{"pageNumber":"1644","pageRowStart":"41075","pageSize":"25","recordCount":184606,"records":[{"id":70004894,"text":"70004894 - 2012 - Modelling rating curves using remotely sensed LiDAR data","interactions":[],"lastModifiedDate":"2018-04-02T15:28:10","indexId":"70004894","displayToPublicDate":"2012-06-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Modelling rating curves using remotely sensed LiDAR data","docAbstract":"Accurate stream discharge measurements are important for many hydrological studies. In remote locations, however, it is often difficult to obtain stream flow information because of the difficulty in making the discharge measurements necessary to define stage-discharge relationships (rating curves). This study investigates the feasibility of defining rating curves by using a fluid mechanics-based model constrained with topographic data from an airborne LiDAR scanning. The study was carried out for an 8m-wide channel in the boreal landscape of northern Sweden. LiDAR data were used to define channel geometry above a low flow water surface along the 90-m surveyed reach. The channel topography below the water surface was estimated using the simple assumption of a flat streambed. The roughness for the modelled reach was back calculated from a single measurment of discharge. The topographic and roughness information was then used to model a rating curve. To isolate the potential influence of the flat bed assumption, a 'hybrid model' rating curve was developed on the basis of data combined from the LiDAR scan and a detailed ground survey. Whereas this hybrid model rating curve was in agreement with the direct measurements of discharge, the LiDAR model rating curve was equally in agreement with the medium and high flow measurements based on confidence intervals calculated from the direct measurements. The discrepancy between the LiDAR model rating curve and the low flow measurements was likely due to reduced roughness associated with unresolved submerged bed topography. Scanning during periods of low flow can help minimize this deficiency. These results suggest that combined ground surveys and LiDAR scans or multifrequency LiDAR scans that see 'below' the water surface (bathymetric LiDAR) could be useful in generating data needed to run such a fluid mechanics-based model. This opens a realm of possibility to remotely sense and monitor stream flows in channels in remote locations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/hyp.9225","usgsCitation":"Nathanson, M., Kean, J.W., Grabs, T.J., Seibert, J., Laudon, H., and Lyon, S.W., 2012, Modelling rating curves using remotely sensed LiDAR data: Hydrological Processes, v. 26, no. 9, p. 1427-1434, https://doi.org/10.1002/hyp.9225.","productDescription":"8 p.","startPage":"1427","endPage":"1434","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":257151,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257150,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.9225","linkFileType":{"id":5,"text":"html"}}],"volume":"26","issue":"9","noUsgsAuthors":false,"publicationDate":"2012-03-27","publicationStatus":"PW","scienceBaseUri":"505a5c72e4b0c8380cd6fcd8","contributors":{"authors":[{"text":"Nathanson, Marcus","contributorId":85452,"corporation":false,"usgs":true,"family":"Nathanson","given":"Marcus","affiliations":[],"preferred":false,"id":351621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":351617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grabs, Thomas J.","contributorId":107971,"corporation":false,"usgs":true,"family":"Grabs","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":351622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seibert, Jan","contributorId":176322,"corporation":false,"usgs":false,"family":"Seibert","given":"Jan","email":"","affiliations":[],"preferred":false,"id":351620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laudon, Hjalmar","contributorId":46812,"corporation":false,"usgs":true,"family":"Laudon","given":"Hjalmar","affiliations":[],"preferred":false,"id":351619,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lyon, Steve W.","contributorId":44780,"corporation":false,"usgs":true,"family":"Lyon","given":"Steve","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":351618,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70004500,"text":"70004500 - 2012 - Improved mapping of National Atmospheric Deposition Program wet-deposition in complex terrain using PRISM-gridded data sets","interactions":[],"lastModifiedDate":"2012-06-05T01:01:49","indexId":"70004500","displayToPublicDate":"2012-06-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Improved mapping of National Atmospheric Deposition Program wet-deposition in complex terrain using PRISM-gridded data sets","docAbstract":"High-elevation regions in the United States lack detailed atmospheric wet-deposition data. The National Atmospheric Deposition Program/National Trends Network (NADP/NTN) measures and reports precipitation amounts and chemical constituent concentration and deposition data for the United States on annual isopleth maps using inverse distance weighted (IDW) interpolation methods. This interpolation for unsampled areas does not account for topographic influences. Therefore, NADP/NTN isopleth maps lack detail and potentially underestimate wet deposition in high-elevation regions. The NADP/NTN wet-deposition maps may be improved using precipitation grids generated by other networks. The Parameter-elevation Regressions on Independent Slopes Model (PRISM) produces digital grids of precipitation estimates from many precipitation-monitoring networks and incorporates influences of topographical and geographical features. Because NADP/NTN ion concentrations do not vary with elevation as much as precipitation depths, PRISM is used with unadjusted NADP/NTN data in this paper to calculate ion wet deposition in complex terrain to yield more accurate and detailed isopleth deposition maps in complex terrain. PRISM precipitation estimates generally exceed NADP/NTN precipitation estimates for coastal and mountainous regions in the western United States. NADP/NTN precipitation estimates generally exceed PRISM precipitation estimates for leeward mountainous regions in Washington, Oregon, and Nevada, where abrupt changes in precipitation depths induced by topography are not depicted by IDW interpolation. PRISM-based deposition estimates for nitrate can exceed NADP/NTN estimates by more than 100% for mountainous regions in the western United States.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10661-011-2009-7","usgsCitation":"Latysh, N.E., and Wetherbee, G.A., 2012, Improved mapping of National Atmospheric Deposition Program wet-deposition in complex terrain using PRISM-gridded data sets: Environmental Monitoring and Assessment, v. 184, no. 2, p. 913-928, https://doi.org/10.1007/s10661-011-2009-7.","productDescription":"16 p.","startPage":"913","endPage":"928","costCenters":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"links":[{"id":257177,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257170,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-011-2009-7","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"184","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-04-08","publicationStatus":"PW","scienceBaseUri":"505a3959e4b0c8380cd618ba","contributors":{"authors":[{"text":"Latysh, Natalie E.","contributorId":39860,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":350511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wetherbee, Gregory Alan","contributorId":36414,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"","middleInitial":"Alan","affiliations":[],"preferred":false,"id":350510,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038454,"text":"ofr20121088 - 2012 - Natural hazards science strategy","interactions":[],"lastModifiedDate":"2017-03-29T13:26:44","indexId":"ofr20121088","displayToPublicDate":"2012-06-04T00:00:00","publicationYear":"2012","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":"2012-1088","title":"Natural hazards science strategy","docAbstract":"<p>The mission of the U.S. Geological Survey (USGS) in natural hazards is to develop and apply hazard science to help protect the safety, security, and economic well-being of the Nation. The costs and consequences of natural hazards can be enormous, and each year more people and infrastructure are at risk. USGS scientific research—founded on detailed observations and improved understanding of the responsible physical processes—can help to understand and reduce natural hazard risks and to make and effectively communicate reliable statements about hazard characteristics, such as frequency, magnitude, extent, onset, consequences, and where possible, the time of future events.</p><p>To accomplish its broad hazard mission, the USGS maintains an expert workforce of scientists and technicians in the earth sciences, hydrology, biology, geography, social and behavioral sciences, and other fields, and engages cooperatively with numerous agencies, research institutions, and organizations in the public and private sectors, across the Nation and around the world. The scientific expertise required to accomplish the USGS mission in natural hazards includes a wide range of disciplines that this report refers to, in aggregate, as hazard science.</p><p>In October 2010, the Natural Hazards Science Strategy Planning Team (H–SSPT) was charged with developing a long-term (10-year) Science Strategy for the USGS mission in natural hazards. This report fulfills that charge, with a document hereinafter referred to as the Strategy, to provide scientific observations, analyses, and research that are critical for the Nation to become more resilient to natural hazards. Science provides the information that decisionmakers need to determine whether risk management activities are worthwhile. Moreover, as the agency with the perspective of geologic time, the USGS is uniquely positioned to extend the collective experience of society to prepare for events outside current memory. The USGS has critical statutory and nonstatutory roles regarding floods, earthquakes, tsunamis, landslides, coastal erosion, volcanic eruptions, wildfires, and magnetic storms—the hazards considered in this plan. There are numerous other hazards of societal importance that are considered either only peripherally or not at all in this Strategy because they are either in another of the USGS strategic science plans (such as drought) or not in the overall mission of the USGS (such as tornados).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121088","usgsCitation":"Holmes, R.R., Jones, L.M., Eidenshink, J.C., Godt, J.W., Kirby, S.H., Love, J.J., Neal, C., Plant, N.G., Plunkett, M.L., Weaver, C.S., Wein, A., and Perry, S.C., 2012, Natural hazards science strategy: U.S. Geological Survey Open-File Report 2012-1088, viii, 75 p., https://doi.org/10.3133/ofr20121088.","productDescription":"viii, 75 p.","numberOfPages":"84","onlineOnly":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":257134,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1088.gif"},{"id":257130,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1088/","linkFileType":{"id":5,"text":"html"}},{"id":338630,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1088/of2012-1088.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6317e4b0c8380cd722c4","contributors":{"authors":[{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":464202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Lucile M. jones@usgs.gov","contributorId":1014,"corporation":false,"usgs":true,"family":"Jones","given":"Lucile","email":"jones@usgs.gov","middleInitial":"M.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":464199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eidenshink, Jeffery C. eidenshink@usgs.gov","contributorId":1352,"corporation":false,"usgs":true,"family":"Eidenshink","given":"Jeffery","email":"eidenshink@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":464201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":464200,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirby, Stephen H. 0000-0003-1636-4688 skirby@usgs.gov","orcid":"https://orcid.org/0000-0003-1636-4688","contributorId":2752,"corporation":false,"usgs":true,"family":"Kirby","given":"Stephen","email":"skirby@usgs.gov","middleInitial":"H.