{"pageNumber":"1274","pageRowStart":"31825","pageSize":"25","recordCount":184827,"records":[{"id":70154786,"text":"70154786 - 2015 - High-throughput computing vs. high-performance computing for groundwater applications","interactions":[],"lastModifiedDate":"2015-07-03T14:05:51","indexId":"70154786","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"High-throughput computing vs. high-performance computing for groundwater applications","docAbstract":"No abstract available.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12320","usgsCitation":"Fienen, M., and Hunt, R.J., 2015, High-throughput computing vs. high-performance computing for groundwater applications: Groundwater, v. 53, no. 2, p. 180-184, https://doi.org/10.1111/gwat.12320.","startPage":"180","endPage":"184","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061023","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":305577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-28","publicationStatus":"PW","scienceBaseUri":"5597b22be4b021e11ea672e3","chorus":{"doi":"10.1111/gwat.12320","url":"http://dx.doi.org/10.1111/gwat.12320","publisher":"Wiley-Blackwell","authors":"Fienen Michael N., Hunt Randall J.","journalName":"Groundwater","publicationDate":"1/28/2015","auditedOn":"2/28/2015"},"contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":564150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":564151,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70154890,"text":"70154890 - 2015 - Using an experimental manipulation to determine the effectiveness of a stock enhancement program","interactions":[],"lastModifiedDate":"2015-09-16T09:56:26","indexId":"70154890","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3897,"text":"Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Using an experimental manipulation to determine the effectiveness of a stock enhancement program","docAbstract":"We used an experimental manipulation to determine the impact of stocking 178 mm channel catfish Ictalurus punctatus in six impoundments. The study design consisted of equal numbers (two) of control, ceased-stock, and stocked treatments that were sampled one year before and two years after stocking. Relative abundance, growth, size structure, and average weight significantly changed over time based on samples collected with hoop nets. Catch rates decreased at both ceased-stock lakes and increased for one stocked lake, while growth rates changed for at least one ceased-stock and stocked lake. The average weight of channel catfish in the ceased-stock treatment increased by 6% and 25%, whereas weight decreased by 28% and 78% in both stocked lakes. The variability in observed responses between lakes in both ceased-stock and stocked treatments indicates that a one-size-fits-all stocking agenda is impractical, suggesting lake specific and density-dependent mechanisms affect channel catfish population dynamics.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2015.1021715","usgsCitation":"Stewart, D., and Long, J.M., 2015, Using an experimental manipulation to determine the effectiveness of a stock enhancement program: Freshwater Ecology, https://doi.org/10.1080/02705060.2015.1021715.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056629","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472256,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2015.1021715","text":"Publisher Index Page"},{"id":308165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-18","publicationStatus":"PW","scienceBaseUri":"55fa92d6e4b05d6c4e501ae6","contributors":{"authors":[{"text":"Stewart, David R.","contributorId":141323,"corporation":false,"usgs":false,"family":"Stewart","given":"David R.","affiliations":[],"preferred":false,"id":572466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564317,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70154774,"text":"70154774 - 2015 - Turbidity, light, temperature, and hydropeaking control primary productivity in the Colorado River, Grand Canyon","interactions":[],"lastModifiedDate":"2022-11-14T17:37:39.358873","indexId":"70154774","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Turbidity, light, temperature, and hydropeaking control primary productivity in the Colorado River, Grand Canyon","docAbstract":"Dams and river regulation greatly alter the downstream environment for gross primary production (GPP) because of changes in water clarity, flow, and temperature regimes. We estimated reach-scale GPP in five locations of the regulated Colorado River in Grand Canyon using an open channel model of dissolved oxygen. Benthic GPP dominates in Grand Canyon due to fast transport times and low pelagic algal biomass. In one location, we used a 738 days time series of GPP to identify the relative contribution of different physical controls of GPP. We developed both linear and semimechanistic time series models that account for unmeasured temporal covariance due to factors such as algal biomass dynamics. GPP varied from 0 g O2 m−2 d−1 to 3.0 g O2 m−2 d−1 with a relatively low annual average of 0.8 g O2 m−2 d−1. Semimechanistic models fit the data better than linear models and demonstrated that variation in turbidity primarily controlled GPP. Lower solar insolation during winter and from cloud cover lowered GPP much further. Hydropeaking lowered GPP but only during turbid conditions. Using the best model and parameter values, the model accurately predicted seasonal estimates of GPP at 3 of 4 upriver sites and outperformed the linear model at all sites; discrepancies were likely from higher algal biomass at upstream sites. This modeling approach can predict how changes in physical controls will affect relative rates of GPP throughout the 385 km segment of the Colorado River in Grand Canyon and can be easily applied to other streams and rivers.
","language":"English","publisher":"Wiley","doi":"10.1002/lno.10031","usgsCitation":"Hall, R., Yackulic, C.B., Kennedy, T., Yard, M., Rosi-Marshall, E.J., Voichick, N., and Behn, K.E., 2015, Turbidity, light, temperature, and hydropeaking control primary productivity in the Colorado River, Grand Canyon: Limnology and Oceanography, v. 60, no. 2, p. 512-516, https://doi.org/10.1002/lno.10031.","productDescription":"5 p.","startPage":"512","endPage":"516","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056074","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472242,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10031","text":"Publisher Index Page"},{"id":306634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.97690643788997,\n 35.96223553892966\n ],\n [\n -111.95607071326728,\n 36.15089215745617\n ],\n [\n -112.47488025637692,\n 36.439732993660684\n ],\n [\n -113.00202408933613,\n 36.35587791388548\n ],\n [\n -113.62917940048527,\n 35.88968479994075\n ],\n [\n -113.53125149475788,\n 35.705479139380046\n ],\n [\n -113.28747351666969,\n 35.724088071319485\n ],\n [\n -113.16870988631914,\n 35.9959573825395\n ],\n [\n -112.61031246642614,\n 36.256812611305506\n ],\n [\n -111.97690643788997,\n 35.96223553892966\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-30","publicationStatus":"PW","scienceBaseUri":"55cdbfc0e4b08400b1fe1456","chorus":{"doi":"10.1002/lno.10031","url":"http://dx.doi.org/10.1002/lno.10031","publisher":"Wiley-Blackwell","authors":"Hall Robert O., Yackulic Charles B., Kennedy Theodore A., Yard Michael D., Rosi-Marshall Emma J., Voichick Nicholas, Behn Kathrine E.","journalName":"Limnology and Oceanography","publicationDate":"1/30/2015","auditedOn":"1/29/2017","publiclyAccessibleDate":"1/30/2015"},"contributors":{"authors":[{"text":"Hall, Robert O. Jr.","contributorId":145459,"corporation":false,"usgs":false,"family":"Hall","given":"Robert O.","suffix":"Jr.","affiliations":[{"id":16121,"text":"Uni. of Wyoming, Department of Zoology and Physiology","active":true,"usgs":false}],"preferred":false,"id":564095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":564094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Theodore A. tkennedy@usgs.gov","contributorId":140027,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","email":"tkennedy@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":564096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yard, Michael D. 0000-0002-6580-6027 myard@usgs.gov","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":2889,"corporation":false,"usgs":true,"family":"Yard","given":"Michael D.","email":"myard@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":564097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosi-Marshall, Emma J.","contributorId":17722,"corporation":false,"usgs":true,"family":"Rosi-Marshall","given":"Emma","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":564098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Voichick, Nicholas nvoichick@usgs.gov","contributorId":5015,"corporation":false,"usgs":true,"family":"Voichick","given":"Nicholas","email":"nvoichick@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":564099,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Behn, Kathrine E.","contributorId":83839,"corporation":false,"usgs":true,"family":"Behn","given":"Kathrine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":564100,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70156234,"text":"70156234 - 2015 - Equation-free modeling unravels the behavior of complex ecological systems","interactions":[],"lastModifiedDate":"2015-08-19T10:55:00","indexId":"70156234","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Equation-free modeling unravels the behavior of complex ecological systems","docAbstract":"Ye et al. (1) address a critical problem confronting the management of natural ecosystems: How can we make forecasts of possible future changes in populations to help guide management actions? This problem is especially acute for marine and anadromous fisheries, where the large interannual fluctuations of populations, arising from complex nonlinear interactions among species and with varying environmental factors, have defied prediction over even short time scales. The empirical dynamic modeling (EDM) described in Ye et al.’s report, the latest in a series of papers by Sugihara and his colleagues, offers a promising quantitative approach to building models using time series to successfully project dynamics into the future. With the term “equation-free” in the article title, Ye et al. (1) are suggesting broader implications of their approach, considering the centrality of equations in modern science. From the 1700s on, nature has been increasingly described by mathematical equations, with differential or difference equations forming the basic framework for describing dynamics. The use of mathematical equations for ecological systems came much later, pioneered by Lotka and Volterra, who showed that population cycles might be described in terms of simple coupled nonlinear differential equations. It took decades for Lotka–Volterra-type models to become established, but the development of appropriate differential equations is now routine in modeling ecological dynamics. There is no question that the injection of mathematical equations, by forcing “clarity and precision into conjecture” (2), has led to increased understanding of population and community dynamics. As in science in general, in ecology equations are a key method of communication and of framing hypotheses. These equations serve as compact representations of an enormous amount of empirical data and can be analyzed by the powerful methods of mathematics.
