Designing flows to enhance ecosystem functioning in heavily altered rivers Article Swipe
YOU?
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· 2019
· Open Access
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· DOI: https://doi.org/10.1002/eap.2005
More than a century of dam construction and water development in the western United States has led to extensive ecological alteration of rivers. Growing interest in improving river function is compelling practitioners to consider ecological restoration when managing dams and water extraction. We developed an Ecological Response Model (ERM) for the Cache la Poudre River, northern Colorado, USA, to illuminate effects of current and possible future water management and climate change. We used empirical data and modeled interactions among multiple ecosystem components to capture system‐wide insights not possible with the unintegrated models commonly used in environmental assessments. The ERM results showed additional flow regime modification would further alter the structure and function of Poudre River aquatic and riparian ecosystems due to multiple and interacting stressors. Model predictions illustrated that specific peak flow magnitudes in spring and early summer are critical for substrate mobilization, dynamic channel morphology, and overbank flows, with strong subsequent effects on instream and riparian biota that varied seasonally and spatially, allowing exploration of nuanced management scenarios. Instream biological indicators benefitted from higher and more stable base flows and high peak flows, but stable base flows with low peak flows were only half as effective to increase indicators. Improving base flows while reducing peak flows, as currently proposed for the Cache la Poudre River, would further reduce ecosystem function. Modeling showed that even presently depleted annual flow volumes can achieve substantially different ecological outcomes in designed flow scenarios, while still supporting social demands. Model predictions demonstrated that implementing designed flows in a natural pattern, with attention to base and peak flows, may be needed to preserve or improve ecosystem function of the Poudre River. Improved regulatory policies would include preservation of ecosystem‐level, flow‐related processes and adaptive management when water development projects are considered.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/eap.2005
- https://esajournals.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/eap.2005
- OA Status
- hybrid
- Cited By
- 37
- References
- 43
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W2974877448Canonical identifier for this work in OpenAlex
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https://doi.org/10.1002/eap.2005Digital Object Identifier
- Title
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Designing flows to enhance ecosystem functioning in heavily altered riversWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-09-18Full publication date if available
- Authors
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Kevin R. Bestgen, N. LeRoy Poff, Daniel Baker, Brian P. Bledsoe, David M. Merritt, Mark Lorie, Gregor T. Auble, John S. Sanderson, Boris C. KondratieffList of authors in order
- Landing page
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https://doi.org/10.1002/eap.2005Publisher landing page
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https://esajournals.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/eap.2005Direct link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://esajournals.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/eap.2005Direct OA link when available
- Concepts
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Riparian zone, Environmental science, Overbank, Ecosystem, Ecology, Hydrology (agriculture), Functional ecology, STREAMS, River ecosystem, Biota, River morphology, Fluvial, Habitat, Geology, Computer science, Sediment, Biology, Geotechnical engineering, Computer network, Structural basin, PaleontologyTop concepts (fields/topics) attached by OpenAlex
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37Total citation count in OpenAlex
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2025: 6, 2024: 6, 2023: 8, 2022: 7, 2021: 3Per-year citation counts (last 5 years)
- References (count)
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43Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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