{"pageNumber":"607","pageRowStart":"15150","pageSize":"25","recordCount":46681,"records":[{"id":70041434,"text":"sir20125251 - 2012 - Ecosystem services valuation to support decisionmaking on public lands—A case study of the San Pedro River watershed, Arizona","interactions":[],"lastModifiedDate":"2012-12-05T08:34:24","indexId":"sir20125251","displayToPublicDate":"2012-12-05T00:00:00","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":"2012-5251","title":"Ecosystem services valuation to support decisionmaking on public lands—A case study of the San Pedro River watershed, Arizona","docAbstract":"This report details the findings of the Bureau of Land Management–U.S. Geological Survey Ecosystem Services Valuation Pilot Study. This project evaluated alternative methods and tools that quantify and value ecosystem services, and it assessed the tools’ readiness for use in the Bureau of Land Management decisionmaking process. We tested these tools on the San Pedro River watershed in northern Sonora, Mexico, and southeast Arizona. The study area includes the San Pedro Riparian National Conservation Area (managed by the Bureau of Land Management), which has been a focal point for conservation activities and scientific research in recent decades. We applied past site-specific primary valuation studies, value transfer, the Wildlife Habitat Benefits Estimation Toolkit, and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) and Artificial Intelligence for Ecosystem Services (ARIES) models to value locally important ecosystem services for the San Pedro River watershed—water, carbon, biodiversity, and cultural values. We tested these approaches on a series of scenarios to evaluate ecosystem service changes and the ability of the tools to accommodate scenarios. A suite of additional tools were either at too early a stage of development to run, were proprietary, or were place-specific tools inappropriate for application to the San Pedro River watershed. We described the strengths and weaknesses of these additional ecosystem service tools against a series of evaluative criteria related to their usefulness for Bureau of Land Management decisionmaking. Using these tools, we quantified gains or losses of ecosystem services under three categories of scenarios: urban growth, mesquite management, and water augmentation. These results quantify tradeoffs and could be useful for decisionmaking within Bureau of Land Management district or field offices. Results are accompanied by a relatively high level of uncertainty associated with model outputs, valuation methods, and discount rates applied. Further guidance on representing uncertainty and applying uncertain results in decisionmaking would benefit both tool developers and those offices in using ecosystem services to compare management tradeoffs. Decisionmakers and Bureau of Land Management managers at the State-, district-, and field-office level would also benefit from continuing model improvements, training, and guidance on tool use that can be provided by the U.S. Geological Survey, the Bureau of Land Management, and the Department of the Interior. Tradeoffs were identified in the level of effort needed to parameterize and run tools and the amount and quality of information they provide to the decision process. We found the Wildlife Habitat Benefits Estimation Toolkit, Ecosystem Services Review, and United Nations Environment Programme–World Conservation Monitoring Centre Ecosystem Services Toolkit to be immediately feasible for application by the Bureau of Land Management, given proper guidance on their use. It is also feasible for the Bureau of Land Management to use the InVEST model, but in early 2012 the process of parameterizing the model required resources and expertise that are unlikely to be available in most Bureau of Land Management district or field offices. Application of past primary valuation is feasible, but developing new primary-valuation studies is too time consuming for regular application. Value transfer approaches (aside from the Wildlife Habitat Benefits Estimation Toolkit) are best applied carefully on the basis of guidelines described in this report, to reduce transfer error. The ARIES model can provide useful information in regions modeled in the past (Arizona, California, Colorado, and Washington), but it lacks some features that will improve its usability, such as a generalized model that could be applied anywhere in the United States. Eleven other tools described in this report could become useful as the tools more fully develop, in high-profile cases for which additional resources are available for tool application or in case-study regions where place-specific models have already been developed. To improve the value of these tools in decisionmaking, we suggest scientific needs that agencies such as U.S. Geological Survey can help meet—for instance, development and support of data archives. Such archives could greatly reduce resource needs and improve the reliability and consistency of results. Given the rapid state of evolution in the field, periodic follow-up studies on ecosystem services tools would help to ensure that the Bureau of Land Management and other public land management agencies are kept up to date on new tools and features that bring ecosystem services closer to readiness for use in regular decisionmaking.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125251","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Bagstad, K.J., Semmens, D., Winthrop, R., Jaworksi, D., and Larson, J., 2012, Ecosystem services valuation to support decisionmaking on public lands—A case study of the San Pedro River watershed, Arizona: U.S. Geological Survey Scientific Investigations Report 2012-5251, viii, 93 p., https://doi.org/10.3133/sir20125251.","productDescription":"viii, 93 p.","numberOfPages":"105","additionalOnlineFiles":"N","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":263687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5251.gif"},{"id":263685,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5251/"},{"id":263686,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5251/sir2012-5251.pdf"}],"scale":"100000","projection":"Universal Transverse Mercator projection, Zone 12 North","datum":"North American Datum 1983","country":"Mexico;United States","state":"Arizona;Sonora","county":"Cochise;Gila;Graham;Pima;Pinal;Santa Cruz","otherGeospatial":"San Pedro River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.75,31.0 ], [ -111.75,33.25 ], [ -109.75,33.25 ], [ -109.75,31.0 ], [ -111.75,31.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bfb8b6e4b01744973f7796","contributors":{"authors":[{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":469711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Semmens, Darius J. 0000-0001-7924-6529","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":64201,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":469713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winthrop, Rob","contributorId":60099,"corporation":false,"usgs":true,"family":"Winthrop","given":"Rob","affiliations":[],"preferred":false,"id":469712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaworksi, Delilah","contributorId":75828,"corporation":false,"usgs":true,"family":"Jaworksi","given":"Delilah","email":"","affiliations":[],"preferred":false,"id":469715,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larson, Joel","contributorId":69859,"corporation":false,"usgs":true,"family":"Larson","given":"Joel","email":"","affiliations":[],"preferred":false,"id":469714,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041454,"text":"fs20123124 - 2012 - The Midwest Stream Quality Assessment","interactions":[],"lastModifiedDate":"2023-03-22T14:05:41.793654","indexId":"fs20123124","displayToPublicDate":"2012-12-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3124","title":"The Midwest Stream Quality Assessment","docAbstract":"In 2013, the U.S. Geological Survey (USGS) National Water-Quality Assessment Program (NAWQA) and USGS Columbia Environmental Research Center (CERC) will be collaborating with the U.S. Environmental Protection Agency (EPA) National Rivers and Streams Assessment (NRSA) to assess stream quality across the Midwestern United States. The sites selected for this study are a subset of the larger NRSA, implemented by the EPA, States and Tribes to sample flowing waters across the United States (<a href=\"http://water.epa.gov/type/rsl/monitoring/riverssurvey/index.cfm\"><em>http://water.epa.gov/type/rsl/monitoring/riverssurvey/index.cfm</em></a>). The goals are to characterize water-quality stressors—contaminants, nutrients, and sediment—and ecological conditions in streams throughout the Midwest and to determine the relative effects of these stressors on aquatic organisms in the streams. Findings will contribute useful information for communities and policymakers by identifying which human and environmental factors are the most critical in controlling stream quality. This collaborative study enhances information provided to the public and policymakers and minimizes costs by leveraging and sharing data gathered under existing programs. In the spring and early summer, NAWQA will sample streams weekly for contaminants, nutrients, and sediment. During the same time period, CERC will test sediment and water samples for toxicity, deploy time-integrating samplers, and measure reproductive effects and biomarkers of contaminant exposure in fish or amphibians. NRSA will sample sites once during the summer to assess ecological and habitat conditions in the streams by collecting data on algal, macroinvertebrate, and fish communities and collecting detailed physical-habitat measurements. Study-team members from all three programs will work in collaboration with USGS Water Science Centers and State agencies on study design, execution of sampling and analysis, and reporting.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123124","collaboration":"A Collaboration Between the U.S. Geological Survey and the U.S. Environmental Protection Agency","usgsCitation":"Van Metre, P.C., Frey, J.W., and Tarquinio, E., 2012, The Midwest Stream Quality Assessment: U.S. Geological Survey Fact Sheet 2012-3124, 2 p., https://doi.org/10.3133/fs20123124.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":263722,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3124/"},{"id":263724,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3124.jpg"},{"id":263723,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3124/pdf/Midwest_Stream_Quality_Assess_%20fs.pdf"}],"country":"United States","otherGeospatial":"Midwest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.19580078125,\n              37.020098201368114\n            ],\n            [\n              -98.19580078125,\n              45.38301927899065\n            ],\n            [\n              -82.55126953124999,\n              45.38301927899065\n            ],\n            [\n              -82.55126953124999,\n              37.020098201368114\n            ],\n            [\n              -98.19580078125,\n              37.020098201368114\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50c11acde4b005831885e289","contributors":{"authors":[{"text":"Van Metre, Peter C. 0000-0001-7564-9814","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":211144,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":867130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frey, Jeffrey W. 0000-0002-3453-5009 jwfrey@usgs.gov","orcid":"https://orcid.org/0000-0002-3453-5009","contributorId":487,"corporation":false,"usgs":true,"family":"Frey","given":"Jeffrey","email":"jwfrey@usgs.gov","middleInitial":"W.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":867131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tarquinio, Ellen","contributorId":303308,"corporation":false,"usgs":false,"family":"Tarquinio","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":867132,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041411,"text":"70041411 - 2012 - Detecting hidden volcanic explosions from Mt. Cleveland Volcano, Alaska with infrasound and ground-couples airwaves","interactions":[],"lastModifiedDate":"2019-05-30T11:42:18","indexId":"70041411","displayToPublicDate":"2012-12-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Detecting hidden volcanic explosions from Mt. Cleveland Volcano, Alaska with infrasound and ground-couples airwaves","docAbstract":"In Alaska, where many active volcanoes exist without ground-based instrumentation, the use of techniques suitable for distant monitoring is pivotal. In this study we report regional-scale seismic and infrasound observations of volcanic activity at Mt. Cleveland between December 2011 and August 2012. During this period, twenty explosions were detected by infrasound sensors as far away as 1827 km from the active vent, and ground-coupled acoustic waves were recorded at seismic stations across the Aleutian Arc. Several events resulting from the explosive disruption of small lava domes within the summit crater were confirmed by analysis of satellite remote sensing data. However, many explosions eluded initial, automated, analyses of satellite data due to poor weather conditions. Infrasound and seismic monitoring provided effective means for detecting these hidden events. We present results from the implementation of automatic infrasound and seismo-acoustic eruption detection algorithms, and review the challenges of real-time volcano monitoring operations in remote regions. We also model acoustic propagation in the Northern Pacific, showing how tropospheric ducting effects allow infrasound to travel long distances across the Aleutian Arc. The successful results of our investigation provide motivation for expanded efforts in infrasound monitoring across the Aleutians and contributes to our knowledge of the number and style of vulcanian eruptions at Mt. Cleveland.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012GL053635","usgsCitation":"De Angelis, S., Fee, D., Haney, M., and Schneider, D., 2012, Detecting hidden volcanic explosions from Mt. Cleveland Volcano, Alaska with infrasound and ground-couples airwaves: Geophysical Research Letters, v. 39, L21312; 6 p., https://doi.org/10.1029/2012GL053635.","productDescription":"L21312; 6 p.","temporalStart":"2011-12-01","temporalEnd":"2012-08-31","ipdsId":"IP-042065","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474223,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012gl053635","text":"Publisher Index Page"},{"id":263713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263712,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012GL053635"}],"country":"United States","state":"Alaska","otherGeospatial":"Mt. Cleveland","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -169.958166,52.813246 ], [ -169.958166,52.83325 ], [ -169.938151,52.83325 ], [ -169.938151,52.813246 ], [ -169.958166,52.813246 ] ] ] } } ] }","volume":"39","noUsgsAuthors":false,"publicationDate":"2012-11-13","publicationStatus":"PW","scienceBaseUri":"50bfb793e4b01744973f778e","contributors":{"authors":[{"text":"De Angelis, Slivio","contributorId":52055,"corporation":false,"usgs":true,"family":"De Angelis","given":"Slivio","email":"","affiliations":[],"preferred":false,"id":469663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fee, David","contributorId":77761,"corporation":false,"usgs":true,"family":"Fee","given":"David","affiliations":[],"preferred":false,"id":469664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haney, Matthew","contributorId":80555,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","affiliations":[],"preferred":false,"id":469666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schneider, David","contributorId":78204,"corporation":false,"usgs":true,"family":"Schneider","given":"David","affiliations":[],"preferred":false,"id":469665,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041413,"text":"70041413 - 2012 - Use of ASTER and MODIS thermal infrared data to quantify heat flow and hydrothermal change at Yellowstone National Park","interactions":[],"lastModifiedDate":"2019-05-31T08:23:29","indexId":"70041413","displayToPublicDate":"2012-12-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Use of ASTER and MODIS thermal infrared data to quantify heat flow and hydrothermal change at Yellowstone National Park","docAbstract":"<p id=\"sp0005\">The overarching aim of this study was to use satellite thermal infrared (TIR) remote sensing to monitor geothermal activity within the Yellowstone geothermal area to meet the missions of both the U.S. Geological Survey and the Yellowstone National Park Geology Program. Specific goals were to: 1) address the challenges of monitoring the surface thermal characteristics of the &gt;&nbsp;10,000 spatially and temporally dynamic thermal features in the Park (including hot springs, pools, geysers, fumaroles, and mud pots) that are spread out over ~&nbsp;5000&nbsp;km<sup>2</sup>, by using satellite TIR remote sensing tools (e.g., ASTER and MODIS), 2) to estimate the radiant geothermal heat flux (GHF) for Yellowstone's thermal areas, and 3) to identify normal, background thermal changes so that significant, abnormal changes can be recognized, should they ever occur (e.g., changes related to tectonic, hydrothermal, impending volcanic processes, or human activities, such as nearby geothermal development). ASTER TIR data (90-m pixels) were used to estimate the radiant GHF from all of Yellowstone's thermal features and update maps of thermal areas. MODIS TIR data (1-km pixels) were used to record background thermal radiance variations from March 2000 through December 2010 and establish thermal change detection limits.</p><p id=\"sp0010\">A lower limit for the radiant GHF estimated from ASTER TIR temperature data was established at ~&nbsp;2.0&nbsp;GW, which is ~&nbsp;30–45% of the heat flux estimated through geochemical thermometry. Also, about 5&nbsp;km<sup>2</sup><span>&nbsp;</span>of thermal areas was added to the geodatabase of mapped thermal areas. A decade-long time-series of MODIS TIR radiance data was dominated by seasonal cycles. A background subtraction technique was used in an attempt to isolate variations due to geothermal changes. Several statistically significant perturbations were noted in the time-series from Norris Geyser Basin, however many of these did not correspond to documented thermal disturbances. This study provides concrete examples of the strengths and limitations of current satellite TIR monitoring of geothermal areas, highlighting some specific areas that can be improved. This work provides a framework for future satellite-based thermal monitoring at Yellowstone and other volcanic and geothermal systems.