","language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1073/pnas.1503154112","usgsCitation":"DeAngelis, D., and Yurek, S., 2015, Equation-free modeling unravels the behavior of complex ecological systems: PNAS, v. 112, no. 13, p. 3856-3857, https://doi.org/10.1073/pnas.1503154112.","productDescription":"2 p.","startPage":"3856","endPage":"3857","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063709","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":472255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1503154112","text":"Publisher Index Page"},{"id":306924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"13","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-17","publicationStatus":"PW","scienceBaseUri":"55d5a8afe4b0518e3546a4be","chorus":{"doi":"10.1073/pnas.1503154112","url":"http://dx.doi.org/10.1073/pnas.1503154112","publisher":"Proceedings of the National Academy of Sciences","authors":"DeAngelis Donald L., Yurek Simeon","journalName":"Proceedings of the National Academy of Sciences","publicationDate":"3/17/2015"},"contributors":{"authors":[{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":138934,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","email":"don_deangelis@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":568114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yurek, Simeon 0000-0002-6209-7915 syurek@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":103167,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","email":"syurek@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":568568,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189099,"text":"70189099 - 2015 - Multiscale geophysical imaging of the critical zone","interactions":[],"lastModifiedDate":"2017-06-29T16:09:51","indexId":"70189099","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Multiscale geophysical imaging of the critical zone","docAbstract":"Details of Earth's shallow subsurface—a key component of the critical zone (CZ)—are largely obscured because making direct observations with sufficient density to capture natural characteristic spatial variability in physical properties is difficult. Yet this inaccessible region of the CZ is fundamental to processes that support ecosystems, society, and the environment. Geophysical methods provide a means for remotely examining CZ form and function over length scales that span centimeters to kilometers. Here we present a review highlighting the application of geophysical methods to CZ science research questions. In particular, we consider the application of geophysical methods to map the geometry of structural features such as regolith thickness, lithological boundaries, permafrost extent, snow thickness, or shallow root zones. Combined with knowledge of structure, we discuss how geophysical observations are used to understand CZ processes. Fluxes between snow, surface water, and groundwater affect weathering, groundwater resources, and chemical and nutrient exports to rivers. The exchange of gas between soil and the atmosphere have been studied using geophysical methods in wetland areas. Indirect geophysical methods are a natural and necessary complement to direct observations obtained by drilling or field mapping. Direct measurements should be used to calibrate geophysical estimates, which can then be used to extrapolate interpretations over larger areas or to monitor changing processes over time. Advances in geophysical instrumentation and computational approaches for integrating different types of data have great potential to fill gaps in our understanding of the shallow subsurface portion of the CZ and should be integrated where possible in future CZ research.
","language":"English","publisher":"AGU","doi":"10.1002/2014RG000465","usgsCitation":"Parsekian, A., Singha, K., Minsley, B.J., Holbrook, W.S., and Slater, L., 2015, Multiscale geophysical imaging of the critical zone: Reviews of Geophysics, v. 53, no. 1, p. 1-26, https://doi.org/10.1002/2014RG000465.","productDescription":"26 p.","startPage":"1","endPage":"26","ipdsId":"IP-057640","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-22","publicationStatus":"PW","scienceBaseUri":"595611bbe4b0d1f9f050677e","contributors":{"authors":[{"text":"Parsekian, Andy","contributorId":194003,"corporation":false,"usgs":false,"family":"Parsekian","given":"Andy","email":"","affiliations":[],"preferred":false,"id":702866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Singha, Kamini 0000-0002-0605-3774","orcid":"https://orcid.org/0000-0002-0605-3774","contributorId":191366,"corporation":false,"usgs":false,"family":"Singha","given":"Kamini","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":702867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702865,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holbrook, W. Steven","contributorId":175481,"corporation":false,"usgs":false,"family":"Holbrook","given":"W.","email":"","middleInitial":"Steven","affiliations":[],"preferred":false,"id":702868,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Slater, Lee","contributorId":55707,"corporation":false,"usgs":false,"family":"Slater","given":"Lee","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":702869,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70136288,"text":"70136288 - 2015 - Two magma bodies beneath the summit of Kilauea Volcano unveiled by isotopically distinct melt deliveries from the mantle","interactions":[],"lastModifiedDate":"2016-07-11T13:52:03","indexId":"70136288","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Two magma bodies beneath the summit of Kilauea Volcano unveiled by isotopically distinct melt deliveries from the mantle","docAbstract":"The summit magma storage reservoir of Kīlauea Volcano is one of the most important components of the magmatic plumbing system of this frequently active basaltic shield-building volcano. Here we use new high-precision Pb isotopic analyses of Kīlauea summit lavas—from 1959 to the active Halema‘uma‘u lava lake—to infer the number, size, and interconnectedness of magma bodies within the volcano's summit reservoir. From 1971 to 1982, the 206Pb/204Pb ratios of the lavas define two separate magma mixing trends that correlate with differences in vent location and/or pre-eruptive magma temperature. These relationships, which contrast with a single magma mixing trend for lavas from 1959 to 1968, indicate that Kīlauea summit eruptions since at least 1971 were supplied from two distinct magma bodies. The locations of these magma bodies are inferred to coincide with two major deformation centers identified by geodetic monitoring of the volcano's summit region: (1) the main locus of the summit reservoir ∼2–4 km below the southern rim of Kīlauea Caldera and (2) a shallower magma body <2 km below the eastern rim of Halema‘uma‘u pit crater. Residence time modeling suggests that the total volume of magma within Kīlauea's summit reservoir during the late 20th century (1959–1982) was exceedingly small (∼0.1–0.5 km3). Voluminous Kīlauea eruptions, such as the ongoing, 32-yr old Pu‘u ‘Ō‘ō rift eruption (>4 km3 of lava erupted), must therefore be sustained by a nearly continuous supply of new melt from the mantle. The model results show that a minimum of four compositionally distinct, mantle-derived magma batches were delivered to the volcano (at least three directly to the summit reservoir) since 1959. These melt inputs correlate with the initiation of energetic (1959 Kīlauea Iki) and/or sustained (1969–1974 Mauna Ulu, 1983-present Pu‘u ‘Ō‘ō and 2008-present Halema‘uma‘u) eruptions. Thus, Kīlauea's eruptive behavior is partly tied to the delivery of new magma batches from the volcano's source region within the Hawaiian mantle plume.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2014.12.040","usgsCitation":"Pietruszka, A.J., Heaton, D.E., Marske, J.P., and Garcia, M.O., 2015, Two magma bodies beneath the summit of Kilauea Volcano unveiled by isotopically distinct melt deliveries from the mantle: Earth and Planetary Science Letters, v. 413, p. 90-100, https://doi.org/10.1016/j.epsl.2014.12.040.","productDescription":"11 p.","startPage":"90","endPage":"100","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053879","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":325028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.20042419433594,\n 19.344188652729514\n ],\n [\n -155.20042419433594,\n 19.38451428768728\n ],\n [\n -155.12231826782227,\n 19.38451428768728\n ],\n [\n -155.12231826782227,\n 19.344188652729514\n ],\n [\n -155.20042419433594,\n 19.344188652729514\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"413","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5784c346e4b0e02680be59f6","contributors":{"authors":[{"text":"Pietruszka, Aaron J. 0000-0002-2826-9509 apietruszka@usgs.gov","orcid":"https://orcid.org/0000-0002-2826-9509","contributorId":4552,"corporation":false,"usgs":true,"family":"Pietruszka","given":"Aaron","email":"apietruszka@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":537306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heaton, Daniel E.","contributorId":172800,"corporation":false,"usgs":false,"family":"Heaton","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":642121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marske, Jared P.","contributorId":172801,"corporation":false,"usgs":false,"family":"Marske","given":"Jared","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":642122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Michael O.","contributorId":51636,"corporation":false,"usgs":true,"family":"Garcia","given":"Michael","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":642123,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173610,"text":"70173610 - 2015 - Modeling risk of pneumonia epizootics in bighorn sheep","interactions":[],"lastModifiedDate":"2016-06-09T15:59:48","indexId":"70173610","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Modeling risk of pneumonia epizootics in bighorn sheep","docAbstract":"Pneumonia epizootics are a major challenge for management of bighorn sheep (Ovis canadensis) affecting persistence of herds, satisfaction of stakeholders, and allocations of resources by management agencies. Risk factors associated with the disease are poorly understood, making pneumonia epizootics hard to predict; such epizootics are thus managed reactively rather than proactively. We developed a model for herds in Montana that identifies risk factors and addresses biological questions about risk. Using Bayesian logistic regression with repeated measures, we found that private land, weed control using domestic sheep or goats, pneumonia history, and herd density were positively associated with risk of pneumonia epizootics in 43 herds that experienced 22 epizootics out of 637 herd-years from 1979–2013. We defined an area of high risk for pathogen exposure as the area of each herd distribution plus a 14.5-km buffer from that boundary. Within this area, the odds of a pneumonia epizootic increased by >1.5 times per additional unit of private land (unit is the standardized % of private land where global ![\"inline](\"http://onlinelibrary.wiley.com/store/10.1002/jwmg.824/asset/equation/jwmg824-math-0001.gif?v=1&t=ip8saaca&s=fdeb51dcf0a30d35ed9230feb228854b91c6cd53\")
