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量化中国干旱地区政策驱动的大规模植被恢复对蒸散的影响。

Quantifying the policy-driven large scale vegetation restoration effects on evapotranspiration over drylands in China.

作者信息

Xue Yayong, Liang Haibin, Zhang Haozhe, Yin Lichang, Feng Xiaoming

机构信息

College of Geographical and Remote Sensing Science, Xinjiang University, Urumqi, 830046, China.

Institute of Geographical Science, Taiyuan Normal University, Jinzhong, Shanxi, 030619, China; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.

出版信息

J Environ Manage. 2023 Nov 1;345:118723. doi: 10.1016/j.jenvman.2023.118723. Epub 2023 Aug 1.

Abstract

Evapotranspiration (ET) is a key variable in the water cycle and reflects the ecosystem's feedback into the climate system. However, quantitative studies on the response of ET to large-scale vegetation restoration projects and climate change are still lacking, especially in drylands. To address this deficiency, this research examined the variation in ET since the implementation of restoration projects in the drylands of China in 2000-2018, and utilized quantitative analysis methods to investigate the effects of six environmental factors, including temperature (TEM), precipitation (PRE), solar radiation (RAD), vapour pressure deficit (VPD), soil moisture (SM), and leaf area index (LAI) on ET. Furthermore, a new method was proposed to detect the ET change caused by land use and land cover change (LUCC). The results indicated that ET showed a significant increasing trend (3.54 mm yr) during 2000-2018, and PRE was identified as a main influential factor with an ET contribution rate of more than 50%, especially in areas with insignificant vegetation greening. Additionally, the LAI had a major positive impact on ET in the areas of significant vegetation greening, and the contribution rate was nearly 40%. Furthermore, large-scale vegetation restoration expanded the area of high-transpiration vegetation types, and the ΔET (net variable quantity of ET caused by LUCC) increased obviously especially for the changes from cropland and grassland to forest, and barren land to grassland. These findings provide a new perspective for future assessments and further decision making regarding vegetation restoration projects in drylands.

摘要

蒸散(ET)是水循环中的一个关键变量,反映了生态系统对气候系统的反馈。然而,关于ET对大规模植被恢复项目和气候变化响应的定量研究仍然不足,尤其是在干旱地区。为了弥补这一不足,本研究考察了2000 - 2018年中国干旱地区实施恢复项目以来ET的变化,并采用定量分析方法研究了温度(TEM)、降水(PRE)、太阳辐射(RAD)、水汽压差(VPD)、土壤湿度(SM)和叶面积指数(LAI)这六个环境因素对ET的影响。此外,还提出了一种新方法来检测土地利用和土地覆盖变化(LUCC)引起的ET变化。结果表明,2000 - 2018年期间ET呈显著增加趋势(3.54毫米/年),PRE被确定为主要影响因素,对ET的贡献率超过50%,特别是在植被绿化不显著的地区。此外,在植被绿化显著的地区,LAI对ET有主要的正向影响,贡献率近40%。此外,大规模植被恢复扩大了高蒸腾植被类型的面积,ΔET(LUCC引起的ET净变量)明显增加,尤其是从农田和草地转变为森林以及从裸地转变为草地的情况。这些发现为未来干旱地区植被恢复项目的评估和进一步决策提供了新的视角。

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