Advancing our predictive understanding of river corridor exchange
Abstract
Despite decades of research, we lack an accurate framework to predict and manage hydrologic exchange in the river corridor and the associated ecosystem services and functions at the scales of stream reaches and entire networks. While many individual studies have been conducted to investigate specific mechanisms, they have not been synthesized to account for heterogeneity in space, nonstationarity, and multiscale feedbacks that typify the river corridor. As a result, contradictory predictions of exchange flux, geometry, and timescale are prevalent in the literature. We attribute these contradictions to (a) failure to account for multiscale feedbacks and (b) uncertainty in the information content of common measurement methods. Here, we apply the concept of interacting multiscale spatial and time‐variable domains to the river corridor to demonstrate why more complete multiscale characterization is necessary to achieve predictive understanding. Next, we highlight uncertainties and inconsistencies in measurement methods which may obfuscate our understanding of river corridor exchange. Finally, we briefly outline four necessary advances to achieve predictive understanding of river corridor exchange: standardization of metadata, critical evaluation of the information content and support volumes for measurement techniques, multiscale model‐data integration, and advancing theoretical models of river corridor exchange. This article is categorized under: Science ofmore »
- Authors:
-
- School of Public and Environmental Affairs Indiana University Bloomington Indiana
- Civil and Environmental Engineering Department Northwestern University Evanston Illinois
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1484534
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- WIRES. Water
- Additional Journal Information:
- Journal Name: WIRES. Water Journal Volume: 6 Journal Issue: 1; Journal ID: ISSN 2049-1948
- Publisher:
- Wiley Blackwell (John Wiley & Sons)
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Ward, Adam S., and Packman, Aaron I. Advancing our predictive understanding of river corridor exchange. United States: N. p., 2018.
Web. doi:10.1002/wat2.1327.
Ward, Adam S., & Packman, Aaron I. Advancing our predictive understanding of river corridor exchange. United States. https://doi.org/10.1002/wat2.1327
Ward, Adam S., and Packman, Aaron I. Tue .
"Advancing our predictive understanding of river corridor exchange". United States. https://doi.org/10.1002/wat2.1327.
@article{osti_1484534,
title = {Advancing our predictive understanding of river corridor exchange},
author = {Ward, Adam S. and Packman, Aaron I.},
abstractNote = {Despite decades of research, we lack an accurate framework to predict and manage hydrologic exchange in the river corridor and the associated ecosystem services and functions at the scales of stream reaches and entire networks. While many individual studies have been conducted to investigate specific mechanisms, they have not been synthesized to account for heterogeneity in space, nonstationarity, and multiscale feedbacks that typify the river corridor. As a result, contradictory predictions of exchange flux, geometry, and timescale are prevalent in the literature. We attribute these contradictions to (a) failure to account for multiscale feedbacks and (b) uncertainty in the information content of common measurement methods. Here, we apply the concept of interacting multiscale spatial and time‐variable domains to the river corridor to demonstrate why more complete multiscale characterization is necessary to achieve predictive understanding. Next, we highlight uncertainties and inconsistencies in measurement methods which may obfuscate our understanding of river corridor exchange. Finally, we briefly outline four necessary advances to achieve predictive understanding of river corridor exchange: standardization of metadata, critical evaluation of the information content and support volumes for measurement techniques, multiscale model‐data integration, and advancing theoretical models of river corridor exchange. This article is categorized under: Science of Water > Hydrological Processes Water and Life > Nature of Freshwater Ecosystems Science of Water > Methods},
doi = {10.1002/wat2.1327},
journal = {WIRES. Water},
number = 1,
volume = 6,
place = {United States},
year = {Tue Dec 04 00:00:00 EST 2018},
month = {Tue Dec 04 00:00:00 EST 2018}
}
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