{"pageNumber":"1353","pageRowStart":"33800","pageSize":"25","recordCount":184757,"records":[{"id":70121935,"text":"70121935 - 2014 - Relatively high prevalence of pox-like lesions in Henslow's Sparrow (Ammodramus henslowii) among nine species of migratory grassland passerines in Wisconsin, USA","interactions":[],"lastModifiedDate":"2015-05-20T13:35:57","indexId":"70121935","displayToPublicDate":"2014-08-26T13:34:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Relatively high prevalence of pox-like lesions in Henslow's Sparrow (Ammodramus henslowii) among nine species of migratory grassland passerines in Wisconsin, USA","docAbstract":"

Globally, Avipoxvirus species affect over 230 species of wild birds and can significantly impair survival. During banding of nine grassland songbird species (n = 346 individuals) in southwestern Wisconsin, USA, we noted species with a 2–6% prevalence of pox-like lesions (possible evidence of current infection) and 4–10% missing digits (potential evidence of past infection). These prevalences approach those recorded among island endemic birds (4–9% and 9–20% for the Galapagos and Hawaii, respectively) for which Avipoxvirus species have been implicated as contributing to dramatic population declines. Henslow's Sparrow Ammodramus henslowii (n = 165 individuals) had the highest prevalence of lesions (6.1%) and missing digits (9.7%). Among a subset of 26 Henslow's Sparrows from which blood samples were obtained, none had detectable antibody reactive to fowlpox virus antigen. However, four samples (18%) had antibody to canarypox virus antigen with test sample and negative control ratios (P/N values) ranging from 2.4 to 6.5 (median 4.3). Of four antibody-positive birds, two had lesions recorded (one was also missing a digit), one had digits missing, and one had no signs. Additionally, the birds with lesions or missing digits had higher P/N values than did the antibody-positive bird without missing digits or recorded lesions. This study represents an impetus for considering the impacts and dynamics of disease caused by Avipoxvirus among North American grassland bird species.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Diseases","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2013-09-252","usgsCitation":"Ellison, K.S., Hofmeister, E.K., Ribic, C.A., and Sample, D.W., 2014, Relatively high prevalence of pox-like lesions in Henslow's Sparrow (Ammodramus henslowii) among nine species of migratory grassland passerines in Wisconsin, USA: Journal of Wildlife Diseases, v. 50, no. 4, p. 810-816, https://doi.org/10.7589/2013-09-252.","productDescription":"7 p.","startPage":"810","endPage":"816","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056255","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":472810,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/2013-09-252","text":"Publisher Index 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-92.6531982421875,\n 44.555249259710656\n ],\n [\n -92.30712890625,\n 44.378839759088585\n ],\n [\n -91.9500732421875,\n 44.174324837518895\n ],\n [\n -91.58203125,\n 43.94537239244209\n ],\n [\n -91.3623046875,\n 43.874138181474734\n ],\n [\n -91.3677978515625,\n 43.600284023536325\n ],\n [\n -91.285400390625,\n 43.37311218382002\n ],\n [\n -91.25244140624999,\n 43.104993581605505\n ],\n [\n -91.23046875,\n 42.976520698105546\n ],\n [\n -91.1260986328125,\n 42.67435857693384\n ],\n [\n -90.75256347656249,\n 42.577354839557856\n ],\n [\n -90.64544677734375,\n 42.48830197960227\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"50","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fd9133e4b0adaeea6c1748","contributors":{"authors":[{"text":"Ellison, Kevin S.","contributorId":35655,"corporation":false,"usgs":true,"family":"Ellison","given":"Kevin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":499361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hofmeister, Erik K. 0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":499359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ribic, Christine A. caribic@usgs.gov","contributorId":831,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":499358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sample, David W.","contributorId":19484,"corporation":false,"usgs":true,"family":"Sample","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":499360,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70121924,"text":"70121924 - 2014 - Experimental investigation of changes in methane adsorption of bitumen-free Woodford Shale with thermal maturation induced by hydrous pyrolysis","interactions":[],"lastModifiedDate":"2014-08-26T11:54:28","indexId":"70121924","displayToPublicDate":"2014-08-26T11:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Experimental investigation of changes in methane adsorption of bitumen-free Woodford Shale with thermal maturation induced by hydrous pyrolysis","docAbstract":"

This study quantifies the effects of organic-matter (OM) thermal maturity on methane (CH4) sorption, on the basis of five samples that were artificially matured through hydrous pyrolysis achieved by heating samples of immature Woodford Shale under five different time–temperature conditions. CH4-sorption isotherms at 35 °C, 50 °C, and 65 °C, and pressures up to 14 MPa on dry, solvent-extracted samples of the artificially matured Woodford Shale were measured. The results showed that CH4-sorption capacity, normalized to TOC, varied with thermal maturity, following the trend: maximum oil (367 °C) > oil cracking (400 °C) > maximum bitumen/early oil (333 °C) > early bitumen (300 °C) > immature stage (130 °C). The Langmuir constants for the samples at maximum-oil and oil-cracking stages are larger than the values for the bitumen-forming stages.

\n
\n

The total pore volume, determined by N2 physisorption at 77 K, increases with increased maturation: mesopores, 2–50 nm in width, were created during the thermal conversion of organic-matter and a dramatic increase in porosity appeared when maximum-bitumen and maximum-oil generation stages were reached. A linear relationship between thermal maturity and Brunauer–Emmett–Teller (BET) surface area suggests that the observed increase in CH4-sorption capacity may be the result of mesopores produced during OM conversion. No obvious difference is observed in pore-size distribution and pore volume for samples with pores <2.0 nm with the increase of thermal maturity based on CO2 physisorption at 273 K.

\n
\n

The isosteric heat of adsorption and the standard entropy for artificially matured samples ranged from 17.9 kJ mol−1 to 21.9 kJ mol−1 and from −85.4 J mol−1 K−1 to −101.8 J mol−1 K−1, respectively. These values are similar to the values of immature Woodford kerogen concentrate previously observed, but are larger than naturally matured organic-rich shales. High-temperature hydrous pyrolysis might have induced Lewis acid sites on both organic and mineral surfaces, resulting to some extent, in chemical interactions between the adsorption site and the methane C–H bonds.

\n
\n

The formation of abundant mesopores (2–50 nm) within organic matter during organic-matter thermal maturation makes a great contribution to the increase in both BET surface area and pore volume, and a significant increase in 2–6 nm pores occurs at maximum-oil-generation and oil-cracking to gas, ultimately controlling the methane-adsorption capacity. Therefore, consideration of pore-size effects and thermal maturity is very important for gas in place (GIP) prediction in organic-rich shales.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine and Petroleum Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2014.07.029","usgsCitation":"Hu, H., Zhang, T., Wiggins-Camacho, J.D., Ellis, G.S., Lewan, M., and Zhang, X., 2014, Experimental investigation of changes in methane adsorption of bitumen-free Woodford Shale with thermal maturation induced by hydrous pyrolysis: Marine and Petroleum Geology, v. 59, p. 114-128, https://doi.org/10.1016/j.marpetgeo.2014.07.029.","productDescription":"15 p.","startPage":"114","endPage":"128","numberOfPages":"15","ipdsId":"IP-051969","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":488288,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://ir.lzu.edu.cn/handle/262010/120537","text":"External Repository"},{"id":293029,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292985,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2014.07.029"}],"volume":"59","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fd9130e4b0adaeea6c1738","contributors":{"authors":[{"text":"Hu, Haiyan","contributorId":71489,"corporation":false,"usgs":true,"family":"Hu","given":"Haiyan","email":"","affiliations":[],"preferred":false,"id":499347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Tongwei","contributorId":107595,"corporation":false,"usgs":true,"family":"Zhang","given":"Tongwei","affiliations":[],"preferred":false,"id":499348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiggins-Camacho, Jaclyn D.","contributorId":49717,"corporation":false,"usgs":true,"family":"Wiggins-Camacho","given":"Jaclyn","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":499345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":499344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lewan, Michael D. mlewan@usgs.gov","contributorId":940,"corporation":false,"usgs":true,"family":"Lewan","given":"Michael D.","email":"mlewan@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":499343,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Xiayong","contributorId":62147,"corporation":false,"usgs":true,"family":"Zhang","given":"Xiayong","email":"","affiliations":[],"preferred":false,"id":499346,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70119959,"text":"ds876 - 2014 - Dissolved pesticide concentrations entering the Sacramento-San Joaquin Delta from the Sacramento and San Joaquin Rivers, California, 2012-13","interactions":[],"lastModifiedDate":"2014-08-26T08:54:44","indexId":"ds876","displayToPublicDate":"2014-08-26T08:47:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"876","title":"Dissolved pesticide concentrations entering the Sacramento-San Joaquin Delta from the Sacramento and San Joaquin Rivers, California, 2012-13","docAbstract":"

Surface-water samples were collected from the Sacramento and San Joaquin Rivers where they enter the Sacramento–San Joaquin Delta, and analyzed by the U.S. Geological Survey for a suite of 99 current-use pesticides and pesticide degradates. Samples were collected twice per month from May 2012 through July 2013 and from May 2012 through April 2013 at the Sacramento River at Freeport, and the San Joaquin River near Vernalis, respectively. Samples were analyzed by two separate laboratory methods by using gas chromatography with mass spectrometry or liquid chromatography with tandem mass spectrometry. Method detection limits ranged from 0.9 to 10.5 nanograms per liter (ng/L).

\n
\n

A total of 37 pesticides and degradates were detected in water samples collected during the study (18 herbicides, 11 fungicides, 7 insecticides, and 1 synergist). The most frequently detected pesticides overall were the herbicide hexazinone (detected in 100 percent of the samples); 3,4-dichloroaniline (97 percent), which is a degradate of the herbicides diuron and propanil; the fungicide azoxystrobin (83 percent); and the herbicides diuron (72 percent), simazine (66 percent), and metolachlor (64 percent). Insecticides were rarely detected during the study. Pesticide concentrations varied from below the method detection limits to 984 ng/L (hexazinone).

\n
\n

Twenty seven pesticides and (or) degradates were detected in Sacramento River samples, and the average number of pesticides per sample was six. The most frequently detected compounds in these samples were hexazinone (detected in 100 percent of samples), 3,4-dichloroaniline (97 percent), azoxystrobin (88 percent), diuron (56 percent), and simazine (50 percent). Pesticides with the highest detected maximum concentrations in Sacramento River samples included the herbicide clomazone (670 ng/L), azoxystrobin (368 ng/L), 3,4-dichloroaniline (364 ng/L), hexazinone (130 ng/L), and propanil (110 ng/L), and all but hexazinone are primarily associated with rice agriculture.

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\n

In addition to the twice monthly sampling, surface-water samples were collected from the Sacramento River on 5 consecutive days following a rainfall event in the Sacramento urban area. Samples collected following this event contained an average of 11 pesticides. The insecticides carbaryl, fipronil, and imidacloprid; the herbicide DCPA; and the fungicide imazalil were only detected in the Sacramento River during this storm-runoff event, and two detections of fipronil during this period exceeded the U.S. Environmental Protection Agency Aquatic Life Benchmark (11 ng/L) for chronic toxicity to invertebrates in freshwater.

