Thaw ponds on the Arctic Coastal Plain of Alaska are productive ecosystems, providing habitat and food resources for many fish and bird species. Permafrost in this region creates unique pond morphologies: deep troughs, shallow low-centred polygons (LCPs) and larger coalescent ponds. By monitoring seasonal trends in pond volume and chemistry, we evaluated whether pond morphology and size affect water temperature and desiccation, and nitrogen (N) and phosphorus (P) fluxes. Evaporation was the largest early-summer water flux in all pond types. LCPs dried quickly and displayed high early-summer nutrient concentrations and losses. Troughs consistently received solute-rich subsurface inflows, which accounted for 12 to 42 per cent of their volume and may explain higher P in the troughs. N to P ratios increased and ammonium concentrations decreased with pond volume, suggesting that P and inorganic N availability may limit ecosystem productivity in older, larger ponds. Arctic summer temperatures will likely increase in the future, which may accelerate mid-summer desiccation. Given their morphology, troughs may remain wet, become warmer and derive greater nutrient loads from their thawing banks. Overall, seasonal- to decadal-scale warming may increase ecosystem productivity in troughs relative to other Arctic Coastal Plain ponds.
","language":"English","publisher":"Wiley","doi":"10.1002/ppp.1804","usgsCitation":"Koch, J.C., Gurney, K., and Wipfli, M.S., 2014, Morphology-dependent water budgets and nutrient fluxes in arctic thaw ponds: Permafrost and Periglacial Processes, v. 25, no. 2, p. 79-93, https://doi.org/10.1002/ppp.1804.","productDescription":"15 p.","startPage":"79","endPage":"93","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052083","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":296417,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -141.328125,\n 71.63599288330606\n ],\n [\n -141.6796875,\n 58.81374171570782\n ],\n [\n -178.2421875,\n 50.62507306341435\n ],\n [\n -165.76171875,\n 71.69129271863999\n ],\n [\n -141.328125,\n 71.63599288330606\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-04-14","publicationStatus":"PW","scienceBaseUri":"5480261be4b0ac64d148dcd8","contributors":{"authors":[{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":526120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gurney, Kirsty","contributorId":127650,"corporation":false,"usgs":false,"family":"Gurney","given":"Kirsty","affiliations":[{"id":7097,"text":"University of Alaska-Fairbanks","active":true,"usgs":false}],"preferred":false,"id":526121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":526122,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134555,"text":"70134555 - 2014 - Shifts in plant functional types have time-dependent and regionally variable impacts on dryland ecosystem water balance","interactions":[],"lastModifiedDate":"2014-12-03T14:16:08","indexId":"70134555","displayToPublicDate":"2014-12-03T13:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Shifts in plant functional types have time-dependent and regionally variable impacts on dryland ecosystem water balance","docAbstract":"Summary
\n1. Terrestrial vegetation influences hydrologic cycling. In water-limited, dryland ecosystems, altered ecohydrology as a consequence of vegetation change can impact vegetation structure, ecological functioning and ecosystem services. Shrub steppe ecosystems dominated by big sagebrush (Artemisia tridentata) are widespread across western North America, and provide a range of ecosystem services. While sagebrush abundance in these ecosystems has been altered over the past century, and changes are likely to continue, the ecohydrological consequences of sagebrush removal and reestablishment remain unclear.
\n2. To characterize the immediate and medium-term patterns of water cycling and availability following sagebrush plant community alteration, we applied the SOILWAT ecosystem water balance model to 898 sites across the distribution of sagebrush ecosystems, representing the three primary sagebrush ecosystem types: sagebrush shrublands, sagebrush steppe and montane sagebrush. At each site, we examined three vegetation conditions representing intact sagebrush, recently disturbed sagebrush and recovered but grass-dominated vegetation.
\n3. Transition from shrub to grass dominance decreased precipitation interception and transpiration and increased soil evaporation and deep drainage. Relative to intact sagebrush vegetation, simulated soils in the herbaceous vegetation phases typically had drier surface layers and wetter deep layers.
\n4. Our simulations suggested that alterations in ecosystem water balance may be most pronounced in vegetation representing recently disturbed conditions (herbaceous vegetation with low biomass) and only modest in conditions representing recovered, but still grass-dominated vegetation. Furthermore, the ecohydrological impact of simulated sagebrush removal depended on climate; while short-term changes in water balance were greatest in wet areas represented by the montane sagebrush ecosystem type, medium-term impacts were greatest in dry areas of sagebrush shrublands and sagebrush steppe.
\n5. Synthesis. This study provides a novel, regional-scale assessment of how plant functional type transitions may impact ecosystem water balance in sagebrush-dominated ecosystems of North America. Results illustrate that the ecohydrological consequences of changing vegetation depend strongly on climate and suggest that decreasing woody plant abundance may have only limited impact on evapotranspiration and water yield.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.12289","usgsCitation":"Bradford, J.B., Schlaepfer, D., Lauenroth, W.K., and Burke, I.C., 2014, Shifts in plant functional types have time-dependent and regionally variable impacts on dryland ecosystem water balance: Journal of Ecology, v. 102, no. 6, p. 1408-1418, https://doi.org/10.1111/1365-2745.12289.","productDescription":"11 p.","startPage":"1408","endPage":"1418","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054679","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472590,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.12289","text":"Publisher Index Page"},{"id":296416,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"102","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-10-24","publicationStatus":"PW","scienceBaseUri":"5480261be4b0ac64d148dcdc","contributors":{"authors":[{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":526160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schlaepfer, Daniel R.","contributorId":105189,"corporation":false,"usgs":false,"family":"Schlaepfer","given":"Daniel R.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":526161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":526162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burke, Ingrid C.","contributorId":127653,"corporation":false,"usgs":false,"family":"Burke","given":"Ingrid","email":"","middleInitial":"C.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":526163,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70134600,"text":"70134600 - 2014 - Size and retention of breeding territories of yellow-billed loons in Alaska and Canada","interactions":[],"lastModifiedDate":"2014-12-03T12:01:33","indexId":"70134600","displayToPublicDate":"2014-12-03T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Size and retention of breeding territories of yellow-billed loons in Alaska and Canada","docAbstract":"Yellow-billed Loons (Gavia adamsii) breed in lakes in the treeless Arctic and are globally rare. Like their sister taxa, the well-documented Common Loon (G. immer) of the boreal forest, Yellow-billed Loons exhibit strong territorial behavior during the breeding season. Little is known about what size territories are required, however, or how readily territories are retained from year to year. An understanding of territory dynamics and size is needed by management agencies as most of the U.S. breeding population of Yellow-billed Loons resides in the National Petroleum Reserve-Alaska where oil and gas development is expected to increase in the next few decades. Using locational data from a set of Yellow-billed Loons marked with satellite transmitters, we quantified an index of territory radius for each of three breeding populations: two in Alaska and one in Canada. The mean territory radius was 0.42 km for Yellow-billed Loons summering on lakes within the Seward Peninsula in northwest Alaska, 0.69 km for Yellow-billed Loons within the Arctic Coastal Plain of Alaska (encompasses the National Petroleum Reserve), and 0.96 km for Yellow-billed Loons within Daring Lake in mainland Canada. In this study, the mean territory radius on the Arctic Coastal Plain was about half the distance identified in stipulations for industrial development in the National Petroleum Reserve. The range in territory size among areas corresponded to a gradient in size of lakes used by Yellow-billed Loons with territories at the two Alaska sites on lakes averaging < 200 ha while territories in Canada were generally on much larger lakes. In the year after capture, 71% of Yellow-billed Loons retained territories that were held the previous year. Most Yellow-billed Loons that lost their territories wandered over a large area within 6 km of their prior territory. No Yellow-billed Loons occupied new territories, though one reacquired its prior territory after a 1-year hiatus. Retention of a territory in a subsequent year was positively related to early arrival dates at the breeding site. For Yellow-billed Loons on the Arctic Coastal Plain, this relationship was quite strong with a week lag in arrival decreasing the probability of retaining a territory by 80%. These collective observations, in combination with theoretical studies of population regulation by floaters (non-territorial birds), suggest that lake habitat suitable for breeding Yellow-billed Loons may currently limit population size in this species.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.037.sp108","usgsCitation":"Schmutz, J.A., Wright, K., DeSorbo, C.R., Fair, J., Evers, D.C., Uher-Koch, B.D., and Mulcahy, D.M., 2014, Size and retention of breeding territories of yellow-billed loons in Alaska and Canada: Waterbirds, v. 37, no. 1, p. 53-63, https://doi.org/10.1675/063.037.sp108.","productDescription":"11 p.","startPage":"53","endPage":"63","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045992","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296410,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -141.328125,\n 71.63599288330606\n ],\n [\n -141.6796875,\n 58.81374171570782\n ],\n [\n -178.2421875,\n 50.62507306341435\n ],\n [\n -165.76171875,\n 71.69129271863999\n ],\n [\n -141.328125,\n 71.63599288330606\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.90625,\n 66.23145747862573\n ],\n [\n -109.6875,\n 66.26685631430843\n ],\n [\n -109.423828125,\n 63.97596090918338\n ],\n [\n -113.99414062499999,\n 64.24459476798192\n ],\n [\n -113.90625,\n 66.23145747862573\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5480261ce4b0ac64d148dcde","contributors":{"authors":[{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Kenneth G.","contributorId":127672,"corporation":false,"usgs":true,"family":"Wright","given":"Kenneth G.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":526256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeSorbo, Christopher R.","contributorId":127667,"corporation":false,"usgs":false,"family":"DeSorbo","given":"Christopher","email":"","middleInitial":"R.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":526257,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fair, Jeff","contributorId":127668,"corporation":false,"usgs":false,"family":"Fair","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":526258,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evers, David C.","contributorId":96160,"corporation":false,"usgs":false,"family":"Evers","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":526259,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526218,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mulcahy, Daniel M. dmulcahy@usgs.gov","contributorId":3102,"corporation":false,"usgs":true,"family":"Mulcahy","given":"Daniel","email":"dmulcahy@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":526219,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70134602,"text":"70134602 - 2014 - Historic and contemporary mercury exposure and potential risk to yellow-billed loons (Gavia adamsii) breeding in Alaska and Canada","interactions":[],"lastModifiedDate":"2017-01-12T11:51:55","indexId":"70134602","displayToPublicDate":"2014-12-03T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Historic and contemporary mercury exposure and potential risk to yellow-billed loons (Gavia adamsii) breeding in Alaska and Canada","docAbstract":"The Yellow-billed Loon (Gavia adamsii) is one of the rarest breeding birds in North America. Because of the small population size and patchy distribution, any stressor to its population is of concern. To determine risks posed by environmental mercury (Hg) loads, we captured 115 Yellow-billed Loons between 2002 and 2012 in the North American Arctic and sampled their blood and/or feather tissues and collected nine eggs. Museum samples from Yellow-billed Loons also were analyzed to examine potential changes in Hg exposure over time. An extensive database of published Hg concentrations and associated adverse effects in Common Loons (G. immer) is highly informative and representative for Yellow-billed Loons. Blood Hg concentrations reflect dietary uptake of methylmercury (MeHg) from breeding areas and are generally considered near background levels if less than 1.0 µg/g wet weight (ww). Feather (grown at wintering sites) and egg Hg concentrations can represent a mix of breeding and wintering dietary uptake of MeHg. Based on Common Loon studies, significant risk of reduced reproductive success generally occurs when adult Hg concentrations exceed 2.0 µg/g ww in blood, 20.0 µg/g fresh weight (fw) in flight feathers and 1.0 µg/g ww in eggs. Contemporary mercury concentrations for 176 total samples (across all study sites for 115 Yellow-billed Loons) ranged from 0.08 to 1.45 µg/g ww in blood, 3.0 to 24.9 µg/g fw in feathers and 0.21 to 1.23 µg/g ww in eggs. Mercury concentrations in blood, feather and egg tissues indicate that some individual Yellow-billed Loons in breeding populations across North America are at risk of lowered productivity resulting from Hg exposure. Most Yellow-billed Loons breeding in Alaska overwinter in marine waters of eastern Asia. Although blood Hg concentrations from most breeding loons in Alaska are within background levels, some individuals exhibit elevated feather and egg Hg concentrations, which likely indicate the uptake of MeHg originating from eastern Asia. Feather Hg concentrations tended to be highest in individuals overwintering farthest west (closer to Asia). A retrospective analysis of museum specimens (n = 25) found a two-fold increase in Yellow-billed Loon feather Hg concentrations from the pre-1920s (as early as 1845) to the present. The projected increase in Hg deposition (approximately four-fold by 2050) along with the uncertainty of Hg being released through the thawing of permafrost and Arctic sea ice suggest that Hg body burdens in Yellow-billed Loons may increase. These findings indicate that Hg is a current and potentially increasing environmental stressor for the Yellow-billed Loon and possibly other Nearctic-Palearctic migrant birds.