{"pageNumber":"889","pageRowStart":"22200","pageSize":"25","recordCount":165519,"records":[{"id":70191922,"text":"70191922 - 2017 - CO2 cycle","interactions":[],"lastModifiedDate":"2017-12-18T11:13:13","indexId":"70191922","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"displayTitle":"CO<sub>2</sub> cycle","title":"CO2 cycle","docAbstract":"This chapter discusses the use of models, observations, and laboratory experiments to understand the cycling of CO2 between the atmosphere and seasonal Martian polar caps. This cycle is primarily controlled by the polar heat budget, and thus the emphasis here is on its components, including solar and infrared radiation, the effect of clouds (water- and CO2-ice), atmospheric transport, and subsurface heat conduction. There is a discussion about cap properties including growth and regression rates, albedos and emissivities, grain sizes and dust and/or water-ice contamination, and curious features like cold gas jets and araneiform (spider-shaped) terrain. The nature of the residual south polar cap is discussed as well as its long-term stability and ability to buffer atmospheric pressures. There is also a discussion of the consequences of the CO2 cycle as revealed by the non-condensable gas enrichment observed by Odyssey and modeled by various groups.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The atmosphere and climate of Mars","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/9781139060172.012","usgsCitation":"Titus, T.N., Byrne, S., Colaprete, A., Forget, F., Michaels, T.I., and Prettyman, T.H., 2017, CO2 cycle, chap. <i>of</i> The atmosphere and climate of Mars, p. 374-404, https://doi.org/10.1017/9781139060172.012.","productDescription":"31 p.","startPage":"374","endPage":"404","ipdsId":"IP-050666","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":350068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf9e4b06e28e9c22a61","contributors":{"authors":[{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":713710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrne, Shane","contributorId":192609,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","email":"","affiliations":[],"preferred":false,"id":713711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colaprete, Anthony","contributorId":197548,"corporation":false,"usgs":false,"family":"Colaprete","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":713712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forget, Francois","contributorId":197549,"corporation":false,"usgs":false,"family":"Forget","given":"Francois","email":"","affiliations":[],"preferred":false,"id":713713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michaels, Timothy I.","contributorId":197550,"corporation":false,"usgs":false,"family":"Michaels","given":"Timothy","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":713714,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Prettyman, Thomas H.","contributorId":197551,"corporation":false,"usgs":false,"family":"Prettyman","given":"Thomas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":713715,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193911,"text":"70193911 - 2017 - Estimating thermal maturity in the Eagle Ford Shale petroleum system using gas gravity data","interactions":[],"lastModifiedDate":"2019-06-03T13:20:31","indexId":"70193911","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1871,"text":"Gulf Coast Association of Geological Societies Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Estimating thermal maturity in the Eagle Ford Shale petroleum system using gas gravity data","docAbstract":"<p>Basin-wide datasets that provide information on the geochemical properties of petroleum systems, such as source rock quality, product composition, and thermal maturity, are often difficult to come by or assemble from publicly available data. When published studies are available and include these kinds of properties, they generally have few sampling locations and limited numbers and types of analyses. Therefore, production-related data and engineering parameters can provide useful proxies for geochemical properties that are often widely available across a play and in some states are reported in publicly available or commercial databases. Gas-oil ratios (GOR) can be calculated from instantaneous or cumulative production data and can be related to the source rock geochemical properties like kerogen type (Lewan and Henry, 1999) and thermal maturity (Tian et al., 2013; U.S. Energy Information Administration [EIA], 2014). Oil density or specific gravity (SG), often reported in American Petroleum Institute units (°API = 141.5 /SG – 131.5), can also provide information on source rock thermal maturity, particularly when combined with GOR values in unconventional petroleum systems (Nesheim, 2017).</p>","language":"English","publisher":"Gulf Coast Association of Geological Societies","usgsCitation":"Birdwell, J.E., and Kinney, S.A., 2017, Estimating thermal maturity in the Eagle Ford Shale petroleum system using gas gravity data: Gulf Coast Association of Geological Societies Transactions, v. 67, p. 397-403.","productDescription":"7 p.","startPage":"397","endPage":"403","ipdsId":"IP-090524","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf9e4b06e28e9c22a4b","contributors":{"authors":[{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":721451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinney, Scott A. 0000-0001-5008-5813 skinney@usgs.gov","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":1395,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"skinney@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":721452,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193912,"text":"70193912 - 2017 - Geochemical and mineralogical characterization of the Eagle Ford Shale: Results from the USGS Gulf Coast #1 West Woodway core","interactions":[],"lastModifiedDate":"2017-12-18T12:28:19","indexId":"70193912","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1871,"text":"Gulf Coast Association of Geological Societies Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical and mineralogical characterization of the Eagle Ford Shale: Results from the USGS Gulf Coast #1 West Woodway core","docAbstract":"<p>The Eagle Ford shale is a major continuous oil and gas resource play in southcentral Texas and a source for other oil accumulations in the East Texas Basin. As part of the U.S. Geological Survey’s (USGS) petroleum system assessment and research efforts, a coring program to obtain several immature, shallow cores from near the outcrop belt in central Texas has been undertaken. The first of these cores, USGS Gulf Coast #1 West Woodway, was collected near Waco, Texas, in September 2015 and has undergone extensive geochemical and mineralogical characterization using routine methods to ascertain variations in the lithologies and chemofacies present in the Eagle Ford at this locale. Approximately 270 ft of core was examined for this study, focusing on the Eagle Ford Group interval between the overlying Austin Chalk and underlying Buda Limestone (~20 ft of each). Based on previous work to identify the stratigraphy of the Eagle Ford Group in the Waco area and elsewhere (Liro et al., 1994; Robison, 1997; Ratcliffe et al., 2012; Boling and Dworkin, 2015; Fairbanks et al., 2016, and references therein), several lithological units were expected to be present, including the Pepper Shale (or Woodbine), the Lake Waco Formation (or Lower Eagle Ford, including the Bluebonnet, Cloice, and Bouldin or Flaggy Cloice members), and the South Bosque Member (Upper Eagle Ford). The results presented here indicate that there are three major chemofacies present in the cored interval, which are generally consistent with previous descriptions of the Eagle Ford Group in this area. The relatively high-resolution sampling (every two ft above the Buda, 432.8 ft depth, and below the Austin Chalk, 163.5 ft depth) provides great detail in terms of geochemical and mineralogical properties supplementing previous work on immature Eagle Ford Shale near the outcrop belt. </p>","language":"English","publisher":"Gulf Coast Association of Geological Societies Transactions","usgsCitation":"Birdwell, J.E., Boehlke, A., Paxton, S.T., Whidden, K.J., and Pearson, O.N., 2017, Geochemical and mineralogical characterization of the Eagle Ford Shale: Results from the USGS Gulf Coast #1 West Woodway core: Gulf Coast Association of Geological Societies Transactions, v. 67, p. 391-395.","productDescription":"5 p.","startPage":"391","endPage":"395","ipdsId":"IP-090525","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf8e4b06e28e9c22a48","contributors":{"authors":[{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":721454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boehlke, Adam 0000-0003-4980-431X aboehlke@usgs.gov","orcid":"https://orcid.org/0000-0003-4980-431X","contributorId":3470,"corporation":false,"usgs":true,"family":"Boehlke","given":"Adam","email":"aboehlke@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":721455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paxton, Stanley T. 0000-0002-9098-1740 spaxton@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-1740","contributorId":739,"corporation":false,"usgs":true,"family":"Paxton","given":"Stanley","email":"spaxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":721456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whidden, Katherine J. 0000-0002-7841-2553 kwhidden@usgs.gov","orcid":"https://orcid.org/0000-0002-7841-2553","contributorId":3960,"corporation":false,"usgs":true,"family":"Whidden","given":"Katherine","email":"kwhidden@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":721457,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearson, Ofori N. 0000-0002-9550-1128 opearson@usgs.gov","orcid":"https://orcid.org/0000-0002-9550-1128","contributorId":1680,"corporation":false,"usgs":true,"family":"Pearson","given":"Ofori","email":"opearson@usgs.gov","middleInitial":"N.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":721458,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194119,"text":"70194119 - 2017 - Food web conceptual model","interactions":[],"lastModifiedDate":"2017-12-15T13:29:05","indexId":"70194119","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":5573,"text":"Interagency Ecological Program Technical Report","active":true,"publicationSubtype":{"id":4}},"seriesNumber":"91","title":"Food web conceptual model","docAbstract":"<p>This chapter describes a general model of food webs within tidal wetlands and represents how physical features of the wetland affect the structure and function of the food web. This conceptual model focuses on how the food web provides support for (or may reduce support for) threatened fish species. This model is part of a suite of conceptual models designed to guide monitoring of restoration sites throughout the San Francisco Estuary (SFE), but particularly within the Sacramento-San Joaquin Delta (Delta) and Suisun Marsh. The conceptual models have been developed based on the Delta Regional Ecosystem Restoration Implementation Plan (DRERIP) models, and are designed to aid in the identification and evaluation of monitoring metrics for tidal wetland restoration projects. </p><p>Many tidal restoration sites in the Delta are being constructed to comply with environmental regulatory requirements associated with the operation of the Central Valley Project and State Water Project. These include the Biological Opinions for Delta Smelt (Hypomesus transpacificus) and salmonids (U.S. Fish and Wildlife Service 2008; National Marine Fisheries Service 2009), and the Incidental Take Permit for Longfin Smelt (Spirinchus thaleichthyes) (California Department of Fish and Wildlife 2009). </p><p>These regulatory requirements are based on the hypothesis that the decline of listed fish species is due in part to a decline in productivity of the food web (phytoplankton and zooplankton in particular) or alterations in the food web such that production is consumed by other species in the Estuary (Sommer et al. 2007; Baxter et al. 2010; Brown et al. 2016a). Intertidal wetlands and shallow subtidal habitat can be highly productive, so restoring areas of tidal wetlands may result in a net increase in productivity that will provide food web support for these fish species. However, other factors such as invasive bivalves that reduce phytoplankton and zooplankton biomass and invasive predatory fishes that may compete with or prey upon listed fishes can limit the utility of tidal wetlands for food web support (Lucas and Thompson 2012; Herbold et al. 2014). </p><p>This model utilizes information from the previous DRERIP models for Delta food webs (Durand 2008) and tidal wetlands (Kneib et al. 2008), an updated DRERIP model (Durand 2015), and the State of BayDelta Science 2016 review of recent Delta food web literature (Brown et al. 2016a).