{"pageNumber":"568","pageRowStart":"14175","pageSize":"25","recordCount":184652,"records":[{"id":70217799,"text":"70217799 - 2020 - Ideas and perspectives: A strategic assessment of methane and nitrous oxide measurements in the marine environment","interactions":[],"lastModifiedDate":"2021-02-03T12:47:45.867425","indexId":"70217799","displayToPublicDate":"2020-11-26T06:41:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Ideas and perspectives: A strategic assessment of methane and nitrous oxide measurements in the marine environment","docAbstract":"<p>&gt;In the current era of rapid climate change, accurate characterization of climate-relevant gas dynamics – namely production, consumption, and net emissions – is required for all biomes, especially those ecosystems most susceptible to the impact of change. Marine environments include regions that act as net sources or sinks for numerous climate-active trace gases including methane (CH4) and nitrous oxide (N2O). The temporal and spatial distributions of CH4 and N2O are controlled by the interaction of complex biogeochemical and physical processes. To evaluate and quantify how these mechanisms affect marine CH4 and N2O cycling requires a combination of traditional scientific disciplines including oceanography, microbiology, and numerical modeling. Fundamental to these efforts is ensuring that the datasets produced by independent scientists are comparable and interoperable. Equally critical is transparent communication within the research community about the technical improvements required to increase our collective understanding of marine CH4 and N2O. A workshop sponsored by Ocean Carbon and Biogeochemistry (OCB) was organized to enhance dialogue and collaborations pertaining to marine CH4 and N2O. Here, we summarize the outcomes from the workshop to describe the challenges and opportunities for near-future CH4 and N2O research in the marine environment.</p>","language":"English","publisher":"Copernicus","doi":"10.5194/bg-17-5809-2020","usgsCitation":"Wilson, S., Al-Haj, A., Bourbonnais, A., Frey, C., Fulweiler, R., Kessler, J.D., Marchant, H., Milucka, J., Ray, N., Suntharalingham, P., Thornton, B., Upstill-Goddard, R., Weber, T., Arévalo-Martínez, D., Bange, H., Benway, H., Bianchi, D., Borges, A., Chang, B., Crill, P., del Valle, D., Farias, L., Joye, S., Kock, A., Labidi, J., Manning, C., Pohlman, J., Rehder, G., Sparrow, K., Tortell, P., Truede, T., Valentine, D., Ward, B., Yang, S., and Yurganov, L., 2020, Ideas and perspectives: A strategic assessment of methane and nitrous oxide measurements in the marine environment: Biogeosciences, v. 17, no. 22, p. 5809-5828, https://doi.org/10.5194/bg-17-5809-2020.","productDescription":"20 p.","startPage":"5809","endPage":"5828","ipdsId":"IP-123280","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":454748,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-17-5809-2020","text":"Publisher Index Page"},{"id":382916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"22","noUsgsAuthors":false,"publicationDate":"2020-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, S.T.","contributorId":248724,"corporation":false,"usgs":false,"family":"Wilson","given":"S.T.","email":"","affiliations":[{"id":49988,"text":"University of Hawai’i at Manoa, Daniel K. 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,{"id":70216589,"text":"sir20205108 - 2020 - Use of real-time sensors to temporally characterize water quality in groundwater and surface water in Mason County, Illinois, 2017–19","interactions":[],"lastModifiedDate":"2020-12-08T21:22:21.624144","indexId":"sir20205108","displayToPublicDate":"2020-11-25T14:35:48","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5108","displayTitle":"Use of Real-Time Sensors to Temporally Characterize Water Quality in Groundwater and Surface Water in Mason County, Illinois, 2017–19","title":"Use of real-time sensors to temporally characterize water quality in groundwater and surface water in Mason County, Illinois, 2017–19","docAbstract":"<p>The persistence of high nitrate concentrations in shallow groundwater has been well documented in the shallow glacial aquifer of Mason County, Illinois. Nitrates in groundwater can be a concern when concentrations exceed 10 milligrams per liter in drinking water. Additionally, nitrate in groundwater can contribute to surface water nitrogen loads that can cause increased algal growth. Algal growth increases oxygen consumption causing anoxic conditions as observed in the Gulf of Mexico Hypoxic Zone.</p><p>From March 8, 2017, to March 31, 2019, groundwater level, continuous nitrate, dissolved oxygen, specific conductance, water temperature, and pH data were collected in a monitoring well to temporally assess changes in water quality using high frequency data. During this same period, instantaneous field measurements of water quality and groundwater levels were made in surface water and groundwater in and near Quiver Creek in the presumed groundwater flow path about 0.6 mile from the continuous monitoring well. Groundwater nitrate concentrations continuously measured in the aquifer during this time ranged from 14.7 to 23.2 milligrams per liter, whereas instantaneously measured nitrate concentrations in Quiver Creek ranged from 0.9 to 6.4 milligrams per liter. Nitrate concentrations measured by piezometer varied laterally and vertically in the Quiver Creek floodplain and beneath the stream. Irrigation and fertigation for agriculture is widely practiced in Mason County. This may seasonally affect the groundwater flow and movement as well as the persistence of nitrate in this area. Continuously and instantaneously measured nitrate concentrations and groundwater levels indicate that during the irrigation season, discharge to Quiver Creek from the shallow groundwater system may be limited. During and following periods when estimated irrigation use is highest, the low-nitrate deeper groundwater may be the dominant contributor to the Quiver Creek surface water, whereas during recharge events and when the system is not under the stress of irrigation, there is more contribution from the local and higher-nitrate shallow groundwater.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205108","collaboration":"Prepared in cooperation with the Illinois Environmental Protection Agency","usgsCitation":"Gruhn, L.R., and Morrow, W.S., 2020, Use of real-time sensors to temporally characterize water quality in groundwater and surface water in Mason County, Illinois, 2017–19: U.S. Geological Survey Scientific Investigations Report 2020–5108, 26 p., https://doi.org/10.3133/sir20205108.","productDescription":"viii, 26 p.","numberOfPages":"38","onlineOnly":"Y","ipdsId":"IP-108958","costCenters":[{"id":36532,"text":"Central 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<a data-mce-href=\"https://www.usgs.gov/centers/cm-water\" href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>405 North Goodwin <br>Urbana, IL 61801</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Hydrology</li><li>Continuous Groundwater-Quality Data</li><li>Characterization of Water Quality in Quiver Creek Stream and Floodplain</li><li>Isotopic Characterization</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-11-25","noUsgsAuthors":false,"publicationDate":"2020-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Gruhn, Lance R. 0000-0002-7120-3003 lgruhn@usgs.gov","orcid":"https://orcid.org/0000-0002-7120-3003","contributorId":219710,"corporation":false,"usgs":true,"family":"Gruhn","given":"Lance","email":"lgruhn@usgs.gov","middleInitial":"R.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrow, William S. 0000-0002-2250-3165 wsmorrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2250-3165","contributorId":1886,"corporation":false,"usgs":true,"family":"Morrow","given":"William","email":"wsmorrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805686,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70216785,"text":"70216785 - 2020 - Sphalerite oxidation in seawater with covellite: Implications for seafloor massive sulfide deposits and mine waste","interactions":[],"lastModifiedDate":"2020-12-29T22:14:58.077527","indexId":"70216785","displayToPublicDate":"2020-11-25T09:13:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5615,"text":"ACS Earth and Space Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Sphalerite oxidation in seawater with covellite: Implications for seafloor massive sulfide deposits and mine waste","docAbstract":"<div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Metal sulfide minerals exist in several marine environments and are in thermodynamic disequilibrium with oxygenated seawater from the time of their formation. Oxidation is both ubiquitous and heterogeneous, as observational and experimental evidence demonstrates that sulfide minerals may oxidize completely on decadal timescales (hydrothermal plumes) or incompletely in billions of years (mineral deposits); however, the processes, rates, and interactions among minerals as oxidative dissolution occurs are not well understood. Added impetus to understanding these processes exists due to the potential for mining of seafloor massive sulfide deposits and potential environmental impacts of that activity. Here, we present a laboratory-based experimental study on the galvanic oxidation of sphalerite and synthesized zinc sulfide and coupled to covellite. We find that, in contrast to single-mineral reactions, coupled mineral reactions are at least 2 orders of magnitude more rapid, light independent, and have a lower apparent activation energy for oxidation. These results begin to provide insight into observed differences between laboratory and environmentally observed oxidation rates and are a step in the direction of more accurately predicting environmental rates as well as any changes to those rates from anthropogenic disturbances.</p></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsearthspacechem.0c00177","usgsCitation":"Gartman, A., Whisman, S., and Hein, J.R., 2020, Sphalerite oxidation in seawater with covellite: Implications for seafloor massive sulfide deposits and mine waste: ACS Earth and Space Chemistry, v. 4, no. 12, p. 2261-2269, https://doi.org/10.1021/acsearthspacechem.0c00177.","productDescription":"9 p.","startPage":"2261","endPage":"2269","ipdsId":"IP-120111","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":454752,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsearthspacechem.0c00177","text":"Publisher Index Page"},{"id":436711,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FZ16VG","text":"USGS data release","linkHelpText":"Measurements of zinc, oxygen, and pH, from sphalerite and ZnS oxidation in seawater"},{"id":381028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"12","noUsgsAuthors":false,"publicationDate":"2020-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":806247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whisman, Samantha P.","contributorId":245470,"corporation":false,"usgs":false,"family":"Whisman","given":"Samantha P.","affiliations":[{"id":49200,"text":"former PCMSC/ USGS","active":true,"usgs":false}],"preferred":false,"id":806248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":806249,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70217298,"text":"70217298 - 2020 - Whitebark pine in the national parks of the Pacific states: An assessment of population vulnerability","interactions":[],"lastModifiedDate":"2021-01-18T13:54:14.320789","indexId":"70217298","displayToPublicDate":"2020-11-25T07:49:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Whitebark pine in the national parks of the Pacific states: An assessment of population vulnerability","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">Whitebark pine (<i>Pinus albicaulis</i>) is a long-lived tree found in high-elevation forests of western North America that is declining due to the non-native white pine blister rust (<i>Cronartium ribicola</i>) and climate-driven outbreaks of mountain pine beetle (<i>Dendroctonus ponderosae</i>; MPB). The National Park Service established a monitoring program for whitebark pine in seven parks, including Sequoia &amp; Kings Canyon, Yosemite, Lassen Volcanic, Crater Lake, Mount Rainier, Olympic, and North Cascades National Parks. Using these data, we summarized stand structure, presence of blister rust, and MPB prevalence to provide a baseline for future monitoring. Next, we used a stochastic, size-structured population model to speculate on future trends in the seven national park populations under conditions of increased MPB activity and ongoing blister rust infection observed in Crater Lake. We found that blister rust infected 29 to 54% of whitebark pine in all the parks except the two southernmost, Sequoia &amp; Kings Canyon and Yosemite, where infections rates were 0.3% and 0.2%, respectively. The proportion of dead trees in Sequoia &amp; Kings Canyon and Yosemite was low (0 to 1%), while they ranged from 10 to 43% in the other parks. Model projections suggested an average population decline of 25% in the parks over the next century using Crater Lake conditions, declines which are possible if blister rust continues to spread and climate change results in a significant increase in the frequency or severity of MPB outbreaks. Overall, our study describes conditions at seven western parks and illustrates potential rates of whitebark pine decline if pest outbreaks and/or blister rust infections worsen.</p></div></div>","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.094.0204","usgsCitation":"Jules, E., van Mantgem, P., Iberle, B.G., Nesmith, J.C., and Rochefort, R., 2020, Whitebark pine in the national parks of the Pacific states: An assessment of population vulnerability: Northwest Science, v. 94, no. 2, p. 129-141, https://doi.org/10.3955/046.094.0204.","productDescription":"13 p.","startPage":"129","endPage":"141","ipdsId":"IP-104282","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":382256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Sequoia and Kings Canyon National Park, Yosemite National Park, Lassen National Park, Crater Lake National Park, Mount Rainier National Park, Olympic National Park, North Cascades National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.33349609375,\n              35.94243575255426\n            ],\n            [\n              -117.630615234375,\n              35.94243575255426\n            ],\n            [\n              -117.630615234375,\n              36.77409249464195\n            ],\n            [\n              -119.33349609375,\n              36.77409249464195\n            ],\n            [\n              -119.33349609375,\n              35.94243575255426\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      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,{"id":70216804,"text":"70216804 - 2020 - Geochemistry and age of groundwater in the Williston Basin, USA: Assessing potential effects of shale-oil production on groundwater quality","interactions":[],"lastModifiedDate":"2020-12-08T13:55:25.977909","indexId":"70216804","displayToPublicDate":"2020-11-25T07:46:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Geochemistry and age of groundwater in the Williston Basin, USA: Assessing potential effects of shale-oil production on groundwater quality","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Thirty water wells were sampled in 2018 to understand the geochemistry and age of groundwater in the Williston Basin and assess potential effects of shale-oil production from the Three Forks-Bakken petroleum system (TBPS) on groundwater quality. Two geochemical groups are identified using hierarchical cluster analysis. Group 1 represents the younger (median<span>&nbsp;</span><sup>4</sup>He&nbsp;=&nbsp;21.49&nbsp;×&nbsp;10<sup>−8</sup>&nbsp;cm<sup>3</sup><span>&nbsp;</span>STP/g), less chemically evolved water. Group 2 represents the older (median<span>&nbsp;</span><sup>4</sup>He&nbsp;=&nbsp;1389&nbsp;×&nbsp;10<sup>−8</sup>&nbsp;cm<sup>3</sup><span>&nbsp;</span>STP/g), more chemically evolved water. At least two samples from each group contain elevated Cl concentrations (&gt;70&nbsp;mg/L). Br/Cl, B/Cl, and Li/Cl ratios indicate multiple sources account for the elevated Cl concentrations: septic-system leachate/road deicing salt, lignite beds in the aquifers, Pierre Shale beneath the aquifers, and water associated with the TBPS (one sample).