用同位素示踪剂讲述水之旅的故事

IF 4.6 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Gerbrand Koren
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引用次数: 0

摘要

利用同位素组成确定植物体内的水源是生态水文学长期以来的研究难题。更好地了解水源有助于改进模型,最终有助于更准确地预测水的可用性、粮食产量、碳固存或生态系统状况。Gai 等人(2023, https://doi.org/10.1029/2022wr033849)系统地评估了中国中北部黄土高原苹果园不同同位素示踪剂(2H、3H、17O、18O)和混合模型(IsoSource、SIAR、MixSIR、MixSIAR)的不确定性。对于该研究区域,建议将 2H 和 18O 与 MixSIAR 混合模式相结合。重要的是,该系统评估提供了一个框架,可用于为不同生态系统和气候区选择合适的示踪剂和混合模型组合。本评论旨在为 Gai 等人(2023 年,https://doi.org/10.1029/2022wr033849)的部分关键结果提供更广泛的背景,并强调未来潜在的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Telling Tales of Water Journeys With Isotopic Tracers
Determining the sources of water inside plants using its isotopic composition is a long-standing research challenge in ecohydrology. A better understanding of water sources can help improve models and ultimately contribute to more accurate forecasts of water availability, food production, carbon sequestration or ecosystem status. Over the years, several methods have been developed and applied to water source partitioning, and Gai et al. (2023, https://doi.org/10.1029/2022wr033849) provide a systematic assessment of the uncertainty of different isotopic tracers (2H, 3H, 17O, 18O) and mixing models (IsoSource, SIAR, MixSIR, MixSIAR) for an apple tree orchard on the Loess Plateau in north-central China. For that study area, the combination of 2H and 18O with the MixSIAR mixing model is recommended. Importantly, the systematic assessment provides a framework that can be applied to select a suitable combination of tracers and mixing models for different ecosystems and climate zones. This commentary aims to provide a wider context for a selection of key results from Gai et al. (2023, https://doi.org/10.1029/2022wr033849) and highlight potential future research directions.
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来源期刊
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
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