The U.S. Geological Survey, in cooperation with the Lewis and Clark, Lower Elkhorn, Lower Loup, Lower Platte North, Lower Niobrara, Middle Niobrara, Upper Elkhorn, and the Upper Loup Natural Resources Districts, designed a study to refine the spatial and temporal discretization of a previously modeled area. This updated study focused on a 30,000-square-mile area of the High Plains aquifer and constructed regional groundwater-flow models to evaluate the effects of groundwater withdrawal on stream base flow in the Elkhorn and Loup River Basins, Nebraska. The model was calibrated to match groundwater-level and base-flow data from the stream-aquifer system from pre-1940 through 2010 (including predevelopment [pre-1895], early development [1895–1940], and historical development [1940 through 2010] conditions) using an automated parameter-estimation method. The calibrated model then was used to simulate hypothetical development conditions (2011 through 2060). Predicted changes to stream base flow based on simulated changes to groundwater withdrawal will aid in developing strategies for management of hydrologically connected water supplies.
Additional wells were simulated throughout the model domain and pumped for 50 years to assess the effect of wells on aquifer depletions, including stream base flow. The percentage of withdrawal for each well after 50 years, which was compensated by aquifer reductions to stream base flow, storage, or evapotranspiration, was computed and mapped. These depletions are influenced by aquifer properties, time, and distance from the well. Stream base-flow depletion results showed that the closer the added well was to a stream, the greatest the effect on the stream base flow. Areas of stream base-flow depletion percentages greater than 80 percent were generally within 1 mile (mi) from the stream. The distance increased to 6 mi near the confluence of the Dismal and Middle Loup Rivers, and the North Loup and Calamus Rivers. The percentage of stream base-flow depletion decreased as the distance from the stream increased. Areas more than 10 mi from the stream generally had a stream base-flow depletion of 10 percent or less. Evapotranspiration depletion was largest in areas closest to streams, specifically in the Elkhorn River watershed. It was also larger in areas of interdunal wetlands within the Sand Hills. Evapotranspiration depletion was negligible in areas greater than 5 mi from a stream, with the exception of interdunal areas in Cherry, Grant, and Arthur Counties. The storage depletion percentage increased as the distance from a stream increased. Storage depletion was largest in areas between streams. Areas experiencing the smallest amount of storage depletion were adjacent to streams. Calibrated model outputs and streamflow depletion analysis are publicly available online.
Accuracy of the simulations is affected by input data limitations, system simplifications, assumptions, and resources available at the time of the simulation construction and calibration. Most of the important limitations relate either to data used as simulation inputs or to data used to estimate simulation inputs. Development of the regional simulations focused on generalized hydrogeologic characteristics within the study area and did not attempt to describe variations important to local-scale conditions. These simulations are most appropriate for analyzing groundwater-management scenarios for large areas and during long periods and are not suitable for analysis of small areas or short periods.
Director, Nebraska Water Science Center
U.S. Geological Survey
5231 South 19th Street
Lincoln, NE 68512
Population dynamics are often correlated in space and time due to correlations in environmental drivers as well as synchrony induced by individual dispersal. Many statistical analyses of populations ignore potential autocorrelations and assume that survey methods (distance and time between samples) eliminate these correlations, allowing samples to be treated independently. If these assumptions are incorrect, results and therefore inference may be biased and uncertainty underestimated. We developed a novel statistical method to account for spatiotemporal correlations within dendritic stream networks, while accounting for imperfect detection in the surveys. Through simulations, we found this model decreased predictive error relative to standard statistical methods when data were spatially correlated based on stream distance and performed similarly when data were not correlated. We found that increasing the number of years surveyed substantially improved the model accuracy when estimating spatial and temporal correlation coefficients, especially from 10 to 15 yr. Increasing the number of survey sites within the network improved the performance of the nonspatial model but only marginally improved the density estimates in the spatiotemporal model. We applied this model to brook trout data from the West Susquehanna Watershed in Pennsylvania collected over 34 yr from 1981 to 2014. We found the model including temporal and spatiotemporal autocorrelation best described young of the year (YOY) and adult density patterns. YOY densities were positively related to forest cover and negatively related to spring temperatures with low temporal autocorrelation and moderately high spatiotemporal correlation. Adult densities were less strongly affected by climatic conditions and less temporally variable than YOY but with similar spatiotemporal correlation and higher temporal autocorrelation.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1767","usgsCitation":"Hocking, D., Thorson, J.T., O’Neil, K., and Letcher, B., 2018, A geostatistical state‐space model of animal densities for stream networks: Ecological Applications, v. 28, no. 7, p. 1782-1796, https://doi.org/10.1002/eap.1767.","productDescription":"15 p.","startPage":"1782","endPage":"1796","ipdsId":"IP-098139","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":468352,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/53438","text":"External Repository"},{"id":359510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"7","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-23","publicationStatus":"PW","scienceBaseUri":"5befe5bce4b045bfcadf7f3e","contributors":{"authors":[{"text":"Hocking, Daniel J.","contributorId":210650,"corporation":false,"usgs":false,"family":"Hocking","given":"Daniel J.","affiliations":[{"id":38122,"text":"University of MD","active":true,"usgs":false}],"preferred":false,"id":751374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorson, James T.","contributorId":146580,"corporation":false,"usgs":false,"family":"Thorson","given":"James","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":751375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Neil, Kyle","contributorId":210652,"corporation":false,"usgs":false,"family":"O’Neil","given":"Kyle","email":"","affiliations":[{"id":38124,"text":"University of MA","active":true,"usgs":false}],"preferred":false,"id":751376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Letcher, Benjamin H. 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":167313,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin H.","email":"bletcher@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":751373,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202476,"text":"70202476 - 2018 - Long-term rehabilitation of Delavan Lake, Wisconsin, USA","interactions":[],"lastModifiedDate":"2020-10-22T20:31:25.916752","indexId":"70202476","displayToPublicDate":"2018-10-01T10:53:57","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Long-term rehabilitation of Delavan Lake, Wisconsin, USA","docAbstract":"No abstract available.
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Our results provide important insights into how amphibians respond to climate and a general framework for measuring climate impacts on species richness.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-018-06157-6","usgsCitation":"Miller, D., Campbell Grant, E.H., Muths, E.L., Amburgey, S.M., Adams, M.J., Joseph, M.B., Waddle, J.H., Johnson, P.T., Ryan, M.E., Schmidt, B.R., Calhoun, D.L., Davis, C.L., Fisher, R.N., Green, D.M., Hossack, B.R., Rittenhouse, T.A., Walls, S.C., Bailey, L.L., Cruickshank, S.S., Fellers, G.M., Gorman, T.A., Haas, C.A., Hughson, W., Pilliod, D.S., Price, S.J., Ray, A.M., Sadinski, W., Saenz, D., Barichivich, W.J., Brand, A.B., Brehme, C.S., Dagit, R., Delaney, K.S., Glorioso, B.M., Kats, L.B., Kleeman, P.M., Pearl, C., Rochester, C.J., Riley, S.P., Roth, M.F., and Sigafus, B., 2018, Quantifying climate sensitivity and climate-driven change in North American amphibian communities: Nature Communications, v. 9, 3926, 15 p., https://doi.org/10.1038/s41467-018-06157-6.","productDescription":"3926, 15 p.","ipdsId":"IP-075372","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":468354,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-018-06157-6","text":"Publisher Index Page"},{"id":357937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-25","publicationStatus":"PW","scienceBaseUri":"5bc02f85e4b0fc368eb53877","contributors":{"authors":[{"text":"Miller, David A.W.","contributorId":198461,"corporation":false,"usgs":false,"family":"Miller","given":"David A.W.","affiliations":[],"preferred":false,"id":746731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":746730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":746732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amburgey, Staci M.","contributorId":152622,"corporation":false,"usgs":false,"family":"Amburgey","given":"Staci","email":"","middleInitial":"M.","affiliations":[{"id":12754,"text":"Penn State University Altoona","active":true,"usgs":false}],"preferred":false,"id":746733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, M. 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gloriosob@usgs.gov","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":4241,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","email":"gloriosob@usgs.gov","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":746763,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Kats, Lee B.","contributorId":208330,"corporation":false,"usgs":false,"family":"Kats","given":"Lee","email":"","middleInitial":"B.","affiliations":[{"id":37783,"text":"Seaver College, Pepperdine University","active":true,"usgs":false}],"preferred":false,"id":746764,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":746765,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Pearl, Christopher 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":172669,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":746766,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Rochester, Carlton J. 0000-0002-0625-4496 crochester@usgs.gov","orcid":"https://orcid.org/0000-0002-0625-4496","contributorId":3032,"corporation":false,"usgs":true,"family":"Rochester","given":"Carlton","email":"crochester@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":746767,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Riley, Seth P. D.","contributorId":208334,"corporation":false,"usgs":false,"family":"Riley","given":"Seth","email":"","middleInitial":"P. D.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":746768,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Roth, Mark F. 0000-0001-5095-1865 mroth@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-1865","contributorId":3286,"corporation":false,"usgs":true,"family":"Roth","given":"Mark","email":"mroth@usgs.gov","middleInitial":"F.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":746769,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Sigafus, Brent","contributorId":208336,"corporation":false,"usgs":true,"family":"Sigafus","given":"Brent","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":746770,"contributorType":{"id":1,"text":"Authors"},"rank":41}]}} ,{"id":70198898,"text":"ofr20181133 - 2018 - Delineation of contributing areas for 2017 pumping conditions to selected wells in Ingham County, Michigan","interactions":[],"lastModifiedDate":"2018-10-02T10:51:10","indexId":"ofr20181133","displayToPublicDate":"2018-10-01T10:15:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1133","title":"Delineation of contributing areas for 2017 pumping conditions to selected wells in Ingham County, Michigan","docAbstract":"As part of local wellhead protection area programs, areas
contributing water to production wells need to be periodically
updated because groundwater-flow paths depend in part on
the stresses to the groundwater-flow system. A steady-state
groundwater-flow model that was constructed in 2009 was
updated to reflect recent (2017) pumping conditions in the
Lansing and East Lansing area in the Tri-County region, Michigan.