<span>&nbsp;</span><sup>3</sup>H and<span>&nbsp;</span><sup>14</sup>C data indicate that 10.8, 21.6, and 67.6% of the samples are modern (post-1952), mixed age, and premodern (pre-1953), respectively. Lumped-parameter modeling of<span>&nbsp;</span><sup>3</sup>H, SF<sub>6</sub>,<span>&nbsp;</span><sup>3</sup>He, and<span>&nbsp;</span><sup>14</sup>C concentrations indicates mean ages of the modern and premodern fractions range from ~1 to 30 years and 1300 to &gt;30,000 years, respectively. Group 2 contains the highest CH<sub>4</sub><span>&nbsp;</span>concentrations (0.0018–32&nbsp;mg/L). δ<sup>13</sup>C–CH<sub>4</sub><span>&nbsp;</span>and C<sub>1</sub>/C<sub>2</sub>+C<sub>3</sub><span>&nbsp;</span>data in groundwater (−91.7 to −70.0‰ and 1280 to 13,600) indicate groundwater CH<sub>4</sub><span>&nbsp;</span>is biogenic in origin and not from thermogenic shale gas. Four volatile organic compounds (VOCs) were detected in two samples. One mixed-age sample contains chloroform (0.25&nbsp;μg/L) and dichloromethane (0.05&nbsp;μg/L), which are probably associated with septic leachate. One premodern sample contains butane (0.082&nbsp;μg/L) and n-pentane (0.032&nbsp;μg/L), which are probably associated with thermogenic gas from a nearby oil well. The data indicate hydrocarbon production activities do not currently (2018) widely affect Cl, CH<sub>4</sub>, and VOC concentrations in groundwater. The predominance of premodern recharge in the aquifers indicates the groundwater moves relatively slowly, which could inhibit widespread chemical movement in groundwater overlying the TBPS. Comparison of groundwater-age data from five major unconventional hydrocarbon-production areas indicates aquifer zones used for water supply in the TBPS area have a lower risk of widespread chemical movement in groundwater than similar aquifer zones in the Fayetteville (Arkansas) and Marcellus (Pennsylvania) Shale production areas, but have a higher risk than similar aquifer zones in the Eagle Ford (Texas) and Haynesville (Texas, Louisiana) Shale production areas.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2020.104833","usgsCitation":"McMahon, P.B., Galloway, J.M., Hunt, A., Belitz, K., Jurgens, B., and Johnson, T., 2020, Geochemistry and age of groundwater in the Williston Basin, USA: Assessing potential effects of shale-oil production on groundwater quality: Applied Geochemistry, 104833, 16 p., https://doi.org/10.1016/j.apgeochem.2020.104833.","productDescription":"104833, 16 p.","ipdsId":"IP-120675","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":454755,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2020.104833","text":"Publisher Index Page"},{"id":436712,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98H46DG","text":"USGS data release","linkHelpText":"Quality-Control Data for Volatile Organic Compounds and Environmental Sulfur-Hexafluoride Data for Groundwater Samples from the Williston Basin, USA"},{"id":381102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Williston Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.35888671875,\n              45.22848059584359\n            ],\n            [\n              -102.32666015625,\n              45.22848059584359\n            ],\n            [\n              -102.32666015625,\n              47.204642388766935\n            ],\n            [\n              -105.35888671875,\n              47.204642388766935\n            ],\n            [\n              -105.35888671875,\n              45.22848059584359\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Andrew G. 0000-0002-3810-8610","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":206197,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":806336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belitz, Kenneth 0000-0003-4481-2345","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":201889,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":806337,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":203409,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806338,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Tyler D. 0000-0002-7334-9188","orcid":"https://orcid.org/0000-0002-7334-9188","contributorId":201888,"corporation":false,"usgs":true,"family":"Johnson","given":"Tyler D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806339,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70229107,"text":"70229107 - 2020 - Challenging our understanding of western Yellow-billed Cuckoo habitat needs and accepted management practices","interactions":[],"lastModifiedDate":"2022-03-02T00:15:19.04416","indexId":"70229107","displayToPublicDate":"2020-11-24T18:03:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Challenging our understanding of western Yellow-billed Cuckoo habitat needs and accepted management practices","docAbstract":"<p><span>Riparian restoration in the southwestern United States frequently involves planting cottonwood (</span><i>Populus</i><span>&nbsp;spp.) and willow (</span><i>Salix</i><span>&nbsp;spp.). In the absence of flooding and gap-forming disturbance, planted forests often senesce without further young tree recruitment. This has largely been the case in California riparian systems that historically supported state-endangered western Yellow-billed Cuckoo (</span><i>Coccyzus americanus</i><span>; Cuckoo). A decline in Cuckoo population numbers in the past 30 years has been associated with forest maturation. Other riparian species of concern show a concomitant decline, indicating the problem is not specific to Cuckoos. Although varying hypotheses exist for recent decline, alternative management practices have not been sufficiently explored to rule out breeding ground habitat quality as a major contributing factor. Few intensive Cuckoo datasets exist to test hypotheses about breeding habitat quality due to extremely low populations in the remaining occupied sites. We used a historical (1986–1996) spot mapping dataset from the South Fork Kern River Valley, CA to identify vegetation characteristics related to Cuckoo and five other sensitive riparian bird territory densities. We found Cuckoo densities were positively associated with increased vertical vegetative structure 1–5 m above ground with a threshold for mean tree height. Sensitive species densities were also related to vertical structure and started to decline with stand height greater than 6–8 m. Naturally regenerated sites had higher densities of most sensitive bird species than planted sites. We provide ideas for restoring mature forest with little vertical structure.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.13331","usgsCitation":"Wohner, P., Laymon, S., Stanek, J., King, S.L., and Cooper, R., 2020, Challenging our understanding of western Yellow-billed Cuckoo habitat needs and accepted management practices: Restoration Ecology, v. 29, no. 3, e13331, https://doi.org/10.1111/rec.13331.","productDescription":"e13331","ipdsId":"IP-122363","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South Fork Kern River 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P.J.","contributorId":287172,"corporation":false,"usgs":false,"family":"Wohner","given":"P.J.","affiliations":[{"id":61497,"text":"Cuckoo Conservation Initiative","active":true,"usgs":false}],"preferred":false,"id":836538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laymon, S.A.","contributorId":287173,"corporation":false,"usgs":false,"family":"Laymon","given":"S.A.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":836539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanek, J.E.","contributorId":287174,"corporation":false,"usgs":false,"family":"Stanek","given":"J.E.","email":"","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":836540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Sammy L. 0000-0002-5364-6361 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,{"id":70216529,"text":"sir20205088 - 2020 - Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers on the periphery of Missouri, July–August 2018","interactions":[],"lastModifiedDate":"2020-11-25T12:58:22.191418","indexId":"sir20205088","displayToPublicDate":"2020-11-24T16:52:31","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5088","displayTitle":"Bathymetric and Velocimetric Surveys at Highway Bridges Crossing the Missouri and Mississippi Rivers on the Periphery of Missouri, July–August 2018","title":"Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers on the periphery of Missouri, July–August 2018","docAbstract":"<p>Bathymetric and velocimetric data were collected by the U.S. Geological Survey, in cooperation with the Missouri Department of Transportation, near 7 bridges at 6 highway crossings of the Missouri and Mississippi Rivers on the periphery of the State of Missouri from July 16 to August 13, 2018. A multibeam echosounder mapping system was used to obtain channel-bed elevations for river reaches about 1,640 feet longitudinally and generally extending laterally across the active channel from bank to bank during moderate flood-flow conditions. These surveys indicate the channel conditions at the time of the surveys and provide characteristics of scour holes that may be useful in the development of predictive guidelines or equations for scour holes. These data also may be useful to the Missouri Department of Transportation as a low to moderate flood-flow comparison to help assess the bridges for stability and integrity issues with respect to bridge scour during floods.</p><p>Bathymetric data were collected around every pier that was in water, except those at the edge of water, and scour holes were present at most piers for which bathymetry could be obtained, except those on banks, on bedrock, or surrounded by riprap. Occasionally, the scour hole near a pier was difficult to discern from nearby bed features. The observed scour holes at the surveyed bridges were generally examined with respect to shape and depth.</p><p>Although partial exposure of substructural support elements was observed at several piers, at most sites the exposure likely can be considered minimal compared to the overall substructure that remains buried in bed material at these piers. The notable exceptions are piers 12 and 13 at structure L0135 on State Highway 51 at Chester, Illinois, at which the bedrock material was fully exposed around the piers.</p><p>The presence of riprap blankets, pier size and nose shape, and alignment to flow had a substantial effect on the size of the scour hole observed for a given pier. Piers that were surrounded by riprap blankets had scour holes that were substantially smaller (to nonexistent) compared to piers at which no rock or riprap were present. Narrow piers having round or sharp noses that were aligned with flow often had scour holes that were difficult to discern from nearby bed features, whereas piers having wide or blunt noses resulted in larger, deeper scour holes. Several of the structures had piers that were skewed to primary approach flow, and scour holes near these piers generally displayed deposition on the leeward side of the pier and greater depth on the side of the pier with impinging flow.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205088","collaboration":"Prepared in cooperation with the Missouri Department of Transportation","usgsCitation":"Huizinga, R.J., 2020, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri and Mississippi Rivers on the periphery of Missouri, July–August 2018: U.S. Geological Survey Scientific Investigations Report 2020–5088, 100 p., https://doi.org/10.3133/sir20205088.","productDescription":"Report: vii, 100 p.; Data Release","numberOfPages":"112","onlineOnly":"Y","ipdsId":"IP-115831","costCenters":[{"id":36532,"text":"Central Midwest Water Science 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Shaded Triangulated Irregular Network Images of the Channel and Side of Pier for Each Surveyed Pier</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-11-24","noUsgsAuthors":false,"publicationDate":"2020-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805541,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70216484,"text":"sim3465 - 2020 - Predicted pH of groundwater in the Mississippi River Valley alluvial and Claiborne aquifers, south-central United States","interactions":[],"lastModifiedDate":"2020-11-25T12:48:14.764979","indexId":"sim3465","displayToPublicDate":"2020-11-24T14:14:54","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3465","displayTitle":"Predicted pH of Groundwater in the Mississippi River Valley Alluvial and Claiborne Aquifers, South-Central United States","title":"Predicted pH of groundwater in the Mississippi River Valley alluvial and Claiborne aquifers, south-central United States","docAbstract":"<p>Regional aquifers in the Mississippi embayment are the principal sources of water used for public and domestic supply, irrigation, and industrial uses throughout the region. An understanding of how water quality varies spatially, temporally, and with depth are critical aspects to ensuring long-term sustainable use of these resources. A boosted regression tree (BRT) model was used by the U.S. Geological Survey (USGS) to map water quality in the three regional aquifers with the largest groundwater withdrawals in the embayment: the Mississippi River Valley alluvial (MRVA) aquifer, middle Claiborne aquifer (MCAQ), and lower Claiborne aquifer (LCAQ).</p><p>The BRT model was used to predict pH to 1-kilometer raster grid cells for seven aquifer layers (one MRVA, four MCAQ, two LCAQ) following the hydrogeologic framework of the Mississippi embayment aquifer system regional MODFLOW model. The methods and approach used for pH predictions are the same as those used recently by the USGS to predict specific conductance and chloride in the aquifers. Explanatory variables for the BRT models included variables describing well location and construction, surficial variables such as soil properties and land use, and variables extracted from the groundwater flow model, such as groundwater levels and ages. The primary source of pH data was the USGS National Water Information System database. Additional data from State ambient groundwater monitoring programs and the Safe Drinking Water Information System also were used. For wells sampled multiple times, the most recent sample was used. Because groundwater residence times are long (greater than 100 years) throughout much of the study area, the possible effects of changes in water quality over time were considered small compared to the improvement in overall model accuracy by using available historical data. Values of pH from 3,362 wells for samples collected between 1960 and 2018 were used as training data for the BRT model. An additional 839 samples were used as holdout data to evaluate model performance. The predictive performance of the pH model is lower than for the training dataset, as indicated by an r-squared value of 0.89 for the training data and an r-squared of 0.71 for the holdout data. The root mean squared errors for the training and holdout data are 0.32 and 0.50 standard pH units, respectively. Data generated during this study and the model output are available from the companion data release.