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The Spatio-Temporal Disparities of Areas Benefitting from the Wind Erosion Prevention Service

Author

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  • Jie Xu

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of the Chinese Academy of Sciences, Beijing 100049, China)

  • Yu Xiao

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of the Chinese Academy of Sciences, Beijing 100049, China)

  • Gaodi Xie

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of the Chinese Academy of Sciences, Beijing 100049, China)

  • Lin Zhen

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of the Chinese Academy of Sciences, Beijing 100049, China)

  • Yangyang Wang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of the Chinese Academy of Sciences, Beijing 100049, China)

  • Yuan Jiang

    (Faculty of Geographical Science, Beijing Normal University, Beijing 100049, China)

Abstract

Ecosystem services are closely linked to human welfare. The flow of ecosystem service can establish spatio-temporal relationships between ecosystem service provision areas (SPAs) and service beneficiary areas (SBAs). In this study, the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model was used to simulate the spatial flow path of the wind erosion prevention (WEP) service in Yanchi County. The frequency at which the simulated trajectories passed through each grid cell was used as a proxy for spatio-temporal disparities in SBAs, and the distribution of benefitting land cover, population, and gross domestic product (GDP) reflected the effects of the WEP flow. The flow paths of the Yanchi County WEP in 2010 mainly extended to eastern and central China, North Korea, South Korea, Japan, Mongolia, and eastern Russia, and were more intensive and longer in spring and winter than in autumn and winter. The SBAs covered an area of 1153.2 × 10 4 km 2 in 2010, with dominant service beneficiary areas (DSBAs) comprising 185.1 × 10 4 km 2 and accounting for 16.1% of the total beneficiary area of the year. The areas through which the flow paths passed with a high frequency (≥10%) were mainly located in Shaanxi, Shanxi, Henan, western Shandong, Hebei, Beijing, and northern Hubei, and the spatial scale of these areas varied, demonstrating obvious seasonal changes, and was the largest in spring. The benefitting land cover was mainly cropland across all of the SBAs, with one billion benefitting people (accounting for 77.11% of the total population of China) associated with a gross domestic product (GDP) of 26.8 trillion RMB (Chinese currency; as of 2018-06-22, 6.497 RMB = US $1, accounting for 87.90% of the total GDP of China). Furthermore, the population and socio-economic development in the DSBAs (21 million people and 0.53 trillion RMB GDP) were no longer affected by wind erosion from Yanchi County. This study revealed the spatio-temporal disparities of the SBAs of WEP in Yanchi County from an ecosystem services flow perspective and provides a scientific and effective basis for policymakers to perform standard ecological compensation accounting and to formulate ecological protection policies.

Suggested Citation

  • Jie Xu & Yu Xiao & Gaodi Xie & Lin Zhen & Yangyang Wang & Yuan Jiang, 2018. "The Spatio-Temporal Disparities of Areas Benefitting from the Wind Erosion Prevention Service," IJERPH, MDPI, vol. 15(7), pages 1-25, July.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:7:p:1510-:d:158451
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    References listed on IDEAS

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    1. Viniece Jennings & Lincoln Larson & Jessica Yun, 2016. "Advancing Sustainability through Urban Green Space: Cultural Ecosystem Services, Equity, and Social Determinants of Health," IJERPH, MDPI, vol. 13(2), pages 1-15, February.
    2. 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.
    3. Yu Xiao & Gaodi Xie & Lin Zhen & Chunxia Lu & Jie Xu, 2017. "Identifying the Areas Benefitting from the Prevention of Wind Erosion by the Key Ecological Function Area for the Protection of Desertification in Hunshandake, China," Sustainability, MDPI, vol. 9(10), pages 1-14, October.
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    Cited by:

    1. Xinchun Liu & Yongde Kang & Hongna Chen & Hui Lu, 2021. "Application of a High-Precision Aeolian Sand Collector in Field Wind and Sand Surveys," IJERPH, MDPI, vol. 18(14), pages 1-19, July.

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