{"pageNumber":"300","pageRowStart":"7475","pageSize":"25","recordCount":46706,"records":[{"id":70204785,"text":"70204785 - 2019 - Integrating magnetotellurics, soil gas geochemistry and structural analysis to identify hidden, high enthalpy, extensional geothermal systems","interactions":[],"lastModifiedDate":"2019-08-16T11:44:10","indexId":"70204785","displayToPublicDate":"2019-03-01T11:43:38","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Integrating magnetotellurics, soil gas geochemistry and structural analysis to identify hidden, high enthalpy, extensional geothermal systems","docAbstract":"We applied magnetotellurics (MT), diagnostic structural affiliations, soil gas flux, and fluid geochemistry to assist in identifying hidden, high-enthalpy geothermal systems in extensional regimes of the U.S. Great Basin. We are specifically looking for high-angle, low-resistivity zones and dilatant geologic structures that can carry fluids from magmatic or high-grade metamorphic conditions in the deep crust upward to exploitable depths, and to verify the nature of the deep sources through soil gas and fluid compositions. The project was motivated by prior MT transect coverage of western and central Nevada centered upon the Dixie Valley producing geothermal system where such favorable indicators were first recognized. The high-angle MT structures are taken to be fluidized fault zones connecting deep magmatic/metamorphic activity with the geothermal system, but the concept required verification by testing at other systems.\nThe project was set up with a two-phased organization. Phase I was carried out at the McGinness Hills system, central Nevada, where Ormat Inc flagship power facility is located and a considerable amount of pre-existing data were available. Resistivity models along MT transects also showed a strong low-resistivity upwelling originating from interpreted deep crustal magmatic underplating. Controlling structures on production as indicated by Ormat data and our new mapping were favorable to dilatancy, comprising an accommodation zone between major normal faults of opposing dip. A 3D MT survey and inversion confirmed the existence of the steep low-resistivity zone dipping ESE toward the deep crust and placed N-S bounds upon the feature. In cooperation with Ormat personnel, we sampled well fluids from production intervals for He isotope composition. Elevated 3He was verified through mass spectrometry analysis confirming a magmatic connection with the producing system. High CO2 soil gas flux including possibly metamorphic 13C and 14C component was measured over the area of dilatant structures. Hence, the triad of indicators posed above was confirmed in Phase I.\nSubsequently, Phase II of the project proceeded in the greenfield Kumiva-Blackrock Desert district of northwestern Nevada to see if a new system could be identified. Transect MT data also showed a low-resistivity upwelling originating from interpreted deep crustal magmatic underplating. An MT survey of 131 sites was imaged through 3D inversion using an in-house, DOE-supported finite element algorithm. Low resistivity upwellings that warranted follow up study occur under the flanks of the Seven Troughs Range, under Kumiva Playa immediately west of the Blue Wing Mountains, and under northern Granite Springs Valley. Structural assessment of the project area by Co-I J. Faulds at UNR provided numerous favorable Quaternary fault settings, which were correlated to the MT upwelling structures. Soil CO2 gas flux anomalies generally were not large but did show correlation with resistivity upwelling structure and favorable geological structures. Isotope analyses showed presence of possible inorganic/metamorphic 13C but 14C concentrations did not exceed background values.\nWe view the initial concept of a confluence of low-resistivity upwelling, favorably dilatant 3D geological structure, and elevated soil gas flux including 13C component to be supported by the further evidence of this project although the indicators in the Phase II study were more diffuse. Mass balance calculations based upon 3He R/Ra values indicates that the proportion of magmatic fluids in a producing system is fairly low, 10-15% by volume. We suggest that the diagnostic MT geophysical structures denote zones of concentrated extensional deformation that increases permeability, potentially enabling a circulating upper crustal geothermal system, while at the same time connecting telltale deep component signatures to the upper crust. The northern Granite Springs Valley structure is receiving followup stu","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, 44nd Workshop on Geothermal Reservoir Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Stanford Geothermal Conference","conferenceDate":"Feb 11-13, 2019","language":"English","publisher":"Stanford Universtiy","usgsCitation":"Philip E. Wannamaker, Faulds, J.E., B. Mack Kennedy, Maris, V., Siler, D.L., Craig Ulrich, and Moore, J., 2019, Integrating magnetotellurics, soil gas geochemistry and structural analysis to identify hidden, high enthalpy, extensional geothermal systems, <i>in</i> Proceedings, 44nd Workshop on Geothermal Reservoir Engineering, v. 44, Feb 11-13, 2019, SGP-TR-214, 19 p.","productDescription":"SGP-TR-214, 19 p.","ipdsId":"IP-104742","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":366604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366576,"type":{"id":15,"text":"Index Page"},"url":"https://pangea.stanford.edu/ERE/db/IGAstandard/record_detail.php?id=29105"}],"country":"United States","state":"Nevada","otherGeospatial":"McGinness Hills","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.39715576171875,\n              39.31942523123949\n            ],\n            [\n              -116.224365234375,\n              39.31942523123949\n            ],\n            [\n              -116.224365234375,\n              39.87601941962116\n            ],\n            [\n              -117.39715576171875,\n              39.87601941962116\n            ],\n            [\n              -117.39715576171875,\n              39.31942523123949\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Philip E. Wannamaker","contributorId":218146,"corporation":false,"usgs":false,"family":"Philip E. Wannamaker","affiliations":[{"id":39762,"text":"EGI/University of Utah","active":true,"usgs":false}],"preferred":false,"id":768472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faulds, James E","contributorId":218147,"corporation":false,"usgs":false,"family":"Faulds","given":"James","email":"","middleInitial":"E","affiliations":[{"id":39739,"text":"Nevada Bureau of Mines and Geology, University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":768473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"B. Mack Kennedy","contributorId":218148,"corporation":false,"usgs":false,"family":"B. Mack Kennedy","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":768474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maris, Virginie","contributorId":218149,"corporation":false,"usgs":false,"family":"Maris","given":"Virginie","email":"","affiliations":[{"id":39762,"text":"EGI/University of Utah","active":true,"usgs":false}],"preferred":false,"id":768475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Siler, Drew L. 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":203341,"corporation":false,"usgs":true,"family":"Siler","given":"Drew","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":768471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Craig Ulrich","contributorId":218150,"corporation":false,"usgs":false,"family":"Craig Ulrich","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":768476,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, Joseph","contributorId":218163,"corporation":false,"usgs":false,"family":"Moore","given":"Joseph","affiliations":[],"preferred":false,"id":768501,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70202437,"text":"70202437 - 2019 - Microclimate influences mangrove freeze damage: Implications for range expansion in response to changing macroclimate","interactions":[],"lastModifiedDate":"2019-06-18T10:27:40","indexId":"70202437","displayToPublicDate":"2019-03-01T10:39:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Microclimate influences mangrove freeze damage: Implications for range expansion in response to changing macroclimate","docAbstract":"<p><span>In response to warming winter air temperatures, freeze-sensitive mangrove forests are expected to expand at the expense of freeze-tolerant salt marshes. To better anticipate and prepare for mangrove range expansion, there is a need to advance understanding of the modulating role of microclimate. Here, we synthesized hypotheses regarding the effects of microclimatic variation on temperature gradients and mangrove freeze damage. Temperature data from the literature and from temperature loggers were used to quantify ecologically relevant temperature gradients. Then, literature-derived mangrove freeze damage data were used to quantify the ecological effects of these temperature gradients. Six microclimatic factors are described that produce air temperature gradients that modulate mangrove responses to winter temperature extremes: (1) distance from the ocean; (2) distance from wind buffers; (3) mangrove canopy cover; (4) height above the soil surface; (5) local slope concavity; and (6) tidal inundation. Variation in these factors produces local temperature differences that range from 2 to 14&nbsp;°C, with concomitant effects on horizontal and vertical patterns of biological damage from freezing. Collectively, our results elucidate the influence of microclimate on spatial patterns of biological damage and mortality due to winter temperature extremes. As mangrove ranges expand in response to climate change, we anticipate that microclimatic variation will produce adverse environments where mangrove expansion is prohibited as well as expansion hot spots where mangroves are protected. Subsequent expansion into newly available habitat will occur from protection zones, and microclimatic gradients may even produce positive feedback cycles that ultimately accelerate the rate of range expansion in response to warming.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-019-00533-1","usgsCitation":"Osland, M.J., Hartmann, A.M., Day, R.H., Ross, M.S., Hall, C., Feher, L.C., and Vervaeke, W., 2019, Microclimate influences mangrove freeze damage: Implications for range expansion in response to changing macroclimate: Estuaries and Coasts, v. 42, no. 4, p. 1084-1096, https://doi.org/10.1007/s12237-019-00533-1.","productDescription":"13 p.","startPage":"1084","endPage":"1096","ipdsId":"IP-098812","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437551,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YWSV4O","text":"USGS data release","linkHelpText":"Microclimate influences mangrove freeze damage: Implications for range expansion in response to changing macroclimate"},{"id":361637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":758506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartmann, Arik M.","contributorId":213401,"corporation":false,"usgs":false,"family":"Hartmann","given":"Arik","email":"","middleInitial":"M.","affiliations":[{"id":38748,"text":"Hartmann Consulting Services at the U.S. Geological Survey, Wetland and Aquatic Research Center","active":true,"usgs":false}],"preferred":false,"id":758507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":758508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ross, Michael S.","contributorId":202431,"corporation":false,"usgs":false,"family":"Ross","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":36434,"text":"Florida International University, Miami, FL","active":true,"usgs":false}],"preferred":false,"id":758509,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hall, Courtney T. 0000-0003-0990-5212","orcid":"https://orcid.org/0000-0003-0990-5212","contributorId":176330,"corporation":false,"usgs":true,"family":"Hall","given":"Courtney T.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":758510,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feher, Laura C. 0000-0002-5983-6190 lhundy@usgs.gov","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":176788,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","email":"lhundy@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":758511,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vervaeke, William 0000-0002-1518-5197 vervaekew@usgs.gov","orcid":"https://orcid.org/0000-0002-1518-5197","contributorId":3265,"corporation":false,"usgs":true,"family":"Vervaeke","given":"William","email":"vervaekew@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":758512,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70201001,"text":"70201001 - 2019 - Spatiotemporal remote sensing of ecosystem change and causation across Alaska","interactions":[],"lastModifiedDate":"2024-05-17T15:00:39.48988","indexId":"70201001","displayToPublicDate":"2019-03-01T10:33:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal remote sensing of ecosystem change and causation across Alaska","docAbstract":"<p><span>Contemporary climate change in Alaska has resulted in amplified rates of press and pulse disturbances that drive ecosystem change with significant consequences for socio‐environmental systems. Despite the vulnerability of Arctic and boreal landscapes to change, little has been done to characterize landscape change and associated drivers across northern high‐latitude ecosystems. Here we characterize the historical sensitivity of Alaska's ecosystems to environmental change and anthropogenic disturbances using expert knowledge, remote sensing data, and spatiotemporal analyses and modeling. Time‐series analysis of moderate—and high‐resolution imagery was used to characterize land‐ and water‐surface dynamics across Alaska. Some 430,000 interpretations of ecological and geomorphological change were made using historical air photos and satellite imagery, and corroborate land‐surface greening, browning, and wetness/moisture trend parameters derived from peak‐growing season Landsat imagery acquired from 1984 to 2015. The time series of change metrics, together with climatic data and maps of landscape characteristics, were incorporated into a modeling framework for mapping and understanding of drivers of change throughout Alaska. According to our analysis, approximately 13% (~174,000&nbsp;±&nbsp;8700&nbsp;km</span><sup>2</sup><span>) of Alaska has experienced directional change in the last 32&nbsp;years (±95% confidence intervals). At the ecoregions level, substantial increases in remotely sensed vegetation productivity were most pronounced in western and northern foothills of Alaska, which is explained by vegetation growth associated with increasing air temperatures. Significant browning trends were largely the result of recent wildfires in interior Alaska, but browning trends are also driven by increases in evaporative demand and surface‐water gains that have predominately occurred over warming permafrost landscapes. Increased rates of photosynthetic activity are associated with stabilization and recovery processes following wildfire, timber harvesting, insect damage, thermokarst, glacial retreat, and lake infilling and drainage events. Our results fill a critical gap in the understanding of historical and potential future trajectories of change in northern high‐latitude regions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14279","usgsCitation":"Pastick, N.J., Jorgenson, M., Goetz, S., Jones, B.M., Wylie, B.K., Minsley, B.J., Genet, H., Knight, J.F., Swanson, D.K., and Jorgenson, J.C., 2019, Spatiotemporal remote sensing of ecosystem change and causation across Alaska: Global Change Biology, v. 25, no. 3, p. 1171-1189, https://doi.org/10.1111/gcb.14279.","productDescription":"18 p.","startPage":"1171","endPage":"1189","ipdsId":"IP-096342","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":437552,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DV1J6N","text":"USGS data release","linkHelpText":"Probabilistic estimates of landscape change in Alaska (1984 to 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Torre","affiliations":[],"preferred":false,"id":751666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goetz, Scott J.","contributorId":22232,"corporation":false,"usgs":true,"family":"Goetz","given":"Scott J.","affiliations":[],"preferred":false,"id":751667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":751668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","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":751669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":751670,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Genet, Hélène","contributorId":195179,"corporation":false,"usgs":false,"family":"Genet","given":"Hélène","affiliations":[],"preferred":false,"id":751671,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Knight, Joseph