{"pageNumber":"785","pageRowStart":"19600","pageSize":"25","recordCount":184617,"records":[{"id":70200513,"text":"70200513 - 2019 - Revisiting the historic distribution and habitats of the Whooping Crane","interactions":[],"lastModifiedDate":"2018-10-24T10:32:06","indexId":"70200513","displayToPublicDate":"2018-10-23T13:34:52","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Revisiting the historic distribution and habitats of the Whooping Crane","docAbstract":"<p><span>The endangered&nbsp;Whooping Crane&nbsp;(</span><i>Grus americana</i><span>) historically had a wide distribution that covered diverse ecoregions across North America while retaining consistent habitat preferences within each ecoregion. We reevaluate the historic information compiled by Robert Porter Allen in 1952 and added 74 other records. Based on the ecological features of historic locations relative to crane life history, we revisit Allen’s description of the whooping crane’s niche and identify four features common to breeding and wintering areas: (1) gentle to rolling topography with an interspersion of wetland and&nbsp;prairie&nbsp;habitats, and relatively sparse cover of trees and shrubs; (2) high densities of shallow, open wetlands or wetland complexes; (3) hydrological regimes that provide reliable conditions for nesting, brood rearing, and flightless adults; and (4) high plant and animal productivity due to fertile soils, hydrological pulsing, periodic inflow of nutrients, or other periodic perturbations. Accurate determination of the ecological features that compose Whooping Crane habitats should stimulate renewed discussions about habitat requirements and can support development of improved reintroduction strategies for the long-term success of recovery efforts.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Whooping cranes: Biology and conservation","language":"English","publisher":"Academic Press","doi":"10.1016/B978-0-12-803555-9.00003-7","usgsCitation":"Austin, J.E., Hayes, M.A., and Barzen, J.A., 2019, Revisiting the historic distribution and habitats of the Whooping Crane, chap. <i>of</i> Whooping cranes: Biology and conservation, p. 25-88, https://doi.org/10.1016/B978-0-12-803555-9.00003-7.","productDescription":"64 p.","startPage":"25","endPage":"88","ipdsId":"IP-069164","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/b978-0-12-803555-9.00003-7","text":"Publisher Index Page"},{"id":358675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a8dfe4b034bf6a7e4da8","contributors":{"authors":[{"text":"Austin, Jane E. 0000-0001-8775-2210 jaustin@usgs.gov","orcid":"https://orcid.org/0000-0001-8775-2210","contributorId":146411,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":749209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Matthew A.","contributorId":190796,"corporation":false,"usgs":false,"family":"Hayes","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":749210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barzen, Jeb A.","contributorId":190797,"corporation":false,"usgs":false,"family":"Barzen","given":"Jeb","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":749211,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70200477,"text":"70200477 - 2019 - Statistical detection of flow regime changes in horizontal hydraulically fractured Bakken oil wells","interactions":[],"lastModifiedDate":"2019-01-28T08:57:31","indexId":"70200477","displayToPublicDate":"2018-10-20T17:25:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Statistical detection of flow regime changes in horizontal hydraulically fractured Bakken oil wells","docAbstract":"<p>The application of horizontal and hydraulically fractured wells for producing oil from low permeability formations has changed the face of the North American oil industry. One feature of the production profile of many such wells is a transition from transient linear oil flow to boundary-dominated flow. The identification of the time of this transition is important for the calibration of models that forecast the well’s future production and the expected ultimate recovery. It is preferable that such models generally use data from the boundary-dominated flow regime for parameter calibration. Accurate well production forecasts are needed for operational decisions, long-term planning, commercial transactions, regulatory proceedings, and asset valuation. Petroleum engineers frequently make the call on the transition point based on subjective visual interpretations of log–log plots for individual wells. This is time-consuming and is generally not repeatable by other analysts. This note evaluates statistical approaches that can serve as alternatives to the subjective visual interpretations. Specifically, the predictive performance of production models calibrated with boundary-dominated data based on transition dates calculated with constrained nonlinear least squares and Bayesian regressions was very close to that obtained using the visual method, suggesting that statistical approaches may indeed be constructed to replace less objective visual approaches without loss of accuracy.</p>","language":"English","publisher":"Springer","doi":"10.1007/s11053-018-9389-0","usgsCitation":"Attanasi, E., Coburn, T., and Ran-McDonald, B., 2019, Statistical detection of flow regime changes in horizontal hydraulically fractured Bakken oil wells: Natural Resources Research, v. 28, no. 1, p. 259-272, https://doi.org/10.1007/s11053-018-9389-0.","productDescription":"14 p.","startPage":"259","endPage":"272","ipdsId":"IP-091903","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":468068,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11053-018-9389-0","text":"Publisher Index Page"},{"id":358589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-26","publicationStatus":"PW","scienceBaseUri":"5c10a91ae4b034bf6a7e4fb3","contributors":{"authors":[{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":198728,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil D.","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":749069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coburn, T.C.","contributorId":209912,"corporation":false,"usgs":false,"family":"Coburn","given":"T.C.","email":"","affiliations":[{"id":38022,"text":"University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":749070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ran-McDonald, B.","contributorId":209913,"corporation":false,"usgs":false,"family":"Ran-McDonald","given":"B.","email":"","affiliations":[{"id":38022,"text":"University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":749071,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203355,"text":"70203355 - 2019 - Changing station coverage impacts temperature trends in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2019-05-09T09:03:39","indexId":"70203355","displayToPublicDate":"2018-10-19T10:09:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Changing station coverage impacts temperature trends in the Upper Colorado River Basin","docAbstract":"Over the Upper Colorado River Basin (UCRB), temperatures in widely used gridded data products do not warm as much as mean temperatures from a stable set of U.S. Historical Climatology Network (USHCN) stations, located at generally lower elevations, in most months of the year. This is contrary to expectations of elevation-dependent warming, which suggests that warming increases with elevation. These findings could reflect 1) a genuine absence of elevation-dependent warming in the region, 2) systematic non-climatic influences on either the USHCN stations or high elevation stations, including known inhomogeneities related to changes in the time of observation and instrumentation, or 3) suppression of an elevation-dependent warming signal introduced by changes in the station network. While we cannot categorically dismiss the first two possibilities, we show here that over portions of the 20th century, gridded temperatures warm less than USHCN temperatures and the difference cannot be explained by accounting for known inhomogeneities. These analyses suggest that changing station coverage in the UCRB has influenced trends in gridded temperature estimates that incorporate changing suites of stations over time. Specifically, increases in the number of high-elevation stations in the UCRB may have led to an underestimation of elevation-dependent warming, particularly during the spring and summer. This phenomenon is unlikely limited to this specific basin, and may be present in other high-elevation watersheds across the western U.S.","language":"English","publisher":"Royal Meteorological Society","doi":"10.1002/joc.5898","usgsCitation":"McAfee, S., McCabe, G.J., Gray, S., and Pederson, G.T., 2019, Changing station coverage impacts temperature trends in the Upper Colorado River Basin: International Journal of Climatology, v. 39, no. 3, p. 1517-1538, https://doi.org/10.1002/joc.5898.","productDescription":"22 p.","startPage":"1517","endPage":"1538","ipdsId":"IP-092579","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":363584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112,\n              36.5\n            ],\n            [\n              -106,\n              36.5\n            ],\n            [\n              -106,\n              44\n            ],\n            [\n              -112,\n              44\n            ],\n            [\n              -112,\n              36.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"McAfee, Stephanie A.","contributorId":167115,"corporation":false,"usgs":false,"family":"McAfee","given":"Stephanie A.","affiliations":[{"id":24618,"text":"Department of Geography, University of Nevada, Reno, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":762282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":762283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Stephen T. 0000-0002-0959-3418 sgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-3418","contributorId":209851,"corporation":false,"usgs":true,"family":"Gray","given":"Stephen","email":"sgray@usgs.gov","middleInitial":"T.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":762284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":762281,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70219472,"text":"70219472 - 2019 - Globally detected volcanic lightning and umbrella dynamics during the 2014 eruption of Kelud, Indonesia","interactions":[],"lastModifiedDate":"2021-04-08T12:19:25.733572","indexId":"70219472","displayToPublicDate":"2018-10-18T07:16:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Globally detected volcanic lightning and umbrella dynamics during the 2014 eruption of Kelud, Indonesia","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0045\"><span>Volcanic lightning shows considerable promise as a monitoring and research tool to characterize explosive eruptions. Its key strengths are rapid and remote detection, because the radio signals produced by lightning can propagate thousands of km at the speed of light. Despite these tantalizing properties, the scientific work on volcanic lightning has only recently started gaining momentum. Much more is needed to understand what lightning reveals about the evolution of an eruption in near-real time. Here we examine the timing and energy release of lightning generated by the eruption of Kelud volcano in Indonesia on 13 February 2014, as detected by the World Wide Lightning Location Network (WWLLN). The eruption column reached at least 26 km above sea level, representing the highest plume since the advent of global lightning networks in the last decade. Therefore, it provides valuable constraints on the&nbsp;electrification&nbsp;of end-member, sustained Plinian columns. We investigate the lightning in context with satellite images, photographs, and other published studies. Results show that the earliest satellite-detected activity was a&nbsp;thermal anomaly&nbsp;at ~15:46 UTC, corresponding to a directed blast at the onset of eruption (and only a few lightning strokes). Following a brief pause, the eruption produced a sustained column and umbrella cloud that spread outward into the tropical&nbsp;stratosphere. Rates of umbrella expansion provide an average mass eruption rate (MER) in the range of 8 × 10</span><sup>7</sup>–1 × 10<sup>8</sup> kg s<sup>−1</sup>. A more nuanced picture emerges from the time-varying MERs (determined between each satellite pass), which show rapid intensification during the first hour of eruption, followed by constant MER for about an hour, and waning toward the end (after ~17:50 UTC). At this stage, decreasing flux into the umbrella cloud coincides with column instability and formation of pyroclastic density currents, as recorded by photos from the ground ~17:45 UTC. We infer that some of the erupted mass partitioned into ground-hugging currents, leading to a lower apparent MER. Interestingly, there is not a 1:1 correlation between lightning intensity and MER over the course of eruption. Stroke rates increase sharply within the first 30–40 min (during rapid intensification of the plume), and then drop below 2 strokes per min once the MER remains constant. This suggests that electrification was controlled by the<span>&nbsp;</span><i>rate of increase</i><span>&nbsp;</span>in MER—in other words, the acceleration of particles out of the vent. We also show that lightning stroke-rates and energies are greatest within 50 km of the vent, even when the ash cloud extends &gt;200 km downwind, indicating that lightning was focused in the regions of highest particle concentration and turbulence. Overall, we conclude that abrupt changes in lightning rates are clearly linked to changes in eruption behavior, and that rapid detection could aid monitoring efforts to characterize eruption rates or styles.