Adaptive management is widely advocated to improve environmental management. Derivations of optimal strategies for adaptive management, however, tend to be case specific and time consuming. In contrast, managers might seek relatively simple guidance, such as insight into when a new potential management action should be considered, and how much effort should be expended on trialing such an action. We constructed a two-time-step scenario where a manager is choosing between two possible management actions. The manager has a total budget that can be split between a learning phase and an implementation phase. We use this scenario to investigate when and how much a manager should invest in learning about the management actions available. The optimal investment in learning can be understood intuitively by accounting for the expected value of sample information, the benefits that accrue during learning, the direct costs of learning, and the opportunity costs of learning. We find that the optimal proportion of the budget to spend on learning is characterized by several critical thresholds that mark a jump from spending a large proportion of the budget on learning to spending nothing. For example, as sampling variance increases, it is optimal to spend a larger proportion of the budget on learning, up to a point: if the sampling variance passes a critical threshold, it is no longer beneficial to invest in learning. Similar thresholds are observed as a function of the total budget and the difference in the expected performance of the two actions. We illustrate how this model can be applied using a case study of choosing between alternative rearing diets for hihi, an endangered New Zealand passerine. Although the model presented is a simplified scenario, we believe it is relevant to many management situations. Managers often have relatively short time horizons for management, and might be reluctant to consider further investment in learning and monitoring beyond collecting data from a single time period.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1515","usgsCitation":"Moore, A.L., Walker, L., Runge, M.C., McDonald-Madden, E., and McCarthy, M.A., 2017, Two-step adaptive management for choosing between two management actions: Ecological Applications, v. 27, no. 4, p. 1210-1222, https://doi.org/10.1002/eap.1515.","productDescription":"13 p.","startPage":"1210","endPage":"1222","ipdsId":"IP-076800","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":490045,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-01605477","text":"External Repository"},{"id":343215,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357277,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70189119/70189119.pdf","text":"USGS open-access version of article","linkFileType":{"id":1,"text":"pdf"}}],"volume":"27","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-19","publicationStatus":"PW","scienceBaseUri":"59576334e4b0d1f9f051b4ff","contributors":{"authors":[{"text":"Moore, Alana L.","contributorId":194047,"corporation":false,"usgs":false,"family":"Moore","given":"Alana","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":703051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Leila","contributorId":194048,"corporation":false,"usgs":false,"family":"Walker","given":"Leila","email":"","affiliations":[],"preferred":false,"id":703052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":703050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonald-Madden, Eve","contributorId":139968,"corporation":false,"usgs":false,"family":"McDonald-Madden","given":"Eve","email":"","affiliations":[{"id":13337,"text":"CSIRO Ecosystem Services, Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":703053,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCarthy, Michael A","contributorId":173778,"corporation":false,"usgs":false,"family":"McCarthy","given":"Michael","email":"","middleInitial":"A","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":703054,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189122,"text":"70189122 - 2017 - How can climate change and engineered water conveyance affect sediment dynamics in the San Francisco Bay-Delta system?","interactions":[],"lastModifiedDate":"2017-06-30T12:08:19","indexId":"70189122","displayToPublicDate":"2017-06-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"How can climate change and engineered water conveyance affect sediment dynamics in the San Francisco Bay-Delta system?","docAbstract":"Suspended sediment concentration is an important estuarine health indicator. Estuarine ecosystems rely on the maintenance of habitat conditions, which are changing due to direct human impact and climate change. This study aims to evaluate the impact of climate change relative to engineering measures on estuarine fine sediment dynamics and sediment budgets. We use the highly engineered San Francisco Bay-Delta system as a case study. We apply a process-based modeling approach (Delft3D-FM) to assess the changes in hydrodynamics and sediment dynamics resulting from climate change and engineering scenarios. The scenarios consider a direct human impact (shift in water pumping location), climate change (sea level rise and suspended sediment concentration decrease), and abrupt disasters (island flooding, possibly as the results of an earthquake). Levee failure has the largest impact on the hydrodynamics of the system. Reduction in sediment input from the watershed has the greatest impact on turbidity levels, which are key to primary production and define habitat conditions for endemic species. Sea level rise leads to more sediment suspension and a net sediment export if little room for accommodation is left in the system due to continuous engineering works. Mitigation measures like levee reinforcement are effective for addressing direct human impacts, but less effective for a persistent, widespread, and increasing threat like sea level rise. Progressive adaptive mitigation measures to the changes in sediment and flow dynamics resulting from sea level rise may be a more effective strategy. Our approach shows that a validated process-based model is a useful tool to address long-term (decades to centuries) changes in sediment dynamics in highly engineered estuarine systems. In addition, our modeling approach provides a useful basis for long-term, process-based studies addressing ecosystem dynamics and health.
","language":"English","publisher":"Springer","doi":"10.1007/s10584-017-1954-8","usgsCitation":"Achete, F., Van der Wegen, M., Roelvink, J.A., and Jaffe, B.E., 2017, How can climate change and engineered water conveyance affect sediment dynamics in the San Francisco Bay-Delta system?: Climatic Change, v. 142, p. 375-389, https://doi.org/10.1007/s10584-017-1954-8.","productDescription":"15 p.","startPage":"375","endPage":"389","ipdsId":"IP-081766","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":461471,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-017-1954-8","text":"Publisher Index Page"},{"id":343222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay-Delta system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.3709716796875,\n 37.26968150969715\n ],\n [\n -120.6243896484375,\n 37.26968150969715\n ],\n [\n -120.6243896484375,\n 39.39799959542146\n ],\n [\n -123.3709716796875,\n 39.39799959542146\n ],\n [\n -123.3709716796875,\n 37.26968150969715\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"142","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"59576333e4b0d1f9f051b4f9","contributors":{"authors":[{"text":"Achete, Fernanda","contributorId":174686,"corporation":false,"usgs":false,"family":"Achete","given":"Fernanda","email":"","affiliations":[{"id":27497,"text":"UNESCO-IHE, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":703061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van der Wegen, Mick","contributorId":191095,"corporation":false,"usgs":false,"family":"Van der Wegen","given":"Mick","email":"","affiliations":[],"preferred":false,"id":703062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roelvink, Jan Adriaan","contributorId":194052,"corporation":false,"usgs":false,"family":"Roelvink","given":"Jan","email":"","middleInitial":"Adriaan","affiliations":[],"preferred":false,"id":703063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":703060,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189057,"text":"70189057 - 2017 - Response of deep groundwater to land use change in desert basins of the Trans-Pecos region, Texas, USA: Effects on infiltration, recharge, and nitrogen fluxes","interactions":[],"lastModifiedDate":"2025-01-29T15:48:32.30352","indexId":"70189057","displayToPublicDate":"2017-06-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Response of deep groundwater to land use change in desert basins of the Trans-Pecos region, Texas, USA: Effects on infiltration, recharge, and nitrogen fluxes","docAbstract":"Quantifying the effects of anthropogenic processes on groundwater in arid regions can be complicated by thick unsaturated zones with long transit times. Human activities can alter water and nutrient fluxes, but their impact on groundwater is not always clear. This study of basins in the Trans-Pecos region of Texas links anthropogenic land use and vegetation change with alterations to unsaturated zone fluxes and regional increases in basin groundwater NO3−concentrations. Median increases in groundwater NO3− (by 0.7–0.9 mg-N/l over periods ranging from 10 to 50+ years) occurred despite low precipitation (220–360 mm/year), high potential evapotranspiration (~1570 mm/year), and thick unsaturated zones (10–150+ m). Recent model simulations indicate net infiltration and groundwater recharge can occur beneath Trans-Pecos basin floors, and may have increased due to irrigation and vegetation change. These processes were investigated further with chemical and isotopic data from groundwater and unsaturated zone cores. Some unsaturated zone solute profiles indicate flushing of natural salt accumulations has occurred. Results are consistent with human-influenced flushing of naturally accumulated unsaturated zone nitrogen as an important source of NO3− to the groundwater. Regional mass balance calculations indicate the mass of natural unsaturated zone NO3− (122–910 kg-N/ha) was sufficient to cause the observed groundwater NO3− increases, especially if augmented locally with the addition of fertilizer N. Groundwater NO3− trends can be explained by small volumes of high NO3− modern recharge mixed with larger volumes of older groundwater in wells. This study illustrates the importance of combining long-term monitoring and targeted process studies to improve understanding of human impacts on recharge and nutrient cycling in arid regions, which are vulnerable to the effects of climate change and increasing human reliance on dryland ecosystems.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.11178","usgsCitation":"Robertson, W.M., Bohlke, J., and Sharp, J.M., 2017, Response of deep groundwater to land use change in desert basins of the Trans-Pecos region, Texas, USA: Effects on infiltration, recharge, and nitrogen fluxes: Hydrological Processes, v. 31, no. 13, p. 2349-2364, https://doi.org/10.1002/hyp.11178.","productDescription":"16 p.","startPage":"2349","endPage":"2364","ipdsId":"IP-079579","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":343208,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357279,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70189057/70189057.pdf","text":"USGS open-access version of article","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Texas","otherGeospatial":"Trans-Pecos region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.5,\n 30.1\n ],\n [\n -104.05,\n 30.1\n ],\n [\n -104.05,\n 31.4\n ],\n [\n -105.5,\n 31.4\n ],\n [\n -105.5,\n 30.1\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"13","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-11","publicationStatus":"PW","scienceBaseUri":"59576334e4b0d1f9f051b504","contributors":{"authors":[{"text":"Robertson, Wendy Marie","contributorId":193940,"corporation":false,"usgs":false,"family":"Robertson","given":"Wendy","email":"","middleInitial":"Marie","affiliations":[],"preferred":false,"id":702677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":702676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharp, John M.","contributorId":149229,"corporation":false,"usgs":false,"family":"Sharp","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":702678,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188988,"text":"ofr20171076 - 2017 - Grand challenges for integrated USGS science — A workshop report","interactions":[],"lastModifiedDate":"2022-04-22T15:47:46.396782","indexId":"ofr20171076","displayToPublicDate":"2017-06-29T15:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1076","title":"Grand challenges for integrated USGS science — A workshop report","docAbstract":"The U.S. Geological Survey (USGS) has a long history of advancing the traditional Earth science disciplines and identifying opportunities to integrate USGS science across disciplines to address complex societal problems. The USGS science strategy for 2007–2017 laid out key challenges in disciplinary and interdisciplinary arenas, culminating in a call for increased focus on a number of crosscutting science directions. Ten years on, to further the goal of integrated science and at the request of the Executive Leadership Team (ELT), a workshop with three dozen invited scientists spanning different disciplines and career stages in the Bureau convened on February 7–10, 2017, at the USGS John Wesley Powell Center for Analysis and Synthesis in Fort Collins, Colorado.