= 25.58% and SD = 14.53%). Odds were >3.3 times greater if domestic sheep or goats were used for weed control in a herd's area of high risk. If a herd or its neighbors within the area of high risk had a history of a pneumonia epizootic, odds of a subsequent pneumonia epizootic were >10 times greater. Risk greatly increased when herds were at high density, with nearly 15 times greater odds of a pneumonia epizootic compared to when herds were at low density. Odds of a pneumonia epizootic also appeared to decrease following increased spring precipitation (odds = 0.41 per unit increase, global ![\"inline](\"http://onlinelibrary.wiley.com/store/10.1002/jwmg.824/asset/equation/jwmg824-math-0002.gif?v=1&t=ip8saacb&s=780701fc1c3b1dbbb130e63b3930254bb91f4a97\")
= 100.18% and SD = 26.97%). Risk was not associated with number of federal sheep and goat allotments, proximity to nearest herds of bighorn sheep, ratio of rams to ewes, percentage of average winter precipitation, or whether herds were of native versus mixed or reintroduced origin. We conclude that factors associated with risk of pneumonia epizootics are complex and may not always be from the most obvious sources. The ability to identify high-risk herds will help biologists and managers determine where to focus management efforts and the risk factors that most affect each herd, facilitating more effective, proactive management.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.824","usgsCitation":"Sells, S.N., Mitchell, M.S., Nowak, J.J., Lukacs, P.M., Anderson, N.J., Ramsey, J.M., Gude, J., and Krausman, P.R., 2015, Modeling risk of pneumonia epizootics in bighorn sheep: Journal of Wildlife Management, v. 79, no. 2, p. 195-210, https://doi.org/10.1002/jwmg.824.","productDescription":"16 p.","startPage":"195","endPage":"210","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057280","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-13","publicationStatus":"PW","scienceBaseUri":"575a9334e4b04f417c275168","contributors":{"authors":[{"text":"Sells, Sarah N.","contributorId":171706,"corporation":false,"usgs":false,"family":"Sells","given":"Sarah","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":638343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nowak, J. Joshua","contributorId":171707,"corporation":false,"usgs":false,"family":"Nowak","given":"J.","email":"","middleInitial":"Joshua","affiliations":[],"preferred":false,"id":638344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lukacs, Paul M.","contributorId":101240,"corporation":false,"usgs":true,"family":"Lukacs","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":638345,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Neil J.","contributorId":85870,"corporation":false,"usgs":true,"family":"Anderson","given":"Neil","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638346,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ramsey, Jennifer M.","contributorId":88254,"corporation":false,"usgs":true,"family":"Ramsey","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":638347,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gude, Justin A.","contributorId":95780,"corporation":false,"usgs":true,"family":"Gude","given":"Justin A.","affiliations":[],"preferred":false,"id":638348,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krausman, Paul R.","contributorId":31467,"corporation":false,"usgs":true,"family":"Krausman","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":638349,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70175335,"text":"70175335 - 2015 - Landscape community genomics: understanding eco-evolutionary processes in complex environments","interactions":[],"lastModifiedDate":"2017-05-03T13:39:18","indexId":"70175335","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Landscape community genomics: understanding eco-evolutionary processes in complex environments","docAbstract":"Extrinsic factors influencing evolutionary processes are often categorically lumped into interactions that are environmentally (e.g., climate, landscape) or community-driven, with little consideration of the overlap or influence of one on the other. However, genomic variation is strongly influenced by complex and dynamic interactions between environmental and community effects. Failure to consider both effects on evolutionary dynamics simultaneously can lead to incomplete, spurious, or erroneous conclusions about the mechanisms driving genomic variation. We highlight the need for a landscape community genomics (LCG) framework to help to motivate and challenge scientists in diverse fields to consider a more holistic, interdisciplinary perspective on the genomic evolution of multi-species communities in complex environments.
","language":"English","publisher":"Cell Press","doi":"10.1016/j.tree.2015.01.005","usgsCitation":"Hand, B.K., Lowe, W.H., Kovach, R.P., Muhlfeld, C.C., and Luikart, G., 2015, Landscape community genomics: understanding eco-evolutionary processes in complex environments: Trends in Ecology and Evolution, v. 30, no. 3, p. 161-168, https://doi.org/10.1016/j.tree.2015.01.005.","productDescription":"8 p.","startPage":"161","endPage":"168","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060258","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":326116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a5b8c7e4b0ebae89b7894c","contributors":{"authors":[{"text":"Hand, Brian K.","contributorId":145915,"corporation":false,"usgs":false,"family":"Hand","given":"Brian","email":"","middleInitial":"K.","affiliations":[{"id":16296,"text":"University of Montana, Polson Montana 59860 USA","active":true,"usgs":false}],"preferred":false,"id":644761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, Winsor H.","contributorId":126722,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor","email":"","middleInitial":"H.","affiliations":[{"id":6577,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, 59812, USA.","active":true,"usgs":false}],"preferred":false,"id":644762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kovach, Ryan P. rkovach@usgs.gov","contributorId":5772,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","middleInitial":"P.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":644763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":644764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luikart, Gordon","contributorId":145746,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","email":"","affiliations":[{"id":16220,"text":"Flathead Lake Biological Station, Div. Biological Science, UM","active":true,"usgs":false}],"preferred":false,"id":644765,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70174829,"text":"70174829 - 2015 - Quantifying suspended sediment loads delivered to Cheney Reservoir, Kansas: Temporal patterns and management implications","interactions":[],"lastModifiedDate":"2016-07-18T11:37:50","indexId":"70174829","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying suspended sediment loads delivered to Cheney Reservoir, Kansas: Temporal patterns and management implications","docAbstract":"Cheney Reservoir, constructed during 1962 to 1965, is the primary water supply for the city of Wichita, the largest city in Kansas. Sediment is an important concern for the reservoir as it degrades water quality and progressively decreases water storage capacity. Long-term data collection provided a unique opportunity to estimate the annual suspended sediment loads for the entire history of the reservoir. To quantify and characterize sediment loading to Cheney Reservoir, discrete suspended sediment samples and continuously measured streamflow data were collected from the North Fork Ninnescah River, the primary inflow to Cheney Reservoir, over a 48-year period. Continuous turbidity data also were collected over a 15-year period. These data were used together to develop simple linear regression models to compute continuous suspended sediment concentrations and loads from 1966 to 2013. The inclusion of turbidity as an additional explanatory variable with streamflow improved regression model diagnostics and increased the amount of variability in suspended sediment concentration explained by 14%. Using suspended sediment concentration from the streamflow-only model, the average annual suspended sediment load was 102,517 t (113,006 tn) and ranged from 4,826 t (5,320 tn) in 1966 to 967,569 t (1,066,562 tn) in 1979. The sediment load in 1979 accounted for about 20% of the total load over the 48-year history of the reservoir and 92% of the 1979 sediment load occurred in one 24-hour period during a 1% annual exceedance probability flow event (104-year flood). Nearly 60% of the reservoir sediment load during the 48-year study period occurred in 5 years with extreme flow events (9% to 1% annual exceedance probability, or 11- to 104-year flood events). A substantial portion (41%) of sediment was transported to the reservoir during five storm events spanning only eight 24-hour periods during 1966 to 2013. Annual suspended sediment load estimates based on streamflow were, on average, within ±20% of estimates based on streamflow and turbidity combined. Results demonstrate that large suspended sediment loads are delivered to Cheney Reservoir in very short time periods, indicating that sediment management plans eventually must address large, infrequent inflow events to be effective.