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\n

In San Joaquin River samples, 26 pesticides and (or) degradates were detected, and the average number detected per sample was 9. The most frequently detected compounds in these samples were hexazinone and metolachlor (detected in 100 percent of samples); diuron (96 percent); the fungicide boscalid (96 percent); the degradates 3,4-dicloroaniline (92 percent) and NN-(3,4-Dichlorophenyl)-N’-methylurea (DCPMU; 83 percent); simazine (83 percent); and azoxystrobin (75 percent). The pesticides with the highest detected maximum concentrations were hexazinone (984 ng/L), diuron (695 ng/L), simazine (524 ng/L), the herbicide prometryn (155 ng/L), metolachlor (127 ng/L), boscalid (112 ng/L), DCPMU (111 ng/L), and the herbicide pendimethalin (108 ng/L).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds876","collaboration":"Prepared in cooperation with the San Luis and Delta Mendota Water Authority","usgsCitation":"Orlando, J., McWayne, M., Sanders, C., and Hladik, M., 2014, Dissolved pesticide concentrations entering the Sacramento-San Joaquin Delta from the Sacramento and San Joaquin Rivers, California, 2012-13: U.S. Geological Survey Data Series 876, viii, 28 p., https://doi.org/10.3133/ds876.","productDescription":"viii, 28 p.","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-052843","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":293014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds876.jpg"},{"id":293013,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0876/pdf/ds876.pdf"},{"id":293009,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0876"}],"projection":"Albers Equal Area Projection","datum":"North American Datum of 1983","country":"United States","state":"California","otherGeospatial":"Sacramento�san Joaquin Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.00,36.00 ], [ -124.00,40.00 ], [ -120.00,40.00 ], [ -120.00,36.00 ], [ -124.00,36.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fd912fe4b0adaeea6c1730","contributors":{"authors":[{"text":"Orlando, James L. 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":95954,"corporation":false,"usgs":true,"family":"Orlando","given":"James L.","affiliations":[],"preferred":false,"id":497873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McWayne, Megan 0000-0001-8069-6420","orcid":"https://orcid.org/0000-0001-8069-6420","contributorId":36038,"corporation":false,"usgs":true,"family":"McWayne","given":"Megan","affiliations":[],"preferred":false,"id":497870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanders, Corey 0000-0001-7743-6396","orcid":"https://orcid.org/0000-0001-7743-6396","contributorId":39682,"corporation":false,"usgs":true,"family":"Sanders","given":"Corey","affiliations":[],"preferred":false,"id":497871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hladik, Michelle 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":45990,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","affiliations":[],"preferred":false,"id":497872,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70119004,"text":"sir20145144 - 2014 - Influence of septic systems on stream base flow in the Apalachicola-Chattahoochee-Flint River Basin near Metropolitan Atlanta, Georgia, 2012","interactions":[],"lastModifiedDate":"2017-01-18T13:14:34","indexId":"sir20145144","displayToPublicDate":"2014-08-26T08:35:00","publicationYear":"2014","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":"2014-5144","title":"Influence of septic systems on stream base flow in the Apalachicola-Chattahoochee-Flint River Basin near Metropolitan Atlanta, Georgia, 2012","docAbstract":"

Septic systems were identified at 241,733 locations in a 2,539-square-mile (mi2) study area that includes all or parts of 12 counties in the Metropolitan Atlanta, Georgia, area. Septic system percolation may locally be an important component of streamflow in small drainage basins where it augments natural groundwater recharge, especially during extreme low-flow conditions. The amount of groundwater reaching streams depends on how much is intercepted by plants or infiltrates to deeper parts of the groundwater system that flows beyond a basin divide and does not discharge into streams within a basin.

\n
\n

The potential maximum percolation from septic systems in the study area is 62 cubic feet per second (ft3/s), of which 52 ft3/s is in the Chattahoochee River Basin and 10 ft3/s is in the Flint River Basin. These maximum percolation rates represent 0.4 to 5.7 percent of daily mean streamflow during the 2011–12 period at the farthest downstream gaging site (station 02338000) on the Chattahoochee River, and 0.5 to 179 percent of daily mean streamflow at the farthest downstream gaging site on the Flint River (02344350).

\n
\n

To determine the difference in base flow between basins having different septic system densities, hydrograph separation analysis was completed using daily mean streamflow data at streamgaging stations at Level Creek (site 02334578), with a drainage basin having relatively high septic system density of 101 systems per square mile, and Woodall Creek (site 02336313), with a drainage basin having relatively low septic system density of 18 systems per square mile. Results indicated that base-flow yield during 2011–12 was higher at the Level Creek site, with a median of 0.47 cubic feet per second per square mile ([ft3/s]/mi2), compared to a median of 0.16 (ft3/s)/mi2, at the Woodall Creek site. At the less urbanized Level Creek site, there are 515 septic systems with a daily maximum percolation rate of 0.14 ft3/s, accounting for 11 percent of the base flow in September 2012. At the more urban Woodall Creek site, there are 50 septic systems with an average daily maximum percolation rate of 0.0097 ft3/s, accounting for 5 percent of base flow in September 2012.

\n
\n

Streamflow measurements at 133 small drainage basins (less than 5 mi2 in area) during September 2012 indicated no statistically significant difference in streamflow or specific conductance between basins having high and low density of septic systems (HDS and LDS, respectively). The median base-flow yield was 0.04 (f3/s)/mi2 for HDS sites, ranging from 0 to 0.52 (ft3/s)/mi2, and 0.10 (ft3/s)/mi2 for LDS sites, ranging from 0 to 0.49 (ft3/s)/mi2. A Wilcoxon rank-sum test indicated the median base-flow yields for HDS and LDS sites were not statistically different, with a p-value of 0.345.

\n
\n

Because of the large size of the study area and associated variations in basin characteristics, data collected in September 2012 were also evaluated on the basis of the basins physical characteristics in an attempt to reduce or eliminate other basin characteristics that might affect base flow. Basins were evaluated based on geologic area, four geographic subareas, and 45-meter (147.6 ft) buffer zone; there were no statistically significant differences between median base-flow yield for HDS and LDS basins. It is probable that detection of the contribution from septic system percolation in base flow at many of the sites visited in September 2012 was obscured by a combination of the limitations of measurement accuracy and evapotranspiration. Detection of septic system percolation may also have been complicated by leaky water and sewer mains, which may have resulted in higher streamflows in LDS basins relative to HDS basins.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145144","collaboration":"National Water Census and National Streamflow Information Program","usgsCitation":"Clarke, J.S., and Painter, J.A., 2014, Influence of septic systems on stream base flow in the Apalachicola-Chattahoochee-Flint River Basin near Metropolitan Atlanta, Georgia, 2012: U.S. Geological Survey Scientific Investigations Report 2014-5144, viii, 68 p., https://doi.org/10.3133/sir20145144.","productDescription":"viii, 68 p.","numberOfPages":"80","onlineOnly":"Y","ipdsId":"IP-050847","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":293012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145144.jpg"},{"id":293010,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5144/"},{"id":293011,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5144/pdf/sir2014-5144.pdf"}],"scale":"100000","country":"United States","state":"Georgia","city":"Atlanta","otherGeospatial":"Apalachicola-Chattahoochee-Flint River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.25,33.00 ], [ -85.25,34.75 ], [ -83.75,34.75 ], [ -83.75,33.00 ], [ -85.25,33.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fd9131e4b0adaeea6c173a","contributors":{"authors":[{"text":"Clarke, John S. jsclarke@usgs.gov","contributorId":400,"corporation":false,"usgs":true,"family":"Clarke","given":"John","email":"jsclarke@usgs.gov","middleInitial":"S.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497570,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189956,"text":"70189956 - 2014 - Effects of permafrost thaw on CO2 and CH4 exchange in a western Alaska peatland chronosequence","interactions":[],"lastModifiedDate":"2018-06-19T19:52:05","indexId":"70189956","displayToPublicDate":"2014-08-26T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Effects of permafrost thaw on CO2 and CH4 exchange in a western Alaska peatland chronosequence","docAbstract":"

Permafrost soils store over half of global soil carbon (C), and northern frozen peatlands store about 10% of global permafrost C. With thaw, inundation of high latitude lowland peatlands typically increases the surface-atmosphere flux of methane (CH4), a potent greenhouse gas. To examine the effects of lowland permafrost thaw over millennial timescales, we measured carbon dioxide (CO2) and CH4 exchange along sites that constitute a ~1000 yr thaw chronosequence of thermokarst collapse bogs and adjacent fen locations at Innoko Flats Wildlife Refuge in western Alaska. Peak CH4exchange in July (123 ± 71 mg CH4–C m−2 d−1) was observed in features that have been thawed for 30 to 70 (<100) yr, where soils were warmer than at more recently thawed sites (14 to 21 yr; emitting 1.37 ± 0.67 mg CH4–C m−2 d−1 in July) and had shallower water tables than at older sites (200 to 1400 yr; emitting 6.55 ± 2.23 mg CH4–C m−2 d−1 in July). Carbon lost via CH4 efflux during the growing season at these intermediate age sites was 8% of uptake by net ecosystem exchange. Our results provide evidence that CH4 emissions following lowland permafrost thaw are enhanced over decadal time scales, but limited over millennia. Over larger spatial scales, adjacent fen systems may contribute sustained CH4 emission, CO2 uptake, and DOC export. We argue that over timescales of decades to centuries, thaw features in high-latitude lowland peatlands, particularly those developed on poorly drained mineral substrates, are a key locus of elevated CH4 emission to the atmosphere that must be considered for a complete understanding of high latitude CH4 dynamics.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/9/8/085004","usgsCitation":"Johnston, C.E., Ewing, S.A., Harden, J.W., Ruth K. Varner, Wickland, K.P., Koch, J.C., Fuller, C.C., Manies, K.L., and Jorgenson, M.T., 2014, Effects of permafrost thaw on CO2 and CH4 exchange in a western Alaska peatland chronosequence: Environmental Research Letters, v. 8, no. 085004, p. 1-12, https://doi.org/10.1088/1748-9326/9/8/085004.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-056073","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472813,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/9/8/085004","text":"Publisher Index Page"},{"id":344458,"rank":1,"type":{"id":12,"text":"Errata"},"url":"https://iopscience.iop.org/article/10.1088/1748-9326/9/10/109601/meta;jsessionid=5C78E7E8D66473D55CC29051DC45FD74.c3.iopscience.cld.iop.org"},{"id":344459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.8128662109375,\n 63.10718453713859\n ],\n [\n -158.16467285156247,\n 63.10718453713859\n ],\n [\n -158.16467285156247,\n 63.393981979471064\n ],\n [\n -158.8128662109375,\n 63.393981979471064\n ],\n [\n -158.8128662109375,\n 63.10718453713859\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"085004","edition":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-27","publicationStatus":"PW","scienceBaseUri":"5980419ce4b0a38ca278935a","contributors":{"authors":[{"text":"Johnston, Carmel E.","contributorId":195362,"corporation":false,"usgs":false,"family":"Johnston","given":"Carmel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":706876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ewing, Stephanie A.","contributorId":195363,"corporation":false,"usgs":false,"family":"Ewing","given":"Stephanie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":706877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics 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":true,"id":706878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruth K. Varner","contributorId":195365,"corporation":false,"usgs":false,"family":"Ruth K. Varner","affiliations":[],"preferred":false,"id":706880,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":706875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":706881,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":706882,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Manies, Kristen L. 0000-0003-4941-9657 kmanies@usgs.gov","orcid":"https://orcid.org/0000-0003-4941-9657","contributorId":2136,"corporation":false,"usgs":true,"family":"Manies","given":"Kristen","email":"kmanies@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":706955,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jorgenson, M. Torre","contributorId":195366,"corporation":false,"usgs":false,"family":"Jorgenson","given":"M.","email":"","middleInitial":"Torre","affiliations":[],"preferred":false,"id":706883,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70129362,"text":"70129362 - 2014 - Abiotic/biotic coupling in the rhizosphere: a reactive transport modeling analysis","interactions":[],"lastModifiedDate":"2014-12-04T15:29:17","indexId":"70129362","displayToPublicDate":"2014-08-26T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3828,"text":"Procedia Earth and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"Abiotic/biotic coupling in the rhizosphere: a reactive transport modeling analysis","docAbstract":"

A new generation of models is needed to adequately simulate patterns of soil biogeochemical cycling in response changing global environmental drivers. For example, predicting the influence of climate change on soil organic matter storage and stability requires models capable of addressing complex biotic/abiotic interactions of rhizosphere and weathering processes. Reactive transport modeling provides a powerful framework simulating these interactions and the resulting influence on soil physical and chemical characteristics. Incorporation of organic reactions in an existing reactive transport model framework has yielded novel insights into soil weathering and development but much more work is required to adequately capture root and microbial dynamics in the rhizosphere. This endeavor provides many advantages over traditional soil biogeochemical models but also many challenges.

