Ecosystem patterns and disturbance processes at one spatial scale often interact with processes at another scale, and the result of such cross-scale interactions can be nonlinear dynamics with thresholds. Examples of cross-scale pattern-process relationships and interactions among forest dieback, fire, and erosion are illustrated from northern New Mexico (USA) landscapes, where long-term studies have recently documented all of these disturbance processes. For example, environmental stress, operating on individual trees, can cause tree death that is amplified by insect mortality agents to propagate to patch and then landscape or even regional-scale forest dieback. Severe drought and unusual warmth in the southwestern USA since the late 1990s apparently exceeded species-specific physiological thresholds for multiple tree species, resulting in substantial vegetation mortality across millions of hectares of woodlands and forests in recent years. Predictions of forest dieback across spatial scales are constrained by uncertainties associated with: limited knowledge of species-specific physiological thresholds; individual and site-specific variation in these mortality thresholds; and positive feedback loops between rapidly-responding insect herbivore populations and their stressed plant hosts, sometimes resulting in nonlinear “pest” outbreak dynamics. Fire behavior also exhibits nonlinearities across spatial scales, illustrated by changes in historic fire regimes where patch-scale grazing disturbance led to regional-scale collapse of surface fire activity and subsequent recent increases in the scale of extreme fire events in New Mexico. Vegetation dieback interacts with fire activity by modifying fuel amounts and configurations at multiple spatial scales. Runoff and erosion processes are also subject to scale-dependent threshold behaviors, exemplified by ecohydrological work in semiarid New Mexico watersheds showing how declines in ground surface cover lead to non-linear increases in bare patch connectivity and thereby accelerated runoff and erosion at hillslope and watershed scales. Vegetation dieback, grazing, and fire can change land surface properties and cross-scale hydrologic connectivities, directly altering ecohydrological patterns of runoff and erosion. The interactions among disturbance processes across spatial scales can be key drivers in ecosystem dynamics, as illustrated by these studies of recent landscape changes in northern New Mexico. To better anticipate and mitigate accelerating human impacts to the planetary ecosystem at all spatial scales, improvements are needed in our conceptual and quantitative understanding of cross-scale interactions among disturbance processes.
","language":"English","publisher":"Springer","doi":"10.1007/s10021-007-9057-4","usgsCitation":"Allen, C.D., 2007, Interactions across spatial scales among forest dieback, fire, and erosion in northern New Mexico landscapes: Ecosystems, v. 10, no. 5, p. 797-808, https://doi.org/10.1007/s10021-007-9057-4.","productDescription":"12 p.","startPage":"797","endPage":"808","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":488068,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.unl.edu/natrespapers/104","text":"External Repository"},{"id":238928,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","volume":"10","issue":"5","noUsgsAuthors":false,"publicationDate":"2007-06-20","publicationStatus":"PW","scienceBaseUri":"505a3cbce4b0c8380cd62fbc","contributors":{"authors":[{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":428918,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70030850,"text":"70030850 - 2007 - The oxygen-18 isotope approach for measuring aquatic metabolism in high-productivity waters","interactions":[],"lastModifiedDate":"2018-10-16T09:13:56","indexId":"70030850","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"The oxygen-18 isotope approach for measuring aquatic metabolism in high-productivity waters","docAbstract":"We examined the utility of δ18O2 measurements in estimating gross primary production (P), community respiration (R), and net metabolism (P : R) through diel cycles in a productive agricultural stream located in the midwestern U.S.A. Large diel swings in O2(±200 µmol L−1) were accompanied by large diel variation in δ18O2 (±10‰). Simultaneous gas transfer measurements and laboratory‐derived isotopic fractionation factors for O2during respiration (αr) were used in conjunction with the diel monitoring of O2 and δ18O2to calculate P, R, and P :R using three independent isotope‐based methods. These estimates were compared to each other and against the traditional “open‐channel diel O2‐change” technique that lacked δ18O2. A principal advantage of the δ18O2 measurements was quantification of diel variation in R, which increased by up to 30% during the day, and the diel pattern in R was variable and not necessarily predictable from assumed temperature effects on R. The P, R, and P :R estimates calculated using the isotope‐based approaches showed high sensitivity to the assumed system fractionation factor (αr). The optimum modeled ar values (0.986‐0.989) were roughly consistent with the laboratory‐derived values, but larger (i.e., less fractionation) than αr values typically reported for enzyme‐limited respiration in open water environments. Because of large diel variation in O2, P :R could not be estimated by directly applying the typical steady‐state solution to the O2 and 18O‐O2 mass balance equations in the absence of gas transfer data. Instead, our results indicate that a modified steady‐state solution (the daily mean value approach) could be used with time‐averaged O2 and δ18O2 measurements to calculate P :R independent of gas transfer. This approach was applicable under specifically defined, net heterotrophic conditions. The diel cycle of increasing daytime R and decreasing nighttime R was only partially explained by temperature variation, but could be consistent with the diel production/consumption of labile dissolved organic carbon from photosynthesis.
","language":"English","publisher":"ASLO","doi":"10.4319/lo.2007.52.4.1439","issn":"00243590","usgsCitation":"Tobias, C., Bohlke, J.K., and Harvey, J.W., 2007, The oxygen-18 isotope approach for measuring aquatic metabolism in high-productivity waters: Limnology and Oceanography, v. 52, no. 4, p. 1439-1453, https://doi.org/10.4319/lo.2007.52.4.1439.","productDescription":"15 p.","startPage":"1439","endPage":"1453","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":477139,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4319/lo.2007.52.4.1439","text":"Publisher Index Page"},{"id":238996,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"4","noUsgsAuthors":false,"publicationDate":"2007-07-31","publicationStatus":"PW","scienceBaseUri":"505bae7ae4b08c986b324114","contributors":{"authors":[{"text":"Tobias, Craig R.","contributorId":23410,"corporation":false,"usgs":false,"family":"Tobias","given":"Craig R.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":428934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, John Karl 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":127841,"corporation":false,"usgs":true,"family":"Bohlke","given":"John","email":"jkbohlke@usgs.gov","middleInitial":"Karl","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":428936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":428935,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70030860,"text":"70030860 - 2007 - Investigation of reductive dechlorination supported by natural organic carbon","interactions":[],"lastModifiedDate":"2018-10-16T11:28:56","indexId":"70030860","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1864,"text":"Ground Water Monitoring and Remediation","active":true,"publicationSubtype":{"id":10}},"title":"Investigation of reductive dechlorination supported by natural organic carbon","docAbstract":"Because remediation timeframes using monitored natural attenuation may span decades or even centuries at chlorinated solvent sites, new approaches are needed to assess the long-term sustainability of reductive dechlorination in ground water systems. In this study, extraction procedures were used to investigate the mass of indigenous organic carbon in aquifer sediment, and experiments were conducted to determine if the extracted carbon could support reductive dechlorination of chloroethenes. Aquifer sediment cores were collected from a site without an anthropogenic source of organic carbon where organic carbon varied from 0.02% to 0.12%. Single extraction results showed that 1% to 28% of sediment-associated organic carbon and 2% to 36% of the soft carbon were removed depending on nature and concentration of the extracting solution (Nanopure water; 0.1%, 0.5%, and 1.0% sodium pyrophosphate; and 0.5 N sodium hydroxide). Soft carbon is defined as organic carbon oxidized with potassium persulfate and is assumed to serve as a source of biodegradable carbon within the aquifer. Biodegradability studies demonstrated that 20% to 40% of extracted organic carbon was biodegraded aerobically and anaerobically by soil microorganisms in relatively brief tests (45 d). A five-step extraction procedure consisting of 0.1% pyrophosphate and base solutions was investigated to quantify bioavailable organic carbon. Using the extracted carbon as the sole electron donor source, tetrachloroethene was transformed to cis-1,2- dichloroethene and vinyl chloride in anaerobic enrichment culture experiments. Hydrogen gas was produced at levels necessary to sustain reductive dechlorination (>1 nM).
