{"pageNumber":"559","pageRowStart":"13950","pageSize":"25","recordCount":68919,"records":[{"id":70103392,"text":"70103392 - 2014 - Passive acoustic monitoring to detect spawning in large-bodied catostomids","interactions":[],"lastModifiedDate":"2014-05-16T16:32:49","indexId":"70103392","displayToPublicDate":"2014-05-02T15:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Passive acoustic monitoring to detect spawning in large-bodied catostomids","docAbstract":"Documenting timing, locations, and intensity of spawning can provide valuable information for conservation and management of imperiled fishes. However, deep, turbid or turbulent water, or occurrence of spawning at night, can severely limit direct observations. We have developed and tested the use of passive acoustics to detect distinctive acoustic signatures associated with spawning events of two large-bodied catostomid species (River Redhorse Moxostoma carinatum and Robust Redhorse Moxostoma robustum) in river systems in north Georgia. We deployed a hydrophone with a recording unit at four different locations on four different dates when we could both record and observe spawning activity. Recordings captured 494 spawning events that we acoustically characterized using dominant frequency, 95% frequency, relative power, and duration. We similarly characterized 46 randomly selected ambient river noises. Dominant frequency did not differ between redhorse species and ranged from 172.3 to 14,987.1 Hz. Duration of spawning events ranged from 0.65 to 11.07 s, River Redhorse having longer durations than Robust Redhorse. Observed spawning events had significantly higher dominant and 95% frequencies than ambient river noises. We additionally tested software designed to automate acoustic detection. The automated detection configurations correctly identified 80–82% of known spawning events, and falsely indentified spawns 6–7% of the time when none occurred. These rates were combined over all recordings; rates were more variable among individual recordings. Longer spawning events were more likely to be detected. Combined with sufficient visual observations to ascertain species identities and to estimate detection error rates, passive acoustic recording provides a useful tool to study spawning frequency of large-bodied fishes that displace gravel during egg deposition, including several species of imperiled catostomids.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2014.880737","usgsCitation":"Straight, C.A., Freeman, B.J., and Freeman, M., 2014, Passive acoustic monitoring to detect spawning in large-bodied catostomids: Transactions of the American Fisheries Society, v. 143, no. 3, p. 595-605, https://doi.org/10.1080/00028487.2014.880737.","productDescription":"11 p.","startPage":"595","endPage":"605","numberOfPages":"11","ipdsId":"IP-052593","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":286853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286838,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2014.880737"}],"country":"United States","state":"Georgia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.6052,33.0103 ], [ -85.6052,35.4136 ], [ -81.5769,35.4136 ], [ -81.5769,33.0103 ], [ -85.6052,33.0103 ] ] ] } } ] }","volume":"143","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-04-14","publicationStatus":"PW","scienceBaseUri":"53659161e4b05b5c4c6db103","contributors":{"authors":[{"text":"Straight, Carrie A.","contributorId":31247,"corporation":false,"usgs":false,"family":"Straight","given":"Carrie","email":"","middleInitial":"A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":493286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Byron J.","contributorId":49782,"corporation":false,"usgs":false,"family":"Freeman","given":"Byron","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":493287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":493285,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70171516,"text":"70171516 - 2014 - A unified assessment of hydrological and biogeochemical responses in research watersheds in Eastern Puerto Rico using runoff-concentration relations","interactions":[],"lastModifiedDate":"2016-06-02T14:19:02","indexId":"70171516","displayToPublicDate":"2014-05-01T15:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"A unified assessment of hydrological and biogeochemical responses in research watersheds in Eastern Puerto Rico using runoff-concentration relations","docAbstract":"

An examination of the relation between runoff rate, R, and concentration, C, of twelve major constituents in four small watersheds in eastern Puerto Rico demonstrates a consistent pattern of responses. For solutes that are not substantially bioactive (alkalinity, silica, calcium, magnesium, sodium, and chloride), the log(R)–log(C) relation is almost linear and can be described as a weighted average of two sources, bedrock weathering and atmospheric deposition. The slope of the relation for each solute depends on the respective source contributions to the total river load. If a solute were strictly derived from bedrock weathering, the slope would be −0.3 to −0.4, whereas if strictly derived from atmospheric deposition, the slope would be approximately −0.1. The bioactive constituents (dissolved organic carbon, nitrate, sulfate, and potassium), which are recycled by plants and concentrated in shallow soil, demonstrate nearly flat or downward-arched log(R)–log(C) relations. The peak of the arch represents a transition from dominantly soil-matrix flow to near-surface macropore flow, and finally to overland flow. At highest observed R (80 to >90 mm/h), essentially all reactive surfaces have become wetted, and the input rate of C becomes independent of R (log(R)–log(C) slope of –1). The highest R are tenfold greater than any previous study. Slight clockwise hysteresis for many solutes in the rivers with riparian zones or substantial hyporheic flows indicates that these settings may act as mixing end-members. Particulate constituents (suspended sediment and particulate organic carbon) show slight clockwise hysteresis, indicating mobilization of stored sediment during rising stage.

","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10498-013-9216-5","usgsCitation":"Stallard, R.F., and Murphy, S.F., 2014, A unified assessment of hydrological and biogeochemical responses in research watersheds in Eastern Puerto Rico using runoff-concentration relations: Aquatic Geochemistry, v. 20, no. 2, p. 115-139, https://doi.org/10.1007/s10498-013-9216-5.","productDescription":"25 p.","startPage":"115","endPage":"139","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044740","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":322112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-06","publicationStatus":"PW","scienceBaseUri":"575158ace4b053f0edd03c19","contributors":{"authors":[{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","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":true,"id":631561,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70108159,"text":"70108159 - 2014 - Uranium and radon in private bedrock well water in Maine: geospatial analysis at two scales","interactions":[],"lastModifiedDate":"2014-06-09T15:11:37","indexId":"70108159","displayToPublicDate":"2014-05-01T14:57:23","publicationYear":"2014","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":"Uranium and radon in private bedrock well water in Maine: geospatial analysis at two scales","docAbstract":"In greater Augusta of central Maine, 53 out of 1093 (4.8%) private bedrock well water samples from 1534 km2 contained [U] >30 μg/L, the U.S. Environmental Protection Agency’s (EPA) Maximum Contaminant Level (MCL) for drinking water; and 226 out of 786 (29%) samples from 1135 km2 showed [Rn] >4,000 pCi/L (148 Bq/L), the U.S. EPA’s Alternative MCL. Groundwater pH, calcite dissolution and redox condition are factors controlling the distribution of groundwater U but not Rn due to their divergent chemical and hydrological properties. Groundwater U is associated with incompatible elements (S, As, Mo, F, and Cs) in water samples within granitic intrusions. Elevated [U] and [Rn] are located within 5–10 km distance of granitic intrusions but do not show correlations with metamorphism at intermediate scales (100−101 km). This spatial association is confirmed by a high-density sampling (n = 331, 5–40 samples per km2) at local scales (≤10–1 km) and the statewide sampling (n = 5857, 1 sample per 16 km2) at regional scales (102–103 km). Wells located within 5 km of granitic intrusions are at risk of containing high levels of [U] and [Rn]. Approximately 48 800–63 900 and 324 000 people in Maine are estimated at risk of exposure to U (>30 μg/L) and Rn (>4000 pCi/L) in well water, respectively.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/es405020k","usgsCitation":"Yang, Q., Smitherman, P., Hess, C., Culbertson, C.W., Marvinney, R., and Zheng, Y., 2014, Uranium and radon in private bedrock well water in Maine: geospatial analysis at two scales: Environmental Science & Technology, v. 48, no. 8, p. 4298-4306, https://doi.org/10.1021/es405020k.","productDescription":"9 p.","startPage":"4298","endPage":"4306","numberOfPages":"9","ipdsId":"IP-052124","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":473008,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es405020k","text":"Publisher Index Page"},{"id":288184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288183,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es405020k"}],"country":"United States","state":"Maine","city":"Augusta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.08,42.97 ], [ -71.08,47.46 ], [ -66.95,47.46 ], [ -66.95,42.97 ], [ -71.08,42.97 ] ] ] } } ] }","volume":"48","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-03-28","publicationStatus":"PW","scienceBaseUri":"5396d776e4b0f7580bc0a92a","contributors":{"authors":[{"text":"Yang, Qiang","contributorId":27362,"corporation":false,"usgs":true,"family":"Yang","given":"Qiang","affiliations":[],"preferred":false,"id":493972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smitherman, Paul","contributorId":56976,"corporation":false,"usgs":true,"family":"Smitherman","given":"Paul","email":"","affiliations":[],"preferred":false,"id":493974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hess, C.T.","contributorId":39556,"corporation":false,"usgs":true,"family":"Hess","given":"C.T.","email":"","affiliations":[],"preferred":false,"id":493973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Culbertson, Charles W. cculbert@usgs.gov","contributorId":1607,"corporation":false,"usgs":true,"family":"Culbertson","given":"Charles","email":"cculbert@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493970,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marvinney, Robert G.","contributorId":23070,"corporation":false,"usgs":true,"family":"Marvinney","given":"Robert G.","affiliations":[],"preferred":false,"id":493971,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zheng, Yan","contributorId":99046,"corporation":false,"usgs":false,"family":"Zheng","given":"Yan","email":"","affiliations":[{"id":7255,"text":"City University of New York, Queens College","active":true,"usgs":false}],"preferred":false,"id":493975,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70049028,"text":"fs20133108 - 2014 - Estimating magnitude and frequency of floods using the PeakFQ 7.0 program","interactions":[],"lastModifiedDate":"2014-05-01T14:33:56","indexId":"fs20133108","displayToPublicDate":"2014-05-01T14:14:26","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3108","title":"Estimating magnitude and frequency of floods using the PeakFQ 7.0 program","docAbstract":"

Flood-frequency analysis provides information about the magnitude and frequency of flood discharges based on records of annual maximum instantaneous peak discharges collected at streamgages. The information is essential for defining flood-hazard areas, for managing floodplains, and for designing bridges, culverts, dams, levees, and other flood-control structures.

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Bulletin 17B (B17B) of the Interagency Advisory Committee on Water Data (IACWD; 1982) codifies the standard methodology for conducting flood-frequency studies in the United States. B17B specifies that annual peak-flow data are to be fit to a log-Pearson Type III distribution. Specific methods are also prescribed for improving skew estimates using regional skew information, tests for high and low outliers, adjustments for low outliers and zero flows, and procedures for incorporating historical flood information.

