{"pageNumber":"1405","pageRowStart":"35100","pageSize":"25","recordCount":165242,"records":[{"id":70047159,"text":"70047159 - 2013 - Updating the planetary time scale: focus on Mars","interactions":[],"lastModifiedDate":"2013-10-30T11:22:11","indexId":"70047159","displayToPublicDate":"2013-09-23T13:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1238,"text":"Ciencias Da Terra","active":true,"publicationSubtype":{"id":10}},"title":"Updating the planetary time scale: focus on Mars","docAbstract":"Formal stratigraphic systems have been developed for the surface materials of the Moon, Mars, Mercury, and the Galilean satellite Ganymede. These systems are based on geologic mapping, which establishes relative ages of surfaces delineated by superposition, morphology, impact crater densities, and other relations and features. Referent units selected from the mapping determine time-stratigraphic bases and/or representative materials characteristic of events and periods for definition of chronologic units. Absolute ages of these units in some cases can be estimated using crater size-frequency data. For the Moon, the chronologic units and cratering record are calibrated by radiometric ages measured from samples collected from the lunar surface. Model ages for other cratered planetary surfaces are constructed primarily by estimating cratering rates relative to that of the Moon. Other cratered bodies with estimated surface ages include Venus and the Galilean satellites of Jupiter. New global geologic mapping and crater dating studies of Mars are resulting in more accurate and detailed reconstructions of its geologic history.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ciencias Da Terra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Department of Earth Sciences Lisbon University","usgsCitation":"Tanaka, K.L., and Quantin-Nataf, C., 2013, Updating the planetary time scale: focus on Mars: Ciencias Da Terra.","ipdsId":"IP-044682","costCenters":[],"links":[{"id":278011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278012,"type":{"id":11,"text":"Document"},"url":"https://www.cienciasdaterra.com/index.php/vol/article/view/278"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"524154fce4b0ec672f073ac7","contributors":{"authors":[{"text":"Tanaka, Kenneth L. ktanaka@usgs.gov","contributorId":610,"corporation":false,"usgs":true,"family":"Tanaka","given":"Kenneth","email":"ktanaka@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":481187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quantin-Nataf, Cathy","contributorId":26615,"corporation":false,"usgs":true,"family":"Quantin-Nataf","given":"Cathy","email":"","affiliations":[],"preferred":false,"id":481188,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048358,"text":"70048358 - 2013 - SSR_pipeline: a bioinformatic infrastructure for identifying microsatellites from paired-end Illumina high-throughput DNA sequencing data","interactions":[],"lastModifiedDate":"2013-10-23T14:54:22","indexId":"70048358","displayToPublicDate":"2013-09-23T12:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2333,"text":"Journal of Heredity","active":true,"publicationSubtype":{"id":10}},"title":"SSR_pipeline: a bioinformatic infrastructure for identifying microsatellites from paired-end Illumina high-throughput DNA sequencing data","docAbstract":"SSR_pipeline is a flexible set of programs designed to efficiently identify simple sequence repeats (e.g., microsatellites) from paired-end high-throughput Illumina DNA sequencing data. The program suite contains 3 analysis modules along with a fourth control module that can automate analyses of large volumes of data. The modules are used to 1) identify the subset of paired-end sequences that pass Illumina quality standards, 2) align paired-end reads into a single composite DNA sequence, and 3) identify sequences that possess microsatellites (both simple and compound) conforming to user-specified parameters. The microsatellite search algorithm is extremely efficient, and we have used it to identify repeats with motifs from 2 to 25bp in length. Each of the 3 analysis modules can also be used independently to provide greater flexibility or to work with FASTQ or FASTA files generated from other sequencing platforms (Roche 454, Ion Torrent, etc.). We demonstrate use of the program with data from the brine fly Ephydra packardi (Diptera: Ephydridae) and provide empirical timing benchmarks to illustrate program performance on a common desktop computer environment. We further show that the Illumina platform is capable of identifying large numbers of microsatellites, even when using unenriched sample libraries and a very small percentage of the sequencing capacity from a single DNA sequencing run. All modules from SSR_pipeline are implemented in the Python programming language and can therefore be used from nearly any computer operating system (Linux, Macintosh, and Windows).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Heredity","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/jhered/est056","usgsCitation":"Miller, M.P., Knaus, B.J., Mullins, T., and Haig, S.M., 2013, SSR_pipeline: a bioinformatic infrastructure for identifying microsatellites from paired-end Illumina high-throughput DNA sequencing data: Journal of Heredity, v. 104, no. 6, p. 881-885, https://doi.org/10.1093/jhered/est056.","productDescription":"5 p.","startPage":"881","endPage":"885","numberOfPages":"5","ipdsId":"IP-046152","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473525,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jhered/est056","text":"Publisher Index Page"},{"id":278009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278006,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1093/jhered/est056"},{"id":278007,"type":{"id":15,"text":"Index Page"},"url":"https://jhered.oxfordjournals.org/cgi/content/full/est056?"}],"volume":"104","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-09-19","publicationStatus":"PW","scienceBaseUri":"524154fce4b0ec672f073ac3","contributors":{"authors":[{"text":"Miller, Mark P. 0000-0003-1045-1772 mpmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1045-1772","contributorId":1967,"corporation":false,"usgs":true,"family":"Miller","given":"Mark","email":"mpmiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":484413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knaus, Brian J.","contributorId":107167,"corporation":false,"usgs":true,"family":"Knaus","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mullins, Thomas D.","contributorId":12819,"corporation":false,"usgs":true,"family":"Mullins","given":"Thomas D.","affiliations":[],"preferred":false,"id":484414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":484412,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048350,"text":"70048350 - 2013 - A fluid-driven earthquake swarm on the margin of the Yellowstone caldera","interactions":[],"lastModifiedDate":"2016-12-14T11:36:52","indexId":"70048350","displayToPublicDate":"2013-09-23T11:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"A fluid-driven earthquake swarm on the margin of the Yellowstone caldera","docAbstract":"Over the past several decades, the Yellowstone caldera has experienced frequent earthquake swarms and repeated cycles of uplift and subsidence, reflecting dynamic volcanic and tectonic processes. Here, we examine the detailed spatial-temporal evolution of the 2010 Madison Plateau swarm, which occurred near the northwest boundary of the Yellowstone caldera. To fully explore the evolution of the swarm, we integrated procedures for seismic waveform-based earthquake detection with precise double-difference relative relocation. Using cross-correlation of continuous seismic data and waveform templates constructed from cataloged events, we detected and precisely located 8710 earthquakes during the three-week swarm, nearly four times the number of events included in the standard catalog. This high-resolution analysis reveals distinct migration of earthquake activity over the course of the swarm. The swarm initiated abruptly on January 17, 2010 at about 10 km depth and expanded dramatically outward (both shallower and deeper) over time, primarily along a NNW-striking, ~55º ENE-dipping structure. To explain these characteristics, we hypothesize that the swarm was triggered by the rupture of a zone of confined high-pressure aqueous fluids into a pre-existing crustal fault system, prompting release of accumulated stress. The high-pressure fluid injection may have been accommodated by hybrid shear and dilatational failure, as is commonly observed in exhumed hydrothermally affected fault zones. This process has likely occurred repeatedly in Yellowstone as aqueous fluids exsolved from magma migrate into the brittle crust, and it may be a key element in the observed cycles of caldera uplift and subsidence.","language":"English","publisher":"AGU Publications","doi":"10.1002/jgrb.50362","usgsCitation":"Shelly, D.R., Hill, D.P., Massin, F., Farrell, J., Smith, R.B., and Taira, T., 2013, A fluid-driven earthquake swarm on the margin of the Yellowstone caldera: Journal of Geophysical Research B: Solid Earth, v. 118, no. 9, p. 4872-4886, https://doi.org/10.1002/jgrb.50362.","productDescription":"15 p.","startPage":"4872","endPage":"4886","numberOfPages":"15","ipdsId":"IP-049594","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473527,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50362","text":"Publisher Index Page"},{"id":278008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277990,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrb.50362"}],"country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.196747,44.199436 ], [ -111.196747,44.999767 ], [ -110.199051,44.999767 ], [ -110.199051,44.199436 ], [ -111.196747,44.199436 ] ] ] } } ] }","volume":"118","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-16","publicationStatus":"PW","scienceBaseUri":"524154cfe4b0ec672f073aa7","contributors":{"authors":[{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":484369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, David P. hill@usgs.gov","contributorId":2600,"corporation":false,"usgs":true,"family":"Hill","given":"David","email":"hill@usgs.gov","middleInitial":"P.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":false,"id":484368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Massin, Frederick","contributorId":27351,"corporation":false,"usgs":true,"family":"Massin","given":"Frederick","email":"","affiliations":[],"preferred":false,"id":484370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farrell, Jamie","contributorId":100280,"corporation":false,"usgs":true,"family":"Farrell","given":"Jamie","affiliations":[],"preferred":false,"id":484373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Robert B.","contributorId":90824,"corporation":false,"usgs":true,"family":"Smith","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":484372,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taira, Taka'aki","contributorId":63302,"corporation":false,"usgs":true,"family":"Taira","given":"Taka'aki","affiliations":[],"preferred":false,"id":484371,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048355,"text":"70048355 - 2013 - Baseline monitoring of the western Arctic Ocean estimates 20% of the Canadian Basin surface waters are undersaturated with respect to aragonite","interactions":[],"lastModifiedDate":"2016-09-22T12:36:32","indexId":"70048355","displayToPublicDate":"2013-09-23T11:31:00","publicationYear":"2013","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":"Baseline monitoring of the western Arctic Ocean estimates 20% of the Canadian Basin surface waters are undersaturated with respect to aragonite","docAbstract":"Marine surface waters are being acidified due to uptake of anthropogenic carbon dioxide, resulting in surface ocean areas of undersaturation with respect to carbonate minerals, including aragonite. In the Arctic Ocean, acidification is expected to occur at an accelerated rate with respect to the global oceans, but a paucity of baseline data has limited our understanding of the extent of Arctic undersaturation and of regional variations in rates and causes. The lack of data has also hindered refinement of models aimed at projecting future trends of ocean acidification. Here, based on more than 34,000 data records collected in 2010 and 2011, we establish a baseline of inorganic carbon data (pH, total alkalinity, dissolved inorganic carbon, partial pressure of carbon dioxide, and aragonite saturation index) for the western Arctic Ocean. This data set documents aragonite undersaturation in ~20% of the surface waters of the combined Canada and Makarov basins, an area characterized by recent acceleration of sea ice loss. Conservative tracer studies using stable oxygen isotopic data from 307 sites show that while the entire surface of this area receives abundant freshwater from meteoric sources, freshwater from sea ice melt is most closely linked to the areas of carbonate mineral undersaturation. These data link the Arctic Ocean’s largest area of aragonite undersaturation to sea ice melt and atmospheric CO<sub>2</sub> absorption in areas of low buffering capacity. Some relatively supersaturated areas can be linked to localized biological activity. Collectively, these observations can be used to project trends of ocean acidification in higher latitude marine surface waters where inorganic carbon chemistry is largely influenced by sea ice meltwater.