Context
Lake size has declined on breeding grounds for international populations of waterfowl.
Objectives
Our objectives were to (1) model the relationship between waterfowl species richness and lake size; (2) use the model and trends in lake size to project historical, contemporary, and future richness at 2500+ lakes; (3) evaluate mechanisms for the species–area relationship (SAR); and (4) identify species most vulnerable to shrinking lakes.
Methods
Monte Carlo simulations of the richness model were used to generate projections. Correlations between richness and both lake size and habitat diversity were compared to identify mechanisms for the SAR. Patterns of nestedness were used to identify vulnerable species.
Results
Species richness was greatest at lakes that were larger, closer to rivers, had more wetlands along their perimeters and were within 5 km of a large lake. Average richness per lake was projected to decline by 11 % from 1986 to 2050 but was heterogeneous across sub-regions and lakes. Richness in sub-regions with species-rich lakes was projected to remain stable, while richness in the sub-region with species-poor lakes was projected to decline. Lake size had a greater effect on richness than did habitat diversity, suggesting that large lakes have more species because they provide more habitat but not more habitat types. The vulnerability of species to shrinking lakes was related to species rarity rather than foraging guild.
Conclusions
Our maps of projected changes in species richness and rank-ordered list of species most vulnerable to shrinking lakes can be used to identify targets for conservation or monitoring.
Factors affecting total organic carbon (TOC) concentrations in 215 watercourses across Sweden were investigated using parameter parsimonious regression approaches to explain spatial and temporal variabilities of the TOC water quality responses. We systematically quantified the effects of discharge, seasonality, and long-term trend as factors controlling intra-annual (among year) and inter-annual (within year) variabilities of TOC by evaluating the spatial variability in model coefficients and catchment characteristics (e.g. land cover, retention time, soil type).
Catchment area (0.18–47,000 km2) and land cover types (forests, agriculture and alpine terrain) are typical for the boreal and hemiboreal zones across Fennoscandia. Watercourses had at least 6 years of monthly water quality observations between 1990 and 2010. Statistically significant models (p < 0.05) describing variation of TOC in streamflow were identified in 209 of 215 watercourses with a mean Nash-Sutcliffe efficiency index of 0.44. Increasing long-term trends were observed in 149 (70%) of the watercourses, and intra-annual variation in TOC far exceeded inter-annual variation. The average influences of the discharge and seasonality terms on intra-annual variations in daily TOC concentration were 1.4 and 1.3 mg l− 1 (13 and 12% of the mean annual TOC), respectively. The average increase in TOC was 0.17 mg l− 1 year− 1 (1.6% year− 1).
Multivariate regression with over 90 different catchment characteristics explained 21% of the spatial variation in the linear trend coefficient, less than 20% of the variation in the discharge coefficient and 73% of the spatial variation in mean TOC. Specific discharge, water residence time, the variance of daily precipitation, and lake area, explained 45% of the spatial variation in the amplitude of the TOC seasonality.
Because the main drivers of temporal variability in TOC are seasonality and discharge, first-order estimates of the influences of climatic variability and change on TOC concentration should be predictable if the studied catchments continue to respond similarly.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2015.03.041","usgsCitation":"Hytteborn, J.K., Temnerud, J., Alexander, R.B., Boyer, E.W., Futter, M.N., Froberg, M., Dahne, J., and Bishop, K.H., 2015, Patterns and predictability in the intra-annual organic carbon variability across the boreal and hemiboreal landscape: Science of the Total Environment, v. 520, p. 260-269, https://doi.org/10.1016/j.scitotenv.2015.03.041.","productDescription":"10 p.","startPage":"260","endPage":"269","ipdsId":"IP-062350","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":349066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"520","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fe80e4b06e28e9c25309","contributors":{"authors":[{"text":"Hytteborn, Julia K.","contributorId":198524,"corporation":false,"usgs":false,"family":"Hytteborn","given":"Julia","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":716323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Temnerud, Johan","contributorId":198525,"corporation":false,"usgs":false,"family":"Temnerud","given":"Johan","email":"","affiliations":[],"preferred":false,"id":716324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander, Richard B. 0000-0001-9166-0626 ralex@usgs.gov","orcid":"https://orcid.org/0000-0001-9166-0626","contributorId":541,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","email":"ralex@usgs.gov","middleInitial":"B.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":716322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyer, Elizabeth W.","contributorId":44659,"corporation":false,"usgs":false,"family":"Boyer","given":"Elizabeth","email":"","middleInitial":"W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":716325,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Futter, Martyn N.","contributorId":198527,"corporation":false,"usgs":false,"family":"Futter","given":"Martyn","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":716326,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Froberg, Mats","contributorId":198528,"corporation":false,"usgs":false,"family":"Froberg","given":"Mats","email":"","affiliations":[],"preferred":false,"id":716327,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dahne, Joel","contributorId":198529,"corporation":false,"usgs":false,"family":"Dahne","given":"Joel","email":"","affiliations":[],"preferred":false,"id":716328,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bishop, Kevin H.","contributorId":198530,"corporation":false,"usgs":false,"family":"Bishop","given":"Kevin","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":716329,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70176119,"text":"70176119 - 2015 - Exposure and food web transfer of pharmaceuticals in ospreys (Pandion haliaetus): Predictive model and empirical data","interactions":[],"lastModifiedDate":"2018-09-04T15:59:22","indexId":"70176119","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Exposure and food web transfer of pharmaceuticals in ospreys (Pandion haliaetus): Predictive model and empirical data","docAbstract":"The osprey (Pandion haliaetus) is a well-known sentinel of environmental contamination, yet no studies have traced pharmaceuticals through the water–fish–osprey food web. A screening-level exposure assessment was used to evaluate the bioaccumulation potential of 113 pharmaceuticals and metabolites, and an artificial sweetener in this food web. Hypothetical concentrations in water reflecting “wastewater effluent dominated” or “dilution dominated” scenarios were combined with pH-specific bioconcentration factors (BCFs) to predict uptake in fish. Residues in fish and osprey food intake rate were used to calculate the daily intake (DI) of compounds by an adult female osprey. Fourteen pharmaceuticals and a drug metabolite with a BCF greater than 100 and a DI greater than 20 µg/kg were identified as being most likely to exceed the adult human therapeutic dose (HTD). These 15 compounds were also evaluated in a 40 day cumulative dose exposure scenario using first-order kinetics to account for uptake and elimination. Assuming comparable absorption to humans, the half-lives (t1/2) for an adult osprey to reach the HTD within 40 days were calculated. For 3 of these pharmaceuticals, the estimated t1/2 in ospreys was less than that for humans, and thus an osprey might theoretically reach or exceed the HTD in 3 to 7 days. To complement the exposure model, 24 compounds were quantified in water, fish plasma, and osprey nestling plasma from 7 potentially impaired locations in Chesapeake Bay. Of the 18 analytes detected in water, 8 were found in fish plasma, but only 1 in osprey plasma (the antihypertensive diltiazem). Compared to diltiazem detection rate and concentrations in water (10/12 detects, <method detection limits [MDL]–173 ng/L), there was a lower detection frequency in fish (31/233 detects, <MDL–2400 ng/L); however when present in fish, all values exceeded the maximum diltiazem concentration found in water. Diltiazem was found in all 69 osprey plasma samples (540–8630 ng/L), with 41% of these samples exceeding maximum concentrations found in fish. Diltiazem levels in fish and osprey plasma were below the human therapeutic plasma concentration (30 000 ng/L). Effect thresholds for diltiazem are unknown in ospreys at this time, and there is no evidence to suggest adverse effects. This screening-level exposure model can help identify those compounds that warrant further investigation in high-trophic level species.
","language":"English","publisher":"Wiley","doi":"10.1002/ieam.1570","usgsCitation":"Lazarus, R.S., Rattner, B.A., Du, B., McGowan, P.C., Blazer, V., and Ottinger, M.A., 2015, Exposure and food web transfer of pharmaceuticals in ospreys (Pandion haliaetus): Predictive model and empirical data: Integrated Environmental Assessment and Management, v. 11, no. 1, p. 118-129, https://doi.org/10.1002/ieam.1570.","productDescription":"12 p.","startPage":"118","endPage":"129","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057952","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":327898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-08-01","publicationStatus":"PW","scienceBaseUri":"57c16836e4b0f2f0ceb907db","contributors":{"authors":[{"text":"Lazarus, Rebecca S. 0000-0003-1731-6469 rlazarus@usgs.gov","orcid":"https://orcid.org/0000-0003-1731-6469","contributorId":5594,"corporation":false,"usgs":true,"family":"Lazarus","given":"Rebecca","email":"rlazarus@usgs.gov","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":647180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":647181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Du, Bowen","contributorId":149285,"corporation":false,"usgs":false,"family":"Du","given":"Bowen","email":"","affiliations":[{"id":16605,"text":"Department of Environmental Science and the Center for Reservoir and Aquatic Systems Research (CRASR), Baylor University, Waco, TX","active":true,"usgs":false}],"preferred":false,"id":647182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGowan, Peter C.","contributorId":13867,"corporation":false,"usgs":false,"family":"McGowan","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":647183,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":647184,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ottinger, Mary Ann","contributorId":26422,"corporation":false,"usgs":false,"family":"Ottinger","given":"Mary","email":"","middleInitial":"Ann","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":647185,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173499,"text":"70173499 - 2015 - Is income breeding an appropriate construct for waterfowl?","interactions":[],"lastModifiedDate":"2017-12-27T11:51:27","indexId":"70173499","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2409,"text":"Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Is income breeding an appropriate construct for waterfowl?","docAbstract":"Breeding birds use a range of nutrient accumulation and allocation strategies to meet the nutritional demands of clutch formation and incubation. On one end of the spectrum, capital breeders use stored nutrients acquired prior to clutch formation and incubation to sustain metabolism during reproduction, while on the opposite end, income breeders derive nutrients solely from exogenous sources on the breeding grounds. Blue-winged Teal (Anas discors) are an ideal candidate to test for adoption of an income strategy among migratory waterfowl because of their small body size, temperate breeding range, and timing of reproduction relative to pulses in nutrient availability within breeding habitats. We collected migrating and pre-breeding Blue-winged Teal (n = 110) during the warmest spring in over a century in the southern edge of the species’ breeding range, which produced ideal conditions to test for adoption of an income breeding strategy among migratory waterfowl. Regression analyses revealed that females accumulated protein and fat reserves early in follicle development and appeared to mobilize at least some reserves coincident with the onset of clutch formation. Accumulation and subsequent mobilization of nutrient reserves was inconsistent with adherence to an income breeding strategy and suggested breeding Blue-winged Teal used capital (albeit locally acquired) for reproduction. Our results add to existing knowledge on the ubiquity of endogenous nutrient reserve accumulation prior to and during reproduction by waterfowl, perhaps suggesting endogenous nutrient reserves are universally used for clutch formation or incubation to some degree. If indeed Blue-winged Teal and other waterfowl universally use capital for breeding, research and conservation efforts should shift from evaluating whether an income breeding strategy is used and focus on when and where necessary capital is acquired prior to clutch formation.
