{"pageNumber":"639","pageRowStart":"15950","pageSize":"25","recordCount":184645,"records":[{"id":70211855,"text":"70211855 - 2020 - A spatial analysis of climate gentrification in Orleans Parish, Louisiana post-Hurricane Katrina","interactions":[],"lastModifiedDate":"2020-08-10T16:53:10.091613","indexId":"70211855","displayToPublicDate":"2020-03-12T11:41:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1561,"text":"Environmental Research","active":true,"publicationSubtype":{"id":10}},"title":"A spatial analysis of climate gentrification in Orleans Parish, Louisiana post-Hurricane Katrina","docAbstract":"<div id=\"abssec0010\"><h3 id=\"sectitle0015\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Background</h3><p id=\"abspara0010\">Hurricane Katrina made landfall in New Orleans, Louisiana as a Category 3 storm in August 2005. Storm surges, levee failures, and the low-lying nature of New Orleans led to widespread flooding, damage to over 70% of occupied housing, and evacuation of 80–90% of city residents. Only 57% of the city's black population has returned. Many residents complain of gentrification following rebuilding efforts. Climate gentrification is a recently described phenomenon whereby the effects of climate change, most notably rising sea levels and more frequent flooding and storm surges, alter housing values in a way that leads to gentrification.</p></div><div id=\"abssec0015\"><h3 id=\"sectitle0020\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Objective</h3><p id=\"abspara0015\">To examine the climate gentrification following hurricane Katrina by (1) estimating the associations between flooding severity, ground elevation, and gentrification and (2) whether these relationships are modified by neighborhood level pre- and post-storm sociodemographic factors.</p></div><div id=\"abssec0020\"><h3 id=\"sectitle0025\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Methods</h3><p id=\"abspara0020\">Lidar data collected in 2002 were used to determine elevation. Water gauge height of Lake Ponchartrain was used to estimate flood depth. Using census tracts as a proxy for neighborhoods, demographic, housing, and economic data from the 2000 decennial census and the 2010 and 2015 American Community Survey 5-year estimates US Census records were used to determine census tracts considered eligible for gentrification (median income&nbsp;&lt;&nbsp;2000 Orleans Parish median income). A gentrification index was created using tract changes in education level, population above the poverty limit, and median household income. Proportional odds ordinal logistic regression was used with product terms to test for effect measure modification by sociodemographic factors.</p></div><div id=\"abssec0025\"><h3 id=\"sectitle0030\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Results</h3><p id=\"abspara0025\">Census tracts eligible for gentrification in 2000 were 80.2% black. Median census tract flood depth was significantly lower in areas eligible to undergo gentrification (0.70&nbsp;m vs. 1.03&nbsp;m). Residents of gentrification-eligible tracts in 2000 were significantly more likely to be black, less educated, lower income, unemployed, and rent their home rather than own. In 2015 in these same eligible tracts, areas that underwent gentrification became significantly whiter, more educated, higher income, less unemployed, and more likely to live in a multi-unit dwelling. Gentrification was inversely associated with flood depth and directly associated with ground elevation in eligible tracts. Marginal effect modification was detected by the effect of pre-storm black race on the relationships of flood depth and elevation with gentrification.</p></div><div id=\"abssec0030\"><h3 id=\"sectitle0035\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Conclusions</h3><p id=\"abspara0030\">Gentrification was strongly associated with higher ground elevation in New Orleans. These results provide evidence to support the idea of climate gentrification described in other low-elevation major metropolitan areas like Miami, FL. High elevation, low-income, demographically transitional areas in particular – that is areas that more closely resemble high-income area demographics, may be vulnerable to future climate gentrification.</p></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envres.2020.109384","usgsCitation":"Aune, K.T., Gesch, D.B., and Smith, G.S., 2020, A spatial analysis of climate gentrification in Orleans Parish, Louisiana post-Hurricane Katrina: Environmental Research, v. 185, 109384, 9 p., https://doi.org/10.1016/j.envres.2020.109384.","productDescription":"109384, 9 p.","ipdsId":"IP-110969","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":457411,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9045591","text":"External Repository"},{"id":377285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","county":"Orleans 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Kyle T.","contributorId":237826,"corporation":false,"usgs":false,"family":"Aune","given":"Kyle","email":"","middleInitial":"T.","affiliations":[{"id":13508,"text":"Johns Hopkins Bloomberg School of Public health","active":true,"usgs":false}],"preferred":false,"id":795410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":795411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Genee 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,{"id":70209707,"text":"70209707 - 2020 - Structural equation modeling","interactions":[],"lastModifiedDate":"2020-05-01T14:24:49.627176","indexId":"70209707","displayToPublicDate":"2020-03-12T10:28:58","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"Structural equation modeling","docAbstract":"<p><span>This chapter introduces background and historical information on how structural equation modeling (SEM) came to be developed. Then, the main differences between SEM and earlier multivariate methods are explained. The chapter describes three main applications of SEM: path analysis, factor analysis, and hybrid models. Some computer programs are recommended for these applications. The step-by-step section goes over how to estimate structural models with AMOS and R. The chapter concludes with two example applications of SEM in the planning field.