","conferenceTitle":"Geochemistry of the Earth's surface GES-10","conferenceDate":"August 18-23, 2014","conferenceLocation":"Paris, France","language":"English","publisher":"Elsevier","doi":"10.1016/j.proeps.2014.08.037","usgsCitation":"Lawrence, C., Steefel, C., and Maher, K., 2014, Abiotic/biotic coupling in the rhizosphere: a reactive transport modeling analysis: Procedia Earth and Planetary Science, v. 10, p. 104-108, https://doi.org/10.1016/j.proeps.2014.08.037.","productDescription":"5 p.","startPage":"104","endPage":"108","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057607","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":472812,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.proeps.2014.08.037","text":"Publisher Index Page"},{"id":296445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"548193b9e4b0aa6d778520e0","contributors":{"authors":[{"text":"Lawrence, Corey R. clawrence@usgs.gov","contributorId":4478,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey R.","email":"clawrence@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":519856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steefel, Carl","contributorId":66932,"corporation":false,"usgs":false,"family":"Steefel","given":"Carl","email":"","affiliations":[{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":525608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maher, Kate","contributorId":97824,"corporation":false,"usgs":false,"family":"Maher","given":"Kate","affiliations":[{"id":7039,"text":"Stanford University, Department of Geoloigcal and Environmental Sciences, Stanford, CA","active":true,"usgs":false}],"preferred":false,"id":525609,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70121632,"text":"ofr20141178 - 2014 - Resource manager information needs regarding hydrologic regime shifts for the North Pacific Landscape Conservation","interactions":[],"lastModifiedDate":"2014-08-25T14:19:27","indexId":"ofr20141178","displayToPublicDate":"2014-08-25T13:00:00","publicationYear":"2014","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":"2014-1178","title":"Resource manager information needs regarding hydrologic regime shifts for the North Pacific Landscape Conservation","docAbstract":"

Landscape Conservation Cooperatives (LCCs) are a network of 22 public-private partnerships, defined by ecoregion, that share and provide science to ensure the sustainability of land, water, wildlife, and cultural resources in North America. LCCs were established by the U.S. Department of the Interior (DOI) in recognition of the fact that response to climate change must be coordinated on a landscape-level basis because important resources, ecosystem processes, and resource management challenges extend beyond most of the boundaries considered in current natural resource management.

\n
\n

The North Pacific LCC (NPLCC) covers the range of the Pacific coastal temperate rainforest, including an area of 528,360 km2 spanning 22 degrees of latitude from the Kenai Peninsula, Alaska, to Bodega Bay, California. The coverage area includes parts of four States, two Canadian provinces, and more than 100 Tribes and First Nation language groups. It extends from alpine areas at the crest of coastal mountains across subalpine, montane, and lowland forests to the nearshore marine environment. This wide range of latitudes and elevation zones; terrestrial, freshwater, and marine habitats; and complex jurisdictional boundaries hosts a diversity of natural resources and their corresponding management issues are equally diverse.

\n
\n

As evidenced by the Science and Traditional Ecological Knowledge (S-TEK) Strategy guiding principles, identifying and responding to the needs of resource managers is key to the success of the NPLCC. To help achieve this goal of the NPLCC, the U.S. Geological Survey (USGS) has organized several workshops with resource managers and resource scientists to identify management information needs relevant to the priority topics identified in the S-TEK Strategy. Here, we detail the results from a first workshop to address the effects of changes in hydrologic regime on rivers, streams, and riparian corridors. The workshop focused on a subset of the full NPLCC geography and was structured to answer the following questions:

\n
\n

What are the valued resources and services that may be affected by hydrologic regime changes in the region?

\n

What are the management goals for those resources?

\n

How is climate change anticipated to affect valued resources and goals?

\n

What adaptation strategies may managers use in response to anticipated changes in resources due to climate-related hydrologic change?

\n

What information is needed to inform and use management responses?

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141178","collaboration":"Prepared in cooperation with the North Pacific Landscape Conservation Cooperative.","usgsCitation":"Woodward, A., and Jenni, K., 2014, Resource manager information needs regarding hydrologic regime shifts for the North Pacific Landscape Conservation: U.S. Geological Survey Open-File Report 2014-1178, iv, 28 p., https://doi.org/10.3133/ofr20141178.","productDescription":"iv, 28 p.","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-058025","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":292988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141178.PNG"},{"id":292986,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1178/"},{"id":292987,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1178/pdf/ofr2014-1178.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -152.0879,38.295711 ], [ -152.0879,60.92 ], [ -122.986329,60.92 ], [ -122.986329,38.295711 ], [ -152.0879,38.295711 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fc3fb4e4b0413fd75d298e","contributors":{"authors":[{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":499238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenni, Karen","contributorId":101520,"corporation":false,"usgs":true,"family":"Jenni","given":"Karen","affiliations":[],"preferred":false,"id":499239,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70121631,"text":"ofr20141177 - 2014 - Behavior and dam passage of juvenile Chinook salmon at Cougar Reservoir and Dam, Oregon, March 2012 - February 2013","interactions":[],"lastModifiedDate":"2014-08-25T13:58:24","indexId":"ofr20141177","displayToPublicDate":"2014-08-25T12:38:00","publicationYear":"2014","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":"2014-1177","title":"Behavior and dam passage of juvenile Chinook salmon at Cougar Reservoir and Dam, Oregon, March 2012 - February 2013","docAbstract":"The movements and dam passage of individual juvenile Chinook salmon (Oncorhynchus tshawytscha) were studied at Cougar Reservoir and Dam, near Springfield, Oregon, during 2012 and 2013. Cougar Dam is a high-head flood-control reservoir with a temperature control tower as its outlet enabling selective withdrawals of water at various depths to control the temperature of water passed downstream. This report describes the second year of a 2-year study with the goal of providing information to inform decisions about future downstream passage alternatives. Inferences were based on the behavior of yearling-size juvenile Chinook salmon implanted with acoustic transmitters. The fish were released near the head of the reservoir during the spring (March, April, and May) and fall (September, October, and November) of 2012. Most tagged fish were of hatchery origin (468 spring, 449 fall) because of the low number of wild fish captured from within the reservoir (0 spring, 65 fall). Detections at hydrophones placed in several lines across the reservoir and within a collective system used to estimate three-dimensional positions near the temperature control tower were used to determine fish behavior and factors affecting dam passage rates. Most tagged fish made repeated non-random migrations from one end of the reservoir to the other and took a median of 3.7–11.7 days to travel about 7 kilometers from the release site to within about 100 meters of the temperature control tower, depending on season and origin. Reservoir passage efficiency (percentage of tagged fish detected at the head of the forebay) was 97.8 percent for hatchery fish and 74.2 percent for wild fish. Tagged fish commonly were within about 100 meters of the temperature control tower, and often spent considerable time near the entrance to the tower; however, the dam passage efficiency (percentage of dam passage of fish detected at the head of the forebay) was low for fish released during the spring (11.1 percent) and moderate for fish released during the fall (58.1 percent for hatchery fish, 65.2 percent for wild fish) over the 90th percentile of the empirically determined tag life, which was about 90 days. The primary factors affecting the dam passage rate were diel period, dam discharge, and reservoir elevation, and most passage occurred during conditions of night, high dam discharge, and low reservoir elevation. Most fish entering the temperature control tower passed the dam without returning to the reservoir. The common presence of tagged fish near the tower entrance and high proportion of dam passage after tower entry suggests that the primary cause of the poor dam passage rate was the low rate of tower entry. We hypothesize that fish reject the tower entrance because of low water velocities contributing to a small flow field, an abrupt deceleration at the trash rack, or a combination of those two conditions. Results of a controlled test of head differential (the difference between water elevation outside and inside the temperature control tower) indicated weak statistical support (P= 0.0930) for a greater tower entry rate when the differential was 0.65–1.00 foot compared to 0.00–0.30 foot. Results from hatchery and wild fish were similar, with the exception of the reservoir passage efficiency, indicating hatchery fish were suitable surrogates for the wild fish for the purpose of this study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141177","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Beeman, J.W., Hansel, H.C., Hansen, A.C., Evans, S.D., Haner, P.V., Hatton, T., Kofoot, E.E., Sprando, J.M., and Smith, C.D., 2014, Behavior and dam passage of juvenile Chinook salmon at Cougar Reservoir and Dam, Oregon, March 2012 - February 2013: U.S. Geological Survey Open-File Report 2014-1177, vi, 52 p., https://doi.org/10.3133/ofr20141177.","productDescription":"vi, 52 p.","numberOfPages":"62","onlineOnly":"Y","temporalStart":"2012-03-01","temporalEnd":"2013-02-28","ipdsId":"IP-052869","costCenters":[{"id":654,"text":"Western Fisheries Research 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jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansel, Hal C. 0000-0002-3537-8244 hhansel@usgs.gov","orcid":"https://orcid.org/0000-0002-3537-8244","contributorId":2887,"corporation":false,"usgs":true,"family":"Hansel","given":"Hal","email":"hhansel@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Amy C. 0000-0002-0298-9137 achansen@usgs.gov","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":4350,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","email":"achansen@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, Scott D. 0000-0003-0452-7726 sdevans@usgs.gov","orcid":"https://orcid.org/0000-0003-0452-7726","contributorId":4408,"corporation":false,"usgs":true,"family":"Evans","given":"Scott","email":"sdevans@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499236,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haner, Philip V. 0000-0001-6940-487X phaner@usgs.gov","orcid":"https://orcid.org/0000-0001-6940-487X","contributorId":2364,"corporation":false,"usgs":true,"family":"Haner","given":"Philip","email":"phaner@usgs.gov","middleInitial":"V.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499229,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatton, Tyson thatton@usgs.gov","contributorId":3573,"corporation":false,"usgs":true,"family":"Hatton","given":"Tyson","email":"thatton@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499233,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kofoot, Eric E. pkofoot@usgs.gov","contributorId":4673,"corporation":false,"usgs":true,"family":"Kofoot","given":"Eric","email":"pkofoot@usgs.gov","middleInitial":"E.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499237,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sprando, Jamie M. jsprando@usgs.gov","contributorId":4005,"corporation":false,"usgs":true,"family":"Sprando","given":"Jamie","email":"jsprando@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499234,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Collin D. 0000-0003-4184-5686 cdsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-4184-5686","contributorId":3111,"corporation":false,"usgs":true,"family":"Smith","given":"Collin","email":"cdsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499232,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70103853,"text":"sir20135129 - 2014 - Analysis of water quality in the Blue River watershed, Colorado, 1984 through 2007","interactions":[],"lastModifiedDate":"2014-08-25T12:38:35","indexId":"sir20135129","displayToPublicDate":"2014-08-25T12:34:00","publicationYear":"2014","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":"2013-5129","title":"Analysis of water quality in the Blue River watershed, Colorado, 1984 through 2007","docAbstract":"