","language":"English","publisher":"Soil and Water Conservation Society","doi":"10.2489/jswc.70.2.91","usgsCitation":"Stone, M.L., Juracek, K.E., Graham, J., and Foster, G.M., 2015, Quantifying suspended sediment loads delivered to Cheney Reservoir, Kansas: Temporal patterns and management implications: Journal of Soil and Water Conservation, v. 70, no. 2, p. 91-100, https://doi.org/10.2489/jswc.70.2.91.","productDescription":"10 p.","startPage":"91","endPage":"100","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058102","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":472250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2489/jswc.70.2.91","text":"Publisher Index Page"},{"id":325358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"Cheney Reservoir Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.0692138671875,\n 37.67077737288316\n ],\n [\n -99.0692138671875,\n 38.01564013749379\n ],\n [\n -97.77145385742188,\n 38.01564013749379\n ],\n [\n -97.77145385742188,\n 37.67077737288316\n ],\n [\n -99.0692138671875,\n 37.67077737288316\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"70","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-12","publicationStatus":"PW","scienceBaseUri":"578dfdb8e4b0f1bea0e0f8e1","contributors":{"authors":[{"text":"Stone, Mandy L. 0000-0002-6711-1536 mstone@usgs.gov","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":4409,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"mstone@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":642667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":642668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":150737,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer L.","email":"jlgraham@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":642669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Guy M. 0000-0002-9581-057X gfoster@usgs.gov","orcid":"https://orcid.org/0000-0002-9581-057X","contributorId":149145,"corporation":false,"usgs":true,"family":"Foster","given":"Guy","email":"gfoster@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642670,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70171532,"text":"70171532 - 2015 - Uranium isotopes and dissolved organic carbon in loess permafrost: Modeling the age of ancient ice","interactions":[],"lastModifiedDate":"2016-06-02T09:30:58","indexId":"70171532","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Uranium isotopes and dissolved organic carbon in loess permafrost: Modeling the age of ancient ice","docAbstract":"The residence time of ice in permafrost is an indicator of past climate history, and of the resilience and vulnerability of high-latitude ecosystems to global change. Development of geochemical indicators of ground-ice residence times in permafrost will advance understanding of the circumstances and evidence of permafrost formation, preservation, and thaw in response to climate warming and other disturbance. We used uranium isotopes to evaluate the residence time of segregated ground ice from ice-rich loess permafrost cores in central Alaska. Activity ratios of 234U vs. 238U (234U/238U) in water from thawed core sections ranged between 1.163 and 1.904 due to contact of ice and associated liquid water with mineral surfaces over time. Measured (234U/238U) values in ground ice showed an overall increase with depth in a series of five neighboring cores up to 21 m deep. This is consistent with increasing residence time of ice with depth as a result of accumulation of loess over time, as well as characteristic ice morphologies, high segregated ice content, and wedge ice, all of which support an interpretation of syngenetic permafrost formation associated with loess deposition. At the same time, stratigraphic evidence indicates some past sediment redistribution and possibly shallow thaw among cores, with local mixing of aged thaw waters. Using measures of surface area and a leaching experiment to determine U distribution, a geometric model of (234U/238U) evolution suggests mean ages of up to ∼200 ky BP in the deepest core, with estimated uncertainties of up to an order of magnitude. Evidence of secondary coatings on loess grains with elevated (234U/238U) values and U concentrations suggests that refinement of the geometric model to account for weathering processes is needed to reduce uncertainty. We suggest that in this area of deep ice-rich loess permafrost, ice bodies have been preserved from the last glacial period (10–100 ky BP), despite subsequent fluctuations in climate, fire disturbance and vegetation. Radiocarbon (14C) analysis of dissolved organic carbon (DOC) in thaw waters supports ages greater than ∼40 ky BP below 10 m. DOC concentrations in thaw waters increased with depth to maxima of >1000 ppm, despite little change in ice content or cryostructures. These relations suggest time-dependent production of old DOC that will be released upon permafrost thaw at a rate that is mediated by sediment transport, among other factors.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2014.11.008","usgsCitation":"Ewing, S.A., Paces, J.B., O'Donnell, J., Jorgenson, M., Kanevskiy, M., Aiken, G.R., Shur, Y., Harden, J.W., and Striegl, R.G., 2015, Uranium isotopes and dissolved organic carbon in loess permafrost: Modeling the age of ancient ice: Geochimica et Cosmochimica Acta, v. 152, p. 143-165, https://doi.org/10.1016/j.gca.2014.11.008.","productDescription":"23 p.","startPage":"143","endPage":"165","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052832","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472249,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/9102","text":"External Repository"},{"id":322077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Hess Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -150.721435546875,\n 65.09989850223572\n ],\n [\n -150.721435546875,\n 66.09381676305271\n ],\n [\n -146.546630859375,\n 66.09381676305271\n ],\n [\n -146.546630859375,\n 65.09989850223572\n ],\n [\n -150.721435546875,\n 65.09989850223572\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"152","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575158bde4b053f0edd03ca0","chorus":{"doi":"10.1016/j.gca.2014.11.008","url":"http://dx.doi.org/10.1016/j.gca.2014.11.008","publisher":"Elsevier BV","authors":"Ewing S.A., Paces J.B., O’Donnell J.A., Jorgenson M.T., Kanevskiy M.Z., Aiken G.R., Shur Y., Harden J.W., Striegl R.","journalName":"Geochimica et Cosmochimica Acta","publicationDate":"3/2015","auditedOn":"2/28/2015"},"contributors":{"authors":[{"text":"Ewing, Stephanie A.","contributorId":50065,"corporation":false,"usgs":true,"family":"Ewing","given":"Stephanie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":631626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":631627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Donnell, J.A.","contributorId":166674,"corporation":false,"usgs":false,"family":"O'Donnell","given":"J.A.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":631628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jorgenson, M.T.","contributorId":26889,"corporation":false,"usgs":true,"family":"Jorgenson","given":"M.T.","affiliations":[],"preferred":false,"id":631629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kanevskiy, M.Z.","contributorId":53603,"corporation":false,"usgs":true,"family":"Kanevskiy","given":"M.Z.","affiliations":[],"preferred":false,"id":631630,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631631,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shur, Y.","contributorId":29642,"corporation":false,"usgs":true,"family":"Shur","given":"Y.","affiliations":[],"preferred":false,"id":631632,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":631633,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":631625,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70145366,"text":"70145366 - 2015 - Phreatomagmatic and related eruption styles","interactions":[],"lastModifiedDate":"2015-10-29T16:28:52","indexId":"70145366","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Phreatomagmatic and related eruption styles","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Encyclopedia of Volcanoes","language":"English","publisher":"Elsevier","usgsCitation":"Houghton, B.F., White, J.D., and Van Eaton, A., 2015, Phreatomagmatic and related eruption styles, chap. of The Encyclopedia of Volcanoes, p. 537-552.","productDescription":"16 p.","startPage":"537","endPage":"552","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064273","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":310781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5633433fe4b048076347eed8","contributors":{"authors":[{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":544165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, James DL","contributorId":140078,"corporation":false,"usgs":false,"family":"White","given":"James","email":"","middleInitial":"DL","affiliations":[{"id":13378,"text":"University of Otago, New Zealand","active":true,"usgs":false}],"preferred":false,"id":544166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":140076,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa R.","email":"avaneaton@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":544164,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176209,"text":"70176209 - 2015 - Thermal maturity of Tasmanites microfossils from confocal laser scanning fluorescence microscopy","interactions":[],"lastModifiedDate":"2016-09-01T16:24:09","indexId":"70176209","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1709,"text":"Fuel","active":true,"publicationSubtype":{"id":10}},"title":"Thermal maturity of Tasmanites microfossils from confocal laser scanning fluorescence microscopy","docAbstract":"We report here, for the first time, spectral properties of Tasmanites microfossils determined by confocal laser scanning fluorescence microscopy (CLSM, using Ar 458 nm excitation). The Tasmanites occur in a well-characterized natural maturation sequence (Ro 0.48–0.74%) of Devonian shale (n = 3 samples) from the Appalachian Basin. Spectral property λmax shows excellent agreement (r2 = 0.99) with extant spectra from interlaboratory studies which used conventional fluorescence microscopy techniques. This result suggests spectral measurements from CLSM can be used to infer thermal maturity of fluorescent organic materials in geologic samples. Spectra of regions with high fluorescence intensity at fold apices and flanks in individual Tasmanites are blue-shifted relative to less-deformed areas in the same body that have lower fluorescence intensity. This is interpreted to result from decreased quenching moiety concentration at these locations, and indicates caution is needed in the selection of measurement regions in conventional fluorescence microscopy, where it is common practice to select high intensity regions for improved signal intensity and better signal to noise ratios. This study also documents application of CLSM to microstructural characterization of Tasmanites microfossils. Finally, based on an extant empirical relation between conventional λmax values and bitumen reflectance, λmax values from CLSM of Tasmanites microfossils can be used to calculate a bitumen reflectance equivalent value. The results presented herein can be used as a basis to broaden the future application of CLSM in the geological sciences into hydrocarbon prospecting and basin analysis.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fuel.2014.11.052","usgsCitation":"Hackley, P.C., and Kus, J., 2015, Thermal maturity of Tasmanites microfossils from confocal laser scanning fluorescence microscopy: Fuel, v. 143, p. 343-350, https://doi.org/10.1016/j.fuel.2014.11.052.","productDescription":"8 p.","startPage":"343","endPage":"350","ipdsId":"IP-059699","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":328206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c95131e4b0f2f0cec15c08","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Jolanta","contributorId":42893,"corporation":false,"usgs":true,"family":"Kus","given":"Jolanta","email":"","affiliations":[],"preferred":false,"id":647806,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70159362,"text":"70159362 - 2015 - Behavioral responses of freshwater mussels to experimental dewatering","interactions":[],"lastModifiedDate":"2019-12-11T15:52:22","indexId":"70159362","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","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":"Behavioral responses of freshwater mussels to experimental dewatering","docAbstract":"Understanding the effects of flow alteration on freshwater ecosystems is critical for predicting species responses and restoring appropriate flow regimes. We experimentally evaluated the effects of 3 dewatering rates on behavior of 6 freshwater mussel species in the context of water-removal rates observed in 21 Atlantic Coast rivers. Horizontal movement differed significantly among species and dewatering rates, but a significant species × dewatering interaction suggested that these factors influence movement in complex ways. Species differences in movement were evident only in controls and under slow dewatering rates, but these differences disappeared at moderate and fast dewatering rates. Burrowing behavior did not differ with respect to species identity or dewatering rate. The proportion of individuals that became stranded did not differ among species, but most individuals became stranded under low and moderate dewatering, and all individuals became stranded under fast dewatering. Mortality after stranding differed strongly among species along a gradient from 25% inPyganodon cataracta to 92% in Alasmidonta marginata. Together, these results suggest that species behavior may differ under gradual dewatering, but all species in our study are poorly adapted for rapid dewatering. Most of the 21 rivers we assessed experienced dewatering events comparable to our moderate rate, and several experienced events comparable to our fast rate. Dewatering events that exceed the movement or survival capability of most mussel species can be expected to result in assemblage-wide impacts. Consequently, the rate of water level change may be important in refining target flow conditions for restoration.