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advanced Quantitative Research Methods for Urban Planners","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor and Francis","doi":"10.4324/9780429325038-8","collaboration":"","usgsCitation":"Miller, M., Tasic, I., Lyons, T., Ewing, R., and Grace, J., 2020, Structural equation modeling, chap. 8 <i>of</i> Advanced Quantitative Research Methods for Urban Planners, p. 185-215, https://doi.org/10.4324/9780429325038-8.","productDescription":"31 p.","startPage":"185","endPage":"215","ipdsId":"IP-101484","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":374194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Matt","contributorId":224278,"corporation":false,"usgs":false,"family":"Miller","given":"Matt","affiliations":[{"id":40845,"text":"Department of City and Metropolitan Planning, University of Utah, Salt Lake City","active":true,"usgs":false}],"preferred":false,"id":787615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tasic, Ivana","contributorId":224279,"corporation":false,"usgs":false,"family":"Tasic","given":"Ivana","email":"","affiliations":[],"preferred":false,"id":787616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyons, Torrey","contributorId":224280,"corporation":false,"usgs":false,"family":"Lyons","given":"Torrey","email":"","affiliations":[{"id":40845,"text":"Department of City and Metropolitan Planning, University of Utah, Salt Lake City","active":true,"usgs":false}],"preferred":false,"id":787617,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ewing, Reid","contributorId":204537,"corporation":false,"usgs":false,"family":"Ewing","given":"Reid","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":787618,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grace, James B. 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":221554,"corporation":false,"usgs":true,"family":"Grace","given":"James B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":787619,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70210368,"text":"70210368 - 2020 - Dynamic rupture simulations of the M6.4 and M7.1 July 2019 Ridgecrest, California earthquakes","interactions":[],"lastModifiedDate":"2020-06-02T14:16:37.468532","indexId":"70210368","displayToPublicDate":"2020-03-12T09:11:43","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":"Dynamic rupture simulations of the M6.4 and M7.1 July 2019 Ridgecrest, California earthquakes","docAbstract":"The largest earthquakes of the 2019 Ridgecrest, California, sequence were a M 6.4 left‐lateral rupture followed 34 hr later by a M 7.1 on a perpendicular right‐lateral fault. We use dynamic rupture modeling to address the questions of why the first earthquake did not propagate through the right‐lateral fault in one larger event, whether stress changes from the M 6.4 were necessary for the M 7.1 to occur, and how the Ridgecrest earthquakes affected the nearby Garlock Fault. We find that dynamic clamping and shear stress reduction confined surface rupture in the M 6.4 to the left‐lateral fault. We also find that stress changes from the M 6.4 were not necessary to allow a M 7.1 on the right‐lateral fault but that they affected the slip and likely accelerated the timing of the M 7.1. Lastly, we find that the Ridgecrest earthquakes may have brought the central Garlock Fault closer to failure.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL086020","usgsCitation":"Lozos, J.C., and Harris, R.A., 2020, Dynamic rupture simulations of the M6.4 and M7.1 July 2019 Ridgecrest, California earthquakes: Geophysical Research Letters, v. 47, no. 7, e2019GL086020, 9 p., https://doi.org/10.1029/2019GL086020.","productDescription":"e2019GL086020, 9 p.","ipdsId":"IP-112946","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":457415,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gl086020","text":"Publisher Index Page"},{"id":375246,"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              -118.95996093749999,\n              34.37064492478658\n            ],\n            [\n              -115.34545898437499,\n              34.37064492478658\n            ],\n            [\n              -115.34545898437499,\n              36.84446074079564\n            ],\n            [\n              -118.95996093749999,\n              36.84446074079564\n            ],\n            [\n              -118.95996093749999,\n              34.37064492478658\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-04-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Lozos, Julian C.","contributorId":146525,"corporation":false,"usgs":false,"family":"Lozos","given":"Julian","email":"","middleInitial":"C.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":790058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Ruth A. 0000-0002-9247-0768 harris@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-0768","contributorId":786,"corporation":false,"usgs":true,"family":"Harris","given":"Ruth","email":"harris@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":790059,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70209341,"text":"70209341 - 2020 - A comparison of groundwater sampling technologies, including passive diffusion sampling, for radionuclide contamination","interactions":[],"lastModifiedDate":"2020-05-04T13:43:06.273109","indexId":"70209341","displayToPublicDate":"2020-03-12T07:54:42","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A comparison of groundwater sampling technologies, including passive diffusion sampling, for radionuclide contamination","docAbstract":"<p>Using traditional high-flow purge methods for long-term water quality monitoring of deep groundwater wells can be expensive, affect contaminant migration, and produce excessive volumes of discharge water that can be difficult to manage. The use of low-flow pumping methods and depth discrete bailers (DDBs) can reduce the cost of sampling deep groundwater wells. In general, using different pumping methods to obtain reproducible and representative groundwater can be challenging. Passive diffusion samplers (PDSs) have successfully been used in long-term monitoring for volatile organic compounds, major ions, and trace-elements, but application has been limited for stable and radioactive isotopes. Beginning in 2018, the United States Geological Survey (USGS) conducted three sampling events to test the ability of PDSs and DDBs to obtain reproducible and representative groundwater samples. The sampled well is completed in a regional, permeable carbonate aquifer and is one in a set of wells that have historically been used for tritium tracer testing. All samples were obtained at 180 m (590 ft) below land surface (bls) in a 13.97 cm (5.5 inch) uncased well that has a total depth of 202 m (662 ft) bls. The first sampling event deployed a regenerated cellulose dialysis membrane (RCDM) PDS for 14 days with deionized water as the blank. The second sampling event deployed a RCDM for 27 days also with deionized water as the blank. The third sampling event deployed a Dual