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2018.10.016","usgsCitation":"Hargie, K.A., Van Eaton, A.R., Mastin, L.G., Holzworth, R.H., Ewert, J., and Pavolonis, M.J., 2019, Globally detected volcanic lightning and umbrella dynamics during the 2014 eruption of Kelud, Indonesia: Journal of Volcanology and Geothermal Research, v. 382, p. 81-91, https://doi.org/10.1016/j.jvolgeores.2018.10.016.","productDescription":"11 p.","startPage":"81","endPage":"91","ipdsId":"IP-096034","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468069,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2018.10.016","text":"Publisher Index 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Kirstin A","contributorId":257037,"corporation":false,"usgs":false,"family":"Hargie","given":"Kirstin","email":"","middleInitial":"A","affiliations":[{"id":51964,"text":"Portland State University, Oregon","active":true,"usgs":false}],"preferred":false,"id":813702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":813703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":813704,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holzworth, Robert H.","contributorId":210180,"corporation":false,"usgs":false,"family":"Holzworth","given":"Robert","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":813705,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ewert, John W. 0000-0003-2819-4057","orcid":"https://orcid.org/0000-0003-2819-4057","contributorId":204745,"corporation":false,"usgs":true,"family":"Ewert","given":"John W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":813706,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pavolonis, Michael J.","contributorId":199297,"corporation":false,"usgs":false,"family":"Pavolonis","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":813707,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203026,"text":"70203026 - 2019 - Conservation challenges emerging from free-roaming horse management: a vexing social-ecological mismatch","interactions":[],"lastModifiedDate":"2019-04-11T16:10:31","indexId":"70203026","displayToPublicDate":"2018-10-17T16:07:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1326,"text":"Conservation Letters","active":true,"publicationSubtype":{"id":10}},"title":"Conservation challenges emerging from free-roaming horse management: a vexing social-ecological mismatch","docAbstract":"Horses have been associated with human societies for millennia, and for many have come to symbolize wildness, power, resilience, and freedom. Although equids were extirpated from North America 10 000-12 000 years ago, descendants of domestic horses now roam freely in the USA and 17 other countries across six continents. In landscape-scale and experimental investigations, free-roaming horses (Equus caballus) have been shown to induce numerous alterations to native-ecosystem components and processes through influences on soil, water, plants, native ungulates, small mammals, birds, reptiles, and other aspects of biodiversity. However, we argue that the management of free-roaming horses both in the U.S. and globally has been complicated by “socio-ecological mismatches.” These three mismatches stem from discrepancies between: 1) steady-state (horse-management) goals vs. a stochastically variable environment; 2) different methods to evaluate evidence, resolve conflicting beliefs, and achieve objectives, in scientific vs. political processes; and 3) differing spatial and temporal scales between policy and management, and values of science vs. values of the general public. Such mismatches arise from an inability to reconcile conflicting processes and functions in a social-ecological system, often reflecting differences in the spatio-temporal scales at which diverse components operate. Here, we describe three types of mismatches, and illustrate how the ecological dynamics of aridlands generally fit poorly with existing approaches to horse management and policy. Such mismatches complicate cost-effective management of free-roaming horses and the ecosystems they inhabit, and reduce the palette of potential solutions.","language":"English","publisher":"Society for Conservation Biology","doi":"10.1016/j.biocon.2018.07.015","usgsCitation":"Beever, E., Huntsinger, L., and Petersen, S.L., 2019, Conservation challenges emerging from free-roaming horse management: a vexing social-ecological mismatch: Conservation Letters, v. 226, p. 321-328, https://doi.org/10.1016/j.biocon.2018.07.015.","productDescription":"8 p.","startPage":"321","endPage":"328","ipdsId":"IP-082659","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":362923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"226","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":147685,"corporation":false,"usgs":true,"family":"Beever","given":"Erik A.","email":"ebeever@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":760824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huntsinger, Lynn","contributorId":214805,"corporation":false,"usgs":false,"family":"Huntsinger","given":"Lynn","email":"","affiliations":[{"id":39117,"text":"Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":760825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petersen, Steven L.","contributorId":214312,"corporation":false,"usgs":false,"family":"Petersen","given":"Steven","email":"","middleInitial":"L.","affiliations":[{"id":39008,"text":"Plant and Wildlife Sciences Dept., Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":760826,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203303,"text":"70203303 - 2019 - Tropical cyclone projections: Changing climate threats for Pacific Island defense installations","interactions":[],"lastModifiedDate":"2019-05-02T15:06:24","indexId":"70203303","displayToPublicDate":"2018-10-16T14:11:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5829,"text":"Weather, Climate, and Society","printIssn":"1948-8327","active":true,"publicationSubtype":{"id":10}},"title":"Tropical cyclone projections: Changing climate threats for Pacific Island defense installations","docAbstract":"Potential changing climate threats in the tropical and subtropical North Pacific Ocean were assessed, using coupled ocean-atmosphere and atmosphere-only general circulation models, to explore their response to projected increasing greenhouse gas emissions. Tropical cyclone occurrence, described by their frequency and intensity, near islands housing major U.S. defense installations was the primary focus. Four island regions—Guam and Kwajalein Atoll in the tropical northwestern Pacific, Okinawa in the subtropical northwestern Pacific, and O‘ahu in the tropical northcentral Pacific—were considered, as they provide unique climate and geographical characteristics that either enhance or reduce the tropical cyclone risk. Guam experiences the most frequent and severe tropical cyclones, which often originate as weak systems close to the equator near Kwajalein and sometimes track far enough north to affect Okinawa, whereas intense storms are the least frequent around O‘ahu. From assessments of models that simulate well the tropical Pacific climate, it was determined that, with a projected warming climate, the number of tropical cyclones is likely to decrease for Guam and Kwajalein but remain about the same near Okinawa and O‘ahu; however, the maximum intensity of the strongest storms may increase in most regions. The likelihood of fewer but stronger storms will necessitate new localized assessments of the risk and vulnerabilities to tropical cyclones in the North Pacific.","language":"English","publisher":"American Meteorological Society","doi":"10.1175/WCAS-D-17-0112.1","usgsCitation":"Widlansky, M.J., Annamalai, H., Gingerich, S.B., Storlazzi, C.D., Marra, J.J., Hodges, K.I., Choy, B., and Kitoh, A., 2019, Tropical cyclone projections: Changing climate threats for Pacific Island defense installations: Weather, Climate, and Society, v. 11, no. 1, 13 p., https://doi.org/10.1175/WCAS-D-17-0112.1.","productDescription":"13 p.","ipdsId":"IP-090010","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":460559,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://centaur.reading.ac.uk/80182/1/wcas-d-17-0112.1.pdf","text":"External Repository"},{"id":363492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Widlansky, Matthew J.","contributorId":215334,"corporation":false,"usgs":false,"family":"Widlansky","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":39222,"text":"Joint Institute for Marine and Atmospheric Research, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":762068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Annamalai, Hariharasubramanian","contributorId":204461,"corporation":false,"usgs":false,"family":"Annamalai","given":"Hariharasubramanian","email":"","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":762069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":762070,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marra, John J.","contributorId":215335,"corporation":false,"usgs":false,"family":"Marra","given":"John","email":"","middleInitial":"J.","affiliations":[{"id":39223,"text":"NOAA/NESDIS/National Centers for Environmental Information","active":true,"usgs":false}],"preferred":false,"id":762071,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hodges, Kevin I.","contributorId":215336,"corporation":false,"usgs":false,"family":"Hodges","given":"Kevin","email":"","middleInitial":"I.","affiliations":[{"id":39224,"text":"University of Reading, U.K.","active":true,"usgs":false}],"preferred":false,"id":762072,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Choy, Barry","contributorId":215337,"corporation":false,"usgs":false,"family":"Choy","given":"Barry","email":"","affiliations":[{"id":39225,"text":"NOAA Commissioned Officer Corps/Liaison to U.S. Pacific Command,","active":true,"usgs":false}],"preferred":false,"id":762073,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kitoh, Akio","contributorId":215338,"corporation":false,"usgs":false,"family":"Kitoh","given":"Akio","email":"","affiliations":[{"id":39226,"text":"Japan Meteorological Business Support Center, Tsukuba, Japan","active":true,"usgs":false}],"preferred":false,"id":762074,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70203348,"text":"70203348 - 2019 - Near-surface environmentally forced changes in the Ross Ice Shelf observed with ambient seismic noise","interactions":[],"lastModifiedDate":"2019-05-07T13:16:54","indexId":"70203348","displayToPublicDate":"2018-10-16T13:14:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Near-surface environmentally forced changes in the Ross Ice Shelf observed with ambient seismic noise","docAbstract":"Continuous seismic observations across the Ross Ice Shelf reveal ubiquitous ambient res-\n\tonances at frequencies >5 Hz. These firn-trapped surface wave signals arise through wind\n\tand snow bedform interactions coupled with very low velocity structures. Progressive and long-term spectral changes are associated with surface snow redistribution by wind\n\tand with a January 2016 regional melt event. Modeling demonstrates high spectral sen-\n\tsitivity to near-surface (top several m) elastic parameters. We propose that spectral peak changes arise from surface snow redistribution in wind events, and to velocity drops re-\n\tflecting snow lattice weakening near 0◦C for the melt event. Percolation-related refrozen\n\tlayers and layer thinning may also contribute to long-term spectral changes after the melt\n\tevent. Single-station observations are inverted for elastic structure for multiple stations across the ice shelf. High-frequency ambient noise seismology presents opportunities for\n\tcontinuous assessment of near surface ice shelf or other firn environments.