</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Effects of tidal wetland restoration on fish: A suite of conceptual models","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"California Department of Water Resources","usgsCitation":"Hartman, R., Brown, L.R., and Hobbs, J., 2017, Food web conceptual model: Interagency Ecological Program Technical Report 91, 38 p.","productDescription":"38 p.","startPage":"143","endPage":"180","ipdsId":"IP-082772","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":350040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348890,"type":{"id":11,"text":"Document"},"url":"https://www.water.ca.gov/iep/docs/tech_rpts/TR91.Wetland_CM_2Nov2017.pdf"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf8e4b06e28e9c22a45","contributors":{"authors":[{"text":"Hartman, Rosemary","contributorId":200388,"corporation":false,"usgs":false,"family":"Hartman","given":"Rosemary","email":"","affiliations":[],"preferred":false,"id":722155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":722154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hobbs, Jim","contributorId":200389,"corporation":false,"usgs":false,"family":"Hobbs","given":"Jim","email":"","affiliations":[],"preferred":false,"id":722156,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195756,"text":"70195756 - 2017 - Effects of thermal variability on broadband seismometers: Controlled experiments, observations, and implications","interactions":[],"lastModifiedDate":"2018-07-03T11:34:14","indexId":"70195756","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Effects of thermal variability on broadband seismometers: Controlled experiments, observations, and implications","docAbstract":"<p><span>Isolating seismic instruments from temperature fluctuations is routine practice within the seismological community. However, the necessary degree of thermal stability required in broadband installations to avoid generating noise or compromising the fidelity in the seismic records is largely unknown and likely application dependent. To quantify the temperature sensitivity of seismometers over a broad range of frequencies, we artificially induced local temperature changes on three different models of seismometers to measure the effect of thermal variations on seismometer output. We found that diurnal temperature changes above 0.002°C root mean square (rms) showed significant changes in velocity and acceleration output in comparison to thermally stable reference measurements. We also found that sensor incoherent self‐noise increased with temperature variation; these increases in noise can be modeled as&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mn xmlns=&quot;&quot;>1</mn><mo xmlns=&quot;&quot;>/</mo><mi xmlns=&quot;&quot;>f</mi></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mn\">1</span><span id=\"MathJax-Span-4\" class=\"mo\">/</span><span id=\"MathJax-Span-5\" class=\"mi\">f</span></span></span></span></span></span></span><span><span>&nbsp;</span>noise (pink noise), and are unlikely to be easily corrected for. These experimental results are compared with the data from Incorporated Research Institutions for Seismology (IRIS) U.S. Geological Survey (USGS) Global Seismographic Network (GSN) station TUC (Tucson, Arizona). This station is well instrumented with temperature sensors and has three different broadband seismometers, each of which uses a different method of thermal isolation. We show that the water bricks and borehole installations give ample temperature attenuation to thermally isolate seismometers from diurnal thermal variability that would compromise seismic data. We find that seismometer installations that provide thermal stability below 0.002°C rms could help to improve long‐period vertical seismic data across the GSN by decreasing temperature‐driven<span>&nbsp;</span></span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mn xmlns=&quot;&quot;>1</mn><mo xmlns=&quot;&quot;>/</mo><mi xmlns=&quot;&quot;>f</mi></math>\"><span id=\"MathJax-Span-6\" class=\"math\"><span><span><span id=\"MathJax-Span-7\" class=\"mrow\"><span id=\"MathJax-Span-8\" class=\"mn\">1</span><span id=\"MathJax-Span-9\" class=\"mo\">/</span><span id=\"MathJax-Span-10\" class=\"mi\">f</span></span></span></span></span></span></span><span><span>&nbsp;</span>noise.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170233","usgsCitation":"Doody, C., Ringler, A.T., Anthony, R.E., Wilson, D.C., Holland, A., Hutt, C.R., and Sandoval, L., 2017, Effects of thermal variability on broadband seismometers: Controlled experiments, observations, and implications: Bulletin of the Seismological Society of America, v. 108, no. 1, p. 493-502, https://doi.org/10.1785/0120170233.","productDescription":"10 p.","startPage":"493","endPage":"502","ipdsId":"IP-091363","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":352146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-26","publicationStatus":"PW","scienceBaseUri":"5afee7aae4b0da30c1bfc333","contributors":{"authors":[{"text":"Doody, Claire","contributorId":202828,"corporation":false,"usgs":false,"family":"Doody","given":"Claire","email":"","affiliations":[],"preferred":false,"id":729802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":729803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":729804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":729805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holland, Austin 0000-0002-7843-1981 aaholland@usgs.gov","orcid":"https://orcid.org/0000-0002-7843-1981","contributorId":173969,"corporation":false,"usgs":true,"family":"Holland","given":"Austin","email":"aaholland@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":729806,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":729807,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sandoval, Leo lsandoval@usgs.gov","contributorId":202830,"corporation":false,"usgs":true,"family":"Sandoval","given":"Leo","email":"lsandoval@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":729808,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193631,"text":"70193631 - 2017 - Genetic structure of muskellunge in the Great Lakes region and the effects of supplementation on genetic integrity of wild populations","interactions":[],"lastModifiedDate":"2018-01-26T15:54:17","indexId":"70193631","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Genetic structure of muskellunge in the Great Lakes region and the effects of supplementation on genetic integrity of wild populations","docAbstract":"<p><span>Muskellunge (</span><i>Esox masquinongy</i><span>) are important apex predators that support numerous recreational fisheries throughout the Great Lakes region. Declines in muskellunge abundance from historical overharvest and environmental degradation have threatened the viability of many populations and prompted significant restoration efforts that often include stocking. The goal of our study was to investigate contemporary population structure and genetic diversity in 42 populations of muskellunge sampled across the Great Lakes region to inform future management and supplementation practices. We genotyped 1896 muskellunge (</span><i>N</i><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>10–123/population) at 13 microsatellite loci. The greatest genetic variation was between populations of Great Lakes origin and populations of Northern (inland) origin, with both groups also exhibiting significant substructure (overall<span>&nbsp;</span></span><i>F</i><sub>ST</sub><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>0.23). Genetic structure was generally correlated with geography; however, we only found marginal evidence of isolation by distance, likely due to high genetic differentiation among proximate populations. Measures of genetic diversity were moderate across most populations, but some populations displayed low diversity consistent with small population sizes or historical bottlenecks. Many of the populations studied displayed evidence of historic introductions and supplemental stocking, including the presence of individuals with primarily non-native ancestry as well as interlineage hybrids. Our results suggest that the historic population structure of muskellunge is largely intact across the Great Lakes region, but also that stocking practices have altered this structure to some degree. We suggest that future supplementation practices use local sources where possible, and incorporate genetic tools including broodstock screening to ensure that non-native muskellunge are not used to supplement wild populations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.09.005","usgsCitation":"Turnquist, K.N., Larson, W., Farrell, J.M., Hanchin, P., Kapuscinski, K.L., Miller, L.M., Scribner, K.T., Wilson, C.C., and Sloss, B.L., 2017, Genetic structure of muskellunge in the Great Lakes region and the effects of supplementation on genetic integrity of wild populations: Journal of Great Lakes Research, v. 43, no. 6, p. 1141-1152, https://doi.org/10.1016/j.jglr.2017.09.005.","productDescription":"12 p.","startPage":"1141","endPage":"1152","ipdsId":"IP-079938","costCenters":[{"id":199,"text":"Coop Res Unit 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USA","active":true,"usgs":false}],"preferred":false,"id":725997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Loren M.","contributorId":172059,"corporation":false,"usgs":false,"family":"Miller","given":"Loren","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725998,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scribner, Kim T.","contributorId":146113,"corporation":false,"usgs":false,"family":"Scribner","given":"Kim","email":"","middleInitial":"T.","affiliations":[{"id":135,"text":"Biological Resources Division","active":false,"usgs":true},{"id":16582,"text":"Department of Fisheries and Wildlife and Department of Zoology, 480 Wilson Rd. 13 Natural Resources Building, Michigan State University, East Lansing, MI 48824","active":true,"usgs":false}],"preferred":false,"id":725999,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilson, Chris C.","contributorId":149385,"corporation":false,"usgs":false,"family":"Wilson","given":"Chris","email":"","middleInitial":"C.","affiliations":[{"id":17723,"text":"3Aquatic Research Section, Ontario