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water Monitoring and Remediation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1745-6592.2007.00173.x","issn":"10693629","usgsCitation":"Rectanus, H.V., Widdowson, M.A., Chapelle, F.H., Kelly, C., and Novak, J.T., 2007, Investigation of reductive dechlorination supported by natural organic carbon: Ground Water Monitoring and Remediation, v. 27, no. 4, p. 53-62, https://doi.org/10.1111/j.1745-6592.2007.00173.x.","productDescription":"10 p.","startPage":"53","endPage":"62","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238634,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211358,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6592.2007.00173.x"}],"volume":"27","issue":"4","noUsgsAuthors":false,"publicationDate":"2007-11-20","publicationStatus":"PW","scienceBaseUri":"505a3e94e4b0c8380cd63eb3","contributors":{"authors":[{"text":"Rectanus, Heather V.","contributorId":46351,"corporation":false,"usgs":true,"family":"Rectanus","given":"Heather","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":428976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Widdowson, Mark A.","contributorId":90379,"corporation":false,"usgs":true,"family":"Widdowson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":428977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":428980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelly, C.A.","contributorId":72564,"corporation":false,"usgs":true,"family":"Kelly","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":428978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Novak, John T.","contributorId":41753,"corporation":false,"usgs":true,"family":"Novak","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":428979,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70030888,"text":"70030888 - 2007 - Spatial and temporal variations in silver contamination and toxicity in San Francisco Bay","interactions":[],"lastModifiedDate":"2018-10-11T18:50:04","indexId":"70030888","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1561,"text":"Environmental Research","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal variations in silver contamination and toxicity in San Francisco Bay","docAbstract":"Although San Francisco Bay has a \"Golden Gate\", it may be argued that it is the \"Silver Estuary\". For at one time the Bay was reported to have the highest levels of silver in its sediments and biota, along with the only accurately measured values of silver in solution, of any estuarine system. Since then others have argued that silver contamination is higher elsewhere (e.g., New York Bight, Florida Bay, Galveston Bay) in a peculiar form of pollution machismo, while silver contamination has measurably declined in sediments, biota, and surface waters of the Bay over the past two to three decades. Documentation of those systemic temporal declines has been possible because of long-term, ongoing monitoring programs, using rigorous trace metal clean sampling and analytical techniques, of the United States Geological Survey and San Francisco Bay Regional Monitoring Program that are summarized in this report. However, recent toxicity studies with macro-invertebrates in the Bay have indicated that silver may still be adversely affecting the health of the estuarine system, and other studies have indicated that silver concentrations in the Bay may be increasing due to new industrial inputs and/or the diagenetic remobilization of silver from historically contaminated sediments being re-exposed to overlying surface waters and benthos. Consequently, the Bay may not be ready to relinquish its title as the \"Silver Estuary\".
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.envres.2007.05.006","issn":"00139351","usgsCitation":"Flegal, A., Brown, C.L., Squire, S., Ross, J., Scelfo, G., and Hibdon, S., 2007, Spatial and temporal variations in silver contamination and toxicity in San Francisco Bay: Environmental Research, v. 105, no. 1, p. 34-52, https://doi.org/10.1016/j.envres.2007.05.006.","productDescription":"19 p.","startPage":"34","endPage":"52","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":239033,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211693,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envres.2007.05.006"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.64862060546875,\n 37.391981943533544\n ],\n [\n -121.74362182617188,\n 37.391981943533544\n ],\n [\n -121.74362182617188,\n 38.238180119798635\n ],\n [\n -122.64862060546875,\n 38.238180119798635\n ],\n [\n -122.64862060546875,\n 37.391981943533544\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"105","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b945ae4b08c986b31aa18","contributors":{"authors":[{"text":"Flegal, A.R.","contributorId":64607,"corporation":false,"usgs":true,"family":"Flegal","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":429095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Cynthia L. clbrown@usgs.gov","contributorId":206,"corporation":false,"usgs":true,"family":"Brown","given":"Cynthia","email":"clbrown@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":429093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Squire, S.","contributorId":79289,"corporation":false,"usgs":true,"family":"Squire","given":"S.","email":"","affiliations":[],"preferred":false,"id":429097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ross, J.R.M.","contributorId":75756,"corporation":false,"usgs":true,"family":"Ross","given":"J.R.M.","email":"","affiliations":[],"preferred":false,"id":429096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scelfo, G.M.","contributorId":24993,"corporation":false,"usgs":true,"family":"Scelfo","given":"G.M.","email":"","affiliations":[],"preferred":false,"id":429092,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hibdon, S.","contributorId":45113,"corporation":false,"usgs":true,"family":"Hibdon","given":"S.","email":"","affiliations":[],"preferred":false,"id":429094,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70030890,"text":"70030890 - 2007 - Ecohydrological controls on soil moisture and hydraulic conductivity within a pinyon‐juniper woodland","interactions":[],"lastModifiedDate":"2018-04-03T12:16:30","indexId":"70030890","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Ecohydrological controls on soil moisture and hydraulic conductivity within a pinyon‐juniper woodland","docAbstract":"The impact of pinyon‐juniper woodland encroachment on rangeland ecosystems is often associated with a reduction of streamflow and recharge and an increase in soil erosion. The objective of this study is to investigate vegetational control on seasonal soil hydrologic properties along a 15‐m transect in pinyon‐juniper woodland with biocrust. We demonstrate that the juniper tree controls soil water content (SWC) patterns directly under the canopy via interception, and beyond the canopy via shading in a preferred orientation, opposite to the prevailing wind direction. The juniper also controls the SWC and unsaturated hydraulic conductivity measured close to water saturation (K(h)) under the canopy by the creation of soil water repellency due to needle drop. We use this information to refine the hydrologic functional unit (HFU) concept into three interacting hydrologic units: canopy patches, intercanopy patches, and a transitional unit formed by intercanopy patches in the rain shadow of the juniper tree. Spatial autoregressive state‐space models show the close relationship between K(h) close to soil water saturation and SWC at medium and low levels, integrating a number of influences on hydraulic conductivity.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2006WR005398","usgsCitation":"Lebron, I., Madsen, M., Chandler, D., Robinson, D., Wendroth, O., and Belnap, J., 2007, Ecohydrological controls on soil moisture and hydraulic conductivity within a pinyon‐juniper woodland: Water Resources Research, v. 43, no. 8, Article W08422; 15 p., https://doi.org/10.1029/2006WR005398.","productDescription":"Article W08422; 15 p.","costCenters":[],"links":[{"id":477215,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2006wr005398","text":"Publisher Index Page"},{"id":238530,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"8","noUsgsAuthors":false,"publicationDate":"2007-08-22","publicationStatus":"PW","scienceBaseUri":"505a053de4b0c8380cd50d04","contributors":{"authors":[{"text":"Lebron, I.","contributorId":94170,"corporation":false,"usgs":true,"family":"Lebron","given":"I.","email":"","affiliations":[],"preferred":false,"id":429106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madsen, M.D.","contributorId":37216,"corporation":false,"usgs":true,"family":"Madsen","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":429103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chandler, D.G.","contributorId":105180,"corporation":false,"usgs":true,"family":"Chandler","given":"D.G.","email":"","affiliations":[],"preferred":false,"id":429107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, D.A.","contributorId":64895,"corporation":false,"usgs":true,"family":"Robinson","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":429104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wendroth, O.","contributorId":82533,"corporation":false,"usgs":true,"family":"Wendroth","given":"O.","email":"","affiliations":[],"preferred":false,"id":429105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Belnap, J. 0000-0001-7471-2279","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":23872,"corporation":false,"usgs":true,"family":"Belnap","given":"J.","affiliations":[],"preferred":false,"id":429102,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70030891,"text":"70030891 - 2007 - Isotopic analysis of N and O in nitrite and nitrate by sequential selective bacterial reduction to N2O","interactions":[],"lastModifiedDate":"2018-10-17T08:54:35","indexId":"70030891","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":761,"text":"Analytical Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Isotopic analysis of N and O in nitrite and nitrate by sequential selective bacterial reduction to N2O","title":"Isotopic analysis of N and O in nitrite and nitrate by sequential selective bacterial reduction to N2O","docAbstract":"Nitrite is an important intermediate species in the biogeochemical cycling of nitrogen, but its role in natural aquatic systems is poorly understood. Isotopic data can be used to study the sources and transformations of NO2- in the environment, but methods for independent isotopic analyses of NO2- in the presence of other N species are still new and evolving. This study demonstrates that isotopic analyses of N and O in NO2- can be done by treating whole freshwater or saltwater samples with the denitrifying bacterium Stenotrophomonas nitritireducens, which selectively reduces NO2- to N2O for isotope ratio mass spectrometry. When calibrated with solutions containing NO2- with known isotopic compositions determined independently, reproducible δ15N and δ18O values were obtained at both natural-abundance levels (±0.2−0.5‰ for δ15N and ±0.4−1.0‰ for δ18O) and moderately enriched 15N tracer levels (±20−50‰ for δ15N near 5000‰) for 5−20 nmol of NO2- (1−20 μmol/L in 1−5 mL aliquots). This method is highly selective for NO2-and was used for mixed samples containing both NO2- and NO3- with little or no measurable cross-contamination. In addition, mixed samples that were analyzed with S. nitritireducens were treated subsequently with Pseudomonas aureofaciens to reduce the NO3- in the absence of NO2-, providing isotopic analyses of NO2- and NO3- separately in the same aliquot. Sequential bacterial reduction methods like this one should be useful for a variety of isotopic studies aimed at understanding nitrogen cycling in aquatic environments. A test of these methods in an agricultural watershed in Indiana provides isotopic evidence for both nitrification and denitrification as sources of NO2- in a small stream.
