{"pageNumber":"847","pageRowStart":"21150","pageSize":"25","recordCount":40783,"records":[{"id":97484,"text":"sir20095029 - 2009 - Primary Productivity in Meduxnekeag River, Maine, 2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:27","indexId":"sir20095029","displayToPublicDate":"2009-05-06T00:00:00","publicationYear":"2009","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":"2009-5029","title":"Primary Productivity in Meduxnekeag River, Maine, 2005","docAbstract":"During August and September 2005, dissolved oxygen, temperature, pH, specific conductance, streamflow, and light intensity (LI) were determined continuously at six sites defining five reaches on Meduxnekeag River above and below Houlton, Maine. These data were collected as input for a dual-station whole-stream metabolism model to evaluate primary productivity in the river above and below Houlton. The river receives nutrients and organic matter from tributaries and the Houlton wastewater treatment plant (WWTP). Model output estimated gross and net primary productivity for each reach. Gross primary productivity (GPP) varied in each reach but was similar and positive among the reaches. GPP was correlated to LI in the four reaches above the WWTP but not in the reach below. Net primary productivity (NPP) decreased in each successive downstream reach and was negative in the lowest two reaches. NPP was weakly related to LI in the upper two reaches and either not correlated or negatively correlated in the lower three reaches. Relations among GPP, NPP, and LI indicate that the system is heterotrophic in the downstream reaches. The almost linear decrease in NPP (the increase in metabolism and respiration) indicates a cumulative effect of inputs of nutrients and organic matter from tributaries that drain agricultural land, the town of Houlton, and the discharges from the WWTP.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095029","collaboration":"Prepared in cooperation with the Houlton Band of Maliseet Indians","usgsCitation":"Goldstein, R.M., Schalk, C.W., and Kempf, J.P., 2009, Primary Productivity in Meduxnekeag River, Maine, 2005: U.S. Geological Survey Scientific Investigations Report 2009-5029, iv, 17 p., https://doi.org/10.3133/sir20095029.","productDescription":"iv, 17 p.","onlineOnly":"Y","temporalStart":"2005-08-01","temporalEnd":"2005-09-30","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":195161,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12631,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5029/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.9,46.083333333333336 ], [ -67.9,46.2 ], [ -67.76666666666667,46.2 ], [ -67.76666666666667,46.083333333333336 ], [ -67.9,46.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db667d23","contributors":{"authors":[{"text":"Goldstein, Robert M.","contributorId":68267,"corporation":false,"usgs":true,"family":"Goldstein","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":302269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schalk, Charles W. cwschalk@usgs.gov","contributorId":1726,"corporation":false,"usgs":true,"family":"Schalk","given":"Charles","email":"cwschalk@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kempf, Joshua P.","contributorId":35834,"corporation":false,"usgs":true,"family":"Kempf","given":"Joshua","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":302268,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97483,"text":"sir20095084 - 2009 - Baseline Channel Geometry and Aquatic Habitat Data for Selected Streams in the Matanuska-Susitna Valley, Alaska","interactions":[],"lastModifiedDate":"2018-05-06T10:51:36","indexId":"sir20095084","displayToPublicDate":"2009-05-06T00:00:00","publicationYear":"2009","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":"2009-5084","title":"Baseline Channel Geometry and Aquatic Habitat Data for Selected Streams in the Matanuska-Susitna Valley, Alaska","docAbstract":"Small streams in the rapidly developing Matanuska-Susitna Valley in south-central Alaska are known to support anadromous and resident fish but little is known about their hydrologic and riparian conditions, or their sensitivity to the rapid development of the area or climate variability. To help address this need, channel geometry and aquatic habitat data were collected in 2005 as a baseline of stream conditions for selected streams. Three streams were selected as representative of various stream types, and one drainage network, the Big Lake drainage basin, was selected for a systematic assessment. Streams in the Big Lake basin were drawn in a Geographic Information System (GIS), and 55 reaches along 16 miles of Meadow Creek and its primary tributary Little Meadow Creek were identified from orthoimagery and field observations on the basis of distinctive physical and habitat parameters, most commonly gradient, substrate, and vegetation. Data-collection methods for sites at the three representative reaches and the 55 systematically studied reaches consisted of a field survey of channel and flood-plain geometry and collection of 14 habitat attributes using published protocols or slight modifications. Width/depth and entrenchment ratios along the Meadow-Little Meadow Creek corridor were large and highly variable upstream of Parks Highway and lower and more consistent downstream of Parks Highway. Channel width was strongly correlated with distance, increasing downstream in a log-linear relation. Runs formed the most common habitat type, and instream vegetation dominated the habitat cover types, which collectively covered 53 percent of the channel. Gravel suitable for spawning covered isolated areas along Meadow Creek and about 29 percent of Little Meadow Creek. Broad wetlands were common along both streams. For a comprehensive assessment of small streams in the Mat-Su Valley, critical additional data needs include hydrologic, geologic and geomorphic, and biologic data, in particular the contribution of ground water and lakes to streamflow, water quality, flood plain connectivity, and surficial geology. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095084","collaboration":"Prepared in cooperation with U.S. Fish and Wildlife Service","usgsCitation":"Curran, J.H., and Rice, W.J., 2009, Baseline Channel Geometry and Aquatic Habitat Data for Selected Streams in the Matanuska-Susitna Valley, Alaska: U.S. Geological Survey Scientific Investigations Report 2009-5084, Report: vi, 25 p.; Appendix; Zip File, https://doi.org/10.3133/sir20095084.","productDescription":"Report: vi, 25 p.; Appendix; Zip File","additionalOnlineFiles":"Y","temporalStart":"2005-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":124399,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5084.jpg"},{"id":12630,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5084/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -150.08333333333334,61.333333333333336 ], [ -150.08333333333334,61.833333333333336 ], [ -148.83333333333334,61.833333333333336 ], [ -148.83333333333334,61.333333333333336 ], [ -150.08333333333334,61.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db648806","contributors":{"authors":[{"text":"Curran, Janet H. 0000-0002-3899-6275 jcurran@usgs.gov","orcid":"https://orcid.org/0000-0002-3899-6275","contributorId":690,"corporation":false,"usgs":true,"family":"Curran","given":"Janet","email":"jcurran@usgs.gov","middleInitial":"H.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":302265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rice, William J.","contributorId":24464,"corporation":false,"usgs":true,"family":"Rice","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":302266,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97482,"text":"sir20095078 - 2009 - Assessment of Eutrophication in the Lower Yakima River Basin, Washington, 2004-07","interactions":[],"lastModifiedDate":"2012-03-08T17:16:25","indexId":"sir20095078","displayToPublicDate":"2009-05-06T00:00:00","publicationYear":"2009","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":"2009-5078","title":"Assessment of Eutrophication in the Lower Yakima River Basin, Washington, 2004-07","docAbstract":"In response to concerns that excessive plant growth in the lower Yakima River in south-central Washington was degrading water quality and affecting recreational use, the U.S. Geological Survey and the South Yakima Conservation District conducted an assessment of eutrophication in the lower 116 miles of the river during the 2004-07 irrigation seasons (March - October). The lower Yakima River was divided into three distinct reaches based on geomorphology, habitat, aquatic plant and water-quality conditions. The Zillah reach extended from the upstream edge of the study area at river mile (RM) 116 to RM 72, and had abundant periphyton growth and sparse macrophyte growth, the lowest nutrient concentrations, and moderately severe summer dissolved oxygen and pH conditions in 2005. The Mabton reach extended from RM 72 to RM 47, and had sparse periphyton and macrophyte growth, the highest nutrient conditions, but the least severe summer dissolved oxygen and pH conditions in 2005. The Kiona reach extended from RM 47 to RM 4, and had abundant macrophyte and epiphytic algae growth, relatively high nutrient concentrations, and the most severe summer dissolved oxygen and pH conditions in 2005. \r\n\r\nNutrient concentrations in the lower Yakima River were high enough at certain times and locations during the irrigation seasons during 2004-07 to support the abundant growth of periphytic algae and macrophytes. The metabolism associated with this aquatic plant growth caused large daily fluctuations in dissolved oxygen concentrations and pH levels that exceeded the Washington State water-quality standards for these parameters between July and September during all 4 years, but also during other months when streamflow was unusually low. The daily minimum dissolved oxygen concentration was strongly and negatively related to the preceding day's maximum water temperature - information that could prove useful if a dissolved oxygen predictive model is developed for the lower Yakima River. \r\n\r\nPeriphytic algal growth generally was not nutrient-limited and frequently reached nuisance levels in the Zillah reach, where some surface-water nutrient concentrations were below the reference concentrations suggested by the U.S. Environmental Protection Agency. Although lowering nutrient concentrations in this reach might limit periphytic algal growth enough to improve dissolved oxygen and pH conditions, ground water inflow at some locations might still provide an adequate supply of nutrients for periphytic algal growth.\r\n\r\nMacrophyte growth in the Kiona reach was dominated by water stargrass (Heteranthera dubia), was far greater compared to the other two reaches, varied greatly between years, and was negatively related to greater spring runoff due to lower light availability. Lowering nutrient concentrations in the Kiona reach might not impact the level of macrophyte growth because macrophytes with extensive root systems such as water stargrass can get nutrients from river sediment. In addition, the results from this study did not indicate any nutrient uptake by the macrophytes from the water column (nutrient uptake from the sediment was not examined). Creating the prolonged turbid and deep conditions during spring necessary to suppress macrophyte growth in this reach would not be possible in years with low streamflow. In addition, because of the relatively stable substrate present in much of this reach, the macrophyte root systems would likely not be disturbed under all but the most extremely high streamflows that occur in the lower Yakima River.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095078","collaboration":"Prepared in cooperation with the South Yakima Conservation District","usgsCitation":"Wise, D.R., Zuroske, M.L., Carpenter, K., and Kiesling, R.L., 2009, Assessment of Eutrophication in the Lower Yakima River Basin, Washington, 2004-07: U.S. Geological Survey Scientific Investigations Report 2009-5078, x, 109 p., https://doi.org/10.3133/sir20095078.","productDescription":"x, 109 p.","temporalStart":"2004-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":124866,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5078.jpg"},{"id":12629,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5078/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.5,45.833333333333336 ], [ -121.5,47.75 ], [ -119,47.75 ], [ -119,45.833333333333336 ], [ -121.5,45.