ArticleWIREs. Water2020
Zero or not? Causes and consequences of zero-flow stream gage readings.
Article in WIREs. Water, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
17 citing papers in PubMed.
- Long-Term Regime Shifts in Xeric Ecoregion Freshwater Fish Assemblages due to Anthropogenic and Climate Stressors.Ecology and evolution · 2025Article
- Deep learning for water quality.Nature water · 2024Article
- Exploiting Sentinel-2 dataset to assess flow intermittency in non-perennial rivers.Scientific reports · 2022Article
- Headwater streams and inland wetlands: Status and advancements of geospatial datasets and maps across the United States.Earth-science reviews · 2022Article
- Detecting Streamflow in Dryland Rivers Using CubeSats.Geophysical research letters · 2022Article
- The terrestrial and semi-aquatic invertebrates of intermittent rivers and ephemeral streams.Biological reviews of the Cambridge Philosophical Society · 2022Review
- Assessing placement bias of the global river gauge network.Nature sustainability · 2022Article
- Probabilistic Description of Streamflow and Active Length Regimes in Rivers.Water resources research · 2022Article
- Vulnerable Waters are Essential to Watershed Resilience.Ecosystems (New York, N.Y.) · 2022Article
- Article
- Hierarchical climate-driven dynamics of the active channel length in temporary streams.Scientific reports · 2021Article
- A global perspective on the functional responses of stream communities to flow intermittence.Ecography · 2021Article
- Article
- Monitoring and Modeling Drainage Network Contraction and Dry Down in Mediterranean Headwater Catchments.Water resources research · 2021Article
- Article
- Classifying Streamflow Duration: The Scientific Basis and an Operational Framework for Method Development.Water · 2020Article
- What's in a Name? Patterns, Trends, and Suggestions for Defining Non-Perennial Rivers and Streams.Water · 2020Article
Corrections and comments
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Authors and funding
27 authors.
Funding
Abstract
Streamflow observations can be used to understand, predict, and contextualize hydrologic, ecological, and biogeochemical processes and conditions in streams. Stream gages are point measurements along rivers where streamflow is measured, and are often used to infer upstream watershed-scale processes. When stream gages read zero, this may indicate that the stream has fully dried; however, zero-flow readings can also be caused by a wide range of other factors. Our ability to identify whether or not a zero-flow gage reading indicates a dry fluvial system has far reaching environmental implications. Incorrect identification and interpretation by the data user can lead to hydrologic, ecological, and/or biogeochemical predictions from models and analyses. Here, we describe several causes of zero-flow gage readings: frozen surface water, flow reversals, instrument error, and natural or human-driven upstream source losses or bypass flow. For these examples, we discuss the implications of zero-flow interpretations. We also highlight additional methodss for determining flow presence, including direct observations, statistical methods, and hydrologic models, which can be applied to interpret causes of zero-flow gage readings and implications for reach- and watershed-scale dynamics. Such efforts are necessary to improve our ability to understand and predict surface flow activation, cessation, and connectivity across river networks. Developing this integrated understanding of the wide range of possible meanings of zero-flows will only attain greater importance in a more variable and changing hydrologic climate.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.