F.","contributorId":55311,"corporation":false,"usgs":true,"family":"Knight","given":"Joseph","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":751672,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Swanson, David K.","contributorId":178902,"corporation":false,"usgs":false,"family":"Swanson","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":751673,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jorgenson, Janet C.","contributorId":191903,"corporation":false,"usgs":false,"family":"Jorgenson","given":"Janet","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":751674,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70202431,"text":"70202431 - 2019 - An improved mechanical owl for efficient capture of nesting raptors","interactions":[],"lastModifiedDate":"2019-03-01T10:28:12","indexId":"70202431","displayToPublicDate":"2019-03-01T10:28:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"An improved mechanical owl for efficient capture of nesting raptors","docAbstract":"<p><span>Scientific study of raptors often requires the use of a lure to capture individuals for marking or collecting various data and samples. Live lure owls in the genus&nbsp;</span><i>Bubo</i><span>&nbsp;are commonly used with mist nets or dho-gazas to trap nesting raptors, but the use of these live lures presents ethical, logistical, and financial challenges. Although owls mounted by taxidermists and mechanical owls have been used in place of a live bird, the success of these types of lures varies widely. We created a more realistic mechanical owl with a greater range of motion than previous models, and then tested the owl on six raptor species in a variety of habitats. For all but one species, capture rates using our mechanical owl were similar to or slightly higher than those reported in studies using live lure owls or previously designed mechanical owls. Time to capture of Northern Goshawks (</span><i>Accipiter gentilis</i><span>) was, on average, 8 min faster when using our mechanical owl compared to a live owl. Cost analysis revealed that both the initial expense and long-term maintenance of a mechanical owl were less than that of a live lure owl. Mechanical owls can be a useful tool for capturing raptors. Although there are some drawbacks to using a mechanical owl, our results suggest that mechanical birds are comparable to live lure owls and we believe the benefits of using a mechanical owl often outweigh the costs.</span></p>","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-18-30","usgsCitation":"Jensen, M.K., Hamburg, S.D., Rota, C.T., Brinker, D.F., Coles, D.L., Manske, M.A., Slabe, V.A., Stuber, M.J., Welsh, A.B., and Katzner, T., 2019, An improved mechanical owl for efficient capture of nesting raptors: Journal of Raptor Research, v. 53, no. 1, p. 14-25, https://doi.org/10.3356/JRR-18-30.","productDescription":"12 p.","startPage":"14","endPage":"25","ipdsId":"IP-096341","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":467858,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-18-30","text":"Publisher Index Page"},{"id":361634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jensen, Meghan K.","contributorId":213759,"corporation":false,"usgs":false,"family":"Jensen","given":"Meghan","email":"","middleInitial":"K.","affiliations":[{"id":38849,"text":"West VA University","active":true,"usgs":false}],"preferred":false,"id":758426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamburg, Shanti D.","contributorId":213760,"corporation":false,"usgs":false,"family":"Hamburg","given":"Shanti","email":"","middleInitial":"D.","affiliations":[{"id":38849,"text":"West VA University","active":true,"usgs":false}],"preferred":false,"id":758427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rota, Christopher T.","contributorId":213761,"corporation":false,"usgs":false,"family":"Rota","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":38849,"text":"West VA University","active":true,"usgs":false}],"preferred":false,"id":758428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brinker, David F.","contributorId":207103,"corporation":false,"usgs":false,"family":"Brinker","given":"David","email":"","middleInitial":"F.","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":758429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coles, Dustin L.","contributorId":213762,"corporation":false,"usgs":false,"family":"Coles","given":"Dustin","email":"","middleInitial":"L.","affiliations":[{"id":38849,"text":"West VA University","active":true,"usgs":false}],"preferred":false,"id":758430,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Manske, Mark A.","contributorId":213763,"corporation":false,"usgs":false,"family":"Manske","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":38850,"text":"Paul Smiths College","active":true,"usgs":false}],"preferred":false,"id":758431,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Slabe, Vincent A.","contributorId":213764,"corporation":false,"usgs":false,"family":"Slabe","given":"Vincent","email":"","middleInitial":"A.","affiliations":[{"id":38849,"text":"West VA University","active":true,"usgs":false}],"preferred":false,"id":758432,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stuber, Matthew J.","contributorId":213765,"corporation":false,"usgs":false,"family":"Stuber","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":758433,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Welsh, Amy B.","contributorId":192239,"corporation":false,"usgs":false,"family":"Welsh","given":"Amy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":758434,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":758425,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70250106,"text":"70250106 - 2019 - Genetic  and morphological differences between water chestnut (Myrtales: Lythraceae: Trapa) populations in the northeastern United States, Japan, and South Africa","interactions":[],"lastModifiedDate":"2023-11-20T16:36:49.182804","indexId":"70250106","displayToPublicDate":"2019-03-01T10:27:09","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":91,"text":"Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"ERDC/EL TR-19-3","displayTitle":"Genetic  and morphological differences between water chestnut (Myrtales: Lythraceae: <i>Trapa</i>) populations in the northeastern United States, Japan, and South Africa","title":"Genetic  and morphological differences between water chestnut (Myrtales: Lythraceae: Trapa) populations in the northeastern United States, Japan, and South Africa","docAbstract":"This Special Report (SR) outlines preliminary work conducted under the Aquatic Plant Control Research Program (APCRP) to investigate genetic and morphological differences of Trapa taxa (water chestnut) in the Northeastern (NE) US.  Comparisons of morphological characteristics and genetics were made between Trapa populations from the native region of Eurasia and Africa versus the NE US.  Unpublished data suggests a new introduction of Trapa (herein referred to as Trapa sp.) has occurred in the Commonwealth of Virginia, US with unknown biology and life history.  Observations of morphological and phenological characteristics of this potential new taxon of Trapa differ from those typically found with naturalized Trapa natans reported in the NE US.  A better understanding of the biology and ecology of Trapa sp. is warranted to identify control strategies that would benefit water resource managers tasked with management of water chestnut.","language":"English","publisher":"U.S. Army Corps of Engineers","usgsCitation":"Dodd, L.L., Rybicki, N.B., Thum, R., Kadono, Y., and Ingram, K.S., 2019, Genetic  and morphological differences between water chestnut (Myrtales: Lythraceae: Trapa) populations in the northeastern United States, Japan, and South Africa: Technical Report ERDC/EL TR-19-3, vii, 36 p.","productDescription":"vii, 36 p.","ipdsId":"IP-089017","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":422733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":422715,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://apps.dtic.mil/sti/citations/AD1070329","linkFileType":{"id":5,"text":"html"}}],"country":"Japan, South Africa, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.62089570792712,\n              44.171243851906866\n            ],\n            [\n              -79.62089570792712,\n              36.680307489374314\n            ],\n            [\n              -76.73273032527511,\n              36.38128680032565\n            ],\n            [\n              -74.63571312075906,\n              38.14249864798751\n            ],\n            [\n              -72.24435294806024,\n              44.89716089495792\n            ],\n            [\n              -79.62089570792712,\n              44.171243851906866\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              132.03867276862462,\n              35.64102455015066\n            ],\n            [\n              132.92461937868143,\n              33.001746575754\n            ],\n            [\n              138.6198528234483,\n              34.57872581660037\n            ],\n            [\n              141.0345151944726,\n              37.94043116264548\n            ],\n            [\n              132.03867276862462,\n              35.64102455015066\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              30.720968748818848,\n              -28.431359205592166\n            ],\n            [\n              30.720968748818848,\n              -29.430525112691086\n            ],\n            [\n              31.302469390140345,\n              -29.421046764376126\n            ],\n            [\n              32.32378348122495,\n              -28.605125359461624\n            ],\n            [\n              32.18272265452467,\n              -28.431359205592166\n            ],\n            [\n              30.720968748818848,\n              -28.431359205592166\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dodd, Lynde L.","contributorId":331651,"corporation":false,"usgs":false,"family":"Dodd","given":"Lynde","email":"","middleInitial":"L.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":888372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rybicki, Nancy B. 0000-0002-2205-7927 nrybicki@usgs.gov","orcid":"https://orcid.org/0000-0002-2205-7927","contributorId":2142,"corporation":false,"usgs":true,"family":"Rybicki","given":"Nancy","email":"nrybicki@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":888373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thum, Ryan","contributorId":150630,"corporation":false,"usgs":false,"family":"Thum","given":"Ryan","email":"","affiliations":[{"id":18056,"text":"3. Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT 59715","active":true,"usgs":false}],"preferred":false,"id":888374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kadono, Yasuro","contributorId":204998,"corporation":false,"usgs":false,"family":"Kadono","given":"Yasuro","email":"","affiliations":[{"id":37018,"text":"University of Kobe, Japan","active":true,"usgs":false}],"preferred":false,"id":888375,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ingram, Kadiera Searfoss 0000-0001-7410-1224","orcid":"https://orcid.org/0000-0001-7410-1224","contributorId":331652,"corporation":false,"usgs":true,"family":"Ingram","given":"Kadiera","email":"","middleInitial":"Searfoss","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":888376,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70206132,"text":"70206132 - 2019 - Role of recovering river herring population on smallmouth bass diet and growth","interactions":[],"lastModifiedDate":"2019-10-30T06:31:02","indexId":"70206132","displayToPublicDate":"2019-03-01T09:06:53","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Role of recovering river herring population on smallmouth bass diet and growth","docAbstract":"Fish assemblages in Atlantic coastal rivers have undergone extensive ecological change in the last two and a half centuries due to human influence, including extirpation of many migratory fish species, such as river herring (Alosa spp.) and introduction of nonnative piscivores, notably Smallmouth Bass Micropterus dolomieu. Recently, dam removals and fish passage improvements in the Penobscot River, Maine, have allowed river herring to return to reaches of the river that have been inaccessible since the late 19th century. Alosine populations have increased and this trend is anticipated to continue. This may increase forage in the system which could potentially increase growth for Smallmouth Bass, the dominant piscivore. We examined the diet and growth of Smallmouth Bass collected from areas of the Penobscot River watershed with and without access to river herring as prey. We collected 765 Smallmouth Bass throughout 2015, examined the stomach contents of 573 individuals, and found notable differences in diet among three river reaches with common seasonal trends. Juvenile river herring composed an average of 19% (SE = ±6%) of stomach contents by mass from Smallmouth Bass collected in the freshwater tidal area but were rarely observed in the diets upstream. We used estimates from von Bertalanffy growth models to examine differences in growth among reaches and found that asymptotic length was the longest (425 mm TL) in the Tidal reach where access to river herring was unrestricted. We then used these data to predict changes to growth associated with increased access to juvenile river herring prey with bioenergetics models. Results indicated that substituting juvenile river herring for less energy-dense prey (e.g.,invertebrates) may lead to increases in seasonal growth throughout the watershed as river herring populations continue to rebound in response to dam removal. Our results provide insight into the diet and growth of Smallmouth Bass in a large New England river, and provide a foundation for future work investigating unfolding changes to these characteristics following recent dam removals.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Managing centrarchid fisheries in rivers and streams","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","isbn":"9781934874523","usgsCitation":"Watson, J.M., Coghlan, S.M., Zydlewski, J.D., Hayes, D.B., and Stich, D.S., 2019, Role of recovering river herring population on smallmouth bass diet and growth, chap. <i>of</i> Managing centrarchid fisheries in rivers and streams, 18 p.","productDescription":"18 p.","ipdsId":"IP-086810","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":368699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368671,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/afs-symposia/54087p/"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.8348388671875,\n              44.70770622183535\n            ],\n            [\n              -68.34869384765625,\n              44.70770622183535\n            ],\n            [\n              -68.34869384765625,\n              45.94160076422081\n            ],\n            [\n              -68.8348388671875,\n              45.94160076422081\n            ],\n            [\n              -68.8348388671875,\n              44.70770622183535\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Watson, Jonathan M.","contributorId":207174,"corporation":false,"usgs":false,"family":"Watson","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":773992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":169678,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":773993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":773683,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Daniel B.","contributorId":16799,"corporation":false,"usgs":true,"family":"Hayes","given":"Daniel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":773994,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stich, Daniel S.","contributorId":139212,"corporation":false,"usgs":false,"family":"Stich","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":773995,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70217591,"text":"70217591 - 2019 - Dropstones in lacustrine sediments as a record of snow avalanches - A validation of the proxy by combining satellite imagery and varve chronology at Kenai Lake (south-central Alaska)","interactions":[],"lastModifiedDate":"2023-11-03T16:44:01.386101","indexId":"70217591","displayToPublicDate":"2019-03-01T06:40:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3216,"text":"Quaternary Geochronology","active":true,"publicationSubtype":{"id":10}},"title":"Dropstones in lacustrine sediments as a record of snow avalanches - A validation of the proxy by combining satellite imagery and varve chronology at Kenai Lake (south-central Alaska)","docAbstract":"<p><span>Snow avalanches cause many fatalities every year and damage local economies worldwide. The present-day climate change affects the snowpack and, thus, the properties and frequency of snow avalanches. Reconstructing snow avalanche records can help us understand past variations in avalanche frequency and their relationship to climate change. Previous avalanche records have primarily been reconstructed using dendrochronology. Here, we investigate the potential of lake sediments to record snow avalanches by studying 27 &lt; 30-cm-long sediment cores from Kenai Lake, south-central Alaska. We use X-ray computed tomography (CT) to image post-1964 varves and to identify dropstones. We use two newly identified cryptotephras to update the existing varve chronology. Satellite imagery is used to understand the redistribution of sediments by ice floes over the lake, which helps to explain why some avalanches are not recorded. Finally, we compare the dropstone record with climate data to show that snow avalanche activity is related to high amounts of snowfall in periods of relatively warm or variable temperature conditions. We show, for the first time, a direct link between historical snow avalanches and dropstones preserved in lake sediments. Although the lacustrine varve record does not allow for the development of a complete annual reconstruction of the snow avalanche history in the Kenai Lake valley, our results suggest that it can be used for long-term decadal reconstructions of the snow-avalanche history, ideally in combination with similar records from lakes elsewhere in the region.