","language":"English","publisher":"ACS","doi":"10.1021/ac070176k","issn":"00032700","usgsCitation":"Bohlke, J.K., Smith, R.L., and Hannon, J.E., 2007, Isotopic analysis of N and O in nitrite and nitrate by sequential selective bacterial reduction to N2O: Analytical Chemistry, v. 79, no. 15, p. 5888-5895, https://doi.org/10.1021/ac070176k.","productDescription":"8 p.","startPage":"5888","endPage":"5895","numberOfPages":"8","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238563,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211294,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/ac070176k"}],"country":"United States","state":"Indiana","volume":"79","issue":"15","noUsgsAuthors":false,"publicationDate":"2007-06-21","publicationStatus":"PW","scienceBaseUri":"505a3f93e4b0c8380cd64613","contributors":{"authors":[{"text":"Bohlke, John Karl 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":127841,"corporation":false,"usgs":true,"family":"Bohlke","given":"John","email":"jkbohlke@usgs.gov","middleInitial":"Karl","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":429110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Richard L. 0000-0002-3829-0125 rlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3829-0125","contributorId":1592,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rlsmith@usgs.gov","middleInitial":"L.","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":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":429109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hannon, Janet E. jehannon@usgs.gov","contributorId":3177,"corporation":false,"usgs":true,"family":"Hannon","given":"Janet","email":"jehannon@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":429108,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70030893,"text":"70030893 - 2007 - Water use regimes: Characterizing direct human interaction with hydrologic systems","interactions":[],"lastModifiedDate":"2018-04-03T11:40:13","indexId":"70030893","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Water use regimes: Characterizing direct human interaction with hydrologic systems","docAbstract":"The sustainability of human water use practices is a rapidly growing concern in the United States and around the world. To better characterize direct human interaction with hydrologic systems (stream basins and aquifers), we introduce the concept of the water use regime. Unlike scalar indicators of anthropogenic hydrologic stress in the literature, the water use regime is a two‐dimensional, vector indicator that can be depicted on simple x‐y plots of normalized human withdrawals (hout) versus normalized human return flows (hin). Four end‐member regimes, natural‐flow‐dominated (undeveloped), human‐flow‐dominated (churned), withdrawal‐dominated (depleted), and return‐flow‐dominated (surcharged), are defined in relation to limiting values of hout and hin. For illustration, the water use regimes of 19 diverse hydrologic systems are plotted and interpreted. Several of these systems, including the Yellow River Basin, China, and the California Central Valley Aquifer, are shown to approach particular end‐member regimes. Spatial and temporal regime variations, both seasonal and long‐term, are depicted. Practical issues of data availability and regime uncertainty are addressed in relation to the statistical properties of the ratio estimators hout and hin. The water use regime is shown to be a useful tool for comparative water resources assessment and for describing both historic and alternative future pathways of water resource development at a range of scales.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2006WR005062","usgsCitation":"Weiskel, P.K., Vogel, R.M., Steeves, P.A., Zarriello, P.J., DeSimone, L.A., and Ries, K., 2007, Water use regimes: Characterizing direct human interaction with hydrologic systems: Water Resources Research, v. 43, no. 4, Article W04402; 11 p., https://doi.org/10.1029/2006WR005062.","productDescription":"Article W04402; 11 p.","costCenters":[],"links":[{"id":477189,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2006wr005062","text":"Publisher Index Page"},{"id":238597,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"4","noUsgsAuthors":false,"publicationDate":"2007-04-04","publicationStatus":"PW","scienceBaseUri":"505bccbfe4b08c986b32dcdc","contributors":{"authors":[{"text":"Weiskel, Peter K. pweiskel@usgs.gov","contributorId":1099,"corporation":false,"usgs":true,"family":"Weiskel","given":"Peter","email":"pweiskel@usgs.gov","middleInitial":"K.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":429116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vogel, Richard M.","contributorId":66811,"corporation":false,"usgs":true,"family":"Vogel","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":429114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steeves, Peter A. 0000-0001-7558-9719 psteeves@usgs.gov","orcid":"https://orcid.org/0000-0001-7558-9719","contributorId":1873,"corporation":false,"usgs":true,"family":"Steeves","given":"Peter","email":"psteeves@usgs.gov","middleInitial":"A.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":429115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zarriello, Philip J.","contributorId":21588,"corporation":false,"usgs":false,"family":"Zarriello","given":"Philip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":429113,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeSimone, Leslie A. 0000-0003-0774-9607 ldesimon@usgs.gov","orcid":"https://orcid.org/0000-0003-0774-9607","contributorId":195635,"corporation":false,"usgs":true,"family":"DeSimone","given":"Leslie","email":"ldesimon@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":429117,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ries, Kernell G. III kries@usgs.gov","contributorId":1913,"corporation":false,"usgs":true,"family":"Ries","given":"Kernell G.","suffix":"III","email":"kries@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":429112,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70030895,"text":"70030895 - 2007 - Oxygen isotopes in nitrite: Analysis, calibration, and equilibration","interactions":[],"lastModifiedDate":"2018-10-17T09:37:20","indexId":"70030895","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":761,"text":"Analytical Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Oxygen isotopes in nitrite: Analysis, calibration, and equilibration","docAbstract":"Nitrite is a central intermediate in the nitrogen cycle and can persist in significant concentrations in ocean waters, sediment pore waters, and terrestrial groundwaters. To fully interpret the effect of microbial processes on nitrate (NO3-), nitrite (NO2-), and nitrous oxide (N2O) cycling in these systems, the nitrite pool must be accessible to isotopic analysis. Furthermore, because nitrite interferes with most methods of nitrate isotopic analysis, accurate isotopic analysis of nitrite is essential for correct measurement of nitrate isotopes in a sample that contains nitrite. In this study, nitrite salts with varying oxygen isotopic compositions were prepared and calibrated and then used to test the denitrifier method for nitrite oxygen isotopic analysis. The oxygen isotopic fractionation during nitrite reduction to N2O by Pseudomonas aureofaciens was lower than for nitrate conversion to N2O, while oxygen isotopic exchange between nitrite and water during the reaction was similar. These results enable the extension of the denitrifier method to oxygen isotopic analysis of nitrite (in the absence of nitrate) and correction of nitrate isotopes for the presence of nitrite in “mixed” samples. We tested storage conditions for seawater and freshwater samples that contain nitrite and provide recommendations for accurate oxygen isotopic analysis of nitrite by any method. Finally, we report preliminary results on the equilibrium isotope effect between nitrite and water, which can play an important role in determining the oxygen isotopic value of nitrite where equilibration with water is significant.