The workshop focused on identifying “grand challenges” for integrated USGS science. Individual participants identified nearly 70 potential grand challenges before the workshop and through workshop discussions. After discussion, four overarching grand challenges emerged:
Participants also identified a “comprehensive science challenge” that highlights the development of integrative science, data, models, and tools—all interacting in a modular framework—that can be used to address these and other future grand challenges:
EarthMAP is our long-term vision for an integrated scientific framework that spans traditional scientific boundaries and disciplines, and integrates the full portfolio of USGS science: research, monitoring, assessment, analysis, and information delivery.
The Department of Interior, and the Nation in general, have a vast array of information needs. The USGS meets these needs by having a broadly trained and agile scientific workforce. Encouraging and supporting cross-discipline engagement would position the USGS to tackle complex and multifaceted scientific and societal challenges in the 21st Century.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171076","usgsCitation":"Jenni, K.E., Goldhaber, M.B., Betancourt, J.L., Baron, J.S., Bristol, R.S., Cantrill, Mary, Exter, P.E., Focazio, M.J., Haines, J.W., Hay, L.E., Hsu, Leslie, Labson, V.F., Lafferty, K.D., Ludwig, K.A., Milly, P.C., Morelli, T.L., Morman, S.A., Nassar, N.T., Newman, T.R., Ostroff, A.C., Read, J.S., Reed, S.C., Shapiro, C.D., Smith, R.A., Sanford, W.E., Sohl, T.L., Stets, E.G., Terando, A.J., Tillitt, D.E., Tischler, M.A., Toccalino, P.L., Wald, D.J., Waldrop, M.P., Wein, Anne, Weltzin, J.F., and Zimmerman, C.E., 2017, Grand challenges for integrated USGS science—A workshop report: U.S. Geological Survey Open-File Report 2017–1076, 94 p., https://doi.org/10.3133/ofr20171076.","productDescription":"94 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-085873","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":343080,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1076/ofr20171076.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1076"},{"id":343079,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1076/coverthbtest.jpg"}],"contact":"John Wesley Powell Center
U.S. Geological Survey
2150 Centre Avenue
Building C
Fort Collins, CO 80526-8118
https://powellcenter.usgs.gov/
We combined geophysical, geochemical, mineralogical, and geological data to evaluate the regional presence of rare earth element (REE)−bearing minerals in heavy mineral sand deposits of the southeastern U.S. Coastal Plain. We also analyzed regional differences in these data to determine probable sedimentary provenance. Analyses of heavy mineral separates covering the region show strong correlations between thorium, monazite, and xenotime, suggesting that radiometric equivalent thorium (eTh) can be used as a geophysical proxy for those REE-bearing minerals. Airborne radiometric data collected during the National Uranium Resource Evaluation (NURE) program cover the southeastern United States with line spacing varying from ∼2 to 10 km. These data show eTh highs over Cretaceous and Tertiary Coastal Plain sediments from the Cape Fear arch in North Carolina to eastern Alabama; these highs decrease with distance from the Piedmont. Quaternary sediments along the modern coasts show weaker eTh anomalies, except near coast-parallel ridges from South Carolina to northern Florida. Prominent eTh anomalies are also observed over large riverbeds and their floodplains, even north of the Cape Fear arch where surrounding areas are relatively low. These variations were verified using ground geophysical measurements and sample analyses, indicating that radiometric methods are a useful exploration tool at varying scales. Further analyses of heavy mineral separates showed regional differences, not only in concentrations of monazite, but also of rutile and staurolite, and in magnetic susceptibility. The combined properties suggest the presence of subregions where heavy mineral sediments are primarily sourced from high-grade metamorphic, low-grade metamorphic, or igneous terrains, or where they represent a mixing of these sources. Comparisons between interpreted sources of heavy mineral sands near the Fall Line and igneous and metamorphic Piedmont and Blue Ridge units showed a strong correspondence with rocks closest to the Fall Line and poor correspondence with rocks farther inland. This strongly suggests that the primary source of those heavy minerals, especially monazite, is the rocks that formed the rocky coast that was present during opening of the Atlantic Ocean, which in turn indicates the importance of coastal processes in forming heavy mineral sand concentrations. Furthermore, narrow radiometric eTh and K anomalies are associated with major rivers, indicating limited spatial influence of fluvial processes. Later coastal plain sediment deposition appears to have involved reworking of sediments, providing an “inheritance” of the rocky coast composition that persists for some distance from the Fall Line. However, this inheritance is reduced with distance, and sediments within ∼100 km of the coast in Georgia and Florida exhibit properties indicative of mixing from multiple sources.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31481.1","usgsCitation":"Shah, A.K., Bern, C.R., Van Gosen, B.S., Daniels, D.L., Benzel, W., Budahn, J.R., Ellefsen, K.J., Karst, A.T., and Davis, R., 2017, Rare earth mineral potential in the southeastern U.S. Coastal Plain from integrated geophysical, geochemical, and geological approaches: GSA Bulletin, v. 129, no. 9-10, p. 1140-1157, https://doi.org/10.1130/B31481.1.","productDescription":"18 p.","startPage":"1140","endPage":"1157","ipdsId":"IP-066088","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343178,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357278,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70189106/70189106.pdf","text":"USGS open-access version of 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cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":166816,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":702899,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":702901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daniels, David L. 0000-0003-0599-8036 dave@usgs.gov","orcid":"https://orcid.org/0000-0003-0599-8036","contributorId":1792,"corporation":false,"usgs":true,"family":"Daniels","given":"David","email":"dave@usgs.gov","middleInitial":"L.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":702905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":702906,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Budahn, James R. 0000-0001-9794-8882 jbudahn@usgs.gov","orcid":"https://orcid.org/0000-0001-9794-8882","contributorId":1175,"corporation":false,"usgs":true,"family":"Budahn","given":"James","email":"jbudahn@usgs.gov","middleInitial":"R.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":702907,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ellefsen, Karl J. 0000-0003-3075-4703 ellefsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3075-4703","contributorId":789,"corporation":false,"usgs":true,"family":"Ellefsen","given":"Karl","email":"ellefsen@usgs.gov","middleInitial":"J.","affiliations":[{"id":82803,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":false}],"preferred":true,"id":702900,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karst, Adam T.","contributorId":194018,"corporation":false,"usgs":false,"family":"Karst","given":"Adam","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":702903,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Davis, Richard","contributorId":194019,"corporation":false,"usgs":false,"family":"Davis","given":"Richard","email":"","affiliations":[],"preferred":false,"id":702904,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70189008,"text":"70189008 - 2017 - On the probability distribution of daily streamflow in the United States","interactions":[],"lastModifiedDate":"2018-04-03T11:40:55","indexId":"70189008","displayToPublicDate":"2017-06-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"On the probability distribution of daily streamflow in the United States","docAbstract":"Daily streamflows are often represented by flow duration curves (FDCs), which illustrate the frequency with which flows are equaled or exceeded. FDCs have had broad applications across both operational and research hydrology for decades; however, modeling FDCs has proven elusive. Daily streamflow is a complex time series with flow values ranging over many orders of magnitude. The identification of a probability distribution that can approximate daily streamflow would improve understanding of the behavior of daily flows and the ability to estimate FDCs at ungaged river locations. Comparisons of modeled and empirical FDCs at nearly 400 unregulated, perennial streams illustrate that the four-parameter kappa distribution provides a very good representation of daily streamflow across the majority of physiographic regions in the conterminous United States (US). Further, for some regions of the US, the three-parameter generalized Pareto and lognormal distributions also provide a good approximation to FDCs. Similar results are found for the period of record FDCs, representing the long-term hydrologic regime at a site, and median annual FDCs, representing the behavior of flows in a typical year.","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-21-3093-2017","usgsCitation":"Blum, A., Archfield, S.A., and Vogel, R.M., 2017, On the probability distribution of daily streamflow in the United States: Hydrology and Earth System Sciences, v. 21, no. 6, p. 3093-3103, https://doi.org/10.5194/hess-21-3093-2017.","productDescription":"11 p. ","startPage":"3093","endPage":"3103","ipdsId":"IP-079109","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":461483,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-21-3093-2017","text":"Publisher Index Page"},{"id":343117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}\n","volume":"21","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-28","publicationStatus":"PW","scienceBaseUri":"595611b0e4b0d1f9f0506742","contributors":{"authors":[{"text":"Blum, Annalise G.","contributorId":193846,"corporation":false,"usgs":false,"family":"Blum","given":"Annalise G.","affiliations":[],"preferred":false,"id":702403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":702402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vogel, Richard 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Because seismic velocity is sensitive to the pressurization state of the system, this method is an exciting new monitoring tool at active volcanoes. Despite the potential of this tool, no studies have yet comprehensively compared velocity to other geophysical observables on a short-term time scale at a volcano over a significant length of time. We use volcanic tremor (~0.3 to 1.0 Hz) at Kīlauea as a passive source for interferometry to measure relative velocity changes with time. By cross-correlating the vertical component of day-long seismic records between ~230 station pairs, we extract coherent and temporally consistent coda wave signals with time lags of up to 120 s. Our resulting time series of relative velocity shows a remarkable correlation between relative velocity and the radial tilt record measured at Kīlauea summit, consistently correlating on a time scale of days to weeks for almost the entire study period (June 2011 to November 2015). As the summit continually deforms in deflation-inflation events, the velocity decreases and increases, respectively. Modeling of strain at Kīlauea suggests that, during inflation of the shallow magma reservoir (1 to 2 km below the surface), most of the edifice is dominated by compression—hence closing cracks and producing faster velocities—and vice versa. The excellent correlation between relative velocity and deformation in this study provides an opportunity to understand better the mechanisms causing seismic velocity changes at volcanoes, and therefore realize the potential of passive interferometry as a monitoring tool.