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLOS ONE","doi":"10.1371/journal.pone.0073796","usgsCitation":"Robbins, L.L., Wynn, J.G., Lisle, J.T., Yates, K.K., Knorr, P.O., Byrne, R., Liu, X., Patsavas, M.C., Azetsu-Scott, K., and Takahashi, T., 2013, Baseline monitoring of the western Arctic Ocean estimates 20% of the Canadian Basin surface waters are undersaturated with respect to aragonite: PLoS ONE, v. 8, no. 9, 15 p., https://doi.org/10.1371/journal.pone.0073796.","productDescription":"15 p.","numberOfPages":"15","ipdsId":"IP-036765","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473528,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0073796","text":"Publisher Index Page"},{"id":278003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277996,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0073796"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.9,66.5 ], [ -166.9,77.3 ], [ -105.2,77.3 ], [ -105.2,66.5 ], [ -166.9,66.5 ] ] ] } } ] }","volume":"8","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-11","publicationStatus":"PW","scienceBaseUri":"524154f9e4b0ec672f073aaf","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wynn, Jonathan G.","contributorId":92960,"corporation":false,"usgs":true,"family":"Wynn","given":"Jonathan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":484403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yates, Kimberly K. 0000-0001-8764-0358 kyates@usgs.gov","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":420,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"kyates@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Byrne, Robert H.","contributorId":83260,"corporation":false,"usgs":true,"family":"Byrne","given":"Robert H.","affiliations":[],"preferred":false,"id":484401,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Xuewu","contributorId":87676,"corporation":false,"usgs":true,"family":"Liu","given":"Xuewu","email":"","affiliations":[],"preferred":false,"id":484402,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Patsavas, Mark C.","contributorId":99881,"corporation":false,"usgs":true,"family":"Patsavas","given":"Mark","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":484404,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Azetsu-Scott, Kumiko","contributorId":78636,"corporation":false,"usgs":true,"family":"Azetsu-Scott","given":"Kumiko","email":"","affiliations":[],"preferred":false,"id":484400,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Takahashi, Taro","contributorId":55319,"corporation":false,"usgs":true,"family":"Takahashi","given":"Taro","email":"","affiliations":[],"preferred":false,"id":484399,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70048351,"text":"70048351 - 2013 - Regional signatures of plant response to drought and elevated temperature across a desert ecosystem","interactions":[],"lastModifiedDate":"2013-10-30T11:33:16","indexId":"70048351","displayToPublicDate":"2013-09-23T10:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Regional signatures of plant response to drought and elevated temperature across a desert ecosystem","docAbstract":"The performance of many desert plant species in North America may decline with the warmer and drier conditions predicted by climate change models, thereby accelerating land degradation and reducing ecosystem productivity. We paired repeat measurements of plant canopy cover with climate at multiple sites across the Chihuahuan Desert over the last century to determine which plant species and functional types may be the most sensitive to climate change. We found that the dominant perennial grass, Bouteloua eriopoda, and species richness had nonlinear responses to summer precipitation, decreasing more in dry summers than increasing with wet summers. Dominant shrub species responded differently to the seasonality of precipitation and drought, but winter precipitation best explained changes in the cover of woody vegetation in upland grasslands and may contribute to woody-plant encroachment that is widespread throughout the southwestern United States and northern Mexico. Temperature explained additional variability of changes in cover of dominant and subdominant plant species. Using a novel empirically based approach we identified ‘‘climate pivot points’’ that were indicative of shifts from increasing to decreasing plant cover over a range of climatic conditions. Reductions in cover of annual and several perennial plant species, in addition to declines in species richness below the long-term summer precipitation mean across plant communities, indicate a decrease in the productivity for all but the most drought-tolerant perennial grasses and shrubs in the Chihuahuan Desert. Overall, our regional synthesis of long-term data provides a robust foundation for forecasting future shifts in the composition and structure of plant assemblages in the largest North American warm desert.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/12-1586.1","usgsCitation":"Munson, S.M., Muldavin, E.H., Belnap, J., Peters, D.P., Anderson, J.P., Reiser, M.H., Gallo, K., Melgoza-Castillo, A., Herrick, J.E., and Christiansen, T.A., 2013, Regional signatures of plant response to drought and elevated temperature across a desert ecosystem: Ecology, v. 94, no. 9, p. 2030-2041, https://doi.org/10.1890/12-1586.1.","productDescription":"12 p.","startPage":"2030","endPage":"2041","numberOfPages":"12","ipdsId":"IP-040978","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":277998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277991,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-1586.1"}],"volume":"94","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"524154fbe4b0ec672f073abb","contributors":{"authors":[{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":484375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muldavin, Esteban H.","contributorId":88260,"corporation":false,"usgs":true,"family":"Muldavin","given":"Esteban","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":484383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":484374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peters, Debra P.C.","contributorId":81007,"corporation":false,"usgs":true,"family":"Peters","given":"Debra","email":"","middleInitial":"P.C.","affiliations":[],"preferred":false,"id":484381,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, John P.","contributorId":23060,"corporation":false,"usgs":true,"family":"Anderson","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484376,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reiser, M. Hildegard","contributorId":38465,"corporation":false,"usgs":true,"family":"Reiser","given":"M.","email":"","middleInitial":"Hildegard","affiliations":[],"preferred":false,"id":484378,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gallo, Kirsten","contributorId":82414,"corporation":false,"usgs":true,"family":"Gallo","given":"Kirsten","email":"","affiliations":[],"preferred":false,"id":484382,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Melgoza-Castillo, Alicia","contributorId":76639,"corporation":false,"usgs":true,"family":"Melgoza-Castillo","given":"Alicia","email":"","affiliations":[],"preferred":false,"id":484380,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Herrick, Jeffrey E.","contributorId":26054,"corporation":false,"usgs":false,"family":"Herrick","given":"Jeffrey","email":"","middleInitial":"E.","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":484377,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Christiansen, Tim A.","contributorId":64550,"corporation":false,"usgs":true,"family":"Christiansen","given":"Tim","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484379,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70048325,"text":"70048325 - 2013 - A scenario and forecast model for Gulf of Mexico hypoxic area and volume","interactions":[],"lastModifiedDate":"2013-10-30T11:34:09","indexId":"70048325","displayToPublicDate":"2013-09-23T09:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"A scenario and forecast model for Gulf of Mexico hypoxic area and volume","docAbstract":"For almost three decades, the relative size of the hypoxic region on the Louisiana-Texas continental shelf has drawn scientific and policy attention.  During that time, both simple and complex models have been used to explore hypoxia dynamics and to provide management guidance relating the size of the hypoxic zone to key drivers.  Throughout much of that development, analyses had to accommodate an apparent change in hypoxic sensitivity to loads and often cull observations due to anomalous meteorological conditions.  Here, we describe an adaptation of our earlier, simple biophysical model, calibrated to revised hypoxic area estimates and new hypoxic volume estimates through Bayesian estimation.  This application eliminates the need to cull observations and provides revised hypoxic extent estimates with uncertainties, corresponding to different nutrient loading reduction scenarios.  We compare guidance from this model application, suggesting an approximately 62% nutrient loading reduction is required to reduce Gulf hypoxia to the Action Plan goal of 5,000 km<sup>2</sup>, to that of previous applications.  In addition, we describe for the first time, the corresponding response of hypoxic volume.  We also analyze model results to test for increasing system sensitivity to hypoxia formation, but find no strong evidence of such change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","doi":"10.1021/es4025035","usgsCitation":"Scavia, D., Evans, M.A., and Obenour, D.R., 2013, A scenario and forecast model for Gulf of Mexico hypoxic area and volume: Environmental Science & Technology, v. 47, no. 18, 6 p., https://doi.org/10.1021/es4025035.","productDescription":"6 p.","numberOfPages":"6","ipdsId":"IP-048828","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":277995,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277970,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es4025035"}],"volume":"47","issue":"18","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"524154f9e4b0ec672f073aab","contributors":{"authors":[{"text":"Scavia, Donald","contributorId":19068,"corporation":false,"usgs":true,"family":"Scavia","given":"Donald","affiliations":[],"preferred":false,"id":484320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":4883,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":484319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Obenour, Daniel R.","contributorId":66588,"corporation":false,"usgs":true,"family":"Obenour","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":484321,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048352,"text":"70048352 - 2013 - Characterizing regional soil mineral composition using spectroscopyand geostatistics","interactions":[],"lastModifiedDate":"2013-09-23T09:12:42","indexId":"70048352","displayToPublicDate":"2013-09-23T09:07:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing regional soil mineral composition using spectroscopyand geostatistics","docAbstract":"This work aims at improving the mapping of major mineral variability at regional scale using scale-dependent spatial variability observed in remote sensing data. Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and statistical methods were combined with laboratory-based mineral characterization of field samples to create maps of the distributions of clay, mica and carbonate minerals and their abundances. The Material Identification and Characterization Algorithm (MICA) was used to identify the spectrally-dominant minerals in field samples; these results were combined with ASTER data using multinomial logistic regression to map mineral distributions. X-ray diffraction (XRD)was used to quantify mineral composition in field samples.  