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018GL079665","usgsCitation":"Chaput, J., Aster, R., McGrath, D., Baker, M., Anthony, R.E., Gerstoft, P., Bromirski, P., Nyblade, A., Stephen, R., and Wiens, D., 2019, Near-surface environmentally forced changes in the Ross Ice Shelf observed with ambient seismic noise: Geophysical Research Letters, v. 45, no. 11, p. 11,187-11,196, https://doi.org/10.1029/2018GL079665.","productDescription":"10 p.","startPage":"11,187","endPage":"11,196","ipdsId":"IP-100650","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":468070,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2018gl079665","text":"External Repository"},{"id":363564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363552,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1029/2018GL079665"}],"otherGeospatial":"Ross Ice Shelf","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -210.9375,\n              -80.70399666821143\n            ],\n            [\n              -38.3203125,\n              -80.70399666821143\n            ],\n            [\n              -38.3203125,\n              -65.21989393613208\n            ],\n            [\n              -210.9375,\n              -65.21989393613208\n            ],\n            [\n              -210.9375,\n              -80.70399666821143\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Chaput, J.","contributorId":215407,"corporation":false,"usgs":false,"family":"Chaput","given":"J.","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":762256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aster, R. C.","contributorId":215408,"corporation":false,"usgs":false,"family":"Aster","given":"R. C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":762257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGrath, D.","contributorId":215409,"corporation":false,"usgs":false,"family":"McGrath","given":"D.","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":762258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baker, M.G.W.","contributorId":201473,"corporation":false,"usgs":false,"family":"Baker","given":"M.G.W.","email":"","affiliations":[],"preferred":false,"id":762259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gerstoft, P.","contributorId":215410,"corporation":false,"usgs":false,"family":"Gerstoft","given":"P.","email":"","affiliations":[{"id":15303,"text":"University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":762261,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bromirski, P.","contributorId":215411,"corporation":false,"usgs":false,"family":"Bromirski","given":"P.","email":"","affiliations":[{"id":15303,"text":"University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":762262,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nyblade, A.","contributorId":215412,"corporation":false,"usgs":false,"family":"Nyblade","given":"A.","email":"","affiliations":[{"id":39240,"text":"Pennsylvania State University, State College","active":true,"usgs":false}],"preferred":false,"id":762263,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stephen, R.A.","contributorId":215413,"corporation":false,"usgs":false,"family":"Stephen","given":"R.A.","email":"","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":762264,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wiens, D.","contributorId":215414,"corporation":false,"usgs":false,"family":"Wiens","given":"D.","email":"","affiliations":[{"id":35028,"text":"Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":762265,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70206997,"text":"70206997 - 2019 - India National Gas Hydrate Program Expedition 02 summary of scientific results:  Evaluation of natural gas hydrate-bearing pressure cores","interactions":[],"lastModifiedDate":"2019-12-03T08:17:52","indexId":"70206997","displayToPublicDate":"2018-10-16T08:16:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2382,"text":"Journal of Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"India National Gas Hydrate Program Expedition 02 summary of scientific results:  Evaluation of natural gas hydrate-bearing pressure cores","docAbstract":"India’s National Gas Hydrate Program (NGHP) Expedition-02 was conducted in 2015 with the goal of investigating numerous locations that had been determined to be prospective for gas hydrate at high saturation in sand-rich reservoirs.  Initial logging while drilling data revealed extensive sand-rich gas hydrate occurrences at multiple drill sites in two broad areas. These sites were further investigated through the acquisition and analyses of pressure cores designed to document 1) gas hydrate occurrence within the reservoirs; 2) the petrophysical nature of the reservoir and associated seals, in  their native state as well as during and after the dissociation of gas hydrate; 3) the geomechanical nature of the reservoir and seals; and 4) the geochemical nature of reservoir fluids.  The cores were initially evaluated at sea, and select subsamples were transferred for more extensive analyses at specialized laboratories both in Japan and in the United States.  The samples encompassed a wide range of gas hydrate saturation (from 0 to 100%) within reservoir sediments ranging from sandy silts to gravels, providing opportunities to extend and refine insights into the nature of gas hydrate reservoirs gained in previous programs.   Select findings and implications of this coordinated pressure-core evaluation program are reported in numerous papers within the NGHP-02 Special Thematic Volume and are summarized here with respect to the following issues: the evaluation and mitigation of core disturbance, the assessment of gas hydrate occurrence and saturation, the geomechanics and petrophysics of both reservoirs and “seals” in situ, and the potential dynamic geomechanical and petrophysical behavior of reservoir and seals during production.","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2018.10.020","usgsCitation":"Boswell, R., Yoneda, J., and Waite, W., 2019, India National Gas Hydrate Program Expedition 02 summary of scientific results:  Evaluation of natural gas hydrate-bearing pressure cores: Journal of Marine and Petroleum Geology, v. 108, p. 143-153, https://doi.org/10.1016/j.marpetgeo.2018.10.020.","productDescription":"11 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boswell, R.","contributorId":178206,"corporation":false,"usgs":false,"family":"Boswell","given":"R.","email":"","affiliations":[],"preferred":false,"id":776493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yoneda, J.","contributorId":195813,"corporation":false,"usgs":false,"family":"Yoneda","given":"J.","email":"","affiliations":[],"preferred":false,"id":776494,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science 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,{"id":70200353,"text":"70200353 - 2019 - Assessing effects of nonnative crayfish on mosquito survival","interactions":[],"lastModifiedDate":"2019-01-28T09:02:11","indexId":"70200353","displayToPublicDate":"2018-10-15T14:59:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing effects of nonnative crayfish on mosquito survival","docAbstract":"<p><span>Introductions of nonnative predators often reduce biodiversity and affect natural predator–prey relationships and may increase the abundance of potential disease vectors (e.g., mosquitoes) indirectly through competition or predation cascades. The Santa Monica Mountains (California, U.S.A.), situated in a global biodiversity hotspot, is an area of conservation concern due to climate change, urbanization, and the introduction of nonnative species. We examined the effect of nonnative crayfish (Procambarus clarkii) on an existing native predator, dragonfly nymphs (Aeshna sp.), and their mosquito larvae (Anopheles sp.) prey. We used laboratory experiments to compare the predation efficiency of both predators, separately and together, and field data on counts of dragonfly nymphs and mosquito larvae sampled from 13 local streams. We predicted a lower predation efficiency of crayfish compared with native dragonfly nymphs and a reduced predation efficiency of dragonfly nymphs in the presence of crayfish. Dragonfly nymphs were an order of magnitude more efficient predators than crayfish, and dragonfly nymph predation efficiency was reduced in the presence of crayfish. Field count data showed that populations of dragonfly nymphs and mosquito larvae were strongly correlated with crayfish presence in streams, such that sites with crayfish tended to have fewer dragonfly nymphs and more mosquito larvae. Under natural conditions, it is likely that crayfish reduce the abundance of dragonfly nymphs and their predation efficiency and thereby, directly and indirectly, lead to higher mosquito populations and a loss of ecosystem services related to disease vector control.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13198","usgsCitation":"Bucciarelli, G.M., Suh, D., Davis Lamb, A., Roberts, D., Sharpton, D., Shaffer, H.B., Fisher, R.N., and Kats, L.B., 2019, Assessing effects of nonnative crayfish on mosquito survival: Conservation Biology, v. 33, no. 1, p. 122-131, https://doi.org/10.1111/cobi.13198.","productDescription":"10 p.","startPage":"122","endPage":"131","ipdsId":"IP-096785","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468072,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.13198","text":"Publisher Index Page"},{"id":358383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.08218383789062,\n              33.98664113654014\n            ],\n            [\n              -118.4600830078125,\n              33.98664113654014\n            ],\n            [\n              -118.4600830078125,\n              34.25948651450623\n            ],\n            [\n              -119.08218383789062,\n              34.25948651450623\n            ],\n            [\n              -119.08218383789062,\n              33.98664113654014\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-28","publicationStatus":"PW","scienceBaseUri":"5c10a91fe4b034bf6a7e4ffd","contributors":{"authors":[{"text":"Bucciarelli, Gary M.","contributorId":209642,"corporation":false,"usgs":false,"family":"Bucciarelli","given":"Gary","email":"","middleInitial":"M.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":748473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suh, Daniel","contributorId":209641,"corporation":false,"usgs":false,"family":"Suh","given":"Daniel","email":"","affiliations":[{"id":37949,"text":"Pepperdine University","active":true,"usgs":false}],"preferred":false,"id":748472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis Lamb, Avery","contributorId":209643,"corporation":false,"usgs":false,"family":"Davis Lamb","given":"Avery","email":"","affiliations":[{"id":37949,"text":"Pepperdine University","active":true,"usgs":false}],"preferred":false,"id":748476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, Dave","contributorId":150673,"corporation":false,"usgs":false,"family":"Roberts","given":"Dave","email":"","affiliations":[{"id":13655,"text":"Montana State Univ.","active":true,"usgs":false}],"preferred":false,"id":748477,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sharpton, Debra","contributorId":209644,"corporation":false,"usgs":false,"family":"Sharpton","given":"Debra","email":"","affiliations":[{"id":37950,"text":"Mountains Restoration Trust","active":true,"usgs":false}],"preferred":false,"id":748478,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shaffer, H. Bradley","contributorId":202769,"corporation":false,"usgs":false,"family":"Shaffer","given":"H.","email":"","middleInitial":"Bradley","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":748474,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":748471,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kats, Lee B.","contributorId":208330,"corporation":false,"usgs":false,"family":"Kats","given":"Lee","email":"","middleInitial":"B.","affiliations":[{"id":37783,"text":"Seaver College, Pepperdine University","active":true,"usgs":false}],"preferred":false,"id":748475,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70215265,"text":"70215265 - 2019 - Prevalence of three-chick nests in Adelie Penguins Pygoscelis adeliae at Cape Crozier, Ross Island","interactions":[],"lastModifiedDate":"2020-12-15T22:16:56.132531","indexId":"70215265","displayToPublicDate":"2018-10-14T12:42:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2675,"text":"Marine Ornithology: Journal of Seabird Research and Conservation","onlineIssn":"2074-1235","printIssn":"1018-3337","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Prevalence of three-chick nests in Adelie Penguins <i>Pygoscelis adeliae</i> at Cape Crozier, Ross Island","title":"Prevalence of three-chick nests in Adelie Penguins Pygoscelis adeliae at Cape Crozier, Ross Island","docAbstract":"<p><span>In 2017/18, we recorded multiple instances of Adelie Penguin&nbsp;</span><i>Pygoscelis adeliae</i><span>&nbsp;nests containing three chicks at Cape Crozier, Ross Island, Antarctica. In one sub-colony, 0.67&nbsp;% of nests had three chicks, or two chicks and one egg. We found that some Adelie Penguin pairs were willing to brood three chicks, as well as chicks that were not their own. Many factors could lead to supra-normal clutches and broods, including foreign eggs added to a nest, adoption of chicks belonging to other parents, and double-yolked eggs. In order to understand the true cost of colonial breeding in large Adelie Penguin colonies and to assess the source of chicks or eggs in supra-normal clutches and broods, we conclude that future studies should examine the frequency of supra-normal clutches and broods and analyze the genetics of chicks within sub-colonies.