Water quality of streams, reservoirs, and groundwater in the Blue River watershed in the central Rocky Mountains of Colorado has been affected by local geologic conditions, historical hard-rock metal mining, and recent urban development. With these considerations, the U.S. Geological Survey, in cooperation with the Summit Water Quality Committee, conducted a study to compile historical water-quality data and assess water-quality conditions in the watershed. To assess water-quality conditions, stream data were primarily analyzed from October 1995 through December 2006, groundwater data from May 1996 through September 2004, and reservoir data from May 1984 through November 2007. Stream data for the Snake River, upper Blue River, and Tenmile Creek subwatersheds upstream from Dillon Reservoir and the lower Blue River watershed downstream from Dillon Reservoir were analyzed separately. (The complete abstract is provided in the report)

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135129","collaboration":"Prepared in cooperation with the Summit Water Quality Committee","usgsCitation":"Bauch, N.J., Miller, L.D., and Yacob, S., 2014, Analysis of water quality in the Blue River watershed, Colorado, 1984 through 2007: U.S. Geological Survey Scientific Investigations Report 2013-5129, vii, 90 p., https://doi.org/10.3133/sir20135129.","productDescription":"vii, 90 p.","numberOfPages":"102","onlineOnly":"Y","temporalStart":"1984-01-01","temporalEnd":"2007-12-31","ipdsId":"IP-020163","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":292981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135129.jpg"},{"id":292980,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5129/pdf/sir2013-5129.pdf"},{"id":292979,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5129/"}],"projection":"Universal Transverse Mercator projection","country":"United States","state":"Colorado","otherGeospatial":"Blue River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.5,39.25 ], [ -106.5,40.0 ], [ -105.75,40.0 ], [ -105.75,39.25 ], [ -106.5,39.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fc3fafe4b0413fd75d296f","contributors":{"authors":[{"text":"Bauch, Nancy J. 0000-0002-0302-2892 njbauch@usgs.gov","orcid":"https://orcid.org/0000-0002-0302-2892","contributorId":1297,"corporation":false,"usgs":true,"family":"Bauch","given":"Nancy","email":"njbauch@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":493500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Lisa D. 0000-0002-3523-0768 ldmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-3523-0768","contributorId":1125,"corporation":false,"usgs":true,"family":"Miller","given":"Lisa","email":"ldmiller@usgs.gov","middleInitial":"D.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yacob, Sharon","contributorId":27798,"corporation":false,"usgs":true,"family":"Yacob","given":"Sharon","email":"","affiliations":[],"preferred":false,"id":493501,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70115414,"text":"sir20145126 - 2014 - High-resolution topography and geomorphology of select archeological sites in Glen Canyon National Recreation Area, Arizona","interactions":[],"lastModifiedDate":"2023-05-24T13:16:48.547217","indexId":"sir20145126","displayToPublicDate":"2014-08-25T11:31:00","publicationYear":"2014","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":"2014-5126","title":"High-resolution topography and geomorphology of select archeological sites in Glen Canyon National Recreation Area, Arizona","docAbstract":"

Along the Colorado River corridor between Glen Canyon Dam and Lees Ferry, Arizona, located some 25 km downstream from the dam, archaeological sites dating from 8,000 years before present through the modern era are located within and on top of fluvial and alluvial terraces of the prehistorically undammed river. These terraces are known to have undergone significant erosion and retreat since emplacement of Glen Canyon Dam in 1963. Land managers and policy makers associated with managing the flow of the Colorado River are interested in understanding how the operations of Glen Canyon Dam have affected the archeological sites associated with these terraces and how dam-controlled flows currently interact with other landscape-shaping processes. In 2012, the U.S. Geological Survey initiated a research project in Glen Canyon to study the types and causes of erosion of the terraces. This report provides the first step towards this understanding by presenting comparative analyses on several types of high-resolution topographic data (airborne lidar, terrestrial lidar, and airborne photogrammetry) that can be used in the future to document and analyze changes to terrace-based archaeological sites.

\n
\n

Herein, we present topographic and geomorphologic data of four archaeological sites within a 14 km segment of Glen Canyon using each of the three data sources. In addition to comparing each method’s suitability for adequately representing the topography of the sites, we also analyze the data within each site’s context and describe the geomorphological processes responsible for erosion. Our results show that each method has its own strengths and weaknesses, and that terrestrial and airborne lidar are essentially interchangeable for many important topographic characterization and monitoring purposes. However, whereas terrestrial lidar provides enhanced capacity for feature recognition and gully morphology delineation, airborne methods (whether by way of laser or optical sensors) are better suited for reach- and regional-scale mapping. Our site-specific geomorphic analyses of the four archeological sites indicate that their current topographical conditions are a result of different and sometimes competing erosional agents, including bedrock- and terrace-based overland flow, fluvial-induced terrace bank collapse, and alluvial-fan-generated debris flows. Although the influences of anthropogenic-induced erosion from dam operations are not specifically analyzed in this report, we do identify geomorphic settings where dam operations are either more or less likely to affect archeological site stability. This information can be used to assist with future monitoring efforts of these sites and identification of similar conditions for other archeological sites along the Colorado River corridor in Glen Canyon.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145126","usgsCitation":"Collins, B., Corbett, S., Sankey, J.B., and Fairley, H., 2014, High-resolution topography and geomorphology of select archeological sites in Glen Canyon National Recreation Area, Arizona: U.S. Geological Survey Scientific Investigations Report 2014-5126, vi, 31 p., https://doi.org/10.3133/sir20145126.","productDescription":"vi, 31 p.","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-055432","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":292976,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145126.jpg"},{"id":289412,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5126/"},{"id":292975,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5126/pdf/sir2014-5126.pdf"}],"country":"United States","state":"Arizona","otherGeospatial":"Glen Canyon National Recreation Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.659217,36.816343 ], [ -111.659217,37.001017 ], [ -111.396264,37.001017 ], [ -111.396264,36.816343 ], [ -111.659217,36.816343 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fc3fb2e4b0413fd75d297e","contributors":{"authors":[{"text":"Collins, Brian D.","contributorId":71641,"corporation":false,"usgs":true,"family":"Collins","given":"Brian D.","affiliations":[],"preferred":false,"id":495627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corbett, Skye C.","contributorId":54844,"corporation":false,"usgs":true,"family":"Corbett","given":"Skye C.","affiliations":[],"preferred":false,"id":495626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":495624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fairley, Helen C.","contributorId":10506,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen C.","affiliations":[],"preferred":false,"id":495625,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70115556,"text":"ofr20141136 - 2014 - Integration of seismic-reflection and well data to assess the potential impact of stratigraphic and structural features on sustainable water supply from the Floridan aquifer system, Broward County, Florida","interactions":[],"lastModifiedDate":"2014-08-25T10:40:34","indexId":"ofr20141136","displayToPublicDate":"2014-08-25T10:37:00","publicationYear":"2014","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":"2014-1136","title":"Integration of seismic-reflection and well data to assess the potential impact of stratigraphic and structural features on sustainable water supply from the Floridan aquifer system, Broward County, Florida","docAbstract":"

The U.S. Geological Survey and Broward County water managers commenced a 3.5-year cooperative study in July 2012 to refine the geologic and hydrogeologic framework of the Floridan aquifer system (FAS) in Broward County. A lack of advanced stratigraphic knowledge of the physical system and structural geologic anomalies (faults and fractures originating from tectonics and karst-collapse structures) within the FAS pose a risk to the sustainable management of the resource.