","language":"English","publisher":"Springer Berlin Heidelberg","doi":"10.1007/s10336-015-1200-y","usgsCitation":"Janke, A.K., Anteau, M.J., Markl, N., and Stafford, J.D., 2015, Is income breeding an appropriate construct for waterfowl?: Journal of Ornithology, v. 165, no. 3, p. 755-762, https://doi.org/10.1007/s10336-015-1200-y.","productDescription":"8 p.","startPage":"755","endPage":"762","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058552","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":323424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"165","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-14","publicationStatus":"PW","scienceBaseUri":"575a9333e4b04f417c27515c","contributors":{"authors":[{"text":"Janke, Adam K. 0000-0003-2781-7857","orcid":"https://orcid.org/0000-0003-2781-7857","contributorId":130959,"corporation":false,"usgs":false,"family":"Janke","given":"Adam","email":"","middleInitial":"K.","affiliations":[{"id":7176,"text":"Dept of Natl Res Mgmt, SDSU, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":638321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":638322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Markl, Nicholas","contributorId":171697,"corporation":false,"usgs":false,"family":"Markl","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":638323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stafford, Joshua D. jstafford@usgs.gov","contributorId":4267,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637201,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173444,"text":"70173444 - 2015 - Building a multi-scaled geospatial temporal ecology database from disparate data sources: Fostering open science through data reuse","interactions":[],"lastModifiedDate":"2016-06-20T14:07:39","indexId":"70173444","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5091,"text":"GigaScience","active":true,"publicationSubtype":{"id":10}},"title":"Building a multi-scaled geospatial temporal ecology database from disparate data sources: Fostering open science through data reuse","docAbstract":"Although there are considerable site-based data for individual or groups of ecosystems, these datasets are widely scattered, have different data formats and conventions, and often have limited accessibility. At the broader scale, national datasets exist for a large number of geospatial features of land, water, and air that are needed to fully understand variation among these ecosystems. However, such datasets originate from different sources and have different spatial and temporal resolutions. By taking an open-science perspective and by combining site-based ecosystem datasets and national geospatial datasets, science gains the ability to ask important research questions related to grand environmental challenges that operate at broad scales. Documentation of such complicated database integration efforts, through peer-reviewed papers, is recommended to foster reproducibility and future use of the integrated database. Here, we describe the major steps, challenges, and considerations in building an integrated database of lake ecosystems, called LAGOS (LAke multi-scaled GeOSpatial and temporal database), that was developed at the sub-continental study extent of 17 US states (1,800,000 km2). LAGOS includes two modules: LAGOSGEO, with geospatial data on every lake with surface area larger than 4 ha in the study extent (~50,000 lakes), including climate, atmospheric deposition, land use/cover, hydrology, geology, and topography measured across a range of spatial and temporal extents; and LAGOSLIMNO, with lake water quality data compiled from ~100 individual datasets for a subset of lakes in the study extent (~10,000 lakes). Procedures for the integration of datasets included: creating a flexible database design; authoring and integrating metadata; documenting data provenance; quantifying spatial measures of geographic data; quality-controlling integrated and derived data; and extensively documenting the database. Our procedures make a large, complex, and integrated database reproducible and extensible, allowing users to ask new research questions with the existing database or through the addition of new data. The largest challenge of this task was the heterogeneity of the data, formats, and metadata. Many steps of data integration need manual input from experts in diverse fields, requiring close collaboration.
","language":"English","publisher":"BioMed Central","doi":"10.1186/s13742-015-0067-4","usgsCitation":"Soranno, P.A., Bissell, E., Cheruvelil, K.S., Christel, S.T., Collins, S.M., Fergus, C.E., Filstrup, C.T., Lapierre, J., Lotting, N.R., Oliver, S., Scott, C.E., Smith, N.J., Stopyak, S., Yuan, S., Bremigan, M.T., Downing, J., Gries, C., Henry, E.N., Skaff, N.K., Stanley, E.H., Stow, C., Tan, P., Wagner, T., and Webster, K.E., 2015, Building a multi-scaled geospatial temporal ecology database from disparate data sources: Fostering open science through data reuse: GigaScience, v. 4, no. 28, https://doi.org/10.1186/s13742-015-0067-4.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-062339","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471979,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13742-015-0067-4","text":"Publisher Index Page"},{"id":324012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, Illinois, Indiana, Iowa, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Hampshire, New Jersey, New York, Ohio, Pennsylvania, Rhode Island, Vermont, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.3388671875,\n 49.35375571830993\n ],\n [\n -94.7900390625,\n 36.421282443649496\n ],\n [\n -89.296875,\n 35.99578538642032\n ],\n [\n -88.330078125,\n 37.19533058280065\n ],\n [\n -87.3193359375,\n 37.64903402157866\n ],\n [\n -84.5947265625,\n 38.71980474264239\n ],\n [\n -82.6171875,\n 38.272688535980976\n ],\n [\n -80.6396484375,\n 39.707186656826565\n ],\n [\n -75.9375,\n 39.774769485295465\n ],\n [\n -74.8388671875,\n 38.8225909761771\n ],\n [\n -67.1044921875,\n 43.73935207915473\n ],\n [\n -66.357421875,\n 45.398449976304086\n ],\n [\n -68.15917968749999,\n 47.90161354142077\n ],\n [\n -77.7392578125,\n 45.85941212790755\n ],\n [\n -86.220703125,\n 49.410973199695846\n ],\n [\n -97.3388671875,\n 49.35375571830993\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"28","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-01","publicationStatus":"PW","scienceBaseUri":"576913b1e4b07657d19fefae","contributors":{"authors":[{"text":"Soranno, Patricia A.","contributorId":172104,"corporation":false,"usgs":false,"family":"Soranno","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bissell, E.G.","contributorId":88823,"corporation":false,"usgs":true,"family":"Bissell","given":"E.G.","email":"","affiliations":[],"preferred":false,"id":639829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheruvelil, Kendra S.","contributorId":172029,"corporation":false,"usgs":false,"family":"Cheruvelil","given":"Kendra","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":639830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christel, Samuel T.","contributorId":169272,"corporation":false,"usgs":false,"family":"Christel","given":"Samuel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":639831,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collins, Sarah M.","contributorId":172181,"corporation":false,"usgs":false,"family":"Collins","given":"Sarah","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":639832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fergus, C. 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2015 - Sea level and turbidity controls on mangrove soil surface elevation change","interactions":[],"lastModifiedDate":"2017-05-03T13:32:27","indexId":"70175563","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Sea level and turbidity controls on mangrove soil surface elevation change","docAbstract":"Increases in sea level are a threat to seaward fringing mangrove forests if levels of inundation exceed the physiological tolerance of the trees; however, tidal wetlands can keep pace with sea level rise if soil surface elevations can increase at the same pace as sea level rise. Sediment accretion on the soil surface and belowground production of roots are proposed to increase with increasing sea level, enabling intertidal habitats to maintain their position relative to mean sea level, but there are few tests of these predictions in mangrove forests. Here we used variation in sea level and the availability of sediments caused by seasonal and inter-annual variation in the intensity of La Nina-El Nino to assess the effects of increasing sea level on surface elevation gains and contributing processes (accretion on the surface, subsidence and root growth) in mangrove forests. We found that soil surface elevation increased with mean sea level (which varied over 250 mm during the study) and with turbidity at sites where fine sediment in the water column is abundant. In contrast, where sediments were sandy, rates of surface elevation gain were high, but not significantly related to variation in turbidity, and were likely to be influenced by other factors that deliver sand to the mangrove forest. Root growth was not linked to soil surface elevation gains, although it was associated with reduced shallow subsidence, and therefore may contribute to the capacity of mangroves to keep pace with sea level rise. Our results indicate both surface (sedimentation) and subsurface (root growth) processes can influence mangrove capacity to keep pace with sea level rise within the same geographic location, and that current models of tidal marsh responses to sea level rise capture the major feature of the response of mangroves where fine, but not coarse, sediments are abundant.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2014.11.026","usgsCitation":"Lovelock, C.E., Fernanda Adame, M., Bennion, V., Hayes, M., Reef, R., Santini, N., and Cahoon, D.R., 2015, Sea level and turbidity controls on mangrove soil surface elevation change: Estuarine, Coastal and Shelf Science, v. 153, p. 1-9, https://doi.org/10.1016/j.ecss.2014.11.026.","productDescription":"9 p.","startPage":"1","endPage":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059638","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":326619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"153","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57b58b58e4b03bcb0104bc64","contributors":{"authors":[{"text":"Lovelock, Catherine E.","contributorId":64787,"corporation":false,"usgs":true,"family":"Lovelock","given":"Catherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":645715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fernanda Adame, Maria","contributorId":131125,"corporation":false,"usgs":false,"family":"Fernanda Adame","given":"Maria","email":"","affiliations":[],"preferred":false,"id":645716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennion, Vicki","contributorId":12174,"corporation":false,"usgs":true,"family":"Bennion","given":"Vicki","email":"","affiliations":[],"preferred":false,"id":645717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Matthew","contributorId":173749,"corporation":false,"usgs":false,"family":"Hayes","given":"Matthew","affiliations":[],"preferred":false,"id":645718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reef, Ruth","contributorId":44826,"corporation":false,"usgs":true,"family":"Reef","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":645719,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Santini, Nadia","contributorId":131126,"corporation":false,"usgs":false,"family":"Santini","given":"Nadia","email":"","affiliations":[],"preferred":false,"id":645720,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":645721,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70162083,"text":"70162083 - 2015 - Predicting redox conditions in groundwater at a regional scale","interactions":[],"lastModifiedDate":"2016-03-07T12:03:19","indexId":"70162083","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","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":"Predicting redox conditions in groundwater at a regional scale","docAbstract":"Defining the oxic-suboxic interface is often critical for determining pathways for nitrate transport in groundwater and to streams at the local scale. Defining this interface on a regional scale is complicated by the spatial variability of reaction rates. The probability of oxic groundwater in the Chesapeake Bay watershed was predicted by relating dissolved O2 concentrations in groundwater samples to indicators of residence time and/or electron donor availability using logistic regression. Variables that describe surficial geology, position in the flow system, and soil drainage were important predictors of oxic water. The probability of encountering oxic groundwater at a 30 m depth and the depth to the bottom of the oxic layer were predicted for the Chesapeake Bay watershed. The influence of depth to the bottom of the oxic layer on stream nitrate concentrations and time lags (i.e., time period between land application of nitrogen and its effect on streams) are illustrated using model simulations for hypothetical basins. Regional maps of the probability of oxic groundwater should prove useful as indicators of groundwater susceptibility and stream susceptibility to contaminant sources derived from groundwater.