XRD results were combined with ASTER data using multiple linear regression to map mineral abundances. We testedwhether smoothing of the ASTER data to match the scale of variability of the target sample would improve model correlations. Smoothing was donewith Fixed Rank Kriging (FRK) to represent the mediumand long-range spatial variability in the ASTER data. Stronger correlations resulted using the smoothed data compared to results obtained with the original data. Highest model accuracies came from using both medium and long-range scaled ASTER data as input to the statistical models. High correlation coefficients were obtained for the abundances of calcite and mica (R2 = 0.71 and 0.70, respectively). Moderately-high correlation coefficients were found for smectite and kaolinite (R2 = 0.57 and 0.45, respectively). Maps of mineral distributions, obtained by relating ASTER data to MICA analysis of field samples, were found to characterize major soil mineral variability (overall accuracies for mica, smectite and kaolinite were 76%, 89% and 86% respectively). The results of this study suggest that the distributions of minerals and their abundances derived using FRK-smoothed ASTER data more closely match the spatial variability of soil and environmental properties at regional scale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2013.08.018","usgsCitation":"Mulder, V., de Bruin, S., Weyermann, J., Kokaly, R., and Schaepman, M., 2013, Characterizing regional soil mineral composition using spectroscopyand geostatistics: Remote Sensing of Environment, v. 139, no. December 2013, p. 415-429, https://doi.org/10.1016/j.rse.2013.08.018.","productDescription":"15 p.","startPage":"415","endPage":"429","numberOfPages":"15","ipdsId":"IP-049662","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":488159,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/3422237","text":"External Repository"},{"id":277994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277992,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2013.08.018"}],"volume":"139","issue":"December 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"524154fae4b0ec672f073ab3","contributors":{"authors":[{"text":"Mulder, V.L.","contributorId":12764,"corporation":false,"usgs":true,"family":"Mulder","given":"V.L.","email":"","affiliations":[],"preferred":false,"id":484385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Bruin, S.","contributorId":49693,"corporation":false,"usgs":true,"family":"de Bruin","given":"S.","affiliations":[],"preferred":false,"id":484386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weyermann, J.","contributorId":9564,"corporation":false,"usgs":true,"family":"Weyermann","given":"J.","email":"","affiliations":[],"preferred":false,"id":484384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":81442,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","affiliations":[],"preferred":false,"id":484388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaepman, M.E.","contributorId":66466,"corporation":false,"usgs":true,"family":"Schaepman","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":484387,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048327,"text":"70048327 - 2013 - On the absolute calibration of SO<sub>2</sub> cameras","interactions":[],"lastModifiedDate":"2013-09-23T11:20:15","indexId":"70048327","displayToPublicDate":"2013-09-22T11:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":926,"text":"Atmospheric Measurement Techniques","active":true,"publicationSubtype":{"id":10}},"title":"On the absolute calibration of SO<sub>2</sub> cameras","docAbstract":"Sulphur dioxide emission rate measurements are an important tool for volcanic monitoring and eruption risk assessment. The SO<sub>2</sub> camera technique remotely measures volcanic emissions by analysing the ultraviolet absorption of SO<sub>2</sub> in a narrow spectral window between 300 and 320 nm using solar radiation scattered in the atmosphere. The SO<sub>2</sub> absorption is selectively detected by mounting band-pass interference filters in front of a two-dimensional, UV-sensitive CCD detector. One important step for correct SO<sub>2</sub> emission rate measurements that can be compared with other measurement techniques is a correct calibration. This requires conversion from the measured optical density to the desired SO<sub>2</sub> column density (CD). The conversion factor is most commonly determined by inserting quartz cells (cuvettes) with known amounts of SO<sub>2</sub> into the light path. Another calibration method uses an additional narrow field-of-view Differential Optical Absorption Spectroscopy system (NFOVDOAS), which measures the column density simultaneously in a small area of the camera’s field-of-view. This procedure combines the very good spatial and temporal resolution of the SO<sub>2</sub> camera technique with the more accurate column densities obtainable from DOAS measurements.\nThis work investigates the uncertainty of results gained through the two commonly used, but quite different, calibration methods (DOAS and calibration cells). Measurements with three different instruments, an SO<sub>2</sub> camera, a NFOVDOAS system and an Imaging DOAS (I-DOAS), are presented. We compare the calibration-cell approach with the calibration from the NFOV-DOAS system. The respective results are compared with measurements from an I-DOAS to verify the calibration curve over the spatial extent of the image. The results show that calibration cells, while working fine in some cases, can lead to an overestimation of the SO<sub>2</sub> CD by up to 60% compared with CDs from the DOAS measurements. Besides these errors of calibration, radiative transfer effects (e.g. light dilution, multiple scattering) can significantly influence the results of both instrument types. The measurements presented in this work were taken at Popocatepetl, Mexico, between 1 March 2011 and 4 March 2011. Average SO<sub>2</sub> emission rates between 4.00 and 14.34 kg s<sup>−1</sup> were observed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Atmospheric Measurement Techniques","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Atmospheric Measurement Techniques","doi":"10.5194/amt-6-677-2013","usgsCitation":"Lubcke, P., Bobrowski, N., Illing, S., Kern, C., Alvarez Nieves, J.M., Vogel, L., Zielcke, J., Delgados Granados, H., and Platt, U., 2013, On the absolute calibration of SO<sub>2</sub> cameras: Atmospheric Measurement Techniques, v. 6, p. 677-696, https://doi.org/10.5194/amt-6-677-2013.","productDescription":"20 p.","startPage":"677","endPage":"696","numberOfPages":"20","ipdsId":"IP-042811","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473530,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/amt-6-677-2013","text":"Publisher Index Page"},{"id":278000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/amt-6-677-2013"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2013-03-14","publicationStatus":"PW","scienceBaseUri":"524162e7e4b0ec672f073af2","contributors":{"authors":[{"text":"Lubcke, Peter","contributorId":56141,"corporation":false,"usgs":false,"family":"Lubcke","given":"Peter","email":"","affiliations":[],"preferred":false,"id":484333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bobrowski, Nicole","contributorId":45214,"corporation":false,"usgs":true,"family":"Bobrowski","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":484332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Illing, Sebastian","contributorId":24676,"corporation":false,"usgs":true,"family":"Illing","given":"Sebastian","email":"","affiliations":[],"preferred":false,"id":484328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":484327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alvarez Nieves, Jose Manuel","contributorId":90199,"corporation":false,"usgs":true,"family":"Alvarez Nieves","given":"Jose","email":"","middleInitial":"Manuel","affiliations":[],"preferred":false,"id":484334,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vogel, Leif","contributorId":37632,"corporation":false,"usgs":true,"family":"Vogel","given":"Leif","email":"","affiliations":[],"preferred":false,"id":484331,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zielcke, Johannes","contributorId":107599,"corporation":false,"usgs":true,"family":"Zielcke","given":"Johannes","email":"","affiliations":[],"preferred":false,"id":484335,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Delgados Granados, Hugo","contributorId":32439,"corporation":false,"usgs":true,"family":"Delgados Granados","given":"Hugo","email":"","affiliations":[],"preferred":false,"id":484330,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Platt, Ulrich","contributorId":26609,"corporation":false,"usgs":true,"family":"Platt","given":"Ulrich","affiliations":[],"preferred":false,"id":484329,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70048337,"text":"sir20135168 - 2013 - Recent (circa 1998 to 2011) channel-migration rates of selected streams in Indiana","interactions":[],"lastModifiedDate":"2013-09-20T14:31:03","indexId":"sir20135168","displayToPublicDate":"2013-09-20T14:13:00","publicationYear":"2013","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":"2013-5168","title":"Recent (circa 1998 to 2011) channel-migration rates of selected streams in Indiana","docAbstract":"An investigation was completed to document recent (circa 1998 to 2011) channel-migration rates at 970 meander bends along 38 of the largest streams in Indiana. Data collection was completed by using the Google Earth™ platform and, for each selected site, identifying two images with capture dates separated by multiple years. Within each image, the position of the meander-bend cutbank was measured relative to a fixed local landscape feature visible in both images, and an average channel-migration rate was calculated at the point of maximum cutbank displacement. From these data it was determined that 65 percent of the measured sites have recently been migrating at a rate less than 1 ft/yr, 75 percent of the sites have been migrating at a rate less than 10 ft/yr, and while some sites are migrating in excess of 20 ft/yr, these occurrences are rare. In addition, it is shown that recent channel-migration activity is not evenly distributed across Indiana. For the stream reaches studied, far northern and much of far southern Indiana are drained by streams that recently have been relatively stationary. At the same time, this study shows that most of the largest streams in west-central Indiana and many of the largest streams in east-central Indiana have shown significant channel-migration activity during the recent past. It is anticipated that these results will support several fluvial-erosion-hazard mitigation activities currently being undertaken in Indiana.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135168","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Robinson, B.A., 2013, Recent (circa 1998 to 2011) channel-migration rates of selected streams in Indiana: U.S. Geological Survey Scientific Investigations Report 2013-5168, iv, 37 p., https://doi.org/10.3133/sir20135168.","productDescription":"iv, 37 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1998-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":277979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135168.gif"},{"id":277980,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5168/"},{"id":277981,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5168/pdf/sir2013-5168.pdf"}],"scale":"100000","projection":"1983 Universal Transverse Mercator","datum":"North American Datum 1983","country":"United States","state":"Indiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.0997,37.7717 ], [ -88.0997,41.7614 ], [ -84.7846,41.7614 ], [ -84.7846,37.7717 ], [ -88.0997,37.7717 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523d6bade4b097188d6c769e","contributors":{"authors":[{"text":"Robinson, Bret A. barobins@usgs.gov","contributorId":3897,"corporation":false,"usgs":true,"family":"Robinson","given":"Bret","email":"barobins@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":484349,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048334,"text":"sir20105070H - 2013 - Nickel-cobalt laterites: a deposit model","interactions":[],"lastModifiedDate":"2022-12-13T17:11:43.972738","indexId":"sir20105070H","displayToPublicDate":"2013-09-20T13:48:00","publicationYear":"2013","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":"H","title":"Nickel-cobalt laterites: a deposit model","docAbstract":"<p>Nickel-cobalt (Ni-Co) laterite deposits are supergene enrichments of Ni±Co that form from intense chemical and mechanical weathering of ultramafic parent rocks. These regolith deposits typically form within 26 degrees of the equator, although there are a few exceptions. They form in active continental margins and stable cratonic settings. It takes as little as one million years for a laterite profile to develop. Three subtypes of Ni-Co laterite deposits are classified according to the dominant Ni-bearing mineralogy, which include hydrous magnesium (Mg)-silicate, smectite, and oxide. These minerals form in weathering horizons that begin with the unweathered protolith at the base, saprolite next, a smectite transition zone only in profiles where drainage is very poor, followed by limonite, and then capped with ferricrete at the top. The saprolite contains Ni-rich hydrous Mg-silicates, the Ni-rich clays occur in the transition horizon, and Ni-rich goethite occurs in the limonite. Although these subtypes of deposits are the more widely used terms for classification of Ni-Co laterite deposits, most deposits have economic concentrations of Ni in more than one horizon. Because of their complex mineralogy and heterogeneous concentrations, mining of these metallurgically complex deposits can be challenging. Deposits range in size from 2.5 to about 400 million tonnes, with Ni and Co grades of 0.66–2.4 percent (median 1.3) and 0.01–0.15 percent (median 0.08), respectively. Modern techniques of ore delineation and mineralogical identification are being developed to aid in streamlining the Ni-Co laterite mining process, and low-temperature and low-pressure ore processing techniques are being tested that will treat the entire weathered profile. There is evidence that the production of Ni and Co from laterites is more energy intensive than that of sulfide ores, reflecting the environmental impact of producing a Ni-Co laterite deposit. Tailings may include high levels of magnesium, sulfate, and manganese and have the potential to be physically unstable.