\n
\n

The principal objective of the study is to better define the regional stratigraphic and structural setting of the FAS in Broward County. The objective will be achieved through the acquisition, processing, and interpretation of new seismic-reflection data along several canals in Broward County. The interpretation includes integration of the new seismic-reflection data with existing seismic-reflection profiles along Hillsboro Canal in Broward County and within northeast Miami-Dade County, as well as with data from nearby FAS wellbores. The scope of the study includes mapping the geologic, hydrogeologic, and seismic-reflection framework of the FAS, and identifying stratigraphic and structural characteristics that could either facilitate or preclude the sustainable use of the FAS as an alternate water supply or a treated effluent repository. In addition, the investigation offers an opportunity to: (1) improve existing groundwater flow models, (2) enhance the understanding of the sensitivity of the groundwater system to well-field development and upconing of saline fluids, and (3) support site selection for future FAS projects, such as Class I wells that would inject treated effluent into the deep Boulder Zone.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141136","collaboration":"Prepared in cooperation with Broward County Environmental Planning and Community Resilience Division","usgsCitation":"Cunningham, K.J., 2014, Integration of seismic-reflection and well data to assess the potential impact of stratigraphic and structural features on sustainable water supply from the Floridan aquifer system, Broward County, Florida: U.S. Geological Survey Open-File Report 2014-1136, 5 p., https://doi.org/10.3133/ofr20141136.","productDescription":"5 p.","numberOfPages":"5","onlineOnly":"Y","ipdsId":"IP-054938","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":292961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141136.jpg"},{"id":292959,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1136/"},{"id":292960,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1136/pdf/ofr2014-1136.pdf"}],"country":"United States","state":"Florida","county":"Broward County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.416667,25.916667 ], [ -80.416667,26.366667 ], [ -80.116667,26.366667 ], [ -80.116667,25.916667 ], [ -80.416667,25.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fc3fb3e4b0413fd75d2986","contributors":{"authors":[{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":495654,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70126420,"text":"70126420 - 2014 - Calcium oxalate contribution to calcium cycling in forests of contrasting nutrient status","interactions":[],"lastModifiedDate":"2017-11-22T11:19:56","indexId":"70126420","displayToPublicDate":"2014-08-25T10:29:59","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Calcium oxalate contribution to calcium cycling in forests of contrasting nutrient status","docAbstract":"Calcium oxalate (Ca oxalate) is an insoluble biomineral that forms in plants and fungi, and occurs in soils across many types of ecosystems. Assessing how Ca oxalate may shape ecosystem Ca cycling requires information on the distribution of Ca oxalate among plant biomass, detritus, and mineral soil, and how it varies with ecosystem Ca status. We compared two Douglas-fir forests of contrasting ecosystem Ca availability, and found that Ca oxalate was partitioned similarly among plant biomass, detritus and mineral soil major ecosystem compartments at both sites, and total pools of Ca oxalate were greater in the high-Ca forest. However, the proportional importance of Ca oxalate was greater in the low-Ca than high-Ca forest (18% versus 4% of actively cycling ecosystem Ca, respectively). And calcium oxalate in mineral soil, which is of particular interest as a potential long-term Ca reservoir, was a larger portion of total available Ca (exchangeable Ca plus Ca oxalate Ca) in the low-Ca site than the high-Ca site (9% versus 1% of available soil Ca, respectively). Calcium oxalate was the dominant form of Ca returned from plants to soil as leaf litterfall at the high-Ca site, yet calcium oxalate disappeared rapidly from decomposing litter (0.28 yr−1 or faster) at both sites. We conclude that accumulation of Ca oxalate in forest ecosystems appears most closely related to overall Ca supply for live biomass pools, and that the accumulation of Ca oxalate in forest floor and mineral soil is limited by rapid microbial degradation of putatively unavailable Ca oxalate.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier Science","publisherLocation":"Amsterdam","doi":"10.1016/j.foreco.2014.08.029","usgsCitation":"Dauer, J.M., and Perakis, S., 2014, Calcium oxalate contribution to calcium cycling in forests of contrasting nutrient status: Forest Ecology and Management, v. 334, p. 64-73, https://doi.org/10.1016/j.foreco.2014.08.029.","productDescription":"10 p.","startPage":"64","endPage":"73","numberOfPages":"10","ipdsId":"IP-053319","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":294301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294271,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2014.08.029"},{"id":294272,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0378112714005180#"}],"volume":"334","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422bb1ce4b08312ac7cef8c","contributors":{"authors":[{"text":"Dauer, Jenny M.","contributorId":50443,"corporation":false,"usgs":true,"family":"Dauer","given":"Jenny","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":502037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perakis, Steven S. 0000-0003-0703-9314","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":16797,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven S.","affiliations":[],"preferred":false,"id":502036,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70104175,"text":"70104175 - 2014 - Aragonite saturation states and nutrient fluxes in coral reef sediments in Biscayne National Park, FL, USA","interactions":[],"lastModifiedDate":"2014-09-23T15:21:41","indexId":"70104175","displayToPublicDate":"2014-08-23T15:13:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Aragonite saturation states and nutrient fluxes in coral reef sediments in Biscayne National Park, FL, USA","docAbstract":"Some coral reefs, such as patch reefs along the Florida Keys reef tract, are not showing significant reductions in calcification rates in response to ocean acidification. It has been hypothesized that this recalcitrance is due to local buffering effects from biogeochemical processes driven by seagrasses. We investigated the influence that pore water nutrients, dissolved inorganic carbon (DIC) and total alkalinity (TA) have on aragonite saturation states (Ωaragonite) in the sediments and waters overlying the sediment surfaces of sand halos and seagrass beds that encircle Alinas and Anniversary reefs in Biscayne National Park. Throughout the sampling period, sediment pore waters from both bottom types had lower oxidation/reduction potentials (ORP), with lower pH relative to the sediment surface waters. The majority (86.5%) of flux rates (n = 96) for ΣNOx–, PO43–, NH4+, SiO2, DIC and TA were positive, sometimes contributing significant concentrations of the respective constituents to the sediment surface waters. The Ωaragonite values in the pore waters (range: 0.18 to 4.78) were always lower than those in the overlying waters (2.40 to 4.46), and 52% (n = 48) of the values were <2.0. The DIC and TA fluxes at the sediment–water interface reduced Ωaragonite in 75% (n = 16) of the samples, but increased it in the remainder. The elevated fluxes of nutrients, DIC and TA into the sediment–water interface layer negatively alters the suitability of this zone for the settlement and development of calcifying larvae, while enhancing the establishment of algal communities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ecology Progress Series","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research","doi":"10.3354/meps10844","usgsCitation":"Lisle, J.T., Reich, C.D., and Halley, R., 2014, Aragonite saturation states and nutrient fluxes in coral reef sediments in Biscayne National Park, FL, USA: Marine Ecology Progress Series, v. 509, p. 71-85, https://doi.org/10.3354/meps10844.","productDescription":"15 p.","startPage":"71","endPage":"85","ipdsId":"IP-042543","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472814,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10844","text":"Publisher Index Page"},{"id":294381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294380,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps10844"}],"country":"United States","state":"Florida","otherGeospatial":"Biscayne National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.347196,25.291431 ], [ -80.347196,25.671111 ], [ -80.089407,25.671111 ], [ -80.089407,25.291431 ], [ -80.347196,25.291431 ] ] ] } } ] }","volume":"509","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422bb17e4b08312ac7cef2b","contributors":{"authors":[{"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":493586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reich, Christopher D. 0000-0002-2534-1456 creich@usgs.gov","orcid":"https://orcid.org/0000-0002-2534-1456","contributorId":900,"corporation":false,"usgs":true,"family":"Reich","given":"Christopher","email":"creich@usgs.gov","middleInitial":"D.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Halley, Robert B.","contributorId":45692,"corporation":false,"usgs":true,"family":"Halley","given":"Robert B.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":493587,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70138607,"text":"70138607 - 2014 - Uranium series, volcanic rocks","interactions":[],"lastModifiedDate":"2015-03-06T11:09:48","indexId":"70138607","displayToPublicDate":"2014-08-23T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Uranium series, volcanic rocks","docAbstract":"

Application of U-series dating to volcanic rocks provides unique and valuable information about the absolute timing of crystallization and differentiation of magmas prior to eruption. The 238U–230Th and 230Th-226Ra methods are the most commonly employed for dating the crystallization of mafic to silicic magmas that erupt at volcanoes. Dates derived from the U–Th and Ra–Th methods reflect crystallization because diffusion of these elements at magmatic temperatures is sluggish (Cherniak 2010) and diffusive re-equilibration is insignificant over the timescales (less than or equal to 10^5 years) typically associated with pre-eruptive storage of nearly all magma compositions (Cooper and Reid 2008). Other dating methods based on elements that diffuse rapidly at magmatic temperatures, such as the 40Ar/39Ar and (U–Th)/He methods, yield dates for the cooling of magma at the time of eruption. Disequilibrium of some short-lived daughters of the uranium series such as 210Po may be fractionated by saturation of a volatile phase and can be employed to date magmatic gas loss that is synchronous with volcanic eruption (e.g., Rubin et al. 1994).

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Scientific Dating Methods","language":"English","publisher":"Springer Netherlands","doi":"10.1007/978-94-007-6326-5_233-1","usgsCitation":"Vazquez, J.A., 2014, Uranium series, volcanic rocks, chap. of Encyclopedia of Scientific Dating Methods, 6 p., https://doi.org/10.1007/978-94-007-6326-5_233-1.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057911","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":298326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-23","publicationStatus":"PW","scienceBaseUri":"54faddbce4b02419550db6e6","contributors":{"authors":[{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":538871,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048966,"text":"ds788 - 2014 - Construction, water-level, and water-quality data for multiple-well monitoring sites and test wells, Fort Irwin National Training Center, San Bernardino County, California, 2009-12","interactions":[],"lastModifiedDate":"2021-06-21T18:15:29.540324","indexId":"ds788","displayToPublicDate":"2014-08-22T14:04:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"788","title":"Construction, water-level, and water-quality data for multiple-well monitoring sites and test wells, Fort Irwin National Training Center, San Bernardino County, California, 2009-12","docAbstract":"

Because of increasing water demands at the U.S. Army Fort Irwin National Training Center, the U.S. Geological Survey in cooperation with the U.S. Army carried out a study to evaluate the water quality and potential groundwater supply of undeveloped basins within the U.S. Army Fort Irwin National Training Center. In addition, work was performed in the three developed basins—Langford, Bicycle, and Irwin—proximal to or underlying cantonment to provide information in support of water-resources management and to supplement monitoring in these basins. Between 2009 and 2012, the U.S. Geological Survey installed 41 wells to expand collection of water-resource data within the U.S. Army Fort Irwin National Training Center. Thirty-four monitoring wells (2-inch diameter) were constructed at 14 single- or multiple-well monitoring sites and 7 test wells (8-inch diameter) were installed. The majority of the wells were installed in previously undeveloped or minimally developed basins (Cronise, Red Pass, the Central Corridor area, Superior, Goldstone, and Nelson Basins) proximal to cantonment (primary base housing and infrastructure). Data associated with well construction, water-level monitoring, and water-quality sampling are presented in this report.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds788","collaboration":"Prepared in cooperation with the Fort Irwin National Training Center","usgsCitation":"Kjos, A., Densmore, J., Nawikas, J., and Brown, A.A., 2014, Construction, water-level, and water-quality data for multiple-well monitoring sites and test wells, Fort Irwin National Training Center, San Bernardino County, California, 2009-12: U.S. Geological Survey Data Series 788, x, 140 p., https://doi.org/10.3133/ds788.","productDescription":"x, 140 p.","numberOfPages":"154","onlineOnly":"Y","temporalStart":"2009-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-040406","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":386621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/788/images/coverthb.jpg"},{"id":292894,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/788/pdf/ds788.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":292893,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/788/","linkFileType":{"id":5,"text":"html"}}],"scale":"250000","datum":"Universal Transverse Mercator Projection","country":"United States","state":"California","county":"San Bernardino County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.166667,35.0 ], [ -117.166667,35.666667 ], [ -116.166667,35.666667 ], [ -116.166667,35.0 ], [ -117.166667,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f84b2de4b03f038c5bd439","contributors":{"authors":[{"text":"Kjos, Adam R. 0000-0002-2722-3306","orcid":"https://orcid.org/0000-0002-2722-3306","contributorId":65772,"corporation":false,"usgs":true,"family":"Kjos","given":"Adam R.","affiliations":[],"preferred":false,"id":485892,"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":485893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nawikas, Joseph M. 0000-0001-9061-6674","orcid":"https://orcid.org/0000-0001-9061-6674","contributorId":96528,"corporation":false,"usgs":true,"family":"Nawikas","given":"Joseph M.","affiliations":[],"preferred":false,"id":485894,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Anthony A. 0000-0001-9925-0197 anbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-9925-0197","contributorId":5125,"corporation":false,"usgs":true,"family":"Brown","given":"Anthony","email":"anbrown@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485891,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70104312,"text":"ofr20141096 - 2014 - Sediment and water chemistry of the San Juan River and Escalante River deltas of Lake Powell, Utah, 2010-2011","interactions":[],"lastModifiedDate":"2014-08-22T14:06:50","indexId":"ofr20141096","displayToPublicDate":"2014-08-22T13:50:00","publicationYear":"2014","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":"2014-1096","title":"Sediment and water chemistry of the San Juan River and Escalante River deltas of Lake Powell, Utah, 2010-2011","docAbstract":"

Recent studies have documented the presence of trace elements, organic compounds including polycyclic aromatic hydrocarbons, and radionuclides in sediment from the Colorado River delta and from sediment in some side canyons in Lake Powell, Utah and Arizona. The fate of many of these contaminants is of significant concern to the resource managers of the National Park Service Glen Canyon National Recreation Area because of potential health impacts to humans and aquatic and terrestrial species. In 2010, the U.S. Geological Survey began a sediment-core sampling and analysis program in the San Juan River and Escalante River deltas in Lake Powell, Utah, to help the National Park Service further document the presence or absence of contaminants in deltaic sediment.

\n
\n

Three sediment cores were collected from the San Juan River delta in August 2010 and three sediment cores and an additional replicate core were collected from the Escalante River delta in September 2011. Sediment from the cores was subsampled and composited for analysis of major and trace elements. Fifty-five major and trace elements were analyzed in 116 subsamples and 7 composited samples for the San Juan River delta cores, and in 75 subsamples and 9 composited samples for the Escalante River delta cores. Six composited sediment samples from the San Juan River delta cores and eight from the Escalante River delta cores also were analyzed for 55 low-level organochlorine pesticides and polychlorinated biphenyls, 61 polycyclic aromatic hydrocarbon compounds, gross alpha and gross beta radionuclides, and sediment-particle size.

\n
\n

Additionally, water samples were collected from the sediment-water interface overlying each of the three cores collected from the San Juan River and Escalante River deltas. Each water sample was analyzed for 57 major and trace elements.

