-off between grain production and water yield and decrease the synergy between other ecological services like the synergy of biological diversity and water yield. (5) From 1986 to 2015, the synergistic relationship between individual ecosystem services in the Fenhe River basin was dominant. The synergistic relationship between water conservation and water yield was the most significant, with an average synergistic rate of 75.6%. The point of this study is the use of MGWR in solving the spatial heterogeneity of regional ecosystem service. We found that MGWR can not only reduce the analysis error caused by spatial heterogeneity but also obtain the optimal ecosystem service combination efficiently, which means it can reduce the data redundancy of ecosystem service analysis. The results can provide a reference for land use optimization and ecosystem service improvement in the Fenhe River basin.

mots-clés

remote sensing;ecosystem services;Trade-offs and Synergies;MGWR;land use;Fenhe River basin

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