&nbsp;</span></p>","language":"English","publisher":"Marine Ornithology","usgsCitation":"Morandini, V., Lescröel, A., Jongsomjit, D., Winquist, S., Schmidt, A., Ballard, G., Kappes, P., and Dugger, K., 2019, Prevalence of three-chick nests in Adelie Penguins Pygoscelis adeliae at Cape Crozier, Ross Island: Marine Ornithology: Journal of Seabird Research and Conservation, v. 47, no. 1, p. 77-80.","productDescription":"4 p.","startPage":"77","endPage":"80","ipdsId":"IP-100353","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":379377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381045,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.marineornithology.org/content/get.cgi?rn=1295"}],"otherGeospatial":"Antarctica, Ross Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              165.56396484375,\n              -77.91566898632583\n            ],\n            [\n              170.00244140625,\n              -77.91566898632583\n            ],\n            [\n              170.00244140625,\n              -77.05911588252368\n            ],\n            [\n              165.56396484375,\n              -77.05911588252368\n            ],\n            [\n              165.56396484375,\n              -77.91566898632583\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Morandini, Virginia","contributorId":243029,"corporation":false,"usgs":false,"family":"Morandini","given":"Virginia","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":801383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lescröel, Amelie","contributorId":243030,"corporation":false,"usgs":false,"family":"Lescröel","given":"Amelie","affiliations":[{"id":48619,"text":"pbcs","active":true,"usgs":false}],"preferred":false,"id":801384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jongsomjit, Dennis","contributorId":197716,"corporation":false,"usgs":false,"family":"Jongsomjit","given":"Dennis","email":"","affiliations":[],"preferred":false,"id":801385,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winquist, Suzanne","contributorId":243031,"corporation":false,"usgs":false,"family":"Winquist","given":"Suzanne","affiliations":[{"id":48619,"text":"pbcs","active":true,"usgs":false}],"preferred":false,"id":801386,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmidt, Annie","contributorId":197714,"corporation":false,"usgs":false,"family":"Schmidt","given":"Annie","affiliations":[],"preferred":false,"id":801387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ballard, Grant","contributorId":197700,"corporation":false,"usgs":false,"family":"Ballard","given":"Grant","email":"","affiliations":[],"preferred":false,"id":801388,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kappes, Peter","contributorId":243032,"corporation":false,"usgs":false,"family":"Kappes","given":"Peter","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":801389,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":801390,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70200340,"text":"70200340 - 2019 - Potential responses of the Lower Missouri River Shovelnose Sturgeon (Scaphirhynchus platorynchus) population to a commercial fishing ban","interactions":[],"lastModifiedDate":"2019-03-04T11:22:09","indexId":"70200340","displayToPublicDate":"2018-10-12T14:20:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Potential responses of the Lower Missouri River Shovelnose Sturgeon (<i>Scaphirhynchus platorynchus</i>) population to a commercial fishing ban","title":"Potential responses of the Lower Missouri River Shovelnose Sturgeon (Scaphirhynchus platorynchus) population to a commercial fishing ban","docAbstract":"<p><span>We developed an age‐structured population matrix model to perform population viability analysis for Lower Missouri River (LMR) shovelnose sturgeon (</span><i>Scaphirhynchus platorynchus</i><span>). We investigated potential effects of the commercial fishing moratorium put in place to help protect the similar‐appearing pallid sturgeon (</span><i>S. albus</i><span>). The model applies different components of total variance in life history parameters at different levels: sampling variance (parameter uncertainty) between model iterations; temporal variance (temporal environmental fluctuations) between time steps within iterations; and individual variance (individual differences) within each time‐step. The model predicted annual rates of population increase of 1.96% under historic fishing and 2.67% with removal of historic fishing. We identified combinations of fishing and harvest size restrictions that would permit a sustainable harvest of shovelnose sturgeon. Overall, the ban on commercial fishing of shovelnose sturgeon in the LMR due to similarity of appearance to pallid sturgeon should help the LMR shovelnose sturgeon population begin to rebound while decreasing any negative effects it may have had on pallid sturgeon populations.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jai.13701","usgsCitation":"Green, N., Wildhaber, M.L., and Albers, J.L., 2019, Potential responses of the Lower Missouri River Shovelnose Sturgeon (Scaphirhynchus platorynchus) population to a commercial fishing ban: Journal of Applied Ichthyology, v. 35, no. 1, p. 370-377, https://doi.org/10.1111/jai.13701.","productDescription":"8 p.","startPage":"370","endPage":"377","ipdsId":"IP-072152","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":468073,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.13701","text":"Publisher Index Page"},{"id":358350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lower Missouri River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.103515625,\n              37.020098201368114\n            ],\n            [\n              -90.087890625,\n              37.020098201368114\n            ],\n            [\n              -90.087890625,\n              49.009050809382046\n            ],\n            [\n              -116.103515625,\n              49.009050809382046\n            ],\n            [\n              -116.103515625,\n              37.020098201368114\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-20","publicationStatus":"PW","scienceBaseUri":"5c10a91fe4b034bf6a7e5004","contributors":{"authors":[{"text":"Green, Nicholas S. 0000-0002-8538-4191","orcid":"https://orcid.org/0000-0002-8538-4191","contributorId":202040,"corporation":false,"usgs":true,"family":"Green","given":"Nicholas S.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":748390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":748391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Albers, Janice L. 0000-0002-6312-8269 jalbers@usgs.gov","orcid":"https://orcid.org/0000-0002-6312-8269","contributorId":3972,"corporation":false,"usgs":true,"family":"Albers","given":"Janice","email":"jalbers@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":748392,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70200339,"text":"70200339 - 2019 - Water-quality trends in U.S. rivers, 2002 to 2012: Relations to levels of concern","interactions":[],"lastModifiedDate":"2018-10-23T10:20:52","indexId":"70200339","displayToPublicDate":"2018-10-12T14:16:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Water-quality trends in U.S. rivers, 2002 to 2012: Relations to levels of concern","docAbstract":"<p><span>Effective management and protection of&nbsp;</span>water resources<span>&nbsp;relies upon understanding how water-quality conditions are changing over time. Water-quality trends for&nbsp;ammonia, chloride, nitrate, sulfate, total dissolved solids (TDS), total nitrogen (TN) and total phosphorus (TP) were assessed at 762 sites located in the conterminous United States between 2002 and 2012. Annual mean concentrations at the start and end of the trend period were compared to an environmentally meaningful level of concern (LOC) to categorize patterns in water-quality changes. Trend direction, magnitude, and the proximity of concentrations to LOCs were investigated. Of the 1956 site-constituent combinations investigated, 30% were above the LOC in 2002, and only six (0.3%) crossed the LOC threshold, either from above or below, indicating that waterquality conditions are not substantially improving, nor are they degrading, in relation to the LOCs. The concentrations of ammonia, nitrate, sulfate, chloride, and TDS tended to be below the LOC, and in cases where the trend was increasing (concentrations approached the LOC from below), the increases were varied and small in magnitude. In contrast, concentrations of TN and TP tended to be above the LOC, and where the trend was decreasing (concentrations approached the LOC from above), the decreases were larger in magnitude and more consistent. These results indicate that if water-quality conditions continue to trend in the same direction, at the same rate, for all sites and constituents studied, elevated concentrations are more likely to drop below an LOC before low concentrations will exceed an LOC.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.09.377","usgsCitation":"Shoda, M.E., Sprague, L.A., Murphy, J.C., and Riskin, M.L., 2019, Water-quality trends in U.S. rivers, 2002 to 2012: Relations to levels of concern: Science of the Total Environment, v. 650, no. 2, p. 2314-2324, https://doi.org/10.1016/j.scitotenv.2018.09.377.","productDescription":"11 p.","startPage":"2314","endPage":"2324","ipdsId":"IP-099077","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468074,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.09.377","text":"Publisher Index Page"},{"id":358349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"650","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a8e0e4b034bf6a7e4dad","contributors":{"authors":[{"text":"Shoda, Megan E. 0000-0002-5343-9717 meshoda@usgs.gov","orcid":"https://orcid.org/0000-0002-5343-9717","contributorId":4352,"corporation":false,"usgs":true,"family":"Shoda","given":"Megan","email":"meshoda@usgs.gov","middleInitial":"E.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":748387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":167405,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":748388,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riskin, Melissa L. 0000-0001-6499-3775 mriskin@usgs.gov","orcid":"https://orcid.org/0000-0001-6499-3775","contributorId":654,"corporation":false,"usgs":true,"family":"Riskin","given":"Melissa","email":"mriskin@usgs.gov","middleInitial":"L.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748389,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70207113,"text":"70207113 - 2019 - Testing the potential role of brine reflux in the formation of sedimentary exhalative (Sedex) ore deposits","interactions":[],"lastModifiedDate":"2020-08-06T20:26:40.86865","indexId":"70207113","displayToPublicDate":"2018-10-12T09:36:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Testing the potential role of brine reflux in the formation of sedimentary exhalative (Sedex) ore deposits","docAbstract":"Sedimentary exhalative (sedex) ore deposits are the world’s largest Zn-Pb deposits. While the geologic processes that formed these deposits are generally well understood, the fundamental hydrologic processes that drove these massive hydrothermal systems remain an area of debate. We use numerical modeling to test an emerging hypothesis, supported by recent ore genesis research and sedex basin analysis, that brine reflux flow systems produced and drove the fluids that formed sedex deposits.  A previous numerical model of brine reflux, developed to study dolomitization, is adapted to a sedimentary basin with geologic features essential for sedex formation. We simulate the flow of evaporated brines through the basin and the evolution of salinity, temperature, and flow rates, and find that modeled values for these parameters for brines discharging to the seafloor exceed previously established physiochemical thresholds for ore formation (>170 g/L, >80°C, and total discharge volumes >107 m3 per meter perpendicular to the 2D model section). Sensitivity testing of this modest-sized basin highlights the large effect that aspects of the hydrogeologic framework can have on mineralizing potential of the reflux brines. Finally, modeling alternating periods of active and inactive evaporation produces pulsed brine reflux systems capable of producing multiple deposits of different age as observed in many sedex basins. The modeling thus supports the hypothesis that seawater evaporation on the basin margin significantly inboard of sedex deposits may be responsible for their formation. Sensitivity testing suggests that numerical models with more detailed, basin-specific geologic frameworks might be useful for assessing the mineral potential of sedimentary basins.","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2018.10.003","usgsCitation":"Manning, A.H., and Emsbo, P., 2019, Testing the potential role of brine reflux in the formation of sedimentary exhalative (Sedex) ore deposits: Ore Geology Reviews, v. 102, p. 862-874, https://doi.org/10.1016/j.oregeorev.2018.10.003.","productDescription":"13 p.","startPage":"862","endPage":"874","ipdsId":"IP-097533","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"links":[{"id":468075,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2018.10.003","text":"Publisher Index Page"},{"id":370079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"102","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":776870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emsbo, Poul 0000-0001-9421-201X pemsbo@usgs.gov","orcid":"https://orcid.org/0000-0001-9421-201X","contributorId":997,"corporation":false,"usgs":true,"family":"Emsbo","given":"Poul","email":"pemsbo@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":776871,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203053,"text":"70203053 - 2019 - Evidence for shelf acidification during the onset of the Paleocene-Eocene Thermal Maximum","interactions":[],"lastModifiedDate":"2019-04-16T08:37:22","indexId":"70203053","displayToPublicDate":"2018-10-12T08:35:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5790,"text":"Paleoceanography and Paleoclimatology","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for shelf acidification during the onset of the Paleocene-Eocene Thermal Maximum","docAbstract":"A transect of paleoshelf cores from Maryland and New Jersey contains a ~0.19 m to 1.61 m thick interval with reduced percentages of carbonate during the onset of the Paleocene-Eocene Thermal Maximum (PETM).  