{"pageNumber":"385","pageRowStart":"9600","pageSize":"25","recordCount":46784,"records":[{"id":70187349,"text":"70187349 - 2017 - Controls on the chemical composition of saline surface crusts and emitted dust from a wet playa in the Mojave Desert (USA)","interactions":[],"lastModifiedDate":"2017-05-01T14:55:44","indexId":"70187349","displayToPublicDate":"2017-04-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Controls on the chemical composition of saline surface crusts and emitted dust from a wet playa in the Mojave Desert (USA)","docAbstract":"<p><span>Saline-surface crusts and their compositions at ephemeral, dry, and drying lakes are important products of arid-land processes. Detailed understanding is lacking, however, about interactions among locally variable hydrogeologic conditions, compositional control of groundwater on vadose zone and surface salts, and dust composition. Chemical and physical data from groundwater, sediments, and salts reveal compositional controls on saline-surface crusts across a wet playa, Mojave Desert, with bearing on similar settings elsewhere. The compositions of chemically and isotopically distinctive shallow (&lt;3&nbsp;m) water masses are recorded in the composition of associated salts. In areas with deeper and more saline groundwater, however, not all ions are transported through the vadose zone. Retention of arsenic and other elements in the vadose zone diminishes the concentrations of potentially toxic elements in surface salts, but creates a reservoir of these elements that may be brought to the surface during wetter conditions or by human disturbance. Selective wind-erosion loss of sulfate salts was identified by the compositional contrast between surface salt crusts and underlying groundwater. At the sub-basin scale, compositional links exist among groundwater, salt crusts, and dust from wet playas. Across the study basin, however, lateral variations in groundwater and solid-salt compositions are produced by hydrogeologic heterogeneity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2017.01.010","usgsCitation":"Goldstein, H.L., Breit, G.N., and Reynolds, R.L., 2017, Controls on the chemical composition of saline surface crusts and emitted dust from a wet playa in the Mojave Desert (USA): Journal of Arid Environments, v. 140, p. 50-66, https://doi.org/10.1016/j.jaridenv.2017.01.010.","productDescription":"17 p.","startPage":"50","endPage":"66","ipdsId":"IP-069494","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469901,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaridenv.2017.01.010","text":"Publisher Index Page"},{"id":340634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.57455444335936,\n              36.13787471840729\n            ],\n            [\n              -116.224365234375,\n              36.13787471840729\n            ],\n            [\n              -116.224365234375,\n              36.667317387570925\n            ],\n            [\n              -116.57455444335936,\n              36.667317387570925\n            ],\n            [\n              -116.57455444335936,\n              36.13787471840729\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"140","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5904549ee4b022cee40dc21a","contributors":{"authors":[{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":807,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":693576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":441,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":true,"id":693577,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186904,"text":"ofr20171037 - 2017 - Time-causal decomposition of geomagnetic time series into secular variation, solar quiet,  and disturbance signals","interactions":[],"lastModifiedDate":"2017-04-27T09:30:27","indexId":"ofr20171037","displayToPublicDate":"2017-04-26T12:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1037","title":"Time-causal decomposition of geomagnetic time series into secular variation, solar quiet,  and disturbance signals","docAbstract":"<p>A theoretical basis and prototype numerical algorithm are provided that decompose regular time series of geomagnetic observations into three components: secular variation; solar quiet, and disturbance. Respectively, these three components correspond roughly to slow changes in the Earth’s internal magnetic field, periodic daily variations caused by quasi-stationary (with respect to the sun) electrical current systems in the Earth’s magnetosphere, and episodic perturbations to the geomagnetic baseline that are typically driven by fluctuations in a solar wind that interacts electromagnetically with the Earth’s magnetosphere. In contrast to similar algorithms applied to geomagnetic data in the past, this one addresses the issue of real time data acquisition directly by applying a time-causal, exponential smoother with “seasonal corrections” to the data as soon as they become available.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171037","usgsCitation":"Rigler, E.J., 2017, Time-causal decomposition of geomagnetic time series into secular variation, solar quiet,  and disturbance signals: U.S. Geological Survey Open-File Report 2017–1037, 26 p., https://doi.org/10.3133/ofr20171037.","productDescription":"iv, 26 p.","numberOfPages":"31","onlineOnly":"Y","ipdsId":"IP-080216","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":340156,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1037/coverthb.jpg"},{"id":340157,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1037/ofr20171037.pdf","text":"Report","size":"3.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1037"}],"contact":"<p>Director, Geologic Hazards Science Center<br>U.S. Geological Survey<br>Box 25046, MS–966<br>Denver, CO 80225-0046</p><p><a href=\"https://www.usgs.gov/centers/geohazards/\" data-mce-href=\"https://www.usgs.gov/centers/geohazards/\">https://www.usgs.gov/centers/geohazards/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abbreviations</li><li>Abstract</li><li>Introduction</li><li>Mathematical Theory</li><li>Numerical Algorithm and Practical Considerations</li><li>Verification and Validation</li><li>Summary and Conclusions</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Pseudocode</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-04-26","noUsgsAuthors":false,"publicationDate":"2017-04-26","publicationStatus":"PW","scienceBaseUri":"5901b1b6e4b0c2e071a99b86","contributors":{"authors":[{"text":"Rigler, E. Joshua 0000-0003-4850-3953 erigler@usgs.gov","orcid":"https://orcid.org/0000-0003-4850-3953","contributorId":4367,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"erigler@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":690950,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187203,"text":"70187203 - 2017 - A paired-laser photogrammetric method for in situ length measurement of benthic fishes","interactions":[],"lastModifiedDate":"2017-04-26T13:07:44","indexId":"70187203","displayToPublicDate":"2017-04-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A paired-laser photogrammetric method for in situ length measurement of benthic fishes","docAbstract":"<p><span>Photogrammetry, a technique to obtain measurements from photographs, may be a valid method for measuring lengths of rare, threatened, or endangered species. Photogrammetric methods of measurement are nonintrusive and reduce the possibility of physical damage or physiological stress associated with the capture and handling of individuals. We evaluated precision and accuracy of photogrammetric length measurements relative to board measurements of Greenside Darters </span><i>Etheostoma blennioides</i><span> and Variegate Darters </span><i>E. variatum</i><span> in an aquarium and applied photogrammetry in a field study of the Diamond Darter </span><i>Crystallaria cincotta</i><span>, a federally listed endangered species. Digital photographs were taken of each individual using a waterproof camera equipped with two parallel lasers. Photogrammetric length measurements were digitized with ImageJ software. Agreement between board and photogrammetric measurements were high for Greenside and Variegate darters. The magnitude of differences was small between direct and photogrammetric measurements, ranging from 0.6% to 3.1%, depending on the species measured and the type of measurement taken. These results support photogrammetry as a useful method for obtaining length measurements of benthic stream fishes. Photogrammetric methods allowed for length measurements and an assessment of length frequency of 199 Diamond Darters, informative data for management that could not be collected with conventional measuring-board methods.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1235632","usgsCitation":"Rizzo, A.A., Welsh, S.A., and Thompson, P., 2017, A paired-laser photogrammetric method for in situ length measurement of benthic fishes: North American Journal of Fisheries Management, v. 37, no. 1, p. 16-22, https://doi.org/10.1080/02755947.2016.1235632.","productDescription":"7 p.","startPage":"16","endPage":"22","ipdsId":"IP-079166","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"5901b1b7e4b0c2e071a99b8a","contributors":{"authors":[{"text":"Rizzo, Austin A.","contributorId":191439,"corporation":false,"usgs":false,"family":"Rizzo","given":"Austin","email":"","middleInitial":"A.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":693048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":1483,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"swelsh@usgs.gov","middleInitial":"A.","affiliations":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"preferred":false,"id":693013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Patricia A. pathompson@usgs.gov","contributorId":5249,"corporation":false,"usgs":true,"family":"Thompson","given":"Patricia A.","email":"pathompson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":693049,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187152,"text":"70187152 - 2017 - Improved supervised classification of accelerometry data to distinguish behaviors of soaring birds","interactions":[],"lastModifiedDate":"2017-11-29T10:33:59","indexId":"70187152","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Improved supervised classification of accelerometry data to distinguish behaviors of soaring birds","docAbstract":"<p><span>Soaring birds can balance the energetic costs of movement by switching between flapping, soaring and gliding flight. Accelerometers can allow quantification of flight behavior and thus a context to interpret these energetic costs. However, models to interpret accelerometry data are still being developed, rarely trained with supervised datasets, and difficult to apply. We collected accelerometry data at 140Hz from a trained golden eagle (</span><i>Aquila chrysaetos</i><span>) whose flight we recorded with video that we used to characterize behavior. We applied two forms of supervised classifications, random forest (RF) models and K-nearest neighbor (KNN) models. The KNN model was substantially easier to implement than the RF approach but both were highly accurate in classifying basic behaviors such as flapping (85.5% and 83.6% accurate, respectively), soaring (92.8% and 87.6%) and sitting (84.1% and 88.9%) with overall accuracies of 86.6% and 92.3% respectively. More detailed classification schemes, with specific behaviors such as banking and straight flights were well classified only by the KNN model (91.24% accurate; RF = 61.64% accurate). The RF model maintained its accuracy of classifying basic behavior classification accuracy of basic behaviors at sampling frequencies as low as 10Hz, the KNN at sampling frequencies as low as 20Hz. Classification of accelerometer data collected from free ranging birds demonstrated a strong dependence of predicted behavior on the type of classification model used. Our analyses demonstrate the consequence of different approaches to classification of accelerometry data, the potential to optimize classification algorithms with validated flight behaviors to improve classification accuracy, ideal sampling frequencies for different classification algorithms, and a number of ways to improve commonly used analytical techniques and best practices for classification of accelerometry data.