Membrane (DM) PDS for 65 days using a blank of tritium-dead carbonate water. The DM PDS was used to assess the effect of longer-term deployment on tritium concentrations and address whether or not the PDSs reached equilibrium with ambient groundwater. The day after each of the three passive samplers were retrieved a DDB was used to obtain discrete non-integrated groundwater samples. For each DDB sampling day, the bailer was lowered into the well 10 consecutive times to determine if the water chemistry changed from the first to the last bailed sample. Quality assurance samples including blanks and duplicates were obtained during all three sampling events. All blank waters had tritium concentrations less than 21±33 pCi/L. Major ion (e.g. calcium, chloride, sodium, and sulfate) results were compared between all samples obtained with RCDM and DDB. Major ion concentrations showed a coefficient of variation of less than 6% between all RCDM and DDB samples; however, the coefficient of variation between the different deployment times and the two different methods for trace-element concentrations was much larger, particularly for manganese (82%), lead (41%), and zinc (33%). Stable isotope values were compared between the RCDM and DDB samples. The DDB sample results all fell within analytical uncertainty and were considered representative of the formation groundwater. The stable isotope values from the RCDM samples indicated that a longer deployment time was necessary to gain equilibrium and to obtain representative groundwater samples. Tritium results from groundwater samples obtained from the RCDM, DM, and DDB indicate that groundwaters obtained with PDSs produced tritium concentrations 2 to 3 times higher (between 1,426 and 3,060±87 pCi/L) than groundwaters obtained with a DDB (479 to 1,219±51 pCi/L). The longer the passive diffusion samplers were deployed, the higher the tritium concentration, suggesting that equilibrium with tritium was not reached within a 27-day deployment. DDB samples showed tritium results declining from the first to the last bailed sample for all three sampling events. This research suggests that tritium results from groundwater samples obtained from PDSs are more reproducible than samples obtained from DDBs. Also, PDSs likely do not accumulate isotopes of water but rather equilibrate with the ambient groundwater. On the other hand, both PDSs and DDBs were able to provide representative groundwater samples for major ions and have the potential to produce.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Waste Management Symposium proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Waste Management Symposia","collaboration":"Department of Energy","usgsCitation":"Frus, R.J., and Imbrigiotta, T., 2020, A comparison of groundwater sampling technologies, including passive diffusion sampling, for radionuclide contamination, <i>in</i> Waste Management Symposium proceedings, p. 15-15.","productDescription":"1 p.","startPage":"15","endPage":"15","ipdsId":"IP-113326","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":374440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":373709,"type":{"id":15,"text":"Index Page"},"url":"https://www.wmsym.org/technical-program/proceedings/"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Frus, Rebecca J. 0000-0002-2435-7202","orcid":"https://orcid.org/0000-0002-2435-7202","contributorId":206261,"corporation":false,"usgs":true,"family":"Frus","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Imbrigiotta, Thomas 0000-0003-1716-4768","orcid":"https://orcid.org/0000-0003-1716-4768","contributorId":216749,"corporation":false,"usgs":true,"family":"Imbrigiotta","given":"Thomas","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":786213,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70217317,"text":"70217317 - 2020 - Intrinsic prey preference and selection of the giant gartersnake: A threatened predator in a nonnative prey-dominated community","interactions":[],"lastModifiedDate":"2021-01-18T13:19:13.705723","indexId":"70217317","displayToPublicDate":"2020-03-12T07:17:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Intrinsic prey preference and selection of the giant gartersnake: A threatened predator in a nonnative prey-dominated community","docAbstract":"<div class=\"article-section-wrapper js-article-section js-content-section  \"><p>The introduction of exotic species into an environment can introduce great change in the trophic dynamics of native species. This is of even greater concern if the native species is of conservation concern. The giant gartersnake,<span>&nbsp;</span><i>Thamnophis gigas</i>, an endemic predator of the Central Valley of California and a species of conservation concern at the state and federal levels, has declined as a result of conversion of its once vast wetland habitat to agriculture. Another anthropogenic factor contributing to this snake's changing ecology is the introduction of nonnative prey into the species' habitats. These introductions have resulted in a prey community that is almost completely composed of exotic species and have potential for considerable effects. In order to assess prey preference and selection we performed three sets of behavioral trials on naïve neonates. We examined 1) neonate prey preference in response to olfactory cues of prepared prey extracts, 2) neonate consumption of different live prey items presented simultaneously; and 3) terrestrial feeding behavior and/or latency to successful attack. Results from the olfactory study suggest that native Sierran treefrogs,<span>&nbsp;</span><i>Pseudacris sierra,</i><span>&nbsp;</span>are preferred by neonates. Results from consumption trials suggest that neonates are more likely to select frog species than fish species. This is the first study that we are aware of that examines prey selection of this threatened species and serves to inform its conservation and management.