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":464205,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":464198,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Neal, Christina A. 0000-0002-7697-7825","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":82660,"corporation":false,"usgs":true,"family":"Neal","given":"Christina A.","affiliations":[],"preferred":false,"id":464208,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":464206,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Plunkett, Michael L. plunkett@usgs.gov","contributorId":2378,"corporation":false,"usgs":true,"family":"Plunkett","given":"Michael","email":"plunkett@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":464203,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Weaver, Craig S. craig@usgs.gov","contributorId":2690,"corporation":false,"usgs":true,"family":"Weaver","given":"Craig","email":"craig@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":464204,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wein, Anne 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":589,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":464197,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Perry, Suzanne C. 0000-0002-6370-4326 scperry@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-4326","contributorId":5227,"corporation":false,"usgs":true,"family":"Perry","given":"Suzanne","email":"scperry@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":464207,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70037939,"text":"70037939 - 2012 - Optimizing bankfull discharge and hydraulic geometry relations for streams in New York state","interactions":[],"lastModifiedDate":"2012-06-05T01:01:48","indexId":"70037939","displayToPublicDate":"2012-06-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing bankfull discharge and hydraulic geometry relations for streams in New York state","docAbstract":"This study analyzes how various data stratification schemes can be used to optimize the accuracy and utility of regional hydraulic geometry (HG) models of bankfull discharge, width, depth, and cross-sectional area for streams in New York. Topographic surveys and discharge records from 281 cross sections at 82 gaging stations with drainage areas of 0.52-396 square miles were used to create log-log regressions of region-based relations between bankfull HG metrics and drainage area. The success with which regional models distinguished unique bankfull discharge and HG patterns was assessed by comparing each regional model to those for all other regions and a pooled statewide model. Gages were also stratified (grouped) by mean annual runoff (MAR), Rosgen stream type, and water-surface slope to test if these models were better predictors of HG to drainage area relations. Bankfull discharge models for Regions 4 and 7 were outside the 95% confidence interval bands of the statewide model, and bankfull width, depth, and cross-sectional area models for Region 3 differed significantly (<i>p</i> < 0.05) from those of other regions. This study found that statewide relations between drainage area and HG were strongest when data were stratified by hydrologic region, but that co-variable models could yield more accurate HG estimates in some local regional curve applications.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Water Resources Association","publisherLocation":"Middleburg, VA","doi":"10.1111/j.1752-1688.2011.00623.x","usgsCitation":"Mulvihill, C., and Baldigo, B.P., 2012, Optimizing bankfull discharge and hydraulic geometry relations for streams in New York state: Journal of the American Water Resources Association, v. 48, no. 3, p. 449-463, https://doi.org/10.1111/j.1752-1688.2011.00623.x.","productDescription":"15 p.","startPage":"449","endPage":"463","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":474485,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00623.x","text":"Publisher Index Page"},{"id":257153,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257140,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00623.x"}],"country":"United States","state":"New York","volume":"48","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-01-17","publicationStatus":"PW","scienceBaseUri":"505a6effe4b0c8380cd758e3","contributors":{"authors":[{"text":"Mulvihill, Christiane I.","contributorId":31821,"corporation":false,"usgs":true,"family":"Mulvihill","given":"Christiane I.","affiliations":[],"preferred":false,"id":463120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":463119,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038456,"text":"ofr20121093 - 2012 - Science strategy for Core Science Systems in the U.S. Geological Survey, 2013-2023","interactions":[],"lastModifiedDate":"2018-08-10T16:54:09","indexId":"ofr20121093","displayToPublicDate":"2012-06-04T00:00:00","publicationYear":"2012","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":"2012-1093","title":"Science strategy for Core Science Systems in the U.S. Geological Survey, 2013-2023","docAbstract":"<p>Core Science Systems is a new mission of the U.S. Geological Survey (USGS) that grew out of the 2007 Science Strategy, “Facing Tomorrow’s Challenges: U.S. Geological Survey Science in the Decade 2007–2017.” This report describes the vision for this USGS mission and outlines a strategy for Core Science Systems to facilitate integrated characterization and understanding of the complex earth system. The vision and suggested actions are bold and far-reaching, describing a conceptual model and framework to enhance the ability of USGS to bring its core strengths to bear on pressing societal problems through data integration and scientific synthesis across the breadth of science.</p><p>The context of this report is inspired by a direction set forth in the 2007 Science Strategy. Specifically, ecosystem-based approaches provide the underpinnings for essentially all science themes that define the USGS. Every point on earth falls within a specific ecosystem where data, other information assets, and the expertise of USGS and its many partners can be employed to quantitatively understand how that ecosystem functions and how it responds to natural and anthropogenic disturbances. Every benefit society obtains from the planet—food, water, raw materials to build infrastructure, homes and automobiles, fuel to heat homes and cities, and many others, are derived from or effect ecosystems.</p><p>The vision for Core Science Systems builds on core strengths of the USGS in characterizing and understanding complex earth and biological systems through research, modeling, mapping, and the production of high quality data on the nation’s natural resource infrastructure. Together, these research activities provide a foundation for ecosystem-based approaches through geologic mapping, topographic mapping, and biodiversity mapping. The vision describes a framework founded on these core mapping strengths that makes it easier for USGS scientists to discover critical information, share and publish results, and identify potential collaborations that transcend all USGS missions. The framework is designed to improve the efficiency of scientific work within USGS by establishing a means to preserve and recall data for future applications, organizing existing scientific knowledge and data to facilitate new use of older information, and establishing a future workflow that naturally integrates new data, applications, and other science products to make it easier and more efficient to conduct interdisciplinary research over time. Given the increasing need for integrated data and interdisciplinary approaches to solve modern problems, leadership by the Core Science Systems mission will facilitate problem solving by all USGS missions in ways not formerly possible.</p><p>The report lays out a strategy to achieve this vision through three goals with accompanying objectives and actions. The first goal builds on and enhances the strengths of the Core Science Systems mission in characterizing and understanding the earth system from the geologic framework to the topographic characteristics of the land surface and biodiversity across the nation. The second goal enhances and develops new strengths in computer and information science to make it easier for USGS scientists to discover data and models, share and publish results, and discover connections between scientific information and knowledge. The third goal brings additional focus to research and development methods to address complex issues affecting society that require integration of knowledge and new methods for synthesizing scientific information. Collectively, the report lays out a strategy to create a seamless connection between all USGS activities to accelerate and make USGS science more efficient by fully integrating disciplinary expertise within a new and evolving science paradigm for a changing world in the 21st century.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121093","usgsCitation":"Bristol, R., Euliss, N.H., Booth, N., Burkardt, N., Diffendorfer, J.E., Gesch, D.B., McCallum, B.E., Miller, D., Morman, S.A., Poore, B.S., Signell, R.P., and Viger, R., 2012, Science strategy for Core Science Systems in the U.S. Geological Survey, 2013-2023: U.S. Geological Survey Open-File Report 2012-1093, vi, 29 p., https://doi.org/10.3133/ofr20121093.","productDescription":"vi, 29 p.","onlineOnly":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":257158,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1093.gif"},{"id":338619,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1093/of2012-1093.pdf"},{"id":257139,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1093/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8774e4b08c986b3164be","contributors":{"authors":[{"text":"Bristol, R. Sky 0000-0003-1682-4031","orcid":"https://orcid.org/0000-0003-1682-4031","contributorId":88196,"corporation":false,"usgs":true,"family":"Bristol","given":"R. Sky","affiliations":[],"preferred":false,"id":464231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Euliss, Ned H. 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,{"id":70038453,"text":"ofr20121072 - 2012 - U.S. Geological Survey energy and minerals science strategy","interactions":[],"lastModifiedDate":"2012-06-05T01:01:48","indexId":"ofr20121072","displayToPublicDate":"2012-06-04T00:00:00","publicationYear":"2012","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":"2012-1072","title":"U.S. Geological Survey energy and minerals science strategy","docAbstract":"The economy, national security, and standard of living of the United States depend heavily on adequate and reliable supplies of energy and mineral resources. Based on current population and consumption trends, the Nation's use of energy and minerals can be expected to grow, driving the demand for ever broader scientific understanding of resource formation, location, and availability. In addition, the increasing importance of environmental stewardship, human health, and sustainable growth place further emphasis on energy and mineral resources research and understanding. Collectively, these trends in resource demand and the interconnectedness among resources will lead to new challenges and, in turn, require cutting-edge science for the next generation of societal decisions. The contributions of the U.S. Geological Survey to energy and minerals research are well established. Based on five interrelated goals, this plan establishes a comprehensive science strategy. It provides a structure that identifies the most critical aspects of energy and mineral resources for the coming decade. * Goal 1. - Understand fundamental Earth processes that form energy and mineral resources. * Goal 2. - Understand the environmental behavior of energy and mineral resources and their waste products. * Goal 3. - Provide inventories and assessments of energy and mineral resources. * Goal 4. - Understand the effects of energy and mineral development on natural resources. * Goal 5. - Understand the availability and reliability of energy and mineral resource supplies. Within each goal, multiple, scalable actions are identified. The level of specificity and complexity of these actions varies, consistent with the reality that even a modest refocus can yield large payoffs in the near term whereas more ambitious plans may take years to reach fruition. As such, prioritization of actions is largely dependent on policy direction, available resources, and the sequencing of prerequisite steps that will lead up to the most visionary directions. The science strategy stresses early planning and places an emphasis on interdisciplinary collaboration and leveraging of expertise across the U.S. Geological Survey.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121072","collaboration":"Public Review Release - Feedback on this report will be accepted through August 1, 2012.  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Resource managers and policy-makers are faced with countless decisions each year at local, state, tribal, territorial, and national levels on issues as diverse as renewable and non-renewable energy development, agriculture, forestry, water supply, and resource allocations at the urban-rural interface. The urgency for sound decision-making is increasing dramatically as the world is being transformed at an unprecedented pace and in uncertain directions. Environmental changes are associated with natural hazards, greenhouse gas emissions, and increasing demands for water, land, food, energy, mineral, and living resources. At risk is the Nation’s environmental capital, the goods and services provided by resilient ecosystems that are vital to the health and well-being of human societies. Ecosystem science—the study of systems of organisms interacting with their environment and the consequences of natural and human-induced change on these systems—is necessary to inform decision-makers as they develop policies to adapt to these changes.</p><p>This Ecosystems Science Strategy is built on a framework that includes basic and applied science. It highlights the critical roles that USGS scientists and partners can play in building scientific understanding and providing timely information to decision-makers. The strategy underscores the connection between scientific discoveries and the application of new knowledge. The strategy integrates ecosystem science and decision-making, producing new scientific outcomes to assist resource managers and providing public benefits.