{"pageNumber":"643","pageRowStart":"16050","pageSize":"25","recordCount":68919,"records":[{"id":70042379,"text":"fs20123138 - 2012 - Assessing the vulnerability of public-supply wells to contamination: Rio Grande aquifer system in Albuquerque, New Mexico","interactions":[],"lastModifiedDate":"2013-01-06T12:14:53","indexId":"fs20123138","displayToPublicDate":"2013-01-06T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3138","title":"Assessing the vulnerability of public-supply wells to contamination: Rio Grande aquifer system in Albuquerque, New Mexico","docAbstract":"This fact sheet highlights findings from the vulnerability study of a public-supply well in Albuquerque, New Mexico (hereafter referred to as “the study well”). The study well produces about 3,000 gallons of water per minute from the Rio Grande aquifer system. Water samples were collected at the study well, at two other nearby public-supply wells, and at monitoring wells installed in or near the simulated zone of contribution to the study well. Untreated water samples from the study well contained arsenic at concentrations exceeding the Maximum Contaminant Level (MCL) of 10 micrograms per liter (µg/L) established by the U.S. Environmental Protection Agency for drinking water. Volatile organic compounds (VOCs) and nitrate also were detected, although at concentrations at least an order of magnitude less than established drinking-water standards, where such standards exist. Overall, study findings point to four primary influences on the movement and (or) fate of contaminants and the vulnerability of the public-supply well in Albuquerque: (1) groundwater age (how long ago water entered, or recharged, the aquifer), (2) groundwater development (introduction of manmade recharge and discharge sources), (3) natural geochemical conditions of the aquifer, and (4) seasonal pumping stresses. Concentrations of the isotope carbon-14 indicate that groundwater from most sampled wells in the local study area is predominantly water that entered, or recharged, the aquifer more than 6,000 years ago. However, the additional presence of the age tracer tritium in several groundwater samples at concentrations above 0.3 tritium units indicates that young (post-1950) recharge is reaching the aquifer across broad areas beneath Albuquerque. This young recharge is mixing with the thousands-of-years-old water, is migrating to depths as great as 245 feet below the water table, and is traveling to some (but not all) of the public-supply wells sampled. Most groundwater samples containing a fraction of young water also contain manmade VOCs, including chloroform (a byproduct of drinking-water chlorination), which indicates that the source of young recharge is, at least in part, infiltration of chlorinated municipal-supply water from leaking waterlines and sewerlines or from turf watering. Other likely manmade, urban recharge sources are seepage from constructed ponds and unlined portions of a stormwater diversion channel. A regional-scale computer-model simulation of groundwater flow and transport to the public-supply well shows that manmade sources of recharge and discharge that were added after about 1930 have greatly altered directions of groundwater flow near Albuquerque and have caused water levels to decline by as much as 120 feet. Local-scale simulations show that seasonal changes in the pumping schedule of the study well affect the age and quality of water produced by the well. Increased pumping during the summer causes significant volumes of water to flow downward from the shallow to the intermediate zones of the aquifer, causing a higher fraction of young water to be produced by the well in the summer than in the winter months and a corresponding increase in VOC detections in the summer relative to the winter. During the winter when the study-well pump is idle for several hours each day, old, high-arsenic water from the deep zone of the aquifer travels up the wellbore and exits into the intermediate zone of the aquifer. When the pump is activated in the winter (for a relatively short time each day), some of the leaked, high-arsenic water is recaptured by the well. This results in a higher arsenic concentration (commonly more than 12 µg/L) in water produced in the winter than in the summer, and a smaller fraction of young water being produced by the well in the winter than in the summer (6 percent in the winter, compared to 11 percent in the summer). Knowledge of the vertical flow direction (both natural and pumping-enhanced) in the vicinity of a long-screened well, coupled with understanding of variations in contaminant concentrations with depth in the aquifer, can help water managers predict the positive or negative effect that wellbore flow will have on water quality and can lead to development of strategies to mitigate contamination (such as changes in pumping schedules or development of devices to inhibit wellbore flow when the pump is off).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123138","collaboration":"National Water-Quality Assessment, Transport of Anthropogenic and Natural Contaminants (TANC) to Public-Supply Wells","usgsCitation":"Jagucki, M.L., Bexfield, L.M., Heywood, C.E., and Eberts, S., 2012, Assessing the vulnerability of public-supply wells to contamination: Rio Grande aquifer system in Albuquerque, New Mexico: U.S. Geological Survey Fact Sheet 2012-3138, 6 p., https://doi.org/10.3133/fs20123138.","productDescription":"6 p.","additionalOnlineFiles":"N","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":265301,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3138/"},{"id":265302,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3138/pdf/fs2012-3138.pdf"},{"id":265303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3138.gif"}],"country":"United States","state":"New Mexico","city":"Albuquerque","otherGeospatial":"Rio Grande","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.666667,35.041667 ], [ -106.666667,35.1 ], [ -106.608333,35.1 ], [ -106.608333,35.041667 ], [ -106.666667,35.041667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ea9cebe4b02dd6076fad87","contributors":{"authors":[{"text":"Jagucki, Martha L. 0000-0003-3798-8393 mjagucki@usgs.gov","orcid":"https://orcid.org/0000-0003-3798-8393","contributorId":1794,"corporation":false,"usgs":true,"family":"Jagucki","given":"Martha","email":"mjagucki@usgs.gov","middleInitial":"L.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bexfield, Laura M. 0000-0002-1789-654X bexfield@usgs.gov","orcid":"https://orcid.org/0000-0002-1789-654X","contributorId":1273,"corporation":false,"usgs":true,"family":"Bexfield","given":"Laura","email":"bexfield@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heywood, Charles E. cheywood@usgs.gov","contributorId":2043,"corporation":false,"usgs":true,"family":"Heywood","given":"Charles","email":"cheywood@usgs.gov","middleInitial":"E.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eberts, Sandra M. smeberts@usgs.gov","contributorId":2264,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra M.","email":"smeberts@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":471423,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042374,"text":"sir20125268 - 2012 - Hydrologic and sediment data collected from selected basins at the Fort Leonard Wood Military Reservation, Missouri--2010-11","interactions":[],"lastModifiedDate":"2013-01-06T13:53:14","indexId":"sir20125268","displayToPublicDate":"2013-01-06T00:00:00","publicationYear":"2012","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":"2012-5268","title":"Hydrologic and sediment data collected from selected basins at the Fort Leonard Wood Military Reservation, Missouri--2010-11","docAbstract":"Commercial and residential development within a basin often increases the amount of impervious area, which changes the natural hydrologic response to storm events by increasing runoff. Land development and disturbance combined with increased runoff from impervious areas potentially can increase sediment transport. At the Fort Leonard Wood Military Reservation in Missouri, there has been an increase in population and construction activities in the recent past, which has initiated an assessment of the hydrology in selected basins. From April 2010 to December 2011, the U.S. Geological Survey, in cooperation with the U.S. Army Maneuver Support Center at the Fort Leonard Wood Military Reservation, collected hydrologic and suspended-sediment concentration data in six basins at Fort Leonard Wood. Storm-sediment concentration, load, and yield varied from basin to basin and from storm to storm. In general, storm-sediment yield, in pounds per square mile per minute, was greatest from Ballard Hollow tributary (06928410) and Dry Creek (06930250), and monthly storm-sediment yield, in tons per square mile, estimates were largest in Ballard Hollow tributary (06928410), East Gate Hollow tributary (06930058), and Dry Creek (06930250). Sediment samples, collected at nine sites, primarily were collected using automatic samplers and augmented with equal-width-increment cross-sectional samples and manually collected samples when necessary. Storm-sediment load and yield were computed from discharge and suspended-sediment concentration data. Monthly storm-sediment yields also were estimated from the total storm discharge and the mean suspended-sediment concentration at each given site.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125268","isbn":"978-1-4113-3531-8","collaboration":"Prepared in cooperation with U.S. Army Maneuver Support Center at the Fort Leonard Wood Military Reservation","usgsCitation":"Richards, J.M., Rydlund, P.H., and Barr, M.N., 2012, Hydrologic and sediment data collected from selected basins at the Fort Leonard Wood Military Reservation, Missouri--2010-11: U.S. Geological Survey Scientific Investigations Report 2012-5268, vi, 23 p., https://doi.org/10.3133/sir20125268.","productDescription":"vi, 23 p.","numberOfPages":"36","additionalOnlineFiles":"N","temporalStart":"2010-04-01","temporalEnd":"2011-12-31","ipdsId":"IP-039458","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":265315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5268.gif"},{"id":265313,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5268/"},{"id":265314,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5268/sir12-5268.pdf"}],"projection":"Universal Transverse Mercator projection, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Missouri","county":"Pulaski","otherGeospatial":"Fort Leonard Wood","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.25,37.583333 ], [ -92.25,37.833333 ], [ -92.0,37.833333 ], [ -92.0,37.583333 ], [ -92.25,37.583333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ea9ceee4b02dd6076fad8b","contributors":{"authors":[{"text":"Richards, Joseph M. 0000-0002-9822-2706 richards@usgs.gov","orcid":"https://orcid.org/0000-0002-9822-2706","contributorId":2370,"corporation":false,"usgs":true,"family":"Richards","given":"Joseph","email":"richards@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rydlund, Paul H. Jr. 0000-0001-9461-9944 prydlund@usgs.gov","orcid":"https://orcid.org/0000-0001-9461-9944","contributorId":3840,"corporation":false,"usgs":true,"family":"Rydlund","given":"Paul","suffix":"Jr.","email":"prydlund@usgs.gov","middleInitial":"H.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barr, Miya N. 0000-0002-9961-9190 mnbarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9961-9190","contributorId":3686,"corporation":false,"usgs":true,"family":"Barr","given":"Miya","email":"mnbarr@usgs.gov","middleInitial":"N.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471404,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042074,"text":"70042074 - 2012 - Variance partitioning of stream diatom, fish, and invertebrate indicators of biological condition","interactions":[],"lastModifiedDate":"2014-05-14T12:41:22","indexId":"70042074","displayToPublicDate":"2013-01-05T11:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Variance partitioning of stream diatom, fish, and invertebrate indicators of biological condition","docAbstract":"Stream indicators used to make assessments of biological condition are influenced by many possible sources of variability. To examine this issue, we used multiple-year and multiple-reach diatom, fish, and invertebrate data collected from 20 least-disturbed and 46 developed stream segments between 1993 and 2004 as part of the US Geological Survey National Water Quality Assessment Program. We used a variance-component model to summarize the relative and absolute magnitude of 4 variance components (among-site, among-year, site × year interaction, and residual) in indicator values (observed/expected ratio [O/E] and regional multimetric indices [MMI]) among assemblages and between basin types (least-disturbed and developed). We used multiple-reach samples to evaluate discordance in site assessments of biological condition caused by sampling variability. Overall, patterns in variance partitioning were similar among assemblages and basin types with one exception. Among-site variance dominated the relative contribution to the total variance (64–80% of total variance), residual variance (sampling variance) accounted for more variability (8–26%) than interaction variance (5–12%), and among-year variance was always negligible (0–0.2%). The exception to this general pattern was for invertebrates at least-disturbed sites where variability in O/E indicators was partitioned between among-site and residual (sampling) variance (among-site  =  36%, residual  =  64%). This pattern was not observed for fish and diatom indicators (O/E and regional MMI). We suspect that unexplained sampling variability is what largely remained after the invertebrate indicators (O/E predictive models) had accounted for environmental differences among least-disturbed sites. The influence of sampling variability on discordance of within-site assessments was assemblage or basin-type specific. Discordance among assessments was nearly 2× greater in developed basins (29–31%) than in least-disturbed sites (15–16%) for invertebrates and diatoms, whereas discordance among assessments based on fish did not differ between basin types (least-disturbed  =  16%, developed  =  17%). Assessments made using invertebrate and diatom indicators from a single reach disagreed with other samples collected within the same stream segment nearly ⅓ of the time in developed basins, compared to ⅙ for all other cases.