4.6 Article

Evaluation of Qinghai-Tibet Plateau Wind Erosion Prevention Service Based on RWEQ Model

Journal

SUSTAINABILITY
Volume 14, Issue 8, Pages -

Publisher

MDPI
DOI: 10.3390/su14084635

Keywords

wind erosion prevention service; revised wind erosion equation; geo-detector

Funding

  1. Strategic Priority Research Program of Chinese Academy of Sciences [XDA20020402]
  2. National Natural Science Foundation of China [41971272]
  3. Guangxi Science and Technology Major Project [AA20161002-3]
  4. Zhejiang Provincial Natural Science Foundation of China [LY18D010001]

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This study simulated the spatiotemporal patterns of the Wind Erosion Prevention Service (WEPS) in the Qinghai-Tibet Plateau from 2000 to 2015, showing an increasing and then decreasing trend, with high-value areas gradually expanding to the west and east.
Ecosystem service research is essential to identify the contribution of the ecosystem to human welfare. As an important ecological barrier zone, the Qinghai-Tibet Plateau (QTP) supports the use of a crucial wind erosion prevention service (WEPS) to improve the ecological environment quality. This study simulated the spatiotemporal patterns of the WEPS based on the Revised Wind Erosion Equation (RWEQ) and its driving factors. From 2000 to 2015, the total WEPS provided in the QTP ranged from 1.75 x 10(9) kg to 2.52 x 10(9) kg, showing an increasing and then decreasing trend. The average WEPS service per unit area was between 0.72 kg m(-2) and 1.06 kg m(-2). The high-value areas were concentrated in the northwest and north of the QTP, and the total WEPS in different areas varied significantly from year to year. The average retention rate of the WEPS in the QTP was estimated to be 57.24-62.10%, and high-value areas were mainly located in the southeast of the QTP. The total monetary value of the WEPS in the QTP was calculated to be between 223.56 x 10(9) CNY and 321.73 x 10(9) CNY, and the average WEPS per unit area was between 0.08 CNY m(-2) and 0.13 CNY m(-2), showing a declining-rising-declining trend. The high-value areas gradually expanded to the west and east of the QTP. The slope was the most important factor controlling the spatial differentiation of the WEPS, followed by the landform type, average annual precipitation, and average annual wind speed, and human activities such as land-use change could improve the WEPS by returning farmland to grassland and desertification control in the QTP.

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