{"pageNumber":"739","pageRowStart":"18450","pageSize":"25","recordCount":184904,"records":[{"id":70203826,"text":"70203826 - 2019 - Late Quaternary paleohydrology of desert wetlands and pluvial lakes in the Soda Lake basin, central Mojave Desert, California (USA)","interactions":[],"lastModifiedDate":"2019-08-22T11:15:31","indexId":"70203826","displayToPublicDate":"2019-06-17T12:14:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary paleohydrology of desert wetlands and pluvial lakes in the Soda Lake basin, central Mojave Desert, California (USA)","docAbstract":"<p><span>Sediment cores taken near extant springs along the western margin of Soda Lake playa, as well as from the playa center, reveal dramatic hydrologic changes that occurred in the central Mojave Desert during the late Quaternary. Results of stratigraphic, chronologic, physical, chemical, and microfossil analyses of seven cores, ranging in length from 5 to 23 m, help refine the timing and character of the final stages of pluvial Lake Mojave during the late Pleistocene and define distinct periods of wetland development in the early and late Holocene. Evidence shows that an incipient lake occupied the central Soda Lake basin by at least 25.0 ka (ka = thousands of calibrated&nbsp;</span><sup>14</sup><span>C years before present), and a fully developed Lake Mojave was present between 20.5 and 12.8 ka, before receding and ultimately yielding to playa conditions by 11.0 ka. Organic-rich “black mats” appear in several cores along the playa margin between 10.7 and 9.0 ka, suggesting that spring-fed wetlands persisted in this area long after the lake had regressed. The basin remained relatively dry throughout most of the Holocene until wetland ecosystems expanded along the margins between 0.73 and 0.18 ka, coincident with part of the Medieval Climate Anomaly and Little Ice Age. Overall, our results demonstrate that buried sediments surrounding extant and extinct springs can be used to reconstruct past hydrologic conditions in desert environments on a variety of spatial and temporal scales, and provide important baseline information for effective management of limited desert resources.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2019.05.021","usgsCitation":"Honke, J.S., Pigati, J.S., Wilson, J., Bright, J., Goldstein, H., Skipp, G.L., Reheis, M., and Havens, J., 2019, Late Quaternary paleohydrology of desert wetlands and pluvial lakes in the Soda Lake basin, central Mojave Desert, California (USA): Quaternary Science Reviews, v. 216, p. 89-106, https://doi.org/10.1016/j.quascirev.2019.05.021.","productDescription":"18 p.","startPage":"89","endPage":"106","ipdsId":"IP-102332","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467527,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2019.05.021","text":"Publisher Index Page"},{"id":366833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert, Soda Lake Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.19964599609374,\n              35.04798673426734\n            ],\n            [\n              -115.93048095703125,\n              35.04798673426734\n            ],\n            [\n              -115.93048095703125,\n              35.25459097465022\n            ],\n            [\n              -116.19964599609374,\n              35.25459097465022\n            ],\n            [\n              -116.19964599609374,\n              35.04798673426734\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"216","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Honke, Jeffrey S. 0000-0003-4357-9297 jhonke@usgs.gov","orcid":"https://orcid.org/0000-0003-4357-9297","contributorId":1616,"corporation":false,"usgs":true,"family":"Honke","given":"Jeffrey","email":"jhonke@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":764323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":764324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, J.","contributorId":216248,"corporation":false,"usgs":false,"family":"Wilson","given":"J.","affiliations":[],"preferred":false,"id":764325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bright, J.","contributorId":191525,"corporation":false,"usgs":false,"family":"Bright","given":"J.","affiliations":[],"preferred":false,"id":764326,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldstein, H.L.","contributorId":18093,"corporation":false,"usgs":true,"family":"Goldstein","given":"H.L.","email":"","affiliations":[],"preferred":false,"id":764327,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Skipp, Gary L. 0000-0002-9404-0980 gskipp@usgs.gov","orcid":"https://orcid.org/0000-0002-9404-0980","contributorId":2102,"corporation":false,"usgs":true,"family":"Skipp","given":"Gary","email":"gskipp@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":764328,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reheis, M.C. 0000-0002-8359-323X","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":36128,"corporation":false,"usgs":true,"family":"Reheis","given":"M.C.","affiliations":[],"preferred":false,"id":764329,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Havens, J. C.","contributorId":216249,"corporation":false,"usgs":false,"family":"Havens","given":"J. C.","affiliations":[],"preferred":false,"id":764330,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70204510,"text":"70204510 - 2019 - Concurrent assessment of epidemiological and operational uncertainties for optimal outbreak control: Ebola as a case study","interactions":[],"lastModifiedDate":"2019-07-30T10:57:45","indexId":"70204510","displayToPublicDate":"2019-06-17T10:54:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3173,"text":"Proceedings of the Royal Society B","active":true,"publicationSubtype":{"id":10}},"title":"Concurrent assessment of epidemiological and operational uncertainties for optimal outbreak control: Ebola as a case study","docAbstract":"Determining how to best manage an epidemiological outbreak may be hindered by both epidemiological uncertainty (i.e. about epidemiological processes) and operational uncertainty (i.e. about the effectiveness of candidate interventions). These two uncertainties are rarely addressed concurrently in epidemic studies, impeding decision-making.  We present an approach to simultaneously address both sources of uncertainty. Epidemiological uncertainty is represented by a large ensemble of models of the 2014 West African Ebola outbreak. Operational uncertainty about the effectiveness of three classes of intervention is assessed for a wide range of potential effectiveness for each intervention. We ranked each intervention in terms of caseload reduction in each model, initially assuming an unlimited budget. To explore the role of budget limitation, we assessed the influence of three candidate cost functions relating intervention effectiveness and cost for different budget levels. The Value of Information (VoI) to resolve uncertainty is generally high in this study; appropriate information gain could reduce expected caseload by more than 50%. The ranking of interventions is jointly determined by the underlying epidemiological process, the effectiveness of the interventions and the size of the budget available for the program. An epidemiologically effective intervention might not be optimal if its costs outweigh its epidemiological benefit. Under higher budget conditions, resolution of epidemiological uncertainty is most valuable. When budgets are tight, however, operational and epidemiological uncertainty are equally important. Overall, our study demonstrates that significant public health improvements could result from a careful examination of both epidemiological and operational uncertainties within the same modelling structure. This approach can be applied to decision-making for management of other diseases for which multiple models and multiple interventions are available.","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2019.0774","usgsCitation":"Li, S., Ferrari, M.J., Bjornstad, O.N., Runge, M.C., Fonnesbeck, C.J., Tildesley, M.J., Pannell, D., and Shea, K., 2019, Concurrent assessment of epidemiological and operational uncertainties for optimal outbreak control: Ebola as a case study: Proceedings of the Royal Society B, v. 286, no. 1905, Article 20190774, https://doi.org/10.1098/rspb.2019.0774.","productDescription":"Article 20190774","numberOfPages":"10","ipdsId":"IP-101702","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467528,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2019.0774","text":"Publisher Index Page"},{"id":366044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"286","issue":"1905","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Shou-Li","contributorId":193644,"corporation":false,"usgs":false,"family":"Li","given":"Shou-Li","email":"","affiliations":[],"preferred":false,"id":767337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferrari, Matthew J. 0000-0001-5251-8168","orcid":"https://orcid.org/0000-0001-5251-8168","contributorId":216186,"corporation":false,"usgs":false,"family":"Ferrari","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":767338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bjornstad, Ottar N. 0000-0002-1158-3753","orcid":"https://orcid.org/0000-0002-1158-3753","contributorId":217708,"corporation":false,"usgs":false,"family":"Bjornstad","given":"Ottar","email":"","middleInitial":"N.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":767339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":767336,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fonnesbeck, Christopher J","contributorId":216185,"corporation":false,"usgs":false,"family":"Fonnesbeck","given":"Christopher","email":"","middleInitial":"J","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":767340,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tildesley, Michael J.","contributorId":126971,"corporation":false,"usgs":false,"family":"Tildesley","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6620,"text":"University of Nottingham, School of Biology","active":true,"usgs":false}],"preferred":false,"id":767341,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pannell, David","contributorId":217709,"corporation":false,"usgs":false,"family":"Pannell","given":"David","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":767342,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shea, Katriona 0000-0002-7607-8248","orcid":"https://orcid.org/0000-0002-7607-8248","contributorId":193646,"corporation":false,"usgs":false,"family":"Shea","given":"Katriona","email":"","affiliations":[],"preferred":false,"id":767343,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70203613,"text":"sir20195046 - 2019 - Evaluation of streambed-sediment metals concentrations in the Spring River Basin, Cherokee County Superfund site, Kansas, 2017","interactions":[],"lastModifiedDate":"2019-06-18T08:47:25","indexId":"sir20195046","displayToPublicDate":"2019-06-17T10:42:00","publicationYear":"2019","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":"2019-5046","displayTitle":"Evaluation of Streambed-Sediment Metals Concentrations in the Spring River Basin, Cherokee County Superfund Site, Kansas, 2017","title":"Evaluation of streambed-sediment metals concentrations in the Spring River Basin, Cherokee County Superfund site, Kansas, 2017","docAbstract":"<p>To evaluate the magnitude of, and change in, mining-related contamination, streambed-sediment samples were collected from 30 sampling sites in the Spring River Basin in the Cherokee County Superfund site, southeast Kansas, in July and August 2017. The Cherokee County Superfund site is part of the Tri-State Mining District, an area that covers parts of Kansas, Missouri, and Oklahoma that was historically mined for lead and zinc. The sampling sites corresponded to 30 sites sampled in 2004 as part of a previous study.</p><p>Concentrations of cadmium, lead, and zinc in the 2017 streambed-sediment samples were compared with the 2004 concentrations and with available sediment-quality guidelines. Cadmium concentrations from 2004 and 2017 samples were not compared if both samples had concentrations less than the lower of the sediment-quality guidelines because of poor performance of cadmium replicate-samples analyses at lower concentrations. Streambed-sediment concentrations of cadmium, lead, and zinc in the 2017 samples compared to the 2004 samples were decreased by at least 20 percent at 12, 16, and 16 sites, respectively; increased by at least 20 percent at 2, 5, and 7 sites, respectively; and had less than a 20-percent change at 5, 9, and 7 sites, respectively. In 2017, cadmium, lead, and zinc concentrations exceeded general consensus-based sediment-quality guidelines at 17, 14, and 18 sites, respectively, compared to 19, 17, and 20 sites, respectively, in 2004. In 2017, cadmium, lead, and zinc concentrations exceeded Tri-State Mining District-specific sediment-quality guidelines at 12, 14, and 11 sites, respectively, compared to 16, 16, and 13 sites, respectively, in 2004. The highest 2017 concentrations of cadmium, lead, and zinc were measured at sites along Short Creek near Galena, Kansas.