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Society for Freshwater Science","doi":"10.1899/11-040.1","usgsCitation":"Zuellig, R.E., Carlisle, D.M., Meador, M., and Potapova, M., 2012, Variance partitioning of stream diatom, fish, and invertebrate indicators of biological condition: Freshwater Science, v. 31, no. 1, p. 182-190, https://doi.org/10.1899/11-040.1.","productDescription":"9 p.","startPage":"182","endPage":"190","ipdsId":"IP-011898","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":474107,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1899/11-040.1","text":"External Repository"},{"id":287130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287129,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/11-040.1"}],"country":"United States","volume":"31","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5374907ae4b0870f4d23d007","contributors":{"authors":[{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":470741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meador, Michael R. mrmeador@usgs.gov","contributorId":615,"corporation":false,"usgs":true,"family":"Meador","given":"Michael R.","email":"mrmeador@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":470742,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Potapova, Marina","contributorId":89274,"corporation":false,"usgs":true,"family":"Potapova","given":"Marina","email":"","affiliations":[],"preferred":false,"id":470744,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042382,"text":"sir20105070F - 2012 - Occurrence model for volcanogenic beryllium deposits","interactions":[],"lastModifiedDate":"2022-04-22T20:13:40.290191","indexId":"sir20105070F","displayToPublicDate":"2013-01-05T00:00:00","publicationYear":"2012","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":"2010-5070","chapter":"F","title":"Occurrence model for volcanogenic beryllium deposits","docAbstract":"<p>Current global and domestic mineral resources of beryllium (Be) for industrial uses are dominated by ores produced from deposits of the volcanogenic Be type. Beryllium deposits of this type can form where hydrothermal fluids interact with fluorine and lithophile-element (uranium, thorium, rubidium, lithium, beryllium, cesium, tantalum, rare earth elements, and tin) enriched volcanic rocks that contain a highly reactive lithic component, such as carbonate clasts. Volcanic and hypabyssal high-silica biotite-bearing topaz rhyolite constitutes the most well-recognized igneous suite associated with such Be deposits. The exemplar setting is an extensional tectonic environment, such as that characterized by the Basin and Range Province, where younger topaz-bearing igneous rock sequences overlie older dolomite, quartzite, shale, and limestone sequences. Mined deposits and related mineralized rocks at Spor Mountain, Utah, make up a unique economic deposit of volcanogenic Be having extensive production and proven and probable reserves. Proven reserves in Utah, as reported by the U.S. Geological Survey National Mineral Information Center, total about 15,900 tons of Be that are present in the mineral bertrandite (Be<sub>4</sub>Si<sub>2</sub>O<sub>7</sub>(OH)<sub>2</sub>). At the type locality for volcanogenic Be, Spor Mountain, the tuffaceous breccias and stratified tuffs that host the Be ore formed as a result of explosive volcanism that brought carbonate and other lithic fragments to the surface through vent structures that cut the underlying dolomitic Paleozoic sedimentary rock sequences. The tuffaceous sediments and lithic clasts are thought to make up phreatomagmatic base surge deposits. Hydrothermal fluids leached Be from volcanic glass in the tuff and redeposited the Be as bertrandite upon reaction of the hydrothermal fluid with carbonate clasts in lithic-rich sections of tuff. The localization of the deposits in tuff above fluorite-mineralized faults in carbonate rocks, together with isotopic evidence for the involvement of magmatic water in an otherwise meteoric water-dominated hydrothermal system, indicate that magmatic volatiles contributed to mineralization. At the type locality, hydrothermal alteration of dolomite clasts formed layered nodules of calcite, opal, fluorite, and bertrandite, the latter occurring finely intergrown with fluorite. Alteration assemblages and elemental enrichments in the tuff and surrounding volcanic rocks include regional diagenetic clays and potassium feldspar and distinctive hydrothermal halos of anomalous fluorine, lithium, molybdenum, niobium, tin, and tantalum, and intense potassium feldspathization with sericite and lithium-smectite in the immediate vicinity of Be ore. Formation of volcanogenic Be deposits is due to the coincidence of multiple factors that include an appropriate Be-bearing source rock, a subjacent pluton that supplied volatiles and heat to drive convection of meteoric groundwater, a depositional site characterized by the intersection of normal faults with permeable tuff below a less permeable cap rock, a fluorine-rich ore fluid that facilitated Be transport (for example, BeF<sub>4</sub><sup>2-</sup> complex), and the existence of a chemical trap that caused fluorite and bertrandite to precipitate at the former site of carbonate lithic clasts in the tuff.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Mineral deposit models for resource assessment (Scientific Investigations Report 2010-5070)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105070F","usgsCitation":"Foley, N.K., Hofstra, A.H., Lindsey, D.A., Seal, R., Jaskula, B.W., and Piatak, N., 2012, Occurrence model for volcanogenic beryllium deposits: U.S. Geological Survey Scientific Investigations Report 2010-5070, vi, 43 p., https://doi.org/10.3133/sir20105070F.","productDescription":"vi, 43 p.","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":265312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5070_F.gif"},{"id":399523,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98030.htm"},{"id":265310,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5070/f/"},{"id":265311,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5070/f/SIR10-5070F.pdf","text":"Report","size":"11.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50eaabf2e4b02dd6076fadb0","contributors":{"authors":[{"text":"Foley, Nora K. 0000-0003-0124-3509 nfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-0124-3509","contributorId":4010,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","email":"nfoley@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":471436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":471434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindsey, David A. 0000-0002-9466-0899 dlindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-9466-0899","contributorId":773,"corporation":false,"usgs":true,"family":"Lindsey","given":"David","email":"dlindsey@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":471433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seal, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":397,"corporation":false,"usgs":true,"family":"Seal","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[],"preferred":false,"id":471432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaskula, Brian W. bjaskula@usgs.gov","contributorId":1935,"corporation":false,"usgs":true,"family":"Jaskula","given":"Brian","email":"bjaskula@usgs.gov","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":471435,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Piatak, Nadine M.","contributorId":23621,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine M.","affiliations":[],"preferred":false,"id":471437,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70042381,"text":"sir20125272 - 2012 - The occurrence of trace elements in bed sediment collected from areas of varying land use and potential effects on stream macroinvertebrates in the conterminous western United States, Alaska, and Hawaii, 1992-2000","interactions":[],"lastModifiedDate":"2017-01-25T10:41:04","indexId":"sir20125272","displayToPublicDate":"2013-01-04T00:00:00","publicationYear":"2012","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":"2012-5272","title":"The occurrence of trace elements in bed sediment collected from areas of varying land use and potential effects on stream macroinvertebrates in the conterminous western United States, Alaska, and Hawaii, 1992-2000","docAbstract":"<p>As part of the National Water-Quality Assessment Program of the U.S. Geological Survey, this study examines the occurrence of nine trace elements in bed sediment of varying mineralogy and land use and assesses the possible effects of these trace elements on aquatic-macroinvertebrate community structure. Samples of bed sediment and macroinvertebrates were collected from 154 streams at sites representative of undeveloped, agricultural, urban, mined, or mixed land-use areas and 12 intermediate-scale ecoregions within the conterminous western United States, Alaska, and Hawaii from 1992 to 2000. The nine trace elements evaluated during this study—arsenic (As), cadmium (Cd), chromium (Cr), copper (Cu), lead (Pb), mercury (Hg), nickel (Ni), selenium (Se), and zinc (Zn)—were selected on the basis of potential ecologic significance and availability of sediment-quality guidelines. At most sites, the occurrence of these trace elements in bed sediment was at concentrations consistent with natural geochemical abundance, and the lowest concentrations were in bed-sediment samples collected from streams in undeveloped and agricultural areas. With the exception of Zn at sampling sites influenced by historic mining-related activities, median concentrations of all nine trace elements in bed sediment collected from sites representative of the five general land-use areas were below concentrations predicted to be harmful to aquatic macroinvertebrates. The highest concentrations of As, Cd, Pb, and Zn were in bed sediment collected from mined areas. Median concentrations of Cu and Ni in bed sediment were similarly enriched in areas of mining, urban, and mixed land use. Concentrations of Cr and Ni appear to originate largely from geologic sources, especially in the western coastal states (California, Oregon, and Washington), Alaska, and Hawaii. In these areas, naturally high concentrations of Cr and Ni can exceed concentrations that may adversely affect aquatic macroinvertebrates. Generally, Hg concentrations were below the sediment-quality guideline for this trace element but appeared elevated in urbanized areas and at sites contaminated by historic mining practices. Lastly, although there was no distinctive pattern in Se concentrations with land use, median bed-sediment concentrations were slightly elevated in urbanized areas.</p><p>Macroinvertebrate community structure was influenced by topographic, geologic, climatic, and in-stream characteristics. To account for inherent distribution patterns resulting from these influences, samples of macroinvertebrates were stratified by ecoregion to assess the influence of trace elements on community structure. Cumulative toxic units (CTUs) were used to evaluate gradients in trace-element concentrations in mixture. Correlation analyses among the trace elements under different land-use conditions indicate that trace-element mixtures vary among bed sediment and can have a marked influence on CTU composition. Macroinvertebrate response to bed-sediment trace-element exposure was evident only at the most highly contaminated sites, notably at sites classified as contaminated by the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) as a result of historic mining activities. Results of this study agree with the findings of other studies evaluating trace-element exposure to in-stream macroinvertebrate community structure in that generally lower richness metrics and taxa dominance occur in streams where high trace-element enrichment occurs; however, not all streams in all areas have the same characterizing taxa. In the mountain and xeric ecosystems, the mayfly, <i>Baetis</i> sp.; the Diptera, <i>Simulium</i> sp.; caddisflies in the family Hydropsychiidae; midges in the family Orthocladiinae; and the worms belonging to Turbellaria and Naididae all demonstrated resilience to trace-element exposure and, in some cases, possible changes in physical habitat within stream ecosystems. The taxa characteristics within the Ozark Highland ecoregion were different than other ecoregions as evidenced by generally more diverse mayfly populations. In addition, <i>Baetis</i> sp. was common and dominated many of the mayfly populations found in the Rocky Mountain streams within the Mountain Southern Rockies and Mountain Northern Rockies ecoregions; however, within the Ozark Highland ecoregion, <i>Tricorythodes</i> sp. appeared to be more common than <i>Baetis</i> sp.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125272","usgsCitation":"Paul, A.P., Paretti, N., MacCoy, D.E., and Brasher, A., 2012, The occurrence of trace elements in bed sediment collected from areas of varying land use and potential effects on stream macroinvertebrates in the conterminous western United States, Alaska, and Hawaii, 1992-2000: U.S. Geological Survey Scientific Investigations Report 2012-5272, Report: viii, 64 p.; Appendixes, https://doi.org/10.3133/sir20125272.","productDescription":"Report: viii, 64 p.; 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demaccoy@usgs.gov","orcid":"https://orcid.org/0000-0001-6810-4728","contributorId":948,"corporation":false,"usgs":true,"family":"MacCoy","given":"Dorene","email":"demaccoy@usgs.gov","middleInitial":"E.