Ministry of Natural Resources, Trent University","active":true,"usgs":false}],"preferred":false,"id":726000,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sloss, Brian L. bsloss@usgs.gov","contributorId":702,"corporation":false,"usgs":true,"family":"Sloss","given":"Brian","email":"bsloss@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":726001,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70192991,"text":"70192991 - 2017 - Determining quantity and quality of retained oil in mature marly chalk and marlstone of the Cretaceous Niobrara Formation by low-temperature hydrous pyrolysis","interactions":[],"lastModifiedDate":"2017-12-18T12:41:02","indexId":"70192991","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Determining quantity and quality of retained oil in mature marly chalk and marlstone of the Cretaceous Niobrara Formation by low-temperature hydrous pyrolysis","docAbstract":"<p>Low-temperature hydrous pyrolysis (LTHP) at 300°C (572°F) for 24 h released retained oils from 12- to 20-meshsize samples of mature Niobrara marly chalk and marlstone cores. The released oil accumulated on the water surface of the reactor, and is compositionally similar to oil produced from the same well. The quantities of oil released from the marly chalk and marlstone by LTHP are respectively 3.4 and 1.6 times greater than those determined by tight rock analyses (TRA) on aliquots of the same samples. Gas chromatograms indicated this difference is a result of TRA oils losing more volatiles and volatilizing less heavy hydrocarbons during collection than LTHP oils. Characterization of the rocks before and after LTPH by programmable open-system pyrolysis (HAWK) indicate that under LTHP conditions no significant oil is generated and only preexisting retained oil is released. Although LTHP appears to provide better predictions of quantity and quality of retained oil in a mature source rock, it is not expected to replace the more time and sample-size efficacy of TRA. However, LTHP can be applied to composited samples from key intervals or lithologies originally recognized by TRA. Additional studies on duration, temperature, and sample size used in LTHP may further optimize its utility. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":" Unconventional Resources Technology Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":" Unconventional Resources Technology Conference","usgsCitation":"Lewan, M., and Sonnenfeld, M.D., 2017, Determining quantity and quality of retained oil in mature marly chalk and marlstone of the Cretaceous Niobrara Formation by low-temperature hydrous pyrolysis, <i>in</i>  Unconventional Resources Technology Conference, 8 p.","productDescription":"8 p.","ipdsId":"IP-085370","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347665,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/urtec/2017/2670700.htm"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf9e4b06e28e9c22a57","contributors":{"authors":[{"text":"Lewan, Michael 0000-0001-6347-1553 mlewan@usgs.gov","orcid":"https://orcid.org/0000-0001-6347-1553","contributorId":173938,"corporation":false,"usgs":true,"family":"Lewan","given":"Michael","email":"mlewan@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":717546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sonnenfeld, Mark D.","contributorId":198886,"corporation":false,"usgs":false,"family":"Sonnenfeld","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":717547,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192105,"text":"70192105 - 2017 - Connecting the Soda–Avawatz and Bristol–Granite Mountains faults with gravity andaeromagnetic data, Mojave Desert, California","interactions":[],"lastModifiedDate":"2017-12-15T13:15:56","indexId":"70192105","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Connecting the Soda–Avawatz and Bristol–Granite Mountains faults with gravity andaeromagnetic data, Mojave Desert, California","docAbstract":"<p>The Soda–Avawatz and Bristol–Granite Mountains faults are considered by some to form the northeastern margin of the eastern California shear zone yet their connectivity and extents are obscured by surficial deposits and the estimates of total right-lateral offset from geologic data range from 0 to as much as 24 km. We use gravity and recently released detailed aeromagnetic data to map strands of these faults, examine structure within the fault zones and provide estimates of right-lateral offset. Gradients in gravity and aeromagnetic data define physical property contrasts that coincide with mapped strands of the faults and allow for extension of these faults, where concealed, to indicate continuity between the Soda–Avawatz and Bristol–Granite Mountains faults. Gravity data reveal local tectonic basins west of Silver Lake, beneath Soda Lake, and southwest of the Marble Mountains that are approximately 9–15 km long, 3–5 km wide, and 1–1.5 km deep. The basins are located where the local fault traces strike more northerly than the overall fault zone strike, suggesting that these basins are transtensional (pull-apart). If the lengths of these basins can be used as a proxy for rightlateral offset, the Soda–Avawatz and Bristol–Granite Mountains faults may have up to 9–15 km of post-early Miocene offset, consistent with our offset estimates from correlative magnetic anomalies across the fault zone. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"ECSZ does it: Revisiting the Eastern California Shear Zone 2017 Desert Symposium Field Guide and Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2017 Desert Symposium","language":"English","publisher":"California State University Desert Studies Center","usgsCitation":"Langenheim, V., and Miller, D., 2017, Connecting the Soda–Avawatz and Bristol–Granite Mountains faults with gravity andaeromagnetic data, Mojave Desert, California, <i>in</i> ECSZ does it: Revisiting the Eastern California Shear Zone 2017 Desert Symposium Field Guide and Proceedings, p. 83-92.","productDescription":"10 p.","startPage":"83","endPage":"92","ipdsId":"IP-083724","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":350038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347024,"type":{"id":15,"text":"Index Page"},"url":"https://nsm.fullerton.edu/dsc/desert-studies-center-additional-information"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.5,\n              34.5\n            ],\n            [\n              -116.25,\n              34.5\n            ],\n            [\n              -116.25,\n              35.5\n            ],\n            [\n              -115.5,\n              35.5\n            ],\n            [\n              -115.5,\n              34.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf9e4b06e28e9c22a5e","contributors":{"authors":[{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":714249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":714250,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193221,"text":"70193221 - 2017 - Documenting mudstone heterogeneity by use of principal component analysis of X-ray diffraction and portable X-ray fluorescence data: A case study in the Triassic Shublik Formation, Alaska North Slope","interactions":[],"lastModifiedDate":"2017-12-18T12:31:27","indexId":"70193221","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Documenting mudstone heterogeneity by use of principal component analysis of X-ray diffraction and portable X-ray fluorescence data: A case study in the Triassic Shublik Formation, Alaska North Slope","docAbstract":"<p>Determining the chemical and mineralogical variability within fine-grained mudrocks poses analytical challenges but is potentially useful for documenting subtle stratigraphic differences in physicochemical environments that may influence petroleum reservoir properties and behavior. In this study, we investigate the utility of combining principal component analysis (PCA) of X-ray diffraction (XRD) data and portable X-ray fluorescence (pXRF) data to identify simplifying relationships within a large number of samples and subsequently evaluate a subset that encompasses the full spectrum or range of mineral and chemical variability within a vertical section. Samples were collected and analyzed from a vertical core of the Shublik Formation, a heterogeneous, phosphate-rich, calcareous mudstone-to-marl unit deposited in the Arctic Alaska Basin (AAB) during the Middle and Late Triassic. The Shublik is a major petroleum source rock in the Alaskan North Slope, and is considered a prime target for continuous self-sourced resource plays.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"SEPM-AAPG Research Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"SEPM-AAPG Research Conference","usgsCitation":"Boehlke, A., Whidden, K.J., and Benzel, W., 2017, Documenting mudstone heterogeneity by use of principal component analysis of X-ray diffraction and portable X-ray fluorescence data: A case study in the Triassic Shublik Formation, Alaska North Slope, <i>in</i> SEPM-AAPG Research Conference, 6 p.","productDescription":"6 p.","ipdsId":"IP-074995","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf9e4b06e28e9c22a50","contributors":{"authors":[{"text":"Boehlke, Adam 0000-0003-4980-431X aboehlke@usgs.gov","orcid":"https://orcid.org/0000-0003-4980-431X","contributorId":3470,"corporation":false,"usgs":true,"family":"Boehlke","given":"Adam","email":"aboehlke@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whidden, Katherine J. 0000-0002-7841-2553 kwhidden@usgs.gov","orcid":"https://orcid.org/0000-0002-7841-2553","contributorId":3960,"corporation":false,"usgs":true,"family":"Whidden","given":"Katherine","email":"kwhidden@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":718253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":718254,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191906,"text":"70191906 - 2017 - Water-resources and land-surface deformation evaluation studies at Fort Irwin National Training Center, Mojave Desert, California","interactions":[],"lastModifiedDate":"2019-06-13T10:31:01","indexId":"70191906","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Water-resources and land-surface deformation evaluation studies at Fort Irwin National Training Center, Mojave Desert, California","docAbstract":"<p>The U.S. Army Fort Irwin National Training Center (NTC), in the Mojave Desert, obtains all of its potable water supply from three groundwater basins (Irwin, Langford, and Bicycle) within the NTC boundaries (fig. 1; California Department of Water Resources, 2003). Because of increasing water demands at the NTC, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army, completed several studies to evaluate water resources in the developed and undeveloped groundwater basins underlying the NTC. In all of the developed basins, groundwater withdrawals exceed natural recharge, resulting in water-level declines. However, artificial recharge of treated wastewater has had some success in offsetting water-level declines in Irwin Basin. Additionally, localized water-quality changes have occurred in some parts of Irwin Basin as a result of human activities (i.e., wastewater disposal practices, landscape irrigation, and/or leaking pipes). As part of the multi-faceted NTC-wide studies, traditional datacollection methods were used and include lithological and geophysical logging at newly drilled boreholes, hydrologic data collection (i.e. water-level, water-quality, aquifer tests, wellbore flow). Because these data cover a small portion of the 1,177 square-mile (mi2 ) NTC, regional mapping, including geologic, gravity, aeromagnetic, and InSAR, also were done. In addition, ground and airborne electromagnetic surveys were completed and analyzed to provide more detailed subsurface information on a regional, base-wide scale. The traditional and regional ground and airborne data are being analyzed and will be used to help develop preliminary hydrogeologic framework and groundwater-flow models in all basins. This report is intended to provide an overview of recent water-resources and land-surface deformation studies at the NTC.