","language":"English","publisher":"Society for Freshwater Science","doi":"10.1086/679446","usgsCitation":"Galbraith, H.S., Blakeslee, C.J., and Lellis, W.A., 2015, Behavioral responses of freshwater mussels to experimental dewatering: Freshwater Science, v. 34, no. 1, p. 42-52, https://doi.org/10.1086/679446.","productDescription":"11 p.","startPage":"42","endPage":"52","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060817","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":310770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, Pennsylvania","otherGeospatial":"Lake Nessmuk, North Branch Susquehanna River, Paulins Kill River, Pine Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.266357421875,\n 40.38002840251183\n ],\n [\n -75.35522460937499,\n 40.38002840251183\n ],\n [\n -75.35522460937499,\n 42.00032514831621\n ],\n [\n -79.266357421875,\n 42.00032514831621\n ],\n [\n -79.266357421875,\n 40.38002840251183\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5633432ee4b048076347eeb1","contributors":{"authors":[{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":578225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blakeslee, Carrie J. 0000-0002-0801-5325 cblakeslee@usgs.gov","orcid":"https://orcid.org/0000-0002-0801-5325","contributorId":5462,"corporation":false,"usgs":true,"family":"Blakeslee","given":"Carrie","email":"cblakeslee@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":578226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lellis, William A. 0000-0001-7806-2904 wlellis@usgs.gov","orcid":"https://orcid.org/0000-0001-7806-2904","contributorId":2369,"corporation":false,"usgs":true,"family":"Lellis","given":"William","email":"wlellis@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":578227,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192863,"text":"70192863 - 2015 - Reservoir area of influence and implications for fisheries management","interactions":[],"lastModifiedDate":"2017-11-08T11:34:50","indexId":"70192863","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Reservoir area of influence and implications for fisheries management","docAbstract":"Understanding the spatial area that a reservoir draws anglers from, defined as the reservoir's area of influence, and the potential overlap of that area of influence between reservoirs is important for fishery managers. Our objective was to define the area of influence for reservoirs of the Salt Valley regional fishery in southeastern Nebraska using kernel density estimation. We used angler survey data obtained from in-person interviews at 17 reservoirs during 2009–2012. The area of influence, defined by the 95% kernel density, for reservoirs within the Salt Valley regional fishery varied, indicating that anglers use reservoirs differently across the regional fishery. Areas of influence reveal angler preferences in a regional context, indicating preferred reservoirs with a greater area of influence. Further, differences in areas of influences across time and among reservoirs can be used as an assessment following management changes on an individual reservoir or within a regional fishery. Kernel density estimation provided a clear method for creating spatial maps of areas of influence and provided a two-dimensional view of angler travel, as opposed to the traditional mean travel distance assessment.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2014.975299","usgsCitation":"Martin, D., Chizinski, C.J., and Pope, K.L., 2015, Reservoir area of influence and implications for fisheries management: North American Journal of Fisheries Management, v. 35, no. 2, p. 185-190, https://doi.org/10.1080/02755947.2014.975299.","productDescription":"6 p.","startPage":"185","endPage":"190","ipdsId":"IP-053254","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.04635620117188,\n 40.561807971278185\n ],\n [\n -96.54510498046875,\n 40.561807971278185\n ],\n [\n -96.54510498046875,\n 41.19932314127607\n ],\n [\n -97.04635620117188,\n 41.19932314127607\n ],\n [\n -97.04635620117188,\n 40.561807971278185\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-16","publicationStatus":"PW","scienceBaseUri":"5a0425c3e4b0dc0b45b4540d","contributors":{"authors":[{"text":"Martin, Dustin R.","contributorId":43482,"corporation":false,"usgs":true,"family":"Martin","given":"Dustin R.","affiliations":[],"preferred":false,"id":721095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chizinski, Christopher J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717241,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70155113,"text":"70155113 - 2015 - Identifying the location and population served by domestic wells in California","interactions":[],"lastModifiedDate":"2015-08-05T13:10:48","indexId":"70155113","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Identifying the location and population served by domestic wells in California","docAbstract":"Study region
\nCalifornia, USA.
\nStudy focus
\nIdentification of groundwater use is an important step in the regional-scale assessment of groundwater quality. In California, 1990 US Census data indicate that domestic wells provide drinking-water to about 1.2 million people. However, the location of these domestic well users of groundwater is poorly identified because the census tracts can be quite large (up to 20,000 km2). The purposes of this paper are to present methods used for (1) estimating the location of domestic wells, (2) estimating the location of households using domestic well water; and (3) identifying where in California groundwater is an important source of domestic drinking supply.
\nNew hydrological insights for the region
\nAggregating the results indicates that three hydrogeologic provinces contain nearly 80% of all domestic wells and also have the highest density of domestic well users: Central Valley (31.6%), Sierra Nevada (31.5%), and Northern Coast Ranges (16.6%). Results were also aggregated into groundwater basins and highland areas, collectively called Groundwater Units (GUs). Twenty-eight of the 938 GUs contain more than 50% of the total population served by domestic wells, 70 GUs contain more than 75%, and 150 GUs contain 90%. The 28 GUs are mostly located in the eastern and southern San Joaquin Valley (11), the Sacramento Valley (7), and the western foothills of the Sierra Nevada province (5). Using the information presented in this research along with other information about domestic-well use, the US Geological Survey has begun sampling high-use GUs for the Shallow Aquifer Assessment component of the Groundwater Ambient Assessment (GAMA) program.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2014.09.002","usgsCitation":"Johnson, T.D., and Belitz, K., 2015, Identifying the location and population served by domestic wells in California: Journal of Hydrology: Regional Studies, v. 3, p. 31-86, https://doi.org/10.1016/j.ejrh.2014.09.002.","productDescription":"56 p.","startPage":"31","endPage":"86","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055416","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472243,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2014.09.002","text":"Publisher Index Page"},{"id":306442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70154990,"text":"70154990 - 2015 - Mars Reconnaissance Orbiter and Opportunity observations of the Burns formation: crater hopping at Meridiani Planum","interactions":[],"lastModifiedDate":"2018-11-08T17:12:28","indexId":"70154990","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Mars Reconnaissance Orbiter and Opportunity observations of the Burns formation: crater hopping at Meridiani Planum","docAbstract":"Compact Reconnaissance Imaging Spectrometer for Mars hyperspectral (1.0–2.65 µm) along-track oversampled observations covering Victoria, Santa Maria, Endeavour, and Ada craters were processed to 6 m/pixel and used in combination with Opportunity observations to detect and map hydrated Mg and Ca sulfate minerals in the Burns formation. The strongest spectral absorption features were found to be associated with outcrops that are relatively young and fresh (Ada) or preferentially scoured of dust, soil, and coatings by prevailing winds. At Victoria and Santa Maria, the scoured areas are on the southeastern rims and walls, opposite to the sides where wind-blown sands extend out of the craters. At Endeavour, the deepest absorptions are in Botany Bay, a subdued and buried rim segment that exhibits high thermal inertias, extensive outcrops, and is interpreted to be a region of enhanced wind scour extending up and out of the crater. Ada, Victoria, and Santa Maria outcrops expose the upper portion of the preserved Burns formation and show spectral evidence for the presence of kieserite. In contrast, gypsum is pervasive spectrally in the Botany Bay exposures. Gypsum, a relatively insoluble evaporative mineral, is interpreted to have formed close to the contact with the Noachian crust as rising groundwaters brought brines close to and onto the surface, either as a direct precipitate or during later diagenesis. The presence of kieserite at the top of the section is hypothesized to reflect precipitation from evaporatively concentrated brines or dehydration of polyhydrated sulfates.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JE004686","usgsCitation":"R.E. Arvidson, Bell, J., Catalano, J., Clark, B.C., Fox, V., Gellert, R., Grotzinger, J., Guinness, E., Herkenhoff, K.E., Knoll, A., Lapotre, M., McLennan, S.M., Ming, D.W., Morris, R., Murchie, S., Powell, K.E., Smith, M.D., Squyres, S.W., Wolff, M., and J.J. Wray, 2015, Mars Reconnaissance Orbiter and Opportunity observations of the Burns formation: crater hopping at Meridiani Planum: Journal of Geophysical Research E: Planets, v. 120, no. 3, p. 429-451, https://doi.org/10.1002/2014JE004686.","productDescription":"23 p.","startPage":"429","endPage":"451","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057611","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":472246,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:27708816","text":"External Repository"},{"id":305901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"120","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-18","publicationStatus":"PW","scienceBaseUri":"55b0beaee4b09a3b01b5309a","contributors":{"authors":[{"text":"R.E. 