</p><p>The USGS is uniquely positioned to play an important role in ecosystem science. With its wide range of expertise, the agency can bring holistic, cross-scale, interdisciplinary capabilities to the design and conduct of monitoring, research, and modeling and to new technologies for data collection, management, and visualization. Collectively, these capabilities can be used to reveal ecological patterns and processes, explain how and why ecosystems change, and forecast change over different spatial and temporal scales. USGS science can provide managers with options and decision-support tools to use resources sustainably. The USGS has long-standing, collaborative relationships with the DOI and other partners in the natural sciences, in both conducting science and its application. The USGS engages these partners in cooperative investigations that otherwise would lack the necessary support or be too expensive for a single bureau to conduct.</p><p>The heart of this strategy is a framework and vision for USGS ecosystems science that focuses on five long-term goals, which are seen as interconnected and reinforcing components:<br>•<span>&nbsp;</span><strong>Improve understanding of ecosystem structure, function, and processes.</strong><span>&nbsp;</span>The focus for this goal is an understanding of how ecosystems work, including the dynamics of species, their populations, interactions, and genetics, and how they change across spatial and temporal scales.<span>&nbsp;</span><br>•<span>&nbsp;</span><strong>Advance understanding of how drivers influence ecosystem change.</strong><span>&nbsp;</span>The challenges here are explaining the drivers of ecosystem change, their spatio-temporal patterns, their uncertainties and interactions, and their influence on ecosystem processes and dynamics.<span>&nbsp;</span><br>•<strong><span>&nbsp;</span>Improve understanding of the services that ecosystems provide to society.</strong><span>&nbsp;</span>Here the emphasis is on the measurement of environmental capital and ecosystem services, and the identification of sources and patterns of change in space and time.<span>&nbsp;</span><br>•<span>&nbsp;</span><strong>Develop tools, technologies, and capacities to inform decision-making about ecosystems.</strong><span>&nbsp;</span>This includes developing new technologies and approaches for conducting applications-oriented ecosystem science. A principal challenge will be how to quantify uncertainty and incorporate it in decision analysis.<span>&nbsp;</span><br>•<strong><span>&nbsp;</span>Apply science to enhance strategies for management, conservation, and restoration of ecosystems.</strong><span>&nbsp;</span>These challenges include development of novel approaches to monitoring, assessment, and restoration of ecosystems; new methods to address species of concern and communities at risk; and innovations in decision analysis and support to address imminent ecosystem changes or those that are underway.</p><p>Closely integrated with the five goals are four strategic approaches that provide the path forward for the USGS Ecosystems Mission Area. These approaches cross-cut all of the goals and are seen as essential to the implementation of this strategy:<br><br>•<strong><span>&nbsp;</span>Assess information needs for ecosystem science through enhanced partnerships.</strong><span>&nbsp;</span>Work with the DOI and other agencies and institutions to identify, design, and implement priority decision-driven ecological research.<br>•<span>&nbsp;</span><strong>Promote the use of interdisciplinary ecosystem science.</strong><span>&nbsp;</span>Design and conduct interdisciplinary process-oriented research in ecosystem science.<span>&nbsp;</span><br>•<span>&nbsp;</span><strong>Enhance modeling and forecasting.</strong><span>&nbsp;</span>Build models to forecast ecosystem change, assess future management scenarios, and reduce uncertainties through an adaptive learning process.<span>&nbsp;</span><br>•<span>&nbsp;</span><strong>Support decision-making.</strong><span>&nbsp;</span>Use quantitative approaches to assess the vulnerabilities of ecosystems, habitats, and species, and evaluate strategies for adaptation, restoration, and sustainable management.</p><p>Following the strategic approaches are a set of proposed actions that represent a sampling of specific activities that align with this strategy and that address the Nation’s most pressing environmental needs.</p><p>The strategy emphasizes coordination of activities across the USGS mission areas pursuant to these goals. Ecosystem science is inherently interdisciplinary and requires a broad perspective that incorporates the biological and physical sciences, climate science, information technology, and scientific capacity in mission areas across the Bureau. With its emphasis on coordination, this strategy can provide a critical underpinning for integrated science efforts with scientists from multiple mission areas of the USGS working together. Of course, the USGS will continue to conduct both discipline-specific and interdisciplinary investigations, and both will continue to be vital parts of the ecosystem science portfolio.</p><p>Finally, the strategy stresses the importance of coordination with other Federal agencies and organizations in the natural resources community. The USGS collaborates with resource agencies in the DOI and other organizations throughout the world to meet societal needs for species and ecosystem management. Working with these agencies and organizations, the USGS will play a key role over the next decade in advancing the scientific foundation for sustaining the natural resources that diverse, productive, resilient ecosystems provide.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121092","collaboration":"Public Review Release - Feedback on this report will be accepted through August 1, 2012.  Please see index page for feedback instructions.","usgsCitation":"Williams, B.K., Wingard, G.L., Brewer, G., Cloern, J.E., Gelfenbaum, G.R., Jacobson, R.B., Kershner, J.L., McGuire, A.D., Nichols, J., Shapiro, C.D., van Riper, C., and White, R.P., 2012, The U.S. Geological Survey Ecosystem Science Strategy, 2012-2022 - Advancing discovery and application through collaboration: U.S. Geological Survey Open-File Report 2012-1092, viii, 25 p.; Appendices, https://doi.org/10.3133/ofr20121092.","productDescription":"viii, 25 p.; Appendices","onlineOnly":"Y","costCenters":[],"links":[{"id":257157,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1092.gif"},{"id":257138,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1092/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba92ce4b08c986b3220c0","contributors":{"authors":[{"text":"Williams, Byron K. 0000-0001-7644-1396","orcid":"https://orcid.org/0000-0001-7644-1396","contributorId":86616,"corporation":false,"usgs":true,"family":"Williams","given":"Byron","email":"","middleInitial":"K.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":464220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wingard, G. Lynn 0000-0002-3833-5207 lwingard@usgs.gov","orcid":"https://orcid.org/0000-0002-3833-5207","contributorId":605,"corporation":false,"usgs":true,"family":"Wingard","given":"G.","email":"lwingard@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":464217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Gary","contributorId":37589,"corporation":false,"usgs":true,"family":"Brewer","given":"Gary","email":"","affiliations":[],"preferred":false,"id":464216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","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}],"preferred":true,"id":464215,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":464219,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":464212,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kershner, Jeffrey L. 0000-0002-7093-9860 jkershner@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9860","contributorId":310,"corporation":false,"usgs":true,"family":"Kershner","given":"Jeffrey","email":"jkershner@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":464210,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGuire, Anthony D. 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":2493,"corporation":false,"usgs":true,"family":"McGuire","given":"Anthony","email":"ffadm@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":464213,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"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":464211,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shapiro, Carl D. 0000-0002-1598-6808 cshapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-1598-6808","contributorId":3048,"corporation":false,"usgs":true,"family":"Shapiro","given":"Carl","email":"cshapiro@usgs.gov","middleInitial":"D.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":464214,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":464218,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"White, Robin P. rpwhite@usgs.gov","contributorId":239,"corporation":false,"usgs":true,"family":"White","given":"Robin","email":"rpwhite@usgs.gov","middleInitial":"P.","affiliations":[{"id":5053,"text":"IPDS Training","active":true,"usgs":true}],"preferred":true,"id":464209,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70038458,"text":"ofr20121094 - 2012 - Regional economic impacts of current and proposed management alternatives for Don Edwards National Wildlife Refuge","interactions":[],"lastModifiedDate":"2017-10-30T12:27:56","indexId":"ofr20121094","displayToPublicDate":"2012-06-04T00:00:00","publicationYear":"2012","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":"2012-1094","title":"Regional economic impacts of current and proposed management alternatives for Don Edwards National Wildlife Refuge","docAbstract":"The National Wildlife Refuge System Improvement Act of 1997 requires all units of the National Wildlife Refuge System to be managed under a Comprehensive Conservation Plan. The Comprehensive Conservation Plan must describe the desired future conditions of a Refuge and provide long-range guidance and management direction to achieve refuge purposes. The Don Edwards San Francisco Bay National Wildlife Refuge, located at the south end of California's San Francisco Bay and one of seven refuges in the San Francisco Bay National Wildlife Refuge Complex, is in the process of developing a range of management goals, objectives, and strategies for the Comprehensive Conservation Plan. The Comprehensive Conservation Plan must contain an analysis of expected effects associated with current and proposed Refuge management strategies. For Refuge Comprehensive Conservation Plan planning, a regional economic analysis provides a means of estimating how current management (No Action Alternative) and proposed management activities (alternatives) affect the local economy. This type of analysis provides two critical pieces of information: (1) it illustrates the Don Edwards San Francisco Bay National Wildlife Refuge's contribution to the local community, and (2) it can help in determining whether economic effects are or are not a real concern in choosing among management alternatives. This report first presents a description of the local community and economy near the Don Edwards San Francisco Bay National Wildlife Refuge. Next, the methods used to conduct a regional economic impact analysis are described. An analysis of the final Comprehensive Conservation Plan management strategies that could affect stakeholders, residents, and the local economy is then presented. The management activities of economic concern in this analysis are: * Spending in the local community by Refuge visitors; * Refuge personnel salary spending; and * Refuge purchases of goods and services within the local community.