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0174785","usgsCitation":"Sur, M., Suffredini, T., Wessells, S.M., Bloom, P.H., Lanzone, M., Blackshire, S., Sridhar, S., and Katzner, T., 2017, Improved supervised classification of accelerometry data to distinguish behaviors of soaring birds: PLoS ONE, v. 12, no. 4, e0174785; 19 p., https://doi.org/10.1371/journal.pone.0174785.","productDescription":"e0174785; 19 p.","ipdsId":"IP-081662","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469906,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0174785","text":"Publisher Index Page"},{"id":340410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-12","publicationStatus":"PW","scienceBaseUri":"59006062e4b0e85db3a5ddc9","contributors":{"authors":[{"text":"Sur, Maitreyi","contributorId":191354,"corporation":false,"usgs":false,"family":"Sur","given":"Maitreyi","email":"","affiliations":[],"preferred":false,"id":692796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suffredini, Tony","contributorId":191355,"corporation":false,"usgs":false,"family":"Suffredini","given":"Tony","email":"","affiliations":[],"preferred":false,"id":692797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wessells, Stephen M. 0000-0002-1895-4553 smwess@usgs.gov","orcid":"https://orcid.org/0000-0002-1895-4553","contributorId":2235,"corporation":false,"usgs":true,"family":"Wessells","given":"Stephen","email":"smwess@usgs.gov","middleInitial":"M.","affiliations":[{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":692798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bloom, Peter H.","contributorId":191356,"corporation":false,"usgs":false,"family":"Bloom","given":"Peter","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":692799,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lanzone, Michael J.","contributorId":140128,"corporation":false,"usgs":false,"family":"Lanzone","given":"Michael J.","affiliations":[{"id":13392,"text":"Cellular Tracking Technologies","active":true,"usgs":false}],"preferred":false,"id":692800,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blackshire, Sheldon","contributorId":191357,"corporation":false,"usgs":false,"family":"Blackshire","given":"Sheldon","email":"","affiliations":[],"preferred":false,"id":692801,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sridhar, Srisarguru","contributorId":191358,"corporation":false,"usgs":false,"family":"Sridhar","given":"Srisarguru","email":"","affiliations":[],"preferred":false,"id":692802,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":692795,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70188558,"text":"70188558 - 2017 - Reptiles and amphibians","interactions":[],"lastModifiedDate":"2017-06-16T08:34:04","indexId":"70188558","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Reptiles and amphibians","docAbstract":"Summary – We reviewed all the peer-reviewed scientific publications we could find on the known and potential effects of wind farm development, operation, maintenance, and decommissioning on reptiles and amphibians (collectively herpetofauna) worldwide. Both groups are declining globally due to a multitude of threats including energy development. Effect studies were limited to the long-term research by the authors on Agassiz’s Desert Tortoise ecology and behavior at single operational wind farm in California, US and an analysis of the effects of wind farm installation on species richness of vertebrates including reptiles and amphibians in northwestern Portugal. Research on Agassiz’s Desert Tortoise found few demonstrable differences in biological parameters between populations in the wind farm and those in more natural habitats. High reproductive output is due to the regional climate and not to the presence or operation of the wind farm. Site operations have resulted in death and injury to a small number of adult tortoises and over the long-term tortoises now appear to avoid the areas of greatest turbine concentration. Research in Portugal using models and simulations based on empirical data show that vertebrate species richness (including herpetofauna) decreased by almost 20% after the installation of only two large monopole turbines per 250 x 250 m plot. Knowledge of the known responses of herpetofauna to various disturbances allows identification of potential impacts from construction material acquisition in offsite areas, mortality and stress due to impacts of roads and related infrastructure, destruction and modification of habitat,  habitat fragmentation and barriers to gene flow, noise, vibration, electromagnetic field generation, heat from buried high voltage transmission lines, alteration of local and regional climate, predator attraction, and increased risk of fire. Research on herpetofauna lags far behind what is needed and, in particular, before-after-control-impact studies are critically needed to identify cause and effect relationships in order to develop effective mitigation strategies for any negative impacts.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wildlife and wind farms – conflicts and solutions","language":"English","publisher":"Pelagic Publishing","usgsCitation":"Lovich, J.E., and Ennen, J., 2017, Reptiles and amphibians, chap. <i>of</i> Wildlife and wind farms – conflicts and solutions, v. 1, p. 97-118.","startPage":"97","endPage":"118","ipdsId":"IP-062068","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":342550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342544,"type":{"id":15,"text":"Index Page"},"url":"https://pelagicpublishing.com/collections/wildlife-and-wind-farms-martin-perrow/products/wildlife-and-wind-farms-vol-1-onshore-potential-effects"}],"volume":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59439c94e4b062508e31a9ad","contributors":{"editors":[{"text":"Perrow, Martin","contributorId":192982,"corporation":false,"usgs":false,"family":"Perrow","given":"Martin","email":"","affiliations":[],"preferred":false,"id":698372,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":698335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":698336,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187078,"text":"70187078 - 2017 - Five-year external reviews of the eight Department of Interior Climate Science Centers: Southeast Climate Science Center","interactions":[],"lastModifiedDate":"2020-07-27T19:01:01.937186","indexId":"70187078","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Five-year external reviews of the eight Department of Interior Climate Science Centers: Southeast Climate Science Center","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"true\"><i></i><span id=\"_mce_caret\" data-mce-bogus=\"true\">In 2008, the U.S. Congress authorized the establishment of the National Climate Change and Wildlife Science Center (NCCWSC) within the U.S. Department of Interior (DOI). Housed administratively within the U.S. Geological Survey (USGS), NCCWSC is part of the DOI’s ongoing mission to meet the challenges of climate change and its effects on wildlife and aquatic resources. From 2010 through 2012, NCCWSC established eight regional DOI Climate Science Centers (CSCs). Each of these regional CSCs operated with the mission to “synthesize and integrate climate change impact data and develop tools that the Department’s managers and partners can use when managing the Department’s land, water, fish and wildlife, and cultural heritage resources” (Salazar 2009). The model developed by NCCWSC for the regional CSCs employed a dual approach of a federal USGS-staffed component and a parallel host-university component established competitively through a 5-year cooperative agreement with NCCWSC. At the conclusion of this 5-year agreement, a review of each CSC was undertaken, with the Southeast Climate Science Center (SE CSC) review in February 2016. </span></span></p><p><span id=\"_mce_caret\" data-mce-bogus=\"true\"><span id=\"_mce_caret\" data-mce-bogus=\"true\">The SE CSC is hosted by North Carolina State University (NCSU) in Raleigh, North Carolina, and is physically housed within the NCSU Department of Applied Ecology along with the Center for Applied Aquatic Ecology, the North Carolina Cooperative Fish and Wildlife Research Unit (CFWRU), and the North Carolina Agromedicine Institute. The U.S. Department of Agriculture Southeast Regional Climate Hub is based at NCSU as is the National Oceanic and Atmospheric Administration (NOAA) Southeast Regional Climate Center, the North Carolina Institute for Climate Studies, the North Carolina Wildlife Resources Commission, the NOAA National Weather Service, the State Climate Office of North Carolina, and the U.S. Forest Service Eastern Forest Environmental Threat Assessment Center. This creates a strong core of organizations operating in close proximity focused on climate issues. </span></span></p><p>The geographic area covered by the SE CSC represents all or part of 16 states and the Caribbean Islands and has overlapping boundaries with seven Landscape Conservation Cooperatives (LCCs): Appalachian LCC, Eastern Tallgrass Prairie and Big Rivers LCC, Gulf Coast Prairie LCC, Gulf Coastal Plains and Ozarks LCC, Peninsular Florida LCC, South Atlantic LCC, and Caribbean LCC. The SE CSC region also encompasses 134 U.S. Fish and Wildlife Service refuges and 89 National Park Service (NPS) units and is home to 11 federally recognized and 54 state recognized tribes.&nbsp;<br></p>","language":"English","publisher":"American Fisheries Society","usgsCitation":"Rice, K.G., Beier, P., Breault, T., Middleton, B.A., Peck, M.A., Tirpak, J.M., and Ratnaswamy, M., 2017, Five-year external reviews of the eight Department of Interior Climate Science Centers: Southeast Climate Science Center, xii, 49 p.","productDescription":"xii, 49 p.","ipdsId":"IP-080700","costCenters":[{"id":41705,"text":"Northeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":340227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340061,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencebase.gov/catalog/item/58da836fe4b0543bf7fda953"}],"country":"United States","geographicExtents":"{\n  \"type\": 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Douglas","contributorId":191316,"corporation":false,"usgs":false,"family":"Austen","given":"Douglas","affiliations":[],"preferred":false,"id":692704,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"Harrison, Sarah","contributorId":191317,"corporation":false,"usgs":false,"family":"Harrison","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":692705,"contributorType":{"id":3,"text":"Compilers"},"rank":2}],"authors":[{"text":"Rice, Kenneth G. 0000-0001-8282-1088 krice@usgs.gov","orcid":"https://orcid.org/0000-0001-8282-1088","contributorId":117,"corporation":false,"usgs":true,"family":"Rice","given":"Kenneth","email":"krice@usgs.gov","middleInitial":"G.","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":692698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beier, Paul","contributorId":100708,"corporation":false,"usgs":true,"family":"Beier","given":"Paul","email":"","affiliations":[],"preferred":false,"id":692699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breault, Tim","contributorId":191314,"corporation":false,"usgs":false,"family":"Breault","given":"Tim","email":"","affiliations":[],"preferred":false,"id":692700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":692701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peck, Myron A.","contributorId":191315,"corporation":false,"usgs":false,"family":"Peck","given":"Myron","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":692702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tirpak, John M.","contributorId":191024,"corporation":false,"usgs":false,"family":"Tirpak","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":34307,"text":"U.S. Fish and Wildlife Service, Lafayette, LA, USA","active":true,"usgs":false}],"preferred":false,"id":692703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ratnaswamy, Mary mratnaswamy@usgs.gov","contributorId":116,"corporation":false,"usgs":true,"family":"Ratnaswamy","given":"Mary","email":"mratnaswamy@usgs.gov","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":692345,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70187150,"text":"70187150 - 2017 - Developing approaches for linear mixed modeling in landscape genetics through landscape-directed dispersal simulations","interactions":[],"lastModifiedDate":"2017-11-22T16:59:42","indexId":"70187150","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Developing approaches for linear mixed modeling in landscape genetics through landscape-directed dispersal simulations","docAbstract":"<p><span>Dispersal can impact population dynamics and geographic variation, and thus, genetic approaches that can establish which landscape factors influence population connectivity have ecological and evolutionary importance. Mixed models that account for the error structure of pairwise datasets are increasingly used to compare models relating genetic differentiation to pairwise measures of landscape resistance. A model selection framework based on information criteria metrics or explained variance may help disentangle the ecological and landscape factors influencing genetic structure, yet there are currently no consensus for the best protocols. Here, we develop landscape-directed simulations and test a series of replicates that emulate independent empirical datasets of two species with different life history characteristics (greater sage-grouse; eastern foxsnake). We determined that in our simulated scenarios, AIC and BIC were the best model selection indices and that marginal </span><i>R</i><sup>2</sup><span> values were biased toward more complex models. The model coefficients for landscape variables generally reflected the underlying dispersal model with confidence intervals that did not overlap with zero across the entire model set. When we controlled for geographic distance, variables not in the underlying dispersal models (i.e., nontrue) typically overlapped zero. Our study helps establish methods for using linear mixed models to identify the features underlying patterns of dispersal across a variety of landscapes.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2825","usgsCitation":"Row, J.R., Knick, S.T., Oyler-McCance, S.J., Lougheed, S.C., and Fedy, B.C., 2017, Developing approaches for linear mixed modeling in landscape genetics through landscape-directed dispersal simulations: Ecology and Evolution, v. 7, no. 11, p. 3751-3761, https://doi.org/10.1002/ece3.2825.","productDescription":"11 p.","startPage":"3751","endPage":"3761","ipdsId":"IP-064858","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469904,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2825","text":"Publisher Index Page"},{"id":340392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"59006062e4b0e85db3a5ddcb","contributors":{"authors":[{"text":"Row, Jeffery R.","contributorId":191345,"corporation":false,"usgs":false,"family":"Row","given":"Jeffery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":692781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":692780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":692782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lougheed, Stephen C.","contributorId":191346,"corporation":false,"usgs":false,"family":"Lougheed","given":"Stephen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":692783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fedy, Bradley C.","contributorId":191347,"corporation":false,"usgs":false,"family":"Fedy","given":"Bradley","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":692784,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70185119,"text":"sir20175017 - 2017 - Hydrology of the Claiborne aquifer and interconnection with the Upper Floridan aquifer in southwest Georgia","interactions":[],"lastModifiedDate":"2017-04-24T16:52:22","indexId":"sir20175017","displayToPublicDate":"2017-04-24T16:30:00","publicationYear":"2017","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":"2017-5017","title":"Hydrology of the Claiborne aquifer and interconnection with the Upper Floridan aquifer in southwest Georgia","docAbstract":"<p>The U.S. Geological Survey conducted a study, in cooperation with the Georgia Environmental Protection Division, to define the hydrologic properties of the Claiborne aquifer and evaluate its connection with the Upper Floridan aquifer in southwest Georgia. The effort involved collecting and compiling hydrologic data from the aquifer in subarea 4 of southwestern Georgia. Data collected for this study include borehole geophysical logs in 7 wells, and two 72-hour aquifer tests to determine aquifer properties.