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5b01869","usgsCitation":"Tesoriero, A., Terziotti, S., and Abrams, D.B., 2015, Predicting redox conditions in groundwater at a regional scale: Environmental Science & Technology, v. 49, no. 16, p. 9657-9664, https://doi.org/10.1021/acs.est.5b01869.","productDescription":"8 p.","startPage":"9657","endPage":"9664","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064245","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":438691,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78C9TC5","text":"USGS data release","linkHelpText":"Depth to 50 percent probability of oxic conditions, Chesapeake Bay Watershed"},{"id":314322,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, New York, Pennsylvania, Virginia","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.0693359375,\n 36.8092847020594\n ],\n [\n -76.66259765625,\n 36.914764288955936\n ],\n [\n -77.431640625,\n 37.020098201368114\n ],\n [\n -79.21142578125,\n 37.19533058280065\n ],\n [\n -80.09033203125,\n 37.33522435930641\n ],\n [\n -80.7275390625,\n 37.42252593456307\n ],\n [\n -80.26611328125,\n 37.54457732085582\n ],\n [\n -80.0244140625,\n 38.03078569382294\n ],\n [\n -79.65087890624999,\n 38.5825261593533\n ],\n [\n -79.2333984375,\n 38.444984668894705\n ],\n [\n -79.453125,\n 39.30029918615029\n ],\n [\n -78.79394531249999,\n 39.67337039176558\n ],\n [\n -78.42041015625,\n 40.48038142908172\n ],\n [\n -78.134765625,\n 41.32732632036622\n ],\n [\n -77.49755859375,\n 42.04929263868686\n ],\n [\n -77.3876953125,\n 42.42345651793833\n ],\n [\n -77.431640625,\n 42.89206418807337\n ],\n [\n -76.66259765625,\n 43.068887774169625\n ],\n [\n -76.09130859375,\n 42.924251753870685\n ],\n [\n -74.99267578125,\n 42.87596410238254\n ],\n [\n -74.70703125,\n 43.29320031385282\n ],\n [\n -73.8720703125,\n 43.42100882994726\n ],\n [\n -73.828125,\n 42.71473218539458\n ],\n [\n -74.68505859374999,\n 42.16340342422401\n ],\n [\n -75.21240234375,\n 41.820455096140314\n ],\n [\n -75.498046875,\n 41.52502957323801\n ],\n [\n -75.498046875,\n 41.3108238809182\n ],\n [\n -75.87158203125,\n 40.713955826286046\n ],\n [\n -76.552734375,\n 40.49709237269567\n ],\n [\n -76.552734375,\n 40.094882122321174\n ],\n [\n -76.1572265625,\n 39.707186656826565\n ],\n [\n -75.87158203125,\n 39.06184913429154\n ],\n [\n -75.56396484375,\n 38.47939467327645\n ],\n [\n -75.3662109375,\n 38.09998264736481\n ],\n [\n -75.82763671875,\n 37.579412513438385\n ],\n [\n -76.0693359375,\n 36.8092847020594\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"16","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-31","publicationStatus":"PW","scienceBaseUri":"5698d4d0e4b0fbd3f7fa4c5a","chorus":{"doi":"10.1021/acs.est.5b01869","url":"http://dx.doi.org/10.1021/acs.est.5b01869","publisher":"American Chemical Society (ACS)","authors":"Tesoriero Anthony J., Terziotti Silvia, Abrams Daniel B.","journalName":"Environmental Science & Technology","publicationDate":"8/18/2015"},"contributors":{"authors":[{"text":"Tesoriero, Anthony J.","contributorId":40207,"corporation":false,"usgs":true,"family":"Tesoriero","given":"Anthony J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":588481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terziotti, Silvia 0000-0003-3559-5844 seterzio@usgs.gov","orcid":"https://orcid.org/0000-0003-3559-5844","contributorId":1613,"corporation":false,"usgs":true,"family":"Terziotti","given":"Silvia","email":"seterzio@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":588482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abrams, Daniel B.","contributorId":45985,"corporation":false,"usgs":true,"family":"Abrams","given":"Daniel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":588483,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187424,"text":"70187424 - 2015 - Early Holocene Great Salt Lake","interactions":[],"lastModifiedDate":"2017-05-02T14:51:22","indexId":"70187424","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Early Holocene Great Salt Lake","docAbstract":"Shorelines and surficial deposits (including buried forest-floor mats and organic-rich wetland sediments) show that Great Salt Lake did not rise higher than modern lake levels during the earliest Holocene (11.5–10.2 cal ka BP; 10–9 14C ka BP). During that period, finely laminated, organic-rich muds (sapropel) containing brine-shrimp cysts and pellets and interbedded sodium-sulfate salts were deposited on the lake floor. Sapropel deposition was probably caused by stratification of the water column — a freshwater cap possibly was formed by groundwater, which had been stored in upland aquifers during the immediately preceding late-Pleistocene deep-lake cycle (Lake Bonneville), and was actively discharging on the basin floor. A climate characterized by low precipitation and runoff, combined with local areas of groundwater discharge in piedmont settings, could explain the apparent conflict between evidence for a shallow lake (a dry climate) and previously published interpretations for a moist climate in the Great Salt Lake basin of the eastern Great Basin.
","language":"English","publisher":"Cambridge University Press","doi":"10.1016/j.yqres.2015.05.001","usgsCitation":"Oviatt, C., Madsen, D.B., Miller, D., Thompson, R.S., and McGeehin, J.P., 2015, Early Holocene Great Salt Lake: Quaternary Research, v. 84, no. 1, p. 57-68, https://doi.org/10.1016/j.yqres.2015.05.001.","productDescription":"12 p.","startPage":"57","endPage":"68","ipdsId":"IP-064151","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":340752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.20037841796875,\n 40.60978237983301\n ],\n [\n -111.8023681640625,\n 40.60978237983301\n ],\n [\n -111.8023681640625,\n 41.73033005046653\n ],\n [\n -113.20037841796875,\n 41.73033005046653\n ],\n [\n -113.20037841796875,\n 40.60978237983301\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"84","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"59099aafe4b0fc4e449157f8","contributors":{"authors":[{"text":"Oviatt, Charles G.","contributorId":13503,"corporation":false,"usgs":true,"family":"Oviatt","given":"Charles G.","affiliations":[],"preferred":false,"id":694001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madsen, David B.","contributorId":191727,"corporation":false,"usgs":false,"family":"Madsen","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":694002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":694000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Robert S. 0000-0001-9287-2954 rthompson@usgs.gov","orcid":"https://orcid.org/0000-0001-9287-2954","contributorId":891,"corporation":false,"usgs":true,"family":"Thompson","given":"Robert","email":"rthompson@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":694003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGeehin, John P. 0000-0002-5320-6091 mcgeehin@usgs.gov","orcid":"https://orcid.org/0000-0002-5320-6091","contributorId":130967,"corporation":false,"usgs":true,"family":"McGeehin","given":"John","email":"mcgeehin@usgs.gov","middleInitial":"P.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":694004,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70187119,"text":"70187119 - 2015 - Tracing the cycling and fate of the explosive 2,4,6-trinitrotoluene in coastal marine systems with a stable isotopic tracer, 15N-[TNT]","interactions":[],"lastModifiedDate":"2018-09-04T16:01:59","indexId":"70187119","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","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}},"displayTitle":"Tracing the cycling and fate of the explosive 2,4,6-trinitrotoluene in coastal marine systems with a stable isotopic tracer, 15N-[TNT]","title":"Tracing the cycling and fate of the explosive 2,4,6-trinitrotoluene in coastal marine systems with a stable isotopic tracer, 15N-[TNT]","docAbstract":"2,4,6-Trinitrotoluene (TNT) has been used as a military explosive for over a hundred years. Contamination concerns have arisen as a result of manufacturing and use on a large scale; however, despite decades of work addressing TNT contamination in the environment, its fate in marine ecosystems is not fully resolved. Here we examine the cycling and fate of TNT in the coastal marine systems by spiking a marine mesocosm containing seawater, sediments, and macrobiota with isotopically labeled TNT (15N-[TNT]), simultaneously monitoring removal, transformation, mineralization, sorption, and biological uptake over a period of 16 days. TNT degradation was rapid, and we observed accumulation of reduced transformation products dissolved in the water column and in pore waters, sorbed to sediments and suspended particulate matter (SPM), and in the tissues of macrobiota. Bulk δ15N analysis of sediments, SPM, and tissues revealed large quantities of 15N beyond that accounted for in identifiable derivatives. TNT-derived N was also found in the dissolved inorganic N (DIN) pool. Using multivariate statistical analysis and a 15N mass balance approach, we identify the major transformation pathways of TNT, including the deamination of reduced TNT derivatives, potentially promoted by sorption to SPM and oxic surface sediments.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5b02907","usgsCitation":"Smith, R.W., Vlahos, P., Bohlke, J., Ariyarathna, T., Ballentine, M., Cooper, C., Fallis, S., Groshens, T.J., and Tobias, C.R., 2015, Tracing the cycling and fate of the explosive 2,4,6-trinitrotoluene in coastal marine systems with a stable isotopic tracer, 15N-[TNT]: Environmental Science & Technology, v. 49, no. 20, p. 12223-12231, https://doi.org/10.1021/acs.est.5b02907.","productDescription":"9 p.","startPage":"12223","endPage":"12231","ipdsId":"IP-068873","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":340172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"20","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-05","publicationStatus":"PW","scienceBaseUri":"58ff0ea3e4b006455f2d61e0","contributors":{"authors":[{"text":"Smith, Richard W.","contributorId":191276,"corporation":false,"usgs":false,"family":"Smith","given":"Richard","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":692569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vlahos, Penny","contributorId":191277,"corporation":false,"usgs":false,"family":"Vlahos","given":"Penny","email":"","affiliations":[],"preferred":false,"id":692570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":692568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ariyarathna, Thivanka","contributorId":191278,"corporation":false,"usgs":false,"family":"Ariyarathna","given":"Thivanka","email":"","affiliations":[],"preferred":false,"id":692571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ballentine, Mark","contributorId":191279,"corporation":false,"usgs":false,"family":"Ballentine","given":"Mark","email":"","affiliations":[],"preferred":false,"id":692572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cooper, Christopher","contributorId":191280,"corporation":false,"usgs":false,"family":"Cooper","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":692573,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fallis, Stephen","contributorId":191281,"corporation":false,"usgs":false,"family":"Fallis","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":692574,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Groshens, Thomas J.","contributorId":191282,"corporation":false,"usgs":false,"family":"Groshens","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":692575,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tobias, Craig R.","contributorId":191283,"corporation":false,"usgs":false,"family":"Tobias","given":"Craig","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":692576,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70177800,"text":"70177800 - 2015 - Use of dynamic occupancy models to assess the response of Darters (Teleostei: Percidae) to varying hydrothermal conditions in a southeastern United States tailwater","interactions":[],"lastModifiedDate":"2016-10-21T15:00:24","indexId":"70177800","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Use of dynamic occupancy models to assess the response of Darters (Teleostei: Percidae) to varying hydrothermal conditions in a southeastern United States tailwater","docAbstract":"During the past 100 years, most large rivers in North America have been altered for flood control, hydropower, navigation or water supply development. Although these activities clearly provide important human services, their associated environmental disturbances can profoundly affect stream-dwelling organisms. We used dynamic multi-species occupancy models combined with a trait-based approach to estimate the influence of site-level and species-level characteristics on patch dynamic rates for 15 darter species native to the Elk River, a large, flow-regulated Tennessee River tributary in Tennessee and Alabama. Dynamic occupancy modelling results indicated that for every 2.5 °C increase in stream temperature, darters were 3.94 times more likely to colonize previously unoccupied stream reaches. Additionally, large-bodied darter species were 3.72 times more likely to colonize stream reaches compared with small-bodied species, but crevice-spawning darter species were 5.24 times less likely to colonize previously unoccupied stream reaches. In contrast, darters were 2.21 times less likely to become locally extinct for every 2.5 °C increase in stream temperature, but high stream discharge conditions elevated the risk of local extinction. Lastly, the presence of populations in neighbouring upstream study reaches contributed to a lower risk of extinction, whereas the presence of populations in neighbouring downstream study reaches contributed to higher rates of colonization. Our study demonstrates the application of a trait-based approach combined with a metapopulation framework to assess the patch dynamics of darters in a regulated river. Results from our study will provide a baseline for evaluating the ecological consequences of alternative dam operations.