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":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","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":70192607,"text":"70192607 - 2015 - Climate-induced lake drying causes heterogeneous reductions in waterfowl species richness","interactions":[],"lastModifiedDate":"2017-11-10T11:40:56","indexId":"70192607","displayToPublicDate":"2015-07-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Climate-induced lake drying causes heterogeneous reductions in waterfowl species richness","docAbstract":"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.
Analysis of the relationship between evapotranspiration (ET) and its natural and anthropogenic drivers is critical in water-limited basins such as the Nile. The spatiotemporal relationships of ET with rainfall and vegetation dynamics in the Nile Basin during 2002–2011 were analyzed using satellite-derived data. Non-parametric statistics were used to quantify ET-rainfall interactions and trends across land cover types and subbasins. We found that 65% of the study area (2.5 million km2) showed significant (p < 0.05) positive correlations between monthly ET and rainfall, whereas 7% showed significant negative correlations. As expected, positive ET-rainfall correlations were observed over natural vegetation, mixed croplands/natural vegetation, and croplands, with a few subbasin-specific exceptions. In particular, irrigated croplands, wetlands and some forests exhibited negative correlations. Trend tests revealed spatial clusters of statistically significant trends in ET (6% of study area was negative; 12% positive), vegetation greenness (24% negative; 12% positive) and rainfall (11% negative; 1% positive) during 2002–2011. The Nile Delta, Ethiopian highlands and central Uganda regions showed decline in ET while central parts of Sudan, South Sudan, southwestern Ethiopia and northeastern Uganda showed increases. Except for a decline in ET in central Uganda, the detected changes in ET (both positive and negative) were not associated with corresponding changes in rainfall. Detected declines in ET in the Nile delta and Ethiopian highlands were found to be attributable to anthropogenic land degradation, while the ET decline in central Uganda is likely caused by rainfall reduction.
","language":"English","publisher":"MDPI","doi":"10.3390/w7094914","usgsCitation":"Alemu, H., Kaptue, A.T., Senay, G., Wimberly, M.C., and Henebry, G.M., 2015, Evapotranspiration in the Nile Basin: Identifying dynamics and drivers, 2002–2011: Water, v. 7, no. 9, p. 4914-1931, https://doi.org/10.3390/w7094914.","productDescription":"18 p.","startPage":"4914","endPage":"1931","ipdsId":"IP-066148","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":471985,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w7094914","text":"Publisher Index Page"},{"id":337517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Nile Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 32.431640625,\n 31.42866311735861\n ],\n [\n 30.8935546875,\n 31.952162238024975\n ],\n [\n 29.091796875,\n 31.015278981711266\n ],\n [\n 27.9931640625,\n 21.94304553343818\n ],\n [\n 23.6865234375,\n 8.624472107633936\n ],\n [\n 27.2021484375,\n 5.134714634014467\n ],\n [\n 30.629882812499996,\n 3.601142320158735\n ],\n [\n 30.761718749999996,\n -3.90809888189411\n ],\n [\n 34.9365234375,\n -3.46955730306146\n ],\n [\n 37.0458984375,\n 4.083452772038619\n ],\n [\n 40.7373046875,\n 14.817370620155254\n ],\n [\n 32.431640625,\n 31.42866311735861\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"9","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-09","publicationStatus":"PW","scienceBaseUri":"58c90128e4b0849ce97abcf3","contributors":{"authors":[{"text":"Alemu, Henok","contributorId":124527,"corporation":false,"usgs":false,"family":"Alemu","given":"Henok","email":"","affiliations":[{"id":5087,"text":"Geographic Information Science Center of Excellence (GIScCE), South Dakota State University, Brookings, USA","active":true,"usgs":false}],"preferred":false,"id":684251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaptue, Armel T.","contributorId":189254,"corporation":false,"usgs":false,"family":"Kaptue","given":"Armel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":684252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":683981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wimberly, Michael C.","contributorId":167855,"corporation":false,"usgs":false,"family":"Wimberly","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":684253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henebry, Geoffrey M.","contributorId":124528,"corporation":false,"usgs":false,"family":"Henebry","given":"Geoffrey","email":"","middleInitial":"M.","affiliations":[{"id":5087,"text":"Geographic Information Science Center of Excellence (GIScCE), South Dakota State University, Brookings, USA","active":true,"usgs":false}],"preferred":false,"id":684254,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175563,"text":"70175563 - 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":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":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":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":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":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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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":70173907,"text":"70173907 - 2015 - An empirical evaluation of landscape energetic models: Mallard and American black duck space use during the non-breeding period","interactions":[],"lastModifiedDate":"2016-06-15T11:16:51","indexId":"70173907","displayToPublicDate":"2015-06-26T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"An empirical evaluation of landscape energetic models: Mallard and American black duck space use during the non-breeding period","docAbstract":"Bird conservation Joint Ventures are collaborative partnerships between public agencies and private organizations that facilitate habitat management to support waterfowl and other bird populations. A subset of Joint Ventures has developed energetic carrying capacity models (ECCs) to translate regional waterfowl population goals into habitat objectives during the non-breeding period. Energetic carrying capacity models consider food biomass, metabolism, and available habitat to estimate waterfowl carrying capacity within an area. To evaluate Joint Venture ECCs in the context of waterfowl space use, we monitored 33 female mallards (Anas platyrhynchos) and 55 female American black ducks (A. rubripes) using global positioning system satellite telemetry in the central and eastern United States. To quantify space use, we measured first-passage time (FPT: time required for an individual to transit across a circle of a given radius) at biologically relevant spatial scales for mallards (3.46 km) and American black ducks (2.30 km) during the non-breeding period, which included autumn migration, winter, and spring migration. We developed a series of models to predict FPT using Joint Venture ECCs and compared them to a biological null model that quantified habitat composition and a statistical null model, which included intercept and random terms. Energetic carrying capacity models predicted mallard space use more efficiently during autumn and spring migrations, but the statistical null was the top model for winter. For American black ducks, ECCs did not improve predictions of space use; the biological null was top ranked for winter and the statistical null was top ranked for spring migration. Thus, ECCs provided limited insight into predicting waterfowl space use during the non-breeding season. Refined estimates of spatial and temporal variation in food abundance, habitat conditions, and anthropogenic disturbance will likely improve ECCs and benefit conservation planners in linking non-breeding waterfowl habitat objectives with distribution and population parameters. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"Washington Wildlife Society","doi":"10.1002/jwmg.920","usgsCitation":"Beatty, W.S., Webb, E.B., Kesler, D.C., Naylor, L.W., Raedeke, A.H., Humburg, D.D., Coluccy, J.M., and Soulliere, G., 2015, An empirical evaluation of landscape energetic models: Mallard and American black duck space use during the non-breeding period: Journal of Wildlife Management, v. 79, no. 7, p. 1141-1151, https://doi.org/10.1002/jwmg.920.","productDescription":"11 p.","startPage":"1141","endPage":"1151","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058474","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Arkansas, Delaware, Louisiana, Michigan, New Jersey, New York, Ohio, Oklahoma, Saskatchewan, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.251953125,\n 31.914867503276223\n ],\n [\n -94.39453125,\n 36.20882309283712\n ],\n [\n -107.0068359375,\n 49.95121990866206\n ],\n [\n -84.55078125,\n 44.653024159812\n ],\n [\n -80.9912109375,\n 41.73852846935917\n ],\n [\n -74.091796875,\n 44.84029065139799\n ],\n [\n -75.5419921875,\n 38.92522904714054\n ],\n [\n -77.95898437499999,\n 37.055177106660814\n ],\n [\n -93.251953125,\n 31.914867503276223\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"79","issue":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-26","publicationStatus":"PW","scienceBaseUri":"57627c2de4b07657d19a69c0","contributors":{"authors":[{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":146301,"corporation":false,"usgs":false,"family":"Beatty","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kesler, Dylan C.","contributorId":14358,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","email":"","middleInitial":"C.","affiliations":[{"id":6769,"text":"University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":638982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Naylor, Luke W.","contributorId":145840,"corporation":false,"usgs":false,"family":"Naylor","given":"Luke","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":638983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raedeke, Andrew H.","contributorId":94083,"corporation":false,"usgs":true,"family":"Raedeke","given":"Andrew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":638984,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":638985,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Coluccy, John M.","contributorId":111382,"corporation":false,"usgs":true,"family":"Coluccy","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":638986,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Soulliere, G.","contributorId":31107,"corporation":false,"usgs":true,"family":"Soulliere","given":"G.","email":"","affiliations":[],"preferred":false,"id":638987,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"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.