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jvolgeores.2012.04.022","usgsCitation":"Vaughan, R.G., Keszthelyi, L., Lowenstern, J.B., Jaworowski, C., and Heasler, H., 2012, Use of ASTER and MODIS thermal infrared data to quantify heat flow and hydrothermal change at Yellowstone National Park: Journal of Volcanology and Geothermal Research, v. 233-234, p. 72-89, https://doi.org/10.1016/j.jvolgeores.2012.04.022.","productDescription":"18 p.","startPage":"72","endPage":"89","ipdsId":"IP-037921","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":263699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Oregon, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.156,44.1324 ], [ -111.156,45.109 ], [ -109.8242,45.109 ], [ -109.8242,44.1324 ], [ -111.156,44.1324 ] ] ] } } ] }","volume":"233-234","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bfbad2e4b01744973f77c2","contributors":{"authors":[{"text":"Vaughan, R. Greg 0000-0002-0850-6669","orcid":"https://orcid.org/0000-0002-0850-6669","contributorId":69030,"corporation":false,"usgs":true,"family":"Vaughan","given":"R.","email":"","middleInitial":"Greg","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":469674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":469672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":469670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaworowski, Cheryl","contributorId":25989,"corporation":false,"usgs":true,"family":"Jaworowski","given":"Cheryl","affiliations":[],"preferred":false,"id":469671,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heasler, Henry","contributorId":62683,"corporation":false,"usgs":true,"family":"Heasler","given":"Henry","affiliations":[],"preferred":false,"id":469673,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041307,"text":"sir20125156 - 2012 - Estimated probability of arsenic in groundwater from bedrock aquifers in New Hampshire, 2011","interactions":[],"lastModifiedDate":"2016-08-10T15:53:54","indexId":"sir20125156","displayToPublicDate":"2012-12-04T00:00:00","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":"2012-5156","title":"Estimated probability of arsenic in groundwater from bedrock aquifers in New Hampshire, 2011","docAbstract":"<p>Probabilities of arsenic occurrence in groundwater from bedrock aquifers at concentrations of 1, 5, and 10 micrograms per liter (&micro;g/L) were estimated during 2011 using multivariate logistic regression. These estimates were developed for use by the New Hampshire Environmental Public Health Tracking Program. About 39 percent of New Hampshire bedrock groundwater was identified as having at least a 50 percent chance of containing an arsenic concentration greater than or equal to 1 &micro;g/L. This compares to about 7 percent of New Hampshire bedrock groundwater having at least a 50 percent chance of containing an arsenic concentration equaling or exceeding 5 &micro;g/L and about 5 percent of the State having at least a 50 percent chance for its bedrock groundwater to contain concentrations at or above 10 &micro;g/L. The southeastern counties of Merrimack, Strafford, Hillsborough, and Rockingham have the greatest potential for having arsenic concentrations above 5 and 10 &micro;g/L in bedrock groundwater.</p>\n<p>Significant predictors of arsenic in groundwater from bedrock aquifers for all three thresholds analyzed included geologic, geochemical, land use, hydrologic, topographic, and demographic factors. Among the three thresholds evaluated, there were some differences in explanatory variables, but many variables were the same. More than 250 individual predictor variables were assembled for this study and tested as potential predictor variables for the models. More than 1,700 individual measurements of arsenic concentration from a combination of public and private water-supply wells served as the dependent (or predicted) variable in the models.</p>\n<p>The statewide maps generated by the probability models are not designed to predict arsenic concentration in any single well, but they are expected to provide useful information in areas of the State that currently contain little to no data on arsenic concentration. They also may aid in resource decision making, in determining potential risk for private wells, and in ecological-level analysis of disease outcomes. The approach for modeling arsenic in groundwater could also be applied to other environmental contaminants that have potential implications for human health, such as uranium, radon, fluoride, manganese, volatile organic compounds, nitrate, and bacteria.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125156","collaboration":"Prepared in cooperation with the New Hampshire Department of Health and Human Services and the New Hampshire Department of Environmental Services","usgsCitation":"Ayotte, J., Cahillane, M., Hayes, L., and Robinson, K.W., 2012, Estimated probability of arsenic in groundwater from bedrock aquifers in New Hampshire, 2011: U.S. Geological Survey Scientific Investigations Report 2012-5156, Report: vi, 25 p.; Geospatial Data, https://doi.org/10.3133/sir20125156.","productDescription":"Report: vi, 25 p.; Geospatial Data","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":263642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5156.gif"},{"id":263592,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5156/"},{"id":263632,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5156/pdf/sir2012-5156_ayotte_508.pdf","text":"Report","size":"2.70 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":263633,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5156/pdf/usgs_nh_as.zip","text":"Geospatial data","size":"122 MB","linkFileType":{"id":6,"text":"zip"},"description":"Geospatial data"}],"country":"United States","state":"New Hampshire","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-72.4521,43.161414],[-72.452556,43.172117],[-72.443405,43.179729],[-72.45028,43.192485],[-72.437719,43.20275],[-72.4405,43.219049],[-72.433796,43.232999],[-72.438937,43.24424],[-72.438693,43.252905],[-72.435221,43.258483],[-72.421583,43.263442],[-72.41545,43.271374],[-72.407842,43.282892],[-72.401666,43.303395],[-72.395462,43.312994],[-72.410353,43.331675],[-72.400981,43.345775],[-72.390103,43.356926],[-72.403949,43.358098],[-72.413377,43.362741],[-72.415978,43.376531],[-72.413154,43.384302],[-72.403811,43.391935],[-72.395659,43.438541],[-72.390567,43.451225],[-72.3925,43.467364],[-72.382951,43.476],[-72.381723,43.480091],[-72.380894,43.493394],[-72.384773,43.500259],[-72.396305,43.508062],[-72.398563,43.513435],[-72.394218,43.5274],[-72.389097,43.528266],[-72.380383,43.54088],[-72.382783,43.562459],[-72.37944,43.574069],[-72.373126,43.579419],[-72.349926,43.587726],[-72.328514,43.600805],[-72.328232,43.606839],[-72.3327,43.610313],[-72.334401,43.61925],[-72.33236,43.62507],[-72.327236,43.630534],[-72.32966,43.634648],[-72.314083,43.64281],[-72.31402,43.656158],[-72.304322,43.669507],[-72.303092,43.678078],[-72.30602,43.683061],[-72.305326,43.69577],[-72.299715,43.706558],[-72.292215,43.711333],[-72.27118,43.734138],[-72.264245,43.734158],[-72.232713,43.748286],[-72.218099,43.765729],[-72.205193,43.770952],[-72.2053,43.784474],[-72.195552,43.791492],[-72.190754,43.800807],[-72.184847,43.804698],[-72.183333,43.808177],[-72.18857,43.821153],[-72.182203,43.834032],[-72.182864,43.845109],[-72.187916,43.856126],[-72.184788,43.863393],[-72.182956,43.865335],[-72.167476,43.86915],[-72.173576,43.87967],[-72.170604,43.886388],[-72.160819,43.887223],[-72.151324,43.901704],[-72.121002,43.918956],[-72.118013,43.923292],[-72.116767,43.933923],[-72.118985,43.943225],[-72.117839,43.946828],[-72.105875,43.94937],[-72.098689,43.95766],[-72.100543,43.962478],[-72.090357,43.965409],[-72.104972,43.96995],[-72.110945,43.966959],[-72.114273,43.967513],[-72.111756,43.984943],[-72.116985,43.99448],[-72.103765,44.002837],[-72.105292,44.012663],[-72.102475,44.014882],[-72.098897,44.015477],[-72.093384,44.01045],[-72.090059,44.009903],[-72.090504,44.012736],[-72.095193,44.016666],[-72.0951,44.021831],[-72.09203,44.024459],[-72.084871,44.021308],[-72.082432,44.022154],[-72.081357,44.028529],[-72.075004,44.032789],[-72.079397,44.039531],[-72.078989,44.042886],[-72.06215,44.049931],[-72.068405,44.054021],[-72.067612,44.058034],[-72.057173,44.058646],[-72.048289,44.069136],[-72.051602,44.075193],[-72.042088,44.077008],[-72.036641,44.073999],[-72.031898,44.076241],[-72.048781,44.087141],[-72.046235,44.089538],[-72.03429,44.090138],[-72.031878,44.093359],[-72.03124,44.100101],[-72.039674,44.103371],[-72.042943,44.097636],[-72.048334,44.096905],[-72.052391,44.101088],[-72.054831,44.110137],[-72.052342,44.119891],[-72.041948,44.125653],[-72.037506,44.124708],[-72.033703,44.131541],[-72.041983,44.137165],[-72.042867,44.151288],[-72.040167,44.157023],[-72.042387,44.160817],[-72.047593,44.161801],[-72.053021,44.167903],[-72.057496,44.179444],[-72.066166,44.189773],[-72.064577,44.196949],[-72.058987,44.202114],[-72.058605,44.208215],[-72.053233,44.216876],[-72.053582,44.22604],[-72.047889,44.238493],[-72.050112,44.244046],[-72.059782,44.256018],[-72.061174,44.263377],[-72.05874,44.270005],[-72.064544,44.267997],[-72.067774,44.270976],[-72.065434,44.277235],[-72.053355,44.290501],[-72.046302,44.291983],[-72.033465,44.301878],[-72.033136,44.320365],[-72.029061,44.322398],[-72.01913,44.320383],[-72.009977,44.321951],[-71.988306,44.329768],[-71.984617,44.336243],[-71.98112,44.3375],[-71.945163,44.337744],[-71.935395,44.33577],[-71.92911,44.337577],[-71.917434,44.346535],[-71.906909,44.348284],[-71.872472,44.336628],[-71.852628,44.340873],[-71.833261,44.350136],[-71.814351,44.354541],[-71.812206,44.357356],[-71.816157,44.367559],[-71.812424,44.372532],[-71.815251,44.374594],[-71.814388,44.381932],[-71.800316,44.384276],[-71.803488,44.39189],[-71.793924,44.399271],[-71.778613,44.399799],[-71.761966,44.407027],[-71.756091,44.406401],[-71.749533,44.401955],[-71.743104,44.401657],[-71.735923,44.410062],[-71.715087,44.41049],[-71.699434,44.416069],[-71.67995,44.427908],[-71.679933,44.434062],[-71.66183,44.440293],[-71.653348,44.460499],[-71.645068,44.460545],[-71.640404,44.464186],[-71.647864,44.469976],[-71.64589,44.475141],[-71.639312,44.477836],[-71.632795,44.48389],[-71.627655,44.484207],[-71.622089,44.481387],[-71.617614,44.485715],[-71.609568,44.484348],[-71.59948,44.486455],[-71.594303,44.500749],[-71.586972,44.498526],[-71.586648,44.502873],[-71.577643,44.502692],[-71.577068,44.504041],[-71.583233,44.508268],[-71.594259,44.52168],[-71.582505,44.524403],[-71.574456,44.53366],[-71.573083,44.53798],[-71.575193,44.540859],[-71.596804,44.553424],[-71.598116,44.555412],[-71.596137,44.560898],[-71.59017,44.565694],[-71.569599,44.562777],[-71.559846,44.564119],[-71.557972,44.570451],[-71.552629,44.569543],[-71.548728,44.571873],[-71.5533,44.576924],[-71.5532,44.580683],[-71.544922,44.579278],[-71.537724,44.584785],[-71.536251,44.588441],[-71.553447,44.593451],[-71.556014,44.601383],[-71.553873,44.607069],[-71.55656,44.616988],[-71.55576,44.624119],[-71.551722,44.627598],[-71.554634,44.632197],[-71.562124,44.63658],[-71.562636,44.639505],[-71.558859,44.640122],[-71.558571,44.644373],[-71.566144,44.653863],[-71.570235,44.650483],[-71.575145,44.650612],[-71.57571,44.654574],[-71.586578,44.659478],[-71.584574,44.665351],[-71.585645,44.669277],[-71.581983,44.673533],[-71.596304,44.679083],[-71.594224,44.683815],[-71.598042,44.692818],[-71.59436,44.695996],[-71.600162,44.698919],[-71.59975,44.705318],[-71.604912,44.70815],[-71.613094,44.718933],[-71.618355,44.72261],[-71.617431,44.72805],[-71.624922,44.729032],[-71.62518,44.743978],[-71.626909,44.747224],[-71.631109,44.748689],[-71.631883,44.752463],[-71.617941,44.755883],[-71.614238,44.758664],[-71.611767,44.764345],[-71.604615,44.767738],[-71.596035,44.775422],[-71.596949,44.778987],[-71.592966,44.782776],[-71.580005,44.78548],[-71.573247,44.791882],[-71.571706,44.79483],[-71.573129,44.797947],[-71.569216,44.808813],[-71.572864,44.810383],[-71.5755,44.816058],[-71.567907,44.823832],[-71.562256,44.824632],[-71.557672,44.834421],[-71.552218,44.837775],[-71.556805,44.848808],[-71.548345,44.85553],[-71.550176,44.861609],[-71.545901,44.866134],[-71.534588,44.869698],[-71.529154,44.873559],[-71.528889,44.876928],[-71.512292,44.890246],[-71.51387,44.894648],[-71.501088,44.904433],[-71.495844,44.90498],[-71.49392,44.910923],[-71.500788,44.914535],[-71.515189,44.927317],[-71.516949,44.939704],[-71.514843,44.958741],[-71.516223,44.964569],[-71.52237,44.966308],[-71.527163,44.973668],[-71.531605,44.976023],[-71.538592,44.988182],[-71.53698,44.994177],[-71.530091,44.999656],[-71.514609,45.003957],[-71.507767,45.00817],[-71.487565,45.000936],[-71.479611,45.002905],[-71.476168,45.009054],[-71.464555,45.013637],[-71.502487,45.013367],[-71.500069,45.014212],[-71.499945,45.026323],[-71.494009,45.034345],[-71.491085,45.043671],[-71.49315,45.045772],[-71.500874,45.04511],[-71.505222,45.048791],[-71.505091,45.051465],[-71.500545,45.051943],[-71.497738,45.054751],[-71.496105,45.065082],[-71.498399,45.069629],[-71.489145,45.072308],[-71.486345,45.078503],[-71.480219,45.081316],[-71.480897,45.08303],[-71.471382,45.084199],[-71.467447,45.086851],[-71.464837,45.093023],[-71.449257,45.104522],[-71.445613,45.113367],[-71.440577,45.114464],[-71.428828,45.123881],[-71.426755,45.129672],[-71.437216,45.142333],[-71.433179,45.149166],[-71.42675,45.153257],[-71.423616,45.161096],[-71.424616,45.165872],[-71.419058,45.170488],[-71.414853,45.184908],[-71.408777,45.18797],[-71.405636,45.198139],[-71.39781,45.203553],[-71.403267,45.215348],[-71.415553,45.218001],[-71.417233,45.221293],[-71.44288,45.234799],[-71.443883,45.237061],[-71.438546,45.239004],[-71.433014,45.237656],[-71.429326,45.234228],[-71.420335,45.232719],[-71.402638,45.242589],[-71.394422,45.241216],[-71.391901,45.237216],[-71.385629,45.233214],[-71.37763,45.244203],[-71.363013,45.248205],[-71.357253,45.253336],[-71.356835,45.257175],[-71.363218,45.266429],[-71.360664,45.269835],[-71.353446,45.268695],[-71.347622,45.272125],[-71.344029,45.271167],[-71.336392,45.273066],[-71.331733,45.279969],[-71.320922,45.282324],[-71.314318,45.287033],[-71.309008,45.287238],[-71.301107,45.296563],[-71.284396,45.302434],[-71.28074,45.295188],[-71.27232,45.296694],[-71.264939,45.293446],[-71.266754,45.29123],[-71.262136,45.276098],[-71.250393,45.269191],[-71.245503,45.26887],[-71.239346,45.261925],[-71.236271,45.261126],[-71.231122,45.249712],[-71.221994,45.253543],[-71.220634,45.251121],[-71.2118,45.250457],[-71.203033,45.254302],[-71.198276,45.254257],[-71.194878,45.250515],[-71.183785,45.244932],[-71.180905,45.239858],[-71.173367,45.246348],[-71.162845,45.250332],[-71.148165,45.242412],[-71.13943,45.242958],[-71.131953,45.245423],[-71.127962,45.253672],[-71.124517,45.25527],[-71.119914,45.262287],[-71.120112,45.265738],[-71.116332,45.272322],[-71.107339,45.278612],[-71.105691,45.282498],[-71.109349,45.282222],[-71.110743,45.284576],[-71.105151,45.294635],[-71.097772,45.301906],[-71.085564,45.305476],[-71.076914,45.246912],[-71.059004,45.004918],[-71.037518,44.755607],[-71.012749,44.340784],[-70.992842,43.916269],[-70.989067,43.79244],[-70.982083,43.715043],[-70.972716,43.570255],[-70.957234,43.561358],[-70.955017,43.554239],[-70.950838,43.551026],[-70.955252,43.540887],[-70.962153,43.541036],[-70.963531,43.536756],[-70.95822,43.531586],[-70.957214,43.524994],[-70.954066,43.52261],[-70.956856,43.512719],[-70.954755,43.509802],[-70.957958,43.508041],[-70.959185,43.499351],[-70.969572,43.486201],[-70.967968,43.480783],[-70.974245,43.47742],[-70.970946,43.4739],[-70.964542,43.473262],[-70.961428,43.469696],[-70.96045,43.466592],[-70.9669,43.450458],[-70.96164,43.443039],[-70.96115,43.438321],[-70.968782,43.434891],[-70.968359,43.429283],[-70.971039,43.425606],[-70.982898,43.419332],[-70.986812,43.414264],[-70.986677,43.403541],[-70.982565,43.39778],[-70.982876,43.394808],[-70.98739,43.393457],[-70.987649,43.389521],[-70.985205,43.386745],[-70.985965,43.380023],[-70.974156,43.362925],[-70.974863,43.357969],[-70.967229,43.343777],[-70.960439,43.341048],[-70.956528,43.334691],[-70.953034,43.333257],[-70.93711,43.337367],[-70.932735,43.33676],[-70.930783,43.329569],[-70.916421,43.320279],[-70.912004,43.319821],[-70.91246,43.308289],[-70.907405,43.304782],[-70.90231,43.304872],[-70.900386,43.301358],[-70.907405,43.293582],[-70.906005,43.291682],[-70.896304,43.285282],[-70.886504,43.282783],[-70.882804,43.273183],[-70.86323,43.265109],[-70.858207,43.256286],[-70.855082,43.255191],[-70.852015,43.256808],[-70.843302,43.254321],[-70.839213,43.251224],[-70.841059,43.249699],[-70.838678,43.242931],[-70.817865,43.237911],[-70.815453,43.229023],[-70.811852,43.228306],[-70.80964,43.225407],[-70.813119,43.217252],[-70.816903,43.214604],[-70.820763,43.19978],[-70.819344,43.193036],[-70.827201,43.189485],[-70.828301,43.186685],[-70.823501,43.174585],[-70.828301,43.168985],[-70.829101,43.157886],[-70.8338,43.146886],[-70.8268,43.127086],[-70.78388,43.100867],[-70.779098,43.095887],[-70.766398,43.092688],[-70.756397,43.079988],[-70.741897,43.077388],[-70.737897,43.073488],[-70.708896,43.074989],[-70.704696,43.070989],[-70.703799,43.059574],[-70.71363,43.056006],[-70.71355,43.042077],[-70.718936,43.03235],[-70.730426,43.025392],[-70.734363,43.013307],[-70.743793,43.008027],[-70.749969,42.991689],[-70.756701,42.991337],[-70.761474,42.986681],[-70.765222,42.975349],[-70.7718,42.968064],[-70.769673,42.964419],[-70.771729,42.961321],[-70.775597,42.957213],[-70.780383,42.955798],[-70.793996,42.93989],[-70.797806,42.930037],[-70.798153,42.920926],[-70.805971,42.916549],[-70.810069,42.909549],[-70.810999,42.892375],[-70.81586,42.88625],[-70.817296,42.87229],[-70.830795,42.868918],[-70.848625,42.860939],[-70.886136,42.88261],[-70.902768,42.88653],[-70.914886,42.886564],[-70.930799,42.884589],[-70.9665,42.868989],[-71.031201,42.859089],[-71.044401,42.848789],[-71.047501,42.844089],[-71.064201,42.806289],[-71.132503,42.821389],[-71.165603,42.808689],[-71.186104,42.790689],[-71.181803,42.73759],[-71.223904,42.746689],[-71.245504,42.742589],[-71.267905,42.72589],[-71.278929,42.711258],[-71.294205,42.69699],[-71.981402,42.713294],[-72.458519,42.726853],[-72.461001,42.733209],[-72.473071,42.745916],[-72.477615,42.761245],[-72.484878,42.76554],[-72.491122,42.772465],[-72.497949,42.772918],[-72.50069,42.767657],[-72.507985,42.764414],[-72.513105,42.763822],[-72.516082,42.765949],[-72.514836,42.771436],[-72.508372,42.77461],[-72.508858,42.779919],[-72.515838,42.78856],[-72.542784,42.808482],[-72.54855,42.842021],[-72.557247,42.853019],[-72.554232,42.860038],[-72.556214,42.86695],[-72.552834,42.884968],[-72.540708,42.889379],[-72.532777,42.896076],[-72.530218,42.911576],[-72.52443,42.915575],[-72.527431,42.943148],[-72.534554,42.949894],[-72.532186,42.954945],[-72.518422,42.96317],[-72.492597,42.967648],[-72.481706,42.973985],[-72.473827,42.972045],[-72.461627,42.982906],[-72.465335,42.989558],[-72.46294,42.996943],[-72.456936,43.001306],[-72.448714,43.001169],[-72.443762,43.006245],[-72.444635,43.010566],[-72.457035,43.017285],[-72.462397,43.02556],[-72.460252,43.040671],[-72.465896,43.047505],[-72.467363,43.052648],[-72.463812,43.057404],[-72.445202,43.071352],[-72.435316,43.083536],[-72.435191,43.086622],[-72.443051,43.100841],[-72.440587,43.106145],[-72.433129,43.112637],[-72.432972,43.119655],[-72.442933,43.130192],[-72.44078,43.131472],[-72.440905,43.135793],[-72.451986,43.138924],[-72.45689,43.146558],[-72.45714,43.148493],[-72.451802,43.153486],[-72.4521,43.161414]]]},\"properties\":{\"name\":\"New