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3465","usgsCitation":"Kingsbury, J.A., Knierim, K.J., and Haugh, C.J., 2020, Predicted pH of groundwater in the Mississippi River Valley alluvial and Claiborne aquifers, South-Central United States: U.S. Geological Survey Scientific Investigations Map 3465, 1 sheet, https://doi.org/10.3133/sim3465.","productDescription":"1 Sheet: 34.60 x 28.70 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-111848","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":380668,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CXX7LN","text":"USGS data release","linkHelpText":"Prediction grids of pH for the Mississippi River Valley alluvial and Claiborne aquifers"},{"id":380666,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3465/coverthb2.jpg"},{"id":380667,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3465/sim3465.pdf","text":"Report","size":"3.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3465"}],"country":"United States","state":"Alabama, Arkansas, Louisiana, Mississippi, Missouri","otherGeospatial":"Mississippi River Valley alluvial, Claiborne aquifers","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.296875,\n              37.020098201368114\n            ],\n            [\n              -90.1318359375,\n              36.66841891894786\n            ],\n            [\n              -91.93359375,\n              35.28150065789119\n            ],\n            [\n              -93.33984375,\n              33.65120829920497\n            ],\n            [\n              -94.04296874999999,\n              33.100745405144245\n            ],\n            [\n              -93.91113281249999,\n              31.952162238024975\n            ],\n            [\n              -93.1640625,\n              31.090574094954192\n            ],\n            [\n              -91.7578125,\n              30.939924331023445\n            ],\n            [\n              -91.0986328125,\n              31.952162238024975\n            ],\n            [\n              -90.703125,\n              32.24997445586331\n            ],\n            [\n              -89.3408203125,\n              32.175612478499325\n            ],\n            [\n              -88.0224609375,\n              31.57853542647338\n            ],\n            [\n              -87.4951171875,\n              31.80289258670676\n            ],\n            [\n              -86.748046875,\n              32.99023555965106\n            ],\n            [\n              -87.4072265625,\n              33.211116472416855\n            ],\n            [\n              -88.9892578125,\n              33.94335994657882\n            ],\n            [\n              -89.7802734375,\n              34.74161249883172\n            ],\n            [\n              -90,\n              35.24561909420681\n            ],\n            [\n              -89.56054687499999,\n              36.13787471840729\n            ],\n            [\n              -89.3408203125,\n              36.421282443649496\n            ],\n            [\n              -89.2529296875,\n              36.84446074079564\n            ],\n            [\n              -89.296875,\n              37.020098201368114\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/lmg-water\" data-mce-href=\"https://www.usgs.gov/centers/lmg-water\">Lower Mississippi Gulf Water Science Center</a><br>U.S. Geological Survey<br>640 Grassmere Park, Suite 100<br>Nashville, TN 37211</p>","tableOfContents":"<ul><li>Introduction</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-11-24","noUsgsAuthors":false,"publicationDate":"2020-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Kingsbury, James A. 0000-0003-4985-275X jakingsb@usgs.gov","orcid":"https://orcid.org/0000-0003-4985-275X","contributorId":883,"corporation":false,"usgs":true,"family":"Kingsbury","given":"James","email":"jakingsb@usgs.gov","middleInitial":"A.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":805380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knierim, Katherine J. 0000-0002-5361-4132 kknierim@usgs.gov","orcid":"https://orcid.org/0000-0002-5361-4132","contributorId":191788,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine","email":"kknierim@usgs.gov","middleInitial":"J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haugh, Connor J. 0000-0002-5204-8271 cjhaugh@usgs.gov","orcid":"https://orcid.org/0000-0002-5204-8271","contributorId":3932,"corporation":false,"usgs":true,"family":"Haugh","given":"Connor","email":"cjhaugh@usgs.gov","middleInitial":"J.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805382,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216479,"text":"ofr20201116 - 2020 - Multiple-well monitoring site adjacent to the North and South Belridge Oil Fields, Kern County, California","interactions":[],"lastModifiedDate":"2020-11-25T12:52:01.362381","indexId":"ofr20201116","displayToPublicDate":"2020-11-24T12:43:43","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1116","displayTitle":"Multiple-Well Monitoring Site Adjacent to the North and South Belridge Oil Fields, Kern County, California","title":"Multiple-well monitoring site adjacent to the North and South Belridge Oil Fields, Kern County, California","docAbstract":"<p><span>The U.S. Geological Survey (USGS), in cooperation with the California State Water Resources Control Board, is evaluating several questions about oil and gas development and groundwater resources in California, including (1) the location of groundwater resources; (2) the proximity of oil and gas operations to groundwater and the geologic materials between them; (3) evidence (or no evidence) of fluids from oil and gas sources in groundwater; and (4) the pathways or processes responsible when fluids from oil and gas sources are present in groundwater (U.S. Geological Survey, 2017). As part of this evaluation, the USGS installed a multiple-well monitoring site in the southern San Joaquin Valley groundwater basin adjacent to the North and South Belridge oil fields, about 7 miles southwest of Lost Hills, California. Data collected at the Belridge multiple-well monitoring site (BWSD) provide information about the geology, hydrology, geophysical properties, and geochemistry of the aquifer system, thus enhancing understanding of relations between adjacent groundwater and the North and South Belridge oil fields in an area where there are few groundwater data. This report presents construction information for the BWSD and initial hydrogeologic data collected from the site. A similar site installed to the east of the Lost Hills oil field, 11.5 miles to the north of the BWSD site, was described by Everett and others (2020a).</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201116","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Everett, R.R., Brown, A.A., Gillespie, J.M., Kjos, A., and Fenton, N.C., 2020, Multiple-well monitoring site adjacent to the North and South Belridge Oil Fields, Kern County, California: U.S. Geological Survey Open-File Report 2020-1116, 10 p., https://doi.org/10.3133/ofr20201116.","productDescription":"Report: 10 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-112077","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":380658,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1116/ofr20201116.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1116"},{"id":380659,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96WITX5","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Aquifer test data for the Belridge multiple-well monitoring site (BWSD), Kern County, California"},{"id":380657,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1116/coverthb.jpg"}],"country":"United States","state":"California","county":"Kern County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-120.1945,35.788],[-120.1842,35.789],[-120.1655,35.7891],[-120.1474,35.7887],[-120.0816,35.7886],[-119.9688,35.7896],[-119.852,35.7891],[-119.7618,35.7906],[-119.6472,35.7895],[-119.5395,35.79],[-119.4301,35.7905],[-119.3308,35.7899],[-119.2169,35.7906],[-119.1182,35.7903],[-118.9027,35.789],[-118.6504,35.7897],[-118.6441,35.7896],[-118.5885,35.7897],[-118.5233,35.7892],[-118.4785,35.7915],[-118.4706,35.7919],[-118.4502,35.7908],[-118.2716,35.7896],[-118.2562,35.7894],[-118.2387,35.7897],[-118.2137,35.7894],[-118.1956,35.7896],[-118.1632,35.7893],[-118.0839,35.7865],[-118.0697,35.7859],[-118.009,35.7861],[-117.9234,35.7863],[-117.9249,35.7986],[-117.9005,35.7983],[-117.8738,35.7988],[-117.8523,35.7985],[-117.6362,35.7958],[-117.6355,35.7086],[-117.6537,35.7085],[-117.6527,35.6776],[-117.6176,35.6775],[-117.6166,35.6493],[-117.6353,35.6487],[-117.6354,35.6233],[-117.6352,35.5807],[-117.6356,35.5666],[-117.6351,35.5639],[-117.6346,35.4472],[-117.6352,35.3755],[-117.6353,35.3464],[-117.6351,35.3319],[-117.6343,35.3174],[-117.6341,35.3028],[-117.6345,35.2874],[-117.6343,35.2742],[-117.6341,35.2588],[-117.6339,35.2447],[-117.6342,35.2302],[-117.634,35.2157],[-117.6338,35.2011],[-117.6336,35.1861],[-117.6334,35.1707],[-117.6338,35.1562],[-117.6336,35.1417],[-117.6333,35.1271],[-117.6331,35.1126],[-117.6329,35.098],[-117.6352,35.0981],[-117.636,35.0872],[-117.6358,35.0727],[-117.6356,35.0581],[-117.6357,35.0295],[-117.6361,35.015],[-117.6357,34.985],[-117.6351,34.8233],[-117.6519,34.8227],[-117.6704,34.8221],[-117.7757,34.8229],[-118.1408,34.8195],[-118.1493,34.8195],[-118.5995,34.8175],[-118.8946,34.8181],[-118.8945,34.818],[-118.8825,34.791],[-118.9772,34.7902],[-118.9771,34.8126],[-119.2462,34.8147],[-119.2461,34.857],[-119.2797,34.858],[-119.2779,34.8793],[-119.3844,34.8794],[-119.385,34.884],[-119.3849,34.899],[-119.4382,34.8999],[-119.4438,34.8999],[-119.4544,34.8999],[-119.4571,34.9],[-119.4746,34.9004],[-119.4746,34.9005],[-119.4746,34.9136],[-119.474,34.9367],[-119.474,34.9499],[-119.474,34.9576],[-119.474,34.9721],[-119.4746,35.0184],[-119.4746,35.0325],[-119.4745,35.077],[-119.4908,35.077],[-119.4914,35.092],[-119.5004,35.0915],[-119.5088,35.0906],[-119.5628,35.0883],[-119.5583,35.1369],[-119.5566,35.1601],[-119.5549,35.1791],[-119.5769,35.1787],[-119.6095,35.1773],[-119.6675,35.1749],[-119.6675,35.1908],[-119.6675,35.2049],[-119.6688,35.2617],[-119.7397,35.2629],[-119.7572,35.2633],[-119.7746,35.2633],[-119.8113,35.2641],[-119.8122,35.3508],[-119.8815,35.3501],[-119.8824,35.41],[-119.8824,35.4246],[-119.8831,35.4377],[-119.9999,35.4396],[-120.0007,35.4695],[-120.0171,35.469],[-120.0194,35.4835],[-120.0358,35.4834],[-120.0359,35.497],[-120.0523,35.4974],[-120.053,35.5124],[-120.0699,35.5128],[-120.0711,35.5268],[-120.0875,35.5276],[-120.0876,35.6139],[-120.1951,35.6151],[-120.1947,35.7481],[-120.1942,35.7626],[-120.1945,35.788]]]},\"properties\":{\"name\":\"Kern\",\"state\":\"CA\"}}]}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>, <a href=\"https://ca.water.usgs.gov \" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br>U.S. Geological Survey<br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Study Area</li><li>Drilling and Well Installation</li><li>Sediment Analysis</li><li>Hydrology</li><li>Geochemistry</li><li>Accessing Data</li><li>References Cited</li></ul>","publishedDate":"2020-11-24","noUsgsAuthors":false,"publicationDate":"2020-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Everett, Rhett R. 0000-0001-7983-6270 reverett@usgs.gov","orcid":"https://orcid.org/0000-0001-7983-6270","contributorId":843,"corporation":false,"usgs":true,"family":"Everett","given":"Rhett R.","email":"reverett@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":805373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Anthony A. 0000-0001-9925-0197 anbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-9925-0197","contributorId":5125,"corporation":false,"usgs":true,"family":"Brown","given":"Anthony","email":"anbrown@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gillespie, Janice M. 0000-0003-1667-3472","orcid":"https://orcid.org/0000-0003-1667-3472","contributorId":203915,"corporation":false,"usgs":true,"family":"Gillespie","given":"Janice M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":805375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kjos, Adam 0000-0002-2722-3306 adamkjos@usgs.gov","orcid":"https://orcid.org/0000-0002-2722-3306","contributorId":4130,"corporation":false,"usgs":true,"family":"Kjos","given":"Adam","email":"adamkjos@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fenton, Nicole C. 0000-0002-8220-7181","orcid":"https://orcid.org/0000-0002-8220-7181","contributorId":245122,"corporation":false,"usgs":false,"family":"Fenton","given":"Nicole C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":805377,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228859,"text":"70228859 - 2020 - Ecology and management of plague in diverse communities of rodents and fleas","interactions":[],"lastModifiedDate":"2022-02-23T16:42:39.167066","indexId":"70228859","displayToPublicDate":"2020-11-24T10:37:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3675,"text":"Vector-Borne and Zoonotic Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Ecology and management of plague in diverse communities of rodents and fleas","docAbstract":"<p><span>Plague originated in Asia as a flea-borne zoonosis of mammalian hosts. Today, the disease is distributed nearly worldwide. In western United States of America, plague is maintained, transmitted, and amplified in diverse communities of rodents and fleas. We examined flea diversity on three species of prairie dogs (</span><i>Cynomys</i><span>&nbsp;spp., PDs) and six species of sympatric small rodents in Montana and Utah, United States of America. Among 2896 fleas, 19 species were identified; 13 were found on PDs and 9 were found on small rodents. In Montana, three flea species were found on PDs; the three species parasitize PDs and mice. In Utah, 12 flea species were found on PDs; the 12 species parasitize PDs, mice, voles, chipmunks, ground squirrels, rock squirrels, and marmots. Diverse flea communities and their willingness to parasitize many types of hosts, across multiple seasons and habitats, may favor plague maintenance and transmission. Flea parasitism on&nbsp;</span><i>Peromyscus</i><span>&nbsp;deer mice varied directly with elevation. Fleas are prone to desiccation, and might prosper at higher, mesic elevations; in addition,&nbsp;</span><i>Peromyscus</i><span>&nbsp;nest characteristics may vary with elevation. Effective management of plague is critical. Plague management is probably most effective when encompassing communities of rodents and fleas. Treatment of PD burrows with 0.05% deltamethrin dust, which suppressed fleas on PDs for &gt;365 days, suppressed fleas on small rodents for at least 58 days. At one site, deltamethrin suppressed fleas on small rodents for at least 383 days. By simultaneously suppressing fleas on PDs and small rodents, deltamethrin should promote ecosystem resilience and One Health objectives.