{"pageNumber":"1409","pageRowStart":"35200","pageSize":"25","recordCount":184733,"records":[{"id":70094643,"text":"70094643 - 2014 - Mercury cycling in agricultural and managed wetlands: a synthesis of methylmercury production, hydrologic export, and bioaccumulation from an integrated field study","interactions":[],"lastModifiedDate":"2018-09-26T16:31:22","indexId":"70094643","displayToPublicDate":"2014-02-24T10:36:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mercury cycling in agricultural and managed wetlands: a synthesis of methylmercury production, hydrologic export, and bioaccumulation from an integrated field study","docAbstract":"With seasonal wetting and drying, and high biological productivity, agricultural wetlands (rice paddies) may enhance the conversion of inorganic mercury (Hg(II)) to methylmercury (MeHg), the more toxic, organic form that biomagnifies through food webs. Yet, the net balance of MeHg sources and sinks in seasonal wetland environments is poorly understood because it requires an annual, integrated assessment across biota, sediment, and water components. We examined a suite of wetlands managed for rice crops or wildlife during 2007–2008 in California's Central Valley, in an area affected by Hg contamination from historic mining practices. Hydrologic management of agricultural wetlands for rice, wild rice, or fallowed — drying for field preparation and harvest, and flooding for crop growth and post-harvest rice straw decay — led to pronounced seasonality in sediment and aqueous MeHg concentrations that were up to 95-fold higher than those measured concurrently in adjacent, non-agricultural permanently-flooded and seasonally-flooded wetlands. Flooding promoted microbial MeHg production in surface sediment of all wetlands, but extended water residence time appeared to preferentially enhance MeHg degradation and storage. When incoming MeHg loads were elevated, individual fields often served as a MeHg sink, rather than a source. Slow, horizontal flow of shallow water in the agricultural wetlands led to increased importance of vertical hydrologic fluxes, including evapoconcentration of surface water MeHg and transpiration-driven advection into the root zone, promoting temporary soil storage of MeHg. Although this hydrology limited MeHg export from wetlands, it also increased MeHg exposure to resident fish via greater in situ aqueous MeHg concentrations. Our results suggest that the combined traits of agricultural wetlands — slow-moving shallow water, manipulated flooding and drying, abundant labile plant matter, and management for wildlife — may enhance microbial methylation of Hg(II) and MeHg exposure to local biota, as well as export to downstream habitats during uncontrolled winter-flow events.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.01.033","usgsCitation":"Windham-Myers, L., Fleck, J., Ackerman, J., Marvin-DiPasquale, M.C., Stricker, C.A., Heim, W.A., Bachand, P., Eagles-Smith, C.A., Gill, G., Stephenson, M., and Alpers, C.N., 2014, Mercury cycling in agricultural and managed wetlands: a synthesis of methylmercury production, hydrologic export, and bioaccumulation from an integrated field study: Science of the Total Environment, v. 484, p. 221-231, https://doi.org/10.1016/j.scitotenv.2014.01.033.","productDescription":"11 p.","startPage":"221","endPage":"231","numberOfPages":"11","ipdsId":"IP-052623","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":282671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282670,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2014.01.033"}],"country":"United States","state":"California","county":"Yolo County","otherGeospatial":"Yolo Bypass Wildlife Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.4229,38.3133 ], [ -122.4229,38.926 ], [ -121.5012,38.926 ], [ -121.5012,38.3133 ], [ -122.4229,38.3133 ] ] ] } } ] }","volume":"484","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517054e4b05569d805a323","contributors":{"authors":[{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":490728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleck, Jacob A. 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":1498,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob A.","email":"jafleck@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":490727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":490723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":490726,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":490725,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heim, Wesley A.","contributorId":103548,"corporation":false,"usgs":true,"family":"Heim","given":"Wesley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":490732,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bachand, Philip","contributorId":81013,"corporation":false,"usgs":false,"family":"Bachand","given":"Philip","email":"","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":490730,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":490724,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gill, Gary","contributorId":94587,"corporation":false,"usgs":true,"family":"Gill","given":"Gary","affiliations":[],"preferred":false,"id":490731,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stephenson, Mark","contributorId":56951,"corporation":false,"usgs":false,"family":"Stephenson","given":"Mark","email":"","affiliations":[],"preferred":false,"id":490729,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490722,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70094679,"text":"70094679 - 2014 - Nutrient concentrations in coarse and fine woody debris of Populus tremuloides Michx.-dominated forests, northern Minnesota, USA","interactions":[],"lastModifiedDate":"2014-02-24T10:00:10","indexId":"70094679","displayToPublicDate":"2014-02-24T09:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3390,"text":"Silva Fennica","active":true,"publicationSubtype":{"id":10}},"title":"Nutrient concentrations in coarse and fine woody debris of Populus tremuloides Michx.-dominated forests, northern Minnesota, USA","docAbstract":"Contemporary forest harvesting practices, specifically harvesting woody biomass as a source of bioenergy feedstock, may remove more woody debris from a site than conventional harvesting. Woody debris, particularly smaller diameter woody debris, plays a key role in maintaining ecosystem nutrient stores following disturbance. Understanding nutrient concentrations within woody debris is necessary for assessing the long-term nutrient balance consequences of altered woody debris retention, particularly in forests slated for use as bioenergy feedstocks. Nutrient concentrations in downed woody debris of various sizes, decay classes, and species were characterized within one such forest type, Populus tremuloides Michx.-dominated forests of northern Minnesota, USA. Nutrient concentrations differed significantly between size and decay classes and generally increased as decay progressed. Fine woody debris (≤ 7.5 cm diameter) had higher nutrient concentrations than coarse woody debris (> 7.5 cm diameter) for all nutrients examined except Na and Mn, and nutrient concentrations varied among species. Concentrations of N, Mn, Al, Fe, and Zn in coarse woody debris increased between one and three orders of magnitude, while K decreased by an order of magnitude with progressing decay. The variations in nutrient concentrations observed here underscore the complexity of woody debris nutrient stores in forested ecosystems and suggest that retaining fine woody debris at harvest may provide a potentially important source of nutrients following intensive removals of bioenergy feedstocks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Silva Fennica","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Finnish Society of Forest Science","doi":"10.14214/sf.962","usgsCitation":"Klockow, P.A., D’Amato, A.W., Bradford, J.B., and Fraver, S., 2014, Nutrient concentrations in coarse and fine woody debris of Populus tremuloides Michx.-dominated forests, northern Minnesota, USA: Silva Fennica, v. 48, no. 1, 24 p., https://doi.org/10.14214/sf.962.","productDescription":"24 p.","numberOfPages":"24","ipdsId":"IP-038982","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473167,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14214/sf.962","text":"Publisher Index Page"},{"id":282666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282651,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.14214/sf.962"}],"country":"United States","state":"Minnesota","county":"Saint Louis County","city":"Independence;Melrude;Orr","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.0966,46.6492 ], [ -93.0966,48.6316 ], [ -91.7893,48.6316 ], [ -91.7893,46.6492 ], [ -93.0966,46.6492 ] ] ] } } ] }","volume":"48","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517058e4b05569d805a34b","contributors":{"authors":[{"text":"Klockow, Paul A.","contributorId":78222,"corporation":false,"usgs":true,"family":"Klockow","given":"Paul","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":490804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Amato, Anthony W.","contributorId":28140,"corporation":false,"usgs":false,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false},{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false}],"preferred":false,"id":490803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":490802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraver, Shawn","contributorId":91379,"corporation":false,"usgs":false,"family":"Fraver","given":"Shawn","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":490805,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70095190,"text":"70095190 - 2014 - Variability in seroprevalence of rabies virus neutralizing antibodies and associated factors in a Colorado population of big brown bats (Eptesicus fuscus)","interactions":[],"lastModifiedDate":"2018-10-20T12:37:27","indexId":"70095190","displayToPublicDate":"2014-02-24T08:08:43","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Variability in seroprevalence of rabies virus neutralizing antibodies and associated factors in a Colorado population of big brown bats (Eptesicus fuscus)","docAbstract":"In 2001–2005 we sampled permanently marked big brown bats (Eptesicus fuscus) at summer roosts in buildings at Fort Collins, Colorado, for rabies virus neutralizing antibodies (RVNA). Seroprevalence was higher in adult females (17.9%, n = 2,332) than males (9.4%, n = 128; P = 0.007) or volant juveniles (10.2%, n = 738; P<0.0001). Seroprevalence was lowest in a drought year with local insecticide use and highest in the year with normal conditions, suggesting that environmental stress may suppress RVNA production in big brown bats. Seroprevalence also increased with age of bat, and varied from 6.2 to 26.7% among adult females at five roosts sampled each year for five years. Seroprevalence of adult females at 17 other roosts sampled for 1 to 4 years ranged from 0.0 to 47.1%. Using logistic regression, the only ranking model in our candidate set of explanatory variables for serological status at first sampling included year, day of season, and a year by day of season interaction that varied with relative drought conditions. The presence or absence of antibodies in individual bats showed temporal variability. Year alone provided the best model to explain the likelihood of adult female bats showing a transition to seronegative from a previously seropositive state. Day of the season was the only competitive model to explain the likelihood of a transition from seronegative to seropositive, which increased as the season progressed. We found no rabies viral RNA in oropharyngeal secretions of 261 seropositive bats or in organs of 13 euthanized seropositive bats. Survival of seropositive and seronegative bats did not differ. The presence of RVNA in serum of bats should not be interpreted as evidence for ongoing rabies infection.