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The authors of B17B identified various needs for methodological improvement and recommended additional study. In response to these needs, the Advisory Committee on Water Information (ACWI, successor to IACWD; http://acwi.gov/, Subcommittee on Hydrology (SOH), Hydrologic Frequency Analysis Work Group (HFAWG), has recommended modest changes to B17B. These changes include adoption of a generalized method-of-moments estimator denoted the Expected Moments Algorithm (EMA) (Cohn and others, 1997) and a generalized version of the Grubbs-Beck test for low outliers (Cohn and others, 2013). The SOH requested that the USGS implement these changes in a user-friendly, publicly accessible program.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133108","usgsCitation":"Veilleux, A.G., Cohn, T., Flynn, K.M., Mason, and Hummel, P.R., 2014, Estimating magnitude and frequency of floods using the PeakFQ 7.0 program: U.S. Geological Survey Fact Sheet 2013-3108, 2 p., https://doi.org/10.3133/fs20133108.","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-049306","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":286834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133108.jpg"},{"id":286832,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3108/"},{"id":286833,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3108/pdf/fs2013-3108.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53635ecfe4b08180b01424fa","contributors":{"authors":[{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":486049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohn, Timothy A. tacohn@usgs.gov","contributorId":2927,"corporation":false,"usgs":true,"family":"Cohn","given":"Timothy A.","email":"tacohn@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":486048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flynn, Kathleen M.","contributorId":43756,"corporation":false,"usgs":true,"family":"Flynn","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mason, Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":2090,"corporation":false,"usgs":true,"family":"Mason","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":486047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hummel, Paul R.","contributorId":58728,"corporation":false,"usgs":true,"family":"Hummel","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":486051,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70048513,"text":"70048513 - 2014 - Effect of sulfate and carbonate minerals on particle-size distributions in arid soils","interactions":[],"lastModifiedDate":"2014-06-19T09:41:10","indexId":"70048513","displayToPublicDate":"2014-05-01T14:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3420,"text":"Soil Science Society of America Journal","active":true,"publicationSubtype":{"id":10}},"title":"Effect of sulfate and carbonate minerals on particle-size distributions in arid soils","docAbstract":"Arid soils pose unique problems during measurement and interpretation of particle-size distributions (PSDs) because they often contain high concentrations of water-soluble salts. This study investigates the effects of sulfate and carbonate minerals on grain-size analysis by comparing analyses in water, in which the minerals dissolve, and isopropanol (IPA), in which they do not. The presence of gypsum, in particular, substantially affects particle-size analysis once the concentration of gypsum in the sample exceeds the mineral’s solubility threshold. For smaller concentrations particle-size results are unaffected. This is because at concentrations above the solubility threshold fine particles cement together or bind to coarser particles or aggregates already present in the sample, or soluble mineral coatings enlarge grains. Formation of discrete crystallites exacerbates the problem. When soluble minerals are dissolved the original, insoluble grains will become partly or entirely liberated. Thus, removing soluble minerals will result in an increase in measured fine particles. Distortion of particle-size analysis is larger for sulfate minerals than for carbonate minerals because of the much higher solubility in water of the former. When possible, arid soils should be analyzed using a liquid in which the mineral grains do not dissolve, such as IPA, because the results will more accurately reflect the PSD under most arid soil field conditions. This is especially important when interpreting soil and environmental processes affected by particle size.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Soil Science Society of America Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Soil Science Society of America","publisherLocation":"Madison, WI","doi":"10.2136/sssaj2013.11.0499","usgsCitation":"Goossens, D., Buck, B.J., Teng, Y., Robins, C., and Goldstein, H., 2014, Effect of sulfate and carbonate minerals on particle-size distributions in arid soils: Soil Science Society of America Journal, v. 78, no. 3, p. 881-893, https://doi.org/10.2136/sssaj2013.11.0499.","productDescription":"13 p.","startPage":"881","endPage":"893","numberOfPages":"13","ipdsId":"IP-036060","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":287953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287952,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2136/sssaj2013.11.0499"}],"volume":"78","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-06-10","publicationStatus":"PW","scienceBaseUri":"53ae7695e4b0abf75cf2bfb2","contributors":{"authors":[{"text":"Goossens, Dirk","contributorId":23419,"corporation":false,"usgs":true,"family":"Goossens","given":"Dirk","email":"","affiliations":[],"preferred":false,"id":484900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buck, Brenda J.","contributorId":85864,"corporation":false,"usgs":true,"family":"Buck","given":"Brenda","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teng, Yuazxin","contributorId":107615,"corporation":false,"usgs":true,"family":"Teng","given":"Yuazxin","email":"","affiliations":[],"preferred":false,"id":484903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robins, Colin","contributorId":12369,"corporation":false,"usgs":true,"family":"Robins","given":"Colin","email":"","affiliations":[],"preferred":false,"id":484899,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldstein, Harland L.","contributorId":32999,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland L.","affiliations":[],"preferred":false,"id":484901,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70126738,"text":"70126738 - 2014 - Response to heavy, non-floating oil spilled in a Great Lakes river environment: a multiple-lines-of-evidence approach for submerged oil assessment and recovery","interactions":[],"lastModifiedDate":"2017-06-30T13:53:36","indexId":"70126738","displayToPublicDate":"2014-05-01T14:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Response to heavy, non-floating oil spilled in a Great Lakes river environment: a multiple-lines-of-evidence approach for submerged oil assessment and recovery","docAbstract":"

The Enbridge Line 6B pipeline release of diluted bitumen into the Kalamazoo River downstream of Marshall, MI in July 2010 is one of the largest freshwater oil spills in North American history. The unprecedented scale of impact and massive quantity of oil released required the development and implementation of new approaches for detection and recovery. At the onset of cleanup, conventional recovery techniques were employed for the initially floating oil and were successful. However, volatilization of the lighter diluent, along with mixing of the oil with sediment during flooded, turbulent river conditions caused the oil to sink and collect in natural deposition areas in the river. For more than three years after the spill, recovery of submerged oil has remained the predominant operational focus of the response.

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The recovery complexities for submerged oil mixed with sediment in depositional areas and long-term oil sheening along approximately 38 miles of the Kalamazoo River led to the development of a multiple-lines-of-evidence approach comprising six major components: geomorphic mapping, field assessments of submerged oil (poling), systematic tracking and mapping of oil sheen, hydrodynamic and sediment transport modeling, forensic oil chemistry, and net environmental benefit analysis. The Federal On-Scene Coordinator (FOSC) considered this information in determining the appropriate course of action for each impacted segment of the river.

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\n

New sources of heavy crude oils like diluted bitumen and increasing transportation of those oils require changes in the way emergency personnel respond to oil spills in the Great Lakes and other freshwater ecosystems. Strategies to recover heavy oils must consider that the oils may suspend or sink in the water column, mix with fine-grained sediment, and accumulate in depositional areas. Early understanding of the potential fate and behavior of diluted bitumen spills when combined with timely, strong conventional recovery methods can significantly influence response success.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"International Oil Spill Conference Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Oil Spill Conference","publisherLocation":"Washington D.C.","doi":"10.7901/2169-3358-2014.1.434","usgsCitation":"Dollhopf, R.H., Fitzpatrick, F.A., Kimble, J.W., Capone, D.M., Graan, T.P., Zelt, R.B., and Johnson, R., 2014, Response to heavy, non-floating oil spilled in a Great Lakes river environment: a multiple-lines-of-evidence approach for submerged oil assessment and recovery, in International Oil Spill Conference Proceedings, v. 2014, no. 1, p. 434-448, https://doi.org/10.7901/2169-3358-2014.1.434.","productDescription":"15 p.","startPage":"434","endPage":"448","numberOfPages":"15","ipdsId":"IP-053313","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":294549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294548,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.7901/2169-3358-2014.1.434"}],"country":"United States","state":"Michigan","otherGeospatial":"Kalamazoo River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.663515,42.215564 ], [ -85.663515,42.406311 ], [ -84.915548,42.406311 ], [ -84.915548,42.215564 ], [ -85.663515,42.215564 ] ] ] } } ] }","volume":"2014","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252ec9e4b0e641df8a7110","contributors":{"authors":[{"text":"Dollhopf, Ralph H.","contributorId":31323,"corporation":false,"usgs":true,"family":"Dollhopf","given":"Ralph","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":502146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzpatrick, Faith A. fafitzpa@usgs.gov","contributorId":1182,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","email":"fafitzpa@usgs.gov","middleInitial":"A.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":502145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kimble, Jeffrey W.","contributorId":58961,"corporation":false,"usgs":true,"family":"Kimble","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":502147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Capone, Daniel M.","contributorId":64167,"corporation":false,"usgs":true,"family":"Capone","given":"Daniel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":502148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graan, Thomas P.","contributorId":97021,"corporation":false,"usgs":true,"family":"Graan","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":502149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zelt, Ronald B. 0000-0001-9024-855X rbzelt@usgs.gov","orcid":"https://orcid.org/0000-0001-9024-855X","contributorId":300,"corporation":false,"usgs":true,"family":"Zelt","given":"Ronald","email":"rbzelt@usgs.gov","middleInitial":"B.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502144,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Rex","contributorId":104374,"corporation":false,"usgs":true,"family":"Johnson","given":"Rex","affiliations":[],"preferred":false,"id":502150,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70115118,"text":"70115118 - 2014 - Late Paleozoic fusulinids from Sonora, Mexcio: importance for interpretation of depositional settings, biogeography, and paleotectonics","interactions":[],"lastModifiedDate":"2018-03-29T09:58:06","indexId":"70115118","displayToPublicDate":"2014-05-01T13:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3289,"text":"Revista Mexicana de Ciencias Geológicas","onlineIssn":"2007-2902","printIssn":"1026-8774","active":true,"publicationSubtype":{"id":10}},"title":"Late Paleozoic fusulinids from Sonora, Mexcio: importance for interpretation of depositional settings, biogeography, and paleotectonics","docAbstract":"

Three sets of fusulinid faunas in Sonora, Mexico, discussed herein, record different depositional and paleotectonic settings along the southwestern margin of Laurentia (North America) during Pennsylvanian and Permian time. The settings include: offshelf continental rise and ocean basin (Rancho Nuevo Formation in the Sonora allochthon), shallow continental shelf (La Cueva Limestone), and foredeep basin on the continental shelf (Mina México Formation). Our data represent 41 fusulinid collections from 23 localities with each locality providing one to eight collections.