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/quat2010011","usgsCitation":"Thys, S., Van Daele, M., Praet, N., Jensen, B.J., Van Dyck, T., Haeussler, P., Vandekerkhove, E., Cnudde, V., and De Batist, M., 2019, Dropstones in lacustrine sediments as a record of snow avalanches - A validation of the proxy by combining satellite imagery and varve chronology at Kenai Lake (south-central Alaska): Quaternary Geochronology, v. 2, no. 1, 11, 19 p., https://doi.org/10.3390/quat2010011.","productDescription":"11, 19 p.","ipdsId":"IP-105384","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":467862,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/quat2010011","text":"Publisher Index Page"},{"id":382481,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Alaska","otherGeospatial":"Kenai Lake Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -149.94810657334182,\n              60.598693150796606\n            ],\n            [\n              -149.94810657334182,\n              60.2898886223046\n            ],\n            [\n              -149.25225057578422,\n              60.2898886223046\n            ],\n            [\n              -149.25225057578422,\n              60.598693150796606\n      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Belgium","active":true,"usgs":false}],"preferred":false,"id":808752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Praet, Nore","contributorId":194083,"corporation":false,"usgs":false,"family":"Praet","given":"Nore","email":"","affiliations":[],"preferred":false,"id":808753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jensen, Britta J.L. 0000-0001-9134-7170","orcid":"https://orcid.org/0000-0001-9134-7170","contributorId":244298,"corporation":false,"usgs":false,"family":"Jensen","given":"Britta","email":"","middleInitial":"J.L.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":808754,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Dyck, Thomas","contributorId":248285,"corporation":false,"usgs":false,"family":"Van Dyck","given":"Thomas","email":"","affiliations":[{"id":27567,"text":"Ghent University","active":true,"usgs":false}],"preferred":false,"id":808755,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":808756,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vandekerkhove, Elke 0000-0002-6184-2709","orcid":"https://orcid.org/0000-0002-6184-2709","contributorId":248243,"corporation":false,"usgs":false,"family":"Vandekerkhove","given":"Elke","email":"","affiliations":[{"id":27567,"text":"Ghent University","active":true,"usgs":false}],"preferred":false,"id":808757,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cnudde, Veerle","contributorId":248286,"corporation":false,"usgs":false,"family":"Cnudde","given":"Veerle","email":"","affiliations":[{"id":27567,"text":"Ghent University","active":true,"usgs":false}],"preferred":false,"id":808758,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"De Batist, Marc 0000-0002-1625-2080","orcid":"https://orcid.org/0000-0002-1625-2080","contributorId":194089,"corporation":false,"usgs":false,"family":"De Batist","given":"Marc","email":"","affiliations":[],"preferred":false,"id":808759,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70203799,"text":"70203799 - 2019 - Lithologies, ages, and provenance of clasts in the Ordovician Fincastle Conglomerate, Botetourt County, Virginia, USA","interactions":[],"lastModifiedDate":"2019-06-13T10:59:32","indexId":"70203799","displayToPublicDate":"2019-02-28T10:28:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Lithologies, ages, and provenance of clasts in the Ordovician Fincastle Conglomerate, Botetourt County, Virginia, USA","docAbstract":"<p><span>The Fincastle Conglomerate is an Ordovician polymictic, poorly sorted, matrix- and clast-supported cobble to boulder-rich conglomerate located just north of Fincastle, Botetourt County, VA. At least nine other cobble and boulder conglomerates are located in a similar stratigraphic position from Virginia to Georgia west of the Blue Ridge structural front. All except the Fincastle are dominated (~80%) by carbonate clasts; Fincastle clasts are much more varied and siliceous and it is this clast diversity that provides increased value for provenance and related studies. We have used a multidisciplinary approach that involves conodont analysis, sandstone petrography, in-situ outcrop clast characterization, optical petrography, electron-beam petrography and chemical analysis, and X-ray diffraction to provide data on lithologies, ages, and provenance. The size, roundness, and lithology of 1,656 clasts (&gt; 1 cm) were measured in the field. Although, the clast lithology varies among the studied localities, the average lithology is sandstone and siltstone 12 %, vein quartz 17 %, limestone 31 %, low-grade quartzite/metasandstone 31 %, chert 6 %, and others 3 %. Dolomite, igneous, or high-grademetamorphic rock clastswere not identified in field study or in detailed laboratory analysis.Dolomite rhombs and authigenic albite feldsparwere observed in some limestone clasts. Quantitative petrographic data for the Fincastle sandstone clasts indicate tectonic environments from passive margin to transitional continental uplift, but the conglomeratematrixmodes have considerably less feldspar and plot in the foreland basin tectonic environment region. Proto-, para-, and euconodonts were identified from clast and matrix, but are long-ranging fauna indicating middle Cambrian toMiddle or Late Ordovician ages; color alteration index (CAI) for euconodonts varied from 3 to 3.5. The occurrence of well-rounded clasts including limestone suggests a nearby, high-energy environment, and that transport was rapid enough to preserve limestone before deposition into a foreland basin. The lack of igneous or high-grade metamorphic rocks clasts suggests that the erosional level sampled by the Fincastle Conglomerate did not include the underlying Grenville basement of igneous or high-grade metamorphic rocks.</span></p>","language":"English","publisher":"Stratigraphy","usgsCitation":"Belkin, H.E., Repetski, J.E., Dulong, F.T., and Hickling, N.L., 2019, Lithologies, ages, and provenance of clasts in the Ordovician Fincastle Conglomerate, Botetourt County, Virginia, USA: Stratigraphy, v. 15, no. 1, p. 1-20.","productDescription":"20","startPage":"1","endPage":"20","ipdsId":"IP-083505","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":364636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364635,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-336/article-2051"}],"country":"United States","state":"Virginia","county":"Botetourt County","city":"Fincastle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.88811492919922,\n              37.50284892169062\n            ],\n            [\n              -79.85455513000488,\n              37.50284892169062\n            ],\n            [\n              -79.85455513000488,\n              37.5299444060497\n            ],\n            [\n              -79.88811492919922,\n              37.5299444060497\n            ],\n            [\n              -79.88811492919922,\n              37.50284892169062\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Belkin, Harvey E. 0000-0001-7879-6529","orcid":"https://orcid.org/0000-0001-7879-6529","contributorId":190267,"corporation":false,"usgs":false,"family":"Belkin","given":"Harvey","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":764169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":764170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dulong, Frank T. 0000-0001-7388-647X fdulong@usgs.gov","orcid":"https://orcid.org/0000-0001-7388-647X","contributorId":650,"corporation":false,"usgs":true,"family":"Dulong","given":"Frank","email":"fdulong@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":764171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hickling, Nelson L.","contributorId":16456,"corporation":false,"usgs":true,"family":"Hickling","given":"Nelson","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":764172,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202412,"text":"70202412 - 2019 - The black brant population is declining based on mark recapture","interactions":[],"lastModifiedDate":"2019-03-26T16:05:32","indexId":"70202412","displayToPublicDate":"2019-02-28T09:38:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"The black brant population is declining based on mark recapture","docAbstract":"<p><span>Annual survival and recruitment in black brant (</span><i>Branta bernicla nigricans</i><span>) have declined since the 1990s, yet aerial surveys of the global population have been stable or even increasing over the past decade. We used a combination of a Lincoln estimator based on harvest information and band recoveries, and marked‐unmarked ratios in bag checks in 1 harvest area in Mexico to estimate the number of adults in the population during 1992–2015. We produced weighted means from the 2 kinds of estimates for years in which we had data for both, with weights equal to the inverse of the variance of the individual estimates. We treated the black brant population as consisting of 2 subpopulations. One population consisted of breeding black brant on the Yukon‐Kuskokwim Delta (YKD), Alaska, USA, and the other consisted of Arctic (northern Alaska, western Canada, and eastern Russia) breeders, and nonbreeders and failed breeders from the YKD that underwent molt migration to the Arctic. For the global population estimates, we assessed potential bias due to differential marking and harvest of the 2 subpopulations, which was approximately 1%, probably because band recovery rates were similar for the 2 subpopulations. Population estimates declined from 229,980 (average for 1999–2002) to 161,504 (average for 2012–2015). Population estimates based on estimated harvest were variable but more stable in the later years of the study, when larger numbers of brant hunters were included in the sample. We suggest that the combination of Lincoln estimates and bag check data provides a reasonable and cost effective approach to monitoring the population.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21620","usgsCitation":"Sedinger, J.S., Riecke, T., Leach, A.G., and Ward, D.H., 2019, The black brant population is declining based on mark recapture: Journal of Wildlife Management, v. 83, no. 3, p. 627-637, https://doi.org/10.1002/jwmg.21620.","productDescription":"11 p.","startPage":"627","endPage":"637","ipdsId":"IP-096613","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":361607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Sedinger, James S.","contributorId":213694,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":758299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riecke, Thomas V.","contributorId":171482,"corporation":false,"usgs":false,"family":"Riecke","given":"Thomas V.","affiliations":[],"preferred":false,"id":758300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leach, Alan G.","contributorId":203591,"corporation":false,"usgs":false,"family":"Leach","given":"Alan","email":"","middleInitial":"G.","affiliations":[{"id":36666,"text":"Department of Natural Resources and Environmental Science, University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":758298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":758301,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202406,"text":"70202406 - 2019 - A multidisciplinary framework to derive global river reach classifications at high spatial resolution","interactions":[],"lastModifiedDate":"2019-02-27T16:29:14","indexId":"70202406","displayToPublicDate":"2019-02-27T16:29:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"A multidisciplinary framework to derive global river reach classifications at high spatial resolution","docAbstract":"<p><span>Projected climate and environmental change are expected to increase the pressure on global freshwater resources. To prepare for and cope with the related risks, stakeholders need to devise plans for sustainable management of river systems, which in turn requires the identification of management-appropriate operational units, such as groups of rivers that share similar environmental and biological characteristics. Ideally, these units are of a manageable size, and are biotically or abiotically distinguishable across a variety of river types. Here, we aim to address this need by presenting a new global river classification framework (GloRiC) to establish a common vocabulary and standardized approach to the development of globally comprehensive and integrated river classifications that can be tailored to different goals and requirements. We define the GloRiC conceptual framework based on five categories of variables: (1) hydrology; (2) physiography and climate; (3) fluvial geomorphology; (4) water chemistry; and (5) aquatic biology. We then apply the framework using hydro-environmental attributes provided by a seamless high-resolution river reach database to create initial instances of three sub-classifications (hydrologic, physio-climatic, and geomorphic) which we ultimately combine into 127 river reach types at the global scale. These supervised classifications utilize a mix of statistical analyses and expert interpretation to identify the classifier variables, the number of classes, and their thresholds. In addition, we also present an unsupervised, multivariable k-means statistical clustering of all river reaches into 30 groups. These first-of-their-kind global river reach classifications at high spatial resolution provide baseline information for a total of 35.9 million kilometers of rivers that have been assessed in this study, and are expected to be particularly useful in remote or data-poor river basins. The GloRiC framework and associated data are primarily designed for broad and rapid applicability in assessments that require stratified analyses of river ecosystem conditions at global and regional scales; smaller-scale applications could follow the same conceptual framework yet use more detailed data sources.</span></p>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/aad8e9","usgsCitation":"Ouellet Dallaire, C., Lehner, B., Sayre, R., and Thieme, M., 2019, A multidisciplinary framework to derive global river reach classifications at high spatial resolution: Environmental Research Letters, v. 14, no. 2, p. 1-12, https://doi.org/10.1088/1748-9326/aad8e9.