</span></p>","language":"English","publisher":"Mary Ann Liebert Inc.","doi":"10.1089/vbz.2020.2625","usgsCitation":"Eads, D.A., Biggins, D.E., and Gage, K., 2020, Ecology and management of plague in diverse communities of rodents and fleas: Vector-Borne and Zoonotic Diseases, v. 20, no. 12, p. 888-896, https://doi.org/10.1089/vbz.2020.2625.","productDescription":"9 p.","startPage":"888","endPage":"896","ipdsId":"IP-116656","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":396356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Utah","county":"Phillips 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Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":835715,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70215041,"text":"fs20203046 - 2020 - Assessment of undiscovered conventional oil and gas resources of Southeast Asia, 2020","interactions":[],"lastModifiedDate":"2020-11-24T20:45:34.926372","indexId":"fs20203046","displayToPublicDate":"2020-11-24T10:05:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3046","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources of Southeast Asia, 2020","title":"Assessment of undiscovered conventional oil and gas resources of Southeast Asia, 2020","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 10.5 billion barrels of oil and 271.5 trillion cubic feet of gas within 33 geologic provinces of Southeast Asia.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203046","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Finn, T.M., Le, P.A., Marra, K.R., Leathers-Miller, H.M., and Drake, R.M., II, 2020, Assessment of undiscovered conventional oil and gas resources of Southeast Asia, 2020 (ver. 1.1, November 2020): U.S. Geological Survey Fact Sheet 2020–3046, 2 p., https://doi.org/10.3133/fs20203046.","productDescription":"Report: 2 p.; Version History","onlineOnly":"N","ipdsId":"IP-118093","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":436714,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BI2N1N","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project&ndash;Southeast Asia Assessment Unit Boundaries, Assessment Input Forms, and Assessment Results Data Table (ver. 2.0, June 2023)"},{"id":380723,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2020/3046/versionHist.txt","text":"Version History","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"version history"},{"id":379102,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3046/fs20203046.pdf","text":"Report","size":"9.02 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020-3046"},{"id":379101,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3046/coverthb2.jpg"}],"country":"Burma, Cambodia, Indonesia, Laos, Malaysia, Philippines, Singapore, Thailand, Vietnam","otherGeospatial":"Southeast Asia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              92.8125,\n              -10.31491928581316\n            ],\n            [\n              128.583984375,\n              -10.31491928581316\n            ],\n            [\n              128.583984375,\n              29.152161283318915\n            ],\n            [\n              92.8125,\n              29.152161283318915\n            ],\n            [\n              92.8125,\n              -10.31491928581316\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: October  2019; Version 1.1: November 2020","contact":"<p>Director, <a href=\"http://energy.usgs.gov/\" data-mce-href=\"http://energy.usgs.gov/\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Undiscovered Resources Summary</li><li>References Cited</li></ul>","publishedDate":"2020-10-08","revisedDate":"2020-11-24","noUsgsAuthors":false,"publicationDate":"2020-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodall, Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gov","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194924,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl","email":"cwoodall@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Le, Phuong A. 0000-0003-2477-509X ple@usgs.gov","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":150418,"corporation":false,"usgs":true,"family":"Le","given":"Phuong","email":"ple@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800646,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marra, Kristen R. 0000-0001-8027-5255 kmarra@usgs.gov","orcid":"https://orcid.org/0000-0001-8027-5255","contributorId":4844,"corporation":false,"usgs":true,"family":"Marra","given":"Kristen","email":"kmarra@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800647,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":150419,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800648,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Drake, Ronald M. II 0000-0002-1770-4667 rmdrake@usgs.gov","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":1353,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald","suffix":"II","email":"rmdrake@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800649,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70217198,"text":"70217198 - 2020 - Critical shifts in trace metal transport and remediation performance under future low river flows","interactions":[],"lastModifiedDate":"2021-01-12T13:25:25.078301","indexId":"70217198","displayToPublicDate":"2020-11-24T07:22:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Critical shifts in trace metal transport and remediation performance under future low river flows","docAbstract":"<div class=\"article_abstract\"><div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Exceptionally low river flows are predicted to become more frequent and more severe across many global regions as a consequence of climate change. Investigations of trace metal transport dynamics across streamflows reveal stark changes in water chemistry, metal transformation processes, and remediation effectiveness under exceptionally low-flow conditions. High spatial resolution hydrological and water quality datasets indicate that metal-rich groundwater will exert a greater control on stream water chemistry and metal concentrations because of climate change. This is because the proportion of stream water sourced from mined areas and mineralized strata will increase under predicted future low-flow scenarios (from 25% under Q45 flow to 66% under Q99 flow in this study). However, mineral speciation modelling indicates that changes in stream pH and hydraulic conditions at low flow will decrease aqueous metal transport and increase sediment metal concentrations by enhancing metal sorption directly to streambed sediments. Solute transport modelling further demonstrates how increases in the importance of metal-rich diffuse groundwater sources at low flow could minimize the benefits of point source metal contamination treatment. Understanding metal transport dynamics under exceptionally low flows, as well as under high flows, is crucial to evaluate ecosystem service provision and remediation effectiveness in watersheds under future climate change scenarios.</p></div></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.0c04016","usgsCitation":"Byrne, P.A., Onnis, P., Runkel, R.L., Frau, I., Lynch, S.F., and Edwards, P., 2020, Critical shifts in trace metal transport and remediation performance under future low river flows: Environmental Science & Technology, v. 54, no. 24, p. 15742-15750, https://doi.org/10.1021/acs.est.0c04016.","productDescription":"9 p.","startPage":"15742","endPage":"15750","ipdsId":"IP-119631","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":454761,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.0c04016","text":"Publisher Index Page"},{"id":382090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"England","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -4.350585937499999,\n              52.01193653675363\n            ],\n            [\n              -2.724609375,\n              52.01193653675363\n            ],\n            [\n              -2.724609375,\n              52.82932091031373\n            ],\n            [\n              -4.350585937499999,\n              52.82932091031373\n            ],\n            [\n              -4.350585937499999,\n              52.01193653675363\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"54","issue":"24","noUsgsAuthors":false,"publicationDate":"2020-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Byrne, Patrick A.","contributorId":247578,"corporation":false,"usgs":false,"family":"Byrne","given":"Patrick","email":"","middleInitial":"A.","affiliations":[{"id":49583,"text":"Liverpool John Moores University","active":true,"usgs":false}],"preferred":false,"id":807951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Onnis, Patrizia","contributorId":247579,"corporation":false,"usgs":false,"family":"Onnis","given":"Patrizia","affiliations":[{"id":49583,"text":"Liverpool John Moores University","active":true,"usgs":false}],"preferred":false,"id":807952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frau, Ilaria","contributorId":247580,"corporation":false,"usgs":false,"family":"Frau","given":"Ilaria","email":"","affiliations":[{"id":49583,"text":"Liverpool John Moores University","active":true,"usgs":false}],"preferred":false,"id":807954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynch, Sarah F. L.","contributorId":247581,"corporation":false,"usgs":false,"family":"Lynch","given":"Sarah","email":"","middleInitial":"F. L.","affiliations":[{"id":13386,"text":"AECOM","active":true,"usgs":false}],"preferred":false,"id":807955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edwards, Paul","contributorId":247582,"corporation":false,"usgs":false,"family":"Edwards","given":"Paul","email":"","affiliations":[{"id":16759,"text":"Swansea University","active":true,"usgs":false}],"preferred":false,"id":807956,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70223327,"text":"70223327 - 2020 - Deep-sea coral and sponge taxa increase demersal fish diversity and the probability of fish presence","interactions":[],"lastModifiedDate":"2021-09-14T16:57:46.030265","indexId":"70223327","displayToPublicDate":"2020-11-23T17:37:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Deep-sea coral and sponge taxa increase demersal fish diversity and the probability of fish presence","docAbstract":"<p><span>Fishes are known to use deep-sea coral and sponge (DSCS) species as habitat, but it is uncertain whether this relationship is facultative (circumstantial and not restricted to a particular function) or obligate (necessary to sustain fish populations). To explore whether DSCS provide essential habitats for demersal fishes, we analyzed 10 years of submersible survey video transect data, documenting the locations and abundance of DSCS and demersal fishes in the Southern California Bight (SCB). We first classified the different habitats in which fishes and DSCS taxa occurred using cluster analysis, which revealed four distinct DSCS assemblages based on depth and substratum. We then used logistic regression and gradient forest analysis to identify the ecological correlates most associated with the presence of rockfish taxa (</span><i>Sebastes</i><span>&nbsp;spp.) and biodiversity. After accounting for spatial autocorrelation, the factors most related to the presence of rockfishes were depth, coral height, and the abundance of a few key DSCS taxa. Of particular interest, we found that young-of-the-year rockfishes were more likely to be present in locations with taller coral and increased densities of&nbsp;</span><i>Plumarella longispina</i><span>,&nbsp;</span><i>Lophelia pertusa</i><span>, and two sponge taxa. This suggests these DSCS taxa may serve as important rearing habitat for rockfishes. Similarly, the gradient forest analysis found the most important ecological correlates for fish biodiversity were depth, coral cover, coral height, and a subset of DSCS taxa. Of the 10 top-ranked DSCS taxa in the gradient forest (out of 39 potential DSCS taxa), 6 also were associated with increased probability of fish presence in the logistic regression. The weight of evidence from these multiple analytical methods suggests that this subset of DSCS taxa are important fish habitats. In this paper we describe methods to characterize demersal communities and highlight which DSCS taxa provide habitat to demersal fishes, which is valuable information to fisheries agencies tasked to manage these fishes and their essential habitats.</span></p>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2020.593844","usgsCitation":"Henderson, M., Huff, D., and Yoklavich, M., 2020, Deep-sea coral and sponge taxa increase demersal fish diversity and the probability of fish presence: Frontiers in Marine Science, v. 7, 593844, 19 p., https://doi.org/10.3389/fmars.2020.593844.","productDescription":"593844, 19 p.","ipdsId":"IP-102115","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":454762,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.593844","text":"Publisher Index Page"},{"id":388395,"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              -121.025390625,\n              32.879587173066305\n            ],\n            [\n              -117.66357421875,\n              32.879587173066305\n            ],\n            [\n              -117.66357421875,\n              34.43409789359469\n            ],\n            [\n              -121.025390625,\n              34.43409789359469\n            ],\n            [\n              -121.025390625,\n              32.879587173066305\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2020-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":821760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huff, D.D.","contributorId":264617,"corporation":false,"usgs":false,"family":"Huff","given":"D.D.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":821761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yoklavich, M.M","contributorId":264618,"corporation":false,"usgs":false,"family":"Yoklavich","given":"M.M","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":821762,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216390,"text":"sir20205081 - 2020 - Assessment of Ambystomatid salamander populations and their breeding habitats in the Delaware Water Gap National Recreation Area","interactions":[],"lastModifiedDate":"2024-03-04T19:37:36.850638","indexId":"sir20205081","displayToPublicDate":"2020-11-23T10:50:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5081","displayTitle":"Assessment of Ambystomatid Salamander Populations and Their Breeding Habitats in the Delaware Water Gap National Recreation Area","title":"Assessment of Ambystomatid salamander populations and their breeding habitats in the Delaware Water Gap National Recreation Area","docAbstract":"<p>This report presents abundance and occurrence data for three species of ambystomad salamanders (<i>Ambystoma maculatum, A. jeffersonianum,</i> and <i>A. opacum</i>) collected over a 3-year period (2000, 2001, and 2002) at 200 potentional breeding sies within the Delaware Water Gap National Recreation Area (DEWA). In addition, numerous measures of inpond, near-pond, and landscape attributes were measured and used to inform statistical models to determine species-habitat relationships in the DEWA.