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The data herein report continuous field measurements and specific discrete sampling events associated with water quality and carbon consitutents – both dissolved and particulate forms. These data were coupled with atmospheric flux measurements during the 2017-18 water year to estimate the net storage of fixed carbon within the marsh on an areal basis. Direct and indirect measurement showed 47 to 59% of fixed carbon is stored on site, and most loss is through dissolved inorganic carbon (DIC) export. Comparing this with other tidal wetlands in the U.S. showed similar rates of loss, and a global meta-analysis showed that lateral loss is a proportionally larger term in coastal wetland carbon budgets, relative to other...
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Impervious runoff-discharge to receiving streams is widely recognized as one of the leading factors contributing to ecological degradation in such streams. Although there are many factors that contribute to ecological degradation with increasing development adverse effects caused by runoff quality is widely recognized as a contributing factor. The objective of this study was to simulate the flows concentrations and loads of impervious-area runoff and stormflows from an undeveloped area over a range of impervious percentages and drainage areas to examine potential relations between these variables and the quantity and quality of downstream flows. Stormwater runoff in a hypothetical stream basin that represents hydrologic...
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Ecological assessment data from the USGS National Water-Quality Assessment Program and the USEPA National River and Stream Assessment were reviewed and records were retained from sampling sites co-located with active USGS stream gages. A limited amount of ancillary data, including location, physical watershed features, and basic water chemistry data for each site were also retained.
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Region(s) of distribution of Arctic Lamprey (Lethenteron camtschaticum) (Tilesius, 1811) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic...
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Region(s) of distribution of Arctic Flounder (Liopsetta glacialis) (Pallas, 1776) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where...
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Region(s) of distribution of Chum Salmon (Oncorhynchus keta) (Walbaum, 1792) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where...
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Region(s) of distribution of Pink Salmon (Oncorhynchus gorbuscha) (Walbaum, 1792) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where...
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Region(s) of distribution of Gelatinous Seasnail (Liparis fabricii) Krøyer, 1847 in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where...
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Region(s) of distribution of Atlantic Poacher (Leptagonus decagonus) (Bloch & Schneider, 1801) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent...
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Region(s) of distribution of Bigeye Sculpin (Triglops nybelini) Jensen, 1944 in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where...
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LUCAS-W is a scenario-based simulation model of coupled land use change and associated water demand for California's Central Coast region from 2001-2061. The model is a verison of the LUCAS model, which uses the SyncroSim software framework (Software documentation available at http://doc.syncrosim.com/index.php?title=Reference_Guide), that contains a new coupling with statistical software R (https://www.r-project.org/) to enable dynamic feedbacks between land-use change, resulting water demand, and water availability. The model was parameterized with land-use change and water use empirically estimated from county-scale historic data, as well as results from dozens of local agencies’ groundwater modeling efforts....
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Atmospheric deposition of reactive nitrogen (Nr) can impact the soil microbial community structure and function and thus ecosystem processing and export of nutrients. Ecosystem response to atmospheric inputs of nitrogen depends on several factors, including elevational climate conditions (freeze/thaw cycles, precipitation), geology, soil and vegetation type, N speciation and microbial community structure. The focus of this study was to evaluate how spatial and seasonal variations in N deposition affect the ability of soil microbial communities to process N along an elevational gradient (1700 to 3015 meters) from plains to subalpine ecosystems west of Boulder, Colorado. In conjunction with a study measuring the variability...
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Atmospheric deposition of reactive nitrogen (Nr) due to human activities can have measurable effects on ecosystem processing and export of nutrients, groundwater and surface-water quality. Rates of Nr deposition to lower-elevation forests immediately adjacent to the Denver/Boulder urban area, however, have only recently been measured. The focus of this study was to determine the extent of urban and agricultural N pollution transport to the Colorado Front Range. In conjunction with the Network for Urban Atmospheric Nitrogen Chemistry (NUANC) and the National Atmospheric Deposition Program (NADP), we measured wet-plus-dry Nr deposition and evaluated spatial and seasonal variations in N deposition along an elevational...
This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)(Granato, 2013). The U.S. Geological Survey (USGS) developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration (FHWA) to indicate the risk for stormwater flows, concentrations, and loads to be above user-selected water-quality goals and the potential effectiveness of mitigation measures to reduce such risks. In SELDM, three treatment variables, hydrograph extension, runoff volume reduction, and water-quality treatment are modeled by using the trapezoidal distribution and the rank...
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Ecosystem metabolism is a measure of energy flow in terrestrial and aquatic environments that quantifies a balance between the rate of biomass production by photosynthesizing plants and the rate of biomass oxidation by respiring plants and animals to maintain and build living biomass. It is therefore a fundamental measure of ecosystem function that quantifies the balance between the rate of production, maintenance, and decay of organic matter. It also provides an understanding of energy flow to higher trophic levels that supports food webs with secondary and tertiary productivity. Furthermore, metabolism helps explain when aquatic ecosystems undergo out-of-balance behaviors such as hypoxia. Recent advances in sensor...
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Region(s) of distribution of Shulupaoluk (Lycodes jugoricus) Knipowitsch, 1906 in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where...
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Region(s) of distribution of Sakhalin Sole (Limanda sakhalinensis) Hubbs, 1915 in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas where...
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Region(s) of distribution of Arctic Staghorn Sculpin (Gymnocanthus tricuspis) (Reinhardt, 1830) in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent...
