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  • Joe Wheaton

New FHC, ET-AL or ELR Publications

Low-Tech Restoration making a difference if you can measure it from space!

9/3/2018

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Together with Nick Silverman and a team of researchers from University of Montana, NRCS's Sage Grouse Initiative in this paper we show that low-tech, process based restoration can make a measurable difference in productivity of mesic habitats (i.e. wet meadows).  Using three iconic restoration projects as examples:
  • Gunnison, CO - Zeedyk Structures
  • Bridge Creek, OR - Beaver Dam Analogues
  • Maggie Creek, NV - Grazing Management & Beaver Recovery
We show not only can these cheaper and affordable restoration techniques achieve the desired results by affecting large areas, they can also be measured simply from space with satellite imagery. The calculations shown in the paper can be done by anyone, for mesic habitats in the Western US using SGI's Mapping Tools.
Do calculations yourself with SGI's Mapper
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Leveraging Google Earth Engine and SGI's Mesic Habitat Mapper, this paper shows three low-tech restoration projects that hit the system hard enough you could measure it from space with the blunt instrument of 30 m resolution satellite imagery (i.e. LANDSAT).
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  1. Silverman NL, Allred BW, Donnelly JP, Chapman TB, Maestas JD, Wheaton J, White J and Naugle DE. 2018. Low-tech riparian and wet meadow restoration increases vegetation productivity and resilience across semi-arid rangelands. Restoration Ecology. DOI: 10.1111/rec.12869.​
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Nahorniak et al. Paper on how to automate Delft Hydraulic modelling with AWS for 1000's of visits

9/3/2018

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In this paper, Matt Nahorniak lays out how we took advantage of open-source Delft3D to automate the process of computational mesh generation from high resolution topography for reaches. We automated this for the generation of hydraulic models for over 5000 site visits in the Columbia Habitat Monitoring Program (now defunded by BPA) and automated these simulations on Amazon Web Services (AWS EC2). While we are no longer running these simulations for CHaMP, all those model runs (and the 950+ sites from which they came) are publicly available and the source code is open source. This technique is a game changer for properly leveraging high resolution topography of rivers to realize the vision laid out in Wheaton et al. (2017).

All the source code is freely available through our Riverscapes Consortium repository: 
Source Code Repository
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  • Nahorniak M, Wheaton J, Volk C, Bailey P, Reimer M, Wall E, Whitehead K and Jordan C. 2018. How do we efficiently generate high-resolution hydraulic models at large numbers of riverine reaches? Computers & Geosciences. 119: 80-91. DOI: 10.1016/j.cageo.2018.07.001.
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RCAT - assessing riparian condition across the western US Paper published

9/3/2018

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Wally Macfarlane led this effort to get vetted the rest of the Riparian Condition Assessment Tool (RCAT - A Riverscapes Consortium Model) peer-reviewed and disseminated. We had previously (Macfarlane et al. 2016) published a key component of the model - the riparian vegetation departure. This paper shows how that line of evidence can be combined with other lines of evidence to estimate and overall riparian condition for every reach of stream in a drainage network.  In this paper, we illustrate its application by adding floodplain accessibility and land use intensity as additional lines of evidence.
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  • Macfarlane WW, Gilbert JT, Gilbert JD, Saunders WC, Hough-Snee N, Hafen C, Wheaton JM and Bennett SN. 2018. What are the Conditions of Riparian Ecosystems? Identifying Impaired Floodplain Ecosystems across the Western U.S. Using the Riparian Condition Assessment (RCA) Tool. Environmental Management. DOI: 10.1007/s00267-018-1061-2.
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Fig 6 from paper showing examples of riparian condition assessment (RCA) outputs for watersheds across the Interior Columbia River Basin.
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Dan Hamill publishes his thesis research on side-scan sonar in Plos One

9/3/2018

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Dan Hamil did his Masters research on how to make Side-Scan SONAR into useful geospatial data for mapping bed roughness.  He employed Dan Buscombe's PyHum software.  PyHum is an open-source project dedicated to provide a generic Python framework for reading and exporting data from Humminbird(R) instruments, carrying out rudimentary radiometric corrections to the data, classify bed texture, and produce some maps on aerial photos and kml files for google-earth. This paper vets some of the methods behind doing that with a case study from the Grand Canyon. 

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  • Hamill D, Buscombe D and Wheaton JM. 2018. Alluvial substrate mapping by automated texture segmentation of recreational-grade side scan sonar imagery. PLOS ONE. 13(3): e0194373. DOI: 10.1371/journal.pone.0194373.
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Gravel Bed Rivers Chapter on 'Revisiting the Morphological Approach' finally out!