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2015 - EROS resources for the classroom","interactions":[],"lastModifiedDate":"2017-01-18T10:02:03","indexId":"fs20153046","displayToPublicDate":"2015-06-24T16:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3046","title":"EROS resources for the classroom","docAbstract":"The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center has several educational resources that demonstrate how satellite imagery is used to understand our changing world.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153046","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2015, EROS resources for the classroom: U.S. Geological Survey Fact Sheet 2015-3046, 2 p., https://doi.org/10.3133/fs20153046.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066015","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":302315,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3046/pdf/fs2015-3046.pdf","text":"Report","size":"831 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":302316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153046.jpg"},{"id":302314,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3046/"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6b0e4b0b6d21dd6528e","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":556681,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70150299,"text":"ofr20151076 - 2015 - Oil-particle interactions and submergence from crude oil spills in marine and freshwater environments: review of the science and future research needs","interactions":[],"lastModifiedDate":"2015-06-24T12:45:52","indexId":"ofr20151076","displayToPublicDate":"2015-06-24T13:30:00","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":"2015-1076","title":"Oil-particle interactions and submergence from crude oil spills in marine and freshwater environments: review of the science and future research needs","docAbstract":"Oil-particle interactions and oil submergence are of much interest to oil spill responders and scientists, especially as transportation of light and heavy crude oils increases in North America’s coastal marine and freshwater environments. This report contains an up-to-date review of the state of the science for oil-particle aggregates (OPAs), in terms of their formation and stability which may alter the transport, fate, and toxicity of the residual oil and, hence, its level of ecological risk. Operational considerations—detection, containment, and recovery—are discussed.
\nAlthough much is known about oil-particle interactions in coastal marine environments, there remains a need for additional science on methods to detect and quantify the presence of OPAs and to understand their effects on containment and recovery of oil spilled under various temperature regimes and in different aquatic habitats including freshwater environments.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151076","usgsCitation":"Fitzpatrick, F., Boufadel, M.C., Johnson, R., Lee, K.W., Graan, T.P., Bejarano, A.C., Zhu, Z., Waterman, D., Capone, D.M., Hayter, E., Hamilton, S.K., Dekker, T., Garcia, M., and Hassan, J.S., 2015, Oil-particle interactions and submergence from crude oil spills in marine and freshwater environments: review of the science and future research needs: U.S. Geological Survey Open-File Report 2015-1076, v, 35 p., https://doi.org/10.3133/ofr20151076.","productDescription":"v, 35 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059436","costCenters":[{"id":677,"text":"Wisconsin Water Science 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W.","contributorId":16099,"corporation":false,"usgs":true,"family":"Lee","given":"Kenneth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":556669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graan, Thomas P.","contributorId":97021,"corporation":false,"usgs":true,"family":"Graan","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":556679,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bejarano, Adriana C.","contributorId":143667,"corporation":false,"usgs":false,"family":"Bejarano","given":"Adriana","email":"","middleInitial":"C.","affiliations":[{"id":15292,"text":"Research Planning, Inc.","active":true,"usgs":false}],"preferred":false,"id":556677,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhu, 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Laboratory","active":true,"usgs":false}],"preferred":false,"id":556673,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hamilton, Stephen K.","contributorId":143690,"corporation":false,"usgs":false,"family":"Hamilton","given":"Stephen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":556799,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dekker, Timothy","contributorId":143666,"corporation":false,"usgs":false,"family":"Dekker","given":"Timothy","email":"","affiliations":[{"id":15291,"text":"Limno Tech, Inc.","active":true,"usgs":false}],"preferred":false,"id":556676,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":556675,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hassan, Jacob S.","contributorId":143668,"corporation":false,"usgs":false,"family":"Hassan","given":"Jacob","email":"","middleInitial":"S.","affiliations":[{"id":15293,"text":"USEPA Region V","active":true,"usgs":false}],"preferred":false,"id":556680,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70150465,"text":"70150465 - 2015 - Linking dynamic habitat selection with wading bird foraging distributions across resource gradients","interactions":[],"lastModifiedDate":"2015-06-26T09:48:07","indexId":"70150465","displayToPublicDate":"2015-06-24T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Linking dynamic habitat selection with wading bird foraging distributions across resource gradients","docAbstract":"Species distribution models (SDM) link species occurrence with a suite of environmental predictors and provide an estimate of habitat quality when the variable set captures the biological requirements of the species. SDMs are inherently more complex when they include components of a species' ecology such as conspecific attraction and behavioral flexibility to exploit resources that vary across time and space. Wading birds are highly mobile, demonstrate flexible habitat selection, and respond quickly to changes in habitat quality; thus serving as important indicator species for wetland systems. We developed a spatio-temporal, multi-SDM framework using Great Egret (Ardea alba), White Ibis (Eudocimus albus), and Wood Stork (Mycteria Americana) distributions over a decadal gradient of environmental conditions to predict species-specific abundance across space and locations used on the landscape over time. In models of temporal dynamics, species demonstrated conditional preferences for resources based on resource levels linked to differing temporal scales. Wading bird abundance was highest when prey production from optimal periods of inundation was concentrated in shallow depths. Similar responses were observed in models predicting locations used over time, accounting for spatial autocorrelation. Species clustered in response to differing habitat conditions, indicating that social attraction can co-vary with foraging strategy, water-level changes, and habitat quality. This modeling framework can be applied to evaluate the multi-annual resource pulses occurring in real-time, climate change scenarios, or restorative hydrological regimes by tracking changing seasonal and annual distribution and abundance of high quality foraging patches.