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121094","usgsCitation":"Richardson, L., Huber, C., and Koontz, L., 2012, Regional economic impacts of current and proposed management alternatives for Don Edwards National Wildlife Refuge: U.S. Geological Survey Open-File Report 2012-1094, iv, 19 p., https://doi.org/10.3133/ofr20121094.","productDescription":"iv, 19 p.","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":257174,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1094.gif"},{"id":257171,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1094/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","county":"Alameda;San Mateo;Santa Clara","otherGeospatial":"San Francisco Bay National Wildlife Refuge;Don Edwards National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42 ], [ -114.13333333333334,42 ], [ -114.13333333333334,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a4c4e4b0e8fec6cdbc55","contributors":{"authors":[{"text":"Richardson, Leslie","contributorId":35584,"corporation":false,"usgs":true,"family":"Richardson","given":"Leslie","affiliations":[],"preferred":false,"id":464247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huber, Chris","contributorId":26925,"corporation":false,"usgs":true,"family":"Huber","given":"Chris","email":"","affiliations":[],"preferred":false,"id":464246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koontz, Lynne koontzl@usgs.gov","contributorId":2174,"corporation":false,"usgs":false,"family":"Koontz","given":"Lynne","email":"koontzl@usgs.gov","affiliations":[{"id":7016,"text":"Environmental Quality Division, National Park Service, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":464245,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70006184,"text":"70006184 - 2012 - Rapid microsatellite identification from Illumina paired-end genomic sequencing in two birds and a snake","interactions":[],"lastModifiedDate":"2012-06-05T01:01:48","indexId":"70006184","displayToPublicDate":"2012-06-04T00:00:00","publicationYear":"2012","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":"Rapid microsatellite identification from Illumina paired-end genomic sequencing in two birds and a snake","docAbstract":"Identification of microsatellites, or simple sequence repeats (SSRs), can be a time-consuming and costly investment requiring enrichment, cloning, and sequencing of candidate loci. Recently, however, high throughput sequencing (with or without prior enrichment for specific SSR loci) has been utilized to identify SSR loci. The direct \"Seq-to-SSR\" approach has an advantage over enrichment-based strategies in that it does not require a priori selection of particular motifs, or prior knowledge of genomic SSR content. It has been more expensive per SSR locus recovered, however, particularly for genomes with few SSR loci, such as bird genomes. The longer but relatively more expensive 454 reads have been preferred over less expensive Illumina reads. Here, we use Illumina paired-end sequence data to identify potentially amplifiable SSR loci (PALs) from a snake (the Burmese python, <i>Python molurus bivittatus</i>), and directly compare these results to those from 454 data. We also compare the python results to results from Illumina sequencing of two bird genomes (Gunnison Sage-grouse, <i>Centrocercus minimus</i>, and Clark's Nutcracker, <i>Nucifraga columbiana</i>), which have considerably fewer SSRs than the python. We show that direct Illumina Seq-to-SSR can identify and characterize thousands of potentially amplifiable SSR loci for as little as $10 per sample &ndash; a fraction of the cost of 454 sequencing. Given that Illumina Seq-to-SSR is effective, inexpensive, and reliable even for species such as birds that have few SSR loci, it seems that there are now few situations for which prior hybridization is justifiable.","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.0030953","usgsCitation":"Castoe, T.A., Poole, A.W., de Koning, A.P., Jones, K., Tomback, D.F., Oyler-McCance, S.J., Fike, J., Lance, S., Streicher, J.W., Smith, E., and Pollock, D., 2012, Rapid microsatellite identification from Illumina paired-end genomic sequencing in two birds and a snake: PLoS ONE, v. 7, no. 2, 10 p.; e30953, https://doi.org/10.1371/journal.pone.0030953.","productDescription":"10 p.; e30953","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":474486,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0030953","text":"Publisher Index Page"},{"id":257162,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257145,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0030953","linkFileType":{"id":5,"text":"html"}}],"volume":"7","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-02-14","publicationStatus":"PW","scienceBaseUri":"505a94f2e4b0c8380cd816fa","contributors":{"authors":[{"text":"Castoe, Todd A.","contributorId":23819,"corporation":false,"usgs":true,"family":"Castoe","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":354029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poole, Alexander W.","contributorId":72267,"corporation":false,"usgs":true,"family":"Poole","given":"Alexander","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":354034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Koning, A. P. Jason","contributorId":104353,"corporation":false,"usgs":true,"family":"de Koning","given":"A.","email":"","middleInitial":"P. Jason","affiliations":[],"preferred":false,"id":354037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Kenneth L.","contributorId":72112,"corporation":false,"usgs":true,"family":"Jones","given":"Kenneth L.","affiliations":[],"preferred":false,"id":354033,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tomback, Diana F.","contributorId":69427,"corporation":false,"usgs":true,"family":"Tomback","given":"Diana","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":354032,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":354027,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fike, Jennifer A.","contributorId":54468,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[],"preferred":false,"id":354030,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lance, Stacey L.","contributorId":65976,"corporation":false,"usgs":true,"family":"Lance","given":"Stacey L.","affiliations":[],"preferred":false,"id":354031,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Streicher, Jeffrey W.","contributorId":18236,"corporation":false,"usgs":true,"family":"Streicher","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":354028,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, Eric N.","contributorId":90989,"corporation":false,"usgs":true,"family":"Smith","given":"Eric N.","affiliations":[],"preferred":false,"id":354035,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pollock, David D.","contributorId":93351,"corporation":false,"usgs":true,"family":"Pollock","given":"David D.","affiliations":[],"preferred":false,"id":354036,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70007064,"text":"70007064 - 2012 - Avian mortality associated with a volcanic gas seep at Kiska Island, Aleutian Islands, Alaska","interactions":[],"lastModifiedDate":"2019-05-30T10:09:33","indexId":"70007064","displayToPublicDate":"2012-06-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Avian mortality associated with a volcanic gas seep at Kiska Island, Aleutian Islands, Alaska","docAbstract":"We identified natural pits associated with avian mortality at the base of Kiska Volcano in the western Aleutian Islands, Alaska in 2007. Living, moribund, and dead birds were regularly found at low spots in a canyon between two lava flows during 2001&ndash;2006, but the phenomenon was attributed to natural trapping and starvation of fledgling seabirds (mostly Least Auklets, <i>Aethia pusilla</i>) at a colony site with >1 million birds present. However, 302 birds of eight species, including passerines, were found dead at the site during 2007&ndash;2010, suggesting additional factors were involved. Most carcasses showed no signs of injury and concentrations of dead birds had accumulated in a few distinctive low pits in the canyon. Gas samples from these locations showed elevated CO<sub>2</sub> concentrations in late 2010. Analysis of carcasses indicated no evidence of blunt trauma or internal bleeding. Volcanic gases accumulating at these poorly ventilated sites may have caused the observed mortality, but are temporally variable. Most auklets breeding in the Aleutian Islands do so in recent lava flows that provide breeding habitat; our study documents a cost of this unusual habitat selection.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wilson Journal of Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wilson Ornithological Society","publisherLocation":"Waco, TX","doi":"10.1676/11-062.1","usgsCitation":"Bond, A., Evans, W.C., and Jones, I.L., 2012, Avian mortality associated with a volcanic gas seep at Kiska Island, Aleutian Islands, Alaska: Wilson Journal of Ornithology, v. 124, no. 1, p. 146-151, https://doi.org/10.1676/11-062.1.","productDescription":"6 p.","startPage":"146","endPage":"151","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":257164,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257173,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1676/11-062.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Aleutian Islands;Kiska Island","volume":"124","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ef6ae4b0c8380cd4a22e","contributors":{"authors":[{"text":"Bond, Alexander L.","contributorId":69004,"corporation":false,"usgs":true,"family":"Bond","given":"Alexander L.","affiliations":[],"preferred":false,"id":355770,"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":617,"text":"Volcano 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":355768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Ian L.","contributorId":61687,"corporation":false,"usgs":true,"family":"Jones","given":"Ian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":355769,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038479,"text":"70038479 - 2012 - Modelling effects of chemical exposure on birds wintering in agricultural landscapes: The western burrowing owl (<i>Athene cunicularia hypugaea</i>) as a case study","interactions":[],"lastModifiedDate":"2017-05-23T16:29:09","indexId":"70038479","displayToPublicDate":"2012-06-02T13:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modelling effects of chemical exposure on birds wintering in agricultural landscapes: The western burrowing owl (<i>Athene cunicularia hypugaea</i>) as a case study","docAbstract":"We describe an ecotoxicological model that simulates the sublethal and lethal effects of chronic, low-level, chemical exposure on birds wintering in agricultural landscapes. Previous models estimating the impact on wildlife of chemicals used in agro-ecosystems typically have not included the variety of pathways, including both dermal and oral, by which individuals are exposed. The present model contains four submodels simulating (1) foraging behavior of individual birds, (2) chemical applications to crops, (3) transfers of chemicals among soil, insects, and small mammals, and (4) transfers of chemicals to birds via ingestion and dermal exposure. We demonstrate use of the model by simulating the impacts of a variety of commonly used herbicides, insecticides, growth regulators, and defoliants on western burrowing owls (<i>Athene cunicularia hypugaea</i>) that winter in agricultural landscapes in southern Texas, United States. The model generated reasonable movement patterns for each chemical through soil, water, insects, and rodents, as well as into the owl via consumption and dermal absorption. Sensitivity analysis suggested model predictions were sensitive to uncertainty associated with estimates of chemical half-lives in birds, soil, and prey, sensitive to parameters associated with estimating dermal exposure, and relatively insensitive to uncertainty associated with details of chemical application procedures (timing of application, amount of drift). Nonetheless, the general trends in chemical accumulations and the relative impacts of the various chemicals were robust to these parameter changes. Simulation results suggested that insecticides posed a greater potential risk to owls of both sublethal and lethal effects than do herbicides, defoliants, and growth regulators under crop scenarios typical of southern Texas, and that use of multiple indicators, or endpoints provided a more accurate assessment of risk due to agricultural chemical exposure. The model should prove useful in helping prioritize the chemicals and transfer pathways targeted in future studies and also, as these new data become available, in assessing the relative danger to other birds of exposure to different types of agricultural chemicals.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecolmodel.2011.10.017","usgsCitation":"Engelman, C.A., Grant, W.E., Mora, M.A., and Woodin, M., 2012, Modelling effects of chemical exposure on birds wintering in agricultural landscapes: The western burrowing owl (<i>Athene cunicularia hypugaea</i>) as a case study: Ecological Modelling, v. 224, no. 1, p. 90-102, https://doi.org/10.1016/j.ecolmodel.2011.10.017.","productDescription":"13 p.","startPage":"90","endPage":"102","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":257306,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","volume":"224","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c66e4b0c8380cd6fc7e","contributors":{"authors":[{"text":"Engelman, Catherine A.","contributorId":33566,"corporation":false,"usgs":true,"family":"Engelman","given":"Catherine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":464340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, William E.","contributorId":88590,"corporation":false,"usgs":true,"family":"Grant","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":464343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mora, Miguel A. 0000-0002-8393-0216","orcid":"https://orcid.org/0000-0002-8393-0216","contributorId":46643,"corporation":false,"usgs":true,"family":"Mora","given":"Miguel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":464341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodin, Marc","contributorId":84201,"corporation":false,"usgs":true,"family":"Woodin","given":"Marc","affiliations":[],"preferred":false,"id":464342,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70118265,"text":"70118265 - 2012 - Persistence of soil organic matter in eroding versus depositional landform positions","interactions":[],"lastModifiedDate":"2014-07-28T10:36:04","indexId":"70118265","displayToPublicDate":"2012-06-02T10:33:37","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Persistence of soil organic matter in eroding versus depositional landform positions","docAbstract":"Soil organic matter (SOM) processes in dynamic landscapes are strongly influenced by soil erosion and sedimentation. We determined the contribution of physical isolation of organic matter (OM) inside aggregates, chemical interaction of OM with soil minerals, and molecular structure of SOM in controlling storage and persistence of SOM in different types of eroding and depositional landform positions. By combining density fractionation with elemental and spectroscopic analyses, we showed that SOM in depositional settings is less transformed and better preserved than SOM in eroding landform positions. However, which environmental factors exert primary control on storage and persistence of SOM depended on the nature of the landform position considered. In an annual grassland watershed, protection of SOM by physical isolation inside aggregates and chemical association of organic matter (complexation) with soil minerals, as assessed by correlation with radiocarbon concentration, were more effective in the poorly drained, lowest-lying depositional landform positions, compared to well-drained landform positions in the upper parts of the watershed. Results of this study demonstrated that processes of soil erosion and deposition are important mechanisms of long-term OM stabilization.