Hampshire\",\"nation\":\"USA  \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bfb93ee4b01744973f779e","contributors":{"authors":[{"text":"Ayotte, Joseph D. jayotte@usgs.gov","contributorId":1802,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph D.","email":"jayotte@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":469509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cahillane, Matthew","contributorId":90615,"corporation":false,"usgs":true,"family":"Cahillane","given":"Matthew","affiliations":[],"preferred":false,"id":469512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Laura 0000-0002-4488-1343 lhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-1343","contributorId":2791,"corporation":false,"usgs":true,"family":"Hayes","given":"Laura","email":"lhayes@usgs.gov","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Keith W. kwrobins@usgs.gov","contributorId":2969,"corporation":false,"usgs":true,"family":"Robinson","given":"Keith","email":"kwrobins@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":469511,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041363,"text":"70041363 - 2012 - Hydrate morphology: Physical properties of sands with patchy hydrate saturation","interactions":[],"lastModifiedDate":"2013-03-14T11:05:33","indexId":"70041363","displayToPublicDate":"2012-12-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Hydrate morphology: Physical properties of sands with patchy hydrate saturation","docAbstract":"The physical properties of gas hydrate-bearing sediments depend on the volume fraction and spatial distribution of the hydrate phase. The host sediment grain size and the state of effective stress determine the hydrate morphology in sediments; this information can be used to significantly constrain estimates of the physical properties of hydrate-bearing sediments, including the coarse-grained sands subjected to high effective stress that are of interest as potential energy resources. Reported data and physical analyses suggest hydrate-bearing sands contain a heterogeneous, patchy hydrate distribution, whereby zones with 100% pore-space hydrate saturation are embedded in hydrate-free sand. Accounting for patchy rather than homogeneous hydrate distribution yields more tightly constrained estimates of physical properties in hydrate-bearing sands and captures observed physical-property dependencies on hydrate saturation. For example, numerical modeling results of sands with patchy saturation agree with experimental observation, showing a transition in stiffness starting near the series bound at low hydrate saturations but moving toward the parallel bound at high hydrate saturations. The hydrate-patch size itself impacts the physical properties of hydrate-bearing sediments; for example, at constant hydrate saturation, we find that conductivity (electrical, hydraulic and thermal) increases as the number of hydrate-saturated patches increases. This increase reflects the larger number of conductive flow paths that exist in specimens with many small hydrate-saturated patches in comparison to specimens in which a few large hydrate saturated patches can block flow over a significant cross-section of the specimen.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012JB009667","usgsCitation":"Dai, S., Santamarina, J., Waite, W., and Kneafsey, T., 2012, Hydrate morphology: Physical properties of sands with patchy hydrate saturation: Journal of Geophysical Research B: Solid Earth, v. 117, no. B11, https://doi.org/10.1029/2012JB009667.","productDescription":"12 p.","startPage":"B11205","numberOfPages":"12","ipdsId":"IP-038897","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474224,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/5635","text":"External Repository"},{"id":263661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263659,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012JB009667"}],"volume":"117","issue":"B11","noUsgsAuthors":false,"publicationDate":"2012-11-14","publicationStatus":"PW","scienceBaseUri":"50bfb97ee4b01744973f77a2","contributors":{"authors":[{"text":"Dai, S.","contributorId":9757,"corporation":false,"usgs":true,"family":"Dai","given":"S.","email":"","affiliations":[],"preferred":false,"id":469623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Santamarina, J.C.","contributorId":50283,"corporation":false,"usgs":true,"family":"Santamarina","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":469625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":469622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kneafsey, T.J.","contributorId":40330,"corporation":false,"usgs":true,"family":"Kneafsey","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":469624,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041359,"text":"sir20125246 - 2012 - Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10","interactions":[{"subject":{"id":99012,"text":"sir20105239 - 2011 - Effects of Simulated Land-Use Changes on Water Quality of Lake Maumelle, Arkansas","indexId":"sir20105239","publicationYear":"2011","noYear":false,"title":"Effects of Simulated Land-Use Changes on Water Quality of Lake Maumelle, Arkansas"},"predicate":"SUPERSEDED_BY","object":{"id":70041359,"text":"sir20125246 - 2012 - Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10","indexId":"sir20125246","publicationYear":"2012","noYear":false,"title":"Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10"},"id":1}],"lastModifiedDate":"2012-12-04T11:23:00","indexId":"sir20125246","displayToPublicDate":"2012-12-04T00:00:00","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":"2012-5246","title":"Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10","docAbstract":"Lake Maumelle, located in central Arkansas northwest of the cities of Little Rock and North Little Rock, is one of two principal drinking-water supplies for the Little Rock, and North Little Rock, Arkansas, metropolitan areas. Lake Maumelle and the Maumelle River (its primary tributary) are more pristine than most other reservoirs and streams in the region with 80 percent of the land area in the entire watershed being forested. However, as the Lake Maumelle watershed becomes increasingly more urbanized and timber harvesting becomes more extensive, concerns about the sustainability of the quality of the water supply also have increased.\n\nTwo hydrodynamic and water-quality models were developed to examine the hydrology and water quality in the Lake Maumelle watershed and changes that might occur as the watershed becomes more urbanized and timber harvesting becomes more extensive. A Hydrologic Simulation Program–FORTRAN watershed model was developed using continuous streamflow and discreet suspended-sediment and water-quality data collected from January 2004 through 2010. A CE–QUAL–W2 model was developed to simulate reservoir hydrodynamics and selected water-quality characteristics using the simulated output from the Hydrologic Simulation Program–FORTRAN model from January 2004 through 2010.\n\nThe calibrated Hydrologic Simulation Program–FORTRAN model and the calibrated CE–QUAL–W2 model were developed to simulate three land-use scenarios and to examine the potential effects of these land-use changes, as defined in the model, on the water quality of Lake Maumelle during the 2004 through 2010 simulation period. These scenarios included a scenario that simulated conversion of most land in the watershed to forest (scenario 1), a scenario that simulated conversion of potentially developable land to low-intensity urban land use in part of the watershed (scenario 2), and a scenario that simulated timber harvest in part of the watershed (scenario 3). Simulated land-use changes for scenarios 1 and 3 resulted in little (generally less than 10 percent) overall effect on the simulated water quality in the Hydrologic Simulation Program–FORTRAN model. The land-use change of scenario 2 affected subwatersheds that include Bringle, Reece, and Yount Creek tributaries and most other subwatersheds that drain into the northern side of Lake Maumelle; large percent increases in loading rates (generally between 10 and 25 percent) included dissolved nitrite plus nitrate nitrogen, dissolved orthophosphate, total phosphorus, suspended sediment, dissolved ammonia nitrogen, total organic carbon, and fecal coliform bacteria.\n\nFor scenario 1, the simulated changes in nutrient, suspended sediment, and total organic carbon loads from the Hydrologic Simulation Program–FORTRAN model resulted in very slight (generally less than 10 percent) changes in simulated water quality for Lake Maumelle, relative to the baseline condition. Following lake mixing in the falls of 2006 and 2007, phosphorus and nitrogen concentrations were higher than the baseline condition and chlorophyll a responded accordingly. The increased nutrient and chlorophyll a concentrations in late October and into 2007 were enough to increase concentrations, on average, for the entire simulation period (2004–10). For scenario 2, the simulated changes in nutrient, suspended sediment, total organic carbon, and fecal coliform bacteria loads from the Lake Maumelle watershed resulted in slight changes in simulated water quality for Lake Maumelle, relative to the baseline condition (total nitrogen decreased by 0.01 milligram per liter; dissolved orthophosphate increased by 0.001 milligram per liter; chlorophyll a decreased by 0.1 microgram per liter). The differences in these concentrations are approximately an order of magnitude less than the error between measured and simulated concentrations in the baseline model. During the driest summer in the simulation period (2006), phosphorus and nitrogen concentrations were lower than the baseline condition and chlorophyll a concentrations decreased during the same summer season. The decrease in nitrogen and chlorophyll a concentrations during the dry summer in 2006 was enough to decrease concentrations of these constituents very slightly, on average, for the entire simulation period (2004–10). For scenario 3, the changes in simulated nutrient, suspended sediment, total organic carbon, and fecal coliform bacteria loads from Lake Maumelle watershed resulted in very slight changes in simulated water quality within Lake Maumelle, relative to the baseline condition, for most of the reservoir.\n\nAmong the implications of the results of the modeling described in this report are those related to scale in both space and time. Spatial scales include limited size and location of land-use changes, their effects on loading rates, and resultant effects on water quality of Lake Maumelle. Temporally, the magnitude of the water-quality changes simulated by the land-use change scenarios over the 7-year period (2004–10) are not necessarily indicative of the changes that could be expected to occur with similar land-use changes persisting over a 20-, 30-, or 40- year period, for example. These implications should be tempered by realization of the described model limitations.\n\nThe Hydrologic Simulation Program–FORTRAN watershed model was calibrated to streamflow and water-quality data from five streamflow-gaging stations, and in general, these stations characterize a range of subwatershed areas with varying land-use types. The CE–QUAL–W2 reservoir model was calibrated to water-quality data collected during January 2004 through December 2010 at three reservoir stations, representing the upper, middle, and lower sections of the reservoir.\n\nIn general, the baseline simulation for the Hydrologic Simulation Program–FORTRAN and the CE–QUAL–W2 models matched reasonably well to the measured data. Simulated and measured suspended-sediment concentrations during periods of base flow (streamflows not substantially influenced by runoff) agree reasonably well for Maumelle River at Williams Junction, the station representing the upper end of the watershed (with differences—simulated minus measured value—generally ranging from -15 to 41 milligrams per liter, and percent difference—relative to the measured value—ranging from -99 to 182 percent) and Maumelle River near Wye, the station just above the reservoir at the lower end (differences generally ranging from -20 to 22 milligrams per liter, and percent difference ranging from -100 to 194 percent). In general, water temperature and dissolved-oxygen concentration simulations followed measured seasonal trends for all stations with the largest differences occurring during periods of lowest temperatures or during the periods of lowest measured dissolved-oxygen concentrations.\n\nFor the CE–QUAL–W2 model, simulated vertical distributions of water temperatures and dissolved-oxygen concentrations agreed with measured vertical distributions over time, even for the most complex water-temperature profiles. Considering the oligotrophic-mesotrophic (low to intermediate primary productivity and associated low nutrient concentrations) condition of Lake Maumelle, simulated algae, phosphorus, and nitrogen concentrations compared well with generally low measured concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125246","collaboration":"Prepared in cooperation with Central Arkansas Water","usgsCitation":"Hart, R.M., Green, W.R., Westerman, D.A., Petersen, J., and DeLanois, J.L., 2012, Simulated effects of hydrologic, water quality, and land-use changes of the Lake Maumelle watershed, Arkansas, 2004–10: U.S. Geological Survey Scientific Investigations Report 2012-5246, ix, 119 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125246.","productDescription":"ix, 119 p.; col. ill.; maps (col.)","startPage":"i","endPage":"119","numberOfPages":"132","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":263666,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5246.gif"},{"id":263664,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5246/"},{"id":263665,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5246/sir2012-5246.pdf"}],"country":"United States","state":"Arkansas","otherGeospatial":"Lake Maumelle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.62,33.0 ], [ -94.62,36.5 ], [ -89.65,36.5 ], [ -89.65,33.0 ], [ -94.62,33.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bfba04e4b01744973f77ae","contributors":{"authors":[{"text":"Hart, Rheannon M. 0000-0003-4657-5945 rmhart@usgs.gov","orcid":"https://orcid.org/0000-0003-4657-5945","contributorId":5516,"corporation":false,"usgs":true,"family":"Hart","given":"Rheannon","email":"rmhart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, W. Reed","contributorId":87886,"corporation":false,"usgs":true,"family":"Green","given":"W.","email":"","middleInitial":"Reed","affiliations":[],"preferred":false,"id":469614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westerman, Drew A. 0000-0002-8522-776X dawester@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-776X","contributorId":4526,"corporation":false,"usgs":true,"family":"Westerman","given":"Drew","email":"dawester@usgs.gov","middleInitial":"A.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen, James C. petersen@usgs.gov","contributorId":2437,"corporation":false,"usgs":true,"family":"Petersen","given":"James C.","email":"petersen@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":469610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeLanois, Jeanne L.","contributorId":58531,"corporation":false,"usgs":true,"family":"DeLanois","given":"Jeanne","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469613,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041306,"text":"ds733 - 2012 - Seasonal variability in the surface sediments of Mobile Bay, Alabama, recorded by geochemistry and foraminifera, 2009–2010","interactions":[],"lastModifiedDate":"2012-12-03T08:22:14","indexId":"ds733","displayToPublicDate":"2012-12-03T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"733","title":"Seasonal variability in the surface sediments of Mobile Bay, Alabama, recorded by geochemistry and foraminifera, 2009–2010","docAbstract":"A study was undertaken in order to document and quantify recent environmental change in Mobile Bay, Alabama. The study was part of the Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazard Susceptibility project, a regional project funded by the Coastal and Marine Geology Program to understand how natural forcings and anthropogenic modifications influence coastal ecosystems and their susceptibility to coastal hazards. Mobile Bay is a large drowned-river estuary that has been modified significantly by humans to accommodate the Port of Mobile. Examples include repeated dredging of a large shipping channel down the central axis of the bay and construction of a causeway across the head of the bay and at the foot of the bayhead delta. In addition to modifications, the bay is also known to have episodic periods of low oxygen (hypoxia) that result in significant mortality to fish and benthic organisms (May, 1973). For this study a series of surface sediment samples were collected. Surface benthic foraminiferal and bulk geochemical data provide the modern baseline conditions of the bay and can be used as a reference to changing environmental parameters in the past (Osterman and Smith, in press) and into the future. This report archives data collected as part of the Mobile Bay Study that may be used in future environmental change studies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds733","usgsCitation":"Umberger, D., Osterman, L., Smith, C., Frazier, J., and Richwine, K., 2012, Seasonal variability in the surface sediments of Mobile Bay, Alabama, recorded by geochemistry and foraminifera, 2009–2010: U.S. Geological Survey Data Series 733, iii, 25 p., https://doi.org/10.3133/ds733.","productDescription":"iii, 25 