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

机译:黄土高原地区近期大型生态修复项目的植被变化及其对水资源的影响

摘要

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.
机译:近年来,植被活动与温度变化之间的关系在中国引起了广泛关注。然而,尚未充分记录出植被通过改变地表能量平衡(例如反照率)而引起的水资源变化。本研究调查了陕北黄土高原地区植被变化的根本原因及其对径流的影响。结果表明,在过去的三十年中,尤其是在2000-2012年期间,卫星衍生的植被指数呈显着增加的趋势。大规模的生态修复,即天然森林保护项目和“退耕还林”项目,被认为是增加植被的主要驱动因素。植被覆盖率的增加导致地表反照率降低,并导致温度升高。较高的蒸散量可以抵消这种积极影响,而净影响是白天陆地表面温度的降低。恢复植被的较高蒸散速率是径流系数降低的主要原因。其他因素包括降水减少,城镇,工业和农业用水增加等,也似乎是减少径流的重要原因。这两个生态修复项目对整个生态系统服务产生正反作用。因此,需要长期连续监测。 (C)2016 Elsevier B.V.保留所有权利。

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