</p></div>","language":"English","publisher":"Allen Press","doi":"10.3996/062019-JFWM-051","usgsCitation":"Ersan, J., Halstead, B., Wildy, E.L., Casazza, M.L., and Wylie, G., 2020, Intrinsic prey preference and selection of the giant gartersnake: A threatened predator in a nonnative prey-dominated community: Journal of Fish and Wildlife Management, v. 11, no. 1, p. 164-173, https://doi.org/10.3996/062019-JFWM-051.","productDescription":"10 p.","startPage":"164","endPage":"173","ipdsId":"IP-080493","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":457418,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/062019-jfwm-051","text":"Publisher Index Page"},{"id":437059,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q1KLN4","text":"USGS data release","linkHelpText":"Giant Gartersnake (Thamnophis gigas) Prey Preference (2014)"},{"id":382249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-03-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Ersan, Julia 0000-0002-1549-7561","orcid":"https://orcid.org/0000-0002-1549-7561","contributorId":218034,"corporation":false,"usgs":true,"family":"Ersan","given":"Julia","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wildy, Erica L","contributorId":247779,"corporation":false,"usgs":false,"family":"Wildy","given":"Erica","email":"","middleInitial":"L","affiliations":[{"id":49651,"text":"California State University, Department of Biological Sciences, East Bay, 25800 Carlos Bee Blvd, Hayward, CA 94542","active":true,"usgs":false}],"preferred":false,"id":808335,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808336,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wylie, Glenn D. 0000-0002-7061-6658","orcid":"https://orcid.org/0000-0002-7061-6658","contributorId":207594,"corporation":false,"usgs":false,"family":"Wylie","given":"Glenn D.","affiliations":[],"preferred":false,"id":808337,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70209337,"text":"70209337 - 2020 - Louisiana Adaptive Management Status and Improvement Report: Vision and Recommendations","interactions":[],"lastModifiedDate":"2020-04-06T20:46:39.417241","indexId":"70209337","displayToPublicDate":"2020-03-12T06:13:33","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Louisiana Adaptive Management Status and Improvement Report: Vision and Recommendations","docAbstract":"As part of the process to increase implementation of adaptive management for ecosystem-based coastal restoration within Louisiana, we aim for this report to be broadly applicable across planning processes as well as funding and implementing entities. It compiles technical knowledge and guidance summarized as key findings through the text which lead to eight priority recommendations to improve application of adaptive management in Louisiana. This report identifies critical linkage points and opportunities for knowledge and data transfers within, and among, agencies in Louisiana. The primary focus is on CPRA and others affiliated with the LA TIG.\nThis report presents a consensus based common vision for adaptive management of coastal restoration implementation in Louisiana. As CPRA is the primary agency responsible for coordinating and facilitating coastal restoration projects within the state of Louisiana, the primary source of information and experience was collated from personnel and processes carried out at CPRA. To capture needs and mechanisms ,across agencies, extensive input was also received from the LA TIG, representing the other state and federal Trustees.","language":"English","publisher":"Deepwater Horizon Natural Resource Damages Trustees ","doi":"","collaboration":"","usgsCitation":"Boshart, B., Crutcher, M., Freeman, A., Haywood, E., Khalil, S.M., Langlois, S., Lee, D., Lindquist, D., McGinnis, T., Pahl, J., Parsons-Richards, C., Plitsch, E., Raynie, R., Routon, R., Sharp, L.A., Troutman, J., Villarrubia, C., Folse, T., Graugnard, A., Hawes, A., Joffrion, R., Leblanc, W., Lezina, B., Pahl, J., White, J., Conzelmann, C., Hijuelos, A., Piazza, S., Spear, K.A., Steyer, G.D., Regalado, N., Tirpak, J.M., Schupp, C., Carle, M., Daly, J., Eckhardt, N., Fellas, C., Fougeres, E.M., Heverly, S., Horstman, S., Kroll, J., Landry, M., Schroeder, B.A., Weissberger, E., Wissman, S., Grayson, T., Taylor, P., Wiegand, D., Defley, M., Kolic, P., Bienn, H., Carruthers, T., Dausman, A., Grace, A., Hemmerling, S., Jerabek, A., White, E., Clark, R., McHugh, C., Moss, L., Ramatchandirane, C., and Wold, A., 2020, Louisiana Adaptive Management Status and Improvement Report: Vision and Recommendations, 205 p., https://doi.org/.","productDescription":"205 p.","startPage":"","ipdsId":"IP-114100","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":373758,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":373702,"type":{"id":15,"text":"Index Page"},"url":"https://cims.coastal.louisiana.gov/RecordDetail.aspx?Root=0&sid=23922"}],"country":"United 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,{"id":70228345,"text":"70228345 - 2020 - Ecological prediction at macroscales using big data: Does sampling design matter?","interactions":[],"lastModifiedDate":"2022-02-09T23:31:04.189125","indexId":"70228345","displayToPublicDate":"2020-03-11T17:23:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Ecological prediction at macroscales using big data: Does sampling design matter?","docAbstract":"Although ecosystems respond to global change at regional to continental scales (i.e., macroscales), model predictions of ecosystem responses often rely on data from targeted monitoring of a small proportion of sampled ecosystems within a particular geographic area. In this study, we examined how the sampling strategy used to collect data for such models influences predictive performance. We subsampled a large and spatially-extensive dataset to investigate how macroscale sampling strategy affects prediction of ecosystem characteristics in 6,784 lakes across a 1.8 million km2 area. We estimated model predictive performance for different subsets of the dataset to mimic three common sampling strategies for collecting observations of ecosystem characteristics: random sampling design, stratified random sampling design, and targeted sampling. We found that sampling strategy influenced model predictive performance such that (1) stratified random sampling designs did not improve predictive performance compared to simple random sampling designs and (2) although one of the scenarios that mimicked targeted (non-random) sampling had the poorest performing predictive models, the other targeted sampling scenarios resulted in models with similar predictive performance to that of the random sampling scenarios. Our results suggest that although potential biases in datasets from some forms of targeted sampling may limit predictive performance, compiling existing spatially-extensive datasets can result in models with good predictive performance that may inform a wide range of science questions and policy goals related to global change.