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Trade-Off Analyses of Multiple Ecosystem Services and Their Drivers in the Shandong Yellow River Basin

Author

Listed:
  • Xufang Zhang

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Yu Yang

    (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China)

  • Minghua Zhao

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Rongqing Han

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Shijie Yang

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Xiaojie Wang

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Xiantao Tang

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Weijuan Qu

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

Abstract

With the intensification of conflicts between different ecosystem services, how to achieve a win-win situation between socio-economic development and ecological protection is an important issue that needs to be addressed nowadays. In particular, how to better quantify and assess the intensity of ecosystem service trade-offs and their relative benefits, and to identify the influencing factors are issues that need to be studied in depth. Based on the INVEST model, this paper analyzed the evolution of spatial and temporal patterns of ecosystem services such as Carbon Storage (CS), Food Production (FP), Habitat Quality (HQ), and Water Yield (WY) in the Shandong Yellow River Basin (SYRB) in 2000, 2010 and 2020. Next, we quantitatively measured the trade-off intensity and revealed the key influencing factors of the trade-off intensity evolution using automatic linear models, root mean square deviation, and geographically weighted regressions. Subsequently, we further analyzed the impact of the correlation between environmental and socio-economic factors on the trade-off intensity of ecosystem services. The results indicated that the temporal and spatial changes of the four main ecosystem services in SYRB area were inconsistent. WY showed a fluctuating trend, with a large interannual gap. CS and FP are on the rise, while HQ is on the decline. Spatially, WY and HQ showed a decreasing distribution from the center to the periphery, while FP and CS showed a decreasing distribution from the southwest to the northeast. The location characteristics of SYRB’s four ecosystem services and their trade-offs were obvious. FP had absolute location advantage in ecosystem service trade-offs. Most of the four ecosystem services showed significant trade-offs, and the trade-off intensity had significant spatial heterogeneity, but the trade-off between FP and CS was relatively weak. At the same time, there were also differences in the trends of trade-off intensities. Counties with low trade-off intensity were mostly located in mountainous areas; these areas are less disturbed by human activities, and most of them are areas without prominent services. Counties with high trade-off intensities were mostly concentrated in areas with relatively developed agriculture; these areas are more disturbed by human activities and are mostly prominent in FP. The trade-off intensity of ecosystem services in SYRB was affected by several factors together, and there were difference characteristics in the degree and direction of influence of each factor. Moreover, these influencing factors have gradually changed over 20 years. In terms of the spatial distribution at the county scale, the influence areas of the dominant drivers of different trade-off types varied greatly, among which the areas with NDVI, CON, and PRE as the dominant factors were the largest. In the future, in effectively balancing regional economic development and ecological environmental protection, quantifiable correspondence strategies should be developed from the administrative perspective of counties and regions based on comprehensive consideration of the locational advantages of each ecosystem service and changes in trade-offs.

Suggested Citation

  • Xufang Zhang & Yu Yang & Minghua Zhao & Rongqing Han & Shijie Yang & Xiaojie Wang & Xiantao Tang & Weijuan Qu, 2022. "Trade-Off Analyses of Multiple Ecosystem Services and Their Drivers in the Shandong Yellow River Basin," IJERPH, MDPI, vol. 19(23), pages 1-29, November.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15681-:d:983935
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    References listed on IDEAS

    as
    1. Xufang Zhang & Minghua Zhao & Xiaojie Wang & Rongqing Han, 2022. "Regional Differences of Farmers’ Willingness to Grow Grain and Its Influencing Factors in Shandong Province under the Background of New-Type Urbanization," Agriculture, MDPI, vol. 12(8), pages 1-21, August.
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    3. Moreira, Miguel & Fonseca, Catarina & Vergílio, Marta & Calado, Helena & Gil, Artur, 2018. "Spatial assessment of habitat conservation status in a Macaronesian island based on the InVEST model: a case study of Pico Island (Azores, Portugal)," Land Use Policy, Elsevier, vol. 78(C), pages 637-649.
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    5. Feng, Zhe & Jin, Xueru & Chen, Tianqian & Wu, Jiansheng, 2021. "Understanding trade-offs and synergies of ecosystem services to support the decision-making in the Beijing–Tianjin–Hebei region," Land Use Policy, Elsevier, vol. 106(C).
    6. Bagstad, Kenneth J. & Johnson, Gary W. & Voigt, Brian & Villa, Ferdinando, 2013. "Spatial dynamics of ecosystem service flows: A comprehensive approach to quantifying actual services," Ecosystem Services, Elsevier, vol. 4(C), pages 117-125.
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    Cited by:

    1. Ming Sun & Tiange Xu, 2024. "Identification and Management of Epidemic Hazard Areas for Urban Sustainability: A Case Study of Tongzhou, China," Sustainability, MDPI, vol. 16(18), pages 1-25, September.

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