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2017 Desert Symposium Field Guide and Proceedings - ECSZ does it: Revisiting the eastern California Shear Zone","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"California State University Desert Studies Center","usgsCitation":"Densmore, J.N., Dishart, J.E., Miller, D., Buesch, D.C., Ball, L.B., Bedrosian, P.A., Woolfenden, L.R., Cromwell, G., Burgess, M.K., Nawikas, J., O’Leary, D., Kjos, A., Sneed, M., and Brandt, J.T., 2017, Water-resources and land-surface deformation evaluation studies at Fort Irwin National Training Center, Mojave Desert, California, <i>in</i> 2017 Desert Symposium Field Guide and Proceedings - ECSZ does it: Revisiting the eastern California Shear Zone, p. 290-298.","productDescription":"9 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Center","active":true,"usgs":true}],"preferred":true,"id":713615,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nawikas, Joseph 0000-0001-9061-6674 jnawika@usgs.gov","orcid":"https://orcid.org/0000-0001-9061-6674","contributorId":175503,"corporation":false,"usgs":true,"family":"Nawikas","given":"Joseph","email":"jnawika@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713616,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"O’Leary, David 0000-0001-9888-1739 doleary@usgs.gov","orcid":"https://orcid.org/0000-0001-9888-1739","contributorId":139900,"corporation":false,"usgs":true,"family":"O’Leary","given":"David","email":"doleary@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713617,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kjos, Adam 0000-0002-2722-3306 adamkjos@usgs.gov","orcid":"https://orcid.org/0000-0002-2722-3306","contributorId":4130,"corporation":false,"usgs":true,"family":"Kjos","given":"Adam","email":"adamkjos@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713618,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sneed, Michelle 0000-0002-8180-382X micsneed@usgs.gov","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":155,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","email":"micsneed@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713619,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Brandt, Justin T. 0000-0002-9397-6824 jbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-9397-6824","contributorId":157,"corporation":false,"usgs":true,"family":"Brandt","given":"Justin","email":"jbrandt@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713620,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70192853,"text":"70192853 - 2017 - Radiometric characterization of Landsat Collection 1 products","interactions":[],"lastModifiedDate":"2017-12-20T11:00:05","indexId":"70192853","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Radiometric characterization of Landsat Collection 1 products","docAbstract":"<p><span>Landsat data in the U.S. Geological Survey (USGS) archive are being reprocessed to generate a tiered collection of consistently geolocated and radiometrically calibrated products that are suitable for time series analyses. With the implementation of the collection management, no major updates will be made to calibration of the Landsat sensors within a collection. Only calibration parameters needed to maintain the established calibration trends without an effect on derived environmental records will be regularly updated, while all other changes will be deferred to a new collection. This first collection, Collection 1, incorporates various radiometric calibration updates to all Landsat sensors including absolute and relative gains for Landsat 8 Operational Land Imager (OLI), stray light correction for Landsat 8 Thermal Infrared Sensor (TIRS), absolute gains for Landsat 4 and 5 Thematic Mappers (TM), recalibration of Landsat 1-5 Multispectral Scanners (MSS) to ensure radiometric consistency among different formats of archived MSS data, and a transfer of Landsat 8 OLI reflectance based calibration to all previous Landsat sensors. While all OLI/TIRS, ETM+ and majority of TM data have already been reprocessed to Collection 1, a completion of MSS and remaining TM data reprocessing is expected by the end of this year. It is important to note that, although still available for download from the USGS web pages, the products generated using the Pre-Collection processing do not benefit from the latest radiometric calibration updates. In this paper, we are assessing radiometry of solar reflective bands in Landsat Collection 1 products through analysis of trends in on-board calibrator and pseudo invariant site (PICS) responses.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings Volume 10402, Earth Observing Systems XXII","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Photo-Optical Instrumentation Engineers","doi":"10.1117/12.2276065","usgsCitation":"Micijevic, E., Haque, O., and Mishra, N., 2017, Radiometric characterization of Landsat Collection 1 products, <i>in</i> Proceedings Volume 10402, Earth Observing Systems XXII, v. 10402, 8 p., https://doi.org/10.1117/12.2276065.","productDescription":"8 p.","ipdsId":"IP-090400","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":350128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10402","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf9e4b06e28e9c22a59","contributors":{"authors":[{"text":"Micijevic, Esad 0000-0002-3828-9239 emicijevic@usgs.gov","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":3075,"corporation":false,"usgs":true,"family":"Micijevic","given":"Esad","email":"emicijevic@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":717214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haque, Obaidul 0000-0002-0914-1446 ohaque@usgs.gov","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":4691,"corporation":false,"usgs":true,"family":"Haque","given":"Obaidul","email":"ohaque@usgs.gov","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":true,"id":717215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mishra, Nischal nischal.mishra.ctr@usgs.gov","contributorId":198842,"corporation":false,"usgs":true,"family":"Mishra","given":"Nischal","email":"nischal.mishra.ctr@usgs.gov","affiliations":[],"preferred":false,"id":717216,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191050,"text":"70191050 - 2017 - Vulnerability of coral reefs to bioerosion from land-based sources of pollution","interactions":[],"lastModifiedDate":"2022-11-14T16:57:56.217623","indexId":"70191050","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of coral reefs to bioerosion from land-based sources of pollution","docAbstract":"<p><span>Ocean acidification (OA), the gradual decline in ocean pH and [&nbsp;</span><span class=\"math-equation-construct\" data-equation-construct=\"true\"><span class=\"math-equation-image\" data-equation-image=\"true\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/2017JC013264/asset/equation/jgrc22505-math-0001.png?v=1&amp;s=072cd767753a34f47b463713a2956f9820b549ae\" alt=\"math formula\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/2017JC013264/asset/equation/jgrc22505-math-0001.png?v=1&amp;s=072cd767753a34f47b463713a2956f9820b549ae\"></span></span><span>] caused by rising levels of atmospheric CO</span><sub>2</sub><span>, poses a significant threat to coral reef ecosystems, depressing rates of calcium carbonate (CaCO</span><sub>3</sub><span>) production, and enhancing rates of bioerosion and dissolution. As ocean pH and [<span>&nbsp;</span></span><span class=\"math-equation-construct\" data-equation-construct=\"true\"><span class=\"math-equation-image\" data-equation-image=\"true\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/2017JC013264/asset/equation/jgrc22505-math-0002.png?v=1&amp;s=8d7349d4f1044b6572dca5422a94b5c951e16126\" alt=\"math formula\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/2017JC013264/asset/equation/jgrc22505-math-0002.png?v=1&amp;s=8d7349d4f1044b6572dca5422a94b5c951e16126\"></span></span><span>] decline globally, there is increasing emphasis on managing local stressors that can exacerbate the vulnerability of coral reefs to the effects of OA. We show that sustained, nutrient rich, lower pH submarine groundwater discharging onto nearshore coral reefs off west Maui lowers the pH of seawater and exposes corals to nitrate concentrations 50 times higher than ambient. Rates of coral calcification are substantially decreased, and rates of bioerosion are orders of magnitude higher than those observed in coral cores collected in the Pacific under equivalent low pH conditions but living in oligotrophic waters. Heavier coral nitrogen isotope (δ</span><sup>15</sup><span>N) values pinpoint not only site-specific eutrophication, but also a sewage nitrogen source enriched in<span>&nbsp;</span></span><sup>15</sup><span>N. Our results show that eutrophication of reef seawater by land-based sources of pollution can magnify the effects of OA through nutrient driven-bioerosion. These conditions could contribute to the collapse of coastal coral reef ecosystems sooner than current projections predict based only on ocean acidification.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/2017JC013264","usgsCitation":"Prouty, N.G., Anne Cohen, Yates, K.K., Storlazzi, C.D., Swarzenski, P.W., and White, D., 2017, Vulnerability of coral reefs to bioerosion from land-based sources of pollution: Journal of Geophysical Research C: Oceans, v. 122, no. 12, p. 9319-9331, https://doi.org/10.1002/2017JC013264.","productDescription":"13 p.","startPage":"9319","endPage":"9331","ipdsId":"IP-083486","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488732,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jc013264","text":"Publisher Index Page"},{"id":349902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Maui","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.6944,\n              20.9361\n            ],\n            [\n              -156.6889,\n              20.9361\n            ],\n            [\n              -156.6889,\n              20.9472\n            ],\n            [\n              -156.6944,\n              20.9472\n            ],\n            [\n              -156.6944,\n              20.9361\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf9e4b06e28e9c22a67","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anne Cohen","contributorId":191409,"corporation":false,"usgs":false,"family":"Anne Cohen","affiliations":[],"preferred":false,"id":711060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yates, Kimberly K. 0000-0001-8764-0358 kyates@usgs.gov","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":420,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"kyates@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711062,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":711063,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Darla","contributorId":194122,"corporation":false,"usgs":false,"family":"White","given":"Darla","affiliations":[],"preferred":false,"id":711064,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70196240,"text":"70196240 - 2017 - Spatial mismatch between sea lamprey behaviour and trap location explains low success at trapping for control","interactions":[],"lastModifiedDate":"2018-03-28T11:42:11","indexId":"70196240","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Spatial mismatch between sea lamprey behaviour and trap location explains low success at trapping for control","docAbstract":"<p><span>Crucial to the management of invasive species is understanding space use and the environmental features affecting space use. Improved understanding of space use by invasive sea lamprey (</span><i>Petromyzon marinus</i><span>) could help researchers discern why trap success in large rivers is lower than needed for effective control. We tested whether manipulating discharge nightly could increase trap success at a hydroelectric generating station on the St. Marys River. We quantified numbers of acoustically tagged sea lampreys migrating up to, and their space use at, the hydroelectric generating station. In 2011 and 2012, 78% and 68%, respectively, of tagged sea lampreys reached the generating station. Sea lampreys were active along the face, but more likely to occur at the bottom and away from the traps near the surface, especially when discharge was high. Our findings suggest that a low probability of encountering traps was due to spatial (vertical) mismatch between space use by sea lamprey and trap locations and that increasing discharge did not alter space use in ways that increased trap encounter. Understanding space use by invasive species can help managers assess the efficacy of trapping and ways of improving trapping success.