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2123","usgsCitation":"Patricia A. Soranno, Cheruvelil, K.S., Boyang Liu, Wang, Q., Pang-Ning Tan, Jiayu Zhou, King, K.B., Ian M. McCullough, Joseph Stachelek, Bartley, M., Filstrup, C.T., Hanks, E., Lapierre, J., Lottig, N.R., Schliep, E., Wagner, T., and Webster, K.E., 2020, Ecological prediction at macroscales using big data: Does sampling design matter?: Ecological Applications, v. 30, no. 6, e02123, 13 p., https://doi.org/10.1002/eap.2123.","productDescription":"e02123, 13 p.","ipdsId":"IP-110739","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Patricia A. Soranno","contributorId":275249,"corporation":false,"usgs":false,"family":"Patricia A. Soranno","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":833879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cheruvelil, Kendra Spence","contributorId":275250,"corporation":false,"usgs":false,"family":"Cheruvelil","given":"Kendra","email":"","middleInitial":"Spence","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":833880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyang Liu","contributorId":275251,"corporation":false,"usgs":false,"family":"Boyang Liu","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":833881,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Qi","contributorId":275252,"corporation":false,"usgs":false,"family":"Wang","given":"Qi","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":833882,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pang-Ning Tan","contributorId":275253,"corporation":false,"usgs":false,"family":"Pang-Ning Tan","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":833883,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jiayu Zhou","contributorId":275254,"corporation":false,"usgs":false,"family":"Jiayu Zhou","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":833884,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"King, Katelyn B.S.","contributorId":275255,"corporation":false,"usgs":false,"family":"King","given":"Katelyn","email":"","middleInitial":"B.S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":833885,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ian M. McCullough","contributorId":275256,"corporation":false,"usgs":false,"family":"Ian M. McCullough","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":833886,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Joseph Stachelek","contributorId":275257,"corporation":false,"usgs":false,"family":"Joseph Stachelek","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":833887,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bartley, Meridith","contributorId":275258,"corporation":false,"usgs":false,"family":"Bartley","given":"Meridith","email":"","affiliations":[{"id":56753,"text":"PennState University","active":true,"usgs":false}],"preferred":false,"id":833888,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Filstrup, Christopher T.","contributorId":169032,"corporation":false,"usgs":false,"family":"Filstrup","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":834081,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hanks, Ephraim M.","contributorId":270432,"corporation":false,"usgs":false,"family":"Hanks","given":"Ephraim M.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":834082,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lapierre, Jean-Francois","contributorId":172182,"corporation":false,"usgs":false,"family":"Lapierre","given":"Jean-Francois","email":"","affiliations":[],"preferred":false,"id":834083,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lottig, Noah R.","contributorId":172031,"corporation":false,"usgs":false,"family":"Lottig","given":"Noah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":834084,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Schliep, Erin M.","contributorId":270915,"corporation":false,"usgs":false,"family":"Schliep","given":"Erin M.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":834085,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833878,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Webster, Katherine E.","contributorId":147903,"corporation":false,"usgs":false,"family":"Webster","given":"Katherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":834086,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70228393,"text":"70228393 - 2020 - An interactive decision-making tool for evaluating biological and statistical standards of migrating fish survival past hydroelectric dams","interactions":[],"lastModifiedDate":"2022-02-10T17:06:48.440966","indexId":"70228393","displayToPublicDate":"2020-03-11T11:04:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"An interactive decision-making tool for evaluating biological and statistical standards of migrating fish survival past hydroelectric dams","docAbstract":"<p><span>Quantifying the downstream survival of migrating fish past dams is critical for conservation efforts. Regulators require assessments of survival as a condition of operation. Failure to meet an established survival standard may result in required operational or costly structural changes at a facility. Establishing the survival standard, as well as the rules of assessment, is a point of contention between regulators and operators. Management goals are based on biological criteria, but there are inherent statistical and probabilistic trade-offs when choosing a standard value and the method for assessment. We make a distinction between a “biological” goal (the conservation goal) and a “statistical” standard (a function of the biological goal, sample size, assessment method, and years of consecutive evaluation). An effective statistical standard maximizes true positives (passing the standard when the biological goal is being met) and true negatives (failing the standard when the goal is not being met), while minimizing false negatives and false positives. We explored the effects of sample size, true survival, and assessment methods on the probability of passing different statistical standards by simulating survival studies (simulating mark-recapture experiments). We observed a strong influence of assessment methods on the probability of making the right decision (true positive or true negative), especially when sample size, and recapture probability was low. As a support tool, we developed an interactive user interface to explore specific scenarios, and to aid communication among decision-makers.