Reworked fusulinids in the Middle and Upper Pennsylvanian part of the Rancho Nuevo Formation range in age from Desmoinesian into Virgilian (Moscovian-Gzhelian). Indigenous Permian fusulinids in the La Cueva Limestone range in age from middle or late Wolfcampian to middle Leonardian (late Sakmarian-late Artinskian), and reworked Permian fusulinids in the Mina México Formation range in age from early to middle Leonardian (middle-late Artinskian). Conodonts of Guadalupian age occur in some turbidites in the Mina México Formation, indicating the youngest foredeep deposit is at least Middle Permian in age. Our fusulinid collections indicate a hiatus of at least 10 m.y. between the youngest Pennsylvanian (Virgilian) rocks in the Sonora allochthon and the oldest Permian (middle Wolfcampian) rocks in the region.

Most fusulinid faunas in Sonora show affinities to those of West Texas, New Mexico, and Arizona; however, some genera and species are similar to those in southeastern California. As most species are similar to those east of the southwest-trending Transcontinental arch in New Mexico and Arizona, this arch may have formed a barrier preventing large-scale migration and mixing of faunas between the southern shelf of Laurentia in northwestern Mexico and the western shelf in the southwestern United States.

The Sonora allochthon, consisting of pre-Permian (Lower Ordovician to Upper Pennsylvanian) deep-water continental-rise and ocean-basin rocks, was thrust northward 50–200 km over Permian and older shallow-water carbonate-shelf rocks and Permian deep-water foredeep rocks of southern Laurentia. As Triassic rocks unconformably overlie the Sonora allochthon, we conclude that terminal movement of the allochthon was in Late Permian time.

","language":"English","publisher":"National Autonomous University of Mexico, Sociedad Geológica Mexicana, Instituto Nacional de Geoquímica, Sociedad Mexicana de Paleontología","usgsCitation":"Stevens, C., Poole, F.G., and Amaya-Martinez, R., 2014, Late Paleozoic fusulinids from Sonora, Mexcio: importance for interpretation of depositional settings, biogeography, and paleotectonics: Revista Mexicana de Ciencias Geológicas, v. 31, no. 1, p. 14-27.","productDescription":"14 p.","startPage":"14","endPage":"27","ipdsId":"IP-044690","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":289327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289326,"type":{"id":15,"text":"Index Page"},"url":"https://rmcg.geociencias.unam.mx/revista/index.html"}],"country":"Mexico","state":"Sonora","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.7262,27.402 ], [ -112.7262,30.4937 ], [ -108.1985,30.4937 ], [ -108.1985,27.402 ], [ -112.7262,27.402 ] ] ] } } ] }","volume":"31","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b3d869e4b07c5f79a7f342","contributors":{"authors":[{"text":"Stevens, Calvin H.","contributorId":59848,"corporation":false,"usgs":true,"family":"Stevens","given":"Calvin H.","affiliations":[],"preferred":false,"id":495557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poole, Forrest G. 0000-0001-8487-0799 bpoole@usgs.gov","orcid":"https://orcid.org/0000-0001-8487-0799","contributorId":1543,"corporation":false,"usgs":true,"family":"Poole","given":"Forrest","email":"bpoole@usgs.gov","middleInitial":"G.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":495556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amaya-Martinez, Ricardo","contributorId":108405,"corporation":false,"usgs":true,"family":"Amaya-Martinez","given":"Ricardo","email":"","affiliations":[],"preferred":false,"id":495558,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70150435,"text":"70150435 - 2014 - Effects of smallmouth buffalo, Ictiobus bubalus biomass on water transparency, nutrients, and productivity in shallow experimental ponds","interactions":[],"lastModifiedDate":"2015-06-26T11:34:32","indexId":"70150435","displayToPublicDate":"2014-05-01T12:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1103,"text":"Bulletin of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of smallmouth buffalo, Ictiobus bubalus biomass on water transparency, nutrients, and productivity in shallow experimental ponds","docAbstract":"

The smallmouth buffalo Ictiobus bubalus is a native benthivore to floodplain lakes in the Yazoo River Basin, USA. Based on evidence from other benthivorous fish studies we hypothesized high biomasses of I. bubalus contribute to poor water quality conditions. We tested this hypothesis in shallow (< 1.5 m) 0.05 ha earthen ponds at three stocking biomasses over a 10-week period during the summer of 2012. The most notable results from the permutational multivariate analysis of variance suggest I. bubalus at high and moderate biomasses significantly (p < 0.05) enhanced turbidity and suspended solid levels while decreasing Secchi depth. Our results suggest that effects of I. bubalus on water clarity may have considerable ecological implications in natural habitats such as shallow floodplain lakes.

","language":"English","publisher":"Springer-Verlag","publisherLocation":"New York, NY","doi":"10.1007/s00128-014-1231-8","usgsCitation":"Goetz, D.B., Kroger, R., and Miranda, L.E., 2014, Effects of smallmouth buffalo, Ictiobus bubalus biomass on water transparency, nutrients, and productivity in shallow experimental ponds: Bulletin of Environmental Contamination and Toxicology, v. 92, no. 5, p. 503-508, https://doi.org/10.1007/s00128-014-1231-8.","productDescription":"6 p.","startPage":"503","endPage":"508","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054941","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-14","publicationStatus":"PW","scienceBaseUri":"558e77b5e4b0b6d21dd6594e","contributors":{"authors":[{"text":"Goetz, Daniel B.","contributorId":143784,"corporation":false,"usgs":false,"family":"Goetz","given":"Daniel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":557066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroger, Robert","contributorId":143701,"corporation":false,"usgs":false,"family":"Kroger","given":"Robert","email":"","affiliations":[],"preferred":false,"id":557067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556878,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134285,"text":"70134285 - 2014 - Multi-trophic resilience of boreal lake ecosystems to forest fires","interactions":[],"lastModifiedDate":"2020-12-23T15:48:43.593475","indexId":"70134285","displayToPublicDate":"2014-05-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Multi-trophic resilience of boreal lake ecosystems to forest fires","docAbstract":"

Fires are the major natural disturbance in the boreal forest, and their frequency and intensity will likely increase as the climate warms. Terrestrial nutrients released by fires may be transported to boreal lakes, stimulating increased primary productivity, which may radiate through multiple trophic levels. Using a before‐after‐control‐impact (BACI) design, with pre‐ and postfire data from burned and unburned areas, we examined effects of a natural fire across several trophic levels of boreal lakes, from nutrient and chlorophyll levels, to macroinvertebrates, to waterbirds. Concentrations of total nitrogen and phosphorus were not affected by the fire. Chlorophyll a levels were also unaffected, likely reflecting the stable nutrient concentrations. For aquatic invertebrates, we found that densities of three functional feeding groups did not respond to the fire (filterers, gatherers, scrapers), while two groups increased (shredders, predators). Amphipods accounted for 98% of shredder numbers, and we hypothesize that fire‐mediated habitat changes may have favored their generalist feeding and habitat ecology. This increase in amphipods may, in turn, have driven increased predator densities, as amphipods were the most numerous invertebrate in our lakes and are commonly taken as prey. Finally, abundance of waterbird young, which feed primarily on aquatic invertebrates, was not affected by the fire. Overall, ecosystems of our study lakes were largely resilient to forest fires, likely due to their high initial nutrient concentrations and small catchment sizes. Moreover, this resilience spanned multiple trophic levels, a significant result for ecologically similar boreal regions, especially given the high potential for increased fires with future climate change.

","language":"English","publisher":"Brooklyn Botanical Garden","publisherLocation":"Brooklyn, NY","doi":"10.1890/13-1170.1","usgsCitation":"Lewis, T., Lindberg, M., Schmutz, J.A., and Bertram, M., 2014, Multi-trophic resilience of boreal lake ecosystems to forest fires: Ecology, v. 95, no. 5, p. 1253-1263, https://doi.org/10.1890/13-1170.1.","productDescription":"11 p.","startPage":"1253","endPage":"1263","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051760","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":473011,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/13-1170.1","text":"Publisher Index Page"},{"id":296376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -149.337158203125,\n 65.96885156164706\n ],\n [\n -145.8984375,\n 65.96885156164706\n ],\n [\n -145.8984375,\n 67.35255537048229\n ],\n [\n -149.337158203125,\n 67.35255537048229\n ],\n [\n -149.337158203125,\n 65.96885156164706\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"95","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ee2cde4b09357f05f8a63","contributors":{"authors":[{"text":"Lewis, Tyler L.","contributorId":22904,"corporation":false,"usgs":false,"family":"Lewis","given":"Tyler L.","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":526086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindberg, Mark S.","contributorId":89466,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark S.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":526087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":525788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bertram, M.R.","contributorId":77387,"corporation":false,"usgs":true,"family":"Bertram","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":526088,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70136301,"text":"70136301 - 2014 - Identifying stakeholder-relevant climate change impacts: a case study in the Yakima River Basin, Washington, USA","interactions":[],"lastModifiedDate":"2014-12-30T10:49:40","indexId":"70136301","displayToPublicDate":"2014-05-01T11:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Identifying stakeholder-relevant climate change impacts: a case study in the Yakima River Basin, Washington, USA","docAbstract":"

Designing climate-related research so that study results will be useful to natural resource managers is a unique challenge. While decision makers increasingly recognize the need to consider climate change in their resource management plans, and climate scientists recognize the importance of providing locally-relevant climate data and projections, there often remains a gap between management needs and the information that is available or is being collected. We used decision analysis concepts to bring decision-maker and stakeholder perspectives into the applied research planning process. In 2009 we initiated a series of studies on the impacts of climate change in the Yakima River Basin (YRB) with a four-day stakeholder workshop, bringing together managers, stakeholders, and scientists to develop an integrated conceptual model of climate change and climate change impacts in the YRB. The conceptual model development highlighted areas of uncertainty that limit the understanding of the potential impacts of climate change and decision alternatives by those who will be most directly affected by those changes, and pointed to areas where additional study and engagement of stakeholders would be beneficial. The workshop and resulting conceptual model highlighted the importance of numerous different outcomes to stakeholders in the basin, including social and economic outcomes that go beyond the physical and biological outcomes typically reported in climate impacts studies. Subsequent studies addressed several of those areas of uncertainty, including changes in water temperatures, habitat quality, and bioenergetics of salmonid populations.

