Instream flow characterization of upper Salmon River Basin streams, Central Idaho, 2003

Maret, Terry R.; Hortness, Jon E.; Ott, Douglas S.

doi:10.3133/sir20045173

Cited by 4 publications

(10 citation statements)

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“…Therefore, we used DMT as a metric for temperature suitability index (SI t ) for our study (Abatzoglou, Barbero, Wolf, & Holden, 2014). We identified SI t for water temperatures <16 and >22°C are 1 and 0, respectively, whereas its value linearly decreases from 1 to 0 between 16 and 22°C, the SFBR within a day (Benjankar et al, 2018); therefore, we use a single SI t for this study (see Maret, Hortness, & Ott, 2006). This approach might introduce some uncertainties when DMTs changes between 16 to 22°C along the streams, which was not observed for our study.…”

Section: Preference Curvesmentioning

confidence: 99%

An ecohydraulics virtual watershed: Integrating physical and biological variables to quantify aquatic habitat quality

et al. 2018

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Advances in remote sensing coupled with numerical modelling allow us to build a “virtual ecohydraulics watershed” at the micro‐habitat scale. This approach is an integrated modelling framework with a cascade of models including physical (hydrologic, hydraulic, and stream water temperature) and biological (fish habitat) modelling at a resolution and extent important for aquatic and terrestrial organisms. We applied this approach to quantify the impacts of discharges and water temperature on habitat quality and spatial/temporal habitat use patterns of bull trout, a federally listed species along the South Fork Boise River. We coupled process‐based snow melt and hydrologic models to predict water availability within the watershed. The model fed one‐ and two‐dimensional hydrodynamic models to predict stream hydraulics and water temperature using high‐resolution (meter scale) river bathymetric data. This information was then used in an aquatic habitat modelling to characterize habitat quality distribution as a function of discharges. Our results showed that the summer thermal regime of river system would alter available habitat. The high spatial resolution analysis allows modelling to predict the importance of lateral habitats, which serve as vital refugia during high‐flow events for many fish species. The advances in remote sensing, numerical modelling, and understanding of physical‐biological processes provide us an opportunity to conceptualize new process‐based integrated modelling tools to analyse human impacts at a catchment scale, for example, dam operation and climatic variability on aquatic habitat and status, and further to develop restoration protocols in a virtual domain before field studies are developed and/or structures built.

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Section: Preference Curvesmentioning

confidence: 99%

An ecohydraulics virtual watershed: Integrating physical and biological variables to quantify aquatic habitat quality

et al. 2018

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“…Example of habitat suitability index (HSI) modeling for steelhead on Asotin Creek, Washington. The modeling of depth and velocity is based on a Delft3D hydraulic model, which uses discharge, topographic data, and an estimate of channel roughness (D84) and is combined with habitat preferences for steelhead (Maret et al 2006) to produce a HSI map of areas of highest and lowest suitability for juvenile steelhead during summer. Plus symbols (+) indicate location of large woody debris (source of data and map: courtesy of Andrew Hill, Eco Logical Research).…”

Section: Reach-scale Assessment Toolsmentioning

confidence: 99%

Review of Tools for Identifying, Planning, and Implementing Habitat Restoration for Pacific Salmon and Steelhead

Roni

Anders

Beechie

et al. 2018

N American J Fish Manag

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A key challenge in watershed restoration is identifying the appropriate assessments, data, and analyses needed to identify disrupted natural processes, lost and degraded habitats, and limiting factors to ultimately identify and design successful restoration projects. This has proven particularly challenging for large restoration programs focused on recovery of threatened and endangered salmon and trout where numerous tools, models, and other assessments have been developed to assist with habitat restoration at the watershed, reach, and project scale. Unfortunately, it is often unclear which step in the restoration process these various assessment tools will actually address. To assist with identifying the appropriate assessment tool (e.g., model, data collection, analysis, and survey), we reviewed major categories of watershed restoration assessment tools to determine their goals, inputs, outputs, and their utility in helping plan, prioritize, and implement restoration actions. The major categories of assessment tools reviewed were: (1) life cycle and fish–habitat models, (2) watershed assessment methods and techniques, (3) reach assessments, (4) prioritization tools, and (5) common monitoring methods to identify, prioritize, and plan river and watershed restoration projects. We specifically indicated whether these assessment tools directly or indirectly assisted with the key steps in the restoration process that are required to develop successful restoration plans and projects. These steps involve assessing watershed conditions, identifying limiting habitats and life stages, identifying problems and restoration actions, selecting restoration techniques, prioritizing restoration actions, or designing actual restoration projects. It is important to recognize that no single assessment tool will address all the steps in the restoration process. Selecting appropriate assessment tools requires a clear understanding of the goals of the restoration program and which step in the restoration process will be addressed by a particular tool. We provide recommendations for how restoration practitioners and managers can use our review to help select the appropriate assessment tools needed for their watershed.

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“…Salmon River Basin: U.S. Geological Survey scientists used 1-D PHABSIM "to identify streamflow needs from July to September to provide fish passage and support various life stages of bull trout, Chinook salmon and steelhead trout" (Salvelinus confluentus, Oncorhynchus tshawytscha, O. mykiss) in selected streams in the upper Salmon River Basin in Idaho, with 51 transects in 8 study sites on 6 streams (Maret et al 2006). Two were conducted in the context of major controversies, one of which has been the subject of two National Research Council (NRC) reports, and two are more "runof-the-mill" studies conducted by scientists from the U. S. Geological Survey.…”

Section: Case Studiesmentioning

confidence: 99%

“…Maret et al (2006) stratified their sites by mesohabitat types, but did not describe the types used or how they were defined. Results were presented site by site, with no attempt in this report to apply the results beyond the sites.…”

Section: Case Studiesmentioning

confidence: 99%

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Sampling for Environmental Flow Assessments

Williams¹

2010

Fisheries

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Environmental flow studies normally involve sampling. Except for hydrologically based methods, the studies usually are conducted only on part of the reach of stream to which the study results will be applied. This assumes that the study sites, or the samples, are representative of the stream as a whole. There is no way to be sure of this without studying the whole stream, but it is possible to estimate how close the study results and the “true” results are likely to be, if the study uses a probability (random) sampling design that allows for estimating confidence intervals. Sampling designs that allow for interval estimates of statistics are normal in science, but, strangely, not in environmental flow studies. Here, I describe and discuss some appropriate sampling designs and related considerations in the context of environmental flow studies. I then describe and critique the sampling in some recent studies using the Physical Habitat Simulation System (PHABSIM), the method most commonly used in the United States, which I describe briefly for readers not familiar with it. Finally, I explain why deliberate selection of samples gives biased results, and describe the experience that persuaded statisticians of this fact early in the twentieth century.

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Instream flow characterization of upper Salmon River Basin streams, Central Idaho, 2003

Cited by 4 publications

References 0 publications

An ecohydraulics virtual watershed: Integrating physical and biological variables to quantify aquatic habitat quality

An ecohydraulics virtual watershed: Integrating physical and biological variables to quantify aquatic habitat quality

Review of Tools for Identifying, Planning, and Implementing Habitat Restoration for Pacific Salmon and Steelhead

Sampling for Environmental Flow Assessments

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