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.2766","usgsCitation":"Shea, C., Bettoli, P.W., Potoka, K., Saylor, C.F., and Shute, P.W., 2015, Use of dynamic occupancy models to assess the response of Darters (Teleostei: Percidae) to varying hydrothermal conditions in a southeastern United States tailwater: River Research and Applications, v. 31, no. 6, p. 676-691, https://doi.org/10.1002/rra.2766.","productDescription":"16 p.","startPage":"676","endPage":"691","ipdsId":"IP-043451","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":330325,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-13","publicationStatus":"PW","scienceBaseUri":"5810c6e9e4b0f497e797345b","chorus":{"doi":"10.1002/rra.2766","url":"http://dx.doi.org/10.1002/rra.2766","publisher":"Wiley-Blackwell","authors":"Shea C. P., Bettoli P. W., Potoka K. M., Saylor C. F., Shute P. W.","journalName":"River Research and Applications","publicationDate":"5/13/2014","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Shea, C.P.","contributorId":92885,"corporation":false,"usgs":true,"family":"Shea","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":651833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bettoli, Phillip William pbettoli@usgs.gov","contributorId":1919,"corporation":false,"usgs":true,"family":"Bettoli","given":"Phillip","email":"pbettoli@usgs.gov","middleInitial":"William","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":651823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Potoka, K. M.","contributorId":176185,"corporation":false,"usgs":false,"family":"Potoka","given":"K. M.","affiliations":[],"preferred":false,"id":651834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saylor, C. F.","contributorId":176186,"corporation":false,"usgs":false,"family":"Saylor","given":"C.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":651835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shute, P. W.","contributorId":176187,"corporation":false,"usgs":false,"family":"Shute","given":"P.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":651836,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70182519,"text":"70182519 - 2015 - Topographic, latitudinal and climatic distribution of Pinus coulteri: geographic range limits are not at the edge of the climate envelope","interactions":[],"lastModifiedDate":"2017-02-24T09:49:29","indexId":"70182519","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Topographic, latitudinal and climatic distribution of Pinus coulteri: geographic range limits are not at the edge of the climate envelope","docAbstract":"With changing climate, many species are projected to move poleward or to higher elevations to track suitable climates. The prediction that species will move poleward assumes that geographically marginal populations are at the edge of the species' climatic range. We studied Pinus coulteri from the center to the northern (poleward) edge of its range, and examined three scenarios regarding the relationship between the geographic and climatic margins of a species' range. We used herbarium and iNaturalist.org records to identify P. coulteri sites, generated a species distribution model based on temperature, precipitation, climatic water deficit, and actual evapotranspiration, and projected suitability under future climate scenarios. In fourteen populations from the central to northern portions of the range, we conducted field studies and recorded elevation, slope and aspect (to estimate solar insolation) to examine relationships between local and regional distributions. We found that northern populations of P. coulteri do not occupy the cold or wet edge of the species' climatic range; mid-latitude, high elevation populations occupy the cold margin. Aspect and insolation of P. coulteri populations changed significantly across latitudes and elevations. Unexpectedly, northern, low-elevation stands occupy north-facing aspects and receive low insolation, while central, high-elevation stands grow on more south-facing aspects that receive higher insolation. Modeled future climate suitability is projected to be highest in the central, high elevation portion of the species range, and in low-lying coastal regions under some scenarios, with declining suitability in northern areas under most future scenarios. For P. coulteri, the lack of high elevation habitat combined with a major dispersal barrier may limit northward movement in response to a warming climate. Our analyses demonstrate the importance of distinguishing geographically vs. climatically marginal populations, and the importance of quantitative analysis of the realized climate space to understand species range limits.
","language":"English","publisher":"Wiley","doi":"10.1111/ecog.00780","usgsCitation":"Chardon, N.I., Cornwell, W.K., Flint, L.E., Flint, A.L., and Ackerly, D.D., 2015, Topographic, latitudinal and climatic distribution of Pinus coulteri: geographic range limits are not at the edge of the climate envelope: Ecography, v. 38, no. 6, p. 590-601, https://doi.org/10.1111/ecog.00780.","productDescription":"12 p.","startPage":"590","endPage":"601","ipdsId":"IP-058205","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":488831,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/37n229br","text":"External Repository"},{"id":336168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-18","publicationStatus":"PW","scienceBaseUri":"58b15439e4b01ccd54fc5ea1","contributors":{"authors":[{"text":"Chardon, Nathalie I.","contributorId":182415,"corporation":false,"usgs":false,"family":"Chardon","given":"Nathalie","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":671388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cornwell, William K.","contributorId":182416,"corporation":false,"usgs":false,"family":"Cornwell","given":"William","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":671389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":671387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":671390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackerly, David D.","contributorId":182417,"corporation":false,"usgs":false,"family":"Ackerly","given":"David","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":671391,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70180313,"text":"70180313 - 2015 - Enhanced microbial coalbed methane generation: A review of research, commercial activity, and remaining challenges","interactions":[],"lastModifiedDate":"2017-04-25T16:41:06","indexId":"70180313","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Enhanced microbial coalbed methane generation: A review of research, commercial activity, and remaining challenges","docAbstract":"Coalbed methane (CBM) makes up a significant portion of the world’s natural gas resources. The discovery that approximately 20% of natural gas is microbial in origin has led to interest in microbially enhanced CBM (MECoM), which involves stimulating microorganisms to produce additional CBM from existing production wells. This paper reviews current laboratory and field research on understanding processes and reservoir conditions which are essential for microbial CBM generation, the progress of efforts to stimulate microbial methane generation in coal beds, and key remaining knowledge gaps. Research has been primarily focused on identifying microbial communities present in areas of CBM generation and attempting to determine their function, in-situ reservoir conditions that are most favorable for microbial CBM generation, and geochemical indicators of metabolic pathways of methanogenesis (i.e., acetoclastic or hydrogenotrophic methanogenesis). Meanwhile, researchers at universities, government agencies, and companies have focused on four primary MECoM strategies: 1) microbial stimulation (i.e., addition of nutrients to stimulate native microbes); 2) microbial augmentation (i.e., addition of microbes not native to or abundant in the reservoir of interest); 3) physically increasing microbial access to coal and distribution of amendments; and 4) chemically increasing the bioavailability of coal organics. Most companies interested in MECoM have pursued microbial stimulation: Luca Technologies, Inc., successfully completed a pilot scale field test of their stimulation strategy, while two others, Ciris Energy and Next Fuel, Inc., have undertaken smaller scale field tests. Several key knowledge gaps remain that need to be addressed before MECoM strategies can be implemented commercially. Little is known about the bacterial community responsible for coal biodegradation and how these microorganisms may be stimulated to enhance microbial methanogenesis. In addition, research is needed to understand what fraction of coal is available for biodegradation, and methods need to be developed to determine the extent of in-situ coal biodegradation by MECoM processes for monitoring changes to coal quality. Questions also remain about how well field-scale pilot tests will scale to commercial production, how often amendments will need to be added to maintain new methane generation, and how well MECoM strategies transfer between coal basins with different formation water geochemistries and coal ranks. Addressing these knowledge gaps will be key in determining the feasibility and commercial viability of MECoM technology.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2015.04.013","usgsCitation":"Ritter, D.J., Vinson, D.S., Barnhart, E.P., Akob, D.M., Fields, M.W., Cunningham, A.B., Orem, W.H., and McIntosh, J.C., 2015, Enhanced microbial coalbed methane generation: A review of research, commercial activity, and remaining challenges: International Journal of Coal Geology, v. 146, p. 28-41, https://doi.org/10.1016/j.coal.2015.04.013.","productDescription":"14 p.","startPage":"28","endPage":"41","ipdsId":"IP-065234","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":471974,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/11535","text":"External Repository"},{"id":334138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"588c6a8ee4b08c8121c9090a","contributors":{"authors":[{"text":"Ritter, Daniel J.","contributorId":139869,"corporation":false,"usgs":false,"family":"Ritter","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":13301,"text":"Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona","active":true,"usgs":false}],"preferred":false,"id":661188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vinson, David S.","contributorId":172390,"corporation":false,"usgs":false,"family":"Vinson","given":"David","email":"","middleInitial":"S.","affiliations":[{"id":25392,"text":"Department of Geography and Earth Science, University of North Carolina at Charlotte, North Carolina, USA","active":true,"usgs":false}],"preferred":false,"id":661189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393 epbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":5385,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","email":"epbarnhart@usgs.gov","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":661191,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fields, Matthew W.","contributorId":172391,"corporation":false,"usgs":false,"family":"Fields","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":661192,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cunningham, Al B.","contributorId":178823,"corporation":false,"usgs":false,"family":"Cunningham","given":"Al","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":661193,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":661194,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McIntosh, Jennifer C. 0000-0001-5055-4202","orcid":"https://orcid.org/0000-0001-5055-4202","contributorId":150557,"corporation":false,"usgs":false,"family":"McIntosh","given":"Jennifer","email":"","middleInitial":"C.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":661195,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70182467,"text":"70182467 - 2015 - Tree mortality predicted from drought-induced vascular damage","interactions":[],"lastModifiedDate":"2017-02-23T12:46:12","indexId":"70182467","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Tree mortality predicted from drought-induced vascular damage","docAbstract":"The projected responses of forest ecosystems to warming and drying associated with twenty-first-century climate change vary widely from resiliency to widespread tree mortality1, 2, 3. Current vegetation models lack the ability to account for mortality of overstorey trees during extreme drought owing to uncertainties in mechanisms and thresholds causing mortality4, 5. Here we assess the causes of tree mortality, using field measurements of branch hydraulic conductivity during ongoing mortality in Populus tremuloides in the southwestern United States and a detailed plant hydraulics model. We identify a lethal plant water stress threshold that corresponds with a loss of vascular transport capacity from air entry into the xylem. We then use this hydraulic-based threshold to simulate forest dieback during historical drought, and compare predictions against three independent mortality data sets. The hydraulic threshold predicted with 75% accuracy regional patterns of tree mortality as found in field plots and mortality maps derived from Landsat imagery. In a high-emissions scenario, climate models project that drought stress will exceed the observed mortality threshold in the southwestern United States by the 2050s. Our approach provides a powerful and tractable way of incorporating tree mortality into vegetation models to resolve uncertainty over the fate of forest ecosystems in a changing climate.