","language":"English","publisher":"ACS","doi":"10.1021/ac061598h","issn":"00032700","usgsCitation":"Casciotti, K., Bohlke, J.K., McIlvin, M., Mroczkowski, S.J., and Hannon, J.E., 2007, Oxygen isotopes in nitrite: Analysis, calibration, and equilibration: Analytical Chemistry, v. 79, no. 6, p. 2427-2436, https://doi.org/10.1021/ac061598h.","productDescription":"10 p.","startPage":"2427","endPage":"2436","numberOfPages":"10","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238635,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211359,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/ac061598h"}],"volume":"79","issue":"6","noUsgsAuthors":false,"publicationDate":"2007-02-13","publicationStatus":"PW","scienceBaseUri":"505a72b2e4b0c8380cd76c47","contributors":{"authors":[{"text":"Casciotti, K.L.","contributorId":57653,"corporation":false,"usgs":true,"family":"Casciotti","given":"K.L.","affiliations":[],"preferred":false,"id":429121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, John Karl 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":127841,"corporation":false,"usgs":true,"family":"Bohlke","given":"John","email":"jkbohlke@usgs.gov","middleInitial":"Karl","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":429124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McIlvin, M.R.","contributorId":75754,"corporation":false,"usgs":true,"family":"McIlvin","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":429123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mroczkowski, Stanley J. 0000-0001-8026-6025 smroczko@usgs.gov","orcid":"https://orcid.org/0000-0001-8026-6025","contributorId":2628,"corporation":false,"usgs":true,"family":"Mroczkowski","given":"Stanley","email":"smroczko@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":429122,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hannon, Janet E. jehannon@usgs.gov","contributorId":3177,"corporation":false,"usgs":true,"family":"Hannon","given":"Janet","email":"jehannon@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":429120,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70030964,"text":"70030964 - 2007 - Thioarsenates in geothermal waters of Yellowstone National Park: Determination, preservation, and geochemical importance","interactions":[],"lastModifiedDate":"2018-10-16T08:33:27","indexId":"70030964","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Thioarsenates in geothermal waters of Yellowstone National Park: Determination, preservation, and geochemical importance","docAbstract":"Mono-, di-, tri-, and tetrathioarsenate, as well as methylated arsenic oxy- and thioanions, were determined besides arsenite and arsenate in geothermal waters of Yellowstone National Park using anion-exchange chromatography inductively coupled plasma mass spectrometry. Retention time match with synthetic standards, measured S:As ratios, and molecular electrospray mass spectra support the identification. Acidification was unsuitable for arsenic species preservation in sulfidic waters, with HCl addition causing loss of total dissolved arsenic, presumably by precipitation of arsenic-sulfides. Flash-freezing is preferred for the preservation of arsenic species for several weeks. After thawing, samples must be analyzed immediately. Thioarsenates occurred over a pH range of 2.1 to 9.3 in the geothermal waters. They clearly predominated under alkaline conditions (up to 83% of total arsenic), but monothioarsenate also was detected in acidic waters (up to 34%). Kinetic studies along a drainage channel showed the importance of thioarsenates for the fate of arsenic discharged from the sulfidic hot spring. The observed arsenic speciation changes suggest three separate reactions: the transformation of trithioarsenate to arsenite (major initial reaction), the stepwise ligand exchange from tri- via di- and monothioarsenate to arsenate (minor reaction), and the oxidation of arsenite to arsenate, which only becomes quantitatively important after thioarsenates have disappeared.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1021/es070273v","issn":"0013936X","usgsCitation":"Planer-Friedrich, B., London, J., McCleskey, R.B., Nordstrom, D.K., and Wallschlager, D., 2007, Thioarsenates in geothermal waters of Yellowstone National Park: Determination, preservation, and geochemical importance: Environmental Science & Technology, v. 41, no. 15, p. 5245-5251, https://doi.org/10.1021/es070273v.","productDescription":"7 p.","startPage":"5245","endPage":"5251","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":211362,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es070273v"},{"id":238640,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.368408203125,\n 43.67581809328341\n ],\n [\n -109.522705078125,\n 43.67581809328341\n ],\n [\n -109.522705078125,\n 45.19752230305682\n ],\n [\n -111.368408203125,\n 45.19752230305682\n ],\n [\n -111.368408203125,\n 43.67581809328341\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"15","noUsgsAuthors":false,"publicationDate":"2007-06-16","publicationStatus":"PW","scienceBaseUri":"505bb2c0e4b08c986b3259b9","contributors":{"authors":[{"text":"Planer-Friedrich, B.","contributorId":87749,"corporation":false,"usgs":true,"family":"Planer-Friedrich","given":"B.","email":"","affiliations":[],"preferred":false,"id":429419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"London, J.","contributorId":22931,"corporation":false,"usgs":true,"family":"London","given":"J.","email":"","affiliations":[],"preferred":false,"id":429417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":429416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":429420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wallschlager, D.","contributorId":38357,"corporation":false,"usgs":true,"family":"Wallschlager","given":"D.","email":"","affiliations":[],"preferred":false,"id":429418,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70030984,"text":"70030984 - 2007 - Monitoring engineered remediation with borehole radar","interactions":[],"lastModifiedDate":"2019-10-17T09:54:03","indexId":"70030984","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring engineered remediation with borehole radar","docAbstract":"The success of engineered remediation is predicated on correct emplacement of either amendments (e.g., vegetable-oil emulsion, lactate, molasses, etc.) or permeable reactive barriers (e.g., vegetable oil, zero-valent iron, etc.) to enhance microbial or geochemical breakdown of contaminants and treat contaminants. Currently, site managers have limited tools to provide information about the distribution of injected materials; the existence of gaps or holes in barriers; and breakdown or transformation of injected materials over time.
","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.2769561","issn":"1070485X","usgsCitation":"Lane, J.W., Day-Lewis, F.D., and Joesten, P.K., 2007, Monitoring engineered remediation with borehole radar: The Leading Edge, v. 26, no. 8, p. 1032-1035, https://doi.org/10.1190/1.2769561.","productDescription":"4 p.","startPage":"1032","endPage":"1035","numberOfPages":"4","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238969,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5da3e4b0c8380cd704d4","contributors":{"authors":[{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":429503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":429501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Joesten, Peter K. pjoesten@usgs.gov","contributorId":1929,"corporation":false,"usgs":true,"family":"Joesten","given":"Peter","email":"pjoesten@usgs.gov","middleInitial":"K.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":429502,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70031013,"text":"70031013 - 2007 - Deglacial climate variability in central Florida, USA","interactions":[],"lastModifiedDate":"2014-10-09T10:23:24","indexId":"70031013","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Deglacial climate variability in central Florida, USA","docAbstract":"Pollen and ostracode evidence from lacustrine sediments underlying modern Tampa Bay, Florida, document frequent and abrupt climatic and hydrological events superimposed on deglacial warming in the subtropics. Radiocarbon chronology on well-preserved mollusk shells and pollen residue from core MD02-2579 documents continuous sedimentation in a variety of non-marine habitats in a karst-controlled basin from 20 ka to 11.5 ka.