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195046","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Klager, B.J., and Juracek, K.E., 2019, Evaluation of streambed-sediment metals concentrations in the Spring River Basin, Cherokee County Superfund site, Kansas, 2017: U.S. Geological Survey Scientific Investigations Report 2019–5046, 25 p., https://doi.org/10.3133/sir20195046.","productDescription":"Report: vii, 25; 1 Appendix","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-099465","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":364724,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5046/coverthb.jpg"},{"id":364726,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2019/5046/sir20195046_appendix_tables.xlsx","text":"Appendix Tables","size":"74.1 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2019–5046 Appendix Tables"},{"id":364725,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5046/sir20195046.pdf","text":"Report","size":"3.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5046"}],"country":"United States","state":"Kansas","county":"Cherokee county","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.94110107421875,\n              37.00255267215955\n            ],\n            [\n              -94.61837768554688,\n              36.99816565700228\n            ],\n            [\n              -94.61769104003906,\n              37.29672485664319\n            ],\n            [\n              -94.94213104248047,\n              37.29672485664319\n            ],\n            [\n              -94.94110107421875,\n              37.00255267215955\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"mailto:%20dc_ks@usgs.gov\" href=\"mailto:%20dc_ks@usgs.gov\">Director</a>, <a data-mce-href=\"https://www.usgs.gov/centers/kswsc\" href=\"https://www.usgs.gov/centers/kswsc\">Kansas Water Science Center</a> <br>U.S. Geological Survey<br>1217 Biltmore Drive <br>Lawrence, KS 66049</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Selected Chemical Constituents in Streambed Sediments in 2017 Compared to 2004 and to Sediment-Quality Guidelines</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-06-17","noUsgsAuthors":false,"publicationDate":"2019-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Klager, Brian J. 0000-0001-8361-6043","orcid":"https://orcid.org/0000-0001-8361-6043","contributorId":214750,"corporation":false,"usgs":true,"family":"Klager","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":763285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":763286,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203945,"text":"70203945 - 2019 - A 4000-year history of debris flows in north-central Washington State, U.S.A.: Preliminary results from trenching and surficial geologic mapping at the Pope Creek fan","interactions":[],"lastModifiedDate":"2019-06-25T10:36:07","indexId":"70203945","displayToPublicDate":"2019-06-17T10:36:01","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A 4000-year history of debris flows in north-central Washington State, U.S.A.: Preliminary results from trenching and surficial geologic mapping at the Pope Creek fan","docAbstract":"Long-term records of the magnitude and frequency of debris flows on fans are rare, but such records provide critical information needed for debris-flow hazard and risk assessments. This study explores the history of debris flows on a fan with seasonally inhabited cabins at Pope Creek along the Entiat River about 48 km upstream from the town of Entiat, Washington. Motivation for this study was provided by the Duncan Fire, a wildfire which burned the Pope Creek basin in 2014 and resulted in debris flows and water-dominated floods on the fan between August 2014 and October 2016. We excavated and mapped seven 6-m long (2.4 m deep) trenches, mapped deposits on the surface of the fan, and constrained the ages of deposits using radiocarbon dating and the computer program OxCal. Preliminary results indicate that there have been at least 10 debris-flow events (DFEs) since 4000 cal yr BP. The mean recurrence interval between events was 433 +/-44 years, but intervals range from 724 to 20 years. The four most recent events have the shortest recurrence intervals. The largest event had an estimated sediment volume of 97,000 m3 and occurred at about 285 cal yr BP (1665 AD) during the Little Ice Age. The most recent debris-flow event that was triggered by rainstorms following the Duncan Fire was about 8x smaller than the largest event. These results may indicate that the largest DFE was triggered by an exceptional meteorological event that occurred during a cool, wet time, and that smaller DFEs were triggered by less exceptional meteorological events that occurred following wildfires.","largerWorkType":{"id":4,"text":"Book"},"largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh International Conference on Debris-Flow Hazards Mitigation","conferenceDate":"June 10-13, 2019","conferenceLocation":"Golden, Colorado","language":"English","publisher":"Association of Environmental and Engineering Geologists","collaboration":"Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, Golden, Colorado, USA, June 10-13, 2019","usgsCitation":"Coe, J.A., Bessette-Kirton, E., Slaughter, S., Rengers, F.K., Contreras, T.A., Michelson, K.A., Taylor, E., Kean, J.W., Jacobacci, K., and Hanson, M.A., 2019, A 4000-year history of debris flows in north-central Washington State, U.S.A.: Preliminary results from trenching and surficial geologic mapping at the Pope Creek fan, Seventh International Conference on Debris-Flow Hazards Mitigation, Golden, Colorado, June 10-13, 2019, p. 613-620.","productDescription":"8 p.","startPage":"613","endPage":"620","ipdsId":"IP-105508","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":365004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364949,"type":{"id":15,"text":"Index Page"},"url":"https://mountainscholar.org/handle/11124/173051"}],"country":"United States","state":"Washington","otherGeospatial":"Pope Creek basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.53306579589844,\n              47.766560801839226\n            ],\n            [\n              -120.26115417480469,\n              47.766560801839226\n            ],\n            [\n              -120.26115417480469,\n              47.944636605532914\n            ],\n            [\n              -120.53306579589844,\n              47.944636605532914\n            ],\n            [\n              -120.53306579589844,\n              47.766560801839226\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":764878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bessette-Kirton, Erin 0000-0002-2797-0694 ebessette-kirton@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-0694","contributorId":177153,"corporation":false,"usgs":true,"family":"Bessette-Kirton","given":"Erin","email":"ebessette-kirton@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slaughter, Stephen","contributorId":216500,"corporation":false,"usgs":false,"family":"Slaughter","given":"Stephen","affiliations":[{"id":13477,"text":"Washington Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":764880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rengers, Francis 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Resources","active":true,"usgs":false}],"preferred":false,"id":764883,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Taylor, Emily M. 0000-0003-1152-5761","orcid":"https://orcid.org/0000-0003-1152-5761","contributorId":201562,"corporation":false,"usgs":true,"family":"Taylor","given":"Emily","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":764884,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764885,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jacobacci, Kara","contributorId":216502,"corporation":false,"usgs":false,"family":"Jacobacci","given":"Kara","email":"","affiliations":[{"id":39460,"text":"Washington Dept of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":764886,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hanson, Molly A","contributorId":216503,"corporation":false,"usgs":false,"family":"Hanson","given":"Molly","email":"","middleInitial":"A","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":764887,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70203947,"text":"70203947 - 2019 - Exploring controls on debris-flow surge velocity and peak discharge at Chalk Cliffs, Colorado, USA","interactions":[],"lastModifiedDate":"2019-06-25T10:13:35","indexId":"70203947","displayToPublicDate":"2019-06-17T10:13:19","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Exploring controls on debris-flow surge velocity and peak discharge at Chalk Cliffs, Colorado, USA","docAbstract":"We present a series of debris-flow events and use combined sensor and video data to explore how sediment concentration and triggering rainfall intensity affect the velocity and discharge of debris-flow surges generated by surface-water runoff. We analyze an initial data set of 49 surges from four debris-flow events recorded by a monitoring system at Chalk Cliffs, Colorado and compare measurements of surge height, velocity, peak discharge, triggering rainfall intensity, and qualitative estimates of sediment concentration. Measurements of sediment concentration and velocity were obtained using an automated camera system with a high resolution and frame rate. We find that the triggering rainfall intensity of the debris flows, which affects the sediment-to-water ratio, is a strong control on surge velocity and peak discharge. While surges with high and low sediment concentrations both exceed the peak discharge of water-only flow, fluid-rich surges generated by high rainfall intensities have much greater velocities and peak discharges than sediment-rich surges generated by lower rainfall intensities. These observations suggest that rainfall intensity may be an important predictive variable in empirical relationships for estimating the velocity and peak discharge of runoff generated debris flows, which are common in alpine areas and burned steeplands.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, Golden, Colorado, USA, June 10-13, 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh International Conference on Debris-Flow Hazards Mitigation","conferenceDate":"June 10-13, 2019","conferenceLocation":"Golden, Colorado, USA","language":"English","publisher":"Association of Environmental and Engineering Geologists","usgsCitation":"Smith, J.B., Kean, J.W., and Coe, J.A., 2019, Exploring controls on debris-flow surge velocity and peak discharge at Chalk Cliffs, Colorado, USA, <i>in</i> Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, Golden, Colorado, USA, June 10-13, 2019, Golden, Colorado, USA, June 10-13, 2019, p. 199-206.","productDescription":"8 p.","startPage":"199","endPage":"206","ipdsId":"IP-105777","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":364950,"type":{"id":15,"text":"Index Page"},"url":"https://mountainscholar.org/handle/11124/173051"},{"id":365001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Chalk Cliffs","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.7978515625,\n              37.80544394934271\n            ],\n            [\n              -103.9801025390625,\n              37.80544394934271\n            ],\n            [\n              -103.9801025390625,\n              40.271143686084194\n            ],\n            [\n              -107.7978515625,\n              40.271143686084194\n            ],\n            [\n              -107.7978515625,\n              37.80544394934271\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":764899,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203950,"text":"70203950 - 2019 - An evaluation of debris-flow runout model accuracy and complexity in Montecito, CA:  Towards a framework for regional inundation-hazard forecasting","interactions":[],"lastModifiedDate":"2019-06-25T10:02:41","indexId":"70203950","displayToPublicDate":"2019-06-17T10:02:09","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An evaluation of debris-flow runout model accuracy and complexity in Montecito, CA:  Towards a framework for regional inundation-hazard forecasting","docAbstract":"Numerous debris-flow inundation models have been applied retroactively to noteworthy events around the world. While such studies can be useful in identifying controlling factors, calibrating model parameters, and assessing future hazards in specific study areas, model parameters tailored to individual events can be difficult to apply regionally. The advancement of debris-flow modeling applications from post-event model validation of individual case studies to pre-event forecasting that can be implemented rapidly and at regional scales is critical considering the fatalities and extensive infrastructure damage caused by debris flows that inundated a developed fan in Montecito, CA following heavy rain on 9 January 2018. In this study, we evaluated the tradeoffs between model accuracy and simplicity in the context of the need for a framework that can be used in conjunction with initiation models and storm predictions for rapid, large-scale inundation hazard mapping as a component of post-fire debris-flow hazard assessments. We used numerical (FLO-2D) and empirical (LAHARZ) models to simulate debris flows from one of the drainages upstream of Montecito that was burned in the Thomas Fire in December 2017 and compared model results with field observations and building damage assessments collected immediately following the event. Initial testing demonstrated that LAHARZ can simulate channelized flow but is not able to replicate flow bifurcations or avulsions, which are critical aspects of flows travelling over populated fans. FLO-2D simulations matched well with observed inundation area data, but variably under and overpredicted inundation height, deposit depth, and velocity. We found that FLO-2D and LAHARZ had true positive rates of 0.84 and 0.6, respectively, and both models had similar false positive rates (0.3 and 0.35, respectively). Our model evaluation framework allowed us to compare model results with detailed field observations and will serve as a platform for more extensive model testing in the future.