Outer paleoshelf cores are barren of nannofossils and correspond to two minor disconformities.  Middle paleoshelf cores contain a mixture of samples devoid of nannofossils and those with rare specimens characterized by significant dissolution (i.e., etching).  The magnitude of the decrease in carbonate cannot be explained by dilution by clastic material or dissolution resulting from the oxidation of organic matter during early diagenesis.  The observed preservation pattern implies a shoaling of the calcite compensation depth (CCD) and lysocline to the middle shelf.  This reduced carbonate interval is observed during the onset of the PETM on other continental margins raising the possibility that extreme shoaling of the CCD and lysocline was a global signal which is more significant than in previous estimates for the PETM.  An alternative scenario is that shoaling was restricted to the northwest Atlantic, enhanced by regional and local factors (eutrophication from rivers, microbial activity associated with warming) that exacerbated the impact of acidification on the shelf.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018PA003382","usgsCitation":"Bralower, T., Kump, L.R., Robinson, M.M., Self-Trail, J., Lyons, S.L., Babila, T., Ballaron, E., Freeman, K.H., Hajek, E.A., Rush, W., and Zachos, J.C., 2019, Evidence for shelf acidification during the onset of the Paleocene-Eocene Thermal Maximum: Paleoceanography and Paleoclimatology, v. 33, no. 12, p. 1408-1426, https://doi.org/10.1029/2018PA003382.","productDescription":"19 p.","startPage":"1408","endPage":"1426","ipdsId":"IP-096932","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":468076,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018pa003382","text":"Publisher Index Page"},{"id":362971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, New Jersey","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.73901367187499,\n              36.08462129606931\n            ],\n            [\n              -73.970947265625,\n              36.08462129606931\n            ],\n            [\n              -73.970947265625,\n              40.43022363450862\n            ],\n            [\n              -78.73901367187499,\n              40.43022363450862\n            ],\n            [\n              -78.73901367187499,\n              36.08462129606931\n            ]\n          ]\n        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Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":760951,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":760954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lyons, Shelby L.","contributorId":211823,"corporation":false,"usgs":false,"family":"Lyons","given":"Shelby","email":"","middleInitial":"L.","affiliations":[{"id":13035,"text":"Department of Geosciences, Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":760955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Babila, Tali","contributorId":211722,"corporation":false,"usgs":false,"family":"Babila","given":"Tali","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":760956,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ballaron, Edward","contributorId":214847,"corporation":false,"usgs":false,"family":"Ballaron","given":"Edward","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":760957,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Freeman, Katherine H.","contributorId":211830,"corporation":false,"usgs":false,"family":"Freeman","given":"Katherine","email":"","middleInitial":"H.","affiliations":[{"id":13035,"text":"Department of Geosciences, Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":760958,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hajek, Elizabeth A.","contributorId":195146,"corporation":false,"usgs":false,"family":"Hajek","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":760959,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rush, William","contributorId":214848,"corporation":false,"usgs":false,"family":"Rush","given":"William","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":760960,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zachos, James C.","contributorId":211829,"corporation":false,"usgs":false,"family":"Zachos","given":"James","email":"","middleInitial":"C.","affiliations":[{"id":38326,"text":"Earth & Planetary Sciences Department, University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":760961,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70203448,"text":"70203448 - 2019 - Formation and occurrence of ferromanganese crusts: Earth’s storehouse for critical metals","interactions":[],"lastModifiedDate":"2019-05-16T08:13:58","indexId":"70203448","displayToPublicDate":"2018-10-10T08:11:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1490,"text":"Elements","active":true,"publicationSubtype":{"id":10}},"title":"Formation and occurrence of ferromanganese crusts: Earth’s storehouse for critical metals","docAbstract":"Marine ferromanganese oxide crusts (Fe–Mn crusts) are potentially important metal resources formed on the seafloor by precipitation of dissolved and colloidal components from ambient seawater onto rocky surfaces. The unique properties and slow growth rates of the crusts promote adsorption of numerous elements from seawater: some, such as Te and Co, reach concentrations rarely encountered elsewhere in nature. Consequently, Fe–Mn crusts are potential sources of metals used in technologies considered essential for the transition to a low-carbon economy. However, the precise distributions and metal concentrations at regional and local scales are poorly constrained because of the diversity of geological, oceanographic and chemical processes involved in their formation.","language":"English","publisher":"GSW","doi":"10.2138/gselements.14.5.313","usgsCitation":"Lusty, P.A., Hein, J.R., and Josso, P., 2019, Formation and occurrence of ferromanganese crusts: Earth’s storehouse for critical metals: Elements, v. 14, no. 5, p. 313-318, https://doi.org/10.2138/gselements.14.5.313.","productDescription":"6 p.","startPage":"313","endPage":"318","ipdsId":"IP-101355","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":363811,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Whisman, Samantha 0000-0003-1710-6269","orcid":"https://orcid.org/0000-0003-1710-6269","contributorId":209875,"corporation":false,"usgs":true,"family":"Whisman","given":"Samantha","email":"","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":762750,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Lusty, Paul A.","contributorId":215591,"corporation":false,"usgs":false,"family":"Lusty","given":"Paul","email":"","middleInitial":"A.","affiliations":[{"id":25567,"text":"British Geological Survey","active":true,"usgs":false}],"preferred":false,"id":762748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":762747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Josso, Pierre","contributorId":215592,"corporation":false,"usgs":false,"family":"Josso","given":"Pierre","email":"","affiliations":[{"id":25567,"text":"British Geological Survey","active":true,"usgs":false}],"preferred":false,"id":762749,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205454,"text":"70205454 - 2019 - How hydrologic connectivity regulates water quality in river corridors","interactions":[],"lastModifiedDate":"2020-09-01T20:13:54.038019","indexId":"70205454","displayToPublicDate":"2018-10-09T18:20:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"How hydrologic connectivity regulates water quality in river corridors","docAbstract":"<p><span>Downstream flow in rivers is repeatedly delayed by hydrologic exchange with off‐channel storage zones where biogeochemical processing occurs. We present a dimensionless metric that quantifies river connectivity as the balance between downstream flow and the exchange of water with the bed, banks, and floodplains. The degree of connectivity directly influences downstream water quality — too little connectivity limits the amount of river water exchanged and leads to biogeochemically inactive water storage, while too much connectivity limits the contact time with sediments for reactions to proceed. Using a metric of reaction significance based on river connectivity, we provide evidence that intermediate levels of connectivity, rather than the highest or lowest levels, are the most efficient in removing nitrogen from Northeastern United States’ rivers. Intermediate connectivity balances the frequency, residence time, and contact volume with reactive sediments, which can maximize the reactive processing of dissolved contaminants and the protection of downstream water quality. Our simulations suggest denitrification dominantly occurs in riverbed hyporheic zones of streams and small rivers, whereas vertical turbulent mixing in contact with sediments dominates in mid‐size to large rivers. The metrics of connectivity and reaction significance presented here can facilitate scientifically based prioritizations of river management strategies to protect the values and functions of river corridors.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12691","usgsCitation":"Harvey, J., Gomez-Velez, J., Schmadel, N., Scott, D., Boyer, E.W., Alexander, R., Eng, K., Golden, H.E., Kettner, A., Konrad, C., Moore, R., Pizzuto, J., Schwarz, G., Soulsby, C., and Choi, J., 2019, How hydrologic connectivity regulates water quality in river corridors: Journal of the American Water Resources Association, v. 55, no. 2, p. 369-381, https://doi.org/10.1111/1752-1688.12691.","productDescription":"13 p.","startPage":"369","endPage":"381","ipdsId":"IP-098548","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468077,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1752-1688.12691","text":"External Repository"},{"id":367535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219085,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":771241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomez-Velez, Jesus","contributorId":219087,"corporation":false,"usgs":false,"family":"Gomez-Velez","given":"Jesus","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":771243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmadel, Noah","contributorId":219086,"corporation":false,"usgs":true,"family":"Schmadel","given":"Noah","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":771242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, Durelle","contributorId":219088,"corporation":false,"usgs":false,"family":"Scott","given":"Durelle","affiliations":[{"id":39959,"text":"Virginia Tech.","active":true,"usgs":false}],"preferred":false,"id":771244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyer, Elizabeth W.","contributorId":44659,"corporation":false,"usgs":false,"family":"Boyer","given":"Elizabeth","email":"","middleInitial":"W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":771245,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alexander, Richard","contributorId":219089,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":771246,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":771247,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Golden, Heather E.","contributorId":202423,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":36429,"text":"USEPA ORD","active":true,"usgs":false}],"preferred":false,"id":771248,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kettner, Albert","contributorId":202463,"corporation":false,"usgs":false,"family":"Kettner","given":"Albert","affiliations":[{"id":36451,"text":"Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO 80309, USA","active":true,"usgs":false}],"preferred":false,"id":771249,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Konrad, Christopher","contributorId":219091,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771250,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Moore, Richard","contributorId":219092,"corporation":false,"usgs":true,"family":"Moore","given":"Richard","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771251,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pizzuto, Jim","contributorId":219093,"corporation":false,"usgs":false,"family":"Pizzuto","given":"Jim","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":771252,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":219094,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":771253,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Soulsby, Chris","contributorId":219095,"corporation":false,"usgs":false,"family":"Soulsby","given":"Chris","email":"","affiliations":[{"id":39960,"text":"University of Aberdeen, UK","active":true,"usgs":false}],"preferred":false,"id":771254,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Choi, Jay 