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,{"id":70187365,"text":"70187365 - 2015 - An assessment of fish assemblage structure in a large river","interactions":[],"lastModifiedDate":"2017-05-01T09:44:33","indexId":"70187365","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"An assessment of fish assemblage structure in a large river","docAbstract":"The Penobscot River drains the largest watershed in Maine and once provided spawning and rearing habitats to 11 species of diadromous fishes. The construction of dams blocked migrations of these fishes and likely changed the structure and function of fish assemblages throughout the river. The proposed removal of two main-stem dams, improved upstream fish passage at a third dam, and construction of a fish bypass on a dam obstructing a major tributary is anticipated to increase passage of and improve habitat connectivity for both diadromous and resident fishes. We captured 61 837 fish of 35 species in the Penobscot River and major tributaries, through 114 km of boat electrofishing. Patterns of fish assemblage structure did not change considerably during our sampling; relatively few species contributed to seasonal and annual variability within the main-stem river, including smallmouth bass Micropterus dolomieu, white sucker Catostomus commersonii, pumpkinseed Lepomis gibbosus, and golden shiner Notemigonus crysoleucas. However, distinct fish assemblages were present among river sections bounded by dams. Many diadromous species were restricted to tidal waters downriver of the Veazie Dam; Fundulus species were also abundant within the tidal river section. Smallmouth bass and pumpkinseed were most prevalent within the Veazie Dam impoundment and the free-flowing river section immediately upriver, suggesting the importance of both types of habitat that supports multiple life stages of these species. Further upriver, brown bullhead Ameiurus nebulosus, yellow perch Perca flavescens, chain pickerel Esox niger, and cyprinid species were more prevalent than within any other river section. Our findings describe baseline spatial patterns of fish assemblages in the Penobscot River in relation to dams with which to compare assessments after dam removal occurs.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.2738","usgsCitation":"Kiraly, I.A., Coghlan, S., Zydlewski, J.D., and Hayes, D., 2015, An assessment of fish assemblage structure in a large river: River Research and Applications, v. 31, no. 3, p. 301-312, https://doi.org/10.1002/rra.2738.","productDescription":"12 p.","startPage":"301","endPage":"312","ipdsId":"IP-055790","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-04","publicationStatus":"PW","scienceBaseUri":"5908492be4b0fc4e448ffd62","contributors":{"authors":[{"text":"Kiraly, Ian A.","contributorId":169709,"corporation":false,"usgs":false,"family":"Kiraly","given":"Ian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, S.M. Jr.","contributorId":63653,"corporation":false,"usgs":true,"family":"Coghlan","given":"S.M.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":693621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":693614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, D.","contributorId":15275,"corporation":false,"usgs":true,"family":"Hayes","given":"D.","email":"","affiliations":[],"preferred":false,"id":693622,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188042,"text":"70188042 - 2015 - Quantitative attribution of major driving forces on soil organic carbon dynamics","interactions":[],"lastModifiedDate":"2017-05-30T15:55:32","indexId":"70188042","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5407,"text":"Journal of Advances in Modeling Earth Systems","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative attribution of major driving forces on soil organic carbon dynamics","docAbstract":"Soil organic carbon (SOC) storage plays a major role in the global carbon cycle and is affected by many factors including land use/management changes (e.g., biofuel production-oriented changes). However, the contributions of various factors to SOC changes are not well understood and quantified. This study was designed to investigate the impacts of changing farming practices, initial SOC levels, and biological enhancement of grain production on SOC dynamics and to attribute the relative contributions of major driving forces (CO2 enrichment and farming practices) using a fractional factorial modeling design. The case study at a crop site in Iowa in the United States demonstrated that the traditional corn-soybean (CS) rotation could still accumulate SOC over this century (from 4.2 to 6.8 kg C/m2) under the current condition; whereas the continuous-corn (CC) system might have a higher SOC sequestration potential than CS. In either case, however, residue removal could reduce the sink potential substantially. Long-term simulation results also suggested that the equilibrium SOC level may vary greatly (∼5.7 to ∼11 kg C/m2) depending on cropping systems and management practices, and projected growth enhancement could make the magnitudes higher (∼7.8 to ∼13 kg C/m2). Importantly, the factorial design analysis indicated that residue management had the most significant impact (contributing 49.4%) on SOC changes, followed by CO2 Enrichment (37%), Tillage (6.2%), the combination of CO2Enrichment-Residue removal (5.8%), and Fertilization (1.6%). In brief, this study is valuable for understanding the major forces driving SOC dynamics of agroecosystems and informative for decision-makers when seeking the enhancement of SOC sequestration potential and sustainability of biofuel production, especially in the Corn Belt region of the United States.
","language":"English","publisher":"AGU","doi":"10.1002/2014MS000361","usgsCitation":"Wu, Y., Liu, S., and Tan, Z., 2015, Quantitative attribution of major driving forces on soil organic carbon dynamics: Journal of Advances in Modeling Earth Systems, v. 7, no. 1, p. 21-34, https://doi.org/10.1002/2014MS000361.","productDescription":"14 p.","startPage":"21","endPage":"34","ipdsId":"IP-060738","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472241,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014ms000361","text":"Publisher Index Page"},{"id":341881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-16","publicationStatus":"PW","scienceBaseUri":"592e84bde4b092b266f10d4e","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tan, Zhengxi 0000-0002-4136-0921 ztan@usgs.gov","orcid":"https://orcid.org/0000-0002-4136-0921","contributorId":2945,"corporation":false,"usgs":true,"family":"Tan","given":"Zhengxi","email":"ztan@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696520,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70168391,"text":"70168391 - 2015 - The importance of scaling for detecting community patterns: success and failure in assemblages of introduced species","interactions":[],"lastModifiedDate":"2016-08-31T16:00:07","indexId":"70168391","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"title":"The importance of scaling for detecting community patterns: success and failure in assemblages of introduced species","docAbstract":"Community saturation can help to explain why biological invasions fail. However, previous research has documented inconsistent relationships between failed invasions (i.e., an invasive species colonizes but goes extinct) and the number of species present in the invaded community. We use data from bird communities of the Hawaiian island of Oahu, which supports a community of 38 successfully established introduced birds and where 37 species were introduced but went extinct (failed invasions). We develop a modified approach to evaluate the effects of community saturation on invasion failure. Our method accounts (1) for the number of species present (NSP) when the species goes extinct rather than during its introduction; and (2) scaling patterns in bird body mass distributions that accounts for the hierarchical organization of ecosystems and the fact that interaction strength amongst species varies with scale. We found that when using NSP at the time of extinction, NSP was higher for failed introductions as compared to successful introductions, supporting the idea that increasing species richness and putative community saturation mediate invasion resistance. Accounting for scale-specific patterns in body size distributions further improved the relationship between NSP and introduction failure. Results show that a better understanding of invasion outcomes can be obtained when scale-specific community structure is accounted for in the analysis.
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G.","affiliations":[],"preferred":false,"id":619881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moulton, Michael P.","contributorId":166723,"corporation":false,"usgs":false,"family":"Moulton","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":619882,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holling, Crawford S.","contributorId":20511,"corporation":false,"usgs":true,"family":"Holling","given":"Crawford","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":619883,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70122888,"text":"70122888 - 2015 - Next-generation genomic shotgun sequencing indicates greater genetic variability in the mitochondria of Hypophthalmichthys molitrix relative to H. nobilis from the Mississippi River, USA and provides tools for research and detection","interactions":[],"lastModifiedDate":"2016-07-08T15:31:36","indexId":"70122888","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"Next-generation genomic shotgun sequencing indicates greater genetic variability in the mitochondria of Hypophthalmichthys molitrix relative to H. nobilis from the Mississippi River, USA and provides tools for research and detection","docAbstract":"We characterized variation within the mitochondrial genomes of the invasive silver carp (Hypophthalmichthys molitrix) and bighead carp (H. nobilis) from the Mississippi River drainage by mapping our Next-Generation sequences to their publicly available genomes. Variant detection resulted in 338 single-nucleotide polymorphisms for H. molitrix and 39 for H. nobilis. The much greater genetic variation in H. molitrix mitochondria relative to H. nobilis may be indicative of a greater North American female effective population size of the former. When variation was quantified by gene, many tRNA loci appear to have little or no variability based on our results whereas protein-coding regions were more frequently polymorphic. These results provide biologists with additional regions of DNA to be used as markers to study the invasion dynamics of these species.