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672991","contributors":{"authors":[{"text":"Wise, Daniel R. 0000-0002-1215-9612 dawise@usgs.gov","orcid":"https://orcid.org/0000-0002-1215-9612","contributorId":29891,"corporation":false,"usgs":true,"family":"Wise","given":"Daniel","email":"dawise@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":302264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zuroske, Marie L.","contributorId":11723,"corporation":false,"usgs":true,"family":"Zuroske","given":"Marie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":302263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carpenter, Kurt D. kdcar@usgs.gov","contributorId":1372,"corporation":false,"usgs":true,"family":"Carpenter","given":"Kurt D.","email":"kdcar@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":302261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302262,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97480,"text":"sir20085178 - 2009 - Water quality and evaluation of pesticides in lakes in the Ridge Citrus region of central Florida","interactions":[],"lastModifiedDate":"2022-09-20T18:53:56.212525","indexId":"sir20085178","displayToPublicDate":"2009-05-06T00:00:00","publicationYear":"2009","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":"2008-5178","title":"Water quality and evaluation of pesticides in lakes in the Ridge Citrus region of central Florida","docAbstract":"Water chemistry, including major inorganic constituents, nutrients, and pesticide compounds, was compared between seven lakes surrounded by citrus agriculture and an undeveloped lake on the Lake Wales Ridge (herein referred to as the Ridge) in central Florida. The region has been recognized for its vulnerability to the leaching of agricultural chemicals into the subsurface due to factors including soils, climate, and land use. About 40 percent of Florida's citrus cultivation occurs in 'ridge citrus' areas characterized by sandy well drained soils, with the remainder in 'flatwoods citrus' characterized by high water tables and poorly drained soils. The lakes on the Ridge are typically flow-through lakes that exchange water with adjacent and underlying aquifer systems. This study is the first to evaluate the occurrence of pesticides in lakes on the Ridge, and also represents one of the first monitoring efforts nationally to focus on regional-scale assessment of current-use pesticides in small- to moderate-sized lakes (5 to 393 acres). The samples were collected between December 2003 and September 2005. \r\n      The lakes in citrus areas contained elevated concentrations of major inorganic constituents (including alkalinity, total dissolved solids, calcium, magnesium, sodium, potassium, chloride, and sulfate), total nitrogen, pH, and pesticides compared to the undeveloped lake. Nitrate (as N) and total nitrogen concentrations were typically elevated in the citrus lakes, with maximum values of 4.70 and 5.19 mg/L (milligrams per liter), respectively. Elevated concentrations of potassium, nitrate, and other inorganic constituents in the citrus lakes likely reflect inputs from the surficial ground-water system that originated predominantly from agricultural fertilizers, soil amendments, and inorganic pesticides.\r\n      A total of 20 pesticide compounds were detected in the lakes, of which 12 compounds exceeded the standardized reporting level of 0.06 ug/L (microgram per liter). Those most frequently detected above the 0.06-ug/L level were aldicarb sulfoxide, diuron, simazine degradates hydroxysimazine and didealkylatrazine (DDA), bromacil, norflurazon, and demethyl norflurazon which occurred at detection rates ranging from 25 to 86 percent of samples, respectively. Typically, pesticide concentrations in the lake samples were less than 1 microgram per liter. The number of targeted pesticide compounds detected per lake in the citrus areas ranged from 9 to 14 compared to 3 compounds detected at trace levels in the undeveloped lake. Consistent detections of parents and degradates in quarterly samples indicated the presence of pesticide compounds in the lakes many months or years (for example, bromacil) after their application, signaling the persistence of some pesticide compounds in the lakes and/or ground-water systems. Pesticide degradate concentrations frequently exceeded parent concentrations in the lakes. This study was the first in the Ridge citrus region to analyze for glyphosate - widely used in citrus - and its degradate aminomethylphosphonic acid (AMPA), neither of which were detected, as well as a number of triazine degradates, including hydroxysimazine, which were detected.\r\n      The lake pesticide concentrations did not exceed current Federal aquatic-life benchmarks, available for 10 of the 20 detected pesticide compounds. Limited occurrences of bromacil, diuron, or norflurazon concentrations were within about 10 to 90 percent of benchmark guidelines for acute effects on nonvascular aquatic plants in one or two of the lakes. The lake pesticide concentrations for several targeted pesticides were relatively high compared to corresponding national stream-water percentiles, which is consistent with this region's vulnerability for pesticide leaching into water resources. \r\n      Several factors were evaluated to gain insight into the processes controlling pesticide transport and fate, and to assess their utility for estimating th","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085178","collaboration":"Prepared in cooperation with the Florida Department of Environmental Protection and the Southwest Florida Water Management District","usgsCitation":"Choquette, A.F., and Kroening, S.E., 2009, Water quality and evaluation of pesticides in lakes in the Ridge Citrus region of central Florida: U.S. Geological Survey Scientific Investigations Report 2008-5178, vi, 55 p., https://doi.org/10.3133/sir20085178.","productDescription":"vi, 55 p.","temporalStart":"2003-12-01","temporalEnd":"2005-09-30","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":121020,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2008_5178.jpg"},{"id":12627,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5178/","linkFileType":{"id":5,"text":"html"}},{"id":407075,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86623.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Ridge Citrus region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.7036,\n              27.0389\n            ],\n            [\n              -81.2833,\n              27.0389\n            ],\n            [\n              -81.2833,\n              28.3361\n            ],\n            [\n              -81.7036,\n              28.3361\n            ],\n            [\n              -81.7036,\n              27.0389\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0de4b07f02db5fd488","contributors":{"authors":[{"text":"Choquette, Anne F. achoq@usgs.gov","contributorId":1225,"corporation":false,"usgs":true,"family":"Choquette","given":"Anne","email":"achoq@usgs.gov","middleInitial":"F.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroening, Sharon E.","contributorId":67868,"corporation":false,"usgs":true,"family":"Kroening","given":"Sharon","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":302257,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70156083,"text":"70156083 - 2009 - Vulnerability of carbon storage in North American boreal forests to wildfires during the 21st century","interactions":[],"lastModifiedDate":"2021-02-04T21:12:59.986279","indexId":"70156083","displayToPublicDate":"2009-05-04T11:15:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of carbon storage in North American boreal forests to wildfires during the 21st century","docAbstract":"<div data-canvas-width=\"637.6190599666666\"><span>The boreal forest contains large reserves of carbon. Across this region, wildfires influence the temporal and spatial dynamics of carbon storage. In this study, we estimate fire emissions and changes in carbon storage for boreal North America over the 21st century. We use a gridded data set developed with a multivariate adaptive regression spline approach to determine how area burned varies each year with changing climatic and fuel moisture conditions. We apply the process‐based Terrestrial Ecosystem Model to evaluate the role of future fire on the carbon dynamics of boreal North America in the context of changing atmospheric carbon dioxide (CO</span><sub>2</sub><span>) concentration and climate in the A2 and B2 emissions scenarios of the CGCM2 global climate model. Relative to the last decade of the 20th century, decadal total carbon emissions from fire increase by 2.5–4.4 times by 2091–2100, depending on the climate scenario and assumptions about CO</span><sub>2</sub><span>&nbsp;fertilization. Larger fire emissions occur with warmer climates or if CO</span><sub>2</sub><span>&nbsp;fertilization is assumed to occur. Despite the increases in fire emissions, our simulations indicate that boreal North America will be a carbon sink over the 21st century if CO</span><sub>2</sub><span>&nbsp;fertilization is assumed to occur in the future. In contrast, simulations excluding CO</span><sub>2</sub><span>&nbsp;fertilization over the same period indicate that the region will change to a carbon source to the atmosphere, with the source being 2.1 times greater under the warmer A2 scenario than the B2 scenario. To improve estimates of wildfire on terrestrial carbon dynamics in boreal North America, future studies should incorporate the role of dynamic vegetation to represent more accurately post‐fire successional processes, incorporate fire severity parameters that change in time and space, account for human influences through increased fire suppression, and integrate the role of other disturbances and their interactions with future fire regime.</span></div>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2486.2009.01877.x","usgsCitation":"Balshi, M.S., McGuire, A., Duffy, P., Flannigan, M., Kicklighter, D., and Melillo, J., 2009, Vulnerability of carbon storage in North American boreal forests to wildfires during the 21st century: Global Change Biology, v. 15, no. 6, p. 1491-1510, https://doi.org/10.1111/j.1365-2486.2009.01877.x.","productDescription":"20 p.","startPage":"1491","endPage":"1510","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-009717","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":306866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Greenland, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.32421875,\n              43.83452678223682\n            ],\n            [\n              -63.10546874999999,\n              43.32517767999296\n            ],\n            [\n              -51.328125,\n              47.635783590864854\n            ],\n            [\n              -18.984375,\n              72.18180355624855\n            ],\n            [\n              -10.37109375,\n              81.62135170283739\n            ],\n            [\n              -30.05859375,\n              83.81102365639774\n            ],\n            [\n              -54.31640625,\n              83.06877413473718\n            ],\n            [\n              -77.6953125,\n              83.3391531415795\n            ],\n            [\n              -132.5390625,\n              74.68325030051861\n            ],\n            [\n              -136.0546875,\n              71.46912418989677\n            ],\n            [\n              -150.46875,\n              71.46912418989677\n            ],\n            [\n              -165.76171875,\n              71.30079291637452\n            ],\n            [\n              -171.73828125,\n              63.470144746565424\n            ],\n            [\n              -169.62890625,\n              52.5897007687178\n            ],\n            [\n              -156.796875,\n              54.67383096593114\n            ],\n            [\n              -147.12890625,\n              58.99531118795094\n            ],\n            [\n              -137.98828125,\n              56.559482483762245\n            ],\n            [\n              -131.484375,\n              51.508742458803326\n            ],\n            [\n              -127.265625,\n              46.92025531537451\n            ],\n            [\n              -67.32421875,\n              43.83452678223682\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2009-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Balshi, M. S.","contributorId":9469,"corporation":false,"usgs":false,"family":"Balshi","given":"M.","email":"","middleInitial":"S.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":568428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Anthony ffadm@usgs.gov","contributorId":146428,"corporation":false,"usgs":true,"family":"McGuire","given":"Anthony","email":"ffadm@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":567836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duffy, P.","contributorId":40435,"corporation":false,"usgs":false,"family":"Duffy","given":"P.","affiliations":[],"preferred":false,"id":568429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flannigan, M.","contributorId":62391,"corporation":false,"usgs":false,"family":"Flannigan","given":"M.","affiliations":[{"id":13540,"text":"Canadian Forest Service","active":true,"usgs":false}],"preferred":false,"id":568430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kicklighter, D. W.","contributorId":31537,"corporation":false,"usgs":false,"family":"Kicklighter","given":"D. W.","affiliations":[{"id":13627,"text":"Woods Hole Oceanographic Institution, Woods Hole, MA","active":true,"usgs":false}],"preferred":false,"id":568431,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Melillo, J.","contributorId":33081,"corporation":false,"usgs":false,"family":"Melillo","given":"J.","affiliations":[{"id":13206,"text":"Sea Education Association, Woods Hole, Massachusetts","active":true,"usgs":false}],"preferred":false,"id":568432,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189915,"text":"70189915 - 2009 - Organic compounds used in animal husbandry: Chapter 13","interactions":[],"lastModifiedDate":"2017-08-01T10:37:42","indexId":"70189915","displayToPublicDate":"2009-05-04T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"title":"Organic compounds used in animal husbandry: Chapter 13","docAbstract":"Although in general, the same drugs are used by humans as for animal husbandry, some compounds are unique to CAFOs. In raising and fattening steers, anabolic steroids are widely used in the US. In the cattle industry, large use is made of the acaricides, avermectins, and the cypermethrins as well as juvenile growth hormone inhibitor for fly and tick control that could affect soil fauna in very small quantities as they reach the environment without any modification. In poultry, the organic arsenides have been widely used for decades to control coccidiosis and increase growth. The environmental fate of the arsenic excreted in the poultry feces is therefore been an area of concern.