0000-0003-1276-481X jchoi@usgs.gov","orcid":"https://orcid.org/0000-0003-1276-481X","contributorId":219096,"corporation":false,"usgs":true,"family":"Choi","given":"Jay","email":"jchoi@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":771255,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70199965,"text":"70199965 - 2019 - Grounding simulation models with qualitative case studies: Toward a holistic framework to make climate science usable for US public land management","interactions":[],"lastModifiedDate":"2019-03-15T12:44:12","indexId":"70199965","displayToPublicDate":"2018-10-09T10:43:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5474,"text":"Climate Risk Management","active":true,"publicationSubtype":{"id":10}},"title":"Grounding simulation models with qualitative case studies: Toward a holistic framework to make climate science usable for US public land management","docAbstract":"<p><span>Policies directing agencies and public land managers to incorporate&nbsp;</span>climate change<span>&nbsp;into management face several barriers. These stem, in part, from a disconnect between the information that is produced and the information needs of local resource managers. A disproportionate focus on the natural and physical sciences in climate vulnerability and adaptation assessment obscure understandings of complex social systems and the interactions and feedbacks in social-ecological systems. We use a qualitative case study of bison management on Department of the Interior-managed and tribal lands to explore how a social-science driven Determinants and Analogue Vulnerability Assessment (DAVA) can inform ecological response models, specifically simulation models that account for multiple drivers of change. First, we illustrate how a DAVA approach can help to: 1) identify key processes, entities, and interactions across scales; 2) document local impacts, indicators, and monitoring efforts of drought and climate; and 3) identify major tradeoffs and uncertainties. We then demonstrate how qualitative narratives can inform simulation models by: 1) prioritizing model components included in modeling efforts; 2) framing joint management and climate scenarios; and 3) parameterizing and evaluating model performance. We do this by presenting a conceptual joint agent-based/state-and-transition simulation modeling framework. Simulation models can represent multiple interacting variables and can identify surprising, emergent outcomes that might not be evident from qualitative analysis alone, and we argue that qualitative case studies can ground simulation models in local contexts and help make them more structurally realistic and useful. Together, these can provide a step toward developing actionable&nbsp;climate change adaptation&nbsp;strategies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.crm.2018.09.002","usgsCitation":"Beeton, T.A., McNeeley, S.M., Miller, B.W., and Ojima, D.S., 2019, Grounding simulation models with qualitative case studies: Toward a holistic framework to make climate science usable for US public land management: Climate Risk Management, v. 23, p. 50-66, https://doi.org/10.1016/j.crm.2018.09.002.","productDescription":"17 p.","startPage":"50","endPage":"66","ipdsId":"IP-079241","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"links":[{"id":468078,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.crm.2018.09.002","text":"Publisher Index Page"},{"id":358205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f76e4b0fc368eb53835","contributors":{"authors":[{"text":"Beeton, Tyler A.","contributorId":208509,"corporation":false,"usgs":false,"family":"Beeton","given":"Tyler","email":"","middleInitial":"A.","affiliations":[{"id":37812,"text":"Colorado State University; North Central Climate Science Center","active":true,"usgs":false}],"preferred":false,"id":747504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McNeeley, Shannon M.","contributorId":208510,"corporation":false,"usgs":false,"family":"McNeeley","given":"Shannon","email":"","middleInitial":"M.","affiliations":[{"id":37812,"text":"Colorado State University; North Central Climate Science Center","active":true,"usgs":false}],"preferred":false,"id":747505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Brian W. 0000-0003-1716-1161 bwmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":191731,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"bwmiller@usgs.gov","middleInitial":"W.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":false,"id":747503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ojima, Dennis S.","contributorId":208511,"corporation":false,"usgs":false,"family":"Ojima","given":"Dennis","email":"","middleInitial":"S.","affiliations":[{"id":37812,"text":"Colorado State University; North Central Climate Science Center","active":true,"usgs":false}],"preferred":false,"id":747506,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70199802,"text":"70199802 - 2019 - Mineralization at oceanic transform faults and fracture zones","interactions":[],"lastModifiedDate":"2018-10-09T15:14:28","indexId":"70199802","displayToPublicDate":"2018-10-09T10:38:24","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Mineralization at oceanic transform faults and fracture zones","docAbstract":"<p id=\"sp0020\"><span>Mineral formation in the modern oceans can take place over millions of years as a result precipitation from ambient ocean water, or orders of magnitude more rapidly from&nbsp;hydrothermal activity&nbsp;related to magmatic and tectonic processes. Here, we review associations between&nbsp;transform faults&nbsp;and related&nbsp;fracture zones&nbsp;and marine minerals. We define&nbsp;</span><i>marine transform faults</i><span>&nbsp;as&nbsp;strike-slip or oblique faults&nbsp;that accommodate lateral offsets along&nbsp;plate boundaries&nbsp;or shifting crustal blocks, and&nbsp;</span><i>fracture zones</i><span>&nbsp;as relicts of transform faulting extending beyond&nbsp;mid-ocean ridge&nbsp;offsets. We consider specifically the modern ocean and exclude regions where the transform or fracture has clearly not generated the&nbsp;mineral deposit, such as the Clarion-Clipperton fracture zone&nbsp;manganese nodule&nbsp;field. As a result, the summarized deposits are mainly hydrothermal in origin.</span></p><p id=\"sp0025\"><span>Oceanic transform faulting has rarely been considered of interest for the mineralization and formation of&nbsp;ore deposits; however, there are locations in the modern oceans where transform faults and fracture zones are spatially related to mineral deposits. These occurrences suggest that transform faulting and fracture zones may be linked to mineralization at (A) intersections with other&nbsp;tectonic features, (B) where transform faults begin to resemble rifts through intra-transform&nbsp;crustal thinning, spreading, and the formation of&nbsp;pull-apart basins, and (C) as a result of&nbsp;</span>serpentinization<span>&nbsp;</span>reactions due to exposure of deep-seated rocks by fracturing and faulting.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Transform plate boundaries and fracture zones","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-812064-4.00005-0","isbn":"978-0128120644","usgsCitation":"Gartman, A., and Hein, J.R., 2019, Mineralization at oceanic transform faults and fracture zones, chap. <i>of</i> Transform plate boundaries and fracture zones, p. 105-118, https://doi.org/10.1016/B978-0-12-812064-4.00005-0.","productDescription":"14 p.","startPage":"105","endPage":"118","ipdsId":"IP-091486","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":358216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f68e4b0fc368eb53807","contributors":{"editors":[{"text":"Duarte, Joao C.","contributorId":208518,"corporation":false,"usgs":false,"family":"Duarte","given":"Joao","email":"","middleInitial":"C.","affiliations":[{"id":34002,"text":"University of Lisbon, Portugal","active":true,"usgs":false}],"preferred":false,"id":747531,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":746683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":746684,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70199952,"text":"70199952 - 2019 - Assessment of chronic low‐dose elemental and radiological exposures of biota at the Kanab North uranium mine site in the Grand Canyon watershed","interactions":[],"lastModifiedDate":"2019-01-28T09:17:13","indexId":"70199952","displayToPublicDate":"2018-10-09T10:11:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of chronic low‐dose elemental and radiological exposures of biota at the Kanab North uranium mine site in the Grand Canyon watershed","docAbstract":"<p><span>High‐grade U ore deposits are in various stages of exploitation across the Grand Canyon watershed, yet the effects of U mining on ecological and cultural resources are largely unknown. We characterized the concentrations of Al, As, Bi, Cd, Co, Cu, Fe, Pb, Hg, Mo, Ni, Se, Ag, Tl, Th, U, and Zn, gross alpha and beta activities, and U and Th radioisotopes in soil, vegetation (</span><i>Hesperostipa comata</i><span>,&nbsp;</span><i>Artemisia tridentata, Tamarix chinensis</i><span>), and rodents (</span><i>Peromyscus maniculatus</i><span>,&nbsp;</span><i>P. boylii</i><span>) to waste material at the Kanab North mine, a mine with decades‐long surficial contamination, and compared the concentrations (</span><i>P</i><span> &lt; 0.01) to those at a premining site (Canyon Mine). Rodent tissues were also analyzed for radium‐226 and microscopic lesions. Radioactivities and some elemental concentrations (e.g., Co, Pb, U) were greater in the Kanab North mine biological samples than in Canyon Mine biota, indicating a mining‐related elemental signature. Mean rodent Ra‐226 (111 Bq/kg dry weight [dry wt]) was 3 times greater than expected, indicating radioactive disequilibrium. Multiple soil sample U concentrations exceeded a screening benchmark, growth inhibition thresholds for sensitive plants, and an EC</span><sub>20</sub><span>&nbsp;for a soil arthropod. Lesions associated with metals exposure were also observed more frequently in rodents at Kanab North than those at Canyon Mine but could not be definitively attributed to U mining. Our results indicate that Kanab North biota have taken up U mining‐related elements owing to chronic exposure to surficial contamination. However, no literature‐based effects thresholds for small rodents were exceeded, and only a few soil and vegetation thresholds for sensitive species were exceeded; therefore, adverse effects to biota from U mining‐related elements at Kanab North are unlikely despite chronic exposure.&nbsp;</span></p>","language":"English","publisher":"SETAC","doi":"10.1002/ieam.4095","usgsCitation":"Cleveland, D.M., Hinck, J.E., and Lankton, J.S., 2019, Assessment of chronic low‐dose elemental and radiological exposures of biota at the Kanab North uranium mine site in the Grand Canyon watershed: Integrated Environmental Assessment and Management, v. 15, no. 1, p. 112-125, https://doi.org/10.1002/ieam.4095.","productDescription":"14 p.","startPage":"112","endPage":"125","ipdsId":"IP-095624","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":460565,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4095","text":"Publisher Index Page"},{"id":437626,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7X0660R","text":"USGS data release","linkHelpText":"Chemical analyses and histopathology of small rodents, vegetation, and soil collected from the Kanab North breccia pipe uranium mine in the Grand Canyon watershed"},{"id":437625,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99GDFWB","text":"USGS data release","linkHelpText":"Results from radiochemical analyses of small rodent whole bodies collected from breccia pipe uranium mines and reference locations in the Grand Canyon watershed."