","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/NGEO2400","usgsCitation":"Anderegg, W.R., Flint, A.L., Huang, C., Flint, L.E., Berry, J.A., Davis, F., Sperry, J.S., and Field, C.B., 2015, Tree mortality predicted from drought-induced vascular damage: Nature Geoscience, v. 8, p. 367-371, https://doi.org/10.1038/NGEO2400.","productDescription":"5 p.","startPage":"367","endPage":"371","ipdsId":"IP-059538","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":336106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-30","publicationStatus":"PW","scienceBaseUri":"58b002c7e4b01ccd54fb27d1","contributors":{"authors":[{"text":"Anderegg, William R.L.","contributorId":147089,"corporation":false,"usgs":false,"family":"Anderegg","given":"William","email":"","middleInitial":"R.L.","affiliations":[{"id":16784,"text":"Princeton U.","active":true,"usgs":false}],"preferred":false,"id":671207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":671208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Cho-ying","contributorId":182348,"corporation":false,"usgs":false,"family":"Huang","given":"Cho-ying","email":"","affiliations":[],"preferred":false,"id":671209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":671206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berry, Joseph A.","contributorId":182349,"corporation":false,"usgs":false,"family":"Berry","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":671210,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Frank W.","contributorId":127849,"corporation":false,"usgs":false,"family":"Davis","given":"Frank W.","affiliations":[{"id":7168,"text":"UCSB","active":true,"usgs":false}],"preferred":false,"id":671211,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sperry, John S.","contributorId":182350,"corporation":false,"usgs":false,"family":"Sperry","given":"John","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":671212,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Field, Christopher B.","contributorId":182351,"corporation":false,"usgs":false,"family":"Field","given":"Christopher","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":671213,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70182824,"text":"70182824 - 2015 - Paleodischarge of the Mojave River, southwestern U.S.A, investigated with single-pebble measurements of 10Be","interactions":[],"lastModifiedDate":"2017-03-01T13:00:29","indexId":"70182824","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Paleodischarge of the Mojave River, southwestern U.S.A, investigated with single-pebble measurements of 10Be","docAbstract":"The paleohydrology of ephemeral stream systems is an important constraint on paleoclimatic conditions in arid environments, but remains difficult to constrain quantitatively. For example, sedimentary records of the size and extent of pluvial lakes in the Mojave Desert have been used as a proxy for Quaternary climate variability. Although the delivery mechanisms of this additional water are still being debated, it is generally agreed that the discharge of the Mojave River, which supplied water for several Pleistocene pluvial lakes along its course, must have been significantly greater during lake high stands. We used the 10Be concentrations of 10 individual quartzite pebbles sourced from the San Bernardino Mountains and collected from a ~25 ka strath terrace of the Mojave River near Barstow, Calif., to test whether pebble ages record the timing of large paleodischarge of the Mojave River. Our exposure ages indicate that periods of discharge large enough to transport pebble-sized sediment occurred at least four times over the past ~240 ky; individual pebble ages cluster into four groups with exposure ages of 24.82 ± 2.52 ka (n=3), 55.79 ± 2.59 ka (n=2), 99.14 ± 6.04 ka (n=4) and 239.9 ± 52.16 ka (n=1). These inferred large discharge events occurred during both glacial and interglacial conditions. We demonstrate that bedload materials provide information about the frequency and duration of transport events in river systems. This approach could be further improved with the addition of additional measurements of one or more cosmogenic nuclides coupled with models of river discharge and pebble transport.","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01134.1","usgsCitation":"Cyr, A.J., Miller, D., and Mahan, S.A., 2015, Paleodischarge of the Mojave River, southwestern U.S.A, investigated with single-pebble measurements of 10Be: Geosphere, v. 11, no. 4, p. 1158-1171, https://doi.org/10.1130/GES01134.1.","productDescription":"14 p.","startPage":"1158","endPage":"1171","ipdsId":"IP-055448","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":471977,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01134.1","text":"Publisher Index Page"},{"id":336756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-15","publicationStatus":"PW","scienceBaseUri":"58b7eba9e4b01ccd5500bb27","contributors":{"authors":[{"text":"Cyr, Andrew J. 0000-0003-2293-5395 acyr@usgs.gov","orcid":"https://orcid.org/0000-0003-2293-5395","contributorId":3539,"corporation":false,"usgs":true,"family":"Cyr","given":"Andrew","email":"acyr@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":673906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":673907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":673908,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148718,"text":"70148718 - 2015 - Global volcanic hazards and risk","interactions":[],"lastModifiedDate":"2021-02-05T21:22:53.188537","indexId":"70148718","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Global volcanic hazards and risk","docAbstract":"An estimated 800 million people live within 100 km of an active volcano in 86 countries and additional overseas territories worldwide [see Chapter 4 and Appendix B]1. Volcanoes are compelling evidence that the Earth is a dynamic planet characterised by endless change and renewal. Humans have always found volcanic activity fascinating and have often chosen to live close to volcanoes, which commonly provide favourable environments for life. Volcanoes bring many benefits to society: eruptions fertilise soils; elevated topography provides good sites for infrastructure (e.g. telecommunications on elevated ground); water resources are commonly plentiful; volcano tourism can be lucrative; and volcanoes can acquire spiritual, aesthetic or religious significance. Some volcanoes are also associated with geothermal resources, making them a target for exploration and a potential energy resource.
Much of the time volcanoes are not a threat because they erupt very infrequently or because communities have become resilient to frequently erupting volcanoes. However, there is an everpresent danger of a long-dormant volcano re-awakening or of volcanoes producing anomalously large or unexpected eruptions. Volcanic eruptions can cause loss of life and livelihoods in exposed communities, damage or disrupt critical infrastructure and add stress to already fragile environments. Their impacts can be both short-term, e.g. physical damage, and long-term, e.g. sustained or permanent displacement of populations. The risk from volcanic eruptions and their attendant hazards is often underestimated beyond areas within the immediate proximity of a volcano. For example, volcanic ash hazards can have effects hundreds of kilometres away from the vent and have an adverse impact on human and animal health, infrastructure, transport, agriculture and horticulture, the environment and economies. The products of volcanism and their impacts can extend beyond country borders, to be regional and even global in scale.
Although known historical loss of life from volcanic eruptions (since 1600 AD about 280,000 fatalities are recorded, Auker et al. (2013)) is modest compared to other major natural hazards, volcanic eruptions can be catastrophic for exposed communities. In 1985 the town of Armero in Colombia was buried by lahars (volcanic mudflows) with more than 21,000 fatalities due to relatively small explosive eruptions at the summit of Nevado del Ruiz volcano that partially melted a glacier (Voight, 1990).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Global Volcanic Hazards and Risk","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/CBO9781316276273.004","isbn":"9781316276273","usgsCitation":"Brown, S.K., Loughlin, S.C., Sparks, R.S., Vye-Brown, C., Barclay, J., Calder, E., Cottrell, E., Jolly, G., Komorowski, J., Mandeville, C., Newhall, C., Palma, J., Potter, S., and Valentine, G., 2015, Global volcanic hazards and risk, chap. of Global Volcanic Hazards and Risk, p. 81-173, https://doi.org/10.1017/CBO9781316276273.004.","productDescription":"93 p.","startPage":"81","endPage":"173","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065048","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":310875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56349579e4b048076347fd7d","contributors":{"editors":[{"text":"Loughlin, S. C.","contributorId":149548,"corporation":false,"usgs":false,"family":"Loughlin","given":"S.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":578808,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Sparks, R. S. J.","contributorId":46686,"corporation":false,"usgs":false,"family":"Sparks","given":"R.","email":"","middleInitial":"S. J.","affiliations":[],"preferred":false,"id":578810,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Brown, S. K.","contributorId":149551,"corporation":false,"usgs":false,"family":"Brown","given":"S.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":578811,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Jenkins, S. F.","contributorId":149564,"corporation":false,"usgs":false,"family":"Jenkins","given":"S.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":578829,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Vye-Brown, C.","contributorId":149549,"corporation":false,"usgs":false,"family":"Vye-Brown","given":"C.","email":"","affiliations":[],"preferred":false,"id":578873,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Brown, S. K.","contributorId":149551,"corporation":false,"usgs":false,"family":"Brown","given":"S.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":578874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loughlin, S. C.","contributorId":149548,"corporation":false,"usgs":false,"family":"Loughlin","given":"S.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":578875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sparks, R. S. J.","contributorId":46686,"corporation":false,"usgs":false,"family":"Sparks","given":"R.","email":"","middleInitial":"S. J.","affiliations":[],"preferred":false,"id":578876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vye-Brown, C.","contributorId":149549,"corporation":false,"usgs":false,"family":"Vye-Brown","given":"C.","email":"","affiliations":[],"preferred":false,"id":578877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barclay, J.","contributorId":41168,"corporation":false,"usgs":true,"family":"Barclay","given":"J.","email":"","affiliations":[],"preferred":false,"id":578878,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Calder, E.","contributorId":149552,"corporation":false,"usgs":false,"family":"Calder","given":"E.","email":"","affiliations":[],"preferred":false,"id":578879,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cottrell, E.","contributorId":149553,"corporation":false,"usgs":false,"family":"Cottrell","given":"E.","email":"","affiliations":[],"preferred":false,"id":578880,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jolly, G.","contributorId":149554,"corporation":false,"usgs":false,"family":"Jolly","given":"G.","email":"","affiliations":[],"preferred":false,"id":578881,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Komorowski, J.C.","contributorId":82071,"corporation":false,"usgs":true,"family":"Komorowski","given":"J.C.","affiliations":[],"preferred":false,"id":578882,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mandeville, Charlie 0000-0002-8485-3689 cmandeville@usgs.gov","orcid":"https://orcid.org/0000-0002-8485-3689","contributorId":753,"corporation":false,"usgs":true,"family":"Mandeville","given":"Charlie","email":"cmandeville@usgs.gov","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":549086,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Newhall, C.","contributorId":16557,"corporation":false,"usgs":true,"family":"Newhall","given":"C.","affiliations":[],"preferred":false,"id":578884,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Palma, J.","contributorId":149556,"corporation":false,"usgs":false,"family":"Palma","given":"J.","email":"","affiliations":[],"preferred":false,"id":578885,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Potter, S.","contributorId":149557,"corporation":false,"usgs":false,"family":"Potter","given":"S.","email":"","affiliations":[],"preferred":false,"id":578886,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Valentine, G.","contributorId":149558,"corporation":false,"usgs":false,"family":"Valentine","given":"G.","email":"","affiliations":[],"preferred":false,"id":578887,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70123516,"text":"70123516 - 2015 - Comment on “The role of interbasin groundwater transfers in geologically complex terranes, demonstrated by the Great Basin in the western United States”: report published in Hydrogeology Journal (2014) 22:807–828, by Stephen T. Nelson and Alan L. Mayo","interactions":[],"lastModifiedDate":"2017-04-28T09:34:35","indexId":"70123516","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Comment on “The role of interbasin groundwater transfers in geologically complex terranes, demonstrated by the Great Basin in the western United States”: report published in Hydrogeology Journal (2014) 22:807–828, by Stephen T. Nelson and Alan L. Mayo","docAbstract":"The subject article (Nelson and Mayo 2014) presents an overview of previous reports of interbasin flow in the Great Basin of the western United States. This Comment is presented by authors of a cited study (comprising chapters in one large report) on the Great Basin carbonate and alluvial aquifer system (GBCAAS; Heilweil and Brooks 2011; Masbruch et al. 2011; Sweetkind et al. 2011a, b), who agree that water budget imbalances alone are not enough to accurately quantify interbasin flow; however, it is proposed that statements made in the subject article about the GBCAAS report are inaccurate. The Comment authors appreciate the opportunity to clarify some statements made about the work.