\n
\n

Most of the major and trace elements analyzed were detected at concentrations greater than reporting levels for the sediment-core subsamples and composited samples. Low-level organochlorine pesticides and polychlorinated biphenyls were not detected in any of the samples. Only one polycyclic aromatic hydrocarbon compound was detected at a concentration greater than the reporting level for one San Juan composited sample. Gross alpha and gross beta radionuclides were detected at concentrations greater than reporting levels for all samples. Most of the major and trace elements analyzed were detected at concentrations greater than reporting levels for water samples.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141096","usgsCitation":"Hornewer, N.J., 2014, Sediment and water chemistry of the San Juan River and Escalante River deltas of Lake Powell, Utah, 2010-2011: U.S. Geological Survey Open-File Report 2014-1096, v, 7 p.; 2 Appendices, https://doi.org/10.3133/ofr20141096.","productDescription":"v, 7 p.; 2 Appendices","numberOfPages":"18","onlineOnly":"Y","temporalStart":"2010-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-056033","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":292891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141096.jpg"},{"id":292888,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1096/downloads/ofr2014-1096_appendixb.xlsx"},{"id":292886,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1096/"},{"id":292887,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1096/downloads/ofr2014-1096_appendixa.xlsx"},{"id":292889,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1096/pdf/ofr2014-1096.pdf"}],"country":"United States","state":"Utah","otherGeospatial":"Lake Powell","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.61,37.09 ], [ -111.61,38.06 ], [ -110.04,38.06 ], [ -110.04,37.09 ], [ -111.61,37.09 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f84b30e4b03f038c5bd445","contributors":{"authors":[{"text":"Hornewer, Nancy J. njhornew@usgs.gov","contributorId":910,"corporation":false,"usgs":true,"family":"Hornewer","given":"Nancy","email":"njhornew@usgs.gov","middleInitial":"J.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493718,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70115110,"text":"fs20143007 - 2014 - SAHM:VisTrails (Software for Assisted Habitat Modeling for VisTrails): training course","interactions":[],"lastModifiedDate":"2018-09-21T11:23:25","indexId":"fs20143007","displayToPublicDate":"2014-08-22T12:59:00","publicationYear":"2014","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":"2014-3007","title":"SAHM:VisTrails (Software for Assisted Habitat Modeling for VisTrails): training course","docAbstract":"

VisTrails is an open-source management and scientific workflow system designed to integrate the best of both scientific workflow and scientific visualization systems. Developers can extend the functionality of the VisTrails system by creating custom modules for bundled VisTrails packages. The Invasive Species Science Branch of the U.S. Geological Survey (USGS) Fort Collins Science Center (FORT) and the U.S. Department of the Interior’s North Central Climate Science Center have teamed up to develop and implement such a module—the Software for Assisted Habitat Modeling (SAHM). SAHM expedites habitat modeling and helps maintain a record of the various input data, the steps before and after processing, and the modeling options incorporated in the construction of an ecological response model. There are four main advantages to using the SAHM:VisTrails combined package for species distribution modeling: (1) formalization and tractable recording of the entire modeling process; (2) easier collaboration through a common modeling framework; (3) a user-friendly graphical interface to manage file input, model runs, and output; and (4) extensibility to incorporate future and additional modeling routines and tools.

\n
\n

In order to meet increased interest in the SAHM:VisTrails package, the FORT offers a training course twice a year. The course includes a combination of lecture, hands-on work, and discussion. Please join us and other ecological modelers to learn the capabilities of the SAHM:VisTrails package.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143007","usgsCitation":"Holcombe, T., 2014, SAHM:VisTrails (Software for Assisted Habitat Modeling for VisTrails): training course: U.S. Geological Survey Fact Sheet 2014-3007, 2 p., https://doi.org/10.3133/fs20143007.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-045542","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":292878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143007.jpg"},{"id":292876,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3007/"},{"id":292877,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3007/pdf/fs2014-3007.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f84b2fe4b03f038c5bd43f","contributors":{"authors":[{"text":"Holcombe, Tracy","contributorId":93817,"corporation":false,"usgs":true,"family":"Holcombe","given":"Tracy","affiliations":[],"preferred":false,"id":495547,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70121391,"text":"70121391 - 2014 - Simulating water-quality trends in public-supply wells in transient flow systems","interactions":[],"lastModifiedDate":"2014-10-01T11:46:51","indexId":"70121391","displayToPublicDate":"2014-08-21T13:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Simulating water-quality trends in public-supply wells in transient flow systems","docAbstract":"Models need not be complex to be useful. An existing groundwater-flow model of Salt Lake Valley, Utah, was adapted for use with convolution-based advective particle tracking to explain broad spatial trends in dissolved solids. This model supports the hypothesis that water produced from wells is increasingly younger with higher proportions of surface sources as pumping changes in the basin over time. At individual wells, however, predicting specific water-quality changes remains challenging. The influence of pumping-induced transient groundwater flow on changes in mean age and source areas is significant. Mean age and source areas were mapped across the model domain to extend the results from observation wells to the entire aquifer to see where changes in concentrations of dissolved solids are expected to occur. The timing of these changes depends on accurate estimates of groundwater velocity. Calibration to tritium concentrations was used to estimate effective porosity and improve correlation between source area changes, age changes, and measured dissolved solids trends. Uncertainty in the model is due in part to spatial and temporal variations in tracer inputs, estimated tracer transport parameters, and in pumping stresses at sampling points. For tracers such as tritium, the presence of two-limbed input curves can be problematic because a single concentration can be associated with multiple disparate travel times. These shortcomings can be ameliorated by adding hydrologic and geologic detail to the model and by adding additional calibration data. However, the Salt Lake Valley model is useful even without such small-scale detail.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gwat.12230","usgsCitation":"Starn, J.J., Green, C.T., Hinkle, S.R., Bagtzoglou, A., and Stolp, B.J., 2014, Simulating water-quality trends in public-supply wells in transient flow systems: Ground Water, v. 52, no. S1, p. 53-62, https://doi.org/10.1111/gwat.12230.","productDescription":"10 p.","startPage":"53","endPage":"62","ipdsId":"IP-037946","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":472815,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.12230","text":"Publisher Index Page"},{"id":292789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292780,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12230"}],"country":"United States","state":"Utah","otherGeospatial":"Salt Lake Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.25,40.25 ], [ -112.25,40.916667 ], [ -111.75,40.916667 ], [ -111.75,40.25 ], [ -112.25,40.25 ] ] ] } } ] }","volume":"52","issue":"S1","noUsgsAuthors":false,"publicationDate":"2014-07-12","publicationStatus":"PW","scienceBaseUri":"53f6f9b7e4b05ec1f24290e0","chorus":{"doi":"10.1111/gwat.12230","url":"http://dx.doi.org/10.1111/gwat.12230","publisher":"Wiley-Blackwell","authors":"Jeffrey Starn J., Green Christopher T., Hinkle Stephen R., Bagtzoglou Amvrossios C., Stolp Bernard J.","journalName":"Groundwater","publicationDate":"7/12/2014","auditedOn":"3/17/2016"},"contributors":{"authors":[{"text":"Starn, J. Jeffrey","contributorId":101617,"corporation":false,"usgs":true,"family":"Starn","given":"J.","email":"","middleInitial":"Jeffrey","affiliations":[],"preferred":false,"id":499021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, Christopher T. 0000-0002-6480-8194 ctgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":1343,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"ctgreen@usgs.gov","middleInitial":"T.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":499019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinkle, Stephen R. srhinkle@usgs.gov","contributorId":1171,"corporation":false,"usgs":true,"family":"Hinkle","given":"Stephen","email":"srhinkle@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":499018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bagtzoglou, Amvrossios C.","contributorId":30146,"corporation":false,"usgs":true,"family":"Bagtzoglou","given":"Amvrossios C.","affiliations":[],"preferred":false,"id":499020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stolp, Bernard J. 0000-0003-3803-1497 bjstolp@usgs.gov","orcid":"https://orcid.org/0000-0003-3803-1497","contributorId":963,"corporation":false,"usgs":true,"family":"Stolp","given":"Bernard","email":"bjstolp@usgs.gov","middleInitial":"J.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":499017,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70121240,"text":"70121240 - 2014 - Generating nested wetland catchments with readily-available digital elevation data may improve evaluations of land-use change on wetlands","interactions":[],"lastModifiedDate":"2018-01-04T10:53:20","indexId":"70121240","displayToPublicDate":"2014-08-21T11:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Generating nested wetland catchments with readily-available digital elevation data may improve evaluations of land-use change on wetlands","docAbstract":"

The important ecosystem functions wetlands perform are influenced by land-use changes in their surrounding uplands and thus, identifying the upland area that flows into a wetland is important. We provide a method to define wetland catchments as the portion of the landscape that flows into a wetland; we allowed catchments to be nested and include other wetlands and their catchments, forming a hydrologic wetland complex. We generated catchments using multiple sources and resolutions of digital elevation data to evaluate whether catchment sizes generated from those data were similar. While non-contributing areas, or sinks, differed between elevation data sets, catchment areas were similar among high-resolution LiDAR- and IfSAR-derived data and readily available lower resolution data from the National Elevation Dataset. Accordingly, the higher-resolution DEM data, which may be expensive or not available, will not likely yield more accurate wetland catchment boundaries in flat or glaciated landscapes. We contend that this method to generate wetland catchments can be used to improve wetland studies where the location of a wetland within a catchment is important. Furthermore, the size of the catchment is important for understanding how wetlands respond to climate, land-use practices, and contamination.

","language":"English","publisher":"Springer","doi":"10.1007/s13157-014-0571-9","usgsCitation":"McCauley, L.A., and Anteau, M.J., 2014, Generating nested wetland catchments with readily-available digital elevation data may improve evaluations of land-use change on wetlands: Wetlands, v. 34, no. 6, p. 1123-1132, https://doi.org/10.1007/s13157-014-0571-9.","productDescription":"10 p.","startPage":"1123","endPage":"1132","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052286","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":292764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292634,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-014-0571-9"}],"country":"United States","state":"North Dakota","county":"Barnes County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.468,46.6299 ], [ -98.468,47.2413 ], [ -97.6815,47.2413 ], [ -97.6815,46.6299 ], [ -98.468,46.6299 ] ] ] } } ] }","volume":"34","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-08-16","publicationStatus":"PW","scienceBaseUri":"53f6f9b3e4b05ec1f24290ca","contributors":{"authors":[{"text":"McCauley, Lisa A. lmccauley@usgs.gov","contributorId":5048,"corporation":false,"usgs":true,"family":"McCauley","given":"Lisa","email":"lmccauley@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":498847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":498846,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70121285,"text":"70121285 - 2014 - How hot is too hot? Live-trapped gray wolf rectal temperatures and 1-year survival","interactions":[],"lastModifiedDate":"2018-09-21T09:21:48","indexId":"70121285","displayToPublicDate":"2014-08-21T09:50:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"How hot is too hot? Live-trapped gray wolf rectal temperatures and 1-year survival","docAbstract":"