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-091251","costCenters":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":467864,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/aad8e9","text":"Publisher Index Page"},{"id":361601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Ouellet Dallaire, Camille","contributorId":213685,"corporation":false,"usgs":false,"family":"Ouellet Dallaire","given":"Camille","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":758282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lehner, Bernhard","contributorId":213686,"corporation":false,"usgs":false,"family":"Lehner","given":"Bernhard","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":758283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sayre, Roger 0000-0001-6703-7105 rsayre@usgs.gov","orcid":"https://orcid.org/0000-0001-6703-7105","contributorId":191629,"corporation":false,"usgs":true,"family":"Sayre","given":"Roger","email":"rsayre@usgs.gov","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":758281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thieme, Michele","contributorId":213687,"corporation":false,"usgs":false,"family":"Thieme","given":"Michele","affiliations":[{"id":37767,"text":"World Wildlife Fund","active":true,"usgs":false}],"preferred":false,"id":758284,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202401,"text":"70202401 - 2019 - A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized ecological coastal units","interactions":[],"lastModifiedDate":"2019-10-28T09:44:47","indexId":"70202401","displayToPublicDate":"2019-02-27T15:48:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5621,"text":"Journal of Operational Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized ecological coastal units","docAbstract":"<p><span>A new 30-m spatial resolution global shoreline vector (GSV) was developed from annual composites of 2014 Landsat satellite imagery. The semi-automated classification of the imagery was accomplished by manual selection of training points representing water and non-water classes along the entire global coastline. Polygon topology was applied to the GSV, resulting in a new characterisation of the number and size of global islands. Three size classes of islands were mapped: continental mainlands (5), islands greater than 1 km</span><sup>2</sup><span>&nbsp;(21,818), and islands smaller than 1 km</span><sup>2</sup><span>&nbsp;(318,868). The GSV represents the shore zone land and water interface boundary, and is a spatially explicit ecological domain separator between terrestrial and marine environments. The development and characteristics of the GSV are presented herein. An approach is also proposed for delineating standardised, high spatial resolution global ecological coastal units (ECUs). For this coastal ecosystem mapping effort, the GSV will be used to separate the nearshore coastal waters from the onshore coastal lands. The work to produce the GSV and the ECUs is commissioned by the Group on Earth Observations (GEO), and is associated with several GEO initiatives including GEO Ecosystems, GEO Marine Biodiversity Observation Network (MBON) and GEO Blue Planet.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/1755876X.2018.1529714","usgsCitation":"Sayre, R., Noble, S., Hamann, S.L., Smith, R.A., Wright, D.J., Breyer, S.P., Butler, K., Van Graafeiland, K., Frye, C., Karagulle, D., Hopkins, D., Stephens, D., Kelly, K., Basher, Z., Burton, D., Cress, J., Atkins, K., Van Sistine, D.P., Friesen, B., Allee, R., Allen, T., Aniello, P., Asaad, I., Costello, M.J., Goodin, K., Harrison, P., Kavanaugh, M.T., Lillis, H., Manca, E., Muller-Karger, F.E., Nyberg, B., Parsons, R., Saarinen, J., Steiner, J., and Reed, A., 2019, A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized ecological coastal units: Journal of Operational Oceanography, v. 12, no. suppl 2, p. s47-s56, https://doi.org/10.1080/1755876X.2018.1529714.","productDescription":"10 p.","startPage":"s47","endPage":"s56","ipdsId":"IP-097896","costCenters":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":460457,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/1755876x.2018.1529714","text":"Publisher Index Page"},{"id":437558,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91ZCSGM","text":"USGS data release","linkHelpText":"Global Islands"},{"id":361594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"suppl 2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Sayre, Roger 0000-0001-6703-7105","orcid":"https://orcid.org/0000-0001-6703-7105","contributorId":213640,"corporation":false,"usgs":true,"family":"Sayre","given":"Roger","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":758208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noble, Suzanne","contributorId":213641,"corporation":false,"usgs":false,"family":"Noble","given":"Suzanne","affiliations":[],"preferred":false,"id":758209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hamann, Sharon L. shamann@usgs.gov","contributorId":4059,"corporation":false,"usgs":true,"family":"Hamann","given":"Sharon","email":"shamann@usgs.gov","middleInitial":"L.","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":758220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Rebecca A. 0000-0002-9823-706X rsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9823-706X","contributorId":201349,"corporation":false,"usgs":true,"family":"Smith","given":"Rebecca","email":"rsmith@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":758366,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wright, Dawn J.","contributorId":191639,"corporation":false,"usgs":false,"family":"Wright","given":"Dawn","email":"","middleInitial":"J.","affiliations":[{"id":18946,"text":"Environmental Systems Research Institute, Inc. (ESRI), Redlands, CA","active":true,"usgs":false}],"preferred":false,"id":758210,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Breyer, Sean P.","contributorId":191634,"corporation":false,"usgs":false,"family":"Breyer","given":"Sean","email":"","middleInitial":"P.","affiliations":[{"id":18946,"text":"Environmental Systems Research Institute, Inc. (ESRI), Redlands, CA","active":true,"usgs":false}],"preferred":false,"id":758211,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Butler, Kevin","contributorId":200270,"corporation":false,"usgs":false,"family":"Butler","given":"Kevin","email":"","affiliations":[{"id":18946,"text":"Environmental Systems Research Institute, Inc. (ESRI), Redlands, CA","active":true,"usgs":false}],"preferred":false,"id":758212,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Van Graafeiland, Keith","contributorId":200271,"corporation":false,"usgs":false,"family":"Van Graafeiland","given":"Keith","email":"","affiliations":[{"id":18946,"text":"Environmental Systems Research Institute, Inc. (ESRI), Redlands, CA","active":true,"usgs":false}],"preferred":false,"id":758213,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Frye, Charlie","contributorId":191631,"corporation":false,"usgs":false,"family":"Frye","given":"Charlie","affiliations":[{"id":18946,"text":"Environmental Systems Research Institute, Inc. (ESRI), Redlands, CA","active":true,"usgs":false}],"preferred":false,"id":758214,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Karagulle, Deniz","contributorId":200267,"corporation":false,"usgs":false,"family":"Karagulle","given":"Deniz","affiliations":[{"id":18946,"text":"Environmental Systems Research Institute, Inc. (ESRI), Redlands, CA","active":true,"usgs":false}],"preferred":false,"id":758215,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hopkins, Dabney","contributorId":191636,"corporation":false,"usgs":false,"family":"Hopkins","given":"Dabney","email":"","affiliations":[],"preferred":false,"id":758216,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stephens, Drew","contributorId":200283,"corporation":false,"usgs":false,"family":"Stephens","given":"Drew","email":"","affiliations":[{"id":18946,"text":"Environmental Systems Research Institute, Inc. (ESRI), Redlands, CA","active":true,"usgs":false}],"preferred":false,"id":758217,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kelly, Kevin","contributorId":213642,"corporation":false,"usgs":false,"family":"Kelly","given":"Kevin","email":"","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":758218,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Basher, Zeenatul 0000-0002-6439-8324 zbasher@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-8324","contributorId":208142,"corporation":false,"usgs":false,"family":"Basher","given":"Zeenatul","email":"zbasher@usgs.gov","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":758219,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Burton, Devon","contributorId":213644,"corporation":false,"usgs":false,"family":"Burton","given":"Devon","affiliations":[],"preferred":false,"id":758221,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Cress, Jill Janene 0000-0002-3148-8374","orcid":"https://orcid.org/0000-0002-3148-8374","contributorId":213645,"corporation":false,"usgs":true,"family":"Cress","given":"Jill Janene","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":758222,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Atkins, Karina","contributorId":213646,"corporation":false,"usgs":false,"family":"Atkins","given":"Karina","email":"","affiliations":[],"preferred":false,"id":758223,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Van Sistine, D. Paco 0000-0003-1166-2547","orcid":"https://orcid.org/0000-0003-1166-2547","contributorId":213647,"corporation":false,"usgs":true,"family":"Van Sistine","given":"D.","email":"","middleInitial":"Paco","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":758224,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Friesen, Beverly","contributorId":213648,"corporation":false,"usgs":false,"family":"Friesen","given":"Beverly","affiliations":[],"preferred":false,"id":758225,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Allee, Rebecca","contributorId":213649,"corporation":false,"usgs":false,"family":"Allee","given":"Rebecca","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":758226,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Allen, Tom","contributorId":213650,"corporation":false,"usgs":false,"family":"Allen","given":"Tom","affiliations":[{"id":36518,"text":"Old Dominion University","active":true,"usgs":false}],"preferred":false,"id":758227,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Aniello, Peter","contributorId":200281,"corporation":false,"usgs":false,"family":"Aniello","given":"Peter","email":"","affiliations":[{"id":34829,"text":"Sandia National Laboratories","active":true,"usgs":false}],"preferred":false,"id":758228,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Asaad, Irawan","contributorId":213651,"corporation":false,"usgs":false,"family":"Asaad","given":"Irawan","email":"","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":758229,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Costello, Mark John","contributorId":146661,"corporation":false,"usgs":false,"family":"Costello","given":"Mark","email":"","middleInitial":"John","affiliations":[{"id":13376,"text":"The University of Auckland","active":true,"usgs":false}],"preferred":false,"id":758230,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Goodin, Kathy","contributorId":213652,"corporation":false,"usgs":false,"family":"Goodin","given":"Kathy","email":"","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":758231,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Harrison, Peter","contributorId":197607,"corporation":false,"usgs":false,"family":"Harrison","given":"Peter","affiliations":[],"preferred":false,"id":758232,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Kavanaugh, Maria T.","contributorId":200277,"corporation":false,"usgs":false,"family":"Kavanaugh","given":"Maria","email":"","middleInitial":"T.","affiliations":[{"id":13294,"text":"Woods Hole Oceanographic Institute","active":true,"usgs":false}],"preferred":false,"id":758233,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Lillis, Helen","contributorId":213653,"corporation":false,"usgs":false,"family":"Lillis","given":"Helen","email":"","affiliations":[{"id":38834,"text":"Joint Nature Conservation Committee","active":true,"usgs":false}],"preferred":false,"id":758234,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Manca, Eleonora","contributorId":213654,"corporation":false,"usgs":false,"family":"Manca","given":"Eleonora","email":"","affiliations":[{"id":38834,"text":"Joint Nature Conservation Committee","active":true,"usgs":false}],"preferred":false,"id":758235,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Muller-Karger, Frank E.","contributorId":206626,"corporation":false,"usgs":false,"family":"Muller-Karger","given":"Frank","email":"","middleInitial":"E.","affiliations":[{"id":37356,"text":"University of South Florida, Saint Petersburg, FL","active":true,"usgs":false}],"preferred":false,"id":758236,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Nyberg, Bjorn","contributorId":213655,"corporation":false,"usgs":false,"family":"Nyberg","given":"Bjorn","email":"","affiliations":[{"id":28158,"text":"University of Bergen","active":true,"usgs":false}],"preferred":false,"id":758237,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Parsons, Rost","contributorId":187703,"corporation":false,"usgs":false,"family":"Parsons","given":"Rost","email":"","affiliations":[],"preferred":false,"id":758238,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Saarinen, Justin","contributorId":198098,"corporation":false,"usgs":false,"family":"Saarinen","given":"Justin","affiliations":[],"preferred":false,"id":758240,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Steiner, Jac","contributorId":213657,"corporation":false,"usgs":false,"family":"Steiner","given":"Jac","email":"","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":758241,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Reed, Adam","contributorId":213656,"corporation":false,"usgs":false,"family":"Reed","given":"Adam","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":758239,"contributorType":{"id":1,"text":"Authors"},"rank":35}]}}
,{"id":70202392,"text":"70202392 - 2019 - Geochemically distinct oil families in the onshore and offshore Santa Maria basins, California","interactions":[],"lastModifiedDate":"2019-02-27T12:56:23","indexId":"70202392","displayToPublicDate":"2019-02-27T12:56:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Geochemically distinct oil families in the onshore and offshore Santa Maria basins, California","docAbstract":"<p><span>The purpose of this work is to identify genetic affinities among 48 crude oil samples from the onshore and offshore Santa Maria basins. A total of 21 source-related biomarker and stable carbon isotope ratios among the samples were assessed to assure that they were unaffected by secondary processes. Chemometric analysis of these data identifies six oil families with map and stratigraphic distributions that reflect organofacies variations within the Miocene Monterey Formation source rock. The data comprise a training set that was used to create a chemometric decision tree to classify newly collected oil samples. Three onshore families originated from two synclines, which may contain one or more pods of thermally mature source rock. Multiple biomarker parameters indicate that the six oil families achieved early oil window maturity in the range of 0.6%–0.7% equivalent vitrinite reflectance. The offshore oil samples consist of one family from Point Pedernales field and two families from the “B” prospect. Geochemical characteristics of these families indicate origins under differing water column and sediment oxicity and carbonate versus siliceous and detrital input in ‘carbonate,’ ‘marl,’ and ‘shale’ organofacies like those in the lower calcareous–siliceous, carbonaceous marl, and clayey–siliceous members of the Monterey Formation elsewhere in coastal California. The corresponding lithofacies and organofacies appear to be linked to the early–middle Miocene climate optimum and subsequent paleoclimatic cooling after circa 14 Ma, a systematic up-section increase in the stable carbon isotope composition of related oil samples, decreased preservation of calcium carbonate shells from planktic foraminifera and coccoliths, and increased preservation of clay-sized siliceous shells of diatoms and radiolarians. The results show that organofacies within the Monterey source rock are responsible for many of the geochemical differences between the oil families. This paleoclimate–organofacies model for crude oil from the Monterey Formation can be used to enhance future exploration efforts in many areas of coastal California.</span></p>","language":"English","publisher":"American Association of Petroleum Geology","doi":"10.1306/07111818014","usgsCitation":"Peters, K.E., Lillis, P.G., Lorenson, T., and Zumberge, J.E., 2019, Geochemically distinct oil families in the onshore and offshore Santa Maria basins, California: AAPG Bulletin, v. 103, no. 2, p. 243-271, https://doi.org/10.1306/07111818014.","productDescription":"28 p.","startPage":"243","endPage":"271","ipdsId":"IP-093274","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":361587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Maria basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121,\n              34.5\n            ],\n            [\n              -120,\n              34.5\n            ],\n            [\n              -120,\n              35.1667\n            ],\n            [\n              -121,\n              35.1667\n            ],\n            [\n              -121,\n              34.