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hormones and pharmaceuticals generated by concentrated animal feeding operations: transport in water and soil","language":"English","publisher":"Springer","doi":"10.1007/978-0-387-92834-0_13","usgsCitation":"Wershaw, R.L., and Shore, L.S., 2009, Organic compounds used in animal husbandry: Chapter 13, chap. <i>of</i> Hormones and pharmaceuticals generated by concentrated animal feeding operations: transport in water and soil, v. 1, p. 115-123, https://doi.org/10.1007/978-0-387-92834-0_13.","productDescription":"9 p.","startPage":"115","endPage":"123","ipdsId":"IP-009869","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59819318e4b0e2f5d463b7b9","contributors":{"editors":[{"text":"Pruden, Amy","contributorId":103398,"corporation":false,"usgs":true,"family":"Pruden","given":"Amy","email":"","affiliations":[],"preferred":false,"id":707013,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Shore, Laurence S.","contributorId":195327,"corporation":false,"usgs":false,"family":"Shore","given":"Laurence","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":707014,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Wershaw, Robert L.","contributorId":195326,"corporation":false,"usgs":false,"family":"Wershaw","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":706762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shore, Laurence S.","contributorId":195327,"corporation":false,"usgs":false,"family":"Shore","given":"Laurence","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":706763,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":97471,"text":"tm6A29 - 2009 - ModelMuse - A Graphical User Interface for MODFLOW-2005 and PHAST","interactions":[],"lastModifiedDate":"2021-11-09T15:25:31.411388","indexId":"tm6A29","displayToPublicDate":"2009-05-02T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A29","title":"ModelMuse - A Graphical User Interface for MODFLOW-2005 and PHAST","docAbstract":"ModelMuse is a graphical user interface (GUI) for the U.S. Geological Survey (USGS) models MODFLOW-2005 and PHAST. This software package provides a GUI for creating the flow and transport input file for PHAST and the input files for MODFLOW-2005. In ModelMuse, the spatial data for the model is independent of the grid, and the temporal data is independent of the stress periods. Being able to input these data independently allows the user to redefine the spatial and temporal discretization at will. This report describes the basic concepts required to work with ModelMuse. These basic concepts include the model grid, data sets, formulas, objects, the method used to assign values to data sets, and model features. \r\n\r\nThe ModelMuse main window has a top, front, and side view of the model that can be used for editing the model, and a 3-D view of the model that can be used to display properties of the model. ModelMuse has tools to generate and edit the model grid. It also has a variety of interpolation methods and geographic functions that can be used to help define the spatial variability of the model. ModelMuse can be used to execute both MODFLOW-2005 and PHAST and can also display the results of MODFLOW-2005 models. An example of using ModelMuse with MODFLOW-2005 is included in this report. Several additional examples are described in the help system for ModelMuse, which can be accessed from the Help menu.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Chapter 29 of Section A, Ground Water, Book 6, Modeling Techniques","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/tm6A29","usgsCitation":"Winston, R.B., 2009, ModelMuse - A Graphical User Interface for MODFLOW-2005 and PHAST: U.S. Geological Survey Techniques and Methods 6-A29, vii, 52 p., https://doi.org/10.3133/tm6A29.","productDescription":"vii, 52 p.","onlineOnly":"Y","ipdsId":"IP-028230","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":124847,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_6_a29.gif"},{"id":12615,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm6A29/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a28e4b07f02db61104e","contributors":{"authors":[{"text":"Winston, Richard B. 0000-0002-6287-8834 rbwinst@usgs.gov","orcid":"https://orcid.org/0000-0002-6287-8834","contributorId":3567,"corporation":false,"usgs":true,"family":"Winston","given":"Richard","email":"rbwinst@usgs.gov","middleInitial":"B.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":302234,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97477,"text":"ofr20081348 - 2009 - Benthic foraminiferal census data from Louisiana continental shelf cores, Gulf of Mexico","interactions":[],"lastModifiedDate":"2023-12-06T15:46:10.840332","indexId":"ofr20081348","displayToPublicDate":"2009-05-02T00:00:00","publicationYear":"2009","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":"2008-1348","title":"Benthic foraminiferal census data from Louisiana continental shelf cores, Gulf of Mexico","docAbstract":"<p>An area of oxygen-depleted bottom- and subsurface-water (hypoxia = dissolved oxygen &lt; 2 mg/L-1) occurs seasonally on the Louisiana Shelf near the Mississippi River. The area of hypoxia, also known as the “dead zone,” forms when spring and early summer freshwater flow from the Mississippi River supplies a large amount of nutrients to the shelf while creating a freshwater lens, or cap, above the shelf water. The excess nutrients cause phytoplankton blooms in the shallow shelf water. After the bloom ceases, the organic material sinks in the water column and uses up oxygen during decomposition. Thus, the subsurface waters become oxygen depleted. The seasonal dead zone exists until a reduction in freshwater flow, or overturning by storms, allows mixing of the water column to restore normal oxygen conditions (Rabalais and others, 1994, 1996; Rabalais, 2002).</p><p>Since systematic measurement of the extent of the dead zone began in 1985, the overall pattern indicates that the area of the dead zone is increasing (Rabalais and Turner, 2001; Turner and others, 2005). Several studies have concluded that the expansion of the Louisiana Shelf dead zone is related to increased nutrients (primarily nitrogen, but possibly also phosphorous) in the Mississippi River drainage basin and is responsible for the degradation of Gulf of Mexico marine habitats (Goolsby and others, 2001). This paper presents the benthic foraminiferal data from 10 sediment cores collected from the Continental Shelf of Louisiana (table 1), obtained as part of an initiative to investigate the geographic and temporal extent of hypoxia prior to 1985 in the Gulf of Mexico.</p><p>Benthic foraminifers provide a method to track the development of hypoxia prior to 1985 (Blackwelder and others, 1996; Sen Gupta and others, 1996). Previous work (Osterman, 2003) has shown statistically that the relative occurrence of three low-oxygen-tolerant species represents the modern seasonal Louisiana hypoxia zone. The cumulative percentage of these three species (% Pseudononion atlanticum + % Epistominella vitrea, + % Buliminella morgani = PEB index of hypoxia) provides a way to investigate fluctuation in paleohypoxia. Interpretation of some of these cores is provided in Osterman and others (2005), Osterman and others (2008a,b), and Swarzenski and others (2008). Our hypothesis is that the increased relative abundance of PEB species in dated sediment cores accurately tracks past seasonal low-oxygen conditions on the Louisiana Shelf.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081348","usgsCitation":"Osterman, L.E., Kelly, W.S., and Ricardo, J.P., 2009, Benthic foraminiferal census data from Louisiana continental shelf cores, Gulf of Mexico: U.S. Geological Survey Open-File Report 2008-1348, iv, 16 p., https://doi.org/10.3133/ofr20081348.","productDescription":"iv, 16 p.","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":12622,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1348/","linkFileType":{"id":5,"text":"html"}},{"id":198111,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Gulf of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94,28 ], [ -94,30 ], [ -89,30 ], [ -89,28 ], [ -94,28 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62b5f8","contributors":{"authors":[{"text":"Osterman, Lisa E. osterman@usgs.gov","contributorId":3058,"corporation":false,"usgs":true,"family":"Osterman","given":"Lisa","email":"osterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":302247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Wendy S.","contributorId":22465,"corporation":false,"usgs":true,"family":"Kelly","given":"Wendy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":302248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ricardo, John P.","contributorId":73307,"corporation":false,"usgs":true,"family":"Ricardo","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":302249,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97476,"text":"sir20095075 - 2009 - Streamflow Simulations and Percolation Estimates Using the Soil and Water Assessment Tool for Selected Basins in North-Central Nebraska, 1940-2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"sir20095075","displayToPublicDate":"2009-05-02T00:00:00","publicationYear":"2009","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":"2009-5075","title":"Streamflow Simulations and Percolation Estimates Using the Soil and Water Assessment Tool for Selected Basins in North-Central Nebraska, 1940-2005","docAbstract":"The U.S. Geological Survey, in cooperation with the Upper Elkhorn, Lower Elkhorn, Upper Loup, Lower Loup, Middle Niobrara, Lower Niobrara, Lewis and Clark, and Lower Platte North Natural Resources Districts, used the Soil and Water Assessment Tool to simulate streamflow and estimate percolation in north-central Nebraska to aid development of long-term strategies for management of hydrologically connected ground and surface water. Although groundwater models adequately simulate subsurface hydrologic processes, they often are not designed to simulate the hydrologically complex processes occurring at or near the land surface. The use of watershed models such as the Soil and Water Assessment Tool, which are designed specifically to simulate surface and near-subsurface processes, can provide helpful insight into the effects of surface-water hydrology on the groundwater system. The Soil and Water Assessment Tool was calibrated for five stream basins in the Elkhorn-Loup Groundwater Model study area in north-central Nebraska to obtain spatially variable estimates of percolation.\r\n\r\nSix watershed models were calibrated to recorded streamflow in each subbasin by modifying the adjustment parameters. The calibrated parameter sets were then used to simulate a validation period; the validation period was half of the total streamflow period of record with a minimum requirement of 10 years. If the statistical and water-balance results for the validation period were similar to those for the calibration period, a model was considered satisfactory. Statistical measures of each watershed model's performance were variable. These objective measures included the Nash-Sutcliffe measure of efficiency, the ratio of the root-mean-square error to the standard deviation of the measured data, and an estimate of bias. The model met performance criteria for the bias statistic, but failed to meet statistical adequacy criteria for the other two performance measures when evaluated at a monthly time step. A primary cause of the poor model validation results was the inability of the model to reproduce the sustained base flow and streamflow response to precipitation that was observed in the Sand Hills region.\r\n\r\nThe watershed models also were evaluated based on how well they conformed to the annual mass balance (precipitation equals the sum of evapotranspiration, streamflow/runoff, and deep percolation). The model was able to adequately simulate annual values of evapotranspiration, runoff, and precipitation in comparison to reported values, which indicates the model may provide reasonable estimates of annual percolation. Mean annual percolation estimated by the model as basin averages varied within the study area from a maximum of 12.9 inches in the Loup River Basin to a minimum of 1.5 inches in the Shell Creek Basin. Percolation also varied within the studied basins; basin headwaters tended to have greater percolation rates than downstream areas. This variance in percolation rates was mainly was because of the predominance of sandy, highly permeable soils in the upstream areas of the modeled basins.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095075","collaboration":"Prepared in cooperation with the Upper Elkhorn, Lower Elkhorn, Upper Loup, Lower Loup, Middle Niobrara, Lower Niobrara, Lewis and Clark, and Lower Platte North Natural Resources Districts","usgsCitation":"Strauch, K.R., and Linard, J.I., 2009, Streamflow Simulations and Percolation Estimates Using the Soil and Water Assessment Tool for Selected Basins in North-Central Nebraska, 1940-2005: U.S. Geological Survey Scientific Investigations Report 2009-5075, iv, 20 p., https://doi.org/10.3133/sir20095075.","productDescription":"iv, 20 p.","temporalStart":"1940-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":124575,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5075.jpg"},{"id":12621,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5075/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105,39.5 ], [ -105,43.25 ], [ -94.75,43.25 ], [ -94.75,39.5 ], [ -105,39.