The ability of physically restrained and anesthetized wolves to thermoregulate is lessened and could lead to reduced survival, yet no information is available about this subject. Therefore, we analyzed rectal temperatures related to survival 1 year post-capture from 173 adult (non-pup) gray wolves (Canis lupus) captured in modified foot-hold traps for radiocollaring during June–August, 1988–2011, in the Superior National Forest of northeastern Minnesota, USA. The maximum observed rectal temperature (“maxtemp,” ° F, ° C) in each wolf during capture (x = 104.0, 40.0; SD = 2.0, 1.1; min. = 95.9, 35.5; max. = 108, 42.2) was not a significant predictor of survival to 1 year post-capture. Although no weather or morphometric variable was a significant predictor of maxtemps, wolves initially anesthetized with ketamine–xylazine rather than telazol®–xylazine averaged higher maxtemps. This information does not fully address possible effects of high body temperatures related to live-capture and handling of wolves, but it does provide a useful waypoint for future assessments of this relationship and a reassurance to wildlife practitioners that the maxtemps observed in our study did not appear to affect 1-year survival.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Society Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wildlife Society","publisherLocation":"Bethesda, MD","doi":"10.1002/wsb.470","usgsCitation":"Barber-Meyer, S., and Mech, L.D., 2014, How hot is too hot? Live-trapped gray wolf rectal temperatures and 1-year survival: Wildlife Society Bulletin, v. 38, no. 4, p. 767-772, https://doi.org/10.1002/wsb.470.","productDescription":"6 p.","startPage":"767","endPage":"772","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045702","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":499907,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/745f905f4f1840449d927eeb7c2d53ab","text":"External Repository"},{"id":292693,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wsb.470"},{"id":292743,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Superior National Forest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.0917,47.2848 ], [ -93.0917,48.4396 ], [ -89.855,48.4396 ], [ -89.855,47.2848 ], [ -93.0917,47.2848 ] ] ] } } ] }","volume":"38","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-08-13","publicationStatus":"PW","scienceBaseUri":"53f6f9b4e4b05ec1f24290d3","chorus":{"doi":"10.1002/wsb.470","url":"http://dx.doi.org/10.1002/wsb.470","publisher":"Wiley-Blackwell","authors":"Barber-Meyer Shannon M., Mech L. David","journalName":"Wildlife Society Bulletin","publicationDate":"8/13/2014"},"contributors":{"authors":[{"text":"Barber-Meyer, Shannon M. 0000-0002-3048-2616","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":79810,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":498918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":498917,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70116612,"text":"sir20145134 - 2014 - Description of landscape features, summary of existing hydrologic data, and identification of data gaps for the Osage Nation, northeastern Oklahoma, 1890-2012","interactions":[],"lastModifiedDate":"2020-02-26T17:48:07","indexId":"sir20145134","displayToPublicDate":"2014-08-21T08:49:00","publicationYear":"2014","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":"2014-5134","title":"Description of landscape features, summary of existing hydrologic data, and identification of data gaps for the Osage Nation, northeastern Oklahoma, 1890-2012","docAbstract":"

The Osage Nation of northeastern Oklahoma, conterminous with Osage County, is characterized by gently rolling uplands and incised stream valleys that have downcut into underlying sedimentary rock units of Pennsylvanian through Permian age. Cattle ranching and petroleum and natural-gas extraction are the principal land uses in this rural area. Freshwater resources in the Osage Nation include water flowing in the Arkansas River and several smaller streams, water stored in several lakes, and groundwater contained in unconsolidated alluvial aquifers and bedrock aquifers. The Vamoosa-Ada aquifer is the primary source of fresh groundwater in this area. Fresh groundwater is underlain by saline groundwater in aquifers underlying the Osage Nation. Because of the potential for future population increases, demands for water from neighboring areas such as the Tulsa metropolitan area, and expansion of petroleum and natural-gas extraction on water resources of this area, the U.S. Geological Survey, in cooperation with the Osage Nation, summarized existing hydrologic data and identified data gaps to provide information for planning of future development of water resources in the Osage Nation.

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Streamflows in the Osage Nation are substantially affected by precipitation. During the relatively wet periods from the 1970s to 2000, the annual streamflows in the Osage Nation increased by as much as a factor of 2 relative to preceding decades, with subsequent decreases in streamflow of as much as 50 percent being recorded during intermittent drier years of the early 2000s. This report summarizes hydrologic data from 3 surface-water sites and 91 wells distributed across the Osage Nation. Data collected at those sites indicate that surface water in the Osage Nation generally has sufficient dissolved oxygen for survival of both coldwater and warmwater aquatic biota. Total dissolved solids concentration exceeded the secondary drinking-water standard of 500 milligrams per liter (mg/L) in up to 75 percent of the surface-water samples, indicating limited availability of potable water at some sites. Some surface-water samples collected in the Osage Nation contained dissolved chloride concentrations exceeding the secondary drinking-water standard of 250 mg/L, with greater chloride concentrations in selected basins appearing to be associated with greater densities of petroleum well locations. Several lakes sampled in the Osage Nation from 2011–12 contained sufficient chlorophyll-a concentrations to be ranked as mesotrophic to eutrophic, indicating impairment by nutrients. Relatively large dissolved phosphorus concentrations in many surface-water samples, compared to water-quality standards, indicate that eutrophication can occur in local streams and lakes.

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The amount of fresh groundwater stored in alluvial aquifers and the Vamoosa-Ada bedrock aquifer is adequate for domestic and other purposes in the Osage Nation at the current rate of usage. In areas where these aquifers are absent, groundwater must be pumped from minor bedrock aquifers that produce smaller volumes of water. About 30 and 60 percent of 32 and 54 water samples collected from the alluvial and Vamoosa-Ada aquifers, respectively, contained total dissolved solids concentrations larger than the secondary drinking-water standard of 500 mg/L. Local factors, such as natural seepage of brines or leakage from petroleum and natural-gas extraction activities, may cause substantial variations in dissolved chloride concentration in groundwater in the Osage Nation. Total phosphorus concentrations measured in groundwater samples were similar to dissolved phosphorus concentrations measured in the base flow of several streams.

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Total fresh surface-water withdrawals (use) and fresh groundwater withdrawals in the Osage Nation were estimated to have increased from 0.75 to 16.19 million gallons per day and from 0.13 to 2.39 million gallons per day, respectively, over the period from 1890 through 2010. Estimated saline-groundwater reinjection volumes at the heavily developed Burbank Oil Field in the Osage Nation from 1950 through 2012 were many times larger than the total amounts of freshwater withdrawn in this area, with estimated increases in saline-groundwater reinjection in the 2000s probably being related to increased petroleum extraction.

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Estimates of freshwater resources in local streams, lakes, and freshwater aquifers and of net annual precipitation indicate that less than 1 percent of freshwater resources and net annual precipitation currently is being withdrawn annually in the Osage Nation. In addition to freshwater resources, the Osage Nation may be underlain by 45,000,000 million gallons of brines, a small portion of which are withdrawn and reinjected during petroleum and natural-gas extraction. Ongoing development of desalinization technology may lead to the ability to expand use of these saline waters in the future.

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Several additional studies could improve understanding of the hydrologic resources of the Osage Nation. Development of computer models (simulations) of groundwater and surface-water flow for this area could enable testing of scenarios of localized and widespread effects of future climate variations and water-use changes on streamflows, lake-water levels, and groundwater levels in the Osage Nation. Installation of additional long-term streamflow and water-quality sampling stations, some with continuous water-quality monitors, could expand and improve understanding of surface-water quality. Periodic measurement of groundwater levels and sampling of water from a network of wells could provide better information about trends of groundwater quantity and quality with time. Measurement of water withdrawals at selected sites could enable more accurate estimates of water use. Lastly, better understanding of aquifer properties and spatial distribution of saline groundwater provided by geophysical surveys could improve understanding of fresh and saline groundwater resources underlying the Osage Nation.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145134","collaboration":"Prepared in cooperation with the Osage Nation","usgsCitation":"Andrews, W.J., and Smith, S.J., 2014, Description of landscape features, summary of existing hydrologic data, and identification of data gaps for the Osage Nation, northeastern Oklahoma, 1890-2012: U.S. Geological Survey Scientific Investigations Report 2014-5134, x, 53 p., https://doi.org/10.3133/sir20145134.","productDescription":"x, 53 p.","numberOfPages":"67","onlineOnly":"N","temporalStart":"1890-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-053211","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":292732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145134.jpg"},{"id":292731,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5134/pdf/sir2014-5134.pdf"},{"id":292723,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5134/"}],"projection":"Albers Equal-Area Conic projection","country":"United States","state":"Oklahoma","county":"Osage County","otherGeospatial":"Osage Nation","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.0647,36.1609 ], [ -97.0647,36.9994 ], [ -96.0003,36.9994 ], [ -96.0003,36.1609 ], [ -97.0647,36.1609 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f6f9b2e4b05ec1f24290c2","contributors":{"authors":[{"text":"Andrews, William J. 0000-0003-4780-8835 wandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4780-8835","contributorId":328,"corporation":false,"usgs":true,"family":"Andrews","given":"William","email":"wandrews@usgs.gov","middleInitial":"J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, S. Jerrod 0000-0002-9379-8167 sjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9379-8167","contributorId":981,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"sjsmith@usgs.gov","middleInitial":"Jerrod","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495816,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70107995,"text":"fs20143039 - 2014 - Water resources of West Feliciana Parish, Louisiana","interactions":[],"lastModifiedDate":"2014-08-21T08:50:02","indexId":"fs20143039","displayToPublicDate":"2014-08-21T08:43:00","publicationYear":"2014","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":"2014-3039","title":"Water resources of West Feliciana Parish, Louisiana","docAbstract":"Information concerning the availability, use, and quality of water in West Feliciana Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is discussed. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143039","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Prakken, L., Lovelace, J.K., Tomaszewski, D.J., and Griffith, J.M., 2014, Water resources of West Feliciana Parish, Louisiana: U.S. Geological Survey Fact Sheet 2014-3039, 6 p., https://doi.org/10.3133/fs20143039.","productDescription":"6 p.","numberOfPages":"6","ipdsId":"IP-054725","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":292730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143039.jpg"},{"id":292728,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3039/"},{"id":292729,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3039/pdf/fs2014-3039.pdf"}],"country":"United States","state":"Louisiana","county":"West Feliciana Parish","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.666667,30.583333 ], [ -91.666667,31.00 ], [ -91.166667,31.00 ], [ -91.166667,30.583333 ], [ -91.666667,30.583333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f6f9b8e4b05ec1f24290e9","contributors":{"authors":[{"text":"Prakken, Lawrence B.","contributorId":73978,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","affiliations":[],"preferred":false,"id":493946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovelace, John K. 0000-0002-8532-2599 jlovelac@usgs.gov","orcid":"https://orcid.org/0000-0002-8532-2599","contributorId":999,"corporation":false,"usgs":true,"family":"Lovelace","given":"John","email":"jlovelac@usgs.gov","middleInitial":"K.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tomaszewski, Dan J.","contributorId":95544,"corporation":false,"usgs":true,"family":"Tomaszewski","given":"Dan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":493947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffith, Jason M. 0000-0002-8942-0380 jmgriff@usgs.gov","orcid":"https://orcid.org/0000-0002-8942-0380","contributorId":2923,"corporation":false,"usgs":true,"family":"Griffith","given":"Jason","email":"jmgriff@usgs.gov","middleInitial":"M.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493945,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70107026,"text":"sir20145093 - 2014 - Hydrosalinity studies of the Virgin River, Dixie Hot Springs, and Littlefield Springs, Utah, Arizona, and Nevada","interactions":[],"lastModifiedDate":"2017-01-03T17:18:04","indexId":"sir20145093","displayToPublicDate":"2014-08-21T08:34:00","publicationYear":"2014","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":"2014-5093","title":"Hydrosalinity studies of the Virgin River, Dixie Hot Springs, and Littlefield Springs, Utah, Arizona, and Nevada","docAbstract":"

The Virgin River contributes a substantial amount of dissolved solids (salt) to the Colorado River at Lake Mead in the lower Colorado River Basin. Degradation of Colorado River water by the addition of dissolved solids from the Virgin River affects the suitability of the water for municipal, industrial, and agricultural use within the basin. Dixie Hot Springs in Utah are a major localized source of dissolved solids discharging to the Virgin River. The average measured discharge from Dixie Hot Springs during 2009–10 was 11.0 cubic feet per second (ft3/s), and the average dissolved-solids concentration was 9,220 milligrams per liter (mg/L). The average dissolved-solids load—a measurement that describes the mass of salt that is transported per unit of time—from Dixie Hot Springs during this period was 96,200 tons per year (ton/yr).