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, Golden, Colorado, USA, June 10-13, 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh International Conference on Debris-Flow Hazards Mitigation","conferenceDate":"June 10-13, 2019","conferenceLocation":"Golden, Colorado","language":"English","publisher":"Association of Environmental and Engineering Geologists","usgsCitation":"Bessette-Kirton, E., Kean, J.W., Coe, J.A., Rengers, F.K., and Staley, D.M., 2019, An evaluation of debris-flow runout model accuracy and complexity in Montecito, CA:  Towards a framework for regional inundation-hazard forecasting, <i>in</i> Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, Golden, Colorado, USA, June 10-13, 2019, Golden, Colorado, June 10-13, 2019, p. 257-264.","productDescription":"8 p.","startPage":"257","endPage":"264","ipdsId":"IP-105196","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":364953,"type":{"id":15,"text":"Index Page"},"url":"https://mountainscholar.org/handle/11124/173051"},{"id":364999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Montecito","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.65690612792969,\n              34.420504880133834\n            ],\n            [\n              -119.60214614868164,\n              34.420504880133834\n            ],\n            [\n              -119.60214614868164,\n              34.45179381673195\n            ],\n            [\n              -119.65690612792969,\n              34.45179381673195\n            ],\n            [\n              -119.65690612792969,\n              34.420504880133834\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bessette-Kirton, Erin 0000-0002-2797-0694 ebessette-kirton@usgs.gov","orcid":"https://orcid.org/0000-0002-2797-0694","contributorId":177153,"corporation":false,"usgs":true,"family":"Bessette-Kirton","given":"Erin","email":"ebessette-kirton@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":764922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764923,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764924,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70200971,"text":"cir1450 - 2019 - Statistics of petroleum exploration in the world outside the United States and Canada through 2015","interactions":[],"lastModifiedDate":"2019-06-27T14:39:27","indexId":"cir1450","displayToPublicDate":"2019-06-17T09:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1450","displayTitle":"Statistics of Petroleum Exploration in the World Outside the United States and Canada Through 2015","title":"Statistics of petroleum exploration in the world outside the United States and Canada through 2015","docAbstract":"<p>The world’s future oil and gas supplies depend on existing reserves and the additions to those reserves that may result, in part, from ongoing exploration and new discoveries. This Circular summarizes available oil and gas exploration data for the world outside the United States and Canada (the study area) through 2015. It updates U.S. Geological Survey Circulars 981, 1096, and 1288 (by D.H. Root, E.D. Attanasi, and R.L. Turner, 1987; E.D. Attanasi and D.H. Root, 1993; and E.D. Attanasi, P.A. Freeman, and J.A. Glovier, 2007). The exploration measures focus on the search for undiscovered conventional oil and gas accumulations.</p><p>The goal of this compilation, presentation, and analysis of exploration and discovery data is to identify, at the reconnaissance level, the areas explored for oil and gas and to characterize their degree of exploration maturity. Maps and graphs provide a visual summary of the exploration maturity of an area. The maps include both land and offshore areas. The maps show delineated prospective areas, which are the industry-defined areas of interest in the search for undiscovered conventional oil and gas accumulations. The maps also show explored areas, which are areas where the density of exploration and development drilling rules out new discoveries of large conventional petroleum accumulations.</p><p>Whereas the maps show the static state of oil and gas exploration, the dynamic measures of exploration progress are characterized graphically. The graphs show the growth in the delineated prospective and explored areas as a function of wildcat drilling. The relation between the expansion of the delineated prospective area and the rate of wildcat drilling is determined by the siting of the wildcat wells. Additional graphs show the magnitude of discoveries tied to specific delineated prospective areas. These graphs provide a way to evaluate the quality, in terms of discovered oil and gas, of areas identified by the dates when each area became prospective.</p><p>From 2006 through 2015, the delineated prospective area within the study area expanded at a rate of about 48,100 square miles per year. This is slightly above the expansion rate of 46,200 square miles per year from 1996 through 2005. From 2006 through 2015, the explored area expanded at a rate of about 12,900 square miles per year, which is somewhat greater than the rate of 11,300 square miles per year for the period from 1996 through 2005. The delineated prospective area established by 1970 accounts for 35 percent of the delineated prospective area established through 2015 but contains 70 percent of the oil and 52 percent of the natural gas discovered through 2015. From 2006 through 2015, offshore discoveries accounted for 71 percent of the oil and 78 percent of the gas discovered in the study area and 40 percent of the offshore wildcat wells were drilled in deep offshore areas (deeper than 200 meters water depth).</p><p>The delineated prospective area and explored area calculated with oil and gas wells and fields at depths of at least 10,000 feet are less than half of the respective areas calculated with all oil and gas wells and fields. The discovery histories of most regions indicate that average discovery sizes are generally larger in deeper geologic horizons. To correctly interpret the exploration maturity of a deep horizon, drilling and discovery data must be considered in the context of the geology of the area. Such analyses should be prepared at the level of the petroleum basin or subbasin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1450","collaboration":" ","usgsCitation":"Attanasi, E.D., and Freeman, P.A., 2019, Statistics of petroleum exploration in the world outside the United States and Canada through 2015: U.S. Geological Survey Circular 1450, 237 p., https://doi.org/10.3133/cir1450.","productDescription":"vii, 237 p.","numberOfPages":"237","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-102161","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":364691,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1450/circ1450.pdf","text":"Report","size":"31.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CiRC 1450"},{"id":364690,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1450/coverthb.jpg"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eersc\" data-mce-href=\"https://www.usgs.gov/centers/eersc\">Eastern Energy Resources Science Center</a><br>U.S. Geological Survey<br>Mail Stop 956<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Exploration and Discovery Process</li><li>Measures of Exploration Maturity</li><li>Exploration and Discovery Statistics</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-06-17","noUsgsAuthors":false,"publicationDate":"2019-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":198728,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil D.","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":751477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Philip A. 0000-0002-0863-7431","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":206294,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":751476,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203887,"text":"70203887 - 2019 - Repeated detection of carbapenemase-producing Escherichia coli in gulls inhabiting Alaska, USA","interactions":[],"lastModifiedDate":"2020-06-19T16:08:24.878364","indexId":"70203887","displayToPublicDate":"2019-06-17T09:38:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":817,"text":"Antimicrobial Agents and Chemotherapy","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Repeated detection of carbapenemase-producing <i>Escherichia coli</i> in gulls inhabiting Alaska, USA","title":"Repeated detection of carbapenemase-producing Escherichia coli in gulls inhabiting Alaska, USA","docAbstract":"<p><span>We report the first detection of carbapenemase-producing&nbsp;</span><i>Escherichia coli&nbsp;</i><span>in Alaska and in wildlife in the United States. Wild bird (gull) feces sampled at three locations in Southcentral Alaska yielded isolates that harbored plasmid-encoded&nbsp;</span><i>bla</i><sub>KPC-2</sub><span>&nbsp;or chromosomally-encoded&nbsp;</span><i>bla</i><sub>OXA-48</sub><span>, and genes associated with antimicrobial resistance to up to eight antibiotic classes.</span></p>","language":"English","publisher":"American society for Microbiology","doi":"10.1128/AAC.00758-19","usgsCitation":"Ahlstrom, C., Ramey, A.M., Woksepp, H., and Bonnedahl, J., 2019, Repeated detection of carbapenemase-producing Escherichia coli in gulls inhabiting Alaska, USA: Antimicrobial Agents and Chemotherapy, v. 63, no. 8, e00758-19, 4 p., https://doi.org/10.1128/AAC.00758-19.","productDescription":"e00758-19, 4 p.","ipdsId":"IP-105113","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":467529,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/aac.00758-19","text":"External Repository"},{"id":437418,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9391PBK","text":"USGS data release","linkHelpText":"Sampling, Antimicrobial Resistance Testing, and Genomic Typing of Carbapenemase Producing E. coli in Gulls (Larus spp.) in Alaska, 2016"},{"id":364826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Anchorage","otherGeospatial":"Kenai Penninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -150.6005859375,\n              61.34407840195394\n            ],\n            [\n              -151.76513671875,\n              60.65164736580915\n            ],\n            [\n              -152.138671875,\n              59.24341475839977\n            ],\n            [\n              -151.58935546875,\n              58.88194208135912\n            ],\n            [\n              -149.39208984375,\n              59.66774058164963\n            ],\n            [\n              -147.568359375,\n              60.05387385148492\n            ],\n            [\n              -147.63427734375,\n              60.65164736580915\n            ],\n            [\n              -148.4912109375,\n              61.24910209024154\n            ],\n            [\n              -150.6005859375,\n              61.34407840195394\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"63","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ahlstrom, Christina 0000-0001-5414-8076","orcid":"https://orcid.org/0000-0001-5414-8076","contributorId":214540,"corporation":false,"usgs":true,"family":"Ahlstrom","given":"Christina","email":"","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":764594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":764595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woksepp, Hanna","contributorId":207263,"corporation":false,"usgs":false,"family":"Woksepp","given":"Hanna","email":"","affiliations":[],"preferred":false,"id":764596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonnedahl, Jonas","contributorId":181800,"corporation":false,"usgs":false,"family":"Bonnedahl","given":"Jonas","email":"","affiliations":[],"preferred":false,"id":764597,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204410,"text":"70204410 - 2019 - Begging behavior as an honest signal of need and parent-offspring association during the post-fledging dependency period","interactions":[],"lastModifiedDate":"2019-07-23T08:56:39","indexId":"70204410","displayToPublicDate":"2019-06-17T08:55:11","publicationYear":"2019","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":"Begging behavior as an honest signal of need and parent-offspring association during the post-fledging dependency period","docAbstract":"Honest signaling mechanisms can function to appropriate care to hungry offspring and avoid misdirected care of unrelated offspring. Begging, the behavior by which offspring solicit food and parental care, may be an honest signaling mechanism for need, as well as association of parents and offspring. Roseate terns (Sterna dougallii) exhibit prolonged parental care during the post-breeding staging period, offering an ideal system in which to study begging as an honest signaling mechanism. We conducted focal sampling during two pre-migratory staging seasons (2014 and 2015) at Cape Cod National Seashore, MA to determine whether post-fledging tern begging behavior was an honest signal for need and parent-offspring association. Based on honest signaling theory, we expected begging behavior to be highest during times of high perceived need, and we expected to see a decrease in begging behavior as young terns became increasingly independent of the care-giving parent. Also, we predicted that young terns would be more likely to beg at parents than non-parents. We found that young roseate terns begged at their parents more often than non-parents; however, they did not always beg at parents. Model predictions of begging probability showed a linear relationship between begging and time of day and date of season, such that begging increased with time of day and decreased with date of season, respectively. Our results provide evidence for honest parent-offspring interactions and are inconsistent with parent-offspring conflict theory but suggest that begging may play a complex role in post-fledging parent-offspring interactions.