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Driving Forces of Dynamic Changes in Soil Erosion in the Dahei Mountain Ecological Restoration Area of Northern China Based on GIS and RS

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  • Xiao Li
  • Xiang Niu
  • Bing Wang
  • Peng Gao
  • Yu Liu

Abstract

Dynamic change in soil erosion is an important focus of regional ecological restoration research. Here, the dynamic changes of soil erosion and its driving forces in the Dahei Mountain ecological restoration area of northern China were analyzed by LANDSAT TM remote sensing captured via geographic information system (GIS) technologies during three typical periods in 2004, 2008 and 2013. The results showed the following: (1) a decrease in intensive erosion and moderate erosion areas, as well as an increase in light erosion areas, was observed during two periods: one from 2004 to 2008 and the other from 2008 to 2013. (2) Between 2004 and 2008, the variation in the range of slight erosion was the largest (24.28%), followed by light erosion and intensive erosion; between 2008 and 2013, the variation in the range of intensive erosion area was the largest (9.89%), followed by slight erosion and moderate erosion. (3) Socioeconomic impact, accompanied by natural environmental factors, was the main driving force underlying the change in soil erosion within the ecological restoration area. In particular, the socioeconomic factors of per capita forest area and land reclamation rate, as well as the natural environmental factor of terrain slope, significantly influenced soil erosion changes within the ecological restoration area.

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  • Xiao Li & Xiang Niu & Bing Wang & Peng Gao & Yu Liu, 2016. "Driving Forces of Dynamic Changes in Soil Erosion in the Dahei Mountain Ecological Restoration Area of Northern China Based on GIS and RS," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-15, March.
  • Handle: RePEc:plo:pone00:0142331
    DOI: 10.1371/journal.pone.0142331
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    2. Krishna Bhandari & Jagannath Aryal & Rotchanatch Darnsawasdi, 2015. "A geospatial approach to assessing soil erosion in a watershed by integrating socio-economic determinants and the RUSLE model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 321-342, January.
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    1. Xiufeng Cao & Zhaoshun Liu & Shujie Li & Zhenjun Gao, 2022. "Integrating the Ecological Security Pattern and the PLUS Model to Assess the Effects of Regional Ecological Restoration: A Case Study of Hefei City, Anhui Province," IJERPH, MDPI, vol. 19(11), pages 1-19, May.

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