</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/sir20105070H","usgsCitation":"Marsh, E.E., Anderson, E.D., and Gray, F., 2013, Nickel-cobalt laterites: a deposit model: U.S. Geological Survey Scientific Investigations Report 2010-5070, vii, 38 p., https://doi.org/10.3133/sir20105070H.","productDescription":"vii, 38 p.","numberOfPages":"49","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":277977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20105070H.png"},{"id":277975,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5070/h/","linkFileType":{"id":5,"text":"html"}},{"id":277976,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5070/h/pdf/SIR10-5070-H.pdf","text":"Report","size":"6.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523d6bade4b097188d6c7696","contributors":{"authors":[{"text":"Marsh, Erin E. 0000-0001-5245-9532 emarsh@usgs.gov","orcid":"https://orcid.org/0000-0001-5245-9532","contributorId":1250,"corporation":false,"usgs":true,"family":"Marsh","given":"Erin","email":"emarsh@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":484346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Eric D. 0000-0002-0138-6166 ericanderson@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-6166","contributorId":1733,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric","email":"ericanderson@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":484347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Floyd 0000-0002-0223-8966 fgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":603,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","email":"fgray@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":484345,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048320,"text":"sir20135163 - 2013 - Quality of groundwater and surface water, Wood River Valley, south-central Idaho, July and August 2012","interactions":[],"lastModifiedDate":"2013-09-20T11:36:50","indexId":"sir20135163","displayToPublicDate":"2013-09-20T11:18:00","publicationYear":"2013","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":"2013-5163","title":"Quality of groundwater and surface water, Wood River Valley, south-central Idaho, July and August 2012","docAbstract":"<p>Residents and resource managers of the Wood River Valley of south-central Idaho are concerned about the effects that population growth might have on the quality of groundwater and surface water. As part of a multi-phase assessment of the groundwater resources in the study area, the U.S. Geological Survey evaluated the quality of water at 45 groundwater and 5 surface-water sites throughout the Wood River Valley during July and August 2012. Water samples were analyzed for field parameters (temperature, pH, specific conductance, dissolved oxygen, and alkalinity), major ions, boron, iron, manganese, nutrients, and <i>Escherichia coli (E.coli)</i> and total coliform bacteria.</p>\n</br>\n<p>This study was conducted to determine baseline water quality throughout the Wood River Valley, with special emphasis on nutrient concentrations. Water quality in most samples collected did not exceed U.S. Environmental Protection Agency standards for drinking water. E. coli bacteria, used as indicators of water quality, were detected in all five surface-water samples and in two groundwater samples collected. Some analytes have aesthetic-based recommended drinking water standards; one groundwater sample exceeded recommended iron concentrations. Nitrate plus nitrite concentrations varied, but tended to be higher near population centers and in agricultural areas than in tributaries and less populated areas. These higher nitrate plus nitrite concentrations were not correlated with boron concentrations or the presence of bacteria, common indicators of sources of nutrients to water. None of the samples collected exceeded drinking-water standards for nitrate or nitrite.</p>\n</br>\n<p>The concentration of total dissolved solids varied considerably in the waters sampled; however a calcium-magnesium-bicarbonate water type was dominant (43 out of 50 samples) in both the groundwater and surface water. Three constituents that may be influenced by anthropogenic activity (chloride, boron, and nitrate plus nitrite) deviate from this pattern and show a wide distribution of concentrations in the unconfined aquifer, indicating possible anthropogenic influence.</p>\n</br>\n<p>Time-series plots of historical water-quality data indicated that nitrate does not seem to be increasing or decreasing in groundwater over time; however, time-series plots of chloride concentrations indicate that chloride may be increasing in some wells. The small amount of temporal variability in nitrate concentrations indicates a lack of major temporal changes to groundwater inputs.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135163","collaboration":"Prepared in cooperation with Blaine County, City of Hailey, City of Ketchum, The Nature Conservancy, City of Sun Valley, Sun Valley Water and Sewer District, Blaine Soil Conservation District, and the City of Bellevue","usgsCitation":"Hopkins, C.B., and Bartolino, J.R., 2013, Quality of groundwater and surface water, Wood River Valley, south-central Idaho, July and August 2012: U.S. Geological Survey Scientific Investigations Report 2013-5163, Report: vi, 32 p.; 2 Appendixes, https://doi.org/10.3133/sir20135163.","productDescription":"Report: vi, 32 p.; 2 Appendixes","numberOfPages":"42","additionalOnlineFiles":"Y","temporalStart":"2012-07-01","temporalEnd":"2012-08-31","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":277966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/SIR20135163.jpg"},{"id":277963,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5163/pdf/sir2013-5163.pdf"},{"id":277964,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5163/sir2013-5163_appendixA.xlsx"},{"id":277962,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5163/"},{"id":277965,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5163/sir2013-5163_appendixB.xlsx"}],"country":"United States","state":"Idaho","otherGeospatial":"Wood River Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.6993,43.2487 ], [ -114.6993,43.9498 ], [ -114.0151,43.9498 ], [ -114.0151,43.2487 ], [ -114.6993,43.2487 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523d6bade4b097188d6c769a","contributors":{"authors":[{"text":"Hopkins, Candice B. 0000-0003-3207-7267 chopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-3207-7267","contributorId":1379,"corporation":false,"usgs":true,"family":"Hopkins","given":"Candice","email":"chopkins@usgs.gov","middleInitial":"B.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484314,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048310,"text":"sir20135101 - 2013 - Geohydrology, geochemistry, and groundwater simulation (1992-2011) and analysis of potential water-supply management options, 2010-60, of the Langford Basin, California","interactions":[],"lastModifiedDate":"2013-10-30T11:35:55","indexId":"sir20135101","displayToPublicDate":"2013-09-20T08:42:00","publicationYear":"2013","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":"2013-5101","title":"Geohydrology, geochemistry, and groundwater simulation (1992-2011) and analysis of potential water-supply management options, 2010-60, of the Langford Basin, California","docAbstract":"Groundwater withdrawals began in 1992 from the Langford Basin within the Fort Irwin National Training Center (NTC), California. From April 1992 to December 2010, approximately 12,300 acre-feet of water (averaging about 650 acre-feet per year) has been withdrawn from the basin and transported to the adjacent Irwin Basin. Since withdrawals began, water levels in the basin have declined by as much as 40 feet, and the quality of the groundwater withdrawn from the basin has deteriorated. The U.S. Geological Survey collected geohydrologic data from Langford Basin during 1992–2011 to determine the quantity and quality of groundwater available in the basin. Geophysical surveys, including gravity, seismic refraction, and time-domain electromagnetic induction surveys, were conducted to determine the depth and shape of the basin, to delineate depths to the Quaternary-Tertiary interface, and to map the depth to the water table and changes in water quality. Data were collected from existing wells and test holes, as well as 11 monitor wells that were installed at 5 sites as part of this study. Water-quality samples collected from wells in the basin were used to determine the groundwater chemistry within the basin and to delineate potential sources of poor-quality groundwater. Analysis of stable isotopes of oxygen and hydrogen in groundwater indicates that present-day precipitation is not a major source of recharge to the basin. Tritium and carbon-14 data indicate that most of the basin was recharged prior to 1952, and the groundwater in the basin has an apparent age of 12,500 to 30,000 years. Recharge to the basin, estimated to be less than 50 acre-feet per year, has not been sufficient to replenish the water that is being withdrawn from the basin. A numerical groundwater-flow model was developed for the Langford Basin to better understand the aquifer system used by the Fort Irwin NTC as part of its water supply, and to provide a tool to help manage groundwater resources at the NTC. Measured groundwater-level declines since the initiation of withdrawals (1992–2011) were used to calibrate the groundwater-flow model. The simulated recharge was about 46 acre-feet per year, including approximately 6 acre-feet per year of natural recharge derived from precipitation runoff and as much as 40 acre-feet per year of underflow from the Irwin Basin. Between April 1992 and December 2010, an average of about 650 acre-feet per year of water was withdrawn from the Langford Basin. Groundwater withdrawals in excess of natural recharge resulted in a net loss of 11,670 acre-feet of groundwater storage within the basin for the simulation period. The Fort Irwin NTC is considering various groundwater-management options to address the limited water resources in the Langford Basin. The calibrated Langford Basin groundwater-flow model was used to evaluate the hydrologic effects of four groundwater-withdrawal scenarios being considered by the Fort Irwin NTC over the next 50 years (January 2011 through December 2060). Continuation of the 2010 withdrawal rate in the three existing production wells will result in 70 feet of additional drawdown in the central part of the basin. Redistributing the 2010 withdrawal rate equally to the three existing wells and two proposed new wells in the northern and southern parts of the basin would result in about 10 feet less drawdown in the central part of the basin but about 100 feet of additional drawdown in the new well in the northern part of the basin and about 50 feet of