","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10584-013-0806-4","usgsCitation":"Jenni, K., Graves, D., Hardiman, J.M., Hatten, J.R., Mastin, M.C., Mesa, M.G., Montag, J., Nieman, T., Voss, F.D., and Maule, A.G., 2014, Identifying stakeholder-relevant climate change impacts: a case study in the Yakima River Basin, Washington, USA: Climatic Change, v. 124, no. 1-2, p. 371-384, https://doi.org/10.1007/s10584-013-0806-4.","productDescription":"14 p.","startPage":"371","endPage":"384","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037460","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473015,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10.1007/s10584-013-0806-4","text":"External Repository"},{"id":296924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296907,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs10584-013-0806-4"}],"country":"United States","state":"Washington","otherGeospatial":"Yakima River Basin","volume":"124","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2013-06-20","publicationStatus":"PW","scienceBaseUri":"54dd2bcee4b08de9379b34e6","contributors":{"authors":[{"text":"Jenni, K.","contributorId":131113,"corporation":false,"usgs":false,"family":"Jenni","given":"K.","email":"","affiliations":[{"id":7250,"text":"Insight Decisions LCC, 2200 Quitman Street, Denver, CO 80212","active":true,"usgs":false}],"preferred":false,"id":537318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, D.","contributorId":15393,"corporation":false,"usgs":true,"family":"Graves","given":"D.","email":"","affiliations":[],"preferred":false,"id":537316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hardiman, Jill M. 0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":537310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":537311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537313,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mesa, Matthew G. mmesa@usgs.gov","contributorId":3423,"corporation":false,"usgs":true,"family":"Mesa","given":"Matthew","email":"mmesa@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":537314,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Montag, J.","contributorId":10124,"corporation":false,"usgs":true,"family":"Montag","given":"J.","affiliations":[],"preferred":false,"id":537315,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nieman, Timothy","contributorId":91965,"corporation":false,"usgs":true,"family":"Nieman","given":"Timothy","affiliations":[],"preferred":false,"id":537317,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Voss, Frank D. fdvoss@usgs.gov","contributorId":1651,"corporation":false,"usgs":true,"family":"Voss","given":"Frank","email":"fdvoss@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537309,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Maule, Alec G. amaule@usgs.gov","contributorId":2606,"corporation":false,"usgs":true,"family":"Maule","given":"Alec","email":"amaule@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":537308,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70122360,"text":"70122360 - 2014 - Wind River subbasin restoration: U.S. Geological Survey annual report November 2012 through December 2013","interactions":[],"lastModifiedDate":"2016-04-26T16:06:44","indexId":"70122360","displayToPublicDate":"2014-05-01T10:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"1998-019-00","title":"Wind River subbasin restoration: U.S. Geological Survey annual report November 2012 through December 2013","docAbstract":"

Executive Summary

\n

The Wind River subbasin in southwest Washington State provides habitat for a population of wild Lower Columbia River steelhead Oncorhynchus mykiss. There have been no hatchery steelhead planted in the Wind River subbasin since 1994, and hatchery adults are estimated to be less than one percent of adults in any year (pers comm. Thomas Buehrens, Washington Department of Fish and Wilflife). We used Passive Integrated Transponder (PIT)-tagging and a series of instream PIT-tag interrogation systems (PTIS) to investigate life-histories, populations, and efficacy of habitat restoration actions for these steelhead. Data from our study, and companion work by Washington Department of Fish and Wildlife (WDFW), will contribute to Bonneville Power Administration’s (BPA) Research Monitoring and Evaluation (RM&E) Program Strategy of Fish Population Status Monitoring (www.cbfish.org/ProgramStrategy.mvc/ViewProgramStrategySummary/1), specifically the sub-strategies of: 1) Assessing the Status and Trends of Diversity of Natural Origin Fish Populations and to uncertainties research regarding differing life histories of a wild steelhead population, 2) Assessing the Status and Trend of Adult Natural Origin Fish Populations, and 3) Monitoring and Evaluating the Effectiveness of Tributary Habitat Actions Relative to Environmental, Physical, or Biological Performance Objectives.

\n

During summer 2013, we PIT-tagged parr steelhead in headwater areas of the Wind River subbasin to investigate variable life-histories, specifically to compare fate of those juvenile steelhead that move downstream prior to smolting with those that remain in their natal areas until smolting. A series of instream PTISs monitored movement of these fish. Detections at the instream PTISs showed trends of parr emigration during summer and fall, in addition to the expected movement of parr and smolts in spring. Long-term monitoring of PIT-tagged fish over multiple years will provide information on contribution of various life-history strategies to smolt production and adult returns, as well as helping to identify factors influencing parr movement.

\n

Movements of PIT-tagged adult steelhead were tracked with our instream PTISs. These data have provided information on timing of adult movements to various parts of the watershed, which is allowing us to assess adult returns to tributary watersheds within the Wind River subbasin. Determination of adult use of tributary watersheds has provided data that will contribute to evaluating the efficacy of the removal of Hemlock Dam from Trout Creek. Hemlock Dam, located at rkm 2.0 of Trout Creek was removed in summer 2009 and had contributed to hydrologic impairment of Trout Creek.

\n

Evaluating restoration efforts is of interest to many managers and agencies so that funding and time are allocated for best results. The evaluation of various life-histories of Lower Columbia River steelhead within the Wind River subbasin will provide information to better track populations, and to direct habitat restoration and water allocation planning. Increasingly detailed Viable Salmonid Population information, such as that provided by PIT-tagging and instream PTISs networks like those we are building and operating in the Wind River subbasin, will provide data to inform policy and management, as life-history strategies and production bottlenecks are identified and understood.

","language":"English","publisher":"Bonneville Power Administration","collaboration":"This report was funded by the Bonneville Power Administration (BPA), U.S. Department of Energy, as part of BPA's program to protect, mitigate, and enhance fish and wildlife affected by the development and operation of hydroelectric facilities on the Columbia River and its tributaries.","usgsCitation":"Jezorek, I.G., and Connolly, P., 2014, Wind River subbasin restoration: U.S. Geological Survey annual report November 2012 through December 2013, 45 p.","productDescription":"45 p.","numberOfPages":"45","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2012-11-01","temporalEnd":"2013-12-31","ipdsId":"IP-055076","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":294309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320575,"type":{"id":11,"text":"Document"},"url":"https://pisces.bpa.gov/release/documents/documentviewer.aspx?doc=P138064","text":"Report","size":"715.13 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Washington","otherGeospatial":"Wind River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.963568,45.751448 ], [ -121.963568,45.969903 ], [ -121.787086,45.969903 ], [ -121.787086,45.751448 ], [ -121.963568,45.751448 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422bb3ce4b08312ac7cf131","contributors":{"authors":[{"text":"Jezorek, Ian G. 0000-0002-3842-3485 ijezorek@usgs.gov","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":3572,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","email":"ijezorek@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Patrick J. 0000-0001-7365-7618 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0001-7365-7618","contributorId":2920,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick J.","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":499497,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70095477,"text":"70095477 - 2014 - Hydrogeomorphic effects of explosive volcanic eruptions on drainage basins","interactions":[],"lastModifiedDate":"2019-03-13T09:27:32","indexId":"70095477","displayToPublicDate":"2014-05-01T10:18:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":806,"text":"Annual Review of Earth and Planetary Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeomorphic effects of explosive volcanic eruptions on drainage basins","docAbstract":"Explosive eruptions can severely disturb landscapes downwind or downstream of volcanoes by damaging vegetation and depositing large volumes of erodible fragmental material. As a result, fluxes of water and sediment in affected drainage basins can increase dramatically. System-disturbing processes associated with explosive eruptions include tephra fall, pyroclastic density currents, debris avalanches, and lahars—processes that have greater impacts on water and sediment discharges than lava-flow emplacement. Geo-morphic responses to such disturbances can extend far downstream, persist for decades, and be hazardous. The severity of disturbances to a drainage basin is a function of the specific volcanic process acting, as well as distance from the volcano and magnitude of the eruption. Postdisturbance unit-area sediment yields are among the world's highest; such yields commonly result in abundant redeposition of sand and gravel in distal river reaches, which causes severe channel aggradation and instability. Response to volcanic disturbance can result in socioeconomic consequences more damaging than the direct impacts of the eruption itself.","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-earth-060313-054913","usgsCitation":"Pierson, T.C., and Major, J.J., 2014, Hydrogeomorphic effects of explosive volcanic eruptions on drainage basins: Annual Review of Earth and Planetary Sciences, v. 42, p. 469-507, https://doi.org/10.1146/annurev-earth-060313-054913.","productDescription":"39 p.","startPage":"469","endPage":"507","numberOfPages":"39","ipdsId":"IP-052236","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":288138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7740e4b0abf75cf2c0ca","contributors":{"authors":[{"text":"Pierson, Thomas C. 0000-0001-9002-4273 tpierson@usgs.gov","orcid":"https://orcid.org/0000-0001-9002-4273","contributorId":2498,"corporation":false,"usgs":true,"family":"Pierson","given":"Thomas","email":"tpierson@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":491211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":491210,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70129247,"text":"70129247 - 2014 - Assessment of parametric uncertainty for groundwater reactive transport modeling,","interactions":[],"lastModifiedDate":"2014-10-21T10:02:56","indexId":"70129247","displayToPublicDate":"2014-05-01T10:01:36","publicationYear":"2014","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":"Assessment of parametric uncertainty for groundwater reactive transport modeling,","docAbstract":"The validity of using Gaussian assumptions for model residuals in uncertainty quantification of a groundwater reactive transport model was evaluated in this study. Least squares regression methods explicitly assume Gaussian residuals, and the assumption leads to Gaussian likelihood functions, model parameters, and model predictions. While the Bayesian methods do not explicitly require the Gaussian assumption, Gaussian residuals are widely used. This paper shows that the residuals of the reactive transport model are non-Gaussian, heteroscedastic, and correlated in time; characterizing them requires using a generalized likelihood function such as the formal generalized likelihood function developed by Schoups and Vrugt (2010). For the surface complexation model considered in this study for simulating uranium reactive transport in groundwater, parametric uncertainty is quantified using the least squares regression methods and Bayesian methods with both Gaussian and formal generalized likelihood functions. While the least squares methods and Bayesian methods with Gaussian likelihood function produce similar Gaussian parameter distributions, the parameter distributions of Bayesian uncertainty quantification using the formal generalized likelihood function are non-Gaussian. In addition, predictive performance of formal generalized likelihood function is superior to that of least squares regression and Bayesian methods with Gaussian likelihood function. The Bayesian uncertainty quantification is conducted using the differential evolution adaptive metropolis (DREAM(zs)) algorithm; as a Markov chain Monte Carlo (MCMC) method, it is a robust tool for quantifying uncertainty in groundwater reactive transport models. For the surface complexation model, the regression-based local sensitivity analysis and Morris- and DREAM(ZS)-based global sensitivity analysis yield almost identical ranking of parameter importance. The uncertainty analysis may help select appropriate likelihood functions, improve model calibration, and reduce predictive uncertainty in other groundwater reactive transport and environmental modeling.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2013WR013755","usgsCitation":"Shi, X., Ye, M., Curtis, G.P., Miller, G.L., Meyer, P.D., Kohler, M., Yabusaki, S., and Wu, J., 2014, Assessment of parametric uncertainty for groundwater reactive transport modeling,: Water Resources Research, v. 50, no. 5, p. 4416-4439, https://doi.org/10.1002/2013WR013755.","productDescription":"24 p.","startPage":"4416","endPage":"4439","numberOfPages":"24","ipdsId":"IP-055224","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473018,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013wr013755","text":"Publisher Index Page"},{"id":295521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295489,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013WR013755"},{"id":295490,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/2013WR013755/full"}],"volume":"50","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-05-28","publicationStatus":"PW","scienceBaseUri":"544775a5e4b0f888a81b82f8","contributors":{"authors":[{"text":"Shi, Xiaoqing","contributorId":30931,"corporation":false,"usgs":true,"family":"Shi","given":"Xiaoqing","email":"","affiliations":[],"preferred":false,"id":503569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ye, Ming","contributorId":78670,"corporation":false,"usgs":true,"family":"Ye","given":"Ming","affiliations":[],"preferred":false,"id":503573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Curtis, Gary P. 0000-0003-3975-8882 gpcurtis@usgs.gov","orcid":"https://orcid.org/0000-0003-3975-8882","contributorId":2346,"corporation":false,"usgs":true,"family":"Curtis","given":"Gary","email":"gpcurtis@usgs.gov","middleInitial":"P.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Geoffery L.","contributorId":80601,"corporation":false,"usgs":true,"family":"Miller","given":"Geoffery","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":503574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Philip D.","contributorId":38493,"corporation":false,"usgs":true,"family":"Meyer","given":"Philip","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":503571,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kohler, Matthias mkohler@usgs.gov","contributorId":2624,"corporation":false,"usgs":true,"family":"Kohler","given":"Matthias","email":"mkohler@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503568,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yabusaki, Steve","contributorId":65403,"corporation":false,"usgs":true,"family":"Yabusaki","given":"Steve","affiliations":[],"preferred":false,"id":503572,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wu, Jichun","contributorId":36878,"corporation":false,"usgs":true,"family":"Wu","given":"Jichun","email":"","affiliations":[],"preferred":false,"id":503570,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70170483,"text":"70170483 - 2014 - Cycles of explosive and effusive eruptions at Kīlauea Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2019-03-14T07:55:48","indexId":"70170483","displayToPublicDate":"2014-05-01T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Cycles of explosive and effusive eruptions at Kīlauea Volcano, Hawai‘i","docAbstract":"