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brasher, Anne M.D.","contributorId":33686,"corporation":false,"usgs":true,"family":"Brasher","given":"Anne M.D.","affiliations":[],"preferred":false,"id":471431,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042337,"text":"ds736 - 2012 - Land Capability Potential Index (LCPI) and geodatabase for the Lower Missouri River Valley","interactions":[],"lastModifiedDate":"2017-05-24T12:54:21","indexId":"ds736","displayToPublicDate":"2013-01-04T00:00:00","publicationYear":"2012","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":"736","title":"Land Capability Potential Index (LCPI) and geodatabase for the Lower Missouri River Valley","docAbstract":"The Land Capacity Potential Index (LCPI) is a coarse-scale index intended to delineate broad land-capability classes in the Lower Missouri River valley bottom from the Gavins Point Dam near Yankton, South Dakota to the mouth of the Missouri River near St. Louis, Missouri (river miles 811–0). The LCPI provides a systematic index of wetness potential and soil moisture-retention potential of the valley-bottom lands by combining the interactions among water-surface elevations, land-surface elevations, and the inherent moisture-retention capability of soils. A nine-class wetness index was generated by intersecting a digital elevation model for the valley bottom with sloping water-surface elevation planes derived from eight modeled discharges. The flow-recurrence index was then intersected with eight soil-drainage classes assigned to soils units in the digital Soil Survey Geographic (SSURGO) Database (Soil Survey Staff, 2010) to create a 72-class index of potential flow-recurrence and moisture-retention capability of Missouri River valley-bottom lands. The LCPI integrates the fundamental abiotic factors that determine long-term suitability of land for various uses, particularly those relating to vegetative communities and their associated values. Therefore, the LCPI provides a mechanism allowing planners, land managers, landowners, and other stakeholders to assess land-use capability based on the physical properties of the land, in order to guide future land-management decisions. This report documents data compilation for the LCPI in a revised and expanded, 72-class version for the Lower Missouri River valley bottom, and inclusion of additional soil attributes to allow users flexibility in exploring land capabilities.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds736","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service, Nebraska Game and Parks Commission, and the Nature Conservancy","usgsCitation":"Chojnacki, K.A., Struckhoff, M.A., and Jacobson, R.B., 2012, Land Capability Potential Index (LCPI) and geodatabase for the Lower Missouri River Valley: U.S. Geological Survey Data Series 736, Report: iv, 18 p.; Downloads Directory, https://doi.org/10.3133/ds736.","productDescription":"Report: iv, 18 p.; Downloads Directory","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-037780","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":265277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_736.gif"},{"id":265276,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/736/downloads/"},{"id":265274,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/736/"},{"id":265275,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/736/ds736.pdf"}],"scale":"2000000","datum":"North American Datum 1983","country":"United States","state":"Iowa, Kansas, Missouri, Nebraska, South Dakota","otherGeospatial":"Missouri River Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.0,38.0 ], [ -98.0,43.5 ], [ -90.0,43.5 ], [ -90.0,38.0 ], [ -98.0,38.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e7f9ebe4b033ce2d2433e9","contributors":{"authors":[{"text":"Chojnacki, Kimberly A. kchojnacki@usgs.gov","contributorId":1978,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Kimberly","email":"kchojnacki@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":471329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Struckhoff, Matthew A. 0000-0002-4911-9956 mstruckhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-4911-9956","contributorId":2095,"corporation":false,"usgs":true,"family":"Struckhoff","given":"Matthew","email":"mstruckhoff@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":471330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":471328,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042280,"text":"70042280 - 2012 - Interbasin water transfer, riverine connectivity, and spatial controls on fish biodiversity","interactions":[],"lastModifiedDate":"2013-01-18T21:15:21","indexId":"70042280","displayToPublicDate":"2013-01-02T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Interbasin water transfer, riverine connectivity, and spatial controls on fish biodiversity","docAbstract":"<b>Background</b> Large-scale inter-basin water transfer (IBWT) projects are commonly proposed as solutions to water distribution and supply problems. These problems are likely to intensify under future population growth and climate change scenarios. Scarce data on the distribution of freshwater fishes frequently limits the ability to assess the potential implications of an IBWT project on freshwater fish communities. Because connectivity in habitat networks is expected to be critical to species' biogeography, consideration of changes in the relative isolation of riverine networks may provide a strategy for controlling impacts of IBWTs on freshwater fish communities <b>Methods/Principal Findings</b> Using empirical data on the current patterns of freshwater fish biodiversity for rivers of peninsular India, we show here how the spatial changes alone under an archetypal IBWT project will (1) reduce freshwater fish biodiversity system-wide, (2) alter patterns of local species richness, (3) expand distributions of widespread species throughout peninsular rivers, and (4) decrease community richness by increasing inter-basin similarity (a mechanism for the observed decrease in biodiversity). Given the complexity of the IBWT, many paths to partial or full completion of the project are possible. We evaluate two strategies for step-wise implementation of the 11 canals, based on economic or ecological considerations. We find that for each step in the project, the impacts on freshwater fish communities are sensitive to which canal is added to the network. <b>Conclusions/Significance</b> Importantly, ecological impacts can be reduced by associating the sequence in which canals are added to characteristics of the links, except for the case when all 11 canals are implemented simultaneously (at which point the sequence of canal addition is inconsequential). By identifying the fundamental relationship between the geometry of riverine networks and freshwater fish biodiversity, our results will aid in assessing impacts of IBWT projects and balancing ecosystem and societal demands for freshwater, even in cases where biodiversity data are limited.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0034170","usgsCitation":"Grant, E., Lynch, H., Muneepeerakul, R., Muthukumarasamy, A., Rodríguez-Iturbe, I., and Fagan, W., 2012, Interbasin water transfer, riverine connectivity, and spatial controls on fish biodiversity: PLoS ONE, v. 7, no. 3, 7 p.; e34170, https://doi.org/10.1371/journal.pone.0034170.","productDescription":"7 p.; e34170","ipdsId":"IP-035454","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474110,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0034170","text":"Publisher Index Page"},{"id":265022,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0034170"},{"id":265023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-03-28","publicationStatus":"PW","scienceBaseUri":"50e5d009e4b0a4aa5bb0af33","contributors":{"authors":[{"text":"Grant, Evan H. Campbell","contributorId":14686,"corporation":false,"usgs":true,"family":"Grant","given":"Evan H. Campbell","affiliations":[],"preferred":false,"id":471178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Heather J.","contributorId":23824,"corporation":false,"usgs":true,"family":"Lynch","given":"Heather J.","affiliations":[],"preferred":false,"id":471179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muneepeerakul, Rachata","contributorId":66130,"corporation":false,"usgs":true,"family":"Muneepeerakul","given":"Rachata","email":"","affiliations":[],"preferred":false,"id":471180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muthukumarasamy, Arunachalam","contributorId":77016,"corporation":false,"usgs":true,"family":"Muthukumarasamy","given":"Arunachalam","affiliations":[],"preferred":false,"id":471181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodríguez-Iturbe, Ignacio","contributorId":78626,"corporation":false,"usgs":true,"family":"Rodríguez-Iturbe","given":"Ignacio","affiliations":[],"preferred":false,"id":471182,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fagan, William F.","contributorId":108239,"corporation":false,"usgs":true,"family":"Fagan","given":"William F.","affiliations":[],"preferred":false,"id":471183,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70042274,"text":"ofr20121252 - 2012 - Future scenarios of land-use and land-cover change in the United States--the Marine West Coast Forests Ecoregion","interactions":[],"lastModifiedDate":"2018-03-08T12:52:33","indexId":"ofr20121252","displayToPublicDate":"2013-01-02T00:00:00","publicationYear":"2012","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":"2012-1252","title":"Future scenarios of land-use and land-cover change in the United States--the Marine West Coast Forests Ecoregion","docAbstract":"Detecting, quantifying, and projecting historical and future changes in land use and land cover (LULC) has emerged as a core research area for the U.S. Geological Survey (USGS). Changes in LULC are important drivers of changes to biogeochemical cycles, the exchange of energy between the Earth’s surface and atmosphere, biodiversity, water quality, and climate change. To quantify the rates of recent historical LULC change, the USGS Land Cover Trends project recently completed a unique ecoregion-based assessment of late 20th century LULC change for the western United States. To characterize present LULC, the USGS and partners have created the National Land Cover Database (NLCD) for the years 1992, 2001, and 2006. Both Land Cover Trends and NLCD projects continue to evolve in an effort to better characterize historical and present LULC conditions and are the foundation of the data presented in this report.\n\nProjecting future changes in LULC requires an understanding of the rates and patterns of change, the major driving forces, and the socioeconomic and biophysical determinants and capacities of regions. The data presented in this report is the result of an effort by USGS scientists to downscale the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios (SRES) to ecoregions of the conterminous United States as part of the USGS Biological Carbon Sequestration Assessment. The USGS biological carbon assessment was mandated by Section 712 of the Energy Independence and Security Act of 2007. As part of the legislative mandate, the USGS is required to publish a methodology describing, in detail, the approach to be used for the assessment. The development of future LULC scenarios is described in chapter 3.2 and appendix A. Spatial modeling is described in chapter 3.3.2 and appendix B and in Sohl and others (2011). In this report, we briefly summarize the major components and methods used to downscale IPCC-SRES scenarios to ecoregions of the conterminous United States, followed by a description of the Marine West Coast Forests Ecoregion, and lastly a description of the data being published as part of this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121252","usgsCitation":"Wilson, T.S., Sleeter, B.M., Sohl, T.L., Griffith, G., Acevedo, W., Bennett, S., Bouchard, M., Reker, R.R., Ryan, C., Sayler, K., Sleeter, R., and Soulard, C.E., 2012, Future scenarios of land-use and land-cover change in the United States--the Marine West Coast Forests Ecoregion: U.S. Geological Survey Open-File Report 2012-1252, Report: iii, 14 p.; Appendices: A-C, https://doi.org/10.3133/ofr20121252.","productDescription":"Report: iii, 14 p.; Appendices: A-C","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-037302","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":265010,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1252/"},{"id":265011,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1252/of2012-1252_text.pdf","text":"Report"},{"id":265013,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2012/1252/of2012-1252_appendix_a_metadata","text":"Appendix A metadata"},{"id":265015,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2012/1252/of2012-1252_appendix_a-baseline_maps.zip","text":"Appendix A data"},{"id":265014,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2012/1252/of2012-1252_appendix_c-projected_LULC_2006-2100.zip","text":"Appendix C data"},{"id":265012,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2012/1252/of2012-1252_appendix_b-demand_table.zip","text":"Appendix B demand table"},{"id":265016,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2012/1252/of2012-1252_appendix_c_metadata","text":"Appendix C metadata"},{"id":265017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1252.gif"}],"country":"United States","state":"California;Oregon;Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.7857,32.53 ], [ -124.7857,49.0024 ], [ -114.13,49.0024 ], [ -114.13,32.53 ], [ -124.7857,32.53 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e5cffee4b0a4aa5bb0aefd","contributors":{"authors":[{"text":"Wilson, Tamara S.","contributorId":36640,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":471160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":471156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":471151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffith, Glenn","contributorId":21043,"corporation":false,"usgs":true,"family":"Griffith","given":"Glenn","affiliations":[],"preferred":false,"id":471159,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Acevedo, William wacevedo@usgs.gov","contributorId":2689,"corporation":false,"usgs":true,"family":"Acevedo","given":"William","email":"wacevedo@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":471154,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennett, Stacie","contributorId":83259,"corporation":false,"usgs":true,"family":"Bennett","given":"Stacie","affiliations":[],"preferred":false,"id":471161,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bouchard, Michelle 0000-0002-6353-3491 mbouchard@usgs.gov","orcid":"https://orcid.org/0000-0002-6353-3491","contributorId":3765,"corporation":false,"usgs":true,"family":"Bouchard","given":"Michelle","email":"mbouchard@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":471157,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reker, Ryan R. 0000-0001-7524-0082 rreker@usgs.gov","orcid":"https://orcid.org/0000-0001-7524-0082","contributorId":174136,"corporation":false,"usgs":true,"family":"Reker","given":"Ryan","email":"rreker@usgs.gov","middleInitial":"R.