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b27e4b07f02db6b0682","contributors":{"authors":[{"text":"Strauch, Kellan R. 0000-0002-7218-2099 kstrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":1006,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan","email":"kstrauch@usgs.gov","middleInitial":"R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linard, Joshua I. jilinard@usgs.gov","contributorId":1465,"corporation":false,"usgs":true,"family":"Linard","given":"Joshua","email":"jilinard@usgs.gov","middleInitial":"I.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302246,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97473,"text":"ds433 - 2009 - Selected Geochemical Data for Modeling Near-Surface Processes in Mineral Systems","interactions":[],"lastModifiedDate":"2012-02-10T00:11:54","indexId":"ds433","displayToPublicDate":"2009-05-02T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"433","title":"Selected Geochemical Data for Modeling Near-Surface Processes in Mineral Systems","docAbstract":"The database herein was initiated, designed, and populated to collect and integrate geochemical, geologic, and mineral deposit data in an organized manner to facilitate geoenvironmental mineral deposit modeling. The Microsoft Access database contains data on a variety of mineral deposit types that have variable environmental effects when exposed at the ground surface by mining or natural processes. The data tables describe quantitative and qualitative geochemical analyses determined by 134 analytical laboratory and field methods for over 11,000 heavy-mineral concentrate, rock, sediment, soil, vegetation, and water samples. The database also provides geographic information on geology, climate, ecoregion, and site contamination levels for over 3,000 field sites in North America.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds433","usgsCitation":"Giles, S.A., Granitto, M., and Eppinger, R.G., 2009, Selected Geochemical Data for Modeling Near-Surface Processes in Mineral Systems: U.S. Geological Survey Data Series 433, Available online and on CD-ROM, https://doi.org/10.3133/ds433.","productDescription":"Available online and on CD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":12617,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/433/","linkFileType":{"id":5,"text":"html"}},{"id":198110,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -175,23 ], [ -175,67 ], [ -65,67 ], [ -65,23 ], [ -175,23 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e5bec","contributors":{"authors":[{"text":"Giles, Stuart A. 0000-0002-8696-5078 sgiles@usgs.gov","orcid":"https://orcid.org/0000-0002-8696-5078","contributorId":1233,"corporation":false,"usgs":true,"family":"Giles","given":"Stuart","email":"sgiles@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":302241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":302240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eppinger, Robert G. eppinger@usgs.gov","contributorId":849,"corporation":false,"usgs":true,"family":"Eppinger","given":"Robert","email":"eppinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":302239,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70230336,"text":"70230336 - 2009 - Balancing aquatic habitat fragmentation and control of invasive species: Enhancing selective fish passage at sea lamprey control barriers","interactions":[],"lastModifiedDate":"2022-04-07T14:19:02.373637","indexId":"70230336","displayToPublicDate":"2009-05-01T09:01:12","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Balancing aquatic habitat fragmentation and control of invasive species: Enhancing selective fish passage at sea lamprey control barriers","docAbstract":"<p><span>Barriers to prevent spawning migrations of sea lampreys&nbsp;</span><i>Petromyzon marinus</i><span>&nbsp;remain an important component of an integrated sea lamprey management program in the Laurentian Great Lakes. Concerns about effects on nontarget fishes have led to the construction of specially designed vertical-slot trap-and-sort fishways to mitigate potential barrier effects. To improve passage at these fishways, we used passive integrated transponder technology to assess the performance of two fishways located on low-head sea lamprey barriers. Fishways on the Big Carp River (which flows into Lake Superior) and Cobourg Brook (which flows into Lake Ontario) were assessed for attraction efficiency, trap attraction and retention, and passage efficiency. Based on the results of these assessments, fishways were modified by increasing the trap volume and altering the funnel characteristics to reduce escapement from the trap and then reassessed. Attraction efficiency for all tagged fish was high (≥80%) at both sites in all years. Fishway modifications improved passage from 35% in 2003 to 88% and 64% in 2004 and 2005, respectively, at the Big Carp River. As expected, white suckers&nbsp;</span><i>Catostomus commersonii</i><span>, an obligate migrant, had higher attraction and passage efficiency, fewer passage attempts, and shorter migration delay than did rock bass&nbsp;</span><i>Ambloplites rupestris</i><span>, a facultative migrant. No improvements were seen at Cobourg Brook, where passage efficiency remained low (7% in 2003, 10% in 2005), probably because of the loss of attraction flow. At both fishways, individual fish averaged 3-10 attempts to pass through the fishways and had their migrations delayed 1-2 weeks. The observed improvements to the Big Carp River fishway, which resulted in high fishway attraction and passage rates for white suckers, suggest that vertical-slot fishways can help mitigate the effects of low-head barriers for some species. Our study provides a rigorous quantifiable approach to assessing fishway performance that can be employed widely and successfully to assess initial fishway design and subsequent modifications.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1577/T08-118.1","usgsCitation":"Pratt, T., O’Connor, L.M., Hallett, A.G., McLaughlin, R.L., Katopodis, C., Haynes, D.B., and Bergstedt, R.A., 2009, Balancing aquatic habitat fragmentation and control of invasive species: Enhancing selective fish passage at sea lamprey control barriers: Transactions of the American Fisheries Society, v. 138, no. 3, p. 652-665, https://doi.org/10.1577/T08-118.1.","productDescription":"14 p.","startPage":"652","endPage":"665","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":398311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Big Carp River, Cobourg Brook","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.27621459960938,\n              43.94660834456711\n            ],\n            [\n              -78.0582046508789,\n              43.94660834456711\n            ],\n            [\n              -78.0582046508789,\n              44.014052323063545\n            ],\n            [\n              -78.27621459960938,\n              44.014052323063545\n            ],\n            [\n              -78.27621459960938,\n              43.94660834456711\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.46452140808105,\n              46.5002829039397\n            ],\n            [\n              -84.44108963012695,\n              46.5002829039397\n            ],\n            [\n              -84.44108963012695,\n              46.51493317632542\n            ],\n            [\n              -84.46452140808105,\n              46.51493317632542\n            ],\n            [\n              -84.46452140808105,\n              46.5002829039397\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"138","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Pratt, Thomas C.","contributorId":24672,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas C.","affiliations":[],"preferred":false,"id":840015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Connor, L. M.","contributorId":289903,"corporation":false,"usgs":false,"family":"O’Connor","given":"L.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":840016,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hallett, A. G.","contributorId":289904,"corporation":false,"usgs":false,"family":"Hallett","given":"A.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":840017,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McLaughlin, R. L.","contributorId":75736,"corporation":false,"usgs":false,"family":"McLaughlin","given":"R.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":840018,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Katopodis, C.","contributorId":49741,"corporation":false,"usgs":true,"family":"Katopodis","given":"C.","affiliations":[],"preferred":false,"id":840019,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haynes, D. B.","contributorId":289905,"corporation":false,"usgs":false,"family":"Haynes","given":"D.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":840020,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bergstedt, Roger A. rbergstedt@usgs.gov","contributorId":4174,"corporation":false,"usgs":true,"family":"Bergstedt","given":"Roger","email":"rbergstedt@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":840021,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":97462,"text":"pp1760B - 2009 - Quaternary uplift history of Wingham Island, south-central Alaska","interactions":[],"lastModifiedDate":"2023-11-08T17:18:02.842324","indexId":"pp1760B","displayToPublicDate":"2009-04-25T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1760","chapter":"B","title":"Quaternary uplift history of Wingham Island, south-central Alaska","docAbstract":"Marine terraces cut into Pleistocene deposits on Wingham Island in the Gulf of Alaska provide new constraints on the position of sea level, ice thickness and total glacioisostatic rebound at the end of the Last Glacial Maximum. A radiocarbon age of 13.9 +- 0.15 ka on the most prominent terrace is coincident with the end of meltwater pulse 1A, possibly suggestive of a link between changes in relative sea level and terrace formation. Isostatic modeling suggests a local ice thickness of 600 to 700 m with high (~10 cm/yr) initial rates of postglacial rebound. In addition to the unique ties to meltwater pulse 1A, the timing of emergence for Wingham Island following the Last Glacial Maximum has implications for the early migration of humans into North America.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, 2007 (Professional Paper 1760)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1760B","usgsCitation":"Chapman, J.B., Haeussler, P.J., and Pavlis, T.L., 2009, Quaternary uplift history of Wingham Island, south-central Alaska (Version 1.0): U.S. Geological Survey Professional Paper 1760, iv, 13 p., https://doi.org/10.3133/pp1760B.","productDescription":"iv, 13 p.","onlineOnly":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":422454,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86617.htm","linkFileType":{"id":5,"text":"html"}},{"id":12603,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1760/b/","linkFileType":{"id":5,"text":"html"}},{"id":195895,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1760b.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Wingham Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -144.41010127576115,\n              60.01155916713401\n            ],\n            [\n              -144.40483203878634,\n              59.97981431351013\n            ],\n            [\n              -144.35536751885786,\n              59.982783862367256\n            ],\n            [\n              -144.3568730151364,\n              60.011224197411366\n            ],\n            [\n              -144.41010127576115,\n              60.01155916713401\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685c34","contributors":{"authors":[{"text":"Chapman, James B.","contributorId":16530,"corporation":false,"usgs":true,"family":"Chapman","given":"James","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":302213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":302212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pavlis, Terry L.","contributorId":52682,"corporation":false,"usgs":true,"family":"Pavlis","given":"Terry","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":302214,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97461,"text":"sir20095004 - 2009 - Hydrologic and Water-Quality Conditions During Restoration of the Wood River Wetland, Upper Klamath River Basin, Oregon, 2003-05","interactions":[],"lastModifiedDate":"2012-03-08T17:16:27","indexId":"sir20095004","displayToPublicDate":"2009-04-25T00:00:00","publicationYear":"2009","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":"2009-5004","title":"Hydrologic and Water-Quality Conditions During Restoration of the Wood River Wetland, Upper Klamath River Basin, Oregon, 2003-05","docAbstract":"Restoring previously drained wetlands is a strategy currently being used to improve water quality and decrease nutrient loading into Upper Klamath Lake, Oregon. In this 2003-05 study, ground- and surface-water quality and hydrologic conditions were characterized in the Wood River Wetland. Nitrogen and phosphorus levels, primarily as dissolved organic nitrogen and ammonium (NH4) and soluble reactive phosphorus (SRP), were high in surface waters. Dissolved organic carbon concentrations also were elevated in surface water, with median concentrations of 44 and 99 milligrams of carbon per liter (mg-C/L) in the North and South Units of the Wood River Wetland, respectively, reaching a maximum of 270 mg-C/L in the South Unit in late autumn. Artesian well water produced NH4 and SRP concentrations of about 6,000 micrograms per liter (ug/L), and concentrations of 36,500 ug-N/L NH4 and 4,110 ug-P/L SRP in one 26-28 ft deep piezometer well. Despite the high ammonium concentrations, the nitrate levels were moderate to low in wetland surface and ground waters. \r\n\r\nThe surface-water concentrations of NH4 and SRP increased in spring and summer, outpacing those for chloride (a conservative tracer), indicative of evapoconcentration. In-situ chamber experiments conducted in June and August 2005 indicated a positive flux of NH4 and SRP from the wetland sediments. Potential sources of NH4 and SRP include diffusion of nutrients from decomposed peat, decomposing aquatic vegetation, or upwelling ground water. In addition to these inputs, evapoconcentration raised surface-water solute concentrations to exceedingly high values by the end of summer. The increase was most pronounced in the South Unit, where specific conductance reached 2,500 uS/cm and median concentrations of total nitrogen and total phosphorus reached 18,000-36,500 ug-N/L and about 18,000-26,000 ug-P/L, respectively. Water-column SRP and total phosphorus levels decreased during autumn and winter following inputs of irrigation water and precipitation, which have lower nutrient concentrations. The SRP concentrations, however, decreased faster than the dilution rate alone, possibly due to precipitation of phosphorus with iron, manganese, or calcium.