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.037.sp117","usgsCitation":"Evers, D.C., Schmutz, J.A., Basu, N., DeSorbo, C.R., Fair, J., Gray, C., Paruk, J.D., Perkins, M., Regan, K., Uher-Koch, B.D., and Wright, K., 2014, Historic and contemporary mercury exposure and potential risk to yellow-billed loons (Gavia adamsii) breeding in Alaska and Canada: Waterbirds, v. 37, no. 1, p. 147-159, https://doi.org/10.1675/063.037.sp117.","productDescription":"13 p.","startPage":"147","endPage":"159","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052422","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":472594,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.037.sp117","text":"Publisher Index Page"},{"id":296407,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska","volume":"37","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54802619e4b0ac64d148dcd2","contributors":{"authors":[{"text":"Evers, David C.","contributorId":96160,"corporation":false,"usgs":false,"family":"Evers","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":526224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Basu, Niladri","contributorId":60085,"corporation":false,"usgs":false,"family":"Basu","given":"Niladri","email":"","affiliations":[],"preferred":false,"id":526241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeSorbo, Christopher R.","contributorId":127667,"corporation":false,"usgs":false,"family":"DeSorbo","given":"Christopher","email":"","middleInitial":"R.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":526242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fair, Jeff","contributorId":127668,"corporation":false,"usgs":false,"family":"Fair","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":526243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, Carrie E.","contributorId":127669,"corporation":false,"usgs":false,"family":"Gray","given":"Carrie E.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false},{"id":25572,"text":"University of Maine, Orono","active":true,"usgs":false}],"preferred":false,"id":526244,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Paruk, James D.","contributorId":127670,"corporation":false,"usgs":false,"family":"Paruk","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":526245,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Perkins, Marie","contributorId":22957,"corporation":false,"usgs":false,"family":"Perkins","given":"Marie","email":"","affiliations":[],"preferred":false,"id":526246,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Regan, Kevin","contributorId":127671,"corporation":false,"usgs":false,"family":"Regan","given":"Kevin","email":"","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":526247,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526223,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wright, Kenneth G.","contributorId":127672,"corporation":false,"usgs":true,"family":"Wright","given":"Kenneth G.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":526248,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70134479,"text":"70134479 - 2014 - Links between N deposition and nitrate export from a high-elevation watershed in the Colorado Front Range","interactions":[],"lastModifiedDate":"2018-02-21T17:55:44","indexId":"70134479","displayToPublicDate":"2014-12-03T11:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Links between N deposition and nitrate export from a high-elevation watershed in the Colorado Front Range","docAbstract":"Long-term patterns of stream nitrate export and atmospheric N deposition were evaluated over three decades in Loch Vale, a high-elevation watershed in the Colorado Front Range. Stream nitrate concentrations increased in the early 1990s, peaked in the mid-2000s, and have since declined by over 40%, coincident with trends in nitrogen oxide emissions over the past decade. Similarities in the timing and magnitude of N deposition provide evidence that stream chemistry is responding to changes in atmospheric deposition. The response to deposition was complicated by a drought in the early 2000s that enhanced N export for several years. Other possible explanations, including forest disturbance, snow depth, or permafrost melting, could not explain patterns in N export. Our results show that stream chemistry responds rapidly to changes in N deposition in high-elevation watersheds, similar to the response observed to changes in sulfur deposition.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/es502461k","usgsCitation":"Mast, M.A., Clow, D.W., Baron, J., and Wetherbee, G.A., 2014, Links between N deposition and nitrate export from a high-elevation watershed in the Colorado Front Range: Environmental Science & Technology, v. 48, no. 24, p. 14258-14265, https://doi.org/10.1021/es502461k.","productDescription":"8 p.","startPage":"14258","endPage":"14265","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057016","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":296406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Colorado Front Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.5289306640625,\n 40.43858586704331\n ],\n [\n -105.4522705078125,\n 40.41767833585551\n ],\n [\n -105.44128417968749,\n 39.76210275375137\n ],\n [\n -106.61132812499999,\n 39.74521015328692\n ],\n [\n -106.5289306640625,\n 40.43858586704331\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"24","noUsgsAuthors":false,"publicationDate":"2014-11-26","publicationStatus":"PW","scienceBaseUri":"5480261ae4b0ac64d148dcd4","chorus":{"doi":"10.1021/es502461k","url":"http://dx.doi.org/10.1021/es502461k","publisher":"American Chemical Society (ACS)","authors":"Mast M. Alisa, Clow David W., Baron Jill S., Wetherbee Gregory A.","journalName":"Environmental Science & Technology","publicationDate":"12/16/2014","auditedOn":"12/29/2014"},"contributors":{"authors":[{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":525999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294 wetherbe@usgs.gov","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":1044,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"wetherbe@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":526000,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70134551,"text":"70134551 - 2014 - Use of glacier river-fed estuary channels by juvenile coho salmon: transitional or rearing habitats?","interactions":[],"lastModifiedDate":"2014-12-03T09:35:19","indexId":"70134551","displayToPublicDate":"2014-12-03T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Use of glacier river-fed estuary channels by juvenile coho salmon: transitional or rearing habitats?","docAbstract":"Estuaries are among the most productive ecosystems in the world and provide important rearing environments for a variety of fish species. Though generally considered important transitional habitats for smolting salmon, little is known about the role that estuaries serve for rearing and the environmental conditions important for salmon. We illustrate how juvenile coho salmonOncorhynchus kisutch use a glacial river-fed estuary based on examination of spatial and seasonal variability in patterns of abundance, fish size, age structure, condition, and local habitat use. Fish abundance was greater in deeper channels with cooler and less variable temperatures, and these habitats were consistently occupied throughout the season. Variability in channel depth and water temperature was negatively associated with fish abundance. Fish size was negatively related to site distance from the upper extent of the tidal influence, while fish condition did not relate to channel location within the estuary ecotone. Our work demonstrates the potential this glacially-fed estuary serves as both transitional and rearing habitat for juvenile coho salmon during smolt emigration to the ocean, and patterns of fish distribution within the estuary correspond to environmental conditions.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-013-0183-x","usgsCitation":"Hoem Neher, T.D., Rosenberger, A.E., Zimmerman, C.E., Walker, C.M., and Baird, S.J., 2014, Use of glacier river-fed estuary channels by juvenile coho salmon: transitional or rearing habitats?: Environmental Biology of Fishes, v. 97, no. 7, p. 839-850, https://doi.org/10.1007/s10641-013-0183-x.","productDescription":"12 p.","startPage":"839","endPage":"850","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049191","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":296405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kachemak Bay","volume":"97","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-10-12","publicationStatus":"PW","scienceBaseUri":"5480261ce4b0ac64d148dce4","contributors":{"authors":[{"text":"Hoem Neher, Tammy D.","contributorId":48104,"corporation":false,"usgs":true,"family":"Hoem Neher","given":"Tammy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":526236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":526237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":526159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Coowe M.","contributorId":96182,"corporation":false,"usgs":false,"family":"Walker","given":"Coowe","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":526238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baird, Steven J.","contributorId":12375,"corporation":false,"usgs":false,"family":"Baird","given":"Steven","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":526239,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70119848,"text":"sir20145145 - 2014 - Methods for estimating drought streamflow probabilities for Virginia streams","interactions":[],"lastModifiedDate":"2014-12-03T09:06:53","indexId":"sir20145145","displayToPublicDate":"2014-12-03T09:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5145","title":"Methods for estimating drought streamflow probabilities for Virginia streams","docAbstract":"Maximum likelihood logistic regression model equations used to estimate drought flow probabilities for Virginia streams are presented for 259 hydrologic basins in Virginia. Winter streamflows were used to estimate the likelihood of streamflows during the subsequent drought-prone summer months. The maximum likelihood logistic regression models identify probable streamflows from 5 to 8 months in advance. More than 5 million streamflow daily values collected over the period of record (January 1, 1900 through May 16, 2012) were compiled and analyzed over a minimum 10-year (maximum 112-year) period of record. The analysis yielded the 46,704 equations with statistically significant fit statistics and parameter ranges published in two tables in this report. These model equations produce summer month (July, August, and September) drought flow threshold probabilities as a function of streamflows during the previous winter months (November, December, January, and February). Example calculations are provided, demonstrating how to use the equations to estimate probable streamflows as much as 8 months in advance.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145145","collaboration":"Prepared in cooperation with the Virginia Department of Environmental Quality.","usgsCitation":"Austin, S.H., 2014, Methods for estimating drought streamflow probabilities for Virginia streams: U.S. Geological Survey Scientific Investigations Report 2014-5145, Report: vi, 20 p.; 2 Tables, https://doi.org/10.3133/sir20145145.","productDescription":"Report: vi, 20 p.; 2 Tables","numberOfPages":"32","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046130","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":296401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145145.jpg"},{"id":296399,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5145/pdf/sir2014-5145.pdf","text":"Report","size":"2.47 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296398,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5145/"},{"id":296400,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2014/5145/table","text":"Tables 1 and 2","size":"80 KB","linkFileType":{"id":3,"text":"xlsx"}}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.68408203124999,\n 39.50404070558415\n ],\n [\n -76.97021484375,\n 39.436192999314095\n ],\n [\n -75.8056640625,\n 36.4566360115962\n ],\n [\n -83.82568359375,\n 36.54494944148322\n ],\n [\n -78.68408203124999,\n 39.50404070558415\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5480261ae4b0ac64d148dcd6","contributors":{"authors":[{"text":"Austin, Samuel H. 0000-0001-5626-023X saustin@usgs.gov","orcid":"https://orcid.org/0000-0001-5626-023X","contributorId":153,"corporation":false,"usgs":true,"family":"Austin","given":"Samuel","email":"saustin@usgs.gov","middleInitial":"H.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":526225,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70134326,"text":"70134326 - 2014 - Estimation of potential evapotranspiration from extraterrestrial radiation, air temperature and humidity to assess future climate change effects on the vegetation of the Northern Great Plains, USA","interactions":[],"lastModifiedDate":"2020-12-23T15:39:03.087774","indexId":"70134326","displayToPublicDate":"2014-12-02T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of potential evapotranspiration from extraterrestrial radiation, air temperature and humidity to assess future climate change effects on the vegetation of the Northern Great Plains, USA","docAbstract":"The potential evapotranspiration (PET) that would occur with unlimited plant access to water is a central driver of simulated plant growth in many ecological models. PET is influenced by solar and longwave radiation, temperature, wind speed, and humidity, but it is often modeled as a function of temperature alone. This approach can cause biases in projections of future climate impacts in part because it confounds the effects of warming due to increased greenhouse gases with that which would be caused by increased radiation from the sun. We developed an algorithm for linking PET to extraterrestrial solar radiation (incoming top-of atmosphere solar radiation), as well as temperature and atmospheric water vapor pressure, and incorporated this algorithm into the dynamic global vegetation model MC1. We tested the new algorithm for the Northern Great Plains, USA, whose remaining grasslands are threatened by continuing woody encroachment. Both the new and the standard temperature-dependent MC1 algorithm adequately simulated current PET, as compared to the more rigorous PenPan model of Rotstayn et al. (2006). However, compared to the standard algorithm, the new algorithm projected a much more gradual increase in PET over the 21st century for three contrasting future climates. This difference led to lower simulated drought effects and hence greater woody encroachment with the new algorithm, illustrating the importance of more rigorous calculations of PET in ecological models dealing with climate change.