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3616","usgsCitation":"Molina-Moctezuma, A., and Zydlewski, J.D., 2020, An interactive decision-making tool for evaluating biological and statistical standards of migrating fish survival past hydroelectric dams: River Research and Applications, v. 36, no. 7, p. 1024-1032, https://doi.org/10.1002/rra.3616.","productDescription":"9 p.","startPage":"1024","endPage":"1032","ipdsId":"IP-111248","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395782,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-03-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Molina-Moctezuma, Alejandro","contributorId":275649,"corporation":false,"usgs":false,"family":"Molina-Moctezuma","given":"Alejandro","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":834191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":834190,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70236519,"text":"70236519 - 2020 - Antibiotic resistance in marine microbial communities proximal to a Florida sewage outfall system","interactions":[],"lastModifiedDate":"2022-09-09T12:20:54.806699","indexId":"70236519","displayToPublicDate":"2020-03-11T07:18:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12582,"text":"Antibiotics","active":true,"publicationSubtype":{"id":10}},"title":"Antibiotic resistance in marine microbial communities proximal to a Florida sewage outfall system","docAbstract":"<p>Water samples were collected at several wastewater treatment plants in southeast Florida, and water and sediment samples were collected along and around one outfall pipe, as well as along several transects extending both north and south of the respective outfall outlet. Two sets of samples were collected to address potential seasonal differences, including 38 in the wet season (June 2018) and 42 in the dry season (March 2019). Samples were screened for the presence/absence of 15 select antibiotic resistance gene targets using the polymerase chain reaction. A contrast between seasons was found, with a higher frequency of detections occurring in the wet season and fewer during the dry season. These data illustrate an anthropogenic influence on offshore microbial genetics and seasonal flux regarding associated health risks to recreational users and the regional ecosystem.&nbsp;<br></p>","language":"English","publisher":"MDPI","doi":"10.3390/antibiotics9030118","usgsCitation":"Griffin, D.W., Banks, K., Gregg, K., Shedler, S., and Walker, B., 2020, Antibiotic resistance in marine microbial communities proximal to a Florida sewage outfall system: Antibiotics, v. 9, no. 3, 118, 8 p., https://doi.org/10.3390/antibiotics9030118.","productDescription":"118, 8 p.","ipdsId":"IP-116104","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":457424,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/antibiotics9030118","text":"Publisher Index Page"},{"id":437060,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98KQWDN","text":"USGS data release","linkHelpText":"Southeast Florida and Florida Keys: Antibiotic Resistance in Association with Ocean Outfalls and the Antibiotic Treatment of Diseased Corals"},{"id":406443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.74951171875,\n              25.34402602913433\n            ],\n            [\n              -79.9365234375,\n              25.34402602913433\n            ],\n            [\n              -79.9365234375,\n              27.117812842321225\n            ],\n            [\n              -80.74951171875,\n              27.117812842321225\n            ],\n            [\n              -80.74951171875,\n              25.34402602913433\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-03-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":851295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banks, Kenneth","contributorId":240580,"corporation":false,"usgs":false,"family":"Banks","given":"Kenneth","email":"","affiliations":[{"id":48095,"text":"Broward County, Environmental Protection and Growth Management Department","active":true,"usgs":false}],"preferred":false,"id":851296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gregg, Kurtis","contributorId":240581,"corporation":false,"usgs":false,"family":"Gregg","given":"Kurtis","email":"","affiliations":[{"id":48096,"text":"ERT, Inc, NOAA Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":851297,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shedler, Sarah","contributorId":218584,"corporation":false,"usgs":false,"family":"Shedler","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":851298,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walker, Brian","contributorId":240583,"corporation":false,"usgs":false,"family":"Walker","given":"Brian","affiliations":[{"id":48098,"text":"Halmos college of Natural Sciences and Oceanography, Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":851299,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70243066,"text":"70243066 - 2020 - Critical land change information enhances the understanding of carbon balance in the United States","interactions":[],"lastModifiedDate":"2023-04-28T11:51:57.05294","indexId":"70243066","displayToPublicDate":"2020-03-11T06:48:15","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Critical land change information enhances the understanding of carbon balance in the United States","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Large-scale terrestrial carbon (C) estimating studies using methods such as atmospheric inversion, biogeochemical modeling, and field inventories have produced different results. The goal of this study was to integrate fine-scale processes including land use and land cover change into a large-scale ecosystem framework. We analyzed the terrestrial C budget of the conterminous United States from 1971 to 2015 at 1-km resolution using an enhanced dynamic global vegetation model and comprehensive land cover change data. Effects of atmospheric CO<sub>2</sub><span>&nbsp;</span>fertilization, nitrogen deposition, climate, wildland fire, harvest, and land use/land cover change (LUCC) were considered. We estimate annual C losses from cropland harvest, forest clearcut and thinning, fire, and LUCC were 436.8, 117.9, 10.5, and 10.4 TgC/year, respectively. C stored in ecosystems increased from 119,494 to 127,157 TgC between 1971 and 2015, indicating a mean annual net C sink of 170.3 TgC/year. Although ecosystem net primary production increased by approximately 12.3 TgC/year, most of it was offset by increased C loss from harvest and natural disturbance and increased ecosystem respiration related to forest aging. As a result, the strength of the overall ecosystem C sink did not increase over time. Our modeled results indicate the conterminous US C sink was about 30% smaller than previous modeling studies, but converged more closely with inventory data.