","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.1700219","usgsCitation":"Donaldson, C., Caudron, C., Green, R.G., Thelen, W., and White, R.S., 2017, Relative seismic velocity variations correlate with deformation at Kilauea volcano: Science Advances, v. 3, no. 6, e1700219, 11 p., https://doi.org/10.1126/sciadv.1700219.","productDescription":"e1700219, 11 p.","ipdsId":"IP-083447","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469731,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.1700219","text":"Publisher Index Page"},{"id":463355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.325723708716,\n 19.49947196116156\n ],\n [\n -155.325723708716,\n 19.284036313524524\n ],\n [\n -155.0991657820145,\n 19.284036313524524\n ],\n [\n -155.0991657820145,\n 19.49947196116156\n ],\n [\n -155.325723708716,\n 19.49947196116156\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Donaldson, Clare","contributorId":345696,"corporation":false,"usgs":false,"family":"Donaldson","given":"Clare","email":"","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":917281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caudron, Corentin 0000-0002-3748-0007","orcid":"https://orcid.org/0000-0002-3748-0007","contributorId":224799,"corporation":false,"usgs":false,"family":"Caudron","given":"Corentin","email":"","affiliations":[{"id":40942,"text":"Université Grenoble Alpes, Université Savoie, ISTerre, Grenoble, France","active":true,"usgs":false}],"preferred":false,"id":917282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Robert G.","contributorId":345697,"corporation":false,"usgs":false,"family":"Green","given":"Robert","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":917283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thelen, Weston 0000-0003-2534-5577","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":215530,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Robert S","contributorId":345698,"corporation":false,"usgs":false,"family":"White","given":"Robert","email":"","middleInitial":"S","affiliations":[],"preferred":false,"id":917285,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70226987,"text":"70226987 - 2017 - New methodology for computing tsunami generation by subaerial landslides: Application to the 2015 Tyndall Glacier landslide, Alaska","interactions":[],"lastModifiedDate":"2021-12-23T15:34:12.285722","indexId":"70226987","displayToPublicDate":"2017-06-28T09:27:47","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"New methodology for computing tsunami generation by subaerial landslides: Application to the 2015 Tyndall Glacier landslide, Alaska","docAbstract":"Landslide-generated tsunamis pose significant hazards and involve complex, multiphase physics that are challenging to model. We present a new methodology in which our depth-averaged two-phase model D-Claw is used to seamlessly simulate all stages of landslide dynamics as well as tsunami generation, propagation, and inundation. Because the model describes the evolution of solid and fluid volume fractions, it treats both landslides and tsunamis as special cases of a more general class of phenomena. Therefore, the landslide and tsunami can be efficiently simulated as a single-layer continuum with evolving solid-grain concentrations, and with wave generation via direct longitudinal momentum transfer—a dominant physical mechanism that has not been previously addressed in this manner. To test our methodology, we used D-Claw to model a large subaerial landslide and resulting tsunami that occurred on 17 October 2015, in Taan Fjord near the terminus of Tyndall Glacier, Alaska. Modeled shoreline inundation patterns compare well with those observed in satellite imagery.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL074341","usgsCitation":"George, D.L., Iverson, R.M., and Cannon, C.M., 2017, New methodology for computing tsunami generation by subaerial landslides: Application to the 2015 Tyndall Glacier landslide, Alaska: Geophysical Research Letters, v. 44, no. 14, p. 7276-7284, https://doi.org/10.1002/2017GL074341.","productDescription":"9 p.","startPage":"7276","endPage":"7284","ipdsId":"IP-079249","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":393361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Tyndall Glacier landslide","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -141.21963500976562,\n 60.1524422143808\n ],\n [\n -141.1372375488281,\n 60.1524422143808\n ],\n [\n -141.1372375488281,\n 60.18796390589544\n ],\n [\n -141.21963500976562,\n 60.18796390589544\n ],\n [\n -141.21963500976562,\n 60.1524422143808\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"14","noUsgsAuthors":false,"publicationDate":"2017-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":829095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":829096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cannon, Charles M. 0000-0003-4136-2350 ccannon@usgs.gov","orcid":"https://orcid.org/0000-0003-4136-2350","contributorId":247680,"corporation":false,"usgs":true,"family":"Cannon","given":"Charles","email":"ccannon@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":829097,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187880,"text":"70187880 - 2017 - A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA","interactions":[],"lastModifiedDate":"2018-03-15T10:26:15","indexId":"70187880","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA","docAbstract":"Intense demand for water in the Central Valley of California and related increases in groundwater nitrate concentration threaten the sustainability of the groundwater resource. To assess contamination risk in the region, we developed a hybrid, non-linear, machine learning model within a statistical learning framework to predict nitrate contamination of groundwater to depths of approximately 500 m below ground surface. A database of 145 predictor variables representing well characteristics, historical and current field and landscape-scale nitrogen mass balances, historical and current land use, oxidation/reduction conditions, groundwater flow, climate, soil characteristics, depth to groundwater, and groundwater age were assigned to over 6000 private supply and public supply wells measured previously for nitrate and located throughout the study area. The boosted regression tree (BRT) method was used to screen and rank variables to predict nitrate concentration at the depths of domestic and public well supplies. The novel approach included as predictor variables outputs from existing physically based models of the Central Valley. The top five most important predictor variables included two oxidation/reduction variables (probability of manganese concentration to exceed 50 ppb and probability of dissolved oxygen concentration to be below 0.5 ppm), field-scale adjusted unsaturated zone nitrogen input for the 1975 time period, average difference between precipitation and evapotranspiration during the years 1971–2000, and 1992 total landscape nitrogen input. Twenty-five variables were selected for the final model for log-transformed nitrate. In general, increasing probability of anoxic conditions and increasing precipitation relative to potential evapotranspiration had a corresponding decrease in nitrate concentration predictions. Conversely, increasing 1975 unsaturated zone nitrogen leaching flux and 1992 total landscape nitrogen input had an increasing relative impact on nitrate predictions. Three-dimensional visualization indicates that nitrate predictions depend on the probability of anoxic conditions and other factors, and that nitrate predictions generally decreased with increasing groundwater age.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.05.192","usgsCitation":"Ransom, K.M., Nolan, B.T., Traum, J.A., Faunt, C., Bell, A.M., Gronberg, J.A., Wheeler, D.C., Zamora, C., Jurgens, B.C., Schwarz, G., Belitz, K., Eberts, S.M., Kourakos, G., and Harter, T., 2017, A hybrid machine learning model to predict and visualize nitrate concentration throughout the Central Valley aquifer, California, USA: Science of the Total Environment, v. 601-602, p. 1160-1172, https://doi.org/10.1016/j.scitotenv.2017.05.192.","productDescription":"13 p.","startPage":"1160","endPage":"1172","ipdsId":"IP-082440","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":461489,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2017.05.192","text":"Publisher Index Page"},{"id":438283,"rank":0,"type":{"id":30,"text":"Data 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0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":543,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":false,"id":695876,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National 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The model uses streamflow and sediment load data from nearby stream gauges to obtain an initial estimate of sediment yield for the reservoir’s watershed; it is then calibrated to the total deposition calculated from repeat bathymetric surveys. Long-term changes to reservoir trapping efficiency are also taken into account. The model was applied to the Fena Valley Reservoir, a water supply reservoir on the island of Guam. This reservoir became operational in 1951 and was recently surveyed in 2014. The model results show that the highest rate of deposition occurred during two typhoons (Typhoon Alice in 1953 and Typhoon Tingting in 2004); each storm decreased reservoir capacity by approximately 2–3% in only a few days. The presented model can be used to evaluate the impact of an extreme event, or it can be coupled with a watershed runoff model to evaluate potential impacts to storage capacity as a result of climate change or other hydrologic modifications.