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Hoboken, NJ","doi":"10.1029/2011JG001790","usgsCitation":"Berhe, A., Harden, J.W., Torn, M.S., Kleber, M., Burton, S., and Harte, J., 2012, Persistence of soil organic matter in eroding versus depositional landform positions: Journal of Geophysical Research: Biogeosciences, v. 117, no. G2, 16 p., https://doi.org/10.1029/2011JG001790.","productDescription":"16 p.","numberOfPages":"16","costCenters":[],"links":[{"id":474487,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1172964","text":"External Repository"},{"id":291119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291118,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011JG001790"}],"volume":"117","issue":"G2","noUsgsAuthors":false,"publicationDate":"2012-06-02","publicationStatus":"PW","scienceBaseUri":"57f7f4ede4b0bc0bec0a12c6","contributors":{"authors":[{"text":"Berhe, Asmeret Asefaw","contributorId":78258,"corporation":false,"usgs":true,"family":"Berhe","given":"Asmeret Asefaw","affiliations":[],"preferred":false,"id":496647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":496644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torn, Margaret S.","contributorId":28179,"corporation":false,"usgs":false,"family":"Torn","given":"Margaret","email":"","middleInitial":"S.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false},{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":496646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kleber, Markus","contributorId":92182,"corporation":false,"usgs":true,"family":"Kleber","given":"Markus","email":"","affiliations":[],"preferred":false,"id":496649,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burton, Sarah D.","contributorId":88658,"corporation":false,"usgs":true,"family":"Burton","given":"Sarah D.","affiliations":[],"preferred":false,"id":496648,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harte, John","contributorId":19095,"corporation":false,"usgs":true,"family":"Harte","given":"John","email":"","affiliations":[],"preferred":false,"id":496645,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038450,"text":"sir20125026 - 2012 - Dam-breach analysis and flood-inundation mapping for Lakes Ellsworth and Lawtonka near Lawton, Oklahoma","interactions":[],"lastModifiedDate":"2020-05-20T12:07:36.292534","indexId":"sir20125026","displayToPublicDate":"2012-06-02T00:00:00","publicationYear":"2012","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":"2012-5026","title":"Dam-breach analysis and flood-inundation mapping for Lakes Ellsworth and Lawtonka near Lawton, Oklahoma","docAbstract":"Dams provide beneficial functions such as flood control, recreation, and reliable water supplies, but they also entail risk: dam breaches and resultant floods can cause substantial property damage and loss of life. The State of Oklahoma requires each owner of a high-hazard dam, which the Federal Emergency Management Agency defines as dams for which failure or misoperation probably will cause loss of human life, to develop an emergency action plan specific to that dam. Components of an emergency action plan are to simulate a flood resulting from a possible dam breach and map the resulting downstream flood-inundation areas. The resulting flood-inundation maps can provide valuable information to city officials, emergency managers, and local residents for planning the emergency response if a dam breach occurs. Accurate topographic data are vital for developing flood-inundation maps. This report presents results of a cooperative study by the city of Lawton, Oklahoma, and the U.S. Geological Survey (USGS) to model dam-breach scenarios at Lakes Ellsworth and Lawtonka near Lawton and to map the potential flood-inundation areas of such dam breaches. To assist the city of Lawton with completion of the emergency action plans for Lakes Ellsworth and Lawtonka Dams, the USGS collected light detection and ranging (lidar) data that were used to develop a high-resolution digital elevation model and a 1-foot contour elevation map for the flood plains downstream from Lakes Ellsworth and Lawtonka. This digital elevation model and field measurements, streamflow-gaging station data (USGS streamflow-gaging station 07311000, East Cache Creek near Walters, Okla.), and hydraulic values were used as inputs for the dynamic (unsteady-flow) model, Hydrologic Engineering Center's River Analysis System (HEC-RAS). The modeled flood elevations were exported to a geographic information system to produce flood-inundation maps. Water-surface profiles were developed for a 75-percent probable maximum flood scenario and a sunny-day dam-breach scenario, as well as for maximum flood-inundation elevations and flood-wave arrival times for selected bridge crossings. Some areas of concern near the city of Lawton, if a dam breach occurs at Lakes Ellsworth or Lawtonka, include water treatment plants, wastewater treatment plants, recreational areas, and community-services offices.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125026","collaboration":"Prepared in cooperation with the city of Lawton","usgsCitation":"Rendon, S.H., Ashworth, C., and Smith, S.J., 2012, Dam-breach analysis and flood-inundation mapping for Lakes Ellsworth and Lawtonka near Lawton, Oklahoma: U.S. Geological Survey Scientific Investigations Report 2012-5026, iii, 9 p., https://doi.org/10.3133/sir20125026.","productDescription":"iii, 9 p.","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":257123,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5026.bmp"},{"id":257119,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5026/","linkFileType":{"id":5,"text":"html"}}],"projection":"Oklahoma State Plane South Projection","datum":"North American Datum, 1983","country":"United States","state":"Oklahoma","county":"Comanche County","city":"Lawton","otherGeospatial":"Ellsworth Lake, Lawtonka Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.6,34.3 ], [ -98.6,34.93333333333333 ], [ -98.2,34.93333333333333 ], [ -98.2,34.3 ], [ -98.6,34.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fd5de4b0c8380cd4e7d4","contributors":{"authors":[{"text":"Rendon, Samuel H. 0000-0001-5589-0563 srendon@usgs.gov","orcid":"https://orcid.org/0000-0001-5589-0563","contributorId":3940,"corporation":false,"usgs":true,"family":"Rendon","given":"Samuel","email":"srendon@usgs.gov","middleInitial":"H.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashworth, Chad E.","contributorId":62449,"corporation":false,"usgs":true,"family":"Ashworth","given":"Chad E.","affiliations":[],"preferred":false,"id":464171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, S. Jerrod 0000-0002-9379-8167 sjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9379-8167","contributorId":981,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"sjsmith@usgs.gov","middleInitial":"Jerrod","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464169,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038451,"text":"ofr20121118 - 2012 - Variability of distributions of well-scale estimated ultimate recovery for continuous (unconventional) oil and gas resources in the United States","interactions":[],"lastModifiedDate":"2012-06-03T01:01:45","indexId":"ofr20121118","displayToPublicDate":"2012-06-02T00:00:00","publicationYear":"2012","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":"2012-1118","title":"Variability of distributions of well-scale estimated ultimate recovery for continuous (unconventional) oil and gas resources in the United States","docAbstract":"Since 2000, the U.S. Geological Survey has completed assessments of continuous (unconventional) resources in the United States based on geologic studies and analysis of well-production data. This publication uses those 132 continuous oil and gas assessments to show the variability of well productivity within and among the 132 areas. The production from the most productive wells in an area commonly is more than 100 times larger than that from the poorest productive wells. The 132 assessment units were classified into four categories: shale gas, coalbed gas, tight gas, and continuous oil. For each category, the mean well productivity in the most productive assessment units is considerably greater than that of the least productive assessment units.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121118","usgsCitation":"U.S. Geological Survey Oil and Gas Assessment Team, 2012, Variability of distributions of well-scale estimated ultimate recovery for continuous (unconventional) oil and gas resources in the United States: U.S. Geological Survey Open-File Report 2012-1118, iii, 12 p.; Appendix, https://doi.org/10.3133/ofr20121118.","productDescription":"iii, 12 p.; Appendix","startPage":"i","endPage":"18","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":257122,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1118.gif"},{"id":257120,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1118/","linkFileType":{"id":5,"text":"html"}},{"id":257121,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1118/OF12-1118.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc137e4b08c986b32a4b0","contributors":{"authors":[{"text":"U.S. Geological Survey Oil and Gas Assessment Team","contributorId":128016,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey Oil and Gas Assessment Team","id":535186,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046418,"text":"70046418 - 2012 - The effects of climate-change-induced drought and freshwater wetlands","interactions":[],"lastModifiedDate":"2019-03-15T10:32:13","indexId":"70046418","displayToPublicDate":"2012-06-02T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The effects of climate-change-induced drought and freshwater wetlands","docAbstract":"<p><span>Drought cycles in wetlands may become more frequent and severe in the future, with consequences for wetland distribution and function. According to the Intergovernmental Panel on Climate Change (Intergovernmental Panel on Climate Change [IPCC], Managing the risks of extreme events and disasters to advance climate change adaptation, 2012. Online: http://ipcc-wg2.gov/SREX/images/uploads/SREX-All_FINAL.pdf, climate-change is likely to affect precipitation and evapotranspiration patterns so that the world’s wetlands may have more frequent episodes of extreme flooding and drought. This chapter contributes to a worldwide view of how wetland processes may be affected by these predicted changes in climate. Specifically, the occurrence of drought may increase, and that increase may affect the critical processes that sustain biodiversity in wetlands. We include specific examples that explore the effects of drought and other climate-change factors on wetland function in various parts of the world. In a concluding section we discuss management strategies for climate-change in wetlands. The synthesis of information in this chapter will contribute to a better understanding of how climate-change-induced drought may affect the function and distribution of wetlands in the future.