The subaerial eruptive activity at Kīlauea Volcano (Hawai‘i) for the past 2500 yr can be divided into 3 dominantly effusive and 2 dominantly explosive periods, each lasting several centuries. The prevailing style of eruption for 60% of this time was explosive, manifested by repeated phreatic and phreatomagmatic activity in a deep summit caldera. During dominantly explosive periods, the magma supply rate to the shallow storage volume beneath the summit dropped to only a few percent of that during mainly effusive periods. The frequency and duration of explosive activity are contrary to the popular impression that Kīlauea is almost unceasingly effusive. Explosive activity apparently correlates with the presence of a caldera intersecting the water table. The decrease in magma supply rate may result in caldera collapse, because erupted or intruded magma is not replaced. Glasses with unusually high MgO, TiO2, and K2O compositions occur only in explosive tephra (and one related lava flow) and are consistent with disruption of the shallow reservoir complex during caldera formation. Kīlauea is a complex, modulated system in which melting rate, supply rate, conduit stability (in both mantle and crust), reservoir geometry, water table, and many other factors interact with one another. The hazards associated with explosive activity at Kīlauea’s summit would have major impact on local society if a future dominantly explosive period were to last several centuries. The association of lowered magma supply, caldera formation, and explosive activity might characterize other basaltic volcanoes, but has not been recognized.

","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/G35701.1","usgsCitation":"Swanson, D., Rose, T.R., Mucek, A., Garcia, M.O., Fiske, R.S., and Mastin, L.G., 2014, Cycles of explosive and effusive eruptions at Kīlauea Volcano, Hawai‘i: Geology, v. 42, no. 7, p. 631-634, https://doi.org/10.1130/G35701.1.","productDescription":"4 p.","startPage":"631","endPage":"634","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055751","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":320395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.2836799621582,\n 19.43065788069488\n ],\n [\n -155.29329299926758,\n 19.425801277078957\n ],\n [\n -155.29672622680664,\n 19.42078263415394\n ],\n [\n -155.29998779296875,\n 19.415116238124682\n ],\n [\n -155.30101776123047,\n 19.408478208711944\n ],\n [\n -155.29998779296875,\n 19.39892544698541\n ],\n [\n -155.2965545654297,\n 19.392448679313798\n ],\n [\n -155.29020309448242,\n 19.388724421195075\n ],\n [\n -155.27990341186523,\n 19.387429007095374\n ],\n [\n -155.26857376098633,\n 19.387914788590646\n ],\n [\n -155.25432586669922,\n 19.393258289368795\n ],\n [\n -155.24351119995117,\n 19.3997350248192\n ],\n [\n -155.23321151733398,\n 19.41106869145732\n ],\n [\n -155.2371597290039,\n 19.41851609944751\n ],\n [\n -155.24471282958984,\n 19.425477498342186\n ],\n [\n -155.25157928466797,\n 19.431467300513766\n ],\n [\n -155.26067733764648,\n 19.434057416826118\n ],\n [\n -155.269775390625,\n 19.43519057972264\n ],\n [\n -155.28196334838867,\n 19.433733654546185\n ],\n [\n -155.2836799621582,\n 19.43065788069488\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"571b4b2ce4b071321fe31c56","contributors":{"authors":[{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":627394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rose, Timothy R.","contributorId":31275,"corporation":false,"usgs":true,"family":"Rose","given":"Timothy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":627395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mucek, Adonara E","contributorId":168821,"corporation":false,"usgs":false,"family":"Mucek","given":"Adonara E","affiliations":[{"id":25364,"text":"Univ. Hawai`i","active":true,"usgs":false}],"preferred":false,"id":627396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Michael O.","contributorId":51636,"corporation":false,"usgs":true,"family":"Garcia","given":"Michael","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":627397,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fiske, Richard S.","contributorId":17984,"corporation":false,"usgs":true,"family":"Fiske","given":"Richard","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":627398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":627399,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70103365,"text":"70103365 - 2014 - Woody vegetation communities of tidal freshwater swamps in South Carolina, Georgia and Florida (US) with comparisons to similar systems in the US and South America","interactions":[],"lastModifiedDate":"2014-05-02T10:12:52","indexId":"70103365","displayToPublicDate":"2014-05-01T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Woody vegetation communities of tidal freshwater swamps in South Carolina, Georgia and Florida (US) with comparisons to similar systems in the US and South America","docAbstract":"

Questions

\n

What are the general tree communities found in tidal freshwater swamps along four large coastal rivers in the southeastern United States (US)? How do these communities compare to other tidal freshwater swamps in the US and South America?

\n\n
\n\n

Locations

\n

Tidal floodplains of major rivers along the Atlantic and Gulf coasts of the southeastern US: Savannah, Altamaha, Suwannee and Apalachicola Rivers.

\n\n
\n\n

Methods

\n

An extensive survey of trees and shrubs was conducted to describe the communities from a range of tidal freshwater swamps. River basins studied include micro-tidal (Gulf coast) and meso-tidal (Atlantic coast) regimes, and study areas were located both near and distant to primary channels. A total of 128 plots (100 m2 each) were inventoried, distributed evenly over the Savannah and Altamaha Rivers along the Atlantic coast, and the Suwannee and Apalachicola Rivers along the Gulf coast. Multivariate statistics helped discern communities and the significant indicator species in each.

\n\n
\n\n

Results

\n

Four general communities were characterized and named according to the strongest individual indicator species in each: Water Tupelo (Nyssa aquatica) Community, Swamp Tupelo (Nyssa biflora) Community, Dwarf Palmetto (Sabal minor) Community and Cabbage Palm (Sabal palmetto) Community.

\n\n
\n\n

Conclusions

\n

Descriptions of most tidal freshwater swamps in the southeastern US fit within the communities described in this study. Because studies that make inferences between environmental drivers (e.g. salinity, hydroperiod, hurricanes) and specific community types are best applied to the same communities (but perhaps different river systems), this work provides a framework by which tidal freshwater forested wetlands can be accurately compared based on their tree communities. We suggest that, within the broad range of our inventories, the four communities described identify the primary associations that should be tracked within most tidal freshwater swamps of the US. However, we identify some river basins in the US that do not fit this construct. Diversity of major tree communities in tidal freshwater swamps outside the US is generally much lower (with the notable exception of Amazonian hardwood tidal várzea), as are basal area values.