For this current (2017) study, withdrawals from selected
production wells were updated, and the existing model calibration
under the new pumping conditions was checked. Results
of flow simulations indicate that 10-year time-of-travel areas
cover approximately 25 square miles and 40-year time-oftravel
areas cover approximately 51 square miles.
Director, Upper Midwest Water Science Center
U.S. Geological Survey
6520 Mercantile Way Suite 5
Lansing, MI 48911
Basin-scale assessment of fish habitat in Great Lakes coastal ecosystems would increase our ability to prioritize fish habitat management and restoration actions. As a first step in this direction, we identified key habitat factors associated with highest probability of occurrence for several societally and ecologically important coastal fish species as well as community metrics, using data from the Great Lakes Aquatic Habitat Framework (GLAHF), Great Lakes Environmental Indicators (GLEI) and Coastal Wetland Monitoring Program (CWMP). Secondly, we assessed whether species-specific habitat was threatened by watershed-level anthropogenic stressors. In the southern Great Lakes, key habitat factors for determining presence/absence of several species of coastal fish were chlorophyll concentrations, turbidity, and wave height, whereas in the northern ecoprovince temperature was the major habitat driver for most of the species modeled. Habitat factors best explaining fish richness and diversity were bottom slope and chlorophyll a. These models could likely be further improved with addition of high-resolution submerged macrophytecomplexity data which are currently unavailable at the basin-wide scale. Proportion of invasive species was correlated primarily with increasing maximum observed inorganic turbidity and chlorophyll a. We also demonstrate that preferred habitat for several coastal species and high-diversity areas overlap with areas of high watershed stress. Great Lakes coastal wetland fish are a large contributor to ecosystem services as well as commercial and recreational fishery harvest, and scalable basin-wide habitat models developed in this study may be useful for informing management actions targeting specific species or overall coastal fish biodiversity.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2018.07.007","usgsCitation":"Kovalenko, K.E., L.B. Johnson, Riseng, C.M., Cooper, M.J., Johnson, K., L. A. Mason, McKenna, J.E., Sparks-Jackson, B.L., and D.G. Uzarski, 2018, Great Lakes coastal fish habitat classification and assessment: Journal of Great Lakes Research, v. 44, no. 5, p. 1100-1109, https://doi.org/10.1016/j.jglr.2018.07.007.","productDescription":"10 p.","startPage":"1100","endPage":"1109","ipdsId":"IP-099461","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":363174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92,\n 40\n ],\n [\n -74,\n 40\n ],\n [\n -74,\n 49.5\n ],\n [\n -92,\n 49.5\n ],\n [\n -92,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"5","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kovalenko, K. 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J.","contributorId":215013,"corporation":false,"usgs":false,"family":"Cooper","given":"M.","email":"","middleInitial":"J.","affiliations":[{"id":18886,"text":"Northland College","active":true,"usgs":false}],"preferred":false,"id":761419,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, K.","contributorId":215014,"corporation":false,"usgs":false,"family":"Johnson","given":"K.","email":"","affiliations":[{"id":32419,"text":"U. of Minnesota","active":true,"usgs":false}],"preferred":false,"id":761420,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"L. A. Mason","contributorId":215015,"corporation":false,"usgs":false,"family":"L. A. Mason","affiliations":[{"id":39155,"text":"U. of Michigan","active":true,"usgs":false}],"preferred":false,"id":761421,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":195894,"corporation":false,"usgs":true,"family":"McKenna","given":"James","suffix":"Jr.","email":"jemckenna@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":761415,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sparks-Jackson, B. L.","contributorId":215016,"corporation":false,"usgs":false,"family":"Sparks-Jackson","given":"B.","email":"","middleInitial":"L.","affiliations":[{"id":39155,"text":"U. of Michigan","active":true,"usgs":false}],"preferred":false,"id":761422,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"D.G. Uzarski","contributorId":215017,"corporation":false,"usgs":false,"family":"D.G. Uzarski","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":761423,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70200918,"text":"70200918 - 2018 - A regime shift in sediment export from a coastal watershed during a record wet winter, California: Implications for landscape response to hydroclimatic extremes","interactions":[],"lastModifiedDate":"2018-11-15T12:21:36","indexId":"70200918","displayToPublicDate":"2018-09-30T12:21:24","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"A regime shift in sediment export from a coastal watershed during a record wet winter, California: Implications for landscape response to hydroclimatic extremes","docAbstract":"Small, steep watersheds are prolific sediment sources from which sediment flux is highly sensitive to climatic changes. Storm intensity and frequency are widely expected to increase during the 21st century, and so assessing the response of small, steep watersheds to extreme rainfall is essential to understanding landscape response to climate change. During record winter rainfall in 2016–2017, the San Lorenzo River, coastal California, had nine flow peaks representing 2–10‐year flood magnitudes. By the third flood, fluvial suspended sediment showed a regime shift to greater and coarser sediment supply, coincident with numerous landslides in the watershed. Even with no singular catastrophic flood, these flows exported more than half as much sediment as had a 100‐year flood 35 years earlier, substantially enlarging the nearshore delta. Annual sediment load in 2017 was an order of magnitude greater than during an average‐rainfall year, and 500‐fold greater than in a recent drought. These anomalous sediment inputs are critical to the coastal littoral system, delivering enough sediment, sometimes over only a few days, to maintain beaches for several years. Future projections of megadroughts punctuated by major atmospheric‐river storm activity suggest that interannual sediment‐yield variations will become more extreme than today in the western USA, with potential consequences for coastal management, ecosystems, and water‐storage capacity. The occurrence of two years with major sediment export over the past 35 years that were not associated with extremes of the El Niño Southern Oscillation or Pacific Decadal Oscillation suggests caution in interpreting climatic signals from marine sedimentary deposits derived from small, steep, coastal watersheds, to avoid misinterpreting the frequencies of those cycles.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.4415","usgsCitation":"East, A.E., Stevens, A.W., Ritchie, A.C., Barnard, P., Campbell‐Swarzenski, P., Collins, B.D., and Conaway, C., 2018, A regime shift in sediment export from a coastal watershed during a record wet winter, California: Implications for landscape response to hydroclimatic extremes: Earth Surface Processes and Landforms, v. 43, no. 12, p. 2562-2577, https://doi.org/10.1002/esp.4415.","productDescription":"16 p.","startPage":"2562","endPage":"2577","ipdsId":"IP-088636","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":359464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Lorenzo watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.25,\n 36.9167\n ],\n [\n -121.9167,\n 36.9167\n ],\n [\n -121.9167,\n 37.25\n ],\n [\n -122.25,\n 37.25\n ],\n [\n -122.25,\n 36.9167\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-19","publicationStatus":"PW","scienceBaseUri":"5bee93e5e4b08f163c24a1bb","contributors":{"authors":[{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Andrew W. 0000-0003-2334-129X astevens@usgs.gov","orcid":"https://orcid.org/0000-0003-2334-129X","contributorId":139313,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":751280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell‐Swarzenski, Pamela L. 0000-0002-2232-6381","orcid":"https://orcid.org/0000-0002-2232-6381","contributorId":210642,"corporation":false,"usgs":true,"family":"Campbell‐Swarzenski","given":"Pamela L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751283,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":751285,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conaway, Christopher H. 0000-0002-0991-033X","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":201932,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":751284,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70199794,"text":"70199794 - 2018 - Efficient delineation of nested depression hierarchy in digital elevation models for hydrological analysis using level-set method","interactions":[],"lastModifiedDate":"2019-05-29T09:31:14","indexId":"70199794","displayToPublicDate":"2018-09-28T12:54:22","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Efficient delineation of nested depression hierarchy in digital elevation models for hydrological analysis using level-set method","docAbstract":"In terrain analysis and hydrological modeling, surface depressions (or sinks) in a digital elevation model (DEM) are commonly treated as artifacts and thus filled and removed to create a depressionless DEM. Various algorithms have been developed to identify and fill depressions in DEMs during the past decades. However, few studies have attempted to delineate and quantify the nested hierarchy of actual depressions, which can provide crucial information for characterizing surface hydrologic connectivity and simulating the fill‐merge‐spill hydrological process. In this paper, we present an innovative and efficient algorithm for delineating and quantifying nested depressions in DEMs using the level‐set method based on graph theory. The proposed level‐set method emulates water level decreasing from the spill point along the depression boundary to the lowest point at the bottom of a depression. By tracing the dynamic topological changes (i.e., depression splitting/merging) within a compound depression, the level‐set method can construct topological graphs and derive geometric properties of the nested depressions. The experimental results of two fine‐resolution Light Detection and Ranging‐derived DEMs show that the raster‐based level‐set algorithm is much more efficient (~150 times faster) than the vector‐based contour tree method. The proposed level‐set algorithm has great potential for being applied to large‐scale ecohydrological analysis and watershed modeling.