","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0128182","usgsCitation":"Beerens, J.M., Noonberg, E.G., and Gawlik, D.E., 2015, Linking dynamic habitat selection with wading bird foraging distributions across resource gradients: PLoS ONE, v. 10, no. 6, p. 1-25, https://doi.org/10.1371/journal.pone.0128182.","productDescription":"25 p.","startPage":"1","endPage":"25","numberOfPages":"25","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060476","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":471995,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0128182","text":"Publisher Index Page"},{"id":302361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-24","publicationStatus":"PW","scienceBaseUri":"558e77b8e4b0b6d21dd65963","contributors":{"authors":[{"text":"Beerens, James M. 0000-0001-8143-916X jbeerens@usgs.gov","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":143722,"corporation":false,"usgs":true,"family":"Beerens","given":"James","email":"jbeerens@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":556926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noonberg, Erik G.","contributorId":143723,"corporation":false,"usgs":false,"family":"Noonberg","given":"Erik","email":"","middleInitial":"G.","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":556927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gawlik, Dale E.","contributorId":88055,"corporation":false,"usgs":true,"family":"Gawlik","given":"Dale","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":556928,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148503,"text":"sir20155082 - 2015 - Assessment of statewide annual streamflow in New Mexico, 1985-2013","interactions":[],"lastModifiedDate":"2015-06-24T09:28:08","indexId":"sir20155082","displayToPublicDate":"2015-06-24T10:00:00","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":"2015-5082","title":"Assessment of statewide annual streamflow in New Mexico, 1985-2013","docAbstract":"In 2014, the New Mexico Water Resources Research Institute began a statewide assessment of the water resources of New Mexico. The U.S. Geological Survey, in cooperation with the New Mexico Water Resources Research Institute, addressed the streamflow component of the assessment by examining streamgage data for major river basins and streams in New Mexico for the study period over water years 1985–2013 (all references to years in this report are to water years).
\nOverall, the total annual inflow to and outflow from New Mexico generally decreased over the study period. The highest annual flows for the Rio Grande occurred in 1985–87, and except at the Rio Grande below Elephant Butte Dam, N. Mex. (08361000), and Rio Grande at El Paso, Texas (08364000), streamgages, the lowest flows occurred in 2002–03. Reaches from the Colorado-New Mexico State line southward to Los Alamos, N. Mex. (reaches RG–1 through RG–4), were all gaining reaches. Based on mean annual streamflow during the study period, reaches from Los Alamos (reach RG–5) southward to El Paso (reach RG–9) were all losing reaches except for the Socorro, N. Mex., reach (reach RG–7). From 1985 to 1995, annual flows in the Red River generally were above the mean annual streamflow, but after 1995, annual flows were more frequently below the mean annual streamflow. The Rio Hondo, Rio Pueblo de Taos, and Jemez River followed similar annual trends as the Red River, but to a lesser extent, over the study period.
\nOver the study period, annual flows in the Rio Chama generally increased downstream, and after 1995, the frequency of above average annual flows decreased, and below average flows became more frequent. The Rio Chama reaches were gaining in most of the years from 1985 to 2013. The Rio Puerco annual flows, at both of the streamgages on this stream, generally decreased after 2000. Reach RP–1 was a gaining reach for 24 years of the study period.