","language":"English","publisher":"Elsevier Science B.V.","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolmodel.2014.10.037","usgsCitation":"King, D.A., Bachelet, D.M., Symstad, A.J., Ferschweiler, K., and Hobbins, M., 2014, Estimation of potential evapotranspiration from extraterrestrial radiation, air temperature and humidity to assess future climate change effects on the vegetation of the Northern Great Plains, USA: Ecological Modelling, v. 297, p. 86-97, https://doi.org/10.1016/j.ecolmodel.2014.10.037.","productDescription":"12 p.","startPage":"86","endPage":"97","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056289","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":296372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Nebraska, North Dakota, South Dakota, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.86328125,\n 41.21172151054787\n ],\n [\n -97.05322265625,\n 41.21172151054787\n ],\n [\n -97.05322265625,\n 48.850258199721495\n ],\n [\n -109.86328125,\n 48.850258199721495\n ],\n [\n -109.86328125,\n 41.21172151054787\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"297","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ed4a2e4b09357f05f8a1f","contributors":{"authors":[{"text":"King, David A.","contributorId":7160,"corporation":false,"usgs":true,"family":"King","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":525886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bachelet, Dominique M.","contributorId":89042,"corporation":false,"usgs":true,"family":"Bachelet","given":"Dominique","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":525887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Symstad, Amy J. 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":147543,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy","email":"asymstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":525885,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferschweiler, Ken","contributorId":127604,"corporation":false,"usgs":false,"family":"Ferschweiler","given":"Ken","affiliations":[{"id":7074,"text":"Conservation Biology Institute, Covallis OR","active":true,"usgs":false}],"preferred":false,"id":525888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hobbins, Michael","contributorId":127605,"corporation":false,"usgs":false,"family":"Hobbins","given":"Michael","email":"","affiliations":[{"id":7075,"text":"National Integrated Drought Information System, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":525889,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70127626,"text":"ofr20141212 - 2014 - Documentation for the U.S. Geological Survey Public-Supply Database (PSDB): A database of permitted public-supply wells, surface-water intakes, and systems in the United States","interactions":[],"lastModifiedDate":"2017-10-12T20:07:31","indexId":"ofr20141212","displayToPublicDate":"2014-12-02T09:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1212","title":"Documentation for the U.S. Geological Survey Public-Supply Database (PSDB): A database of permitted public-supply wells, surface-water intakes, and systems in the United States","docAbstract":"The U.S. Geological Survey (USGS) has developed a database containing information about wells, surface-water intakes, and distribution systems that are part of public water systems across the United States, its territories, and possessions. Programs of the USGS such as the National Water Census, the National Water Use Information Program, and the National Water-Quality Assessment Program all require a complete and current inventory of public water systems, the sources of water used by those systems, and the size of populations served by the systems across the Nation. Although the U.S. Environmental Protection Agency’s Safe Drinking Water Information System (SDWIS) database already exists as the primary national Federal database for information on public water systems, the Public-Supply Database (PSDB) was developed to add value to SDWIS data with enhanced location and ancillary information, and to provide links to other databases, including the USGS’s National Water Information System (NWIS) database.
\nThe purpose of this report is to document the PSDB and explain the methods used to populate and update the data from the SDWIS, State datasets, and map and geospatial imagery. This report describes 3 data tables and 11 domain tables, including field contents, data sources, and relations between tables. Although the PSDB database is not available to the general public, this information should be useful for others who are developing other database systems to store and analyze public-supply system and facility data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141212","usgsCitation":"Price, C.V., and Maupin, M.A., 2014, Documentation for the U.S. Geological Survey Public-Supply Database (PSDB): A database of permitted public-supply wells, surface-water intakes, and systems in the United States: U.S. Geological Survey Open-File Report 2014-1212, v, 22 p., https://doi.org/10.3133/ofr20141212.","productDescription":"v, 22 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-054109","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":296349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141212.jpg"},{"id":296332,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1212/"},{"id":296348,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1212/pdf/of2014-1212.pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ed4a1e4b09357f05f8a1b","contributors":{"authors":[{"text":"Price, Curtis V. 0000-0002-4315-3539 cprice@usgs.gov","orcid":"https://orcid.org/0000-0002-4315-3539","contributorId":983,"corporation":false,"usgs":true,"family":"Price","given":"Curtis","email":"cprice@usgs.gov","middleInitial":"V.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":526043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maupin, Molly A. 0000-0002-2695-5505 mamaupin@usgs.gov","orcid":"https://orcid.org/0000-0002-2695-5505","contributorId":951,"corporation":false,"usgs":true,"family":"Maupin","given":"Molly","email":"mamaupin@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":526044,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70128630,"text":"fs20143080 - 2014 - Water resources of Vermilion Parish, Louisiana","interactions":[],"lastModifiedDate":"2014-12-02T09:20:07","indexId":"fs20143080","displayToPublicDate":"2014-12-02T09:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3080","title":"Water resources of Vermilion Parish, Louisiana","docAbstract":"Information concerning the availability, use, and quality of water in Vermilion Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143080","collaboration":"Louisiana Department of Transportation and Development","usgsCitation":"Prakken, L.B., and White, V.E., 2014, Water resources of Vermilion Parish, Louisiana: U.S. Geological Survey Fact Sheet 2014-3080, 6 p., https://doi.org/10.3133/fs20143080.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057861","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":296342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143080.jpg"},{"id":296341,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3080/pdf/fs2014-3080.pdf"},{"id":296327,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3080/"}],"projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Louisiana","city":"Vermilion Parish","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.61337280273438,\n 29.513720234908057\n ],\n [\n -92.61337280273438,\n 30.20567424070585\n ],\n [\n -91.91986083984375,\n 30.20567424070585\n ],\n [\n -91.91986083984375,\n 29.513720234908057\n ],\n [\n -92.61337280273438,\n 29.513720234908057\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ed4a9e4b09357f05f8a2f","contributors":{"authors":[{"text":"Prakken, Lawrence B. lprakken@usgs.gov","contributorId":2319,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence","email":"lprakken@usgs.gov","middleInitial":"B.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":526029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":526030,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70125305,"text":"sir20145181 - 2014 - Estimates of groundwater recharge rates and sources in the East Mountain area, Eastern Bernalillo County, New Mexico, 2005-12","interactions":[],"lastModifiedDate":"2014-12-02T09:29:33","indexId":"sir20145181","displayToPublicDate":"2014-12-02T09:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5181","title":"Estimates of groundwater recharge rates and sources in the East Mountain area, Eastern Bernalillo County, New Mexico, 2005-12","docAbstract":"The U.S. Geological Survey, in cooperation with the Bernalillo County Public Works Division, has conducted a monitoring program in the East Mountain area of eastern Bernalillo County, New Mexico, since 2000 to better define the hydrogeologic characteristics of the East Mountain area and to provide scientific information that will assist in the sustainable management of water resources. This report presents estimates of groundwater recharge to the aquifers that supply water to a network of springs that discharged within the East Mountain area of eastern Bernalillo County during 2005–12. Chloride concentration, the mass ratio of chloride to bromide, and the stable isotope ratios of hydrogen and oxygen were used to estimate annual groundwater recharge rates and to identify the sources and timing of recharge to the aquifers in the East Mountain area. Groundwater recharge rates were estimated by using a chloride mass-balance (CMB) method applied to data from selected springs located in the study area.
\nEleven springs and four downgradient monitoring wells were sampled for this study. On the basis of chloride concentrations and the mass ratio of chloride to bromide, eight of the eleven sampled springs are considered representative of dilute groundwater recharged by meteoric water in the Sandia Mountains. Eight of the eleven springs sampled as part of this investigation are considered representative of dilute groundwater not influenced by nonmeteoric chloride sources on the basis of analysis of chloride concentrations and the mass ratio of chloride to bromide. Chloride concentrations at three of the sampled springs were likely affected by nonmeteoric chloride sources.
\nResults of CMB calculations for the eight springs with Cl:Br ratios and chloride concentrations within the range of dilute groundwater (not influenced by nonmeteoric chloride sources) indicated that between about 5.5 and 23 percent of annual precipitation recharges the groundwater system. The variation in estimated recharge rates indicated that the mechanisms for recharge and groundwater movement in the East Mountain area are complex and that factors such as climate variability, the extent and interconnection of structural features such as faults and fractures, and potential solution enhancement of the aquifers all play important roles in the rates and timing of recharge.