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The months of August through December are dominated by increased coral Ba/Ca values, corresponding to the rainy season. With river water enriched in barium related to nearshore seawater, coral Ba/Ca ratios are presented as a proxy for input of fine-grained terrigenous sediment to the nearshore environment. The century-long Ba/Ca coral record indicates that the Asan fore reef is within the zone of impact from discharged sediments transported from the Piti-Asan watershed and has experienced increased terrestrial sedimentation since the 1940s. This abrupt shift in sedimentation occurred at the same time as both the sudden denudation of the landscape by military ordinance and the immediate subsequent development of the Asan area through the end of the war, from 1944 through 1945. In response to rapid input of sediment, as determined from coral Ba/Ca values, coral growth rates were reduced for almost two decades, while calcification rates recovered much more quickly. Furthermore, coral luminescence is decoupled from the Ba/Ca record, which is consistent with degradation of soil organic matter through disturbance by forest fires, suggesting a potential index of fire history and degradation of soil organic matter. These patterns were not seen in the cores from nearby reefs associated with watersheds that have not undergone the same degree of landscape denudation. Taken together, these records provide a valuable tool for understanding the compounding effects of land-use change on coral reef health.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Coral Reefs","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00338-014-1166-x","usgsCitation":"Prouty, N.G., Storlazzi, C., McCutcheon, A.L., and Jenson, J.W., 2014, Historic impact of watershed change and sedimentation to reefs along west-central Guam: Coral Reefs, v. 33, no. 3, p. 733-749, https://doi.org/10.1007/s00338-014-1166-x.","productDescription":"17 p.","startPage":"733","endPage":"749","numberOfPages":"17","ipdsId":"IP-052605","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":288133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288132,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00338-014-1166-x"}],"country":"Guam","otherGeospatial":"Agat Bay;Apra Harbor;Asan Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.75,13.333333 ], [ 144.75,13.5 ], [ 144.5,13.5 ], [ 144.5,13.333333 ], [ 144.75,13.333333 ] ] ] } } ] }","volume":"33","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-05-18","publicationStatus":"PW","scienceBaseUri":"53ae7739e4b0abf75cf2c0b2","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":493545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":77889,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[],"preferred":false,"id":493548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCutcheon, Amanda L.","contributorId":69892,"corporation":false,"usgs":true,"family":"McCutcheon","given":"Amanda","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":493547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenson, John W.","contributorId":23112,"corporation":false,"usgs":true,"family":"Jenson","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":493546,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70129722,"text":"70129722 - 2014 - Impact of stressors on transmission potential of Renibacterium salmoninarum in Chinook salmon","interactions":[],"lastModifiedDate":"2017-09-11T09:12:22","indexId":"70129722","displayToPublicDate":"2014-05-01T06:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"title":"Impact of stressors on transmission potential of Renibacterium salmoninarum in Chinook salmon","docAbstract":"

Renibacterium salmoninarum is the causative agent of bacterial kidney disease (BKD) affecting several species of Pacific salmon.  The severity of BKD can range from a chronic infection to overt disease with high mortality as in the case of large losses of adult Chinook salmon (Oncorhynchus tshawytscha) in the Great Lakes during late 1980s. The goal of this study was to empirically evaluate how environmental stressors relevant to the Great Lakes impact R. salmoninarum disease progression and bacterial shedding, the latter parameter being a proxy of horizontal transmission. In the first study (Aim 1), we focused on how endogenous host thiamine levels and dietary fatty acids impacted resistance of Chinook salmon to R. salmoninarum. Juvenile fish were fed one of four experimental diets, including a (1) thiamine replete diet formulated with fish oil, (2) thiamine deplete diet formulated with fish oil, (3) thiamine replete diet formulated with soybean oil, and (4) thiamine deplete diet formulated with soybean oil, before being challenged with buffer or R. salmoninarum. We observed significantly higher mortality in the R. salmoninarum infected groups relative to the corresponding mock controls in only the thiamine replete diet groups. We also observed a significant effect of time and diet on kidney bacterial load and bacterial shedding, with a significant trend towards higher shedding and bacterial load in the fish oil – thiamine replete diet group. However, during the course of the study, unexpected mortality occurred in all groups attributed to the myxozoan parasite Ceratomyxa shasta. Since the fish were dually-infected with C. shasta, we evaluated parasite DNA levels (parasitic load) in the kidney of sampled fish. We found that parasite load varied across time points but there was no significant effect of diet. However, parasite load did differ significantly between the mock and R. salmoninarum challenge groups with a trend towards longer persistence of C. shasta DNA in fish dually-infected with R. salmoninarum. Overall, results in Aim 1 indicated: 1) that the experimental diets impacted bacterial but not parasitic infection patterns, 2) that low thiamine levels may reduce the severity of R. salmoninarum infection, and 3) that fish infected with R. salmoninarum may be less able to clear a secondary infection with a parasite. The second study (Aim 2) focused on the role that temperature plays in the progression of BKD from the asymptomatic infected state to a diseased state. Lake Michigan Chinook salmon were infected with R. salmoninarum at a common intermediate water temperature and, at 2 weeks post-infection, were split into three temperature groups (cool, intermediate and warm). Fish held at the cool temperature (8°C) had significantly greater mortality following challenge, significantly higher levels of bacteria in the kidney, and shed significantly greater amounts of bacteria into the water relative to fish held at the intermediate (12°C) and warm (15°C) temperatures. Thus, our results support the hypothesis that, for BKD, warm temperature stress does not contribute to greater disease progression and increased bacterial shedding. Our laboratory results are consistent with field epidemiological observations that BKD mortality in the Great Lakes is commonly associated with declining water temperatures in the fall or when water temperatures begin to increase but are still cool after over-wintering. 

","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Purcell, M., and Winton, J.R., 2014, Impact of stressors on transmission potential of Renibacterium salmoninarum in Chinook salmon, HTML Document.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057082","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":320731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295755,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/pubs/pdfs/research/reports/Purcell_2014.htm"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57248643e4b0b13d39159590","contributors":{"authors":[{"text":"Purcell, Maureen K. mpurcell@usgs.gov","contributorId":3061,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen K.","email":"mpurcell@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":519915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winton, James R. 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":1944,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":519914,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70132328,"text":"70132328 - 2014 - The behavioural response of adult Petromyzon marinus to damage-released alarm and predator cues","interactions":[],"lastModifiedDate":"2020-12-31T17:16:32.769474","indexId":"70132328","displayToPublicDate":"2014-05-01T01:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The behavioural response of adult Petromyzon marinus to damage-released alarm and predator cues","title":"The behavioural response of adult Petromyzon marinus to damage-released alarm and predator cues","docAbstract":"

Using semi‐natural enclosures, this study investigated (1) whether adult sea lamprey Petromyzon marinus show avoidance of damage‐released conspecific cues, damage‐released heterospecific cues and predator cues and (2) whether this is a general response to injured heterospecific fishes or a specific response to injured P. marinus. Ten replicate groups of 10 adult P. marinus, separated by sex, were exposed to one of the following nine stimuli: deionized water (control), extracts prepared from adult P. marinus, decayed adult P. marinus (conspecific stimuli), sympatric white sucker Catostomus commersonii, Amazon sailfin catfish Pterygoplichthys pardalis (heterospecific stimuli), 2‐phenylethylamine (PEA HCl) solution, northern water snake Nerodia sipedon washing, human saliva (predator cues) and an adult P. marinus extract and human saliva combination (a damage‐released conspecific cue and a predator cue). Adult P. marinus showed a significant avoidance response to the adult P. marinus extract as well as to C. commersonii, human saliva, PEA and the adult P. marinus extract and human saliva combination. For mobile P. marinus, the N. sipedon washing induced behaviour consistent with predator inspection. Exposure to the P. pardalis extract did not induce a significant avoidance response during the stimulus release period. Mobile adult female P. marinus showed a stronger avoidance behaviour than mobile adult male P. marinus in response to the adult P. marinus extract and the adult P. marinus extract and human saliva combination. The findings support the continued investigation of natural damage‐released alarm cue and predator‐based repellents for the behavioural manipulation of P. marinus populations in the Laurentian Great Lakes.

","language":"English","publisher":"Wiley","doi":"10.1111/jfb.12374","usgsCitation":"Imre, I., Di Rocco, R., Belanger, C., Brown, G., and Johnson, N.S., 2014, The behavioural response of adult Petromyzon marinus to damage-released alarm and predator cues: Journal of Fish Biology, v. 84, no. 5, p. 1490-1502, https://doi.org/10.1111/jfb.12374.","productDescription":"13 p.","startPage":"1490","endPage":"1502","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053453","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":473020,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfb.12374","text":"Publisher Index Page"},{"id":295944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-04-28","publicationStatus":"PW","scienceBaseUri":"545ded2de4b0ba8303f92ba2","contributors":{"authors":[{"text":"Imre, István","contributorId":126737,"corporation":false,"usgs":false,"family":"Imre","given":"István","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":522768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Di Rocco, Richard","contributorId":126735,"corporation":false,"usgs":false,"family":"Di Rocco","given":"Richard","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":522769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belanger, Cowan","contributorId":126736,"corporation":false,"usgs":false,"family":"Belanger","given":"Cowan","email":"","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":522770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Grant","contributorId":126738,"corporation":false,"usgs":false,"family":"Brown","given":"Grant","affiliations":[{"id":6586,"text":"Concordia University","active":true,"usgs":false}],"preferred":false,"id":522771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":522767,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189561,"text":"70189561 - 2014 - An intercomparison of three methods for the large-scale isolation of oceanic dissolved organic matter","interactions":[],"lastModifiedDate":"2017-07-17T12:25:27","indexId":"70189561","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2662,"text":"Marine Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"An intercomparison of three methods for the large-scale isolation of oceanic dissolved organic matter","docAbstract":"