\nDuring the last glacial maximum (LGM), much drier and cooler-than-modern conditions are indicated by pollen assemblages enriched in Chenopodiaceae and Carya, with rare Pinus (< 10%). Pinus pollen increased to 20–40% during the warming of the initial deglaciation (∼ 17.2 ka), reaching near modern abundance (60–80%) during warmer, moister climates of the Bølling/Allerød interval (14.7–12.9 ka). Within the Bølling/Allerød, centennial-scale dry events corresponding to the Older Dryas and Intra-Allerød Cold Period indicate rapid vegetation response (< 50 years) to climate variability. The Younger Dryas (12.9–11.6 ka) was characterized by two distinct phases: slightly drier than the peak Bølling/Allerød between 12.9 and 12.3 ka and much drier from 12.3 to 11.5 ka. The Tampa Bay record of deglacial atmospheric temperature and moisture can be correlated with other paleoclimate records in the North Atlantic region and has implications for climate-forcing by ice-sheet fluctuation, thermohaline circulation, and atmospheric circulation.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Palaeogeography, Palaeoclimatology, Palaeoecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2007.04.016","issn":"00310182","usgsCitation":"Willard, D., Bernhardt, C., Brooks, G.R., Cronin, T.M., Edgar, T., and Larson, R., 2007, Deglacial climate variability in central Florida, USA: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 251, no. 3-4, p. 366-382, https://doi.org/10.1016/j.palaeo.2007.04.016.","productDescription":"17 p.","startPage":"366","endPage":"382","numberOfPages":"17","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":211592,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.palaeo.2007.04.016"},{"id":238905,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay","volume":"251","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fe51e4b0c8380cd4ec7c","contributors":{"authors":[{"text":"Willard, Debra A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":85982,"corporation":false,"usgs":true,"family":"Willard","given":"Debra A.","affiliations":[],"preferred":false,"id":429639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernhardt, C.E.","contributorId":65554,"corporation":false,"usgs":true,"family":"Bernhardt","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":429637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, G. R.","contributorId":96312,"corporation":false,"usgs":true,"family":"Brooks","given":"G.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":429640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cronin, T. M. 0000-0002-2643-0979","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":42613,"corporation":false,"usgs":true,"family":"Cronin","given":"T.","email":"","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":false,"id":429636,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edgar, T.","contributorId":70595,"corporation":false,"usgs":true,"family":"Edgar","given":"T.","email":"","affiliations":[],"preferred":false,"id":429638,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larson, R.","contributorId":30438,"corporation":false,"usgs":true,"family":"Larson","given":"R.","affiliations":[],"preferred":false,"id":429635,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70031016,"text":"70031016 - 2007 - Identifying sources of nitrogen to Hanalei Bay, Kauai, utilizing the nitrogen isotope signature of macroalgae","interactions":[],"lastModifiedDate":"2023-07-31T12:20:02.840178","indexId":"70031016","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Identifying sources of nitrogen to Hanalei Bay, Kauai, utilizing the nitrogen isotope signature of macroalgae","docAbstract":"Sewage effluent, storm runoff, discharge from polluted rivers, and inputs of groundwater have all been suggested as potential sources of land derived nutrients into Hanalei Bay, Kauai. We determined the nitrogen isotopic signatures (δ15N) of different nitrate sources to Hanalei Bay along with the isotopic signature recorded by 11 species of macroalgal collected in the Bay. The macroalgae integrate the isotopic signatures of the nitrate sources over time, thus these data along with the nitrate to dissolved inorganic phosphate molar ratios (N:P) of the macroalgae were used to determine the major nitrate source to the bay ecosystem and which of the macro-nutrients is limiting algae growth, respectively. Relatively low δ15N values (average −0.5‰) were observed in all algae collected throughout the Bay; implicating fertilizer, rather than domestic sewage, as an important external source of nitrogen to the coastal water around Hanalei. The N:P ratio in the algae compared to the ratio in the Bay waters imply that the Hanalei Bay coastal ecosystem is nitrogen limited and thus, increased nitrogen input may potentially impact this coastal ecosystem and specifically the coral reefs in the Bay. Identifying the major source of nutrient loading to the Bay is important for risk assessment and potential remediation plans.
Although depletion of storage in low‐permeability confining layers is the source of much of the groundwater produced from many confined aquifer systems, it is all too frequently overlooked or ignored. This makes effective management of groundwater resources difficult by masking how much water has been derived from storage and, in some cases, the total amount of water that has been extracted from an aquifer system. Analyzing confining layer storage is viewed as troublesome because of the additional computational burden and because the hydraulic properties of confining layers are poorly known. In this paper we propose a simplified method for computing estimates of confining layer depletion, as well as procedures for approximating confining layer hydraulic conductivity (K) and specific storage (Ss) using geologic information. The latter makes the technique useful in developing countries and other settings where minimal data are available or when scoping calculations are needed. As such, our approach may be helpful for estimating the global transfer of groundwater to surface water. A test of the method on a synthetic system suggests that the computational errors will generally be small. Larger errors will probably result from inaccuracy in confining layer property estimates, but these may be no greater than errors in more sophisticated analyses. The technique is demonstrated by application to two aquifer systems: the Dakota artesian aquifer system in South Dakota and the coastal plain aquifer system in Virginia. In both cases, depletion from confining layers was substantially larger than depletion from the aquifers.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2006WR005597","usgsCitation":"Konikow, L.F., and Neuzil, C.E., 2007, A method to estimate groundwater depletion from confining layers: Water Resources Research, v. 43, no. 7, W07417; 15 p., https://doi.org/10.1029/2006WR005597.","productDescription":"W07417; 15 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":477219,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2006wr005597","text":"Publisher Index Page"},{"id":238609,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"43","issue":"7","noUsgsAuthors":false,"publicationDate":"2007-07-13","publicationStatus":"PW","scienceBaseUri":"5059e460e4b0c8380cd465ff","contributors":{"authors":[{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":429688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neuzil, Christopher E. 0000-0003-2022-4055 ceneuzil@usgs.gov","orcid":"https://orcid.org/0000-0003-2022-4055","contributorId":2322,"corporation":false,"usgs":true,"family":"Neuzil","given":"Christopher","email":"ceneuzil@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":429689,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70031041,"text":"70031041 - 2007 - Distribution of selected halogenated organic compounds among suspended particulate, colloid, and aqueous phases in the Mississippi River and major tributaries","interactions":[],"lastModifiedDate":"2018-10-16T09:00:55","indexId":"70031041","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Distribution of selected halogenated organic compounds among suspended particulate, colloid, and aqueous phases in the Mississippi River and major tributaries","docAbstract":"Suspended particulate, colloid, and aqueous phases were separated and analyzed to determine spatial variation of specific organic compound transport associated with each phase in a dynamic river system. Sixteen sites along the Mississippi River and its major tributaries were sampled at low-flow conditions to maximize the possibility of equilibrium. Across the solubility range studied, the proportion transported by each phase depended on the compound solubility, with more water-soluble compounds (dacthal, trifluralin) transported predominantly in the aqueous phase and less-water soluble compounds (polychlorinated biphenyls, chlordane-related compounds) transported predominantly in the particulate and colloid phases.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Archives of Environmental Contamination and Toxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00244-005-0056-1","issn":"00904341","usgsCitation":"Rostad, C.E., and Daniel, S., 2007, Distribution of selected halogenated organic compounds among suspended particulate, colloid, and aqueous phases in the Mississippi River and major tributaries: Archives of Environmental Contamination and Toxicology, v. 53, no. 2, p. 151-158, https://doi.org/10.1007/s00244-005-0056-1.","productDescription":"8 p.","startPage":"151","endPage":"158","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238810,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211511,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00244-005-0056-1"}],"country":"United States","volume":"53","issue":"2","noUsgsAuthors":false,"publicationDate":"2007-06-11","publicationStatus":"PW","scienceBaseUri":"505a02fde4b0c8380cd502b9","contributors":{"authors":[{"text":"Rostad, Colleen E. cerostad@usgs.gov","contributorId":833,"corporation":false,"usgs":true,"family":"Rostad","given":"Colleen","email":"cerostad@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":429742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Daniel, S.R.","contributorId":28379,"corporation":false,"usgs":true,"family":"Daniel","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":429741,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70031051,"text":"70031051 - 2007 - Climate variability controls on unsaturated water and chemical movement, High Plains aquifer, USA","interactions":[],"lastModifiedDate":"2023-07-28T11:47:45.07131","indexId":"70031051","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Climate variability controls on unsaturated water and chemical movement, High Plains aquifer, USA","docAbstract":"Responses in the vadose zone and groundwater to interannual, interdecadal, and multidecadal climate variability have important implications for groundwater resource sustainability, yet they are poorly documented and not well understood in most aquifers of the USA. This investigation systematically examines the role of interannual to multidecadal climate variability on groundwater levels, deep infiltration (3–23 m) events, and downward displacement (>1 m) of chloride and nitrate reservoirs in thick (15–50 m) vadose zones across the regionally extensive High Plains aquifer. Such vadose zone responses are unexpected across much of the aquifer given a priori that unsaturated total-potential profiles indicate upward water movement from the water table toward the root zone, mean annual potential evapotranspiration exceeds mean annual precipitation, and millennia-scale evapoconcentration results in substantial vadose zone chloride and nitrate reservoirs. Using singular spectrum analysis (SSA) to reconstruct precipitation and groundwater level time-series components, variability was identified in all time series as partially coincident with known climate cycles, such as the Pacific Decadal Oscillation (PDO) (10–25 yr) and the El Niño/Southern Oscillation (ENSO) (2–6 yr). Using these lag-correlated hydrologic time series, a new method is demonstrated to estimate climate-varying unsaturated water flux. The results suggest the importance of interannual to interdecadal climate variability on water-flux estimation in thick vadose zones and provide better understanding of the climate-induced transients responsible for the observed deep infiltration and chemical-mobilization events. Based on these results, we discuss implications for climate-related sustainability of the High Plains aquifer.