additional drawdown in the new well in the southern part of the basin. Reducing the withdrawals from the three existing production wells in the central part of the basin from about 45,000 acre-feet to about 32,720 acre-feet would result in about 40 feet of additional drawdown in the central basin near the pumping wells, about 25 feet less than if withdrawals were not reduced. The combination of reducing and redistributing the cumulative withdrawals to the three existing and two proposed new wells results in about 40 feet of additional drawdown in the central and southern parts of the basin and about 70 feet in the northern part of the basin. These results show that reducing and redistributing the groundwater withdrawals would maintain the upper aquifer at greater than 50 percent of its predevelopment saturated thickness throughout the groundwater basin. The scenarios simulated for this study demonstrate how the calibrated model can be utilized to evaluate the hydrologic effects of different water-management strategies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135101","usgsCitation":"Voronin, L.M., Densmore, J., Martin, P., Brush, C.F., Carlson, C.S., and Miller, D., 2013, Geohydrology, geochemistry, and groundwater simulation (1992-2011) and analysis of potential water-supply management options, 2010-60, of the Langford Basin, California: U.S. Geological Survey Scientific Investigations Report 2013-5101, x, 86 p., https://doi.org/10.3133/sir20135101.","productDescription":"x, 86 p.","numberOfPages":"100","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":277948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135101.jpg"},{"id":277946,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5101/"},{"id":277947,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5101/pdf/sir2013-5101.pdf"}],"country":"United States","state":"California","otherGeospatial":"Fort Irwin National Training Center","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -11.118611111111111,34.5 ], [ -11.118611111111111,8.333333333333334E-4 ], [ -0.01638888888888889,8.333333333333334E-4 ], [ -0.01638888888888889,34.5 ], [ -11.118611111111111,34.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523d6b91e4b097188d6c7692","contributors":{"authors":[{"text":"Voronin, Lois M. 0000-0002-1064-1675 lvoronin@usgs.gov","orcid":"https://orcid.org/0000-0002-1064-1675","contributorId":1475,"corporation":false,"usgs":true,"family":"Voronin","given":"Lois","email":"lvoronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Jill N. 0000-0002-5345-6613","orcid":"https://orcid.org/0000-0002-5345-6613","contributorId":89179,"corporation":false,"usgs":true,"family":"Densmore","given":"Jill N.","affiliations":[],"preferred":false,"id":484295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Peter pmmartin@usgs.gov","contributorId":799,"corporation":false,"usgs":true,"family":"Martin","given":"Peter","email":"pmmartin@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brush, Charles F.","contributorId":93140,"corporation":false,"usgs":true,"family":"Brush","given":"Charles","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":484296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlson, Carl S. 0000-0001-7142-3519 cscarlso@usgs.gov","orcid":"https://orcid.org/0000-0001-7142-3519","contributorId":1694,"corporation":false,"usgs":true,"family":"Carlson","given":"Carl","email":"cscarlso@usgs.gov","middleInitial":"S.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484293,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":484294,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048296,"text":"sir20135136 - 2013 - The distribution and modeling of nitrate transport in the Carson Valley alluvial aquifer, Douglas County, Nevada","interactions":[],"lastModifiedDate":"2013-09-27T08:55:23","indexId":"sir20135136","displayToPublicDate":"2013-09-19T14:52:00","publicationYear":"2013","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":"2013-5136","title":"The distribution and modeling of nitrate transport in the Carson Valley alluvial aquifer, Douglas County, Nevada","docAbstract":"Residents of Carson Valley in Douglas County, Nevada, rely on groundwater from an alluvial aquifer for domestic use and agricultural irrigation. Since the 1970s, there has been a rapid increase in population in several parts of the valley that rely on domestic wells for drinking water and septic systems for treatment of household waste. As a result, the density of septic systems in the developed areas is greater than one septic system per 3 acres, and the majority of the domestic wells are shallow (screened within 250 feet of the land surface).<p>\nThe distribution of nitrate as nitrogen (referred to herein as nitrate-N) concentrations in groundwater was determined by collecting more than 200 samples from 8 land-use categories: single family residential, multifamily residential, rural (including land use for agriculture), vacant land, commercial, industrial, utilities, and unclassified. Nitrate-N concentrations ranged from below detection (less than 0.05 milligrams per liter) to 18 milligrams per liter. The results of nitrate-N concentrations that were sampled from three wells equalled or exceeded the maximum contaminant level of 10 milligrams per liter set by the U.S. Environmental Protection Agency. Nitrate-N concentrations in sampled wells showed a positive correlation between elevated nitrate-N concentrations and the percentage of single-family land use and septic-system density. Wells sampled in other land-use categories did not have any correlation to nitrate-N concentrations. In areas with greater than 50-percent single-family land use, nitrate-N concentrations were two times greater than in areas with less than 50 percent single-family land use. Nitrate-N concentrations in groundwater near septic systems that had been used more than 20 years were more than two times greater than in areas where septic systems had been used less than 20 years. Lower nitrate-N concentrations in the areas where septic systems were less than 20 years old probably result from temporary storage of nitrogen leaching from septic systems into the unsaturated zone.<p/> In areas where septic systems are abundant, nitrate-N concentrations were predicted to 2059 by using numerical models within the Ruhenstroth and Johnson Lane subdivisions in the Carson Valley. Model results indicated that nitrate-N concentrations will continue to increase and could exceed the maximum contaminant level over extended areas inside and outside the subdivisions. Two modeling scenarios were used to simulate future transport as a result of removal of septic systems (source of nitrate-N contamination) and the termination of domestic pumping of groundwater. The models showed the largest decrease in nitrate-N concentrations when septic systems were removed and wells continued to pump. Nitrate-N concentrations probably will continue to increase in areas that are dependent on septic systems for waste disposal either under current land-use conditions in the valley or with continued growth and change in land use in the valley.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135136","collaboration":"Prepared in cooperation with Douglas County and the Carson Water Subconservancy District","usgsCitation":"Naranjo, R.C., Welborn, T.L., and Rosen, M.R., 2013, The distribution and modeling of nitrate transport in the Carson Valley alluvial aquifer, Douglas County, Nevada: U.S. Geological Survey Scientific Investigations Report 2013-5136, vii, 51 p., https://doi.org/10.3133/sir20135136.","productDescription":"vii, 51 p.","numberOfPages":"58","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":277941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135136.jpg"},{"id":277939,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5136/pdf/sir2013-5136.pdf"},{"id":277940,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5136/"}],"country":"United States","state":"Nevada","county":"Douglas County","otherGeospatial":"Carson Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.6783,38.4682 ], [ -119.6783,39.1034 ], [ -119.1676,39.1034 ], [ -119.1676,38.4682 ], [ -119.6783,38.4682 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efee4b024b60d40726e","contributors":{"authors":[{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welborn, Toby L. 0000-0003-4839-2405 tlwelbor@usgs.gov","orcid":"https://orcid.org/0000-0003-4839-2405","contributorId":2295,"corporation":false,"usgs":true,"family":"Welborn","given":"Toby","email":"tlwelbor@usgs.gov","middleInitial":"L.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484260,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048292,"text":"sir20135153 - 2013 - Suspended-sediment loads and reservoir sediment trap efficiency for Clinton Lake, Kansas, 2010-12","interactions":[],"lastModifiedDate":"2013-10-30T11:35:14","indexId":"sir20135153","displayToPublicDate":"2013-09-19T14:11:00","publicationYear":"2013","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":"2013-5153","title":"Suspended-sediment loads and reservoir sediment trap efficiency for Clinton Lake, Kansas, 2010-12","docAbstract":"Continuous streamflow and turbidity data collected from October 1, 2010, to September 30, 2012, at a site upstream and downstream from Clinton Lake, Kansas, were used to compute the total suspended-sediment load delivered to and released from the reservoir as well as the sediment trap efficiency for the reservoir. Ongoing sedimentation is inhibiting the ability of Clinton Lake to serve several purposes including flood control, water supply, and recreation. The inflow suspended-sediment load was substantially larger than the outflow load and most of the suspended-sediment load was delivered during short-term, high-discharge periods. Respectively, the total 2-year inflow and outflow suspended-sediment loads were computed to be 44.4 and 1.49 million pounds. Sediment trap efficiency for the reservoir was estimated to be 97 percent. The mean annual suspended-sediment yield from the upstream basin was estimated to be 60,500 pounds per square mile. Because this study was completed during a drought, the estimated inflow suspended-sediment load and suspended-sediment yield likely are substantially less than what would occur during a period of average or above average precipitation and runoff.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135153","collaboration":"Prepared in cooperation with the Kansas Water Office","usgsCitation":"Juracek, K.E., 2013, Suspended-sediment loads and reservoir sediment trap efficiency for Clinton Lake, Kansas, 2010-12: U.S. Geological Survey Scientific Investigations Report 2013-5153, v, 10 p., https://doi.org/10.3133/sir20135153.","productDescription":"v, 10 p.","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-044091","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":277933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135153.gif"},{"id":277932,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5153/pdf/sir13-5153.pdf"},{"id":277931,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5153/"}],"country":"United States","state":"Kansas","otherGeospatial":"Clinton Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.63,38.86 ], [ -95.63,39.04 ], [ -95.26,39.04 ], [ -95.26,38.86 ], [ -95.63,38.86 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efee4b024b60d40726a","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":484254,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048290,"text":"tm6A44 - 2013 - MODFLOW–LGR—Documentation of ghost node local grid refinement (LGR2) for multiple areas and the boundary flow and head (BFH2) package","interactions":[],"lastModifiedDate":"2013-09-19T14:06:20","indexId":"tm6A44","displayToPublicDate":"2013-09-19T13:48:15","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A44","title":"MODFLOW–LGR—Documentation of ghost node local grid refinement (LGR2) for multiple areas and the boundary flow and head (BFH2) package","docAbstract":"This report documents the addition of ghost node Local Grid Refinement (LGR2) to MODFLOW-2005, the U.S. Geological Survey modular, transient, three-dimensional, finite-difference groundwater flow model. LGR2 provides the capability to simulate groundwater flow using multiple block-shaped higher-resolution local grids (a child model) within a coarser-grid parent model. LGR2 accomplishes this by iteratively coupling separate MODFLOW-2005 models such that heads and fluxes are balanced across the grid-refinement interface boundary. LGR2 can be used in two-and three-dimensional, steady-state and transient simulations and for simulations of confined and unconfined groundwater systems. Traditional one-way coupled telescopic mesh refinement methods can have large, often undetected, inconsistencies in heads and fluxes across the interface between two model grids. The iteratively coupled ghost-node method of LGR2 provides a more rigorous coupling in which the solution accuracy is controlled by convergence criteria defined by the user. In realistic problems, this can result in substantially more accurate solutions and require an increase in computer processing time. The rigorous coupling enables sensitivity analysis, parameter estimation, and uncertainty analysis that reflects conditions in both model grids. This report describes the method used by LGR2, evaluates accuracy and performance for two-and three-dimensional test cases, provides input instructions, and lists selected input and output files for an example problem. It also presents the Boundary Flow and Head (BFH2) Package, which allows the child and parent models to be simulated independently using the boundary conditions obtained through the iterative process of LGR2.