},{"id":358195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-23","publicationStatus":"PW","scienceBaseUri":"5bc02f77e4b0fc368eb5383d","contributors":{"authors":[{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":747460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":747461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":747462,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203982,"text":"70203982 - 2019 - Holocene surface rupture history of an active forearc fault redefines seismic hazard in Southwestern British Columbia, Canada","interactions":[],"lastModifiedDate":"2019-06-26T09:47:16","indexId":"70203982","displayToPublicDate":"2018-10-08T09:33:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Holocene surface rupture history of an active forearc fault redefines seismic hazard in Southwestern British Columbia, Canada","docAbstract":"Characterizing the hazard associated with Quaternary‐active faults in the forearc crust of the northern Cascadia subduction zone has proven challenging due to historically low rates of seismicity, late Quaternary glacial scouring, and dense vegetation that often obscures fault‐related geomorphic features. We couple lidar topography with paleoseismic trenching across the Leech River Fault on southern Vancouver Island to produce the first detailed surface rupture history of an onland forearc fault in British Columbia, Canada. The results indicate that this fault produced three surface‐rupturing earthquakes in the last ∼9 kyr and is therefore capable of producing large (Mw>6) earthquakes in the future. We provide new constraints on the fault's length (∼130 km) and Holocene slip rate (≥0.2–0.3 mm/year) that, together with the earthquake ages, should be incorporated into new seismic hazard assessments and building code practices relevant to urban centers in southwestern British Columbia (Canada) and northwestern Washington State (United States).","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018GL078711","usgsCitation":"Morell, K.D., Regalla, C., Amos, C., Bennett, S., Leonard, L., Graham, A., Reedy, T., Levson, V., and Telka, A., 2019, Holocene surface rupture history of an active forearc fault redefines seismic hazard in Southwestern British Columbia, Canada: Geophysical Research Letters, v. 45, no. 21, p. 11605-11611, https://doi.org/10.1029/2018GL078711.","productDescription":"7 p.","startPage":"11605","endPage":"11611","ipdsId":"IP-096512","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":468079,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018gl078711","text":"Publisher Index Page"},{"id":365056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"British Columbia","otherGeospatial":"Leech River Fault, Vancouver Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.82690429687499,\n              48.33114778409108\n            ],\n            [\n              -123.27896118164061,\n              48.33114778409108\n            ],\n            [\n              -123.27896118164061,\n              48.4965876108066\n            ],\n            [\n              -123.82690429687499,\n              48.4965876108066\n            ],\n            [\n              -123.82690429687499,\n              48.33114778409108\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"21","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Morell, K. D.","contributorId":216581,"corporation":false,"usgs":false,"family":"Morell","given":"K.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":765096,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regalla, C.","contributorId":216582,"corporation":false,"usgs":false,"family":"Regalla","given":"C.","affiliations":[],"preferred":false,"id":765097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amos, C.","contributorId":216583,"corporation":false,"usgs":false,"family":"Amos","given":"C.","email":"","affiliations":[],"preferred":false,"id":765098,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, S. 0000-0002-9772-4122","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":29230,"corporation":false,"usgs":true,"family":"Bennett","given":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":765099,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leonard, L.","contributorId":48013,"corporation":false,"usgs":true,"family":"Leonard","given":"L.","email":"","affiliations":[],"preferred":false,"id":765100,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graham, A.","contributorId":24517,"corporation":false,"usgs":true,"family":"Graham","given":"A.","email":"","affiliations":[],"preferred":false,"id":765101,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reedy, T.","contributorId":216584,"corporation":false,"usgs":false,"family":"Reedy","given":"T.","email":"","affiliations":[],"preferred":false,"id":765102,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Levson, V.","contributorId":216585,"corporation":false,"usgs":false,"family":"Levson","given":"V.","affiliations":[],"preferred":false,"id":765103,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Telka, A.","contributorId":53668,"corporation":false,"usgs":true,"family":"Telka","given":"A.","email":"","affiliations":[],"preferred":false,"id":765104,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70222369,"text":"70222369 - 2019 - Point sources and agricultural practices control spatial-temporal patterns of orthophosphate in tributaries to Chesapeake Bay","interactions":[],"lastModifiedDate":"2021-07-23T21:01:11.543757","indexId":"70222369","displayToPublicDate":"2018-10-06T15:53:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Point sources and agricultural practices control spatial-temporal patterns of orthophosphate in tributaries to Chesapeake Bay","docAbstract":"<p><span>Orthophosphate&nbsp;(PO</span><sub>4</sub><span>) is the most bioavailable form of phosphorus (P). Excess PO</span><sub>4</sub><span>&nbsp;may cause&nbsp;harmful algal blooms&nbsp;in&nbsp;aquatic ecosystems. A major restoration effort is underway for Chesapeake Bay (CB) to reduce P, nitrogen, and sediment loading to CB. Although PO</span><sub>4</sub><span>&nbsp;cycling and delivery to streams has been characterized in small-scale studies, regional drivers of PO</span><sub>4</sub><span>&nbsp;patterns remain poorly understood because most water quality trend assessment focus on total P. Moreover, these trend assessments are usually at an annual timestep. To address this research gap, we analyzed PO</span><sub>4</sub><span>&nbsp;patterns over a 9-year period at 53 monitoring stations across the CB watershed to: 1) characterize the role of PO</span><sub>4</sub><span>&nbsp;in total P fluxes and trends; 2) describe spatial and temporal patterns of PO</span><sub>4</sub><span>&nbsp;concentrations across seasons and&nbsp;<a class=\"topic-link\" title=\"Learn more about Streamflow from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/streamflow\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/streamflow\">streamflow</a>; and 3) explore factors explaining these patterns. Agricultural watersheds exported the most total P compared with watersheds under different land uses (e.g., urban or forest), with PO</span><sub>4</sub><span>&nbsp;comprising up to 50% of those exports. Although PO</span><sub>4</sub><span>&nbsp;exports are declining at many sites, some agricultural regions are experiencing increasing trends at a rate sufficient to drive total P trends. Regression modeling results suggest that point source load reductions are likely responsible for decreasing PO</span><sub>4</sub><span>&nbsp;concentrations observed at many sites. Watersheds with more Conservation Reserve Program enrollment had lower summer PO</span><sub>4</sub><span>&nbsp;concentrations, highlighting the effectiveness of this practice. Manure inputs strongly predicted PO</span><sub>4</sub><span>&nbsp;concentrations at high flows across all seasons. Both manure applications and&nbsp;conservation tillage&nbsp;were correlated with changes in PO</span><sub>4</sub><span>&nbsp;concentrations at high flow, suggesting these activities could contribute to increasing PO</span><sub>4</sub><span>&nbsp;concentrations. This study highlights the effectiveness of point source control for reducing PO</span><sub>4</sub><span>&nbsp;exports and underscores the need for management strategies to target sources, practices, and landscape factors determining PO</span><sub>4</sub><span>&nbsp;loss from soils where manure inputs remain high.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.10.062","usgsCitation":"Fanelli, R., Blomquist, J.D., and Hirsch, R.M., 2019, Point sources and agricultural practices control spatial-temporal patterns of orthophosphate in tributaries to Chesapeake Bay: Science of the Total Environment, v. 652, p. 422-433, https://doi.org/10.1016/j.scitotenv.2018.10.062.","productDescription":"12 p.","startPage":"422","endPage":"433","ipdsId":"IP-096738","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":468080,"rank":0,"type":{"id":40,"text":"Open Access Publisher 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0000-0002-0874-1925","orcid":"https://orcid.org/0000-0002-0874-1925","contributorId":206608,"corporation":false,"usgs":true,"family":"Fanelli","given":"Rosemary M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blomquist, Joel D. 0000-0002-0140-6534","orcid":"https://orcid.org/0000-0002-0140-6534","contributorId":215461,"corporation":false,"usgs":true,"family":"Blomquist","given":"Joel","middleInitial":"D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":819777,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204366,"text":"70204366 - 2019 - Microhabitat use of native fishes in the Kootenai River: A fine‐scale evaluation of large‐scale habitat rehabilitation efforts","interactions":[],"lastModifiedDate":"2019-12-22T14:47:40","indexId":"70204366","displayToPublicDate":"2018-10-05T12:22:12","publicationYear":"2019","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":"Microhabitat use of native fishes in the Kootenai River: A fine‐scale evaluation of large‐scale habitat rehabilitation efforts","docAbstract":"<p><span>Fish and microhabitat data were collected at 542 prepositioned electrofishing sites (surface area of each site&nbsp;=&nbsp;4&nbsp;m</span><sup>2</sup><span>) in the Kootenai River, Idaho, during 2014 and 2015 to evaluate small‐scale habitat use by fishes, as it relates to large‐scale habitat rehabilitation efforts. Samples were collected from a 12‐km braided segment of river that had received localized habitat rehabilitation treatments since 2011. Fish and microhabitat data were collected to investigate habitat drivers related to the occurrence and relative abundance of fishes. Each sampling location was selected at random and characterized as “treated” (i.e., rehabilitated) or “untreated” based on proximity to habitat treatments. Fishes sampled from backwaters composed 71% of the overall catch and 84% of the catch from locally untreated areas of the river. Species‐specific regression models suggested that water depth and current velocity influenced the occurrence and abundance of fishes. In particular, shallow habitats with low current velocities were important for small‐bodied native fishes and likely serve as important rearing areas for juvenile fish. These habitat conditions typically characterize backwater and channel‐margin habitats that are vulnerable to anthropogenic perturbation. Prioritizing process‐based rehabilitation of these areas in large, regulated rivers would allow natural channel‐forming processes for the benefit of native fishes.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3366","usgsCitation":"Branigan, P.R., Quist, M.C., Bradley B. Shepard, and Ireland, S.C., 2019, Microhabitat use of native fishes in the Kootenai River: A fine‐scale evaluation of large‐scale habitat rehabilitation efforts: River Research and Applications, v. 34, no. 10, p. 1267-1277, https://doi.org/10.1002/rra.3366.","productDescription":"11 p.","startPage":"1267","endPage":"1277","ipdsId":"IP-082011","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":365797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.76269531249999,\n              48.44377831058802\n            ],\n            [\n              -116.03759765625,\n              48.44377831058802\n            ],\n            [\n              -116.03759765625,\n              48.980216985374994\n            ],\n            [\n              -116.76269531249999,\n              48.980216985374994\n            ],\n            [\n              -116.76269531249999,\n              48.44377831058802\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Branigan, Philip R.","contributorId":217303,"corporation":false,"usgs":false,"family":"Branigan","given":"Philip","email":"","middleInitial":"R.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":766548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":766547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley B. Shepard","contributorId":217304,"corporation":false,"usgs":false,"family":"Bradley B. Shepard","affiliations":[{"id":39600,"text":"consulting company","active":true,"usgs":false}],"preferred":false,"id":766549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ireland, Susan C.","contributorId":217305,"corporation":false,"usgs":false,"family":"Ireland","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":39601,"text":"kooteni tribe","active":true,"usgs":false}],"preferred":false,"id":766550,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70199939,"text":"70199939 - 2019 - Towards globally customizable ecosystem service models","interactions":[],"lastModifiedDate":"2018-10-04T13:52:16","indexId":"70199939","displayToPublicDate":"2018-10-04T13:52:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Towards globally customizable ecosystem service models","docAbstract":"<p><span>Scientists, stakeholders and decision makers face trade-offs between adopting simple or complex approaches when modeling ecosystem services (ES). Complex approaches may be time- and data-intensive, making them more challenging to implement and difficult to scale, but can produce more accurate and locally specific results. In contrast, simple approaches allow for faster assessments but may sacrifice accuracy and credibility. The&nbsp;</span>ARtificial Intelligence<span>&nbsp;for&nbsp;Ecosystem Services&nbsp;(ARIES) modeling platform has endeavored to provide a spectrum of simple to complex ES models that are readily accessible to a broad range of users. In this paper, we describe a series of five “Tier 1” ES models that users can run anywhere in the world with no user input, while offering the option to easily customize models with context-specific data and parameters. This approach enables rapid ES quantification, as models are automatically adapted to the application context. We provide examples of customized ES assessments at three locations on different continents and demonstrate the use of ARIES' spatial multi-criteria analysis module, which enables spatial prioritization of ES for different beneficiary groups. The models described here use publicly available global- and continental-scale data as defaults. Advanced users can modify data input requirements, model parameters or entire model structures to capitalize on high-resolution data and context-specific&nbsp;model formulations. Data and methods contributed by the research community become part of a growing knowledge base, enabling faster and better ES assessment for users worldwide. By engaging with the ES modeling community to further develop and customize these models based on user needs, spatiotemporal contexts, and scale(s) of analysis, we aim to cover the full arc from simple to complex assessments, minimizing the additional cost to the user when increased complexity and accuracy are needed.