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This dataset includes all of the variables that were used in predictive models to estimate nitrogen and phosphorus fertilizer use from commercial fertilizer sales data at the catchment/county level for the Conterminous U.S. for the year 2012. The dataset includes model input at the catchment/county level. A companion USGS Scientific Investigations Report describes the methods and subsequent results of two models developed for estimating elemental nitrogen and phosphorus commercial fertilizer use on agricultural lands for the conterminous US at the catchment/county scale for the year 2012. A companion data release provides catchment-level estimates of nitrogen and phosphorus fertilizer use, for agricultural lands,...
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This shapefile is the official boundary of the Great Lakes Basin Fish Habitat Partnership. The boundary was originally developed by the United States Fish and Wildlife Service and was updated in 2013 to reflect revisions from the Southeast Aquatic Resource Partnership, a recognized Fish Habitat Partnership (FHP) of the National Fish Habitat Partnership.
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This dataset contains catchment-level estimates of nitrogen and phosphorus fertilizer use, for agricultural lands, for the conterminous U.S., for 2012. An approach was developed to relate farm commercial fertilizer sales data from the Association of American Plant Food Control Officials (AAPFCO) to a set of explanatory variables using spatially-referenced modeling methods. Separate models for nitrogen and phosphorus are developed to estimate elemental fertilizer use on agricultural lands for the conterminous U.S. at the National Hydrography Dataset Plus version 2 (NHDPlusV2) catchment scale. The approach builds on earlier efforts that use Association of American Plant Food Control Officials (AAPFCO) data on fertilizer...
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In 2004, 2007, 2010, and 2013, the U.S. Geological Survey sampled benthic algae and invertebrates, and fish to assess the condition of the aquatic communities and water quality in 14 wadable streams near Milwaukee, Wisconsin. Additional community sampling was also done at a subset of three sites in 2011 and 2012 to assess temporal variation. Selected environmental (physical and chemical) data in the streams were collected to evaluate potential relations to the biota and the ecological health of the streams. Physical and chemical data included land-use/land cover; streamflow from USGS gages (except at two creeks that were not gaged); stream habitat; microhabitat at invertebrate collection points (depth, velocity,...
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Climate change is expected to alter stream temperature and flow regimes over the coming decades, and in turn influence distributions of aquatic species in those freshwater ecosystems. To better anticipate these changes, there is a need to compile both short- and long-term stream temperature data for managers to gain an understanding of baseline conditions, historic trends, and future projections. Unfortunately, many agencies lack sufficient resources to compile, conduct quality assurance and control, and make accessible stream temperature data collected through routine monitoring. Yet, pooled data from many sources, even if temporally and spatially inconsistent, can have great value both in the realm of stream temperature...
Human impacts occurring throughout the Northeast and Midwest United States, including urbanization, agriculture, and dams, have multiple effects on the region’s streams which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project met that need by integrating results of a current condition assessment of stream habitats based on fish response to human land use, water quality impairment,...
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Fish sample collections and environmental variables from multiple sources across the United States Great Lakes Basin were integrated and used to develop empirical models to predict fish species occurrence under present-day climate conditions. Random Forests models were used to predict the probability of occurrence of 13 lotic fish species within each stream reach in the study area. Downscaled climate data from general circulation models were integrated with the fish species occurrence models to project fish species occurrence under future climate conditions. Model Name (Name of the model, including acronyms): FishVis Model Version (Version of the model, (i.e., 2.0)): 1.0 Abstract (Description or summary of the...
The U.S. Geological Survey (USGS) Water Use program, responding to directives in Section 9508 of the SECURE Water Act of 2009, provides improved water use data collection techniques as well as development of estimation methods and development and application of water use models to improve reporting of water withdrawal and consumptive use information for 8 categories of use (public supply, domestic, irrigation, thermoelectric power, self-supplied industrial, mining, livestock, and aquaculture). The Water Use program has been strategically designed to achieve multiple objectives in the USGS Water Mission Area (WMA) Strategic Science Plan, including Goal 2, Objective 2.4 - Develop a comprehensive understanding of human...
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The United States Geological Survey’s (USGS) SPAtially Referenced Regressions On Watershed attributes (SPARROW) model was developed to aid in the interpretation of monitoring data and simulate water-quality conditions in streams across large spatial scales. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based streamflow...