","language":"English","publisher":"Springer","doi":"10.1007/s12686-014-0296-3","usgsCitation":"Miller, J.J., Eackles, M.S., Stauffer, J.R., and King, T.L., 2015, Next-generation genomic shotgun sequencing indicates greater genetic variability in the mitochondria of Hypophthalmichthys molitrix relative to H. nobilis from the Mississippi River, USA and provides tools for research and detection: Conservation Genetics Resources, v. 7, no. 1, p. 9-11, https://doi.org/10.1007/s12686-014-0296-3.","productDescription":"3 p.","startPage":"9","endPage":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055597","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":324955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-09-19","publicationStatus":"PW","scienceBaseUri":"5780cebde4b0811616822390","contributors":{"authors":[{"text":"Miller, John J","contributorId":121236,"corporation":false,"usgs":true,"family":"Miller","given":"John","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":519326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eackles, Michael S. meackles@usgs.gov","contributorId":4371,"corporation":false,"usgs":true,"family":"Eackles","given":"Michael","email":"meackles@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":519324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stauffer, Jay R","contributorId":115581,"corporation":false,"usgs":true,"family":"Stauffer","given":"Jay","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":519325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":519323,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156354,"text":"70156354 - 2015 - Effects of fire on small mammal communities in frequent-fire forests in California","interactions":[],"lastModifiedDate":"2015-08-20T11:51:08","indexId":"70156354","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Effects of fire on small mammal communities in frequent-fire forests in California","docAbstract":"Fire is a natural, dynamic process that is integral to maintaining ecosystem function. The reintroduction of fire (e.g., prescribed fire, managed wildfire) is a critical management tool for protecting many frequent-fire forests against stand-replacing fires while restoring an essential ecological process. Understanding the effects of fire on forests and wildlife communities is important in natural resource planning efforts. Small mammals are key components of forest food webs and essential to ecosystem function. To investigate the relationship of fire to small mammal assemblages, we live trapped small mammals in 10 burned and 10 unburned forests over 2 years in the central Sierra Nevada, California. Small mammal abundance was higher in unburned forests, largely reflecting the greater proportion of closed-canopy species such as Glaucomys sabrinus in unburned forests. The most abundant species across the entire study area was the highly adaptable generalist species, Peromyscus maniculatus. Species diversity was similar between burned and unburned forests, but burned forests were characterized by greater habitat heterogeneity and higher small mammal species evenness. The use and reintroduction of fire to maintain a matrix of burn severities, including large patches of unburned refugia, creates a heterogeneous and resilient landscape that allows for fire-sensitive species to proliferate and, as such, may help maintain key ecological functions and diverse small mammal assemblages.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmammal/gyu011","usgsCitation":"Roberts, S.L., Kelt, D.A., Van Wagtendonk, J.W., Miles, A.K., and Meyer, M.D., 2015, Effects of fire on small mammal communities in frequent-fire forests in California: Journal of Mammalogy, v. 96, no. 1, p. 107-119, https://doi.org/10.1093/jmammal/gyu011.","productDescription":"13 p.","startPage":"107","endPage":"119","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-008194","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472254,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyu011","text":"Publisher Index Page"},{"id":307008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.091552734375,\n 36.86204269508728\n ],\n [\n -120.091552734375,\n 37.599000150648514\n ],\n [\n -118.223876953125,\n 37.599000150648514\n ],\n [\n -118.223876953125,\n 36.86204269508728\n ],\n [\n -120.091552734375,\n 36.86204269508728\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"96","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-27","publicationStatus":"PW","scienceBaseUri":"55d6fa31e4b0518e3546bc35","contributors":{"authors":[{"text":"Roberts, Susan L.","contributorId":85312,"corporation":false,"usgs":true,"family":"Roberts","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":568835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelt, Douglas A.","contributorId":97232,"corporation":false,"usgs":true,"family":"Kelt","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":568836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Wagtendonk, Jan W. jan_van_wagtendonk@usgs.gov","contributorId":2648,"corporation":false,"usgs":true,"family":"Van Wagtendonk","given":"Jan","email":"jan_van_wagtendonk@usgs.gov","middleInitial":"W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":568834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":568837,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Marc D.","contributorId":146492,"corporation":false,"usgs":false,"family":"Meyer","given":"Marc","email":"","middleInitial":"D.","affiliations":[{"id":16711,"text":"USDA Forest Service, Clovis, CA","active":true,"usgs":false}],"preferred":false,"id":568838,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70156880,"text":"70156880 - 2015 - Proposed best modeling practices for assessing the effects of ecosystem restoration on fish","interactions":[],"lastModifiedDate":"2019-07-25T15:05:22","indexId":"70156880","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Proposed best modeling practices for assessing the effects of ecosystem restoration on fish","docAbstract":"Large-scale aquatic ecosystem restoration is increasing and is often controversial because of the economic costs involved, with the focus of the controversies gravitating to the modeling of fish responses. We present a scheme for best practices in selecting, implementing, interpreting, and reporting of fish modeling designed to assess the effects of restoration actions on fish populations and aquatic food webs. Previous best practice schemes that tended to be more general are summarized, and they form the foundation for our scheme that is specifically tailored for fish and restoration. We then present a 31-step scheme, with supporting text and narrative for each step, which goes from understanding how the results will be used through post-auditing to ensure the approach is used effectively in subsequent applications. We also describe 13 concepts that need to be considered in parallel to these best practice steps. Examples of these concepts include: life cycles and strategies; variability and uncertainty; nonequilibrium theory; biological, temporal, and spatial scaling; explicit versus implicit representation of processes; and model validation. These concepts are often not considered or not explicitly stated and casual treatment of them leads to mis-communication and mis-understandings, which in turn, often underlie the resulting controversies. We illustrate a subset of these steps, and their associated concepts, using the three case studies of Glen Canyon Dam on the Colorado River, the wetlands of coastal Louisiana, and the Everglades. Use of our proposed scheme will require investment of additional time and effort (and dollars) to be done effectively. We argue that such an investment is well worth it and will more than pay back in the long run in effective and efficient restoration actions and likely avoided controversies and legal proceedings.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2014.12.020","usgsCitation":"Rose, K.A., Sable, S., DeAngelis, D.L., Yurek, S., Trexler, J.C., Graf, W.L., and Reed, D.J., 2015, Proposed best modeling practices for assessing the effects of ecosystem restoration on fish: Ecological Modelling, v. 300, p. 12-29, https://doi.org/10.1016/j.ecolmodel.2014.12.020.","productDescription":"18 p.","startPage":"12","endPage":"29","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059726","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":307783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"300","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e6cc37e4b05561fa20a026","contributors":{"authors":[{"text":"Rose, Kenneth A","contributorId":147274,"corporation":false,"usgs":false,"family":"Rose","given":"Kenneth","email":"","middleInitial":"A","affiliations":[{"id":16815,"text":"Dept. of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge","active":true,"usgs":false}],"preferred":false,"id":570954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sable, Shaye","contributorId":147275,"corporation":false,"usgs":false,"family":"Sable","given":"Shaye","affiliations":[{"id":16816,"text":"Dynamic Solutions, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":570955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":147273,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":570953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yurek, Simeon 0000-0002-6209-7915 syurek@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":103167,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","email":"syurek@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":570956,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trexler, Joel C.","contributorId":36267,"corporation":false,"usgs":false,"family":"Trexler","given":"Joel","email":"","middleInitial":"C.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":570957,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graf, William L.","contributorId":92415,"corporation":false,"usgs":true,"family":"Graf","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":570958,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Denise J.","contributorId":71903,"corporation":false,"usgs":true,"family":"Reed","given":"Denise","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":570959,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70188044,"text":"70188044 - 2015 - Characterizing Congo Basin rainfall and climate using Tropical Rainfall Measuring Mission (TRMM) satellite data and limited rain gauge ground observations","interactions":[],"lastModifiedDate":"2017-05-31T16:09:14","indexId":"70188044","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5202,"text":"Journal of Applied Meteorology and Climatology","onlineIssn":"1558-8432","printIssn":"1558-8424","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing Congo Basin rainfall and climate using Tropical Rainfall Measuring Mission (TRMM) satellite data and limited rain gauge ground observations","docAbstract":"Quantitative understanding of Congo River basin hydrological behavior is poor because of the basin’s limited hydrometeorological observation network. In cases such as the Congo basin where ground data are scarce, satellite-based estimates of rainfall, such as those from the joint NASA/JAXA Tropical Rainfall Measuring Mission (TRMM), can be used to quantify rainfall patterns. This study tests and reports the use of limited rainfall gauge data within the Democratic Republic of Congo (DRC) to recalibrate a TRMM science product (TRMM 3B42, version 6) in characterizing precipitation and climate in the Congo basin. Rainfall estimates from TRMM 3B42, version 6, are compared and adjusted using ground precipitation data from 12 DRC meteorological stations from 1998 to 2007. Adjustment is achieved on a monthly scale by using a regression-tree algorithm. The output is a new, basin-specific estimate of monthly and annual rainfall and climate types across the Congo basin. This new product and the latest version-7 TRMM 3B43 science product are validated by using an independent long-term dataset of historical isohyets. Standard errors of the estimate, root-mean-square errors, and regression coefficients r were slightly and uniformly better with the recalibration from this study when compared with the 3B43 product (mean monthly standard errors of 31 and 40 mm of precipitation and mean r2 of 0.85 and 0.82, respectively), but the 3B43 product was slightly better in terms of bias estimation (1.02 and 1.00). Despite reasonable doubts that have been expressed in studies of other tropical regions, within the Congo basin the TRMM science product (3B43) performed in a manner that is comparable to the performance of the recalibrated product that is described in this study.