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":471158,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ryan, Christy","contributorId":96979,"corporation":false,"usgs":true,"family":"Ryan","given":"Christy","email":"","affiliations":[],"preferred":false,"id":471162,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":471155,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sleeter, Rachel 0000-0003-3477-0436 rsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-3477-0436","contributorId":666,"corporation":false,"usgs":true,"family":"Sleeter","given":"Rachel","email":"rsleeter@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":471152,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":471153,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70046946,"text":"70046946 - 2012 - Northwestern salamanders Ambystoma gracile in mountain lakes: record oviposition depths among salamanders","interactions":[],"lastModifiedDate":"2013-07-18T14:56:03","indexId":"70046946","displayToPublicDate":"2013-01-01T14:51:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Northwestern salamanders Ambystoma gracile in mountain lakes: record oviposition depths among salamanders","docAbstract":"Oviposition timing, behaviors, and microhabitats of ambystomatid salamanders vary considerably (Egan and Paton 2004; Figiel and Semlitsch 1995; Howard and Wallace 1985; Mac-Cracken 2007). Regardless of species, however, females typically oviposit using sites conducive to embryo development and survival. For example, the results of an experiment by Figiel and Semlitsch (1995) on Ambystoma opacum (Marbled Salamander) oviposition indicated that females actively selected sites that were under grass clumps in wet versus dry treatments, and surmised that environmental conditions such as humidity, moisture, and temperature contributed to their results. Other factors associated with ambystomatid oviposition and embryo survival include water temperature (Anderson 1972; Brown 1976), dissolved oxygen concentration (Petranka et al. 1982; Sacerdote and King 2009), oviposition depth (Dougherty et al. 2005; Egan and Paton 2004), and oviposition attachment structures such as woody vegetation (McCracken 2007; Nussbaum et al. 1983). Resetarits (1996), in creating a model of oviposition site selection for anuran amphibians, hypothesized that oviparous organisms were also capable of modifying oviposition behavior and site selection to accommodate varying habitat conditions and to minimize potential negative effects of environmental stressors. Kats and Sih (1992), investigating the oviposition of Ambystoma barbouri (Streamside Salamander) in pools of a Kentucky stream, found that females preferred pools without predatory Lepomis cyanellus (Green Sunfish), and that the number of egg masses present in a pool historically containing fish increased significantly the year after fish had been extirpated from the pool. Palen et al. (2005) determined that Ambystoma gracile (Northwestern Salamander) and Ambystoma macrodactylum (Longtoed Salamander) eggs were deposited either at increased depth or in full shaded habitats, respectively, as water transperancy to UV-B radiation increased.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Herpetological Review","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SSAR","usgsCitation":"Hoffman, R., Pearl, C., Larson, G., and Samora, B., 2012, Northwestern salamanders Ambystoma gracile in mountain lakes: record oviposition depths among salamanders: Herpetological Review, v. 43, no. 4, p. 553-556.","productDescription":"4 p.","startPage":"553","endPage":"556","ipdsId":"IP-037373","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":275152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e90e61e4b0e157e9e86f15","contributors":{"authors":[{"text":"Hoffman, R. Jr.","contributorId":63290,"corporation":false,"usgs":true,"family":"Hoffman","given":"R.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":480664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearl, C.A. 0000-0003-2943-7321","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":30732,"corporation":false,"usgs":true,"family":"Pearl","given":"C.A.","affiliations":[],"preferred":false,"id":480663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, G.L.","contributorId":103021,"corporation":false,"usgs":true,"family":"Larson","given":"G.L.","email":"","affiliations":[],"preferred":false,"id":480665,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Samora, B.","contributorId":10012,"corporation":false,"usgs":true,"family":"Samora","given":"B.","affiliations":[],"preferred":false,"id":480662,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047610,"text":"70047610 - 2012 - Do Daphnia use metalimnetic organic matter in a north temperate lake? An analysis of vertical migration","interactions":[],"lastModifiedDate":"2013-08-14T14:53:05","indexId":"70047610","displayToPublicDate":"2013-01-01T14:44:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Do Daphnia use metalimnetic organic matter in a north temperate lake? An analysis of vertical migration","docAbstract":"Diel vertical migration of zooplankton is influenced by a variety of factors including predation, food, and temperature. Research has recently shifted from a focus on factors influencing migration to how migration affects nutrient cycling and habitat coupling. Here we evaluate the potential for Daphnia migrations to incorporate metalimnetic productivity in a well-studied northern Wisconsin lake. We use prior studies conducted between 1985 and 1990 and current diel migration data (2008) to compare day and night Daphnia vertical distributions with the depth of the metalimnion (between the thermocline and 1% light depth). Daphnia migrate from a daytime mean residence depth of between about 1.7 and 2.5 m to a nighttime mean residence depth of between 0 and 2.0 m. These migrations are consistent between the prior period and current measurements. Daytime residence depths of Daphnia are rarely deep enough to reach the metalimnion; hence, metalimnetic primary production is unlikely to be an important resource for Daphnia in this system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Inland Waters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Society of Limnology","usgsCitation":"Brosseau, C.J., Cline, T.J., Cole, J.J., Hodgson, J.R., Pace, M., and Weidel, B., 2012, Do Daphnia use metalimnetic organic matter in a north temperate lake? An analysis of vertical migration: Inland Waters, v. 2, no. 4, p. 193-198.","productDescription":"6 p.","startPage":"193","endPage":"198","ipdsId":"IP-041611","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":276611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520ca6e4e4b081fa6136d3db","contributors":{"authors":[{"text":"Brosseau, Chase Julian","contributorId":45213,"corporation":false,"usgs":true,"family":"Brosseau","given":"Chase","email":"","middleInitial":"Julian","affiliations":[],"preferred":false,"id":482524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cline, Timothy J.","contributorId":28889,"corporation":false,"usgs":true,"family":"Cline","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":482523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cole, Jonathan J.","contributorId":16738,"corporation":false,"usgs":true,"family":"Cole","given":"Jonathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":482522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hodgson, James R.","contributorId":74281,"corporation":false,"usgs":true,"family":"Hodgson","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":482526,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pace, Michael L.","contributorId":54498,"corporation":false,"usgs":true,"family":"Pace","given":"Michael L.","affiliations":[],"preferred":false,"id":482525,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":482521,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039016,"text":"70039016 - 2012 - Spring onset variations and trends in the continental United States: past and regional assessment using temperature-based indices","interactions":[],"lastModifiedDate":"2014-02-25T15:49:17","indexId":"70039016","displayToPublicDate":"2013-01-01T14:04:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Spring onset variations and trends in the continental United States: past and regional assessment using temperature-based indices","docAbstract":"Phenological data are simple yet sensitive indicators of climate change impacts on ecosystems, but observations have not been made routinely or extensively enough to evaluate spatial and temporal patterns across most continents, including North America. As an alternative, many studies use weather-based algorithms to simulate specific phenological responses. Spring Indices (SI) are a set of complex phenological models that have been successfully applied to evaluate variations and trends in the onset of spring across the Northern Hemisphere’s temperate regions. To date, SI models have been limited by only producing output in locations where both the plants’ chilling and warmth requirements are met. Here, we develop an extended form of the SI (abbreviated SI-x) that expands their application into the subtropics by ignoring chilling requirements while still retaining the utility and accuracy of the original SI (now abbreviated SI-o). The validity of the new indices is tested, and regional SI anomalies are explored across the data-rich continental United States. SI-x variations from 1900 to 2010 show an abrupt and sustained delay in spring onset of about 4–8 d (around 1958) in parts of the Southeast and southern Great Plains, and a comparable advance of 4–8 d (around 1984) in parts of the northern Great Plains and the West. Atmospheric circulation anomalies, linked to large-scale modes of variability, exert modest but significant roles in the timing of spring onset across the United States on interannual and longer timescales. The SI-x are promising metrics for tracking spring onset variations and trends in mid-latitudes, relating them to relevant ecological, hydrological, and socioeconomic phenomena, and exploring connections between atmospheric drivers and seasonal timing.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Climatology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Royal Meteorological Society","doi":"10.1002/joc.3625","usgsCitation":"Schwartz, M., Ault, T., and Betancourt, J.L., 2012, Spring onset variations and trends in the continental United States: past and regional assessment using temperature-based indices: International Journal of Climatology, 6 p., https://doi.org/10.1002/joc.3625.","productDescription":"6 p.","ipdsId":"IP-039075","costCenters":[{"id":147,"text":"Branch of Regional Research-Water Resources","active":false,"usgs":true}],"links":[{"id":282783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282778,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/joc.3625"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.38333 ], [ -66.95,49.38333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2012-11-16","publicationStatus":"PW","scienceBaseUri":"53cd73d8e4b0b290851092da","contributors":{"authors":[{"text":"Schwartz, Mark D.","contributorId":11092,"corporation":false,"usgs":true,"family":"Schwartz","given":"Mark D.","affiliations":[],"preferred":false,"id":465435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ault, Toby R.","contributorId":48852,"corporation":false,"usgs":true,"family":"Ault","given":"Toby R.","affiliations":[],"preferred":false,"id":465436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":465434,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046851,"text":"70046851 - 2012 - Copper-nickel-rich, amalgamated ferromanganese crust-nodule deposits from Shatsky Rise, NW Pacific","interactions":[],"lastModifiedDate":"2013-07-11T13:12:01","indexId":"70046851","displayToPublicDate":"2013-01-01T13:01:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Copper-nickel-rich, amalgamated ferromanganese crust-nodule deposits from Shatsky Rise, NW Pacific","docAbstract":"A unique set of ferromanganese crusts and nodules collected from Shatsky Rise (SR), NW Pacific, were analyzed for mineralogical and chemical compositions, and dated using Be isotopes and cobalt chronometry. The composition of these midlatitude, deep-water deposits is markedly different from northwest-equatorial Pacific (PCZ) crusts, where most studies have been conducted. Crusts and nodules on SR formed in close proximity and some nodule deposits were cemented and overgrown by crusts, forming amalgamated deposits. The deep-water SR crusts are high in Cu, Li, and Th and low in Co, Te, and Tl concentrations compared to PCZ crusts. Thorium concentrations (ppm) are especially striking with a high of 152 (mean 56), compared to PCZ crusts (mean 11). The deep-water SR crusts show a diagenetic chemical signal, but not a diagenetic mineralogy, which together constrain the redox conditions to early oxic diagenesis. Diagenetic input to crusts is rare, but unequivocal in these deep-water crusts. Copper, Ni, and Li are strongly enriched in SR deep-water deposits, but only in layers older than about 3.4 Ma. Diagenetic reactions in the sediment and dissolution of biogenic calcite in the water column are the likely sources of these metals. The highest concentrations of Li are in crust layers that formed near the calcite compensation depth. The onset of Ni, Cu, and Li enrichment in the middle Miocene and cessation at about 3.4 Ma were accompanied by changes in the deep-water environment, especially composition and flow rates of water masses, and location of the carbonate compensation depth.