\r\n\r\nThe high concentrations of dissolved nitrogen and phosphorus during the growing season give rise to a rich plant community in the wetland consisting of emergent and submergent macrophytes and algae including phytoplankton and benthic and epiphytic algae that have pronounced effects on dissolved oxygen (DO) and pH. Midday readings of surface-water DO during summer often were supersaturated (as much as 310 percent saturation) with elevated pH (as much as 9.2 units), indicative of high rates of photosynthesis. \r\n\r\nMinimum DO concentrations in the shallow ground-water piezometer wells were 0.4 mg/L in the North Unit and 0.8 mg/L in the South Unit during summer, which is probably low enough to support microbial denitrification. Denitrification was confirmed during in-situ experiments conducted at the sediment-water interface, but rates were low due to low background nitrate (NO3). Nevertheless, denitrification (and plant uptake) likely contribute to low nitrate levels. Another possible cause of low nitrate levels is dissimilatory nitrate reduction to ammonia (DNRA), a microbial process that converts and decreases nitrate to ammonia. DNRA explains the excess ammonia production measured in the chambers treated with nitrate.\r\n\r\nSurface-water levels and standing surface-water volume in the Wood River Wetland reached a maximum in early spring, inundating 80-90 percent of the wetland. Surface-water levels and standing volume then declined reaching a minimum in August through November, when the South Unit was only 10 percent inundated and the North Unit was nearly dry. The shallow ground-water levels followed a trend similar to surface-water levels and indicated a strong upward gradient.\r\n\r\nA monthly water budget was developed individually for the North ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095004","collaboration":"Prepared in cooperation with the Bureau of Land Management and the U.S. Fish and Wildlife Service","usgsCitation":"Carpenter, K., Snyder, D.T., Duff, J.H., Triska, F.J., Lee, K.K., Avanzino, R.J., and Sobieszczyk, S., 2009, Hydrologic and Water-Quality Conditions During Restoration of the Wood River Wetland, Upper Klamath River Basin, Oregon, 2003-05: U.S. Geological Survey Scientific Investigations Report 2009-5004, x, 67 p., https://doi.org/10.3133/sir20095004.","productDescription":"x, 67 p.","temporalStart":"2003-10-01","temporalEnd":"2005-09-30","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":195049,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12601,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5004/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.33333333333333,42 ], [ -122.33333333333333,43.083333333333336 ], [ -121.33333333333333,43.083333333333336 ], [ -121.33333333333333,42 ], [ -122.33333333333333,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db6118a0","contributors":{"authors":[{"text":"Carpenter, Kurt D. kdcar@usgs.gov","contributorId":1372,"corporation":false,"usgs":true,"family":"Carpenter","given":"Kurt D.","email":"kdcar@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":302208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":302205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duff, John H. jhduff@usgs.gov","contributorId":961,"corporation":false,"usgs":true,"family":"Duff","given":"John","email":"jhduff@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":302207,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Triska, Frank J.","contributorId":88781,"corporation":false,"usgs":true,"family":"Triska","given":"Frank","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":302211,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Karl K.","contributorId":41050,"corporation":false,"usgs":true,"family":"Lee","given":"Karl","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":302210,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Avanzino, Ronald J.","contributorId":24355,"corporation":false,"usgs":true,"family":"Avanzino","given":"Ronald","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":302209,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302206,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":97459,"text":"ofr20091068 - 2009 - Minimum Pool and Bull Trout Prey Base Investigations at Beulah Reservoir - Final Report for 2008","interactions":[],"lastModifiedDate":"2012-02-02T00:15:06","indexId":"ofr20091068","displayToPublicDate":"2009-04-25T00:00:00","publicationYear":"2009","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":"2009-1068","title":"Minimum Pool and Bull Trout Prey Base Investigations at Beulah Reservoir - Final Report for 2008","docAbstract":"Beulah Reservoir in southeastern Oregon provides irrigation water to nearby farms and supports an adfluvial population of threatened bull trout (Salvelinus confluentus). Summer drawdowns in the reservoir could affect forage fish production and overwintering bull trout. To assess the impacts of drawdown, we sampled fish, invertebrates, and water-quality variables seasonally during 2006-08. In 2006, the summer drawdown was about 68 percent of full pool, which was less than a typical drawdown of 85 percent. We detected few changes in pelagic invertebrate densities, and catch rates, abundance, and sizes of fish when comparing values from spring to values from fall. We did note that densities of benthic insects in areas that were dewatered annually were lower than those from areas that were not dewatered annually. In 2007, the drawdown was 100 percent (to run-of-river level) and resulted in decreases in abundance of invertebrates as much as 96 percent, decreases in catch rates of fish as much as 80 percent, decreases in abundance of redside shiners (Richardsonius balteatus) and northern pikeminnow (Ptychocheilus oregonensis) as much as 93 percent, and decreased numbers of small fish in catches. In the fall 2007, we estimated the total biomass of forage fish to be 76 kilograms, or about one-quarter of total biomass of forage fish in 2006. Bioenergetics modeling suggested that ample forage for about 1,000 bull trout would exist after a moderate drawdown, but that forage remaining after a complete dewatering would not be sufficient for a population one-fifth the size. Our results indicate that drawdowns in Beulah Reservoir affect the aquatic community and perhaps the health and well-being of bull trout. The severity of effects depends on the extent of drawdown, population size of bull trout, and perhaps other factors.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091068","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Rose, B.P., and Mesa, M.G., 2009, Minimum Pool and Bull Trout Prey Base Investigations at Beulah Reservoir - Final Report for 2008: U.S. Geological Survey Open-File Report 2009-1068, vi, 55 p., https://doi.org/10.3133/ofr20091068.","productDescription":"vi, 55 p.","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":197864,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12599,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1068/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699d1f","contributors":{"authors":[{"text":"Rose, Brien P. brose@usgs.gov","contributorId":3493,"corporation":false,"usgs":true,"family":"Rose","given":"Brien","email":"brose@usgs.gov","middleInitial":"P.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":302202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mesa, Matthew G. mmesa@usgs.gov","contributorId":3423,"corporation":false,"usgs":true,"family":"Mesa","given":"Matthew","email":"mmesa@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":302201,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97456,"text":"ofr20091052 - 2009 - Investigation into the Origin and Character of Surficial Sedimentary Deposits at the Midshore Regional Solid Waste Facility near Easton, Maryland","interactions":[],"lastModifiedDate":"2012-02-02T00:14:31","indexId":"ofr20091052","displayToPublicDate":"2009-04-25T00:00:00","publicationYear":"2009","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":"2009-1052","title":"Investigation into the Origin and Character of Surficial Sedimentary Deposits at the Midshore Regional Solid Waste Facility near Easton, Maryland","docAbstract":"A temporary exposure at the Midshore Regional Solid Waste Facility near Easton, MD, provided an opportunity to document the characteristics of the complex assemblage of surficial facies in that area. This unusually large cross section allowed interpretation of the changing processes that shaped the landscape in response to climate change through the late Pleistocene. Eight stratigraphic units were recognized: (1) gray, fossiliferous, muddy silt of the marine Miocene Choptank Formation; (2) coarse, crossbedded conglomerate of the late Miocene to Pliocene fluvial Pensauken Formation; (3) bioturbated muddy conglomerate interpreted as deposits of small colluvial fans; (4) pebbly, quartzose sand overlying a planar erosional surface reflecting a marine transgression; (5) irregular pods and lenses of sand and gravel deformed into bowl-shaped folds and faulted, which are interpreted as wind deposits over a semipermanent snow cover (niveo-aeolian deposits); (6) crossbedded sand and conglomerate with abundant mud partings indicating tidal influences on sinuous stream channels; (7) heavily bioturbated silt and sand with abundant root casts and flattened vesicles interpreted as aeolian loess deposits in marshy fens; and (8) pebbly sand and mud with scattered boulders and cobbles that reflect modern infill of the excavation by the operators. Soils formed on units 3, 4, and 7. Superimposed on units 4, 5, and 7 is evidence of deep freezing and permafrost development and subsequent thermokarst development after thawing, which includes large, complexly filled wedge-shaped cracks, deformed bedding and faults, fluid-injection structures, and spherical blobs of sand and mud. Each of the stratigraphic units has irregular distributions and lateral changes. The results of this study provide a unique insight into the geometry of surficial deposits that will help facilitate mapping of units, interpretation of cored intervals, and understanding of ground-penetrating radar profiles. The study also documents the widespread effects of permafrost during the last glacial episode well south of the maximum advance of ice sheets.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091052","usgsCitation":"Smoot, J.P., Newell, W., and DeJong, B.D., 2009, Investigation into the Origin and Character of Surficial Sedimentary Deposits at the Midshore Regional Solid Waste Facility near Easton, Maryland: U.S. Geological Survey Open-File Report 2009-1052, v, 64 p., https://doi.org/10.3133/ofr20091052.","productDescription":"v, 64 p.","onlineOnly":"Y","costCenters":[{"id":240,"text":"Eastern Earth Surface Processes Team","active":false,"usgs":true}],"links":[{"id":125457,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1052.jpg"},{"id":12596,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1052/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aaae4b07f02db668d4a","contributors":{"authors":[{"text":"Smoot, Joseph P. 0000-0002-5064-8070 jpsmoot@usgs.gov","orcid":"https://orcid.org/0000-0002-5064-8070","contributorId":2742,"corporation":false,"usgs":true,"family":"Smoot","given":"Joseph","email":"jpsmoot@usgs.gov","middleInitial":"P.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":302193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newell, Wayne L.","contributorId":48538,"corporation":false,"usgs":true,"family":"Newell","given":"Wayne L.","affiliations":[],"preferred":false,"id":302194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeJong, Benjamin D. bdejong@usgs.gov","contributorId":2506,"corporation":false,"usgs":true,"family":"DeJong","given":"Benjamin","email":"bdejong@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":302192,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97450,"text":"ds401 - 2009 - EAARL topography - George Washington Birthplace National Monument 2008","interactions":[],"lastModifiedDate":"2022-08-02T20:28:17.004286","indexId":"ds401","displayToPublicDate":"2009-04-25T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"401","title":"EAARL topography - George Washington Birthplace National Monument 2008","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived bare earth (BE) and first surface (FS) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of the George Washington Birthplace National Monument in Virginia, acquired on March 26, 2008. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL) was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys. \r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is routinely used to create maps that represent submerged or first surface topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds401","usgsCitation":"Brock, J., Nayegandhi, A., Wright, C.W., Stevens, S., and Yates, X., 2009, EAARL topography - George Washington Birthplace National Monument 2008: U.S. Geological Survey Data Series 401, HTML Document, DVD-ROM, https://doi.org/10.3133/ds401.","productDescription":"HTML Document, DVD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2008-03-26","temporalEnd":"2008-03-26","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":197815,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":404712,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86524.htm","linkFileType":{"id":5,"text":"html"}},{"id":12589,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/401/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.93553924560547,\n              38.18071964090608\n            ],\n            [\n              -76.91167831420898,\n              38.18071964090608\n            ],\n            [\n              -76.91167831420898,\n              38.202171463410224\n            ],\n            [\n              -76.93553924560547,\n              38.202171463410224\n            ],\n            [\n              -76.93553924560547,\n              38.18071964090608\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c4a3","contributors":{"authors":[{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":302170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":302171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":302172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stevens, Sara","contributorId":104015,"corporation":false,"usgs":true,"family":"Stevens","given":"Sara","affiliations":[],"preferred":false,"id":302174,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":302173,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":97449,"text":"ds400 - 2009 - EAARL coastal topography — Northern Gulf of Mexico, 2007: Bare earth","interactions":[],"lastModifiedDate":"2022-07-11T20:48:10.309219","indexId":"ds400","displayToPublicDate":"2009-04-25T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"400","title":"EAARL coastal topography — Northern Gulf of Mexico, 2007: Bare earth","docAbstract":"<p>These remotely sensed, geographically referenced elevation measurements of<span>&nbsp;</span><abbr title=\"Light Detection and Ranging\">Lidar</abbr>-derived bare earth (<abbr title=\"Bare Earth\">BE</abbr>) topography were produced as a collaborative effort between the<span>&nbsp;</span><abbr title=\"United States\">U.S.</abbr><span>&nbsp;</span>Geological Survey (<abbr title=\"U.S. Geological Survey\">USGS</abbr>), Florida Integrated Science Center (<abbr title=\"Florida Integrated Science Center\">FISC</abbr>),<span>&nbsp;</span><abbr title=\"Saint\">St.</abbr><span>&nbsp;</span>Petersburg,<span>&nbsp;</span><abbr title=\"Florida\">FL</abbr>; the National Park Service (<abbr title=\"National Park Service\">NPS</abbr>), Gulf Coast Network, Lafayette,<span>&nbsp;</span><abbr title=\"Louisiana\">LA</abbr>; and the National Aeronautics and Space Administration (<abbr title=\"National Aeronautics and Space Administration\">NASA</abbr>), Wallops Flight Facility,<span>&nbsp;</span><abbr title=\"Virginia\">VA</abbr>.</p><p>The purpose of this project is to provide highly detailed and accurate datasets of select barrier islands and peninsular regions of Louisiana, Mississippi, Alabama, and Florida, acquired on June 27-30, 2007. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the<span>&nbsp;</span><abbr title=\"National Aeronautics and Space Administration\">NASA</abbr><span>&nbsp;</span>Wallops Flight Facility, and known as the Experimental Advanced Airborne Research<span>&nbsp;</span><abbr title=\"Light Detection and Ranging\">Lidar</abbr><span>&nbsp;</span>(<abbr title=\"Experimental Advanced Airborne Research Lidar\">EAARL</abbr>), was used during data acquisition. The<span>&nbsp;</span><abbr title=\"Experimental Advanced Airborne Research Lidar\">EAARL</abbr><span>&nbsp;</span>system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer)<span>&nbsp;</span><abbr title=\"Light Detection and Ranging\">Lidar</abbr><span>&nbsp;</span>designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The<span>&nbsp;</span><abbr title=\"Experimental Advanced Airborne Research Lidar\">EAARL</abbr><span>&nbsp;</span>sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive<span>&nbsp;</span><abbr title=\"Light Detection and Ranging\">Lidar</abbr>, a down-looking red-green-blue (<abbr title=\"Red, Green, Blue\">RGB</abbr>) digital camera, a high-resolution multi-spectral color infrared (<abbr title=\"color infrared\">CIR</abbr>) camera, two precision dual-frequency kinematic carrier-phase<span>&nbsp;</span><abbr title=\"Global Positioning System\">GPS</abbr><span>&nbsp;</span>receivers, and an integrated miniature digital inertial measurement unit which provide for submeter georeferencing of each laser sample. The nominal<span>&nbsp;</span><abbr title=\"Experimental Advanced Airborne Research Lidar\">EAARL</abbr><span>&nbsp;</span>platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a<span>&nbsp;</span><abbr title=\"Light Detection and Ranging\">Lidar</abbr><span>&nbsp;</span>operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.</p><p>Elevation measurements were collected over the survey area using the<span>&nbsp;</span><abbr title=\"Experimental Advanced Airborne Research Lidar\">EAARL</abbr><span>&nbsp;</span>system and the resulting data were then processed using the Airborne Lidar Processing System (<abbr title=\"Airborne Lidar Processing System\">ALPS</abbr>), a custom-built processing system developed in a<span>&nbsp;</span><abbr title=\"National Aeronautics and Space Administration\">NASA</abbr>-<abbr title=\"U.S. Geological Survey\">USGS</abbr><span>&nbsp;</span>collaboration.<span>&nbsp;</span><abbr title=\"Airborne Lidar Processing System\">ALPS</abbr><span>&nbsp;</span>supports the exploration and processing of<span>&nbsp;</span><abbr title=\"Light Detection and Ranging\">Lidar</abbr><span>&nbsp;</span>data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting,<span>&nbsp;</span><abbr title=\"Light Detection and Ranging\">Lidar</abbr><span>&nbsp;</span>raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform.<span>&nbsp;</span><abbr title=\"Airborne Lidar Processing System\">ALPS</abbr><span>&nbsp;</span>is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds400","usgsCitation":"Smith, K., Nayegandhi, A., Wright, C.W., Bonisteel, J.M., and Brock, J., 2009, EAARL coastal topography — Northern Gulf of Mexico, 2007: Bare earth: U.S. Geological Survey Data Series 400, HTML Document: DVD-ROM, https://doi.org/10.3133/ds400.","productDescription":"HTML Document: DVD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2007-06-27","temporalEnd":"2007-06-30","costCenters":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"links":[{"id":197780,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":403437,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86525.htm","linkFileType":{"id":5,"text":"html"}},{"id":12588,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/400/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"northern Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.3792724609375,\n              29.57345707301757\n            ],\n            [\n              -86.98974609375,\n              29.57345707301757\n            ],\n            [\n              -86.98974609375,\n              30.557530797259172\n            ],\n            [\n              -89.3792724609375,\n              30.557530797259172\n            ],\n            [\n              -89.3792724609375,\n              29.57345707301757\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f53d","contributors":{"authors":[{"text":"Smith, Kathryn E. L.","contributorId":20860,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn E. L.","affiliations":[],"preferred":false,"id":302167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":302168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":302169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":302166,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":302165,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":97448,"text":"ds399 - 2009 - EAARL Coastal Topography - Northern Gulf of Mexico, 2007: First surface","interactions":[],"lastModifiedDate":"2022-07-08T20:34:31.078402","indexId":"ds399","displayToPublicDate":"2009-04-25T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"399","title":"EAARL Coastal Topography - Northern Gulf of Mexico, 2007: First surface","docAbstract":"These remotely sensed, geographically referenced elevation measurements of Lidar-derived first surface (FS) elevation data were produced as a collaborative effort between the U.S. Geological Survey (USGS), Florida Integrated Science Center (FISC), St. Petersburg, FL; the National Park Service (NPS), Gulf Coast Network, Lafayette, LA; and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThe project provides highly detailed and accurate datasets of select barrier islands and peninsular regions of Louisiana, Mississippi, Alabama, and Florida, acquired June 27-30, 2007. The datasets are made available for use as a management tool to research scientists and natural resource managers. An innovative airborne Lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) Lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive Lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multi-spectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit which provide for submeter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a Lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.\r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of Lidar data in an interactive or batch mode. Modules for presurvey flight line definition, flight path plotting, Lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation from a point cloud of last return elevations.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds399","usgsCitation":"Smith, K., Nayegandhi, A., Wright, C.W., Bonisteel, J.M., and Brock, J., 2009, EAARL Coastal Topography - Northern Gulf of Mexico, 2007: First surface: U.S. Geological Survey Data Series 399, HTML document: DVD-ROMs, https://doi.org/10.3133/ds399.","productDescription":"HTML document: DVD-ROMs","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2007-06-27","temporalEnd":"2007-06-30","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":197779,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":403318,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_86526.htm","linkFileType":{"id":5,"text":"html"}},{"id":12587,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/399/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama, Mississippi","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.2167,\n              29.75\n            ],\n            [\n              -87.0839,\n              29.75\n            ],\n            [\n              -87.0839,\n              30.3847\n            ],\n            [\n              -89.2167,\n              30.3847\n            ],\n            [\n              -89.2167,\n              29.75\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62f53f","contributors":{"authors":[{"text":"Smith, Kathryn E. L.","contributorId":20860,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn E. L.","affiliations":[],"preferred":false,"id":302162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":302163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":302164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":302161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":302160,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":97446,"text":"ofr20091051 - 2009 - Transient electromagnetic soundings near Great Sand Dunes National Park and Preserve, San Luis Valley, Colorado (2006 field season)","interactions":[],"lastModifiedDate":"2021-04-15T14:08:27.651497","indexId":"ofr20091051","displayToPublicDate":"2009-04-25T00:00:00","publicationYear":"2009","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":"2009-1051","displayTitle":"Transient Electromagnetic Soundings Near Great Sand Dunes National Park and Preserve, San Luis Valley, Colorado (2006 Field Season)","title":"Transient electromagnetic soundings near Great Sand Dunes National Park and Preserve, San Luis Valley, Colorado (2006 field season)","docAbstract":"Time-domain electromagnetic (TEM) soundings were made near Great Sand Dunes National Park and Preserve in the San Luis Valley of southern Colorado to obtain subsurface information of use to hydrologic modeling. Seventeen soundings were made to the east and north of the sand dunes. Using a small loop TEM system, maximum exploration depths of about 75 to 150 m were obtained. In general, layered earth interpretations of the data found that resistivity decreases with depth. Comparison of soundings with geologic logs from nearby wells found that zones logged as having increased clay content usually corresponded with a significant resistivity decrease in the TEM determined model. This result supports the use of TEM soundings to map the location of the top of the clay unit deposited at the bottom of the ancient Lake Alamosa that filled the San Luis Valley from Pliocene to middle Pleistocene time.