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0086261","usgsCitation":"O’Shea, T., Bowen, R.A., Stanley, T.R., Shankar, V., and Rupprecht, C.E., 2014, Variability in seroprevalence of rabies virus neutralizing antibodies and associated factors in a Colorado population of big brown bats (Eptesicus fuscus): PLoS ONE, v. 9, no. 1, e86261, 13 p., https://doi.org/10.1371/journal.pone.0086261.","productDescription":"e86261, 13 p.","ipdsId":"IP-052494","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473168,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0086261","text":"Publisher Index Page"},{"id":282923,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0086261"},{"id":282924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Fort Collins","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.153,40.474 ], [ -105.153,40.639 ], [ -104.892,40.639 ], [ -104.892,40.474 ], [ -105.153,40.474 ] ] ] } } ] }","volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-22","publicationStatus":"PW","scienceBaseUri":"5351706ce4b05569d805a435","contributors":{"authors":[{"text":"O’Shea, Thomas J.","contributorId":89442,"corporation":false,"usgs":true,"family":"O’Shea","given":"Thomas J.","affiliations":[],"preferred":false,"id":491094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowen, Richard A.","contributorId":64145,"corporation":false,"usgs":true,"family":"Bowen","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":491093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanley, Thomas R. 0000-0002-8393-0005 stanleyt@usgs.gov","orcid":"https://orcid.org/0000-0002-8393-0005","contributorId":209928,"corporation":false,"usgs":true,"family":"Stanley","given":"Thomas","email":"stanleyt@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":491091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shankar, Vidya","contributorId":8754,"corporation":false,"usgs":true,"family":"Shankar","given":"Vidya","email":"","affiliations":[],"preferred":false,"id":491092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rupprecht, Charles E.","contributorId":95774,"corporation":false,"usgs":true,"family":"Rupprecht","given":"Charles","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":491095,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70074485,"text":"ofr20141013 - 2014 - Investigations into near-real-time surveying for geophysical data collection using an autonomous ground vehicle","interactions":[],"lastModifiedDate":"2023-05-26T13:59:21.176192","indexId":"ofr20141013","displayToPublicDate":"2014-02-24T07:59:00","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":"2014-1013","title":"Investigations into near-real-time surveying for geophysical data collection using an autonomous ground vehicle","docAbstract":"The U.S. Geological Survey and the National Aeronautics and Space Administration are cooperatively investigating the utility of unmanned vehicles for near-real-time autonomous surveys of geophysical data collection. Initially focused on unmanned ground vehicle collection of magnetic data, this cooperative effort has brought unmanned surveying, precision guidance, near-real-time communication, on-the-fly data processing, and near-real-time data interpretation into the realm of ground geophysical surveying, all of which offer advantages over current methods of manned collection of ground magnetic data. An unmanned ground vehicle mission has demonstrated that these vehicles can successfully complete missions to collect geophysical data, and add advantages in data collection, processing, and interpretation. We view the current experiment as an initial phase in further unmanned vehicle data-collection missions, including aerial surveying.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, GA","doi":"10.3133/ofr20141013","collaboration":"In cooperation with the National Aeronautics and Space Administration Ames Research Center","usgsCitation":"Phelps, G.A., Ippolito, C., Lee, R., Spritzer, R., and Yeh, Y., 2014, Investigations into near-real-time surveying for geophysical data collection using an autonomous ground vehicle: U.S. Geological Survey Open-File Report 2014-1013, iv, 12 p., https://doi.org/10.3133/ofr20141013.","productDescription":"iv, 12 p.","numberOfPages":"16","onlineOnly":"Y","ipdsId":"IP-044480","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":282658,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141013.jpg"},{"id":282657,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1013/pdf/ofr2014-1013.pdf"},{"id":282652,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1013/"}],"country":"United States","state":"California","city":"Menlo Park","otherGeospatial":"Flood Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.1751655,37.4732472 ], [ -122.1751655,37.4768635 ], [ -122.1690321,37.4768635 ], [ -122.1690321,37.4732472 ], [ -122.1751655,37.4732472 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6322e4b0b290850fe9c3","contributors":{"authors":[{"text":"Phelps, Geoffrey A. gphelps@usgs.gov","contributorId":1179,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoffrey","email":"gphelps@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":489597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ippolito, C.","contributorId":47686,"corporation":false,"usgs":true,"family":"Ippolito","given":"C.","email":"","affiliations":[],"preferred":false,"id":489598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, R.","contributorId":97153,"corporation":false,"usgs":true,"family":"Lee","given":"R.","affiliations":[],"preferred":false,"id":489601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spritzer, R.","contributorId":85497,"corporation":false,"usgs":true,"family":"Spritzer","given":"R.","email":"","affiliations":[],"preferred":false,"id":489600,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yeh, Y.","contributorId":59345,"corporation":false,"usgs":true,"family":"Yeh","given":"Y.","email":"","affiliations":[],"preferred":false,"id":489599,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175910,"text":"70175910 - 2014 - Quantitative study of tectonic geomorphology along Haiyuan fault based on airborne LiDAR","interactions":[],"lastModifiedDate":"2016-08-20T16:14:44","indexId":"70175910","displayToPublicDate":"2014-02-22T06:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1235,"text":"Chinese Science Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative study of tectonic geomorphology along Haiyuan fault based on airborne LiDAR","docAbstract":"<p><span>High-precision and high-resolution topography are the fundamental data for active fault research. Light detection and ranging (LiDAR) presents a new approach to build detailed digital elevation models effectively. We take the Haiyuan fault in Gansu Province as an example of how LiDAR data may be used to improve the study of active faults and the risk assessment of related hazards. In the eastern segment of the Haiyuan fault, the Shaomayin site has been comprehensively investigated in previous research because of its exemplary tectonic topographic features. Based on unprecedented LiDAR data, the horizontal and vertical coseismic offsets at the Shaomayin site are described. The measured horizontal value is about 8.6&nbsp;m, and the vertical value is about 0.8&nbsp;m. Using prior dating ages sampled from the same location, we estimate the horizontal slip rate as 4.0&nbsp;&plusmn;&nbsp;1.0&nbsp;mm/a with high confidence and define that the lower bound of the vertical slip rate is 0.4&nbsp;&plusmn;&nbsp;0.1&nbsp;mm/a since the Holocene. LiDAR data can repeat the measurements of field work on quantifying offsets of tectonic landform features quite well. The offset landforms are visualized on an office computer workstation easily, and specialized software may be used to obtain displacement quantitatively. By combining precious chronological results, the fundamental link between fault activity and large earthquakes is better recognized, as well as the potential risk for future earthquake hazards.</span></p>","language":"English","publisher":"Springer-Verlag","doi":"10.1007/s11434-014-0199-4","usgsCitation":"Chen, T., Zhang, P., Liu, J., Li, C.Y., Ren, Z.K., and Hudnut, K.W., 2014, Quantitative study of tectonic geomorphology along Haiyuan fault based on airborne LiDAR: Chinese Science Bulletin, v. 59, no. 20, p. 2396-2409, https://doi.org/10.1007/s11434-014-0199-4.","productDescription":"14 p.","startPage":"2396","endPage":"2409","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064507","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":327124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","state":"Gansu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              91.845703125,\n              30.56226095049944\n            ],\n            [\n              91.845703125,\n              42.908160071960566\n            ],\n            [\n              108.369140625,\n              42.908160071960566\n            ],\n            [\n              108.369140625,\n              30.56226095049944\n            ],\n            [\n              91.845703125,\n              30.56226095049944\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"59","issue":"20","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-22","publicationStatus":"PW","scienceBaseUri":"57b97f28e4b03fd6b7db87d7","contributors":{"authors":[{"text":"Chen, Tao","contributorId":173898,"corporation":false,"usgs":false,"family":"Chen","given":"Tao","email":"","affiliations":[{"id":27316,"text":"China Earthquake Administration (CEA)","active":true,"usgs":false}],"preferred":false,"id":646537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Pei Zhen","contributorId":173899,"corporation":false,"usgs":false,"family":"Zhang","given":"Pei Zhen","affiliations":[{"id":27316,"text":"China Earthquake Administration (CEA)","active":true,"usgs":false}],"preferred":false,"id":646538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Jing","contributorId":173900,"corporation":false,"usgs":false,"family":"Liu","given":"Jing","email":"","affiliations":[{"id":27316,"text":"China Earthquake Administration (CEA)","active":true,"usgs":false}],"preferred":false,"id":646539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Chuan You","contributorId":173901,"corporation":false,"usgs":false,"family":"Li","given":"Chuan","email":"","middleInitial":"You","affiliations":[{"id":27316,"text":"China Earthquake Administration (CEA)","active":true,"usgs":false}],"preferred":false,"id":646540,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ren, Zhi Kun","contributorId":173902,"corporation":false,"usgs":false,"family":"Ren","given":"Zhi","email":"","middleInitial":"Kun","affiliations":[{"id":27316,"text":"China Earthquake Administration (CEA)","active":true,"usgs":false}],"preferred":false,"id":646541,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hudnut, Kenneth W. 0000-0002-3168-4797 hudnut@usgs.gov","orcid":"https://orcid.org/0000-0002-3168-4797","contributorId":2550,"corporation":false,"usgs":true,"family":"Hudnut","given":"Kenneth","email":"hudnut@usgs.gov","middleInitial":"W.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":646536,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70094660,"text":"70094660 - 2014 - Interstratified arkosic and volcanic rocks of the Miocene Spanish Canyon Formation, Alvord Mountain area, California: Descriptions and interpretations","interactions":[],"lastModifiedDate":"2023-05-26T14:01:17.335899","indexId":"70094660","displayToPublicDate":"2014-02-21T13:05:48","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Interstratified arkosic and volcanic rocks of the Miocene Spanish Canyon Formation, Alvord Mountain area, California: Descriptions and interpretations","docAbstract":"<p>The Spanish Canyon Foundation in the Alvord Mountain area, California, varies from about 50 to 120 m thick and records the interstratification of arkosic sandstone and conglomerate with tuffaceous deposits and lava flows.  In the lower third of the formation, arkosic sandstone and conglomerate are interstratified with tuffaceous deposits.  Some tuffs might have been deposited as primary, nonwelded to partially welded ignimbrites or fallout tephra.  Many of the tuffaceous deposits represent redeposited material that formed tuffaceous sandstone, and many of these deposits contain arkosic grains that represent mixing of different source matieral.  Arkosic sandstone, and especially conglomerate (some with maximum clast lengths up to 1 m), represent intermittent incursions of coarser plutoniclastic fan deposits into other finer grained and mostly volcaniclastic basin deposits.  