4.7 Article

Vegetation changes in recent large-scale ecological restoration projects and subsequent impact on water resources in China's Loess Plateau

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 569, Issue -, Pages 1032-1039

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.scitotenv.2016.06.141

Keywords

Loess Plateau; Runoff; Vegetation change; Ecosystem services

Funding

  1. National Natural Science Foundation of China [41571130083]
  2. National Special Program on Basic Science and Technology Research of China [2014FY210100]
  3. Fundamental Research Funds for the Central Universities [GK201603072]

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Recently, relationship between vegetation activity and temperature variability has received much attention in China. However, vegetation-induced changes in water resources through changing land surface energy balance (e.g. albedo), has not been well documented. This study investigates the underlying causes of vegetation change and subsequent impacts on runoff for the Northern Shaanxi Loess Plateau. Results show that satellite-derived vegetation index has experienced a significantly increasing trend during the past three decades, especially during 2000-2012. Large-scale ecological restorations, i.e., the Natural Forest Conservation project and the Grain for Green project, are found to be the primary driving factors for vegetation increase. The increased vegetation coverage induces decrease in surface albedo and results in an increase in temperature. This positive effect can be counteracted by higher evapotranspiration and the net effect is a decrease in daytime land surface temperature. A higher evapotranspiration rate from restored vegetation is the primary reason for the reduced runoff coefficient. Other factors including less heavy precipitation, increased water consumption from town, industry and agriculture also appear to be the important causes for the reduction of runoff. These two ecological restoration projects produce both positive and negative effects on the overall ecosystem services. Thus, long-term continuous monitoring is needed. (C) 2016 Elsevier B.V. All rights reserved.

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