</p><p>The results of a 3-year study of ambystomatid salamander breeding habits and habitats in the (DEWA) that was conducted by the U.S. Geological Survey, in cooperation with the National Park Service, are described in the report. The objectives of the study were to document the population status and critical breeding habitats of the three species of ambystomatid salamanders known to be present in the DEWA—<i>Ambystoma maculatum</i> (spotted salamander), <i>A. opacum</i> (marbled salamander), and <i>A. jeffersonianum</i> (Jefferson salamander). DEWA managers are interested in ecological information on these species for several reasons. First, at the time the study began, there was little known regarding the status of pond-breeding amphibians and their habitats in the DEWA. Second, because they require undegraded habitats in both terrestrial and aquatic habitats to successfully complete their life cycles, the status of ambystomatid salamanders is widely viewed as indicative of overall ecosystem health. Third, because ambystomatid salamanders and other pond-breeding amphibians have been observed in numerous artificial impoundments with the DEWA, park managers would like to assess whether dismantling or discontinuing maintenance of artificial impoundments could affect pond-breeding amphibians and possibly other species that use pond or wetland habitats in the Park.</p><p>In 2001, 2002, and 2003, the size and location of 200 wetlands, ponds, and artificial impoundments, and related landscape positions (Ridge versus Valley; Pennsylvania side versus New Jersey side of the Delaware river) were mapped, and site habitat data relating to salamander occurrence and abundance patterns were collected. The data collected during this study provide important new baseline information on ambystomatid salamanders and wetland habitats in the DEWA that will enhance long-term inventory and monitoring efforts. In addition, breeding habitat assessments indicate that ambystomatid salamanders may be sensitive to a wide variety of stresses important in the DEWA and in the region. In particular, recent trends in development (for example, roads) in and near the DEWA, regional increases in the acidity of precipitation, and predicted long-term warming trends for the region could be detrimental to pond-breeding salamander populations because of their effects on breeding site quality and quantity, and on the integrity of migration corridors. In contrast, the results of the study indicate management plans to eliminate small impoundments are not likely to adversely affect salamanders in DEWA, at least in the short-term. However, it is possible that these small impoundments may offer stable habitats that provide a rescure effect during long-term droughts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205081","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Snyder, C.D., Young, J.A., Julian, J.T., King, T.L., and Julian, S.E., 2020, Assessment of Ambystomatid salamander populations and their breeding habitats in the Delaware Water Gap National Recreation Area: U.S. Geological Survey Scientific Investigations Report 2020–5081, 41 p., https://doi.org/10.3133/sir20205081.","productDescription":"Report: viii, 41 p.; Data Release","numberOfPages":"41","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-113175","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":380510,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5081/coverthb.jpg"},{"id":380511,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5081/sir20205081.pdf","text":"Report","size":"3.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5081"},{"id":380512,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XCVHY3","text":"USGS data release","linkHelpText":"Ambystomatid salamander population and breeding pond habitat data for the Delaware Water Gap National Recreation Area (2001–2003)"}],"country":"United States","state":"New Jersey, Pennsylvania","otherGeospatial":"Delaware Water Gap National Recreation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.7564697265625,\n              41.380930388318\n            ],\n            [\n              -74.8992919921875,\n              41.29844430929419\n            ],\n            [\n              -74.9761962890625,\n              41.18278832811288\n            ],\n            [\n              -75.1080322265625,\n              41.06692773019345\n            ],\n            [\n              -75.179443359375,\n              40.992337919312305\n            ],\n            [\n              -75.1629638671875,\n              40.93011520598305\n            ],\n            [\n              -75.0970458984375,\n              40.93841495689795\n            ],\n            [\n              -74.893798828125,\n              41.075210270566636\n            ],\n            [\n              -74.6630859375,\n              41.253032440653186\n            ],\n            [\n              -74.7564697265625,\n              41.380930388318\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>11649 Leetown Road<br>Kearneysville, WV 25430</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Area</li><li>Methods</li><li>Findings</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-11-23","noUsgsAuthors":false,"publicationDate":"2020-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":804867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":804868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Julian, James T.","contributorId":244030,"corporation":false,"usgs":false,"family":"Julian","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":48803,"text":"Pennsylvania Department of Conservation and Natural Resources, Mira Lloyd Dock Resource Conservation Center","active":true,"usgs":false}],"preferred":false,"id":804869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":804870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Julian, Shanon E.","contributorId":244894,"corporation":false,"usgs":false,"family":"Julian","given":"Shanon","email":"","middleInitial":"E.","affiliations":[{"id":34554,"text":"U.S. Fish and Wildlife Service Northeast Fishery Center","active":true,"usgs":false}],"preferred":false,"id":804871,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70216751,"text":"70216751 - 2020 - U.S. mineral supply chain security in the age of pandemics and trade wars","interactions":[],"lastModifiedDate":"2020-12-04T15:53:22.134457","indexId":"70216751","displayToPublicDate":"2020-11-23T09:48:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7448,"text":"The Science Breaker","active":true,"publicationSubtype":{"id":10}},"title":"U.S. mineral supply chain security in the age of pandemics and trade wars","docAbstract":"Modern technology makes use of numerous mineral commodities whose production is concentrated in a few countries. New research identifies the commodities whose supply disruption poses the greatest risk to the manufacturing sector. While the analysis is applied to the U.S. manufacturing sector, the principles are equally applicable to other economies heavily reliant on imported mineral materials.","language":"English","publisher":"The Science Breaker","doi":"10.25250/thescbr.brk421","usgsCitation":"Nassar, N., and Fortier, S.M., 2020, U.S. mineral supply chain security in the age of pandemics and trade wars: The Science Breaker, HTML Document, https://doi.org/10.25250/thescbr.brk421.","productDescription":"HTML Document","ipdsId":"IP-118370","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":454764,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.25250/thescbr.brk421","text":"Publisher Index Page"},{"id":380983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nassar, Nedal 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":196630,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":806065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fortier, Steven M. 0000-0001-8123-5749","orcid":"https://orcid.org/0000-0001-8123-5749","contributorId":202406,"corporation":false,"usgs":true,"family":"Fortier","given":"Steven","email":"","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":806066,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227148,"text":"70227148 - 2020 - Linking mosquito surveillance to dengue fever through Bayesian mechanistic modeling","interactions":[],"lastModifiedDate":"2022-01-03T15:52:27.699945","indexId":"70227148","displayToPublicDate":"2020-11-23T09:25:28","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5023,"text":"PLoS Neglected Tropical Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Linking mosquito surveillance to dengue fever through Bayesian mechanistic modeling","docAbstract":"<p><span>Our ability to effectively prevent the transmission of the dengue virus through targeted control of its vector,&nbsp;</span><i>Aedes aegypti</i><span>, depends critically on our understanding of the link between mosquito abundance and human disease risk. Mosquito and clinical surveillance data are widely collected, but linking them requires a modeling framework that accounts for the complex non-linear mechanisms involved in transmission. Most critical are the bottleneck in transmission imposed by mosquito lifespan relative to the virus’ extrinsic incubation period, and the dynamics of human immunity. We developed a differential equation model of dengue transmission and embedded it in a Bayesian hierarchical framework that allowed us to estimate latent time series of mosquito demographic rates from mosquito trap counts and dengue case reports from the city of Vitória, Brazil. We used the fitted model to explore how the timing of a pulse of adult mosquito control influences its effect on the human disease burden in the following year. We found that control was generally more effective when implemented in periods of relatively low mosquito mortality (when mosquito abundance was also generally low). In particular, control implemented in early September (week 34 of the year) produced the largest reduction in predicted human case reports over the following year. This highlights the potential long-term utility of broad, off-peak-season mosquito control in addition to existing, locally targeted within-season efforts. Further, uncertainty in the effectiveness of control interventions was driven largely by posterior variation in the average mosquito mortality rate (closely tied to total mosquito abundance) with lower mosquito mortality generating systems more vulnerable to control. Broadly, these correlations suggest that mosquito control is most effective in situations in which transmission is already limited by mosquito abundance.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pntd.0008868","usgsCitation":"Leach, C.B., Hoeting, J., Pepin, K.M., Eiras, A.E., Hooten, M., and Colleen T. Webb, C., 2020, Linking mosquito surveillance to dengue fever through Bayesian mechanistic modeling: PLoS Neglected Tropical Diseases, v. 14, no. 11, p. 1-20, https://doi.org/10.1371/journal.pntd.0008868.","productDescription":"e0008868, 20 p.","startPage":"1","endPage":"20","ipdsId":"IP-107662","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":454766,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pntd.0008868","text":"Publisher Index Page"},{"id":393742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","state":"Espírito Santo","city":"Vitória","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -40.42968749999999,\n              -20.43473423110048\n            ],\n            [\n              -40.222320556640625,\n              -20.43473423110048\n            ],\n            [\n              -40.222320556640625,\n              -20.17456745043183\n            ],\n            [\n              -40.42968749999999,\n              -20.17456745043183\n            ],\n            [\n              -40.42968749999999,\n              -20.43473423110048\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Leach, Clinton B.","contributorId":270703,"corporation":false,"usgs":false,"family":"Leach","given":"Clinton","email":"","middleInitial":"B.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":829794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoeting, Jennifer A.","contributorId":270704,"corporation":false,"usgs":false,"family":"Hoeting","given":"Jennifer A.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":829795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pepin, Kim M.","contributorId":270705,"corporation":false,"usgs":false,"family":"Pepin","given":"Kim","email":"","middleInitial":"M.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":829796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eiras, Alvaro E.","contributorId":270706,"corporation":false,"usgs":false,"family":"Eiras","given":"Alvaro","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":829797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":829793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Colleen T. Webb, Colleen T.","contributorId":270707,"corporation":false,"usgs":false,"family":"Colleen T. Webb","given":"Colleen T.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":829798,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70226612,"text":"70226612 - 2020 - Evaluation of Arctic warming in mid-Pliocene climate simulations","interactions":[],"lastModifiedDate":"2021-12-01T13:03:35.899178","indexId":"70226612","displayToPublicDate":"2020-11-23T06:57:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of Arctic warming in mid-Pliocene climate simulations","docAbstract":"<p id=\"d1e473\">Palaeoclimate simulations improve our understanding of the climate, inform us about the performance of climate models in a different climate scenario, and help to identify robust features of the climate system. Here, we analyse Arctic warming in an ensemble of 16 simulations of the mid-Pliocene Warm Period (mPWP), derived from the Pliocene Model Intercomparison Project Phase 2 (PlioMIP2).