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0445","usgsCitation":"Rous, A.M., McLean, A.R., Barber, J., Bravener, G., Castro-Santos, T., Holbrook, C., Imre, I., Pratt, T., and McLaughlin, R., 2017, Spatial mismatch between sea lamprey behaviour and trap location explains low success at trapping for control: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 12, p. 2085-2097, https://doi.org/10.1139/cjfas-2016-0445.","productDescription":"13 p.","startPage":"2085","endPage":"2097","ipdsId":"IP-080349","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469259,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/78306","text":"External Repository"},{"id":352821,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"12","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee79fe4b0da30c1bfc322","contributors":{"authors":[{"text":"Rous, Andrew M.","contributorId":203583,"corporation":false,"usgs":false,"family":"Rous","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":36663,"text":"Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada","active":true,"usgs":false}],"preferred":false,"id":731823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLean, Adrienne R.","contributorId":203584,"corporation":false,"usgs":false,"family":"McLean","given":"Adrienne","email":"","middleInitial":"R.","affiliations":[{"id":36664,"text":". Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada","active":true,"usgs":false}],"preferred":false,"id":731824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barber, Jessica","contributorId":173133,"corporation":false,"usgs":false,"family":"Barber","given":"Jessica","affiliations":[{"id":6584,"text":"United States Fish and Wildlife Service–Bozeman Fish Technology","active":true,"usgs":false}],"preferred":false,"id":731826,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bravener, Gale","contributorId":150995,"corporation":false,"usgs":false,"family":"Bravener","given":"Gale","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":731827,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Castro-Santos, Theodore 0000-0003-2575-9120","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":203582,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":731822,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":4198,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher M.","email":"cholbrook@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":731825,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Imre, Istvan","contributorId":150985,"corporation":false,"usgs":false,"family":"Imre","given":"Istvan","email":"","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":731828,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pratt, Thomas C.","contributorId":177870,"corporation":false,"usgs":false,"family":"Pratt","given":"Thomas C.","affiliations":[],"preferred":false,"id":731829,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McLaughlin, Robert L.","contributorId":65748,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Robert L.","affiliations":[],"preferred":false,"id":731830,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70196869,"text":"70196869 - 2017 - Conservation status assessment of an endangered insular raptor: the Sharp-shinned Hawk in Puerto Rico","interactions":[],"lastModifiedDate":"2018-05-08T13:26:23","indexId":"70196869","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Conservation status assessment of an endangered insular raptor: the Sharp-shinned Hawk in Puerto Rico","docAbstract":"<p><span>Sharp‐shinned Hawks (</span><i>Accipiter striatus</i><span>) are forest raptors that are widely distributed in the Americas. A subspecies endemic to Puerto Rico (</span><i>A.&nbsp;s.&nbsp;venator</i><span>) is listed as endangered and restricted to mature and old secondary montane forests and shade coffee plantations. However, recent information about the population status and distribution of Puerto Rican Sharp‐shinned Hawks is lacking. We developed a spatial geographic distribution model for Sharp‐shinned Hawks in Puerto Rico from 33 locations collected during four breeding seasons (2013–2016) using biologically relevant landscape variables (aspect, canopy closure, elevation, rainfall, slope, and terrain roughness). Elevation accounted for 89.8% of the model fit and predicted that the greatest probability of occurrence of Sharp‐shinned Hawks in Puerto Rico (&gt;&nbsp;60%) was at elevations above 900&nbsp;m. Based on our model, an estimated 56.1&nbsp;km</span><sup>2</sup><span><span>&nbsp;</span>of habitat exists in Puerto Rico with a high probability of occurrence. This total represents ~0.6% of the island's area. Public lands included 43.8% of habitat with high probability of occurrence (24.6&nbsp;km</span><sup>2</sup><span>), 96% of which was located within four protected areas. Our results suggest that Sharp‐shinned Hawks are rare in Puerto Rico and restricted to the higher elevations of the Cordillera Central. Additional research is needed to identify and address ecological limiting factors, and recovery actions are needed to avoid the extinction of this endemic island raptor.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jofo.12228","usgsCitation":"Gallardo, J.C., and Vilella, F., 2017, Conservation status assessment of an endangered insular raptor: the Sharp-shinned Hawk in Puerto Rico: Journal of Field Ornithology, v. 88, no. 4, p. 349-361, https://doi.org/10.1111/jofo.12228.","productDescription":"13 p.","startPage":"349","endPage":"361","ipdsId":"IP-090401","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto 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,{"id":70194345,"text":"70194345 - 2017 - Spatial data analytics on heterogeneous multi- and many-core parallel architectures using python","interactions":[],"lastModifiedDate":"2017-12-19T10:40:15","indexId":"70194345","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Spatial data analytics on heterogeneous multi- and many-core parallel architectures using python","docAbstract":"Parallel vector spatial analysis concerns the application of parallel computational methods to facilitate vector-based spatial analysis. The history of parallel computation in spatial analysis is reviewed, and this work is placed into the broader context of high-performance computing (HPC) and parallelization research. The rise of cyber infrastructure and its manifestation in spatial analysis as CyberGIScience is seen as a main driver of renewed interest in parallel computation in the spatial sciences. Key problems in spatial analysis that have been the focus of parallel computing are covered. Chief among these are spatial optimization problems, computational geometric problems including polygonization and spatial contiguity detection, the use of Monte Carlo Markov chain simulation in spatial statistics, and parallel implementations of spatial econometric methods. Future directions for research on parallelization in computational spatial analysis are outlined.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of GIS","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-17885-1_1569","usgsCitation":"Laura, J.R., and Rey, S.J., 2017, Spatial data analytics on heterogeneous multi- and many-core parallel architectures using python, chap. <i>of</i> Encyclopedia of GIS, https://doi.org/10.1007/978-3-319-17885-1_1569.","ipdsId":"IP-077310","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":350069,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-12","publicationStatus":"PW","scienceBaseUri":"5a60faf8e4b06e28e9c22a40","contributors":{"authors":[{"text":"Laura, Jason R. 0000-0002-1377-8159 jlaura@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-8159","contributorId":5603,"corporation":false,"usgs":true,"family":"Laura","given":"Jason","email":"jlaura@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":723385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rey, Sergio J.","contributorId":200615,"corporation":false,"usgs":false,"family":"Rey","given":"Sergio","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723386,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70195075,"text":"70195075 - 2017 - Boiling-induced formation of colloidal gold in black smoker hydrothermal fluids","interactions":[],"lastModifiedDate":"2018-02-08T12:38:47","indexId":"70195075","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Boiling-induced formation of colloidal gold in black smoker hydrothermal fluids","docAbstract":"<p><span>Gold colloids occur in black smoker fluids from the Niua South hydrothermal vent field, Lau Basin (South Pacific Ocean), confirming the long-standing hypothesis that gold may undergo colloidal transport in hydrothermal fluids. Six black smoker vents, varying in temperature from 250 °C to 325 °C, were sampled; the 325 °C vent was boiling at the time of sampling and the 250 °C fluids were diffusely venting. Native gold particles ranging from &lt;50 nm to 2 µm were identified in 4 of the fluid samples and were also observed to precipitate on the sampler during collection from the boiling vent. Total gold concentrations (dissolved and particulate) in the fluid samples range from 1.6 to 5.4 nM in the high-temperature, focused flow vents. Although the gold concentrations in the focused flow fluids are relatively high, they are lower than potential solubilities prior to boiling and indicate that precipitation was boiling induced, with sulfide lost upon boiling to exsolution and metal sulfide formation. Gold concentrations reach 26.7 nM in the 250 °C diffuse flow sample, and abundant native gold particles were also found in the fluids and associated sulfide chimney and are interpreted to be a product of colloid accumulation and growth following initial precipitation upon boiling. These results indicate that colloid-driven precipitation as a result of boiling, the persistence of colloids after boiling, and the accumulation of colloids in diffuse flow fluids are important mechanisms for the enrichment of gold in seafloor hydrothermal systems.