\nStable isotope data from springs and snowpacks sampled in the East Mountain area were compared with local, regional, and global meteoric water lines and were analyzed along with values representing the stable isotope composition of winter precipitation and summer monsoonal rains. Results of the stable isotope analysis from springs in this study suggested that winter precipitation is the primary source of groundwater recharge to the aquifers supplying the springs, but there is a component of more isotopically enriched precipitation being recharged as well, likely from summer monsoonal rains. Specific conductance, groundwater-level hydrographs, snowpack chemistry, and snow-water equivalent data were used to inform the analyses and corroborate the findings of the CMB and stable isotope results.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145181","collaboration":"Bernalillo County Public Works Natural Resource Services","usgsCitation":"Rice, S.E., and Crilley, D.M., 2014, Estimates of groundwater recharge rates and sources in the East Mountain area, Eastern Bernalillo County, New Mexico, 2005-12: U.S. Geological Survey Scientific Investigations Report 2014-5181, vii, 24 p., https://doi.org/10.3133/sir20145181.","productDescription":"vii, 24 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056751","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":296345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145181.jpg"},{"id":296344,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5181/pdf/sir2014-5181.pdf"},{"id":296331,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5181/"}],"scale":"100000","projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"New Mexico","county":"Bernalillo County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.48199462890625,\n 34.57442951865274\n ],\n [\n -107.48199462890625,\n 36.049098959065645\n ],\n [\n -105.8917236328125,\n 36.049098959065645\n ],\n [\n -105.8917236328125,\n 34.57442951865274\n ],\n [\n -107.48199462890625,\n 34.57442951865274\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ed4a1e4b09357f05f8a1d","contributors":{"authors":[{"text":"Rice, Steven E. srice@usgs.gov","contributorId":5438,"corporation":false,"usgs":true,"family":"Rice","given":"Steven","email":"srice@usgs.gov","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":526041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crilley, Dianna M. 0000-0003-0432-5948 dcrilley@usgs.gov","orcid":"https://orcid.org/0000-0003-0432-5948","contributorId":3896,"corporation":false,"usgs":true,"family":"Crilley","given":"Dianna","email":"dcrilley@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":526042,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70128631,"text":"fs20143074 - 2014 - Water resources of Jefferson Davis Parish, Louisiana","interactions":[],"lastModifiedDate":"2014-12-02T09:11:27","indexId":"fs20143074","displayToPublicDate":"2014-12-02T09:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3074","title":"Water resources of Jefferson Davis Parish, Louisiana","docAbstract":"Information concerning the availability, use, and quality of water in Jefferson Davis Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143074","collaboration":"Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., and Prakken, L.B., 2014, Water resources of Jefferson Davis Parish, Louisiana: U.S. Geological Survey Fact Sheet 2014-3074, 6 p., https://doi.org/10.3133/fs20143074.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057862","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":296340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143074.jpg"},{"id":296339,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3074/pdf/fs2014-3074.pdf"},{"id":296328,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3074/"}],"projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Louisiana","county":"Jefferson Davis Parish","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.06655883789062,\n 30.002516938570686\n ],\n [\n -93.06655883789062,\n 30.497201140169295\n ],\n [\n -92.46368408203125,\n 30.497201140169295\n ],\n [\n -92.46368408203125,\n 30.002516938570686\n ],\n [\n -93.06655883789062,\n 30.002516938570686\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ed4a8e4b09357f05f8a2d","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":526032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prakken, Lawrence B. lprakken@usgs.gov","contributorId":2319,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence","email":"lprakken@usgs.gov","middleInitial":"B.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":526031,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70124986,"text":"sir20145176 - 2014 - Evaluation of a mass-balance approach to determine consumptive water use in northeastern Illinois","interactions":[],"lastModifiedDate":"2014-12-02T08:59:49","indexId":"sir20145176","displayToPublicDate":"2014-12-02T09:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5176","title":"Evaluation of a mass-balance approach to determine consumptive water use in northeastern Illinois","docAbstract":"A principal component of evaluating and managing water use is consumptive use. This is the portion of water withdrawn for a particular use, such as residential, which is evaporated, transpired, incorporated into products or crops, consumed by humans or livestock, or otherwise removed from the immediate water environment. The amount of consumptive use may be estimated by a water (mass)-balance approach; however, because of the difficulty of obtaining necessary data, its application typically is restricted to the facility scale. The general governing mass-balance equation is: Consumptive use = Water supplied - Return flows.
\nThis study explored a mass-balance field-based computation of consumptive use in a residential setting at the scale of a sanitary sewer service area (sewershed). In addition, the feasibility (cost and difficulty) and relative uncertainties (accuracies) associated with applying the approach at this scale were evaluated. The study was conducted during 2011–13 within a 3.5-square mile (mi2) sewershed confined to a predominantly residential area of Elk Grove Village, Illinois. Following background evaluation of the geohydrologic setting, sewershed infrastructure, and possible components of supplied and returned water, the identified primary components were
\n1. public water deliveries by the Elk Grove Village Department of Public Works,
\n2. self-served groundwater withdrawals in an included unincorporated neighborhood with public sanitary sewer service,
\n3. return flows to the sanitary sewer system, and
\n4. direct return of water discharged from swimming pools to Salt Creek. Water volumes principally were reported for deliveries, measured for sanitary sewer returns by using an acoustic Doppler current-velocity meter, and estimated for domestic withdrawals and swimming pool discharges to storm sewers. All water volumes required some degree of estimation. Observation wells were installed adjacent to sewer pipelines (lines) to determine the depth of the water table relative to that of the sewer lines and to collect water samples for detection of optical brighteners, as they are routinely discharged as clotheswashing waste to sanitary sewers. These data provided qualitative information on gains (inflow and infiltration) and losses (exfiltration) of sewer flow by pipe leakage, which might otherwise not be considered in the sewer flow return measurements. Hydrographs of sewer flow also were evaluated to identify and estimate storm-associated inputs to sewer flow.
\nThe volume of sanitary sewer return flow (778 million gallons per year [Mgal/yr]) was determined to substantially exceed the volume of supplied water (566 Mgal/yr), thus, for this study setting, voiding the utility of the applied mass-balance approach for estimating consumptive water use. Mass-balance components, including sanitary sewer flow and supplied-water use, were estimated within reasonable limits of uncertainty. Evidence of a water table that is typically shallower than the area’s sewer lines, yet is sometimes depressed near more deeply buried sewer lines, suggests groundwater infiltration into the sewers contributes to the excess volume of return flow. Technical obstacles and project resources precluded accurate quantification of infiltration volumes and other gains and losses to sanitary sewer flow. As estimated from various simplified methods, a minimum of 26 percent of return flow measured in the sanitary sewer represented groundwater infiltration and stormwater inflow; separately, about 2 percent of return flow was estimated as inflow. On the basis of the alternative winter base-rate method, consumptive use in the sewershed was estimated as 13 percent, which compares favorably with that used by the State of Illinois for Lake Michigan allocation accounting (10 percent) and other States and Canadian Provinces in the Great Lakes region (generally 10-15 percent).
\nThe study also provided other findings considered useful to studies of water use and to performance evaluation of sanitary sewer infrastructure. In urban residential settings, the comparatively small volumes of nonpublic sources of water (self-supplied) and direct (nonsanitary) return flow potentially can be ignored in the estimation of consumptive use. An acoustic Doppler current-velocity meter can be used in sanitary sewers to accurately measure discharge and reasonably estimate storm-associated inflows. Hourly to daily patterns of water use can be readily identified and quantified in the return flow record for the sanitary sewers. Relative volumes of infiltration gains (and exfiltration losses) can be substantial, even in sewer systems of communities making significant investments in system upgrades to limit sewer line leakage. Monitoring of optical brighteners in groundwater (and potentially in sanitary sewer flow) can provide a useful means of identifying probable leakage from (and to) sewer lines. Accurate quantification of gains and losses to sanitary sewer flow at the sewershed scale will require additional research effort and technical advances.