","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)HY.1943-7900.0001344","usgsCitation":"Marineau, M.D., and Wright, S., 2017, Daily reservoir sedimentation model: Case study from the Fena Valley Reservoir, Guam: Journal of Hydraulic Engineering, v. 143, no. 9, Article 05017003; 11 p., https://doi.org/10.1061/(ASCE)HY.1943-7900.0001344.","productDescription":"Article 05017003; 11 p.","ipdsId":"IP-082309","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":343086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"9","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5965b1bae4b0d1f9f05b37a8","contributors":{"authors":[{"text":"Marineau, Mathieu D. 0000-0002-6568-0743 mmarineau@usgs.gov","orcid":"https://orcid.org/0000-0002-6568-0743","contributorId":4954,"corporation":false,"usgs":true,"family":"Marineau","given":"Mathieu","email":"mmarineau@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":698945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":698946,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188977,"text":"70188977 - 2017 - Assessment of phytoplankton resources suitable for bigheaded carps in Lake Michigan derived from remote sensing and bioenergetics","interactions":[],"lastModifiedDate":"2021-06-07T11:56:43.805323","indexId":"70188977","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","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":"Assessment of phytoplankton resources suitable for bigheaded carps in Lake Michigan derived from remote sensing and bioenergetics","docAbstract":"We used bioenergetic simulations combined with satellite-measured water temperature and estimates of algal food availability to predict the habitat suitability of Lake Michigan for adult silver carp (Hypophthalmichthys \r\nmolitrix) and bighead carp (H. nobilis). Depending on water temperature, we found that bigheaded carp require ambient algal concentrations between 1 and 7 μg chlorophyll/L or between 0.25 × 105 and 1.20 × 105 cells/mL \r\nMicrocystis to maintain body weight. When the bioenergetics model is forced with the observed average annual temperature cycle, our simulations predicted silver carp bioenergetics predicted annual weight change ranging \r\nfrom 9% weight loss to 23% gain; bighead carp ranged from 68 to 177% weight gain. Algal concentrations b4 μg chlorophyll/L and b200,000 cells/mL were below the detection limits of the remote sensing method. However, all areas with detectable algae have sufficient concentrations of algal foods for bigheaded carp weight-maintenance and growth. Those areas are predominately along the nearshore areas.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.03.005","usgsCitation":"Anderson, K.R., Chapman, D., Wynne, T.T., and Paukert, C.P., 2017, Assessment of phytoplankton resources suitable for bigheaded carps in Lake Michigan derived from remote sensing and bioenergetics: Journal of Great Lakes Research, v. 43, no. 3, p. 90-99, https://doi.org/10.1016/j.jglr.2017.03.005.","productDescription":"10 p.","startPage":"90","endPage":"99","ipdsId":"IP-077126","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":343065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Wisconsin","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n 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Center","active":true,"usgs":true}],"preferred":true,"id":702081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":702082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wynne, Tim T.","contributorId":193798,"corporation":false,"usgs":false,"family":"Wynne","given":"Tim","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":702083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":702084,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188361,"text":"70188361 - 2017 - Parcels versus pixels: modeling agricultural land use across broad geographic regions using parcel-based field boundaries","interactions":[],"lastModifiedDate":"2017-07-03T10:03:08","indexId":"70188361","displayToPublicDate":"2017-06-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2367,"text":"Journal of Land Use Science","active":true,"publicationSubtype":{"id":10}},"title":"Parcels versus pixels: modeling agricultural land use across broad geographic regions using parcel-based field boundaries","docAbstract":"Land use and land cover (LULC) change occurs at a local level within contiguous ownership and management units (parcels), yet LULC models primarily use pixel-based spatial frameworks. The few parcel-based models being used overwhelmingly focus on small geographic areas, limiting the ability to assess LULC change impacts at regional to national scales. We developed a modified version of the Forecasting Scenarios of land use change model to project parcel-based agricultural change across a large region in the United States Great Plains. A scenario representing an agricultural biofuel scenario was modeled from 2012 to 2030, using real parcel boundaries based on contiguous ownership and land management units. The resulting LULC projection provides a vastly improved representation of landscape pattern over existing pixel-based models, while simultaneously providing an unprecedented combination of thematic detail and broad geographic extent. The conceptual approach is practical and scalable, with potential use for national-scale projections.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/1747423X.2017.1340525","usgsCitation":"Sohl, T.L., Dornbierer, J., Wika, S., Sayler, K., and Quenzer, R., 2017, Parcels versus pixels: modeling agricultural land use across broad geographic regions using parcel-based field boundaries: Journal of Land Use Science, v. 12, no. 4, p. 197-217, https://doi.org/10.1080/1747423X.2017.1340525.","productDescription":"21 p.","startPage":"197","endPage":"217","ipdsId":"IP-074474","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":343087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-19","publicationStatus":"PW","scienceBaseUri":"595b5797e4b0d1f9f0536dad","contributors":{"authors":[{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dornbierer, Jordan 0000-0003-2099-5095 jdornbierer@usgs.gov","orcid":"https://orcid.org/0000-0003-2099-5095","contributorId":167854,"corporation":false,"usgs":true,"family":"Dornbierer","given":"Jordan","email":"jdornbierer@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":697399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wika, Steve 0000-0001-9992-8973 swika@usgs.gov","orcid":"https://orcid.org/0000-0001-9992-8973","contributorId":5656,"corporation":false,"usgs":true,"family":"Wika","given":"Steve","email":"swika@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quenzer, Robert 0000-0002-1886-374X rquenzer@usgs.gov","orcid":"https://orcid.org/0000-0002-1886-374X","contributorId":4041,"corporation":false,"usgs":true,"family":"Quenzer","given":"Robert","email":"rquenzer@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697402,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188886,"text":"70188886 - 2017 - The Neogene genus Streptochilus (Brönnimann and Resig, 1971) from the Gulf of California","interactions":[],"lastModifiedDate":"2017-06-27T09:45:28","indexId":"70188886","displayToPublicDate":"2017-06-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The Neogene genus Streptochilus (Brönnimann and Resig, 1971) from the Gulf of California","title":"The Neogene genus Streptochilus (Brönnimann and Resig, 1971) from the Gulf of California","docAbstract":"Four species of the planktonic foraminiferal genus Streptochilus from key Neogene marine localities are documented in relation to the evolution of the Gulf of California: S. globigerus, S. latus, S. macdougallae sp. nov., and S. inglei sp. nov. Planktonic foraminiferal bioevents and strontium isotopes in the Bouse, Tirabuzón, Carmen and Ojo de Buey lithostratigraphic units constrain the local distribution range between 6 and 5.3 Ma for the last three species, whereas S. globigerus appears locally at 5.5 Ma and disappears between 3.79 and 3.46 Ma in the Imperial and Trinidad Formations. The last occurrence of Streptochilus latus, and the first and last occurrences of S. globigerus in the ancient Gulf of California are correlated with bioevents calibrated in the equatorial Pacific; therefore, they can be used as reliable local biostratigraphic markers. The presence of Streptochilus in the ancient Gulf of California seems to correlate with upwelling, in a pattern similar to that observed in the modern oceans.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marmicro.2017.05.001","usgsCitation":"Miranda Martinez, A., Carreno, A., and McDougall, K., 2017, The Neogene genus Streptochilus (Brönnimann and Resig, 1971) from the Gulf of California: Marine Micropaleontology, v. 132, p. 35-52, https://doi.org/10.1016/j.marmicro.2017.05.001.","productDescription":"18 p.","startPage":"35","endPage":"52","ipdsId":"IP-071100","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342935,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Gulf of California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.5,\n 34\n ],\n [\n -111.5,\n 18\n ],\n [\n -104,\n 19.5\n ],\n [\n -113,\n 35\n ],\n [\n -119.5,\n 34\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"132","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea3e4b062508e3c7a5d","contributors":{"authors":[{"text":"Miranda Martinez, A.Y.","contributorId":193567,"corporation":false,"usgs":false,"family":"Miranda Martinez","given":"A.Y.","email":"","affiliations":[],"preferred":false,"id":700833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carreno, A.L.","contributorId":193568,"corporation":false,"usgs":false,"family":"Carreno","given":"A.L.","email":"","affiliations":[],"preferred":false,"id":700834,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDougall, Kristin 0000-0002-8788-3664","orcid":"https://orcid.org/0000-0002-8788-3664","contributorId":85610,"corporation":false,"usgs":true,"family":"McDougall","given":"Kristin","affiliations":[],"preferred":false,"id":700832,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188891,"text":"70188891 - 2017 - The contribution of lakes to global inland fisheries harvest","interactions":[],"lastModifiedDate":"2017-08-03T08:43:25","indexId":"70188891","displayToPublicDate":"2017-06-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"The contribution of lakes to global inland fisheries harvest","docAbstract":"Freshwater ecosystems provide numerous services for communities worldwide, including irrigation, hydropower, and municipal water; however, the services provided by inland fisheries – nourishment, employment, and recreational opportunities – are often comparatively undervalued. We provide an independent estimate of global lake harvest to improve biological and socioeconomic assessments of inland fisheries. On the basis of satellite-derived estimates of chlorophyll concentration from 80,012 globally distributed lakes, lake-specific fishing effort based on human population, and output from a Bayesian hierarchical model, we estimated that the global lake fishery harvest in the year 2011 was 8.4 million tons (mt). Our calculations excluded harvests from highly productive rivers, wetlands, and very small lakes; therefore, the true cumulative global fishery harvest from all freshwater sources likely exceeded 11 mt as reported by the Food and Agriculture Organization of the United Nations (FAO). This putative underestimate by the FAO could diminish the perceived importance of inland fisheries and perpetuate decisions that adversely affect these fisheries and millions of people.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1503","usgsCitation":"Deines, A.M., Bunnell, D., Rogers, M.W., Bennion, D., Woelmer, W., Sayers, M.J., Grimm, A.G., Shuchman, R.A., Raymer, Z.B., Brooks, C.N., Mychek-Londer, J.G., Taylor, W.W., and Beard, 2017, The contribution of lakes to global inland fisheries harvest: Frontiers in Ecology and the Environment, v. 15, no. 6, p. 293-298, https://doi.org/10.1002/fee.1503.","productDescription":"6 p.","startPage":"293","endPage":"298","ipdsId":"IP-073799","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":342933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-26","publicationStatus":"PW","scienceBaseUri":"59536ea3e4b062508e3c7a5b","contributors":{"authors":[{"text":"Deines, Andrew M.","contributorId":166920,"corporation":false,"usgs":false,"family":"Deines","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":700847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":169859,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":700846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":700848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennion, David 0000-0003-4927-4195 dbennion@usgs.gov","orcid":"https://orcid.org/0000-0003-4927-4195","contributorId":149533,"corporation":false,"usgs":true,"family":"Bennion","given":"David","email":"dbennion@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":700849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woelmer, Whitney 0000-0001-5147-3877 wwoelmer@usgs.gov","orcid":"https://orcid.org/0000-0001-5147-3877","contributorId":150485,"corporation":false,"usgs":true,"family":"Woelmer","given":"Whitney","email":"wwoelmer@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":700850,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sayers, Michael J.","contributorId":172893,"corporation":false,"usgs":false,"family":"Sayers","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":27113,"text":"Michigan Tech University","active":true,"usgs":false}],"preferred":false,"id":700851,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grimm, Amanda G.","contributorId":150482,"corporation":false,"usgs":false,"family":"Grimm","given":"Amanda","email":"","middleInitial":"G.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":700852,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shuchman, Robert A.","contributorId":150483,"corporation":false,"usgs":false,"family":"Shuchman","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":700853,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Raymer, Zachary B.","contributorId":193573,"corporation":false,"usgs":false,"family":"Raymer","given":"Zachary","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":700854,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brooks, Colin N. 0000-0003-4544-2569","orcid":"https://orcid.org/0000-0003-4544-2569","contributorId":193574,"corporation":false,"usgs":false,"family":"Brooks","given":"Colin","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":700855,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mychek-Londer, Justin G.","contributorId":193575,"corporation":false,"usgs":false,"family":"Mychek-Londer","given":"Justin","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":700856,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Taylor, William W.","contributorId":166927,"corporation":false,"usgs":false,"family":"Taylor","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":700857,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Beard, Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":169459,"corporation":false,"usgs":true,"family":"Beard","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":700858,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70188900,"text":"70188900 - 2017 - U-Pb ages and geochemistry of zircon from Proterozoic plutons of the Sawatch and Mosquito ranges, Colorado, U.S.A.: Implications for crustal growth of the central Colorado province","interactions":[],"lastModifiedDate":"2017-07-03T10:00:59","indexId":"70188900","displayToPublicDate":"2017-06-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3310,"text":"Rocky Mountain Geology","active":true,"publicationSubtype":{"id":10}},"title":"U-Pb ages and geochemistry of zircon from Proterozoic plutons of the Sawatch and Mosquito ranges, Colorado, U.S.A.: Implications for crustal growth of the central Colorado province","docAbstract":"A broad study of zircons from plutonic rocks of the Sawatch and Mosquito ranges of west-central Colorado (U.S.A.) was undertaken to significantly refine the magmatic chronology and chemistry of this under-studied region of the Colorado province. This region was chosen because it lies just to the north of the suspected arc-related Gunnison-Salida volcano-plutonic terrane, which has been the subject of many recent investigations—and whose origin is still debated. Our new results provide important insights into the processes active during Proterozoic crustal evolution in this region, and they have important ramifications for broader-scope crustal evolution models for southwestern North America.
Twenty-four new U-Pb ages and sequentially acquired rare-earth element (REE), U, Th, and Hf contents of zircon have been determined using the sensitive high-resolution ion microprobe-reverse geometry (SHRIMP-RG). These zircon geochemistry data, in conjunction with whole-rock major- and trace-element data, provide important insights into zircon crystallization and melt fractionation, and they help to further constrain the tectonic environment of magma generation.
Our detailed zircon and whole-rock data support the following three interpretations:
(1) The Roosevelt Granite in the southern Sawatch Range was the oldest rock dated at 1,766 ± 7 Ma, and it intruded various metavolcanic and metasedimentary rocks. Geochemistry of both whole-rock and zircon supports the contention that this granite was produced in a magmatic arc environment and, therefore, is likely an extension of the older Dubois Greenstone Belt of the Gunnison Igneous Complex (GIC) and the Needle Mountains (1,770–1,755 Ma). Rocks of the younger Cochetopa succession of the GIC, the Salida Greenstone Belt, and the Sangre de Cristo Mountains (1,740–1,725 Ma) were not found in the Sawatch and Mosquito ranges. This observation strongly suggests that the northern edge of the Gunnison-Salida arc terrane underlies the southern portion of the Sawatch and Mosquito ranges.
(2) Calc-alkalic to alkali-calcic magmas intruded this region approximately 55 m.y. after the Roosevelt Granite with emplacement of pre-deformational plutons at ca. 1,710 Ma (e.g., Henry Mountain Granite and diorite of Denny Creek), and this continued for at least 30 m.y., ending with emplacement of post-deformational plutons at ca. 1,680 Ma (e.g., Kroenke Granodiorite, granite of Fairview Peak, and syenite of Mount Yale). The timing of deformation can be constrained to sometime after intrusion of the diorite of Denny Creek and likely before the emplacement of the undeformed granite of Fairview Peak. Geochemistry of both whole-rock and zircon indicates that the older group of ca. 1,710-Ma plutons formed at shallower depths, and then they intruded the younger group of more deeply generated, commonly peraluminous and sodic plutons. Although absent in the Sawatch and Mosquito ranges, Mazatzal-age (ca. 1,680–1,620 Ma) plutonic rocks are present regionally. Inherited zircon components of Mazatzal-age were found as cores in some 1.4-Ga Sawatch and Mosquito Range zircons, indicating the likelihood of a relatively local source. These combined data suggest the possibility that all were produced within a continental-margin magmatic arc created as a result of southward-migrating (slab rollback?), north-dipping subduction to the south of the region.
(3) Widespread Mesoproterozoic plutonism—with emplacement at various depths and exhibiting bimodal geochemistry—is recognized in 16 different samples. An older group of predominantly peraluminous, yet magnesian granitoids (e.g., granodiorite of Sayers, granite of Taylor River, and the St. Kevin Granite) were emplaced between ca. 1,450 and 1,425 Ma. These geochemical parameters suggest moderate degrees of partial melting in a low-pressure environment. Three younger metaluminous, but ferroan plutons (diorite of Grottos, diorite of Mount Elbert, and granodiorite of Mount Harvard), probably represent a final magmatic pulse at ca. 1,416 Ma.