","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12689","usgsCitation":"Wu, Q., Lane, C., Wang, L., Vanderhoof, M.K., Christensen, J.R., and Liu, H., 2018, Efficient delineation of nested depression hierarchy in digital elevation models for hydrological analysis using level-set method: Journal of the American Water Resources Association, v. 55, no. 2, p. 354-368, https://doi.org/10.1111/1752-1688.12689.","productDescription":"15 p.","startPage":"354","endPage":"368","ipdsId":"IP-094162","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468357,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7995241","text":"External Repository"},{"id":357902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-28","publicationStatus":"PW","scienceBaseUri":"5bc02f86e4b0fc368eb5387f","contributors":{"authors":[{"text":"Wu, Qiusheng","contributorId":208272,"corporation":false,"usgs":false,"family":"Wu","given":"Qiusheng","email":"","affiliations":[{"id":37769,"text":"Binghamton University","active":true,"usgs":false}],"preferred":false,"id":746633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":746634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Lei","contributorId":193279,"corporation":false,"usgs":false,"family":"Wang","given":"Lei","email":"","affiliations":[],"preferred":false,"id":746635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":746632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christensen, Jay R.","contributorId":179361,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":746636,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Hongxing","contributorId":38075,"corporation":false,"usgs":true,"family":"Liu","given":"Hongxing","email":"","affiliations":[],"preferred":false,"id":746665,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70199795,"text":"70199795 - 2018 - A spatially discrete, integral projection model and its application to invasive carp","interactions":[],"lastModifiedDate":"2018-09-28T12:51:25","indexId":"70199795","displayToPublicDate":"2018-09-28T12:51:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"A spatially discrete, integral projection model and its application to invasive carp","docAbstract":"Natural resource managers and ecologists often desire an understanding of spatial dynamics such as migration, dispersion, and meta-population dynamics. Network-node models can capture these salient features. Additionally, the state-variable used with many species may be appropriately modeled as a continuous variable (e.g., length) and management activities sometimes can only target individuals of certain sizes. Integral projection models (IPMs) can capture this life history characteristic and allow for the examination of size-specific management. We combined an IPM with a network-node model to capture both of these salient features. We then demonstrated how this model could be used to understand and manage populations of invasive species focusing on grass carp as an example. Grass carp disrupt ecosystems outside of their native range and have spread around much of the world, including North America. The impacts of grass carp include adversely changing aquatic plant communities, which in turn affect a wide range of endpoints ranging from water quality to waterfowl recruitment. We specifically examined two theoretical systems using parameters from the literature. First, we modeled a lake with two tributaries and examined how modified sterile males could be used as a control tool. We found that modified sterile males may be a feasible control tool to limit population growth. Second, we modeled a series of river pools and examined how harvest and deterrents could be used to decrease the risk of expanding grass carp's range within a river system. Within this system, we also compared the impacts of size specific harvest and uniform harvest across all sizes. We found that targeting the largest, spawning populations may be more important than targeting the populations close to the invasion front for reducing the risk of spreading grass carp. We also demonstrate that size of harvested fish was important for controlling populations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2018.09.006","usgsCitation":"Erickson, R.A., Eager, E.E., Kocovsky, P., Glover, D.C., Kallis, J.L., and Long, K.R., 2018, A spatially discrete, integral projection model and its application to invasive carp: Ecological Modelling, v. 387, p. 163-171, https://doi.org/10.1016/j.ecolmodel.2018.09.006.","productDescription":"9 p.","startPage":"163","endPage":"171","ipdsId":"IP-094621","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468358,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2018.09.006","text":"Publisher Index Page"},{"id":437736,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9T9J3JU","text":"USGS data release","linkHelpText":"Spatially explicit integral projection model"},{"id":357901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"387","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f86e4b0fc368eb53881","contributors":{"authors":[{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":746637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eager, Eric E.","contributorId":208273,"corporation":false,"usgs":false,"family":"Eager","given":"Eric","email":"","middleInitial":"E.","affiliations":[{"id":37770,"text":"UWL","active":true,"usgs":false}],"preferred":false,"id":746638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":746639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glover, David C.","contributorId":178006,"corporation":false,"usgs":false,"family":"Glover","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":746640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kallis, Jahn L.","contributorId":205603,"corporation":false,"usgs":false,"family":"Kallis","given":"Jahn","email":"","middleInitial":"L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":746641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Long, K. R.","contributorId":208274,"corporation":false,"usgs":false,"family":"Long","given":"K.","email":"","middleInitial":"R.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":746642,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70216180,"text":"70216180 - 2018 - Size and age of Stonecats in Lake Champlain; Estimating growth at the margin of their range to aid in population management","interactions":[],"lastModifiedDate":"2020-11-09T17:16:16.195016","indexId":"70216180","displayToPublicDate":"2018-09-28T10:58:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Size and age of Stonecats in Lake Champlain; Estimating growth at the margin of their range to aid in population management","docAbstract":"Little is known about populations of Stonecat Noturus flavus, especially in the northeastern United States, where they are at the edge of their range. In Lake Champlain tributaries, Stonecats are listed as endangered in Vermont but not in New York. Here we describe the growth of Stonecats in two tributaries to Lake Champlain, one in Vermont (LaPlatte River), which was our primary interest, and one in New York (Great Chazy River), with von Bertalanffy growth models fit to lengths at the times of marking and recapture and to observed length and age data. We also compared growth of Stonecats in these waters to results from other locations near the middle of their distribution. Stonecats in the Great Chazy River were larger at ages 1–3, but similar in size for ages 4 and 5, than Stonecats from the LaPlatte River. Stonecats in Lake Champlain tributaries were generally larger at age than those from the middle of their range, except for those from Lake Erie. From our mean length‐at‐age results and previous literature estimates of length at maturity for Stonecats, it appears that Stonecats in Lake Champlain reach maturity by age 3, though future research that directly estimates age at maturity would be more informative. These results will help managers assess the effect of various environmental and human stressors that Stonecats have experienced in the Lake Champlain basin in recent years. Furthermore, our results expand the literature, which lacks information about growth of this species. Finally, our mark–recapture approach to estimating growth of Stonecats can be applied to other species, especially where data are limited because of their status, and in other systems.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10230","usgsCitation":"Puchala, E., Parrish, D.L., and Ogle, D.H., 2018, Size and age of Stonecats in Lake Champlain; Estimating growth at the margin of their range to aid in population management: North American Journal of Fisheries Management, v. 38, no. 6, p. 1316-1323, https://doi.org/10.1002/nafm.10230.","productDescription":"8 p.","startPage":"1316","endPage":"1323","ipdsId":"IP-097102","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":380303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York, Vermont","otherGeospatial":"Great Chazy River, La Platte River, Lake Champlain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n 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Vermont","active":true,"usgs":false}],"preferred":false,"id":804383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parrish, Donna L. 0000-0001-9693-6329 dparrish@usgs.gov","orcid":"https://orcid.org/0000-0001-9693-6329","contributorId":138661,"corporation":false,"usgs":true,"family":"Parrish","given":"Donna","email":"dparrish@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":804382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ogle, Derek H.","contributorId":73967,"corporation":false,"usgs":true,"family":"Ogle","given":"Derek","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":804388,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198296,"text":"sir20185102 - 2018 - Groundwater contributions to excessive algal growth in the East Fork Carson River, Carson Valley, west-central Nevada, 2010 and 2012","interactions":[],"lastModifiedDate":"2018-09-28T16:55:22","indexId":"sir20185102","displayToPublicDate":"2018-09-28T09:17:05","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5102","title":"Groundwater contributions to excessive algal growth in the East Fork Carson River, Carson Valley, west-central Nevada, 2010 and 2012","docAbstract":"Excessive algal growth and low dissolved oxygen concentrations were observed during low streamflow conditions during summer months along a 5,800-foot reach of the East Fork Carson River in Carson Valley, west-central Nevada. Algal growth from nutrient enrichment of a stream reduces aquatic diversity, threatens fish ecology and stream health, and can be a recreational nuisance. In response to concerns that groundwater discharging to the 5,800-foot reach of the East Fork Carson River may be a source of nutrients to the stream, the U.S. Geological Survey, in cooperation with the Carson Water Subconservancy District and the Nevada Division of Environmental Protection, conducted studies during the summers of 2010 and 2012 to gain an improved understanding of the contributions of nutrients to the stream from groundwater, characterize algal conditions and algal effects on water quality, assess potential sources of nitrate in groundwater discharging to the stream, and evaluate nitrate reduction in groundwater from denitrification.