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.09.371","usgsCitation":"Martinez-Lopez, J., Bagstad, K.J., Balbi, S., Magrach, A., Voigt, B., Athanasiadis, I., Pascual, M., Willcock, S., and Villa, F., 2019, Towards globally customizable ecosystem service models: Science of the Total Environment, v. 650, no. 2, p. 2325-2336, https://doi.org/10.1016/j.scitotenv.2018.09.371.","productDescription":"12 p.","startPage":"2325","endPage":"2336","ipdsId":"IP-098617","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468081,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.09.371","text":"Publisher Index Page"},{"id":358142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"650","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f6be4b0fc368eb53809","contributors":{"authors":[{"text":"Martinez-Lopez, Javier 0000-0003-4857-3396","orcid":"https://orcid.org/0000-0003-4857-3396","contributorId":208480,"corporation":false,"usgs":false,"family":"Martinez-Lopez","given":"Javier","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":747385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":747384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balbi, Stefano 0000-0001-8190-5968","orcid":"https://orcid.org/0000-0001-8190-5968","contributorId":208481,"corporation":false,"usgs":false,"family":"Balbi","given":"Stefano","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":747386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magrach, Ainhoa 0000-0003-2155-7556","orcid":"https://orcid.org/0000-0003-2155-7556","contributorId":208482,"corporation":false,"usgs":false,"family":"Magrach","given":"Ainhoa","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":747387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Voigt, Brian","contributorId":208483,"corporation":false,"usgs":false,"family":"Voigt","given":"Brian","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":747388,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Athanasiadis, Ioannis 0000-0003-2764-0078","orcid":"https://orcid.org/0000-0003-2764-0078","contributorId":208484,"corporation":false,"usgs":false,"family":"Athanasiadis","given":"Ioannis","email":"","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":747389,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pascual, Marta 0000-0002-2204-7745","orcid":"https://orcid.org/0000-0002-2204-7745","contributorId":208485,"corporation":false,"usgs":false,"family":"Pascual","given":"Marta","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":747390,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Willcock, Simon 0000-0001-9534-9114","orcid":"https://orcid.org/0000-0001-9534-9114","contributorId":201576,"corporation":false,"usgs":false,"family":"Willcock","given":"Simon","email":"","affiliations":[{"id":36207,"text":"Bangor University","active":true,"usgs":false}],"preferred":false,"id":747391,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Villa, Ferdinando 0000-0002-5114-3007","orcid":"https://orcid.org/0000-0002-5114-3007","contributorId":208486,"corporation":false,"usgs":false,"family":"Villa","given":"Ferdinando","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":747392,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70227761,"text":"70227761 - 2019 - Relationships between landscape constraints and a crayfish assemblage with consideration of competitor presence","interactions":[],"lastModifiedDate":"2022-01-28T13:22:22.29389","indexId":"70227761","displayToPublicDate":"2018-10-04T07:18:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between landscape constraints and a crayfish assemblage with consideration of competitor presence","docAbstract":"<h3 id=\"ddi12840-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Crayfish are globally diverse and one of the most important taxa in North American streams. Despite their importance, many species are of conservation concern and efforts to improve conditions are limited. Here, we address two major impediments to improving conditions: (a) our lack of knowledge of the interplay among natural landscape and human-induced changes; and (b) a very limited understanding of how species interactions affect overall crayfish distributions.</p><h3 id=\"ddi12840-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Ozark Highlands ecoregion, USA.</p><h3 id=\"ddi12840-sec-0003-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We used both existing data and field-collected data to examine the relationships between 12<span>&nbsp;</span><i>Faxonius</i><span>&nbsp;</span>species and physicochemical variables at multiple spatial scales. Data were analysed using a generalized linear mixed model. After fitting our environmental variables, we also considered possible relationships between species considered strong competitors and species occurrence.</p><h3 id=\"ddi12840-sec-0004-title\" class=\"article-section__sub-title section1\">Results</h3><p>Our results indicated that elevation, lithology, an interaction between drainage area and anthropogenic disturbance, and the presence of strong competitors were associated with<span>&nbsp;</span><i>Faxonius</i><span>&nbsp;</span>occurrences.<span>&nbsp;</span><i>Faxonius</i><span>&nbsp;</span>occurrences were associated with assemblage-structuring variables: lithology and elevation. More interestingly, we found several patterns of interactions between drainage area and disturbance. The most common pattern among several species was a decline in occurrence in larger drainages when disturbance was high; however, longpincered crayfish (<i>Faxonius longidigitus</i>) was more likely to occupy large drainages as disturbance increased. Additionally, the presence of species considered strong competitors resulted in lower occurrence probability for many species, including two of the species classified as competitors.</p><h3 id=\"ddi12840-sec-0005-title\" class=\"article-section__sub-title section1\">Main conclusions</h3><p>In addition to identifying the relationships between native species and assemblage-structuring variables, we show how the probability of species occurrences relate to interactions between disturbance and natural landscape features. Further, our results suggest competitor presence also plays a role in structuring distributions at the stream segment scale. Our findings emphasize the value of considering both competitor presence and interactions among landscape variables and disturbances in structuring crayfish assemblages.</p>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12840","usgsCitation":"Mouser, J., Mollenhauer, R., and Brewer, S.K., 2019, Relationships between landscape constraints and a crayfish assemblage with consideration of competitor presence: Diversity and Distributions, v. 25, no. 1, p. 61-73, https://doi.org/10.1111/ddi.12840.","productDescription":"13 p.","startPage":"61","endPage":"73","ipdsId":"IP-091645","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468082,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12840","text":"Publisher Index Page"},{"id":395040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri","otherGeospatial":"Ozark Highlands ecoregion","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.603271484375,\n              34.134541681937364\n            ],\n            [\n              -89.23095703125,\n              34.134541681937364\n            ],\n            [\n              -89.23095703125,\n              38.35888785866677\n            ],\n            [\n              -94.603271484375,\n              38.35888785866677\n            ],\n            [\n              -94.603271484375,\n              34.134541681937364\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Mouser, J.B.","contributorId":244447,"corporation":false,"usgs":false,"family":"Mouser","given":"J.B.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":832064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mollenhauer, Robert","contributorId":242899,"corporation":false,"usgs":false,"family":"Mollenhauer","given":"Robert","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":832065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832066,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70200424,"text":"70200424 - 2019 - Overview of the oxygen isotope systematics of land snails from North America","interactions":[],"lastModifiedDate":"2019-02-21T14:54:00","indexId":"70200424","displayToPublicDate":"2018-10-03T10:46:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Overview of the oxygen isotope systematics of land snails from North America","docAbstract":"<p><span>Continental paleoclimate proxies with near-global coverage are rare. Land snail δ</span><span class=\"sup\">18</span><span>O is one of the few proxies abundant in Quaternary sediments ranging from the tropics to the high Arctic tundra. However, its application in paleoclimatology remains difficult, attributable in part to limitations in published calibration studies. Here we present shell δ</span><span class=\"sup\">18</span><span>O of modern small (&lt;10 mm) snails across North America, from Florida (30°N) to Manitoba (58°N), to examine the main climatic controls on shell δ</span><span class=\"sup\">18</span><span>O at a coarse scale. This transect is augmented by published δ</span><span class=\"sup\">18</span><span>O values, which expand our coverage from Jamaica (18°N) to Alaska (64°N). Results indicate that shell δ</span><span class=\"sup\">18</span><span>O primarily tracks the average annual precipitation δ</span><span class=\"sup\">18</span><span>O. Shell δ</span><span class=\"sup\">18</span><span>O increases 0.5–0.7‰ for every 1‰ increase in precipitation δ</span><span class=\"sup\">18</span><span>O, and 0.3–0.7‰ for every 1°C increase in temperature. These relationships hold true when all taxa are included regardless of body size (ranging from ~1.6 to ~58 mm), ecology (herbivores, omnivores, and carnivores), or behavior (variable seasonal active periods and mobility habits). Future isotopic investigations should include calibration studies in tropical and high-latitude settings, arid environments, and along altitudinal gradients to test if the near linear relationship between shell and meteoric precipitation δ</span><span class=\"sup\">18</span><span>O observed on a continental scale remains significant.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2018.79","usgsCitation":"Yanes, Y., Al-Qattan, N.M., Rech, J.A., Pigati, J.S., Dodd, J.P., and Nekola, J.C., 2019, Overview of the oxygen isotope systematics of land snails from North America: Quaternary Research, v. 91, no. 1, p. 329-344, https://doi.org/10.1017/qua.2018.79.","productDescription":"16 p.","startPage":"329","endPage":"344","ipdsId":"IP-094692","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":358472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"91","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-03","publicationStatus":"PW","scienceBaseUri":"5c10a92fe4b034bf6a7e505e","contributors":{"authors":[{"text":"Yanes, Yurena","contributorId":197219,"corporation":false,"usgs":false,"family":"Yanes","given":"Yurena","email":"","affiliations":[],"preferred":false,"id":748772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Qattan, Nasser M.","contributorId":209766,"corporation":false,"usgs":false,"family":"Al-Qattan","given":"Nasser","email":"","middleInitial":"M.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":748773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rech, Jason A.","contributorId":117323,"corporation":false,"usgs":false,"family":"Rech","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":748774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":748771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dodd, Justin P.","contributorId":209767,"corporation":false,"usgs":false,"family":"Dodd","given":"Justin","email":"","middleInitial":"P.","affiliations":[{"id":13666,"text":"Northern Illinois University","active":true,"usgs":false}],"preferred":false,"id":748775,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nekola, Jeffrey C.","contributorId":26214,"corporation":false,"usgs":false,"family":"Nekola","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":748776,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}