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091051","usgsCitation":"Fitterman, D.V., and de Souza Filho, O.A., 2009, Transient electromagnetic soundings near Great Sand Dunes National Park and Preserve, San Luis Valley, Colorado (2006 field season): U.S. Geological Survey Open-File Report 2009-1051, Report: vi, 55 p.; Downloads Directory, https://doi.org/10.3133/ofr20091051.","productDescription":"Report: vi, 55 p.; Downloads Directory","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2006-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":385124,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2009/1051/downloads/","text":"Downloads Directory","linkFileType":{"id":5,"text":"html"}},{"id":385123,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2009/1051/downloads/OF09-1051.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":195501,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2009/1051/images/coverthb.gif"},{"id":12585,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1051/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","otherGeospatial":"San Luis Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.7706298828125,\n              37.22595454983972\n            ],\n            [\n              -105.545654296875,\n              37.22595454983972\n            ],\n            [\n              -105.545654296875,\n              38.55246141354153\n            ],\n            [\n              -106.7706298828125,\n              38.55246141354153\n            ],\n            [\n              -106.7706298828125,\n              37.22595454983972\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4de4b07f02db626e2c","contributors":{"authors":[{"text":"Fitterman, David V. dfitterman@usgs.gov","contributorId":1106,"corporation":false,"usgs":true,"family":"Fitterman","given":"David","email":"dfitterman@usgs.gov","middleInitial":"V.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":302156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Souza Filho, Oderson A.","contributorId":88620,"corporation":false,"usgs":true,"family":"de Souza Filho","given":"Oderson","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":302157,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97442,"text":"sir20095058 - 2009 - Hydrodynamic simulations of physical aquatic habitat availability for Pallid Sturgeon in the Lower Missouri River, at Yankton, South Dakota, Kenslers Bend, Nebraska, Little Sioux, Iowa, and Miami, Missouri, 2006-07","interactions":[],"lastModifiedDate":"2017-05-24T14:38:54","indexId":"sir20095058","displayToPublicDate":"2009-04-22T00:00:00","publicationYear":"2009","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":"2009-5058","title":"Hydrodynamic simulations of physical aquatic habitat availability for Pallid Sturgeon in the Lower Missouri River, at Yankton, South Dakota, Kenslers Bend, Nebraska, Little Sioux, Iowa, and Miami, Missouri, 2006-07","docAbstract":"<p>The objective of this study was to assess the sensitivity of habitat availability in the Lower Missouri River to discharge variation, with emphasis on habitats that might support spawning of the endangered pallid sturgeon. We constructed computational hydrodynamic models for four reaches that were selected because of evidence that sturgeon have spawned in them. The reaches are located at Miami, Missouri (river mile 259.6–263.5), Little Sioux, Iowa (river mile 669.6–673.5), Kenslers Bend, Nebraska (river mile 743.9–748.1), and Yankton, South Dakota reach (river mile 804.8–808.4). The models were calibrated for a range of measured flow conditions, and run for a range of discharges that might be affected by flow modifications from Gavins Point Dam. Model performance was assessed by comparing modeled and measured water velocities.</p><p>A selection of derived habitat units was assessed for sensitivity to hydraulic input parameters (drag coefficient and lateral eddy viscosity). Overall, model results were minimally sensitive to varying eddy viscosity; varying lateral eddy viscosity by 20 percent resulted in maximum change in habitat units of 5.4 percent. Shallow-water habitat units were most sensitive to variation in drag coefficient with 42 percent change in unit area resulting from 20 percent change in the parameter value; however, no habitat unit value changed more than 10 percent for a 10 percent variation in drag coefficient. Sensitivity analysis provides guidance for selecting habitat metrics that maximize information content while minimizing model uncertainties.</p><p>To assess model sensitivities arising from topographic variation from sediment transport on an annual time scale, we constructed separate models from two complete independent surveys in 2006 and 2007. The net topographic change was minimal at each site; the ratio of net topographic change to water volume in the reaches at 95 percent exceedance flow was less than 5 percent, indicating that on a reach-average basis, annual topographic change contributed little to habitat area variation. Net erosion occurred at Yankton (the upstream reach) and because erosion was distributed uniformly, there was little affect on many habitat metrics. Topographic change was spatially nonuniform at Little Sioux and Kenslers Bend reaches. Shallow water habitat units and some reach-scale patch statistics (edge density, patch density, and Simpson’s Diversity Index) were affected by these changes. Erosion dominated at the downstream reach but habitat metrics did not vary substantially from 2006 to 2007.</p><p>Among habitat metrics that were explored, zones of convergent flow were identified as areas that most closely correspond to spawning habitats of other sturgeon species, as identified in the scientific literature, and that are consistent with sparse data on pallid sturgeon spawning locations in the Lower Missouri River. Areas of convergent zone habitat varied little with discharges that would be associated with spring pulsed flows, and relations with discharge changed negligibly between 2006 and 2007.</p><p>Other habitat measures show how physical habitat varies with discharge and among the four reaches. Wake habitats defined by velocity gradients seem to correspond with migration pathways of adult pallid sturgeon. Habitats with low Froude-number correspond to low energy areas that may accumulate passively transporting particles, organic matter, and larval fish. Among the modeled reaches, Yankton had substantially longer water residence time for equivalent flow exceedances than the other three modeled reaches. Longer residence times result from greater flow resistance in the relatively wide, shallow channel and may be associated with longer residence times of passively transported particulate materials.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095058","collaboration":"Prepared for the Missouri River Recovery-Integrated Science Program U.S. Army Corps of Engineers, Yankton, South Dakota","usgsCitation":"Jacobson, R.B., Johnson, H.E., and Dietsch, B.J., 2009, Hydrodynamic simulations of physical aquatic habitat availability for Pallid Sturgeon in the Lower Missouri River, at Yankton, South Dakota, Kenslers Bend, Nebraska, Little Sioux, Iowa, and Miami, Missouri, 2006-07: U.S. Geological Survey Scientific Investigations Report 2009-5058, vi, 68 p., https://doi.org/10.3133/sir20095058.","productDescription":"vi, 68 p.","temporalStart":"2006-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":341671,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2009/5058/pdf/sir2009-5058.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":12579,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5058/","linkFileType":{"id":5,"text":"html"}},{"id":195784,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100,38 ], [ -100,44 ], [ -88,44 ], [ -88,38 ], [ -100,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db628e80","contributors":{"authors":[{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":302136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Harold E. III","contributorId":47470,"corporation":false,"usgs":true,"family":"Johnson","given":"Harold","suffix":"III","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":302138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietsch, Benjamin J. 0000-0003-1090-409X bdietsch@usgs.gov","orcid":"https://orcid.org/0000-0003-1090-409X","contributorId":1346,"corporation":false,"usgs":true,"family":"Dietsch","given":"Benjamin","email":"bdietsch@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302137,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97439,"text":"sir20085239 - 2009 - Geospatial data to support analysis of water-quality conditions in basin-fill aquifers in the southwestern United States","interactions":[],"lastModifiedDate":"2019-12-30T14:08:33","indexId":"sir20085239","displayToPublicDate":"2009-04-22T00:00:00","publicationYear":"2009","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":"2008-5239","title":"Geospatial data to support analysis of water-quality conditions in basin-fill aquifers in the southwestern United States","docAbstract":"The Southwest Principal Aquifers study area consists of most of California and Nevada and parts of Utah, Arizona, New Mexico, and Colorado; it is about 409,000 square miles. The Basin-fill aquifers extend through about 201,000 square miles of the study area and are the primary source of water for cities and agricultural communities in basins in the arid and semiarid southwestern United States (Southwest). The demand on limited ground-water resources in areas in the southwestern United States has increased significantly. This increased demand underscores the importance of understanding factors that affect the water quality in basin-fill aquifers in the region, which are being studied through the U.S. Geological Survey's National Water-Quality Assessment (NAWQA) program. As a part of this study, spatial datasets of natural and anthropogenic factors that may affect ground-water quality of the basin-fill aquifers in the southwestern United States were developed. These data include physical characteristics of the region, such as geology, elevation, and precipitation, as well as anthropogenic factors, including population, land use, and water use. Spatial statistics for the alluvial basins in the Southwest have been calculated using the datasets. This information provides a foundation for the development of conceptual and statistical models that relate natural and anthropogenic factors to ground-water quality across the Southwest.\r\n\r\nA geographic information system (GIS) was used to determine and illustrate the spatial distribution of these basin-fill variables across the region. One hundred-meter resolution raster data layers that represent the spatial characteristics of the basins' boundaries, drainage areas, population densities, land use, and water use were developed for the entire Southwest.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085239","usgsCitation":"McKinney, T., and Anning, D.W., 2009, Geospatial data to support analysis of water-quality conditions in basin-fill aquifers in the southwestern United States: U.S. Geological Survey Scientific Investigations Report 2008-5239, Report: iv, 16 p.; HTML, https://doi.org/10.3133/sir20085239.","productDescription":"Report: iv, 16 p.; HTML","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":12576,"rank":100,"type":{"id":15,"text":"Index 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,{"id":97437,"text":"sir20095018 - 2009 - USGS River Ecosystem Modeling: Where Are We, How Did We Get Here, and Where Are We Going?","interactions":[],"lastModifiedDate":"2012-02-02T00:14:31","indexId":"sir20095018","displayToPublicDate":"2009-04-22T00:00:00","publicationYear":"2009","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":"2009-5018","title":"USGS River Ecosystem Modeling: Where Are We, How Did We Get Here, and Where Are We Going?","docAbstract":"This report developed as an outcome of the USGS River Ecosystem Modeling Work Group, convened on February 11, 2008 as a preconference session to the second USGS Modeling Conference in Orange Beach, Ala. Work Group participants gained an understanding of the types of models currently being applied to river ecosystem studies within the USGS, learned how model outputs are being used by a Federal land management agency, and developed recommendations for advancing the state of the art in river ecosystem modeling within the USGS. During a break-out session, participants restated many of the recommendations developed at the first USGS Modeling Conference in 2006 and in previous USGS needs assessments. All Work Group recommendations require organization and coordination across USGS disciplines and regions, and include (1) enhancing communications, (2) increasing efficiency through better use of current human and technologic resources, and (3) providing a national infrastructure for river ecosystem modeling resources, making it easier to integrate modeling efforts. By implementing these recommendations, the USGS will benefit from enhanced multi-disciplinary, integrated models for river ecosystems that provide valuable risk assessment and decision support tools for adaptive management of natural and managed riverine ecosystems. These tools generate key information that resource managers need and can use in making decisions about river ecosystem resources.