Spatial and temporal variation in river corridor exchange across a 5th-order mountain stream network
Year: 2019
Type: article
Abstract: . Although most field and modeling studies of river corridor exchange have been conducted a scales ranging from 10’s to 100’s of meters; results of these studies are used to predict their ecological and hydrological influences at the scale of river networks. Further complicating prediction, exchange are expected to vary with hydrologic forcing and the local geomorphic setting. While we desire predictive power, we lack a complete spatiotemporal relationship relating discharge to the variation in geologic setting and hydrologic forcing that are expected across a river basin. Indeed, Wondzell’s [2011] conceptual model predicts systematic variation in river corridor exchange as a function of (1) variation in discharge over time at a fixed location, (2) variation in discharge with location in the river network, and (3) local geomorphic setting. To test this conceptual model we conducted more than 60 solute tracer studies collected in a synoptic campaign in the 5th order river network of the H. J. Andrews Experimental Forest (Oregon, USA). We interpret the data using a series of metrics describing river corridor exchange and solute transport, testing for consistent direction and magnitude of relationships relating these metrics to discharge and local geomorphic setting. We confirmed systematic decrease in river corridor exchange space through the river networks, from headwaters to the larger mainstem. However, we did not find systematic variation with changes in discharge through time, nor with local geomorphic setting. While interpretation of our results are complicated by problems with the analytical methods, they are sufficiently robust for us to conclude that space-for-time and time-for-space substitutions are not appropriate in our study system. Finally, we suggest two strategies that will improve the interpretability of tracer test results and help the hyporheic community develop robust data sets that will enable comparisons across multiple sites and/or discharge conditions.
Authors: Adam S. Ward, Steven M. Wondzell, Noah M. Schmadel, Skuyler Herzog, Jay P. Zarnetske, Viktor Baranov, Phillip J. Blaen, Nicolai Brekenfeld, Rosalie Chu, Romain Derelle, Jennifer Drummond, Jan Fleckenstein, Vanessa Garayburu-Caruso, Emily Graham, David Hannah, Ciaran Harman, Jase Hixson, Julia L. A. Knapp, Stefan Krause, Marie J. Kurz, Jörg Lewendowski, Angang Li, Eugenia Marti, Melinda Miller, Alexander M. Milner, Kerry Neil, Luisa Orsini, Aaron I. Packman, Stephen Plont, Lupita Renteria, Kevin Roche, Todd Royer, Catalina Segura, James Stegen, Jason Toyoda, Jacqueline Hager, Nathan I. Wisnoski
Institutions: Indiana University Bloomington, Indiana University, US Forest Service, Pacific Northwest Research Station, United States Geological Survey, Michigan State University, Ludwig-Maximilians-Universität München, Kelda Group (United Kingdom), University of Birmingham, Pacific Northwest National Laboratory, Environmental Molecular Sciences Laboratory, Consejo Superior de Investigaciones Científicas, Centre d'Estudis Avançats de Blanes, Helmholtz Centre for Environmental Research, University of Bayreuth, Johns Hopkins University, ETH Zurich, University of Tübingen, Drexel University, Humboldt-Universität zu Berlin, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Northwestern University, Virginia Tech, University of Notre Dame, Oregon State University
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,725
Funders: National Science Foundation, U.S. Department of Energy, U.S. Department of Agriculture, Oregon State University, Leverhulme Trust, European Commission, University of Birmingham, U.S. Forest Service, Horizon 2020 Framework Programme, Natural Environment Research Council, Pacific Northwest Research Station, H2020 Marie Skłodowska-Curie Actions, Pacific Northwest National Laboratory
Awards: G2189472788, Large woody debris -A river restoration panacea for streambed nitrate attenuation?, ADVANCING PREDICTIVE UNDERSTANDING OF HYDROLOGIC EXCHANGE IN THE RIVER CORRIDOR, Collaborative Research: Revealing the Role of Less-Mobile Porosity in Hyporheic Denitrification and Greenhouse Gas Production?, G3907330345, G4937468798, G5449405172, Long-Term Ecological Research at the H.J. Andrews Experimental Forest (LTER7), Collaborative Research: How do hydrology and biogeochemistry control carbon flux from headwater streams to the atmosphere?, CAREER: Advancing predictive understanding of hydrologic exchange in the river corridor, Smart high-frequency environmental sensor networks for quantifying nonlinear hydrological process dynamics across spatial scales, G8293034860, Smart high-frequency environmental sensor networks for quantifying nonlinear hydrological process dynamics across spatial scales, G8883634333
OpenAlex ID: W2941143908