\nIn general, Pecos River annual flows decreased substantially from the mean annual streamflow after 2000. The greatest gain on the Pecos River was estimated for the reach below Lake Sumner (reach PEC–5), which had gains in all 29 years of the study, whereas the reach from Lake Avalon southward to Red Bluff Reservoir (reach PEC–9) had losses in all 29 years. The highest flows at all streamgages on the Rio Hondo occurred in 1987; high flows there have generally decreased since 1992. Reaches from Ruidoso to below Two Rivers Reservoir, reaches RH–1 and RH–2, were losing reaches for 16 years and 28 years, respectively, over the study period.
\nThe San Juan River for the study period had some of the highest flows of any river in New Mexico, and flow on the river generally increased in the downstream direction. Annual flows at the Animas River streamgages were highly variable but after 1993, generally, tended to decrease. The extended periods of high flows on the Animas River seemed to end in 2000. Over the study period, the reach from the New Mexico border southward to Farmington, N. Mex. (reach ANI–1), generally was a losing reach except for 1987 and 1997. Annual flows at the La Plata River near Farmington, N. Mex. (09367500), streamgage generally were less than the annual inflow to the State at the La Plata River at Colorado–New Mexico State line (09366500) streamgage. Over the study period, the reach from the New Mexico border southward to Farmington (reach PLA–1) generally was a losing reach except for 1986, 1987, and 1993.
\nPrior to 1999, annual flows at Canadian River streamgages varied above and below average, but after 1999, annual flows generally were below average. The Canadian River reaches, below the confluence of the Cimarron River (reach CAN–1) and the Canadian River to Ute Reservoir (reach CAN–2), display that the upstream reach (reach CAN–1) was a gaining reach for all 29 water years but that the downstream reach (reach CAN–2) was a losing reach for all years except 2003. Annual flows for the Cimarron River varied above and below average until 1999 and then generally were below average through 2013. The Cimarron River reach, below Eagle Nest Lake to about halfway to the confluence with the Canadian River (reach CIM–1), generally was a gaining reach except for 1996, 2002, 2011, and 2013.
\nGila River annual flows varied above and below average until 2005 and thereafter generally were below average. Over the study period, the reach from the Gila River near Gila, N. Mex. (09430500), streamgage to the Gila River below Blue Creek, near Virden, N. Mex. (09432000), streamgage (reach GIL–1) was a gaining reach for all years except 1990 and 2013, while the reach from the Gila River below Blue Creek, near Virden, N. Mex. (09432000), streamgage to the Gila River near Clifton, Ariz. (09442000), streamgage (reach GIL–2) was a losing reach for all years with data except 1999.
\nThe San Francisco River annual flows were relatively high compared to other years in the study in 1985, 1991–93, 1995, and 2005 but were near or below average for the rest of the years of the study. Both reaches on the San Francisco River were gaining reaches for all 29 years of the study.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155082","collaboration":"Prepared in cooperation with the New Mexico Water Resources Research Institute","usgsCitation":"Affinati, J.A., and Myers, N.C., 2015, Assessment of statewide annual streamflow in New Mexico, 1985-2013: U.S. Geological Survey Scientific Investigations Report 2015-5082, Report: vi, 65 p.; 9 Appendixes, https://doi.org/10.3133/sir20155082.","productDescription":"Report: vi, 65 p.; 9 Appendixes","numberOfPages":"75","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1984-10-01","ipdsId":"IP-064988","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":302271,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155082.jpg"},{"id":302269,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5082/pdf/sir2015-5082.pdf","text":"Report","size":"18.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":302270,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5082/downloads/sir2015-5082_apps1-9.xlsx","text":"Appendixes","size":"217 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendixes","linkHelpText":"This is an electronic copy of Appendixes 1–9"},{"id":302265,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5082/"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.05029296875,\n 31.31610138349565\n ],\n [\n -109.061279296875,\n 36.98500309285596\n ],\n [\n -103.0078125,\n 36.99377838872517\n ],\n [\n -103.084716796875,\n 31.99875937194732\n ],\n [\n -106.622314453125,\n 32.01739159980399\n ],\n [\n -106.644287109375,\n 31.868227816180674\n ],\n [\n -106.490478515625,\n 31.756196257571325\n ],\n [\n -108.204345703125,\n 31.793555207271424\n ],\n [\n -108.226318359375,\n 31.325486676506983\n ],\n [\n -109.05029296875,\n 31.31610138349565\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6afe4b0b6d21dd6528a","contributors":{"authors":[{"text":"Affinati, Joseph Anthony jaffinati@usgs.gov","contributorId":5994,"corporation":false,"usgs":true,"family":"Affinati","given":"Joseph","email":"jaffinati@usgs.gov","middleInitial":"Anthony","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":556742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Myers, Nathan C. 0000-0002-7469-3693 nmyers@usgs.gov","orcid":"https://orcid.org/0000-0002-7469-3693","contributorId":1055,"corporation":false,"usgs":true,"family":"Myers","given":"Nathan","email":"nmyers@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":556743,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70147999,"text":"pp1814A - 2015 - Hydrogeochemical