","publisher":"Springer","doi":"10.1007/s10040-014-1208-z","usgsCitation":"Masbruch, M.D., Brooks, L.E., Heilweil, V.M., and Sweetkind, D., 2015, Comment on “The role of interbasin groundwater transfers in geologically complex terranes, demonstrated by the Great Basin in the western United States”: report published in Hydrogeology Journal (2014) 22:807–828, by Stephen T. Nelson and Alan L. Mayo: Hydrogeology Journal, v. 23, no. 1, p. 209-210, https://doi.org/10.1007/s10040-014-1208-z.","productDescription":"2 p.","startPage":"209","endPage":"210","ipdsId":"IP-058108","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":339951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-11-15","publicationStatus":"PW","scienceBaseUri":"58f877b9e4b0b7ea54521c22","contributors":{"authors":[{"text":"Masbruch, Melissa D. 0000-0001-6568-160X mmasbruch@usgs.gov","orcid":"https://orcid.org/0000-0001-6568-160X","contributorId":1902,"corporation":false,"usgs":true,"family":"Masbruch","given":"Melissa","email":"mmasbruch@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooks, Lynette E. 0000-0002-9074-0939 lebrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-9074-0939","contributorId":2718,"corporation":false,"usgs":true,"family":"Brooks","given":"Lynette","email":"lebrooks@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heilweil, Victor M. heilweil@usgs.gov","contributorId":837,"corporation":false,"usgs":true,"family":"Heilweil","given":"Victor","email":"heilweil@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sweetkind, Donald S. dsweetkind@usgs.gov","contributorId":735,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","email":"dsweetkind@usgs.gov","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":false,"id":519376,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148422,"text":"sir20155077 - 2015 - Flood Map for the Winooski River in Waterbury, Vermont, 2014","interactions":[],"lastModifiedDate":"2015-07-01T10:40:01","indexId":"sir20155077","displayToPublicDate":"2015-06-30T16:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5077","title":"Flood Map for the Winooski River in Waterbury, Vermont, 2014","docAbstract":"From August 28 to 29, 2011, Tropical Storm Irene delivered rainfall ranging from approximately 4 to more than 7 inches in the Winooski River Basin in Vermont. The rainfall resulted in severe flooding throughout the basin and significant damage along the Winooski River. In response to the flooding, the U.S. Geological Survey (USGS), in cooperation with the Federal Emergency Management Agency, conducted a new flood study to aid in flood recovery and restoration and to assist in flood forecasting. The study resulted in two sets of flood maps that depict the flooding for an 8.3-mile reach of the Winooski River from about 1,000 feet downstream of the Waterbury-Bolton, Vermont, town line upstream to about 2,000 feet upstream of the Waterbury-Middlesex, Vt., town line.
\nThe first set of maps consists of flood-recovery maps depicting the boundaries of floodwaters at the 10-, 4-, 2-, 1-, and 0.2-percent annual exceedance probability (AEP) discharges, the boundaries of the floodway, and the boundaries of floodwaters from Tropical Storm Irene as estimated by a hydraulic model. The second set of maps consists of flood-inundation maps depicting the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS Winooski River above Crossett Bk at Waterbury, VT (04288040) streamgage. The maps correspond to streamgage water levels ranging from 417.0 to 431.0 feet in 2-foot increments. The availability of these flood-inundation maps along with current stage from the USGS streamgage obtained from a USGS Web site will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts. These flood inundation maps can be accessed through the USGS Flood Inundation Mapping Science Web site (http://water.usgs.gov/osw/flood_inundation/).
\nTo generate the maps, flood profiles for the Winooski River were developed. The U.S. Army Corps of Engineers one-dimensional step-backwater Hydrologic Engineering Center River Analysis System model (HEC–RAS), was used to compute the water-surface profiles along the study reach. The simulated water-surface profiles were then combined with a geographic information system digital elevation model derived from light detection and ranging (lidar) data with a vertical accuracy that meets or exceeds vertical national map accuracy standards for 2-foot contour mapping to delineate the area flooded for each water-surface profile.
\nHigh-water marks from Tropical Storm Irene were available for seven locations along the study reach. The highwater marks were used to estimate water-surface profiles and discharges resulting from Tropical Storm Irene throughout the study reach. From a comparison of the estimated water-surface profile for Tropical Storm Irene with the water-surface profiles for the 1- and 0.2-percent annual exceedance probability (AEP) floods, it was determined that the high-water elevations resulting from Tropical Storm Irene exceeded the estimated 1-percent AEP flood throughout the Winooski River study reach but did not exceed the estimated 0.2-percent AEP flood at any location within the study reach.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155077","collaboration":"Federal Emergency Management Agency","usgsCitation":"Olson, S.A., 2015, Flood Map for the Winooski River in Waterbury, Vermont, 2014: U.S. Geological Survey Scientific Investigations Report 2015-5077, Report: vi, 25 p.; Readme; Appendix; Metadata, https://doi.org/10.3133/sir20155077.","productDescription":"Report: vi, 25 p.; Readme; Appendix; Metadata","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061798","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":305492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155077.jpg"},{"id":305487,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5077/pdf/sir20155077.pdf","text":"Report","size":"5.48 MB","description":"Report"},{"id":305490,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2015/5077/attachments/metadata_floodinundationmap.zip","text":"Metadata for flood inundation map","size":"123 KB","description":"Metadata for flood inundation map","linkHelpText":"Metadata for flood inundation map"},{"id":305488,"rank":3,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sir/2015/5077/attachments/readme.txt","text":"Read me","size":"1 KB","description":"Read Me"},{"id":305489,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5077/attachments/sir2015-5077_appendix1.zip","text":"Map file and dataset","size":"715 MB","description":"Map file and dataset","linkHelpText":"Contains the published map file and the map dataset."},{"id":305491,"rank":6,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2015/5077/attachments/metadata_floodrecoverymap.zip","text":"Metadata for flood recovery map","size":"132 KB","description":"Metadata for flood recovery map","linkHelpText":"Metadata for flood recovery map"},{"id":305486,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5077/"}],"country":"United States","state":"Vermont","city":"Waterbury","otherGeospatial":"Winooski River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.75833129882812,\n 44.319672489734806\n ],\n [\n -72.75833129882812,\n 44.334408514149914\n ],\n [\n -72.73258209228516,\n 44.334408514149914\n ],\n [\n -72.73258209228516,\n 44.319672489734806\n ],\n [\n -72.75833129882812,\n 44.319672489734806\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"Prepared in cooperation with the Federal Emergency Management Agency","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5593afa9e4b0b6d21dd68220","contributors":{"authors":[{"text":"Olson, Scott A. 0000-0002-1064-2125 solson@usgs.gov","orcid":"https://orcid.org/0000-0002-1064-2125","contributorId":2059,"corporation":false,"usgs":true,"family":"Olson","given":"Scott","email":"solson@usgs.gov","middleInitial":"A.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548153,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70154753,"text":"sim3315 - 2015 - Geologic map of the Simcoe Mountains Volcanic Field, main central segment, Yakama Nation, Washington","interactions":[],"lastModifiedDate":"2016-06-23T16:24:50","indexId":"sim3315","displayToPublicDate":"2015-06-30T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3315","title":"Geologic map of the Simcoe Mountains Volcanic Field, main central segment, Yakama Nation, Washington","docAbstract":"Mountainous parts of the Yakama Nation lands in south-central Washington are mostly covered by basaltic lava flows and cinder cones that make up the Simcoe Mountains volcanic field. The accompanying geologic map of the central part of the volcanic field has been produced by the U.S. Geological Survey (USGS) on behalf of the Water Resources Program of the Yakama Nation. The volcanic terrain stretches continuously from Mount Adams eastward as far as Satus Pass and Mill Creek Guard Station. Most of the many hills and buttes are volcanic cones where cinders and spatter piled up around erupting vents while lava flows spread downslope. All of these small volcanoes are now extinct, and, even during their active lifetimes, most of them erupted for no more than a few years. On the Yakama Nation lands, the only large long-lived volcano capable of erupting again in the future is Mount Adams, on the western boundary.
\nThe geologic map presented here extends, east-west, from Satus Creek to the Klickitat River and, north-south, from Signal Peak to Indian Rock. In various colors, the map shows the areas covered by about 223 different eruptive units, mostly lava flows and cinder cones, while stars mark vents where many of them erupted. Shown in plain gray, the basement beneath the Simcoe Mountains volcanic field is the Columbia River Basalt Group, regional “flood basalts” of enormous volume and extent that erupted far to the east and long before the Simcoe volcanics.
\nAlthough the number of past eruptions is large, few were great explosions that fed towering eruption plumes or spread ash over huge areas downwind. Most were localized basaltic lava fountains (like some in Hawaii) where showers of molten fragments reached heights of a few hundred feet. Most of them also poured out tongues of lava that were channelled along stream valleys for a few miles downstream or, occasionally, as far as 10 miles. Because the basalt so common here is one of the most fluid kinds of lava, it tends to flow farther and faster than most other types of lava before it cools and solidifies.