</p><p>The top of the Claiborne aquifer extends from an altitude of about 200 feet above the North American Vertical Datum of 1988 (NAVD 88) in Terrell County to 402 feet below NAVD 88 in Decatur County, Georgia. The base of the aquifer extends from an altitude of about 60 feet above NAVD 88 in eastern Sumter County to about 750 feet below NAVD 88 in Decatur County. Aquifer thickness ranges from about 70 feet in eastern Early County to 400 feet in Decatur County.</p><p>The transmissivity of the Claiborne aquifer, determined from two 72-hour aquifer tests, was estimated to be 1,500 and 700 feet squared per day in Mitchell and Early Counties, respectively. The storage coefficient was estimated to be 0.0006 and 0.0004 for the same sites, respectively. Aquifer test data from Mitchell County indicate a small amount of leakage occurred during the test. Groundwater-flow models suggest that the source of the leakage was the underlying Clayton aquifer, which produced about 2.5 feet of drawdown in response to pumping in the Claiborne aquifer. The vertical hydraulic conductivity of the confining unit between the Claiborne and Clayton aquifers was simulated to be about 0.02 foot per day.</p><p>Results from the 72-hour aquifer tests run for this study indicated no interconnection between the Claiborne and overlying Upper Floridan aquifers at the two test sites. Additional data are needed to monitor the effects that increased withdrawals from the Claiborne aquifer may have on future water resources.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175017","collaboration":"Prepared in cooperation with the Georgia Environmental Protection Division","usgsCitation":"Gordon, D.W., and Gonthier, Gerald, 2017, Hydrology of the Claiborne aquifer and interconnection with the Upper Floridan aquifer in southwest Georgia: U.S. Geological Survey Scientific Investigations Report 2017–5017, 49 p., https://doi.org/10.3133/sir20175017.","productDescription":"x, 49 p.","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-076880","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":339811,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5017/sir20175017.pdf","text":"Report","size":"8.60 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5017"},{"id":339810,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5017/coverthb.jpg"},{"id":339835,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7B8569W","text":"USGS data release","description":"USGS data release","linkHelpText":"Data collected for Claiborne aquifer study in southwestern Georgia during 2015 to 2016"}],"country":"United States","state":"Georgia","otherGeospatial":"Claiborne Aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.1495361328125,\n              30.60482195075795\n            ],\n            [\n              -83.748779296875,\n              30.60482195075795\n            ],\n            [\n              -83.748779296875,\n              32.57459172113418\n            ],\n            [\n              -85.1495361328125,\n              32.57459172113418\n            ],\n            [\n              -85.1495361328125,\n              30.60482195075795\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, South Atlantic Water Science Center<br> U.S. Geological Survey<br> 720 Gracern Road<br> Stephenson Center, Suite 129<br> Columbia, SC 29210<br> <a href=\"http://www.usgs.gov/water/southatlantic/\" data-mce-href=\"http://www.usgs.gov/water/southatlantic/\">http://www.usgs.gov/water/southatlantic/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract&nbsp;</li><li>Introduction</li><li>Hydrologic Conditions 2015–16&nbsp;</li><li>Methods of Investigation</li><li>Hydrogeology</li><li>Claiborne Aquifer Hydrology and Interconnection With the Upper Floridan Aquifer&nbsp;</li><li>Summary and Conclusions&nbsp;</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-04-24","noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"58ff0e96e4b006455f2d619e","contributors":{"authors":[{"text":"Gordon, Debbie W. 0000-0002-5195-6657 dwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-5195-6657","contributorId":189297,"corporation":false,"usgs":true,"family":"Gordon","given":"Debbie W.","email":"dwarner@usgs.gov","affiliations":[],"preferred":false,"id":684421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonthier, Gerard  0000-0003-4078-8579 gonthier@usgs.gov","orcid":"https://orcid.org/0000-0003-4078-8579","contributorId":3141,"corporation":false,"usgs":true,"family":"Gonthier","given":"Gerard ","email":"gonthier@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":684422,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187129,"text":"70187129 - 2017 - When mechanism matters: Bayesian forecasting using models of ecological diffusion","interactions":[],"lastModifiedDate":"2017-04-24T14:27:01","indexId":"70187129","displayToPublicDate":"2017-04-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"When mechanism matters: Bayesian forecasting using models of ecological diffusion","docAbstract":"<p><span>Ecological diffusion is a theory that can be used to understand and forecast spatio-temporal processes such as dispersal, invasion, and the spread of disease. Hierarchical Bayesian modelling provides a framework to make statistical inference and probabilistic forecasts, using mechanistic ecological models. To illustrate, we show how hierarchical Bayesian models of ecological diffusion can be implemented for large data sets that are distributed densely across space and time. The hierarchical Bayesian approach is used to understand and forecast the growth and geographic spread in the prevalence of chronic wasting disease in white-tailed deer (</span><i>Odocoileus virginianus</i><span>). We compare statistical inference and forecasts from our hierarchical Bayesian model to phenomenological regression-based methods that are commonly used to analyse spatial occurrence data. The mechanistic statistical model based on ecological diffusion led to important ecological insights, obviated a commonly ignored type of collinearity, and was the most accurate method for forecasting.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ele.12763","usgsCitation":"Hefley, T.J., Hooten, M., Russell, R.E., Walsh, D.P., and Powell, J.A., 2017, When mechanism matters: Bayesian forecasting using models of ecological diffusion: Ecology Letters, v. 20, no. 5, p. 640-650, https://doi.org/10.1111/ele.12763.","productDescription":"11 p.","startPage":"640","endPage":"650","ipdsId":"IP-074169","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":340206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-31","publicationStatus":"PW","scienceBaseUri":"58ff0e99e4b006455f2d61a4","contributors":{"authors":[{"text":"Hefley, Trevor J.","contributorId":147146,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor","email":"","middleInitial":"J.","affiliations":[{"id":16796,"text":"Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":692661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":692658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":692659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":692660,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Powell, James A.","contributorId":190683,"corporation":false,"usgs":false,"family":"Powell","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":692662,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70187120,"text":"70187120 - 2017 - Density-driven free-convection model for isotopically fractionated geogenic nitrate in sabkha brine","interactions":[],"lastModifiedDate":"2018-08-09T12:25:55","indexId":"70187120","displayToPublicDate":"2017-04-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Density-driven free-convection model for isotopically fractionated geogenic nitrate in sabkha brine","docAbstract":"<p><span>Subsurface brines with high nitrate (NO</span><sub>3</sub><sup>−</sup><span>) concentration are common in desert environments as atmospheric nitrogen is concentrated by the evaporation of precipitation and little nitrogen uptake. However, in addition to having an elevated mean concentration of ∼525 mg/L (as N), NO</span><sub>3</sub><sup>−</sup><span> in the coastal sabkhas of Abu Dhabi is enriched in </span><sup>15</sup><span>N (mean δ</span><sup>15</sup><span>N ∼17‰), which is an enigma. A NO</span><sub>3</sub><sup>−</sup><span> solute mass balance analysis of the sabkha aquifer system suggests that more than 90% of the nitrogen is from local atmospheric deposition and the remainder from ascending brine. In contrast, isotopic mass balances based on Δ</span><sup>17</sup><span>O, δ</span><sup>15</sup><span>N, and δ</span><sup>18</sup><span>O data suggest approximately 80 to 90% of the NO</span><sub>3</sub><sup>−</sup><span> could be from ascending brine. As the sabkha has essentially no soil, no vegetation, and no anthropogenic land or water use, we propose to resolve this apparent contradiction with a density-driven free-convection transport model. In this conceptual model, the density of rain is increased by solution of surface salts, transporting near-surface oxygenated NO</span><sub>3</sub><sup>−</sup><span> bearing water downward where it encounters reducing conditions and mixes with oxygen-free ascending geologic brines. In this environment, NO</span><sub>3</sub><sup>−</sup><span> is partially reduced to nitrogen gas (N</span><sub>2</sub><span>), thus enriching the remaining NO</span><sub>3</sub><sup>−</sup><span> in heavy isotopes. The isotopically fractionated NO</span><sub>3</sub><sup>−</sup><span> and nitrogen gas return to the near-surface oxidizing environment on the upward displacement leg of the free-convection cycle, where the nitrogen gas is released to the atmosphere and new NO</span><sub>3</sub><sup>−</sup><span> is added to the system from atmospheric deposition. This recharge/recycling process has operated over many cycles in the 8000-year history of the shallow aquifer, progressively concentrating and isotopically fractionating the NO</span><sub>3</sub><sup>−</sup><span>.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12463","usgsCitation":"Wood, W., and Bohlke, J., 2017, Density-driven free-convection model for isotopically fractionated geogenic nitrate in sabkha brine: Groundwater, v. 55, no. 2, p. 199-207, https://doi.org/10.1111/gwat.12463.","productDescription":"9 p.","startPage":"199","endPage":"207","ipdsId":"IP-075480","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":340170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Arab Emirates","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              51.92138671874999,\n              23.88081490545854\n            ],\n            [\n              54.84375,\n              23.88081490545854\n            ],\n            [\n              54.84375,\n              24.93127614538456\n            ],\n            [\n              51.92138671874999,\n              24.93127614538456\n            ],\n            [\n              51.92138671874999,\n              23.88081490545854\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-28","publicationStatus":"PW","scienceBaseUri":"58ff0e9ae4b006455f2d61ac","contributors":{"authors":[{"text":"Wood, Warren W.","contributorId":47770,"corporation":false,"usgs":false,"family":"Wood","given":"Warren W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":692578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":692577,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70186762,"text":"ds1047 - 2017 - Digitized analog boomer seismic-reflection data collected during U.S. Geological Survey cruises Erda 90-1_HC, Erda 90-1_PBP, and Erda 91-3 in Mississippi Sound, June 1990 and September 1991","interactions":[],"lastModifiedDate":"2017-04-21T10:51:50","indexId":"ds1047","displayToPublicDate":"2017-04-21T09:00:00","publicationYear":"2017","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":"1047","title":"Digitized analog boomer seismic-reflection data collected during U.S. Geological Survey cruises Erda 90-1_HC, Erda 90-1_PBP, and Erda 91-3 in Mississippi Sound, June 1990 and September 1991","docAbstract":"<p>The U.S. Geological Survey (USGS) Coastal and Marine Geology Program has actively collected geophysical and sedimentological data in the northern Gulf of Mexico for several decades, including shallow subsurface data in the form of high-resolution seismic-reflection profiles (HRSP). Prior to the mid-1990s most HRSP data were collected in analog format as paper rolls of continuous profiles up to 25 meters long. A large portion of this data resides in a single repository with minimal metadata. As part of the National Geological and Geophysical Data Preservation Program, scientists at the USGS St. Petersburg Coastal and Marine Science Center are converting the analog paper records to digital format using a large-format continuous scanner.