3/1/2018

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Back in 2015, Damia Vericat, James Brasington and Joe put together a chapter reviewing the morphological approach to estimating sediment transport from repeat topographic surveys. There was a surprising lack of examples in the literature of the method being used in the recent literature or high resolution topographic surveys being exploited for this purpose. We review the various ways the approach can be implemented and show some examples. 

  • 2017. Vericat D, Wheaton JM and Brasington J. Revisiting the Morphological Approach, Gravel-Bed Rivers. John Wiley & Sons, Ltd, pp. 121-158. DOI:  10.1002/9781118971437.ch5. (see Damia's talk here)
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Originally posted May 18, 2017, 3:41 PM by Joe Wheaton
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State of Science Paper in ESPL lays out an agenda and framework for using mechanistic ecohydraulic models to inform salmonid life cycle models across at a population scale.

3/1/2018

1 Comment

 
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In this ambitious State of the Science article we lay out a pragmatic method for realizing the vision Fausch et al. (2002) spelt out over 15 years ago. Many years of geomorphology and ecohydraulic research at the reach-scale has led to better mechanistic understanding of the drivers of fish habitat. However, little of this research has been directly tied across entire riverscapes to assess the significance of fish habitat on actual fish populations. We lay out a framework, using the wealth of data from Columbia Habitat Monitoring Program (CHaMP) to connect the dots and upscale this understanding across entire drainage networks.  In McHugh et al. (2017) we present a case study of how this is actually done. In Wheaton et al. (2017), we illustrate and describe conceptually how to leverage various advances that have been made in isolation in the fields of remote sensing, ecohydraulics, network modelling and life cycle modelling to take things a step further and answer some fundamental questions about fish populations of major societal and management relevance.

  1. 2017. Wheaton J, Bouwes N, McHugh P, Saunders WC, Bangen SG, Bailey PE, Nahorniak M, Wall CE and Jordan C. Upscaling Site-Scale Ecohydraulic Models to Inform Salmonid Population-Level Life Cycle Modelling and Restoration Actions – Lessons from the Columbia River Basin. Earth Surface Processes and Landforms. DOI: 10.1002/esp.4137
References:
  • Fausch, KD, Torgersen, CE, Baxter, CV and Li, HW, 2002. Landscapes to riverscapes: Bridging the gap between research and conservation of stream fishes. Bioscience, 52(6): 483-498. DOI: 10.1641/0006-3568(2002)052[0483:ltrbtg]2.0.co;2.
  • 2017. McHugh P, Saunders C, Bouwes N, Wall E, Bangen S, Wheaton J, Nahorniak M, Ruzycki J, Tattam I and Jordan C.  Linking models across scales  to assess the viability and restoration potential of a threatened population of steelhead (Oncorhynchus mykiss) in the Middle Fork John Day River, Oregon, USA. Ecological Modelling, 355: pp 24-38.  DOI: 10.1016/j.ecolmodel.2017.03.022.

Originally posted May 17, 2017, 5:35 PM by Joe Wheat
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Paper by McHugh et al. (2017) shows how life cycle models can be used to assess restoration alternatives

3/1/2018

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Pete McHugh and Carl Saunders led this effort in the Middle Fork John Day to demonstrate how site scale NREI models (e.g. Wall et al, 2016) to inform network scale models to produce fish population capacity estimates that can drive life cycle models. They then use this approach to produce realistic restoration scenarios to see what sort of capacity increases might be produced by various restoration alternatives and what (if any) population level impact this may have. This framework and vision was laid out conceptually in Wheaton et al. (2017), and this case study application and the online supplement provide many of the methodological details for how to pull it together. The McHugh et al. (2017) paper was just published in Ecological Modelling.
  • 2017. McHugh P, Saunders C, Bouwes N, Wall E, Bangen S, Wheaton J, Nahorniak M, Ruzycki J, Tattam I and Jordan C.  Linking models across scales  to assess the viability and restoration potential of a threatened population of steelhead (Oncorhynchus mykiss) in the Middle Fork John Day River, Oregon, USA. Ecological Modelling, 355: pp 24-38.  DOI: 10.1016/j.ecolmodel.2017.03.022.
References:
  1. 2016. Wall E, Bouwes N, Wheaton JM, Bennett SN, Saunders WC, McHugh PA, and Jordan CE. Design and monitoring of woody structures and their benefits to juvenile steelhead trout (Oncorhynchus mykiss) using a net rate of energy intake model. Canadian Journal of Fisheries and Aquatic Sciences. DOI: 10.1139/cjfas-2016-0131.
  2. 2017. Wheaton J, Bouwes N, McHugh P, Saunders WC, Bangen SG, Bailey PE, Nahorniak M, Wall CE and Jordan C. Upscaling Site-Scale Ecohydraulic Models to Inform Salmonid Population-Level Life Cycle Modelling and Restoration Actions – Lessons from the Columbia River Basin. Earth Surface Processes and Landforms. DOI: 10.1002/esp.4137​

Originally posted May 17, 2017, 5:17 PM by Joe Wheaton
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New Article on Temperature Impacts of BDAs

3/1/2018

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Nick Weber led an effort to publish findings from the Bridge Creek beaver restoration project on impacts of beaver dam analogues (BDAs) on summer stream temperatures. The Weber et al. (2017) paper was just published in PLOSone.

