延河流域蒸散量和产水量变化对植被和气候变化的不同响应

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Ecological Indicators Pub Date : 2024-10-28 DOI:10.1016/j.ecolind.2024.112750
Hanyu Ren , Kai Tan , Geyu Zhang , Zhipeng Wang , Haijing Shi , Zhongming Wen , Yangyang Liu
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引用次数: 0

摘要

量化延河流域生长季气候变迁和植被绿化对蒸散量(ET)和产水量(WY)的贡献和作用模式,对缺水地区生态系统的科学管理具有重要意义。本研究基于 Eagleson 模型模拟了延河流域的蒸散发,并分析了延河流域三个时段内气候变量(包括降水(Pre)、温度(Tem)、辐射(RN)、相对湿度(RH)、风速(Wind))和植被对蒸散发和水量变化的贡献、直接和间接影响。结果表明,1982-1999 年间,YHRW 的蒸散发主要呈下降趋势,1999 年后转为上升趋势。1982~2018 年,ET 总体呈上升趋势(2.02 mm-年-1),而三个不同研究时段的 WY 主要呈下降趋势。从空间上看,RN、Tem 和 Wind 是控制 1982 年至 1999 年蒸散发和 WY 变化的驱动因素。1999 年以后,LAI 是蒸散发变化的主要控制因子,而气候因子则是 WY 变化的主要因素。在 1982-2018 年的研究期间,植被对区域蒸散发变化的影响最大,而预报则主导了 WY 的变化。气候变异和植被绿化对蒸散发和 WY 的影响是复杂和非独立的。温度和相对湿度是蒸散发变化的关键介导因素,而温度和相对湿度则是 WY 变化的关键介导因素。我们强调了不同时期,尤其是大规模植被绿化后,豫西黄土高原植被生长期水分预算变化的空间异质性。在未来缺水地区的可持续发展规划中,应考虑这一发现,使当地的生态水文效应达到最佳。
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Diverse responses of the changes in evapotranspiration and water yield to vegetation and climate change in the Yanhe River watershed
Quantifying the contribution and modes of action of climate variation and vegetation greening to evapotranspiration (ET) and water yield (WY) in the growing season of the Yanhe River Watershed (YHRW) is of great significance for scientifically managing the ecosystem in water-scarce areas. This study simulated the ET of YHRW based on the Eagleson model and analyzed the contribution, direct and indirect effects of climate variables (including precipitation (Pre), temperature (Tem), radiation (RN), relative humidity (RH), wind speed (Wind)) and vegetation on the ET and WY changes during three time periods of YHRW. The results suggested the ET in the YHRW mainly showed a downward trend from 1982 to 1999, and it turned into an increasing trend after 1999. From 1982 to 2018, ET showed an overall upward trend (2.02 mm·year−1), while WY in three different study periods mainly showed a decreasing trend. Spatially, RN, Tem, and Wind were the drivers controlling ET and WY changes from 1982 to 1999. After 1999, LAI was the main controller in ET changes, while climate factors were the main contributors to WY changes. During the 1982–2018 research period, vegetation had the greatest impact on regional ET changes, while Pre dominated the WY changes. The effects of climate variation and vegetation greening on ET and WY are complex and non-independent. Tem and RH are key mediations of ET variation, while Tem and RH are key mediating factors in WY variation. We emphasize the spatial heterogeneity in water budget changes during the vegetation growth period of YHRW at different time periods, especially after large-scale vegetation greening. This finding should be considered in the planning of sustainable development in water-scarce areas in the future to make the local eco-hydrological effect the best.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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