\nLava compositions other than various types of basalt are uncommon here. Andesite is abundant on and around Mount Adams but is very rare east of the Klickitat River. The only important nonbasaltic composition in the map area is rhyolite, which crops out in several patches around the central highland of the volcanic field, mainly in the upper canyons of Satus and Kusshi Creeks and Wilson Charley canyon. Because the rhyolites were some of the earliest lavas erupted here, they are widely concealed by later basalts and therefore crop out only in local windows eroded by canyons that cut through the overlying basalts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3315","usgsCitation":"Hildreth, W., and Fierstein, J., 2015, Geologic map of the Simcoe Mountains Volcanic Field, main central segment, Yakama Nation, Washington: U.S. Geological Survey Scientific Investigations Map 3315, Pamphlet: ii, 76 p.; 3 Sheets: 55.61 x 54.63 inches or smaller; Appendix A, https://doi.org/10.3133/sim3315.","productDescription":"Pamphlet: ii, 76 p.; 3 Sheets: 55.61 x 54.63 inches or smaller; Appendix A","numberOfPages":"78","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-035925","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":305485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3315.gif"},{"id":305481,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3315/pdf/sim3315_sheet1.pdf","text":"Sheet 1","size":"4.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 1"},{"id":305479,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3315/"},{"id":305482,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3315/pdf/sim3315_sheet2.pdf","text":"Sheet 2","size":"4.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 2"},{"id":305484,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sim/3315/downloads/sim3315_appendixA.xlsx","text":"Appendix A","size":"624 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix A","linkHelpText":"Chemical data for Simcoe Mountains volcanic field, main central segment."},{"id":305483,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3315/pdf/sim3315_sheet3.pdf","text":"Sheet 3","size":"7.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 3"},{"id":305480,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3315/pdf/sim3315_pamphlet.pdf","text":"Pamphlet","size":"6.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Pamphlet"}],"scale":"24000","projection":"Universal Transverse Mercator projection","country":"United States","state":"Washington","otherGeospatial":"Simcoe Mountains Volcanic Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.90179443359375,\n 45.79242458189578\n ],\n [\n -120.90179443359375,\n 46.2501492379416\n ],\n [\n -120.3277587890625,\n 46.2501492379416\n ],\n [\n -120.3277587890625,\n 45.79242458189578\n ],\n [\n -120.90179443359375,\n 45.79242458189578\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5593afaae4b0b6d21dd68222","contributors":{"authors":[{"text":"Hildreth, Wes 0000-0002-7925-4251 hildreth@usgs.gov","orcid":"https://orcid.org/0000-0002-7925-4251","contributorId":2221,"corporation":false,"usgs":true,"family":"Hildreth","given":"Wes","email":"hildreth@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":563995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fierstein, Judy jfierstn@usgs.gov","contributorId":2023,"corporation":false,"usgs":true,"family":"Fierstein","given":"Judy","email":"jfierstn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":563996,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70214971,"text":"70214971 - 2015 - Holocene diatom-derived climate history of Medicine Lake, northern California, USA","interactions":[],"lastModifiedDate":"2020-10-05T14:24:09.709844","indexId":"70214971","displayToPublicDate":"2015-06-30T09:17:12","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7133,"text":"CIRMOUNT Mountain Views","active":true,"publicationSubtype":{"id":10}},"title":"Holocene diatom-derived climate history of Medicine Lake, northern California, USA","docAbstract":"The Medicine Lake record is unusual because it responds not only to local and regional climate signals, but changes in conditions on Medicine Lake volcano during the Holocene. Ice retreated within the Medicine Lake volcano occurred around 11,400 years ago, followed by filling of two sub-basins. The absence of Cyclotella indicates that the early lake was probably less than 5 m deep. The low Abies/Artemisia ratio suggests that the climate was relatively dry. Over the next 4000 years, the level of the lake rose as relatively organic-rich fine-grained sediments filled the basin. The increase in abundance of Cyclotella also suggests that the lake gradually deepened. The abundance of Abies in the basin also increased, suggesting the presence of a deeper snowpack that existed into the late spring and summer. The increased snowpack was likely the primary water source that filled the lake during this period. About 5500 years ago, the lake flooded the shallow shelf area surrounding the two sub-basins. Variations in the abundance of Cyclotella and benthic taxa, dominated by Navicula, indicate that the area of the flooded shelf fluctuated during this interval. The abundance of Isoetes and Abies responded similarly to changes in the basin, both suggesting an increase in effective moisture. Their increase corresponds to an increase in Sequoia pollen observed at ODP Site 1019, which records the establishment of modern climatic conditions along the northern California coast (relatively warm wet winters and cool, foggy summers). A connection between coastal and inland 6 climates appears to have strengthened at about this time. These fluctuations are in part due to these changes in moisture availability, but may also be due to changes in the shape of the lake basin brought about by the movement of magma within the Medicine Lake volcano.","language":"English","publisher":"USDA","usgsCitation":"Starratt, S.W., 2015, Holocene diatom-derived climate history of Medicine Lake, northern California, USA: CIRMOUNT Mountain Views, v. 9, p. 12-20.","productDescription":"9 p.","startPage":"12","endPage":"20","ipdsId":"IP-066136","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":379038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":379029,"type":{"id":11,"text":"Document"},"url":"https://www.fs.fed.us/psw/cirmount/publications/pdf/Mtn_Views_june_15.pdf"}],"country":"United States","state":"California","county":"Siskiyou County","otherGeospatial":"Medicine 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To better understand sediment characteristics in the San Antonio River Basin, the U.S. Geological Survey, in cooperation with the San Antonio River Authority, completed a two-part study in the San Antonio River Basin downstream from San Antonio, Texas, to (1) collect and analyze sediment data to characterize sediment conditions and (2) develop and calibrate a watershed model to simulate hydrologic conditions and suspended-sediment loads during 2000–12.
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Sheets 1, 2, and 3 combine data from four different sonar surveys to generate comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic features (highlighted in the perspective views on sheet 4) such as the flat, sediment-covered seafloor in Drakes Bay, as well as abundant “scour depressions” on the Bodega Head–Tomales Point shelf (see sheet 9) and local, tectonically controlled bedrock uplifts. To validate geological and biological interpretations of the sonar data shown in sheets 1, 2, and 3, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are summarized on sheet 6. Sheet 5 is a “seafloor character” map, which classifies the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. Sheet 7 is a map of “potential habitats,” which are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Sheet 8 compiles representative seismic-reflection profiles from the map area, providing information on the subsurface stratigraphy and structure of the map area. Sheet 9 shows the distribution and thickness of young sediment (deposited over the last about 21,000 years, during the most recent sea-level rise) in both the map area and the larger Salt Point to Drakes Bay region, interpreted on the basis of the seismic-reflection data, and it identifies the Offshore of Point Reyes map area as lying within the Bodega Head–Tomales Point shelf, Point Reyes bar, and Bolinas shelf domains. Sheet 10 is a geologic map that merges onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery (sheets 1, 2, 3), seafloor-sediment and rock samples (Reid and others, 2006), digital camera and video imagery (sheet 6), and high-resolution seismic-reflection profiles (sheet 8), as well as aerial-photographic interpretation of nearshore areas. The information provided by the map sheets, pamphlet, and data catalog have a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues.
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2015 - Assessment of interim flow water-quality data of the San Joaquin River restoration program and implications for fishes, California, 2009-11","interactions":[],"lastModifiedDate":"2015-06-29T13:48:16","indexId":"ofr20151093","displayToPublicDate":"2015-06-29T14:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1093","title":"Assessment of interim flow water-quality data of the San Joaquin River restoration program and implications for fishes, California, 2009-11","docAbstract":"After more than 50 years of extensive water diversion for urban and agriculture use, a major settlement was reached among the U.S. Departments of the Interior and Commerce, the Natural Resources Defense Council, and the Friant Water Users Authority in an effort to restore the San Joaquin River. The settlement received Federal court approval in October 2006 and established the San Joaquin River Restoration Program, a multi-agency collaboration between State and Federal agencies to restore and maintain fish populations, including Chinook salmon, in the main stem of the river between Friant Dam and the confluence with the Merced River. This is to be done while avoiding or minimizing adverse water supply effects to all of the Friant Division contractors that could result from restoration flows required by the settlement. The settlement stipulates that water- and sediment-quality data be collected to help assess the restoration goals. This report summarizes and evaluates water-quality data collected in the main stem of the San Joaquin River between Friant Dam and the Merced River by the U.S. Bureau of Reclamation for the San Joaquin River Restoration Program during 2009-11. This summary and assessment consider sampling frequency for adequate characterization of variability, sampling locations for sufficient characterization of the San Joaquin River Restoration Program restoration reach, sampling methods for appropriate media (water and sediment), and constituent reporting limits. After reviewing the water- and sediment-quality results for the San Joaquin River Restoration Program, several suggestions were made to the Fisheries Management Work Group, a division of the San Joaquin River Restoration Program that focuses solely on the reintroduction strategies and health of salmon and other native fishes in the river. Water-quality results for lead and total organic carbon exceeded the Surface Water Ambient Monitoring Program Basin Plan Objectives for the San Joaquin Basin, and results for copper exceeded the U.S. Environmental Protection Agency Office of Pesticide Programs' aquatic-life chronic and acute benchmarks for invertebrates. One sediment sample contained detections of pyrethroid pesticides bifenthrin, lambda-cyhalothrin, and total permethrin at concentrations above published chronic toxicity thresholds.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151093","usgsCitation":"Wulff, M.L., and Brown, L.R., 2015, Assessment of interim flow water-quality data of the San Joaquin River restoration program and implications for fishes, California, 2009-11: U.S. Geological Survey Open-File Report 2015-1093, Report: iii, 25; 2 Appendices, https://doi.org/10.3133/ofr20151093.","productDescription":"Report: iii, 25; 2 Appendices","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-036179","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":305439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151093.jpg"},{"id":305420,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1093/"},{"id":305421,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1093/pdf/ofr2015-1093.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1093 Report"},{"id":305422,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1093/downloads/ofr2015-1093_appendix_a.xlsx","text":"Appendix A","size":"658 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1093 Appendix A"},{"id":305423,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1093/downloads/ofr2015-1093_appendix_c.xlsx","text":"Appendix C","size":"116 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1093 Appendix C"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.62850952148436,\n 37.45142216912853\n ],\n [\n -120.62850952148436,\n 37.47976234695507\n ],\n [\n -120.47470092773436,\n 37.47976234695507\n ],\n [\n -120.47470092773436,\n 37.45142216912853\n ],\n [\n -120.62850952148436,\n 37.45142216912853\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55925e30e4b0b6d21dd67619","contributors":{"authors":[{"text":"Wulff, Marissa L. 0000-0003-0121-9066 mwulff@usgs.gov","orcid":"https://orcid.org/0000-0003-0121-9066","contributorId":1719,"corporation":false,"usgs":true,"family":"Wulff","given":"Marissa","email":"mwulff@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":546785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":563900,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70155864,"text":"70155864 - 2015 - Ocean circulation and biogeochemistry moderate interannual and decadal surface water pH changes in the Sargasso Sea","interactions":[],"lastModifiedDate":"2015-08-17T09:58:34","indexId":"70155864","displayToPublicDate":"2015-06-28T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Ocean circulation and biogeochemistry moderate interannual and decadal surface water pH changes in the Sargasso Sea","docAbstract":"The oceans absorb anthropogenic CO2 from the atmosphere, lowering surface ocean pH, a concern for calcifying marine organisms. The impact of ocean acidification is challenging to predict as each species appears to respond differently and because our knowledge of natural changes to ocean pH is limited in both time and space. Here we reconstruct 222 years of biennial seawater pH variability in the Sargasso Sea from a brain coral, Diploria labyrinthiformis. Using hydrographic data from the Bermuda Atlantic Time-series Study and the coral-derived pH record, we are able to differentiate pH changes due to surface temperature versus those from ocean circulation and biogeochemical changes. We find that ocean pH does not simply reflect atmospheric CO2 trends but rather that circulation/biogeochemical changes account for >90% of pH variability in the Sargasso Sea and more variability in the last century than would be predicted from anthropogenic uptake of CO2 alone.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2015GL064431","collaboration":"Asian School of the Environment, Nanyang Technological Unicersity, Singapore\nEarth Observatory of Singapore, Singapore\nNational Cheung Kung University, Tainan, Taiwan\nWoods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA\nBermuda Institute of Ocean Sciences, St. George’s, Bermuda\nAcademia Sinica, Taipei, Taiwan","usgsCitation":"Goodkin, N.F., Wang, B., You, C., Hughen, K., Prouty, N.G., Bates, N., and Doney, S., 2015, Ocean circulation and biogeochemistry moderate interannual and decadal surface water pH changes in the Sargasso Sea: Geophysical Research Letters, v. 42, no. 12, p. 4931-4939, https://doi.org/10.1002/2015GL064431.","productDescription":"9 p.","startPage":"4931","endPage":"4939","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064178","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471989,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl064431","text":"Publisher Index Page"},{"id":306776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-25","publicationStatus":"PW","scienceBaseUri":"55d305b8e4b0518e35468d13","contributors":{"authors":[{"text":"Goodkin, Nathalie F.","contributorId":146214,"corporation":false,"usgs":false,"family":"Goodkin","given":"Nathalie","email":"","middleInitial":"F.","affiliations":[{"id":16631,"text":"Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":566627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Bo-Shian","contributorId":146215,"corporation":false,"usgs":false,"family":"Wang","given":"Bo-Shian","email":"","affiliations":[{"id":16632,"text":"National Cheung Kung University","active":true,"usgs":false}],"preferred":false,"id":566628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"You, Chen-Feng","contributorId":146216,"corporation":false,"usgs":false,"family":"You","given":"Chen-Feng","email":"","affiliations":[{"id":16632,"text":"National Cheung Kung University","active":true,"usgs":false}],"preferred":false,"id":566629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hughen, Konrad","contributorId":146217,"corporation":false,"usgs":false,"family":"Hughen","given":"Konrad","email":"","affiliations":[{"id":16633,"text":"WHOI","active":true,"usgs":false}],"preferred":false,"id":566630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":566626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bates, Nicholas","contributorId":146218,"corporation":false,"usgs":false,"family":"Bates","given":"Nicholas","email":"","affiliations":[{"id":16634,"text":"Bermuda Institute of Ocean Sciences","active":true,"usgs":false}],"preferred":false,"id":566631,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Doney, Scott","contributorId":146219,"corporation":false,"usgs":false,"family":"Doney","given":"Scott","email":"","affiliations":[{"id":16633,"text":"WHOI","active":true,"usgs":false}],"preferred":false,"id":566632,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70148568,"text":"sir20155085 - 2015 - Hydrologic influences on water-level changes in the Eastern Snake River Plain aquifer at and near the Idaho National Laboratory, Idaho, 1949-2014","interactions":[],"lastModifiedDate":"2015-06-26T16:01:27","indexId":"sir20155085","displayToPublicDate":"2015-06-26T16:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5085","title":"Hydrologic influences on water-level changes in the Eastern Snake River Plain aquifer at and near the Idaho National Laboratory, Idaho, 1949-2014","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, has maintained a water-level monitoring program at the Idaho National Laboratory (INL) since 1949 to systematically measure water levels to provide long-term information on groundwater recharge, discharge, movement, and storage in the eastern Snake River Plain (ESRP) aquifer. During 2014, water levels in the ESRP aquifer reached all-time lows for the period of record, prompting this study to assess the effect that future water-level declines may have on pumps and wells. Water-level data were compared with pump-setting depth to determine the hydraulic head above the current pump setting. Additionally, geophysical logs were examined to address changes in well productivity with water-level declines. Furthermore, hydrologic factors that affect water levels in different areas of the INL were evaluated to help understand why water-level changes occur.