After deposition of the 18.78 Ma Peach Spring Tuff, the amount of tuffaceous material decreased.  The upper two-thirds of the formation has arkosic sandstone and conglomerate interstratified with two olivine basalt lave flows.  locally, conglomerate clasts in this part of the section have maximum lengths up to 1 m.  Many tuffaceous and arkosic sandstone beds of the Spanish Canyon Formation have tabular to broad (low-relief) lenticular geometry, and locally, some arkosic conglomerate fills channels as much as 1.5 m deep.  These bedforms are consistent with deposition in medial to distal alluvial-fan or fluvial environments; some finer-grained deposits might have formed in lacustrine environments.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2014 Desert Symposium proceedings: not a drop left to drink","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2014 Desert Symposium","conferenceDate":"April 18, 2014","conferenceLocation":"Baker, CA","language":"English","publisher":"California State University Desert Studies Center","publisherLocation":"Fullerton, CA","usgsCitation":"Buesch, D.C., 2014, Interstratified arkosic and volcanic rocks of the Miocene Spanish Canyon Formation, Alvord Mountain area, California: Descriptions and interpretations, <i>in</i> 2014 Desert Symposium proceedings: not a drop left to drink, Baker, CA, April 18, 2014, p. 190-203.","productDescription":"14 p.","startPage":"190","endPage":"203","numberOfPages":"14","ipdsId":"IP-054834","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":289386,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289385,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://biology.fullerton.edu/dsc/school/symposium.html"}],"country":"United States","state":"California","otherGeospatial":"Alvord Mountain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.747255,35.024414 ], [ -116.747255,35.170481 ], [ -116.491136,35.170481 ], [ -116.491136,35.024414 ], [ -116.747255,35.024414 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b190e4b0388651d917cf","contributors":{"authors":[{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":490777,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70074384,"text":"sir20145013 - 2014 - Potentiometric surface of the Ozark aquifer in northern Arkansas, 2010","interactions":[],"lastModifiedDate":"2014-02-21T12:37:39","indexId":"sir20145013","displayToPublicDate":"2014-02-21T12:20:00","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":"2014-5013","title":"Potentiometric surface of the Ozark aquifer in northern Arkansas, 2010","docAbstract":"<p>The Ozark aquifer in northern Arkansas is composed of dolomite, limestone, sandstone, and shale of Late Cambrian to Middle Devonian age and ranges in thickness from approximately 1,100 feet to more than 4,000 feet. Hydrologically, the aquifer is complex, characterized by discrete and discontinuous flow components with large variations in permeability.</p>\n\n<br>\n\n<p>The potentiometric-surface map, based on 56 well and 5 spring water-level measurements made in 2010 in Arkansas and Missouri, has a maximum water-level altitude measurement of 1,174 feet in Carroll County and a minimum water-level altitude measurement of 120 feet in Randolph County. Regionally, the flow within the aquifer is to the south and southeast in the eastern and central part of the study area and to the west, northwest, and north in the western part of the study area. Water-level altitudes changed 0.5 feet or less in 31 out of 56 wells measured between 2007 and 2010.</p>\n\n<br>\n\n<p>Despite rapidly increasing population within the study area, the increase appears to have minimal effect on groundwater levels, although the effect may have been minimized by the development and use of surface-water distribution infrastructure, suggesting that most of the incoming populations are fulfilling their water needs from surface-water sources. The conversion of some users from groundwater to surface water may be allowing water levels in some wells to recover (rise) or decline at a slower rate in some areas such as in Benton, Carroll, and Washington Counties.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145013","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission and the Arkansas Geological Survey","usgsCitation":"Czarnecki, J.B., Pugh, A., and Blackstock, J.M., 2014, Potentiometric surface of the Ozark aquifer in northern Arkansas, 2010: U.S. Geological Survey Scientific Investigations Report 2014-5013, Report: iv, 16 p.; 1 Map: 17.00 x 11.00 inches, https://doi.org/10.3133/sir20145013.","productDescription":"Report: iv, 16 p.; 1 Map: 17.00 x 11.00 inches","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-052830","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":282628,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5013/"},{"id":282629,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5013/pdf/sir2014-5013.pdf"},{"id":282630,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5013/pdf/sir2014-5013_pl1.pdf"},{"id":282631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145013.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Ozark Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.6179,33.0041 ], [ -94.6179,36.4997 ], [ -89.6468,36.4997 ], [ -89.6468,33.0041 ], [ -94.6179,33.0041 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6c2ae4b0b29085104631","contributors":{"authors":[{"text":"Czarnecki, John B. jczarnec@usgs.gov","contributorId":2555,"corporation":false,"usgs":true,"family":"Czarnecki","given":"John","email":"jczarnec@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":489557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pugh, Aaron L. apugh@usgs.gov","contributorId":2480,"corporation":false,"usgs":true,"family":"Pugh","given":"Aaron L.","email":"apugh@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blackstock, Joshua M. jblackst@usgs.gov","contributorId":5553,"corporation":false,"usgs":true,"family":"Blackstock","given":"Joshua","email":"jblackst@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":489558,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70094415,"text":"ofr20141032 - 2014 - Identifying resource manager information needs for the North Pacific Landscape Conservation Cooperative","interactions":[],"lastModifiedDate":"2014-02-21T08:17:46","indexId":"ofr20141032","displayToPublicDate":"2014-02-21T08:01:00","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":"2014-1032","title":"Identifying resource manager information needs for the North Pacific Landscape Conservation Cooperative","docAbstract":"Landscape Conservation Cooperatives (LCCs) are a network of 22 public-private partnerships, defined by ecoregion, that share and provide science to ensure the sustainability of land, water, wildlife and cultural resources in North America. LLCs were established by the U.S. Department of Interior (DOI) in recognition that response to climate change must be coordinated on a landscape-level basis because important resources, ecosystem processes and resource management challenges extend beyond national wildlife refuges, Bureau of Land Management lands, national parks, and even international boundaries. Therefore, DOI agencies must work with other Federal, State, Tribal (U.S. indigenous peoples), First Nation (Canadian indigenous peoples), and local governments, as well as private landowners, to develop landscape-level strategies for understanding and responding to climate change.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141032","collaboration":"Prepared in cooperation with the North Pacific Landscape Conservation Cooperative","usgsCitation":"Woodward, A., Liedtke, T., and Jenni, K., 2014, Identifying resource manager information needs for the North Pacific Landscape Conservation Cooperative: U.S. Geological Survey Open-File Report 2014-1032, vi, 54 p., https://doi.org/10.3133/ofr20141032.","productDescription":"vi, 54 p.","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-051292","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":282610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141032.GIF"},{"id":282608,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1032/"},{"id":282609,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1032/pdf/ofr2014-1032.pdf"}],"country":"Canada;United States","state":"Alaska;British Columbia;California;Oregon;Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -152.8,37.0 ], [ -152.8,64.01 ], [ -117.73,64.01 ], [ -117.73,37.0 ], [ -152.8,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd61fbe4b0b290850fddf4","contributors":{"authors":[{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":490602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liedtke, Theresa","contributorId":91763,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","affiliations":[],"preferred":false,"id":490603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenni, Karen","contributorId":101520,"corporation":false,"usgs":true,"family":"Jenni","given":"Karen","affiliations":[],"preferred":false,"id":490604,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70094493,"text":"70094493 - 2014 - Ecological site-based assessments of wind and water erosion: informing accelerated soil erosion management in rangelands","interactions":[],"lastModifiedDate":"2014-09-05T08:21:58","indexId":"70094493","displayToPublicDate":"2014-02-20T16:26:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Ecological site-based assessments of wind and water erosion: informing accelerated soil erosion management in rangelands","docAbstract":"Accelerated soil erosion occurs when anthropogenic processes modify soil, vegetation or climatic conditions causing erosion rates at a location to exceed their natural variability. Identifying where and when accelerated erosion occurs is a critical first step toward its effective management. Here we explore how erosion assessments structured in the context of ecological sites (a land classification based on soils, landscape setting and ecological potential) and their vegetation states (plant assemblages that may change due to management) can inform systems for reducing accelerated soil erosion in rangelands. We evaluated aeolian horizontal sediment flux and fluvial sediment erosion rates for five ecological sites in southern New Mexico, USA, using monitoring data and rangeland-specific wind and water erosion models. Across the ecological sites, plots in shrub-encroached and shrub-dominated vegetation states were consistently susceptible to aeolian sediment flux and fluvial sediment erosion. Both processes were found to be highly variable for grassland and grass-succulent states across the ecological sites at the plot scale (0.25 Ha). We identify vegetation thresholds that define cover levels below which rapid (exponential) increases in aeolian sediment flux and fluvial sediment erosion occur across the ecological sites and vegetation states. Aeolian sediment flux and fluvial erosion in the study area can be effectively controlled when bare ground cover is <20% of a site or the cover of canopy interspaces >100 cm in length is less than ~35%. Land use and management activities that alter cover levels such that they cross thresholds, and/or drive vegetation state changes, may increase the susceptibility of areas to erosion. Land use impacts that are constrained within the range of natural variability should not result in accelerated soil erosion. Evaluating land condition against the erosion thresholds identified here will enable identification of areas susceptible to accelerated soil erosion and the development of practical management solutions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-1175.1","usgsCitation":"Webb, N., Herrick, J.E., and Duniway, M.C., 2014, Ecological site-based assessments of wind and water erosion: informing accelerated soil erosion management in rangelands: Ecological Applications, v. 24, no. 6, p. 1405-1420, https://doi.org/10.1890/13-1175.1.","productDescription":"16 