</p><p id=\"d1e476\">The PlioMIP2 ensemble simulates Arctic (60–90<span class=\"inline-formula\"><sup>∘</sup></span> N) annual mean surface air temperature (SAT) increases of 3.7 to 11.6 <span class=\"inline-formula\"><sup>∘</sup></span>C compared to the pre-industrial period, with a multi-model mean (MMM) increase of 7.2 <span class=\"inline-formula\"><sup>∘</sup></span>C. The Arctic warming amplification ratio relative to global SAT anomalies in the ensemble ranges from 1.8 to 3.1 (MMM is 2.3). Sea ice extent anomalies range from<span>&nbsp;</span><span class=\"inline-formula\">−3.0</span><span>&nbsp;</span>to<span>&nbsp;</span><span class=\"inline-formula\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M5&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot; dspmath=&quot;mathml&quot;><mrow><mo>-</mo><mn mathvariant=&quot;normal&quot;>10.4</mn><mo>&amp;#xD7;</mo><msup><mn mathvariant=&quot;normal&quot;>10</mn><mn mathvariant=&quot;normal&quot;>6</mn></msup></mrow></math>\"><span id=\"M5\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mrow\"><span id=\"MathJax-Span-4\" class=\"mo\">−</span><span id=\"MathJax-Span-5\" class=\"mn\">10.4</span><span id=\"MathJax-Span-6\" class=\"mo\">×</span><span id=\"MathJax-Span-7\" class=\"msup\"><span id=\"MathJax-Span-8\" class=\"mn\">10</span><span id=\"MathJax-Span-9\" class=\"mn\">6</span></span></span></span></span></span></span></span> km<span class=\"inline-formula\"><sup>2</sup></span>, with a MMM anomaly of<span>&nbsp;</span><span class=\"inline-formula\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M7&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot; dspmath=&quot;mathml&quot;><mrow><mo>-</mo><mn mathvariant=&quot;normal&quot;>5.6</mn><mo>&amp;#xD7;</mo><msup><mn mathvariant=&quot;normal&quot;>10</mn><mn mathvariant=&quot;normal&quot;>6</mn></msup></mrow></math>\"><span id=\"M7\" class=\"math\"><span><span id=\"MathJax-Span-11\" class=\"mrow\"><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"mo\">−</span><span id=\"MathJax-Span-14\" class=\"mn\">5.6</span><span id=\"MathJax-Span-15\" class=\"mo\">×</span><span id=\"MathJax-Span-16\" class=\"msup\"><span id=\"MathJax-Span-17\" class=\"mn\">10</span><span id=\"MathJax-Span-18\" class=\"mn\">6</span></span></span></span></span></span></span></span> km<span class=\"inline-formula\"><sup>2</sup></span>, which constitutes a decrease of 53 % compared to the pre-industrial period. The majority (11 out of 16) of models simulate summer sea-ice-free conditions (<span class=\"inline-formula\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M9&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot; dspmath=&quot;mathml&quot;><mrow><mo>&amp;#x2264;</mo><mn mathvariant=&quot;normal&quot;>1</mn><mo>&amp;#xD7;</mo><msup><mn mathvariant=&quot;normal&quot;>10</mn><mn mathvariant=&quot;normal&quot;>6</mn></msup></mrow></math>\"><span id=\"M9\" class=\"math\"><span><span id=\"MathJax-Span-20\" class=\"mrow\"><span id=\"MathJax-Span-21\" class=\"mrow\"><span id=\"MathJax-Span-22\" class=\"mo\">≤</span><span id=\"MathJax-Span-23\" class=\"mn\">1</span><span id=\"MathJax-Span-24\" class=\"mo\">×</span><span id=\"MathJax-Span-25\" class=\"msup\"><span id=\"MathJax-Span-26\" class=\"mn\">10</span><span id=\"MathJax-Span-27\" class=\"mn\">6</span></span></span></span></span></span></span></span> km<span class=\"inline-formula\"><sup>2</sup>)</span><span>&nbsp;</span>in their mPWP simulation. The ensemble tends to underestimate SAT in the Arctic when compared to available reconstructions, although the degree of underestimation varies strongly between the simulations. The simulations with the highest Arctic SAT anomalies tend to match the proxy dataset in its current form better. The ensemble shows some agreement with reconstructions of sea ice, particularly with regard to seasonal sea ice. Large uncertainties limit the confidence that can be placed in the findings and the compatibility of the different proxy datasets. We show that while reducing uncertainties in the reconstructions could decrease the SAT data–model discord substantially, further improvements are likely to be found in enhanced boundary conditions or model physics. Lastly, we compare the Arctic warming in the mPWP to projections of future Arctic warming and find that the PlioMIP2 ensemble simulates greater Arctic amplification than CMIP5 future climate simulations and an increase instead of a decrease in Atlantic Meridional Overturning Circulation (AMOC) strength compared to pre-industrial period. The results highlight the importance of slow feedbacks in equilibrium climate simulations, and that caution must be taken when using simulations of the mPWP as an analogue for future climate change.</p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/cp-16-2325-2020","usgsCitation":"de Nooijer, W., Zhang, Q., Li, Q., Zhang, Q., Li, X., Zhang, Z., Guo, C., Nisancioglu, K.H., Haywood, A.M., Tindall, J.C., Dowsett, H.J., Stepanek, C., Lohman, G., Otto-Bliesner, B.L., Feng, R., Sohl, L., Chandler, M., Tan, N., Contoux, C., Ramstein, G., Baatsen, M., von der Heydt, A.S., Chandan, D., Peltier, W.R., Abe-Ouchi, A., Chan, W., Kamae, Y., and Brierley, C.M., 2020, Evaluation of Arctic warming in mid-Pliocene climate simulations: Climate of the Past, v. 16, no. 6, p. 2325-2341, https://doi.org/10.5194/cp-16-2325-2020.","productDescription":"17 p.","startPage":"2325","endPage":"2341","ipdsId":"IP-123682","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":454772,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-16-2325-2020","text":"Publisher Index Page"},{"id":392294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"de Nooijer, Wesley","contributorId":269574,"corporation":false,"usgs":false,"family":"de Nooijer","given":"Wesley","email":"","affiliations":[{"id":55985,"text":"Department of Physical Geography and Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden","active":true,"usgs":false}],"preferred":false,"id":827460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Qiong","contributorId":269575,"corporation":false,"usgs":false,"family":"Zhang","given":"Qiong","email":"","affiliations":[{"id":55985,"text":"Department of Physical Geography and Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden","active":true,"usgs":false}],"preferred":false,"id":827461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Qiang","contributorId":197310,"corporation":false,"usgs":false,"family":"Li","given":"Qiang","email":"","affiliations":[],"preferred":false,"id":827462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Qiang","contributorId":210479,"corporation":false,"usgs":false,"family":"Zhang","given":"Qiang","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":827463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Xiangyu","contributorId":219286,"corporation":false,"usgs":false,"family":"Li","given":"Xiangyu","email":"","affiliations":[],"preferred":false,"id":827464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Zhongshi","contributorId":269576,"corporation":false,"usgs":false,"family":"Zhang","given":"Zhongshi","email":"","affiliations":[{"id":55988,"text":"Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":827465,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guo, Chuncheng","contributorId":269577,"corporation":false,"usgs":false,"family":"Guo","given":"Chuncheng","email":"","affiliations":[{"id":55989,"text":"NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen, Norway","active":true,"usgs":false}],"preferred":false,"id":827466,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nisancioglu, Kerim H","contributorId":269578,"corporation":false,"usgs":false,"family":"Nisancioglu","given":"Kerim","email":"","middleInitial":"H","affiliations":[{"id":55989,"text":"NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen, Norway","active":true,"usgs":false}],"preferred":false,"id":827467,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Haywood, Alan M","contributorId":206288,"corporation":false,"usgs":false,"family":"Haywood","given":"Alan","email":"","middleInitial":"M","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":827468,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tindall, Julia C.","contributorId":147376,"corporation":false,"usgs":false,"family":"Tindall","given":"Julia","email":"","middleInitial":"C.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":827469,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","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":827470,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stepanek, Christian","contributorId":220691,"corporation":false,"usgs":false,"family":"Stepanek","given":"Christian","email":"","affiliations":[{"id":40240,"text":"Alfred Wegener Institute-Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany","active":true,"usgs":false}],"preferred":false,"id":827471,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lohman, Gerrit","contributorId":269580,"corporation":false,"usgs":false,"family":"Lohman","given":"Gerrit","email":"","affiliations":[{"id":55990,"text":"Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany","active":true,"usgs":false}],"preferred":false,"id":827472,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Otto-Bliesner, Bette L.","contributorId":209685,"corporation":false,"usgs":false,"family":"Otto-Bliesner","given":"Bette","email":"","middleInitial":"L.","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":827473,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Feng, Ran","contributorId":269581,"corporation":false,"usgs":false,"family":"Feng","given":"Ran","email":"","affiliations":[{"id":55991,"text":"Department of Geosciences, College of Liberal Arts and Sciences, University of Connecticut, Connecticut, USA","active":true,"usgs":false}],"preferred":false,"id":827474,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Sohl, Linda E","contributorId":269582,"corporation":false,"usgs":false,"family":"Sohl","given":"Linda E","affiliations":[{"id":55992,"text":"CCSR/GISS, Columbia University, New York, USA","active":true,"usgs":false}],"preferred":false,"id":827475,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Chandler, Mark","contributorId":197010,"corporation":false,"usgs":false,"family":"Chandler","given":"Mark","affiliations":[],"preferred":false,"id":827571,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Tan, Ning","contributorId":269583,"corporation":false,"usgs":false,"family":"Tan","given":"Ning","email":"","affiliations":[{"id":55993,"text":"Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, CHINA","active":true,"usgs":false}],"preferred":false,"id":827476,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Contoux, Camille","contributorId":269584,"corporation":false,"usgs":false,"family":"Contoux","given":"Camille","email":"","affiliations":[{"id":55994,"text":"Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France","active":true,"usgs":false}],"preferred":false,"id":827477,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Ramstein, Gilles","contributorId":269585,"corporation":false,"usgs":false,"family":"Ramstein","given":"Gilles","email":"","affiliations":[{"id":55994,"text":"Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France","active":true,"usgs":false}],"preferred":false,"id":827478,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Baatsen, Michiel","contributorId":269586,"corporation":false,"usgs":false,"family":"Baatsen","given":"Michiel","email":"","affiliations":[{"id":55995,"text":"Centre for Complex Systems Science, Utrecht University, Utrecht, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":827479,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"von der Heydt, Anna S","contributorId":269587,"corporation":false,"usgs":false,"family":"von der Heydt","given":"Anna","email":"","middleInitial":"S","affiliations":[{"id":55995,"text":"Centre for Complex Systems Science, Utrecht University, Utrecht, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":827480,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Chandan, Deepak","contributorId":269588,"corporation":false,"usgs":false,"family":"Chandan","given":"Deepak","email":"","affiliations":[{"id":55996,"text":"Department of Physics, University of Toronto, Toronto, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":827481,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Peltier, W. Richard","contributorId":150752,"corporation":false,"usgs":false,"family":"Peltier","given":"W.","email":"","middleInitial":"Richard","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":827572,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Abe-Ouchi, A.","contributorId":173111,"corporation":false,"usgs":false,"family":"Abe-Ouchi","given":"A.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":827482,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Chan, W-L","contributorId":269589,"corporation":false,"usgs":false,"family":"Chan","given":"W-L","affiliations":[{"id":55997,"text":"Centre for Earth Surface System Dynamics (CESD), Atmosphere and Ocean Research Institute (AORI), University of Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":827483,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Kamae, Youichi","contributorId":269590,"corporation":false,"usgs":false,"family":"Kamae","given":"Youichi","email":"","affiliations":[{"id":55998,"text":"Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Japan","active":true,"usgs":false}],"preferred":false,"id":827484,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Brierley, Chris M","contributorId":269591,"corporation":false,"usgs":false,"family":"Brierley","given":"Chris","email":"","middleInitial":"M","affiliations":[{"id":55999,"text":"Department of Geography, University College London, London, UK","active":true,"usgs":false}],"preferred":false,"id":827485,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}}
,{"id":70217645,"text":"70217645 - 2020 - Evaluating wildlife translocations using genomics: A bighorn sheep case study","interactions":[],"lastModifiedDate":"2021-01-26T13:09:57.931076","indexId":"70217645","displayToPublicDate":"2020-11-21T07:04:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating wildlife translocations using genomics: A bighorn sheep case study","docAbstract":"<p><span>Wildlife restoration often involves translocation efforts to reintroduce species and supplement small, fragmented populations. We examined the genomic consequences of bighorn sheep (</span><i>Ovis canadensis</i><span>) translocations and population isolation to enhance understanding of evolutionary processes that affect population genetics and inform future restoration strategies. We conducted a population genomic analysis of 511 bighorn sheep from 17 areas, including native and reintroduced populations that received 0–10 translocations. Using the Illumina High Density Ovine array, we generated datasets of 6,155 to 33,289 single nucleotide polymorphisms and completed clustering, population tree, and kinship analyses. Our analyses determined that natural gene flow did not occur between most populations, including two pairs of native herds that had past connectivity. We synthesized genomic evidence across analyses to evaluate 24 different translocation events and detected eight successful reintroductions (i.e., lack of signal for recolonization from nearby populations) and five successful augmentations (i.e., reproductive success of translocated individuals) based on genetic similarity with the source populations. A single native population founded six of the reintroduced herds, suggesting that environmental conditions did not need to match for populations to persist following reintroduction. Augmentations consisting of 18–57 animals including males and females succeeded, whereas augmentations of two males did not result in a detectable genetic signature. Our results provide insight on genomic distinctiveness of native and reintroduced herds, information on the relative success of reintroduction and augmentation efforts and their associated attributes, and guidance to enhance genetic contribution of augmentations and reintroductions to aid in bighorn sheep restoration.