A comprehensive treatment of zircon REE and whole-rock trace-element behavior from Proterozoic rocks is scarce. Discriminant U/Yb versus Y diagrams using zircon data show that the Sawatch and Mosquito plutons are of continental origin, not oceanic. Additional bivariate diagrams incorporating cation ratio combinations of Gd, Ce, Yb, U, Th, Hf, and Eu offer refined insight into differences in fractionation trends and depth of magma generation for the various plutons. These interpretations, on the basis of zircon trace-element data, are mirrored in the whole-rock geochemistry data.
","language":"English","publisher":"GeoScienceWorld","doi":"10.24872/rmgjournal.52.1.17","usgsCitation":"Moscati, R.J., Premo, W.R., Dewitt, E., and Wooden, J.L., 2017, U-Pb ages and geochemistry of zircon from Proterozoic plutons of the Sawatch and Mosquito ranges, Colorado, U.S.A.: Implications for crustal growth of the central Colorado province: Rocky Mountain Geology, v. 52, no. 1, p. 17-106, https://doi.org/10.24872/rmgjournal.52.1.17.","productDescription":"90 p.","startPage":"17","endPage":"106","ipdsId":"IP-054984","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":342965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Mosquito Range, Sawatch Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107,\n 39.5\n ],\n [\n -107,\n 38.7\n ],\n [\n -107.8,\n 38.7\n ],\n [\n -107.8,\n 38.0\n ],\n [\n -105.8,\n 38.0\n ],\n [\n -105.8,\n 39.5\n ],\n [\n -107,\n 39.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-26","publicationStatus":"PW","scienceBaseUri":"59536ea2e4b062508e3c7a57","contributors":{"authors":[{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":700889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Premo, Wayne R. 0000-0001-9904-4801 wpremo@usgs.gov","orcid":"https://orcid.org/0000-0001-9904-4801","contributorId":1697,"corporation":false,"usgs":true,"family":"Premo","given":"Wayne","email":"wpremo@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":700890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dewitt, Ed edewitt@usgs.gov","contributorId":193586,"corporation":false,"usgs":true,"family":"Dewitt","given":"Ed","email":"edewitt@usgs.gov","affiliations":[],"preferred":true,"id":700891,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wooden, Joseph L.","contributorId":193587,"corporation":false,"usgs":false,"family":"Wooden","given":"Joseph","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":700892,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188939,"text":"70188939 - 2017 - California Spotted Owl (Strix occidentalis occidentalis) habitat use patterns in a burned landscape","interactions":[],"lastModifiedDate":"2017-06-27T16:20:16","indexId":"70188939","displayToPublicDate":"2017-06-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"displayTitle":"California Spotted Owl (Strix occidentalis occidentalis) habitat use patterns in a burned landscape","title":"California Spotted Owl (Strix occidentalis occidentalis) habitat use patterns in a burned landscape","docAbstract":"Fire is a dynamic ecosystem process of mixed-conifer forests of the Sierra Nevada, but there is limited scientific information addressing wildlife habitat use in burned landscapes. Recent studies have presented contradictory information regarding the effects of stand-replacing wildfires on Spotted Owls (Strix occidentalis) and their habitat. While fire promotes heterogeneous forest landscapes shown to be favored by owls, high severity fire may create large canopy gaps that can fragment the closed-canopy habitat preferred by Spotted Owls. We used radio-telemetry to determine whether foraging California Spotted Owls (S. o. occidentalis) in Yosemite National Park, California, USA, showed selection for particular fire severity patch types within their home ranges. Our results suggested that Spotted Owls exhibited strong habitat selection within their home ranges for locations near the roost and edge habitats, and weak selection for lower fire severity patch types. Although owls selected high contrast edges with greater relative probabilities than low contrast edges, we did not detect a statistical difference between these probabilities. Protecting forests from stand-replacing fires via mechanical thinning or prescribed fire is a priority for management agencies, and our results suggest that fires of low to moderate severity can create habitat conditions within California Spotted Owls' home ranges that are favored for foraging.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-16-184.1","usgsCitation":"Eyes, S., Roberts, S.L., and Johnson, M.D., 2017, California Spotted Owl (Strix occidentalis occidentalis) habitat use patterns in a burned landscape: The Condor, v. 119, no. 3, p. 375-388, https://doi.org/10.1650/CONDOR-16-184.1.","productDescription":"14 p.","startPage":"375","endPage":"388","ipdsId":"IP-080251","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":461495,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-16-184.1","text":"Publisher Index Page"},{"id":343040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea0e4b062508e3c7a4f","contributors":{"authors":[{"text":"Eyes, Stephanie 0000-0002-6969-9927","orcid":"https://orcid.org/0000-0002-6969-9927","contributorId":193688,"corporation":false,"usgs":false,"family":"Eyes","given":"Stephanie","email":"","affiliations":[],"preferred":false,"id":701413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, Susan L.","contributorId":85312,"corporation":false,"usgs":true,"family":"Roberts","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":701412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Matthew D. mjjohnson@usgs.gov","contributorId":193689,"corporation":false,"usgs":false,"family":"Johnson","given":"Matthew","email":"mjjohnson@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":701414,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188916,"text":"70188916 - 2017 - Essential information: Uncertainty and optimal control of Ebola outbreaks","interactions":[],"lastModifiedDate":"2017-06-27T14:56:55","indexId":"70188916","displayToPublicDate":"2017-06-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Essential information: Uncertainty and optimal control of Ebola outbreaks","docAbstract":"Early resolution of uncertainty during an epidemic outbreak can lead to rapid and efficient decision making, provided that the uncertainty affects prioritization of actions. The wide range in caseload projections for the 2014 Ebola outbreak caused great concern and debate about the utility of models. By coding and running 37 published Ebola models with five candidate interventions, we found that, despite this large variation in caseload projection, the ranking of management options was relatively consistent. Reducing funeral transmission and reducing community transmission were generally ranked as the two best options. Value of information (VoI) analyses show that caseloads could be reduced by 11% by resolving all model-specific uncertainties, with information about model structure accounting for 82% of this reduction and uncertainty about caseload only accounting for 12%. Our study shows that the uncertainty that is of most interest epidemiologically may not be the same as the uncertainty that is most relevant for management. If the goal is to improve management outcomes, then the focus of study should be to identify and resolve those uncertainties that most hinder the choice of an optimal intervention. Our study further shows that simplifying multiple alternative models into a smaller number of relevant groups (here, with shared structure) could streamline the decision-making process and may allow for a better integration of epidemiological modeling and decision making for policy.
","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1617482114","usgsCitation":"Li, S., Bjornstad, O., Ferrari, M., Mummah, R., Runge, M.C., Fonnesbeck, C.J., Tildesley, M., Probert, W., and Shea, K., 2017, Essential information: Uncertainty and optimal control of Ebola outbreaks: Proceedings of the National Academy of Sciences of the United States of America, v. 114, no. 22, p. 5659-5664, https://doi.org/10.1073/pnas.1617482114.","productDescription":"6 p.","startPage":"5659","endPage":"5664","ipdsId":"IP-082199","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":461503,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://europepmc.org/articles/PMC5465899","text":"Publisher Index Page"},{"id":343011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"22","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-15","publicationStatus":"PW","scienceBaseUri":"59536ea1e4b062508e3c7a53","contributors":{"authors":[{"text":"Li, Shou-Li","contributorId":193644,"corporation":false,"usgs":false,"family":"Li","given":"Shou-Li","email":"","affiliations":[],"preferred":false,"id":701211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bjornstad, Ottar","contributorId":193645,"corporation":false,"usgs":false,"family":"Bjornstad","given":"Ottar","affiliations":[],"preferred":false,"id":701212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrari, Matthew J.","contributorId":67082,"corporation":false,"usgs":true,"family":"Ferrari","given":"Matthew J.","affiliations":[],"preferred":false,"id":701241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mummah, Riley","contributorId":193663,"corporation":false,"usgs":false,"family":"Mummah","given":"Riley","affiliations":[],"preferred":false,"id":701242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":701243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fonnesbeck, Christopher J.","contributorId":83047,"corporation":false,"usgs":true,"family":"Fonnesbeck","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":701244,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tildesley, Michael J.","contributorId":100772,"corporation":false,"usgs":true,"family":"Tildesley","given":"Michael J.","affiliations":[],"preferred":false,"id":701245,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Probert, William J. M.","contributorId":44759,"corporation":false,"usgs":false,"family":"Probert","given":"William J. M.","affiliations":[],"preferred":false,"id":701246,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"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":701247,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70187492,"text":"sir20175034 - 2017 - Optimal hydrograph separation using a recursive digital filter constrained by chemical mass balance, with application to selected Chesapeake Bay watersheds","interactions":[],"lastModifiedDate":"2017-06-26T10:38:00","indexId":"sir20175034","displayToPublicDate":"2017-06-26T10:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5034","title":"Optimal hydrograph separation using a recursive digital filter constrained by chemical mass balance, with application to selected Chesapeake Bay watersheds","docAbstract":"Quantitative estimates of base flow are necessary to address questions concerning the vulnerability and response of the Nation’s water supply to natural and human-induced change in environmental conditions. An objective of the U.S. Geological Survey National Water-Quality Assessment Project is to determine how hydrologic systems are affected by watershed characteristics, including land use, land cover, water use, climate, and natural characteristics (geology, soil type, and topography). An important component of any hydrologic system is base flow, generally described as the part of streamflow that is sustained between precipitation events, fed to stream channels by delayed (usually subsurface) pathways, and more specifically as the volumetric discharge of water, estimated at a measurement site or gage at the watershed scale, which represents groundwater that discharges directly or indirectly to stream reaches and is then routed to the measurement point.
