Upscaling site‐scale ecohydraulic models to inform salmonid population‐level life cycle modeling and restoration actions – Lessons from the Columbia River Basin

Wheaton, Joseph M.; Bouwes, Nicolaas; McHugh, Peter A.; Saunders, W. Carl; Bangen, Sara; Bailey, Phillip; Nahorniak, Matt; Wall, Erika; Jordan, Chris E.

doi:10.1002/esp.4137

Cited by 39 publications

(36 citation statements)

References 148 publications

(217 reference statements)

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“…, Wheaton et al. ). For example, network models developed for water temperature have greatly assisted efforts to model the effects of climate change (e.g., Isaak et al.…”

Section: Discussionmentioning

confidence: 99%

“…, Wheaton et al. ). The MFJD IMW constitutes an 827‐km 2 watershed, ranging in elevation from ~1050 m to 1900 m. Riparian vegetation in the MFJD watershed takes two predominate forms.…”

Section: Methodsmentioning

confidence: 99%

“…Study sites were selected in the MFJD (n = 16) and Murderers Creek (n = 8) watersheds. Our MFJD sites were located in the MFJD Intensively Monitored Watershed (IMW; Bennett et al 2016), a sub-basin of the MFJD in which salmonid populations and aquatic habitats have been intensively sampled as part of the Integrated Status and Effectiveness Monitoring Program (Bennett et al 2016, Wheaton et al 2018). The MFJD IMW constitutes an 827-km 2 watershed, ranging in elevation from~1050 m to 1900 m. Riparian vegetation in the MFJD watershed takes two predominate forms.…”

Section: Study Areamentioning

confidence: 99%

“…Although the best performing multiple regression model to predict GPP from remotely sensed data tended to underpredict GPP at sites where GPP was measured, it accounted for nearly half of the variation in observed GPP. Since Fausch et al (2002) encouraged fisheries professionals to develop an understanding of how fish populations interact with aquatic habitat throughout the riverscape, researchers have developed network models for water temperature (e.g., McNyset et al 2015, Isaak et al 2017) and physical habitat structure (e.g., Imaki 2014, O'Brien et al 2017), as well as integrating network models of fish-habitat attributes to predict attributes of fish populations (Barqu ın et al 2015, Wheaton et al 2018. For example, network models developed for water temperature have greatly assisted efforts to model the effects of climate change (e.g., Isaak et al 2015, Al-Chokhachy et al 2016) and understand spatially structured fish habitat (Dauwalter et al 2015).…”

Section: Modeling Gross Primary Productionmentioning

confidence: 99%

“…Accordingly, Naiman et al (2012) provide a recent and compelling argument in favor for pursuing river restoration with an explicit 'food-web perspective' in mind. Secondly, efforts to recover endangered fish (e.g., Pacific salmon, Oncorhynchus sp., in the U.S. Pacific Northwest) rely heavily on assumptions about the capacity of particular habitats to support fish (e.g., Wheaton et al 2018), often with little data on the inherent productivity of habitats. Thus, quantitative insight into primary production for entire riverscapes offers a powerful means to estimate fish production or carrying capacity at unprecedented scales (e.g., McGarvey and Johnston 2011).…”

Section: Introductionmentioning

confidence: 99%

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A network model for primary production highlights linkages between salmonid populations and autochthonous resources

et al. 2018

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Abstract. Spatial variation in fish densities across river networks suggests that the influence of food and habitat resources on assemblages varies greatly throughout watersheds. Conceptual models predict that in situ primary production should vary with river characteristics, but the influence of autochthonous resource availability on the capacity for river reaches to support fish is poorly understood. We estimated primary production throughout the South Fork and Middle Fork of the John Day River, Oregon, by measuring diel cycles in dissolved oxygen (DO) during July 2013. Using these data, we (1) evaluated the extent to which juvenile salmonid abundance and resource limitation correlated with areas of high gross primary production (GPP), (2) developed models to predict GPP from both site-level measurements and remotely sensed data, and (3) made predictions of GPP across the entirety of the Middle Fork John Day River (MFJD) network and assessed the utility of these spatially continuous predictions for describing variation fish densities at broad scales. We produced reliable estimates of GPP at sites where DO loggers were deployed using measurements of solar exposure, water temperature, and conductivity measured at each site, as well as surrogates for these data estimated from remote sensing data sources. Estimates of GPP across fish sampling sites explained, on average, 58-63% of the variation in juvenile salmonid densities during the summer sampling period, and 51-83% during the fall sampling period, while continuous network predictions of GPP explained 44% of the variation in fish densities across 29 km of the MFJD. Further, GPP explained nearly half of the variation in juvenile steelhead dietary resource limitation, as inferred from bioenergetics modeling results. These results comprise a first effort at quantifying variation in autochthonous production across an entire river network and, importantly, provide a much-needed food-web context for guiding more effective fish and habitat management.