A reconnaissance study in the summer of 2010 along the 5,800-foot study reach located a subreach with clear evidence of nutrient-rich groundwater discharging to the stream. At the subreach, nitrate plus nitrite (referred to hereafter as nitrate) concentrations in groundwater discharging to the stream were high (average 2.75 milligrams per liter as nitrogen) along the right bank. The stream at this location had the highest stream nitrate concentrations (average 0.056 milligrams per liter as nitrogen) compared to other locations upstream and downstream of the subreach. As a result, the 2012 study focused on a 405-foot subreach of the East Fork Carson River centered where results from the 2010 study found the highest stream and groundwater concentrations of nitrate, as well as the greatest observed contributions of groundwater discharge to the stream.
Groundwater nutrient concentrations were much higher than stream nutrient concentrations during the summer of 2012 during low streamflow conditions at the 405-foot subreach of the East Fork Carson River. Average groundwater nitrate and orthophosphate concentrations along the right bank of the 405‑foot subreach were 9 and 12 times higher, respectively, than in the stream at this subreach. Groundwater discharge rates to the study reach based on different methods varied from 0.09 to 1.2 cubic feet per second per mile. Estimated groundwater discharge rates to the right bank of the study subreach were used to calculate groundwater nutrient load estimates to the subreach right bank, which were found to be low when compared to stream nutrient loads.
Elevated algal biomass levels above nuisance thresholds were observed during the summers of 2010 and 2012. The study reach was characterized as mesotrophic-eutrophic during the 2010 study and eutrophic during the 2012 study. The presence of algae caused daily dissolved oxygen and pH fluctuations in the stream, resulting in exceedances of the State of Nevada water-quality standards owing to low dissolved oxygen concentrations and high pH concentrations, although the standards might not have been applicable during 2012 because of extremely low streamflow.
The addition of nutrients to the stream from the constant supply in groundwater discharge sustains the growth of algae during low streamflow conditions. In the summer when streamflow is low or very low, nutrient-rich groundwater discharge enters the stream through the sediment-water interface at the streambed. Because the attached algae is thick and stream velocity is low, the nutrient-rich water pools at the sediment-water interface. Higher nutrient concentrations at the streambed create a favorable microenvironment for algae attached to the substrate to consume available nutrients from the groundwater before the groundwater mixes with overlying stream water.
The source of nitrate in groundwater in this subreach is anthropogenic because nitrate concentrations are greater than background groundwater nitrate concentrations in Douglas County, high groundwater nitrate concentrations are only found at the right bank of the stream near a housing development, and organic wastewater compounds indicative of human-derived sources were also detected in groundwater wells on the right bank of the stream. Nitrogen and oxygen isotope concentrations of nitrate in shallow groundwater were used to determine the specific source of the nitrate, but the isotopic values indicated denitrification was occurring. Further investigation is needed to determine the specific anthropogenic source of the nitrate in the groundwater because the denitrification present in all samples obscures the original source of nitrogen.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185102","collaboration":"Prepared in cooperation with the Carson Water Subconservancy District and Nevada Division of Environmental Protection","usgsCitation":"Alvarez, N.L., Pahl, R.A, and Rosen, M.R., 2018, Groundwater contributions to excessive algal growth in the East Fork Carson River, Carson Valley, west-central Nevada, 2010 and 2012: U.S. Geological Survey Scientific Investigations Report 2018–5102, 94 p., https://doi.org/10.3133/sir20185102.","productDescription":"Report: xii, 94 p.; Data release","numberOfPages":"110","onlineOnly":"Y","ipdsId":"IP-045681","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":357719,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5102/coverthb.jpg"},{"id":357720,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5102/sir20185102.pdf","text":"Report","size":"5.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5102"},{"id":357725,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7C53K4Q","linkHelpText":"Supplemental data for groundwater contributions to excessive algal growth in the East Fork Carson River, Carson Valley, west-central Nevada, 2010 and 2012"}],"country":"United States","state":"Nevada","otherGeospatial":"East Fork Carson River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.7989,\n 38.94\n ],\n [\n -119.7714,\n 38.94\n ],\n [\n -119.7714,\n 38.97\n ],\n [\n -119.7989,\n 38.97\n ],\n [\n -119.7989,\n 38.94\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Rd.
Carson City, NV 89701
Urban stormwater is an important but incompletely characterized contributor to surface‐water toxicity. The present study used 5 bioassays of 2 model organisms (Daphnia magnaand fathead minnow, Pimephales promelas) to investigate stormwater toxicity and mitigation by full‐scale iron‐enhanced sand filters (IESFs). Stormwater samples were collected from major stormwater conveyances and full‐scale IESFs during 4 seasonal events (winter snowmelt and spring, early summer, and late summer rainfalls) and analyzed for a diverse range of contaminants of emerging concern including pharmaceuticals, personal care products, industrial chemicals, and pesticides. Concurrently, stormwater samples were collected for toxicity testing. Seasonality appeared more influential and consistent than site type for most bioassays. Typically, biological consequences were least in early summer and greatest in late summer and winter. In contrast with the unimproved and occasionally reduced biological outcomes in IESF‐treated and late summer samples, water chemistry indicated that numbers and total concentrations of detected organic chemicals, metals, and nutrients were reduced in late summer and in IESF‐treated stormwater samples. Some potent toxicants showed more specific seasonality (e.g., high concentrations of polycyclic aromatic hydrocarbons and industrial compounds in winter, pesticides in early summer and spring, flame retardants in late summer), which may have influenced outcomes. Potential explanations for insignificant or unexpected stormwater treatment outcomes include confounding effects of complex stormwater matrices, IESF nutrient removal, and, less likely, unmonitored toxicants.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.4227","usgsCitation":"Westerhoff, B.M., Fairbairn, D.J., Ferrey, M.L., Matilla, A., Kunkel, J., Elliott, S.M., Kiesling, R.L., Woodruff, D., and Schoenfuss, H.L., 2018, Effects of urban stormwater and iron‐enhanced sand filtration on Daphnia magna and Pimephales promelas: Environmental Toxicology and Chemistry, v. 37, no. 10, p. 2645-2659, https://doi.org/10.1002/etc.4227.","productDescription":"15 p.","startPage":"2645","endPage":"2659","ipdsId":"IP-095127","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":357842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-05","publicationStatus":"PW","scienceBaseUri":"5bc02f88e4b0fc368eb53893","contributors":{"authors":[{"text":"Westerhoff, Benjamin M.","contributorId":208226,"corporation":false,"usgs":false,"family":"Westerhoff","given":"Benjamin","email":"","middleInitial":"M.","affiliations":[{"id":20306,"text":"St. Cloud State University","active":true,"usgs":false}],"preferred":false,"id":746463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fairbairn, David J.","contributorId":207455,"corporation":false,"usgs":false,"family":"Fairbairn","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":13330,"text":"Minnesota Pollution Control Agency","active":true,"usgs":false}],"preferred":false,"id":746464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrey, Mark L.","contributorId":207457,"corporation":false,"usgs":false,"family":"Ferrey","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":13330,"text":"Minnesota Pollution Control Agency","active":true,"usgs":false}],"preferred":false,"id":746465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matilla, Adriana","contributorId":208227,"corporation":false,"usgs":false,"family":"Matilla","given":"Adriana","email":"","affiliations":[{"id":20306,"text":"St. Cloud State University","active":true,"usgs":false}],"preferred":false,"id":746466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kunkel, Jordan","contributorId":208228,"corporation":false,"usgs":false,"family":"Kunkel","given":"Jordan","email":"","affiliations":[{"id":20306,"text":"St. Cloud State University","active":true,"usgs":false}],"preferred":false,"id":746467,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746462,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746468,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Woodruff, Dustin","contributorId":208230,"corporation":false,"usgs":false,"family":"Woodruff","given":"Dustin","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":746469,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":746470,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70198847,"text":"fs20183046 - 2018 - Williston Basin groundwater availability, United States and Canada","interactions":[],"lastModifiedDate":"2018-09-27T16:45:41","indexId":"fs20183046","displayToPublicDate":"2018-09-27T12:55:52","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3046","title":"Williston Basin groundwater availability, United States and Canada","docAbstract":"The Williston Basin contains important oil and gas resources for the Nation. Freshwater supplies are limited in this semiarid area, and oil and gas development can require large volumes of freshwater. Groundwater is the primary source of water for many water users in the Williston Basin, so to better understand these resources, the U.S. Geological Survey (USGS) assessed the groundwater availability in this area. The final phase of this assessment included a computer model that simulates how groundwater flows in the aquifer systems and simulates how changes in water use and natural conditions may affect the water resources. These results provide a tool for land and water-resource managers to determine how water can be used for multiple purposes in the Williston Basin. For additional information about this assessment and more in-depth descriptions and results, see Long and others (2018).