</p><p>This report, along with the accompanying USGS data release (Bosse and others, 2017), serves as an archive of seismic profiles with headers, converted Society of Exploration Geophysicists Y format (SEG-Y) files, navigation data, and geographic information system data files for digitized boomer seismic-reflection data collected from the Research Vessel (R/V) <i>Erda</i> during two cruises in 1990 and 1991. The Erda 90-1 geophysical cruise was conducted in two legs. The first leg included seismic data collected from the Hancock County region of the Mississippi Sound (Erda 90-1_HC) from June 4 to June 6, 1990. The second leg included seismic data collected from the Petit Bois Pass area of Mississippi Sound (Erda 90-1_PBP) from June 8 to June 9, 1990. The Erda 91-3 cruise occurred between September 12 and September 23, 1991, and surveyed the Mississippi Sound region just west of Horn Island, Mississippi.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1047","usgsCitation":"Bosse, S.T., Flocks, J.G., and Forde, A.S., 2017, Digitized analog boomer seismic-reflection data collected during U.S. Geological Survey cruises Erda 90-1_HC, Erda 90-1_PBP, and Erda 91-3 in Mississippi Sound, June 1990 and September 1991: U.S. Geological Survey Data Series 1047, https://doi.org/10.3133/ds1047.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-081454","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491684,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14HK9XR","text":"USGS data release","linkHelpText":"Archive of Digitized Analog Boomer Seismic Reflection Data Collected Offshore of Mississippi, Alabama, and Florida in 1975: MAFLA 1975"},{"id":438366,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EFUAN3","text":"USGS data release","linkHelpText":"Archive of Digitized Analog Boomer Seismic Reflection Data Collected from the Northern Gulf of Mexico: Intersea 1980"},{"id":438365,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YA25SF","text":"USGS data release","linkHelpText":"Archive of Digitized Analog Boomer Seismic Reflection Data Collected from the Northern Gulf of Mexico: 1982, 1985, 1989, 1991, and 1992 "},{"id":438364,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L3W3MX","text":"USGS data release","linkHelpText":"Archive of Digitized Analog Boomer Seismic Reflection Data Collected During USGS Cruise Kit Jones 92-1 Along the Florida Shelf, July 1992"},{"id":339824,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1047/coverthb.jpg"},{"id":339825,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1047/index.html","text":"Report HTML"},{"id":339828,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BV7DRT","text":"USGS data release","description":"USGS data release","linkHelpText":"Archive of Digitized Analog Boomer Seismic-Reflection Data Collected During U.S. Geological Survey Cruises Erda 90-1_HC, Erda 90-1_PBP, and Erda 91-3 in Mississippi Sound, June 1990 and September 1991"}],"contact":"<p>St. Petersburg Coastal and Marine Science Center<br> U.S. Geological Survey<br> 600 4th Street South<br> St. Petersburg, FL 33701<br> <a href=\"https://coastal.er.usgs.gov/\" data-mce-href=\"https://coastal.er.usgs.gov/\">https://coastal.er.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Survey Overview</li><li>Data Acquisition</li><li>Data Processing</li><li>Data Downloads</li><li>Abbreviations</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-04-21","noUsgsAuthors":false,"publicationDate":"2017-04-21","publicationStatus":"PW","scienceBaseUri":"58fb1a48e4b0c3010a8087b1","contributors":{"authors":[{"text":"Bosse, Stephen T. 0000-0001-6110-2973 sbosse@usgs.gov","orcid":"https://orcid.org/0000-0001-6110-2973","contributorId":189712,"corporation":false,"usgs":true,"family":"Bosse","given":"Stephen","email":"sbosse@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":690486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":690487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":690488,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179441,"text":"ofr20161206 - 2017 - Longshore water-current velocity and the potential for transport of contaminants—A pilot study in Lake Erie from Walnut Creek to Presque Isle State Park beaches, Erie, Pennsylvania, June and August 2015","interactions":[],"lastModifiedDate":"2017-04-21T13:28:13","indexId":"ofr20161206","displayToPublicDate":"2017-04-20T13:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1206","title":"Longshore water-current velocity and the potential for transport of contaminants—A pilot study in Lake Erie from Walnut Creek to Presque Isle State Park beaches, Erie, Pennsylvania, June and August 2015","docAbstract":"<p>Bacteria-driven restrictions and (or) advisories on swimming at beaches in Presque Isle State Park (PISP), Erie, Pennsylvania, can occur during the summer months. One of the suspected sources of bacteria is sediment. A terrestrial sediment source to the west of PISP is Walnut Creek, which discharges to Lake Erie about 8.5 kilometers southwest of PISP Beach 1. On June 24, June 25, August 18, and August 19, 2015, synoptic surveys were conducted by the U.S. Geological Survey, in cooperation with the Pennsylvania Sea Grant, in Lake Erie between Walnut Creek and PISP Beach 1 to characterize the water-current velocity and direction to determine whether sediment from Walnut Creek could be affecting the PISP beaches. Water-quality data (temperature, specific conductance, and turbidity) were collected in conjunction with the synoptic surveys in June. Water-quality data (<i>Escherichia coli</i> [<i>E. coli</i>] bacteria, temperature, and turbidity) were collected about a meter from the shore (nearshore) on June 24, August 19, and after a precipitation event on August 11, 2015. Additionally, suspended sediment was collected nearshore on June 24 and August 11, 2015. Samples collected near Walnut Creek during all three bacterial sampling events contained higher counts than other samples. Counts steadily decreased from west to east, then increased about 1–2 kilometers from PISP Beach 1; however, this study was not focused on examining other potential sources of bacteria.</p><p>The Velocity Mapping Toolbox (VMT) was used to process the water-current synoptic surveys, and the results were visualized within ArcMap. For the survey accomplished on June 24, 2015, potential paths a particle could take between Walnut Creek and PSIP Beach 1 if conditions remained steady over a number of hours were visualized. However, the water-current velocity and direction were variable from one day to the other, indicating this was likely an unrealistic assumption for the study area. This analysis was not accomplished for the other surveys due to unsteady lake conditions encountered on June 25 and August 18, and reduced quality of the survey on August 19.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161206","collaboration":"Prepared in cooperation with the Pennsylvania Sea Grant","usgsCitation":"Hittle, Elizabeth, 2017, Longshore water-current velocity and the potential for transport of contaminants—A pilot study in Lake Erie from Walnut Creek to Presque Isle State Park beaches, Erie, Pennsylvania, June and August 2015: U.S. Geological Survey Open-File Report 2016–1206, 126 p., https://doi.org/10.3133/ofr20161206.","productDescription":"Report: x, 126 p.; Appendixes 2-1 - 2-3; Data Release","numberOfPages":"140","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-077254","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":438368,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7KP808D","text":"USGS data release","linkHelpText":"Data Collected in Support of the Longshore Water-Current Velocity and the Potential for Transport of Contaminants pilot study in Lake Erie from Walnut Creek to Presque Isle State Park Beaches, Erie, Pennsylvania"},{"id":339295,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7KP808D","text":"USGS data release","description":"USGS data release","linkHelpText":"Longshore Water-Current Velocity and the Potential for Transport of Contaminants: A pilot study in Lake Erie from Walnut Creek to Presque Isle State Park Beaches, Erie, Pennsylvania, June and August 2015"},{"id":339174,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1206/coverthb2.jpg"},{"id":339175,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1206/ofr20161206.pdf","text":"Report","size":"28.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1206"},{"id":339176,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1206/ofr20161206_appendix2-1.csv","text":"Appendix 2-1","size":"1.29 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"- Regression Statistics for Figures 23-25"},{"id":339178,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1206/ofr20161206_appendix2-3.csv","text":"Appendix 2-3","size":"1.25 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"- Regression Statistics for Figures 23-25"},{"id":339177,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1206/ofr20161206_appendix2-2.csv","text":"Appendix 2-2","size":"1.29 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"- Regression Statistics for Figures 23-25"}],"country":"United States","state":"Pennsylvania","city":"Erie","otherGeospatial":"Lake Erie, Presque Isle State Park, Walnut Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.25,\n              42.06667\n            ],\n            [\n              -80.13333,\n              42.06667\n            ],\n            [\n              -80.13333,\n              42.13333\n            ],\n            [\n              -80.25,\n              42.13333\n            ],\n            [\n              -80.25,\n              42.06667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_pa@usgs.gov\" data-mce-href=\"mailto:dc_pa@usgs.gov\">Director</a>, Pennsylvania Water Science Center<br> U.S. Geological Survey<br> 215 Limekiln Road<br> New Cumberland, PA 17070 <br> <a href=\"https://pa.water.usgs.gov/\" data-mce-href=\"https://pa.water.usgs.gov/\">https://pa.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract&nbsp;</li><li>Introduction</li><li>Pilot Study Data Collection</li><li>Observations</li><li>Potential for Transport of Contaminants</li><li>Future Studies</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Velocity Mapping Toolbox Depictions of Transect Cross-Sections Showing Velocity Magnitude and Direction of Water Currents</li><li>Appendix 2. Regression Statistics for Figures 23–25&nbsp;</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2017-04-20","noUsgsAuthors":false,"publicationDate":"2017-04-20","publicationStatus":"PW","scienceBaseUri":"58f9c8cce4b0b7ea545240e7","contributors":{"authors":[{"text":"Hittle, Elizabeth A. 0000-0002-1771-7724 ehittle@usgs.gov","orcid":"https://orcid.org/0000-0002-1771-7724","contributorId":2038,"corporation":false,"usgs":true,"family":"Hittle","given":"Elizabeth","email":"ehittle@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":657208,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70188800,"text":"70188800 - 2017 - A foundation for future assessment and management of groundwater resources","interactions":[],"lastModifiedDate":"2017-07-11T08:35:29","indexId":"70188800","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A foundation for future assessment and management of groundwater resources","docAbstract":"Sequence stratigraphic models for the Pleistocene to Holocene sediments of the Los Angeles (LA) Basin will provide better understanding of\nregional groundwater flow and have helped identify seawater intrusion pathways into important groundwater aquifers. Because groundwater\nprovides more than one-third of the municipal water supply for the coastal LA Basin, the aquifer architecture of this system is a high priority\nfor groundwater managers. Seismic and sequence stratigraphy are now incorporated into groundwater resource assessments and environmental\ninvestigations. By evaluating subsurface data using sequence stratigraphy, the geometry and distribution of aquifer and aquitard sediments are\ndefined, thus groundwater contaminant plumes and sea water intrusion pathways are better understood. The U. S. Geological Survey (USGS),\nin cooperation with Los Angeles County Department of Public Works and the Water Replenishment District of Southern California undertook\nan investigation of the groundwater stratigraphy of the Wilmington – Long Beach area of the LA Basin. Sequence stratigraphic methods were\nused to integrate preexisting groundwater well data with: (1) new borehole observations, (2) structural and physical properties data derived\nfrom geophysical measurements, (3) hi-resolution seismic reflection data obtained offshore of the present shoreline, and (4) vintage oil\ncompany exploration seismic reflection data from both onshore and offshore of the shoreline. These data were used to construct a series of\nPleistocene to Holocene environment of deposition maps that show the overall progradation of sequences seaward over time. In addition,\nseawater intrusion pathways into coastal groundwater aquifers were identified and mapped. On a more regional scale, a vintage Texaco seismic\nreflection data set from the greater LA Basin was interpreted and integrated with a regional network of multi-level ground-water monitoring\nwells. The sequence stratigraphic correlation shows that many of the defined groundwater aquifers are not correlative. For example, one of the\nmajor groundwater supply aquifers, the Silverado Aquifer, when tied to the seismic reflection data has different ages depending on location.