p.","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":263591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_733.jpg"},{"id":263589,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/733/"},{"id":263590,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/733/pdf/ds733.pdf"}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.166667,30.166667 ], [ -88.166667,30.666667 ], [ -87.666667,30.666667 ], [ -87.666667,30.166667 ], [ -88.166667,30.166667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bd12eee4b069d93eefc4b6","contributors":{"authors":[{"text":"Umberger, D.K.","contributorId":13356,"corporation":false,"usgs":true,"family":"Umberger","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":469504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osterman, L.E.","contributorId":53836,"corporation":false,"usgs":true,"family":"Osterman","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":469506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, C.G.","contributorId":105947,"corporation":false,"usgs":true,"family":"Smith","given":"C.G.","email":"","affiliations":[],"preferred":false,"id":469508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frazier, J.","contributorId":88439,"corporation":false,"usgs":true,"family":"Frazier","given":"J.","email":"","affiliations":[],"preferred":false,"id":469507,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richwine, K.A.","contributorId":15906,"corporation":false,"usgs":true,"family":"Richwine","given":"K.A.","affiliations":[],"preferred":false,"id":469505,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042214,"text":"70042214 - 2012 - 3-D reconstructions of subsurface Pleistocene basalt flows from paleomagnetic inclination data and <sup>40</sup>Ar/<sup>39</sup>Ar ages in the southern part of the Idaho National Laboratory (INL), Idaho (USA)","interactions":[],"lastModifiedDate":"2020-09-03T15:17:24.593109","indexId":"70042214","displayToPublicDate":"2012-12-01T14:45:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"3-D reconstructions of subsurface Pleistocene basalt flows from paleomagnetic inclination data and <sup>40</sup>Ar/<sup>39</sup>Ar ages in the southern part of the Idaho National Laboratory (INL), Idaho (USA)","docAbstract":"<p>The U. S. Geological Survey, in cooperation with the U.S. Department of Energy, is mapping the distribution of basalt flows and sedimentary interbeds at the Idaho National Laboratory in three dimensions to provide data for refining numerical models of groundwater flow and contaminant transport in the eastern Snake River Plain aquifer. Paleomagnetic inclination and polarity data from basalt samples from 47 coreholes are being used to create a three-dimensional (3-D) model of the subsurface of the southern part of the INL. Surface and sub-surface basalt flows can be identified in individual cores and traced in three dimensions on the surface and in the subsurface for distances of more than 20 km using a combination of paleomagnetic, stratigraphic, and <sup>40</sup>Ar/<sup>39</sup>Ar data. Eastern Snake River Plain olivine tholeiite basalts have K<sub>2</sub>O contents of 0.2 to 1.0 weight per cent. In spite of the low-K content, high-precision <sup>40</sup>Ar/<sup>39</sup>Ar ages were obtained by applying a protocol that employs short irradiation times (minimizing interferences from Ca derived <sup>36</sup>Ar), frequent measurement of various size atmospheric Ar pipettes to monitor and correct for temporal variation, and signal size dependent nonlinearity in spectrometer mass bias, resulting in age dates with resolution generally between 2 to 10% of the age. 3-D models of subsurface basalt flows are being used to: (1) Estimate eruption volumes; (2) locate the approximate vent areas and extent of sub-surface flows; and (3) Help locate high and low transmissivity zones. Results indicate that large basalt eruptions (&gt;3 km<sup>3</sup>) occurred at and near the Central Facilities Area between 637 ka and 360 ka; at and near the Radioactive Waste Management Complex before 540 ka; and north of the Naval Reactors Facility at about 580 ka. Since about 360 ka, large basalt flows have erupted along the Arco-Big Southern Butte Volcanic Rift Zone and the Axial Volcanic Zone, and flowed northerly towards the Central Facilities Area. Basalt eruptions shifted the course of the Big Lost River from a more southerly course to its present one.</p>","conferenceTitle":"American Geophysical Union, Fall Meeting","language":"English","publisher":"American Geophysical Union","usgsCitation":"Hodges, M., Champion, D.E., Turrin, B.D., and Swisher, C.C., 2012, 3-D reconstructions of subsurface Pleistocene basalt flows from paleomagnetic inclination data and <sup>40</sup>Ar/<sup>39</sup>Ar ages in the southern part of the Idaho National Laboratory (INL), Idaho (USA), American Geophysical Union, Fall Meeting, HTML Document.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042382","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":310830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":310829,"rank":1,"type":{"id":1,"text":"Abstract"},"url":"https://abstractsearch.agu.org/meetings/2012/FM/V13B-2841.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.0835494995117,\n              43.48892214178582\n            ],\n            [\n              -111.99789047241211,\n              43.48892214178582\n            ],\n            [\n              -111.99789047241211,\n              43.539215993938164\n            ],\n            [\n              -112.0835494995117,\n              43.539215993938164\n            ],\n            [\n              -112.0835494995117,\n              43.48892214178582\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563494aee4b048076347fb85","contributors":{"authors":[{"text":"Hodges, Mary K. V. 0000-0001-8708-0354 mkhodges@usgs.gov","orcid":"https://orcid.org/0000-0001-8708-0354","contributorId":3023,"corporation":false,"usgs":true,"family":"Hodges","given":"Mary K. V.","email":"mkhodges@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":578785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":578786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turrin, B. D.","contributorId":32548,"corporation":false,"usgs":true,"family":"Turrin","given":"B.","middleInitial":"D.","affiliations":[],"preferred":false,"id":516098,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swisher, C. C. III","contributorId":39139,"corporation":false,"usgs":true,"family":"Swisher","given":"C.","suffix":"III","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":516095,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70103847,"text":"70103847 - 2012 - Priorities for IOOS<sup>®</sup> Data Management and Communications (DMAC)","interactions":[],"lastModifiedDate":"2014-05-28T13:53:18","indexId":"70103847","displayToPublicDate":"2012-12-01T13:29:00","publicationYear":"2012","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Priorities for IOOS<sup>®</sup> Data Management and Communications (DMAC)","docAbstract":"Dramatic increases in the volume of online data and rapid advances in information technology have transformed many aspects of our society. In the coastal ocean, the amount of data is also growing dramatically due to new sensor and modeling technologies. Lagging behind this deluge of ocean data, however, is an effective framework of standards, protocols, tools and culture needed to transform the way we generate knowledge and value from ocean data. The Data Management and Communications (DMAC) sub-system was envisioned to provide such an information management capability for IOOS®, promoting standards and policies to be implemented by data providers across the IOOS enterprise. DMAC needs to build upon the successes and lessons learned during development of web service standards and promote a set of end-to-end standards and procedures for the entire ocean-data life cycle, including documentation through metadata, quality control and quality assurance, effective data discovery, and stewardship through archiving. Because information technology is constantly changing, a multiyear, top-down design and implementation plan is not workable. DMAC should start by promoting a set of protocols that are functional for specific use cases, creating a modular framework in which modules can be replaced as technologies change. In addition to promoting protocols, DMAC needs to support training, flexible online documentation, support, and social networking that enable users to share code, techniques and experiences. Through this bottom-up approach, trust and understanding will foster adoption by the community. Finally, a compliance and certification process should be developed that allows IOOS to ensure that they meet the needs of customers and other stakeholders while complying with regulatory requirements related to the data. If this approach is followed, we will enable breakthroughs in ocean data–driven technology similar to those common elsewhere in our society, fulfilling the broader mission of IOOS.","conferenceTitle":"U.S. Integrated Ocean Observing System (IOOS) Summit","conferenceDate":"2012-11-13T00:00:00","conferenceLocation":"Herdon, VA","language":"English","publisher":"Interagency Ocean Observation Committee","usgsCitation":"Alexander, C., Thomas, J., Benedict, K., Johnson, W., Morrison, R., Andrechik, J., Stabenau, E., Gierach, M., Casey, K., Signell, R.P., Norris, H., Proctor, R., Kirby, K., Snowden, D., de La Beaujardière, J., Howlett, E., Uczekaj, S., Narasimhan, K., Key, E., Trice, M., and Fredericks, J., 2012, Priorities for IOOS<sup>®</sup> Data Management and Communications (DMAC), 5 p.","productDescription":"5 p.","numberOfPages":"5","ipdsId":"IP-042941","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":287686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287679,"type":{"id":15,"text":"Index Page"},"url":"https://www.iooc.us/summit/white-paper-submissions/community-white-paper-submissions/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53870571e4b0aa26cd7b53eb","contributors":{"authors":[{"text":"Alexander, Corrine","contributorId":51902,"corporation":false,"usgs":true,"family":"Alexander","given":"Corrine","email":"","affiliations":[],"preferred":false,"id":493486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Joan","contributorId":42395,"corporation":false,"usgs":false,"family":"Thomas","given":"Joan","email":"","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":493484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benedict, K.","contributorId":21465,"corporation":false,"usgs":true,"family":"Benedict","given":"K.","email":"","affiliations":[],"preferred":false,"id":493475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, W.","contributorId":39193,"corporation":false,"usgs":true,"family":"Johnson","given":"W.","email":"","affiliations":[],"preferred":false,"id":493482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morrison, R.","contributorId":39953,"corporation":false,"usgs":true,"family":"Morrison","given":"R.","affiliations":[],"preferred":false,"id":493483,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andrechik, J.","contributorId":21863,"corporation":false,"usgs":true,"family":"Andrechik","given":"J.","email":"","affiliations":[],"preferred":false,"id":493476,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stabenau, E.","contributorId":59727,"corporation":false,"usgs":true,"family":"Stabenau","given":"E.","affiliations":[],"preferred":false,"id":493487,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gierach, M.","contributorId":17536,"corporation":false,"usgs":true,"family":"Gierach","given":"M.","affiliations":[],"preferred":false,"id":493473,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Casey, K.","contributorId":102800,"corporation":false,"usgs":true,"family":"Casey","given":"K.","email":"","affiliations":[],"preferred":false,"id":493491,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Signell, Richard P. rsignell@usgs.gov","contributorId":1435,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":493471,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Norris, H.","contributorId":62526,"corporation":false,"usgs":true,"family":"Norris","given":"H.","email":"","affiliations":[],"preferred":false,"id":493488,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Proctor, R.","contributorId":34829,"corporation":false,"usgs":true,"family":"Proctor","given":"R.","email":"","affiliations":[],"preferred":false,"id":493479,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kirby, K.","contributorId":20259,"corporation":false,"usgs":true,"family":"Kirby","given":"K.","email":"","affiliations":[],"preferred":false,"id":493474,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Snowden, D.","contributorId":26229,"corporation":false,"usgs":true,"family":"Snowden","given":"D.","email":"","affiliations":[],"preferred":false,"id":493477,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"de La Beaujardière, J.","contributorId":17435,"corporation":false,"usgs":true,"family":"de La Beaujardière","given":"J.","affiliations":[],"preferred":false,"id":493472,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Howlett, E.","contributorId":71891,"corporation":false,"usgs":true,"family":"Howlett","given":"E.","affiliations":[],"preferred":false,"id":493490,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Uczekaj, S.","contributorId":35239,"corporation":false,"usgs":true,"family":"Uczekaj","given":"S.","email":"","affiliations":[],"preferred":false,"id":493480,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Narasimhan, K.","contributorId":65389,"corporation":false,"usgs":true,"family":"Narasimhan","given":"K.","email":"","affiliations":[],"preferred":false,"id":493489,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Key, E.","contributorId":49708,"corporation":false,"usgs":true,"family":"Key","given":"E.","email":"","affiliations":[],"preferred":false,"id":493485,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Trice, M.","contributorId":28169,"corporation":false,"usgs":true,"family":"Trice","given":"M.","email":"","affiliations":[],"preferred":false,"id":493478,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Fredericks, J.","contributorId":35240,"corporation":false,"usgs":true,"family":"Fredericks","given":"J.","email":"","affiliations":[],"preferred":false,"id":493481,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70044610,"text":"70044610 - 2012 - Walrus distributional and foraging response to changing ice and benthic conditions in the Chukchi Sea","interactions":[],"lastModifiedDate":"2018-06-16T17:52:27","indexId":"70044610","displayToPublicDate":"2012-12-01T13:17:57","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":195,"text":"North Pacific Research Board Project Final Report","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"818","title":"Walrus distributional and foraging response to changing ice and benthic conditions in the Chukchi Sea","docAbstract":"Arctic species such as the Pacific walrus (<i>Odobenus rosmarus divergens</i>) are facing a rapidly changing \nenvironment. Walruses are benthic foragers and may shift their spatial patterns of foraging in response to \nchanges in prey distribution. We used data from satellite radio-tags attached to walruses in 2009-2010 to \nmap walrus foraging locations with concurrent sampling of benthic infauna to examine relationships \nbetween distributions of dominant walrus prey and spatial patterns of walrus foraging. Walrus foraging \nwas concentrated offshore in the NE Chukchi Sea, and coastal areas of northwestern Alaska when sea ice \nwas sparse. Walrus foraging areas in August-September were coincident with the biomass of two \ndominant bivalve taxa (Tellinidae and Nuculidae) and sipunculid worms. Walrusforaging costs \nassociated with increased travel time to higher biomass food patches from land may be significantly \nhigher than the costs from sea ice haul-outs and result in reduced energy storesin walruses. Identifying \nwhat resources are selected by walruses and how those resources are distributed in space and time will \nimprove our ability to forecast how walruses might respond to a changing climate.","language":"English","publisher":"North Pacific Research Board","usgsCitation":"Jay, C.V., Grebmeier, J.M., and Fischbach, A.S., 2012, Walrus distributional and foraging response to changing ice and benthic conditions in the Chukchi Sea: North Pacific Research Board Project Final Report 818, 32 p.","productDescription":"32 p.","numberOfPages":"32","additionalOnlineFiles":"Y","ipdsId":"IP-043249","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":281100,"type":{"id":15,"text":"Index Page"},"url":"https://project.nprb.org/view.jsp?id=07d2ebd6-93ac-462a-b907-ae4085c5bed5"},{"id":281105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia;United States","otherGeospatial":"Chukchi Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 150.0,55.0 ], [ 150.0,75.0 ], [ -130.0,75.0 ], [ -130.0,55.0 ], [ 150.0,55.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7b45e4b0b2908510e095","contributors":{"authors":[{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":475998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grebmeier, Jacqueline M.","contributorId":48815,"corporation":false,"usgs":false,"family":"Grebmeier","given":"Jacqueline","email":"","middleInitial":"M.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":475999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":2865,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony","email":"afischbach@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":475997,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70129120,"text":"70129120 - 2012 - Description of the U.S. Geological Survey Geo Data Portal data integration framework","interactions":[],"lastModifiedDate":"2014-10-17T11:55:02","indexId":"70129120","displayToPublicDate":"2012-12-01T11:51:58","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1942,"text":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Description of the U.S. Geological Survey Geo Data Portal data integration framework","docAbstract":"The U.S. Geological Survey has developed an open-standard data integration framework for working efficiently and effectively with large collections of climate and other geoscience data. A web interface accesses catalog datasets to find data services. Data resources can then be rendered for mapping and dataset metadata are derived directly from these web services. Algorithm configuration and information needed to retrieve data for processing are passed to a server where all large-volume data access and manipulation takes place. The data integration strategy described here was implemented by leveraging existing free and open source software. Details of the software used are omitted; rather, emphasis is placed on how open-standard web services and data encodings can be used in an architecture that integrates common geographic and atmospheric data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Institute of Electrical and Electronics Engineers","publisherLocation":"New York, NY","doi":"10.1109/JSTARS.2012.2196759","usgsCitation":"Blodgett, D.L., Booth, N., Kunicki, T.C., Walker, J.I., and Lucido, J., 2012, Description of the U.S. Geological Survey Geo Data Portal data integration framework: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 5, no. 6, p. 1687-1691, https://doi.org/10.1109/JSTARS.2012.2196759.","productDescription":"5 p.","startPage":"1687","endPage":"1691","numberOfPages":"5","ipdsId":"IP-034402","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":295456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295455,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/JSTARS.2012.2196759"}],"volume":"5","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54422f9ce4b0192a5a42f3d2","contributors":{"authors":[{"text":"Blodgett, David L. 0000-0001-9489-1710 dblodgett@usgs.gov","orcid":"https://orcid.org/0000-0001-9489-1710","contributorId":3868,"corporation":false,"usgs":true,"family":"Blodgett","given":"David","email":"dblodgett@usgs.gov","middleInitial":"L.