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5279","usgsCitation":"Davis, K.L., Karpanty, S.M., Spendelow, J.A., Cohen, J.B., Althouse, M.A., Parsons, K., and Luttazi, C.F., 2019, Begging behavior as an honest signal of need and parent-offspring association during the post-fledging dependency period: Ecology and Evolution, v. 9, no. 13, p. 7497-7508, https://doi.org/10.1002/ece3.5279.","productDescription":"12 p.","startPage":"7497","endPage":"7508","ipdsId":"IP-102125","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467530,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.5279","text":"External Repository"},{"id":365835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365818,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/full/10.1002/ece3.5279"}],"country":"United States","state":"Massachusetts ","otherGeospatial":"Cape Cod","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.8013916015625,\n              41.17038447781618\n            ],\n            [\n              -69.7137451171875,\n              41.17038447781618\n            ],\n            [\n              -69.7137451171875,\n              42.261049162113856\n            ],\n            [\n              -70.8013916015625,\n              42.261049162113856\n            ],\n            [\n              -70.8013916015625,\n              41.17038447781618\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"13","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Kayla L.","contributorId":177595,"corporation":false,"usgs":false,"family":"Davis","given":"Kayla","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":766757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karpanty, Sarah M.","contributorId":63307,"corporation":false,"usgs":false,"family":"Karpanty","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":766758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spendelow, Jeffrey A. 0000-0001-8167-0898 jspendelow@usgs.gov","orcid":"https://orcid.org/0000-0001-8167-0898","contributorId":4355,"corporation":false,"usgs":true,"family":"Spendelow","given":"Jeffrey","email":"jspendelow@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":766756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cohen, Jonathan B.","contributorId":211835,"corporation":false,"usgs":false,"family":"Cohen","given":"Jonathan","email":"","middleInitial":"B.","affiliations":[{"id":13404,"text":"SUNY College of Environmental Science & Forestry","active":true,"usgs":false}],"preferred":false,"id":766759,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Althouse, Melissa A.","contributorId":211834,"corporation":false,"usgs":false,"family":"Althouse","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":13404,"text":"SUNY College of Environmental Science & Forestry","active":true,"usgs":false}],"preferred":false,"id":766760,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parsons, Katharine C","contributorId":217435,"corporation":false,"usgs":false,"family":"Parsons","given":"Katharine C","affiliations":[{"id":38328,"text":"Mass Audubon Coastal Waterbird Program","active":true,"usgs":false}],"preferred":false,"id":766761,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Luttazi, Cristin F.","contributorId":177596,"corporation":false,"usgs":false,"family":"Luttazi","given":"Cristin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":766762,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70206277,"text":"70206277 - 2019 - Migratory strategy explains differences in timing of female reproductive development in seasonally sympatric songbirds.","interactions":[],"lastModifiedDate":"2019-10-29T07:45:35","indexId":"70206277","displayToPublicDate":"2019-06-17T07:44:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Migratory strategy explains differences in timing of female reproductive development in seasonally sympatric songbirds.","docAbstract":"1. Divergent migratory strategies among populations can result in population-level differences in timing of reproduction (allochrony) and local adaptation.  However, the mechanisms underlying among-population variation in timing are insufficiently understood, particularly in females. \n\n2. We studied differences in reproductive development and its related mechanisms along the hypothalamic-pituitary-gonadal axis (HPG) in closely related migratory and sedentary (i.e., resident) female dark-eyed juncos (Junco hyemalis) living together in sympatry during early spring. We predicted that residents would be more reproductively developed than migrants. Alternatively, we predicted that females might exhibit similar reproductive development in response to the same environmental cue despite differences in migratory behavior. To compare their degree of reproductive development during seasonal sympatry and the underlying mechanisms of these differences, we collected ovarian and liver tissue in early spring prior to migration, and compared abundance of gene transcripts associated with reproduction using quantitative PCR. We also used stable hydrogen isotopes to infer relative breeding and wintering latitude of migrants. \n\n3. We found more abundant transcripts for luteinizing hormone receptor and aromatase in addition to significantly heavier ovaries in residents than in migrants. Together these results suggest greater sensitivity and response to upstream endocrine stimulation in resident females. Transcript abundance for other receptors associated with reproduction, however, did not differ between populations. When comparing ovarian development within migrants, females with lower hydrogen isotopes (indicating higher breeding latitudes) had smaller ovaries, suggesting that longer-distance migrations may further delay reproductive development. \n\n4. Based on differences in ovary mass and transcript abundance, we conclude that females that differ in migratory strategy also differ in timing of reproductive development. Differences in timing of reproductive development between migrant and resident females could drive reproductive isolation between populations. This study also reveals mechanisms that could drive allochrony and enable us to predict how seasonal organisms will respond to a changing world.","language":"English","publisher":"Wiley","doi":"10.1111/1365-2435.13386","usgsCitation":"Kimmitt, A.A., Hardman, J., Stricker, C.A., and Ketterson, E.D., 2019, Migratory strategy explains differences in timing of female reproductive development in seasonally sympatric songbirds.: Functional Ecology, v. 33, p. 1651-1662, https://doi.org/10.1111/1365-2435.13386.","productDescription":"12 p.","startPage":"1651","endPage":"1662","ipdsId":"IP-103095","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467531,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.13386","text":"Publisher Index Page"},{"id":437419,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RL64C8","text":"USGS data release","linkHelpText":"Ovary mass and stable hydrogen isotope data for resident and migratory female dark-eyed juncos"},{"id":368686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Kimmitt, Abigail A","contributorId":220080,"corporation":false,"usgs":false,"family":"Kimmitt","given":"Abigail","email":"","middleInitial":"A","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":774056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardman, Jack","contributorId":220081,"corporation":false,"usgs":false,"family":"Hardman","given":"Jack","email":"","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":774057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":774055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ketterson, Ellen D.","contributorId":168422,"corporation":false,"usgs":false,"family":"Ketterson","given":"Ellen","email":"","middleInitial":"D.","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":774058,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70205970,"text":"70205970 - 2019 - Evaluating community-level response to management actions across a diverse Hawaiian forest bird community","interactions":[],"lastModifiedDate":"2019-10-14T06:39:56","indexId":"70205970","displayToPublicDate":"2019-06-17T06:38:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating community-level response to management actions across a diverse Hawaiian forest bird community","docAbstract":"Although species‐specific approaches are necessary to understand the dynamics of individual species composing a community, they do not offer a framework for making optimal management decisions at the community level. Here, we present a simple framework for comparing the response of entire communities to multiple management scenarios. Our approach uses a weighted average of standardized species‐specific responses to produce a single integrative measure of the community response and employs mixed‐effect linear models to quantify the increase in the community response due to each management action, or combination of actions. We demonstrate our approach with a simulation study assessing the potential benefits of multiple management actions on the avian community of Hakalau Forest National Wildlife Refuge, Hawaiʻi, which is composed of eight native species with conservation status varying from endangered to least concern. Management actions considered included a reduction of avian malaria transmission risk, reducing rat predation, and increasing forest habitat. We used three different prioritization (weighting) schemes to assess whether the response to management actions differed along a conservation gradient (from endangered to least concern). We also investigated whether future changes in disease distribution as a result of climate change will alter the relationship between management practices and community response. Our community‐level analysis produced three important insights, highlighting the need to consider the response from multiple species to changing threats and management actions. First, increasing the amount of habitat always had the greatest positive impact on the avian community, regardless of the weighting scheme. Second, the community response to management was different under current vs. future conditions, with increased benefit in the future when disease risks were higher. Third, the response to management varied along the conservation gradient. Reducing malaria transmission risk in 2100 had the greatest benefit to endangered species, while increasing forest habitat had the greatest benefit to “least concern” species. However, reducing rat predation appeared to benefit a subset of species based on ecological factors unrelated to rarity, such as nest accessibility. Our approach is widely applicable using experimental, observational, or simulation‐based data, allowing managers to consider the response of all species while weighting their priority levels.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1953","usgsCitation":"Guillaumet, A., and Paxton, E., 2019, Evaluating community-level response to management actions across a diverse Hawaiian forest bird community: Ecological Applications, v. 29, no. 6, p. 1236-1246, https://doi.org/10.1002/eap.1953.","productDescription":"11 p.","startPage":"1236","endPage":"1246","ipdsId":"IP-080124","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":368289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368288,"type":{"id":15,"text":"Index Page"},"url":"https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/eap.1953"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -160.68603515625,\n              18.70869162255995\n            ],\n            [\n              -154.46777343749997,\n              18.70869162255995\n            ],\n            [\n              -154.46777343749997,\n              22.59372606392931\n            ],\n            [\n              -160.68603515625,\n              22.59372606392931\n            ],\n            [\n              -160.68603515625,\n              18.70869162255995\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"29","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Guillaumet, Alban","contributorId":150397,"corporation":false,"usgs":false,"family":"Guillaumet","given":"Alban","email":"","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":773117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":773116,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204478,"text":"70204478 - 2019 - Thin-layer sediment addition to an existing salt marsh to combat sea-level rise and improve endangered species habitat in California, USA","interactions":[],"lastModifiedDate":"2019-07-26T11:34:13","indexId":"70204478","displayToPublicDate":"2019-06-16T11:26:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Thin-layer sediment addition to an existing salt marsh to combat sea-level rise and improve endangered species habitat in California, USA","docAbstract":"Current tidal marsh elevations and their accretion rates are important predictors of vulnerability to sea-level rise. When tidal marshes are at risk, adaptation measures, such as sediment addition to increase elevations, can be implemented to prevent degradation and loss. In 2016, wildlife managers prescribed a thin-layer sediment addition of locally sourced dredged material from Anaheim Bay to mitigate plausible future impacts of sea-level rise to Seal Beach National Wildlife Refuge, an urbanized, subsiding, sediment limited, and low elevation tidal marsh in southern California, USA. In this study, our objectives were to determine how suspended sediment concentrations (SSC) and fluxes associated with sediment application affected an adjacent eelgrass bed and a more distant deep tidal channel at different time periods throughout the project and how sediment application affected tidal marsh elevation. Due to the sediment addition the tidal marsh elevation increased by 25.4 cm across 3.06 ha. Mean SSC levels at the eelgrass site increased from 4 mg/L during pre-augmentation to 16 mg/L during sediment application. SSC levels also increased up to 40 mg/L with the installation of sediment barriers. Winter storms during construction also had an influence on SSC, with an extreme storm event increasing SSC from 9 mg/L pre-storm levels to 16 mg/L during the storm. However, SSC at the deep site remained constant during all time periods with a mean of 7 mg/L. Our results show that little to zero sediment was exported out of Anaheim Bay during the study period, illustrating that any impacts were localized to the application area. These findings suggest that although long-range export of applied dredge material is unlikely from future thin-layer sediment application at this site, adjacent habitats could experience impacts if erosion control measures are not implemented effectively. Future projects will benefit from similar pre- and post-addition monitoring to establish the long-term efficacy of sea-level rise adaptation measures.