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095018","usgsCitation":"Hanson, L., Schrock, R., Waddle, T., Duda, J., and Lellis, B., 2009, USGS River Ecosystem Modeling: Where Are We, How Did We Get Here, and Where Are We Going?: U.S. Geological Survey Scientific Investigations Report 2009-5018, iv, 81 p., https://doi.org/10.3133/sir20095018.","productDescription":"iv, 81 p.","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":124721,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5018.jpg"},{"id":12574,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5018/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae3e4b07f02db689112","contributors":{"authors":[{"text":"Hanson, Leanne hansonl@usgs.gov","contributorId":3231,"corporation":false,"usgs":true,"family":"Hanson","given":"Leanne","email":"hansonl@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":302118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schrock, Robin","contributorId":17328,"corporation":false,"usgs":true,"family":"Schrock","given":"Robin","email":"","affiliations":[],"preferred":false,"id":302120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waddle, Terry","contributorId":47848,"corporation":false,"usgs":true,"family":"Waddle","given":"Terry","affiliations":[],"preferred":false,"id":302121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":3323,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey J.","email":"jduda@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":302119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lellis, Bill","contributorId":104171,"corporation":false,"usgs":true,"family":"Lellis","given":"Bill","email":"","affiliations":[],"preferred":false,"id":302122,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":97436,"text":"ofr20091054 - 2009 - Nutrients, Dissolved Organic Carbon, Color, and Disinfection Byproducts in Base Flow and Stormflow in Streams of the Croton Watershed, Westchester and Putnam Counties, New York, 2000-02","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"ofr20091054","displayToPublicDate":"2009-04-22T00:00:00","publicationYear":"2009","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":"2009-1054","title":"Nutrients, Dissolved Organic Carbon, Color, and Disinfection Byproducts in Base Flow and Stormflow in Streams of the Croton Watershed, Westchester and Putnam Counties, New York, 2000-02","docAbstract":"The Croton Watershed is unique among New York City's water-supply watersheds because it has the highest percentages of suburban development (52 percent) and wetland area (6 percent). As the City moves toward filtration of this water supply, there is a need to document water-quality contributions from both human and natural sources within the watershed that can inform watershed-management decisions.\r\n\r\nStreamwater samples from 24 small (0.1 to 1.5 mi2) subbasins and three wastewater-treatment plants (2000-02) were used to document the seasonal concentrations, values, and formation potentials of selected nutrients, dissolved organic carbon (DOC), color, and disinfection byproducts (DBPs) during stormflow and base-flow conditions. The subbasins were categorized by three types of drainage efficiency and a range of land uses and housing densities.\r\n\r\nAnalyte concentrations in subbasin streams differed in response to the subbasin charateristics. Nutrient concentrations were lowest in undeveloped, forested subbasins that were well drained and increased with all types of development, which included residential, urban commercial/industrial, golf-course, and horse-farm land uses. These concentrations were further modified by subbasin drainage efficiency. DOC, in contrast, was highly dependent on drainage efficiency. Color intensity and DBP formation potentials were, in turn, associated with DOC and thus showed a similar response to drainage efficiency. Every constituent exhibited seasonal changes in concentration.\r\n\r\nNutrients. Total (unfiltered) phosphorus (TP), soluble reactive phosphorus (SRP), and nitrate were associated primarily with residential development, urban, golf-course, and horse-farm land uses. Base-flow and stormflow concentrations of the TP, SRP, and nitrate generally increased with increasing housing density. TP and SRP concentrations were nearly an order of magnitude higher in stormflow than in base flow, whereas nitrate concentrations showed little difference between these flow conditions. Organic nitrogen concentrations (calculated as the difference between concentrations of total dissolved N and of all other N species) was the dominant form of nitrogen in undeveloped and moderately to poorly drained subbasins.\r\n\r\nHigh TP concentrations in stormflows (800-1,750 ug/L) were associated with well drained and moderately drained residential subbasins with high- and medium-density housing and with the moderately drained golf-course subbasin. Areas with medium to high housing densities favor TP transport because they provide extensive impervious surfaces, storm sewers, and local relief, which together can rapidly route stormwater to streams. SRP concentrations were highest in the same types of subbasins as TP, but also in sewered residential and horse-farm subbasins. The ratio of SRP to TP was typically a smaller in stormflow than in base flow. Base-flow TP and SRP concentrations were highest during the warm-weather months (May to October). The highest nitrate concentrations (3.0-4.5 mg/L) were associated with the urban subbasin and the three well drained, high-density residential subbasins. The two moderately drained lake subbasins and the two poorly drained (colored-water wetland) subbasins had consistently low nitrate concentrations despite low and medium housing densities. Nitrate concentrations were generally highest during the winter months and lowest during the autumn leaf-fall period. Organic N concentrations were highest during the leaf-fall period.\r\n\r\nDissolved Organic Carbon. DOC concentration was consistently highest in the two poorly drained (colored-water-wetland) subbasins and lowest in the well drained subbasins. Base-flow DOC concentration increased with decreasing drainage efficiency, except in the well drained sewered subbasin with high-density housing, where slightly elevated DOC concentrations throughout the year may indicate leakage from a nearby sewer main. Seasonal changes in stormflow DOC concentrat","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091054","collaboration":"Prepared in cooperation with the State University of New York Research Foundation for the New York City Department of Environmental Protection","usgsCitation":"Heisig, P.M., 2009, Nutrients, Dissolved Organic Carbon, Color, and Disinfection Byproducts in Base Flow and Stormflow in Streams of the Croton Watershed, Westchester and Putnam Counties, New York, 2000-02: U.S. Geological Survey Open-File Report 2009-1054, xx, 107 p., https://doi.org/10.3133/ofr20091054.","productDescription":"xx, 107 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":195058,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12573,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1054/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74,41.083333333333336 ], [ -74,41.666666666666664 ], [ -73.41666666666667,41.666666666666664 ], [ -73.41666666666667,41.083333333333336 ], [ -74,41.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db6966d0","contributors":{"authors":[{"text":"Heisig, Paul M. 0000-0003-0338-4970 pmheisig@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-4970","contributorId":793,"corporation":false,"usgs":true,"family":"Heisig","given":"Paul","email":"pmheisig@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":302117,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97433,"text":"sir20095035 - 2009 - Inventory and Statistical Analysis of Sediment Data for Streams in Kentucky, 1950-2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:30","indexId":"sir20095035","displayToPublicDate":"2009-04-22T00:00:00","publicationYear":"2009","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":"2009-5035","title":"Inventory and Statistical Analysis of Sediment Data for Streams in Kentucky, 1950-2008","docAbstract":"Suspended sediment is a constituent of water that is monitored because of concerns about accelerated erosion, nonpoint contamination of water resources, and degradation of aquatic environments. Understanding the availability of monitored sediment data for streams in Kentucky is critical to planning future modeling and monitoring efforts. In order to assess the availability of sediment data for Kentucky, long-term records were obtained from the National Water Information System (NWIS) of the U.S. Geological Survey (USGS). Suspended-sediment concentration (SSC), the parameter traditionally measured and reported by the USGS, was statistically compared to turbidity and total suspended solids (TSS), two parameters that are considered surrogate data. Coincident observations of SSC with either turbidity or TSS were available for 42 sites. In combination with instantaneous streamflow, turbidity and TSS both proved to be significant indicators of SSC when data from all sites were used. Because of the perceived link between sediment and nutrient abundance in streams, sediment-parameter data at these sites were correlated to total-nitrogen and total-phosphorus concentrations. A significant relation (p-value < 0.05) was found between monitored nutrient concentrations and coincident sediment abundance, although there were no clear linear relations.\r\n\r\nThis compilation of data showed that SSC was monitored at 118 sites in Kentucky at some time between 1950 and 2008. As of March 2008, 9 sites were monitored for SSC in Kentucky (8 of which are new) down from a high of more than 60 SSC sites during the 1980s. Of these 118 SSC sites, 21 sites were also monitored for TSS; there are coincident records for both SSC and TSS at 6 sites. Forty-seven of these long-term water-quality sites were also monitored for turbidity; there are coincident records for SSC and turbidity at 42 sites, including all of those at which there are coincident data for TSS. The number of sites at which SSC and at least one other sediment parameter (TSS or turbidity) were monitored decreased from a high of 27 in 1987 to zero during the period 2001-2005.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095035","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Williamson, T., 2009, Inventory and Statistical Analysis of Sediment Data for Streams in Kentucky, 1950-2008: U.S. Geological Survey Scientific Investigations Report 2009-5035, iv, 23 p., https://doi.org/10.3133/sir20095035.","productDescription":"iv, 23 p.","additionalOnlineFiles":"Y","temporalStart":"1950-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":197772,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12570,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5035/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.8,36.083333333333336 ], [ -89.8,40.166666666666664 ], [ -81.6,40.166666666666664 ], [ -81.6,36.083333333333336 ], [ -89.8,36.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aafe4b07f02db66cf4f","contributors":{"authors":[{"text":"Williamson, Tanja N. tnwillia@usgs.gov","contributorId":452,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja N.","email":"tnwillia@usgs.gov","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":false,"id":302111,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70156084,"text":"70156084 - 2009 - Does winter region affect spring arrival time and body mass of king eiders in northern Alaska?","interactions":[],"lastModifiedDate":"2021-03-30T19:06:49.334577","indexId":"70156084","displayToPublicDate":"2009-04-15T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"title":"Does winter region affect spring arrival time and body mass of king eiders in northern Alaska?","docAbstract":"<p><span>Events during the non-breeding season may affect the body condition of migratory birds and influence performance during the following breeding season. Migratory birds nesting in the Arctic often rely on endogenous nutrients for reproductive efforts, and are thus potentially subject to such carry-over effects. We tested whether king eider (</span><i class=\"EmphasisTypeItalic\">Somateria spectabilis</i><span>) arrival time and body mass upon arrival at breeding grounds in northern Alaska were affected by their choice of a winter region in the Bering Sea. We captured birds shortly after arrival on breeding grounds in early June 2002&ndash;2006 at two sites in northern Alaska and determined the region in which individuals wintered using satellite telemetry or stable isotope ratios of head feathers. We used generalized linear models to assess whether winter region explained variation in arrival body mass among individuals by accounting for sex, site, annual variation, and the date a bird was captured. We found no support for our hypothesis that either arrival time or arrival body mass of king eiders differed among winter regions. We conclude that wintering in different regions in the Bering Sea is unlikely to have reproductive consequences for king eiders in our study areas.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00300-009-0618-1","usgsCitation":"Powell, A., and Oppel, S., 2009, Does winter region affect spring arrival time and body mass of king eiders in northern Alaska?: Polar Biology, v. 32, no. 8, p. 1203-1209, https://doi.org/10.1007/s00300-009-0618-1.","productDescription":"6 p.","startPage":"1203","endPage":"1209","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-009708","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":306847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kuparuk oil field and Teshekpuk Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": 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