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochemistry, Geophysics, Geosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1029/2012GC004286","usgsCitation":"Hein, J., Conrad, T., Frank, M., Christl, M., and Sager, W., 2012, Copper-nickel-rich, amalgamated ferromanganese crust-nodule deposits from Shatsky Rise, NW Pacific: Geochemistry, Geophysics, Geosystems, v. 13, no. 10, Q10022, https://doi.org/10.1029/2012GC004286.","productDescription":"Q10022","ipdsId":"IP-041319","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":487193,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":274879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274878,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012GC004286"}],"otherGeospatial":"Shatsky Rise","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 152.0,30.0 ], [ 152.0,44.0 ], [ 168.0,44.0 ], [ 168.0,30.0 ], [ 152.0,30.0 ] ] ] } } ] }","volume":"13","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-10-30","publicationStatus":"PW","scienceBaseUri":"51dfd3e1e4b0d332bf22f372","contributors":{"authors":[{"text":"Hein, J.R. 0000-0002-5321-899X","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":61429,"corporation":false,"usgs":true,"family":"Hein","given":"J.R.","affiliations":[],"preferred":false,"id":480468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrad, T.A.","contributorId":21791,"corporation":false,"usgs":true,"family":"Conrad","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":480466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frank, M.","contributorId":103396,"corporation":false,"usgs":true,"family":"Frank","given":"M.","email":"","affiliations":[],"preferred":false,"id":480470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christl, M.","contributorId":76626,"corporation":false,"usgs":true,"family":"Christl","given":"M.","email":"","affiliations":[],"preferred":false,"id":480469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sager, W.W.","contributorId":54487,"corporation":false,"usgs":true,"family":"Sager","given":"W.W.","email":"","affiliations":[],"preferred":false,"id":480467,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047256,"text":"70047256 - 2012 - Associations of benthic macroinvertebrate assemblages with environmental variables in the upper Clear Creek watershed, California","interactions":[],"lastModifiedDate":"2013-07-27T12:36:37","indexId":"70047256","displayToPublicDate":"2013-01-01T12:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Associations of benthic macroinvertebrate assemblages with environmental variables in the upper Clear Creek watershed, California","docAbstract":"Benthic macroinvertebrates are integral components of stream ecosystems and are often used to assess the ecological integrity of streams. We sampled streams in the upper Clear Creek drainage in the Klamath—Siskiyou Ecoregion of northwestern California in fall 2004 (17 sites) and 2005 (original 17 plus 4 new sites) with the objectives of documenting the benthic macroinvertebrate assemblages supported by the streams in the area, determining how those assemblages respond to environmental variables, assessing the biological condition of the streams using a benthic index of biotic integrity (IBI), and understanding the assemblages in the context of biodiversity of the ecoregion. We collected both reach-wide (RW) and targeted-riffle (TR) macroinvertebrate samples at each site. The macroinvertebrate assemblages were diverse, with over 150 genera collected for each sampling protocol. The macroinvertebrate assemblages appeared to be most responsive to a general habitat gradient based on stream size, gradient, flow, and dominance of riffles. A second important habitat gradient was based on elevation and dominance of riffles. A gradient in water quality based on concentrations of dissolved ions and metals was also important. Models based on these 3 gradients had Spearman's rank correlations with macroinvertebrate taxonomic composition of 0.60 and 0.50 for the TR and RW samples, respectively. The majority (>50%) of the sites were in good or very good biological condition based on IBI scores. The diversity of macroinvertebrate assemblages is associated with the diversity of habitats available in the Klamath—Siskiyou Ecoregion. Maintaining the aquatic habitats in good condition is important in itself but is also vital to maintaining biodiversity in this diverse and unique ecoregion.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Western North American Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.072.0406","usgsCitation":"Brown, L.R., May, J., and Wulff, M., 2012, Associations of benthic macroinvertebrate assemblages with environmental variables in the upper Clear Creek watershed, California: Western North American Naturalist, v. 72, no. 4, p. 473-494, https://doi.org/10.3398/064.072.0406.","productDescription":"22 p.","startPage":"473","endPage":"494","ipdsId":"IP-034234","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":488133,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol72/iss4/6","text":"External Repository"},{"id":275492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275480,"type":{"id":15,"text":"Index Page"},"url":"https://www.bioone.org/doi/abs/10.3398/064.072.0406"},{"id":275479,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3398/064.072.0406"}],"country":"United States","state":"California","otherGeospatial":"Upper Clear Creek Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.0 ], [ -114.13,42.0 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"72","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f4ebe2e4b0838938b2803d","contributors":{"authors":[{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"May, Jason T. 0000-0002-5699-2112","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":14791,"corporation":false,"usgs":true,"family":"May","given":"Jason T.","affiliations":[],"preferred":false,"id":481535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wulff, Marissa 0000-0003-0121-9066","orcid":"https://orcid.org/0000-0003-0121-9066","contributorId":88633,"corporation":false,"usgs":true,"family":"Wulff","given":"Marissa","affiliations":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"preferred":false,"id":481536,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046841,"text":"70046841 - 2012 - Step-changes in the physical, chemical and biological characteristics of the Gulf of Maine, as documented by the GNATS time series","interactions":[],"lastModifiedDate":"2013-07-15T11:58:10","indexId":"70046841","displayToPublicDate":"2013-01-01T11:54:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Step-changes in the physical, chemical and biological characteristics of the Gulf of Maine, as documented by the GNATS time series","docAbstract":"We identify step-changes in the physical, chemical and biological characteristics of the Gulf of Maine (GoM) using the Gulf of Maine North Atlantic Time Series (GNATS), a series of oceanographic measurements obtained between September 1998 and December 2010 along a transect in the GoM running from Portland, ME, to Yarmouth, NS. GNATS sampled a period of extremes in precipitation and river discharge (4 of the 8 wettest years of the last century occurred between 2005 and 2010). Coincident with increased precipitation, we observed the following shifts: (1) decreased salinity and density within the surface waters of the western GoM; (2) both reduced temperature and vertical temperature gradients in the upper 50 m; (3) increased colored dissolved organic matter (CDOM) concentrations and particle scattering in the western GoM; (4) increased concentrations of nitrate and phosphate across all but the eastern GoM; (5) increased silicate, particularly in the western GoM, with a sharp increase in the ratio of silicate to dissolved inorganic nitrogen; (6) sharply decreased carbon fixation by phytoplankton; (7) moderately decreased chlorophyll, particulate organic carbon (POC) and particulate inorganic carbon (PIC) in the central GoM and (8) decreased POC- and PIC-specific growth rates. Gulf-wide anomaly analyses suggest that (1) the surface density changes were predominantly driven by temperature, (2) dissolved nutrients, as well as POC/PON, varied in Redfield ratios and (3) anomalies for salinity, density, CDOM, particle backscattering and silicate were significantly correlated with river discharge. Precipitation and river discharge appear to be playing a critical role in controlling the long-term productivity of the Gulf of Maine by supplying CDOM and detrital material, which ultimately competes with phytoplankton for light absorption.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ecology Progress Series","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research","doi":"10.3354/meps09555","usgsCitation":"Balch, W.M., Drapeau, D., Bowler, B., and Huntington, T.G., 2012, Step-changes in the physical, chemical and biological characteristics of the Gulf of Maine, as documented by the GNATS time series: Marine Ecology Progress Series, v. 450, p. 11-35, https://doi.org/10.3354/meps09555.","productDescription":"25 p.","startPage":"11","endPage":"35","ipdsId":"IP-033967","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":474111,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps09555","text":"Publisher Index Page"},{"id":274978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274977,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps09555"}],"country":"United States","state":"Maine","otherGeospatial":"Gulf Of Maine","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.1074,41.526 ], [ -71.1074,44.8345 ], [ -65.6683,44.8345 ], [ -65.6683,41.526 ], [ -71.1074,41.526 ] ] ] } } ] }","volume":"450","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e519efe4b069f8d27ccb3a","contributors":{"authors":[{"text":"Balch, William M.","contributorId":54095,"corporation":false,"usgs":true,"family":"Balch","given":"William","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drapeau, D.T.","contributorId":64136,"corporation":false,"usgs":true,"family":"Drapeau","given":"D.T.","affiliations":[],"preferred":false,"id":480440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowler, B.C.","contributorId":45986,"corporation":false,"usgs":true,"family":"Bowler","given":"B.C.","email":"","affiliations":[],"preferred":false,"id":480438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":1884,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480437,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047182,"text":"70047182 - 2012 - Ancient impact and aqueous processes at Endeavour Crater, Mars","interactions":[],"lastModifiedDate":"2018-11-14T11:15:46","indexId":"70047182","displayToPublicDate":"2013-01-01T11:32:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Ancient impact and aqueous processes at Endeavour Crater, Mars","docAbstract":"The rover Opportunity has investigated the rim of Endeavour Crater, a large ancient impact crater on Mars. Basaltic breccias produced by the impact form the rim deposits, with stratigraphy similar to that observed at similar-sized craters on Earth. Highly localized zinc enrichments in some breccia materials suggest hydrothermal alteration of rim deposits. Gypsum-rich veins cut sedimentary rocks adjacent to the crater rim. The gypsum was precipitated from low-temperature aqueous fluids flowing upward from the ancient materials of the rim, leading temporarily to potentially habitable conditions and providing some of the waters involved in formation of the ubiquitous sulfate-rich sandstones of the Meridiani region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Science","doi":"10.1126/science.1220476","usgsCitation":"Squyres, S.W., Arvidson, R., Bell, J., Calef, F., Clark, B.C., Cohen, B.A., Crumpler, L., de Souza, P.A., Farrand, W.H., Gellert, R., Grant, J., Herkenhoff, K.E., Hurowitz, J., Johnson, J.R., Jolliff, B., Knoll, A., Li, R., McLennan, S.M., Ming, D.W., Mittlefehldt, D.W., Parker, T.J., Paulsen, G., Rice, M., Ruff, S.W., Schroder, C., Yen, A.S., and Zacny, K., 2012, Ancient impact and aqueous processes at Endeavour Crater, Mars: Science, v. 336, no. 6081, p. 570-576, https://doi.org/10.1126/science.1220476.","productDescription":"7 p.","startPage":"570","endPage":"576","ipdsId":"IP-037245","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":474116,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:10735581","text":"External Repository"},{"id":275346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"336","issue":"6081","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f0f75fe4b04309f4e38cff","contributors":{"authors":[{"text":"Squyres, S. W.","contributorId":31836,"corporation":false,"usgs":true,"family":"Squyres","given":"S.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":481265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arvidson, R. E.","contributorId":46666,"corporation":false,"usgs":true,"family":"Arvidson","given":"R. E.","affiliations":[],"preferred":false,"id":481272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, J.F. III","contributorId":97612,"corporation":false,"usgs":true,"family":"Bell","given":"J.F.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":481286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calef, F.J. III","contributorId":91068,"corporation":false,"usgs":true,"family":"Calef","given":"F.J.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":481282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, B. C.","contributorId":39918,"corporation":false,"usgs":true,"family":"Clark","given":"B.","middleInitial":"C.","affiliations":[],"preferred":false,"id":481269,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cohen, B. A.","contributorId":34239,"corporation":false,"usgs":true,"family":"Cohen","given":"B.