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":503440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Booth, Nathaniel L. nlbooth@usgs.gov","contributorId":651,"corporation":false,"usgs":true,"family":"Booth","given":"Nathaniel L.","email":"nlbooth@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":503439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kunicki, Thomas C. tkunicki@usgs.gov","contributorId":4609,"corporation":false,"usgs":true,"family":"Kunicki","given":"Thomas","email":"tkunicki@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":503442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Jordan I. 0000-0003-2226-3373 jiwalker@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-3373","contributorId":4608,"corporation":false,"usgs":true,"family":"Walker","given":"Jordan","email":"jiwalker@usgs.gov","middleInitial":"I.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":503441,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lucido, Jessica M. jlucido@usgs.gov","contributorId":4695,"corporation":false,"usgs":true,"family":"Lucido","given":"Jessica M.","email":"jlucido@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":503443,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70118262,"text":"70118262 - 2012 - Assessment of boreal forest historical C dynamics in the Yukon River Basin: relative roles of warming and fire regime change","interactions":[],"lastModifiedDate":"2014-07-28T10:25:11","indexId":"70118262","displayToPublicDate":"2012-12-01T10:21:09","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":"Assessment of boreal forest historical C dynamics in the Yukon River Basin: relative roles of warming and fire regime change","docAbstract":"Carbon (C) dynamics of boreal forest ecosystems have substantial implications for efforts to mitigate the rise of atmospheric CO<sub>2</sub> and may be substantially influenced by warming and changing wildfire regimes. In this study we applied a large-scale ecosystem model that included dynamics of organic soil horizons and soil organic matter characteristics of multiple pools to assess forest C stock changes of the Yukon River Basin (YRB) in Alaska, USA, and Canada from 1960 through 2006, a period characterized by substantial climate warming and increases in wildfire. The model was calibrated for major forests with data from long-term research sites and evaluated using a forest inventory database. The regional assessment indicates that forest vegetation C storage increased by 46 Tg C, but that total soil C storage did not change appreciably during this period. However, further analysis suggests that C has been continuously lost from the mineral soil horizon since warming began in the 1970s, but has increased in the amorphous organic soil horizon. Based on a factorial experiment, soil C stocks would have increased by 158 Tg C if the YRB had not undergone warming and changes in fire regime. The analysis also identified that warming and changes in fire regime were approximately equivalent in their effects on soil C storage, and interactions between these two suggests that the loss of organic horizon thickness associated with increases in wildfire made deeper soil C stocks more vulnerable to loss via decomposition. Subbasin analyses indicate that C stock changes were primarily sensitive to the fraction of burned forest area within each subbasin and that boreal forest ecosystems in the YRB are currently transitioning from being sinks to sources at ∼0.7% annual area burned. We conclude that it is important for international mitigation efforts focused on controlling atmospheric CO<sub>2</sub> to consider how climate warming and changes in fire regime may concurrently affect the CO<sub>2</sub> sink strength of boreal forests. It is also important for large-scale biogeochemical and earth system models to include organic soil dynamics in applications to assess regional C dynamics of boreal forests responding to warming and changes in fire regime.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Tempe, AZ","doi":"10.1890/11-1957.1","usgsCitation":"Yuan, F., Yi, S., McGuire, A., Johnson, K., Liang, J., Harden, J., Kasischke, E., and Kurz, W., 2012, Assessment of boreal forest historical C dynamics in the Yukon River Basin: relative roles of warming and fire regime change: Ecological Applications, v. 22, no. 8, p. 2091-2109, https://doi.org/10.1890/11-1957.1.","productDescription":"19 p.","startPage":"2091","endPage":"2109","numberOfPages":"19","costCenters":[],"links":[{"id":291115,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291114,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-1957.1"}],"volume":"22","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f428e4b0bc0bec0a0dfb","contributors":{"authors":[{"text":"Yuan, F.M.","contributorId":64165,"corporation":false,"usgs":true,"family":"Yuan","given":"F.M.","email":"","affiliations":[],"preferred":false,"id":496625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yi, S.H.","contributorId":38481,"corporation":false,"usgs":true,"family":"Yi","given":"S.H.","email":"","affiliations":[],"preferred":false,"id":496622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":496621,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, K.D.","contributorId":92932,"corporation":false,"usgs":true,"family":"Johnson","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":496627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liang, J.","contributorId":80069,"corporation":false,"usgs":true,"family":"Liang","given":"J.","email":"","affiliations":[],"preferred":false,"id":496626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harden, J.W. 0000-0002-6570-8259","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":38585,"corporation":false,"usgs":true,"family":"Harden","given":"J.W.","affiliations":[],"preferred":false,"id":496623,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kasischke, E.S.","contributorId":61201,"corporation":false,"usgs":true,"family":"Kasischke","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":496624,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kurz, W.A.","contributorId":9867,"corporation":false,"usgs":true,"family":"Kurz","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":496620,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70043960,"text":"70043960 - 2012 - Evaluation of stream flow effects on smolt survival in the Yakima River basin, Washington","interactions":[],"lastModifiedDate":"2016-05-03T12:32:59","indexId":"70043960","displayToPublicDate":"2012-12-01T03:45:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Evaluation of stream flow effects on smolt survival in the Yakima River basin, Washington","docAbstract":"<h1>Study Summary</h1>\n<p>The influence of stream flow on salmon smolt emigration survival is a topic of widespread management interest. We collected smolt survival data to inform flow management decisions in the Yakima Basin. The Yakima River watershed drains the eastern slopes of the Cascade Mountain Range in central Washington State. The upper basin is comprised of two major tributaries&ndash;the Naches River and the upper Yakima River. Headwater storage reservoirs capture runoff during the winter and spring seasons to support downstream irrigation needs. During summer months, water is conveyed through the upper Yakima River and diverted at Roza Dam, a major irrigation diversion that supplies water to the Roza Irrigation District and to a hydroelectric plant located near Yakima, Washington.</p>\n<p>To assess smolt survival in the 18 km reach downstream of Roza Dam, a radio telemetry project will be carried out over a three-year timeframe. The first year of study was designed to provide baseline survival estimates at two distinct flow treatments during the spring migration period. The goal was to establish flow treatments that were as divergent as possible in order to maximize the observed effect of environmental conditions on smolt survival. In total, three experimental trials were carried out in 2012&ndash;one during low flow conditions (&lt;600 cfs) and two during high flows (&gt;3000 cfs). Data from the first year will be used to determine experimental design requirements to adequately address study objectives in years two and three.</p>\n<p>In the spring of 2012, fixed telemetry monitoring stations were established in strategic locations upstream and downstream of Roza Dam. Yearling Chinook salmon <i>Oncorhynchus tshawytscha</i> smolts originating from Cle Elum Hatchery were captured at the Roza Dam fish screen bypass facility, implanted with radio tags, and released upstream of Roza Dam. Each release group of 50 fish was paired with a high or low flow condition. Fish movements were tracked as tagged fish passed each monitoring station during their migration down the upper Yakima River, through Roza Dam, past the Naches River confluence, and eventually through Sunnyside and Prosser Dams. At the conclusion of field data collection, survival rates for each release group were calculated using Cormack-Jolly-Seber mark-recapture models.</p>\n<p>Yearling Chinook smolt survival and travel time estimates from 2012 suggest that migration rates and survival rates in the Roza Reach may be associated with stream flow, water temperature, release timing (i.e. migratory disposition), and fish size, but the extent to which each variable influenced survival is yet to be determined. The lowest survival rate (61%) and longest travel time (median 2.26 days) was observed in Release Group 1, which had the smallest size distribution and experienced the lowest flows, lowest temperatures, and earliest release date among the three groups. Release Groups 2 and 3 survived at 96% and 98% respectively and traveled through the Roza Reach in less than eight hours. The primary focus of years two and three of this study will be to collect data that minimizes the effect of confounding explanatory variables, so that flow effects on emigration survival can be quantified independent of these other influential factors.</p>","language":"English","publisher":"Cramer Fish Sciences","collaboration":"Annual report prepared for: Yakima Basin Joint Board, U.S. Bureau of Reclamation, System Operations Advisory Committee","usgsCitation":"Courter, Garrison, Kock, T.J., and Perry, R.W., 2012, Evaluation of stream flow effects on smolt survival in the Yakima River basin, Washington, 31 p.","productDescription":"31 p.","numberOfPages":"34","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042239","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":320893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320892,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fishsciences.net/reports/view_report.php?rid=6222"}],"country":"United States","state":"Washington","otherGeospatial":"Naches River, Roza Reach, Yakima River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.06933593749999,\n              45.97406038956237\n            ],\n            [\n              -121.06933593749999,\n              47.33510005753562\n            ],\n            [\n              -119.783935546875,\n              47.33510005753562\n            ],\n            [\n              -119.783935546875,\n              45.97406038956237\n            ],\n            [\n              -121.06933593749999,\n              45.97406038956237\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5729cbb2e4b0b13d3919a32f","contributors":{"authors":[{"text":"Courter, Ian","contributorId":121196,"corporation":false,"usgs":true,"family":"Courter","suffix":"Ian","affiliations":[],"preferred":false,"id":517019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garrison, Tommy","contributorId":115917,"corporation":false,"usgs":true,"family":"Garrison","suffix":"Tommy","affiliations":[],"preferred":false,"id":517016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":628532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":628533,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70043870,"text":"70043870 - 2012 - Epidemiology of a Salmonella enterica subsp. Enterica serovar Typhimurium strain associated with a songbird outbreak.","interactions":[],"lastModifiedDate":"2015-06-10T17:50:30","indexId":"70043870","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Epidemiology of a Salmonella enterica subsp. Enterica serovar Typhimurium strain associated with a songbird outbreak.","docAbstract":"<p>Salmonella enterica subsp. enterica serovar Typhimurium is responsible for the majority of salmonellosis cases worldwide. This Salmonella serovar is also responsible for die-offs in songbird populations. In 2009, there was an S. Typhimurium epizootic reported in pine siskins in the eastern United States. At the time, there was also a human outbreak with this serovar that was associated with contaminated peanuts. As peanuts are also used in wild-bird food, it was hypothesized that the pine siskin epizootic was related to this human outbreak. A comparison of songbird and human S. Typhimurium pulsed-field gel electrophoresis (PFGE) patterns revealed that the epizootic was attributed not to the peanut-associated strain but, rather, to a songbird strain first characterized from an American goldfinch in 1998. This same S. Typhimurium strain (PFGE type A3) was also identified in the PulseNet USA database, accounting for 137 of 77,941 total S. Typhimurium PFGE entries. A second molecular typing method, multiple-locus variable-number tandem-repeat analysis (MLVA), confirmed that the same strain was responsible for the pine siskin epizootic in the eastern United States but was distinct from a genetically related strain isolated from pine siskins in Minnesota. The pine siskin A3 strain was first encountered in May 2008 in an American goldfinch and later in a northern cardinal at the start of the pine siskin epizootic. MLVA also confirmed the clonal nature of S. Typhimurium in songbirds and established that the pine siskin epizootic strain was unique to the finch family. For 2009, the distribution of PFGE type A3 in passerines and humans mirrored the highest population density of pine siskins for the East Coast.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied and Environmental Microbiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society for Microbiology","doi":"10.1128/AEM.01408-12","usgsCitation":"Blehert, D., Hernandez, S.M., Keel, K., Sanchez, S., Trees, E., and Peter Gerner-Smidt, 2012, Epidemiology of a Salmonella enterica subsp. Enterica serovar Typhimurium strain associated with a songbird outbreak.: Applied and Environmental Microbiology, v. 78, no. 20, p. 7290-7298, https://doi.org/10.1128/AEM.01408-12.","startPage":"7290","endPage":"7298","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037645","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":474234,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/aem.01408-12","text":"Publisher Index