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2019.05.011","usgsCitation":"Thorne, K., Freeman, C.M., Rosencranz, J., Ganju, N., and Guntenspergen, G.R., 2019, Thin-layer sediment addition to an existing salt marsh to combat sea-level rise and improve endangered species habitat in California, USA: Ecological Engineering, v. 136, p. 197-208, https://doi.org/10.1016/j.ecoleng.2019.05.011.","productDescription":"12 p.","startPage":"197","endPage":"208","ipdsId":"IP-108368","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488816,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2019.05.011","text":"Publisher 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Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":767165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Chase M. 0000-0003-4211-6709 cfreeman@usgs.gov","orcid":"https://orcid.org/0000-0003-4211-6709","contributorId":150052,"corporation":false,"usgs":true,"family":"Freeman","given":"Chase","email":"cfreeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":767166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosencranz, Jordan A. 0000-0003-3725-7697","orcid":"https://orcid.org/0000-0003-3725-7697","contributorId":174707,"corporation":false,"usgs":false,"family":"Rosencranz","given":"Jordan A.","affiliations":[],"preferred":false,"id":767167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":767168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":767169,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203316,"text":"70203316 - 2019 - Real-time monitoring of debris-flow velocity and mass deformation from field experiments with high sample rate lidar and video","interactions":[],"lastModifiedDate":"2021-12-23T16:27:36.508113","indexId":"70203316","displayToPublicDate":"2019-06-15T12:41:39","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Real-time monitoring of debris-flow velocity and mass deformation from field experiments with high sample rate lidar and video","docAbstract":"Debris flows evolve in both time and space in complex ways, commonly starting as coherent failures but then quickly developing structures such as roll waves and surges. This process is readily observed, but difficult to study or quantify because of the speed at which it occurs. Many methods for studying debris flows consist of point measurements (e.g., of flow height or basal stresses), which are inherently limited in spatial coverage and fail to fully capture the spatiotemporal evolution of a flow. In this study, we use a terrestrial lidar to measure debris-flow profiles at high sample rates to examine debris-flow movement with high temporal and spatial precision and accuracy. We acquired measurements during gate-release experiments at the USGS debris flume, a unique experimental facility where debris flows can be simulated at a large scale. In this study, the laser scanner was placed at the bottom of the steep flume and recorded topography of the entire flume bed and debris flow at a rate of 60 Hz along a very narrow profile (~1mm in width), providing a detailed, two-dimensional cross-section of the debris flow through time.  The high-resolution profiles enable us to quantify flow front and surge velocities of the debris flow and provide an unprecedented record of the development and evolution of the flow structure over time.  The profiles also preserve a record of the highly variable deposition pattern of the debris flow on a downstream fan with a time resolution of hundredths of a second.  In addition, video imagery from the experiment was used to track debris flow movement through time.  By acquiring high-resolution topographic data and video imagery during a controlled experiment, we have been able to obtain unusually complete quantitative measurements of debris-flow movement.  Such measurements may help constrain future modeling efforts.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh International Conference on Debris-Flow Hazards Mitigation","conferenceDate":"June 10-13, 2019","conferenceLocation":"Golden, CO","language":"English","publisher":"Mountain Scholar","doi":"10.25676/11124/173219","usgsCitation":"Rengers, F.K., Rapstine, T., Allstadt, K.E., Olsen, M., Bunn, M., Iverson, R.M., Kean, J.W., Leshchinsky, B., Logan, M., Sharifi-Mood, M., Obryk, M., and Smith, J.B., 2019, Real-time monitoring of debris-flow velocity and mass deformation from field experiments with high sample rate lidar and video, <i>in</i> Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, v. 7, Golden, CO, June 10-13, 2019, p. 192-198, https://doi.org/10.25676/11124/173219.","productDescription":"7 p.","startPage":"192","endPage":"198","ipdsId":"IP-105628","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":365022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rapstine, Thomas","contributorId":215347,"corporation":false,"usgs":true,"family":"Rapstine","given":"Thomas","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allstadt, Kate E. 0000-0003-4977-5248 kallstadt@usgs.gov","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":167684,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"kallstadt@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science 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University","active":true,"usgs":false}],"preferred":false,"id":762114,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Obryk, Maciej K. 0000-0002-8182-8656","orcid":"https://orcid.org/0000-0002-8182-8656","contributorId":203477,"corporation":false,"usgs":true,"family":"Obryk","given":"Maciej","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":762115,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762116,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70203317,"text":"70203317 - 2019 - Looking through the window of disturbance at post-wildfire debris-flow hazards","interactions":[],"lastModifiedDate":"2019-06-25T12:25:35","indexId":"70203317","displayToPublicDate":"2019-06-15T12:00:23","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Looking through the window of disturbance at post-wildfire debris-flow hazards","docAbstract":"The extreme heat from wildfire alters soil properties and incinerates vegetation, leading to changes in infiltration capacity, ground cover, soil erodibility, and rainfall interception. These changes promote increases in runoff and sediment transport that increase the likelihood of runoff-generated debris flows. Over a period of several years, referred to as the window of disturbance, the landscape recovers and wildfire-induced changes become less accentuated. Debris flows are most common in the year immediately following wildfire, but changes in the likelihood and magnitude of debris flows throughout the window of disturbance are not well constrained. Assessing debris-flow hazards throughout the post-wildfire recovery period is complicated, in part, by the myriad of wildfire-induced changes and their nonlinear relationships with sediment transport and runoff generation processes. In this study, we combine measurements of soil hydraulic properties with vegetation survey data and numerical modeling to understand how debris-flow threats are likely to change in steep, burned basins during the first two years of recovery. We focus on documenting recovery following the 2016 Fish Fire in the San Gabriel Mountains, CA, USA and demonstrate how a numerical model can be used to predict temporal changes in debris-flow properties and initiation thresholds within that region. Substantial increases in sorptivity, which represents the capillarity contribution to infiltration, and reductions in the percentage of bare soil occurred during the first 18 months following the Fish Fire. Numerical modeling suggests that these changes lead to a roughly 40% increase in the 15-minute rainfall intensity-duration threshold associated with debris-flow initiation as well as more than a three-fold decrease in debris-flow volume from post-fire year 1 to post-fire year 2. These results provide valuable constraints on changes in debris-flow thresholds within the San Gabriel Mountains as well as a general framework for exploring the impact of changing vegetation and soil hydraulic properties on debris-flow magnitude and susceptibility.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh International Conference on Debris-Flow Hazards Mitigation","conferenceDate":"June 10-13, 2019","conferenceLocation":"Golden, CO","language":"English","publisher":"Mountain Scholar","usgsCitation":"McGuire, L., Rengers, F.K., Kean, J.W., Staley, D.M., Tang, H., and Youberg, A., 2019, Looking through the window of disturbance at post-wildfire debris-flow hazards, <i>in</i> Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, v. 7, Golden, CO, June 10-13, 2019, p. 516-523.","productDescription":"8 p.","startPage":"516","endPage":"523","ipdsId":"IP-105875","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":365019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365018,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11124/173051"}],"country":"United States","state":"California","otherGeospatial":"San Gabriel Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.93067932128905,\n              34.14619208917145\n            ],\n            [\n              -117.88415908813475,\n              34.14619208917145\n            ],\n            [\n              -117.88415908813475,\n              34.178009402927835\n            ],\n            [\n              -117.93067932128905,\n              34.178009402927835\n            ],\n            [\n              -117.93067932128905,\n              34.14619208917145\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.31794738769531,\n              34.18851784459001\n            ],\n            [\n              -117.92861938476562,\n              34.18851784459001\n            ],\n            [\n              -117.92861938476562,\n              34.40804267622734\n            ],\n            [\n              -118.31794738769531,\n              34.40804267622734\n            ],\n            [\n              -118.31794738769531,\n              34.18851784459001\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McGuire, Luke","contributorId":197027,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","affiliations":[],"preferred":false,"id":762118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tang, Hui","contributorId":215352,"corporation":false,"usgs":false,"family":"Tang","given":"Hui","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":762121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Youberg, Ann 0000-0002-2005-3674","orcid":"https://orcid.org/0000-0002-2005-3674","contributorId":172400,"corporation":false,"usgs":false,"family":"Youberg","given":"Ann","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":762122,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203318,"text":"70203318 - 2019 - Topographic change detection at Chalk Cliffs, Colorado, USA, using Airborne LiDAR and UAS-based Structure-from-Motion photogrammetry","interactions":[],"lastModifiedDate":"2019-06-25T12:08:13","indexId":"70203318","displayToPublicDate":"2019-06-15T11:55:57","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Topographic change detection at Chalk Cliffs, Colorado, USA, using Airborne LiDAR and UAS-based Structure-from-Motion photogrammetry","docAbstract":"The Chalk Cliffs debris-flow site is a small headwater catchment incised into highly fractured and hydrothermally altered quartz monzonite in a semi-arid climate. Over half of the extremely steep basin is exposed bedrock. Debris flows occur multiple times per year in response to rainstorm events, typically during the summer monsoon season. The frequency of debris flows, and the uniformity of the underlying rock, make Chalk Cliffs an ideal study catchment for translating mechanistic understanding of natural debris flows to other sites. A 2008 National Center for Airborne Laser Mapping (NCALM) Airborne LiDAR survey provides baseline topography for the site; however, heretofore there has been no systematic effort to collect repeat topography of the entire site. Starting in May 2018, we made repeat surveys of the basin with an unmanned aircraft system (UAS). The UAS-based imagery was processed into (x, y, z) point clouds using Structure-from-Motion (SfM) photogrammetry. We geo-registered the point clouds using 12 ground control points placed within and around the study basin. In this study we compare the LiDAR with one SfM point cloud to assess topographic change over a 10-year time period. The difference map provides observational data relevant to understanding sediment provenance and transport at the Chalk Cliffs. The difference image indicates erosion of colluvial surfaces, with limited deposition in the survey area.  