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"103","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peters, Kenneth E.","contributorId":213618,"corporation":false,"usgs":false,"family":"Peters","given":"Kenneth","email":"","middleInitial":"E.","affiliations":[{"id":27162,"text":"Schlumberger","active":true,"usgs":false}],"preferred":false,"id":758162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lillis, Paul G. 0000-0002-7508-1699 plillis@usgs.gov","orcid":"https://orcid.org/0000-0002-7508-1699","contributorId":1817,"corporation":false,"usgs":true,"family":"Lillis","given":"Paul","email":"plillis@usgs.gov","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":758163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorenson, Thomas 0000-0001-7669-2873 tlorenson@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-2873","contributorId":174599,"corporation":false,"usgs":true,"family":"Lorenson","given":"Thomas","email":"tlorenson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":758161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zumberge, J. E.","contributorId":213619,"corporation":false,"usgs":false,"family":"Zumberge","given":"J.","email":"","middleInitial":"E.","affiliations":[{"id":38822,"text":"GeoMark Research LLC","active":true,"usgs":false}],"preferred":false,"id":758164,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209686,"text":"70209686 - 2019 - Lithospheric signature of late Cenozoic extension in electrical resistivity structure of the Rio Grande rift, New Mexico, USA","interactions":[],"lastModifiedDate":"2020-04-21T16:13:12.68067","indexId":"70209686","displayToPublicDate":"2019-02-27T11:08:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Lithospheric signature of late Cenozoic extension in electrical resistivity structure of the Rio Grande rift, New Mexico, USA","docAbstract":"We present electrical resistivity models of the crust and upper mantle from two‐dimensional (2‐D) inversion of magnetotelluric (MT) data collected in the Rio Grande rift, New Mexico, USA. Previous geophysical studies of the lithosphere beneath the rift identified a low‐velocity zone several hundred kilometers wide, suggesting that the upper mantle is characterized by a very broad zone of modified lithosphere. In contrast, the surface expression of the rift (e.g., high‐angle normal faults and synrift sedimentary units) is confined to a narrow region a few tens of kilometers wide about the rift axis. MT data are uniquely suited to probing the depths of the lithosphere that fill the gap between surface geology and body wave seismic tomography, namely the middle to lower crust and uppermost mantle. We model the electrical resistivity structure of the lithosphere along two east‐west trending profiles straddling the rift axis at the latitudes of 36.2 and 32.0°N. We present results from both isotropic and anisotropic 2‐D inversions of MT data along these profiles, with a strong preference for the latter in our interpretation. A key feature of the anisotropic resistivity modeling is a broad (~200‐km wide) zone of enhanced conductivity (<20 Ωm) in the middle to lower crust imaged beneath both profiles. We attribute this lower crustal conductor to the accumulation of free saline fluids and partial melt, a direct result of magmatic activity along the rift. High‐conductivity anomalies in the midcrust and upper mantle are interpreted as fault zone alteration and partial melt, respectively.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB016242","collaboration":"","usgsCitation":"Feucht, D., Bedrosian, P.A., and Sheehan, A.F., 2019, Lithospheric signature of late Cenozoic extension in electrical resistivity structure of the Rio Grande rift, New Mexico, USA: Journal of Geophysical Research B: Solid Earth, v. 124, no. 3, p. 2331-2351, https://doi.org/10.1029/2018JB016242.","productDescription":"21 p.","startPage":"2331","endPage":"2351","ipdsId":"IP-102825","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":467866,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jb016242","text":"Publisher Index Page"},{"id":374160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Grande rift","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.02978515625,\n              37.00255267215955\n            ],\n            [\n              -109.0283203125,\n              36.98500309285596\n            ],\n            [\n              -109.05029296875,\n              31.372399104880525\n            ],\n            [\n              -108.19335937499999,\n              31.353636941500987\n            ],\n            [\n              -108.1494140625,\n              31.840232667909365\n            ],\n            [\n              -103.0078125,\n              32.045332838858506\n            ],\n            [\n              -103.02978515625,\n              37.00255267215955\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Feucht, D. W. 0000-0002-3672-4719","orcid":"https://orcid.org/0000-0002-3672-4719","contributorId":224277,"corporation":false,"usgs":false,"family":"Feucht","given":"D. W.","affiliations":[],"preferred":false,"id":787518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":787519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheehan, Anne F 0000-0002-9629-1687","orcid":"https://orcid.org/0000-0002-9629-1687","contributorId":224234,"corporation":false,"usgs":false,"family":"Sheehan","given":"Anne","email":"","middleInitial":"F","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":787520,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227711,"text":"70227711 - 2019 - Satellite-detected forest disturbance forecasts American marten population decline: The case for supportive space-based monitoring","interactions":[],"lastModifiedDate":"2022-01-27T15:55:13.344451","indexId":"70227711","displayToPublicDate":"2019-02-27T09:48:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Satellite-detected forest disturbance forecasts American marten population decline: The case for supportive space-based monitoring","docAbstract":"<p><span>Limited monitoring resources often constrain rigorous monitoring practices to species or populations of conservation concern. Insufficient monitoring can induce a tautology as lack of monitoring resources makes it difficult to determine whether a species or population deserves additional monitoring resources. When in-situ monitoring resources are limited, remote habitat monitoring could be a useful supplementary tool, as linking parameterized&nbsp;species distribution models&nbsp;to spatially explicit time-series of environmental correlates allows iterative prediction of population change. Yet the performance of predictive forecasts or hindcasts has been difficult to evaluate. We paired contemporary field data, historic population estimates, and a remotely-sensed archive of landscape change to evaluate predictions of American marten (</span><span><i><a class=\"topic-link\" title=\"Learn more about Martes americana from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/martes-americana\" data-mce-href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/martes-americana\">Martes americana</a></i></span><span>) population decline owing to habitat loss in Maine, USA. We estimated contemporary spatial patterns in marten density relative to landscape disturbance with spatial capture-recapture models. We compared current density estimates to historical density calculations to evaluate population decline, and compared historical calculations to habitat-based model predictions to evaluate the efficacy of habitat monitoring as a proxy for direct monitoring. Marten density was negatively associated with the proportion of surrounding regenerating forest, and point estimates within focal townships were 50–80% lower than historical calculations. Habitat-based hindcasts of marten density across our entire focal area interest suggested a smaller population decline (roughly 50%) within our focal area. Thus, although habitat-based predictions underpredicted marten decline, they provided correct directional inference. Habitat monitoring and predictions from species distribution models may provide useful inference about population changes given trends in habitat at limited expense when in-situ information is lacking.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.02.020","usgsCitation":"Clare, J., McKinney, S.T., Simons-Legaard, E.M., DePue, J.E., and Loftin, C., 2019, Satellite-detected forest disturbance forecasts American marten population decline: The case for supportive space-based monitoring: Biological Conservation, v. 233, p. 336-345, https://doi.org/10.1016/j.biocon.2019.02.020.","productDescription":"10 p.","startPage":"336","endPage":"345","ipdsId":"IP-078363","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":394973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.91125488281249,\n              45.286481972782816\n            ],\n            [\n              -69.136962890625,\n              44.999767019181284\n            ],\n            [\n              -68.4503173828125,\n              46.39619977845332\n            ],\n            [\n              -69.99938964843749,\n              46.717268685073954\n            ],\n            [\n              -70.91125488281249,\n              45.286481972782816\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"233","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Clare, John","contributorId":200304,"corporation":false,"usgs":false,"family":"Clare","given":"John","affiliations":[],"preferred":false,"id":831975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinney, Shawn T. smckinney@usgs.gov","contributorId":5175,"corporation":false,"usgs":true,"family":"McKinney","given":"Shawn","email":"smckinney@usgs.gov","middleInitial":"T.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":831976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simons-Legaard, Erin M.","contributorId":272366,"corporation":false,"usgs":false,"family":"Simons-Legaard","given":"Erin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":831977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DePue, John E.","contributorId":200305,"corporation":false,"usgs":false,"family":"DePue","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":831978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loftin, Cyndy 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":146427,"corporation":false,"usgs":true,"family":"Loftin","given":"Cyndy","email":"cyndy_loftin@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":831862,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202040,"text":"ofr20191008 - 2019 -  Bridge scour countermeasure assessments at select bridges in the United States, 2016–18","interactions":[],"lastModifiedDate":"2019-03-08T12:20:27","indexId":"ofr20191008","displayToPublicDate":"2019-02-27T07:11:46","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1008","displayTitle":"Bridge Scour Countermeasure Assessments at Select Bridges in the United States, 2016–18","title":" Bridge scour countermeasure assessments at select bridges in the United States, 2016–18","docAbstract":"<p class=\"p1\">In 2009, the Federal Highway Administration published Hydraulic Engineering Circular No. 23 (HEC-23) to provide specific design and implementation guidelines for bridge scour and stream instability countermeasures. However, the effectiveness of countermeasures implemented over the past decade following those guidelines has not been evaluated. Therefore, in 2013, the U.S. Geological Survey, in cooperation with the Federal Highway Administration, began a study to assess the current condition of bridge-scour countermeasures at selected sites to evaluate their effectiveness. Bridge-scour countermeasures were assessed during 2016–2018 after additional sites were added following a similar study. Site assessments included reviewing countermeasure design plans, summarizing the peak and daily streamflow history, and assessments at each site. Each site survey included a photo log summary, field form, and topographic and bathymetric geospatial data and metadata. This report documents the study area and site-selection criteria, explains the survey methods used to evaluate the condition of countermeasures, and presents the complete documentation for each countermeasure assessment.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191008","collaboration":"Prepared in cooperation with the Federal Highway Administration","usgsCitation":"Dudunake, T.J., Huizinga , R.J., and Fosness, R.L., 2019, Bridge scour countermeasure assessments at select bridges in the United States, 2016–18: U.S. Geological Survey Open-File Report 2019-1008, 12 p., https://doi.org/10.3133/ofr20191008.","productDescription":"Report: iv, 12 p.; Data release","numberOfPages":"20","onlineOnly":"Y","temporalStart":"2016-01-01","temporalEnd":"2018-12-31","ipdsId":"IP-085157","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":361447,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7WW7G4W","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Geospatial data for bridge scour countermeasure assessments at select bridges in the United States, 2016-2018"},{"id":361446,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1008/ofr20191008.pdf","text":"Report","size":"735 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1008"},{"id":361445,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1008/coverthb.jpg"}],"country":"United States","state":"Connecticut, Idaho, Iowa, Missouri, Montana, New Jersey, Pennsylvania, South Carolina","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/id-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/id-water\">Idaho Water Science Center</a><br>U.S. Geological Survey<br>230 Collins Rd<br>Boise, Idaho 83702-4520</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Scour Countermeasure Assessment Data</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-02-27","noUsgsAuthors":false,"publicationDate":"2019-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Dudunake, Taylor J. 0000-0001-7650-2419 tdudunake@usgs.gov","orcid":"https://orcid.org/0000-0001-7650-2419","contributorId":213485,"corporation":false,"usgs":true,"family":"Dudunake","given":"Taylor","email":"tdudunake@usgs.gov","middleInitial":"J.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":756800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":756802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fosness, Ryan L. 0000-0003-4089-2704 rfosness@usgs.gov","orcid":"https://orcid.org/0000-0003-4089-2704","contributorId":2703,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","email":"rfosness@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":756801,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70201152,"text":"sir20185127 - 2019 - Escherichia coli and microbial source tracking marker concentrations in and near a constructed wetland in Maumee Bay State Park, Oregon, Ohio, 2015–16","interactions":[],"lastModifiedDate":"2019-02-27T11:58:30","indexId":"sir20185127","displayToPublicDate":"2019-02-26T14:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5127","displayTitle":"<i>Escherichia coli</i> and Microbial Source Tracking Marker Concentrations in and Near a Constructed Wetland in Maumee Bay State Park, Oregon, Ohio, 2015–16","title":"Escherichia coli and microbial source tracking marker concentrations in and near a constructed wetland in Maumee Bay State Park, Oregon, Ohio, 2015–16","docAbstract":"<p>Elevated <i>Escherichia coli</i> (<i>E. coli</i>) concentrations at the Maumee Bay State Park (MBSP) Lake Erie beach have resulted in frequent recreational water-quality advisories. After the construction of a wetland along Berger Ditch in Maumee Bay State Park, Oregon, Ohio, samples were collected and analyzed for concentrations of <i>E. coli</i> and microbial source tracking (MST) markers. This study was done by the U.S. Geological Survey, in cooperation with the University of Toledo, to provide data that can be used to help evaluate the effects of the wetland on water quality in MBSP. From July 2015 to February 2016, 116 samples were collected from six sites. Median GenBac (general marker) and <i>E. coli</i> concentrations were higher in samples from Berger Ditch sites than in samples from the wetland sites. No statistically significant difference was found between median <i>E. coli</i> concentrations in samples collected at Berger Ditch sites upstream and downstream from the wetland. The frequency of detection of the human-associated <i>Bacteroides</i> MST marker (HF183) decreased from 39 percent upstream from the wetland to 22 percent downstream from the wetland; however, the HF183 median concentrations from these two groups of samples were nearly the same (2,700 to 2,800 copies per 100 milliliters from upstream to downstream). The waterfowl-associated <i>Helicobacter</i> MST marker (GFD) was detected in 13 percent of samples from the Berger Ditch site upstream from the wetland, although it was not detected in samples from the Berger Ditch site downstream from the wetland. The ruminant-associated MST marker, Rum2Bac, was not detected at any site during this study.