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Ground water in Book 6 <i>Modeling Techniques</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A44","collaboration":"Prepared in cooperation with the U.S. Department of Energy, A Product of the Groundwater Resources Program; This report is Chapter 44 of Section A: Ground water in Book 6 <i>Modeling Techniques</i>","usgsCitation":"Mehl, S.W., and Hill, M.C., 2013, MODFLOW–LGR—Documentation of ghost node local grid refinement (LGR2) for multiple areas and the boundary flow and head (BFH2) package: U.S. Geological Survey Techniques and Methods 6-A44, viii, 43 p., https://doi.org/10.3133/tm6A44.","productDescription":"viii, 43 p.","numberOfPages":"54","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":277921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm6a44.gif"},{"id":277919,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/6a44/pdf/T&M6A-44.pdf"},{"id":277918,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/6a44/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efce4b024b60d40725e","contributors":{"authors":[{"text":"Mehl, Steffen W. swmehl@usgs.gov","contributorId":975,"corporation":false,"usgs":true,"family":"Mehl","given":"Steffen","email":"swmehl@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":484252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":484251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048277,"text":"ofr20131166 - 2013 - Report of geomagnetic pulsation indices for space weather applications","interactions":[],"lastModifiedDate":"2013-09-19T12:01:23","indexId":"ofr20131166","displayToPublicDate":"2013-09-19T11:51:00","publicationYear":"2013","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":"2013-1166","title":"Report of geomagnetic pulsation indices for space weather applications","docAbstract":"The phenomenon of ultra-low frequency geomagnetic pulsations was first observed in the ground-based measurements of the 1859 Carrington Event and has been studied for over 100 years. Pulsation frequency is considered to be “ultra” low when it is lower than the natural frequencies of the plasma, such as the ion gyrofrequency. Ultra-low frequency pulsations are considered a source of noise in some geophysical analysis techniques, such as aeromagnetic surveys and transient electromagnetics, so it is critical to develop near real-time space weather products to monitor these geomagnetic pulsations. The proper spectral analysis of magnetometer data, such as using wavelet analysis techniques, can also be important to Geomagnetically Induced Current risk assessment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131166","usgsCitation":"Xu, Z., Gannon, J.L., and Rigler, E., 2013, Report of geomagnetic pulsation indices for space weather applications: U.S. Geological Survey Open-File Report 2013-1166, iv, 22 p., https://doi.org/10.3133/ofr20131166.","productDescription":"iv, 22 p.","numberOfPages":"26","onlineOnly":"Y","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":277865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131166.jpg"},{"id":277864,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1166/pdf/OF13-1166.pdf"},{"id":277863,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1166/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efde4b024b60d407262","contributors":{"authors":[{"text":"Xu, Z.","contributorId":99760,"corporation":false,"usgs":true,"family":"Xu","given":"Z.","email":"","affiliations":[],"preferred":false,"id":484232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gannon, Jennifer L.","contributorId":40882,"corporation":false,"usgs":true,"family":"Gannon","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rigler, Erin J.","contributorId":75054,"corporation":false,"usgs":true,"family":"Rigler","given":"Erin J.","affiliations":[],"preferred":false,"id":484231,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048262,"text":"ofr20131224 - 2013 - Bedrock geology and outcrop fracture trends in the vicinity of the Savage Municipal Well Superfund site, Milford, New Hampshire","interactions":[],"lastModifiedDate":"2013-09-19T09:17:51","indexId":"ofr20131224","displayToPublicDate":"2013-09-19T09:04:27","publicationYear":"2013","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":"2013-1224","title":"Bedrock geology and outcrop fracture trends in the vicinity of the Savage Municipal Well Superfund site, Milford, New Hampshire","docAbstract":"The Savage Municipal Well Superfund site consists of an eastward-directed plume of volatile organic compounds, principally tetrachloroethylene (PCE), in alluvium and glacial sand and gravel in the Souhegan River valley, just south of the river and about 4 kilometers west of the town of Milford, New Hampshire. Sampling of monitoring wells at the site has helped delineate the extent of the plume and has determined that some contaminant has migrated into the underlying crystalline bedrock, including bedrock north of the river within 200 meters of a nearby residential development that was constructed in 1999. Borehole geophysical logging has identified a northeast preferential trend for bedrock fractures, which may provide a pathway for the migration of contaminant under and north of the Souhegan River. The current study investigates the bedrock geologic setting for the site, including its position relative to known regional geologic structures, and compiles new strike and dip measurements of joints in exposed bedrock to determine if there are dominant trends in orientation similar to what was found in the boreholes. The site is located on the northwestern limb of a northeast-trending regional anticlinorium that is southeast of the Campbell Hill fault zone. The Campbell Hill fault zone defines the contact between granite and gneiss of the anticlinorium and granite and schist to the northwest and is locally marked by lenses of massive vein quartz, minor faults, and fracture zones that could potentially affect plume migration. The fault zone was apparently not intercepted by any of the boreholes that were drilled to delineate the contaminant plume and therefore passes to the north of the northernmost borehole in the vicinity of the new residential area. Joints measured in surface exposures indicate a strong preferred direction of strike to the north-northeast corroborating the borehole data and previous outcrop and geophysical studies. The north-northeast preferred direction matches the direction of elongation of the cone of depression formed during a pump test of the bedrock wells and could explain a potential pathway for the migration of contaminant north of the river.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131224","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Region 1 and the New Hampshire Department of Environmental Services","usgsCitation":"Burton, W.C., and Harte, P.T., 2013, Bedrock geology and outcrop fracture trends in the vicinity of the Savage Municipal Well Superfund site, Milford, New Hampshire: U.S. Geological Survey Open-File Report 2013-1224, iii, 17 p., https://doi.org/10.3133/ofr20131224.","productDescription":"iii, 17 p.","numberOfPages":"25","onlineOnly":"Y","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":277841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131224.gif"},{"id":277839,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1224/"},{"id":277840,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1224/pdf/ofr2013-1224.pdf"}],"country":"United States","state":"New Hampshire","city":"Milford","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.75,42.8 ], [ -71.75,42.875 ], [ -71.625,42.875 ], [ -71.625,42.8 ], [ -71.75,42.8 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0ed2e4b024b60d407256","contributors":{"authors":[{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":484209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484208,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048261,"text":"ofr20131240 - 2013 - Biological and geochemical data of gravity cores from Mobile Bay, Alabama","interactions":[],"lastModifiedDate":"2025-05-13T18:12:26.338503","indexId":"ofr20131240","displayToPublicDate":"2013-09-19T08:56:00","publicationYear":"2013","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":"2013-1240","title":"Biological and geochemical data of gravity cores from Mobile Bay, Alabama","docAbstract":"A study was conducted to understand the marine-influenced environments of Mobile Bay, Alabama, by collecting a series of box cores and gravity cores. One gravity core in particular demonstrates a long reference for changing paleoenvironmental parameters in Mobile Bay. Due to lack of abundance of foraminifers and (or) lack of diversity, the benthic foraminiferal data for two of the three gravity cores are not included in the results. The benthic foraminiferal data collected and geochemical analyses in this study provide a baseline for recent changes in the bay.","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131240","usgsCitation":"Richwine, K.A., Marot, M., Smith, C.G., Osterman, L.E., and Adams, C., 2013, Biological and geochemical data of gravity cores from Mobile Bay, Alabama: U.S. Geological Survey Open-File Report 2013-1240, iv, 20 p., https://doi.org/10.3133/ofr20131240.","productDescription":"iv, 20 p.","numberOfPages":"24","onlineOnly":"Y","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":277837,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1240/"},{"id":277836,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1240/pdf/ofr2013-1240.pdf"},{"id":277838,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131240.gif"}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.109396,30.26461 ], [ -88.109396,30.673552 ], [ -87.91553,30.673552 ], [ -87.91553,30.26461 ], [ -88.109396,30.26461 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523c0efbe4b024b60d40725a","contributors":{"authors":[{"text":"Richwine, Kathryn A. krichwine@usgs.gov","contributorId":5004,"corporation":false,"usgs":true,"family":"Richwine","given":"Kathryn","email":"krichwine@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marot, Marci","contributorId":91150,"corporation":false,"usgs":true,"family":"Marot","given":"Marci","affiliations":[],"preferred":false,"id":484207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osterman, Lisa E. osterman@usgs.gov","contributorId":3058,"corporation":false,"usgs":true,"family":"Osterman","given":"Lisa","email":"osterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484203,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, C. Scott","contributorId":55326,"corporation":false,"usgs":true,"family":"Adams","given":"C. Scott","affiliations":[],"preferred":false,"id":484206,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045512,"text":"70045512 - 2013 - Sex determination of duck embryos: observations on syrinx development","interactions":[],"lastModifiedDate":"2018-03-21T14:54:35","indexId":"70045512","displayToPublicDate":"2013-09-19T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":946,"text":"Avian Biology Research","active":true,"publicationSubtype":{"id":10}},"title":"Sex determination of duck embryos: observations on syrinx development","docAbstract":"<p><span>Ducks exhibit sexual dimorphism in vocal anatomy. Asymmetrical ossification of the syrinx (</span><i>bulla syringealis</i><span>) is discernable at about 10 days of age in male Pekin duck (</span><i>Anas platyrhynchos domestica</i><span>) embryos, but information is lacking on the early development of the bulla in wild ducks. To evaluate the reliability of this characteristic for sexing developing embryos, we examined the syrinx of dead embryos and compared results with molecular sexing techniques in high arctic nesting Common Eiders (</span><i>Somateria mollissima</i><span>). Embryos 8 days or older were accurately (100%) sexed based on the presence/absence of a bulla, 2 days earlier than Pekin duck. The use of the tracheal bulla can be a valuable technique when sex identification of embryos or young ducklings is required.