Hydrograph separation using a recursive digital filter was applied to 225 sites in the Chesapeake Bay watershed. The recursive digital filter was chosen for the following reasons: it is based in part on the assumption that groundwater acts as a linear reservoir, and so has a physical basis; it has only two adjustable parameters (alpha, obtained directly from recession analysis, and beta, the maximum value of the base-flow index that can be modeled by the filter), which can be determined objectively and with the same physical basis of groundwater reservoir linearity, or that can be optimized by applying a chemical-mass-balance constraint. Base-flow estimates from the recursive digital filter were compared with those from five other hydrograph-separation methods with respect to two metrics: the long-term average fraction of streamflow that is base flow, or base-flow index, and the fraction of days where streamflow is entirely base flow. There was generally good correlation between the methods, with some biased slightly high and some biased slightly low compared to the recursive digital filter. There were notable differences between the days at base flow estimated by the different methods, with the recursive digital filter having a smaller range of values. This was attributed to how the different methods determine cessation of quickflow (the part of streamflow which is not base flow).
For 109 Chesapeake Bay watershed sites with available specific conductance data, the parameters of the filter were optimized using a chemical-mass-balance constraint and two different models for the time-dependence of base-flow specific conductance. Sixty-seven models were deemed acceptable and the results compared well with non-optimized results. There are a number of limitations to the optimal hydrograph-separation approach resulting from the assumptions implicit in the conceptual model, the mathematical model, and the approach taken to impose chemical mass balance (including tracer choice). These limitations may be evidenced by poor model results; conversely, poor model fit may provide an indication that two-component separation does not adequately describe the hydrologic system’s runoff response.
The results of this study may be used to address a number of questions regarding the role of groundwater in understanding past changes in stream-water quality and forecasting possible future changes, such as the timing and magnitude of land-use and management practice effects on stream and groundwater quality. Ongoing and future modeling efforts may benefit from the estimates of base flow as calibration targets or as a means to filter chemical data to model base-flow loads and trends. Ultimately, base-flow estimation might provide the basis for future work aimed at improving the ability to quantify groundwater discharge, not only at the scale of a gaged watershed, but at the scale of individual reaches as well.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175034","isbn":"978-1-4113-4135-7","collaboration":"National Water Quality Program","usgsCitation":"Raffensperger, J.P., Baker, A.C., Blomquist, J.D., and Hopple, J.A., 2017, Optimal hydrograph separation using a recursive digital filter constrained by chemical mass balance, with application to selected Chesapeake Bay watersheds: U.S. Geological Survey Scientific Investigations Report 2017–5034, 51 p., https://doi.org/10.3133/sir20175034.","productDescription":"Report: vii, 51 p.; Data Release","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-080740","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":342818,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5034/sir20175034.pdf","text":"Report","size":"2.17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5034"},{"id":342817,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5034/coverthb.jpg"},{"id":342819,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F757194G","text":"USGS data release","description":"USGS data release","linkHelpText":"Hydrograph-separation results for 225 streams in the Chesapeake Bay watershed derived by using PART, HYSEP (Fixed, Local minimum, Slide), BFI, and a Recursive Digital Filter with streamflow data ranging from 1913 through 2016"}],"contact":"Director, MD-DE-DC Water Science Center
U.S. Geological Survey
5522 Research Park Drive
Baltimore, MD 21228
Prioritizing habitats for conservation is a challenging task, particularly for species with fluctuating populations and seasonally dynamic habitat needs. Although the use of resource selection models to identify and prioritize habitat for conservation is increasingly common, their ability to characterize important long-term habitats for dynamic populations are variable. To examine how habitats might be prioritized differently if resource selection was directly and dynamically linked with population fluctuations and movement limitations among seasonal habitats, we constructed a spatially explicit individual-based model for a dramatically fluctuating population requiring temporally varying resources. Using greater sage-grouse (Centrocercus urophasianus) in Wyoming as a case study, we used resource selection function maps to guide seasonal movement and habitat selection, but emergent population dynamics and simulated movement limitations modified long-term habitat occupancy. We compared priority habitats in RSF maps to long-term simulated habitat use. We examined the circumstances under which the explicit consideration of movement limitations, in combination with population fluctuations and trends, are likely to alter predictions of important habitats. In doing so, we assessed the future occupancy of protected areas under alternative population and habitat conditions. Habitat prioritizations based on resource selection models alone predicted high use in isolated parcels of habitat and in areas with low connectivity among seasonal habitats. In contrast, results based on more biologically-informed simulations emphasized central and connected areas near high-density populations, sometimes predicted to be low selection value. Dynamic models of habitat use can provide additional biological realism that can extend, and in some cases, contradict habitat use predictions generated from short-term or static resource selection analyses. The explicit inclusion of population dynamics and movement propensities via spatial simulation modeling frameworks may provide an informative means of predicting long-term habitat use, particularly for fluctuating populations with complex seasonal habitat needs. Importantly, our results indicate the possible need to consider habitat selection models as a starting point rather than the common end point for refining and prioritizing habitats for protection for cyclic and highly variable populations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2017.05.017","usgsCitation":"Heinrichs, J.A., Aldridge, C.L., O’Donnell, M.S., and Schumaker, N., 2017, Using dynamic population simulations to extend resource selection analyses and prioritize habitats for conservation: Ecological Modelling, v. 359, p. 449-459, https://doi.org/10.1016/j.ecolmodel.2017.05.017.","productDescription":"11 p. 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aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":701725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":140876,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":701726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schumaker, Nathan","contributorId":193743,"corporation":false,"usgs":false,"family":"Schumaker","given":"Nathan","affiliations":[],"preferred":false,"id":701727,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187789,"text":"sir20175046 - 2017 - Streamflow alteration at selected sites in Kansas","interactions":[],"lastModifiedDate":"2017-06-26T10:08:21","indexId":"sir20175046","displayToPublicDate":"2017-06-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5046","title":"Streamflow alteration at selected sites in Kansas","docAbstract":"An understanding of streamflow alteration in response to various disturbances is necessary for the effective management of stream habitat for a variety of species in Kansas. Streamflow alteration can have negative ecological effects. Using a modeling approach, streamflow alteration was assessed for 129 selected U.S. Geological Survey streamgages in the State for which requisite streamflow and basin-characteristic information was available. The assessment involved a comparison of the observed condition from 1980 to 2015 with the predicted expected (least-disturbed) condition for 29 streamflow metrics. The metrics represent various characteristics of streamflow including average flow (annual, monthly) and low and high flow (frequency, duration, magnitude).
Streamflow alteration in Kansas was indicated locally, regionally, and statewide. Given the absence of a pronounced trend in annual precipitation in Kansas, a precipitation-related explanation for streamflow alteration was not supported. Thus, the likely explanation for streamflow alteration was human activity. Locally, a flashier flow regime (typified by shorter lag times and more frequent and higher peak discharges) was indicated for three streamgages with urbanized basins that had higher percentages of impervious surfaces than other basins in the State. The combination of localized reservoir effects and regional groundwater pumping from the High Plains aquifer likely was responsible, in part, for diminished conditions indicated for multiple streamflow metrics in western and central Kansas. Statewide, the implementation of agricultural land-management practices to reduce runoff may have been responsible, in part, for a diminished duration and magnitude of high flows. In central and eastern Kansas, implemented agricultural land-management practices may have been partly responsible for an inflated magnitude of low flows at several sites.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175046","collaboration":"Prepared in cooperation with the Kansas Department of Wildlife, Parks and Tourism and the U.S. Fish and Wildlife Service","usgsCitation":"Juracek, K.E., and Eng, Ken, 2017, Streamflow alteration at selected sites in Kansas: U.S. Geological Survey Scientific Investigations Report 2017–5046, 75 p., https://doi.org/10.3133/sir20175046.","productDescription":"vii, 75 p.","onlineOnly":"Y","ipdsId":"IP-081919","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":342694,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5046/sir20175046.pdf","text":"Report","size":"17.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5046"},{"id":342693,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5046/coverthb.jpg"}],"country":"United 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\"}}]}","contact":"Director, Kansas Water Science Center
U.S. Geological Survey
4821 Quail Crest Place
Lawrence, KS 66049
Fibropapillomatosis (FP) is a tumor disease of marine turtles associated with Chelonid herpesvirus 5 (ChHV5) that has historically been refractory to growth in tissue culture. Here, we show for the first time de novo formation of ChHV5-positive intranuclear inclusions in cultured green turtle cells, which is indicative for active lytic replication of the virus. The minimal requirements to achieve lytic replication in cultured cells included 1) either in-vitro culturing of ChHV5-positive tumor biopsies (plugs) or organotypic cultures (rafts) consisting of ChHV5-positive turtle fibroblasts in collagen rafts seeded with turtle keratinocytes and 2) keratinocyte maturation induced by raising raft or biopsy cultures to the air-liquid interface. Virus growth was confirmed by detailed electron microscopic studies revealing intranuclear sun-shaped capsid factories, tubules, various stages of capsid formation, nuclear export by budding into the perinuclear space, tegumentation, and envelopment to complete de novo virus production. Membrane synthesis was also observed as a sign for active viral replication. Interestingly, cytoplasmic particles became associated with keratin filaments, a feature not seen in conventional monolayer cell cultures where most studies of herpesvirus replication have been performed. Our findings draw a rich and realistic picture of ChHV5 replication in cells derived from its natural host and may be crucial not only to better understand ChHV5 circulation but also to eventually complete Koch's postulates for FP. Moreover, the principles described here may serve as model to culture other viruses that are resistant to replication in conventional cell culture.