The fungal pathogen Batrachochytrium dendrobatidis (Bd) causes chytridiomycosis, a disease implicated in amphibian declines on 5 continents. Polymerase chain reaction (PCR) primer sets exist with which amphibians can be tested for this disease, and advances in sampling techniques allow non-invasive testing of animals. We developed filtering and PCR based quantitative methods by modifying existing PCR assays to detect Bd DNA in water and sediments, without the need for testing amphibians; we tested the methods at 4 field sites. The SYBR based assay using Boyle primers (SYBR/Boyle assay) and the Taqman based assay using Wood primers performed similarly with samples generated in the laboratory (Bd spiked filters), but the SYBR/Boyle assay detected Bd DNA in more field samples. We detected Bd DNA in water from 3 of 4 sites tested, including one pond historically negative for chytridiomycosis. Zoospore equivalents in sampled water ranged from 19 to 454 l-1 (nominal detection limit is 10 DNA copies, or about 0.06 zoospore). We did not detect DNA of Bd from sediments collected at any sites. Our filtering and amplification methods provide a new tool to investigate critical aspects of Bd in the environment.
","language":"English","publisher":"Inter-Research","doi":"10.3354/dao01831","issn":"01775103","usgsCitation":"Kirshtein, J.D., Anderson, C., Wood, J., Longcore, J.E., and Voytek, M.A., 2007, Quantitative PCR detection of Batrachochytrium dendrobatidis DNA from sediments and water: Diseases of Aquatic Organisms, v. 77, no. 1, p. 11-15, https://doi.org/10.3354/dao01831.","productDescription":"5 p.","startPage":"11","endPage":"15","numberOfPages":"5","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":487663,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao01831","text":"Publisher Index Page"},{"id":238780,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211484,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/dao01831"}],"volume":"77","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a91f9e4b0c8380cd8059d","contributors":{"authors":[{"text":"Kirshtein, Julie D.","contributorId":26033,"corporation":false,"usgs":true,"family":"Kirshtein","given":"Julie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":429899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":1151,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey W.","email":"chauncey@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":429898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, J.S.","contributorId":43974,"corporation":false,"usgs":true,"family":"Wood","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":429900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Longcore, Joyce E.","contributorId":67464,"corporation":false,"usgs":true,"family":"Longcore","given":"Joyce","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":429902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Voytek, Mary A.","contributorId":91943,"corporation":false,"usgs":true,"family":"Voytek","given":"Mary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":429901,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70031084,"text":"70031084 - 2007 - Water table fluctuations under three riparian land covers, Iowa (USA)","interactions":[],"lastModifiedDate":"2012-03-12T17:21:00","indexId":"70031084","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Water table fluctuations under three riparian land covers, Iowa (USA)","docAbstract":"Water table depth is known to play an important role in nitrogen cycling in riparian zones, but little detailed monitoring of water table fluctuations has been reported. In this study, results of high-resolution water table monitoring under three common riparian land covers (forest, cool season grass, corn) were analysed to gain a better understanding of the relation of vegetation cover to water table depth. Three riparian wells located at the Neal Smith National Wildlife Refuge in Jasper County, Iowa, were instrumented with data loggers to record hourly water table behaviour from July to December 2004. Water table depth under the forest showed a diurnal pattern of rising and falling water levels, whereas the grass and corn exhibited a stepped pattern of greater drawdown during the day and less drainage at night. Clear daytime and night-time water table signals were related to daily plant water demands and lateral groundwater flow. Using two estimates of specific yield, hourly and daily ET rates were estimated to be higher under the forest cover than the grass and corn, with peak ET rates in July ranging from 5.02 to 6.32 mm day-1 for forest and from 1.81 to 4.13 mm day-1 for corn and grass. Following plant senescence in October, water table declines were associated with lateral flow to Walnut Creek. The results from this study suggest that consideration should be given to monitoring water table behaviour more frequently to capture daily and seasonal patterns related to riparian vegetation type. Copyright ?? 2007 John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/hyp.6393","issn":"08856087","usgsCitation":"Schilling, K.E., 2007, Water table fluctuations under three riparian land covers, Iowa (USA): Hydrological Processes, v. 21, no. 18, p. 2415-2424, https://doi.org/10.1002/hyp.6393.","startPage":"2415","endPage":"2424","numberOfPages":"10","costCenters":[],"links":[{"id":239010,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211674,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.6393"}],"volume":"21","issue":"18","noUsgsAuthors":false,"publicationDate":"2007-01-30","publicationStatus":"PW","scienceBaseUri":"505bcc8ce4b08c986b32dbdc","contributors":{"authors":[{"text":"Schilling, K. E.","contributorId":61982,"corporation":false,"usgs":true,"family":"Schilling","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":429954,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70031085,"text":"70031085 - 2007 - Revisiting the cape cod bacteria injection experiment using a stochastic modeling approach","interactions":[],"lastModifiedDate":"2018-10-17T11:32:08","indexId":"70031085","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Revisiting the cape cod bacteria injection experiment using a stochastic modeling approach","docAbstract":"Bromide and resting-cell bacteria tracer tests conducted in a sandy aquifer at the U.S. Geological Survey Cape Cod site in 1987 were reinterpreted using a three-dimensional stochastic approach. Bacteria transport was coupled to colloid filtration theory through functional dependence of local-scale colloid transport parameters upon hydraulic conductivity and seepage velocity in a stochastic advection - dispersion/attachment - detachment model. Geostatistical information on the hydraulic conductivity (K) field that was unavailable at the time of the original test was utilized as input. Using geostatistical parameters, a groundwater flow and particle-tracking model of conservative solute transport was calibrated to the bromide-tracer breakthrough data. An optimization routine was employed over 100 realizations to adjust the mean and variance ofthe natural-logarithm of hydraulic conductivity (InK) field to achieve best fit of a simulated, average bromide breakthrough curve. A stochastic particle-tracking model for the bacteria was run without adjustments to the local-scale colloid transport parameters. Good predictions of mean bacteria breakthrough were achieved using several approaches for modeling components of the system. Simulations incorporating the recent Tufenkji and Elimelech (Environ. Sci. Technol. 2004, 38, 529-536) correlation equation for estimating single collector efficiency were compared to those using the older Rajagopalan and Tien (AIChE J. 1976, 22, 523-533) model. Both appeared to work equally well at predicting mean bacteria breakthrough using a constant mean bacteria diameter for this set of field conditions. Simulations using a distribution of bacterial cell diameters available from original field notes yielded a slight improvement in the model and data agreement compared to simulations using an average bacterial diameter. The stochastic approach based on estimates of local-scale parameters for the bacteria-transport process reasonably captured the mean bacteria transport behavior and calculated an envelope of uncertainty that bracketed the observations in most simulation cases.