\nUnder ideal conditions, accurate quantification of consumptive use at the sewershed scale by the described mass-balance approach might be possible. Under most prevailing conditions, quantification likely would be more costly and time consuming than that of the present study, given the freely contributed technical support of the host community and relatively appropriate conditions of the study area. Essentials to quantification of consumptive use are a fully cooperative community, storm and sanitary sewers that are separate, and newer sewer infrastructure and (or) a robust program for limiting infiltration, exfiltration, and inflow.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145176","collaboration":"U.S. Army Corps of Engineers- Chicago District","usgsCitation":"Mills, P., Duncker, J.J., Over, T.M., Marian Domanski, Marian Domanski, and Engel, F.L., 2014, Evaluation of a mass-balance approach to determine consumptive water use in northeastern Illinois: U.S. Geological Survey Scientific Investigations Report 2014-5176, viii, 90 p., https://doi.org/10.3133/sir20145176.","productDescription":"viii, 90 p.","numberOfPages":"102","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-045730","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":296338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145176.jpg"},{"id":296317,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5176/"},{"id":296337,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5176/pdf/sir2014-5176.pdf"}],"country":"United States","state":"Illinois","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ed4a3e4b09357f05f8a21","contributors":{"authors":[{"text":"Mills, P.C. pcmills@usgs.gov","contributorId":3810,"corporation":false,"usgs":true,"family":"Mills","given":"P.C.","email":"pcmills@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duncker, James J. 0000-0001-5464-7991 jduncker@usgs.gov","orcid":"https://orcid.org/0000-0001-5464-7991","contributorId":4316,"corporation":false,"usgs":true,"family":"Duncker","given":"James","email":"jduncker@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":526058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Over, Thomas M. 0000-0001-8280-4368 tmover@usgs.gov","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":1819,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"tmover@usgs.gov","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marian Domanski","contributorId":128046,"corporation":true,"usgs":false,"organization":"Marian Domanski","id":535671,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marian Domanski","contributorId":127611,"corporation":false,"usgs":false,"family":"Marian Domanski","affiliations":[{"id":7078,"text":"USGS IL WSC","active":true,"usgs":false}],"preferred":false,"id":525969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engel, Frank L. 0000-0002-4253-2625 fengel@usgs.gov","orcid":"https://orcid.org/0000-0002-4253-2625","contributorId":5463,"corporation":false,"usgs":true,"family":"Engel","given":"Frank","email":"fengel@usgs.gov","middleInitial":"L.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":526059,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70133949,"text":"70133949 - 2014 - Colorimetric microtiter plate receptor-binding assay for the detection of freshwater and marine neurotoxins targeting the nicotinic acetylcholine receptors","interactions":[],"lastModifiedDate":"2018-09-14T16:45:35","indexId":"70133949","displayToPublicDate":"2014-12-01T16:45:27","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3614,"text":"Toxicon","active":true,"publicationSubtype":{"id":10}},"title":"Colorimetric microtiter plate receptor-binding assay for the detection of freshwater and marine neurotoxins targeting the nicotinic acetylcholine receptors","docAbstract":"Anatoxin-a and homoanatoxin-a, produced by cyanobacteria, are agonists of nicotinic acetylcholine receptors (nAChRs). Pinnatoxins, spirolides, and gymnodimines, produced by dinoflagellates, are antagonists of nAChRs. In this study we describe the development and validation of a competitive colorimetric, high throughput functional assay based on the mechanism of action of freshwater and marine toxins against nAChRs. Torpedo electrocyte membranes (rich in muscle-type nAChR) were immobilized and stabilized on the surface of 96-well microtiter plates. Biotinylated α-bungarotoxin (the tracer) and streptavidin-horseradish peroxidase (the detector) enabled the detection and quantitation of anatoxin-a in surface waters and cyclic imine toxins in shellfish extracts that were obtained from different locations across the US. The method compares favorably to LC/MS/MS and provides accurate results for anatoxin-a and cyclic imine toxins monitoring. Study of common constituents at the concentrations normally found in drinking and environmental waters, as well as the tolerance to pH, salt, solvents, organic and inorganic compounds did not significantly affect toxin detection. The assay allowed the simultaneous analysis of up to 25 samples within 3.5 h and it is well suited for on-site or laboratory monitoring of low levels of toxins in drinking, surface, and ground water as well as in shellfish extracts.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.toxicon.2014.08.073","usgsCitation":"Rubio, F., Kamp, L., Carpino, J., Faltin, E., Loftin, K.A., Molgo, J., and Araoz, R., 2014, Colorimetric microtiter plate receptor-binding assay for the detection of freshwater and marine neurotoxins targeting the nicotinic acetylcholine receptors: Toxicon, v. 91, p. 45-56, https://doi.org/10.1016/j.toxicon.2014.08.073.","productDescription":"12 p.","startPage":"45","endPage":"56","ipdsId":"IP-058160","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":357353,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546f10eae4b057be23d4a764","contributors":{"authors":[{"text":"Rubio, Fernando","contributorId":127503,"corporation":false,"usgs":false,"family":"Rubio","given":"Fernando","email":"","affiliations":[{"id":6979,"text":"Abraxis LLC","active":true,"usgs":false}],"preferred":false,"id":525622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kamp, Lisa","contributorId":127504,"corporation":false,"usgs":false,"family":"Kamp","given":"Lisa","email":"","affiliations":[{"id":6979,"text":"Abraxis LLC","active":true,"usgs":false}],"preferred":false,"id":525623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carpino, Justin","contributorId":127505,"corporation":false,"usgs":false,"family":"Carpino","given":"Justin","email":"","affiliations":[{"id":6979,"text":"Abraxis LLC","active":true,"usgs":false}],"preferred":false,"id":525624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faltin, Erin","contributorId":127506,"corporation":false,"usgs":false,"family":"Faltin","given":"Erin","email":"","affiliations":[{"id":6979,"text":"Abraxis LLC","active":true,"usgs":false}],"preferred":false,"id":525625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":525621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Molgo, Jordi","contributorId":127507,"corporation":false,"usgs":false,"family":"Molgo","given":"Jordi","email":"","affiliations":[{"id":6980,"text":"Centre de recherche CNRS de Gif-sur-Yvette","active":true,"usgs":false}],"preferred":false,"id":525626,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Araoz, Romulo","contributorId":127544,"corporation":false,"usgs":false,"family":"Araoz","given":"Romulo","email":"","affiliations":[{"id":6980,"text":"Centre de recherche CNRS de Gif-sur-Yvette","active":true,"usgs":false}],"preferred":false,"id":525627,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70136369,"text":"70136369 - 2014 - Exposure pathways and biological receptors: baseline data for the canyon uranium mine, Coconino County, Arizona","interactions":[],"lastModifiedDate":"2018-09-18T16:02:31","indexId":"70136369","displayToPublicDate":"2014-12-01T16:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Exposure pathways and biological receptors: baseline data for the canyon uranium mine, Coconino County, Arizona","docAbstract":"Recent restrictions on uranium mining within the Grand Canyon watershed have drawn attention to scientific data gaps in evaluating the possible effects of ore extraction to human populations as well as wildlife communities in the area. Tissue contaminant concentrations, one of the most basic data requirements to determine exposure, are not available for biota from any historical or active uranium mines in the region. The Canyon Uranium Mine is under development, providing a unique opportunity to characterize concentrations of uranium and other trace elements, as well as radiation levels in biota, found in the vicinity of the mine before ore extraction begins. Our study objectives were to identify contaminants of potential concern and critical contaminant exposure pathways for ecological receptors; conduct biological surveys to understand the local food web and refine the list of target species (ecological receptors) for contaminant analysis; and collect target species for contaminant analysis prior to the initiation of active mining. Contaminants of potential concern were identified as arsenic, cadmium, chromium, copper, lead, mercury, nickel, selenium, thallium, uranium, and zinc for chemical toxicity and uranium and associated radionuclides for radiation. The conceptual exposure model identified ingestion, inhalation, absorption, and dietary transfer (bioaccumulation or bioconcentration) as critical contaminant exposure pathways. The biological survey of plants, invertebrates, amphibians, reptiles, birds, and small mammals is the first to document and provide ecological information on .200 species in and around the mine site; this study also provides critical baseline information about the local food web. Most of the species documented at the mine are common to ponderosa pine Pinus ponderosa and pinyon–juniper Pinus–Juniperus spp. forests in northern Arizona and are not considered to have special conservation status by state or federal agencies; exceptions are the locally endemic Tusayan flameflower Phemeranthus validulus, the long-legged bat Myotis volans, and the Arizona bat Myotis occultus. The most common vertebrate species identified at the mine site included the Mexican spadefoot toad Spea multiplicata, plateau fence lizard Sceloporus tristichus, violetgreen swallow Tachycineta thalassina, pygmy nuthatch Sitta pygmaea, purple martin Progne subis, western bluebird Sialia mexicana, deermouse Peromyscus maniculatus, valley pocket gopher Thomomys bottae, cliff chipmunk Tamias dorsalis, black-tailed jackrabbit Lepus californicus, mule deer Odocoileus hemionus, and elk Cervus canadensis. A limited number of the most common species were collected for contaminant analysis to establish baseline contaminant and radiological concentrations prior to ore extraction. These empirical baseline data will help validate contaminant exposure pathways and potential threats from contaminant exposures to ecological receptors. Resource managers will also be able to use these data to determine the extent to which local species are exposed to chemical and radiation contamination once the mine is operational and producing ore. More broadly, these data could inform resource management decisions on mitigating chemical and radiation exposure of biota at high-grade uranium breccia pipes throughout the Grand Canyon watershed.
","language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Washington, D.C.","doi":"10.3996/052014-JFWM-039","usgsCitation":"Hinck, J.E., Linder, G.L., Darrah, A.J., Drost, C.A., Duniway, M.C., Johnson, M.J., Mendez-Harclerode, F.M., Nowak, E., Valdez, E.W., van Riper, C., and Wolff, S., 2014, Exposure pathways and biological receptors: baseline data for the canyon uranium mine, Coconino County, Arizona: Journal of Fish and Wildlife Management, v. 5, no. 2, p. 422-440, https://doi.org/10.3996/052014-JFWM-039.","productDescription":"19 p.","startPage":"422","endPage":"440","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055758","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":503850,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zotero.org/groups/5435545/items/3N456ASF","text":"External Repository"},{"id":296952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","county":"Coconino County","otherGeospatial":"Canyon Uranium Mine","volume":"5","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a76e4b08de9379b307f","contributors":{"authors":[{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":537450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linder, Greg L. linder2@usgs.gov","contributorId":1766,"corporation":false,"usgs":true,"family":"Linder","given":"Greg","email":"linder2@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":537454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Darrah, Abigail J. adarrah@usgs.gov","contributorId":5883,"corporation":false,"usgs":true,"family":"Darrah","given":"Abigail","email":"adarrah@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":537451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":537464,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":537452,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Matthew J. mjjohnson@usgs.gov","contributorId":3604,"corporation":false,"usgs":true,"family":"Johnson","given":"Matthew","email":"mjjohnson@usgs.gov","middleInitial":"J.","affiliations":[{"id":27989,"text":"Colorado Plateau Research Station, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":537453,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mendez-Harclerode, Francisca M.","contributorId":131136,"corporation":false,"usgs":false,"family":"Mendez-Harclerode","given":"Francisca","email":"","middleInitial":"M.","affiliations":[{"id":7259,"text":"Bethel College","active":true,"usgs":false}],"preferred":false,"id":537455,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nowak, Erika M.","contributorId":14062,"corporation":false,"usgs":true,"family":"Nowak","given":"Erika M.","affiliations":[],"preferred":false,"id":537456,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":537457,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"van Riper, Charles III 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process","interactions":[],"lastModifiedDate":"2015-12-23T14:36:41","indexId":"70160600","displayToPublicDate":"2014-12-01T15:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Conservation Action Planning: Lessons learned from the St. Marys River watershed biodiversity conservation planning process","docAbstract":"Conservation Action Planning (CAP) is an adaptive management planning process refined by The Nature Conservancy (TNC) and embraced worldwide as the Open Standards for the Practice of Conservation. The CAP process facilitates open, multi-institutional collaboration on a common conservation agenda through organized actions and quantified results. While specifically designed for conservation efforts, the framework is adaptable and flexible to multiple scales and can be used for any collaborative planning effort. The CAP framework addresses inception; design and development of goals, measures, and strategies; and plan implementation and evaluation. The specific components of the CAP include defining the project scope and conservation targets; assessing the ecological viability; ascertaining threats and surrounding situation; identifying opportunities and designing strategies for action; and implementing actions and monitoring results. In 2007, TNC and a multidisciplinary graduate student team from the University of Michigan's School of Natural Resources and Environment initiated a CAP for the St. Marys River, the connecting channel between Lake Superior and Lake Huron, and its local watershed. The students not only gained experience in conservation planning, but also learned lessons that notably benefited the CAP process and were valuable for any successful collaborative effort—a dedicated core team improved product quality, accelerated the timeline, and provided necessary support for ongoing efforts; an academic approach in preparation for engagement in the planning process brought applicable scientific research to the forefront, enhanced workshop facilitation, and improved stakeholder participation; and early and continuous interactions with regional stakeholders improved cooperation and built a supportive network for collaboration.