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\"}}]}","volume":"91","issue":"17","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59521d1de4b062508e3c3642","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":700690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dagenais, Julie 0000-0001-5560-9946 jdagenais@usgs.gov","orcid":"https://orcid.org/0000-0001-5560-9946","contributorId":5955,"corporation":false,"usgs":true,"family":"Dagenais","given":"Julie","email":"jdagenais@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":700738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weatherby, Tina","contributorId":193516,"corporation":false,"usgs":false,"family":"Weatherby","given":"Tina","affiliations":[],"preferred":false,"id":700691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balazs, George H.","contributorId":127680,"corporation":false,"usgs":false,"family":"Balazs","given":"George","email":"","middleInitial":"H.","affiliations":[{"id":7109,"text":"NOAA, National Marine Fisheries Service, Pacific Islands Fisheries Science Center, 1845 Wasp Boulevard, Building 176, Honolulu, HI 96818.","active":true,"usgs":false}],"preferred":false,"id":700692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackermann, Mathias","contributorId":127682,"corporation":false,"usgs":false,"family":"Ackermann","given":"Mathias","email":"","affiliations":[{"id":7110,"text":"Institute of Virology, University of Zurich, Switzerland.","active":true,"usgs":false}],"preferred":false,"id":700693,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188721,"text":"ofr20171080 - 2017 - Spatial and temporal distribution of bull trout (Salvelinus confluentus)-size fish near the floating surface collector in the North Fork Reservoir, Oregon, 2016","interactions":[],"lastModifiedDate":"2017-06-27T09:00:11","indexId":"ofr20171080","displayToPublicDate":"2017-06-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1080","displayTitle":"Spatial and temporal distribution of bull trout (Salvelinus confluentus)-size fish near the floating surface collector in the North Fork Reservoir, Oregon, 2016","title":"Spatial and temporal distribution of bull trout (Salvelinus confluentus)-size fish near the floating surface collector in the North Fork Reservoir, Oregon, 2016","docAbstract":"Acoustic cameras were used to assess the behavior and abundance of bull trout (Salvelinus confluentus)-size fish at the entrance to the North Fork Reservoir juvenile fish floating surface collector (FSC). The purpose of the FSC is to collect downriver migrating juvenile salmonids at the North Fork Dam, and safely route them around the hydroelectric projects. The objective of the acoustic camera component of this study was to assess the behaviors of bull trout-size fish observed near the FSC, and to determine if the presence of bull trout-size fish influenced the collection or abundance of juvenile salmonids. Acoustic cameras were deployed near the surface and floor of the entrance to the FSC. The acoustic camera technology was an informative tool for assessing abundance and spatial and temporal behaviors of bull trout-size fish near the entrance of the FSC. Bull trout-size fish were regularly observed near the entrance, with greater abundances on the deep camera than on the shallow camera. Additionally, greater abundances were observed during the hours of sunlight than were observed during the night. Behavioral differences also were observed at the two depths, with surface fish traveling faster and straighter with more directed movement, and fish observed on the deep camera generally showing more milling behavior. Modeling potential predator-prey interactions and influences using collected passive integrated transponder (PIT) -tagged juvenile salmonids proved largely unpredictable, although these fish provided relevant timing and collection information. Overall, the results indicate that bull trout-size fish are present near the entrance of the FSC, concomitant with juvenile salmonids, and their abundances and behaviors indicate that they may be drawn to the entrance of the FSC because of the abundance of prey-sized fish.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171080","collaboration":"Prepared in cooperation with Portland General Electric","usgsCitation":"Adams, N.S., and Smith, C.D., 2017, Spatial and temporal distribution of bull trout (Salvelinus confluentus)-size fish near the floating surface collector in the North Fork Reservoir, Oregon, 2016: U.S. Geological Survey Open-File Report 2017-1080, 27 p., https://doi.org/10.3133/ofr20171080.","productDescription":"vi, 27 p.","onlineOnly":"Y","ipdsId":"IP-084992","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":342923,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1080/coverthb.jpg"},{"id":342924,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1080/ofr20171080.pdf","text":"Report","size":"4.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1080"}],"country":"United States","state":"Oregon","otherGeospatial":"North Fork Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.29714393615721,\n 45.22104488768461\n ],\n [\n -122.24092483520508,\n 45.22104488768461\n ],\n [\n -122.24092483520508,\n 45.24969422012565\n ],\n [\n -122.29714393615721,\n 45.24969422012565\n ],\n [\n -122.29714393615721,\n 45.22104488768461\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115
Building on the success of 125 years of mapping, the U.S. Geological Survey created US Topo, a georeferenced digital map produced from The National Map data. US Topo maps are designed to be used like the traditional 7.5-minute quadrangle paper topographic maps for which the U.S. Geological Survey is so well known. However, in contrast to paper-based maps, US Topo maps provide modern technological advantages that support faster, wider public distribution and basic, onscreen geospatial analysis, including the georeferencing capability to display the ground coordinate location as the user moves the cursor around the map.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173045","usgsCitation":"Fishburn, K.A., and Carswell, W.J., Jr., 2017, US Topo—Topographic maps for the Nation: U.S. Geological Survey Fact Sheet 2017–3045, 2 p., https://doi.org/10.3133/fs20173045. ","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-085697","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":342742,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20173048","text":"Scanning and Georeferencing Historical USGS Quadrangles"},{"id":342740,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3045/coverthb.jpg"},{"id":342741,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3045/fs20173045.pdf","text":"Report","size":"3.21 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3045"}],"contact":"National Geospatial Program
US Topo—Maps for America
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 511
Reston, VA 20192
The Columbia River Basalt Group covers an area of more than 210,000 km2 with an estimated volume of 210,000 km3. As the youngest continental flood-basalt province on Earth (16.7–5.5 Ma), it is well preserved, with a coherent and detailed stratigraphy exposed in the deep canyonlands of eastern Oregon and southeastern Washington. The Columbia River flood-basalt province is often cited as a model for the study of similar provinces worldwide.
This field-trip guide explores the main source region of the Columbia River Basalt Group and is written for trip participants attending the 2017 International Association of Volcanology and Chemistry of the Earth’s Interior (IAVCEI) Scientific Assembly in Portland, Oregon, USA. The first part of the guide provides an overview of the geologic features common in the Columbia River flood-basalt province and the stratigraphic terminology used in the Columbia River Basalt Group. The accompanying road log examines the stratigraphic evolution, eruption history, and structure of the province through a field examination of the lavas, dikes, and pyroclastic rocks of the Columbia River Basalt Group.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175022N","usgsCitation":"Camp, V.E., Reidel, S.P., Ross, M.E., Brown, R.J., and Self, S., 2017, Field-trip guide to the vents, dikes, stratigraphy, and structure of the Columbia River Basalt Group, eastern Oregon and southeastern Washington: U.S. Geological Survey Scientific Investigations Report 2017–5022–N, 88 p., https://doi.org/10.3133/sir20175022N.","productDescription":"Report: x, 88 p.","startPage":"1","endPage":"88","numberOfPages":"104","onlineOnly":"Y","ipdsId":"IP-076082","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":342752,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5022/n/sir20175022n.pdf","text":"Report","size":"13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5022 N"},{"id":342749,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5022/n/coverthb.jpg"}],"country":" United States","state":"Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123,\n 42.5\n ],\n [\n -116.6666,\n 42.5\n ],\n [\n -116.6666,\n 47.25\n ],\n [\n -123,\n 47.25\n ],\n [\n -123,\n 42.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Volcano Science Center - Menlo Park
U.S. Geological Survey
345 Middlefield Road, MS 910
Menlo Park, CA 94025