exploration: a reconnaissance study on northeastern Seward Peninsula, Alaska","interactions":[{"subject":{"id":70147999,"text":"pp1814A - 2015 - Hydrogeochemical exploration: a reconnaissance study on northeastern Seward Peninsula, Alaska","indexId":"pp1814A","publicationYear":"2015","noYear":false,"chapter":"A","displayTitle":"Hydrogeochemical Exploration: A Reconnaissance Study on Northeastern Seward Peninsula, Alaska","title":"Hydrogeochemical exploration: a reconnaissance study on northeastern Seward Peninsula, Alaska"},"predicate":"IS_PART_OF","object":{"id":70158938,"text":"pp1814 - 2015 - Studies by the U.S. Geological Survey in Alaska, Volume 15","indexId":"pp1814","publicationYear":"2015","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, Volume 15"},"id":1}],"isPartOf":{"id":70158938,"text":"pp1814 - 2015 - Studies by the U.S. Geological Survey in Alaska, Volume 15","indexId":"pp1814","publicationYear":"2015","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, Volume 15"},"lastModifiedDate":"2018-12-10T15:02:55","indexId":"pp1814A","displayToPublicDate":"2015-06-24T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1814","chapter":"A","displayTitle":"Hydrogeochemical Exploration: A Reconnaissance Study on Northeastern Seward Peninsula, Alaska","title":"Hydrogeochemical exploration: a reconnaissance study on northeastern Seward Peninsula, Alaska","docAbstract":"A reconnaissance hydrogeochemical study employing high-resolution/high-sensitivity inductively coupled plasma mass spectrometry analysis of stream and seep water samples (n= 171) was conducted in an area of limited bedrock exposure on the northeastern Seward Peninsula, Alaska. Sampling was focused in drainages around four main areas—at the Anugi Pb-Zn-Ag occurrence and in streams upstream of historically and currently mined placer gold deposits in the Candle Creek, Utica, and Monument Mountain areas. The objective of the study was to determine whether distribution of elevated metal concentrations in water samples could “see” through sediment cover and provide evidence of bedrock sources for base metals and gold. Some observations include (1) elevated Ag, As, Pb, and Zn concentrations relative to the study area as a whole in stream and seep samples from over and downstream of part of the Anugi Pb-Zn-Ag prospect; (2) abrupt downstream increases in Tl and Sb ± Au concentrations coincident with the upstream termination of productive placer deposits in the Inmachuk and Old Glory Creek drainages near Utica; (3) high K, Mo, Sb, and F throughout much of the Inmachuk River drainage near Utica; and (4) elevated As ± base metals and Au at two sites along Patterson Creek near the town of Candle and three additional contiguous sites identified when an 85th percentile cut-off was employed. Molybdenum ± gold concentrations (>90th percentile) were also measured in samples from three sites on Glacier Creek near Monument Mountain. The hydrogeochemistry in some areas is consistent with limited stream-sediment data from the region, including high Pb-Zn-Ag-As concentrations associated with Anugi, as well as historical reports of arsenopyrite-bearing veins upstream of placer operations in Patterson Creek. Chemistry of samples in the Inmachuk River-Old Glory Creek area also suggest more laterally extensive stibnite- (and gold-?) bearing veining than is currently known in the Old Glory Creek drainage. Our results indicate that hydrogeochemistry can be a useful method of geochemical exploration and offer targets for follow-up rock, soil, and subsurface sampling to ascertain the presence of mineralized bedrock.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, vol. 15 (Professional Paper 1814)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1814A","usgsCitation":"Graham, G.E., Taylor, R.D., and Buckley, S., 2015, Hydrogeochemical exploration: a reconnaissance study on northeastern Seward Peninsula, Alaska: U.S. Geological Survey Professional Paper 1814, v, 16 p., https://doi.org/10.3133/pp1814A.","productDescription":"v, 16 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061294","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":302268,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1814a.gif"},{"id":302267,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1814/a/pdf/p1814-a.pdf","text":"Report","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Alaska","otherGeospatial":"Seward Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -164.00390625,\n 65.47650756256367\n ],\n [\n -164.00390625,\n 67.05887024878376\n ],\n [\n -160.20263671875,\n 67.05887024878376\n ],\n [\n -160.20263671875,\n 65.47650756256367\n ],\n [\n -164.00390625,\n 65.47650756256367\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Alaska Science Center staff
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Throughout its history, the United States has made major investments in assessing natural resources, such as soils, timber, oil and gas, and water. These investments allow policy makers, the private sector and the American public to make informed decisions about cultivating, harvesting or conserving these resources to maximize their value for public welfare, environmental conservation and the economy. As policy issues evolve, new priorities and challenges arise for natural resource assessment, and new approaches to monitoring are needed. For example, informed conservation and use of the nation’s finite fresh water resources in the context of increasingly intensive land development is a priority for today’s policy decisionmakers. There is a need to evaluate whether today’s water monitoring programs are generating the information needed to answer questions surrounding these new policy priorities.