","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Toronto","doi":"10.1016/j.jglr.2013.07.003","collaboration":"Tamatha A. Patterson","usgsCitation":"Patterson, T., and Grundel, R., 2014, Conservation Action Planning: Lessons learned from the St. Marys River watershed biodiversity conservation planning process: Journal of Great Lakes Research, v. 40, no. 2, p. 7-14, https://doi.org/10.1016/j.jglr.2013.07.003.","productDescription":"8 p.","startPage":"7","endPage":"14","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049086","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":312837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","otherGeospatial":"St. Marys River Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.5013427734375,\n 46.638122462379656\n ],\n [\n -84.60845947265625,\n 46.5720787149159\n ],\n [\n -84.605712890625,\n 46.543749602738565\n ],\n [\n -84.638671875,\n 46.48326472915561\n ],\n [\n -84.67163085937499,\n 46.48704700597017\n ],\n [\n -84.814453125,\n 46.443534945303284\n ],\n [\n -84.847412109375,\n 46.44731998341687\n ],\n [\n -84.86663818359374,\n 46.4662412291809\n ],\n [\n -84.91058349609375,\n 46.4662412291809\n ],\n [\n -84.94354248046875,\n 46.48893804576338\n ],\n [\n -84.97100830078125,\n 46.47380788661107\n ],\n [\n -85.02044677734375,\n 46.481373492133784\n ],\n [\n -85.04791259765625,\n 46.50217348354072\n ],\n [\n -85.05340576171875,\n 46.521075663842836\n ],\n [\n -85.02319335937499,\n 46.541860469382804\n ],\n [\n -85.03692626953125,\n 46.56641407568593\n ],\n [\n -85.1934814453125,\n 46.481373492133784\n ],\n [\n -85.045166015625,\n 46.4056700993737\n ],\n [\n -84.89410400390625,\n 46.403776166694634\n ],\n [\n -84.8089599609375,\n 46.26534147068603\n ],\n [\n -84.7210693359375,\n 46.29571330898938\n ],\n [\n -84.6826171875,\n 46.244451065485094\n ],\n [\n -84.61944580078125,\n 46.231153027822046\n ],\n [\n -84.56451416015625,\n 46.24635052207288\n ],\n [\n -84.43817138671874,\n 46.07323062540838\n ],\n [\n -84.29809570312499,\n 46.052267141590704\n ],\n [\n -84.078369140625,\n 46.01603873833416\n ],\n [\n -83.880615234375,\n 45.96642454131025\n ],\n [\n -83.85314941406249,\n 46.00840867976965\n ],\n [\n -83.89434814453125,\n 46.06370275591751\n ],\n [\n -83.8751220703125,\n 46.09228143052649\n ],\n [\n -83.88885498046875,\n 46.10942153064164\n ],\n [\n -83.8751220703125,\n 46.13987966342405\n ],\n [\n -83.88885498046875,\n 46.15700496290803\n ],\n [\n -83.87786865234375,\n 46.15700496290803\n ],\n [\n -83.7982177734375,\n 46.13036330589103\n ],\n [\n -83.80645751953124,\n 46.160809861457125\n ],\n [\n -83.7762451171875,\n 46.17792864897331\n ],\n [\n -83.792724609375,\n 46.193140876238004\n ],\n [\n -83.77349853515625,\n 46.2330529447983\n ],\n [\n -83.80645751953124,\n 46.22545288226939\n ],\n [\n -83.836669921875,\n 46.24635052207288\n ],\n [\n -83.82293701171875,\n 46.26154380710643\n ],\n [\n -83.83941650390625,\n 46.263442671779885\n ],\n [\n -83.858642578125,\n 46.255846818480336\n ],\n [\n -83.9410400390625,\n 46.30520105581194\n ],\n [\n -83.9410400390625,\n 46.32417161725694\n ],\n [\n -83.91357421875,\n 46.33365443192931\n ],\n [\n -83.880615234375,\n 46.32417161725694\n ],\n [\n -83.8751220703125,\n 46.30140615437332\n ],\n [\n -83.82568359375,\n 46.29191774991382\n ],\n [\n -83.7982177734375,\n 46.354510837365254\n ],\n [\n -83.8861083984375,\n 46.462457505996056\n ],\n [\n -83.82293701171875,\n 46.64377960861833\n ],\n [\n -83.96026611328125,\n 46.741742832123364\n ],\n [\n -84.1278076171875,\n 46.75679832604253\n ],\n [\n -84.33654785156249,\n 46.730448451884826\n ],\n [\n -84.5013427734375,\n 46.638122462379656\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567bd3bbe4b0a04ef491a1f2","contributors":{"authors":[{"text":"Patterson, Tamatha A.","contributorId":150838,"corporation":false,"usgs":false,"family":"Patterson","given":"Tamatha A.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":583241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grundel, Ralph 0000-0002-2949-7087 rgrundel@usgs.gov","orcid":"https://orcid.org/0000-0002-2949-7087","contributorId":2444,"corporation":false,"usgs":true,"family":"Grundel","given":"Ralph","email":"rgrundel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583240,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70037889,"text":"70037889 - 2014 - Environmental DNA calibration study. Interim technical review report","interactions":[],"lastModifiedDate":"2015-10-30T14:12:53","indexId":"70037889","displayToPublicDate":"2014-12-01T15:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Environmental DNA calibration study. Interim technical review report","docAbstract":"Invasive aquatic nuisance species pose a major threat to aquatic ecosystems worldwide. Invasive Asian carps, including bighead carp (Hypophthalmichthys nobilis) and silver carp (H. molitrix) have been steadily dispersing upstream through the Mississippi, Illinois, and Des Plaines Rivers since the 1990s. To prevent further movement up the Illinois River into the Chicago Area Waterway System (CAWS, see Figures 1.1.1 to 1.1.3) and possibly Lake Michigan and the Great Lakes ecosystem, an electrical barrier has been operating near Lockport to deter the advance of Asian carp. Although one adult individual has been detected in Lockport pool of the Illinois Waterway, the leading edge of the invasion of bighead and silver carp is considered to be at RM 281.5 in Dresden Island Pool, 15 miles downstream from the barrier and 55 miles from Lake Michigan, and that front has not progressed upstream since 2006. Although spawning activity has been observed in Marseilles pool in 2012, verified capture of eggs and larvae remain downstream in Peoria pool, over 140 miles from Lake Michigan (Figure 1.1.1).
\nShould a sustainable Asian carp population become established in the Great Lakes, native fish populations, as well as many threatened or endangered plant/animal species populations, could be impacted. In response to this threat, the Asian Carp Regional Control Committee (ACRCC) was formed in part to coordinate efforts to understand and organize against the Asian carp threat. The Asian Carp Control Strategy Framework (2012a) outlined major tasks to be completed for a better understanding of factors related to the advance of Asian carp populations towards the Great Lakes. In addition, the ACRCC formed the Monitoring and Rapid Response Workgroup to address Asian carp monitoring and removal (ACRCC 2012b).
","publisherLocation":"Reston, VA","usgsCitation":"Baerwaldt, K., Bartron, M.L., Schilling, K., Lee, D., Russo, E., Estes, T., Fischer, R., Fleming, B., Guilfoyle, M.P., Kilgore, K.J., Lance, R., Perkins, E., Schultz, M., Smith, D., Amberg, J., Chapman, D., Gaikowski, M.P., Klymus, K.E., and Richter, C.A., 2014, Environmental DNA calibration study. Interim technical review report, ix, 189 p.","productDescription":"ix, 189 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035574","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":310832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":310831,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.asiancarp.us/documents/IP-057663_ECALS_Interim_Report_FINAL.pdf"}],"country":"United States","otherGeospatial":"Midwest waterways","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.0419921875,\n 37.16031654673677\n ],\n [\n -98.0419921875,\n 49.49667452747045\n ],\n [\n -78.662109375,\n 49.49667452747045\n ],\n [\n -78.662109375,\n 37.16031654673677\n ],\n [\n -98.0419921875,\n 37.16031654673677\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56349536e4b048076347fcd3","contributors":{"authors":[{"text":"Baerwaldt, K.","contributorId":21071,"corporation":false,"usgs":true,"family":"Baerwaldt","given":"K.","affiliations":[],"preferred":false,"id":578787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartron, Meredith L.","contributorId":149109,"corporation":false,"usgs":false,"family":"Bartron","given":"Meredith","email":"","middleInitial":"L.","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false},{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":578788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schilling, K.","contributorId":101423,"corporation":false,"usgs":true,"family":"Schilling","given":"K.","affiliations":[],"preferred":false,"id":578789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Debbie","contributorId":149106,"corporation":false,"usgs":false,"family":"Lee","given":"Debbie","affiliations":[{"id":17644,"text":"U.S. Army Corps of Engineers Great Lakes and Ohio Rivers Division","active":true,"usgs":false}],"preferred":false,"id":578790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Russo, Edmond","contributorId":116900,"corporation":false,"usgs":true,"family":"Russo","given":"Edmond","email":"","affiliations":[],"preferred":false,"id":514094,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Estes, Trudy","contributorId":149546,"corporation":false,"usgs":false,"family":"Estes","given":"Trudy","email":"","affiliations":[],"preferred":false,"id":578791,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fischer, Richard","contributorId":7128,"corporation":false,"usgs":true,"family":"Fischer","given":"Richard","affiliations":[],"preferred":false,"id":578792,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fleming, Beth","contributorId":120156,"corporation":false,"usgs":true,"family":"Fleming","given":"Beth","email":"","affiliations":[],"preferred":false,"id":514098,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Guilfoyle, Michael P.","contributorId":113717,"corporation":false,"usgs":true,"family":"Guilfoyle","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":578793,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kilgore, K. 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Our study integrates data on two variables that many riverine fishes respond to in selecting where to spawn in these waters (water flow velocity and water depth) with available maps of the St. Clair–Detroit River System (SC–DRS). Our objectives were to locate and map these two physical components of fish habitat in the St. Clair and Detroit rivers and Lake St. Clair using a geographic information system (GIS) and to identify where, theoretically, fish spawning habitat could be remediated in these rivers. The target fish species to which this model applies is lake sturgeon (Acipenser fulvescens), but spawning reefs constructed for lake sturgeon in this system have been used for spawning by 17 species of fish. Our analysis revealed areas in each river that possessed suitable water velocity and depth for fish spawning and therefore could theoretically be remediated by the addition of rock-rubble substrate like that used at two previously remediated sites in the Detroit River at Belle Isle and Fighting Island. Results of our analysis revealed that only 3% of the total area of the SC–DRS possesses the necessary combination of water depth and high flow velocity to be indicated by the model as potential spawning habitat for lake sturgeon.