Some colluvial hillslopes show spatially uniform erosion while others experienced concentrated erosion of up to three meters depth over a ten-year period.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Seventh International Conference on Debris-Flow Hazards Mitigation","conferenceDate":"June 10-13, 2019","conferenceLocation":"Golden, CO","language":"English","publisher":"Mountain Scholar","usgsCitation":"Barnhart, K.R., Rengers, F.K., N, G.J., Tucker, G.E., Coe, J.A., Kean, J.W., Smith, J.B., Staley, D.M., Kleiber, W., and Wiens, A., 2019, Topographic change detection at Chalk Cliffs, Colorado, USA, using Airborne LiDAR and UAS-based Structure-from-Motion photogrammetry, <i>in</i> Debris-flow hazards mitigation : mechanics, monitoring, modeling, and assessment ; proceedings of the Seventh International Conference on Debris-Flow Hazards Mitigation, v. 7, Golden, CO, June 10-13, 2019, p. 85-92.","productDescription":"8 p.","startPage":"85","endPage":"92","ipdsId":"IP-105692","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":365017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365016,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11124/173051"}],"country":"United States","state":"Colorado","otherGeospatial":"Chalk Cliffs","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              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Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":762124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"N, Ghent Jessica","contributorId":215354,"corporation":false,"usgs":false,"family":"N","given":"Ghent","email":"","middleInitial":"Jessica","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":762125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tucker, Gregory E.","contributorId":177811,"corporation":false,"usgs":false,"family":"Tucker","given":"Gregory","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":762126,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762127,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kean, Jason W. 0000-0003-3089-0369 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dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762130,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kleiber, William","contributorId":145814,"corporation":false,"usgs":false,"family":"Kleiber","given":"William","email":"","affiliations":[{"id":16240,"text":"U of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":762131,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wiens, Ashton M","contributorId":215355,"corporation":false,"usgs":false,"family":"Wiens","given":"Ashton M","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":762132,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70203928,"text":"70203928 - 2019 - Airborne waveform lidar simulator using the radiative transfer of a laser pulse","interactions":[],"lastModifiedDate":"2019-06-21T11:55:24","indexId":"70203928","displayToPublicDate":"2019-06-15T11:48:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5841,"text":"Applied Sciences","onlineIssn":"2076-3417","active":true,"publicationSubtype":{"id":10}},"title":"Airborne waveform lidar simulator using the radiative transfer of a laser pulse","docAbstract":"<p><span>An airborne lidar simulator creates a lidar point cloud from a simulated lidar system, flight parameters, and the terrain digital elevation model (DEM). At the basic level, the lidar simulator computes the range from a lidar system to the surface of a terrain using the geomatics lidar equation. The simple computation effectively assumes that the beam divergence is zero. If the beam spot is meaningfully large due to the large beam divergence combined with high sensor altitude, then the beam plane with a finite size interacts with a ground target in a realistic and complex manner. The irradiance distribution of a delta-pulse beam plane is defined based on laser pulse radiative transfer. The airborne lidar simulator in this research simulates the interaction between the delta-pulse and a three-dimensional (3D) object and results in a waveform. The waveform will be convoluted using a system response function. The lidar simulator also computes the total propagated uncertainty (TPU). All sources of the uncertainties associated with the position of the lidar point and the detailed geomatics equations to compute TPU are described. The boresighting error analysis and the 3D accuracy assessment are provided as examples of the application using the simulator</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/app9122452","usgsCitation":"Kim, M., 2019, Airborne waveform lidar simulator using the radiative transfer of a laser pulse: Applied Sciences, v. 9, no. 12, 2452; 16 p., https://doi.org/10.3390/app9122452.","productDescription":"2452; 16 p.","ipdsId":"IP-108063","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":460357,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/app9122452","text":"Publisher Index Page"},{"id":364894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"12","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kim, Minsu 0000-0003-4472-0926 minsukim@contractor.usgs.gov","orcid":"https://orcid.org/0000-0003-4472-0926","contributorId":216429,"corporation":false,"usgs":true,"family":"Kim","given":"Minsu","email":"minsukim@contractor.usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":764745,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203836,"text":"70203836 - 2019 - Technical comment on “Global pattern of nest predation is disrupted by climate change in shorebirds”","interactions":[],"lastModifiedDate":"2019-08-29T11:51:12","indexId":"70203836","displayToPublicDate":"2019-06-14T11:26:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Technical comment on “Global pattern of nest predation is disrupted by climate change in shorebirds”","docAbstract":"Kubelka et al. (Report, 9 November 2018, p. 680-683) claim that climate change has disrupted patterns of nest predation in shorebirds. They report that predation rates have increased since the 1950s, especially in the Arctic. We describe methodological problems with their analyses and argue that there is no solid statistical support for their claims.","language":"English","publisher":"American Association for the Advancement of Science (AAA Science)","doi":"10.1126/science.aaw8529","usgsCitation":"Bulla, M., Reneerkens, J., Weiser, E.L., Sokolov, A., Taylor, A.R., Sittler, B., McCaffery, B.J., Ruthrauff, D.R., Catlin, D.H., Payer, D.C., Ward, D.H., Solovyeva, D.V., Santos, E., Rakhimberdiev, E., Nol, E., Kwon, E., Brown, G.S., Hevia, G.D., Gates, H.R., Johnson, J.A., van Gils, J.A., Hansen, J., Lamarre, J., Rausch, J., Conklin, J.R., Liebezeit, J., Bety, J., Lang, J., Alves, J.A., Fernandez-Elipe, J., Exo, K., Bollache, L., Bertellotti, M., Giroux, M., van de Pol, M., Johnson, M.D., Boldenow, M.L., Valcu, M., Soloviev, M., Sokolova, N., Senner, N.R., Lecomte, N., Meyer, N., Schmidt, N.M., Gilg, O., Smith, P.A., Machin, P., McGuire, R., Cerboncini, R.A., Ottvall, R., van Bemmelen, R., Swift, R., Saalfeld, 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,{"id":70203680,"text":"ofr20191066 - 2019 - Methods for installation, removal, and downloading data from the temperature profiling probe (TROD)","interactions":[],"lastModifiedDate":"2019-06-17T10:14:00","indexId":"ofr20191066","displayToPublicDate":"2019-06-14T10:43:36","publicationYear":"2019","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":"2019-1066","displayTitle":"Methods for installation, removal, and downloading data from the temperature profiling probe (TROD)","title":"Methods for installation, removal, and downloading data from the temperature profiling probe (TROD)","docAbstract":"<div><span class=\"m_3733448342018650719gmail-m_-4603299583126081203gmail-m_-2379921492963934915gmail-m_-8644347430117767367gmail-m_-511907507929002191gmail-m_8436359832717861812gmail-m_489442807887267529gmail-m_4914674994428734410gmail-m_2614710048918068246gmail-m_5293937345907857921gmail-m_-3577104690391296947gmail-m_7288871857975800404gmail-m_1198246316417613261gmail-m_8611120729607940506gmail-m_-7632111355374728481gmail-m_576502190969219428gmail-m_8445458005988159620gmail-m_-8690704865108519182gmail-m_-3624323249093714535gmail-m_-6552910349766855895gmail-m_-7944800099036263972gmail-m_-4191032378219004638gmail-m_-8405530566290365416gmail-m_3560861140942302477gmail-m_-8762184731591081924gmail-m_7918768865164179764gmail-m_2323717131574516667gmail-m_113328235153678414gmail-m_2146378332347133026gmail-m_-7315899123314948488gmail-m_-6861742919655401811m_-2295812574812470140m_-8837325497761035333gmail-m_2363048283163824455gmail-il\">This document provides a brief method overview on the deployment and removal of the temperature profiling probe developed by the U.S. Geological Survey (USGS) in 2015 and referred to as SensorRod or temperature rod (TROD). The TROD is suitable for short- to long-term deployments (days to years) for evaluating thermal gradients in soils and sediments beneath surface water. Applications include evaluating exchange between groundwater and surface water, seepage losses in agricultural canals, infiltration on hillslopes, and timing of snowmelt and runoff. The temperature sensors inside the TROD are iButtons and are meant to be replaceable when needed. The housing is water tight and is made of schedule 80 PVC pipe. Sensor intervals are flexible and can be built to specific applications.</span></div><div><span class=\"m_3733448342018650719gmail-m_-4603299583126081203gmail-m_-2379921492963934915gmail-m_-8644347430117767367gmail-m_-511907507929002191gmail-m_8436359832717861812gmail-m_489442807887267529gmail-m_4914674994428734410gmail-m_2614710048918068246gmail-m_5293937345907857921gmail-m_-3577104690391296947gmail-m_7288871857975800404gmail-m_1198246316417613261gmail-m_8611120729607940506gmail-m_-7632111355374728481gmail-m_576502190969219428gmail-m_8445458005988159620gmail-m_-8690704865108519182gmail-m_-3624323249093714535gmail-m_-6552910349766855895gmail-m_-7944800099036263972gmail-m_-4191032378219004638gmail-m_-8405530566290365416gmail-m_3560861140942302477gmail-m_-8762184731591081924gmail-m_7918768865164179764gmail-m_2323717131574516667gmail-m_113328235153678414gmail-m_2146378332347133026gmail-m_-7315899123314948488gmail-m_-6861742919655401811m_-2295812574812470140m_-8837325497761035333gmail-m_2363048283163824455gmail-il\"><br data-mce-bogus=\"1\"></span></div><div><span class=\"m_3733448342018650719gmail-m_-4603299583126081203gmail-m_-2379921492963934915gmail-m_-8644347430117767367gmail-m_-511907507929002191gmail-m_8436359832717861812gmail-m_489442807887267529gmail-m_4914674994428734410gmail-m_2614710048918068246gmail-m_5293937345907857921gmail-m_-3577104690391296947gmail-m_7288871857975800404gmail-m_1198246316417613261gmail-m_8611120729607940506gmail-m_-7632111355374728481gmail-m_576502190969219428gmail-m_8445458005988159620gmail-m_-8690704865108519182gmail-m_-3624323249093714535gmail-m_-6552910349766855895gmail-m_-7944800099036263972gmail-m_-4191032378219004638gmail-m_-8405530566290365416gmail-m_3560861140942302477gmail-m_-8762184731591081924gmail-m_7918768865164179764gmail-m_2323717131574516667gmail-m_113328235153678414gmail-m_2146378332347133026gmail-m_-7315899123314948488gmail-m_-6861742919655401811m_-2295812574812470140m_-8837325497761035333gmail-m_2363048283163824455gmail-il\">A joint patent (U.S 10/180,360.) and license agreement between the USGS and Alpha Mach for the TROD design was obtained in 2019, and a paper in Water Resource Research describes the design and testing (Naranjo and Turcotte, 2015).