p.","startPage":"1405","endPage":"1420","numberOfPages":"16","ipdsId":"IP-050767","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":282605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282604,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/13-1175.1"}],"country":"United States","state":"New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.2048,32.1 ], [ -106.2048,32.7018 ], [ -105.4578,32.7018 ], [ -105.4578,32.1 ], [ -106.2048,32.1 ] ] ] } } ] }","volume":"24","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd564de4b0b290850f6d50","contributors":{"authors":[{"text":"Webb, Nicholas P.","contributorId":81409,"corporation":false,"usgs":true,"family":"Webb","given":"Nicholas P.","affiliations":[],"preferred":false,"id":490651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrick, Jeffrey E.","contributorId":26054,"corporation":false,"usgs":false,"family":"Herrick","given":"Jeffrey","email":"","middleInitial":"E.","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":490650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":490649,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70058590,"text":"ofr20131288 - 2014 - Borehole geophysical data for the East Poplar oil field area, Fort Peck Indian Reservation, northeastern Montana, 1993, 2004, and 2005","interactions":[],"lastModifiedDate":"2020-11-18T14:50:50.90687","indexId":"ofr20131288","displayToPublicDate":"2014-02-20T16:15:00","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":"2013-1288","displayTitle":"Borehole Geophysical Data for the East Poplar Oil Field Area, Fort Peck Indian Reservation, Northeastern Montana, 1993, 2004, and 2005","title":"Borehole geophysical data for the East Poplar oil field area, Fort Peck Indian Reservation, northeastern Montana, 1993, 2004, and 2005","docAbstract":"<p>Areas of high electrical conductivity in shallow aquifers in the East Poplar oil field area were delineated by the U.S. Geological Survey (USGS), in cooperation with the Fort Peck Assiniboine and Sioux Tribes, in order to interpret areas of saline-water contamination. Ground, airborne, and borehole geophysical data were collected in the East Poplar oil field area from 1992 through 2005 as part of this delineation. This report presents borehole geophysical data for thirty-two wells that were collected during 1993, 2004, and 2005 in the East Poplar oil field study area. Natural-gamma and induction instruments were used to provide information about the lithology and conductivity of the soil, rock, and water matrix adjacent to and within the wells. The well logs were also collected to provide subsurface controls for interpretation of a helicopter electromagnetic survey flown over most of the East Poplar oil field in 2004. The objective of the USGS studies was to improve understanding of aquifer hydrogeology particularly in regard to variations in water quality.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131288","collaboration":"Prepared in cooperation with the Office of Environmental Protection of the Fort Peck Tribes","usgsCitation":"Smith, B.D., Thamke, J.N, and Tyrrell, Christa, 2014, Borehole geophysical data for the East Poplar oil field area, Fort Peck Indian Reservation, northeastern Montana, 1993, 2004, and 2005 (ver. 1.1, November 2020): U.S. Geological Survey Open-File Report 2013–1288, 11 p., https://doi.org/10.3133/ofr20131288.","productDescription":"Report: iv, 11 p.; Appendix","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045027","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":379880,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1288/pdf/ofr2013-1288_Revised.pdf","text":"Report","size":"2.53 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2013–1288"},{"id":379881,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1288/ofr20131288_appendix_1","text":"Appendix 1","linkHelpText":"— Plots of Digital Geophysical Logs"},{"id":282603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1288/images/coverthb3.jpg"},{"id":379882,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2013/1288/versionHist.txt","size":"2.96 kB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2013–1288 Version History"}],"country":"United States","state":"Montana","otherGeospatial":"Fort Peck Indian Reservation","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.0,48.0 ], [ -106.0,48.5 ], [ -105.0,48.5 ], [ -105.0,48.0 ], [ -106.0,48.0 ] ] ] } } ] }","edition":"Version 1.0: February 20, 2014; Version 1.1: November 18, 2020","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/gggsc\" href=\"https://www.usgs.gov/centers/gggsc\">Geology, Geophysics, and Geochemistry Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS 964<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Borehole-Geophysical Data</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2014-02-20","revisedDate":"2020-11-18","noUsgsAuthors":false,"publicationDate":"2014-02-20","publicationStatus":"PW","scienceBaseUri":"53cd4fb6e4b0b290850f2dfb","contributors":{"authors":[{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":487195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thamke, Joanna N. 0000-0002-6917-1946 jothamke@usgs.gov","orcid":"https://orcid.org/0000-0002-6917-1946","contributorId":1012,"corporation":false,"usgs":true,"family":"Thamke","given":"Joanna N.","email":"jothamke@usgs.gov","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tyrrell, Christa","contributorId":13704,"corporation":false,"usgs":true,"family":"Tyrrell","given":"Christa","email":"","affiliations":[],"preferred":false,"id":487197,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70099271,"text":"70099271 - 2014 - Application of threshold concepts to ecological management problems: Occupancy of Golden Eagles in Denali National Park, Alaska","interactions":[],"lastModifiedDate":"2021-11-26T14:18:25.471365","indexId":"70099271","displayToPublicDate":"2014-02-20T15:19:04","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"5","title":"Application of threshold concepts to ecological management problems: Occupancy of Golden Eagles in Denali National Park, Alaska","docAbstract":"In this chapter, we demonstrate the application of the various classes of thresholds, detailed in earlier chapters and elsewhere, via an actual but simplified natural resource management case study. We intend our example to provide the reader with the ability to recognize and apply the theoretical concepts of utility, ecological and decision thresholds to management problems through a formalized decision-analytic process. Our case study concerns the management of human recreational activities in Alaska’s Denali National Park, USA, and the possible impacts of such activities on nesting Golden Eagles, Aquila chrysaetos. Managers desire to allow visitors the greatest amount of access to park lands, provided that eagle nesting-site occupancy is maintained at a level determined to be acceptable by the managers themselves. As these two management objectives are potentially at odds, we treat minimum desired occupancy level as a utility threshold which, then, serves to guide the selection of annual management alternatives in the decision process. As human disturbance is not the only factor influencing eagle occupancy, we model nesting-site dynamics as a function of both disturbance and prey availability. We incorporate uncertainty in these dynamics by considering several hypotheses, including a hypothesis that site occupancy is affected only at a threshold level of prey abundance (i.e., an ecological threshold effect). By considering competing management objectives and accounting for two forms of thresholds in the decision process, we are able to determine the optimal number of annual nesting-site restrictions that will produce the greatest long-term benefits for both eagles and humans. Setting a utility threshold of 75 occupied sites, out of a total of 90 potential nesting sites, the optimization specified a decision threshold at approximately 80 occupied sites. At the point that current occupancy falls below 80 sites, the recommended decision is to begin restricting access to humans; above this level, it is recommended that all eagle territories be opened to human recreation. We evaluated the sensitivity of the decision threshold to uncertainty in system dynamics and to management objectives (i.e., to the utility threshold).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Application of threshold concepts in natural resource decision making","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-1-4899-8041-0_5","usgsCitation":"Eaton, M., Martin, J., Nichols, J., McIntyre, C., McCluskie, M.C., Schmutz, J.A., Lubow, B.L., and Runge, M.C., 2014, Application of threshold concepts to ecological management problems: Occupancy of Golden Eagles in Denali National Park, Alaska, chap. 5 <i>of</i> Application of threshold concepts in natural resource decision making, p. 67-86, https://doi.org/10.1007/978-1-4899-8041-0_5.","productDescription":"20 p.","startPage":"67","endPage":"86","ipdsId":"IP-035575","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":284416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Denali National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -151.01,63.17 ], [ -151.01,63.49 ], [ -149.99,63.49 ], [ -149.99,63.17 ], [ -151.01,63.17 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2014-02-08","publicationStatus":"PW","scienceBaseUri":"5351701ee4b05569d805a154","contributors":{"editors":[{"text":"Guntenspergen, Glenn R.","contributorId":113070,"corporation":false,"usgs":false,"family":"Guntenspergen","given":"Glenn R.","affiliations":[],"preferred":false,"id":509828,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Eaton, Mitchell J.","contributorId":71308,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell J.","affiliations":[],"preferred":false,"id":491925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":491921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":491918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McIntyre, Carol","contributorId":12363,"corporation":false,"usgs":true,"family":"McIntyre","given":"Carol","affiliations":[],"preferred":false,"id":491922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCluskie, Maggie C.","contributorId":57730,"corporation":false,"usgs":true,"family":"McCluskie","given":"Maggie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":491924,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":491919,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lubow, Bruce L.","contributorId":54474,"corporation":false,"usgs":true,"family":"Lubow","given":"Bruce","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491923,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":491920,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70058458,"text":"70058458 - 2014 - Prodigious degassing of a billion years of accumulated radiogenic helium at Yellowstone","interactions":[],"lastModifiedDate":"2019-03-11T10:12:53","indexId":"70058458","displayToPublicDate":"2014-02-20T14:47:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Prodigious degassing of a billion years of accumulated radiogenic helium at Yellowstone","docAbstract":"<p>Helium is used as a critical tracer throughout the Earth sciences, where its relatively simple isotopic systematics is used to trace degassing from the mantle, to date groundwater and to time the rise of continents<sup>1</sup>. The hydrothermal system at Yellowstone National Park is famous for its high helium-3/helium-4 isotope ratio, commonly cited as evidence for a deep mantle source for the Yellowstone hotspot<sup>2</sup>. However, much of the helium emitted from this region is actually radiogenic helium-4 produced within the crust by &alpha;-decay of uranium and thorium. Here we show, by combining gas emission rates with chemistry and isotopic analyses, that crustal helium-4 emission rates from Yellowstone exceed (by orders of magnitude) any conceivable rate of generation within the crust. It seems that helium has accumulated for (at least) many hundreds of millions of years in Archaean (more than 2.5 billion years old) cratonic rocks beneath Yellowstone, only to be liberated over the past two million years by intense crustal metamorphism induced by the Yellowstone hotspot. Our results demonstrate the extremes in variability of crustal helium efflux on geologic timescales and imply crustal-scale open-system behaviour of helium in tectonically and magmatically active regions.