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Global Change and the Function and Distribution of Wetlands (SWS Global Change Ecology series)","language":"English","publisher":"Springer","doi":"10.1007/978-94-007-4494-3_4","usgsCitation":"Middleton, B., and Kleinebecker, T., 2012, The effects of climate-change-induced drought and freshwater wetlands, chap. <i>of</i> Global Change and the Function and Distribution of Wetlands (SWS Global Change Ecology series), v. 1, p. 117-147, https://doi.org/10.1007/978-94-007-4494-3_4.","productDescription":"31 p.","startPage":"117","endPage":"147","ipdsId":"IP-032523","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":344642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","noUsgsAuthors":false,"publicationDate":"2012-06-04","publicationStatus":"PW","scienceBaseUri":"598acddfe4b09fa1cb0e13e9","contributors":{"editors":[{"text":"Middleton, B.A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":89108,"corporation":false,"usgs":true,"family":"Middleton","given":"B.A.","email":"middletonb@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":707397,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Middleton, B.A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":89108,"corporation":false,"usgs":true,"family":"Middleton","given":"B.A.","email":"middletonb@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":707396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kleinebecker, Till","contributorId":120441,"corporation":false,"usgs":true,"family":"Kleinebecker","given":"Till","email":"","affiliations":[],"preferred":false,"id":517936,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70136154,"text":"70136154 - 2012 - Genetic population substructure in bison at Yellowstone National Park","interactions":[],"lastModifiedDate":"2014-12-30T16:17:35","indexId":"70136154","displayToPublicDate":"2012-06-01T16:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2333,"text":"Journal of Heredity","active":true,"publicationSubtype":{"id":10}},"title":"Genetic population substructure in bison at Yellowstone National Park","docAbstract":"The Yellowstone National Park bison herd is 1 of only 2 populations known to have continually persisted on their current\nlandscape since pre-Columbian times. Over the last century, the census size of this herd has fluctuated from around 100\nindividuals to over 3000 animals. Previous studies involving radiotelemetry, tooth wear, and parturition timing provide\nevidence of at least 2 distinct groups of bison within Yellowstone National Park. To better understand the biology of\nYellowstone bison, we investigated the potential for limited gene flow across this population using multilocus Bayesian\nclustering analysis. Two genetically distinct and clearly defined subpopulations were identified based on both genotypic\ndiversity and allelic distributions. Genetic cluster assignments were highly correlated with sampling locations for a subgroup\nof live capture individuals. Furthermore, a comparison of the cluster assignments to the 2 principle winter cull sites revealed\ncritical differences in migration patterns across years. The 2 Yellowstone subpopulations display levels of differentiation that\nare only slightly less than that between populations which have been geographically and reproductively isolated for over\n40 years. The identification of cryptic population subdivision and genetic differentiation of this magnitude highlights the\nimportance of this biological phenomenon in the management of wildlife species.","language":"English","publisher":"American Genetic Association","publisherLocation":"New York, NY","doi":"10.1093/jhered/esr140","usgsCitation":"Halbert, N.D., Gogan, P.J., Hedrick, P.W., Jacquelyn M. Wahl, and Derr, J.N., 2012, Genetic population substructure in bison at Yellowstone National Park: Journal of Heredity, v. 103, no. 3, p. 360-370, https://doi.org/10.1093/jhered/esr140.","productDescription":"11 p.","startPage":"360","endPage":"370","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023659","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":474488,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jhered/esr140","text":"Publisher Index Page"},{"id":296957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296956,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://jhered.oxfordjournals.org/content/103/3/360.abstract"}],"volume":"103","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-02-08","publicationStatus":"PW","scienceBaseUri":"54dd2ba7e4b08de9379b345a","contributors":{"authors":[{"text":"Halbert, Natalie D.","contributorId":131084,"corporation":false,"usgs":false,"family":"Halbert","given":"Natalie","email":"","middleInitial":"D.","affiliations":[{"id":7235,"text":"Texas A&M University, Department of Veterinary Pathology","active":true,"usgs":false}],"preferred":false,"id":537170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gogan, Peter J. 0000-0002-7821-133X peter_gogan@usgs.gov","orcid":"https://orcid.org/0000-0002-7821-133X","contributorId":1771,"corporation":false,"usgs":true,"family":"Gogan","given":"Peter","email":"peter_gogan@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":537167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hedrick, Philip W.","contributorId":131085,"corporation":false,"usgs":false,"family":"Hedrick","given":"Philip","email":"","middleInitial":"W.","affiliations":[{"id":7236,"text":"Arizona State University, School of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":537171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacquelyn M. Wahl","contributorId":131082,"corporation":false,"usgs":false,"family":"Jacquelyn M. Wahl","affiliations":[{"id":7234,"text":"Texas A&M University, School of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":537168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Derr, James N.","contributorId":131083,"corporation":false,"usgs":false,"family":"Derr","given":"James","email":"","middleInitial":"N.","affiliations":[{"id":7235,"text":"Texas A&M University, Department of Veterinary Pathology","active":true,"usgs":false}],"preferred":false,"id":537169,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045092,"text":"70045092 - 2012 - Relative azimuth inversion by way of damped maximum correlation estimates","interactions":[],"lastModifiedDate":"2018-02-08T09:39:10","indexId":"70045092","displayToPublicDate":"2012-06-01T16:26:27","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Relative azimuth inversion by way of damped maximum correlation estimates","docAbstract":"Horizontal seismic data are utilized in a large number of Earth studies. Such work depends on the published orientations of the sensitive axes of seismic sensors relative to true North. These orientations can be estimated using a number of different techniques: SensOrLoc (Sensitivity, Orientation and Location), comparison to synthetics (Ekstrom and Busby, 2008), or by way of magnetic compass. Current methods for finding relative station azimuths are unable to do so with arbitrary precision quickly because of limitations in the algorithms (e.g. grid search methods). Furthermore, in order to determine instrument orientations during station visits, it is critical that any analysis software be easily run on a large number of different computer platforms and the results be obtained quickly while on site.  We developed a new technique for estimating relative sensor azimuths by inverting for the orientation with the maximum correlation to a reference instrument, using a non-linear parameter estimation routine. By making use of overlapping windows, we are able to make multiple azimuth estimates, which helps to identify the confidence of our azimuth estimate, even when the signal-to-noise ratio (SNR) is low. Finally, our algorithm has been written as a stand-alone, platform independent, Java software package with a graphical user interface for reading and selecting data segments to be analyzed.","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2012.02.025","usgsCitation":"Ringler, A., Edwards, J., Hutt, C., and Shelly, F., 2012, Relative azimuth inversion by way of damped maximum correlation estimates: Computers & Geosciences, v. 43, p. 1-6, https://doi.org/10.1016/j.cageo.2012.02.025.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-035082","costCenters":[{"id":122,"text":"Albuquerque Seismological Laboratory","active":false,"usgs":true}],"links":[{"id":275028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275027,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.cageo.2012.02.025"}],"country":"United States","volume":"43","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e519efe4b069f8d27ccb2f","contributors":{"authors":[{"text":"Ringler, A. T. 0000-0002-9839-4188","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":99282,"corporation":false,"usgs":true,"family":"Ringler","given":"A. T.","affiliations":[],"preferred":false,"id":476772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, J.D.","contributorId":69622,"corporation":false,"usgs":true,"family":"Edwards","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":476771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutt, C. R. 0000-0001-9033-9195","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":61910,"corporation":false,"usgs":true,"family":"Hutt","given":"C. R.","affiliations":[],"preferred":false,"id":476770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelly, F.","contributorId":38043,"corporation":false,"usgs":true,"family":"Shelly","given":"F.","email":"","affiliations":[],"preferred":false,"id":476769,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003783,"text":"70003783 - 2012 - Movement of resident rainbow trout transplanted below a barrier to anadromy","interactions":[],"lastModifiedDate":"2017-05-10T13:44:44","indexId":"70003783","displayToPublicDate":"2012-06-01T15:47:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Movement of resident rainbow trout transplanted below a barrier to anadromy","docAbstract":"<p>We tracked the movement of resident coastal rainbow trout <i>Oncorhynchus mykiss irideus</i> that were experimentally transplanted below a migration barrier in a northern California stream. In 2005 and 2006, age-1 and older rainbow trout were captured above a 5-m-high waterfall in Freshwater Creek and individually marked with passive integrated transponder tags. Otolith microchemistry confirmed that the above-barrier trout were the progeny of resident rather than anadromous parents, and genetic analysis indicated that the rainbow trout were introgressed with cutthroat trout <i>O. clarkii</i>. At each of three sampling events, half of the tagged individuals (<i>n</i> = 22 and 43 trout in 2005 and 2006, respectively) were released 5 km downstream from the waterfall (approximately 10 km upstream from tidewater), and an equal number of tagged individuals were released above the barrier. Tagged individuals were subsequently relocated with stationary and mobile antennae or recaptured in downstream migrant traps, or both, until tracking ceased in October 2007. Most transplanted individuals remained within a few hundred meters of their release location. Three individuals, including one rainbow trout released above the waterfall, were last detected in the tidally influenced lower creek. Two additional tagged individuals released above the barrier were found alive in below-barrier reaches and had presumably washed over the falls. Two of seven tagged rainbow trout captured in downstream migrant traps had smolted and one was a presmolt. The smoltification of at least some individuals, coupled with above-barrier \"leakage\" of fish downstream, suggests that above-barrier resident trout have the potential to exhibit migratory behavior and to enter breeding populations of steelhead (anadromous rainbow trout) within the basin.</p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/00028487.2012.662204","usgsCitation":"Wilzbach, M.A., Ashenfelter, M.J., and Ricker, S.J., 2012, Movement of resident rainbow trout transplanted below a barrier to anadromy: Transactions of the American Fisheries Society, v. 141, no. 2, p. 294-304, https://doi.org/10.1080/00028487.2012.662204.","productDescription":"11 p.","startPage":"294","endPage":"304","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029228","costCenters":[{"id":204,"text":"Cooperative Research Unit Seattle","active":false,"usgs":true}],"links":[{"id":257295,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"141","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-03-06","publicationStatus":"PW","scienceBaseUri":"505a5f20e4b0c8380cd70da7","contributors":{"authors":[{"text":"Wilzbach, Margaret A.","contributorId":76981,"corporation":false,"usgs":true,"family":"Wilzbach","given":"Margaret","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":348826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashenfelter, Mark J.","contributorId":24613,"corporation":false,"usgs":true,"family":"Ashenfelter","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":348824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ricker, Seth J.","contributorId":38828,"corporation":false,"usgs":true,"family":"Ricker","given":"Seth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":348825,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045772,"text":"70045772 - 2012 - Spatially telescoping measurements for improved characterization of groundwater-surface water interactions","interactions":[],"lastModifiedDate":"2013-07-25T15:52:00","indexId":"70045772","displayToPublicDate":"2012-06-01T15:34:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Spatially telescoping measurements for improved characterization of groundwater-surface water interactions","docAbstract":"The suite of measurement methods available to characterize fluxes between groundwater and surface water is rapidly growing. However, there are few studies that examine approaches to design of field investigations that include multiple methods. We propose that performing field measurements in a spatially telescoping sequence improves measurement flexibility and accounts for nested heterogeneities while still allowing for parsimonious experimental design. We applied this spatially telescoping approach in a study of ground water-surface water (GW-SW) interaction during baseflow conditions along Lucile Creek, located near Wasilla, Alaska. Catchment-scale data, including channel geomorphic indices and hydrogeologic transects, were used to screen areas of potentially significant GW-SW exchange. Specifically, these data indicated increasing groundwater contribution from a deeper regional aquifer along the middle to lower reaches of the stream. This initial assessment was tested using reach-scale estimates of groundwater contribution during baseflow conditions, including differential discharge measurements and the use of chemical tracers analyzed in a three-component mixing model. The reach-scale measurements indicated a large increase in discharge along the middle reaches of the stream accompanied by a shift in chemical composition towards a regional groundwater end member. Finally, point measurements of vertical water fluxes -- obtained using seepage meters as well as temperature-based methods -- were used to evaluate spatial and temporal variability of GW-SW exchange within representative reaches. The spatial variability of upward fluxes, estimated using streambed temperature mapping at the sub-reach scale, was observed to vary in relation to both streambed composition and the magnitude of groundwater contribution from differential discharge measurements. The spatially telescoping approach improved the efficiency of this field investigation. Beginning our assessment with catchment-scale data allowed us to identify locations of GW-SW exchange, plan measurements at representative field sites and improve our interpretation of reach-scale and point-scale measurements.