\nThis new understanding demonstrates the need for a re-evaluation of the Pleistocene to Holocene stratigraphy using existing seismic reflection\ndata integrated with well data from the LA Basin in order to understand the regional distribution of groundwater aquifers.","conferenceTitle":"AAPG Annual convention and Exhibition","conferenceDate":"April 2-5, 2017","conferenceLocation":"Houston, TX","language":"English","publisher":"AAPG","usgsCitation":"Ehman, K.D., and Edwards, B.D., 2017, A foundation for future assessment and management of groundwater resources, AAPG Annual convention and Exhibition, Houston, TX, April 2-5, 2017, 18 p.","productDescription":"18 p.","ipdsId":"IP-083334","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":342842,"type":{"id":15,"text":"Index Page"},"url":"https://www.searchanddiscovery.com/pdfz/documents/2017/80599ehman/ndx_ehman.pdf.html"},{"id":342846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59521d20e4b062508e3c3669","contributors":{"authors":[{"text":"Ehman, Kenneth D.","contributorId":64745,"corporation":false,"usgs":true,"family":"Ehman","given":"Kenneth","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":700428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Brian D. bedwards@usgs.gov","contributorId":3161,"corporation":false,"usgs":true,"family":"Edwards","given":"Brian","email":"bedwards@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":700427,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190113,"text":"70190113 - 2017 - Mineralization dynamics of metakaolin-based alkali-activated cements","interactions":[],"lastModifiedDate":"2017-08-12T08:49:10","indexId":"70190113","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5475,"text":"Cement and Concrete Research","active":true,"publicationSubtype":{"id":10}},"title":"Mineralization dynamics of metakaolin-based alkali-activated cements","docAbstract":"<div class=\"abstract svAbstract \" data-etype=\"ab\"><p id=\"sp0065\">This paper investigates the early-age dynamics of mineral formation in metakaolin-based alkali-activated cements. The effects of silica availability and alkali content on mineral formation were investigated<span>&nbsp;</span><i>via</i><span>&nbsp;</span>X-ray diffraction and solid-state<span>&nbsp;</span><sup>29</sup>Si magic-angle spinning nuclear magnetic resonance spectroscopy at 2, 7, 14, and 28&nbsp;days. Silica availability was controlled by using either liquid- (immediate) or solid-based (gradual) sodium silicate supplements. Mineral (zeolitic) and amorphous microstructural characteristics were correlated with observed changes in bulk physical properties, namely shrinkage, density, and porosity. Results demonstrate that, while alkali content controls the mineralization in immediately available silica systems, alkali content controls the silica availability in gradually available silica systems. Immediate silica availability generally leads to a more favorable mineral formation as demonstrated by correlated improvements in bulk physical properties.</p></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.cemconres.2017.01.001","usgsCitation":"Gevaudan, J.P., Campbell, K.M., Kane, T., Shoemaker, R.K., and Srubar, W.V., 2017, Mineralization dynamics of metakaolin-based alkali-activated cements: Cement and Concrete Research, v. 94, p. 1-12, https://doi.org/10.1016/j.cemconres.2017.01.001.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-080147","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469914,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cemconres.2017.01.001","text":"Publisher Index Page"},{"id":344782,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59901398e4b09fa1cb178927","contributors":{"authors":[{"text":"Gevaudan, Juan Pablo","contributorId":195585,"corporation":false,"usgs":false,"family":"Gevaudan","given":"Juan","email":"","middleInitial":"Pablo","affiliations":[],"preferred":false,"id":707541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kane, Tyler 0000-0003-2511-7312 tkane@usgs.gov","orcid":"https://orcid.org/0000-0003-2511-7312","contributorId":195588,"corporation":false,"usgs":true,"family":"Kane","given":"Tyler","email":"tkane@usgs.gov","affiliations":[],"preferred":true,"id":707544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shoemaker, Richard K.","contributorId":195586,"corporation":false,"usgs":false,"family":"Shoemaker","given":"Richard","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":707542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Srubar, Wil V. III","contributorId":195587,"corporation":false,"usgs":false,"family":"Srubar","given":"Wil","suffix":"III","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":707543,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70187021,"text":"70187021 - 2017 - Evaluation of harvest and information needs for North American sea ducks","interactions":[],"lastModifiedDate":"2017-04-19T10:23:30","indexId":"70187021","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of harvest and information needs for North American sea ducks","docAbstract":"<p><span>Wildlife managers routinely seek to establish sustainable limits of sport harvest or other regulated forms of take while confronted with considerable uncertainty. A growing body of ecological research focuses on methods to describe and account for uncertainty in management decision-making and to prioritize research and monitoring investments to reduce the most influential uncertainties. We used simulation methods incorporating measures of demographic uncertainty to evaluate risk of overharvest and prioritize information needs for North American sea ducks (Tribe </span><i>Mergini</i><span>). Sea ducks are popular game birds in North America, yet they are poorly monitored and their population dynamics are poorly understood relative to other North American waterfowl. There have been few attempts to assess the sustainability of harvest of North American sea ducks, and no formal harvest strategy exists in the U.S. or Canada to guide management. The popularity of sea duck hunting, extended hunting opportunity for some populations (i.e., special seasons and/or bag limits), and population declines have led to concern about potential overharvest. We used Monte Carlo simulation to contrast estimates of allowable harvest and observed harvest and assess risk of overharvest for 7 populations of North American sea ducks: the American subspecies of common eider (</span><i>Somateria mollissima dresseri</i><span>), eastern and western populations of black scoter (</span><i>Melanitta americana</i><span>) and surf scoter (</span><i>M</i><span>. </span><i>perspicillata</i><span>), and continental populations of white-winged scoter (</span><i>M</i><span>. </span><i>fusca</i><span>) and long-tailed duck (</span><i>Clangula hyemalis</i><span>). We combined information from empirical studies and the opinions of experts through formal elicitation to create probability distributions reflecting uncertainty in the individual demographic parameters used in this assessment. Estimates of maximum growth (</span><i>r</i><sub>max</sub><span>), and therefore of allowable harvest, were highly uncertain for all populations. Long-tailed duck and American common eider appeared to be at high risk of overharvest (i.e., observed harvest &lt; allowable harvest in 5–7% and 19–26% of simulations, respectively depending on the functional form of density dependence), whereas the other populations appeared to be at moderate risk to low risk (observed harvest &lt; allowable harvest in 22–68% of simulations, again conditional on the form of density dependence). We also evaluated the sensitivity of the difference between allowable and observed harvest estimates to uncertainty in individual demographic parameters to prioritize information needs. We found that uncertainty in overall fecundity had more influence on comparisons of allowable and observed harvest than adult survival or observed harvest for all species except long-tailed duck. Although adult survival was characterized by less uncertainty than individual components of fecundity, it was identified as a high priority information need given the sensitivity of growth rate and allowable harvest to this parameter. Uncertainty about population size was influential in the comparison of observed and allowable harvest for 5 of the 6 populations where it factored into the assessment. While this assessment highlights a high degree of uncertainty in allowable harvest, it provides a framework for integration of improved data from future research and monitoring. It could also serve as the basis for harvest strategy development as management objectives and regulatory alternatives are specified by the management community.</span></p>","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0175411","usgsCitation":"Koneff, M.D., Zimmerman, G.S., Dwyer, C.P., Fleming, K.K., Padding, P.I., Devers, P.K., Johnson, F.A., Runge, M.C., and Roberts, A.J., 2017, Evaluation of harvest and information needs for North American sea ducks: PLoS ONE, v. 12, no. 4, p. 1-29, https://doi.org/10.1371/journal.pone.0175411.","productDescription":"e0175411; 29 p.","startPage":"1","endPage":"29","ipdsId":"IP-076232","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":461631,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0175411","text":"Publisher Index Page"},{"id":339928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"58f87798e4b0b7ea54521be6","contributors":{"authors":[{"text":"Koneff, Mark D.","contributorId":191128,"corporation":false,"usgs":false,"family":"Koneff","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":691927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, Guthrie S.","contributorId":42473,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":691928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dwyer, Chris P.","contributorId":127734,"corporation":false,"usgs":false,"family":"Dwyer","given":"Chris","email":"","middleInitial":"P.","affiliations":[{"id":7131,"text":"United States Department of the Interior, United States Fish and Wildlife Service, Northeast Region, Division of Migratory Birds, Hadley, MA 01035, USA.","active":true,"usgs":false}],"preferred":false,"id":691929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleming, Kathleen K.","contributorId":191129,"corporation":false,"usgs":false,"family":"Fleming","given":"Kathleen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":691930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Padding, Paul I.","contributorId":191130,"corporation":false,"usgs":false,"family":"Padding","given":"Paul","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":691931,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Devers, Patrick K.","contributorId":167173,"corporation":false,"usgs":false,"family":"Devers","given":"Patrick","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":691932,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":691926,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":691933,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Roberts, Anthony J.","contributorId":191131,"corporation":false,"usgs":false,"family":"Roberts","given":"Anthony","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":691955,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70190130,"text":"70190130 - 2017 - Carbonate buffering and metabolic controls on carbon dioxide in rivers","interactions":[],"lastModifiedDate":"2018-01-30T21:09:43","indexId":"70190130","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Carbonate buffering and metabolic controls on carbon dioxide in rivers","docAbstract":"<p><span>Multiple processes support the significant efflux of carbon dioxide (CO</span><sub>2</sub><span>) from rivers and streams. Attribution of CO</span><sub>2</sub><span><span>&nbsp;</span>oversaturation will lead to better quantification of the freshwater carbon cycle and provide insights into the net cycling of nutrients and pollutants. CO</span><sub>2</sub><span><span>&nbsp;</span>production is closely related to O</span><sub>2</sub><span>consumption because of the metabolic linkage of these gases. However, this relationship can be weakened due to dissolved inorganic carbon inputs from groundwater, carbonate buffering, calcification, and anaerobic metabolism. CO</span><sub>2</sub><span>and O</span><sub>2</sub><span><span>&nbsp;</span>concentrations and other water quality parameters were analyzed in two data sets: a synoptic field study and nationwide water quality monitoring data. CO</span><sub>2</sub><span><span>&nbsp;</span>and O</span><sub>2</sub><span><span>&nbsp;</span>concentrations were strongly negatively correlated in both data sets (</span><i>ρ</i><span> = −0.67 and<span>&nbsp;</span></span><i>ρ</i><span> = −0.63, respectively), although the correlations were weaker in high-alkalinity environments. In nearly all samples, the molar oversaturation of CO</span><sub>2</sub><span><span>&nbsp;</span>was a larger magnitude than molar O</span><sub>2</sub><span><span>&nbsp;</span>undersaturation. We used a dynamically coupled O</span><sub>2</sub><img src=\"http://onlinelibrarystatic.wiley.com/undisplayable_characters/00f8ff.gif\" alt=\"[BOND]\" data-mce-src=\"http://onlinelibrarystatic.wiley.com/undisplayable_characters/00f8ff.gif\"><span>CO</span><sub>2</sub><span><span>&nbsp;</span>model to show that lags in CO</span><sub>2</sub><span><span>&nbsp;</span>air-water equilibration are a likely cause of this phenomenon. Lags in CO</span><sub>2</sub><span><span>&nbsp;</span>equilibration also impart landscape-scale differences in the behavior of CO</span><sub>2</sub><span><span>&nbsp;</span>between high- and low-alkalinity watersheds. Although the concept of carbonate buffering and how it creates lags in CO</span><sub>2</sub><span><span>&nbsp;</span>equilibration with the atmosphere is well understood, it has not been sufficiently integrated into our understanding of CO</span><sub>2</sub><span><span>&nbsp;</span>dynamics in freshwaters. We argue that the consideration of carbonate equilibria and its effects on CO</span><sub>2</sub><span><span>&nbsp;</span>dynamics are primary steps in understanding the sources and magnitude of CO</span><sub>2</sub><span><span>&nbsp;</span>oversaturation in rivers and streams.