Page"},{"id":268016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268015,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1128/AEM.01408-12"}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-75.867044,36.550754],[-75.569794,35.863301],[-75.960069,36.495025],[-75.791637,36.082267],[-76.132005,36.287773],[-76.191715,36.107197],[-76.447812,36.192514],[-76.547505,36.009852],[-76.675462,36.266882],[-76.7521,36.147328],[-76.60384,35.939827],[-76.093697,35.993001],[-76.036393,35.690344],[-75.80935,35.959308],[-75.742167,35.655212],[-76.20586,35.336528],[-76.600441,35.538516],[-76.580187,35.387113],[-76.942022,35.473529],[-76.467776,35.276951],[-76.801426,34.964369],[-76.958465,35.047647],[-76.89354,34.957495],[-76.293682,35.009633],[-76.524712,34.681964],[-76.673619,34.71491],[-76.523303,34.652271],[-76.11182,35.034497],[-76.233088,34.905477],[-76.494068,34.66197],[-77.031105,34.661184],[-77.556943,34.417218],[-77.956881,33.87779],[-78.772737,33.768511],[-79.403712,33.003903],[-80.484617,32.460976],[-80.445451,32.350335],[-80.905378,32.051943],[-81.254218,31.55594],[-81.444124,30.709714],[-81.934655,30.820424],[-82.060034,30.360328],[-82.374844,30.579004],[-84.836324,30.710709],[-85.145835,31.000695],[-87.571281,30.99787],[-87.412739,30.678055],[-87.50548,30.287101],[-88.028401,30.221132],[-87.817743,30.254292],[-87.93107,30.652694],[-88.115432,30.35657],[-88.364022,30.388006],[-88.471106,31.850949],[-88.097888,34.892202],[-90.309297,34.995694],[-90.065392,35.137691],[-90.129448,35.441931],[-89.765457,35.809513],[-89.513178,36.359897],[-89.571509,36.552569],[-89.192542,36.635997],[-89.135847,37.102197],[-88.966831,37.229891],[-88.444605,37.098601],[-88.476592,37.386875],[-88.072386,37.483563],[-88.151646,37.675098],[-87.940839,37.883338],[-87.418585,37.944763],[-87.133149,37.792208],[-86.884961,37.964373],[-86.604624,37.858272],[-86.352466,38.128459],[-85.958299,38.004616],[-85.441725,38.520191],[-85.422021,38.734834],[-84.901874,38.790604],[-84.714048,39.132659],[-83.738207,38.647932],[-82.923694,38.750076],[-82.569368,38.406258],[-82.360145,38.438596],[-82.027262,39.028378],[-81.915898,38.88427],[-81.542346,39.352874],[-80.865805,39.686484],[-80.519058,40.792298],[-80.519405,41.976158],[-79.761951,42.26986],[-79.761798,42.019042],[-79.625287,41.999003],[-75.359579,41.999445],[-75.024757,41.535099],[-73.91188,41.001297],[-74.26759,40.471806],[-73.971381,40.371709],[-74.141733,39.689435],[-74.864458,38.94041],[-74.967274,38.933413],[-74.885914,39.143627],[-75.526654,39.526638],[-75.405337,39.796213],[-75.788359,39.721811],[-75.698777,38.522001],[-75.06137,38.389466],[-75.87767,37.135604],[-76.025753,37.257407],[-75.712065,37.936082],[-75.979727,38.367627],[-76.243897,38.310313],[-76.147158,38.63684],[-76.32353,38.721727],[-76.198138,38.81444],[-76.323293,38.998767],[-76.16906,39.062787],[-76.232612,39.232333],[-75.975313,39.530678],[-76.519804,39.222946],[-76.422933,39.043536],[-76.559697,38.767443],[-76.329433,38.073986],[-77.042879,38.443607],[-77.236231,38.374601],[-77.1302,38.635017],[-77.32544,38.44885],[-76.265998,37.91138],[-76.36232,37.610368],[-76.733046,37.852009],[-76.265056,37.481365],[-76.475927,37.250543],[-76.300352,37.00885],[-76.75047,37.190098],[-76.482407,36.917364],[-75.996252,36.922047],[-75.867044,36.550754]]],[[[-70.59628,41.471905],[-70.517584,41.403769],[-70.819415,41.327212],[-70.59628,41.471905]]],[[[-70.092142,41.297741],[-69.960277,41.278731],[-70.237175,41.282724],[-70.092142,41.297741]]],[[[-72.458519,42.726853],[-71.351874,42.698154],[-70.848625,42.860939],[-70.630077,42.692699],[-70.934993,42.457896],[-70.923169,42.263211],[-70.722269,42.207959],[-70.471552,41.761563],[-70.064314,41.772845],[-70.148294,42.06195],[-70.033501,42.017736],[-69.928261,41.6917],[-70.928197,41.415781],[-70.6948,41.52564],[-70.670453,41.721912],[-71.12057,41.497448],[-71.498258,42.01722],[-73.432812,42.050587],[-73.264957,42.74594],[-73.248401,43.470443],[-73.42016,44.032004],[-73.338482,44.924112],[-71.502487,45.013367],[-71.558565,44.565572],[-72.002314,44.324871],[-72.389097,43.528266],[-72.557247,42.853019],[-72.458519,42.726853]]],[[[-70.353392,43.535405],[-70.720296,43.074688],[-70.974863,43.357969],[-71.076914,45.246912],[-70.817099,45.297777],[-70.252526,45.933176],[-70.285526,46.196991],[-69.997086,46.69523],[-69.22442,47.459686],[-68.877914,47.186601],[-68.303778,47.355524],[-68.092501,47.276696],[-67.78923,46.880993],[-67.781892,45.731189],[-67.420543,45.511113],[-67.43998,45.227047],[-67.16787,45.164595],[-67.02615,44.768199],[-68.039679,44.360876],[-68.213861,44.492456],[-68.317588,44.225101],[-68.485415,44.434326],[-68.528153,44.241263],[-68.927452,44.448039],[-69.237368,43.931596],[-69.780097,43.755397],[-70.002874,43.852903],[-70.353392,43.535405]]],[[[-92.204691,46.704041],[-92.294069,46.078346],[-92.875488,45.689014],[-92.648157,45.407423],[-92.78043,44.812589],[-91.432522,43.996827],[-91.255431,43.744876],[-91.369325,43.500827],[-96.591213,43.500514],[-96.439335,43.113916],[-96.626406,42.773518],[-96.473339,42.503537],[-97.311091,42.865821],[-98.000348,42.763256],[-98.663712,42.998444],[-104.053127,43.000585],[-104.053097,41.018045],[-111.046723,40.997959],[-111.055199,45.001321],[-104.057698,44.997431],[-104.048616,48.966736],[-95.153711,48.998903],[-95.153333,49.305655],[-94.957465,49.370186],[-94.690889,48.778066],[-94.500203,48.698175],[-93.709147,48.518029],[-92.984963,48.623731],[-92.627833,48.522167],[-92.712562,48.463013],[-92.378922,48.235782],[-92.055228,48.359213],[-91.542512,48.053268],[-90.925092,48.229897],[-90.761555,48.100133],[-89.489226,48.014528],[-90.86827,47.5569],[-92.204691,46.704041]]],[[[-75.753765,35.199612],[-75.535741,35.272856],[-75.515745,35.721671],[-75.544809,35.228421],[-76.00151,35.06723],[-75.753765,35.199612]]]]},\"properties\":{\"name\":\"Alabama\",\"nation\":\"USA  \"}}]}","volume":"78","issue":"20","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5129f31ee4b04edf7e93f896","contributors":{"authors":[{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":1816,"corporation":false,"usgs":true,"family":"Blehert","given":"David S.","email":"dblehert@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":474348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hernandez, Sonia M.","contributorId":104367,"corporation":false,"usgs":false,"family":"Hernandez","given":"Sonia","email":"","middleInitial":"M.","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":474353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keel, Kevin","contributorId":90996,"corporation":false,"usgs":true,"family":"Keel","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":474351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanchez, Susan","contributorId":19054,"corporation":false,"usgs":true,"family":"Sanchez","given":"Susan","email":"","affiliations":[],"preferred":false,"id":474349,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trees, Eija","contributorId":92944,"corporation":false,"usgs":true,"family":"Trees","given":"Eija","email":"","affiliations":[],"preferred":false,"id":474352,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peter Gerner-Smidt","contributorId":127941,"corporation":true,"usgs":false,"organization":"Peter Gerner-Smidt","id":535440,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70045889,"text":"70045889 - 2012 - Biomedical health assessments of the Florida manatee in Crystal River  - providing opportunities for training during the capture, handling, and  processing of this endangered aquatic mammal","interactions":[],"lastModifiedDate":"2013-05-09T08:58:00","indexId":"70045889","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2376,"text":"Journal of Marine Animals and Their Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Biomedical health assessments of the Florida manatee in Crystal River  - providing opportunities for training during the capture, handling, and  processing of this endangered aquatic mammal","docAbstract":"Federal and state researchers have been involved in manatee (Trichechus manatus) biomedical health assessment programs for a couple of decades. These benchmark studies have provided a foundation for the development of consistent capture, handling, and processing techniques and protocols. Biologists have implemented training and encouraged multi-agency participation whenever possible to ensure reliable data acquisition, recording, sample collection, publication integrity, and meeting rigorous archival standards. Under a U.S. Fish and Wildlife Service wildlife research permit granted to the U.S. Geological Survey (USGS) Sirenia Project, federal biologists and collaborators are allowed to conduct research studies on wild and captive manatees detailing various \naspects of their biology. Therefore, researchers with the project have been collaborating on numerous studies over the last several years. One extensive study, initiated in 2006 has focused on health and fitness of the winter manatee population located in Crystal River, Florida. During those health assessments, capture, handling, and work-up training has been afforded to many of the participants. That study has successfully captured and handled 123 manatees. The data \ngathered have provided baseline information on manatee health, reproductive status, and nutritional condition. This research initiative addresses concerns and priorities outlined in the Florida Manatee Recovery Plan. The assessment teams strive to continue this collaborative effort to help advance our understanding of health-related issues confronting manatees throughout their range and interlacing these findings with surrogate species concepts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Marine Animals and Their Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oceanographic Environmental Research Society","usgsCitation":"Bonde, R.K., Garrett, A., Belanger, M., Askin, N., Tan, L., and Wittnich, C., 2012, Biomedical health assessments of the Florida manatee in Crystal River  - providing opportunities for training during the capture, handling, and  processing of this endangered aquatic mammal: Journal of Marine Animals and Their Ecology, v. 5, no. 2, p. 17-28.","productDescription":"12 p.","startPage":"17","endPage":"28","ipdsId":"IP-042685","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":272117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272116,"type":{"id":11,"text":"Document"},"url":"https://www.oers.ca/journal/volume5/issue2/techniques-vol5-iss2.pdf"}],"country":"United States","state":"Florida","otherGeospatial":"Crystal River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.65,28.87 ], [ -82.65,28.92 ], [ -82.56,28.92 ], [ -82.56,28.87 ], [ -82.65,28.87 ] ] ] } } ] }","volume":"5","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518cc55fe4b05ebc8f7cc0fc","contributors":{"authors":[{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":478484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrett, Andrew","contributorId":98197,"corporation":false,"usgs":true,"family":"Garrett","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":478489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belanger, Michael","contributorId":33602,"corporation":false,"usgs":true,"family":"Belanger","given":"Michael","email":"","affiliations":[],"preferred":false,"id":478487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Askin, Nesime","contributorId":15095,"corporation":false,"usgs":true,"family":"Askin","given":"Nesime","email":"","affiliations":[],"preferred":false,"id":478485,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tan, Luke","contributorId":79779,"corporation":false,"usgs":true,"family":"Tan","given":"Luke","email":"","affiliations":[],"preferred":false,"id":478488,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wittnich, Carin","contributorId":20235,"corporation":false,"usgs":true,"family":"Wittnich","given":"Carin","email":"","affiliations":[],"preferred":false,"id":478486,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70043893,"text":"70043893 - 2012 - Bioenergy potential of the United States constrained by satellite observations of existing productivity","interactions":[],"lastModifiedDate":"2013-04-07T08:55:45","indexId":"70043893","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Bioenergy potential of the United States constrained by satellite observations of existing productivity","docAbstract":"Background/Question/Methods \nCurrently, the United States (U.S.) supplies roughly half the world’s biofuel (secondary bioenergy), with the Energy Independence and Security Act of 2007 (EISA) stipulating an additional three-fold increase in annual production by 2022. Implicit in such energy targets is an associated increase in annual biomass demand (primary bioenergy) from roughly 2.9 to 7.4 exajoules (EJ; 1018 Joules). Yet, many of the factors used to estimate future bioenergy potential are relatively unresolved, bringing into question the practicality of the EISA’s ambitious bioenergy targets. Here, our objective was to constrain estimates of primary bioenergy potential (PBP) for the conterminous U.S. using satellite-derived net primary productivity (NPP) data (measured for every 1 km2 of the 7.2 million km2 of vegetated land in the conterminous U.S) as the most geographically explicit measure of terrestrial growth capacity. \n\nResults/Conclusions \nWe show that the annual primary bioenergy potential (PBP) of the conterminous U.S. realistically ranges from approximately 5.9 (± 1.4) to 22.2 (± 4.4) EJ, depending on land use. The low end of this range represents current harvest residuals, an attractive potential energy source since no additional harvest land is required. In contrast, the high end represents an annual harvest over an additional 5.4 million km2 or 75% of vegetated land in the conterminous U.S. While we identify EISA energy targets as achievable, our results indicate that meeting such targets using current technology would require either an 80% displacement of current croplands or the conversion of 60% of total rangelands. Our results differ from previous evaluations in that we use high resolution, satellite-derived NPP as an upper-envelope constraint on bioenergy potential, which removes the need for extrapolation of plot-level observed yields over large spatial areas. Establishing realistically constrained estimates of bioenergy potential seems a critical next step for effectively incorporating bioenergy into future U.S. energy portfolios.","largerWorkTitle":"Ecological Society of America 97th Annual Meeting, August 5-10, 2012, Portland, Oregon","language":"English","publisher":"Ecological Society of America","usgsCitation":"Reed, S.C., Smith, W.K., Cleveland, C.C., Miller, N., and Running, S.W., 2012, Bioenergy potential of the United States constrained by satellite observations of existing productivity, <i>in</i> Ecological Society of America 97th Annual Meeting, August 5-10, 2012, Portland, Oregon.","numberOfPages":"1","ipdsId":"IP-035942","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":270637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270636,"type":{"id":11,"text":"Document"},"url":"https://eco.confex.com/eco/2012/webprogram/Paper36186.html"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5162956ce4b0c25842758cf3","contributors":{"authors":[{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":474406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, William K.","contributorId":23544,"corporation":false,"usgs":true,"family":"Smith","given":"William","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":474408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleveland, Cory C.","contributorId":10264,"corporation":false,"usgs":true,"family":"Cleveland","given":"Cory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":474407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Norman L.","contributorId":87830,"corporation":false,"usgs":true,"family":"Miller","given":"Norman L.","affiliations":[],"preferred":false,"id":474410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Running, Steven W. 0000-0001-6906-3841","orcid":"https://orcid.org/0000-0001-6906-3841","contributorId":53258,"corporation":false,"usgs":false,"family":"Running","given":"Steven","email":"","middleInitial":"W.","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":474409,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043769,"text":"70043769 - 2012 - Re–Os geochronology of the lacustrine Green River Formation: Insights into direct depositional dating of lacustrine successions, Re–Os systematics and paleocontinental weathering","interactions":[],"lastModifiedDate":"2013-06-07T11:31:03","indexId":"70043769","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Re–Os geochronology of the lacustrine Green River Formation: Insights into direct depositional dating of lacustrine successions, Re–Os systematics and paleocontinental weathering","docAbstract":"Lacustrine sedimentary successions provide exceptionally high-resolution records of continental geological processes, responding to tectonic, climatic and magmatic influences. These successions are therefore essential for correlating geological and climatic phenomena across continents and furthermore the globe. Producing accurate geochronological frameworks within lacustrine strata is challenging because the stratigraphy is often bereft of biostratigraphy and directly dateable tuff horizons. The rhenium–osmium (Re–Os) geochronometer is a well-established tool for determining precise and accurate depositional ages of marine organic-rich rocks. Lake systems with stratified water columns are predisposed to the preservation of organic-rich rocks and thus should permit direct Re–Os geochronology of lacustrine strata. We present Re–Os systematics from one of the world's best documented lacustrine systems, the Eocene Green River Formation, providing accurate Re–Os depositional dates that are supported by Ar–Ar and U–Pb ages of intercalated tuff horizons. Precision of the Green River Formation Re–Os dates is controlled by the variation in initial <sup>187</sup>Os/<sup>188</sup>Os and the range of <sup>187</sup>Re/<sup>188</sup>Os ratios, as also documented in marine systems. Controls on uptake and fractionation of Re and Os are considered to relate mainly to depositional setting and the type of organic matter deposited, with the need to further understand the chelating precursors of Re and Os in organic matter highlighted. In addition to geochronology, the Re–Os data records the 187Os/188Os composition of lake water (1.41–1.54) at the time of deposition, giving an insight into continental runoff derived from weathering of the geological hinterland of the Green River Formation. Such insights enable us to evaluate fluctuations in continental climatic, tectonic and magmatic processes and provide the ability for chemostratigraphic correlation combined with direct depositional dates. Furthermore, initial 187Os/188Os values can be used as a diagnostic tool to distinguish between lacustrine and marine depositional settings when compared to known oceanic <sup>187</sup>Os/<sup>188</sup>Os values.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2012.10.012","usgsCitation":"Cumming, V.M., Selby, D., and Lillis, P.G., 2012, Re–Os geochronology of the lacustrine Green River Formation: Insights into direct depositional dating of lacustrine successions, Re–Os systematics and paleocontinental weathering: Earth and Planetary Science Letters, v. 359-360, https://doi.org/10.1016/j.epsl.2012.10.012.","numberOfPages":"34","ipdsId":"IP-035807","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":488173,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1498377","text":"External Repository"},{"id":273446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267778,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2012.10.012"}],"country":"United States","state":"Colorado;Utah;Wyoming","otherGeospatial":"Greater Green River Basin;Uinta Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01638888888888889,8.333333333333334E-4 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.01638888888888889,8.333333333333334E-4 ] ] ] } } ] }","volume":"359-360","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b300e7e4b01368e589e3fc","contributors":{"authors":[{"text":"Cumming, Vivien M.","contributorId":69044,"corporation":false,"usgs":true,"family":"Cumming","given":"Vivien","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Selby, David","contributorId":58167,"corporation":false,"usgs":true,"family":"Selby","given":"David","affiliations":[],"preferred":false,"id":474224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lillis, Paul G. 0000-0002-7508-1699 plillis@usgs.gov","orcid":"https://orcid.org/0000-0002-7508-1699","contributorId":1817,"corporation":false,"usgs":true,"family":"Lillis","given":"Paul","email":"plillis@usgs.gov","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":474223,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043592,"text":"70043592 - 2012 - Application of Wind Fetch and Wave Models for Habitat Rehabilitation and Enhancement Projects","interactions":[],"lastModifiedDate":"2013-02-23T09:37:56","indexId":"70043592","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Application of Wind Fetch and Wave Models for Habitat Rehabilitation and Enhancement Projects","docAbstract":"Models based upon coastal engineering equations have been developed to quantify wind fetch length and several physical wave characteristics including significant height, length, peak period, maximum orbital velocity, and shear stress. These models were used to quantify differences in proposed island construction designs for three Habitat Rehabilitation and Enhancement Projects (HREPs) in the U.S. Army Corps of Engineers St. Paul District (Capoli Slough and Harpers Slough) and St. Louis District (Swan Lake). Weighted wind fetch was calculated using land cover data supplied by the Long Term Resource Monitoring Program (LTRMP) for each island design scenario for all three HREPs. Figures and graphs were created to depict the results of this analysis. The difference in weighted wind fetch from existing conditions to each potential future island design was calculated for Capoli and Harpers Slough HREPs. A simplistic method for calculating sediment suspension probability was also applied to the HREPs in the St. Paul District. This analysis involved determining the percentage of days that maximum orbital wave velocity calculated over the growing seasons of 2002–2007 exceeded a threshold value taken from the literature where fine unconsolidated sediments may become suspended. This analysis also evaluated the difference in sediment suspension probability from existing conditions to the potential island designs. Bathymetric data used in the analysis were collected from the LTRMP and wind direction and magnitude data were collected from the National Oceanic and Atmospheric Administration, National Climatic Data Center.  