","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Toronto","doi":"10.1016/j.jglr.2014.02.002","usgsCitation":"Bennion, D., and Manny, B.A., 2014, A model to locate potential areas for lake sturgeon spawning habitat construction in the St. Clair–Detroit River System: Journal of Great Lakes Research, v. 40, no. Supplement 2, p. 43-51, https://doi.org/10.1016/j.jglr.2014.02.002.","productDescription":"9 p.","startPage":"43","endPage":"51","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055219","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","otherGeospatial":"St. Clair - Detroit River system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.4688720703125,\n 43.05082689000007\n ],\n [\n -82.276611328125,\n 43.030753001428344\n ],\n [\n -82.49359130859375,\n 42.551056983385934\n ],\n [\n -82.38922119140625,\n 42.508552415528634\n ],\n [\n -82.38372802734375,\n 42.309815415686664\n ],\n [\n -82.4853515625,\n 42.273244264402734\n ],\n [\n -82.94952392578125,\n 42.309815415686664\n ],\n [\n -83.05389404296875,\n 42.259016415705766\n ],\n [\n -83.07037353515625,\n 42.04113400940809\n ],\n [\n -83.21319580078125,\n 42.0227732629691\n ],\n [\n -83.1884765625,\n 42.26714700815231\n ],\n [\n -82.957763671875,\n 42.415346114253616\n ],\n [\n -82.880859375,\n 42.583422001323584\n ],\n [\n -82.84515380859375,\n 42.68041629144619\n ],\n [\n -82.65838623046875,\n 42.718768102606354\n ],\n [\n -82.5457763671875,\n 42.66022161324799\n ],\n [\n -82.5238037109375,\n 42.783307077249624\n ],\n [\n -82.529296875,\n 42.90011265525328\n ],\n [\n -82.4688720703125,\n 43.05082689000007\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"Supplement 2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56850e46e4b0a04ef493379f","contributors":{"authors":[{"text":"Bennion, David 0000-0003-4927-4195 dbennion@usgs.gov","orcid":"https://orcid.org/0000-0003-4927-4195","contributorId":149533,"corporation":false,"usgs":true,"family":"Bennion","given":"David","email":"dbennion@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manny, Bruce A. 0000-0002-4074-9329 bmanny@usgs.gov","orcid":"https://orcid.org/0000-0002-4074-9329","contributorId":3699,"corporation":false,"usgs":true,"family":"Manny","given":"Bruce","email":"bmanny@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583819,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70134308,"text":"70134308 - 2014 - Inner-shelf circulation and sediment dynamics on a series of shoreface connected ridges offshore of Fire Island, NY","interactions":[],"lastModifiedDate":"2020-12-31T19:55:18.781874","indexId":"70134308","displayToPublicDate":"2014-12-01T13:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2923,"text":"Ocean Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Inner-shelf circulation and sediment dynamics on a series of shoreface connected ridges offshore of Fire Island, NY","docAbstract":"Locations along the inner-continental shelf offshore of Fire Island, NY, are characterized by a series of shoreface-connected ridges (SFCRs). These sand ridges have approximate dimensions of 10 km in length, 3 km spacing, and up to ∼8 m ridge to trough relief and are oriented obliquely at approximately 30° clockwise from the coastline. Stability analysis from previous studies explains how sand ridges such as these could be formed and maintained by storm-driven flows directed alongshore with a key maintenance mechanism of offshore deflected flows over ridge crests and onshore in the troughs. We examine these processes both with a limited set of idealized numerical simulations and analysis of observational data. Model results confirm that alongshore flows over the SFCRs exhibit offshore veering of currents over the ridge crests and onshore-directed flows in the troughs, and demonstrate the opposite circulation pattern for a reverse wind. To further investigate these maintenance processes, oceanographic instruments were deployed at seven sites on the SFCRs offshore of Fire Island to measure water levels, ocean currents, waves, suspended sediment concentrations, and bottom stresses from January to April 2012. Data analysis reveals that during storms with winds from the northeast, the processes of offshore deflection of currents over ridge crests and onshore in the troughs were observed, and during storm events with winds from the southwest, a reverse flow pattern over the ridges occurred. Computations of suspended sediment fluxes identify periods that are consistent with SFCR maintenance mechanisms. Alongshore winds from the northeast drove fluxes offshore on the ridge crest and onshore in the trough that would tend to promote ridge maintenance. However, alongshore winds from the southwest drove opposite circulations. The wind fields are related to different storm types that occur in the region (low-pressure systems, cold fronts, and warm fronts). From the limited data set, we identify that low-pressure systems drive sediment fluxes that tend to promote stability and maintain the SFCRs while cold front type storms appear to drive circulations that are in the opposite sense and may not be a supporting mechanism for ridge maintenance.
","language":"English","publisher":"Springer","publisherLocation":"Berlin, Germany","doi":"10.1007/s10236-014-0781-y","usgsCitation":"Warner, J., List, J., Schwab, W.C., Voulgaris, G., Armstrong, B., and Marshall, N., 2014, Inner-shelf circulation and sediment dynamics on a series of shoreface connected ridges offshore of Fire Island, NY: Ocean Dynamics, v. 64, no. 2, p. 1767-1781, https://doi.org/10.1007/s10236-014-0781-y.","productDescription":"15 p.","startPage":"1767","endPage":"1781","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056995","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472601,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10236-014-0781-y","text":"Publisher Index Page"},{"id":296389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.75146484374999,\n 40.763901280945866\n ],\n [\n -72.7294921875,\n 40.73581157695217\n ],\n [\n -72.718505859375,\n 40.71551718935035\n ],\n [\n -72.45002746582031,\n 40.78626052122175\n ],\n [\n -72.48298645019531,\n 40.84809918505204\n ],\n [\n -72.75146484374999,\n 40.763901280945866\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-10-24","publicationStatus":"PW","scienceBaseUri":"547ee2c5e4b09357f05f8a54","contributors":{"authors":[{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":525803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"List, Jeffrey H. jlist@usgs.gov","contributorId":127596,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey H.","email":"jlist@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":525804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":525805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voulgaris, George","contributorId":26377,"corporation":false,"usgs":false,"family":"Voulgaris","given":"George","email":"","affiliations":[{"id":27143,"text":"University of South Carolina, Columbia, SC","active":true,"usgs":false}],"preferred":false,"id":525806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Armstrong, Brandy N. barmstrong@usgs.gov","contributorId":5897,"corporation":false,"usgs":true,"family":"Armstrong","given":"Brandy N.","email":"barmstrong@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":525807,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marshall, N","contributorId":127597,"corporation":false,"usgs":false,"family":"Marshall","given":"N","email":"","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":525808,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70134891,"text":"70134891 - 2014 - Geologic implications of gas hydrates in the offshore of India: results of the National Gas Hydrate Program Expedition 01","interactions":[],"lastModifiedDate":"2014-12-09T11:44:51","indexId":"70134891","displayToPublicDate":"2014-12-01T11:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geologic implications of gas hydrates in the offshore of India: results of the National Gas Hydrate Program Expedition 01","docAbstract":"The Indian National Gas Hydrate Program Expedition 01 (NGHP-01) is designed to study the occurrence of gas hydrate along the passive continental margin of the Indian Peninsula and in the Andaman convergent margin, with special emphasis on understanding the geologic and geochemical controls on the occurrence of gas hydrate in these two diverse settings. The NGHP-01 expedition established the presence of gas hydrates in the Krishna-Godavari and Mahanadi Basins, and the Andaman Sea. The expedition discovered in the Krishna-Godavari Basin one of the thickest gas hydrate accumulations ever documented, in the Andaman Sea one of the thickest and deepest gas hydrate stability zones in the world, and established the existence of a fully developed gas hydrate petroleum system in all three basins.
\nThe primary goal of NGHP-01 was to conduct scientific ocean drilling/coring, logging, and analytical activities to assess the geologic occurrence, regional context, and characteristics of gas hydrate deposits along the continental margins of India. This was done in order to meet the long-term goal of exploiting gas hydrate as a potential energy resource in a cost effective and safe manner. During its 113.5-day voyage, the D/V JOIDES Resolution cored and/or drilled 39 holes at 21 sites (1 site in Kerala-Konkan, 15 sites in Krishna-Godavari, 4 sites in Mahanadi, and 1 site in the Andaman deep offshore area), penetrated more than 9250 m of sedimentary section, and recovered nearly 2850 m of core. Twelve holes were logged with logging-while-drilling (LWD) tools and an additional 13 holes were wireline logged. The science team utilized extensive on-board laboratory facilities to examine and prepare preliminary reports on the physical properties, geochemistry, and sedimentology of all the data collected prior to the end of the expedition. Samples were also analyzed in additional post-expedition shore-based studies conducted in leading laboratories around the world.
\nOne of the specific objectives of this expedition was to test gas hydrate formation models and constrain model parameters, especially those that account for the formation of concentrated gas hydrate accumulations. The necessary data for characterizing the occurrence of in situ gas hydrate, such as interstitial water chlorinities, core-derived gas chemistry, physical and sedimentological properties, thermal images of the recovered cores, and downhole measured logging data (LWD and/or conventional wireline log data), were obtained from most of the drill sites established during NGHP-01. Almost all of the drill sites yielded evidence for the occurrence of gas hydrate; however, the inferred in situ concentration of gas hydrate varied substantially from site to site. For the most part, the interpretation of downhole logging data, core thermal images, interstitial water analyses, and pressure core images from the sites drilled during NGHP-01 indicate that the occurrence of concentrated gas hydrate is mostly associated with the presence of fractures in the sediments, and in some limited cases, by coarser grained (mostly sand-rich) sediments.
","language":"English","publisher":"Butterworth Scientific Ltd.","publisherLocation":"Guildford, Surrey","doi":"10.1016/j.marpetgeo.2014.07.021","usgsCitation":"Collett, T.S., Boswell, R., Cochran, J.R., Kumar, P., Lall, M., Mazumdar, A., Ramana, M.V., Ramprasad, T., Riedel, M., Sain, K., Sathe, A.V., and Vishwanath, K., 2014, Geologic implications of gas hydrates in the offshore of India: results of the National Gas Hydrate Program Expedition 01: Marine and Petroleum Geology, v. 58, no. A, p. 3-28, https://doi.org/10.1016/j.marpetgeo.2014.07.021.","productDescription":"26 p.","startPage":"3","endPage":"28","numberOfPages":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058226","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":472603,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1556750","text":"Publisher Index Page"},{"id":296528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296474,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2014.07.021"}],"volume":"58","issue":"A","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54882b50e4b02acb4f0c8c33","contributors":{"authors":[{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":526634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boswell, Ray","contributorId":12307,"corporation":false,"usgs":true,"family":"Boswell","given":"Ray","affiliations":[],"preferred":false,"id":526635,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochran, J. 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In semi-arid systems, the accumulation of soluble salts throughout the soil profile can limit total production of wetland plants and agronomic crops and thus jeopardize meeting waterbird energy needs. This study evaluates the effect of distinct hydrologic regimes associated with moist-soil management and agricultural production on salt accumulation in a semi-arid floodplain. We hypothesized that the frequency of flooding and quantity of floodwater in a moist-soil management hydroperiod results in a less saline soil profile compared to profiles under traditional agricultural management. Findings showed that agricultural croplands differed (p-value < 0.001, df = 9) in quantities of total soluble salts (TSS) compared to moist-soil impoundments and contained greater concentrations (TSS range = 1,160-1,750 (mg kg-1)) at depth greater than 55 cm below the surface of the profile, while moist-soil impoundments contained lower concentrations (TSS range = 307-531 (mg kg-1)) at the same depths. Increased salts in agricultural may be attributed to the lack of leaching afforded by smaller summer irrigations while larger periodic flooding events in winter and summer flood irrigations in moist-soil impoundments may serve as leaching events.