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Macmillan Publishers Limited","doi":"10.1038/nature12992","usgsCitation":"Lowenstern, J.B., Evans, W.C., Bergfeld, D., and Hunt, A.G., 2014, Prodigious degassing of a billion years of accumulated radiogenic helium at Yellowstone: Nature, v. 506, p. 355-358, https://doi.org/10.1038/nature12992.","productDescription":"4 p.","startPage":"355","endPage":"358","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050861","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":283862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.16790771484375,\n              44.1289994645142\n            ],\n            [\n              -111.16790771484375,\n              45.11811475546806\n            ],\n            [\n              -109.8248291015625,\n              45.11811475546806\n            ],\n            [\n              -109.8248291015625,\n              44.1289994645142\n            ],\n            [\n              -111.16790771484375,\n              44.1289994645142\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"506","noUsgsAuthors":false,"publicationDate":"2014-02-19","publicationStatus":"PW","scienceBaseUri":"54e322bde4b08de9379b4f8c","contributors":{"authors":[{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":487062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, William C. 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":2353,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":487065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergfeld, D. dbergfel@usgs.gov","contributorId":2069,"corporation":false,"usgs":true,"family":"Bergfeld","given":"D.","email":"dbergfel@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":487063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":487064,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70074339,"text":"sim3288 - 2014 - Hydrogeologic framework and geologic structure of the Floridan aquifer system and intermediate confining unit in the Lake Okeechobee area, Florida","interactions":[],"lastModifiedDate":"2014-02-20T14:35:45","indexId":"sim3288","displayToPublicDate":"2014-02-20T14:25:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3288","title":"Hydrogeologic framework and geologic structure of the Floridan aquifer system and intermediate confining unit in the Lake Okeechobee area, Florida","docAbstract":"The successful implementation of aquifer storage and recovery (ASR) as a water-management tool requires detailed information on the hydrologic and hydraulic properties of the potential water storage zones. This report presents stratigraphic and hydrogeologic sections of the upper part of the Floridan aquifer system and the overlying confining unit or aquifer system in the Lake Okeechobee area, and contour maps of the upper contacts of the Ocala Limestone and the Arcadia Formation, which are represented in the sections. The sections and maps illustrate hydrogeologic factors such as confinement of potential storage zones, the distribution of permeability within the zones, and geologic features that may control the efficiency of injection, storage, and recovery of water, and thus may influence decisions on ASR activities in areas of interest to the Comprehensive Everglades Restoration Plan.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3288","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Reese, R.S., 2014, Hydrogeologic framework and geologic structure of the Floridan aquifer system and intermediate confining unit in the Lake Okeechobee area, Florida: U.S. Geological Survey Scientific Investigations Map 3288, Report: iv, 12 p.; 8 Map Sheets; 2 Appendices, https://doi.org/10.3133/sim3288.","productDescription":"Report: iv, 12 p.; 8 Map Sheets; 2 Appendices","onlineOnly":"Y","ipdsId":"IP-044162","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":282582,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3288/pdf"},{"id":282580,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3288/"},{"id":282583,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sim/3288/table"},{"id":282581,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3288/pdf/sim3288.pdf"},{"id":282586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3288.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Okeechobee","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.5,26.3 ], [ -81.5,27.7 ], [ -80.0,27.7 ], [ -80.0,26.3 ], [ -81.5,26.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd610be4b0b290850fd4ea","contributors":{"authors":[{"text":"Reese, Ronald S. rsreese@usgs.gov","contributorId":1090,"corporation":false,"usgs":true,"family":"Reese","given":"Ronald","email":"rsreese@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":489520,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70074399,"text":"ofr20141015 - 2014 - Regression models for estimating salinity and selenium concentrations at selected sites in the Upper Colorado River Basin, Colorado, 2009-2012","interactions":[],"lastModifiedDate":"2016-04-12T16:23:04","indexId":"ofr20141015","displayToPublicDate":"2014-02-20T14:01:00","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":"2014-1015","title":"Regression models for estimating salinity and selenium concentrations at selected sites in the Upper Colorado River Basin, Colorado, 2009-2012","docAbstract":"<p>Elevated concentrations of salinity and selenium in the tributaries and main-stem reaches of the Colorado River are a water-quality concern and have been the focus of remediation efforts for many years. Land-management practices with the objective of limiting the amount of salt and selenium that reaches the stream have focused on improving the methods by which irrigation water is conveyed and distributed. Federal land managers implement improvements in accordance with the Colorado River Basin Salinity Control Act of 1974, which directs Federal land managers to enhance and protect the quality of water available in the Colorado River. In an effort to assist in evaluating and mitigating the detrimental effects of salinity and selenium, the U.S. Geological Survey, in cooperation with the Bureau of Reclamation, the Colorado River Water Resources District, and the Bureau of Land Management, analyzed salinity and selenium data collected at sites to develop regression models. The study area and sites are on the Colorado River or in one of three small basins in Western Colorado: the White River Basin, the Lower Gunnison River Basin, and the Dolores River Basin. By using data collected from water years 2009 through 2011, regression models able to estimate concentrations were developed for salinity at six sites and selenium at six sites. At a minimum, data from discrete measurement of salinity or selenium concentration, streamflow, and specific conductance at each of the sites were needed for model development. Comparison of the <i>Adjusted R<sup>2</sup></i> and standard error statistics of the two salinity models developed at each site indicated the models using specific conductance as the explanatory variable performed better than those using streamflow. The addition of multiple explanatory variables improved the ability to estimate selenium concentration at several sites compared with use of solely streamflow or specific conductance. The error associated with the log-transformed salinity and selenium estimates is consistent in log space; however, when the estimates are transformed into non-log values, the error increases as the estimates decrease. Continuous streamflow and specific conductance data collected at study sites provide the means to examine temporal variability in constituent concentration and load. The regression models can estimate continuous concentrations or loads on the basis of continuous specific conductance or streamflow data. Similar estimates are available for other sites at the USGS National Real-Time Water Quality Web page (<a href=\"http://nrtwq.usgs.gov\" target=\"_blank\">http://nrtwq.usgs.gov</a>) and provide water-resource managers with a means of improving their general understanding of how constituent concentration or load can change annually, seasonally, or in real time.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141015","collaboration":"Prepared in cooperation with the Bureau of Reclamation, the Colorado River Water Resources District, and the Bureau of Land Management","usgsCitation":"Linard, J.I., and Schaffrath, K.R., 2014, Regression models for estimating salinity and selenium concentrations at selected sites in the Upper Colorado River Basin, Colorado, 2009-2012: U.S. Geological Survey Open-File Report 2014-1015, v, 28 p., https://doi.org/10.3133/ofr20141015.","productDescription":"v, 28 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2008-10-01","temporalEnd":"2011-09-30","ipdsId":"IP-051865","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":282585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141015.jpg"},{"id":282578,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1015/"},{"id":282584,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1015/pdf/of2014-1015.pdf"}],"datum":"North American Datum 1983","country":"United States","state":"Colorado","otherGeospatial":"Colorado River, Dolores River Basin, Lower Gunnison River Basin, Upper Colorado River Basin, White River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.05,\n              38\n            ],\n            [\n              -109.05,\n              40.5\n            ],\n            [\n              -107.1,\n              40.5\n            ],\n            [\n              -107.1,\n              38\n            ],\n            [\n              -109.05,\n              38\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd700de4b0b29085106cd2","contributors":{"authors":[{"text":"Linard, Joshua I. jilinard@usgs.gov","contributorId":1465,"corporation":false,"usgs":true,"family":"Linard","given":"Joshua","email":"jilinard@usgs.gov","middleInitial":"I.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaffrath, Keelin R.","contributorId":7552,"corporation":false,"usgs":true,"family":"Schaffrath","given":"Keelin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":489565,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70094482,"text":"70094482 - 2014 - Cenozoic planktonic marine diatom diversity and correlation to climate change","interactions":[],"lastModifiedDate":"2014-02-20T09:25:19","indexId":"70094482","displayToPublicDate":"2014-02-20T09:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Cenozoic planktonic marine diatom diversity and correlation to climate change","docAbstract":"Marine planktonic diatoms export carbon to the deep ocean, playing a key role in the global carbon cycle. Although commonly thought to have diversified over the Cenozoic as global oceans cooled, only two conflicting quantitative reconstructions exist, both from the Neptune deep-sea microfossil occurrences database. Total diversity shows Cenozoic increase but is sample size biased; conventional subsampling shows little net change. We calculate diversity from a separately compiled new diatom species range catalog, and recalculate Neptune subsampled-in-bin diversity using new methods to correct for increasing Cenozoic geographic endemism and decreasing Cenozoic evenness. We find coherent, substantial Cenozoic diversification in both datasets. Many living cold water species, including species important for export productivity, originate only in the latest Miocene or younger. We make a first quantitative comparison of diatom diversity to the global Cenozoic benthic ∂<sup>18</sup>O (climate) and carbon cycle records (∂<sup>13</sup>C, and 20-0 Ma pCO<sub>2</sub>). Warmer climates are strongly correlated with lower diatom diversity (raw: rho = .92, p<.001; detrended, r = .6, p = .01). Diatoms were 20% less diverse in the early late Miocene, when temperatures and pCO<sub>2</sub> were only moderately higher than today. Diversity is strongly correlated to both ∂<sup>13</sup>C and pCO<sub>2</sub> over the last 15 my (for both: r>.9, detrended r>.6, all p<.001), but only weakly over the earlier Cenozoic, suggesting increasingly strong linkage of diatom and climate evolution in the Neogene. Our results suggest that many living marine planktonic diatom species may be at risk of extinction in future warm oceans, with an unknown but potentially substantial negative impact on the ocean biologic pump and oceanic carbon sequestration. We cannot however extrapolate our my-scale correlations with generic climate proxies to anthropogenic time-scales of warming without additional species-specific information on proximate ecologic controls.