These models are scheduled to be updated to operate using the most current Environmental Systems Research Institute ArcGIS Geographic Information System platform, and have several improvements implemented to wave calculations, data processing, and functions of the toolbox.","largerWorkTitle":"Annual Meeting of the American Fisheries Society","language":"English","publisher":"American Fisheries Society","usgsCitation":"Rohweder, J.J., Rogala, J.T., Johnson, B.L., Anderson, D., Clark, S., and Chamberlin, F., 2012, Application of Wind Fetch and Wave Models for Habitat Rehabilitation and Enhancement Projects, <i>in</i> Annual Meeting of the American Fisheries Society.","ipdsId":"IP-042647","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":268006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268005,"type":{"id":11,"text":"Document"},"url":"https://afs.confex.com/afs/2012/webprogram/Paper10406.html"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5129f30ee4b04edf7e93f84b","contributors":{"authors":[{"text":"Rohweder, Jason J. jrohweder@usgs.gov","contributorId":460,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":473916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogala, James T. 0000-0002-1954-4097 jrogala@usgs.gov","orcid":"https://orcid.org/0000-0002-1954-4097","contributorId":2651,"corporation":false,"usgs":true,"family":"Rogala","given":"James","email":"jrogala@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":473918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Barry L. bljohnson@usgs.gov","contributorId":608,"corporation":false,"usgs":true,"family":"Johnson","given":"Barry","email":"bljohnson@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":473917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Dennis","contributorId":96793,"corporation":false,"usgs":true,"family":"Anderson","given":"Dennis","email":"","affiliations":[],"preferred":false,"id":473921,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Steve","contributorId":92769,"corporation":false,"usgs":true,"family":"Clark","given":"Steve","email":"","affiliations":[],"preferred":false,"id":473920,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chamberlin, Ferris","contributorId":32635,"corporation":false,"usgs":true,"family":"Chamberlin","given":"Ferris","email":"","affiliations":[],"preferred":false,"id":473919,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70041366,"text":"70041366 - 2012 - Tectonic influences on the preservation of marine terraces: Old and new evidence from Santa Catalina Island, California","interactions":[],"lastModifiedDate":"2012-12-04T11:36:15","indexId":"70041366","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Tectonic influences on the preservation of marine terraces: Old and new evidence from Santa Catalina Island, California","docAbstract":"The California Channel Islands contain some of the best geologic records of past climate and sea-level changes, recorded in uplifted, fossil-bearing marine terrace deposits. Among the eight California Channel Islands and the nearby Palos Verdes Hills, only Santa Catalina Island does not exhibit prominent emergent marine terraces, though the same terrace-forming processes that acted on the other Channel Islands must also have occurred on Santa Catalina. We re-evaluated previous researchers' field evidence and examined new topographic, bathymetric, and stream-profile data in order to find possible explanations for the lack of obvious marine terrace landforms or deposits on the island today. The most likely explanation is associated with the island's unresolved tectonic history, with evidence for both recent uplift and subsidence being offered by different researchers. Bathymetric and seismic reflection data indicate the presence of submerged terrace-like landforms from a few meters below present sea level to depths far exceeding that of the lowest glacial lowstand, suggesting that the Catalina Island block may have subsided, submerging marine terraces that would have formed in the late Quaternary. Similar submerged marine terrace landforms exist offshore of all of the other California Channel Islands, including some at anomalously great depths, but late Quaternary uplift is well documented on those islands. Therefore, such submarine features must be more thoroughly investigated and adequately explained before they can be accepted as definitive evidence of subsidence. Nevertheless, the striking similarity of the terrace-like features around Santa Catalina Island to those surrounding the other, uplifting, Channel Islands prompted us to investigate other lines of evidence of tectonic activity, such as stream profile data. Recent uplift is suggested by disequilibrium stream profiles on the western side of the island, including nickpoints and profile convexities. Rapid uplift is also indicated by the island's highly dissected, steep topography and abundant landslides. A likely cause of uplift is a restraining bend in the offshore Catalina strike-slip fault. Our analysis suggests that Santa Catalina Island has recently experienced, and may still be experiencing, relatively rapid uplift, causing intense landscape rejuvenation that removed nearly all traces of marine terraces by erosion. A similar research approach, incorporating submarine as well as subaerial geomorphic data, could be applied to many tectonically active coastlines in which a marine terrace record appears to be missing.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.geomorph.2012.08.012","usgsCitation":"Schumann, R.R., Minor, S.A., Muhs, D.R., Groves, L., and McGeehin, J., 2012, Tectonic influences on the preservation of marine terraces: Old and new evidence from Santa Catalina Island, California: Geomorphology, v. 179, p. 208-224, https://doi.org/10.1016/j.geomorph.2012.08.012.","productDescription":"17 p.","startPage":"208","endPage":"224","ipdsId":"IP-033410","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":263669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263655,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2012.08.012"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands;Santa Catalina Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.0,32.5 ], [ -121.0,34.5 ], [ -118.0,34.5 ], [ -118.0,32.5 ], [ -121.0,32.5 ] ] ] } } ] }","volume":"179","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50bfbdf7e4b01744973f784a","contributors":{"authors":[{"text":"Schumann, R. Randall 0000-0001-8158-6960 rschumann@usgs.gov","orcid":"https://orcid.org/0000-0001-8158-6960","contributorId":1569,"corporation":false,"usgs":true,"family":"Schumann","given":"R.","email":"rschumann@usgs.gov","middleInitial":"Randall","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":469627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minor, Scott A. 0000-0002-6976-9235 sminor@usgs.gov","orcid":"https://orcid.org/0000-0002-6976-9235","contributorId":765,"corporation":false,"usgs":true,"family":"Minor","given":"Scott","email":"sminor@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":469626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":469628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Groves, Lindsey T.","contributorId":61678,"corporation":false,"usgs":true,"family":"Groves","given":"Lindsey T.","affiliations":[],"preferred":false,"id":469630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGeehin, John P. 0000-0002-5320-6091 mcgeehin@usgs.gov","orcid":"https://orcid.org/0000-0002-5320-6091","contributorId":3444,"corporation":false,"usgs":true,"family":"McGeehin","given":"John P.","email":"mcgeehin@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":469629,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041066,"text":"70041066 - 2012 - Moderating Argos location errors in animal tracking data","interactions":[],"lastModifiedDate":"2012-12-18T17:17:18","indexId":"70041066","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Moderating Argos location errors in animal tracking data","docAbstract":"1. The Argos System is used worldwide to satellite-track free-ranging animals, but location errors can range from tens of metres to hundreds of kilometres. Low-quality locations (Argos classes A, 0, B and Z) dominate animal tracking data. Standard-quality animal tracking locations (Argos classes 3, 2 and 1) have larger errors than those reported in Argos manuals.\n2. The Douglas Argos-filter (DAF) algorithm flags implausible locations based on user-defined thresholds that allow the algorithm's performance to be tuned to species' movement behaviours and study objectives. The algorithm is available in Movebank – a free online infrastructure for storing, managing, sharing and analysing animal movement data.\n3. We compared 21,044 temporally paired global positioning system (GPS) locations with Argos location estimates collected from Argos transmitters on free-ranging waterfowl and condors (13 species, 314 individuals, 54,895 animal-tracking days). The 95th error percentiles for unfiltered Argos locations 0, A, B and Z were within 35·8, 59·6, 163·2 and 220·2 km of the true location, respectively. After applying DAF with liberal thresholds, roughly 20% of the class 0 and A locations and 45% of the class B and Z locations were excluded, and the 95th error percentiles were reduced to 17·2, 15·0, 20·9 and 18·6 km for classes 0, A, B and Z, respectively. As thresholds were applied more conservatively, fewer locations were retained, but they possessed higher overall accuracy.\n4. Douglas Argos-filter can improve data accuracy by 50–90% and is an effective and flexible tool for preparing Argos data for direct biological interpretation or subsequent modelling.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.2041-210X.2012.00245.x","usgsCitation":"Douglas, D.C., Weinziert, R., Davidson, S.C., Kays, R., Wikelski, M., and Bohrer, G., 2012, Moderating Argos location errors in animal tracking data: Methods in Ecology and Evolution, v. 3, no. 6, p. 999-1007, https://doi.org/10.1111/j.2041-210X.2012.00245.x.","productDescription":"8 p.","startPage":"999","endPage":"1007","ipdsId":"IP-039258","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474238,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.2041-210x.2012.00245.x","text":"Publisher Index Page"},{"id":263567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263566,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.2041-210X.2012.00245.x"}],"volume":"3","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-10-10","publicationStatus":"PW","scienceBaseUri":"50d20c82e4b08b071e771baf","contributors":{"authors":[{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":469315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weinziert, Rolf","contributorId":24665,"corporation":false,"usgs":true,"family":"Weinziert","given":"Rolf","email":"","affiliations":[],"preferred":false,"id":469316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davidson, Sarah C.","contributorId":31651,"corporation":false,"usgs":true,"family":"Davidson","given":"Sarah","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":469317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kays, Roland","contributorId":83815,"corporation":false,"usgs":true,"family":"Kays","given":"Roland","affiliations":[],"preferred":false,"id":469320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wikelski, Martin","contributorId":76451,"corporation":false,"usgs":true,"family":"Wikelski","given":"Martin","affiliations":[],"preferred":false,"id":469319,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bohrer, Gil","contributorId":66569,"corporation":false,"usgs":true,"family":"Bohrer","given":"Gil","affiliations":[],"preferred":false,"id":469318,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70041058,"text":"70041058 - 2012 - Using surface velocities to calculate ice thickness and bed topography: A case study at Columbia Glacier, Alaska, USA","interactions":[],"lastModifiedDate":"2018-07-07T18:05:57","indexId":"70041058","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Using surface velocities to calculate ice thickness and bed topography: A case study at Columbia Glacier, Alaska, USA","docAbstract":"Information about glacier volume and ice thickness distribution is essential for many glaciological applications, but direct measurements of ice thickness can be difficult and costly. We present a new method that calculates ice thickness via an estimate of ice flux. We solve the familiar continuity equation between adjacent flowlines, which decreases the computational time required compared to a solution on the whole grid. We test the method on Columbia Glacier, a large tidewater glacier in Alaska, USA, and compare calculated and measured ice thicknesses, with favorable results. This shows the potential of this method for estimating ice thickness distribution of glaciers for which only surface data are available. We find that both the mean thickness and volume of Columbia Glacier were approximately halved over the period 1957–2007, from 281m to 143 m, and from 294 km<sup>3</sup> to 134 km<sup>3</sup>, respectively. Using bedrock slope and considering how waves of thickness change propagate through the glacier, we conduct a brief analysis of the instability of Columbia Glacier, which leads us to conclude that the rapid portion of the retreat may be nearing an end.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Glaciology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Glaciological Society","publisherLocation":"Cambridge, UK","doi":"10.3189/2012JoG11J249","usgsCitation":"McNabb, R., Hock, R., O’Neel, S., Rasmussen, L.A., Ahn, Y., Braun, M., Conway, H., Herreid, S., Joughin, I., Pfeffer, W., Smith, B., and Truffer, M., 2012, Using surface velocities to calculate ice thickness and bed topography: A case study at Columbia Glacier, Alaska, USA: Journal of Glaciology, v. 58, no. 212, p. 1151-1164, https://doi.org/10.3189/2012JoG11J249.","productDescription":"14 p.","startPage":"1151","endPage":"1164","ipdsId":"IP-035643","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474236,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3189/2012jog11j249","text":"Publisher Index Page"},{"id":263548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263547,"type":{"id":11,"text":"Document"},"url":"https://www.igsoc.org/journal/58/212/t11J249.pdf"},{"id":263546,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3189/2012JoG11J249"}],"country":"United States","state":"Alaska","otherGeospatial":"Columbia Glacier","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.11,52.68 ], [ -155.11,62.54 ], [ -141.02,62.54 ], [ -141.02,52.68 ], [ -155.11,52.68 ] ] ] } } ] }","volume":"58","issue":"212","noUsgsAuthors":false,"publicationDate":"2017-09-08","publicationStatus":"PW","scienceBaseUri":"50e56539e4b0a4aa5bb04b88","contributors":{"authors":[{"text":"McNabb, R.W.","contributorId":36825,"corporation":false,"usgs":true,"family":"McNabb","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":469292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hock, R.","contributorId":80921,"corporation":false,"usgs":true,"family":"Hock","given":"R.","email":"","affiliations":[],"preferred":false,"id":469295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":469286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rasmussen, Lowell A.","contributorId":36930,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Lowell","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":469293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ahn, Y.","contributorId":11097,"corporation":false,"usgs":true,"family":"Ahn","given":"Y.","email":"","affiliations":[],"preferred":false,"id":469287,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Braun, M.","contributorId":39271,"corporation":false,"usgs":true,"family":"Braun","given":"M.","email":"","affiliations":[],"preferred":false,"id":469294,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conway, H.","contributorId":21353,"corporation":false,"usgs":true,"family":"Conway","given":"H.","email":"","affiliations":[],"preferred":false,"id":469290,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Herreid, S.","contributorId":102358,"corporation":false,"usgs":true,"family":"Herreid","given":"S.","email":"","affiliations":[],"preferred":false,"id":469296,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Joughin, I.","contributorId":105084,"corporation":false,"usgs":true,"family":"Joughin","given":"I.","affiliations":[],"preferred":false,"id":469297,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pfeffer, W.T.","contributorId":14632,"corporation":false,"usgs":true,"family":"Pfeffer","given":"W.T.","email":"","affiliations":[],"preferred":false,"id":469289,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smith, B.E.","contributorId":36495,"corporation":false,"usgs":true,"family":"Smith","given":"B.E.","email":"","affiliations":[],"preferred":false,"id":469291,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Truffer, M.","contributorId":11908,"corporation":false,"usgs":true,"family":"Truffer","given":"M.","affiliations":[],"preferred":false,"id":469288,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70041042,"text":"70041042 - 2012 - Food availability and offspring sex in a monogamous seabird: insights from an experimental approach","interactions":[],"lastModifiedDate":"2012-12-18T17:09:59","indexId":"70041042","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":981,"text":"Behavioral Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Food availability and offspring sex in a monogamous seabird: insights from an experimental approach","docAbstract":"Sex allocation theory predicts that parents should favor offspring of the sex that provides the greatest fitness return. Despite growing evidence suggesting that vertebrates are able to overcome the constraint of chromosomal sex determination, the general pattern remains equivocal, indicating a need for experimental investigations. We used an experimental feeding design to study sex allocation during 3 years in black-legged kittiwakes (<i>Rissa tridactyla</i>). Intense male–male competition for securing a breeding site is common in this species in which males are heavier and larger than females. Hence, we hypothesized that parents producing fledglings in better than average condition, as supplementarily fed pairs do, would increase their fitness return by producing sons. Conversely, producing daughters would be a better tactic for Unfed parents. Hence, we predicted that Fed parents produce more sons than Unfed parents. This prediction is particularly expected if sexual dimorphism arises as early as during chick rearing, suggesting strong selective pressures for optimal male development. Our results showed that 1) males were heavier and larger than females prior to fledging and that 2) Fed parents produced relatively more male hatchlings than Unfed parents. We interpret this result in terms of a Trivers–Willard-type process. Furthermore, our data revealed that Unfed parents significantly overproduced female hatchlings, whereas offspring sex ratio was balanced among Fed parents. Because the 3 reproductive seasons we considered were particularly poor food years, Unfed parents may have overproduced daughters to avoid the apparent higher reproductive costs of raising sons.