Predicted channel types - Potential for Habitat Improvement in the Columbia River Basin
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Basin-wide analysis of potential to improve tributary habitats in the Columbia River basin through restoration of habitat-forming processes. Identification of geomorphological target conditions for river restoration is typically based on locally measured reference conditions, yet few reference sites remain in much of the 630,000 km2 Columbia River Basin, USA. Therefore, we predict reference conditions throughout the basin based on key reach-scale variables, which we empirically derived from a limited number of reference sites. Our typology predicts channel type based primarily on channel slope in confined reaches (floodplain width less than 4 times the bankful channel width) and on slope, drainage area, precipitation, and relative transport capacity in unconfined reaches (floodplain width greater than 4 times channel width). Channel types are cascade, step-pool, plane-bed, and pool-riffle in confined reaches, and braided, island-braided, meandering, and straight in unconfined reaches. Accuracy of channel type prediction in confined reaches is generally high compared to prediction accuracy in unconfined reaches. Lower accuracy in the unconfined reaches is largely due to vertical accuracy of the 10- m digital elevation model (DEM), which is insufficient to accurately estimate channel slope in low relief areas. However, lack of sediment supply information also limits our ability to predict floodplain channel type accurately. Therefore, we evaluate the effect of incorporating an estimate of relative transport capacity to help separate single thread channels (straight and meandering) from multi-thread channels (braided and island-braided) and increase prediction accuracy. Finally, we use existing ecoregion maps to show how channel type distributions vary among geologic regions, and suggest analysis options for mapping reference condition across large river basins. We also attempted to develop a GIS data set that depicts pre-settlement riparian vegetation in the Columbia River Basin to guide stream restoration for endangered salmon. To do this, we first created a data layer of historic riparian vegetation information from survey notes that were taken mid 19th to early 20th century during the Public Land Survey System (PLSS) conducted by General Land Office (GLO). Our reconstructed riparian vegetation data included randomly sampled basin-wide data (drainage area 200,000 km2), as well as intensively reconstructed watershed-level data (3,000 km2). Our modeled output was too inaccurate to be useful. GIS hydrography layer with multiple stream attributes.
Columbia River ESI: HYDRO (Hydrography Lines and Polygons)
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This data set contains vector lines and polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Columbia River. The HYDRO data layer contains all annotation used in producing the atlas. The annotation features are categorized into three subclasses in order to simplify the mapping and quality control procedures: GEOG, or geographic features; SOC, or socioeconomic features; and HYDRO, or water features.This data set comprises a portion of the ESI data for Columbia River. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.
Habitat Analysis - Trinity River Restoration Potential
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The goal of the Trinity River project is to identify the potential positive effects of large-scale restoration actions in a 63 kilometer reach of the Trinity River below Lewiston Dam, in the hope of guiding on the ground restoration actions. River restoration plans often propose numerous rehabilitation actions to address key habitat impairments for salmonids. However, restoration plans rarely propose alternative sets of actions or attempt to quantify the potential benefits to targeted biota. In this paper, we use geomorphic and biological analyses to estimate restoration potential for each of 37 reaches in a 64-km section of Trinity River, California, from the North Fork Trinity River to Lewiston Dam (the focus of habitat rehabilitation efforts under the Trinity River Restoration Program). We first predicted the channel pattern that might develop based in each reach on slope-discharge criteria, and then used these potential patterns along with floodplain width to estimate the maximum sinuosity that restoration actions could likely achieve, as well as a maximum side-channel length that might be created in each reach. For each scenario, we then used existing stream habitat and juvenile salmonid data from previous studies in the Trinity River and other watersheds to determine current and restored carrying capacity. Potential increases in Chinook and steelhead carrying capacity range from 39% for a relatively realistic estimate of increasing habitat quality (more low velocity areas with cover) to 67% for a more optimistic scenario that increases both sinuosity and habitat quality. Only the most optimistic scenario that increases habitat quality, increases sinuosity, and constructs tens of kilometers of side channels more than doubles potential juvenile salmonid production (140% increase). These quantitative predictions provide a frame of reference for evaluating alternative restoration options, and for setting measureable restoration goals. Database of habitat capacity estimates.
Columbia River ESI: INVERT (Invertebrate Polygons)
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This data set contains sensitive biological resource data for clams, oysters, crabs, and other invertebrate species in Columbia River. Vector polygons in this data set represent locations of concentrations areas for these invertebrate species. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Columbia River. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.
Deepwater Horizon Restoration, Louisiana Outer Coast Restoration Vegetation Analysis for the Caillou Lake Headland Restoration - 2019, 2022 ID 35
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Restoration of beach, dune, and back-barrier marsh habitats at the Caillou Lake Headlands location occurred on Whiskey Island, a barrier island in the Isle Dernieres reach of the Terrebonne Basin barrier system. The project was federally authorized under the Water Resources Development Act of 2007 and selected as a preferred alternative in the Terrebonne Basin Barrier Shoreline Restoration (TBBSR) Integrated Feasibility Study and Final Environmental Impact Statement (United States Corps of Engineers (USACE) 2010)), and included in the 2012 Louisiana's Comprehensive Master Plan for a Sustainable Coast. The restoration used approximately 10.5 million cubic yards of sand/sediment to restore 954 acres beach, dune, and marsh. NOAA is the lead Trustee for the design and construction of this project component, working cooperatively with Louisiana and the DOI.
Columbia River ESI: FISH (Fish Polygons)
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This data set contains sensitive biological resource data for marine, estuarine, anadromous, and freshwater fish species in Columbia River. Vector polygons in this data set represent locations of fish distribution, concentration areas, spawning areas, and salmon spawning runs. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Columbia River. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the FISHL (Fish Lines) data layer, part of the larger Columbia River ESI database, for additional fish information.