The intent of this webinar is to introduce a decision support tool that displays results of a stream fish habitat condition assessment for current and future time periods in the NE CSC region. To characterize current condition of stream habitats, we developed three indices based on fish species response to land use, water quality impairment, and stream fragmentation by large dams. Using these indices, streams were scored to reflect their risk of habitat degradation. We also classified streams based on current climate and sensitivity of fish species to a suite of water temperature and flow metrics. These relationships were used to assign stream classes based on future climate conditions. This allowed us to identify...
Climate change is expected to alter stream temperature and flow regimes over the coming decades, and in turn influence distributions of aquatic species in those freshwater ecosystems. To better anticipate these changes, there is a need to compile both short- and long-term stream temperature data for managers to gain an understanding of baseline conditions, historic trends, and future projections. Unfortunately, many agencies lack sufficient resources to compile, conduct quality assurance and control, and make accessible stream temperature data collected through routine monitoring. Yet, pooled data from multiple sources, even if temporally and spatially inconsistent, can have great value both in the realm of stream...
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Description of Work U.S. Geological Survey (USGS) will develop and provide forecasting tools for managers to determine how water withdrawals or other hydrologic or land use changes in watersheds may affect Great Lakes ecosystems. This information will help guide restoration efforts to achieve maximum effectiveness and success. Project provides unified information across the Great Lakes Basin for ecosystem restoration, assessment, and management by incorporating models that relate changes in landscape and hydrologic variables and stresses to changes in ecosystem function. The project relies upon regionally consistent hydrologic, biologic, and geospatial data to generate regionally consistent estimates, models, and...
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Climate change is expected to alter the distributions and community composition of stream fishes in the Great Lakes region in the 21st century, in part as a result of altered hydrological systems (stream temperature, streamflow, and habitat). Resource managers need information and tools to understand where fish species and stream habitats are expected to change under future conditions. Fish sample collections and environmental variables from multiple sources across the United States Great Lakes Basin were integrated and used to develop empirical models to predict fish species occurrence under present-day climate conditions. Random Forests models were used to predict the probability of occurrence of 13 lotic fish...
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Human impacts occurring throughout the DOI Northeast Climate Science Center, including urbanization, agriculture, and dams, have multiple effects on streams in the region which support economically valuable stream fishes. Changes in climate are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing stream water temperatures. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project met that need by integrating results of a current condition assessment of stream habitats based on fish response to human land use, water quality impairment,...


    map background search result map search result map NorEaST: A Tool to Understand the Responses of Fish to Changes in Stream Temperature FishTail: A Tool to Inform Conservation of Stream Fish Habitats in the Northeast Official Recognized Boundary of Great Lakes Basin Fish Habitat Partnership, 2013 Watershed modeling for stream ecosystem management FishVis, predicted occurrence and vulnerability for 13 fish species for current (1961 - 1990) and future (2046 - 2100) climate conditions in Great Lakes streams Water-quality and streamflow datasets used for estimating long-term mean daily streamflow and annual loads to be considered for use in regional streamflow, nutrient and sediment SPARROW models, United States, 1999-2014 Dataset used for estimating catchment-level nitrogen and phosphorus fertilizer use from commercial fertilizer sales data for the Conterminous U.S., 2012 Catchment-Level Predictions of Nitrogen and Phosphorus Fertilizer Use from Commercial Fertilizer Sales Data for the Conterminous U.S., 2012 Aquatic community and environmental data for 14 rivers and streams in the Milwaukee Metropolitan Sewerage District Planning Area, 2004-13 Aquatic community and environmental data for 14 rivers and streams in the Milwaukee Metropolitan Sewerage District Planning Area, 2004-13 Watershed modeling for stream ecosystem management Official Recognized Boundary of Great Lakes Basin Fish Habitat Partnership, 2013 FishVis, predicted occurrence and vulnerability for 13 fish species for current (1961 - 1990) and future (2046 - 2100) climate conditions in Great Lakes streams FishTail: A Tool to Inform Conservation of Stream Fish Habitats in the Northeast NorEaST: A Tool to Understand the Responses of Fish to Changes in Stream Temperature Water-quality and streamflow datasets used for estimating long-term mean daily streamflow and annual loads to be considered for use in regional streamflow, nutrient and sediment SPARROW models, United States, 1999-2014 Dataset used for estimating catchment-level nitrogen and phosphorus fertilizer use from commercial fertilizer sales data for the Conterminous U.S., 2012 Catchment-Level Predictions of Nitrogen and Phosphorus Fertilizer Use from Commercial Fertilizer Sales Data for the Conterminous U.S., 2012