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6942","usgsCitation":"Flesch, E.P., Graves, T., Thomson, J., Proffitt, K., White, P., Stephenson, T.R., and Garrott, R.A., 2020, Evaluating wildlife translocations using genomics: A bighorn sheep case study: Ecology and Evolution, v. 10, no. 24, p. 13687-13704, https://doi.org/10.1002/ece3.6942.","productDescription":"18 p.","startPage":"13687","endPage":"13704","ipdsId":"IP-113330","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":454775,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6942","text":"Publisher Index Page"},{"id":436715,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VMIFLP","text":"USGS data release","linkHelpText":"Bighorn sheep Ovine HD array genotypes from National Parks, 2004-2011"},{"id":382578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Montana, Idaho, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.49902343749999,\n              43.42100882994726\n            ],\n            [\n              -108.28125,\n              43.42100882994726\n            ],\n            [\n              -108.28125,\n              48.980216985374994\n            ],\n            [\n              -116.49902343749999,\n              48.980216985374994\n            ],\n            [\n              -116.49902343749999,\n              43.42100882994726\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"24","noUsgsAuthors":false,"publicationDate":"2020-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Flesch, Elizabeth P 0000-0002-7592-8124","orcid":"https://orcid.org/0000-0002-7592-8124","contributorId":222685,"corporation":false,"usgs":false,"family":"Flesch","given":"Elizabeth","email":"","middleInitial":"P","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":809074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":809075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomson, Jennifer 0000-0003-1921-0975","orcid":"https://orcid.org/0000-0003-1921-0975","contributorId":248418,"corporation":false,"usgs":false,"family":"Thomson","given":"Jennifer","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":809076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Proffitt, Kelly 0000-0001-5528-3309","orcid":"https://orcid.org/0000-0001-5528-3309","contributorId":210093,"corporation":false,"usgs":false,"family":"Proffitt","given":"Kelly","email":"","affiliations":[{"id":38065,"text":"Montana Fish, Wildlife and Parks, Bozeman, Montana","active":true,"usgs":false}],"preferred":false,"id":809077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, P.J.","contributorId":194049,"corporation":false,"usgs":false,"family":"White","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":809078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stephenson, Thomas R","contributorId":248420,"corporation":false,"usgs":false,"family":"Stephenson","given":"Thomas","email":"","middleInitial":"R","affiliations":[{"id":12939,"text":"California Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":809079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garrott, Robert A.","contributorId":171537,"corporation":false,"usgs":false,"family":"Garrott","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":809080,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70228261,"text":"70228261 - 2020 - Perceived ecological threats and economic benefits of non-native black bass in the United States","interactions":[],"lastModifiedDate":"2022-02-09T12:01:17.625618","indexId":"70228261","displayToPublicDate":"2020-11-20T14:32:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Perceived ecological threats and economic benefits of non-native black bass in the United States","docAbstract":"<p><span>Black bass&nbsp;</span><i>Micropterus</i><span>&nbsp;spp. are highly sought-after sport fish and, where introduced, are emblematic of the tradeoffs between ensuring productive fisheries and conserving native biodiversity. To disentangle these potentially conflicting interests, we administered a survey of fisheries biologists in the United States to assess perceptions regarding ecological and economic impacts of non-native black bass between anthropogenic and natural habitats. Our results indicate that non-native black bass are generally considered economically beneficial in both habitat types. Contrastingly, these species were perceived to have significantly more negative ecological impacts in natural than anthropogenic habitats. Our findings suggest that habitat may be an important factor to partition the conflicting ecological–economic dynamic of non-native black bass. Implications of this study suggest that challenges remain for managers attempting to balance the paradoxical nature of these species as both desired sport fishes and as potentially harmful invaders when found outside their native range.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10520","usgsCitation":"Seguy, L., and Long, J.M., 2020, Perceived ecological threats and economic benefits of non-native black bass in the United States: Fisheries Magazine, v. 46, no. 2, p. 56-65, https://doi.org/10.1002/fsh.10520.","productDescription":"10 p.","startPage":"56","endPage":"65","ipdsId":"IP-109881","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395652,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      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    ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"46","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Seguy, Lauren","contributorId":274995,"corporation":false,"usgs":false,"family":"Seguy","given":"Lauren","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":833551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833552,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70212841,"text":"70212841 - 2020 - Anadromous coastal cutthroat trout Oncorhynchus clarkii clarkii as a host for Argulus pugettensis (Crustacea, Branchiura): Parasite prevalence, intensity and distribution","interactions":[],"lastModifiedDate":"2021-01-08T20:44:22.693145","indexId":"70212841","displayToPublicDate":"2020-11-20T14:27:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Anadromous coastal cutthroat trout <i>Oncorhynchus clarkii clarkii </i>as a host for <i>Argulus pugettensis </i> (Crustacea, Branchiura): Parasite prevalence, intensity and distribution","title":"Anadromous coastal cutthroat trout Oncorhynchus clarkii clarkii as a host for Argulus pugettensis (Crustacea, Branchiura): Parasite prevalence, intensity and distribution","docAbstract":"<p><span>Coastal cutthroat trout [</span><i>Oncorhynchus clarkii clarkii</i><span>&nbsp;(Richardson, 1836)] from the marine waters of Puget Sound, WA, was documented as a new host for the ectoparasite&nbsp;</span><i>Argulus pugettensis</i><span>&nbsp;(</span>Dana, 1852<span>). The prevalence of&nbsp;</span><i>A. pugettensis</i><span>&nbsp;was 66% (49 of 74) on cutthroat trout and 0% (0 of 55) on coho salmon [</span><i>O. kisutch</i><span>&nbsp;(Walbaum, 1792)] collected during the winter of 2017/2018. Infestations occurred most frequently on the dorsal surface, with intensities ranging from 1 to 26 argulids per fish (mean intensity 3.94 ± 4.93 S.D.). In contrast, the prevalence of the common salmon louse [</span><i>Lepeophtheirus salmonis</i><span>&nbsp;(Krøyer, 1837)] was 72% for cutthroat trout and 31% for coho salmon. Relative to other native salmonids, little is known regarding the status, ecology and threats for coastal cutthroat trout. New information reported here is a first step in understanding the relationship between this wild, native trout and infestations by parasitic sea lice and should be followed by future studies aimed to identify population level consequences.</span></p>","language":"English","publisher":"BioOne","doi":"10.3955/046.094.0202","usgsCitation":"Losee, J.P., Jones, S.R., McKinstry, C.A., Batts, W.N., and Hershberger, P., 2020, Anadromous coastal cutthroat trout Oncorhynchus clarkii clarkii as a host for Argulus pugettensis (Crustacea, Branchiura): Parasite prevalence, intensity and distribution: Northwest Science, v. 94, no. 2, p. 111-117, https://doi.org/10.3955/046.094.0202.","productDescription":"7 p.","startPage":"111","endPage":"117","ipdsId":"IP-102738","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":382044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Losee, James P","contributorId":239689,"corporation":false,"usgs":false,"family":"Losee","given":"James","email":"","middleInitial":"P","affiliations":[{"id":47976,"text":"Washington Department of Fish and Wildlife, Fish Program, Olympia, WA, 98501, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":797629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Simon R M","contributorId":239690,"corporation":false,"usgs":false,"family":"Jones","given":"Simon","email":"","middleInitial":"R M","affiliations":[{"id":47977,"text":"Fisheries and Oceans Canada, Pacific Biological Station, Nanaimo, BC V9T 6N7, Canada, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":797630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKinstry, Caitlin A E","contributorId":239691,"corporation":false,"usgs":false,"family":"McKinstry","given":"Caitlin","email":"","middleInitial":"A E","affiliations":[{"id":47978,"text":"Prince William Sound Science Center, Cordova, AK 99574","active":true,"usgs":false}],"preferred":false,"id":797631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Batts, William N. 0000-0002-6469-9004 bbatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6469-9004","contributorId":3815,"corporation":false,"usgs":true,"family":"Batts","given":"William","email":"bbatts@usgs.gov","middleInitial":"N.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":797632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hershberger, Paul 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":203322,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":797633,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70216499,"text":"70216499 - 2020 - Polar Bear (Ursus maritimus)","interactions":[],"lastModifiedDate":"2020-11-24T14:05:15.269021","indexId":"70216499","displayToPublicDate":"2020-11-20T08:03:44","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"14","title":"Polar Bear (Ursus maritimus)","docAbstract":"<div class=\"panel chapter large-9 small-12 column main-column left\"><div class=\"reading-width\"><div class=\"chapter\"><div class=\"overview\"><div class=\"description\"><div class=\"summary\"><div class=\"abstract\" data-abstract-type=\"normal\"><p>This chapter comprises the following sections: names, taxonomy, subspecies and distribution, descriptive notes, habitat, movements and home range, activity patterns, feeding ecology, reproduction and growth, behavior, parasites and diseases, status in the wild, and status in captivity.</p></div></div></div></div></div></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Bears of the world: Ecology, conservation and management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/9781108692571.015","isbn":"9781108483520","usgsCitation":"Rode, K.D., Obbard, M.E., Belikov, S., Derocher, A.E., Durner, G.M., Thiemann, G., Tryland, M., Letcher, R.J., Meyersen, R., Sonne, C., Jenssen, B., Dietz, R., and Vongraven, D., 2020, Polar Bear (Ursus maritimus), chap. 14 <i>of</i> Bears of the world: Ecology, conservation and management, p. 196-212, https://doi.org/10.1017/9781108692571.015.","productDescription":"17 p.","startPage":"196","endPage":"212","ipdsId":"IP-105936","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":380742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":805453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Obbard, Martyn E.","contributorId":108002,"corporation":false,"usgs":false,"family":"Obbard","given":"Martyn","email":"","middleInitial":"E.","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":805454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belikov, Stanislav","contributorId":19513,"corporation":false,"usgs":false,"family":"Belikov","given":"Stanislav","email":"","affiliations":[],"preferred":false,"id":805455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Derocher, Andrew E.","contributorId":96189,"corporation":false,"usgs":false,"family":"Derocher","given":"Andrew","email":"","middleInitial":"E.","affiliations":[{"id":12980,"text":"Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":805456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":805457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thiemann, Gregory","contributorId":195129,"corporation":false,"usgs":false,"family":"Thiemann","given":"Gregory","affiliations":[],"preferred":false,"id":805458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tryland, Morten","contributorId":245151,"corporation":false,"usgs":false,"family":"Tryland","given":"Morten","email":"","affiliations":[{"id":49094,"text":"University of Norway","active":true,"usgs":false}],"preferred":false,"id":805459,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Letcher, Robert J.","contributorId":176209,"corporation":false,"usgs":false,"family":"Letcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":805460,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Meyersen, Randi","contributorId":245152,"corporation":false,"usgs":false,"family":"Meyersen","given":"Randi","email":"","affiliations":[{"id":49095,"text":"Detroit Zoo","active":true,"usgs":false}],"preferred":false,"id":805461,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sonne, Christian","contributorId":218344,"corporation":false,"usgs":false,"family":"Sonne","given":"Christian","email":"","affiliations":[{"id":39808,"text":"Aarhus University, Arctic Research Centre (ARC), Department of Bioscience","active":true,"usgs":false}],"preferred":false,"id":805462,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jenssen, Bjorn","contributorId":245153,"corporation":false,"usgs":false,"family":"Jenssen","given":"Bjorn","affiliations":[{"id":39348,"text":"Norwegian University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":805463,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dietz, Rune","contributorId":191799,"corporation":false,"usgs":false,"family":"Dietz","given":"Rune","email":"","affiliations":[],"preferred":false,"id":805464,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Vongraven, Dag","contributorId":131092,"corporation":false,"usgs":false,"family":"Vongraven","given":"Dag","email":"","affiliations":[{"id":7238,"text":"Norwegian Polar Institute","active":true,"usgs":false}],"preferred":false,"id":805465,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70216502,"text":"70216502 - 2020 - How Is climate change affecting polar bears and giant pandas?","interactions":[],"lastModifiedDate":"2020-11-24T14:01:55.093905","indexId":"70216502","displayToPublicDate":"2020-11-20T08:01:09","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"21","title":"How Is climate change affecting polar bears and giant pandas?","docAbstract":"<div class=\"panel chapter large-9 small-12 column main-column left\"><div class=\"reading-width\"><div class=\"chapter\"><div class=\"overview\"><div class=\"description\"><div class=\"summary\"><div class=\"abstract\" data-abstract-type=\"normal\"><p>Anthropogenic greenhouse gas emissions are the primary cause of climate change and an estimated increase of 3.7 to 4.8 °C is predicted by the year 2100 if emissions continue at current levels. Polar bears (Ursus maritimus) and giant pandas (Ailuropoda melanoleuca) provide an interesting comparison study of the impact of climate change on bear species. While polar bears and giant pandas are arguably the most distant of the bear species with regard to life histories and behavior, both are likely to be significantly impacted by the broad-scale changes to their environment that are predicted to result from climate change. Herein, we review the conservation status of both species and their habitats, and present current and predicted evidence of the impacts of a changing climate on polar bear and giant panda survival.