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2012.04.002","usgsCitation":"Kikuchi, C., Ferre, T.P., and Welker, J.M., 2012, Spatially telescoping measurements for improved characterization of groundwater-surface water interactions: Journal of Hydrology, v. 446-447, p. 1-12, https://doi.org/10.1016/j.jhydrol.2012.04.002.","productDescription":"13 p.","startPage":"1","endPage":"12","numberOfPages":"13","ipdsId":"IP-030766","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":275411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275410,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2012.04.002"}],"country":"United States","state":"Alaska","otherGeospatial":"Lucile Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -150.0,61.466667 ], [ -150.0,61.666667 ], [ -149.416667,61.666667 ], [ -149.416667,61.466667 ], [ -150.0,61.466667 ] ] ] } } ] }","volume":"446-447","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f25423e4b0279fe2e1c02e","contributors":{"authors":[{"text":"Kikuchi, Colin ckikuchi@usgs.gov","contributorId":3958,"corporation":false,"usgs":true,"family":"Kikuchi","given":"Colin","email":"ckikuchi@usgs.gov","affiliations":[],"preferred":true,"id":478336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferre, Ty P.A.","contributorId":102167,"corporation":false,"usgs":true,"family":"Ferre","given":"Ty","email":"","middleInitial":"P.A.","affiliations":[],"preferred":false,"id":478338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welker, Jeffery M.","contributorId":43654,"corporation":false,"usgs":true,"family":"Welker","given":"Jeffery","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":478337,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175264,"text":"70175264 - 2012 - Assessing the status and trend of bat populations across broad geographic regions with dynamic distribution models","interactions":[],"lastModifiedDate":"2016-08-03T14:24:11","indexId":"70175264","displayToPublicDate":"2012-06-01T15:30:00","publicationYear":"2012","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":"Assessing the status and trend of bat populations across broad geographic regions with dynamic distribution models","docAbstract":"<p>Bats face unprecedented threats from habitat loss, climate change, disease, and wind power development, and populations of many species are in decline. A better ability to quantify bat population status and trend is urgently needed in order to develop effective conservation strategies. We used a Bayesian autoregressive approach to develop dynamic distribution models for&nbsp;<i><span class=\"genusSpeciesInfoAsset\">Myotis lucifugus</span></i>, the little brown bat, across a large portion of northwestern USA, using a four-year detection history matrix obtained from a regional monitoring program. This widespread and abundant species has experienced precipitous local population declines in northeastern USA resulting from the novel disease white-nose syndrome, and is facing likely range-wide declines. Our models were temporally dynamic and accounted for imperfect detection. Drawing on species&ndash;energy theory, we included measures of net primary productivity (NPP) and forest cover in models, predicting that&nbsp;<i><span class=\"genusSpeciesInfoAsset\">M. lucifugus</span></i>&nbsp;occurrence probabilities would covary positively along those gradients.</p>\n<p>Despite its common status,&nbsp;<i><span class=\"genusSpeciesInfoAsset\">M. lucifugus</span></i>&nbsp;was only detected during &sim;50% of the surveys in occupied sample units. The overall na&iuml;ve estimate for the proportion of the study region occupied by the species was 0.69, but after accounting for imperfect detection, this increased to &sim;0.90. Our models provide evidence of an association between NPP and forest cover and&nbsp;<i><span class=\"genusSpeciesInfoAsset\">M. lucifugus</span></i>&nbsp;distribution, with implications for the projected effects of accelerated climate change in the region, which include net aridification as snowpack and stream flows decline. Annual turnover, the probability that an occupied sample unit was a newly occupied one, was estimated to be low (&sim;0.04&ndash;0.14), resulting in flat trend estimated with relatively high precision (SD = 0.04). We mapped the variation in predicted occurrence probabilities and corresponding prediction uncertainty along the productivity gradient. Our results provide a much needed baseline against which future anticipated declines in&nbsp;<i><span class=\"genusSpeciesInfoAsset\">M. lucifugus</span></i>&nbsp;occurrence can be measured. The dynamic distribution modeling approach has broad applicability to regional bat monitoring efforts now underway in several countries and we suggest ways to improve and expand our grid-based monitoring program to gain robust insights into bat population status and trend across large portions of North America.</p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Tempe, AZ","doi":"10.1890/11-1662.1","usgsCitation":"Rodhouse, T., Ormsbee, P., Irvine, K.M., Vierling, L.A., Szewczak, J.M., and Vierling, K.T., 2012, Assessing the status and trend of bat populations across broad geographic regions with dynamic distribution models: Ecological Applications, v. 22, no. 4, p. 1098-1113, https://doi.org/10.1890/11-1662.1.","startPage":"1098","endPage":"1113","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032671","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":326061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a315bbe4b006cb45558a2f","contributors":{"authors":[{"text":"Rodhouse, Thomas J.","contributorId":127378,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Thomas J.","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":644614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ormsbee, Patricia C.","contributorId":127379,"corporation":false,"usgs":false,"family":"Ormsbee","given":"Patricia C.","affiliations":[{"id":6925,"text":"US Forest Service, retired","active":true,"usgs":false}],"preferred":false,"id":644613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":644609,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vierling, Lee A.","contributorId":169443,"corporation":false,"usgs":false,"family":"Vierling","given":"Lee","email":"","middleInitial":"A.","affiliations":[{"id":6711,"text":"University of Idaho, Moscow ID","active":true,"usgs":false}],"preferred":false,"id":644612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szewczak, Joseph M.","contributorId":30127,"corporation":false,"usgs":false,"family":"Szewczak","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":6958,"text":"Department of Biological Sciences, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":644610,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vierling, Kerri T.","contributorId":140099,"corporation":false,"usgs":false,"family":"Vierling","given":"Kerri","email":"","middleInitial":"T.","affiliations":[{"id":13384,"text":"Department of Fish and Wildlife Sciences, University of Idaho,","active":true,"usgs":false}],"preferred":false,"id":644611,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70125967,"text":"70125967 - 2012 - Species differentiation on a dynamic landscape: shifts in metapopulation genetic structure using the chronology of the Hawaiian Archipelago","interactions":[],"lastModifiedDate":"2014-09-18T12:53:54","indexId":"70125967","displayToPublicDate":"2012-06-01T12:52:26","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1602,"text":"Evolutionary Biology","active":true,"publicationSubtype":{"id":10}},"title":"Species differentiation on a dynamic landscape: shifts in metapopulation genetic structure using the chronology of the Hawaiian Archipelago","docAbstract":"Species formation during adaptive radiation often occurs in the context of a changing environment. The establishment and arrangement of populations, in space and time, sets up ecological and genetic processes that dictate the rate and pattern of differentiation. Here, we focus on how a dynamic habitat can affect genetic structure, and ultimately, differentiation among populations. We make use of the chronology and geographical history provided by the Hawaiian archipelago to examine the initial stages of population establishment and genetic divergence. We use data from a set of 6 spider lineages that differ in habitat affinities, some preferring low elevation habitats with a longer history of connection, others being more specialized for high elevation and/or wet forest, some with more general habitat affinities. We show that habitat preferences associated with lineages are important in ecological and genetic structuring. Lineages that have more restricted habitat preferences are subject to repeated episodes of isolation and fragmentation as a result of lava flows and vegetation succession. The initial dynamic set up by the landscape translates over time into discrete lineages. Further work is needed to understand how genetic changes interact with a changing set of ecological interactions amongst a shifting mosaic of landscapes to achieve species formation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Evolutionary Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Plenum Press","publisherLocation":"New York, NY","doi":"10.1007/s11692-012-9184-5","usgsCitation":"Roderick, G.K., Croucher, P., Vandergast, A.G., and Gillespie, R.G., 2012, Species differentiation on a dynamic landscape: shifts in metapopulation genetic structure using the chronology of the Hawaiian Archipelago: Evolutionary Biology, v. 39, no. 2, p. 192-206, https://doi.org/10.1007/s11692-012-9184-5.","productDescription":"15 p.","startPage":"192","endPage":"206","numberOfPages":"15","ipdsId":"IP-037509","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474489,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11692-012-9184-5","text":"Publisher Index Page"},{"id":294157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294152,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11692-012-9184-5"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -178.31,18.91 ], [ -178.31,28.4 ], [ -154.81,28.4 ], [ -154.81,18.91 ], [ -178.31,18.91 ] ] ] } } ] }","volume":"39","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-05-15","publicationStatus":"PW","scienceBaseUri":"541bf458e4b0e96537ddf890","contributors":{"authors":[{"text":"Roderick, George K.","contributorId":37660,"corporation":false,"usgs":true,"family":"Roderick","given":"George","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":501814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croucher, Peter","contributorId":107211,"corporation":false,"usgs":true,"family":"Croucher","given":"Peter","email":"","affiliations":[],"preferred":false,"id":501817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":97617,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gillespie, Rosemary G.","contributorId":86700,"corporation":false,"usgs":true,"family":"Gillespie","given":"Rosemary","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":501815,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148651,"text":"70148651 - 2012 - Habitat use of woodpeckers in the Big Woods of eastern Arkansas","interactions":[],"lastModifiedDate":"2015-07-13T11:42:26","indexId":"70148651","displayToPublicDate":"2012-06-01T12:45:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Habitat use of woodpeckers in the Big Woods of eastern Arkansas","docAbstract":"<p>The Big Woods of eastern Arkansas contain some of the highest densities of woodpeckers recorded within bottomland hardwood forests of the southeastern United States. A better understanding of habitat use patterns by these woodpeckers is a priority for conservationists seeking to maintain these high densities in the Big Woods and the Lower Mississippi Alluvial Valley as a whole. Hence, we used linear mixed-effects and linear models to estimate the importance of habitat characteristics to woodpecker density in the Big Woods during the breeding seasons of 2006 and 2007 and the winter of 2007. Northern flicker <i>Colaptes auratus</i> density was negatively related to tree density both for moderate (. 