Volume 35, Issue 3 e14079
RESEARCH ARTICLE

Variability of stream extents controlled by flow regime and network hydraulic scaling

Dana A. Lapides

Corresponding Author

Dana A. Lapides

Department of Geography, Simon Fraser University, Burnaby, British Columbia, Canada

Correspondence

Dana A. Lapides, Department of Geography, Simon Fraser University, Burnaby, BC, Canada.

Email: [email protected]

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Christine D. Leclerc

Christine D. Leclerc

Department of Geography, Simon Fraser University, Burnaby, British Columbia, Canada

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Hana Moidu

Hana Moidu

Department of Environmental Science, Policy, and Management, University of California-Berkeley, Berkeley, California, USA

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David N. Dralle

David N. Dralle

Pacific Southwest Research Station, United States Forest Service, Davis, California, USA

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W. Jesse Hahm

W. Jesse Hahm

Department of Geography, Simon Fraser University, Burnaby, British Columbia, Canada

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First published: 07 February 2021
Citations: 26
Funding information Natural Sciences and Engineering Research Council of Canada; Simon Fraser University

Abstract

Stream networks expand and contract through time, impacting chemical export, aquatic habitat, and water quality. Although recent advances improve prediction of the extent of the wetted channel network (L) based on discharge at the catchment outlet (Q), controls on the temporal variability of L remain poorly understood and unquantified. Here we develop a quantitative, conceptual framework to explore how flow regime and stream network hydraulic scaling factors co-determine the relative temporal variability in L (denoted here as the total wetted channel drainage density). Network hydraulic scaling determines how much L changes for a change in Q, while the flow regime describes how Q changes in time. We compiled datasets of co-located dynamic stream extent mapping and discharge to analyze all globally available empirical data using the presented framework. We found that although variability in L is universally damped relative to variability in Q (i.e., streamflow is relatively more variable in time than network extent), the relationship is elastic, meaning that for a given increase in the variability in Q, headwater catchments will experience greater-than-proportional increases in the variability of L. Thus, under anticipated climatic shifts towards more volatile precipitation, relative variability in headwater stream network extents can be expected to increase even more than the relative variability of discharge itself. Comparison between network extents inferred from the L-Q relationship and blue lines on USGS topographic maps shows widespread underestimation of the wetted channel network by the blue line network.

DATA AVAILABILITY STATEMENT

All data is available for download from HydroShare at (https://www.hydroshare.org/resource/23fc96f7517247babb83f7d5418e3023/) (Leclerc et al., 2020b, 2020c, 2020d, 2020e). Supporting code is available on GitHub (https://zenodo.org/record/4057320; Leclerc et al., 2020a). A preprint of this study is available in the public domain (Lapides et al., 2020).

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