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/es062693a","issn":"0013936X","usgsCitation":"Maxwell, R.M., Welty, C., and Harvey, R.W., 2007, Revisiting the cape cod bacteria injection experiment using a stochastic modeling approach: Environmental Science & Technology, v. 41, no. 15, p. 5548-5558, https://doi.org/10.1021/es062693a.","productDescription":"11 p.","startPage":"5548","endPage":"5558","numberOfPages":"11","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":486982,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Revisiting_the_Cape_Cod_Bacteria_Injection_Experiment_Using_a_Stochastic_Modeling_Approach/2993503","text":"External Repository"},{"id":239045,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211703,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es062693a"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.69427490234375,\n 41.509605687197975\n ],\n [\n -70.69427490234375,\n 42.10943017110108\n ],\n [\n -69.90463256835938,\n 42.10943017110108\n ],\n [\n -69.90463256835938,\n 41.509605687197975\n ],\n [\n -70.69427490234375,\n 41.509605687197975\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"15","noUsgsAuthors":false,"publicationDate":"2007-06-30","publicationStatus":"PW","scienceBaseUri":"505aad2de4b0c8380cd86e4e","contributors":{"authors":[{"text":"Maxwell, Reed M.","contributorId":95373,"corporation":false,"usgs":true,"family":"Maxwell","given":"Reed","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":429956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welty, Claire","contributorId":39416,"corporation":false,"usgs":true,"family":"Welty","given":"Claire","email":"","affiliations":[],"preferred":false,"id":429957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":429955,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70031099,"text":"70031099 - 2007 - Sources of speciated atmospheric mercury at a residential neighborhood impacted by industrial sources","interactions":[],"lastModifiedDate":"2018-10-16T11:24:35","indexId":"70031099","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Sources of speciated atmospheric mercury at a residential neighborhood impacted by industrial sources","docAbstract":"Speciated measurements of atmospheric mercury plumes were obtained at an industrially impacted residential area of East St. Louis, IL. These plumes were found to result in extremely high mercury concentrations at ground level that were composed of a wide distribution of mercury species. Ground level concentrations as high as 235 ng m-3 for elemental mercury (Hg 0) and 38 300 pg m-3 for reactive mercury species (reactive gaseous (RGM) plus particulate (PHg) mercury) were measured. The highest mercury concentrations observed during the study were associated with plumes that contained high concentrations of all mercury species (Hg 0, RGM, and PHg) and originated from a source located southwest of the sampling site. Variations in proportions of Hg0/RGM/PHg among plumes, with Hg0 dominating some plumes and RGM and/or PHg dominating others, were attributed to differences in emissions from different sources. Correlations between mercury plumes and elevated NOx were not observed; however, a correlation between elevated SO2 and mercury plumes was observed during some but not all plume events. Despite the presence of six coal-fired power plants within 60 km of the study site, wind direction data along with Hg/SO2 and Hg/NOx ratios suggest that high-concentration mercury plumes impacting the St. Louis-Midwest Particle Matter Supersite are attributable to local point sources within 5 km of the site.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1021/es0700348","issn":"0013936X","usgsCitation":"Manolopoulos, H., Snyder, D., Schauer, J.J., Hill, J., Turner, J., Olson, M.L., and Krabbenhoft, D.P., 2007, Sources of speciated atmospheric mercury at a residential neighborhood impacted by industrial sources: Environmental Science & Technology, v. 41, no. 16, p. 5626-5633, https://doi.org/10.1021/es0700348.","productDescription":"8 p.","startPage":"5626","endPage":"5633","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":211427,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es0700348"},{"id":238713,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","city":"St. Louis","otherGeospatial":"St. Louis-Midwest Particle Matter Supersite","volume":"41","issue":"16","noUsgsAuthors":false,"publicationDate":"2007-07-11","publicationStatus":"PW","scienceBaseUri":"505b9391e4b08c986b31a576","contributors":{"authors":[{"text":"Manolopoulos, H.","contributorId":74573,"corporation":false,"usgs":true,"family":"Manolopoulos","given":"H.","email":"","affiliations":[],"preferred":false,"id":430025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snyder, D.C.","contributorId":56853,"corporation":false,"usgs":true,"family":"Snyder","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":430024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schauer, James J","contributorId":200131,"corporation":false,"usgs":false,"family":"Schauer","given":"James","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":430029,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, J.S.","contributorId":88553,"corporation":false,"usgs":true,"family":"Hill","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":430026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turner, J.R.","contributorId":92487,"corporation":false,"usgs":true,"family":"Turner","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":430028,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olson, Mark L.","contributorId":149743,"corporation":false,"usgs":false,"family":"Olson","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":17808,"text":"University of Illinois, Champaign","active":true,"usgs":false}],"preferred":false,"id":430023,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":430027,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70031134,"text":"70031134 - 2007 - Comparison of 15 evaporation methods applied to a small mountain lake in the northeastern USA","interactions":[],"lastModifiedDate":"2018-10-16T10:12:17","indexId":"70031134","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of 15 evaporation methods applied to a small mountain lake in the northeastern USA","docAbstract":"Few detailed evaporation studies exist for small lakes or reservoirs in mountainous settings. A detailed evaporation study was conducted at Mirror Lake, a 0.15 km2 lake in New Hampshire, northeastern USA, as part of a long-term investigation of lake hydrology. Evaporation was determined using 14 alternate evaporation methods during six open-water seasons and compared with values from the Bowen-ratio energy-budget (BREB) method, considered the standard. Values from the Priestley-Taylor, deBruin-Keijman, and Penman methods compared most favorably with BREB-determined values. Differences from BREB values averaged 0.19, 0.27, and 0.20 mm d-1, respectively, and results were within 20% of BREB values during more than 90% of the 37 monthly comparison periods. All three methods require measurement of net radiation, air temperature, change in heat stored in the lake, and vapor pressure, making them relatively data intensive. Several of the methods had substantial bias when compared with BREB values and were subsequently modified to eliminate bias. Methods that rely only on measurement of air temperature, or air temperature and solar radiation, were relatively cost-effective options for measuring evaporation at this small New England lake, outperforming some methods that require measurement of a greater number of variables. It is likely that the atmosphere above Mirror Lake was affected by occasional formation of separation eddies on the lee side of nearby high terrain, although those influences do not appear to be significant to measured evaporation from the lake when averaged over monthly periods.