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":481266,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Crumpler, L.A.","contributorId":44065,"corporation":false,"usgs":true,"family":"Crumpler","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":481270,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"de Souza, P. A. Jr.","contributorId":45174,"corporation":false,"usgs":true,"family":"de Souza","given":"P.","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":481271,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Farrand, W. H.","contributorId":64372,"corporation":false,"usgs":true,"family":"Farrand","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":481277,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gellert, Ralf","contributorId":35049,"corporation":false,"usgs":false,"family":"Gellert","given":"Ralf","email":"","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":481267,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Grant, J.","contributorId":53929,"corporation":false,"usgs":true,"family":"Grant","given":"J.","affiliations":[],"preferred":false,"id":481273,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":481275,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hurowitz, J.A.","contributorId":10994,"corporation":false,"usgs":true,"family":"Hurowitz","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":481262,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Johnson, J. R.","contributorId":69278,"corporation":false,"usgs":true,"family":"Johnson","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":481279,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Jolliff, B.L.","contributorId":21268,"corporation":false,"usgs":true,"family":"Jolliff","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":481263,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Knoll, A.H.","contributorId":84885,"corporation":false,"usgs":true,"family":"Knoll","given":"A.H.","email":"","affiliations":[],"preferred":false,"id":481281,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Li, R.","contributorId":68441,"corporation":false,"usgs":true,"family":"Li","given":"R.","affiliations":[],"preferred":false,"id":481278,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"McLennan, S. 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J.","contributorId":30776,"corporation":false,"usgs":false,"family":"Parker","given":"T.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":481264,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Paulsen, G.","contributorId":94192,"corporation":false,"usgs":true,"family":"Paulsen","given":"G.","email":"","affiliations":[],"preferred":false,"id":481283,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Rice, M.S.","contributorId":105027,"corporation":false,"usgs":true,"family":"Rice","given":"M.S.","affiliations":[],"preferred":false,"id":481288,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Ruff, S. W.","contributorId":63136,"corporation":false,"usgs":false,"family":"Ruff","given":"S.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":481276,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Schroder, C.","contributorId":98200,"corporation":false,"usgs":true,"family":"Schroder","given":"C.","email":"","affiliations":[],"preferred":false,"id":481287,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Yen, A. S.","contributorId":35860,"corporation":false,"usgs":true,"family":"Yen","given":"A.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":481268,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Zacny, K.","contributorId":72279,"corporation":false,"usgs":true,"family":"Zacny","given":"K.","affiliations":[],"preferred":false,"id":481280,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}}
,{"id":70045145,"text":"70045145 - 2012 - Analysis of rainfall-induced slope instability using a field of local factor of safety","interactions":[],"lastModifiedDate":"2018-03-08T15:55:10","indexId":"70045145","displayToPublicDate":"2013-01-01T11:23:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of rainfall-induced slope instability using a field of local factor of safety","docAbstract":"Slope-stability analyses are mostly conducted by identifying or assuming a potential failure surface and assessing the factor of safety (FS) of that surface. This approach of assigning a single FS to a potentially unstable slope provides little insight on where the failure initiates or the ultimate geometry and location of a landslide rupture surface. We describe a method to quantify a scalar field of FS based on the concept of the Coulomb stress and the shift in the state of stress toward failure that results from rainfall infiltration. The FS at each point within a hillslope is called the local factor of safety (LFS) and is defined as the ratio of the Coulomb stress at the current state of stress to the Coulomb stress of the potential failure state under the Mohr-Coulomb criterion. Comparative assessment with limit-equilibrium and hybrid finite element limit-equilibrium methods show that the proposed LFS is consistent with these approaches and yields additional insight into the geometry and location of the potential failure surface and how instability may initiate and evolve with changes in pore water conditions. Quantitative assessments applying the new LFS field method to slopes under infiltration conditions demonstrate that the LFS has the potential to overcome several major limitations in the classical FS methodologies such as the shape of the failure surface and the inherent underestimation of slope instability. Comparison with infinite-slope methods, including a recent extension to variably saturated conditions, shows further enhancement in assessing shallow landslide occurrence using the LFS methodology. Although we use only a linear elastic solution for the state of stress with no post-failure analysis that require more sophisticated elastoplastic or other theories, the LFS provides a new means to quantify the potential instability zones in hillslopes under variably saturated conditions using stress-field based methods.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1029/2012WR011830","usgsCitation":"Lu, N., Şener-Kaya, B., Wayllace, A., and Godt, J.W., 2012, Analysis of rainfall-induced slope instability using a field of local factor of safety: Water Resources Research, v. 48, no. 9, W09524, https://doi.org/10.1029/2012WR011830.","productDescription":"W09524","ipdsId":"IP-040508","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":275626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275625,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012WR011830"}],"volume":"48","issue":"9","noUsgsAuthors":false,"publicationDate":"2012-09-18","publicationStatus":"PW","scienceBaseUri":"51fa31e2e4b076c3a8d8263a","contributors":{"authors":[{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":476932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Şener-Kaya, Başak","contributorId":44445,"corporation":false,"usgs":true,"family":"Şener-Kaya","given":"Başak","affiliations":[],"preferred":false,"id":476933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wayllace, Alexandra","contributorId":23044,"corporation":false,"usgs":true,"family":"Wayllace","given":"Alexandra","affiliations":[],"preferred":false,"id":476931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476930,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046806,"text":"70046806 - 2012 - A remote-sensing, GIS-based approach to identify, characterize, and model spawning habitat for fall-run chum salmon in a sub-arctic, glacially fed river","interactions":[],"lastModifiedDate":"2013-07-09T11:25:25","indexId":"70046806","displayToPublicDate":"2013-01-01T11:15:00","publicationYear":"2012","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":"A remote-sensing, GIS-based approach to identify, characterize, and model spawning habitat for fall-run chum salmon in a sub-arctic, glacially fed river","docAbstract":"At northern limits of a species’ distribution, fish habitat requirements are often linked to thermal preferences, and the presence of overwintering habitat. However, logistical challenges and hydrologic processes typical of glacial systems could compromize the identification of these habitats, particularly in large river environments. Our goal was to identify and characterize spawning habitat for fall-run chum salmon Oncorhynchus keta and model habitat selection from spatial distributions of tagged individuals in the Tanana River, Alaska using an approach that combined ground surveys with remote sensing. Models included braiding, sinuosity, ice-free water surface area (indicating groundwater influence), and persistent ice-free water (i.e., consistent presence of ice-free water for a 12-year period according to satellite imagery). Candidate models containing persistent ice-free water were selected as most likely, highlighting the utility of remote sensing for monitoring and identifying salmon habitat in remote areas. A combination of ground and remote surveys revealed spatial and temporal thermal characteristics of these habitats that could have strong biological implications. Persistent ice-free sites identified using synthetic aperture radar appear to serve as core areas for spawning fall chum salmon, and the importance of stability through time suggests a legacy of successful reproductive effort for this homing species. These features would not be captured with a one-visit traditional survey but rather required remote-sensing monitoring of the sites through time.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.692348","usgsCitation":"Wirth, L., Rosenberger, A., Prakash, A., Gens, R., Margraf, F.J., and Hamazaki, T., 2012, A remote-sensing, GIS-based approach to identify, characterize, and model spawning habitat for fall-run chum salmon in a sub-arctic, glacially fed river: Transactions of the American Fisheries Society, v. 141, no. 5, p. 1349-1363, https://doi.org/10.1080/00028487.2012.692348.","productDescription":"15 p.","startPage":"1349","endPage":"1363","ipdsId":"IP-039186","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":274752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274749,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.692348"}],"volume":"141","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-08-30","publicationStatus":"PW","scienceBaseUri":"51dd30e4e4b0f72b44719c3d","contributors":{"authors":[{"text":"Wirth, Lisa","contributorId":24671,"corporation":false,"usgs":true,"family":"Wirth","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":480306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda","contributorId":45609,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","affiliations":[],"preferred":false,"id":480309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prakash, Anupma","contributorId":41101,"corporation":false,"usgs":true,"family":"Prakash","given":"Anupma","affiliations":[],"preferred":false,"id":480307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gens, Rudiger","contributorId":54490,"corporation":false,"usgs":true,"family":"Gens","given":"Rudiger","email":"","affiliations":[],"preferred":false,"id":480310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Margraf, F. Joseph jmargraf@usgs.gov","contributorId":257,"corporation":false,"usgs":true,"family":"Margraf","given":"F.","email":"jmargraf@usgs.gov","middleInitial":"Joseph","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":480305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hamazaki, Toshihide","contributorId":41723,"corporation":false,"usgs":true,"family":"Hamazaki","given":"Toshihide","email":"","affiliations":[],"preferred":false,"id":480308,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70042683,"text":"70042683 - 2012 - On the use of wave parameterizations and a storm impact scaling model in National Weather Service Coastal Flood and decision support operations","interactions":[],"lastModifiedDate":"2013-07-09T10:45:54","indexId":"70042683","displayToPublicDate":"2013-01-01T10:38:46","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"On the use of wave parameterizations and a storm impact scaling model in National Weather Service Coastal Flood and decision support operations","docAbstract":"National Weather Service (NWS) Weather Forecast Offices (WFO) are responsible for issuing coastal flood watches, warnings, advisories, and local statements to alert decision makers and the general public when rising water levels may lead to coastal impacts such as inundation, erosion, and wave battery. Both extratropical and tropical cyclones can generate the prerequisite rise in water level to set the stage for a coastal impact event. Forecasters use a variety of tools including computer model guidance and local studies to help predict the potential severity of coastal flooding. However, a key missing component has been the incorporation of the effects of waves in the prediction of total water level and the associated coastal impacts.\n\nSeveral recent studies have demonstrated the importance of incorporating wave action into the NWS coastal flood program. To follow up on these studies, this paper looks at the potential of applying recently developed empirical parameterizations of wave setup, swash, and runup to the NWS forecast process. Additionally, the wave parameterizations are incorporated into a storm impact scaling model that compares extreme water levels to beach elevation data to determine the mode of coastal change at predetermined “hotspots” of interest. Specifically, the storm impact model compares the approximate storm-induced still water level, which includes contributions from tides, storm surge, and wave setup, to dune crest elevation to determine inundation potential. The model also compares the combined effects of tides, storm surge, and the 2 % exceedance level for vertical wave runup (including both wave setup and swash) to dune toe and crest elevations to determine if erosion and/or ocean overwash may occur. The wave parameterizations and storm impact model are applied to two cases in 2009 that led to significant coastal impacts and unique forecast challenges in North Carolina: the extratropical “Nor'Ida” event during 11-14 November and the large swell event from distant Hurricane Bill on 22 August. The coastal impacts associated with Nor'Ida were due to the combined effects of surge, tide, and wave processes and led to an estimated 5.8 million dollars in damage. While the impacts from Hurricane Bill were not as severe as Nor'Ida, they were mainly associated with wave processes. Thus, this event exemplifies the importance of incorporating waves into the total water level and coastal impact prediction process. These examples set the stage for potential future applications including adaption to the more complex topography along the New England coast.