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183046","collaboration":"Water Availability and Use Science Program","usgsCitation":"Thamke, J.N., Long, A.J., and Davis, K.W., 2018, Williston Basin groundwater availability, United States and Canada: U.S. Geological Survey Fact Sheet 2018-3046, 4 p., https://doi.org/10.3133/fs20183046.","productDescription":"Report: 4 p.; Data Releases","onlineOnly":"N","ipdsId":"IP-098105","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":357815,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3046/fs20183046.pdf","text":"Report","size":"3.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018–3046"},{"id":357816,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78P5ZDV","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water use data for hydraulic fracturing treatments in the Williston Basin, United States, 2000–2015"},{"id":357814,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3046/coverthb.jpg"},{"id":357817,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/pp1841","text":"Professional Paper 1841","size":"18.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1841","linkHelpText":"Groundwater availability of the Williston Basin, United States and Canada"},{"id":357818,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FACTT3","text":"USGS data release","description":"USGS Data Release","linkHelpText":"MODFLOW-NWT model of predictive simulations of groundwater response to selected scenarios in the Williston Basin, United States and Canada"}],"country":"Canada, United States","otherGeospatial":"Williston Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108,\n 44\n ],\n [\n -98,\n 44\n ],\n [\n -98,\n 51\n ],\n [\n -108,\n 51\n ],\n [\n -108,\n 44\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director , Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, Montana 59601
Bioenergetics modeling was used to assess the relative importance of food availability and water temperature in determining walleye (Sander vitreus) growth. Temperature regimes experienced by both female and male adult walleye in three basins of Lake Huron and in Lake Erie were determined by use of surgically implanted temperature loggers and acoustic telemetry. Temperatures experienced by walleye were higher in Lake Erie than in Lake Huron. Walleye from Lake Erie grew at nearly double the rate of walleye from Lake Huron, and mass at age for adult females averaged about 50% greater than that for adult males in both lakes. Food consumption rate for an average adult walleye in Lake Erie was nearly twice as high as that in Lake Huron. Interbasin and interlake variability in temperature regimes accounted for a moderate degree of variability in walleye growth. We concluded that the driver for faster growth in Lake Erie compared with Lake Huron was higher food availability in Lake Erie compared with Lake Huron. The sex difference in temperature regimes explained 15% of the sex difference in Lake Erie walleye growth.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2017-0280","usgsCitation":"Madenjian, C.P., Hayden, T., Peat, T.B., Vandergoot, C., Fielder, D.G., Gorman, A.M., Pothoven, S.A., Dettmers, J.M., Cooke, S., Zhao, Y., and Krueger, C., 2018, Temperature regimes, growth, and food consumption for female and male adult walleye in Lake Huron and Lake Erie: a bioenergetics analysis: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 10, p. 1573-1586, https://doi.org/10.1139/cjfas-2017-0280.","productDescription":"14 p.","startPage":"1573","endPage":"1586","ipdsId":"IP-081676","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":460841,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2017-0280","text":"External 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cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":746475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayden, Todd A.","contributorId":205146,"corporation":false,"usgs":false,"family":"Hayden","given":"Todd A.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":746484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peat, Tyler B.","contributorId":208231,"corporation":false,"usgs":false,"family":"Peat","given":"Tyler","email":"","middleInitial":"B.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":746476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandergoot, Christopher 0000-0003-4128-3329 cvandergoot@usgs.gov","orcid":"https://orcid.org/0000-0003-4128-3329","contributorId":178356,"corporation":false,"usgs":true,"family":"Vandergoot","given":"Christopher","email":"cvandergoot@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":746485,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fielder, David G.","contributorId":127528,"corporation":false,"usgs":false,"family":"Fielder","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":746477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gorman, Ann Marie","contributorId":145525,"corporation":false,"usgs":false,"family":"Gorman","given":"Ann","email":"","middleInitial":"Marie","affiliations":[],"preferred":false,"id":746478,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":746479,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dettmers, John M.","contributorId":191256,"corporation":false,"usgs":false,"family":"Dettmers","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":746480,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":746481,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhao, Yingming","contributorId":205147,"corporation":false,"usgs":false,"family":"Zhao","given":"Yingming","email":"","affiliations":[{"id":37034,"text":"Ontario Ministry of Natural Resources and Forestry, Aquatic Research and Monitoring Section","active":true,"usgs":false}],"preferred":false,"id":746482,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":746483,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70198656,"text":"ofr20181135 - 2018 - Assessment of oil and gas resources in the Upper Jurassic Haynesville and Bossier Formations, U.S. Gulf Coast, 2016","interactions":[],"lastModifiedDate":"2018-09-27T15:19:54","indexId":"ofr20181135","displayToPublicDate":"2018-09-27T11:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1135","title":"Assessment of oil and gas resources in the Upper Jurassic Haynesville and Bossier Formations, U.S. Gulf Coast, 2016","docAbstract":"The U.S. Geological Survey completed a geology-based assessment of undiscovered, technically recoverable oil and gas resources in the Haynesville and Bossier Formations of the onshore and State waters portion of the U.S. Gulf Coast region. Haynesville Formation conventional oil and gas production began in the late 1930s, whereas Bossier Formation production began in the early 1970s. Production of continuous gas resources from both formations began in 2006–7. Most of the current activity is focused on natural gas production from Haynesville and Bossier shales using horizontal wells and hydraulic fracturing. In 2016, the U.S. Geological Survey assessed technically recoverable mean resources of 4 billion barrels of oil and 304.4 trillion cubic feet of gas in the Haynesville and Bossier Formations of the onshore and State waters portion of the U.S. Gulf Coast region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181135","usgsCitation":"Paxton, S.T., 2018, Assessment of oil and gas resources in the Upper Jurassic Haynesville and Bossier Formations, U.S. Gulf Coast, 2016: U.S. Geological Survey Open-File Report 2018–1135, 13 p., https://doi.org/10.3133/ofr20181135.","productDescription":"ii, 13 p.","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-098785","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":357757,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1135/ofr20181135.pdf","text":"Report","size":"9.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1135"},{"id":357756,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1135/coverthb.jpg"}],"otherGeospatial":"Upper Jurassic Haynesville and Bossier Formations","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
The Williston Basin of the Northern Great Plains is a sedimentary basin—a geologic bowl-like structure filled with layered sedimentary rocks dating as far back as the Paleozoic age. The basin, which is nationally important for the production of energy resources, spans Montana, North Dakota, and South Dakota in the United States, and Manitoba and Saskatchewan in Canada. The three uppermost principal aquifer systems are the glacial, lower Tertiary, and Upper Cretaceous aquifer systems. As deep as 3,000 feet (ft) at the center of the basin, these are the most accessible aquifer systems in the basin and are the primary sources of potable groundwater in much of this area. The glacial aquifer system consists of Quaternary-age unconsolidated till, silt, clay, outwash sand and gravel, and occasional cobbles and boulders. The lower Tertiary and Upper Cretaceous aquifer systems consist primarily of sandstone, siltstone, mudstone, shale, and coal.