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0084857","usgsCitation":"Lazarus, D., Barron, J., Renaudie, J., Diver, P., and Turke, A., 2014, Cenozoic planktonic marine diatom diversity and correlation to climate change: PLoS ONE, v. 9, no. 1, 8 p., https://doi.org/10.1371/journal.pone.0084857.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","costCenters":[],"links":[{"id":473169,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0084857","text":"Publisher Index Page"},{"id":282560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282559,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0084857"}],"volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-22","publicationStatus":"PW","scienceBaseUri":"5351702be4b05569d805a18a","contributors":{"authors":[{"text":"Lazarus, David","contributorId":71877,"corporation":false,"usgs":true,"family":"Lazarus","given":"David","email":"","affiliations":[],"preferred":false,"id":490609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barron, John","contributorId":87059,"corporation":false,"usgs":true,"family":"Barron","given":"John","affiliations":[],"preferred":false,"id":490610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Renaudie, Johan","contributorId":17908,"corporation":false,"usgs":true,"family":"Renaudie","given":"Johan","email":"","affiliations":[],"preferred":false,"id":490607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diver, Patrick","contributorId":41329,"corporation":false,"usgs":true,"family":"Diver","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":490608,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turke, Andreas","contributorId":97419,"corporation":false,"usgs":true,"family":"Turke","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":490611,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048995,"text":"ds804 - 2014 - Magnetic susceptibility data for some exposed bedrock in the western conterminous United States","interactions":[],"lastModifiedDate":"2023-05-26T15:33:36.390647","indexId":"ds804","displayToPublicDate":"2014-02-20T08:19:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"804","title":"Magnetic susceptibility data for some exposed bedrock in the western conterminous United States","docAbstract":"In-place rock magnetic susceptibility measurements for 746 sites in the western conterminous United States are reported in a database. Of these 746 sites, 408 sites are in the Silverton Caldera area of the San Juan Mountains of southwestern Colorado. Of the 408 sites in the Silverton Caldera area, 106 sites are underground. The remaining 338 sites outside the Silverton Caldera area were on outcropping rock, are distributed from southern Arizona to northwestern Wyoming, and include data from California, Nevada, Utah, Colorado, and New Mexico. Rock-density measurements are included for some sites. These data have been collected by various U.S. Geological Survey studies from 1991 through 2012 and are intended to help improve geophysical modeling of the Earth’s crust in the Western United States. A map-based graphical user interface is included to facilitate use of the data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds804","usgsCitation":"Gettings, M.E., and Bultman, M.W., 2014, Magnetic susceptibility data for some exposed bedrock in the western conterminous United States: U.S. Geological Survey Data Series 804, Report: iv, 5 p.; Graphical User Interface; Magnetic Susceptibility Data, https://doi.org/10.3133/ds804.","productDescription":"Report: iv, 5 p.; Graphical User Interface; Magnetic Susceptibility Data","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-044645","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":417510,"rank":6,"type":{"id":36,"text":"NGMDB Index 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,{"id":70093657,"text":"ofr20141022 - 2014 - Groundwater level and nitrate concentration trends on Mountain Home Air Force Base, southwestern Idaho","interactions":[],"lastModifiedDate":"2014-02-20T09:25:57","indexId":"ofr20141022","displayToPublicDate":"2014-02-20T07:33:00","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":"2014-1022","title":"Groundwater level and nitrate concentration trends on Mountain Home Air Force Base, southwestern Idaho","docAbstract":"<p>Mountain Home Air Force Base in southwestern Idaho draws most of its drinking water from the regional aquifer. The base is located within the State of Idaho's Mountain Home Groundwater Management Area and is adjacent to the State's Cinder Cone Butte Critical Groundwater Area. Both areas were established by the Idaho Department of Water Resources in the early 1980s because of declining water levels in the regional aquifer. The base also is listed by the Idaho Department of Environmental Quality as a nitrate priority area.</p>\n<br/>\n<p>The U.S. Geological Survey, in cooperation with the U.S. Air Force, began monitoring wells on the base in 1985, and currently monitors 25 wells for water levels and 17 wells for water quality, primarily nutrients. This report provides a summary of water-level and nitrate concentration data collected primarily between 2001 and 2013 and examines trends in those data.</p>\n<br/>\n<p>A Regional Kendall Test was run to combine results from all wells to determine an overall regional trend in water level. Groundwater levels declined at an average rate of about 1.08 feet per year.</p>\n<br/>\n<p>Nitrate concentration trends show that 3 wells (18 percent) are increasing in nitrate concentration trend, 3 wells (18 percent) show a decreasing nitrate concentration trend, and 11 wells (64 percent) show no nitrate concentration trend. Six wells (35 percent) currently exceed the U.S. Environmental Protection Agency's maximum contaminant limit of 10 milligrams per liter for nitrate (nitrite plus nitrate, measured as nitrogen).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141022","collaboration":"Prepared in cooperation with the U.S. Air Force","usgsCitation":"Williams, M.L., 2014, Groundwater level and nitrate concentration trends on Mountain Home Air Force Base, southwestern Idaho: U.S. Geological Survey Open-File Report 2014-1022, Slide Presentation: 49 p., https://doi.org/10.3133/ofr20141022.","productDescription":"Slide Presentation: 49 p.","numberOfPages":"49","onlineOnly":"Y","ipdsId":"IP-044354","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":282549,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1022/"},{"id":282551,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1022/pdf/ofr2014-1022.pdf"},{"id":282552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141022.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.2675,42.7677 ], [ -116.2675,43.6015 ], [ -115.397,43.6015 ], [ -115.397,42.7677 ], [ -116.2675,42.7677 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5fe8e4b0b290850fc979","contributors":{"authors":[{"text":"Williams, Marshall L. mlwilliams@usgs.gov","contributorId":1444,"corporation":false,"usgs":true,"family":"Williams","given":"Marshall","email":"mlwilliams@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490139,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048963,"text":"ds800 - 2014 - Digital representation of oil and natural gas well pad scars in southwest Wyoming","interactions":[],"lastModifiedDate":"2014-02-19T14:41:37","indexId":"ds800","displayToPublicDate":"2014-02-19T14:37:14","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"800","title":"Digital representation of oil and natural gas well pad scars in southwest Wyoming","docAbstract":"The recent proliferation of oil and natural gas energy development in southwest Wyoming has stimulated the need to understand wildlife responses to this development. Central to many wildlife assessments is the use of geospatial methods that rely on digital representation of energy infrastructure. Surface disturbance of the well pad scars associated with oil and natural gas extraction has been an important but unavailable infrastructure layer. To provide a digital baseline of this surface disturbance, we extracted visible oil and gas well pad scars from 1-meter National Agriculture Imagery Program imagery (NAIP) acquired in 2009 for a 7.7 million-hectare region of southwest Wyoming. Scars include the pad area where wellheads, pumps, and storage facilities reside, and the surrounding area that was scraped and denuded of vegetation during the establishment of the pad. Scars containing tanks, compressors, and the storage of oil and gas related equipment, and produced-water ponds were also collected on occasion. Our extraction method was a two-step process starting with automated extraction followed by manual inspection and clean up. We used available well-point information to guide manual clean up and to derive estimates of year of origin and duration of activity on a pad scar. We also derived estimates of the proportion of non-vegetated area on a scar using a Normalized Difference Vegetation Index derived using 1-meter NAIP imagery. We extracted 16,973 pad scars of which 15,318 were oil and gas well pads. Digital representation of pad scars along with time-stamps of activity and estimates of non-vegetated area provides important baseline (circa 2009) data for assessments of wildlife responses, land-use trends, and disturbance-mediated pattern assessments.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds800","usgsCitation":"Garman, S.L., and McBeth, J.L., 2014, Digital representation of oil and natural gas well pad scars in southwest Wyoming: U.S. Geological Survey Data Series 800, Report: iv, 7 p.; Downloads Directory, https://doi.org/10.3133/ds800.","productDescription":"Report: iv, 7 p.; Downloads Directory","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-039038","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":282545,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/800/"},{"id":282547,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/800/downloads/"},{"id":282546,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/800/pdf/ds800.pdf"},{"id":282548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds800.