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Annual dissolved-solids loads were estimated at 13 monitoring sites in the Virgin River Basin from streamflow data and discrete measurements of dissolved-solids concentrations and (or) specific conductance. Eight of the sites had the data needed to estimate annual dissolved-solids loads for water years (WYs) 1999 through 2010. During 1999–2010, the smallest dissolved-solids loads in the Virgin River were upstream of Dixie Hot Springs (59,900 ton/yr, on average) and the largest loads were downstream of Littlefield Springs (298,200 ton/yr, on average). Annual dissolved-solids loads were smallest during 2002–03, which was a period of below normal precipitation. Annual dissolved-solids loads were largest during 2005—a year that included a winter rain storm that resulted in flooding throughout much of the Virgin River Basin.

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An average seepage loss of 26.7 ft3/s was calculated from analysis of monthly average streamflow from July 1998 to September 2010 in the Virgin River for the reach that extends from just upstream of the Utah/Arizona State line to just above the Virgin River Gorge Narrows. Seepage losses from three river reaches in the Virgin River Gorge containing known fault zones accounted for about 48 percent of this total seepage loss. An additional seepage loss of 6.7 ft3/s was calculated for the reach of the Virgin River between Bloomington, Utah, and the Utah/Arizona State line. This loss in flow is small compared to total flow in the river and is comparable to the rated error in streamflow measurements in this reach; consequently, it should be used with caution.

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Littlefield Springs were studied to determine the fraction of its discharge that originates as upstream seepage from the Virgin River and residence time of this water in the subsurface. Geochemical and environmental tracer data from groundwater and surface-water sites in the Virgin River Gorge area suggest that discharge from Littlefield Springs is a mixture of modern (post-1950s) seepage from the Virgin River upstream of the springs and older groundwater from a regional carbonate aquifer. Concentrations of the chlorofluorocarbons (CFCs) CFC-12 and CFC-113, chloride/fluoride and chloride/bromide ratios, and the stable isotope deuterium indicate that water discharging from Littlefield Springs is about 60 percent seepage from the Virgin River and about 40 percent discharge from the regional carbonate aquifer. The river seepage component was determined to have an average subsurface traveltime of about 26 ±1.6 years before discharging at Littlefield Springs. Radiocarbon data for Littlefield Springs suggest groundwater ages from 1,000 to 9,000 years. Because these are mixed waters, the component of discharge from the carbonate aquifer is likely much older than the groundwater ages suggested by the Littlefield Springs samples.

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If the dissolved-solids load from Dixie Hot Springs to the Virgin River were reduced, the irrigation water subsequently applied to agricultural fields in the St. George and Washington areas, which originates as water from the Virgin River downstream of Dixie Hot Springs, would have a lower dissolved-solids concentration. Dissolved-solids concentrations in excess irrigation water draining from the agricultural fields are about 1,700 mg/L higher than the concentrations in the Virgin River water that is currently (2014) used for irrigation that contains inflow from Dixie Hot Springs; this increase results from evaporative concentration and dissolution of mineral salts in the irrigated agricultural fields. The water samples collected from drains downgradient from the irrigated areas are assumed to include the dissolution of all available minerals precipitated in the soil during the previous irrigation season. Based on this assumption, a change to more dilute irrigation water will not dissolve additional minerals and increase the dissolved-solids load in the drain discharge. Following the hypothetical reduction of salts from Dixie Hot Springs, which would result in more dilute Virgin River irrigation water than is currently used, the dissolution of minerals left in the soil from the previous irrigation season would result in a net increase in dissolved-solids concentrations in the drain discharge, but this increase should only last one irrigation season. After one (or several) seasons of irrigating with more dilute irrigation water, mineral precipitation and subsequent re-dissolution beneath the agricultural fields should be greatly reduced, leading to a reduction in dissolved-solids load to the Virgin River below the agricultural drains.

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A mass-balance model was used to predict changes in the dissolved-solids load in the Virgin River if the salt discharging from Dixie Hot Springs were reduced or removed. Assuming that 33.4 or 26.7 ft3/s of water seeps from the Virgin River to the groundwater system upstream of the Virgin River Gorge Narrows, the immediate hypothetical reduction in dissolved-solids load in the Virgin River at Littlefield, Arizona is estimated to be 67,700 or 71,500 ton/yr, respectively. The decrease in dissolved-solids load in seepage from the Virgin River to the groundwater system is expected to reduce the load discharging from Littlefield Springs in approximately 26 years, the estimated time lag between seepage from the river and discharge of the seepage water, after subsurface transport, from Littlefield Springs. At that time, the entire reduction in dissolved solids seeping from the Virgin River is expected to be realized as a reduction in dissolved solids discharging from Littlefield Springs, resulting in an additional reduction of 24,700 ton/yr (based on 33.4 ft3/s of seepage loss) or 21,000 ton/yr (based on 26.7 ft3/s of seepage loss) in the river’s dissolved-solids load at Littlefield.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145093","collaboration":"Prepared in cooperation with the Bureau of Reclamation and the Colorado River Basin Salinity Control Forum","usgsCitation":"Gerner, S.J., and Thiros, S.A., 2014, Hydrosalinity studies of the Virgin River, Dixie Hot Springs, and Littlefield Springs, Utah, Arizona, and Nevada: U.S. Geological Survey Scientific Investigations Report 2014-5093, vi, 47 p., https://doi.org/10.3133/sir20145093.","productDescription":"vi, 47 p.","numberOfPages":"58","onlineOnly":"Y","ipdsId":"IP-039473","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":292727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145093.jpg"},{"id":292726,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5093/pdf/sir2014-5093.pdf"},{"id":292722,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5093/"}],"projection":"U.S.A. Contiguous Albers Equal Area Conic projection","datum":"North American Datum 1983","country":"United States","state":"Arizona, Nevada, Utah","otherGeospatial":"Dixie Hot Springs, Littlefield Springs, Virgin River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.333333,36.5 ], [ -114.333333,37.5 ], [ -112.916667,37.5 ], [ -112.916667,36.5 ], [ -114.333333,36.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f6f9b7e4b05ec1f24290d9","contributors":{"editors":[{"text":"Gerner, Steven J. 0000-0002-5701-1304 sjgerner@usgs.gov","orcid":"https://orcid.org/0000-0002-5701-1304","contributorId":972,"corporation":false,"usgs":true,"family":"Gerner","given":"Steven","email":"sjgerner@usgs.gov","middleInitial":"J.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":509846,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Thiros, Susan A. 0000-0002-8544-553X sthiros@usgs.gov","orcid":"https://orcid.org/0000-0002-8544-553X","contributorId":965,"corporation":false,"usgs":true,"family":"Thiros","given":"Susan","email":"sthiros@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":509845,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Gerner, Steven J. 0000-0002-5701-1304 sjgerner@usgs.gov","orcid":"https://orcid.org/0000-0002-5701-1304","contributorId":972,"corporation":false,"usgs":true,"family":"Gerner","given":"Steven","email":"sjgerner@usgs.gov","middleInitial":"J.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thiros, Susan A. 0000-0002-8544-553X sthiros@usgs.gov","orcid":"https://orcid.org/0000-0002-8544-553X","contributorId":965,"corporation":false,"usgs":true,"family":"Thiros","given":"Susan","email":"sthiros@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493855,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70120901,"text":"ds860 - 2014 - Baseline coastal oblique aerial photographs collected from Dauphin Island, Alabama, to Breton Island, Louisiana, August 8, 2012","interactions":[],"lastModifiedDate":"2014-08-21T08:30:40","indexId":"ds860","displayToPublicDate":"2014-08-21T08:25:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"860","title":"Baseline coastal oblique aerial photographs collected from Dauphin Island, Alabama, to Breton Island, Louisiana, August 8, 2012","docAbstract":"

The U.S. Geological Survey (USGS) conducts baseline and storm response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms. On August 8, 2012, the USGS conducted an oblique aerial photographic survey from Dauphin Island, Alabama, to Breton Island, Louisiana, aboard a Cessna 172 at an altitude of 500 feet (ft) and approximately 1,000 ft offshore. This mission was flown to collect baseline data for assessing incremental changes since the last survey, and the data can be used in the assessment of future coastal change.

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The images provided here are Joint Photographic Experts Group (JPEG) images. Exiftool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the configuration of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segements can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.

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Table 1 provides detailed information about the GPS location, name, date, and time each of the 1241 photographs taken along with links to each photograph. The photography is organized into segments, also referred to as contact sheets, and represent approximately 5 minutes of flight time. (Also see the Photos and Maps page).

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In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds860","usgsCitation":"Morgan, K., and Westphal, K.A., 2014, Baseline coastal oblique aerial photographs collected from Dauphin Island, Alabama, to Breton Island, Louisiana, August 8, 2012: U.S. Geological Survey Data Series 860, HTML Document, https://doi.org/10.3133/ds860.","productDescription":"HTML Document","onlineOnly":"Y","ipdsId":"IP-049766","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":292725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds860.PNG"},{"id":292724,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0860/ds860_title.html"},{"id":292721,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0860/"}],"country":"United States","state":"Alabama;Louisiana","otherGeospatial":"Breton Island;Dauphin Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.0,29.2 ], [ -90.0,30.8 ], [ -88.0,30.8 ], [ -88.0,29.2 ], [ -90.0,29.2 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f6f9afe4b05ec1f24290b5","contributors":{"authors":[{"text":"Morgan, Karen L.M. 0000-0002-2994-5572","orcid":"https://orcid.org/0000-0002-2994-5572","contributorId":95553,"corporation":false,"usgs":true,"family":"Morgan","given":"Karen L.M.","affiliations":[],"preferred":false,"id":498584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Westphal, Karen A.","contributorId":92435,"corporation":false,"usgs":true,"family":"Westphal","given":"Karen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":498583,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70134825,"text":"70134825 - 2014 - Book review: Spatial capture-recapture","interactions":[],"lastModifiedDate":"2016-06-22T15:15:26","indexId":"70134825","displayToPublicDate":"2014-08-21T00:00:00","publicationYear":"2014","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":"Book review: Spatial capture-recapture","docAbstract":"

Understanding how animals use space is a vital aspect of conservation planning and wildlife management. Technological developments (e.g., increased computer power and desktop geographic information system [GIS] applications) are bringing the ability to analyze spatial data sets to the individual biologist. Therefore, it is not surprising that methodologies have been developed to incorporate space into capture-recapture models, which are some of the most fundamental models in the field of wildlife ecology. Spatial Capture-Recapture (hereafter SCR) is a timely and informative contribution that summarizes the history and motivation behind SCR models, in addition to providing details of the methodological framework that allows the reader to develop and customize SCR models to address their own ecological questions.

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Review info: Spatial Capture-Recapture. By J. Andrew Royle, Richard B. Chandler, Rahel Sollmann, and Beth Gardner, 2014. ISBN: 978-0124059399, 577 pp.

","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.762","usgsCitation":"Russell, R.E., 2014, Book review: Spatial capture-recapture: Journal of Wildlife Management, v. 78, no. 7, p. 1319-1320, https://doi.org/10.1002/jwmg.762.","productDescription":"2 p.","startPage":"1319","endPage":"1320","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057168","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":296461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-08-21","publicationStatus":"PW","scienceBaseUri":"5482e542e4b0aa6d77852ff9","contributors":{"authors":[{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":526491,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}