As energy demands have increased in the basin, horizontal drilling and hydraulic-fracturing have been used (especially since 2005) to develop previously inaccessible formations—namely, the Bakken and Three Forks Formations. The basin has yielded a large supply of domestic oil and natural gas since the 1950s, but the technologies required to extract those materials use large amounts of freshwater. The increasing freshwater demands of energy production in the Williston Basin, in addition to population growth, have led to a need for new tools to assess groundwater resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1841","collaboration":"Water Availability and Use Science Program","usgsCitation":"Long, A.J., Thamke, J.N., Davis, K.W., and Bartos, T.T., 2018, Groundwater availability of the Williston Basin, United States and Canada: U.S. Geological Survey Professional Paper 1841, 42 p., https://doi.org/10.3133/pp1841.","productDescription":"Report: viii, 42 p.; Data releases","onlineOnly":"Y","ipdsId":"IP-095100","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":357810,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78P5ZDV","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water use data for hydraulic fracturing treatments in the Williston Basin, United States, 2000–2015"},{"id":357812,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20183046","text":"Fact Sheet 2018–3046","description":"FS 2018-3046"},{"id":357811,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FACTT3","text":"USGS data release","description":"USGS Data Release","linkHelpText":"MODFLOW-NWT model of predictive simulations of groundwater response to selected scenarios in the Williston Basin, United States and Canada"},{"id":357808,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1841/coverthb.jpg"},{"id":357809,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1841/pp1841.pdf","text":"Report","size":"18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1841"}],"country":"Canada, United States","otherGeospatial":"Williston Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108,\n 44\n ],\n [\n -98,\n 44\n ],\n [\n -98,\n 51\n ],\n [\n -108,\n 51\n ],\n [\n -108,\n 44\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director , Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, Montana 59601
The lateral export of carbon from coastal marshes via tidal exchange is a key component of the marsh carbon budget and coastal carbon cycles. However, the magnitude of this export has been difficult to accurately quantify due to complex tidal dynamics and seasonal cycling of carbon. In this study, we use in situ, high-frequency measurements of dissolved inorganic carbon (DIC) and water fluxes to estimate lateral DIC fluxes from a U.S. northeastern salt marsh. DIC was measured by a CHANnelized Optical Sensor (CHANOS) that provided an in situ concentration measurement at 15-min intervals, during periods in summer (July – August) and late fall (December). Seasonal changes in the marsh had strong effects on DIC concentrations, while tidally-driven water fluxes were the fundamental vehicle of marsh carbon export. Episodic events, such as groundwater discharge and mean sea water level changes, can impact DIC flux through altered DIC concentrations and water flow. Variability between individual tides within each season was comparable to mean variability between the two seasons. Estimated mean DIC fluxes based on a multiple linear regression (MLR) model of DIC concentrations and high-frequency water fluxes agreed reasonably well with those derived from CHANOS DIC measurements for both study periods, indicating that high-frequency, modeled DIC concentrations, coupled with continuous water flux measurements and a hydrodynamic model, provide a robust estimate of DIC flux. Additionally, an analysis of sampling strategies revealed that DIC fluxes calculated using conventional sampling frequencies (hourly to two-hourly) of a single tidal cycle are unlikely to capture a representative mean DIC flux compared to longer-term measurements across multiple tidal cycles with sampling frequency on the order of tens of minutes. This results from a disproportionately large amount of the net DIC flux occurring over a small number of tidal cycles, while most tides have a near-zero DIC export. Thus, high-frequency measurements (on the order of tens of minutes or better) over the time period of interest are necessary to accurately quantify tidal exports of carbon species from salt marshes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marchem.2018.08.005","usgsCitation":"Chu, S.N., Wang, Z., Gonneea Eagle, M., Kroeger, K.D., and Ganju, N., 2018, Deciphering the dynamics of inorganic carbon export from intertidal salt marshes using high-frequency measurements: Marine Chemistry, v. 206, p. 7-18, https://doi.org/10.1016/j.marchem.2018.08.005.","productDescription":"12 p.","startPage":"7","endPage":"18","ipdsId":"IP-099810","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468365,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marchem.2018.08.005","text":"Publisher Index Page"},{"id":357773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"206","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f8be4b0fc368eb538ab","contributors":{"authors":[{"text":"Chu, Sophie N.","contributorId":174603,"corporation":false,"usgs":false,"family":"Chu","given":"Sophie","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":741590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Zhaohui Aleck","contributorId":174589,"corporation":false,"usgs":false,"family":"Wang","given":"Zhaohui Aleck","affiliations":[{"id":13627,"text":"Woods Hole Oceanographic Institution, Woods Hole, MA","active":true,"usgs":false}],"preferred":false,"id":741591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gonneea Eagle, Meagan 0000-0001-5072-2755 mgonneea@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":174590,"corporation":false,"usgs":true,"family":"Gonneea Eagle","given":"Meagan","email":"mgonneea@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":741589,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":741592,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":741593,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195563,"text":"fs20183008 - 2018 - Sediment Source Assessment Using Sediment Fingerprints","interactions":[],"lastModifiedDate":"2018-09-26T13:39:56","indexId":"fs20183008","displayToPublicDate":"2018-09-26T09:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3008","title":"Sediment Source Assessment Using Sediment Fingerprints","docAbstract":"Sediment is one of the most common causes of loss of stream-biologic integrity, whether in suspension in the water column, or as deposition on a stream or lake bottom. Fine-grained silts and clays are of particular concern because they can degrade habitat and often carry phosphorus and (or) other contaminants harmful to humans and aquatic life. Sediment-impaired water bodies, usually identified by fair to poor macroinvertebrate index scores, are placed on the 303(d) list of impaired waters, where a sediment Total Maximum Daily Load (TMDL) is developed under the Clean Water Act (https://www.epa.gov/tmdl). In order to effectively manage sediment, it is necessary to identify the sediment sources and locations of “hot spots” of erosion and deposition.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183008","usgsCitation":"Gellis, A.C., Gorman Sanisaca, L.E., and Cashman, M.J., 2018, Sediment source assessment using sediment fingerprints: U.S. Geological Survey Fact Sheet 2018–3008, 2 p., https://doi.org/10.3133/fs20183008.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":206,"text":"Cooperative Water Program","active":false,"usgs":true}],"links":[{"id":351881,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3008/coverthb2.jpg"},{"id":351882,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3008/fs20183008.pdf","text":"Report","size":"577 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3008"}],"contact":"Director, Maryland-Delaware-D.C. Water Science Center
U.S. Geological Survey
5522 Research Park Drive
Baltimore, MD 21228
This paper extends and detides a Karachi tide-gauge record as an observational basis for assessing Indian Ocean tsunami risk. The extended marigram encompasses the time of the great 1945 Makran earthquake of early November 28, local time, and of the ensuing tsunami, which continued into November 29. The marigram was published previously as a 9-h excerpt that begins 1 h after the earthquake. The full marigram presented here covers most of 17 days from November 15 to December 1. Gaps include a tsunami-induced outage that may help explain why the highest water level gauged is 1 m below the maximum water level reported nearby. The detiding method computes a reference tidal curve that disregards all observations from November 28 and 29. For those 2 days, the reference tide is guided by Admiralty tide tables and, secondarily, by high waters and low waters gauged before and after. As in previous estimates, the detided tsunami crests about 0.5 m above ambient tide, but now with the possibility that the gauge failed to record a higher wave. Anomalies described for the first time include an early one that likely resulted from a recognized problem with the Karachi tide station, but which might instead represent an earthquake precursor.