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GB005578","usgsCitation":"Stets, E.G., Butman, D., McDonald, C.P., Stackpoole, S.M., DeGrandpre, M.D., and Striegl, R.G., 2017, Carbonate buffering and metabolic controls on carbon dioxide in rivers: Global Biogeochemical Cycles, v. 31, no. 4, p. 663-677, https://doi.org/10.1002/2016GB005578.","productDescription":"15 p.","startPage":"663","endPage":"677","ipdsId":"IP-084222","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-11","publicationStatus":"PW","scienceBaseUri":"598e907ee4b09fa1cb16097a","contributors":{"authors":[{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butman, David 0000-0003-3520-7426 dbutman@usgs.gov","orcid":"https://orcid.org/0000-0003-3520-7426","contributorId":174187,"corporation":false,"usgs":true,"family":"Butman","given":"David","email":"dbutman@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, Cory P. 0000-0002-1208-8471 cmcdonald@usgs.gov","orcid":"https://orcid.org/0000-0002-1208-8471","contributorId":4238,"corporation":false,"usgs":true,"family":"McDonald","given":"Cory","email":"cmcdonald@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stackpoole, Sarah M. 0000-0002-5876-4922 sstackpoole@usgs.gov","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":3784,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"sstackpoole@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":707604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeGrandpre, Michael D.","contributorId":187412,"corporation":false,"usgs":false,"family":"DeGrandpre","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":707605,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":707606,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187013,"text":"70187013 - 2017 - Stable isotopic composition of perchlorate and nitrate accumulated in plants: Hydroponic experiments and field data","interactions":[],"lastModifiedDate":"2017-04-19T10:37:40","indexId":"70187013","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Stable isotopic composition of perchlorate and nitrate accumulated in plants: Hydroponic experiments and field data","docAbstract":"<p><span>Natural perchlorate (ClO</span><sub>4</sub><sup>−</sup><span>) in soil and groundwater exhibits a wide range in stable isotopic compositions (δ</span><sup>37</sup><span>Cl, δ</span><sup>18</sup><span>O, and Δ</span><sup>17</sup><span>O), indicating that ClO</span><sub>4</sub><sup>−</sup><span> may be formed through more than one pathway and/or undergoes post-depositional isotopic alteration. Plants are known to accumulate ClO</span><sub>4</sub><sup>−</sup><span>, but little is known about their ability to alter its isotopic composition. We examined the potential for plants to alter the isotopic composition of ClO</span><sub>4</sub><sup>−</sup><span> in hydroponic and field experiments conducted with snap beans (</span><i>Phaseolus vulgaris</i><span> L.). In hydroponic studies, anion ratios indicated that ClO</span><sub>4</sub><sup>−</sup><span> was transported from solutions into plants similarly to NO</span><sub>3</sub><sup>−</sup><span> but preferentially to Cl</span><sup>−</sup><span> (4-fold). The ClO</span><sub>4</sub><sup>−</sup><span> isotopic compositions of initial ClO</span><sub>4</sub><sup>−</sup><span> reagents, final growth solutions, and aqueous extracts from plant tissues were essentially indistinguishable, indicating no significant isotope effects during ClO</span><sub>4</sub><sup>−</sup><span> uptake or accumulation. The ClO</span><sub>4</sub><sup>−</sup><span> isotopic composition of field-grown snap beans was also consistent with that of ClO</span><sub>4</sub><sup>−</sup><span> in varying proportions from irrigation water and precipitation. NO</span><sub>3</sub><sup>−</sup><span> uptake had little or no effect on NO</span><sub>3</sub><sup>−</sup><span> isotopic compositions in hydroponic solutions. However, a large fractionation effect with an apparent ε (</span><sup>15</sup><span>N/</span><sup>18</sup><span>O) ratio of 1.05 was observed between NO</span><sub>3</sub><sup>−</sup><span> in hydroponic solutions and leaf extracts, consistent with partial NO</span><sub>3</sub><sup>−</sup><span> reduction during assimilation within plant tissue. We also explored the feasibility of evaluating sources of ClO</span><sub>4</sub><sup>−</sup><span> in commercial produce, as illustrated by spinach, for which the ClO</span><sub>4</sub><sup>−</sup><span> isotopic composition was similar to that of indigenous natural ClO</span><sub>4</sub><sup>−</sup><span>. Our results indicate that some types of plants can accumulate and (presumably) release ClO</span><sub>4</sub><sup>−</sup><span> to soil and groundwater without altering its isotopic characteristics. Concentrations and isotopic compositions of ClO</span><sub>4</sub><sup>−</sup><span>and NO</span><sub>3</sub><sup>−</sup><span> in plants may be useful for determining sources of fertilizers and sources of ClO</span><sub>4</sub><sup>−</sup><span> in their growth environments and consequently in food supplies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.03.223","usgsCitation":"Estrada, N.L., Bohlke, J., Sturchio, N.C., Gu, B., Harvey, G., Burkey, K.O., Grantz, D.A., McGrath, M.T., Anderson, T.A., Rao, B., Sevanthi, R., Hatzinger, P.B., and Jackson, W.A., 2017, Stable isotopic composition of perchlorate and nitrate accumulated in plants: Hydroponic experiments and field data: Science of the Total Environment, v. 595, p. 556-566, https://doi.org/10.1016/j.scitotenv.2017.03.223.","productDescription":"11 p.","startPage":"556","endPage":"566","ipdsId":"IP-084213","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469917,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1416052","text":"Publisher Index Page"},{"id":339931,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"595","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877a7e4b0b7ea54521bee","contributors":{"authors":[{"text":"Estrada, Nubia Luz","contributorId":191104,"corporation":false,"usgs":false,"family":"Estrada","given":"Nubia","email":"","middleInitial":"Luz","affiliations":[],"preferred":false,"id":691883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":691882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":691884,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gu, Baohua","contributorId":191105,"corporation":false,"usgs":false,"family":"Gu","given":"Baohua","email":"","affiliations":[],"preferred":false,"id":691885,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harvey, Greg","contributorId":191106,"corporation":false,"usgs":false,"family":"Harvey","given":"Greg","email":"","affiliations":[],"preferred":false,"id":691886,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burkey, Kent O.","contributorId":191107,"corporation":false,"usgs":false,"family":"Burkey","given":"Kent","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":691887,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grantz, David A.","contributorId":191108,"corporation":false,"usgs":false,"family":"Grantz","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":691888,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGrath, Margaret T.","contributorId":191109,"corporation":false,"usgs":false,"family":"McGrath","given":"Margaret","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":691889,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Anderson, Todd A.","contributorId":191110,"corporation":false,"usgs":false,"family":"Anderson","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":691890,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rao, Balaji","contributorId":191111,"corporation":false,"usgs":false,"family":"Rao","given":"Balaji","email":"","affiliations":[],"preferred":false,"id":691891,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sevanthi, Ritesh","contributorId":191112,"corporation":false,"usgs":false,"family":"Sevanthi","given":"Ritesh","email":"","affiliations":[],"preferred":false,"id":691892,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hatzinger, Paul B.","contributorId":149376,"corporation":false,"usgs":false,"family":"Hatzinger","given":"Paul","email":"","middleInitial":"B.","affiliations":[{"id":17721,"text":"Shaw Environmental, Princeton, NJ","active":true,"usgs":false}],"preferred":false,"id":691893,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jackson, W. Andrew","contributorId":191113,"corporation":false,"usgs":false,"family":"Jackson","given":"W.","email":"","middleInitial":"Andrew","affiliations":[],"preferred":false,"id":691894,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70193799,"text":"70193799 - 2017 - Migratory connectivity of american woodcock using band return data","interactions":[],"lastModifiedDate":"2017-11-08T14:21:46","indexId":"70193799","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Migratory connectivity of american woodcock using band return data","docAbstract":"<p><span>American woodcock (</span><i>Scolopax minor</i><span>) are managed as a Central and an Eastern population in the United States and Canada based on band return data showing little crossover between populations or management regions. The observed proportion of crossover between management regions, however, depends on the criteria used to subset the band return data. We analyzed the amount of crossover between management regions using only band return records that represent complete migrations between the breeding and wintering grounds by using only band return records in which the capture took place during the breeding season and the band recovery took place during the wintering season or vice versa (</span><i>n</i><span> = 224). Additionally, we applied spatial statistics and a clustering algorithm to investigate woodcock migratory connectivity using this subset of migratory woodcock band return records. Using raw counts, 17.9% of records showed crossover between management regions, a higher proportion than the &lt;5% crossover reported in studies that did not use only migratory band returns. Our results showed woodcock from the breeding grounds in the Central Region largely migrate to destinations within the Central Region, whereas woodcock from the breeding grounds in the Eastern Region migrate to destinations across the entire wintering range and mix with individuals from the Central Region. Using the division coefficient, we estimated that 54% of woodcock from the breeding grounds of the Eastern Region migrate to the Central Region wintering grounds. Our result that many woodcock from separate regions of the breeding grounds mix on the wintering grounds has implications for the 2-region basis for woodcock management. Elucidating finer scale movement patterns among regions provides a basis for reassessing the need for separate management regions to ensure optimal conservation and management of the species.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21269","usgsCitation":"Moore, J.D., and Krementz, D.G., 2017, Migratory connectivity of american woodcock using band return data: Journal of Wildlife Management, v. 81, no. 6, p. 1063-1072, https://doi.org/10.1002/jwmg.21269.","productDescription":"12 p.","startPage":"1063","endPage":"1072","ipdsId":"IP-080526","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.26806640624999,\n              45.1510532655634\n            ],\n            [\n              -74.0478515625,\n              46.31658418182218\n            ],\n            [\n              -77.1240234375,\n              47.54687159892238\n            ],\n            [\n              -82.0458984375,\n              48.48748647988415\n            ],\n            [\n              -86.0009765625,\n              48.86471476180277\n            ],\n            [\n              -89.033203125,\n              48.60385760823255\n            ],\n            [\n              -90.615234375,\n              48.019324184801185\n            ],\n            [\n              -93.603515625,\n              46.98025235521883\n            ],\n            [\n              -95.0537109375,\n              45.82879925192134\n            ],\n            [\n              -95.2294921875,\n              43.77109381775651\n            ],\n            [\n              -96.064453125,\n              39.40224434029275\n            ],\n            [\n              -96.15234375,\n              32.0639555946604\n            ],\n            [\n              -95.0537109375,\n              29.22889003019423\n            ],\n            [\n              -87.802734375,\n              30.751277776257812\n            ],\n            [\n              -85.62744140625,\n              34.77771580360469\n            ],\n            [\n              -80.74951171875,\n              37.59682400108367\n            ],\n            [\n              -74.02587890625,\n              41.32732632036622\n            ],\n            [\n              -71.7626953125,\n              43.229195113965005\n            ],\n            [\n              -72.26806640624999,\n              45.1510532655634\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"81","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-19","publicationStatus":"PW","scienceBaseUri":"5a0425b9e4b0dc0b45b4538e","contributors":{"authors":[{"text":"Moore, Joseph D.","contributorId":199996,"corporation":false,"usgs":false,"family":"Moore","given":"Joseph","email":"","middleInitial":"D.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":720543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":720542,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187020,"text":"70187020 - 2017 - Developing criteria to establish Trusted Digital Repositories","interactions":[],"lastModifiedDate":"2017-04-20T11:34:56","indexId":"70187020","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1368,"text":"Data Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"Developing criteria to establish Trusted Digital Repositories","docAbstract":"<p><span>This paper details the drivers, methods, and outcomes of the U.S. Geological Survey’s quest to establish criteria by which to judge its own digital preservation resources as Trusted Digital Repositories. Drivers included recent U.S. legislation focused on data and asset management conducted by federal agencies spending $100M USD or more annually on research activities. The methods entailed seeking existing evaluation criteria from national and international organizations such as International Standards Organization (ISO), U.S. Library of Congress, and Data Seal of </span><span>Approval upon which to model USGS repository evaluations. Certification, complexity, cost, and </span><span>usability of existing evaluation models were key considerations. The selected evaluation method was derived to allow the repository evaluation process to be transparent, understandable, and defensible; factors that are critical for judging competing, internal units. Implementing the chosen evaluation criteria involved establishing a cross-agency, multi-disciplinary team that interfaced across the organization.