</span></div>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191066","usgsCitation":"Naranjo, R.C., 2019, Methods for installation, removal, and downloading data from the temperature profiling probe (TROD): U.S. Geological Survey Open-File Report 2019–1066, 14 p., https://doi.org/10.3133/ofr20191066.","productDescription":"Report: iv, 14 p.","numberOfPages":"14","onlineOnly":"Y","ipdsId":"IP-093927","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":364599,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1066/coverthb.jpg"},{"id":364600,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1066/ofr20191066.pdf","text":"Report","size":"42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2019-1066"}],"contact":"<p><a data-mce-href=\"https://www.usgs.gov/centers/nv-water/connect\" href=\"https://www.usgs.gov/centers/nv-water/connect\" target=\"_blank\" rel=\"noopener\">Director</a>,&nbsp;<br><a data-mce-href=\"https://www.usgs.gov/centers/nv-water\" href=\"https://www.usgs.gov/centers/nv-water\" target=\"_blank\" rel=\"noopener\">Nevada Water Science Center</a><br><a data-mce-href=\"https://www.usgs.gov/\" href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>2730 N. Deer Run Road<br>Carson City, Nevada 95819<br></p>","tableOfContents":"<ul><li>Introduction</li><li>Common Type of Temperature Tracing Approaches</li><li>Challenges of Monitoring Sediment Temperature</li><li>TROD Components</li><li>TROD Calibration</li><li>Materials Needed for Installation</li><li>Installation</li><li>Removal</li><li>Retrieving Data from TRODs</li><li>WeeButton Software</li><li>Data Integrity</li><li>For Applications, Updates, and New Information</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-06-11","noUsgsAuthors":false,"publicationDate":"2019-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763579,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203935,"text":"70203935 - 2019 - Spatially consistent high-resolution land surface temperature mosaics for thermophysical mapping of the Mojave Desert","interactions":[],"lastModifiedDate":"2019-06-24T15:50:40","indexId":"70203935","displayToPublicDate":"2019-06-13T15:47:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3380,"text":"Sensors","active":true,"publicationSubtype":{"id":10}},"title":"Spatially consistent high-resolution land surface temperature mosaics for thermophysical mapping of the Mojave Desert","docAbstract":"Daytime and nighttime thermal infrared observations acquired by the ASTER and MODIS instruments onboard the NASA Terra spacecraft have produced a dataset that can be used to map thermophysical properties across large regions, which have implications on surface processes, thermal environments and habitat suitability for desert species. ASTER scenes acquired between 2004 and 2012 are combined using new mosaicking and data-fusion techniques to produce a map of daytime and nighttime land surface temperature with coverage exclusive of the effects of clouds and weather. These data are combined with Landsat 7 visible imagery to generate a consistent map of apparent thermal inertia (ATI), which is related to the presence of exposed bedrock, rocks, fine-grained sediments and water on the surface. The resulting datasets are compared to known geomorphic units and surface types to generate an interpreted mechanical composition map of the entire Mojave Desert at 100 m per pixel that is most sensitive to large clast size distinctions in grain size distribution.","language":"English","publisher":"MDPI","doi":"10.3390/s19122669","usgsCitation":"Nowicki, S.A., Inman, R.D., Esque, T., Nussear, K., and Edwards, C., 2019, Spatially consistent high-resolution land surface temperature mosaics for thermophysical mapping of the Mojave Desert: Sensors, v. 19, no. 12, 2669; 17 p., https://doi.org/10.3390/s19122669.","productDescription":"2669; 17 p.","ipdsId":"IP-093332","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467532,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/s19122669","text":"Publisher Index Page"},{"id":364965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"ARizone, California, Nevada, Utah","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119,\n              34\n            ],\n            [\n              -113,\n              34\n            ],\n            [\n              -113,\n              37\n            ],\n            [\n              -119,\n              37\n            ],\n            [\n              -119,\n              34\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"19","issue":"12","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Nowicki, Scott A","contributorId":216483,"corporation":false,"usgs":false,"family":"Nowicki","given":"Scott","email":"","middleInitial":"A","affiliations":[{"id":13339,"text":"University of New Mexico, Albuquerque","active":true,"usgs":false}],"preferred":false,"id":764840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Inman, Richard D. 0000-0002-1982-7791 rdinman@usgs.gov","orcid":"https://orcid.org/0000-0002-1982-7791","contributorId":187754,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764842,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nussear, Kenneth","contributorId":194538,"corporation":false,"usgs":false,"family":"Nussear","given":"Kenneth","affiliations":[{"id":24618,"text":"Department of Geography, University of Nevada, Reno, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":764843,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Christopher S.","contributorId":206168,"corporation":false,"usgs":false,"family":"Edwards","given":"Christopher S.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":764844,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202483,"text":"sir20195011 - 2019 - Hydrologic and hydraulic analyses of selected streams in Richland County, Ohio","interactions":[],"lastModifiedDate":"2019-06-18T08:53:48","indexId":"sir20195011","displayToPublicDate":"2019-06-13T15:11:21","publicationYear":"2019","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":"2019-5011","displayTitle":"Hydrologic and Hydraulic Analyses of Selected Streams in Richland County, Ohio","title":"Hydrologic and hydraulic analyses of selected streams in Richland County, Ohio","docAbstract":"<p>Hydrologic and hydraulic analyses were done for selected reaches of Clear Fork Mohican River and Cedar Fork in Richland County, Ohio. To update and expand a portion of the Federal Emergency Management Agency detailed Flood Insurance Study, the U.S. Geological Survey (USGS) and the Muskingum Watershed Conservancy District initiated a cooperative study. The study comprised an 18.6-mile reach of the Clear Fork Mohican River and a 5.9-mile reach of Cedar Fork.</p><p>Historical streamflow data from the streamgage Clear Fork Mohican River at Bellville, Ohio (USGS station number 03131982) and regional regression equations were used to estimate instantaneous peak streamflows for floods with 10-, 4-, 2-, 1-, and 0.2-percent and 1-percent plus annual exceedance probabilities. The 1-percent plus flood elevation is defined by the Federal Emergency Management Agency as a flood elevation derived by using streamflows that include the average predictive error for the regression equation streamflow calculation for the Flood Risk project. This error is then added to the 1-percent annual exceedance probability flood streamflow to calculate the new 1-percent plus streamflow.</p><p>The annual exceedance probability streamflows were then used in a Hydrologic Engineering Center-River Analysis System step-backwater model to determine water-surface elevation profiles and flood-inundation boundaries for the 10-, 4-, 2-, 1-, and 0.2-percent and 1-percent plus annual exceedance probability floods and a regulatory floodway along a selected reach of each stream. The Clear Fork Mohican River model was calibrated to 16 flood events by using the current stage-streamflow relation at the streamgage Clear Fork Mohican River at Bellville, Ohio (USGS station number 03131982) and a submersible pressure transducer. Flood-inundation boundaries for the 1- and 0.2-percent annual exceedance probability floods and a regulatory floodway were mapped for each stream.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195011","collaboration":"Prepared in cooperation with the Muskingum Watershed Conservancy District and Richland County","usgsCitation":"Ostheimer, C.J., 2019, Hydrologic and hydraulic analyses of selected streams in Richland County, Ohio: U.S. Geological Survey Scientific Investigations Report 2019–5011, 18 p., https://doi.org/10.3133/sir20195011.","productDescription":"Report: iv, 18 p., Data Release","numberOfPages":"26","ipdsId":"IP-100978","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":364655,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NMXM5B","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Geospatial datasets and hydraulic models of the Clear Fork Mohican River and Cedar Fork in Richland County, Ohio"},{"id":364654,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5011/sir20195011.pdf","text":"Report","size":"2.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5011"},{"id":364653,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5011/coverthb.jpg"}],"country":"United States","state":"Ohio","county":"Richland county","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.66525268554688,\n              40.54850462620186\n            ],\n            [\n              -82.33943939208984,\n              40.54850462620186\n            ],\n            [\n              -82.33943939208984,\n              40.77352187640244\n            ],\n            [\n              -82.66525268554688,\n              40.77352187640244\n            ],\n            [\n              -82.66525268554688,\n              40.54850462620186\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/oki-water\" href=\"https://www.usgs.gov/centers/oki-water\">Ohio-Kentucky-Indiana Water Science Center</a><br>U.S. Geological Survey<br>6460 Busch Boulevard Suite 100<br>Columbus, OH 43229–1737 <br></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Study Approach</li><li>Hydrologic Analyses</li><li>Hydraulic Analyses</li><li>Development of Flood-Inundation Maps</li><li>Summary</li><li>References Cited</li><li>Appendix 1</li><li>Appendix 2</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2019-06-13","noUsgsAuthors":false,"publicationDate":"2019-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Ostheimer, Chad J. 0000-0002-4528-8867","orcid":"https://orcid.org/0000-0002-4528-8867","contributorId":213950,"corporation":false,"usgs":true,"family":"Ostheimer","given":"Chad","email":"","middleInitial":"J.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":758795,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70202339,"text":"fs20193004 - 2019 - Water resources of Tensas Parish, Louisiana","interactions":[],"lastModifiedDate":"2019-07-22T08:09:08","indexId":"fs20193004","displayToPublicDate":"2019-06-13T14:21:14","publicationYear":"2019","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":"2019-3004","displayTitle":"Water Resources of Tensas Parish, Louisiana","title":"Water resources of Tensas Parish, Louisiana","docAbstract":"<p>Information concerning the availability, use, and quality&nbsp;of&nbsp;water in Tensas Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, 38.01 million gallons per day (Mgal/d) of water were withdrawn in Tensas Parish, including about 33.02 Mgal/d from groundwater sources and about 4.99 Mgal/d from surface-water sources. Withdrawals for agricultural use, composed of general irrigation, rice irrigation, aquaculture, and livestock, accounted for about 97 percent (36.88 Mgal/d) of the total water withdrawn. Other use categories included public supply and rural domestic. Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicated that water withdrawals peaked in 2014. The large increase in 1985 relative to 1980 and 1990 for groundwater usage is likely an outlier that is attributable to a change in methodology for estimating rice irrigation. A transition in available farm-by-farm data from 1980 to 1985 to 1990 resulted in three different methods being used for estimating groundwater withdrawals for rice irrigation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193004","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., 2019, Water resources of Tensas Parish, Louisiana: U.S. Geological Survey Fact Sheet 2019–3004, 6 p., https://doi.org/10.3133/fs20193004.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-081697","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":364625,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data 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data-mce-href=\"mailto:%20gs-w-lmg_center_director@usgs.gov\" href=\"mailto:%20gs-w-lmg_center_director@usgs.gov\">Director</a>, <a data-mce-href=\"https://la.water.usgs.gov/\" href=\"https://la.water.usgs.gov/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>3535 S. Sherwood Forest Blvd., Suite 120 <br>Baton Rouge, LA 70816 <br></p>","tableOfContents":"<ul><li>Introduction</li><li>Groundwater Resources</li><li>Surface-Water Resources</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-06-13","noUsgsAuthors":false,"publicationDate":"2019-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757886,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203801,"text":"70203801 - 2019 - Benthic foraminiferal biotic events related to the Paleocene–Eocene Thermal Maximum along the California Margin","interactions":[],"lastModifiedDate":"2019-06-13T13:07:15","indexId":"70203801","displayToPublicDate":"2019-06-13T13:05:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Benthic foraminiferal biotic events related to the Paleocene–Eocene Thermal Maximum along the California Margin","docAbstract":"The faunal expression of the Paleocene-Eocene Thermal Maximum (PETM) is well documented in deep-sea sediments. However, few studies have examined continental margin sections, especially active margins. The Moreno and Lodo formations, Central California, were deposited along the eastern margin of a north-south trending forearc basin on the convergent margin of California during the Cretaceous through Late Cenozoic. The Tumey Gulch section which includes the Moreno and Lodo formations, is 80 m thick, contains the Paleocene-Eocene boundary and Carbon Isotope Excursion (CIE), and was deposited at abyssal to lower bathyal depths along an active continental margin. Benthic foraminiferal assemblages from this section record faunal changes related to the PETM and a younger hyperthermal, ETM3 which include a disruption of the gradual shallowing of water depths and fluctuation of the CCD.  