","language":"English","publisher":"Springer","doi":"10.1186/s40562-018-0121-z","usgsCitation":"Adams, L.M., Atwater, B., and Hasan, H., 2018, Karachi tides during the 1945 Makran tsunami: Geoscience Letters, v. 5, 25, 13 p., https://doi.org/10.1186/s40562-018-0121-z.","productDescription":"25, 13 p.","ipdsId":"IP-096184","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":468368,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40562-018-0121-z","text":"Publisher Index Page"},{"id":406950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Pakistan","city":"Karachi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 64.31396484375,\n 23.50355189742412\n ],\n [\n 68.35693359375,\n 23.50355189742412\n ],\n [\n 68.35693359375,\n 25.819671943904044\n ],\n [\n 64.31396484375,\n 25.819671943904044\n ],\n [\n 64.31396484375,\n 23.50355189742412\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","noUsgsAuthors":false,"publicationDate":"2018-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Adams, Loyce M.","contributorId":296685,"corporation":false,"usgs":false,"family":"Adams","given":"Loyce","email":"","middleInitial":"M.","affiliations":[{"id":64136,"text":"University of Washington [Seattle]","active":true,"usgs":false}],"preferred":false,"id":852164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwater, Brian F. 0000-0003-1155-2815","orcid":"https://orcid.org/0000-0003-1155-2815","contributorId":204658,"corporation":false,"usgs":true,"family":"Atwater","given":"Brian F.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":852165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hasan, Haider","contributorId":194819,"corporation":false,"usgs":false,"family":"Hasan","given":"Haider","email":"","affiliations":[],"preferred":false,"id":852166,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199688,"text":"70199688 - 2018 - Plant production responses to precipitation differ along an elevation gradient and are enhanced under extremes","interactions":[],"lastModifiedDate":"2019-05-29T09:25:24","indexId":"70199688","displayToPublicDate":"2018-09-25T16:30:59","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Plant production responses to precipitation differ along an elevation gradient and are enhanced under extremes","docAbstract":"The sensitivity of plant production to precipitation underlies the functioning of ecosystems. Studies that relate long-term mean annual precipitation and production across multiple sites(spatial relationship) or examine interannual linkages within a site (temporal relationship) can reveal biophysical controls over ecosystem function but have limited ability to infer responses to extreme changes in precipitation that may become more common under climate change. To overcome limitations of using a single approach, we integrated satellite- and ground-based estimates of production with a standardized, multi-site precipitation manipulation experiment across a grassland elevation gradient in the southwestern USA. The responsiveness of production to changes in precipitation followed the order: temporal (0.06–0.13 g m−2 mm−1) < spatial (0.21 g m−2 mm−1) < experimental relationship (0.25–0.42 g m−2 mm−1), suggesting that spatial and temporal relationships determined with satellite- and ground-based estimates cannot be extrapolated to determine the effect of extreme events. A strong production response to differences in mean annual precipitation across sites reinforces a regional control of water availability. Interannual sensitivity to precipitation was strongest at the low elevation grasslands, and the high elevation mixed conifer meadow had a large reduction in production in a drought year. Extreme experimental drought strongly reduced production in low elevation grasslands, but water addition had mixed effects. High elevation meadows were insensitive to both extreme drought and water addition. Our results highlight the importance of accounting for extreme climate regimes and site-level factors when scaling climate change effects up to regional and global scales.
","language":"English","publisher":"Springer","doi":"10.1007/s10021-018-0296-3","usgsCitation":"Munson, S.M., Bunting, E., Bradford, J.B., Butterfield, B.J., and Gremer, J., 2018, Plant production responses to precipitation differ along an elevation gradient and are enhanced under extremes: Ecosystems, v. 22, no. 4, p. 699-708, https://doi.org/10.1007/s10021-018-0296-3.","productDescription":"10 p.","startPage":"699","endPage":"708","ipdsId":"IP-090212","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":357723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-11","publicationStatus":"PW","scienceBaseUri":"5bc02f8ce4b0fc368eb538b7","contributors":{"authors":[{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":746196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunting, Erin L.","contributorId":208169,"corporation":false,"usgs":false,"family":"Bunting","given":"Erin L.","affiliations":[{"id":37758,"text":"Michigan State University, East Lansing, MI USA","active":true,"usgs":false}],"preferred":false,"id":746197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":746198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":746199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gremer, Jennifer R.","contributorId":181751,"corporation":false,"usgs":false,"family":"Gremer","given":"Jennifer R.","affiliations":[],"preferred":false,"id":746200,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198994,"text":"sir20185112 - 2018 - Flood-inundation maps for the lower Pawcatuck River in Westerly, Rhode Island, and Stonington and North Stonington, Connecticut","interactions":[],"lastModifiedDate":"2018-09-25T10:58:43","indexId":"sir20185112","displayToPublicDate":"2018-09-24T15:15:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5112","displayTitle":"Flood-inundation maps for the lower Pawcatuck River in Westerly, Rhode Island, and Stonington and North Stonington, Connecticut","title":"Flood-inundation maps for the lower Pawcatuck River in Westerly, Rhode Island, and Stonington and North Stonington, Connecticut","docAbstract":"A series of 11 digital flood-inundation maps was developed for a 5.5-mile reach of the lower Pawcatuck River in Westerly, Rhode Island, and Stonington and North Stonington, Connecticut, by the U.S. Geological Survey (USGS) in cooperation with the Town of Westerly, Rhode Island, and the Rhode Island Office of Housing and Community Development. The coverage of the maps extends from downstream from the Ashaway River inflow at the State Border between Hopkinton and Westerly, Rhode Island, and North Stonington, Connecticut, to about 500 feet (ft) downstream from the U.S. Route 1/Broad Street bridge on the State border between Westerly, Rhode Island, and Stonington, Connecticut. A one-dimensional step-backwater hydraulic model created and calibrated for an ongoing (2018) Federal Emergency Management Agency Flood-Insurance Study for New London County, Connecticut and Washington County, Rhode Island was updated for this study. The hydraulic model reflects the removal of the White Rock dam during 2015–16, and was calibrated using the stage-discharge relation at the USGS Pawcatuck River at Westerly, Rhode Island, streamgage (01118500) and documented high-water marks from the March 30, 2010, flood, which had a peak flow slightly greater than the estimated 0.2-percent annual exceedance probability floodflow.
The hydraulic model was used to compute water-surface profiles for 11 flood stages at 1-ft intervals referenced to the USGS Pawcatuck River at Westerly, Rhode Island, streamgage (01118500) and ranging from 6.0 ft (3.32 ft, North American Vertical Datum of 1988), which is the National Weather Service Advanced Hydrologic Prediction Service flood category “action stage,” to 16.0 ft (13.32 ft, North American Vertical Datum of 1988), which is the maximum stage of the stage-discharge relation at the streamgage and exceeds the National Weather Service Advanced Hydrologic Prediction Service flood category “major flood stage” of 11.0 ft. The simulated water-surface profiles were combined with a geographic information system digital elevation model derived from light detection and ranging (lidar) data with a 1.0-ft vertical accuracy to create flood-inundation maps. The flood-inundation maps depict estimates of the areal extent and depth of flooding corresponding to 11 selected flood stages at the streamgage. The flood-inundation maps depict only riverine flooding and do not depict any tidal backwater or coastal storm surge that could occur in the lower part of the river reach. The flood-inundation maps can be accessed through the USGS Flood Inundation Mapping Science website at https://water.usgs.gov/osw/flood_inundation. Near-real-time stages and discharges at the Pawcatuck River streamgage can be obtained from the USGS National Water Information System at https://waterdata.usgs.gov/. The National Weather Service Advanced Hydrologic Prediction Service provides flood forecast of stage for this site (WSTR1) at https://water.weather.gov/ahps/.