&nbsp;</span></p>","language":"English","publisher":"Ubiquity Press","doi":"10.5334/dsj-2017-022","usgsCitation":"Faundeen, J., 2017, Developing criteria to establish Trusted Digital Repositories: Data Science Journal, v. 16, p. 1-13, https://doi.org/10.5334/dsj-2017-022.","productDescription":"Article 22; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-085601","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469911,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5334/dsj-2017-022","text":"Publisher Index Page"},{"id":339929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877a6e4b0b7ea54521beb","contributors":{"authors":[{"text":"Faundeen, John 0000-0003-0287-2921 faundeen@usgs.gov","orcid":"https://orcid.org/0000-0003-0287-2921","contributorId":3097,"corporation":false,"usgs":true,"family":"Faundeen","given":"John","email":"faundeen@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":691919,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70186984,"text":"70186984 - 2017 - A lake-centric geospatial database to guide research and inform management decisions in an Arctic watershed in northern Alaska experiencing climate and land-use changes","interactions":[],"lastModifiedDate":"2017-10-02T12:59:38","indexId":"70186984","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":698,"text":"Ambio","active":true,"publicationSubtype":{"id":10}},"title":"A lake-centric geospatial database to guide research and inform management decisions in an Arctic watershed in northern Alaska experiencing climate and land-use changes","docAbstract":"<p><span>Lakes are dominant and diverse landscape features in the Arctic, but conventional land cover classification schemes typically map them as a single uniform class. Here, we present a detailed lake-centric geospatial database for an Arctic watershed in northern Alaska. We developed a GIS dataset consisting of 4362 lakes that provides information on lake morphometry, hydrologic connectivity, surface area dynamics, surrounding terrestrial ecotypes, and other important conditions describing Arctic lakes. Analyzing the geospatial database relative to fish and bird survey data shows relations to lake depth and hydrologic connectivity, which are being used to guide research and aid in the management of aquatic resources in the National Petroleum Reserve in Alaska. Further development of similar geospatial databases is needed to better understand and plan for the impacts of ongoing climate and land-use changes occurring across lake-rich landscapes in the Arctic.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13280-017-0915-9","usgsCitation":"Jones, B.M., Arp, C.D., Whitman, M.S., Nigro, D.A., Nitze, I., Beaver, J., Gadeke, A., Zuck, C., Liljedahl, A.K., Daanen, R., Torvinen, E., Fritz, S., and Grosse, G., 2017, A lake-centric geospatial database to guide research and inform management decisions in an Arctic watershed in northern Alaska experiencing climate and land-use changes: Ambio, v. 46, no. 7, p. 769-786, https://doi.org/10.1007/s13280-017-0915-9.","productDescription":"18 p.","startPage":"769","endPage":"786","ipdsId":"IP-076338","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":469915,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13280-017-0915-9","text":"Publisher Index Page"},{"id":438369,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7H70CXB","text":"USGS data release","linkHelpText":"Fish Creek Watershed Lake Classification; NPRA, Alaska, 2016"},{"id":339942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-25","publicationStatus":"PW","scienceBaseUri":"58f877ace4b0b7ea54521bfc","contributors":{"authors":[{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":691675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":691676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitman, Matthew S.","contributorId":67961,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":691677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nigro, Debora A.","contributorId":10628,"corporation":false,"usgs":false,"family":"Nigro","given":"Debora","email":"","middleInitial":"A.","affiliations":[{"id":12934,"text":"Bureau of Land Management, Arctic Field Office","active":true,"usgs":false}],"preferred":false,"id":691678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nitze, Ingmar","contributorId":191057,"corporation":false,"usgs":false,"family":"Nitze","given":"Ingmar","affiliations":[],"preferred":false,"id":691679,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beaver, John","contributorId":191058,"corporation":false,"usgs":false,"family":"Beaver","given":"John","affiliations":[],"preferred":false,"id":691680,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gadeke, Anne","contributorId":191059,"corporation":false,"usgs":false,"family":"Gadeke","given":"Anne","email":"","affiliations":[],"preferred":false,"id":691681,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zuck, Callie 0000-0002-7040-6191 czuck@usgs.gov","orcid":"https://orcid.org/0000-0002-7040-6191","contributorId":175209,"corporation":false,"usgs":true,"family":"Zuck","given":"Callie","email":"czuck@usgs.gov","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":691682,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liljedahl, Anna K. 0000-0001-7114-6443","orcid":"https://orcid.org/0000-0001-7114-6443","contributorId":150135,"corporation":false,"usgs":false,"family":"Liljedahl","given":"Anna","email":"","middleInitial":"K.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":691683,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Daanen, Ronald","contributorId":191060,"corporation":false,"usgs":false,"family":"Daanen","given":"Ronald","email":"","affiliations":[],"preferred":false,"id":691684,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Torvinen, Eric","contributorId":191061,"corporation":false,"usgs":false,"family":"Torvinen","given":"Eric","email":"","affiliations":[],"preferred":false,"id":691685,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fritz, Stacey","contributorId":176574,"corporation":false,"usgs":false,"family":"Fritz","given":"Stacey","email":"","affiliations":[],"preferred":false,"id":691686,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Grosse, Guido","contributorId":146182,"corporation":false,"usgs":false,"family":"Grosse","given":"Guido","email":"","affiliations":[{"id":12916,"text":"Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":691687,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70187007,"text":"70187007 - 2017 - Science framework for conservation and restoration of the sagebrush biome: Linking the Department of the Interior’s Integrated Rangeland Fire Management Strategy to long-term strategic conservation actions, Part 1. Science basis and applications","interactions":[],"lastModifiedDate":"2017-11-22T16:08:49","indexId":"70187007","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-GTR-360","title":"Science framework for conservation and restoration of the sagebrush biome: Linking the Department of the Interior’s Integrated Rangeland Fire Management Strategy to long-term strategic conservation actions, Part 1. Science basis and applications","docAbstract":"The Science Framework is intended to link the Department of the Interior’s Integrated Rangeland Fire Management Strategy with long-term strategic conservation actions in the sagebrush biome. The Science Framework provides a multiscale approach for prioritizing areas for management and determining effective management strategies within the sagebrush biome. The emphasis is on sagebrush (Artemisia spp.) ecosystems and Greater sage-grouse (Centrocercus urophasianus). The approach provided in the Science Framework links sagebrush ecosystem resilience to disturbance and resistance to nonnative, invasive plant species to species habitat information based on the distribution and abundance of focal species.\r\nA geospatial process is presented that overlays information on ecosystem resilience and resistance, species habitats, and predominant threats and that can be used at the mid-scale to prioritize areas for management. A resilience and resistance habitat matrix is provided that can help decisionmakers evaluate risks and determine appropriate management strategies. Prioritized areas and management strategies can be refined by managers and stakeholders at the local scale based on higher resolution data and local knowledge. Decision tools are discussed for determining appropriate management actions for areas that are prioritized for\r\nmanagement. Geospatial data, maps, and models are provided through the U.S. Geological Survey (USGS) ScienceBase and Bureau of Land Management (BLM) Landscape Approach Data Portal. The Science Framework is intended to be adaptive and will be updated as additional data become available on other values and species at risk. It is anticipated that the Science Framework will be widely used to: (1) inform emerging strategies to conserve\r\nsagebrush ecosystems, sagebrush dependent species, and human uses of the sagebrush system, and (2) assist managers in prioritizing and planning on-the-ground restoration and mitigation actions across the sagebrush biome.","language":"English","publisher":"U.S Department of Agriculture, Forest Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Chambers, J.C., Beck, J.L., Bradford, J.B., Bybee, J., Campbell, S., Carlson, J., Christiansen, T.J., Clause, K.J., Collins, G., Crist, M., Dinkins, J.B., Doherty, K., Edwards, F., Espinosa, S., Griffin, K.A., Griffin, P., Haas, J.R., Hanser, S.E., Havlina, D.W., Henke, K.F., Hennig, J.D., Joyce, L.A., Kilkenny, F.F., Kulpa, S.M., Kurth, L.L., Maestas, J.D., Manning, M., Mayer, K., Mealor, B.A., McCarthy, C., Pellant, M., Perea, M.A., Prentice, K.L., Pyke, D.A., Wiechman, L.A., and Wuenschel, A., 2017, Science framework for conservation and restoration of the sagebrush biome: Linking the Department of the Interior’s Integrated Rangeland Fire Management Strategy to long-term strategic conservation actions, Part 1. Science basis and applications: General Technical Report RMRS-GTR-360, v, 213 p.","productDescription":"v, 213 p.","ipdsId":"IP-081441","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":339915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339902,"type":{"id":15,"text":"Index Page"},"url":"https://www.treesearch.fs.fed.us/pubs/53983"}],"country":"United States","state":"California, Colorado, Idaho, Montana, Nevada, Oregon, Utah, Washington, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -102.568359375,\n              49.03786794532644\n            ],\n            [\n              -123.31054687499999,\n              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","contributorId":177568,"corporation":false,"usgs":false,"family":"Mayer","given":"Kenneth E. 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,{"id":70180073,"text":"ofr20161123 - 2017 - Shallow-depth location and geometry of the Piedmont Reverse splay of the Hayward Fault, Oakland, California","interactions":[],"lastModifiedDate":"2017-04-19T10:03:02","indexId":"ofr20161123","displayToPublicDate":"2017-04-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1123","title":"Shallow-depth location and geometry of the Piedmont Reverse splay of the Hayward Fault, Oakland, California","docAbstract":"<p>The Piedmont Thrust Fault, herein referred to as the Piedmont Reverse Fault (PRF), is a splay of the Hayward Fault that trends through a highly populated area of the City of Oakland, California (fig. 1A). Although the PRF is unlikely to generate a large-magnitude earthquake, slip on the PRF or high-amplitude seismic energy traveling along the PRF may cause considerable damage during a large earthquake on the Hayward Fault. Thus, it is important to determine the exact location, geometry (particularly dip), and lateral extent of the PRF within the densely populated Oakland area. In the near surface, the PRF juxtaposes Late Cretaceous sandstone (of the Franciscan Complex Novato Quarry terrane of Blake and others, 1984) and an older Pleistocene alluvial fan unit along much of its mapped length (fig. 1B; Graymer and others, 1995). The strata of the Novato Quarry unit vary greatly in strike (NW, NE, and E), dip direction (NE, SW, E, and NW), dip angle (15° to 85°), and lithology (shale and sandstone), and the unit has been intruded by quartz diorite in places. Thus, it is difficult to infer the structure of the fault, particularly at depth, with conventional seismic reflection imaging methods. To better determine the location and shallow-depth geometry of the PRF, we used high-resolution seismic imaging methods described by Catchings and others (2014). These methods involve the use of coincident P-wave (compressional wave) and S-wave (shear wave) refraction tomography and reflection data, from which tomographic models of P- and S-wave velocity and P-wave reflection images are developed. In addition, the coincident P-wave velocity (VP) and S-wave velocity (VS) data are used to develop tomographic models of VP/VS ratios and Poisson’s ratio, which are sensitive to shallow-depth faulting and groundwater. In this study, we also compare measurements of Swave velocities determined from surface waves with those determined from refraction tomography. We use the combination of seismic methods to infer the fault location, dip, and the National Earthquake Hazards Reduction Program (NEHRP) site classification along the seismic profile. Our seismic study is a smaller part of a larger study of the PRF by Trench and others (2016).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161123","usgsCitation":"Catchings, R.D., Goldman, M.R., Trench, David, Buga, Michael, Chan, J.H., Criley, C.J., and Strayer, L.M., 2017, Shallow-depth location and geometry of the Piedmont Reverse splay of the Hayward Fault, Oakland, California: U.S. Geological Survey Open-File Report 2016–1123, 22 p., https://dx.doi.org/10.3133/ofr20161123.","productDescription":"iii, 22 p.","onlineOnly":"Y","ipdsId":"IP-073235","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":339832,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1123/ofr20161123.pdf","text":"Report","size":"12.