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G39492.1","usgsCitation":"Gartman, A., Hannington, M., Jamieson, J.W., Peterkin, B., Garbe-Schonberg, D., Findlay, A., Fuchs, S., and Kwasnitschka, T., 2017, Boiling-induced formation of colloidal gold in black smoker hydrothermal fluids: Geology, v. 46, no. 1, p. 39-42, https://doi.org/10.1130/G39492.1.","productDescription":"4 p.","startPage":"39","endPage":"42","ipdsId":"IP-088539","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469280,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g39492.1","text":"Publisher Index Page"},{"id":351346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-29","publicationStatus":"PW","scienceBaseUri":"5a7d7000e4b00f54eb2441e2","contributors":{"authors":[{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":726819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hannington, Mark","contributorId":201706,"corporation":false,"usgs":false,"family":"Hannington","given":"Mark","affiliations":[{"id":36237,"text":"GEOMAR Helmholtz Centre for Ocean Research Kiel; Department of Earth Sciences, University of Ottawa","active":true,"usgs":false}],"preferred":false,"id":726820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jamieson, John W.","contributorId":201707,"corporation":false,"usgs":false,"family":"Jamieson","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":36238,"text":"Memorial University of Newfoundland St. John's","active":true,"usgs":false}],"preferred":false,"id":726821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterkin, Ben","contributorId":201708,"corporation":false,"usgs":false,"family":"Peterkin","given":"Ben","email":"","affiliations":[{"id":36238,"text":"Memorial University of Newfoundland St. John's","active":true,"usgs":false}],"preferred":false,"id":726822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garbe-Schonberg, Dieter","contributorId":201709,"corporation":false,"usgs":false,"family":"Garbe-Schonberg","given":"Dieter","email":"","affiliations":[{"id":36239,"text":"Institute for Geosciences, Kiel University","active":true,"usgs":false}],"preferred":false,"id":726823,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Findlay, Alyssa J","contributorId":201710,"corporation":false,"usgs":false,"family":"Findlay","given":"Alyssa J","affiliations":[{"id":36240,"text":"Ben-Gurion University of the Negev; Current Address, Aarhus University","active":true,"usgs":false}],"preferred":false,"id":726824,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fuchs, Sebastian","contributorId":201711,"corporation":false,"usgs":false,"family":"Fuchs","given":"Sebastian","email":"","affiliations":[{"id":36241,"text":"GEOMAR Helmholtz Centre for Ocean Research Kiel","active":true,"usgs":false}],"preferred":false,"id":726825,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kwasnitschka, Tom","contributorId":201712,"corporation":false,"usgs":false,"family":"Kwasnitschka","given":"Tom","email":"","affiliations":[{"id":36241,"text":"GEOMAR Helmholtz Centre for Ocean Research Kiel","active":true,"usgs":false}],"preferred":false,"id":726826,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70195374,"text":"70195374 - 2017 - Sea turtles, light pollution, and citizen science: A preliminary report","interactions":[],"lastModifiedDate":"2018-10-20T12:36:34","indexId":"70195374","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Sea turtles, light pollution, and citizen science: A preliminary report","docAbstract":"Sea turtles are an important ecological resource for Gulf Islands National Seashore’s (Gulf Islands) waters and shorelines. Regionally, sea turtles face anthropogenic threats from situations\nsuch as entanglement in fishing gear and ingestion of marine debris, as well as possible changes in sex ratios due to increasing temperatures related to human-induced global warming. Locally, light pollution from residential, commercial, and industrial neighborhoods from nearby cities impacts the entirety of Gulf Islands, which spans 160 miles along the Gulf Coast, from Florida to Mississippi, and includes critical habitat for threatened and endangered sea turtles. Because light pollution has been hypothesized to negatively impact sea turtle nesting and hatchling survival, Gulf Islands undertook an effort to understand the relationship between light pollution and sea turtles and create unique educational and outreach opportunities by launching a citizen science program called Turtle Teens Helping in the Seashore (Turtle THIS). At the onset, the Turtle THIS program had two primary goals: quantify the association between light pollution and sea turtle nesting and hatching events using rigorous scientific methods; and initiate a citizen science volunteer program to provide youth with hands-on science and environmental stewardship roles, where they also gain employable skills and career opportunities. With multiple scientific hypotheses to consider, the development of a citizen science program became crucial. Such circumstances allowed Turtle THIS to grow a volunteer and intern program, quantify hypothesized light effects on sea turtles through developed methods, and begin to gather preliminary findings.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Connections across people, place, and time: Proceedings of the 2017 George Wright Society Conference on Parks, Protected Areas, and Cultural Sites","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"George Wright Society","usgsCitation":"Afford, H., Teel, S., Nicholas, M., Stanley, T.R., and White, J., 2017, Sea turtles, light pollution, and citizen science: A preliminary report, <i>in</i> Connections across people, place, and time: Proceedings of the 2017 George Wright Society Conference on Parks, Protected Areas, and Cultural Sites, p. 9-15.","productDescription":"7 p.","startPage":"9","endPage":"15","ipdsId":"IP-088000","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":351533,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.georgewright.org/proceedings2017"},{"id":351534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Gulf Islands National Seashore, Pensacola Beach","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.42645263671875,\n              30.289310339324643\n            ],\n            [\n              -86.91146850585938,\n              30.289310339324643\n            ],\n            [\n              -86.91146850585938,\n              30.387684205387366\n            ],\n            [\n              -87.42645263671875,\n              30.387684205387366\n            ],\n            [\n              -87.42645263671875,\n              30.289310339324643\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7aae4b0da30c1bfc33f","contributors":{"authors":[{"text":"Afford, Heather","contributorId":202360,"corporation":false,"usgs":false,"family":"Afford","given":"Heather","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":728240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teel, Susan","contributorId":202361,"corporation":false,"usgs":false,"family":"Teel","given":"Susan","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":728241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nicholas, Mark","contributorId":202362,"corporation":false,"usgs":false,"family":"Nicholas","given":"Mark","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":728242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanley, Thomas R. 0000-0002-8393-0005 stanleyt@usgs.gov","orcid":"https://orcid.org/0000-0002-8393-0005","contributorId":209928,"corporation":false,"usgs":true,"family":"Stanley","given":"Thomas","email":"stanleyt@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":728239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Jeremy","contributorId":202363,"corporation":false,"usgs":false,"family":"White","given":"Jeremy","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":728243,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194953,"text":"70194953 - 2017 - Comment on linking the sex difference in PCB concentrations of fish to release of eggs at spawning: Time to jettison the dogma","interactions":[],"lastModifiedDate":"2019-03-15T12:52:30","indexId":"70194953","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5616,"text":"Oceanography & Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Comment on linking the sex difference in PCB concentrations of fish to release of eggs at spawning: Time to jettison the dogma","docAbstract":"<p>For the past 20 years or so, a commonly used explanation in the scientific literature for higher polychlorinated biphenyl (PCB) concentrations in male fish than in female fish has been that females lose a high proportion of their PCB body burden by releasing eggs at spawning time, and therefore the females undergo a substantial decrease in their PCB concentration immediately after spawning due to shedding of their eggs [1]. Indeed, this explanation can be viewed as the conventional wisdom used by toxicologists to account for differences in PCB concentrations between the sexes of fish. On the surface, this explanation seems plausible. PCBs are lipid soluble, and eggs are thought to be relatively high in lipid concentration. If a sufficiently high proportion of the PCB body burden within a female fish is transferred to the eggs, then the release of eggs at spawning would be expected to result in a dramatic decrease in the PCB concentration of the female. </p>","language":"English","publisher":"Juniper Publishers","doi":"10.19080/OFOAJ.2017.05.555661","usgsCitation":"Madenjian, C.P., 2017, Comment on linking the sex difference in PCB concentrations of fish to release of eggs at spawning: Time to jettison the dogma: Oceanography & Fisheries, v. 5, no. 3, Article 555661; 2 p., https://doi.org/10.19080/OFOAJ.2017.05.555661.","productDescription":"Article 555661; 2 p.","ipdsId":"IP-091218","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":482055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.19080/ofoaj.2017.05.555661","text":"Publisher Index Page"},{"id":350895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-14","publicationStatus":"PW","scienceBaseUri":"5a743585e4b0a9a2e9e25ca4","contributors":{"authors":[{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":726271,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70196793,"text":"70196793 - 2017 - Thermal tolerances of fishes occupying groundwater and surface-water dominated streams","interactions":[],"lastModifiedDate":"2018-05-01T14:48:45","indexId":"70196793","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Thermal tolerances of fishes occupying groundwater and surface-water dominated streams","docAbstract":"<p><span>A thermal tolerance study mimicking different stream environments could improve our ecological understanding of how increasing water temperatures affect stream ectotherms and improve our ability to predict organism responses based on river classification schemes. Our objective was to compare the thermal tolerances of stream fishes of different habitat guilds among 3 exposure periods: critical thermal maximum (CTmax, increase of 2°C/h until loss of equilibrium [LOE] and death [D]), and 2 longer-term treatments (net daily increase of 1°C) that mimicked spring-fed (SF; 4°C daily increase) and non-spring-fed (NSF; 8°C daily increase) conditions. Fishes in the pelagic habitat guild had a 1°C higher average CTmax than benthic fishes. Thermal responses of species depended on exposure period with higher and increased variation in tolerances associated with the SF and NSF exposure periods. Logperch, Orangebelly Darter, Orangethroat Darter, and Southern Redbelly Dace were more sensitive to thermal increases regardless of SF or NSF treatment than were the 3 remaining species (Brook Silverside, Central Stoneroller, and Redspot Chub), which represented average thermal responses among the species tested. The 3 species that had a higher thermal response to CTmax-D (lethal endpoint of death) also were able to increase their tolerances more than other species in both SF and NSF treatments. Our data indicate finer guild designations may be useful for predicting thermal-response patterns. A diel thermal refuge increases the thermal responses of ectotherms to daily maxima, but the patterns across our SF and NSF treatments were similar suggesting minimum refuge temperatures may be more important than maximums. Nonetheless, stream temperature cooling over a 24-h period is important to ectotherm thermal tolerances, a result suggesting that sources of cooler water to streams might benefit from protection.