The availability of flood-inundation maps referenced to current and forecasted water levels at the USGS Pawcatuck River at Westerly, Rhode Island streamgage (01118500) can provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, and postflood recovery efforts. The flood-inundation maps are nonregulatory but provide Federal, State, and local agencies and the public with estimates of the potential extent of flooding during flood events.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185112","collaboration":"Prepared in cooperation with the Town of Westerly, Rhode Island, and the Rhode Island Office of Housing and Community Development","usgsCitation":"Bent, G.C., and Lombard, P.J., 2018, Flood-inundation maps for the lower Pawcatuck River in Westerly, Rhode Island, and Stonington and North Stonington, Connecticut: U.S. Geological Survey Scientific Investigations Report 2018–5112, 16 p., https://doi.org/10.3133/sir20185112.","productDescription":"Report: vii, 16 p.; Application Site; Data Release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-091691","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":357651,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7610Z80 ","text":"USGS data release","description":"USGS data release","linkHelpText":"Flood-Inundation Grids and Shapefiles for the Lower Pawcatuck River in Westerly, Rhode Island, and Stonington and North Stonington, Connecticut"},{"id":437742,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G0N0TN","text":"USGS data release","linkHelpText":"River Channel Survey Data, Redwood Creek, California, 1953-2013"},{"id":437741,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7610Z80","text":"USGS data release","linkHelpText":"Flood-Inundation Grids and Shapefiles for the Lower Pawcatuck River in Westerly, Rhode Island, and Stonington and North Stonington, Connecticut"},{"id":357652,"rank":4,"type":{"id":4,"text":"Application Site"},"url":"https://wimcloud.usgs.gov/apps/FIM/FloodInundationMapper.html ","linkFileType":{"id":5,"text":"html"},"linkHelpText":"- Flood Inundation Mapper"},{"id":357649,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5112/coverthb.jpg"},{"id":357650,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5112/sir20185112.pdf","text":"Report","size":"1.21 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5112"}],"country":"United States","state":"Connecticut, Rhode Island","city":"North Stonington, Stonington, Westerly","otherGeospatial":"Lower Pawcatuck River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.85,\n 41.3667\n ],\n [\n -71.7833,\n 41.3667\n ],\n [\n -71.7833,\n 41.425\n ],\n [\n -71.85,\n 41.425\n ],\n [\n -71.85,\n 41.3667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
Groundwater quality in the North San Francisco Bay area Public-Supply and Shallow Aquifer Systems was investigated by the GAMA-PBP. The North San Francisco Bay Public-Supply Aquifer System study unit (NSF-PA) was sampled in 2004. The North San Francisco Bay Shallow Aquifer System study unit (NSF-SA) was sampled in 2012. The NSF-PA and NSF-SA largely coincide areally; however, they represent different parts of the aquifer system vertically. The NSF-PA examined deeper groundwater primarily used for public supply, whereas the NSF-SA examined relatively shallow groundwater primarily used for domestic supply. Both study units were divided into two study areas: (1) alluvium-filled groundwater basins called the Valleys and Plains study area and (2) volcanic, metamorphic, and ultramafic hard-rock highlands surrounding the Valleys and Plains called the Highlands study area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183064","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Bennett, G.L., 2018, Comparing Public-Supply and Shallow Aquifer Groundwater Quality in the North San Francisco Bay Aquifers, California: U.S. Geological Survey Fact Sheet 2018-3064, 4 p., https://doi.org/10.3133/fs20183064.","productDescription":"4 p.","ipdsId":"IP-096675","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":357681,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3064/fs20183064.pdf","text":"Report","size":"3.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2018-3064"},{"id":357680,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3064/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"North San Francisco Bay Aquifers","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.25,\n 38\n ],\n [\n -122,\n 38\n ],\n [\n -122,\n 39\n ],\n [\n -123.25,\n 39\n ],\n [\n -123.25,\n 38\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
This work used mercury injection capillary pressure (MICP) analyses of the Tuscaloosa Group in Mississippi, including the Tuscaloosa marine shale (TMS), to assess their efficacy and sealing capacity for geologic carbon dioxide (CO2) sequestration. Tuscaloosa Group porosity and permeability from MICP were evaluated to calculate CO2 column height retention. TMS and Lower Tuscaloosa shale samples have, respectively, Swanson permeability values less than 0.003 md and 0.00245 md; porosity from 3.86% to 9.86% and 1.34% to 7.96%; median pore throat sizes from 0.00342 to 0.0111 μm and 0.00311 to 0.017 μm; and pore radii from 0.0130 to 0.152 μm and 0.0132 to 0.149 μm. Mercury entry pressures for the TMS and Lower Tuscaloosa range from 4.9 to 57.1 MPa and 5.0 to 56.3 MPa, respectively. Calculated CO2 column heights that the TMS sample set can retain in the reservoir range from 23 to 255 m when the TMS is near 100% water saturation. Potential top seal leakage is more likely to be influenced by the numerous well penetrations through the confining system of the TMS rather than capillary failure. Results of this study demonstrate desirable sealing capacity of the TMS for geologic CO2 sequestration in reservoir sandstones of the Lower Tuscaloosa and could provide an analogue to other potential CO2 sequestration top seals.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijggc.2018.09.006","usgsCitation":"Lohr, C., and Hackley, P.C., 2018, Using mercury injection pressure analyses to estimate sealing capacity of the Tuscaloosa marine shale in Mississippi, USA: Implications for carbon dioxide sequestration: International Journal of Greenhouse Gas Control, v. 78, p. 375-387, https://doi.org/10.1016/j.ijggc.2018.09.006.","productDescription":"13 p.","startPage":"375","endPage":"387","ipdsId":"IP-095213","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":468371,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijggc.2018.09.006","text":"Publisher Index Page"},{"id":437743,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BC3XTK","text":"USGS data release","linkHelpText":"Mercury injection capillary pressure data in the U.S. Gulf Coast Tuscaloosa Group in Mississippi and Louisiana collected 2015 to 2017"},{"id":357684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92,\n 29.5\n ],\n [\n -89,\n 29.5\n ],\n [\n -89,\n 32.5\n ],\n [\n -92,\n 32.5\n ],\n [\n -92,\n 29.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f8ee4b0fc368eb538c5","contributors":{"authors":[{"text":"Lohr, Celeste D. 0000-0001-6287-9047 clohr@usgs.gov","orcid":"https://orcid.org/0000-0001-6287-9047","contributorId":3866,"corporation":false,"usgs":true,"family":"Lohr","given":"Celeste D.","email":"clohr@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":746117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":746118,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199631,"text":"70199631 - 2018 - Mangrove forests in a rapidly changing world: Global change impacts and conservation opportunities along the Gulf of Mexico coast","interactions":[],"lastModifiedDate":"2018-09-28T08:46:47","indexId":"70199631","displayToPublicDate":"2018-09-24T11:36:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Mangrove forests in a rapidly changing world: Global change impacts and conservation opportunities along the Gulf of Mexico coast","docAbstract":"Mangrove forests are highly-productive intertidal wetlands that support many ecosystem goods and services. In addition to providing fish and wildlife habitat, mangrove forests improve water quality, provide seafood, reduce coastal erosion, supply forest products, support coastal food webs, minimize flooding impacts, and support high rates of carbon sequestration. Despite their tremendous societal value, mangrove forests are threatened by many aspects of global change. Here, we examine the effects of global change on mangrove forests along the Gulf of Mexico coast, which is a valuable region for advancing understanding of global change impacts because the region spans multiple ecologically-relevant abiotic gradients that are representative of other mangrove transition zones across the world. We consider the historical and anticipated future responses of mangrove forests to the following aspects of global change: temperature change, precipitation change, accelerated sea-level rise, tropical cyclone intensification, elevated atmospheric carbon dioxide, eutrophication, invasive non-native species, and land use change. For each global change factor, we provide an initial global perspective but focus primarily on the three countries that border the Gulf of Mexico: United States, Mexico, and Cuba. The interactive effects of global change can have large ecological consequences, and we provide examples that highlight their importance. While some interactions between global change drivers can lead to mangrove mortality and loss, others can lead to mangrove expansion at the expense of other ecosystems. Finally, we discuss strategies for using restoration and conservation to maximize the adaptive capacity of mangrove forests to global change. To ensure that the ecosystem goods and services provided by mangrove forests continue to be available for future generations, there is a pressing need to better protect, manage, and restore mangrove forests as well as the adjacent ecosystems that provide opportunities for adaptation in response to global change.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2018.09.006","usgsCitation":"Osland, M.J., Feher, L.C., Lopez-Portillo, J., Day, R.H., Suman, D.O., Guzman Menendez, J.M., and Rivera-Monroy, V.H., 2018, Mangrove forests in a rapidly changing world: Global change impacts and conservation opportunities along the Gulf of Mexico coast: Estuarine, Coastal and Shelf Science, v. 214, p. 120-140, https://doi.org/10.1016/j.ecss.2018.09.006.","productDescription":"21 p.","startPage":"120","endPage":"140","ipdsId":"IP-087566","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2018.09.006","text":"Publisher Index Page"},{"id":357669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"214","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f98e4b0fc368eb538cd","contributors":{"authors":[{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":746027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feher, Laura C. 0000-0002-5983-6190 lhundy@usgs.gov","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":176788,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","email":"lhundy@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":746028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lopez-Portillo, Jorge","contributorId":208129,"corporation":false,"usgs":false,"family":"Lopez-Portillo","given":"Jorge","email":"","affiliations":[{"id":37732,"text":"Instituto de Ecología A.C., Red de Ecología Funcional, Xalapa, Veracruz, México","active":true,"usgs":false}],"preferred":false,"id":746029,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":746030,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suman, Daniel O.","contributorId":208131,"corporation":false,"usgs":false,"family":"Suman","given":"Daniel","email":"","middleInitial":"O.","affiliations":[{"id":37733,"text":"University of Miami, Department of Marine Ecosystems and Society, Miami, FL, USA","active":true,"usgs":false}],"preferred":false,"id":746031,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guzman Menendez, Jose Manuel","contributorId":208132,"corporation":false,"usgs":false,"family":"Guzman Menendez","given":"Jose","email":"","middleInitial":"Manuel","affiliations":[{"id":37734,"text":"Instituto de Ecología y Sistematica, Agencia de Medio Ambiente, Ministerio de Ciencia Tecnología y Medio Ambiente, La Habana, Cuba","active":true,"usgs":false}],"preferred":false,"id":746032,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rivera-Monroy, Victor H. 0000-0003-2804-4139","orcid":"https://orcid.org/0000-0003-2804-4139","contributorId":200322,"corporation":false,"usgs":false,"family":"Rivera-Monroy","given":"Victor","email":"","middleInitial":"H.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":746033,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}