The Northeast-Midwest Institute (NEMWI), in cooperation with the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Program, initiated this project to explore the types and amounts of water data needed to address water-quality related policy questions of critical concern to today’s policy makers. The collaborating entities identified two urgent water policy questions and conducted case studies in the Northeast-Midwest region to determine the water data needed, water data available, and the best ways to fill the data gaps relative to those questions. This report details the output from one case study and focuses on the Lake Erie drainage basin, a data-rich area expected to be a best-case scenario in terms of water data availability.
","language":"English","publisher":"Northeast-Midwest Institute","publisherLocation":"Washington, D.C.","isbn":"978-0-9864448-0-7","usgsCitation":"Bentanzo, E.A., Choquette, A.F., Reckhow, K.H., Hayes, L., Hagan, E.R., Argue, D.M., and Cangelosi, A., 2015, Water data to answer urgent water policy questions: Monitoring design, available data and filling data gaps for determining the effectiveness of agricultural management practices for reducing tributary nutrient loads to Lake Erie, 169 p.","productDescription":"169 p.","ipdsId":"IP-056986","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":342241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":301286,"type":{"id":15,"text":"Index Page"},"url":"https://www.nemw.org/lake-erie-report-2/","linkHelpText":" (click on Lake Erie Nutrient Case Study Report)."}],"country":"United States","state":"Indiana, Michigan, New York, Ohio, 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practices for reducing tributary nutrient loads to Lake Erie -- Addendum describing new, expanded, and planned monitoring sites","interactions":[],"lastModifiedDate":"2017-06-08T11:57:45","indexId":"70148600","displayToPublicDate":"2015-06-24T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Water data to answer urgent water policy questions: Monitoring design, available data and filling data gaps for determining the effectiveness of agricultural management practices for reducing tributary nutrient loads to Lake Erie -- Addendum describing new, expanded, and planned monitoring sites","docAbstract":"This Addendum describes new, expanded, and planned water monitoring sites in the Lake Erie drainage basin that were initiated subsequent to the preparation of Betanzo et al. 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Its acidic waters are permeated by hundreds of gas seeps. One seep was sampled and found to be composed of mostly CO2 with some CH4 present. The δ13CH4 value suggested a complex origin for the methane: i.e., a thermogenic component plus a biological methanogenic portion. The relatively 12C-enriched CO2 suggested a reworking of the ebullitive methane by methanotrophic bacteria. Therefore, we tested bottom sediments for their ability to consume methane by conducting aerobic incubations of slurried materials. Methane was removed from the headspace of live slurries, and subsequent additions of methane resulted in faster removal rates. This activity could be transferred to an artificial, acidic medium, indicating the presence of acidophilic or acid-tolerant methanotrophs, the latter reinforced by the observation of maximum activity at pH = 4.5 with incubated slurries. A successful extraction of sterol and hopanoid lipids characteristic of methanotrophs was achieved, and their abundances greatly increased with increased sediment methane consumption. DNA extracted from methane-oxidizing enrichment cultures was amplified and sequenced for pmoA genes that aligned with methanotrophic members of the Gammaproteobacteria. An enrichment culture was established that grew in an acidic (pH 4.5) medium via methane oxidation.
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