</span></p>","language":"English","publisher":"University of Chicago Press","doi":"10.1086/694781","usgsCitation":"Farless, N., and Brewer, S.K., 2017, Thermal tolerances of fishes occupying groundwater and surface-water dominated streams: Freshwater Science, v. 36, no. 4, p. 866-876, https://doi.org/10.1086/694781.","productDescription":"11 p.","startPage":"866","endPage":"876","ipdsId":"IP-079936","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee79ce4b0da30c1bfc300","contributors":{"authors":[{"text":"Farless, Nicole","contributorId":141040,"corporation":false,"usgs":false,"family":"Farless","given":"Nicole","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":734465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":734424,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70196791,"text":"70196791 - 2017 - Evaluating the potential for weed seed dispersal based on waterfowl consumption and seed viability","interactions":[],"lastModifiedDate":"2018-05-01T14:13:39","indexId":"70196791","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3035,"text":"Pest Management Science","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the potential for weed seed dispersal based on waterfowl consumption and seed viability","docAbstract":"<div id=\"ps4710-sec-0001\" class=\"article-section__content\"><p class=\"article-section__sub-title\"><strong>BACKGROUND</strong></p><p>Migratory waterfowl have often been implicated in the movement of troublesome agronomic and wetland weed species. However, minimal research has been conducted to investigate the dispersal of agronomically important weed species by waterfowl. The two objectives for this project were to determine what weed species are being consumed by ducks and snow geese, and to determine the recovery rate and viability of 13 agronomic weed species after passage through a duck's digestive system.</p></div><div id=\"ps4710-sec-0002\" class=\"article-section__content\"><p class=\"article-section__sub-title\"><strong>RESULTS</strong></p><p>Seed recovered from digestive tracts of 526 ducks and geese harvested during a 2‐year field study had 35 020 plants emerge. A greater variety of plant species emerged from ducks each year (47 and 31 species) compared to geese (11 and 3 species). Viable seed from 11 of 13 weed species fed to ducks in a controlled feeding study were recovered. Viability rate and gut retention times indicated potential dispersal up to 2900&nbsp;km from the source depending on seed characteristics and variability in waterfowl dispersal distances.</p></div><div id=\"ps4710-sec-0003\" class=\"article-section__content\"><p class=\"article-section__sub-title\"><strong>CONCLUSIONS</strong></p><p>Study results confirm that waterfowl are consuming seeds from a variety of agronomically important weed species, including Palmer amaranth, which can remain viable after passage through digestive tracts and have potential to be dispersed over long distances by waterfowl.</p></div>","language":"English","publisher":"Wiley","doi":"10.1002/ps.4710","usgsCitation":"Farmer, J.A., Webb, E.B., Pierce, R.A., and Bradley, K.W., 2017, Evaluating the potential for weed seed dispersal based on waterfowl consumption and seed viability: Pest Management Science, v. 73, no. 12, p. 2592-2603, https://doi.org/10.1002/ps.4710.","productDescription":"12 p.","startPage":"2592","endPage":"2603","ipdsId":"IP-079701","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-27","publicationStatus":"PW","scienceBaseUri":"5afee79ce4b0da30c1bfc302","contributors":{"authors":[{"text":"Farmer, Jaime A.","contributorId":204585,"corporation":false,"usgs":false,"family":"Farmer","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":734420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, Robert A. II","contributorId":204586,"corporation":false,"usgs":false,"family":"Pierce","given":"Robert","suffix":"II","email":"","middleInitial":"A.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":734421,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradley, Kevin W.","contributorId":204587,"corporation":false,"usgs":false,"family":"Bradley","given":"Kevin","email":"","middleInitial":"W.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":734422,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70195325,"text":"70195325 - 2017 - A statistical method to predict flow permanence in dryland streams from time series of stream temperature","interactions":[],"lastModifiedDate":"2018-02-08T13:51:52","indexId":"70195325","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"A statistical method to predict flow permanence in dryland streams from time series of stream temperature","docAbstract":"<p><span>Intermittent and ephemeral streams represent more than half of the length of the global river network. Dryland freshwater ecosystems are especially vulnerable to changes in human-related water uses as well as shifts in terrestrial climates. Yet, the description and quantification of patterns of flow permanence in these systems is challenging mostly due to difficulties in instrumentation. Here, we took advantage of existing stream temperature datasets in dryland streams in the northwest Great Basin desert, USA, to extract critical information on climate-sensitive patterns of flow permanence. We used a signal detection technique, Hidden Markov Models (HMMs), to extract information from daily time series of stream temperature to diagnose patterns of stream drying. Specifically, we applied HMMs to time series of daily standard deviation (SD) of stream temperature (i.e., dry stream channels typically display highly variable daily temperature records compared to wet stream channels) between April and August (2015–2016). We used information from paired stream and air temperature data loggers as well as co-located stream temperature data loggers with electrical resistors as confirmatory sources of the timing of stream drying. We expanded our approach to an entire stream network to illustrate the utility of the method to detect patterns of flow permanence over a broader spatial extent. We successfully identified and separated signals characteristic of wet and dry stream conditions and their shifts over time. Most of our study sites within the entire stream network exhibited a single state over the entire season (80%), but a portion of them showed one or more shifts among states (17%). We provide recommendations to use this approach based on a series of simple steps. Our findings illustrate a successful method that can be used to rigorously quantify flow permanence regimes in streams using existing records of stream temperature.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w9120946","usgsCitation":"Arismendi, I., Dunham, J.B., Heck, M., Schultz, L., and Hockman-Wert, D., 2017, A statistical method to predict flow permanence in dryland streams from time series of stream temperature: Water, v. 9, no. 12, p. 1-13, https://doi.org/10.3390/w9120946.","productDescription":"Article 946; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-087892","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469281,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w9120946","text":"Publisher Index Page"},{"id":438137,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JQ0ZW2","text":"USGS data 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,{"id":70196294,"text":"70196294 - 2017 - Possible behavioural, energetic and demographic effects of displacement of red-throated divers","interactions":[],"lastModifiedDate":"2018-03-30T16:03:49","indexId":"70196294","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":5674,"text":"U.K. Joint Nature Conservation Committee Report","printIssn":"0963-8901","active":true,"publicationSubtype":{"id":4}},"seriesNumber":"605","title":"Possible behavioural, energetic and demographic effects of displacement of red-throated divers","docAbstract":"<p><span>This report comprises the main points of discussion and agreement during a workshop, held in Edinburgh in May 2017, to discuss how displacement might affect individuals and the Red-throated diver population; with additional information added by the scientists following the workshop.</span></p>","conferenceTitle":"JNCC and Vattenfall Joint Workshop","conferenceDate":"May 2, 2017","conferenceLocation":"Edinburgh, Scotland","language":"English","publisher":"U.K. Joint Nature Conservation Committee","publisherLocation":"Peterborough, UK","issn":"0963-8901","usgsCitation":"Dierschke, V., Furness, R.W., Gray, C., Petersen, I.K., Schmutz, J.A., Zydelis, R., and Daunt, F., 2017, Possible behavioural, energetic and demographic effects of displacement of red-throated divers: U.K. Joint Nature Conservation Committee Report 605, 22 p.","productDescription":"22 p.","numberOfPages":"26","ipdsId":"IP-092673","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":353024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353022,"type":{"id":15,"text":"Index Page"},"url":"https://jncc.defra.gov.uk/page-6753"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee79ee4b0da30c1bfc314","contributors":{"authors":[{"text":"Dierschke, Volker","contributorId":203734,"corporation":false,"usgs":false,"family":"Dierschke","given":"Volker","email":"","affiliations":[{"id":36703,"text":"Gavia EcoResearch, Winsen, Germany","active":true,"usgs":false}],"preferred":false,"id":732198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Furness, Robert W.","contributorId":86588,"corporation":false,"usgs":false,"family":"Furness","given":"Robert","email":"","middleInitial":"W.","affiliations":[{"id":12473,"text":"University of Glasgow","active":true,"usgs":false}],"preferred":false,"id":732199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Carrie E.","contributorId":127669,"corporation":false,"usgs":false,"family":"Gray","given":"Carrie E.