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185127","collaboration":"Prepared in cooperation with the University of Toledo","usgsCitation":"Kephart, C.M., Brady, A.M.G., and Jackwood, R.W., 2019, Escherichia coli and microbial source tracking marker concentrations in and near a constructed wetland in Maumee Bay State Park, Oregon, Ohio, 2015–16: U.S. Geological Survey Scientific Investigations Report 2018–5127, 13 p., https://doi.org/10.3133/sir20185127.","productDescription":"v, 13 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-093044","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":361498,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5127/coverthb.jpg"},{"id":361499,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5127/sir20185127.pdf","text":"Report","size":"77.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5127"}],"country":"United States","state":"Ohio","city":"Oregon","otherGeospatial":"Lake Erie, Maumee Bay State Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.387003,41.678489 ], [ -83.387003,41.689931 ], [ -83.362584,41.689931 ], [ -83.362584,41.678489 ], [ -83.387003,41.678489 ] ] ] } } ] }","contact":"<p><a href=\"mailto:dc_oh@usgs.gov\" data-mce-href=\"mailto:dc_oh@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/oki-water\" data-mce-href=\"https://www.usgs.gov/centers/oki-water\">Ohio-Kentucky-Indiana Water Science Center</a><br>U.S. Geological Survey<br>6460 Busch Blvd, Suite 100<br>Columbus, OH 43229</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods of Study</li><li>Quality Control Measures of Variability and Bias</li><li><em>Escherichia coli</em> and Microbial Source Tracking Marker Concentrations at Selected Sites Entering Maumee Bay, Lake Erie</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Concentrations of <em>Escherichia coli</em> and microbial source tracking markers at Berger Ditch, wetland, and Maumee Bay sites, Oregon, Ohio, 2015–16</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2019-02-26","noUsgsAuthors":false,"publicationDate":"2019-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Kephart, Christopher M. 0000-0002-3369-5596 ckephart@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-5596","contributorId":1932,"corporation":false,"usgs":true,"family":"Kephart","given":"Christopher","email":"ckephart@usgs.gov","middleInitial":"M.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":752942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brady, Amie M.G. 0000-0002-7414-0992 amgbrady@usgs.gov","orcid":"https://orcid.org/0000-0002-7414-0992","contributorId":2544,"corporation":false,"usgs":true,"family":"Brady","given":"Amie","email":"amgbrady@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":752943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackwood, Ryan W. 0000-0003-4411-4643","orcid":"https://orcid.org/0000-0003-4411-4643","contributorId":210995,"corporation":false,"usgs":false,"family":"Jackwood","given":"Ryan","email":"","middleInitial":"W.","affiliations":[{"id":38164,"text":"University of Toledo PhD student","active":true,"usgs":false}],"preferred":false,"id":752944,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202367,"text":"70202367 - 2019 - Effects of life history and reproduction on recruitment time lags in reintroductions of rare plants","interactions":[],"lastModifiedDate":"2019-06-18T10:23:31","indexId":"70202367","displayToPublicDate":"2019-02-26T14:29:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of life history and reproduction on recruitment time lags in reintroductions of rare plants","docAbstract":"<p><span>Reintroductions are important components of conservation and recovery programs for rare plant species, but their long‐term success rates are poorly understood. Previous reviews of plant reintroductions focused on short‐term (e.g., ≤3 years) survival and flowering of founder individuals rather than on benchmarks of intergenerational persistence, such as seedling recruitment. However, short‐term metrics may obscure outcomes because the unique demographic properties of reintroductions, including small size and unstable stage structure, could create lags in population growth. We used time‐to‐event analysis on a database of unusually well‐monitored and long‐term (4–28 years) reintroductions of 27 rare plant species to test whether life‐history traits and population characteristics of reintroductions create time‐lagged responses in seedling recruitment (i.e., recruitment time lags [RTLs]), an important benchmark of success and indicator of persistence in reintroduced populations. Recruitment time lags were highly variable among reintroductions, ranging from &lt;1 to 17 years after installation. Recruitment patterns matched predictions from life‐history theory with short‐lived species (fast species) exhibiting consistently shorter and less variable RTLs than long‐lived species (slow species). Long RTLs occurred in long‐lived herbs, especially in grasslands, whereas short RTLs occurred in short‐lived subtropical woody plants and annual herbs. Across plant life histories, as reproductive adult abundance increased, RTLs decreased. Highly variable RTLs were observed in species with multiple reintroduction events, suggesting local processes are just as important as life‐history strategy in determining reintroduction outcomes. Time lags in restoration outcomes highlight the need to scale success benchmarks in reintroduction monitoring programs with plant life‐history strategies and the unique demographic properties of restored populations. Drawing conclusions on the long‐term success of plant reintroduction programs is premature given that demographic processes in species with slow life‐histories take decades to unfold.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13255","usgsCitation":"Albrecht, M.A., Osazuwa-Peters, O.L., Maschinski, J., Bell, T.J., Bowles, M.L., Brumback, W.E., Duquesnel, J., Kunz, M., Lange, J., McCue, K.A., McEachern, K., Murray, S., Olwell, P., Pavlovic, N.B., Peterson, C.L., Possley, J., Randall, J.L., and Wright, S.J., 2019, Effects of life history and reproduction on recruitment time lags in reintroductions of rare plants: Conservation Biology, v. 33, no. 3, p. 601-611, https://doi.org/10.1111/cobi.13255.","productDescription":"11 p.","startPage":"601","endPage":"611","ipdsId":"IP-093197","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":361556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Albrecht, Matthew A. 0000-0002-1079-1630","orcid":"https://orcid.org/0000-0002-1079-1630","contributorId":213559,"corporation":false,"usgs":false,"family":"Albrecht","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":38790,"text":"Missouri Botanical Garden","active":true,"usgs":false}],"preferred":false,"id":758026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osazuwa-Peters, Oyomoare L.","contributorId":213560,"corporation":false,"usgs":false,"family":"Osazuwa-Peters","given":"Oyomoare","email":"","middleInitial":"L.","affiliations":[{"id":38791,"text":"Missouri Botanical Garden, Washington University","active":true,"usgs":false}],"preferred":false,"id":758027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maschinski, Joyce","contributorId":213561,"corporation":false,"usgs":false,"family":"Maschinski","given":"Joyce","email":"","affiliations":[{"id":38792,"text":"San Diego Zoo Global","active":true,"usgs":false}],"preferred":false,"id":758028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bell, Timothy J.","contributorId":181524,"corporation":false,"usgs":false,"family":"Bell","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":758029,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bowles, Marlin L.","contributorId":213562,"corporation":false,"usgs":false,"family":"Bowles","given":"Marlin","email":"","middleInitial":"L.","affiliations":[{"id":37343,"text":"The Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":758030,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brumback, William E.","contributorId":213563,"corporation":false,"usgs":false,"family":"Brumback","given":"William","email":"","middleInitial":"E.","affiliations":[{"id":38793,"text":"New England Wild Flower Society","active":true,"usgs":false}],"preferred":false,"id":758031,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duquesnel, Janice","contributorId":213564,"corporation":false,"usgs":false,"family":"Duquesnel","given":"Janice","email":"","affiliations":[{"id":38794,"text":"Florida Park Service","active":true,"usgs":false}],"preferred":false,"id":758032,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kunz, Michael","contributorId":213565,"corporation":false,"usgs":false,"family":"Kunz","given":"Michael","affiliations":[{"id":38795,"text":"North Carolina Botanical Garden, The University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":758033,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lange, Jimmy","contributorId":213566,"corporation":false,"usgs":false,"family":"Lange","given":"Jimmy","email":"","affiliations":[{"id":38796,"text":"Fairchild Tropical Botanic Garden, Miami, FL","active":true,"usgs":false}],"preferred":false,"id":758034,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCue, Kimberlie A.","contributorId":213567,"corporation":false,"usgs":false,"family":"McCue","given":"Kimberlie","email":"","middleInitial":"A.","affiliations":[{"id":38797,"text":"Desert Botanical Garden, Phoenix, AZ","active":true,"usgs":false}],"preferred":false,"id":758035,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":758025,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Murray, Sheila","contributorId":213568,"corporation":false,"usgs":false,"family":"Murray","given":"Sheila","email":"","affiliations":[{"id":38798,"text":"The Arboretum at Flagstaff","active":true,"usgs":false}],"preferred":false,"id":758036,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Olwell, Peggy","contributorId":213569,"corporation":false,"usgs":false,"family":"Olwell","given":"Peggy","email":"","affiliations":[{"id":38799,"text":"Bureau of Land Management, Washington DC","active":true,"usgs":false}],"preferred":false,"id":758037,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":758038,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Peterson, Cheryl L.","contributorId":213570,"corporation":false,"usgs":false,"family":"Peterson","given":"Cheryl","email":"","middleInitial":"L.","affiliations":[{"id":38800,"text":"Bok Tower Gardens, Lake Wales, FL","active":true,"usgs":false}],"preferred":false,"id":758039,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Possley, Jennifer","contributorId":213571,"corporation":false,"usgs":false,"family":"Possley","given":"Jennifer","email":"","affiliations":[{"id":38796,"text":"Fairchild Tropical Botanic Garden, Miami, FL","active":true,"usgs":false}],"preferred":false,"id":758040,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Randall, John L.","contributorId":213572,"corporation":false,"usgs":false,"family":"Randall","given":"John","email":"","middleInitial":"L.","affiliations":[{"id":38795,"text":"North Carolina Botanical Garden, The University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":758041,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wright, Samuel J.","contributorId":213573,"corporation":false,"usgs":false,"family":"Wright","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":38796,"text":"Fairchild Tropical Botanic Garden, Miami, FL","active":true,"usgs":false}],"preferred":false,"id":758042,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70202363,"text":"70202363 - 2019 - Landsat: The cornerstone of global land imaging","interactions":[],"lastModifiedDate":"2019-02-26T14:23:49","indexId":"70202363","displayToPublicDate":"2019-02-26T14:23:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1720,"text":"GIM International","active":true,"publicationSubtype":{"id":10}},"title":"Landsat: The cornerstone of global land imaging","docAbstract":"Since 1972, the joint NASA/ U.S. Geological Survey Landsat series of Earth Observation satellites have provided an uninterrupted space-based data record of the Earth’s land surface to help advance scientific research towards the understanding of our planet and the environmental impact of its inhabitants. Early Landsat satellites offered a wealth of new data that improved mapping of remote areas and geologic features along with digital analysis of vegetation. The utility of Landsat’s spatial and spectral resolution has advanced its use for applications that benefit society such as global crop forecasting, forest monitoring, water use, carbon assessments, and the base for Google Maps. Landsat’s long-term data record provides an unrivaled resource for observing land cover and land-use change over a timescale of decades. The free and open Landsat data policy in 2008 was a paradigm shift for the world. Today, due to improved analytical and computing capabilities, the Landsat archive is poised to shift into a more real-time monitoring and understanding of the Earth.","language":"English","publisher":"GIM International Magazine","usgsCitation":"Butcher, G., Barnes, C., and Owen, L., 2019, Landsat: The cornerstone of global land imaging: GIM International, v. January/February 2019, p. 31-35.","productDescription":"5 p.","startPage":"31","endPage":"35","ipdsId":"IP-104692","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":361528,"type":{"id":15,"text":"Index Page"},"url":"https://www.gim-international.com/magazine/january-february-2019"},{"id":361555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"January/February 2019","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Butcher, Ginger","contributorId":213551,"corporation":false,"usgs":false,"family":"Butcher","given":"Ginger","email":"","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":758010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnes, Christopher 0000-0002-4608-4364 christopher.barnes.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":198908,"corporation":false,"usgs":true,"family":"Barnes","given":"Christopher","email":"christopher.barnes.ctr@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":758009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Owen, Linda 0000-0002-1734-5406 jonescheit@usgs.gov","orcid":"https://orcid.org/0000-0002-1734-5406","contributorId":478,"corporation":false,"usgs":true,"family":"Owen","given":"Linda","email":"jonescheit@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":758011,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202378,"text":"70202378 - 2019 - Diurnal habitat selection of migrating Whooping Crane in the Great Plains","interactions":[],"lastModifiedDate":"2019-02-26T14:20:05","indexId":"70202378","displayToPublicDate":"2019-02-26T14:19:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Diurnal habitat selection of migrating Whooping Crane in the Great Plains","docAbstract":"<p><span>Available stopover habitats with quality foraging opportunities are essential for migrating waterbirds, including Whooping Crane (</span><i>Grus americana</i><span>). Several studies have evaluated habitats used by Whooping Crane for roosting throughout its migration corridor; however, habitats associated with foraging and other diurnal activities have received less attention. We used data collected from 42 Whooping Crane individuals that included 2169 diurnal use locations within 395 stopover sites evaluated during spring 2013 to fall 2015 to assess diurnal habitat selection throughout the U.S. portion of the migration corridor. We found that Whooping Crane selected wetland land-cover types (i.e., open water, riverine, and semipermanent wetlands) and lowland grasslands for diurnal activities over all other land-cover types that we evaluated, including croplands. Whooping Crane generally avoided roads, and avoidance varied based on land-cover class. There has been considerable alteration and destruction of natural wetlands and rivers that serve as roosting and foraging sites for migrating Whooping Crane. Given recent droughts and the likelihood of future landscape changes within the migration corridor, directing conservation efforts toward protecting and enhancing wetland stopover areas may prove critical for continued growth of the last remaining wild population of Whooping Crane. Future studies of this Whooping Crane population should focus on specific wetland complexes and riverine sites throughout the migration corridor to identify precise management actions that could be taken to enhance and protect these imperilled land-cover types.