","language":"English","publisher":"Society of Wetland Scientists","publisherLocation":"McClean, VA","doi":"10.1007/s13157-014-0585-3","collaboration":"U.S. Fish and Wildlife Service; Bosque del Apache National Wildlife Refuge; United States Geological Survey","usgsCitation":"Fowler, D., King, S.L., and Weindorf, D.C., 2014, Evaluating abiotic influences on soil salinity of inland managed wetlands and agricultural croplands in a semi-arid environment: Wetlands, v. 34, no. 6, p. 1229-1239, https://doi.org/10.1007/s13157-014-0585-3.","productDescription":"11 p.","startPage":"1229","endPage":"1239","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057187","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-07","publicationStatus":"PW","scienceBaseUri":"55659941e4b0d9246a9eb621","contributors":{"authors":[{"text":"Fowler, D.","contributorId":94411,"corporation":false,"usgs":true,"family":"Fowler","given":"D.","email":"","affiliations":[],"preferred":false,"id":547602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weindorf, David C.","contributorId":140924,"corporation":false,"usgs":false,"family":"Weindorf","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":27688,"text":"Texas Tech University, Lubbock, TX 79409","active":true,"usgs":false}],"preferred":false,"id":547603,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70135039,"text":"70135039 - 2014 - Enterococcus phages as potential tool for identifying sewage inputs in the Great Lakes region","interactions":[],"lastModifiedDate":"2018-02-15T13:17:42","indexId":"70135039","displayToPublicDate":"2014-12-01T11:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Enterococcus phages as potential tool for identifying sewage inputs in the Great Lakes region","title":"Enterococcus phages as potential tool for identifying sewage inputs in the Great Lakes region","docAbstract":"Bacteriophages are viruses living in bacteria that can be used as a tool to detect fecal contamination in surface waters around the world. However, the lack of a universal host strain makes them unsuitable for tracking fecal sources. We evaluated the suitability of two newly isolated Enterococcus host strains (ENT-49 and ENT-55) capable for identifying sewage contamination in impacted waters by targeting phages specific to these hosts. Both host strains were isolated from wastewater samples and identified as E. faecium by 16S rRNA gene sequencing. Occurrence of Enterococcus phages was evaluated in sewage samples (n = 15) from five wastewater treatment plants and in fecal samples from twenty-two species of wild and domesticated animals (individual samples; n = 22). Levels of Enterococcus phages, F + coliphages, Escherichia coli and enterococci were examined from four rivers, four beaches, and three harbors. Enterococcus phages enumeration was at similar levels (Mean = 6.72 Log PFU/100 mL) to F + coliphages in all wastewater samples, but were absent from all non-human fecal sources tested. The phages infecting Enterococcus spp. and F + coliphages were not detected in the river samples (detection threshold < 10 PFU/100 mL), but were present in the beach and harbor samples (range = 1.83 to 2.86 Log PFU/100 mL). Slightly higher concentrations (range = 3.22 to 3.69 Log MPN/100 mL) of E. coli and enterococci when compared to F + coliphages and Enterococcus phages, were observed in the river, beach and harbor samples. Our findings suggest that the bacteriophages associated with these particular Enterococcus host strains offer potentially sensitive and human-source specific indicators of enteric pathogen risk.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2014.09.011","usgsCitation":"Vijayavel, K., Byappanahalli, M., Ebdon, J., Whitman, R.L., Taylor, H., and Kashian, D., 2014, Enterococcus phages as potential tool for identifying sewage inputs in the Great Lakes region: Journal of Great Lakes Research, v. 40, no. 4, p. 989-993, https://doi.org/10.1016/j.jglr.2014.09.011.","productDescription":"5 p.","startPage":"989","endPage":"993","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052004","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":296518,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Great Lakes","volume":"40","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54882b4ae4b02acb4f0c8c2b","contributors":{"authors":[{"text":"Vijayavel, K.","contributorId":127773,"corporation":false,"usgs":false,"family":"Vijayavel","given":"K.","email":"","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":526697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byappanahalli, Muruleedhara N. byappan@usgs.gov","contributorId":3324,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara N.","email":"byappan@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":526696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, H.","contributorId":127775,"corporation":false,"usgs":false,"family":"Taylor","given":"H.","affiliations":[{"id":7148,"text":"University of Brighton, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":526699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":526700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebdon, J.","contributorId":127774,"corporation":false,"usgs":false,"family":"Ebdon","given":"J.","email":"","affiliations":[{"id":7148,"text":"University of Brighton, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":526698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kashian, D.R.","contributorId":127776,"corporation":false,"usgs":false,"family":"Kashian","given":"D.R.","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":526701,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160460,"text":"70160460 - 2014 - Site selection and nest survival of the Bar-Headed Goose (Anser indicus) on the Mongolian Plateau","interactions":[],"lastModifiedDate":"2017-07-19T15:43:40","indexId":"70160460","displayToPublicDate":"2014-12-01T09:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Site selection and nest survival of the Bar-Headed Goose (Anser indicus) on the Mongolian Plateau","docAbstract":"Waterbirds breeding on the Mongolian Plateau in Central Asia must find suitable wetland areas for nesting in a semiarid region characterized by highly variable water conditions. The first systematic nesting study of a waterbird dependent on this region for breeding was conducted on the Bar-headed Goose (Anser indicus). The purpose of this study was to document Bar-headed Goose nesting locations, characterize nests and nesting strategies, and estimate daily nest survival (n = 235 nests) from eight areas of west-central Mongolia across three summers (2009–2011) using a modified Mayfield estimator. Bar-headed Goose daily nest survival ranged from 0.94 to 0.98, with a 3-year average nest success of 42.6% during incubation. Bar-headed Geese were found to primarily nest on isolated pond and lake islands as previously reported, but were also documented regularly, though less frequently, along rocky cliffs in several regions of west-central Mongolia. Daily nest survival was higher for cliff nests than for island nests. Information-theoretic models indicated that nest survival decreased with nest age and varied annually with changing environmental conditions. Results of this study suggest that while Bar-headed Geese primarily rely on nesting island sites these sites may be more susceptible to anthropogenic disturbance and predation events influenced by seasonal variation in environmental conditions, and that higher daily nest survival values documented for the less frequent cliff nest strategy may provide an important alternative strategy during poor island nest success years. Thus, conservation efforts for this and other waterbird species in the semiarid region should be focused on conserving nesting islands and protecting them from disturbance in areas of high livestock densities experiencing a rapidly warming climate.
","language":"English","publisher":"The Waterbird Society","publisherLocation":"Washington D.C.","doi":"10.1675/063.037.0405","usgsCitation":"Batbayar, N., Takekawa, J.Y., Natsagdorj, T., Spragens, K., and Xiao, X., 2014, Site selection and nest survival of the Bar-Headed Goose (Anser indicus) on the Mongolian Plateau: Waterbirds, v. 37, no. 4, p. 381-393, https://doi.org/10.1675/063.037.0405.","productDescription":"13 p.","startPage":"381","endPage":"393","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054305","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":312563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mongolia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[87.75126,49.2972],[88.80557,49.47052],[90.71367,50.33181],[92.23471,50.80217],[93.10422,50.49529],[94.14757,50.48054],[94.81595,50.01343],[95.81403,49.97747],[97.25973,49.72606],[98.23176,50.4224],[97.82574,51.011],[98.86149,52.04737],[99.98173,51.63401],[100.88948,51.51686],[102.06522,51.25992],[102.25591,50.51056],[103.67655,50.08997],[104.62155,50.27533],[105.88659,50.40602],[106.8888,50.2743],[107.86818,49.79371],[108.47517,49.28255],[109.40245,49.29296],[110.66201,49.13013],[111.58123,49.37797],[112.89774,49.54357],[114.36246,50.2483],[114.96211,50.14025],[115.4857,49.80518],[116.6788,49.88853],[116.1918,49.1346],[115.48528,48.13538],[115.74284,47.72654],[116.30895,47.85341],[117.29551,47.69771],[118.06414,48.06673],[118.86657,47.74706],[119.77282,47.04806],[119.66327,46.69268],[118.87433,46.80541],[117.4217,46.67273],[116.71787,46.3882],[115.9851,45.72724],[114.46033,45.33982],[113.46391,44.80889],[112.43606,45.01165],[111.87331,45.10208],[111.34838,44.45744],[111.66774,44.07318],[111.82959,43.74312],[111.12968,43.40683],[110.4121,42.87123],[109.2436,42.51945],[107.74477,42.48152],[106.12932,42.13433],[104.96499,41.59741],[104.52228,41.90835],[103.31228,41.90747],[101.83304,42.51487],[100.84587,42.6638],[99.51582,42.52469],[97.45176,42.74889],[96.3494,42.72564],[95.76245,43.31945],[95.30688,44.24133],[94.68893,44.35233],[93.48073,44.97547],[92.13389,45.11508],[90.94554,45.28607],[90.58577,45.71972],[90.97081,46.88815],[90.28083,47.69355],[88.8543,48.06908],[88.01383,48.59946],[87.75126,49.2972]]]},\"properties\":{\"name\":\"Mongolia\"}}]}","volume":"37","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567930d4e4b0da412f4fb597","contributors":{"authors":[{"text":"Batbayar, Nyambayar","contributorId":40338,"corporation":false,"usgs":true,"family":"Batbayar","given":"Nyambayar","affiliations":[],"preferred":false,"id":582967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":582966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Natsagdorj, Tseveenmyadag","contributorId":28729,"corporation":false,"usgs":true,"family":"Natsagdorj","given":"Tseveenmyadag","email":"","affiliations":[],"preferred":false,"id":582968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spragens, Kyle A.","contributorId":98452,"corporation":false,"usgs":true,"family":"Spragens","given":"Kyle A.","affiliations":[],"preferred":false,"id":582969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xiao, Xiamgming","contributorId":150758,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiamgming","email":"","affiliations":[{"id":18094,"text":"Dep't Micorbiology & Plant Biology, and Center for Spatial Analysis, U of OK, Norman, OK","active":true,"usgs":false}],"preferred":false,"id":582970,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189185,"text":"70189185 - 2014 - The effects of changing land cover on streamflow simulation in Puerto Rico","interactions":[],"lastModifiedDate":"2017-07-06T14:43:52","indexId":"70189185","displayToPublicDate":"2014-12-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"The effects of changing land cover on streamflow simulation in Puerto Rico","docAbstract":"This study quantitatively explores whether land cover changes have a substantive impact on simulated streamflow within the tropical island setting of Puerto Rico. The Precipitation Runoff Modeling System (PRMS) was used to compare streamflow simulations based on five static parameterizations of land cover with those based on dynamically varying parameters derived from four land cover scenes for the period 1953-2012. The PRMS simulations based on static land cover illustrated consistent differences in simulated streamflow across the island. It was determined that the scale of the analysis makes a difference: large regions with localized areas that have undergone dramatic land cover change may show negligible difference in total streamflow, but streamflow simulations using dynamic land cover parameters for a highly altered subwatershed clearly demonstrate the effects of changing land cover on simulated streamflow. Incorporating dynamic parameterization in these highly altered watersheds can reduce the predictive uncertainty in simulations of streamflow using PRMS. Hydrologic models that do not consider the projected changes in land cover may be inadequate for water resource management planning for future conditions.
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