Dissolved organic matter (DOM) was isolated from large volumes of deep (674 m) and surface (21 m) ocean water via reverse osmosis/electrodialysis (RO/ED) and two solid-phase extraction (SPE) methods (XAD-8/4 and PPL) at the Natural Energy Laboratory of Hawaii Authority (NELHA). By applying the three methods to common water samples, the efficiencies of XAD, PPL and RO/ED DOM isolation were compared. XAD recovered 42% of dissolved organic carbon (DOC) from deep water (25% with XAD-8; 17% with XAD-4) and 30% from surface water (16% with XAD-8; 14% with XAD-4). PPL recovered 61 ± 3% of DOC from deep water and 61% from surface water. RO/ED recovered 82 ± 3% of DOC from deep water, 14 ± 3% of which was recovered in a sodium hydroxide rinse, and 75 ± 5% of DOC from surface water, with 12 ± 2% in the sodium hydroxide rinse. The highest recoveries of all were achieved by the sequential isolation of DOC, first with PPL and then via RO/ED. This combined technique recovered 98% of DOC from a deep water sample and 101% of DOC from a surface water sample. In total, 1.9, 10.3 and 1.6 g-C of DOC were collected via XAD, PPL and RO/ED, respectively. Rates of DOC recovery using the XAD, PPL and RO/ED methods were 10, 33 and 10 mg-C h− 1, respectively. Based upon C/N ratios, XAD isolates were heavily C-enriched compared with water column DOM, whereas RO/ED and PPL ➔ RO/ED isolate C/N values were most representative of the original DOM. All techniques are suitable for the isolation of large amounts of DOM with purities suitable for most advanced analytical techniques. Coupling PPL and RO/ED techniques may provide substantial progress in the search for a method to quantitatively isolate oceanic DOC, bringing the entirety of the DOM pool within the marine chemist's analytical window.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.marchem.2014.01.012","usgsCitation":"Green, N.W., Perdue, E.M., Aiken, G.R., Butler, K.D., Chen, H., Dittmar, T., Niggemann, J., and Stubbins, A., 2014, An intercomparison of three methods for the large-scale isolation of oceanic dissolved organic matter: Marine Chemistry, v. 161, p. 14-19, https://doi.org/10.1016/j.marchem.2014.01.012.","productDescription":"6 p.","startPage":"14","endPage":"19","ipdsId":"IP-054494","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"161","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"596dcca4e4b0d1f9f0627567","contributors":{"authors":[{"text":"Green, Nelson W.","contributorId":194720,"corporation":false,"usgs":false,"family":"Green","given":"Nelson","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":705183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perdue, E. Michael","contributorId":86904,"corporation":false,"usgs":true,"family":"Perdue","given":"E.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":705184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butler, Kenna D. kebutler@usgs.gov","contributorId":3283,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna","email":"kebutler@usgs.gov","middleInitial":"D.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":705186,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chen, Hongmei","contributorId":194721,"corporation":false,"usgs":false,"family":"Chen","given":"Hongmei","email":"","affiliations":[],"preferred":false,"id":705187,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dittmar, Thorsten","contributorId":191245,"corporation":false,"usgs":false,"family":"Dittmar","given":"Thorsten","email":"","affiliations":[],"preferred":false,"id":705188,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Niggemann, Jutta","contributorId":194722,"corporation":false,"usgs":false,"family":"Niggemann","given":"Jutta","email":"","affiliations":[],"preferred":false,"id":705189,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stubbins, Aron","contributorId":80949,"corporation":false,"usgs":true,"family":"Stubbins","given":"Aron","affiliations":[],"preferred":false,"id":705190,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70133273,"text":"70133273 - 2014 - Climate, not atmospheric deposition, drives the biogeochemical mass-balance of a mountain watershed","interactions":[],"lastModifiedDate":"2020-12-21T17:29:18.638532","indexId":"70133273","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Climate, not atmospheric deposition, drives the biogeochemical mass-balance of a mountain watershed","docAbstract":"

Watershed mass-balance methods are valuable tools for demonstrating impacts to water quality from atmospheric deposition and chemical weathering. Owen Bricker, a pioneer of the mass-balance method, began applying mass-balance modeling to small watersheds in the late 1960s and dedicated his career to expanding the literature and knowledge of complex watershed processes. We evaluated long-term trends in surface-water chemistry in the Loch Vale watershed, a 660-ha. alpine/subalpine catchment located in Rocky Mountain National Park, CO, USA. Many changes in surface-water chemistry correlated with multiple drivers, including summer or monthly temperature, snow water equivalent, and the runoff-to-precipitation ratio. Atmospheric deposition was not a significant causal agent for surface-water chemistry trends. We observed statistically significant increases in both concentrations and fluxes of weathering products including cations, SiO2, SO4 2−, and ANC, and in inorganic N, with inorganic N being primarily of atmospheric origin. These changes are evident in the individual months June, July, and August, and also in the combined June, July, and August summer season. Increasingly warm summer temperatures are melting what was once permanent ice and this may release elements entrained in the ice, stimulate chemical weathering with enhanced moisture availability, and stimulate microbial nitrification. Weathering rates may also be enhanced by sustained water availability in high snowpack years. Rapid change in the flux of weathering products and inorganic N is the direct and indirect result of a changing climate from warming temperatures and thawing cryosphere.

","language":"English","publisher":"Springer","doi":"10.1007/s10498-013-9199-2","usgsCitation":"Baron, J., and Heath, J., 2014, Climate, not atmospheric deposition, drives the biogeochemical mass-balance of a mountain watershed: Aquatic Geochemistry, v. 20, no. 2-3, p. 167-181, https://doi.org/10.1007/s10498-013-9199-2.","productDescription":"15 p.","startPage":"167","endPage":"181","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046111","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10498-013-9199-2","text":"Publisher Index Page"},{"id":296065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Loch Vale Watershed, Rock Mountain National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.1444091796875,\n 39.977120098439634\n ],\n [\n -106.1444091796875,\n 40.701463603604594\n ],\n [\n -105.3424072265625,\n 40.701463603604594\n ],\n [\n -105.3424072265625,\n 39.977120098439634\n ],\n [\n -106.1444091796875,\n 39.977120098439634\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"2-3","noUsgsAuthors":false,"publicationDate":"2013-08-01","publicationStatus":"PW","scienceBaseUri":"5465d62fe4b04d4b7dbd6584","contributors":{"authors":[{"text":"Baron, Jill S. 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":822,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":524986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heath, Jared","contributorId":127392,"corporation":false,"usgs":false,"family":"Heath","given":"Jared","email":"","affiliations":[{"id":6935,"text":"Natural Resources Ecology Laboratory, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":524987,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70196968,"text":"70196968 - 2014 - Genomic characterization of H14 subtype influenza A viruses in New World waterfowl and experimental infectivity in mallards Anas platyrhynchos","interactions":[],"lastModifiedDate":"2018-09-04T16:37:48","indexId":"70196968","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genomic characterization of H14 subtype influenza A viruses in New World waterfowl and experimental infectivity in mallards (Anas platyrhynchos) ","title":"Genomic characterization of H14 subtype influenza A viruses in New World waterfowl and experimental infectivity in mallards Anas platyrhynchos","docAbstract":"

Recent repeated isolation of H14 hemagglutinin subtype influenza A viruses (IAVs) in the New World waterfowl provides evidence to suggest that host and/or geographic ranges for viruses of this subtype may be expanding. In this study, we used genomic analyses to gain inference on the origin and evolution of H14 viruses in New World waterfowl and conducted an experimental challenge study in mallards (Anas platyrhynchos) to evaluate pathogenicity, viral replication, and transmissibility of a representative viral strain in a natural host species. Genomic characterization of H14 subtype IAVs isolated from New World waterfowl, including three isolates sequenced specifically for this study, revealed high nucleotide identity among individual gene segments (e.g. ≥95% shared identity among H14 HA gene segments). In contrast, lower shared identity was observed among internal gene segments. Furthermore, multiple neuraminidase subtypes were observed for H14 IAVs isolated in the New World. Gene segments of H14 viruses isolated after 2010 shared ancestral genetic lineages with IAVs isolated from wild birds throughout North America. Thus, genomic characterization provided evidence for viral evolution in New World waterfowl through genetic drift and genetic shift since purported introduction from Eurasia. In the challenge study, no clinical disease or lesions were observed among mallards experimentally inoculated with A/blue-winged teal/Texas/AI13-1028/2013(H14N5) or exposed via contact with infected birds. Titers of viral shedding for mallards challenged with the H14N5 IAV were highest at two days post-inoculation (DPI); however shedding was detected up to nine DPI using cloacal swabs. The distribution of viral antigen among mallards infected with H14N5 IAV was largely restricted to enterocytes lining the villi in the lower intestinal tract and in the epithelium of the bursa of Fabricius. Characterization of the infectivity of A/blue-winged teal/Texas/AI13-1028/2013(H14N5) in mallards provides support for similarities in viral replication and shedding as compared to previously described waterfowl-adapted, low pathogenic IAV strains in ducks.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0095620","usgsCitation":"Ramey, A.M., Poulson, R., Gonzalez-Reiche, A.S., Perez, D.R., Stalknecht, D.E., and Brown, J.D., 2014, Genomic characterization of H14 subtype influenza A viruses in New World waterfowl and experimental infectivity in mallards Anas platyrhynchos: PLoS ONE, v. 9, no. 5, e95620, 10 p., https://doi.org/10.1371/journal.pone.0095620.","productDescription":" e95620, 10 p.","ipdsId":"IP-054397","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":473021,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0095620","text":"Publisher Index Page"},{"id":354116,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-05-01","publicationStatus":"PW","scienceBaseUri":"5afeedd6e4b0da30c1bfc730","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":735168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":735169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gonzalez-Reiche, Ana S.","contributorId":204838,"corporation":false,"usgs":false,"family":"Gonzalez-Reiche","given":"Ana","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":735170,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perez, Daniel R.","contributorId":58208,"corporation":false,"usgs":true,"family":"Perez","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":735171,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stalknecht, David E.","contributorId":150466,"corporation":false,"usgs":false,"family":"Stalknecht","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":735172,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Justin D.","contributorId":87838,"corporation":false,"usgs":false,"family":"Brown","given":"Justin","email":"","middleInitial":"D.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":735173,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187386,"text":"70187386 - 2014 - Relationships among walleye population characteristics and genetic diversity in northern Wisconsin Lakes","interactions":[],"lastModifiedDate":"2017-05-01T12:39:10","indexId":"70187386","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Relationships among walleye population characteristics and genetic diversity in northern Wisconsin Lakes","docAbstract":"

