环境科学
地下水补给
水文学(农业)
水流
地下水
降水
地表水
流域水文
蓄水
水资源
流域
水文模型
生态水文学
稳定同位素比值
生态系统
含水层
生态学
地质学
地理
气候学
环境工程
生物
地貌学
量子力学
入口
物理
岩土工程
地图学
气象学
作者
Doerthe Tetzlaff,Aaron Smith,Lukas Kleine,Hauke Daempfling,Jonas Freymueller,Chris Soulsby
标识
DOI:10.5194/essd-15-1543-2023
摘要
Abstract. Data from long-term experimental catchments are the foundation of hydrological sciences and are crucial for benchmarking process understanding, observing trends and natural cycles, and being prerequisites for testing predictive models. Integrated data sets which capture all compartments of our landscapes are particularly important in times of land use and climate change. Here, we present ecohydrological data measured at multiple spatial scales which allow differentiation of “blue” water fluxes (which maintain streamflow generation and groundwater recharge) and “green” water fluxes (which sustain vegetation growth). There are two particular unique aspects to this data set: (a) we measured water stable isotopes in the different landscape compartments (i.e. in precipitation, surface water, soil, groundwater, and plant water), and (b) we conducted this monitoring during the extreme drought of 2018 in central Europe. Stable water isotopes are so useful in hydrology as they provide “fingerprints” of the pathways water took when moving through a catchment. Thus, isotopes allow one to evaluate the dynamic relationships between water storage changes and fluxes, which is fundamental to understanding how catchments respond to hydroclimate perturbations or abrupt land use conversion. Second, as we provide the data until 2020, one can also investigate recovery of water stores and fluxes after extreme droughts. Last but not least, lowland headwaters are often understudied systems despite them providing important ecosystem services such as groundwater and drinking water provision and management for forestry and agriculture. The data are available at https://doi.org/10.18728/igb-fred-826.3 (Dämpfling, 2023).
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