</span></p>","language":"English","publisher":"Avian Conservation and Ecology","doi":"10.5751/ACE-01317-140106","usgsCitation":"Baasch, D.M., Farrell, P.D., Pearse, A.T., Brandt, D.A., Caven, A.J., Harner, M.J., Wright, G.D., and Metzger, K.L., 2019, Diurnal habitat selection of migrating Whooping Crane in the Great Plains: Avian Conservation and Ecology, v. 14, no. 1, p. 1-14, https://doi.org/10.5751/ACE-01317-140106.","productDescription":"Article 6; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-099721","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467870,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-01317-140106","text":"Publisher Index Page"},{"id":361554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.5458984375,\n              29.34387539941801\n            ],\n            [\n              -94.482421875,\n              29.34387539941801\n            ],\n            [\n              -94.482421875,\n              48.980216985374994\n            ],\n            [\n              -104.5458984375,\n              48.980216985374994\n            ],\n            [\n              -104.5458984375,\n              29.34387539941801\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baasch, David M.","contributorId":147145,"corporation":false,"usgs":false,"family":"Baasch","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":16795,"text":"Headwaters Corp, Kearney, NE","active":true,"usgs":false}],"preferred":false,"id":758103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farrell, Patrick D.","contributorId":212085,"corporation":false,"usgs":false,"family":"Farrell","given":"Patrick","email":"","middleInitial":"D.","affiliations":[{"id":36320,"text":"PRRIP","active":true,"usgs":false}],"preferred":false,"id":758104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":758102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, David A. 0000-0001-9786-307X dbrandt@usgs.gov","orcid":"https://orcid.org/0000-0001-9786-307X","contributorId":149929,"corporation":false,"usgs":true,"family":"Brandt","given":"David","email":"dbrandt@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":758105,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caven, Andrew J.","contributorId":177586,"corporation":false,"usgs":false,"family":"Caven","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":758106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harner, Mary J.","contributorId":177584,"corporation":false,"usgs":false,"family":"Harner","given":"Mary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":758107,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wright, Greg D.","contributorId":177585,"corporation":false,"usgs":false,"family":"Wright","given":"Greg","email":"","middleInitial":"D.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":758108,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Metzger, Kristine L.","contributorId":147144,"corporation":false,"usgs":false,"family":"Metzger","given":"Kristine","email":"","middleInitial":"L.","affiliations":[{"id":16794,"text":"USFWS, Div of Biol Serv, Albuquerque, NM","active":true,"usgs":false}],"preferred":false,"id":758109,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70202387,"text":"70202387 - 2019 - Disease‐structured N‐mixture models: A practical guide to model disease dynamics using count data","interactions":[],"lastModifiedDate":"2019-02-26T14:14:42","indexId":"70202387","displayToPublicDate":"2019-02-26T14:14:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Disease‐structured N‐mixture models: A practical guide to model disease dynamics using count data","docAbstract":"<p><span>Obtaining inferences on disease dynamics (e.g., host population size, pathogen prevalence, transmission rate, host survival probability) typically requires marking and tracking individuals over time. While multistate mark–recapture models can produce high‐quality inference, these techniques are difficult to employ at large spatial and long temporal scales or in small remnant host populations decimated by virulent pathogens, where low recapture rates may preclude the use of mark–recapture techniques. Recently developed&nbsp;</span><i>N</i><span>‐mixture models offer a statistical framework for estimating wildlife disease dynamics from count data.&nbsp;</span><i>N</i><span>‐mixture models are a type of state‐space model in which observation error is attributed to failing to detect some individuals when they are present (i.e., false negatives). The analysis approach uses repeated surveys of sites over a period of population closure to estimate detection probability. We review the challenges of modeling disease dynamics and describe how&nbsp;</span><i>N</i><span>‐mixture models can be used to estimate common metrics, including pathogen prevalence, transmission, and recovery rates while accounting for imperfect host and pathogen detection. We also offer a perspective on future research directions at the intersection of quantitative and disease ecology, including the estimation of false positives in pathogen presence, spatially explicit disease‐structured&nbsp;</span><i>N</i><span>‐mixture models, and the integration of other data types with count data to inform disease dynamics. Managers rely on accurate and precise estimates of disease dynamics to develop strategies to mitigate pathogen impacts on host populations. At a time when pathogens pose one of the greatest threats to biodiversity, statistical methods that lead to robust inferences on host populations are critically needed for rapid, rather than incremental, assessments of the impacts of emerging infectious diseases.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4849","usgsCitation":"DiRenzo, G.V., Che-Castaldo, C., Saunders, S.P., Campbell Grant, E.H., and Zipkin, E.F., 2019, Disease‐structured N‐mixture models: A practical guide to model disease dynamics using count data: Ecology and Evolution, v. 9, no. 2, p. 899-909, https://doi.org/10.1002/ece3.4849.","productDescription":"11 p.","startPage":"899","endPage":"909","ipdsId":"IP-099044","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467871,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4849","text":"Publisher Index Page"},{"id":361552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"DiRenzo, Graziella V.","contributorId":192177,"corporation":false,"usgs":false,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":758142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Che-Castaldo, Christian","contributorId":202588,"corporation":false,"usgs":false,"family":"Che-Castaldo","given":"Christian","email":"","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":758143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saunders, Sarah P.","contributorId":192752,"corporation":false,"usgs":false,"family":"Saunders","given":"Sarah","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":758144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":758141,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zipkin, Elise F. 0000-0003-4155-6139","orcid":"https://orcid.org/0000-0003-4155-6139","contributorId":192755,"corporation":false,"usgs":false,"family":"Zipkin","given":"Elise","email":"","middleInitial":"F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":758145,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215598,"text":"70215598 - 2019 - Combining dynamic rupture simulations with ground motion data to characterize seismic hazard from Mw 3-5.8 earthquakes in Oklahoma and Kansas","interactions":[],"lastModifiedDate":"2020-10-25T18:39:00.821177","indexId":"70215598","displayToPublicDate":"2019-02-26T13:33:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Combining dynamic rupture simulations with ground motion data to characterize seismic hazard from Mw 3-5.8 earthquakes in Oklahoma and Kansas","docAbstract":"<p><span>Many seismically active areas suffer from a lack of near‐source ground‐motion recordings, making ground‐motion prediction difficult at distances within&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>40</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>km</mi></math>\"><span id=\"MathJax-Span-11\" class=\"math\"><span><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"mo\">∼</span><span id=\"MathJax-Span-14\" class=\"mn\">40</span><span id=\"MathJax-Span-15\" class=\"mtext\">  </span><span id=\"MathJax-Span-16\" class=\"mi\">km</span></span></span></span><span class=\"MJX_Assistive_MathML\">∼40  km</span></span></span><span>&nbsp;from an earthquake. We aim to aid the development of near‐source ground‐motion prediction equations (GMPEs) by generating synthetic ground‐motion data via simulation. Building on previous work using point‐source moment tensor sources to simulate small (</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-17\" class=\"math\"><span><span id=\"MathJax-Span-18\" class=\"mrow\"><span id=\"MathJax-Span-19\" class=\"msub\"><span id=\"MathJax-Span-20\" class=\"mi\">M</span><span id=\"MathJax-Span-21\" class=\"mi\">w</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">Mw</span></span></span><span>&nbsp;3–4) earthquakes for a target region encompassing north central Oklahoma and south central Kansas, we perform dynamic rupture simulations of earthquakes up to&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-22\" class=\"math\"><span><span id=\"MathJax-Span-23\" class=\"mrow\"><span id=\"MathJax-Span-24\" class=\"msub\"><span id=\"MathJax-Span-25\" class=\"mi\">M</span><span id=\"MathJax-Span-26\" class=\"mi\">w</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">Mw</span></span></span><span>&nbsp;5.8. We introduce complexity into the rupture process by adding stochastically generated heterogeneity to initial stress conditions. Our simulated ground‐motion data are added to a catalog of recorded ground‐motion data to construct a composite recorded‐simulated ground‐motion catalog that we use to develop a GMPE for the target region. This procedure can be generalized and used for GMPE development in other regions with near‐source ground‐motion data scarcity, which could directly benefit critical applications such as the National Seismic Hazard Maps produced by the U.S. Geological Survey (USGS).</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180042","usgsCitation":"Bydlon, S., Withers, K., and Dunham, E.M., 2019, Combining dynamic rupture simulations with ground motion data to characterize seismic hazard from Mw 3-5.8 earthquakes in Oklahoma and Kansas: Bulletin of the Seismological Society of America, v. 109, no. 2, p. 652-671, https://doi.org/10.1785/0120180042.","productDescription":"20 p.","startPage":"652","endPage":"671","ipdsId":"IP-104915","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":379727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas, Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.95361328125,\n              34.77771580360469\n            ],\n            [\n              -94.658203125,\n              34.77771580360469\n            ],\n            [\n              -94.658203125,\n              37.735969208590504\n            ],\n            [\n              -99.95361328125,\n              37.735969208590504\n            ],\n            [\n              -99.95361328125,\n              34.77771580360469\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"109","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Bydlon, Samuel","contributorId":243985,"corporation":false,"usgs":false,"family":"Bydlon","given":"Samuel","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":802935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Withers, Kyle 0000-0001-7863-3930","orcid":"https://orcid.org/0000-0001-7863-3930","contributorId":203492,"corporation":false,"usgs":true,"family":"Withers","given":"Kyle","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":802936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunham, Eric M.","contributorId":243986,"corporation":false,"usgs":false,"family":"Dunham","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":802937,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70201177,"text":"sir20185145 - 2019 - Catchment-level estimates of nitrogen and phosphorus agricultural use from commercial fertilizer sales for the conterminous United States, 2012","interactions":[],"lastModifiedDate":"2019-02-27T11:51:29","indexId":"sir20185145","displayToPublicDate":"2019-02-26T12:06:29","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5145","displayTitle":"Catchment-Level Estimates of Nitrogen and Phosphorus Agricultural Use from Commercial Fertilizer Sales for the Conterminous United States, 2012","title":"Catchment-level estimates of nitrogen and phosphorus agricultural use from commercial fertilizer sales for the conterminous United States, 2012","docAbstract":"<p>Nutrient inputs from commercial agricultural fertilizer, particularly nitrogen and phosphorus, are important factors contributing to the degradation of surface-water quality and the alteration of aquatic ecosystems. Despite this importance, information about the application of fertilizer to agricultural land is not available in a consistent manner across the United States at a scale useful for regional water-quality assessment. To address this need, an approach is developed to relate commercial fertilizer sales to a set of explanatory variables using spatially referenced modeling methods. Spatially referenced modeling in this study refers to statistically relating fertilizer use, estimated from commercial fertilizer sales data, to spatially referenced data on watershed attributes. Separate models for nitrogen and phosphorus are developed to estimate elemental fertilizer use on agricultural lands for the conterminous United States at the National Hydrography Dataset Plus (NHDPlus) catchment scale for the year 2012. The approach builds on earlier efforts that use Association of American Plant Food Control Officials data on fertilizer sales to provide county-level estimates of nitrogen and phosphorus fertilizer use. The spatially referenced method improves on these efforts by allowing for varying nitrogen to phosphorus ratios at the catchment scale and expanding the set of variables used to allocate county-level sales data to the catchment scale. The models include catchment-level factors that are either primary determinants of fertilizer use, such as the acreage of different crop types, or measures reflecting the intensity of use, such as climate. Explanatory variables available only at the county scale, such as U.S. Department of Agriculture Census of Agriculture estimates of fertilizer expenditures, are included to improve the model predictions of elemental use. The nitrogen and phosphorus models explain more than 90 percent of the variation in elemental use at the state level, and the statistical approach allows for the estimation of uncertainty of predicted use in each catchment. The spatial patterns of model predictions reflect known agricultural cropping practices across the United States that transcend political boundaries, despite the county/state orientation of the fertilizer sales information. The results are expected to be useful for a variety of water-quality assessments that are intended to estimate nitrogen and phosphorus loads to streams.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185145","usgsCitation":"Stewart, J.S., Schwarz, G.E., Brakebill, J.W., and Preston, S.D., 2019, Catchment-level estimates of nitrogen and phosphorus agricultural use from commercial fertilizer sales for the conterminous United States, 2012: U.S. Geological Survey Scientific Investigations Report 2018–5145, 52 p., https://doi.org/10.3133/sir20185145.","productDescription":"Report: x, 52 p.; Data releases","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-092916","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":361425,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5145/sir20185145.pdf","text":"Report","size":"54.8 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         ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_wi@usgs.gov\" data-mce-href=\"mailto:dc_wi@usgs.gov\">Director</a>, <a href=\"https://wi.water.usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://wi.water.usgs.gov\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>8505 Research Way<br>Middleton, Wisconsin 53562</p>","tableOfContents":"<ul><li>Foreword</li><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Results</li><li>Model Evaluation</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendixes 1–5</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-02-26","noUsgsAuthors":false,"publicationDate":"2019-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Stewart, Jana S. 0000-0002-8121-1373 jsstewar@usgs.gov","orcid":"https://orcid.org/0000-0002-8121-1373","contributorId":539,"corporation":false,"usgs":true,"family":"Stewart","given":"Jana","email":"jsstewar@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarz, Gregory E. 