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01638888888888889,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5511e4b0b290850f61cb","contributors":{"authors":[{"text":"Garman, Steven L. 0000-0002-9032-9074 slgarman@usgs.gov","orcid":"https://orcid.org/0000-0002-9032-9074","contributorId":3741,"corporation":false,"usgs":true,"family":"Garman","given":"Steven","email":"slgarman@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":485885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McBeth, Jamie L. 0000-0002-7688-7985 jlmcbeth@usgs.gov","orcid":"https://orcid.org/0000-0002-7688-7985","contributorId":1254,"corporation":false,"usgs":true,"family":"McBeth","given":"Jamie","email":"jlmcbeth@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":485884,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70094365,"text":"70094365 - 2014 - The chronic toxicity of sodium bicarbonate, a major component of coal bed natural gas produced waters","interactions":[],"lastModifiedDate":"2018-09-04T16:35:58","indexId":"70094365","displayToPublicDate":"2014-02-19T13:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"The chronic toxicity of sodium bicarbonate, a major component of coal bed natural gas produced waters","docAbstract":"Sodium bicarbonate (NaHCO<sub>3</sub>) is the principal salt in coal bed natural gas produced water from the Powder River Structural Basin, Wyoming, USA, and concentrations of up to 3000 mg NaHCO<sub>3</sub>/L have been documented at some locations. No adequate studies have been performed to assess the chronic effects of NaHCO<sub>3</sub> exposure. The present study was initiated to investigate the chronic toxicity and define sublethal effects at the individual organism level to explain the mechanisms of NaHCO<sub>3</sub> toxicity. Three chronic experiments were completed with fathead minnows (Pimephales promelas), 1 with white suckers (Catostomus commersoni), 1 with Ceriodaphnia dubia, and 1 with a freshwater mussel, (Lampsilis siliquoidea). The data demonstrated that approximately 500 mg NaHCO<sub>3</sub>/L to 1000 mg NaHCO<sub>3</sub>/L affected all species of experimental aquatic animals in chronic exposure conditions. Freshwater mussels were the least sensitive to NaHCO<sub>3</sub> exposure, with a 10-d inhibition concentration that affects 20% of the sample population (IC20) of 952 mg NaHCO<sub>3</sub>/L. The IC20 for C. dubia was the smallest, at 359 mg NaHCO<sub>3</sub>/L. A significant decrease in sodium–potassium adenosine triphosphatase (Na<sup>+</sup>/K<sup>+</sup> ATPase) together with the lack of growth effects suggests that Na<sup>+</sup>/K<sup>+</sup> ATPase activity was shut down before the onset of death. Several histological anomalies, including increased incidence of necrotic cells, suggested that fish were adversely affected as a result of exposure to >450 mg NaHCO<sub>3</sub>/L.","language":"English","publisher":"Wiley","doi":"10.1002/etc.2455","usgsCitation":"Farag, A.M., and Harper, D., 2014, The chronic toxicity of sodium bicarbonate, a major component of coal bed natural gas produced waters: Environmental Toxicology and Chemistry, v. 33, no. 3, p. 532-540, https://doi.org/10.1002/etc.2455.","productDescription":"9 p.","startPage":"532","endPage":"540","numberOfPages":"9","ipdsId":"IP-045346","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":282541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282540,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2455"}],"volume":"33","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-01","publicationStatus":"PW","scienceBaseUri":"53517069e4b05569d805a3f9","contributors":{"authors":[{"text":"Farag, Aida M. 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":1139,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":490590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harper, David D.","contributorId":102946,"corporation":false,"usgs":true,"family":"Harper","given":"David D.","affiliations":[],"preferred":false,"id":490591,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70094362,"text":"70094362 - 2014 - Acute toxicity of sodium bicarbonate, a major component of coal bed natural gas produced waters, to 13 aquatic species as defined in the laboratory","interactions":[],"lastModifiedDate":"2018-09-14T15:59:33","indexId":"70094362","displayToPublicDate":"2014-02-19T13:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Acute toxicity of sodium bicarbonate, a major component of coal bed natural gas produced waters, to 13 aquatic species as defined in the laboratory","docAbstract":"Water produced during coal bed natural gas (CBNG) extraction in the Powder River Structural Basin of Wyoming and Montana (USA) may contain concentrations of sodium bicarbonate (NaHCO<sub>3</sub>) of more than 3000 mg/L. The authors evaluated the acute toxicity of NaHCO<sub>3</sub>, also expressed as bicarbonate (HCO<sub>3</sub><sup>−</sup>), to 13 aquatic organisms. Of the 13 species tested, 7 had a median lethal concentration (LC50) less than 2000 mg/L NaHCO<sub>3</sub>, or 1300 mg/L HCO<sub>3</sub><sup>−</sup>. The most sensitive species were Ceriodaphnia dubia, freshwater mussels (Lampsilis siliquoidea), pallid sturgeon (Scaphirhynchus albus), and shovelnose sturgeon (Scaphirhynchus platorynchus). The respective LC50s were 989 mg/L, 1120 mg/L, 1249 mg/L, and 1430 mg/L NaHCO<sub>3</sub>, or 699 mg/L, 844 mg/L, 831 mg/L, and 1038 mg/L HCO<sub>3</sub><sup>−</sup>. Age affected the sensitivity of fathead minnows, even within life stage. Two days posthatch, fathead minnows were more sensitive to NaHCO<sub>3</sub> and HCO<sub>3</sub><sup>−</sup> compared with 4-d-old fish, even though fish up to 14 d old are commonly used for toxicity evaluations. The authors recommend that ion toxicity exposures be conducted with organisms less than 24 h posthatch to ensure that experiments document the most sensitive stage of development. The results of the present study, along with historical and current research regarding the toxicity of bicarbonate, may be useful to establish regulatory standards for HCO<sub>3</sub><sup>−</sup>.","language":"English","publisher":"Wiley","doi":"10.1002/etc.2452","usgsCitation":"Harper, D., Farag, A.M., and Skaar, D., 2014, Acute toxicity of sodium bicarbonate, a major component of coal bed natural gas produced waters, to 13 aquatic species as defined in the laboratory: Environmental Toxicology and Chemistry, v. 33, no. 3, p. 525-531, https://doi.org/10.1002/etc.2452.","productDescription":"7 p.","startPage":"525","endPage":"531","numberOfPages":"7","ipdsId":"IP-045343","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":282538,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2452"},{"id":282539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-01","publicationStatus":"PW","scienceBaseUri":"53516f2ce4b05569d805a027","contributors":{"authors":[{"text":"Harper, David D.","contributorId":102946,"corporation":false,"usgs":true,"family":"Harper","given":"David D.","affiliations":[],"preferred":false,"id":490589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farag, Aida M. 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":1139,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":490587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skaar, Don","contributorId":9171,"corporation":false,"usgs":true,"family":"Skaar","given":"Don","email":"","affiliations":[],"preferred":false,"id":490588,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70094222,"text":"70094222 - 2014 - Adaptive responses reveal contemporary and future ecotypes in a desert shrub","interactions":[],"lastModifiedDate":"2014-02-19T09:19:35","indexId":"70094222","displayToPublicDate":"2014-02-19T09:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Adaptive responses reveal contemporary and future ecotypes in a desert shrub","docAbstract":"Interacting threats to ecosystem function, including climate change, wildfire, and invasive species necessitate native plant restoration in desert ecosystems. However, native plant restoration efforts often remain unguided by ecological genetic information. Given that many ecosystems are in flux from climate change, restoration plans need to account for both contemporary and future climates when choosing seed sources. In this study we analyze vegetative responses, including mortality, growth, and carbon isotope ratios in two blackbrush (Coleogyne ramosissima) common gardens that included 26 populations from a range-wide collection. This shrub occupies ecotones between the warm and cold deserts of Mojave and Colorado Plateau ecoregions in western North America. The variation observed in the vegetative responses of blackbrush populations was principally explained by grouping populations by ecoregions and by regression with site-specific climate variables. Aridity weighted by winter minimum temperatures best explained vegetative responses; Colorado Plateau sites were usually colder and drier than Mojave sites. The relationship between climate and vegetative response was mapped within the boundaries of the species–climate space projected for the contemporary climate and for the decade surrounding 2060. The mapped ecological genetic pattern showed that genetic variation could be classified into cool-adapted and warm-adapted ecotypes, with populations often separated by steep clines. These transitions are predicted to occur in both the Mojave Desert and Colorado Plateau ecoregions. While under contemporary conditions the warm-adapted ecotype occupies the majority of climate space, climate projections predict that the cool-adapted ecotype could prevail as the dominant ecotype as the climate space of blackbrush expands into higher elevations and latitudes. This study provides the framework for delineating climate change-responsive seed transfer guidelines, which are needed to inform restoration and management planning. We propose four transfer zones in blackbrush that correspond to areas currently dominated by cool-adapted and warm-adapted ecotypes in each of the two ecoregions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-0587.1","usgsCitation":"Richardson, B., Kitchen, S.G., Pendleton, R.L., Pendleton, B.K., Germino, M., Rehfeldt, G.E., and Meyer, S.E., 2014, Adaptive responses reveal contemporary and future ecotypes in a desert shrub: Ecological Applications, v. 24, no. 2, p. 413-427, https://doi.org/10.1890/13-0587.1.","productDescription":"15 p.","startPage":"413","endPage":"427","numberOfPages":"15","ipdsId":"IP-049665","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":282515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282508,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/13-0587.1"}],"country":"United States","state":"Arizona;California;Colorado;Nevada;New Mexico;Utah","otherGeospatial":"Colorado Plateau;Mojave Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,30.0 ], [ -120.0,40.0 ], [ -110.0,40.0 ], [ -110.0,30.0 ], [ -120.0,30.0 ] ] ] } } ] }","volume":"24","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53516f2ce4b05569d805a029","contributors":{"authors":[{"text":"Richardson, Bryce A.","contributorId":37249,"corporation":false,"usgs":true,"family":"Richardson","given":"Bryce A.","affiliations":[],"preferred":false,"id":490569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kitchen, Stanley G.","contributorId":60530,"corporation":false,"usgs":true,"family":"Kitchen","given":"Stanley","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":490571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pendleton, Rosemary L.","contributorId":69882,"corporation":false,"usgs":true,"family":"Pendleton","given":"Rosemary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":490572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pendleton, Burton K.","contributorId":107187,"corporation":false,"usgs":true,"family":"Pendleton","given":"Burton","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":490574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Germino, Matthew J.","contributorId":50029,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[],"preferred":false,"id":490570,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rehfeldt, Gerald E.","contributorId":89439,"corporation":false,"usgs":true,"family":"Rehfeldt","given":"Gerald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":490573,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meyer, Susan E.","contributorId":20251,"corporation":false,"usgs":true,"family":"Meyer","given":"Susan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":490568,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70093835,"text":"ofr20141029 - 2014 - Improving paleoecology studies for future predictions: Role of spatial and temporal scales for understanding ecology of the arid and semiarid landscape of the Southwest","interactions":[],"lastModifiedDate":"2023-05-26T15:34:50.008525","indexId":"ofr20141029","displayToPublicDate":"2014-02-18T15:27:00","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":"2014-1029","title":"Improving paleoecology studies for future predictions: Role of spatial and temporal scales for understanding ecology of the arid and semiarid landscape of the Southwest","docAbstract":"Paleoecology (or ecological biogeography) describes the past distribution of species or communities and is an informative path used to understand the future in the face of climate change. Paleoecological changes in the Southwest over the past several thousand years happened in the presence of landscape manipulations by humans, a factor that adds relevance but increases difficulty of interpretation. What paleo-records are needed for (1) understanding past climate-driven changes (climate proxies), (2) resolving species sensitivity to and resilience against change (biogeographical data), and (3) understanding past ecosystem function and changes (environmental data)? What information is most urgently needed for ecosystem forecasts, and are there kinds of monitoring we need to start now so that we will have ground truth in the near future? These are major questions. Answering them for the arid and semiarid landscape of the Southwest in part relies on careful thought about the spatial and temporal scales of data needed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141029","usgsCitation":"Miller, D., Ng, G., and Maher, K., 2014, Improving paleoecology studies for future predictions: Role of spatial and temporal scales for understanding ecology of the arid and semiarid landscape of the Southwest: U.S. Geological Survey Open-File Report 2014-1029, 25 p., https://doi.org/10.3133/ofr20141029.","productDescription":"25 p.","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-043597","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":282501,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1029/","linkFileType":{"id":5,"text":"html"}},{"id":282507,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141029.jpg"},{"id":282506,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1029/pdf/ofr2014-1029.