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We will develop a set of linked models to help predict the effects of climate change on rivers and endangered species. These will include watershed- and reach-scale models to predict streamflow, water temperatures, and other fish habitat metrics under various climatic scenarios for the reaches used by species listed under the Endangered Species Act (ESA), plus a combined bioenergetics and life-cycle model (to be done by the U.S. Geological Survey [USGS]) to assess the impact of these factors on fish growth, reproduction, and survival. We propose to test the model framework at a site on the Methow River, Washington, to explore additional opportunities for collaboration and model development.
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Description of Work USGS will conduct monthly samples of benthic invertebrates, zooplankton, and water quality as well as seasonal sampling of fish and fish diets. This project supports lower trophic sampling in Lake Erie and understanding food webs. An emphasis will be collecting samples from a nearshore to offshore design.
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In 2014, the USGS Lake Erie Biological Station participated in the Coordinated Science and Monitoring Initiative (CMSI) program, a program founded by the U.S. Environmental Protection Agency (EPA) and Environment Canada in the 1990s as a means to focus collaborative research attention on one of the five Great Lakes each year (on a rotating schedule) as a means to increase scientific knowledge for Great Lakes restoration. The Lake Erie survey examined the food web across a nearshore to offshore gradient, matching the sampling design the preceding USGS studies of the other four Great Lakes (2010-2013). We sampled all trophic levels in all three lake basins across multiple seasons in order to determine nutrient availability...
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Kootenai river hydraulic conditions were simulated using the iRIC FaSTMECH two-dimensional hydraulic flow model (Nelson, 2003). In addition to this study, FaSTMECH 2D flow models have been developed for numerous Kootenai River studies dating back to 2005. The methods used to develop, calibrate, and simulate FaSTMECH 2D flow models are described at length in multiple previous studies (Fosness and Dudunake, in press; Barton and others, 2005; Barton and others, 2007; Logan and others, 2011; McDonald and others, 2016; McDonald and Nelson, 2018; McDonald and Nelson, 2020). Model simulations were combined with white sturgeon telemetry data to explain fish positions with respect to selected depths and depth-averaged velocity.
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Aquatic Biology, Bonners Ferry, Boundary, Ecology, Idaho, All tags...
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This research focuses on assessing large scale tidal marsh restoration for the carbon co-benefits of foodweb support and carbon sequestration potential. By assessing wildlife co-benefits with carbon accounting, this project will link traditional objectives of protecting, restoring, and managing diverse wetlands to support habitats and species with carbon dynamics and sequestration. This study addresses interconnected C processes and dynamics including: * Identify carbon sources that support Chinook foodwebs * Compare to the carbon sources that are stored in peat * Determining Net Ecosystem Carbon Balance within in a reference and restored marsh * Evaluate land use and vegetation change over time * Assessing...


    map background search result map search result map Evaluating Climate-Induced Runoff and Temperature Change on Stream Habitat Metrics for Endangered or Threatened Fish - BOR Project FY2011 Cooperative Science and Monitoring Initiative (CSMI) - LAKE ERIE Nisqually NWR Carbon Lake Erie Collaborative Science and Monitoring Initiative 2014 White sturgeon fine-scale habitat model archive, Kootenai River near Bonners Ferry, Idaho, 2017 White sturgeon fine-scale habitat model archive, Kootenai River near Bonners Ferry, Idaho, 2017 Nisqually NWR Carbon Evaluating Climate-Induced Runoff and Temperature Change on Stream Habitat Metrics for Endangered or Threatened Fish - BOR Project FY2011 Cooperative Science and Monitoring Initiative (CSMI) - LAKE ERIE Lake Erie Collaborative Science and Monitoring Initiative 2014