  • 2017. Weber N, Bouwes N, Pollock M, Volk C,  Wheaton JM, Wathen G, and Jordan C. Alteration of stream temperature by natural and artificial beaver dams. PLOS ONE. 12(5): e0176313. DOI: 10.1371/journal.pone.0176313

Originally posted May 17, 2017, 5:06 PM by Joe Wheaton
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River Styles Assessment of Middle Fork John Day Published in Journal of Maps

3/1/2018

0 Comments

 
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Gary O'Brien led this effort with collaborators Kirstie Fryirs and Gary Brierley. In this Journal of Maps article, we show how a geomorphic assessment using River Styles can be used to inform watershed restoration planning and prioritization:
  • O’Brien, GR, Wheaton, J, Fryirs, K, McHugh, P, Bouwes, N, Brierley, G and Jordan, C, 2017. A geomorphic assessment to inform strategic stream restoration planning in the Middle Fork John Day Watershed, Oregon, USA. Journal of Maps, 13(2): 369-381.DOI: 10.1080/17445647.2017.1313787.
  • See here for Atlas​

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Originally posted Apr 23, 2017, 6:42 PM by Joe Wheaton
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Simple method for estimating water storage in beaver ponds

3/1/2018

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Daniel Karran (a PhD student of Cherie Westbrook at University of Saskatchewan) led an effort to test how well simple methods for estimating surface water storage volume from just surface area and dam height works for beaver ponds. The methods have been used widely in estimating storage in wetlands and prairie pot-holes, and provide a nice morphometric approach to estimating dams from area (easy to measure off aerial imagery) and dam height, which can be quickly measured in the field. This allows foregoing the effort of full topographic surveys to estimate pond volumes.  Given the growing interest in beaver as a restoration and climate adaptation tool, methods for quickly estimating their impact on hydrology (in this case through increasing surface water storage) are very topical. 

  • Karran, DJ, Westbrook, CJ, Wheaton, JM, Johnston, CA and Bedard-Haughn, A, 2017. Rapid surface-water volume estimations in beaver ponds. Hydrol. Earth Syst. Sci., 21(2): 1039-1050. DOI: 10.5194/hess-21-1039-2017.

Originally posted Feb 20, 2017, 1:31 PM by Joe Wheaton
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    • Past Projects >
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        • DOE/ICRRR: MoRPHED PhD Studentship
      • Idaho Power Company >
        • Idaho Power: TLS Data Analysis
      • ELR >
        • ELR/BPA: CHaMP Grand Ronde Crew Variability Study
        • ELR/BPA: ISEMP Lemhi Topographic Survey Technique Intercomparison
        • ELR/BPA: ISEMP Bridge Creek Restoration & IMW
        • ELR/FHC/CTWS: Pine Creek Beaver Assisted Restoration Pilot Project
      • NSF >
        • NSF: zCloudTools: Making Point Clouds Useful for Earth Science
        • NSF: Sensitivity of Braided River Morphodynamics to Sediment Supply
      • UDWR >
        • UDWR: Beaver Restoration Assessment Tool (BRAT)
      • USFS >
        • USFS Classification of Columbia River Basin Riparian Vegetation
        • USFS: Comparison of Traditional Versus Ground-Based LiDaR Instream Haibtat Assessments
        • USFS: Temple Fork Watershed Fish & Beaver Ecology
      • USGS >
        • USGS: Big Rivers Monitoring Protocol Development
        • USGS: Dynamism and Persistence of Eddy Sand Bars in Grand Canyon
        • USGS: Riparian Vegetation Analysis
        • USGS: Support in Geographic and Geomorphic Information Analysis for the Colorado River in Grand Canyon
      • Other Sponsors (one off) >
        • BPA/SFR: Development of CHaMP Transformation Tool
        • GCT: Pilot Study: Testing the Beaver Restoration Assessment Tool (BRAT)
        • NOAA: Linking Fisheries,
        • NPS: Assessment of Indicator Sites
        • USU: Tracking Ecogeomorphic Dynamics in Beaver Dam Complexes
    • Study Site Pages >
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        • 2009 BDSS Structures
        • Bridge Creek April 2010 Drone Survey
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