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","otherGeospatial":"Southwest United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.73,25.13 ], [ -125.73,44.21 ], [ -94.48,44.21 ], [ -94.48,25.13 ], [ -125.73,25.13 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6231e4b0b290850fe03a","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":1707,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":490224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ng, Gene-Hua Crystal","contributorId":80182,"corporation":false,"usgs":true,"family":"Ng","given":"Gene-Hua Crystal","affiliations":[],"preferred":false,"id":490226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maher, Katharine","contributorId":46004,"corporation":false,"usgs":true,"family":"Maher","given":"Katharine","email":"","affiliations":[],"preferred":false,"id":490225,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70094206,"text":"70094206 - 2014 - Influence of stocking, site quality, stand age, low-severity canopy disturbance, and forest composition on sub-boreal aspen mixedwood carbon stocks","interactions":[],"lastModifiedDate":"2014-02-18T15:10:47","indexId":"70094206","displayToPublicDate":"2014-02-18T15:02:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Influence of stocking, site quality, stand age, low-severity canopy disturbance, and forest composition on sub-boreal aspen mixedwood carbon stocks","docAbstract":"Low-severity canopy disturbance presumably influences forest carbon dynamics during the course of stand development, yet the topic has received relatively little attention. This is surprising because of the frequent occurrence of such events and the potential for both the severity and frequency of disturbances to increase as a result of climate change. We investigated the impacts of low-severity canopy disturbance and average insect defoliation on forest carbon stocks and rates of carbon sequestration in mature aspen mixedwood forests of varying stand age (ranging from 61 to 85 years), overstory composition, stocking level, and site quality. Stocking level and site quality positively affected the average annual aboveground tree carbon increment (C<sub>AAI</sub>), while stocking level, site quality, and stand age positively affected tree carbon stocks (C<sub>TREE</sub>) and total ecosystem carbon stocks (C<sub>TOTAL</sub>). Cumulative canopy disturbance (DIST) was reconstructed using dendroecological methods over a 29-year period. DIST was negatively and significantly related to soil carbon (C<sub>SOIL</sub>), and it was negatively, albeit marginally, related to C<sub>TOTAL</sub>. Minima in the annual aboveground carbon increment of trees (C<sub>AI</sub>) occurred at sites during defoliation of aspen (<i>Populus tremuloides</i> Michx.) by forest tent caterpillar (<i>Malacosoma disstria</i> Hubner), and minima were more extreme at sites dominated by trembling aspen than sites mixed with conifers. At sites defoliated by forest tent caterpillar in the early 2000s, increased sequestration by the softwood component (<i>Abies balsamea</i> (L.) Mill. and <i>Picea glauca</i> (Moench) Voss) compensated for overall decreases in C<sub>AI</sub> by 17% on average. These results underscore the importance of accounting for low-severity canopy disturbance events when developing regional forest carbon models and argue for the restoration and maintenance of historically important conifer species within aspen mixedwoods to enhance stand-level resilience to disturbance agents and maintain site-level carbon stocks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Forest Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press, National Research Council Canada","publisherLocation":"Ottawa, Canada","doi":"10.1139/cjfr-2013-0165","usgsCitation":"Reinikainen, M., D’Amato, A.W., Bradford, J.B., and Fraver, S., 2014, Influence of stocking, site quality, stand age, low-severity canopy disturbance, and forest composition on sub-boreal aspen mixedwood carbon stocks: Canadian Journal of Forest Research, v. 44, no. 3, p. 230-242, https://doi.org/10.1139/cjfr-2013-0165.","productDescription":"13 p.","startPage":"230","endPage":"242","numberOfPages":"13","ipdsId":"IP-045433","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":282500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282499,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/cjfr-2013-0165"}],"country":"United States","state":"Minnesota","otherGeospatial":"Laurentian Mixed Forest Province","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.24,43.5 ], [ -97.24,49.38 ], [ -89.48,49.38 ], [ -89.48,43.5 ], [ -97.24,43.5 ] ] ] } } ] }","volume":"44","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517050e4b05569d805a2ee","contributors":{"authors":[{"text":"Reinikainen, Michael","contributorId":39286,"corporation":false,"usgs":true,"family":"Reinikainen","given":"Michael","email":"","affiliations":[],"preferred":false,"id":490559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Amato, Anthony W.","contributorId":35632,"corporation":false,"usgs":true,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":490558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":490557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraver, Shawn","contributorId":91379,"corporation":false,"usgs":false,"family":"Fraver","given":"Shawn","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":490560,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70093887,"text":"ofr20131282 - 2014 - Gravity, aeromagnetic and rock-property data of the central California Coast Ranges","interactions":[],"lastModifiedDate":"2023-05-26T15:35:53.252188","indexId":"ofr20131282","displayToPublicDate":"2014-02-18T12:44:00","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":"2013-1282","title":"Gravity, aeromagnetic and rock-property data of the central California Coast Ranges","docAbstract":"Gravity, aeromagnetic, and rock-property data were collected to support geologic-mapping, water-resource, and seismic-hazard studies for the central California Coast Ranges. These data are combined with existing data to provide gravity, aeromagnetic, and physical-property datasets for this region. The gravity dataset consists of approximately 18,000 measurements. The aeromagnetic dataset consists of total-field anomaly values from several detailed surveys that have been merged and gridded at an interval of 200 m. The physical property dataset consists of approximately 800 density measurements and 1,100 magnetic-susceptibility measurements from rock samples, in addition to previously published borehole gravity surveys from Santa Maria Basin, density logs from Salinas Valley, and intensities of natural remanent magnetization.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131282","usgsCitation":"Langenheim, V., 2014, Gravity, aeromagnetic and rock-property data of the central California Coast Ranges: U.S. Geological Survey Open-File Report 2013-1282, Report: ii, 12 p.; Data; Readme, https://doi.org/10.3133/ofr20131282.","productDescription":"Report: ii, 12 p.; Data; Readme","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-046410","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":282485,"rank":5,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131282.jpg"},{"id":417511,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99568.htm","linkFileType":{"id":5,"text":"html"}},{"id":282483,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1282/downloads/ofr2013-1282_data.zip"},{"id":282484,"rank":4,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2013/1282/downloads/readme.txt"},{"id":282482,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1282/pdf/ofr2013-1282.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":282480,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1282/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"California Coast Ranges, Salinas Valley, Santa Maria Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.99,34.18 ], [ -122.99,37.07 ], [ -118.72,37.07 ], [ -118.72,34.18 ], [ -122.99,34.18 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5f28e4b0b290850fc244","contributors":{"authors":[{"text":"Langenheim, V.E. 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":54956,"corporation":false,"usgs":true,"family":"Langenheim","given":"V.E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":490245,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70094162,"text":"70094162 - 2014 - Season and application rates affect vaccine bait consumption by prairie dogs in Colorado and Utah, USA","interactions":[],"lastModifiedDate":"2016-06-03T15:45:50","indexId":"70094162","displayToPublicDate":"2014-02-18T11:13:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Season and application rates affect vaccine bait consumption by prairie dogs in Colorado and Utah, USA","docAbstract":"<p>Plague, a zoonotic disease caused by the bacterium <i>Yersinia pestis</i>, causes high rates of mortality in prairie dogs (<i>Cynomys</i> spp.). An oral vaccine against plague has been developed for prairie dogs along with a palatable bait to deliver vaccine and a biomarker to track bait consumption. We conducted field trials between September 2009 and September 2012 to develop recommendations for bait distribution to deliver plague vaccine to prairie dogs. The objectives were to evaluate the use of the biomarker, rhodamine B, in field settings to compare bait distribution strategies, to compare uptake of baits distributed at different densities, to assess seasonal effects on bait uptake, and to measure bait uptake by nontarget small mammal species. Rhodamine B effectively marked prairie dogs' whiskers during these field trials. To compare bait distribution strategies, we applied baits around active burrows or along transects at densities of 32, 65, and 130 baits/ha. Distributing baits at active burrows or by transect did not affect uptake by prairie dogs. Distributing baits at rates of &ge;65/ha (or &ge;1 bait/active burrow) produced optimal uptake, and bait uptake by prairie dogs in the autumn was superior to uptake in the spring. Six other species of small mammals consumed baits during these trials. All four species of tested prairie dogs readily consumed the baits, demonstrating that vaccine uptake will not be an obstacle to plague control via oral vaccination.</p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2013-04-100","usgsCitation":"Tripp, D.W., Rocke, T.E., Streich, S.P., Brown, N.L., Fernandez, J., and Miller, M.W., 2014, Season and application rates affect vaccine bait consumption by prairie dogs in Colorado and Utah, USA: Journal of Wildlife Diseases, v. 50, no. 2, p. 224-234, https://doi.org/10.7589/2013-04-100.","productDescription":"11 p.","startPage":"224","endPage":"234","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050084","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":282473,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, 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