</p></div></div></div></div></div></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Bears of the world: Ecology, conservation, and management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/9781108692571.022","isbn":"9781108692571","usgsCitation":"Songer, M., Atwood, T.C., Douglas, D.C., Huang, Q., Li, R., Pilfold, N., Xu, M., and Durner, G.M., 2020, How Is climate change affecting polar bears and giant pandas?, chap. 21 <i>of</i> Bears of the world: Ecology, conservation, and management, p. 303-316, https://doi.org/10.1017/9781108692571.022.","productDescription":"14 p.","startPage":"303","endPage":"316","ipdsId":"IP-106433","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":380741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Songer, Melissa","contributorId":245157,"corporation":false,"usgs":false,"family":"Songer","given":"Melissa","email":"","affiliations":[{"id":49100,"text":"Smithsonian National Zoo","active":true,"usgs":false}],"preferred":false,"id":805479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":805477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":805478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huang, Qiongyu","contributorId":174402,"corporation":false,"usgs":false,"family":"Huang","given":"Qiongyu","affiliations":[],"preferred":false,"id":805483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Renqiang","contributorId":245159,"corporation":false,"usgs":false,"family":"Li","given":"Renqiang","email":"","affiliations":[{"id":48136,"text":"Chinese Academy of Science","active":true,"usgs":false}],"preferred":false,"id":805482,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pilfold, Nicholas","contributorId":200748,"corporation":false,"usgs":false,"family":"Pilfold","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":805480,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xu, Ming","contributorId":245158,"corporation":false,"usgs":false,"family":"Xu","given":"Ming","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":805481,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":805476,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70216491,"text":"70216491 - 2020 - Development of a novel framework for modeling field-scale conservation effects of depressional wetlands in agricultural landscapes","interactions":[],"lastModifiedDate":"2020-11-23T13:47:37.113837","indexId":"70216491","displayToPublicDate":"2020-11-20T07:46:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Development of a novel framework for modeling field-scale conservation effects of depressional wetlands in agricultural landscapes","docAbstract":"<div id=\"abstract-1\" class=\"section abstract\"><p id=\"p-2\">The intermixed cropland, grassland, and wetland ecosystems of the upper mid-western United States combine to provide a suite of valuable ecological services. Grassland and wetland losses in the upper midwestern United States have been extensive, but government-funded conservation programs have protected and restored hundreds of thousands of acres of wetland and grassland habitat in the region. The value of restored wetlands in agricultural fields is complex, and the USDA Natural Resource Conservation Service, Conservation Effects Assessment Project (CEAP) has been lacking the methodology to include these conservation practices in their analyses. Our aim is to develop a reproducible methodology for simulating wetlands within the CEAP cropland modeling framework used to evaluate other agricultural conservation practices. Furthermore, we evaluate the effect of using upland conservation practices on the functioning of restored wetlands. By simulating the addition of a depressional wetland that effectively removes 6% of the field from crop production, we obtained a 15% reduction in annual runoff and a 29% and 28% reduction in mean annual nitrogen (N) and phosphorus (P) losses, respectively. The presence of the depressional wetland in the field is estimated to also reduce edge-of-field losses of sediments by 20% and sediment-bound N and P by 19% and 23%, respectively. Additionally, adding a grass filter strip around the wetland greatly decreased sediment inputs to the wetland, increasing the effective life of the wetland, in terms of its ability to perform valued services, by decades to centuries. Our method for modeling depressional wetlands embedded in cropped fields provides a means to quantify the effects of wetland conservation practices on field-level losses for regional assessments, such as the CEAP.</p></div>","language":"English","publisher":"Soil and Water Conservation Society","doi":"10.2489/jswc.2020.00096","usgsCitation":"McKenna, O.P., Osorio, J.M., Behrman, K.D., Doro, L., and Mushet, D.M., 2020, Development of a novel framework for modeling field-scale conservation effects of depressional wetlands in agricultural landscapes: Journal of Soil and Water Conservation, v. 6, no. 75, p. 695-703, https://doi.org/10.2489/jswc.2020.00096.","productDescription":"9 p.","startPage":"695","endPage":"703","ipdsId":"IP-108442","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":454781,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2489/jswc.2020.00096","text":"Publisher Index Page"},{"id":380679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"75","noUsgsAuthors":false,"publicationDate":"2020-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"McKenna, Owen P. 0000-0002-5937-9436 omckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-5937-9436","contributorId":198598,"corporation":false,"usgs":true,"family":"McKenna","given":"Owen","email":"omckenna@usgs.gov","middleInitial":"P.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":805408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osorio, Javier M.","contributorId":245130,"corporation":false,"usgs":false,"family":"Osorio","given":"Javier","email":"","middleInitial":"M.","affiliations":[{"id":49090,"text":"Texas A&M AgriLife Research and Extension Center","active":true,"usgs":false}],"preferred":false,"id":805409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Behrman, Katherine D.","contributorId":245131,"corporation":false,"usgs":false,"family":"Behrman","given":"Katherine","email":"","middleInitial":"D.","affiliations":[{"id":37009,"text":"USDA Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":805410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doro, Luca","contributorId":245132,"corporation":false,"usgs":false,"family":"Doro","given":"Luca","email":"","affiliations":[{"id":49090,"text":"Texas A&M AgriLife Research and Extension Center","active":true,"usgs":false}],"preferred":false,"id":805411,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":805412,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70217038,"text":"70217038 - 2020 - Origin and properties of hydrothermal tremor at Lone Star Geyser, Yellowstone National Park, USA","interactions":[],"lastModifiedDate":"2020-12-29T13:51:48.138349","indexId":"70217038","displayToPublicDate":"2020-11-20T07:45:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Origin and properties of hydrothermal tremor at Lone Star Geyser, Yellowstone National Park, USA","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Geysers are rare geologic features that intermittently discharge liquid water and steam driven by heating and decompression boiling. The cause of variability in eruptive styles and the associated seismic signals are not well understood. Data collected from five broadband seismometers at Lone Star Geyser, Yellowstone National Park are used to determine the properties, location, and temporal patterns of hydrothermal tremor. The tremor is harmonic at some stages of the eruption cycle and is caused by near‐periodic repetition of discrete seismic events. Using the polarization of ground motion, we identify the location of tremor sources throughout several eruption cycles. During preplay episodes (smaller eruptions preceding the more vigorous major eruption), tremor occurs at depths of 7–10&nbsp;m and is laterally offset from the geyser's cone by ~5&nbsp;m. At the onset of the main eruption, tremor sources migrate laterally and become shallower. As the eruption progresses, tremor sources migrate along the same path but in the opposite direction, ending where preplay tremor originates. The upward and then downward migration of tremor sources during eruptions are consistent with warming of the conduit followed by evacuation of water during the main eruption. We identify systematic relations among the two types of preplays, discharge, and the main eruption. A point‐source moment tensor fit to low‐frequency waveforms of an individual tremor event using half‐space velocity models indicates average<span>&nbsp;</span><i>V</i><sub><i>S</i></sub>&nbsp;<span>≳</span>&nbsp;0.8&nbsp;km/s, source depths ~4–20&nbsp;m, and moment tensors with primarily positive isotropic and compensated linear vector dipole moments.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JB019711","usgsCitation":"Nayak, A., Manga, M., Hurwitz, S., Namiki, A., and Dawson, P.B., 2020, Origin and properties of hydrothermal tremor at Lone Star Geyser, Yellowstone National Park, USA: Journal of Geophysical Research, v. 125, no. 12, e2020JB019711, 21 p,, https://doi.org/10.1029/2020JB019711.","productDescription":"e2020JB019711, 21 p,","ipdsId":"IP-121697","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":381720,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park, Lone Star Geyser","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.99624633789062,\n              44.389635634309236\n            ],\n            [\n              -110.77789306640625,\n              44.389635634309236\n            ],\n            [\n              -110.77789306640625,\n              44.53469562326322\n            ],\n            [\n              -110.99624633789062,\n              44.53469562326322\n            ],\n            [\n              -110.99624633789062,\n              44.389635634309236\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"125","issue":"12","noUsgsAuthors":false,"publicationDate":"2020-12-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Nayak, Avinash 0000-0001-7913-7189","orcid":"https://orcid.org/0000-0001-7913-7189","contributorId":245918,"corporation":false,"usgs":false,"family":"Nayak","given":"Avinash","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":807321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manga, Michael","contributorId":243583,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":807322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":807323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Namiki, Atsuko","contributorId":131170,"corporation":false,"usgs":false,"family":"Namiki","given":"Atsuko","email":"","affiliations":[{"id":7267,"text":"University of Tokyo","active":true,"usgs":false}],"preferred":false,"id":807324,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dawson, Phillip B. 0000-0003-4065-0588 dawson@usgs.gov","orcid":"https://orcid.org/0000-0003-4065-0588","contributorId":206751,"corporation":false,"usgs":true,"family":"Dawson","given":"Phillip","email":"dawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":807325,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70216684,"text":"70216684 - 2020 - Seismic attenuation monitoring of a critically stressed San Andreas fault","interactions":[],"lastModifiedDate":"2020-11-30T13:17:56.857109","indexId":"70216684","displayToPublicDate":"2020-11-20T07:06:21","publicationYear":"2020","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":"Seismic attenuation monitoring of a critically stressed San Andreas fault","docAbstract":"<p><span>We show that seismic attenuation (&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/fe6e1bba-0f11-4326-9d90-0344d44a07b8/grl61586-math-0001.png\" alt=\"urn:x-wiley:00948276:media:grl61586:grl61586-math-0001\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/fe6e1bba-0f11-4326-9d90-0344d44a07b8/grl61586-math-0001.png\"><span>) along the San Andreas fault (SAF) at Parkfield correlates with the occurrence of moderate‐to‐large earthquakes at local and regional distances. Earthquake‐related&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/a89f08da-3eff-4c9e-95a4-b39accaeac3b/grl61586-math-0002.png\" alt=\"urn:x-wiley:00948276:media:grl61586:grl61586-math-0002\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/a89f08da-3eff-4c9e-95a4-b39accaeac3b/grl61586-math-0002.png\"><span>&nbsp;anomalies are likely caused by changes in permeability from dilatant static stress changes, damage by strong shaking from local sources, and pore unclogging/clogging from mobilization of colloids by dynamic strains. We find that, prior to the 2004&nbsp;</span><i>M</i><span>6 Parkfield earthquake, prefailure conditions for some local events of moderate magnitude correspond to positive anomalies of&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/999ff49d-0c63-413d-a3d3-7163e4f59927/grl61586-math-0003.png\" alt=\"urn:x-wiley:00948276:media:grl61586:grl61586-math-0003\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/999ff49d-0c63-413d-a3d3-7163e4f59927/grl61586-math-0003.png\"><span>&nbsp;on the Pacific side, with local and regional earthquakes producing sharp attenuation reversals. After the 2004 Parkfield earthquake, we see higher&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/4d674cda-5354-4c8d-a1a4-54b743103370/grl61586-math-0004.png\" alt=\"urn:x-wiley:00948276:media:grl61586:grl61586-math-0004\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/4d674cda-5354-4c8d-a1a4-54b743103370/grl61586-math-0004.png\"><span>&nbsp;anomalies along the SAF, but low sensitivity to local and regional earthquakes, probably because the mainshock significantly altered the permeability state of the rocks adjacent to the SAF, and its sensitivity to earthquake‐induced stress perturbations.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020GL089201","usgsCitation":"Malagnini, L., and Parsons, T.E., 2020, Seismic attenuation monitoring of a critically stressed San Andreas fault: Geophysical Research Letters, v. 47, no. 23, 11 p., https://doi.org/10.1029/2020GL089201.","productDescription":"11 p.","ipdsId":"IP-117715","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":380869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"California","otherGeospatial":"San Andreas Fault-Parkfield Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.72302246093749,\n              35.646137228802424\n            ],\n            [\n              -120.64361572265624,\n              35.646137228802424\n            ],\n            [\n              -120.64361572265624,\n              36.61332303966068\n            ],\n            [\n              -121.72302246093749,\n              36.61332303966068\n            ],\n            [\n              -121.72302246093749,\n              35.646137228802424\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"23","noUsgsAuthors":false,"publicationDate":"2020-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Malagnini, Luca 0000-0001-5809-9945","orcid":"https://orcid.org/0000-0001-5809-9945","contributorId":245308,"corporation":false,"usgs":false,"family":"Malagnini","given":"Luca","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":805881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":805882,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}