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1123"},{"id":339831,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1123/coverthb.jpg"}],"country":"United States","state":"California","city":"Oakland","otherGeospatial":"Hayward Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.24727630615236,\n              37.784554114444994\n            ],\n            [\n              -122.16590881347656,\n              37.784554114444994\n            ],\n            [\n              -122.16590881347656,\n              37.83771661984569\n            ],\n            [\n              -122.24727630615236,\n              37.83771661984569\n            ],\n            [\n              -122.24727630615236,\n              37.784554114444994\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Earthquake Science Center—<a href=\"http://earthquake.usgs.gov/contactus/menlo/\" target=\"_blank\" data-mce-href=\"http://earthquake.usgs.gov/contactus/menlo/\">Menlo Park, Calif. Office</a><br>U.S. Geological Survey&nbsp;<br>345 Middlefield Road, MS 977&nbsp;<br>Menlo Park, CA 94025&nbsp;<br><a href=\"http://earthquake.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://earthquake.usgs.gov/\">http://earthquake.usgs.gov/</a></p>","tableOfContents":"<ul><li>Introduction<br></li><li>Seismic Data Acquisition<br></li><li>P-Wave Refraction Tomography Velocity Model<br></li><li>S-Wave Refraction Tomography Velocity Model<br></li><li>V<sub>P</sub>/V<sub>S</sub> Model<br></li><li>Poisson’s Ratio Model<br></li><li>Seismic Reflection Images<br></li><li>MASW and MALW S-Wave Velocity Models<br></li><li>Summary and Seismic Interpretation<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Figures<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-04-18","noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"58f725e5e4b0b7ea5451eec0","contributors":{"authors":[{"text":"Catchings, Rufus D. 0000-0002-5191-6102 catching@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-6102","contributorId":1519,"corporation":false,"usgs":true,"family":"Catchings","given":"Rufus","email":"catching@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":660221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldman, Mark R. 0000-0002-0802-829X goldman@usgs.gov","orcid":"https://orcid.org/0000-0002-0802-829X","contributorId":1521,"corporation":false,"usgs":true,"family":"Goldman","given":"Mark","email":"goldman@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":660222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trench, David","contributorId":178632,"corporation":false,"usgs":false,"family":"Trench","given":"David","email":"","affiliations":[],"preferred":false,"id":660223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buga, Michael","contributorId":178633,"corporation":false,"usgs":false,"family":"Buga","given":"Michael","email":"","affiliations":[],"preferred":false,"id":660224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chan, Joanne H.","contributorId":191013,"corporation":false,"usgs":true,"family":"Chan","given":"Joanne","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":660225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Criley, Coyn J. 0000-0002-0227-0165 ccriley@usgs.gov","orcid":"https://orcid.org/0000-0002-0227-0165","contributorId":3312,"corporation":false,"usgs":true,"family":"Criley","given":"Coyn","email":"ccriley@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":660226,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Strayer, Luther M.","contributorId":139930,"corporation":false,"usgs":false,"family":"Strayer","given":"Luther","email":"","middleInitial":"M.","affiliations":[{"id":13318,"text":"California State University East Bay","active":true,"usgs":false}],"preferred":false,"id":691300,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70188857,"text":"70188857 - 2017 - Long-term afterslip of the M6.0, 2004 Parkfield, California, earthquake—Implications for forecasting amount and duration of afterslip on other major creeping faults","interactions":[],"lastModifiedDate":"2017-06-26T14:45:27","indexId":"70188857","displayToPublicDate":"2017-04-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Long-term afterslip of the M6.0, 2004 Parkfield, California, earthquake—Implications for forecasting amount and duration of afterslip on other major creeping faults","docAbstract":"<p id=\"p-1\">We present the longest record of surface afterslip on a continental strike‐slip fault for the 2004 <strong>M</strong>&nbsp;6.0 Parkfield, California, earthquake, from which we can derive critical information about the duration and predictability of afterslip relevant to urban displacement hazard applications. Surface slip associated with this event occurred entirely postseismically along the interseismically creeping (0.6–1.5  cm/yr) main trace of the San Andreas fault. Using the first year of afterslip data, the program AFTER correctly predicted the cumulative surface afterslip (maximum ∼35  cm) eventually attained. By 1&nbsp;yr postearthquake, observed afterslip had accumulated to only ∼74% of its modeled final value <i>u</i><sub><i>f</i></sub> in units of length. The 6‐yr data suggested final slip would be reached everywhere by ∼6–12  yrs.</p><p id=\"p-2\">Parkfield’s afterslip lasted much longer (∼6–12  yrs) than afterslip following a 2014 <strong>M</strong>&nbsp;6.0 event in Napa, California, where no interseismic creep was known, and its afterslip neared completion (∼97% of <i>u</i><sub><i>f</i></sub>) by 1&nbsp;yr. The uncertainty in <i>u</i><sub><i>f</i></sub> for the Napa event fell to ≤2  cm in only three months, versus in 2 yrs for the Parkfield event, mostly because duration of the power‐law stage of afterslip at Parkfield is much longer, ∼1000 (493–1666) days versus ∼100 (35–421) days for Napa. Because the urban Hayward fault near San Francisco, California, like the Parkfield section, exhibits interseismic creep in a similar geological regime, significant afterslip might last for up to a decade following an anticipated <strong>M</strong>≥6.7 earthquake, potentially delaying postearthquake recovery.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160321","usgsCitation":"Lienkaemper, J.J., and McFarland, F.S., 2017, Long-term afterslip of the M6.0, 2004 Parkfield, California, earthquake—Implications for forecasting amount and duration of afterslip on other major creeping faults: Bulletin of the Seismological Society of America, v. 107, no. 3, p. 1082-1093, https://doi.org/10.1785/0120160321.","productDescription":"12  p.","startPage":"1082","endPage":"1093","ipdsId":"IP-075209","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":342910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Parkfield ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.91690063476562,\n              35.54116627999813\n            ],\n            [\n              -120.16708374023438,\n              35.39912537474416\n            ],\n            [\n              -120.16708374023438,\n              36.1312200154285\n            ],\n            [\n              -121.11602783203124,\n              36.09682839442643\n            ],\n            [\n              -120.91690063476562,\n              35.54116627999813\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"107","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"59521d20e4b062508e3c366d","contributors":{"authors":[{"text":"Lienkaemper, James J. 0000-0002-7578-7042 jlienk@usgs.gov","orcid":"https://orcid.org/0000-0002-7578-7042","contributorId":1941,"corporation":false,"usgs":true,"family":"Lienkaemper","given":"James","email":"jlienk@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":700713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McFarland, Forrest S.","contributorId":192264,"corporation":false,"usgs":false,"family":"McFarland","given":"Forrest","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":700715,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70186968,"text":"70186968 - 2017 - Precipitation collector bias and its effects on temporal trends and spatial variability in National Atmospheric Deposition Program/National Trends Network data","interactions":[],"lastModifiedDate":"2017-04-17T13:38:09","indexId":"70186968","displayToPublicDate":"2017-04-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Precipitation collector bias and its effects on temporal trends and spatial variability in National Atmospheric Deposition Program/National Trends Network data","docAbstract":"<p><span>Precipitation samples have been collected by the National Atmospheric Deposition Program's (NADP) National Trends Network (NTN) using the Aerochem Metrics Model 301 (ACM) collector since 1978. Approximately one-third of the NTN ACM collectors have been replaced with N-CON Systems, Inc. Model ADS 00-120 (NCON) collectors. Concurrent data were collected over 6&nbsp;years&nbsp;at 12 NTN sites using colocated ACM and NCON collectors in various precipitation regimes. Linear regression models of the colocated data were used to adjust for relative bias between the collectors. Replacement of ACM collectors with NCON collectors resulted in shifts in 10-year seasonal precipitation-weighted mean concentration (PWMC) trend slopes for: cations (−0.001 to&nbsp;−0.007&nbsp;mgL</span><sup>−1</sup><span>yr</span><sup>−1</sup><span>), anions (−0.009 to&nbsp;−0.028&nbsp;mgL</span><sup>−1</sup><span>yr</span><sup>−1</sup><span>), and hydrogen ion (+0.689 meqL-</span><sup>1</sup><span>yr</span><sup>−1</sup><span>). Larger shifts in NO</span><sub>3</sub><sup>−</sup><span> and SO</span><sub>4</sub><sup>−2</sup><span> seasonal PWMC trend slopes were observed in the Midwest and Northeast US, where concentrations are generally higher than in other regions. Geospatial analysis of interpolated concentration rasters indicated regions of accentuated variability introduced by incorporation of NCON collectors into the NTN.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"London","doi":"10.1016/j.envpol.2016.12.036","usgsCitation":"Wetherbee, G.A., 2017, Precipitation collector bias and its effects on temporal trends and spatial variability in National Atmospheric Deposition Program/National Trends Network data: Environmental Pollution, v. 223, p. 90-101, https://doi.org/10.1016/j.envpol.2016.12.036.","productDescription":"12 p.","startPage":"90","endPage":"101","ipdsId":"IP-076925","costCenters":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"links":[{"id":461635,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2016.12.036","text":"Publisher Index 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,{"id":70186721,"text":"fs20173027 - 2017 - A groundwater-flow model for the Treasure Valley and surrounding area, southwestern Idaho","interactions":[],"lastModifiedDate":"2017-04-18T10:57:14","indexId":"fs20173027","displayToPublicDate":"2017-04-17T00:00:00","publicationYear":"2017","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":"2017-3027","title":"A groundwater-flow model for the Treasure Valley and surrounding area, southwestern Idaho","docAbstract":"<p>The U.S. Geological Survey (USGS), in partnership with the Idaho Department of Water Resources (IDWR) and Idaho Water Resource Board (IWRB), will construct a numerical groundwater-flow model of the Treasure Valley and surrounding area. Resource managers will use the model to simulate potential anthropogenic and climatic effects on groundwater for water-supply planning and management. As part of model construction, the hydrogeologic understanding of the aquifer system will be updated with information collected during the last two decades, as well as new data collected for the study.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173027","collaboration":"Prepared in cooperation with the Idaho Department of Water Resources","usgsCitation":"Bartolino, J.R., and Vincent, Sean, 2017, A groundwater-flow model for the Treasure Valley and surrounding area, southwestern Idaho: U.S. Geological Survey Fact Sheet 2017-3027, 4 p., https://doi.org/10.3133/fs20173027.","productDescription":"4 p.","ipdsId":"IP-080721","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":339801,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3027/fs20173027.pdf","text":"Report","size":"4.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3027"},{"id":339800,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3027/coverthb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Treasure Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117,\n              43\n            ],\n            [\n              -115.5,\n              43\n            ],\n            [\n              -115.5,\n              44\n            ],\n            [\n              -117,\n              44\n            ],\n            [\n              -117,\n              43\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, Idaho Water Science Center<br> U.S. Geological Survey<br> F.H. Newell Federal building<br> 230 Collins Road<br> Boise, ID 83702<br> <a href=\"http://id.water.usgs.gov\" target=\"blank\" data-mce-href=\"http://id.water.usgs.gov\">http://id.water.usgs.gov</a></p>","tableOfContents":"<ul><li>The Treasure Valley<br></li><li>Hydrology of the Treasure Valley<br></li><li>Groundwater Modeling—A Tool for Understanding and Managing the Resource<br></li><li>Collaborative USGS-IDWR Groundwater-Flow Model Project<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-04-17","noUsgsAuthors":false,"publicationDate":"2017-04-17","publicationStatus":"PW","scienceBaseUri":"58f5d43ce4b0f2e20545e401","contributors":{"authors":[{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vincent, Sean","contributorId":190688,"corporation":false,"usgs":false,"family":"Vincent","given":"Sean","email":"","affiliations":[],"preferred":false,"id":690357,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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