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"92nd American Meteorological Society Annual Meeting, January 22-26, 2012","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Meteorological Society","usgsCitation":"Mignone, A., Stockdon, H., Willis, M., Cannon, J., and Thompson, R., 2012, On the use of wave parameterizations and a storm impact scaling model in National Weather Service Coastal Flood and decision support operations, <i>in</i> 92nd American Meteorological Society Annual Meeting, January 22-26, 2012, 9 p.","productDescription":"9 p.","ipdsId":"IP-034554","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":274744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274743,"type":{"id":15,"text":"Index Page"},"url":"https://ams.confex.com/ams/92Annual/webprogram/Paper196615.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dd30eee4b0f72b44719cb2","contributors":{"authors":[{"text":"Mignone, Anthony","contributorId":77825,"corporation":false,"usgs":true,"family":"Mignone","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":472050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stockdon, H.","contributorId":71351,"corporation":false,"usgs":true,"family":"Stockdon","given":"H.","affiliations":[],"preferred":false,"id":472049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willis, M.","contributorId":82910,"corporation":false,"usgs":true,"family":"Willis","given":"M.","email":"","affiliations":[],"preferred":false,"id":472051,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cannon, J.W.","contributorId":39676,"corporation":false,"usgs":true,"family":"Cannon","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":472048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, R.","contributorId":103444,"corporation":false,"usgs":true,"family":"Thompson","given":"R.","affiliations":[],"preferred":false,"id":472052,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70102819,"text":"70102819 - 2012 - Methods for simulating solute breakthrough curves in pumping groundwater wells","interactions":[],"lastModifiedDate":"2018-02-08T09:38:54","indexId":"70102819","displayToPublicDate":"2013-01-01T10:05:41","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Methods for simulating solute breakthrough curves in pumping groundwater wells","docAbstract":"In modeling there is always a trade-off between execution time and accuracy. For gradient-based parameter estimation methods, where a simulation model is run repeatedly to populate a Jacobian (sensitivity) matrix, there exists a need for rapid simulation methods of known accuracy that can decrease execution time, and thus make the model more useful without sacrificing accuracy. Convolution-based methods can be executed rapidly for any desired input function once the residence-time distribution is known. The residence-time distribution can be calculated efficiently using particle tracking, but particle tracking can be ambiguous near a pumping well if the grid is too coarse. We present several embedded analytical expressions for improving particle tracking near a pumping well and compare them with a finely gridded finite-difference solution in terms of accuracy and CPU usage. Even though the embedded analytical approach can improve particle tracking near a well, particle methods reduce, but do not eliminate, reliance on a grid because velocity fields typically are calculated on a grid, and additional error is incurred using linear interpolation of velocity. A dilution rate can be calculated for a given grid and pumping well to determine if the grid is sufficiently refined. Embedded analytical expressions increase accuracy but add significantly to CPU usage. Structural error introduced by the numerical solution method may affect parameter estimates.","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2012.01.011","usgsCitation":"Starn, J.J., Bagtzoglou, A., and Robbins, G.A., 2012, Methods for simulating solute breakthrough curves in pumping groundwater wells: Computers & Geosciences, v. 48, p. 244-255, https://doi.org/10.1016/j.cageo.2012.01.011.","productDescription":"12 p.","startPage":"244","endPage":"255","ipdsId":"IP-029160","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":286685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286684,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.cageo.2012.01.011"}],"volume":"48","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535f786fe4b078dca33ae37d","contributors":{"authors":[{"text":"Starn, J. Jeffrey","contributorId":101617,"corporation":false,"usgs":true,"family":"Starn","given":"J.","email":"","middleInitial":"Jeffrey","affiliations":[],"preferred":false,"id":493022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagtzoglou, Amvrossios C.","contributorId":30146,"corporation":false,"usgs":true,"family":"Bagtzoglou","given":"Amvrossios C.","affiliations":[],"preferred":false,"id":493020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robbins, Gary A.","contributorId":41743,"corporation":false,"usgs":true,"family":"Robbins","given":"Gary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493021,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047005,"text":"70047005 - 2012 - A historical estimate of apparent survival of American oystercatcher (Haematopus palliatus) in Virginia","interactions":[],"lastModifiedDate":"2021-01-05T19:05:14.72053","indexId":"70047005","displayToPublicDate":"2013-01-01T10:03:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"A historical estimate of apparent survival of American oystercatcher (Haematopus palliatus) in Virginia","docAbstract":"Using mark-recapture models, apparent survival was estimated from older banding and re-sighting data (1978–1983) of American Oystercatchers (Haematopus palliatus) nesting on beaches and in salt marshes of coastal Virginia, USA. Oystercatchers nesting in salt marshes exhibited higher apparent survival (0.94 ±0.03) than birds nesting on beaches (0.81 ±0.06), a difference due to variation in mortality, permanent emigration, or both. Nesting on exposed barrier beaches may subject adults and young to higher risk of predation. These early estimates of adult survival for a species that is heavily monitored along the Atlantic and Gulf Coasts can be used to (1) develop demographic models to determine population stability, (2) compare with estimates of adult survival from populations that have reached carrying capacity, and (3) compare with estimates of survival from other oystercatcher populations and species.","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.035.0412","usgsCitation":"Nol, E., Murphy, S.P., and Cadman, M.D., 2012, A historical estimate of apparent survival of American oystercatcher (Haematopus palliatus) in Virginia: Waterbirds, v. 35, no. 4, p. 631-635, https://doi.org/10.1675/063.035.0412.","productDescription":"5 p.","startPage":"631","endPage":"635","ipdsId":"IP-039671","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":381892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.6754,36.5408 ], [ -83.6754,39.466 ], [ -75.2422,39.466 ], [ -75.2422,36.5408 ], [ -83.6754,36.5408 ] ] ] } } ] }","volume":"35","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e519e2e4b069f8d27cca83","contributors":{"authors":[{"text":"Nol, Erica","contributorId":38459,"corporation":false,"usgs":true,"family":"Nol","given":"Erica","affiliations":[],"preferred":false,"id":480845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Sean P.","contributorId":50067,"corporation":false,"usgs":true,"family":"Murphy","given":"Sean","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":480846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cadman, Michael D.","contributorId":28146,"corporation":false,"usgs":true,"family":"Cadman","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":480844,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70074379,"text":"70074379 - 2012 - Geology and sequence stratigraphy of undiscovered oil and gas resources in conventional and continuous petroleum systems in the Upper Cretaceous Eagle Ford Group and related strata, U.S. Gulf Coast Region","interactions":[],"lastModifiedDate":"2014-05-27T10:28:35","indexId":"70074379","displayToPublicDate":"2013-01-01T09:42:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1871,"text":"Gulf Coast Association of Geological Societies Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Geology and sequence stratigraphy of undiscovered oil and gas resources in conventional and continuous petroleum systems in the Upper Cretaceous Eagle Ford Group and related strata, U.S. Gulf Coast Region","docAbstract":"The U.S. Geological Survey (USGS) recently assessed the technically recoverable undiscovered oil and gas onshore and in State waters of the Gulf Coast region of the United States. The USGS defined three assessment units (AUs) with potential undiscovered conventional and continuous oil and gas resources in Upper Cretaceous (Cenomanian to Turonian) strata of the Eagle Ford Group and correlative rocks. The assessment is based on geologic elements of a total petroleum system, including hydrocarbon source rocks (source rock maturation, hydrocarbon generation and migration), reservoir rocks (sequence stratigraphy and petrophysical properties), and traps (formation, timing, and seals). Conventional oil and gas undiscovered resources are in updip sandstone reservoirs in the Upper Cretaceous Tuscaloosa and Woodbine Formations (or Groups) in Louisiana and Texas, respectively, whereas continuous oil and continuous gas undiscovered resources reside in the middip and downdip Upper Cretaceous Eagle Ford Shale in Texas and the Tuscaloosa marine shale in Louisiana. Conventional resources in the Tuscaloosa and Woodbine are included in the Eagle Ford Updip Sandstone Oil and Gas AU, in an area where the Eagle Ford Shale and Tuscaloosa marine shale display vitrinite reflectance (Ro) values less than 0.6%. The continuous Eagle Ford Shale Oil AU lies generally south of the conventional AU, is primarily updip of the Lower Cretaceous shelf edge, and is defined by thermal maturity values within shales of the Eagle Ford and Tuscaloosa that range from 0.6 to 1.2% Ro. Similarly, the Eagle Ford Shale Gas AU is defined downdip of the shelf edge where source rocks have Ro values greater than 1.2%. For undiscovered oil and gas resources, the USGS assessed means of: 1) 141 million barrels of oil (MMBO), 502 billion cubic feet of natural gas (BCFG), and 4 million barrels of natural gas liquids (MMBNGL) in the Eagle Ford Updip Sandstone Oil and Gas AU; 2) 853 MMBO, 1707 BCFG, and 34 MMBNGL in the Eagle Ford Shale Oil AU; and 3) 50,219 BCFG and 2009 MMBNGL in the Eagle Ford Shale Gas AU.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Gulf Coast Association of Geological Societies Transactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Gulf Coast Association of Geological Societies","publisherLocation":"New Orleans, LA","usgsCitation":"Dubiel, R.F., Pearson, O.N., Pitman, J.K., Pearson, K.M., and Kinney, S.A., 2012, Geology and sequence stratigraphy of undiscovered oil and gas resources in conventional and continuous petroleum systems in the Upper Cretaceous Eagle Ford Group and related strata, U.S. Gulf Coast Region: Gulf Coast Association of Geological Societies Transactions, v. 62, p. 57-72.","productDescription":"16 p.","startPage":"57","endPage":"72","numberOfPages":"16","ipdsId":"IP-037167","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":287584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281658,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/gcags/data/062/062001/57_gcags620057.htm"}],"country":"United States","state":"Louisiana;Texas","otherGeospatial":"Gulf Coast","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.16,23.01 ], [ -104.16,39.44 ], [ -76.76,39.44 ], [ -76.76,23.01 ], [ -104.16,23.01 ] ] ] } } ] }","volume":"62","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385b3f6e4b09e18fc023a4e","contributors":{"authors":[{"text":"Dubiel, Russell F. 0000-0002-1280-0350 rdubiel@usgs.gov","orcid":"https://orcid.org/0000-0002-1280-0350","contributorId":1294,"corporation":false,"usgs":true,"family":"Dubiel","given":"Russell","email":"rdubiel@usgs.gov","middleInitial":"F.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearson, Ofori N. 0000-0002-9550-1128 opearson@usgs.gov","orcid":"https://orcid.org/0000-0002-9550-1128","contributorId":1680,"corporation":false,"usgs":true,"family":"Pearson","given":"Ofori","email":"opearson@usgs.gov","middleInitial":"N.