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JAMC-D-14-0052.1","usgsCitation":"Munzimi, Y.A., Hansen, M.C., Adusei, B., and Senay, G., 2015, Characterizing Congo Basin rainfall and climate using Tropical Rainfall Measuring Mission (TRMM) satellite data and limited rain gauge ground observations: Journal of Applied Meteorology and Climatology, v. 54, p. 541-555, https://doi.org/10.1175/JAMC-D-14-0052.1.","productDescription":"15 p.","startPage":"541","endPage":"555","ipdsId":"IP-061697","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Congo Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 12,\n -13\n ],\n [\n 35,\n -13\n ],\n [\n 35,\n 10\n ],\n [\n 12,\n 10\n ],\n [\n 12,\n -13\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84bde4b092b266f10d4b","contributors":{"authors":[{"text":"Munzimi, Yolande A.","contributorId":192431,"corporation":false,"usgs":false,"family":"Munzimi","given":"Yolande","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":696495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Matthew C.","contributorId":192036,"corporation":false,"usgs":false,"family":"Hansen","given":"Matthew","email":"","middleInitial":"C.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false},{"id":12623,"text":"State University of New York College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":696496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adusei, Bernard","contributorId":192432,"corporation":false,"usgs":false,"family":"Adusei","given":"Bernard","email":"","affiliations":[],"preferred":false,"id":696497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":152206,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel B.","email":"senay@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":696308,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70144704,"text":"70144704 - 2015 - Flow management and fish density regulate salmonid recruitment and adult size in tailwaters across western North America","interactions":[],"lastModifiedDate":"2015-12-21T13:16:57","indexId":"70144704","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Flow management and fish density regulate salmonid recruitment and adult size in tailwaters across western North America","docAbstract":"Rainbow and brown trout have been intentionally introduced into tailwaters downriver of dams globally and provide billions of dollars in economic benefits. At the same time, recruitment and maximum length of trout populations in tailwaters often fluctuate erratically, which negatively affects the value of fisheries. Large recruitment events may increase dispersal downriver where other fish species may be a priority (e.g., endangered species). There is an urgent need to understand the drivers of trout population dynamics in tailwaters, in particular the role of flow management. Here, we evaluate how flow, fish density, and other physical factors of the river influence recruitment and mean adult length in tailwaters across western North America using data from 29 dams spanning 1-19 years. Rainbow trout recruitment was negatively correlated with high annual, summer, and spring flow and dam latitude, and positively correlated with high winter flow, sub-adult brown trout catch, and reservoir storage capacity. Brown trout recruitment was negatively correlated with high water velocity and daily fluctuations in flow (i.e., hydropeaking) and positively correlated with adult rainbow trout catch. Among these many drivers, rainbow trout recruitment was primarily correlated with high winter flow combined with low spring flow, whereas brown trout recruitment was most related to high water velocity.
\nThe mean lengths of adult rainbow and brown trout were influenced by similar flow and catch metrics. Length in both species was positively correlated with high annual flow but declined in tailwaters with high daily fluctuations in flow, high catch rates of conspecifics, and when large cohorts recruited to adult size. Whereas brown trout did not respond to the proportion of water allocated between seasons, rainbow trout length increased in rivers that released more water during winter than in spring. Rainbow trout length was primarily related to high catch rates of conspecifics, whereas brown trout length was mainly related to large cohorts recruiting to the adult size class. Species-specific responses to flow management are likely attributable to differences in seasonal timing of key life history events such as spawning, egg hatching, and fry emergence.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/14-2211.1","usgsCitation":"Dibble, K.L., Yackulic, C.B., Kennedy, T., and Budy, P.E., 2015, Flow management and fish density regulate salmonid recruitment and adult size in tailwaters across western North America: Ecological Applications, v. 25, no. 8, p. 2168-2179, https://doi.org/10.1890/14-2211.1.","productDescription":"12 p.","startPage":"2168","endPage":"2179","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060840","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":438714,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79P2ZQ2","text":"USGS data release","linkHelpText":"Flow management and fish density regulate salmonid recruitment and adult size in tailwaters across western North AmericaData"},{"id":299221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.0244140625,\n 31.31610138349565\n ],\n [\n -125.0244140625,\n 49.009050809382046\n ],\n [\n -101.90917968749999,\n 49.009050809382046\n ],\n [\n -101.90917968749999,\n 31.31610138349565\n ],\n [\n -125.0244140625,\n 31.31610138349565\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551bc52be4b0323842783a4a","contributors":{"authors":[{"text":"Dibble, Kimberly L. 0000-0003-0799-4477 kdibble@usgs.gov","orcid":"https://orcid.org/0000-0003-0799-4477","contributorId":5174,"corporation":false,"usgs":true,"family":"Dibble","given":"Kimberly","email":"kdibble@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":543797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":543798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Theodore A. tkennedy@usgs.gov","contributorId":3320,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","email":"tkennedy@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":543799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budy, Phaedra E. pbudy@usgs.gov","contributorId":2232,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":322,"text":"Grand Canyon Monitoring and Research Center","active":false,"usgs":true}],"preferred":false,"id":543800,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70143551,"text":"70143551 - 2015 - Hydroclimatic conditions preceding the March 2014 Oso landslide","interactions":[],"lastModifiedDate":"2015-06-02T11:24:40","indexId":"70143551","displayToPublicDate":"2015-03-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2344,"text":"Journal of Hydrometeorology","active":true,"publicationSubtype":{"id":10}},"title":"Hydroclimatic conditions preceding the March 2014 Oso landslide","docAbstract":"The 22 March 2014 Oso landslide was one of the deadliest in U.S. history, resulting in 43 fatalities and the destruction of more than 40 structures. We examine synoptic conditions, precipitation records and soil moisture reconstructions in the days, months, and years preceding the landslide. Atmospheric reanalysis shows a period of enhanced moisture transport to the Pacific Northwest beginning on 11 February 2014. The 21- to 42-day periods prior to the landslide had anomalously high precipitation; we estimate that 300-400 mm of precipitation fell at Oso in the 21 days prior to the landslide. Relative only to historical periods ending on 22 March, the return periods of these precipitation accumulations are large (25-88 years). However, relative to the largest accumulations from any time of the year (annual maxima), return periods are more modest (2-6 years). In addition to the 21-42 days prior to the landslide, there is a secondary maximum in the precipitation return periods for the 4 years preceding the landslide. Reconstructed soil moisture was anomalously high prior to the landslide, with a return period that exceeded 40 years about a week before the event.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JHM-D-15-0008.1","usgsCitation":"Henn, B., Cao, Q., Lettenmaier, D.P., Magirl, C.S., Mass, C., Bower, J.B., St. Laurent, M., Mao, Y., and Perica, S., 2015, Hydroclimatic conditions preceding the March 2014 Oso landslide: Journal of Hydrometeorology, v. 16, no. 3, p. 1243-1249, https://doi.org/10.1175/JHM-D-15-0008.1.","productDescription":"7 p.","startPage":"1243","endPage":"1249","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061638","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":472244,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jhm-d-15-0008.1","text":"Publisher Index Page"},{"id":298832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.167724609375,\n 47.27177506640826\n ],\n [\n -123.167724609375,\n 48.94415123418794\n ],\n [\n -119.388427734375,\n 48.94415123418794\n ],\n [\n -119.388427734375,\n 47.27177506640826\n ],\n [\n -123.167724609375,\n 47.27177506640826\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550d44c0e4b02e76d759d87f","contributors":{"authors":[{"text":"Henn, Brian","contributorId":139777,"corporation":false,"usgs":false,"family":"Henn","given":"Brian","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":542793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cao, Qian","contributorId":139778,"corporation":false,"usgs":false,"family":"Cao","given":"Qian","email":"","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":542794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lettenmaier, Dennis P.","contributorId":139779,"corporation":false,"usgs":false,"family":"Lettenmaier","given":"Dennis","email":"","middleInitial":"P.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":542795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mass, Clifford","contributorId":139780,"corporation":false,"usgs":false,"family":"Mass","given":"Clifford","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":542796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bower, J. Brent","contributorId":138697,"corporation":false,"usgs":false,"family":"Bower","given":"J.","email":"","middleInitial":"Brent","affiliations":[{"id":12498,"text":"NOAA National Weather Service, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":542797,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"St. Laurent, Michael","contributorId":139782,"corporation":false,"usgs":false,"family":"St. Laurent","given":"Michael","email":"","affiliations":[{"id":12907,"text":"NOAA/Hydrometeorological Design Studies Center","active":true,"usgs":false}],"preferred":false,"id":542798,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mao, Yixin","contributorId":139783,"corporation":false,"usgs":false,"family":"Mao","given":"Yixin","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":542799,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Perica, Sanja","contributorId":139784,"corporation":false,"usgs":false,"family":"Perica","given":"Sanja","email":"","affiliations":[{"id":12907,"text":"NOAA/Hydrometeorological Design Studies Center","active":true,"usgs":false}],"preferred":false,"id":542800,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
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