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2007.03.018","issn":"00221694","usgsCitation":"Rosenberry, D.O., Winter, T.C., Buso, D., and Likens, G., 2007, Comparison of 15 evaporation methods applied to a small mountain lake in the northeastern USA: Journal of Hydrology, v. 340, no. 3-4, p. 149-166, https://doi.org/10.1016/j.jhydrol.2007.03.018.","productDescription":"18 p.","startPage":"149","endPage":"166","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":211430,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2007.03.018"},{"id":238716,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire","otherGeospatial":"Mirror Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.27243041992188,\n 43.628620426937886\n ],\n [\n -71.27225875854492,\n 43.63035994642008\n ],\n [\n -71.27157211303711,\n 43.631229687282\n ],\n [\n -71.27037048339842,\n 43.631602429512775\n ],\n [\n -71.26934051513672,\n 43.631602429512775\n ],\n [\n -71.2664222717285,\n 43.63110543935801\n ],\n [\n -71.26453399658203,\n 43.629738695241485\n ],\n [\n -71.26350402832031,\n 43.628620426937886\n ],\n [\n -71.26144409179688,\n 43.628620426937886\n ],\n [\n -71.25904083251953,\n 43.628620426937886\n ],\n [\n -71.2576675415039,\n 43.62638382791399\n ],\n [\n -71.25749588012695,\n 43.62377435720275\n ],\n [\n -71.25646591186523,\n 43.622034647131954\n ],\n [\n -71.25423431396483,\n 43.62079196625865\n ],\n [\n -71.2544059753418,\n 43.618182252818265\n ],\n [\n -71.2576675415039,\n 43.617685151701174\n ],\n [\n -71.25972747802734,\n 43.617436599601476\n ],\n [\n -71.25938415527344,\n 43.61519958447072\n ],\n [\n -71.26144409179688,\n 43.61507530341222\n ],\n [\n -71.26298904418945,\n 43.6159452654277\n ],\n [\n -71.26487731933594,\n 43.61669093713797\n ],\n [\n -71.26676559448242,\n 43.618057977924266\n ],\n [\n -71.26676559448242,\n 43.619673531511516\n ],\n [\n -71.26728057861328,\n 43.62128904169025\n ],\n [\n -71.2679672241211,\n 43.622034647131954\n ],\n [\n -71.26882553100586,\n 43.62265597793652\n ],\n [\n -71.27243041992188,\n 43.62265597793652\n ],\n [\n -71.27500534057617,\n 43.62340156642572\n ],\n [\n -71.2767219543457,\n 43.62377435720275\n ],\n [\n -71.2767219543457,\n 43.62675660019726\n ],\n [\n -71.27552032470703,\n 43.62787490317682\n ],\n [\n -71.27449035644531,\n 43.62799915777916\n ],\n [\n -71.27243041992188,\n 43.628620426937886\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"340","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f83de4b0c8380cd4cf7c","contributors":{"authors":[{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":430188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winter, Thomas C.","contributorId":84736,"corporation":false,"usgs":true,"family":"Winter","given":"Thomas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":430186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buso, D.C.","contributorId":31392,"corporation":false,"usgs":true,"family":"Buso","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":430187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Likens, G.E.","contributorId":68893,"corporation":false,"usgs":true,"family":"Likens","given":"G.E.","email":"","affiliations":[],"preferred":false,"id":430189,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70031156,"text":"70031156 - 2007 - Methodological considerations regarding the use of inorganic 197Hg(II) radiotracer to assess mercury methylation potential rates in lake sediment","interactions":[],"lastModifiedDate":"2023-07-27T11:17:56.580552","indexId":"70031156","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":845,"text":"Applied Radiation and Isotopes","active":true,"publicationSubtype":{"id":10}},"title":"Methodological considerations regarding the use of inorganic 197Hg(II) radiotracer to assess mercury methylation potential rates in lake sediment","docAbstract":"Methodological considerations on the determination of benthic methyl-mercury (CH3Hg) production potentials were investigated on lake sediment, using 197Hg radiotracer. Three methods to arrest bacterial activity were compared: flash freezing, thermal sterilization, and γ-irradiation. Flash freezing showed similar CH3Hg recoveries as thermal sterilization, which was both 50% higher than the recoveries obtained with γ-ray irradiation. No additional radiolabel was recovered in kill-control samples after an additional 24 or 65 h of incubation, suggesting that all treatments were effective at arresting Hg(II)-methylating bacterial activity, and that the initial recoveries are likely due to non-methylated 197Hg(II) carry-over in the organic extraction and/or [197Hg]CH3Hg produced via abiotic reactions. Two CH3Hg extraction methods from sediment were compared: (a) direct extraction into toluene after sediment leaching with CuSO4 and HCl and (b) the same extraction with an additional back-extraction step to thiosulphate. Similar information was obtained with both methods, but the low efficiency observed and the extra work associated with the back-extraction procedure represent significant disadvantages, even tough the direct extraction involves higher Hg(II) carry over.
The measurement of Cu, Fe, and Zn isotopes in natural samples may provide valuable information about biogeochemical processes in the environment. However, the widespread application of stable Cu, Fe, and Zn isotope chemistry to natural water systems remains limited by our ability to efficiently separate these trace elements from the greater concentrations of matrix elements. In this study, we present a new method for the isolation of Cu, Fe, and Zn from complex aqueous solutions using a single anion-exchange column with hydrochloric acid media. Using this method we are able to quantitatively separate Cu, Fe, and Zn from each other and from matrix elements in a single column elution. Elution of the elements of interest, as well as all other elements, through the anion-exchange column is a function of the speciation of each element in the various concentrations of HCl. We highlight the column chemistry by comparing our observations with published studies that have investigated the speciation of Cu, Fe, and Zn in chloride solutions.
The functionality of the column procedure was tested by measuring Cu, Fe, and Zn isotopes in a variety of stream water samples impacted by acid mine drainage. The accuracy and precision of Zn isotopic measurements was tested by doping Zn-free stream water with the Zn isotopic standard. The reproducibility of the entire column separation process and the overall precision of the isotopic measurements were also evaluated. The isotopic results demonstrate that the Cu, Fe, and Zn column separates from the tested stream waters are of sufficient purity to be analyzed directly using a multicollector inductively coupled plasma mass spectrometer (MC-ICP-MS), and that the measurements are fully-reproducible, accurate, and precise. Although limited in scope, these isotopic measurements reveal significant variations in δ65Cu (− 1.41 to + 0.30‰), δ56Fe (− 0.56 to + 0.34‰), and δ66Zn (0.31 to 0.49‰) among samples collected from different abandoned mines within a single watershed. Hence, Cu, Fe, and Zn isotopic measurements may be a powerful tool for fingerprinting specific metal sources and/or examining biogeochemical reactions within fresh water systems.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2007.04.004","issn":"00092541","usgsCitation":"Borrok, D.M., Wanty, R.B., Ridley, W.I., Wolf, R.E., Lamothe, P.J., and Adams, M., 2007, Separation of copper, iron, and zinc from complex aqueous solutions for isotopic measurement: Chemical Geology, v. 242, no. 3-4, p. 400-414, https://doi.org/10.1016/j.chemgeo.2007.04.004.","productDescription":"15 p.","startPage":"400","endPage":"414","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238546,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211281,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2007.04.004"}],"volume":"242","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8d40e4b08c986b3182fe","contributors":{"authors":[{"text":"Borrok, David M.","contributorId":26056,"corporation":false,"usgs":true,"family":"Borrok","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":430291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":430294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ridley, William I. 0000-0001-6787-558X iridley@usgs.gov","orcid":"https://orcid.org/0000-0001-6787-558X","contributorId":1160,"corporation":false,"usgs":true,"family":"Ridley","given":"William","email":"iridley@usgs.gov","middleInitial":"I.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":430295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolf, Ruth E. rwolf@usgs.gov","contributorId":903,"corporation":false,"usgs":true,"family":"Wolf","given":"Ruth","email":"rwolf@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":430293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lamothe, Paul J. plamothe@usgs.gov","contributorId":1298,"corporation":false,"usgs":true,"family":"Lamothe","given":"Paul","email":"plamothe@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":430292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, M.","contributorId":81176,"corporation":false,"usgs":true,"family":"Adams","given":"M.","email":"","affiliations":[],"preferred":false,"id":430296,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}