25 cm diameter at breast height) and larger trees (&gt;61 cm diameter at breast height). Red-headed woodpeckers <i>Melanerpes erythrocephalus</i> also had a negative relationship with density of large (. 61 cm diameter at breast height) trees. Bark disfiguration (an index of tree health) was negatively related to red-bellied woodpecker <i>Melanerpes carolinus</i> and yellow-bellied sapsucker <i>Sphyrapicus varius</i> densities. No measured habitat variables explained pileated woodpecker <i>Dryocopus pileatus</i> density. Overall, the high densities of woodpeckers observed in our study suggest that the current forest management of the Big Woods of Arkansas is meeting the nesting, roosting, and foraging requirements for these birds.</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Washington, D.C.","doi":"10.3996/112011-JFWM-065","collaboration":"U.S. Fish and Wildlife Service","usgsCitation":"Krementz, D.G., Lehnen, S.E., and Luscier, J., 2012, Habitat use of woodpeckers in the Big Woods of eastern Arkansas: Journal of Fish and Wildlife Management, v. 3, no. 1, p. 89-97, https://doi.org/10.3996/112011-JFWM-065.","productDescription":"9 p.","startPage":"89","endPage":"97","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034124","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":474490,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/112011-jfwm-065","text":"Publisher Index Page"},{"id":305681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a4e141e4b0183d66e45398","contributors":{"authors":[{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":548950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lehnen, Sarah E.","contributorId":145588,"corporation":false,"usgs":false,"family":"Lehnen","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":564713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luscier, J.D.","contributorId":20961,"corporation":false,"usgs":true,"family":"Luscier","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":564714,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70147928,"text":"70147928 - 2012 - Raptor community composition in the Texas Southern High Plains lesser prairie-chicken range","interactions":[],"lastModifiedDate":"2015-05-11T11:35:20","indexId":"70147928","displayToPublicDate":"2012-06-01T12:45:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Raptor community composition in the Texas Southern High Plains lesser prairie-chicken range","docAbstract":"<p>Predation can be a factor in preventing prey population growth and sustainability when prey populations are small and fragmented, and when predator density is unrelated to the density of the single prey species. We conducted monthly raptor surveys from February 2007 to May 2009 in adjacent areas of the Texas Southern High Plains (USA) that do and do not support lesser prairie-chickens (<i>Tympanuchus pallidicinctus</i>), a candidate for protection under the Endangered Species Act. During the summer period corresponding to prairie-chicken nesting and brood-rearing, Swainson's hawks (<i>Buteo swainsoni</i>) were the most abundant raptor. During the lekking and overwintering period, the raptor community was diverse, with northern harriers (<i>Circus cyaneus</i>) being the most abundant species. Raptor abundance peaked during the early autumn and was lowest during the spring. Utility poles were a significant predictor of raptor density at survey points and Swainson's hawks and all raptors, pooled, were found in greater densities in non-prairie-chicken habitat dominated by mesquite (<i>Prosopis glandulosa</i>). Avian predation risk on prairie-chickens, based on presence and abundance of raptors, appears to be greatest during winter when there is a more abundant and diverse raptor community, and in areas with utility poles.</p>","language":"English","publisher":"Wildlife Society","publisherLocation":"Washington, D.C.","doi":"10.1002/wsb.135","usgsCitation":"Behney, A., Boal, C.W., Whitlaw, H.A., and Lucia, D., 2012, Raptor community composition in the Texas Southern High Plains lesser prairie-chicken range: Wildlife Society Bulletin, v. 36, no. 2, p. 291-296, https://doi.org/10.1002/wsb.135.","productDescription":"6 p.","startPage":"291","endPage":"296","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029902","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499986,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/1678ff3cfb9b47cabc2c53166b4c6b4b","text":"External Repository"},{"id":300288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2012-04-26","publicationStatus":"PW","scienceBaseUri":"5551d2b8e4b0a92fa7e93c04","contributors":{"authors":[{"text":"Behney, A.C.","contributorId":45554,"corporation":false,"usgs":true,"family":"Behney","given":"A.C.","email":"","affiliations":[],"preferred":false,"id":546680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":546415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitlaw, Heather A.","contributorId":13026,"corporation":false,"usgs":true,"family":"Whitlaw","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":546681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lucia, D.R.","contributorId":73856,"corporation":false,"usgs":true,"family":"Lucia","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":546682,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038823,"text":"ofr20121107 - 2012 - Sulfur dioxide emission rates from Kilauea Volcano, Hawaii, 2007-2010","interactions":[],"lastModifiedDate":"2019-05-30T12:10:57","indexId":"ofr20121107","displayToPublicDate":"2012-06-01T12:42:26","publicationYear":"2012","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":"2012-1107","displayTitle":"Sulfur dioxide emission rates from Kīlauea Volcano, Hawai‘i, 2007–2010","title":"Sulfur dioxide emission rates from Kilauea Volcano, Hawaii, 2007-2010","docAbstract":"K&#299;lauea Volcano has one of the longest running volcanic sulfur dioxide (SO<sub>2</sub>) emission rate databases on record. Sulfur dioxide emission rates from K&#299;lauea Volcano were first measured by Stoiber and Malone (1975) and have been measured on a regular basis since 1979 (Elias and Sutton, 2007, and references within). Compilations of SO<sub>2</sub> emission-rate and wind-vector data from 1979 through 2006 are available on the USGS Web site (Elias and others, 1998; Elias and Sutton, 2002; Elias and Sutton, 2007). This report updates the database, documents the changes in data collection and processing methods, and highlights how SO<sub>2</sub> emissions have varied with eruptive activity at K&#299;lauea Volcano for the interval 2007&ndash;2010.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121107","usgsCitation":"Elias, T., and Sutton, A.J., 2012, Sulfur dioxide emission rates from Kilauea Volcano, Hawaii, 2007-2010: U.S. Geological Survey Open-File Report 2012-1107, iv, 25 p.; Downloads of Spreadsheets 3-7, https://doi.org/10.3133/ofr20121107.","productDescription":"iv, 25 p.; Downloads of Spreadsheets 3-7","startPage":"i","endPage":"25","numberOfPages":"29","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":257867,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1107.gif"},{"id":257863,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1107/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9dd4e4b08c986b31dae2","contributors":{"authors":[{"text":"Elias, T. 0000-0002-9592-4518","orcid":"https://orcid.org/0000-0002-9592-4518","contributorId":71195,"corporation":false,"usgs":true,"family":"Elias","given":"T.","affiliations":[],"preferred":false,"id":465021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sutton, A. J. 0000-0003-1902-3977","orcid":"https://orcid.org/0000-0003-1902-3977","contributorId":28983,"corporation":false,"usgs":true,"family":"Sutton","given":"A.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":465020,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148659,"text":"70148659 - 2012 - Effects of lead on Na+, K+-ATPase and hemolymph ion concentrations in the freshwater mussel Elliptio complanata","interactions":[],"lastModifiedDate":"2015-07-01T14:24:06","indexId":"70148659","displayToPublicDate":"2012-06-01T12:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1570,"text":"Environmental Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of lead on Na+, K+-ATPase and hemolymph ion concentrations in the freshwater mussel Elliptio complanata","docAbstract":"<p>Freshwater mussels are an imperiled fauna exposed to a variety of environmental toxicants such as lead (Pb) and studies are urgently needed to assess their health and condition to guide conservation efforts. A 28-day laboratory toxicity test with Pb and adult Eastern elliptio mussels (Elliptio complanata) was conducted to determine uptake kinetics and to assess the toxicological effects of Pb exposure. Test mussels were collected from a relatively uncontaminated reference site and exposed to a water-only control and five concentrations of Pb (as lead nitrate) ranging from 1 to 245 mu g/L in a static renewal test with a water hardness of 42 mg/L. Endpoints included tissue Pb concentrations, hemolymph Pb and ion (Na+, K+, Cl-, Ca2+) concentrations, and Na+, K+-ATPase enzyme activity in gill tissue. Mussels accumulated Pb rapidly, with tissue concentrations increasing at an exposure-dependent rate for the first 2 weeks, but with no significant increase from 2 to 4 weeks. Mussel tissue Pb concentrations ranged from 0.34 to 898 mu g/g dry weight, were strongly related to Pb in test water at every time interval (7, 14, 21, and 28 days), and did not significantly increase after day 14. Hemolymph Pb concentration was variable, dependent on exposure concentration, and showed no appreciable change with time beyond day 7, except for mussels in the greatest exposure concentration (245 mu g/L), which showed a significant reduction in Pb by 28 days, suggesting a threshold for Pb binding or elimination in hemolymph at concentrations near 1000 mu g/g. The Na+, K+-ATPase activity in the gill tissue of mussels was significantly reduced by Pb on day 28 and was highly correlated with tissue Pb concentration (R2 = 0.92; P = 0.013). The Na+, K+-ATPase activity was correlated with reduced hemolymph Na+ concentration at the greatest Pb exposure when enzyme activity was at 30% of controls. Hemolymph Ca2+ concentration increased significantly in mussels from the greatest Pb exposure and may be due to remobilization from the shell in an attempt to buffer the hemolymph against Pb uptake and toxicity. We conclude that Na+, K+-ATPase activity in mussels was adversely affected by Pb exposure, however, because the effects on activity were variable at the lower test concentrations, additional research is warranted over this range of exposures. (C) 2010 Wiley Periodicals, Inc. Environ Toxicol, 2012.</p>","language":"English","doi":"10.1002/tox.20639","collaboration":"North Carolina Department of Transportation (NCDOT) HWY-2007-03; North Carolina State University; North Carolina Wildlife Resources Commission; U.S. Fish and Wildlife Service; Wildlife Management Institute","usgsCitation":"Mosher, S., Cope, W., Weber, F.X., Shea, D., and Kwak, T.J., 2012, Effects of lead on Na+, K+-ATPase and hemolymph ion concentrations in the freshwater mussel Elliptio complanata: Environmental Toxicology, v. 27, no. 5, p. 268-276, https://doi.org/10.1002/tox.20639.","productDescription":"9","startPage":"268","endPage":"276","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-020804","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":474491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tox.20639","text":"Publisher Index Page"},{"id":305549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Eno River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.06379699707031,\n              36.03855017779992\n            ],\n            [\n              -79.06379699707031,\n              36.094609063015085\n            ],\n            [\n              -78.79188537597656,\n              36.094609063015085\n            ],\n            [\n              -78.79188537597656,\n              36.03855017779992\n            ],\n            [\n              -79.06379699707031,\n              36.03855017779992\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2010-08-19","publicationStatus":"PW","scienceBaseUri":"55950f2fe4b0b6d21dd6cbde","contributors":{"authors":[{"text":"Mosher, Shad","contributorId":145453,"corporation":false,"usgs":false,"family":"Mosher","given":"Shad","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":564090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cope, W. Gregory","contributorId":70353,"corporation":false,"usgs":true,"family":"Cope","given":"W. Gregory","affiliations":[],"preferred":false,"id":564091,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weber, Frank X.","contributorId":145454,"corporation":false,"usgs":false,"family":"Weber","given":"Frank","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":564092,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shea, Damian","contributorId":145456,"corporation":false,"usgs":false,"family":"Shea","given":"Damian","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":564093,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":548958,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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