The maintenance of genetic integrity is an important goal of fisheries management, yet little is known regarding the effects of management actions (e.g., stocking, harvest regulations) on the genetic diversity of many important fish species. Furthermore, relationships between population characteristics and genetic diversity remain poorly understood. We examined relationships among population demographics (abundance, recruitment, sex ratio, and mean age of the breeding population), stocking intensity, and genetic characteristics (heterozygosity, effective number of alleles, allelic richness, Wright's inbreeding coefficient, effective population size [Ne], mean d2 [a measure of inbreeding], mean relatedness, and pairwise population ΦST estimates) for 15 populations of Walleye Sander vitreus in northern Wisconsin. We also tested for potential demographic and genetic influences on Walleye body condition and early growth. Combinations of demographic variables explained 47.1–79.8% of the variation in genetic diversity. Skewed sex ratios contributed to a reduction in Ne and subsequent increases in genetic drift and relatedness among individuals within populations; these factors were correlated to reductions in allelic richness and early growth rate. Levels of inbreeding were negatively related to both age-0 abundance and mean age, suggesting Ne was influenced by recruitment and generational overlap. A negative relationship between the effective number of alleles and body condition suggests stocking affected underlying genetic diversity of recipient populations and the overall productivity of the population. These relationships may result from poor performance of stocked fish, outbreeding depression, or density-dependent factors. An isolation-by-distance pattern of genetic diversity was apparent in nonstocked populations, but was disrupted in stocked populations, suggesting that stocking affected genetic structure. Overall, demographic factors were related to genetic diversity and stocking appeared to alter allelic frequencies and the genetic structure of Walleye populations in Wisconsin, possibly resulting in disruption of local adaptation.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2014.880742","usgsCitation":"Waterhouse, M.D., Sloss, B.L., and Isermann, D.A., 2014, Relationships among walleye population characteristics and genetic diversity in northern Wisconsin Lakes: Transactions of the American Fisheries Society, v. 143, no. 3, p. 744-756, https://doi.org/10.1080/00028487.2014.880742.","productDescription":"13 p.","startPage":"744","endPage":"756","ipdsId":"IP-045413","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Oneida County, Vilas County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.0477,45.8953],[-89.047,45.8097],[-89.0469,45.7265],[-89.0475,45.6391],[-89.0468,45.5518],[-89.0467,45.4668],[-89.174,45.4681],[-89.3013,45.4692],[-89.4274,45.4707],[-89.4286,45.5553],[-89.5489,45.5562],[-89.6725,45.5556],[-89.7961,45.5559],[-89.9197,45.5551],[-90.0433,45.5551],[-90.0434,45.6443],[-90.0434,45.7302],[-90.0448,45.8176],[-90.0428,45.8972],[-90.0442,45.9823],[-90.0134,45.9824],[-89.9853,45.9821],[-89.9289,45.9818],[-89.9282,46.0693],[-89.9288,46.1558],[-89.9287,46.2428],[-89.929,46.3],[-89.7599,46.268],[-89.7368,46.2636],[-89.5829,46.2347],[-89.5331,46.2252],[-89.5133,46.2215],[-89.4272,46.2048],[-89.3759,46.1949],[-89.2666,46.1737],[-89.2302,46.1662],[-89.0854,46.1365],[-88.9879,46.0971],[-88.9329,46.0746],[-88.9332,45.9822],[-89.0478,45.9822],[-89.0477,45.8953]]]},\"properties\":{\"name\":\"Oneida\",\"state\":\"WI\"}}]}","volume":"143","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-30","publicationStatus":"PW","scienceBaseUri":"59084932e4b0fc4e448ffd7c","contributors":{"authors":[{"text":"Waterhouse, Matthew D.","contributorId":191666,"corporation":false,"usgs":false,"family":"Waterhouse","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":693752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sloss, Brian L. bsloss@usgs.gov","contributorId":702,"corporation":false,"usgs":true,"family":"Sloss","given":"Brian","email":"bsloss@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":693723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693753,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186145,"text":"70186145 - 2014 - Progress in data collection and dissemination in water resources – 1974-2014","interactions":[],"lastModifiedDate":"2017-03-30T11:24:16","indexId":"70186145","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3720,"text":"Water Resources Impact","printIssn":"1522-3175","active":true,"publicationSubtype":{"id":10}},"title":"Progress in data collection and dissemination in water resources – 1974-2014","docAbstract":"In the 50 years since the founding of the American Water Resources Association (AWRA), there has been tremendous and likely unforeseen progress in water-re- sources data collection and dissemination. Langford and Doyel (1974) (henceforth L&D) described progress during the decade following the founding of AWRA, and focused their description around seven topics. L&D described the changes as being “more philosophical than technical,” and noted the importance to the water-resources com-\nmunity of the more than 30 Federal Acts or Amendments enacted in the decade. \nThe purpose of this article is to provide an update to L&D by reviewing L&D’s predictions of anticipated changes in water resources data collection and dissemi-nation, providing an overview of some of the drivers of change in the water-resources community in the last 40 years, identifying some key advances in water-resources data collection and dissemination since 1974, and out-lining some important near-term challenges. The overview is necessarily incomplete, but represents one perspective based on years of collaboration throughout the water-resources community.","language":"English","publisher":"America Water Resources Association","usgsCitation":"Bales, J.D., 2014, Progress in data collection and dissemination in water resources – 1974-2014: Water Resources Impact, v. 16, no. 3, p. 18-23.","productDescription":"6 p.","startPage":"18","endPage":"23","ipdsId":"IP-056207","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":338805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338804,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.awra.org/impact/"}],"volume":"16","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de1951e4b02ff32c699cb3","contributors":{"authors":[{"text":"Bales, Jerad D. 0000-0001-8398-6984 jdbales@usgs.gov","orcid":"https://orcid.org/0000-0001-8398-6984","contributorId":683,"corporation":false,"usgs":true,"family":"Bales","given":"Jerad","email":"jdbales@usgs.gov","middleInitial":"D.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":687666,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70188045,"text":"70188045 - 2014 - Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture","interactions":[],"lastModifiedDate":"2018-12-07T14:42:44","indexId":"70188045","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":679,"text":"Agricultural Systems","active":true,"publicationSubtype":{"id":10}},"title":"Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture","docAbstract":"

Over 22 million hectares (ha) of U.S. croplands are irrigated. Irrigation is an intensified agricultural land use that increases crop yields and the practice affects water and energy cycles at, above, and below the land surface. Until recently, there has been a scarcity of geospatially detailed information about irrigation that is comprehensive, consistent, and timely to support studies tying agricultural land use change to aquifer water use and other factors. This study shows evidence for a recent overall net expansion of 522 thousand ha across the U.S. (2.33%) and 519 thousand ha (8.7%) in irrigated cropped area across the High Plains Aquifer (HPA) from 2002 to 2007. In fact, over 97% of the net national expansion in irrigated agriculture overlays the HPA. We employed a modeling approach implemented at two time intervals (2002 and 2007) for mapping irrigated agriculture across the conterminous U.S. (CONUS). We utilized U.S. Department of Agriculture (USDA) county statistics, satellite imagery, and a national land cover map in the model. The model output, called the Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the U.S. (MIrAD-US), was then used to reveal relatively detailed spatial patterns of irrigation change across the nation and the HPA. Causes for the irrigation increase in the HPA are complex, but factors include crop commodity price increases, the corn ethanol industry, and government policies related to water use. Impacts of more irrigation may include shifts in local and regional climate, further groundwater depletion, and increasing crop yields and farm income.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.agsy.2014.01.004","usgsCitation":"Brown, J.F., and Pervez, M., 2014, Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture: Agricultural Systems, v. 127, p. 28-40, https://doi.org/10.1016/j.agsy.2014.01.004.","productDescription":"13 p.","startPage":"28","endPage":"40","ipdsId":"IP-039516","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84c4e4b092b266f10d8b","contributors":{"authors":[{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pervez, Md Shahriar 0000-0003-3417-1871 spervez@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":3099,"corporation":false,"usgs":true,"family":"Pervez","given":"Md Shahriar","email":"spervez@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":696310,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70144457,"text":"70144457 - 2014 - Evaluation of high-frequency mean streamwater transit-time estimates using groundwater age and dissolved silica concentrations in a small forested watershed","interactions":[],"lastModifiedDate":"2016-11-30T14:40:23","indexId":"70144457","displayToPublicDate":"2014-05-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of high-frequency mean streamwater transit-time estimates using groundwater age and dissolved silica concentrations in a small forested watershed","docAbstract":"

Many previous investigations of mean streamwater transit times (MTT) have been limited by an inability to quantify the MTT dynamics. Here, we draw on (1) a linear relation (r 2 = 0.97) between groundwater 3H/3He ages and dissolved silica (Si) concentrations, combined with (2) predicted streamwater Si concentrations from a multiple-regression relation (R 2 = 0.87) to estimate MTT at 5-min intervals for a 23-year time series of streamflow [water year (WY) 1986 through 2008] at the Panola Mountain Research Watershed, Georgia. The time-based average MTT derived from the 5-min data was ~8.4 ± 2.9 years and the volume-weighted (VW) MTT was ~4.7 years for the study period, reflecting the importance of younger runoff water during high flow. The 5-min MTTs are normally distributed and ranged from 0 to 15 years. Monthly VW MTTs averaged 7.0 ± 3.3 years and ranged from 4 to 6 years during winter and 8–10 years during summer. The annual VW MTTs averaged 5.6 ± 2.0 years and ranged from ~5 years during wet years (2003 and 2005) to >10 years during dry years (2002 and 2008). Stormflows are composed of much younger water than baseflows, and although stormflow only occurs ~17 % of the time, this runoff fraction contributed 39 % of the runoff during the 23-year study period. Combining the 23-year VW MTT (including stormflow) with the annual average baseflow for the period (~212 mm) indicates that active groundwater storage is ~1,000 mm. However, the groundwater storage ranged from 1,040 to 1,950 mm using WY baseflow and WY VW MTT. The approach described herein may be applicable to other watersheds underlain by granitoid bedrock, where weathering is the dominant control on Si concentrations in soils, groundwater, and streamwater.

","language":"English","publisher":"Springer","doi":"10.1007/s10498-013-9207-6","usgsCitation":"Peters, N.E., Burns, D.A., and Aulenbach, B.T., 2014, Evaluation of high-frequency mean streamwater transit-time estimates using groundwater age and dissolved silica concentrations in a small forested watershed: Aquatic Geochemistry, v. 20, no. 2-3, p. 183-202, https://doi.org/10.1007/s10498-013-9207-6.","productDescription":"20 p.","startPage":"183","endPage":"202","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049194","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":299226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Panola Mountain Research Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.19424057006836,\n 33.60804305794581\n ],\n [\n -84.19424057006836,\n 33.65149408962454\n ],\n [\n -84.12694931030273,\n 33.65149408962454\n ],\n [\n -84.12694931030273,\n 33.60804305794581\n ],\n [\n -84.19424057006836,\n 33.60804305794581\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"2-3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-11-16","publicationStatus":"PW","scienceBaseUri":"551bc52be4b0323842783a47","contributors":{"authors":[{"text":"Peters, Norman E. nepeters@usgs.gov","contributorId":1324,"corporation":false,"usgs":true,"family":"Peters","given":"Norman","email":"nepeters@usgs.gov","middleInitial":"E.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aulenbach, Brent T. 0000-0003-2863-1288 btaulenb@usgs.gov","orcid":"https://orcid.org/0000-0003-2863-1288","contributorId":3057,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent","email":"btaulenb@usgs.gov","middleInitial":"T.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543631,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}