</span></p>","language":"English","publisher":"Science Reviews 2000 Ltd","doi":"10.3184/175815513X13739900273488","usgsCitation":"Wilson, R.E., Sonsthagen, S.A., and Franson, J., 2013, Sex determination of duck embryos: observations on syrinx development: Avian Biology Research, v. 6, no. 3, p. 243-246, https://doi.org/10.3184/175815513X13739900273488.","productDescription":"4 p.","startPage":"243","endPage":"246","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042365","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":277855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-08-01","publicationStatus":"PW","scienceBaseUri":"523c0efde4b024b60d407266","contributors":{"authors":[{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Franson, J. Christian 0000-0002-0251-4238","orcid":"https://orcid.org/0000-0002-0251-4238","contributorId":95002,"corporation":false,"usgs":true,"family":"Franson","given":"J. Christian","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":477684,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048244,"text":"70048244 - 2013 - Songbird abundance in native and planted grassland varies with type and amount of grassland in the surrounding landscape","interactions":[],"lastModifiedDate":"2017-09-18T11:49:36","indexId":"70048244","displayToPublicDate":"2013-09-18T15:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Songbird abundance in native and planted grassland varies with type and amount of grassland in the surrounding landscape","docAbstract":"Agriculture and wildlife conservation programs have converted vast amounts of cropland into grasslands planted with exotic species. Understanding how landscape context influences avian use of native and planted grasslands is essential for developing effective conservation strategies in agricultural landscapes. Our primary objective was to determine the extent to which the amount and type of grassland in the surrounding landscape influences the abundance of grassland songbird species on native and planted grassland parcels in southern Saskatchewan and Alberta, Canada. Bird abundance was more strongly influenced by the amount and type of grassland within 400 m of breeding parcels than at larger spatial scales. Grassland specialists responded similarly to habitat and landscape type over both years and provinces. Sprague's pipit (Anthus spragueii) and Baird's sparrow (Ammodramus bairdii) were most common in native grassland parcels surrounded by native grassland and were more likely to occur in planted grasslands surrounded by native grassland. Bobolinks (Dolichonyx oryzivorus) were most common in planted grassland parcels, but their abundance increased with the amount of native grassland surrounding these parcels. Our findings indicate that the suitability of planted grasslands for these species is influenced by their proximity to native grassland. Grassland generalists showed mixed responses to habitat and landscape type over the 2 years (Le Conte's sparrow [Ammodramus leconteii]) and between provinces (Savannah sparrow [Passerculus sandwichensis] and western meadowlark [Sturnella neglecta]). Management to benefit grassland specialists should therefore consider the landscape context when seeding cultivated land to non-native grassland and conserve extant native grassland.","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.537","usgsCitation":"Davis, S.K., Fisher, R., Skinner, S., Shaffer, T.L., and Brigham, R.M., 2013, Songbird abundance in native and planted grassland varies with type and amount of grassland in the surrounding landscape: Journal of Wildlife Management, v. 77, no. 5, p. 908-919, https://doi.org/10.1002/jwmg.537.","productDescription":"12 p.","startPage":"908","endPage":"919","ipdsId":"IP-042566","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":277812,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.537"},{"id":277831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-03-11","publicationStatus":"PW","scienceBaseUri":"523abd77e4b08cabd166cb08","contributors":{"authors":[{"text":"Davis, Stephen K.","contributorId":81402,"corporation":false,"usgs":true,"family":"Davis","given":"Stephen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":484126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Ryan","contributorId":98620,"corporation":false,"usgs":true,"family":"Fisher","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":484127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skinner, Susan","contributorId":54502,"corporation":false,"usgs":true,"family":"Skinner","given":"Susan","email":"","affiliations":[],"preferred":false,"id":484125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":484123,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brigham, R. Mark","contributorId":32072,"corporation":false,"usgs":true,"family":"Brigham","given":"R.","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":484124,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048250,"text":"70048250 - 2013 - Late Quaternary stratigraphy, sedimentology, and geochemistry of an underfilled lake basin in the Puna (north-west Argentina)","interactions":[],"lastModifiedDate":"2013-11-18T10:01:44","indexId":"70048250","displayToPublicDate":"2013-09-18T15:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":972,"text":"Basin Research","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary stratigraphy, sedimentology, and geochemistry of an underfilled lake basin in the Puna (north-west Argentina)","docAbstract":"Depositional models of ancient lakes in thin-skinned retroarc foreland basins rarely benefit from appropriate Quaternary analogues. To address this, we present new stratigraphic, sedimentological and geochemical analyses of four radiocarbon-dated sediment cores from the Pozuelos Basin (PB; northwest Argentina) that capture the evolution of this low-accommodation Puna basin over the past ca. 43 cal kyr. Strata from the PB are interpreted as accumulations of a highly variable, underfilled lake system represented by lake-plain/littoral, profundal, palustrine, saline lake and playa facies associations. The vertical stacking of facies is asymmetric, with transgressive and thin organic-rich highstand deposits underlying thicker, organic-poor regressive deposits. The major controls on depositional architecture and basin palaeogeography are tectonics and climate. Accommodation space was derived from piggyback basin-forming flexural subsidence and Miocene-Quaternary normal faulting associated with incorporation of the basin into the Andean hinterland. Sediment and water supply was modulated by variability in the South American summer monsoon, and perennial lake deposits correlate in time with several well-known late Pleistocene wet periods on the Altiplano/Puna plateau. Our results shed new light on lake expansion–contraction dynamics in the PB in particular and provide a deeper understanding of Puna basin lakes in general.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Basin Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/bre.12025","usgsCitation":"McGlue, M.M., Cohen, A.S., Ellis, G.S., and Kowler, A.L., 2013, Late Quaternary stratigraphy, sedimentology, and geochemistry of an underfilled lake basin in the Puna (north-west Argentina): Basin Research, v. 25, no. 6, p. 638-658, https://doi.org/10.1111/bre.12025.","productDescription":"21 p.","startPage":"638","endPage":"658","numberOfPages":"21","ipdsId":"IP-039035","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":277830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277829,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/bre.12025"}],"country":"Argentina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -66.8408,-23.926 ], [ -66.8408,-21.064 ], [ -62.9956,-21.064 ], [ -62.9956,-23.926 ], [ -66.8408,-23.926 ] ] ] } } ] }","volume":"25","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-07-03","publicationStatus":"PW","scienceBaseUri":"523abd76e4b08cabd166cb00","contributors":{"authors":[{"text":"McGlue, Michael M. mmcglue@usgs.gov","contributorId":4091,"corporation":false,"usgs":true,"family":"McGlue","given":"Michael","email":"mmcglue@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":484153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Andrew S.","contributorId":100989,"corporation":false,"usgs":true,"family":"Cohen","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":484152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kowler, Andrew L.","contributorId":36043,"corporation":false,"usgs":true,"family":"Kowler","given":"Andrew","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484154,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048242,"text":"70048242 - 2013 - Caveats on tomographic images","interactions":[],"lastModifiedDate":"2013-09-18T15:17:27","indexId":"70048242","displayToPublicDate":"2013-09-18T15:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3531,"text":"Terra Nova","active":true,"publicationSubtype":{"id":10}},"title":"Caveats on tomographic images","docAbstract":"Geological and geodynamic models of the mantle often rely on joint interpretations of published seismic tomography images and petrological/geochemical data. This approach tends to neglect the fundamental limitations of, and uncertainties in, seismic tomography results. These limitations and uncertainties involve theory, correcting for the crust, the lack of rays throughout much of the mantle, the difficulty in obtaining the true strength of anomalies, choice of what background model to subtract to reveal anomalies, and what cross-sections to select for publication. The aim of this review is to provide a relatively non-technical summary of the most important of these problems, collected together in a single paper, and presented in a form accessible to non-seismologists. Appreciation of these issues is essential if final geodynamic models are to be robust, and required by the scientific observations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Terra Nova","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/ter.12041","usgsCitation":"Foulger, G.R., Panza, G.F., Artemieva, I.M., Bastow, I.D., Cammarano, F., Evans, J.R., Hamilton, W.B., Julian, B.R., Lustrino, M., Thybo, H., and Yanovskaya, 2013, Caveats on tomographic images: Terra Nova, v. 25, no. 4, p. 258-281, https://doi.org/10.1111/ter.12041.","productDescription":"23 p.","startPage":"258","endPage":"281","numberOfPages":"23","ipdsId":"IP-043231","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473532,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1384842","text":"External Repository"},{"id":277828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277804,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/ter.12041"}],"volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-04-27","publicationStatus":"PW","scienceBaseUri":"523abd71e4b08cabd166cae4","contributors":{"authors":[{"text":"Foulger, Gillian R.","contributorId":34796,"corporation":false,"usgs":true,"family":"Foulger","given":"Gillian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":484105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Panza, Giuliano F.","contributorId":58933,"corporation":false,"usgs":true,"family":"Panza","given":"Giuliano","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":484107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Artemieva, Irina M.","contributorId":103171,"corporation":false,"usgs":true,"family":"Artemieva","given":"Irina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bastow, Ian D.","contributorId":91780,"corporation":false,"usgs":true,"family":"Bastow","given":"Ian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":484112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cammarano, Fabio","contributorId":15924,"corporation":false,"usgs":true,"family":"Cammarano","given":"Fabio","email":"","affiliations":[],"preferred":false,"id":484104,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evans, John R. jrevans@usgs.gov","contributorId":529,"corporation":false,"usgs":true,"family":"Evans","given":"John","email":"jrevans@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":484103,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hamilton, Warren