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.15079","usgsCitation":"Liu, J., Sleeter, B.M., Zhu, Z., Loveland, T., Sohl, T.L., Howard, S.M., Key, C.H., Hawbaker, T., Liu, S., Reed, B.C., Cochrane, M.A., Heath, L.S., Jiang, H., Price, D.T., Chen, J.M., Zhou, D., Bliss, N.B., Wilson, T., Sherba, J.T., Zhu, Q., Luo, Y., and Paulter, B., 2020, Critical land change information enhances the understanding of carbon balance in the United States: Global Change Biology, v. 26, no. 27, p. 3920-3929, https://doi.org/10.1111/gcb.15079.","productDescription":"10 p.","startPage":"3920","endPage":"3929","ipdsId":"IP-091020","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science 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,{"id":70236798,"text":"70236798 - 2020 - Response study of the tallest California building inferred from the Mw7.1 Ridgecrest, California earthquake of 5 July 2019 and ambient motions","interactions":[],"lastModifiedDate":"2022-09-19T11:34:07.134497","indexId":"70236798","displayToPublicDate":"2020-03-11T06:30:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Response study of the tallest California building inferred from the Mw7.1 Ridgecrest, California earthquake of 5 July 2019 and ambient motions","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>The newly constructed tallest building in California, the 73-story Wilshire Grand in Los Angeles, California, is designed in conformance with performance-based design procedures. The building is designed with concrete core–shear walls, three outriggers with buckling restrained braces (BRBs) located along the height, and two three-story truss-belt structural systems. The building is equipped with a 36-channel accelerometric seismic monitoring array that recorded the recent Mw7.1 Ridgecrest earthquake of 5 July 2019, as well as the Mw6.4 Ridgecrest earthquake of 4 July 2019. In this article, only the Mw7.1 event of 5 July 2019 is studied because of a larger response of the subject building during that earthquake. The earthquake records of 5 July 2019 are specifically studied to determine its dynamic characteristics and building-specific behavior. The structure exhibits torsional behavior most likely due to abrupt asymmetrical changes in the thickness and size in-plan of the core–shear walls. The translational and torsional modes during the earthquake are not closely coupled, which does not lead to a beating effect even though there is an appearance of it in the records. Available ambient records are used only to identify modal frequencies of the building and compare them with those from the Mw7.1 event of 5 July 2019. Due to the relatively low amplitude of shaking during the earthquake, the drift ratios are too small to cause any damage. It is expected that during stronger shaking levels likely to be caused by future events, these characteristics may change and the effect of BRBs can be better assessed.</div></div></div>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1177/8755293020906836","usgsCitation":"Celebi, M., Ghahari, S., Haddadi, H., and Taciroglu, E., 2020, Response study of the tallest California building inferred from the Mw7.1 Ridgecrest, California earthquake of 5 July 2019 and ambient motions: Earthquake Spectra, v. 36, no. 6, p. 1096-1118, https://doi.org/10.1177/8755293020906836.","productDescription":"22 p.","startPage":"1096","endPage":"1118","ipdsId":"IP-112512","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":406940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ridgecrest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.3282470703125,\n              35.03449433167976\n            ],\n            [\n              -116.8341064453125,\n              35.03449433167976\n            ],\n            [\n              -116.8341064453125,\n              36.28413532741724\n            ],\n            [\n              -118.3282470703125,\n              36.28413532741724\n            ],\n            [\n              -118.3282470703125,\n              35.03449433167976\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-03-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":852198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ghahari, S. Farid","contributorId":272212,"corporation":false,"usgs":false,"family":"Ghahari","given":"S. Farid","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":852199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haddadi, Hamid","contributorId":296690,"corporation":false,"usgs":false,"family":"Haddadi","given":"Hamid","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":852200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taciroglu, Ertugrul","contributorId":176616,"corporation":false,"usgs":false,"family":"Taciroglu","given":"Ertugrul","email":"","affiliations":[],"preferred":false,"id":852201,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70217545,"text":"70217545 - 2020 - Sediment sources and transport by the Kahiltna Glacier and other catchments along the south side of the Alaska Range, Alaska","interactions":[],"lastModifiedDate":"2023-11-09T14:42:45.15588","indexId":"70217545","displayToPublicDate":"2020-03-10T15:51:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Sediment sources and transport by the Kahiltna Glacier and other catchments along the south side of the Alaska Range, Alaska","docAbstract":"<p><span>Erosion related to glacial activity produces enormous amounts of sediment. However, sediment mobilization in glacial systems is extremely complex. Sediment is derived from headwalls, slopes along the margins of glaciers, and basal erosion; however, the rates and relative contributions of each are unknown. To test and quantify conceptual models for sediment generation and transport in a simple valley glacier system, we collected samples for&nbsp;</span><sup>10</sup><span>Be analysis from the Kahiltna Glacier, which flows off Denali, the tallest mountain in North America. We collected angular quartz clasts on bedrock ledges from a high mountainside above the equilibrium line altitude (ELA), amalgamated clast samples from medial moraines, and sand samples from the river below the glacier. We also collected sand from nine other rivers along the south flank of the Alaska Range. In the upper catchment of the Kahiltna drainage system, toppling, rockfall, and slab collapse are significant erosional processes. Erosion rates of hundreds of millimeters per thousand years were calculated from&nbsp;</span><sup>10</sup><span>Be concentrations. The&nbsp;</span><sup>10</sup><span>Be concentrations in amalgamated samples from medial moraines showed concentrations much lower than those measured from the high mountainside, a result of the incorporation of thick, and effectively unexposed, blocks into the moraine, as well as the incorporation of material from lower-elevation nearby slopes above the moraines. The&nbsp;</span><sup>10</sup><span>Be sediment samples from downstream of the Kahiltna Glacier