Mirror Lake genetic stock - Lower Columbia River Restoration Action Effectiveness Monitoring
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1) The purpose of this project is to measure changes in juvenile salmon habitat occurrence and health following restoration activities at the Mirror Lake Complex and Horsetail Falls in the Lower Columbia River and estuary. Parameters measured include habitat conditions such as vegetation, water temperature, and dissolved oxygen; salmon diet and prey availability; weight, length, growth rate, lipid content, genetic stock, and chemical contaminant exposure. 2) Lyndal Johnson (NWFSC FTE) is the project lead, and other primary staff involved are Sean Sol and Paul Olson (NWFSC FTEs) and Kate Macneale (NWFSC term employee), but the project also involves other NWFSC FTEs, other term employees, contractors, and staff from other programs (Environmental Chemistry) and Divisions (FE, CB), as well as staff from collaborating agencies (e.g., the Lower Columbia River Estuary Partnership). 3) The project involves field surveys in which parameters measured include habitat conditions such as vegetation, water temperature, and dissolved oxygen; salmon diet and prey availability; weight, length, growth rate, lipid content, genetic stock, and chemical contaminant exposure. 4) Specific products to be produced include annual reports for the Lower Columbia Estuary Partnership, and manuscripts in peer-reviewed journals. 5) Specific audiences include (but are not limited to) the Bonneville Power Administration and other federal, state, and local agencies involved with salmon recovery and environmental management in the Columbia Basin (e.g., EPA, Washington Department of Ecology, Oregon Department of Environmental Quality, the City of Portland), the NMFS regional office, and other agency and academic scientists. 6) This is a stand-alone project, but it is also a component of a larger action effectiveness monitoring program overseen by the Estuary Partnership. 7) This is an ongoing project with a soft completion deadline; however, there are specific tasks to be completed on a yearly basis. Chinook salmon genetic stock identification.
In-stream PIT detection, estuary wetlands - Columbia River Estuary Tidal Habitats
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The goal of the tidal-fluvial estuary study is to determine the estuary's contribution to the spatial structure and life history diversity of Columbia River salmon stocks and the implications for estuary restoration. The study targets salmon use of tidal-fresh habitats in the estuary from Rkm 75 to Bonneville Dam, and addresses four primary objectives: 1. Characterize the temporal and spatial distribution of Chinook salmon genetic stock groups throughout the estuary (March 2010 - March 2012). 2. Determine stock-specific habitat use, life histories, and performance of juvenile salmon in key habitat complexes to fill data gaps in the tidal fluvial reaches of the estuary (2012-2016). 3. Monitor juvenile salmon life histories and their contributions to adult returns in selected estuary tributaries, including tributary examples where tidal habitats have been restored (2012-2018). 4. Evaluate estuary restoration needs for recovery of all salmon ESUs and account for projected effects of climate change through application of a salmon life-cycle model (2011-1015). The study, funded by the U.S. Army Corps of Engineers, involves a large team of researchers organized by NOAA Fisheries, including researchers from the Oregon Health and Sciences University, University of Washington, and Washington Department of Fish and Wildlife. The study addresses critical uncertainties identified in the research, monitoring, and evaluation (RME) program for the Federal Columbia River Estuary Program (FCREP). The Estuary Program is intended to conserve and restore the estuary ecosystem to improve the performance of listed salmonid populations. Products from the tidal-fluvial study will include: 1. Descriptions of stock-specific temporal and spatial distributions of Chinook salmon throughout the estuary. 2. Estimates of variations in Chinook salmon stock composition and stock-specific growth, food habits, consumption rates, and bioenergetic efficiencies within selected tidal-fluvial habitats. 3. Estimated contributions of estuarine life histories among returning adult Chinook salmon from selected populations throughout the Columbia River Basin. 4. A hydrological model quantifying the dynamics of rearing habitat opportunities for juvenile salmon at estuary reach and habitat scales. 5. Improved life-cycle models to account for the estuarine life histories of juvenile salmon and estimating the potential effectiveness of estuary restoration actions on the recovery and viability of selected salmon stocks. These results will directly address information needs to support estuary actions specified in the Federal Columbia River Power System (FCRPS) Biological Opinion for the Columbia River. The tidal-fluvial estuary study is part of an ongoing estuary research program initiated in 2002. The current study expands upon earlier research conducted in the lower 100 km of the estuary from 2002 to 2008. Although all objectives will be addressed by 2018 to correspond with a review of progress implementing the FCRPS Biological Opinion, some sampling activities may extend beyond this date to allow brood-year reconstruction of estuary contributions to adult returns in selected streams (Objective 3). PIT detection data (residence time, travel time) in estuary wetland channels from juvenile salmon tagged by this project and other projects.
Columbia River ESI: BIRDS (Bird Polygons)
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This data set contains sensitive biological resource data for wading birds, shorebirds, waterfowl, diving birds, seabirds, passerine birds, gulls, and terns in Columbia River. Vector polygons in this data set represent locations of bird nesting, resting, feeding, migratory staging, and wintering sites. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Columbia River. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the NESTS (Nest Points) data layer, part of the larger Columbia River ESI database, for additional bird information.
Columbia River ESI: FISHL (Fish Lines)
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This data set contains sensitive biological resource data for anadromous fish species in Columbia River. Vector lines in this data set represent locations of anadromous fish spawning runs. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Columbia River. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the FISH (Fish Polygons) data layer, part of the larger Columbia River ESI database, for additional fish information.