B.","contributorId":74664,"corporation":false,"usgs":true,"family":"Hamilton","given":"Warren","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":484111,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Julian, Bruce R.","contributorId":50063,"corporation":false,"usgs":true,"family":"Julian","given":"Bruce","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":484106,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lustrino, Michele","contributorId":63711,"corporation":false,"usgs":true,"family":"Lustrino","given":"Michele","email":"","affiliations":[],"preferred":false,"id":484110,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thybo, Hans","contributorId":62129,"corporation":false,"usgs":true,"family":"Thybo","given":"Hans","email":"","affiliations":[],"preferred":false,"id":484108,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yanovskaya","contributorId":128096,"corporation":true,"usgs":false,"organization":"Yanovskaya","id":535593,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70048247,"text":"fs20133051 - 2013 - The 3D Elevation Program: summary for Minnesota","interactions":[],"lastModifiedDate":"2016-08-17T16:04:57","indexId":"fs20133051","displayToPublicDate":"2013-09-18T14:48:00","publicationYear":"2013","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":"2013-3051","title":"The 3D Elevation Program: summary for Minnesota","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Minnesota, elevation data are critical for agriculture and precision farming, natural resources conservation, flood risk management, infrastructure and construction management, water supply and quality, coastal zone management, and other business uses. Today, high-quality light detection and ranging (lidar) data are the sources for creating elevation models and other elevation datasets. Federal, State, and local agencies work in partnership to (1) replace data, on a national basis, that are (on average) 30 years old and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data. The new 3D Elevation Program (3DEP) initiative, managed by the U.S. Geological Survey (USGS), responds to the growing need for high-quality topographic data and a wide range of other three-dimensional representations of the Nation’s natural and constructed features.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133051","usgsCitation":"Carswell, W., 2013, The 3D Elevation Program: summary for Minnesota: U.S. Geological Survey Fact Sheet 2013-3051, 2 p., https://doi.org/10.3133/fs20133051.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":277825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133051.gif"},{"id":277823,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3051/"},{"id":277824,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3051/pdf/fs2013-3051.pdf","text":"Report","size":"353 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United 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,{"id":70048245,"text":"ofr20131160 - 2013 - Design of Cycle 3 of the National Water-Quality Assessment Program, 2013-23: Part 2: Science plan for improved water-quality information and management","interactions":[],"lastModifiedDate":"2016-01-07T17:05:29","indexId":"ofr20131160","displayToPublicDate":"2013-09-18T13:55:00","publicationYear":"2013","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":"2013-1160","subseriesTitle":"National Water-Quality Assessment Program","title":"Design of Cycle 3 of the National Water-Quality Assessment Program, 2013-23: Part 2: Science plan for improved water-quality information and management","docAbstract":"This report presents a science strategy for the third decade of the National Water-Quality Assessment (NAWQA) Program, which since 1991, has been responsible for providing nationally consistent information on the quality of the Nation's streams and groundwater; how water quality is changing over time; and the major natural and human factors that affect current water quality conditions and trends. The strategy is based on an extensive evaluation of the accomplishments of NAWQA over its first two decades, the current status of water-quality monitoring activities by USGS and its partners, and an updated analysis of stakeholder priorities. The plan is designed to address priority issues and national needs identified by NAWQA stakeholders and the National Research Council (2012) irrespective of budget constraints. This plan describes four major goals for the third decade (Cycle 3), the approaches for monitoring, modeling, and scientific studies, key partnerships required to achieve these goals, and products and outcomes that will result from planned assessment activities. The science plan for 2013–2023 is a comprehensive approach to meet stakeholder priorities for: (1) rebuilding NAWQA monitoring networks for streams, rivers, and groundwater, and (2) upgrading models used to extrapolate and forecast changes in water-quality and stream ecosystem condition in response to changing climate and land use. The Cycle 3 plan continues approaches that have been central to the Program’s long-term success, but adjusts monitoring intensities and study designs to address critical information needs and identified data gaps. Restoration of diminished monitoring networks and new directions in modeling and interpretative studies address growing and evolving public and stakeholder needs for water-quality information and improved management, particularly in the face of increasing challenges related to population growth, increasing demands for water, and changing land use and climate. However, a combination of funding growth and extensive collaboration with other USGS programs and other Federal, State, and local agencies, public interest groups, professional and trade associations, academia, and private industry will be needed to fully realize the monitoring and modeling goals laid out in this plan (USGS Fact Sheet 2013-3008).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131160","usgsCitation":"Rowe, G.L., Belitz, K., Demas, C.R., Essaid, H.I., Gilliom, R.J., Hamilton, P.A., Hoos, A.B., Lee, C., Munn, M.D., and Wolock, D.W., 2013, Design of Cycle 3 of the National Water-Quality Assessment Program, 2013-23: Part 2: Science plan for improved water-quality information and management: U.S. Geological Survey Open-File Report 2013-1160, xiv, 110 p., https://doi.org/10.3133/ofr20131160.","productDescription":"xiv, 110 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":277822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131160.gif"},{"id":277820,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1160/"},{"id":277821,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1160/pdf/OF13-1160.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"523abd72e4b08cabd166cae8","contributors":{"authors":[{"text":"Rowe, Gary L. glrowe@usgs.gov","contributorId":1779,"corporation":false,"usgs":true,"family":"Rowe","given":"Gary","email":"glrowe@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":484131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","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}],"preferred":true,"id":484136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Demas, Charlie R.","contributorId":11929,"corporation":false,"usgs":true,"family":"Demas","given":"Charlie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":484134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Essaid, Hedeff I. 0000-0003-0154-8628 hiessaid@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8628","contributorId":2284,"corporation":false,"usgs":true,"family":"Essaid","given":"Hedeff","email":"hiessaid@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - 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,{"id":70048233,"text":"70048233 - 2013 - Probabilistic accounting of uncertainty in forecasts of species distributions under climate change","interactions":[],"lastModifiedDate":"2013-10-23T14:48:52","indexId":"70048233","displayToPublicDate":"2013-09-18T10:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Probabilistic accounting of uncertainty in forecasts of species distributions under climate change","docAbstract":"Forecasts of species distributions under future climates are inherently uncertain, but there have been few attempts to describe this uncertainty comprehensively in a probabilistic manner. We developed a Monte Carlo approach that accounts for uncertainty within generalized linear regression models (parameter uncertainty and residual error), uncertainty among competing models (model uncertainty), and uncertainty in future climate conditions (climate uncertainty) to produce site-specific frequency distributions of occurrence probabilities across a species’ range. We illustrated the method by forecasting suitable habitat for bull trout (Salvelinus confluentus) in the Interior Columbia River Basin, USA, under recent and projected 2040s and 2080s climate conditions. The 95% interval of total suitable habitat under recent conditions was estimated at 30.1–42.5 thousand km; this was predicted to decline to 0.5–7.9 thousand km by the 2080s. Projections for the 2080s showed that the great majority of stream segments would be unsuitable with high certainty, regardless of the climate data set or bull trout model employed. The largest contributor to uncertainty in total suitable habitat was climate uncertainty, followed by parameter uncertainty and model uncertainty. Our approach makes it possible to calculate a full distribution of possible outcomes for a species, and permits ready graphical display of uncertainty for individual locations and of total habitat.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"John Wiley & Sons Ltd","doi":"10.1111/gcb.12294","usgsCitation":"Wenger, S.J., Som, N.A., Dauwalter, D.C., Isaak, D.J., Neville, H.M., Luce, C.H., Dunham, J., Young, M.K., Fausch, K., and Rieman, B.E., 2013, Probabilistic accounting of uncertainty in forecasts of species distributions under climate change: Global Change Biology, v. 19, no. 11, p. 3343-3354, https://doi.org/10.1111/gcb.12294.","productDescription":"12 p.","startPage":"3343","endPage":"3354","numberOfPages":"12","ipdsId":"IP-048847","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":277803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277801,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gcb.12294"}],"country":"United States","state":"Idaho;Montana","otherGeospatial":"Interior Columbia River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.53,41.86 ], [ -117.53,49.0 ], [ -110.19,49.0 ], [ -110.19,41.86 ], [ -117.53,41.86 ] ] ] } } ] }","volume":"19","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-09-03","publicationStatus":"PW","scienceBaseUri":"523abd77e4b08cabd166cb04","contributors":{"authors":[{"text":"Wenger, Seth J.","contributorId":64786,"corporation":false,"usgs":true,"family":"Wenger","given":"Seth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Som, Nicholas A.","contributorId":36039,"corporation":false,"usgs":true,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dauwalter, Daniel C.","contributorId":69879,"corporation":false,"usgs":true,"family":"Dauwalter","given":"Daniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":484076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isaak, Daniel J.","contributorId":57202,"corporation":false,"usgs":true,"family":"Isaak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neville, Helen M.","contributorId":21273,"corporation":false,"usgs":true,"family":"Neville","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luce, Charles H.","contributorId":65980,"corporation":false,"usgs":true,"family":"Luce","given":"Charles","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":484075,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dunham, Jason B.","contributorId":64791,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","affiliations":[],"preferred":false,"id":484074,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Young, Michael K.","contributorId":34253,"corporation":false,"usgs":true,"family":"Young","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":484070,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fausch, Kurt D. 0000-0001-5825-7560","orcid":"https://orcid.org/0000-0001-5825-7560","contributorId":29370,"corporation":false,"usgs":false,"family":"Fausch","given":"Kurt D.","affiliations":[],"preferred":false,"id":484069,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rieman, Bruce E.","contributorId":107420,"corporation":false,"usgs":true,"family":"Rieman","given":"Bruce","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":484077,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
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