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":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":753060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brakebill, John W. 0000-0001-9235-6810 jwbrakeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9235-6810","contributorId":1061,"corporation":false,"usgs":true,"family":"Brakebill","given":"John","email":"jwbrakeb@usgs.gov","middleInitial":"W.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":753061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Preston, Stephen D. 0000-0003-1515-6692 spreston@usgs.gov","orcid":"https://orcid.org/0000-0003-1515-6692","contributorId":1463,"corporation":false,"usgs":true,"family":"Preston","given":"Stephen","email":"spreston@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":753062,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70200931,"text":"ofr20181181 - 2019 - Shallow geology, sea-floor texture, and physiographic zones of the inner continental shelf from Aquinnah to Wasque Point, Martha’s Vineyard, and Eel Point to Great Point, Nantucket, Massachusetts","interactions":[],"lastModifiedDate":"2019-02-26T15:19:47","indexId":"ofr20181181","displayToPublicDate":"2019-02-26T11:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1181","displayTitle":"Shallow Geology, Sea-Floor Texture, and Physiographic Zones of the Inner Continental Shelf From Aquinnah to Wasque Point, Martha’s Vineyard, and Eel Point to Great Point, Nantucket, Massachusetts","title":"Shallow geology, sea-floor texture, and physiographic zones of the inner continental shelf from Aquinnah to Wasque Point, Martha’s Vineyard, and Eel Point to Great Point, Nantucket, Massachusetts","docAbstract":"A series of interpretive maps that describe the shallow geology, distribution, and texture of sea-floor sediments, and physiographic zones of the sea floor along the south and west shores of Martha’s Vineyard and the north shore of Nantucket, Massachusetts, were produced by using high-resolution geophysical data (interferometric and multibeam swath bathymetry, light detection and ranging (lidar) bathymetry, backscatter intensity, and seismic-reflection profiles), sediment samples, and bottom photographs. These interpretations are intended to aid statewide efforts to inventory and manage coastal and marine resources, link with existing data interpretations, and provide information for research focused on coastal evolution and environmental change. Marine geologic mapping of the inner continental shelf of Massachusetts is a statewide cooperative effort of the U.S. Geological Survey and the Massachusetts Office of Coastal Zone Management.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181181","collaboration":"Prepared in cooperation with the Massachusetts Office of Coastal Zone Management","usgsCitation":"Pendleton, E.A., Baldwin, W.E., Ackerman, S.D., Foster, D.S., Andrews, B.D., Schwab, W.C., and Brothers, L.L., 2019, Shallow geology, sea-floor texture, and physiographic zones of the inner continental shelf from Aquinnah to Wasque Point, Martha’s Vineyard, and Eel Point to Great Point, Nantucket, Massachusetts: U.S. Geological Survey Open-File Report 2018–1181, 37 p., https://doi.org/10.3133/ofr20181181.","productDescription":"vii, 37 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-098045","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":361301,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1181/ofr20181181.pdf","text":"Report","size":"6.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1181"},{"id":361300,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1181/coverthb.jpg"},{"id":361304,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/ofr20151153","text":"Open-File Report 2015–1153","linkHelpText":"- Sea-Floor Texture and Physiographic Zones of the Inner Continental Shelf From Salisbury to Nahant, Massachusetts, Including the Merrimack Embayment and Western Massachusetts Bay"},{"id":361305,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/ofr20161119","text":"Open-File Report 2016–1119","linkHelpText":"- Shallow Geology, Sea-Floor Texture, and Physiographic Zones of Vineyard and Western Nantucket Sounds, Massachusetts"},{"id":361302,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20121157","text":"Open-File Report 2012–1157","linkHelpText":"- Shallow Geology, Seafloor Texture, and Physiographic Zones of the Inner Continental Shelf From Nahant to Northern Cape Cod Bay, Massachusetts"},{"id":361306,"rank":7,"type":{"id":18,"text":"Project Site"},"url":"https://www.usgs.gov/centers/whcmsc/science/geologic-mapping-massachusetts-seafloor","linkHelpText":"- Geologic Mapping of the Massachusetts Seafloor"},{"id":361307,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E9EFNE ","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial Data Layers of Shallow Geology, Sea-Floor Texture, and Physiographic Zones from the Inner Continental Shelf of Martha’s Vineyard from Aquinnah to Wasque Point, and Nantucket from Eel Point to Great Point"},{"id":361303,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/ofr20141220","text":"Open-File Report 2014–1220","linkHelpText":"- Shallow Geology, Sea-Floor Texture, and Physiographic Zones of Buzzards Bay, Massachusetts"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.8915567398071,\n              41.19165717485481\n            ],\n            [\n              -70.0112771987915,\n              41.19165717485481\n            ],\n            [\n              -70.0112771987915,\n              41.428157138277015\n            ],\n            [\n              -70.8915567398071,\n              41.428157138277015\n            ],\n            [\n              -70.8915567398071,\n              41.19165717485481\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:WHSC_science_director@usgs.gov\" data-mce-href=\"mailto:WHSC_science_director@usgs.gov\">Director</a>, <a href=\"https://woodshole.er.usgs.gov\" data-mce-href=\"https://woodshole.er.usgs.gov\">Woods Hole Coastal and Marine Science Center</a><br>U.S. Geological Survey<br>384 Woods Hole Road Quissett Campus<br>Woods Hole, MA 02543–1598</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Links to Geospatial Data Layers</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2019-02-26","noUsgsAuthors":false,"publicationDate":"2019-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Pendleton, Elizabeth A. 0000-0002-1224-4892 ependleton@usgs.gov","orcid":"https://orcid.org/0000-0002-1224-4892","contributorId":174845,"corporation":false,"usgs":true,"family":"Pendleton","given":"Elizabeth","email":"ependleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":751368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, David S. 0000-0003-1205-0884 dfoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0884","contributorId":1320,"corporation":false,"usgs":true,"family":"Foster","given":"David","email":"dfoster@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andrews, Brian D. 0000-0003-1024-9400 bandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-1024-9400","contributorId":201662,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian","email":"bandrews@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751370,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751371,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brothers, Laura L. 0000-0003-2986-5166 lbrothers@usgs.gov","orcid":"https://orcid.org/0000-0003-2986-5166","contributorId":176698,"corporation":false,"usgs":true,"family":"Brothers","given":"Laura","email":"lbrothers@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751372,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70202891,"text":"70202891 - 2019 - Toxicokinetics of imidacloprid-coated wheat seeds in Japanese quail (Coturnix japonica) and an evaluation of hazard","interactions":[],"lastModifiedDate":"2019-04-02T16:08:02","indexId":"70202891","displayToPublicDate":"2019-02-25T15:54:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Toxicokinetics of imidacloprid-coated wheat seeds in Japanese quail (<i>Coturnix japonica</i>) and an evaluation of hazard","title":"Toxicokinetics of imidacloprid-coated wheat seeds in Japanese quail (Coturnix japonica) and an evaluation of hazard","docAbstract":"Birds are potentially exposed to neonicotinoid insecticides by ingestion of coated seeds during crop planting. Adult male Japanese quail were orally dosed with wheat seeds coated with an imidacloprid (IMI) formulation at either 0.9 mg/kg body weight (BW) or 2.7 mg/kg BW (~3 and 9% of IMI LD50 for Japanese quail, respectively) for 1 or 10 days. Quail were euthanized between 1 and 24 h post-exposure to assess toxicokinetics. Analysis revealed rapid absorption (1 h) into blood, and distribution to brain, muscle, kidney and liver. Clearance to below detection limits occurred at both dose levels and exposure durations in all tissues within 24 h. Metabolism was extensive, with 5-OH-IMI and IMI-olefin detected at greater concentrations than IMI in tissues and fecal samples. There was no lethality or overt signs of toxicity at either dose level.  Furthermore, no evidence of enhanced expression of mRNA genes associated with hepatic xenobiotic metabolism, oxidative DNA damage or alterations in concentrations of corticosterone and thyroid hormones was observed.  Application of the toxicokinetic data was used to predict IMI residue levels in liver with reasonable results for some field exposure and avian mortality events.  It would appear that some affected species are either consuming larger quantities of seeds or exhibit differences in ADME or sensitivity than predicted by read-across from these data.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.8b07062","usgsCitation":"Bean, T.G., Gross, M.S., Karouna-Renier, N., Henry, P.F., Schultz, S.L., Hladik, M.L., Kuivila, K., and Rattner, B.A., 2019, Toxicokinetics of imidacloprid-coated wheat seeds in Japanese quail (Coturnix japonica) and an evaluation of hazard: Environmental Science & Technology, v. 53, no. 7, p. 3888-3897, https://doi.org/10.1021/acs.est.8b07062.","productDescription":"10 p. ","startPage":"3888","endPage":"3897","ipdsId":"IP-104159","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":437561,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H5T2MV","text":"USGS data release","linkHelpText":"Toxicokinetics of imidacloprid-coated wheat seeds in Japanese quail (Coturnix coturnix) and an assessment of risk"},{"id":362670,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"7","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Bean, Thomas G. 0000-0002-3577-1994 tbean@usgs.gov","orcid":"https://orcid.org/0000-0002-3577-1994","contributorId":205287,"corporation":false,"usgs":false,"family":"Bean","given":"Thomas","email":"tbean@usgs.gov","middleInitial":"G.","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":760405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gross, Michael S. 0000-0002-2433-166X","orcid":"https://orcid.org/0000-0002-2433-166X","contributorId":213604,"corporation":false,"usgs":true,"family":"Gross","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":760407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henry, Paula F. P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":760408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schultz, Sandra L. 0000-0003-3394-2857 sschultz@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-2857","contributorId":5966,"corporation":false,"usgs":true,"family":"Schultz","given":"Sandra","email":"sschultz@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":760409,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":203857,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760410,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":190790,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn","email":"kkuivila@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760411,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":760404,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70202362,"text":"70202362 - 2019 - Modeling riparian restoration impacts on the hydrologic cycle at the Babacomari Ranch, SE Arizona, USA","interactions":[],"lastModifiedDate":"2019-02-25T13:49:06","indexId":"70202362","displayToPublicDate":"2019-02-25T13:49:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Modeling riparian restoration impacts on the hydrologic cycle at the Babacomari Ranch, SE Arizona, USA","docAbstract":"<p><span>This paper describes coupling field experiments with surface and groundwater modeling to investigate rangelands of SE Arizona, USA using erosion-control structures to augment shallow and deep aquifer recharge. We collected field data to describe the physical and hydrological properties before and after gabions (caged riprap) were installed in an ephemeral channel. The modular finite-difference flow model is applied to simulate the amount of increase needed to raise groundwater levels. We used the average increase in infiltration measured in the field and projected on site, assuming all infiltration becomes recharge, to estimate how many gabions would be needed to increase recharge in the larger watershed. A watershed model was then applied and calibrated with discharge and 3D terrain measurements, to simulate flow volumes. Findings were coupled to extrapolate simulations and quantify long-term impacts of riparian restoration. Projected scenarios demonstrate how erosion-control structures could impact all components of the annual water budget. Results support the potential of watershed-wide gabion installation to increase total aquifer recharge, with models portraying increased subsurface connectivity and accentuated lateral flow contributions.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w11020381","usgsCitation":"Norman, L., Callegary, J.B., Lacher, L., Wilson, N., Fandel, C., Forbes, B.T., and Swetnam, T., 2019, Modeling riparian restoration impacts on the hydrologic cycle at the Babacomari Ranch, SE Arizona, USA: Water, v. 11, no. 2, p. 1-20, https://doi.org/10.3390/w11020381.","productDescription":"Article 381; 20 p.","startPage":"1","endPage":"20","ipdsId":"IP-090323","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":467872,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w11020381","text":"Publisher Index Page"},{"id":361505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Babacomari Ranch","volume":"11","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":757998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Callegary, James B. 0000-0003-3604-0517 jcallega@usgs.gov","orcid":"https://orcid.org/0000-0003-3604-0517","contributorId":2171,"corporation":false,"usgs":true,"family":"Callegary","given":"James","email":"jcallega@usgs.gov","middleInitial":"B.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lacher, Laurel","contributorId":213547,"corporation":false,"usgs":false,"family":"Lacher","given":"Laurel","affiliations":[{"id":38785,"text":"Lacher Hydrological Consulting, Tucson, AZ 85719","active":true,"usgs":false}],"preferred":false,"id":758000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Natalie R. 0000-0001-5145-1221","orcid":"https://orcid.org/0000-0001-5145-1221","contributorId":202534,"corporation":false,"usgs":true,"family":"Wilson","given":"Natalie R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":758001,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fandel, Chloé","contributorId":213548,"corporation":false,"usgs":false,"family":"Fandel","given":"Chloé","affiliations":[{"id":38786,"text":"University of Arizona, Hydrology and Water Resources, Tucson, AZ 85719","active":true,"usgs":false}],"preferred":false,"id":758002,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Forbes, Brandon T. 0000-0003-4051-0593 bforbes@usgs.gov","orcid":"https://orcid.org/0000-0003-4051-0593","contributorId":213549,"corporation":false,"usgs":true,"family":"Forbes","given":"Brandon","email":"bforbes@usgs.gov","middleInitial":"T.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":758003,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swetnam, Tyson","contributorId":213550,"corporation":false,"usgs":false,"family":"Swetnam","given":"Tyson","email":"","affiliations":[{"id":38787,"text":"University of Arizona , BIO5 Institute, Tucson, AZ 85719","active":true,"usgs":false}],"preferred":false,"id":758004,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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