Associated with the onset of the hyperthermals in this section is a red clay-siltstone layer (low calcium carbonate content) and an increase in smoothly finished dissolution resistant agglutinated benthic foraminiferal species which corresponds with a rapid shoaling of the CCD.  The subsequent overcompensation is identified by a rapid change to shallower benthic biofacies faunas, increased sediment rate, current activity, and terrestrial organic matter which is associated with increased weathering. \n\nFurther analysis of the foraminiferal faunas identified the benthic foraminiferal extinction event (BEE), deep water agglutinated faunal acmes, and fluctuations in the calcareous foraminiferal assemblages which indicate changes in the paleoenvironmental conditions (e.g. dissolved oxygen, sedimentation rates and current activity, and the influx of organic carbon) during the PETM and ETM3. The Ynezian, Bulitian, and Penutian California benthic foraminiferal stages are recognized in the Tumey Gulch section as well as the benthic foraminiferal extinction event (BEE) which occurs at the onset of the PETM and is distinguished by the last appearance of Paleocene species and the first appearance of many Eocene species. Agglutinated foraminiferal species dominate the late Paleocene through early Eocene part of the section indicating deposition occurred at abyssal depths below the CCD and that the environment was oligotrophic with moderate to low organic flux. The Glomospira acme zone is recognized at the base of the CIE and just above the top of red clay-siltstone layer and suggests increased terrestrial organic matter and elevated sedimentation rates. The abundance of calcareous species, specifically Bulimina alazanensis, followed by the appearance of opportunistic taxa (Tappanina and Quadrimorphina) in the PETM interval indicates deposition within the lower bathyal biofacies and a drop in the depth of the CCD.  Eocene species characteristic of the Survivor faunal group (Anomalinoides, Bulimina, Cibicidoides, and Pleurostomella) appear above this event. Foraminiferal assemblages dominated by agglutinated foraminifera appear in sediments overlying the PETM interval and indicate deposition occurred at abyssal depths and below the CCD. Calcareous foraminiferal assemblages appear higher in the section as water depths decrease. The presence of a second red clay-siltstone layer associated with a second isotope excursion and faunal changes in the upper part of the section indicate the presence of another hyperthermal, ETM3.","language":"English","publisher":"Elsevier","doi":"10.1016/j.marmicro.2019.04.004","usgsCitation":"McDougall-Reid, K., and John, C.M., 2019, Benthic foraminiferal biotic events related to the Paleocene–Eocene Thermal Maximum along the California Margin: Marine Micropaleontology, v. 150, https://doi.org/10.1016/j.marmicro.2019.04.004.","ipdsId":"IP-099252","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":364643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70203896,"text":"70203896 - 2019 - Estimating the pressure-limited dynamic capacity and costs of basin-scale CO2 storage in a Saline Formation","interactions":[],"lastModifiedDate":"2019-06-20T10:48:26","indexId":"70203896","displayToPublicDate":"2019-06-13T10:42:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2049,"text":"International Journal of Greenhouse Gas Control","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Estimating the pressure-limited dynamic capacity and costs of basin-scale CO<sub>2</sub> storage in a saline formation","title":"Estimating the pressure-limited dynamic capacity and costs of basin-scale CO2 storage in a Saline Formation","docAbstract":"<p><span>Deployment of carbon capture and storage (CCS) could be necessary to be able to satisfy baseload electricity demand, maintain diversity in the energy mix, and achieve mitigation of carbon dioxide (CO</span><sub>2</sub><span>) emissions at lowest cost (</span>IPCC, 2015<span>;&nbsp;</span>U.S. DOE, 2016<span>). If basin-, regional- or national-scale deployment of CCS is needed, it may be possible to store only a small fraction of the captured CO</span><sub>2</sub><span>&nbsp;in oil and natural gas reservoirs. The vast majority would likely have to be stored in saline formations. Pressure buildup as a result of injecting CO</span><sub>2</sub><span>&nbsp;into such reservoirs is expected to be an important source of risk associated with CO</span><sub>2</sub><span>&nbsp;storage, and could constrain dynamic storage capacities (maximum injection rates) to be far below estimates based on access to theoretical storage resources. Estimates of CO</span><sub>2</sub><span>&nbsp;storage costs based on an assumption of practical availability of the theoretical storage resource could lead to underestimation of the costs of CO</span><sub>2</sub><span>&nbsp;storage. In this study, simulation results suggest that the pressure-limited dynamic CO</span><sub>2</sub><span>&nbsp;storage capacity of the Mount Simon Sandstone could be less than 4% of the theoretical storage resource in this saline formation, and storage costs could be an order of magnitude higher than recent estimates. However, consideration of the geologic heterogeneity in this deep saline formation allowed definition of a high injectivity zone, and estimated costs of CO</span><sub>2</sub><span>&nbsp;storage in this “sweet spot” of the reservoir approached recent estimates that did not include costs for pressure management.</span></p>","language":"English","publisher":"Elsevier Ltd.","doi":"10.1016/j.ijggc.2019.05.031","usgsCitation":"Anderson, S.T., and Jahediesfanjani, H., 2019, Estimating the pressure-limited dynamic capacity and costs of basin-scale CO2 storage in a Saline Formation: International Journal of Greenhouse Gas Control, v. 88, p. 156-167, https://doi.org/10.1016/j.ijggc.2019.05.031.","productDescription":"12 p.","startPage":"156","endPage":"167","ipdsId":"IP-102164","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":467533,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijggc.2019.05.031","text":"Publisher Index Page"},{"id":364831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Kentucky","otherGeospatial":"Mount Simon Sandstone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.52734374999999,\n              41.07935114946899\n            ],\n            [\n              -91.03271484375,\n              39.45316112807394\n            ],\n            [\n              -90.37353515625,\n              38.44498466889473\n            ],\n            [\n              -89.07714843749999,\n              38.151837403006766\n            ],\n            [\n              -86.68212890625,\n              37.35269280367274\n            ],\n            [\n              -84.5068359375,\n              37.82280243352756\n            ],\n            [\n              -85.14404296875,\n              39.35129035526705\n            ],\n            [\n              -86.68212890625,\n              40.763901280945866\n            ],\n            [\n              -88.87939453125,\n              40.6306300839918\n            ],\n            [\n              -90.52734374999999,\n              41.07935114946899\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"88","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":764635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jahediesfanjani, Hossein 0000-0001-6281-5166 hjahediesfanjani@usgs.gov","orcid":"https://orcid.org/0000-0001-6281-5166","contributorId":193397,"corporation":false,"usgs":false,"family":"Jahediesfanjani","given":"Hossein","email":"hjahediesfanjani@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":764665,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70219072,"text":"70219072 - 2019 - Quantitative evaluation of vitrinite reflectance in shale using Raman spectroscopy and multivariate analysis","interactions":[],"lastModifiedDate":"2021-03-23T15:04:37.764859","indexId":"70219072","displayToPublicDate":"2019-06-13T10:00:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1709,"text":"Fuel","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative evaluation of vitrinite reflectance in shale using Raman spectroscopy and multivariate analysis","docAbstract":"<p><span>The current research builds upon a previously published study that demonstrated the combination of Raman spectroscopy coupled with multivariate analysis (MVA) for the prediction of thermal maturity in coal by evaluating the efficacy of this method for the prediction of thermal maturity in shale. MVA techniques eliminate analyst bias in peak-fitting methods by using the full Raman spectrum, and then extricating the important spectral regions for distinguishing samples and building accurate, robust models. Partial least squares (PLS) regression models were developed using Raman spectra and VRo values (0.58–4.59%) for 53 geographically diverse shale chip samples, and 43 shale powder samples. Separate PLS models were built using Raman spectra from shale chips or powders. The calibration sets were validated using approximately one-third of the samples to rigorously assess the predictive accuracy of the models. The root mean standard error of prediction was 0.24 for the shale chip model, and 0.28 for the shale powder model. The coefficients of determination (</span><i>R</i><sup>2</sup><span>) for the cross-validated data sets were identical (0.90, chips; 0.90, powders), revealing a strong linearity despite the geographic and age diversity of the samples. This study demonstrates the validity of using PLS models for the prediction of shale VRo from Raman spectra. The MVA method described herein presents a Raman alternative to the VRo industry benchmark for assessing thermal maturity in shale that is not imperiled by the shortcomings and subjectivity of peak-fitting methods.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fuel.2019.05.156","usgsCitation":"Lupoi, J.S., Hackley, P.C., Birsic, E., Fritz, L.P., Solotky, L., Weislogel, A., and Schlaegle, S., 2019, Quantitative evaluation of vitrinite reflectance in shale using Raman spectroscopy and multivariate analysis: Fuel, v. 254, 115573, 9 p., https://doi.org/10.1016/j.fuel.2019.05.156.","productDescription":"115573, 9 p.","ipdsId":"IP-106000","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":467534,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fuel.2019.05.156","text":"Publisher Index 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,{"id":70203964,"text":"70203964 - 2019 - Spatial patterns of rainbow smelt energetic condition in Lakes Huron and Erie in 2017: Evidence for Lake Huron resource limitation","interactions":[],"lastModifiedDate":"2019-08-15T07:50:07","indexId":"70203964","displayToPublicDate":"2019-06-13T09:54:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patterns of rainbow smelt energetic condition in Lakes Huron and Erie in 2017: Evidence for Lake Huron resource limitation","docAbstract":"<p><span>Rainbow smelt (</span><i>Osmerus mordax</i><span>) is a key planktivore and prey fish in Lake Huron. Given the declining offshore productivity in the lake since the early 2000s, we described the energy content of rainbow smelt in 2017 across five different regions (North Channel, Georgian Bay, Saginaw Bay, northern main basin, southern main basin) where phytoplankton and zooplankton productivity likely varied. To increase contrast across the productivity gradient, rainbow smelt energy content was also estimated from western Lake Erie. Within the North Channel where large fish (≥90 mm, total length) were sampled most frequently, mean energy density (kJ/g wet weight) varied seasonally: 4.29 in April (month of spawning), 3.86 in June, 3.99 in July, and up to 4.35 in September. Energy density of rainbow smelt from higher productivity western Lake Erie was 37% (large fish ≥90 mm) to 60% higher (small fish &lt;90 mm) than that of fish from Lake Huron. Within Lake Huron, energy density of rainbow smelt from North Channel was slightly higher than those from other regions; rainbow smelt from Georgian Bay generally had the lowest energy density. Across regions, including western Lake Erie, energy density increased with chlorophyll&nbsp;</span><i>a</i><span>&nbsp;concentration. Compared with Lake Huron studies prior to 2004, when oligotrophication had not yet accelerated, energy density of rainbow smelt in 2017 was up to 31% lower. The decline in rainbow smelt energy density is likely the result of declining primary and secondary pelagic production and increased resource limitation for planktivorous fish.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2019.06.001","usgsCitation":"Dai, Q., Bunnell, D., Diana, J.S., Pothoven, S.A., Eaton, L.A., O’Brien, T.P., and Kraus, R., 2019, Spatial patterns of rainbow smelt energetic condition in Lakes Huron and Erie in 2017: Evidence for Lake Huron resource limitation: Journal of Great Lakes Research, v. 45, no. 4, p. 830-839, https://doi.org/10.1016/j.jglr.2019.06.001.","productDescription":"10 p.","startPage":"830","endPage":"839","ipdsId":"IP-104551","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467535,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2019.06.001","text":"Publisher Index 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