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Behavioral Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oxford Journals","publisherLocation":"Oxford, U.K.","doi":"10.1093/beheco/ars023","usgsCitation":"Merkling, T., Leclaire, S., Danchin, E., Lhuillier, E., Wagner, R., White, J., Hatch, S.A., and Blanchard, P., 2012, Food availability and offspring sex in a monogamous seabird: insights from an experimental approach: Behavioral Ecology, v. 23, no. 4, p. 751-758, https://doi.org/10.1093/beheco/ars023.","productDescription":"8 p.","startPage":"751","endPage":"758","ipdsId":"IP-031621","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":263554,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1093/beheco/ars023"},{"id":263555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-04-06","publicationStatus":"PW","scienceBaseUri":"50d20c2be4b08b071e771b6b","contributors":{"authors":[{"text":"Merkling, Thomas","contributorId":19453,"corporation":false,"usgs":true,"family":"Merkling","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":469237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leclaire, Sarah","contributorId":46385,"corporation":false,"usgs":true,"family":"Leclaire","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":469238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danchin, Etienne","contributorId":69034,"corporation":false,"usgs":true,"family":"Danchin","given":"Etienne","email":"","affiliations":[],"preferred":false,"id":469241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lhuillier, Emeline","contributorId":99854,"corporation":false,"usgs":true,"family":"Lhuillier","given":"Emeline","email":"","affiliations":[],"preferred":false,"id":469243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Richard H.","contributorId":94943,"corporation":false,"usgs":false,"family":"Wagner","given":"Richard H.","affiliations":[],"preferred":false,"id":469242,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Joel","contributorId":60100,"corporation":false,"usgs":false,"family":"White","given":"Joel","email":"","affiliations":[],"preferred":false,"id":469240,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hatch, Scott A. 0000-0002-0064-8187 shatch@usgs.gov","orcid":"https://orcid.org/0000-0002-0064-8187","contributorId":2625,"corporation":false,"usgs":true,"family":"Hatch","given":"Scott","email":"shatch@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":469236,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Blanchard, Pierrick","contributorId":56949,"corporation":false,"usgs":true,"family":"Blanchard","given":"Pierrick","email":"","affiliations":[],"preferred":false,"id":469239,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70045239,"text":"70045239 - 2012 - The past as prelude to the future for understanding 21st-century climate effects on Rocky Mountain Trout","interactions":[],"lastModifiedDate":"2013-04-25T11:19:04","indexId":"70045239","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"The past as prelude to the future for understanding 21st-century climate effects on Rocky Mountain Trout","docAbstract":"Bioclimatic models predict large reductions in native trout across the Rocky Mountains in the 21st century but lack details about how changes will occur. Through five case histories across the region, we explore how a changing climate has been affecting streams and the potential consequences for trout. Monitoring records show trends in temperature and hydrographs consistent with a warming climate in recent decades. Biological implications include upstream shifts in thermal habitats, risk of egg scour, increased wildfire disturbances, and declining summer habitat volumes. The importance of these factors depends on the context, but temperature increases are most relevant where population boundaries are mediated by thermal constraints. Summer flow declines and wildfires will be important where trout populations are fragmented and constrained to small refugia. A critical information gap is evidence documenting how populations are adjusting to long-term habitat trends, so biological monitoring is a priority. Biological, temperature, and discharge data from monitoring networks could be used to develop accurate vulnerability assessments that provide information regarding where conservation actions would best improve population resilience. Even with better information, future uncertainties will remain large due to unknowns regarding Earth's ultimate warming trajectory and how effects translate across scales. Maintaining or increasing the size of habitats could provide a buffer against these uncertainties.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fisheries","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2012.742808","usgsCitation":"Isaak, D.J., Muhlfeld, C.C., Todd, A., Al-chokhachy, R., Roberts, J., Kershner, J.L., Fausch, K., and Hostetler, S.W., 2012, The past as prelude to the future for understanding 21st-century climate effects on Rocky Mountain Trout: Fisheries, v. 37, no. 12, p. 542-556, https://doi.org/10.1080/03632415.2012.742808.","productDescription":"15 p.","startPage":"542","endPage":"556","numberOfPages":"15","ipdsId":"IP-036943","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":271460,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/03632415.2012.742808"},{"id":271461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.43,33.09 ], [ -123.43,49.46 ], [ -103.25,49.46 ], [ -103.25,33.09 ], [ -123.43,33.09 ] ] ] } } ] }","volume":"37","issue":"12","noUsgsAuthors":false,"publicationDate":"2012-12-11","publicationStatus":"PW","scienceBaseUri":"517a506ee4b072c16ef14b61","contributors":{"authors":[{"text":"Isaak, Daniel J.","contributorId":57202,"corporation":false,"usgs":true,"family":"Isaak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":477109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":477104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Todd, Andrew S.","contributorId":33162,"corporation":false,"usgs":true,"family":"Todd","given":"Andrew S.","affiliations":[],"preferred":false,"id":477108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Al-chokhachy, Robert","contributorId":90194,"corporation":false,"usgs":true,"family":"Al-chokhachy","given":"Robert","affiliations":[],"preferred":false,"id":477110,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, James","contributorId":17509,"corporation":false,"usgs":true,"family":"Roberts","given":"James","affiliations":[],"preferred":false,"id":477106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":477103,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fausch, Kurt D. 0000-0001-5825-7560","orcid":"https://orcid.org/0000-0001-5825-7560","contributorId":29370,"corporation":false,"usgs":false,"family":"Fausch","given":"Kurt D.","affiliations":[],"preferred":false,"id":477107,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":477105,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70154950,"text":"70154950 - 2012 - Population status and habitat associations of the King Rail in the midwestern United States","interactions":[],"lastModifiedDate":"2015-07-22T09:33:47","indexId":"70154950","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Population status and habitat associations of the King Rail in the midwestern United States","docAbstract":"<p><span>The migratory population of the King Rail (</span><i>Rallus elegans</i><span>) has declined dramatically during the past 50 years, emphasizing the need to document the distribution and status of this species to help guide conservation efforts. In an effort to guide King Rail breeding habitat protection and restoration, a landscape suitability index (LSI) model was developed for the Upper Mississippi River and Great Lakes Region Joint Venture (JV). To validate this model, 264 sites were surveyed across the JV region in 2008 and 2009 using the National Marshbird Monitoring protocol. Two other similarly collected data sets from Wisconsin (250 sites) and Ohio (259 sites) as well as data from the Cornell Laboratory of Ornithology's eBird database were added to our data set. Sampling effort was not uniform across the study area. King Rails were detected at 29 sites with the greatest concentration in southeastern Wisconsin and northeastern Illinois. Too few detections were made to validate the LSI model. King Rail detection sites tended to have microtopographic heterogeneity, more emergent herbaceous wetland vegetation and less woody vegetation. The migrant population of the King Rail is rare and warrants additional conservation efforts to achieve stated conservation population targets.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.035.0404","usgsCitation":"Bolenbaugh, J.R., Cooper, T., Brady, R.S., Willard, K.L., and Krementz, D.G., 2012, Population status and habitat associations of the King Rail in the midwestern United States: Waterbirds, v. 35, no. 4, p. 535-545, https://doi.org/10.1675/063.035.0404.","productDescription":"11 p.","startPage":"535","endPage":"545","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036202","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305876,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, Ohio, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.185546875,\n              49.009050809382046\n            ],\n            [\n              -95.1416015625,\n              49.38237278700955\n            ],\n            [\n              -94.81201171875,\n              49.32512199104001\n            ],\n            [\n              -94.7021484375,\n              48.777912755501845\n            ],\n            [\n              -93.4716796875,\n              48.63290858589532\n            ],\n            [\n              -92.63671875,\n              48.61838518688487\n            ],\n            [\n              -91.845703125,\n              48.29781249243716\n            ],\n            [\n              -90.5712890625,\n              48.23930899024905\n            ],\n            [\n              -89.47265625,\n              48.004625021133904\n            ],\n            [\n              -88.30810546875,\n              47.44294999517949\n            ],\n            [\n              -86.06689453125,\n              46.78501604269254\n            ],\n            [\n              -83.60595703125,\n              45.38301927899065\n            ],\n            [\n              -82.6611328125,\n              43.992814500489914\n            ],\n            [\n              -82.3974609375,\n              43.03677585761058\n            ],\n            [\n              -83.43017578125,\n              41.72213058512578\n            ],\n            [\n              -82.50732421875,\n              41.36031866306708\n            ],\n            [\n              -80.52978515625,\n              41.96765920367816\n            ],\n            [\n              -80.5517578125,\n              40.979898069620155\n            ],\n            [\n              -81.6064453125,\n              40.6639728763869\n            ],\n            [\n              -82.6611328125,\n              40.027614437486655\n            ],\n            [\n              -83.21044921875,\n              39.06184913429154\n            ],\n            [\n              -83.27636718749999,\n              38.634036452919226\n            ],\n            [\n              -83.671875,\n              38.5825261593533\n            ],\n            [\n              -84.57275390625,\n              39.07890809706475\n            ],\n            [\n              -84.83642578125,\n              38.993572058209466\n            ],\n            [\n              -85.05615234375,\n              38.685509760012\n            ],\n            [\n              -85.80322265625,\n              38.25543637637947\n            ],\n            [\n              -86.0888671875,\n              38.013476231041935\n            ],\n            [\n              -86.923828125,\n              37.82280243352756\n            ],\n            [\n              -87.978515625,\n              37.84015683604134\n            ],\n            [\n              -88.13232421875,\n              37.49229399862877\n            ],\n            [\n              -88.52783203125,\n              37.09023980307208\n            ],\n            [\n              -89.296875,\n              37.03763967977139\n            ],\n            [\n              -89.53857421875,\n              37.37015718405753\n            ],\n            [\n              -89.6044921875,\n              37.70120736474139\n            ],\n            [\n              -90.3515625,\n              38.20365531807149\n            ],\n            [\n              -91.14257812499999,\n              38.34165619279593\n            ],\n            [\n              -91.82373046875,\n              38.976492485539424\n            ],\n            [\n              -92.30712890625,\n              39.24927084622338\n            ],\n            [\n              -92.96630859375,\n              38.993572058209466\n            ],\n            [\n              -93.33984375,\n              38.788345355085625\n            ],\n            [\n              -94.10888671875,\n              38.16911413556086\n            ],\n            [\n              -94.46044921875,\n              37.45741810262938\n            ],\n            [\n              -94.658203125,\n              37.00255267215955\n            ],\n            [\n              -96.9873046875,\n              37.055177106660814\n            ],\n            [\n              -97.3828125,\n              38.34165619279593\n            ],\n            [\n              -97.3828125,\n              39.30029918615029\n            ],\n            [\n              -96.9873046875,\n              40.04443758460859\n            ],\n            [\n              -97.20703125,\n              41.50857729743935\n            ],\n            [\n              -96.6357421875,\n              42.65012181368025\n            ],\n            [\n              -96.6357421875,\n              43.48481212891603\n            ],\n            [\n              -95.888671875,\n              43.48481212891603\n            ],\n            [\n              -95.712890625,\n              42.87596410238254\n            ],\n            [\n              -94.7900390625,\n              42.32606244456202\n            ],\n            [\n              -94.3505859375,\n              41.705728515237524\n            ],\n            [\n              -92.373046875,\n              41.77131167976407\n            ],\n            [\n              -92.46093749999999,\n              43.48481212891603\n            ],\n            [\n              -92.94433593749999,\n              44.11914151643737\n            ],\n            [\n              -93.9990234375,\n              44.77793589631623\n            ],\n            [\n              -95.0537109375,\n              46.13417004624326\n            ],\n            [\n              -95.4052734375,\n              46.89023157359399\n            ],\n            [\n              -95.7568359375,\n              47.84265762816535\n            ],\n            [\n              -95.7568359375,\n              48.48748647988415\n            ],\n            [\n              -95.185546875,\n              49.009050809382046\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b0beaee4b09a3b01b5309e","contributors":{"authors":[{"text":"Bolenbaugh, Jason R.","contributorId":145589,"corporation":false,"usgs":false,"family":"Bolenbaugh","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooper, Tom","contributorId":145778,"corporation":false,"usgs":false,"family":"Cooper","given":"Tom","email":"","affiliations":[],"preferred":false,"id":565270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brady, Ryan S.","contributorId":145779,"corporation":false,"usgs":false,"family":"Brady","given":"Ryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":565271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willard, Karen L.","contributorId":145780,"corporation":false,"usgs":false,"family":"Willard","given":"Karen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":565272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":565273,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}