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“…, Wheaton et al. ). For example, network models developed for water temperature have greatly assisted efforts to model the effects of climate change (e.g., Isaak et al.…”

Section: Discussionmentioning

confidence: 99%

“…, Wheaton et al. ). The MFJD IMW constitutes an 827‐km 2 watershed, ranging in elevation from ~1050 m to 1900 m. Riparian vegetation in the MFJD watershed takes two predominate forms.…”

Section: Methodsmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Modeling Gross Primary Productionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A network model for primary production highlights linkages between salmonid populations and autochthonous resources

et al. 2018

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Automated analysis of lateral river connectivity and fish stranding risks. Part 2: Juvenile Chinook salmon stranding at a river rehabilitation site

Larrieu

Pasternack

2021

Ecohydrology

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The dynamics of fish stranding have not been academically investigated within the context of physical adjustments to rivers for habitat enhancement purposes. River projects may aim to help fish populations but instead may function as attractive nuisances reducing populations because of unaccounted‐for stranding risk. This study applies a novel algorithm to predict spatially explicit, meter‐resolution fish stranding risk at a river rehabilitation site in California to address three scientific questions. Postproject disconnected wetted area predictions were validated against water surface elevation measurements and time lapse photography of flow reductions and stranding events. A comparison of preproject, final design, and postproject topographies revealed that the occurrence and severity of stranding events is highly sensitive to side‐channel topographic structure and postproject morphodynamic change. Even with moderate flows, side‐channel exits tend to close off by bars built across them via bedload transport. Implications for river management practices and river rehabilitation project design are discussed.

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Recent remote sensing applications for hydro and morphodynamic monitoring and modelling

Entwistle

Milan

2018

Earth Surf Processes Landf

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It is not new to recognize that data from remote sensing platforms is transforming the way we characterize and analyse our environment. The ability to collect continuous data spanning spatial scales now allows geomorphological research in a data rich environment and this special issue [coming just eight years after the 2010 special issue of Earth Surface Processes and Landforms (ESPL) associated with the remote sensing of rivers] highlights the considerable research effort being made to exploit this information, for studies of geomorphic form and process. The 2010 special issue on the remote sensing of rivers noted that fluvial remote sensing articles made up some 14% of the total river related articles in ESPL. A similar review of articles up to 2017 reveals that this figure has increased to around 25% with a recent proliferation of articles utilizing satellite-based data and structure from motion photogrammetry derived data. It is interesting to note, however that many studies published to date are proof of concept, concentrating on confirming the accuracy of the remotely sensed data at the expense of generating new insights and ideas on fluvial form and function. Data is becoming ever more precise and researchers should now be concentrating on analysing these early data sets to develop increased geomorphic insight, to challenge existing paradigms and to advance geomorphic science. The prospect of this occurring is increased by the fact that many of the new remote sensed platforms allow accurate spatial data to be collected cheaply and efficiently, reducing the need for substantial research funding to advance river science. Fluvial geomorphologists have never before been in such a liberated position. As techniques and analytical skills continue to improve it is inevitable that the prediction that remotely sensed data will revolutionize our understanding of geomorphological form and process will prove true, altering our ideas on the very nature of system functioning in the process.

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Upscaling site‐scale ecohydraulic models to inform salmonid population‐level life cycle modeling and restoration actions – Lessons from the Columbia River Basin

Cited by 39 publications

References 148 publications

A network model for primary production highlights linkages between salmonid populations and autochthonous resources

A network model for primary production highlights linkages between salmonid populations and autochthonous resources

Automated analysis of lateral river connectivity and fish stranding risks. Part 2: Juvenile Chinook salmon stranding at a river rehabilitation site

Recent remote sensing applications for hydro and morphodynamic monitoring and modelling

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