\nReview of pump intake placement and 2014 water-level data indicates that 40 wells completed within the ESRP aquifer at the INL have 20 feet (ft) or less of head above the pump. Nine of the these wells are located in the northeastern and northwestern areas of the INL where recharge is predominantly affected by irrigation, wet and dry cycles of precipitation, and flow in the Big Lost River. Water levels in northeastern and northwestern wells generally show water-level fluctuations of as much as 4.5 ft seasonally and show declines as much as 25 ft during the past 14 years.
\nIn the southeastern area of the INL, seven wells were identified as having less than 20 ft of water remaining above the pump. Most of the wells in the southeast show less decline over the period of record compared with wells in the northeast; the smaller declines are probably attributable to less groundwater withdrawal from pumping of wells for irrigation. In addition, most of the southeastern wells show only about a 1–2 ft fluctuation seasonally because they are less influenced by groundwater withdrawals for irrigation.
\nIn the southwestern area of the INL, 24 wells were identified as having less than 20 ft of water remaining above the pump. Wells in the southwest also only show small 1–2 ft fluctuations seasonally because of a lack of irrigation influence. Wells show larger fluctuation in water levels closer to the Big Lost River and fluctuate in response to wet and dry cycles of recharge to the Big Lost River.
\nGeophysical logs indicate that most of the wells evaluated will maintain their current production until the water level declines to the depth of the pump. A few of the wells may become less productive once the water level gets to within about 5 ft from the top of the pump. Wells most susceptible to future drought cycles are those in the northeastern and northwestern areas of the INL.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155085","collaboration":"U.S. Department of Energy","usgsCitation":"Bartholomay, R.C., and Twining, B.V., 2015, Hydrologic influences on water-level changes in the Eastern Snake River Plain aquifer at and near the Idaho National Laboratory, Idaho, 1949-2014: U.S. Geological Survey Scientific Investigations Report 2015-5085, Report: v, 37 p.; 1 Appendix, https://doi.org/10.3133/sir20155085.","productDescription":"Report: v, 37 p.; 1 Appendix","numberOfPages":"47","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-060008","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":303220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155085.jpg"},{"id":303174,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5085/"},{"id":303175,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5085/pdf/sir2015-5085.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":303176,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5085/pdf/sir2015-5085_appendixa.pdf","text":"Appendix A","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix A"}],"country":"United States","state":"Idaho","otherGeospatial":"Eastern Snake River Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.32373046875,\n 43.08092540794885\n ],\n [\n -114.32373046875,\n 43.97700467496408\n ],\n [\n -111.97265625,\n 43.97700467496408\n ],\n [\n -111.97265625,\n 43.08092540794885\n ],\n [\n -114.32373046875,\n 43.08092540794885\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558e69abe4b0b6d21dd658fe","contributors":{"authors":[{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twining, Brian V. 0000-0003-1321-4721 btwining@usgs.gov","orcid":"https://orcid.org/0000-0003-1321-4721","contributorId":2387,"corporation":false,"usgs":true,"family":"Twining","given":"Brian","email":"btwining@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548652,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173576,"text":"70173576 - 2015 - The influence of a rapid drawdown and prolonged dewatering on angling pressure, catch and harvest in a Nebraska reservoir","interactions":[],"lastModifiedDate":"2016-06-07T16:42:49","indexId":"70173576","displayToPublicDate":"2015-06-26T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of a rapid drawdown and prolonged dewatering on angling pressure, catch and harvest in a Nebraska reservoir","docAbstract":"Reservoirs can be dynamic systems, often prone to unpredictable and extreme water-level fluctuations, and can be environments where survival is difficult for zooplankton and larval fish. Although numerous studies have examined the effects of extreme reservoir drawdown on water quality, few have examined extreme drawdown on both abiotic and biotic characteristics. A fissure in the dam at Red Willow Reservoir in southwest Nebraska necessitated an extreme drawdown; the water level was lowered more than 6 m during a two-month period, reducing reservoir volume by 76%. During the subsequent low-water period (i.e., post-drawdown), spring sampling (April–June) showed dissolved oxygen concentration was lower, while turbidity and chlorophyll-a concentration were greater, relative to pre-drawdown conditions. Additionally, there was an overall increase in zooplankton density, although there were differences among taxa, and changes in mean size among taxa, relative to pre-drawdown conditions. Zooplankton assemblage composition had an average dissimilarity of 19.3% from pre-drawdown to post-drawdown. The ratio of zero to non-zero catches was greater post-drawdown for larval common carp and for all larval fishes combined, whereas we observed no difference for larval gizzard shad. Larval fish assemblage composition had an average dissimilarity of 39.7% from pre-drawdown to post-drawdown. Given the likelihood that other dams will need repair or replacement in the near future, it is imperative for effective reservoir management that we anticipate the likely abiotic and biotic responses of reservoir ecosystems as these management actions will continue to alter environmental conditions in reservoirs.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2015.1055312","usgsCitation":"DeBoer, J.A., Webber, C.M., Dixon, T.A., and Pope, K.L., 2015, The influence of a rapid drawdown and prolonged dewatering on angling pressure, catch and harvest in a Nebraska reservoir: Journal of Freshwater Ecology, v. 31, no. 1, p. 131-146, https://doi.org/10.1080/02705060.2015.1055312.","productDescription":"16 p.","startPage":"131","endPage":"146","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054381","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471992,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2015.1055312","text":"Publisher Index Page"},{"id":323232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"High Butler Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.67647933959961,\n 40.39022733840729\n ],\n [\n -100.67527770996094,\n 40.38499730777754\n ],\n [\n -100.6728744506836,\n 40.37819766081352\n ],\n [\n -100.6680679321289,\n 40.37061262953356\n ],\n [\n -100.66360473632812,\n 40.365381076021734\n ],\n [\n -100.66497802734375,\n 40.35766379338479\n ],\n [\n -100.6757926940918,\n 40.35282369083777\n ],\n [\n -100.68214416503906,\n 40.350076451057234\n ],\n [\n -100.70016860961914,\n 40.35295450898817\n ],\n [\n -100.70446014404297,\n 40.35897186956936\n ],\n [\n -100.71338653564453,\n 40.35818702690405\n ],\n [\n -100.72128295898438,\n 40.364857898336325\n ],\n [\n -100.72505950927733,\n 40.373489810871995\n ],\n [\n -100.73604583740234,\n 40.37688995771412\n ],\n [\n -100.73656082153319,\n 40.37989763689748\n ],\n [\n -100.73278427124023,\n 40.38172833240111\n ],\n [\n -100.72694778442383,\n 40.379113037881154\n ],\n [\n -100.72025299072266,\n 40.377282271309\n ],\n [\n -100.71647644042967,\n 40.37061262953356\n ],\n [\n -100.71029663085938,\n 40.369043206118405\n ],\n [\n -100.70446014404297,\n 40.36498869313837\n ],\n [\n -100.69347381591795,\n 40.36394232761575\n ],\n [\n -100.69175720214844,\n 40.364857898336325\n ],\n [\n -100.68248748779297,\n 40.36328834091583\n ],\n [\n -100.67785263061523,\n 40.361457144401655\n ],\n [\n -100.67819595336914,\n 40.37022027710612\n ],\n [\n -100.67956924438477,\n 40.37780535254874\n ],\n [\n -100.68077087402344,\n 40.3836897366636\n ],\n [\n -100.68128585815428,\n 40.38839687388361\n ],\n [\n -100.67853927612305,\n 40.39127329579797\n ],\n [\n -100.67647933959961,\n 40.39022733840729\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-26","publicationStatus":"PW","scienceBaseUri":"5757f064e4b04f417c24dd25","contributors":{"authors":[{"text":"DeBoer, Jason A.","contributorId":10272,"corporation":false,"usgs":true,"family":"DeBoer","given":"Jason","email":"","middleInitial":"A.","affiliations":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":637767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webber, Christa M.","contributorId":166914,"corporation":false,"usgs":false,"family":"Webber","given":"Christa","email":"","middleInitial":"M.","affiliations":[{"id":18960,"text":"School of Natural Resources, University of Nebraska–Lincoln, Lincoln, Nebraska","active":true,"usgs":false}],"preferred":false,"id":637768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dixon, Taylor A.","contributorId":166915,"corporation":false,"usgs":false,"family":"Dixon","given":"Taylor","email":"","middleInitial":"A.","affiliations":[{"id":18960,"text":"School of Natural Resources, University of Nebraska–Lincoln, Lincoln, Nebraska","active":true,"usgs":false}],"preferred":false,"id":637769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637358,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}