Advancing the science of headwater streamflow for global water protection

Heather E. Golden, Jay R. Christensen, Hilary K. McMillan, Christa A. Kelleher, Charles R. Lane, Admin Husic, Li Li, Adam S. Ward, John Hammond, Erin C. Seybold, Kristin L. Jaeger, Margaret Zimmer, Roy Sando, C. Nathan Jones, Catalina Segura, D. Tyler Mahoney, Adam N. Price, Frederick Cheng
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Abstract

The protection of headwater streams faces increasing challenges, exemplified by limited global recognition of headwater contributions to watershed resiliency and a recent US Supreme Court decision limiting federal safeguards. Despite accounting for ~77% of global river networks, the lack of adequate headwaters protections is caused, in part, by limited information on their extent and functions—in particular, their flow regimes, which form the foundation for decision-making regarding their protection. Yet, headwater streamflow is challenging to comprehensively measure and model; it is highly variable and sensitive to changes in land use, management and climate. Modelling headwater streamflow to quantify its cumulative contributions to downstream river networks requires an integrative understanding across local hillslope and channel (that is, watershed) processes. Here we begin to address this challenge by proposing a consistent definition for headwater systems and streams, evaluating how headwater streamflow is characterized and advocating for closing gaps in headwater streamflow data collection, modelling and synthesis. Despite their substantial contributions to watershed resilience, headwater streams are becoming increasingly imperilled. This Perspective summarizes the status of headwater streamflow information and proposes guidance for advancing the understanding of headwater hydrology to support better management of these systems.

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推进水源流科学,促进全球水资源保护
保护水源面临着越来越多的挑战,例如全球对水源对流域恢复力的贡献认识有限,以及最近美国最高法院限制联邦保障措施的决定。尽管河网占全球河网的约77%,但缺乏足够的源头保护,部分原因是关于河网的范围和功能的信息有限,特别是关于河网的流动状况的信息有限,而这些信息构成了有关河网保护的决策基础。然而,水源流量的综合测量和建模是一个挑战;它是高度可变的,对土地利用、管理和气候的变化非常敏感。对源头水流进行建模以量化其对下游河流网络的累积贡献,需要对当地山坡和河道(即流域)过程进行综合理解。在这里,我们开始通过提出源头系统和溪流的一致定义来解决这一挑战,评估源头流的特征,并倡导弥合源头流数据收集、建模和合成方面的差距。尽管它们对流域恢复力做出了重大贡献,但源头溪流正变得越来越危险。本展望总结了水源水流信息的现状,并提出了提高对水源水文认识的指导意见,以支持更好地管理这些系统。
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