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489542,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearson, Krystal M. kpearson@usgs.gov","contributorId":3861,"corporation":false,"usgs":true,"family":"Pearson","given":"Krystal","email":"kpearson@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489546,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kinney, Scott A. 0000-0001-5008-5813 skinney@usgs.gov","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":1395,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"skinney@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489544,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046850,"text":"70046850 - 2012 - Emerging contaminants at a closed and an operating landfill in Oklahoma","interactions":[],"lastModifiedDate":"2020-02-26T17:38:40","indexId":"70046850","displayToPublicDate":"2013-01-01T09:26:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1866,"text":"Groundwater Monitoring & Remediation","active":true,"publicationSubtype":{"id":10}},"title":"Emerging contaminants at a closed and an operating landfill in Oklahoma","docAbstract":"Landfills are the final depositories for a wide range of solid waste from both residential and commercial sources, and therefore have the potential to produce leachate containing many organic compounds found in consumer products such as pharmaceuticals, plasticizers, disinfectants, cleaning agents, fire retardants, flavorings, and preservatives, known as emerging contaminants (ECs). Landfill leachate was sampled from landfill cells of three different age ranges from two landfills in Central Oklahoma. Samples were collected from an old cell containing solid waste greater than 25 years old, an intermediate age cell with solid waste between 16 and 3 years old, and operating cell with solid waste less than 5 years old to investigate the chemical variability and persistence of selected ECs in landfill leachate of differing age sources. Twenty-eight of 69 analyzed ECs were detected in one or more samples from the three leachate sources. Detected ECs ranged in concentration from 0.11 to 114 μg/L and included 4 fecal and plant sterols, 13 household\\industrial, 7 hydrocarbon, and 4 pesticide compounds. Four ECs were solely detected in the oldest leachate sample, two ECs were solely detected in the intermediate leachate sample, and no ECs were solely detected in the youngest leachate sample. Eleven ECs were commonly detected in all three leachate samples and are an indication of the contents of solid waste deposited over several decades and the relative resistance of some ECs to natural attenuation processes in and near landfills.","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6592.2011.01373.x","usgsCitation":"Andrews, W.J., Masoner, J.R., and Cozzarelli, I.M., 2012, Emerging contaminants at a closed and an operating landfill in Oklahoma: Groundwater Monitoring & Remediation, v. 32, no. 1, p. 120-130, https://doi.org/10.1111/j.1745-6592.2011.01373.x.","productDescription":"11 p.","startPage":"120","endPage":"130","ipdsId":"IP-029569","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":274733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70048115,"text":"70048115 - 2012 - Modeling responses of large-river fish populations to global climate change through downscaling and incorporation of predictive uncertainty","interactions":[],"lastModifiedDate":"2017-05-23T16:29:45","indexId":"70048115","displayToPublicDate":"2013-01-01T09:24:42","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling responses of large-river fish populations to global climate change through downscaling and incorporation of predictive uncertainty","docAbstract":"Climate change operates over a broad range of spatial and temporal scales.   Understanding its effects on ecosystems requires multi-scale models. For understanding effects on fish populations of riverine ecosystems, climate predicted by coarse-resolution Global Climate Models must be downscaled to Regional Climate Models to watersheds to river hydrology to population response. An additional challenge is quantifying sources of uncertainty given the highly nonlinear nature of interactions between climate variables and community level processes. We present a modeling approach for understanding and accomodating uncertainty by applying multi-scale climate models and a hierarchical Bayesian modeling framework to Midwest fish population dynamics and by linking models for system components together by formal rules of probability. The proposed hierarchical modeling approach will account for sources of uncertainty in forecasts of community or population response. The goal is to evaluate the potential distributional changes in an ecological system, given distributional changes implied by a series of linked climate and system models under various emissions/use scenarios. This understanding will aid evaluation of management options for coping with global climate change. In our initial analyses, we found that predicted pallid sturgeon population responses were dependent on the climate scenario considered.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"9th International Symposium on Ecohydraulics 2012 Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","usgsCitation":"Wildhaber, M.L., Wikle, C.K., Anderson, C.J., Franz, K.J., Moran, E.H., and Dey, R., 2012, Modeling responses of large-river fish populations to global climate change through downscaling and incorporation of predictive uncertainty, <i>in</i> 9th International Symposium on Ecohydraulics 2012 Proceedings, 8 p.","productDescription":"8 p.","numberOfPages":"8","ipdsId":"IP-035667","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":287648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5387056ee4b0aa26cd7b53d1","contributors":{"editors":[{"text":"Mader, Helmut","contributorId":111577,"corporation":false,"usgs":true,"family":"Mader","given":"Helmut","email":"","affiliations":[],"preferred":false,"id":509597,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Kraml, Julia","contributorId":112880,"corporation":false,"usgs":true,"family":"Kraml","given":"Julia","email":"","affiliations":[],"preferred":false,"id":509598,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":483779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wikle, Christopher K.","contributorId":55680,"corporation":false,"usgs":true,"family":"Wikle","given":"Christopher","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":483783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Christopher J.","contributorId":11516,"corporation":false,"usgs":true,"family":"Anderson","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":483781,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Franz, Kristie J.","contributorId":36061,"corporation":false,"usgs":true,"family":"Franz","given":"Kristie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":483782,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moran, Edward H. emoran@usgs.gov","contributorId":5445,"corporation":false,"usgs":true,"family":"Moran","given":"Edward","email":"emoran@usgs.gov","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":483780,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dey, Rima","contributorId":81210,"corporation":false,"usgs":true,"family":"Dey","given":"Rima","email":"","affiliations":[],"preferred":false,"id":483784,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70115387,"text":"70115387 - 2012 - Assessing consumption of bioactive micro-particles by filter-feeding Asian carp","interactions":[],"lastModifiedDate":"2014-07-03T09:34:39","indexId":"70115387","displayToPublicDate":"2013-01-01T09:16:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2174,"text":"Journal of Aquaculture Research & Development","active":true,"publicationSubtype":{"id":10}},"title":"Assessing consumption of bioactive micro-particles by filter-feeding Asian carp","docAbstract":"Silver carp <i>Hypophthalmichthys molitrix</i> (SVC) and bighead carp <i>H. nobilis</i> (BHC) have impacted waters in the US since their escape. Current chemical controls for aquatic nuisance species are non-selective. Development of a bioactive micro-particle that exploits filter-feeding habits of SVC or BHC could result in a new control tool. It is not fully understood if SVC or BHC will consume bioactive micro-particles. Two discrete trials were performed to: 1) evaluate if SVC and BHC consume the candidate micro-particle formulation; 2) determine what size they consume; 3) establish methods to evaluate consumption of filter-feeders for future experiments. Both SVC and BHC were exposed to small (50-100 μm) and large (150-200 μm) micro-particles in two 24-h trials. Particles in water were counted electronically and manually (microscopy). Particles on gill rakers were counted manually and intestinal tracts inspected for the presence of micro-particles. In Trial 1, both manual and electronic count data confirmed reductions of both size particles; SVC appeared to remove more small particles than large; more BHC consumed particles; SVC had fewer overall particles in their gill rakers than BHC. In Trial 2, electronic counts confirmed reductions of both size particles; both SVC and BHC consumed particles, yet more SVC consumed micro-particles compared to BHC. Of the fish that ate micro-particles, SVC consumed more than BHC. It is recommended to use multiple metrics to assess consumption of candidate micro-particles by filter-feeders when attempting to distinguish differential particle consumption. This study has implications for developing micro-particles for species-specific delivery of bioactive controls to help fisheries, provides some methods for further experiments with bioactive micro-particles, and may also have applications in aquaculture.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Aquaculture Research & Development","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"OMICS Publishing Group","doi":"10.4172/2155-9546.1000126","usgsCitation":"Jensen, N.R., Amberg, J., Luoma, J.A., Walleser, L.R., and Gaikowski, M.P., 2012, Assessing consumption of bioactive micro-particles by filter-feeding Asian carp: Journal of Aquaculture Research & Development, v. 3, no. 2, 6 p., https://doi.org/10.4172/2155-9546.1000126.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-035603","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":488255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.4172/2155-9546.1000126","text":"Publisher Index Page"},{"id":289413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289399,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4172/2155-9546.1000126"},{"id":289400,"type":{"id":15,"text":"Index Page"},"url":"https://omicsonline.org/assessing-consumption-of-bioactive-micro-particles-by-filter-feeding-asian-carp-2155-9546.1000126.php?aid=5288"}],"volume":"3","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b67b64e4b014fc094d5459","contributors":{"authors":[{"text":"Jensen, Nathan R. njensen@usgs.gov","contributorId":3911,"corporation":false,"usgs":true,"family":"Jensen","given":"Nathan","email":"njensen@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":495616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amberg, Jon J. jamberg@usgs.gov","contributorId":797,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon J.","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":495615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":495618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walleser, Liza R. lwalleser@usgs.gov","contributorId":4329,"corporation":false,"usgs":true,"family":"Walleser","given":"Liza","email":"lwalleser@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":495617,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":796,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark","email":"mgaikowski@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":495614,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045471,"text":"70045471 - 2012 - Conflicts between sandhill cranes and farmers in the western United States: evolving issues and solutions","interactions":[],"lastModifiedDate":"2017-08-31T11:34:58","indexId":"70045471","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Conflicts between sandhill cranes and farmers in the western United States: evolving issues and solutions","docAbstract":"The main conflicts between Sandhill Cranes (Grus canadensis) and farmers in western United States occur in the Rocky Mountain region during migration and wintering periods. Most crop damage by cranes occurs in mature wheat (Triticum aestivum) and barley (Hordeum vulgare), young shoots of alfalfa (Medicago sativa) and cereal grains, chilies (Capsicum annuum), and silage corn (Zea mays). Damage is related to proximity of crop fields to roost sites and timing of crane concentrations relative to crop maturity or vulnerability. The evolution of conflicts between farmers and cranes and current solutions are described for two areas of the Rocky Mountains used by staging, migrating, or wintering cranes: Grays Lake, Idaho, and the Middle Rio Grande Valley, New Mexico. In both areas, conflicts with growing crane populations were aggravated by losses of wetlands and cropland, proximity of crops to roosts and other wetland areas, changing crop types and practices, and increasing urbanization. At Grays Lake, fall-staging cranes damaged barley fields near an important breeding refuge as well as fields 15-50 km away. In the Middle Rio Grande Valley, migrating and wintering cranes damaged young alfalfa fields, chilies, and silage corn. Solutions in both areas have been addressed through cooperative efforts among federal and state agencies, that manage wetlands and croplands to increase food availability and carrying capacity on public lands, provide hazing programs for private landowners, and strategically target crane hunting to problem areas. Sustaining the success of these programs will be challenging. Areas important to Sandhill Cranes in the western United Sates experience continued loss of habitat and food resources due to urbanization, changes in agricultural crops and practices, and water-use conflicts, which threaten the abilities of both public and private landowners to manage wetlands and croplands for cranes. Conservation of habitats and water resources are important to support crane populations and minimize future conflicts with agriculture.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Cranes, Agriculture and Climate Change, May 28 - June 3, 2010, Muraviovka Park for Sustainable Land Use, Amur Region, Russia","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Crane Foundation","publisherLocation":"Baraboo, WI","usgsCitation":"Austin, J., 2012, Conflicts between sandhill cranes and farmers in the western United States: evolving issues and solutions, <i>in</i> Cranes, Agriculture and Climate Change, May 28 - June 3, 2010, Muraviovka Park for Sustainable Land Use, Amur Region, Russia, p. 131-139.","productDescription":"9 p.","startPage":"131","endPage":"139","ipdsId":"IP-022697","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":273709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273708,"type":{"id":15,"text":"Index Page"},"url":"https://www.savingcranes.org/cranes-agriculture-and-climate-change.html"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51bc3b63e4b0c04034a01ca2","contributors":{"authors":[{"text":"Austin, Jane E.","contributorId":43094,"corporation":false,"usgs":true,"family":"Austin","given":"Jane E.","affiliations":[],"preferred":false,"id":477579,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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