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Region(s) of distribution of Halfbarred Pout (Gymnelus hemifasciatus) Andriashev, 1937 in the Arctic as digitized for U.S. Geological Survey Scientific Investigations Report 2016-5038. For details on the project and purpose, see the report at https://doi.org/10.3133/sir20165038. Complete metadata for the collection of species datasets is in the metadata document "Dataset_for_Alaska_Marine_Fish_Ecology_Catalog.xml" at https://doi.org/10.5066/F7M61HD7. Source(s) for this digitized data layer are listed in the metadata Process Steps section. Note that the original source may show an extended area; some datasets were limited to the published map boundary. Distributions of marine fishes are shown in adjacent Arctic seas...
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These data are supplementary to the journal article Bassiouni, M., Scholl, M.A., Torres-Sanchez, A.J., Murphy, S.F., 2017, A Method for Quantifying Cloud Immersion in a Tropical Mountain Forest Using Time-Lapse Photography, Agricultural and Forest Meteorology, http://dx.doi.org/10.1016/j.agrformet.2017.04.010. The data set includes cloud immersion frequency, mean temperature, relative humidity and dew point depression values for five sites, representing Figures 7a and 7b in the article, and values used to calculate the averages shown in Table 2. The results cover the time period from March 2014 to May 2016. A list of validation image filenames with their classifications and the set of 7360 validation images for...
map background search result map search result map Marine Arctic polygon distribution of Halfbarred Pout (Gymnelus hemifasciatus) Andriashev, 1937 Marine Arctic polygon distribution of Arctic Staghorn Sculpin (Gymnocanthus tricuspis) (Reinhardt, 1830) Marine Arctic polygon distribution of Atlantic Poacher (Leptagonus decagonus) (Bloch & Schneider, 1801) Marine Arctic polygon distribution of Arctic Lamprey (Lethenteron camtschaticum) (Tilesius, 1811) Marine Arctic polygon distribution of Sakhalin Sole (Limanda sakhalinensis) Hubbs, 1915 Marine Arctic polygon distribution of Gelatinous Seasnail (Liparis fabricii) Krøyer, 1847 Marine Arctic polygon distribution of Shulupaoluk (Lycodes jugoricus) Knipowitsch, 1906 Marine Arctic polygon distribution of Pink Salmon (Oncorhynchus gorbuscha) (Walbaum, 1792) Marine Arctic polygon distribution of Chum Salmon (Oncorhynchus keta) (Walbaum, 1792) Marine Arctic polygon distribution of Bigeye Sculpin (Triglops nybelini) Jensen, 1944 Supplementary Data for Method for Quantifying Cloud Immersion in a Tropical Mountain Forest Using Time-Lapse Photography Matched ecological assessment and stream gaging data for the CONUS Model archive for analysis of the effects of impervious cover on receiving-water quality with the Stochastic Empirical Loading Dilution Model (SELDM) Tidal hydrologic and constitutent loads from First Mallard Water Quality Station in the Rush Ranch Marsh Complex of the San Francisco Bay Estuarine Research Reserve (SFBNERR) 2016-2018 Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM) Seasonal Atmospheric Nitrate and Ammonium Deposition along an Elevation Gradient in the Colorado Front Range using Ion Exchange Resin Columns (2018-2019) Projections of 5 coupled scenarios of land-use change and groundwater sustainability for California's Central Coast (2001-2061) - LUCAS-W model RiverMET: Workflow and scripts for river metabolism estimation including Illinois River Basin application, 2005 - 2020 Biological N-cycling data from soils collected along an elevation gradient in the CO Front Range (2018-2019) Tidal hydrologic and constitutent loads from First Mallard Water Quality Station in the Rush Ranch Marsh Complex of the San Francisco Bay Estuarine Research Reserve (SFBNERR) 2016-2018 Biological N-cycling data from soils collected along an elevation gradient in the CO Front Range (2018-2019) Supplementary Data for Method for Quantifying Cloud Immersion in a Tropical Mountain Forest Using Time-Lapse Photography Seasonal Atmospheric Nitrate and Ammonium Deposition along an Elevation Gradient in the Colorado Front Range using Ion Exchange Resin Columns (2018-2019) Model archive for analysis of the effects of impervious cover on receiving-water quality with the Stochastic Empirical Loading Dilution Model (SELDM) RiverMET: Workflow and scripts for river metabolism estimation including Illinois River Basin application, 2005 - 2020 Projections of 5 coupled scenarios of land-use change and groundwater sustainability for California's Central Coast (2001-2061) - LUCAS-W model Marine Arctic polygon distribution of Shulupaoluk (Lycodes jugoricus) Knipowitsch, 1906 Matched ecological assessment and stream gaging data for the CONUS Marine Arctic polygon distribution of Atlantic Poacher (Leptagonus decagonus) (Bloch & Schneider, 1801) Marine Arctic polygon distribution of Chum Salmon (Oncorhynchus keta) (Walbaum, 1792) Marine Arctic polygon distribution of Sakhalin Sole (Limanda sakhalinensis) Hubbs, 1915 Marine Arctic polygon distribution of Bigeye Sculpin (Triglops nybelini) Jensen, 1944 Marine Arctic polygon distribution of Arctic Lamprey (Lethenteron camtschaticum) (Tilesius, 1811) Marine Arctic polygon distribution of Pink Salmon (Oncorhynchus gorbuscha) (Walbaum, 1792) Marine Arctic polygon distribution of Gelatinous Seasnail (Liparis fabricii) Krøyer, 1847 Marine Arctic polygon distribution of Halfbarred Pout (Gymnelus hemifasciatus) Andriashev, 1937 Marine Arctic polygon distribution of Arctic Staghorn Sculpin (Gymnocanthus tricuspis) (Reinhardt, 1830) Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)