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The National Cohesive Wildland Fire Management Strategy, initiated in 2009 and finalized in 2014, provides a national vision for wildland fire management. This highly collaborative effort establishes three overarching goals, and describes stakeholder-driven processes for achieving them: (1) resilient landscapes; (2) fire-adapted communities; and (3) safe and effective wildfire response. The scientific rigor of this program was ensured with the establishment of the National Science and Analysis Team (NSAT). The main tasks of NSAT were to compile credible scientific information, data, and models to help explore national challenges and opportunities, identify a range of management options, and help set national priorities...
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Geographic relationships among energy infrastructure development, regional economic linkages, and the environment is crucial for understanding the impacts of Appalachian energy extraction activities and for regional planning efforts focused on the ecosystem services that may be affected. The U.S. Energy Information Administration (EIA) provides impartial and independent data on the nation’s energy infrastructure, its sources, flows, and end uses, as well as forecasts and outlooks. Location information for specific extraction activities, as well as power plants and other supply chain components, can help reveal the regional nature of specific impacts and the often large distances between those effects and end-use...
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This data release consists of statistical predictions of daily salinity time series generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope includes the predictions for 91 locations within bays and estuaries of the Gulf of Mexico, United States. The 91 locations are organized across 15 salinity groups and represented in the organizational structure of this data release. The input data files of imputed salinity (observations, response variable) and covariates (predictor variables)...
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This dataset contains depths and bottom velocities at discreet sampling locations in the St. Clair-Detroit River System. Measurements were made to complement data on fish egg deposition in the St. Clair-Detroit Rivers from 2005-2016. Depth measurements were made with a boat mounted sonar unit at the beginning of spring and fall sampling season from 2005-2016. Water velocities near the river bed were measured in 2013 and 2015 using a handheld velocity meter attached to a 6.8 kg sounding weight. The sounding weight was lowered off the side of a boat to the river bottom and then lifting the weight slighlty off the bottom to ensure the weight and velocity meter were properly oriented with the current, the mean velocity...
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Densities of Hexagenia spp. mayfly nymphs by age class are presented from 1999 through 2014. This range is significant in that it includes the year of peak abundance following recovery from ~4 decades of near extirpation (~1960 through the mid-1990s) through a period of decline. This range overlaps with fluctuations in abundance of other potentially relevant species, such as Round Goby and Dreissena spp. mussels. A novelty of these data is the separation of age classes, which provides for potentially novel approaches to assessing mayfly trends.
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Assessing the distribution and abundance of both predator and prey (forage) fish species is a cornerstone of ecosystem-based based fishery management, and supports decision making that considers food-web interactions. In support of binational Great Lakes fishery management the objectives of this survey were to: provide estimates of densities of key forage and predator species in the western basin of Lake Erie, to assess seasonal and spatial distributions of fishes, and to assess year class strength. A systematic grid sampling approach with 41 stations was sampled during June (Spring) and September (Autumn), starting in 2013. This data release adds 2017 data to the set – making it five years of continuous observation.


    map background search result map search result map US Power Plant Locations U.S. Forest Service National Cohesive Fire Strategy Dataset Forest Product Production Water Depths and Velocities at Fish Egg Sampling Sites in the St. Clair-Detroit River System, 2005-2016 Densities of Hexagenia mayfly nymphs in western Lake Erie, 1999-2014 Lake Erie Fish Community Data, 2013-2017 Modeled daily salinity derived from multiple machine learning methodologies for 91 salinity monitoring sites in the northern Gulf of Mexico, 1980–2021 Densities of Hexagenia mayfly nymphs in western Lake Erie, 1999-2014 Lake Erie Fish Community Data, 2013-2017 Water Depths and Velocities at Fish Egg Sampling Sites in the St. Clair-Detroit River System, 2005-2016 Modeled daily salinity derived from multiple machine learning methodologies for 91 salinity monitoring sites in the northern Gulf of Mexico, 1980–2021 U.S. Forest Service National Cohesive Fire Strategy Dataset Forest Product Production US Power Plant Locations