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false},{"id":25572,"text":"University of Maine, Orono","active":true,"usgs":false}],"preferred":false,"id":732200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen, Ib Krag","contributorId":203737,"corporation":false,"usgs":false,"family":"Petersen","given":"Ib","email":"","middleInitial":"Krag","affiliations":[{"id":16118,"text":"Department of Bioscience, Aarhus University, Grenåvej 14, DK-8410 Rønde, Denmark","active":true,"usgs":false}],"preferred":false,"id":732201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","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":732197,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zydelis, Ramunas","contributorId":203738,"corporation":false,"usgs":false,"family":"Zydelis","given":"Ramunas","email":"","affiliations":[{"id":35135,"text":"DHI, Hørsholm, Denmark","active":true,"usgs":false}],"preferred":false,"id":732202,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Daunt, Francis","contributorId":197240,"corporation":false,"usgs":false,"family":"Daunt","given":"Francis","email":"","affiliations":[{"id":36704,"text":"NERC Centre for Ecology & Hydrology, Penicuik, UK","active":true,"usgs":false}],"preferred":false,"id":732203,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70196469,"text":"70196469 - 2017 - LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes","interactions":[],"lastModifiedDate":"2018-04-10T10:56:16","indexId":"70196469","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5091,"text":"GigaScience","active":true,"publicationSubtype":{"id":10}},"title":"LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes","docAbstract":"<p>Understanding the factors that affect water quality and the ecological services provided by freshwater ecosystems is an urgent global environmental issue. Predicting how water quality will respond to global changes not only requires water quality data, but also information about the ecological context of individual water bodies across broad spatial extents. Because lake water quality is usually sampled in limited geographic regions, often for limited time periods, assessing the environmental controls of water quality requires compilation of many data sets across broad regions and across time into an integrated database. LAGOS-NE accomplishes this goal for lakes in the northeastern-most 17 US states.</p><p>LAGOS-NE contains data for 51 101 lakes and reservoirs larger than 4 ha in 17 lake-rich US states. 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,{"id":70194758,"text":"70194758 - 2017 - Forecasting consequences of changing sea ice availability for Pacific walruses","interactions":[],"lastModifiedDate":"2018-08-20T17:40:05","indexId":"70194758","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting consequences of changing sea ice availability for Pacific walruses","docAbstract":"<p><span>The accelerating rate of anthropogenic alteration and disturbance of environments has increased the need for forecasting effects of environmental change on fish and wildlife populations. Models linking projections of environmental change with behavioral responses and bioenergetic effects can provide a basis for these forecasts. There is particular interest in forecasting effects of projected reductions in sea ice availability on Pacific walruses (</span><i>Odobenus rosmarus divergens</i><span>). Declining extent of summer sea ice in the Chukchi Sea has caused Pacific walruses to increase use of coastal haulouts and decrease use of more productive offshore feeding areas. Such climate-induced changes in distribution and behavior could ultimately affect the status of the population. We developed behavioral models to relate changes in sea ice availability to adult female walrus movements and activity levels, and adapted previously developed bioenergetics models to relate those activity levels to energy requirements and the ability to meet those requirements. We then linked these models to general circulation model projections of future ice availability to forecast autumn body condition for female walruses during mid- and late-century time periods. Our results suggest that as sea ice becomes less available in the Chukchi Sea, female walruses will spend more time in the southwestern region of that sea, less time resting, and less time foraging. Median forecasted autumn body masses were 7–12% lower in future scenarios than during recent times, but posterior distributions broadly overlapped and median forecasted seasonal mass losses (15–34%) were comparable to seasonal mass losses routinely experienced by other pinnipeds. These seasonal reductions in body condition would be unlikely to result in demographic effects, but if walruses were unable to rebuild endogenous reserves while wintering in the Bering Sea, cumulative effects could have implications for reproduction and survival, ultimately affecting the status of the Pacific walrus population. Our approach provides a general framework for forecasting consequences of the broad range of environmental changes and anthropogenic disturbances that may affect bioenergetics through behavioral responses or changes in prey availability.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2014","usgsCitation":"Udevitz, M.S., Jay, C.V., Taylor, R.L., Fischbach, A., Beatty, W.S., and Noren, S.R., 2017, Forecasting consequences of changing sea ice availability for Pacific walruses: Ecosphere, v. 8, no. 11, e02014, https://doi.org/10.1002/ecs2.2014.","productDescription":"e02014","ipdsId":"IP-088005","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469275,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2014","text":"Publisher Index Page"},{"id":438140,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7XG9Q2T","text":"USGS data release","linkHelpText":"Pacific Walrus Behavior Data and Associated Chukchi Sea Ice Observations and Projections for use with Bioenergetics Models to Forecast Walrus Body Condition"},{"id":350025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Chukchi Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -189.1845703125,\n              65.56754970214311\n            ],\n            [\n              -156.3134765625,\n              65.56754970214311\n            ],\n            [\n              -156.3134765625,\n              74.17607298699065\n            ],\n            [\n              -189.1845703125,\n              74.17607298699065\n            ],\n            [\n              -189.1845703125,\n              65.56754970214311\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-29","publicationStatus":"PW","scienceBaseUri":"5a60faf6e4b06e28e9c22a12","contributors":{"authors":[{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":725121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":725124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":725125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":200780,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony S.","email":"afischbach@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":725126,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":146301,"corporation":false,"usgs":false,"family":"Beatty","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":725122,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noren, Shawn R.","contributorId":127697,"corporation":false,"usgs":false,"family":"Noren","given":"Shawn","email":"","middleInitial":"R.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":725123,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70196776,"text":"70196776 - 2017 - Passive integrated transponder tags: Review of studies on warmwater fishes with notes on additional species","interactions":[],"lastModifiedDate":"2018-05-01T11:21:12","indexId":"70196776","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Passive integrated transponder tags: Review of studies on warmwater fishes with notes on additional species","docAbstract":"<p><span>Although numerous studies have assessed retention and survival of passive integrated transponder (PIT) tags, data are scattered and information gaps remain for many diminutive fishes. Our study objectives were to 1) systematically review PIT tag studies and summarize retention, growth, and survival data for warmwater fishes; and 2) conduct a laboratory study to evaluate the retention, survival, and growth effects of intracoelomic-placed, half duplex PIT tags on six small-bodied species common to warmwater streams. Our systematic review suggested small sample sizes were common within PIT tag retention and survival studies (39% with&nbsp;</span><i>n</i><span><span>&nbsp;</span>≤ 20) and that many experiments (15%, 14 of 97) failed to use control fish as part of their evaluations. Studies focused primarily on short-term changes (15 d to 2 y) in tag retention and survival. Tag retention was equal to or greater than 90% in 85% of the experiments reviewed and median survival was 92%. Growth was reported by fishes in the majority of reviewed studies. We found similar results after PIT tagging (peritoneum tagging using 12- or 23-mm half duplex tags) adult Cardinal Shiner<span>&nbsp;</span></span><i>Luxilus cardinalis</i><span>, Central Stoneroller<span>&nbsp;</span></span><i>Campostoma annomalum</i><span>, Greenside Darter<span>&nbsp;</span></span><i>Etheostoma blennioides</i><span>, Orangethroat Darter<span>&nbsp;</span></span><i>Etheostoma spectabile</i><span>, Slender Madtom<span>&nbsp;</span></span><i>Noturus exilis</i><span>, and juvenile Smallmouth Bass<span>&nbsp;</span></span><i>Micropterus dolomieu</i><span>. Tag retention for all species was high, with only one tag loss recorded after 60 d. Survival was also high (≥88%) for all of our species with the exception of Orangethroat Darter (56% survival). No significant difference in mean growth between treatment and control groups was found. Both our results and the findings of the literature review suggested generally high tag retention and low mortality in tagged fishes (across 31 species reviewed). However, within our study (e.g., Orangethroat Darter) and from the literature, examples of negative effects of PIT tagging on fishes were apparent, suggesting methodological testing is prudent before using PIT tags in field studies. We suggest future studies would benefit from addressing the behavioral implications that may be associated with tagging and examination of longer-term tag retention. Furthermore, standard reporting (i.e., sample sizes) in PIT tag studies would be beneficial, and use of control subjects or groups for statistical comparisons is needed.</span></p>","language":"English","publisher":"Scientific Journals","doi":"10.3996/122016-JFWM-091","usgsCitation":"Musselman, W.C., Worthington, T.A., Mouser, J., Williams, D.M., and Brewer, S.K., 2017, Passive integrated transponder tags: Review of studies on warmwater fishes with notes on additional species: Journal of Fish and Wildlife Management, v. 8, no. 2, p. 353-364, https://doi.org/10.3996/122016-JFWM-091.","productDescription":"12 p.","startPage":"353","endPage":"364","ipdsId":"IP-061286","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469276,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/122016-jfwm-091","text":"Publisher Index Page"},{"id":353870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-01","publicationStatus":"PW","scienceBaseUri":"5afee79de4b0da30c1bfc304","contributors":{"authors":[{"text":"Musselman, W. Chris","contributorId":204575,"corporation":false,"usgs":false,"family":"Musselman","given":"W.","email":"","middleInitial":"Chris","affiliations":[],"preferred":false,"id":734382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worthington, Thomas A.","contributorId":140662,"corporation":false,"usgs":false,"family":"Worthington","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":734383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mouser, Joshua","contributorId":171894,"corporation":false,"usgs":false,"family":"Mouser","given":"Joshua","affiliations":[],"preferred":false,"id":734384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Desiree M.","contributorId":204576,"corporation":false,"usgs":false,"family":"Williams","given":"Desiree","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":734385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":734323,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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