terminus showed decreasing concentrations with increasing distance from the moraine, indicating the incorporation of material that was less exposed to cosmic rays, most likely from the glacier base as well as from slopes downstream of the glacier. Taken together,&nbsp;</span><sup>10</sup><span>Be concentrations in various samples from the Kahiltna drainage system indicated erosion rates of hundreds of millimeters per thousand years, which is typical of tectonically active terrains. We also measured&nbsp;</span><sup>10</sup><span>Be concentrations from river sediment samples collected from across the south flank of the Alaska Range. Calculation of basinwide weighted erosion rates that incorporated hypsometric curves produced unrealistically high erosion rates, which indicates that the major source of sediment was not exposed to cosmic rays and was primarily derived from the base of glaciers. Moreover, the apparently high erosion rates suggest that parts of each drainage system are not in erosional steady state with respect to cosmogenic isotope accumulation.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02190.1","usgsCitation":"Matmon, A., and Haeussler, P., 2020, Sediment sources and transport by the Kahiltna Glacier and other catchments along the south side of the Alaska Range, Alaska: Geosphere, v. 16, no. 3, p. 787-805, https://doi.org/10.1130/GES02190.1.","productDescription":"19 p.","startPage":"787","endPage":"805","ipdsId":"IP-113858","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":457429,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02190.1","text":"Publisher Index Page"},{"id":382463,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaska Range, Kahiltna Glacier","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -154,\n              64\n            ],\n            [\n              -154,\n              61\n            ],\n            [\n              -146,\n              61\n            ],\n            [\n              -146,\n              64\n            ],\n            [\n              -154,\n              64\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-03-10","publicationStatus":"PW","contributors":{"editors":[{"text":"Team, ASTER","contributorId":248231,"corporation":false,"usgs":false,"family":"Team","given":"ASTER","email":"","affiliations":[{"id":49834,"text":"CNRS-Aix-Marseille University, Aix en Provence, France","active":true,"usgs":false}],"preferred":false,"id":808640,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Matmon, Ari","contributorId":196405,"corporation":false,"usgs":false,"family":"Matmon","given":"Ari","email":"","affiliations":[],"preferred":false,"id":808638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":808639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70209237,"text":"70209237 - 2020 - Uptake and toxicity of clothianidin to monarch butterflies from milkweed consumption","interactions":[],"lastModifiedDate":"2020-03-26T06:40:13","indexId":"70209237","displayToPublicDate":"2020-03-10T14:14:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Uptake and toxicity of clothianidin to monarch butterflies from milkweed consumption","docAbstract":"Recent concern for the adverse effects from neonicotinoid insecticides has centered on risk for insect pollinators in general and bees specifically. However, natural resource managers are also concerned about the risk of neonicotinoids to conservation efforts for the monarch butterfly (Danaus plexippus) and need additional data to help estimate risk for wild monarch butterflies exposed to those insecticides. In the present study, monarch butterfly larvae were exposed in the laboratory to clothianidin via contaminated milkweed plants from hatch until pupation, and the effects upon larval survival, larval growth, pupation success, and adult size were measured. Soils dosed with a granular insecticide product led to mean clothianidin concentrations of 10.8–2,193 ng/g in milkweed leaves and 5.8–58.0 ng/g in larvae. Treatment of soils also led to clothianidin concentrations of 2.6–5.1 ng/g in adult butterflies indicating potential for transfer of systemic insecticides from the soil through plants and larvae to adult butterflies. Estimated LC50s for total mortality (combined mortality of larvae and pupae) and EC50 for larval growth were variable but higher than the majority of concentrations reported in the literature for clothianidin contamination of leaves.","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.8669","usgsCitation":"Bargar, T.A., Hladik, M., and Daniels, J.C., 2020, Uptake and toxicity of clothianidin to monarch butterflies from milkweed consumption: PeerJ, v. 8, e8669, https://doi.org/10.7717/peerj.8669.","productDescription":"e8669","ipdsId":"IP-108502","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":457431,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.8669","text":"Publisher Index Page"},{"id":373526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2020-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Bargar, Timothy A. 0000-0001-8588-3436 tbargar@usgs.gov","orcid":"https://orcid.org/0000-0001-8588-3436","contributorId":2450,"corporation":false,"usgs":true,"family":"Bargar","given":"Timothy","email":"tbargar@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":785504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":201293,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daniels, Jaret C.","contributorId":223585,"corporation":false,"usgs":false,"family":"Daniels","given":"Jaret","email":"","middleInitial":"C.","affiliations":[{"id":40743,"text":"Florida Museum of Natural History and University of Florida","active":true,"usgs":false}],"preferred":false,"id":785506,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70209193,"text":"70209193 - 2020 - Climate change effects on biodiversity, ecosystems, ecosystem services, and natural resource management in the United States","interactions":[],"lastModifiedDate":"2020-12-08T18:12:20.831907","indexId":"70209193","displayToPublicDate":"2020-03-10T11:49:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Climate change effects on biodiversity, ecosystems, ecosystem services, and natural resource management in the United States","docAbstract":"Climate change is a pervasive and growing global threat to biodiversity and ecosystems. Here, we present the most up-to-date assessment of climate change impacts on biodiversity, ecosystems, and ecosystem services in the U.S. and implications for natural resource management. We draw from the 4th National Climate Assessment to summarize observed and projected changes to ecosystems and biodiversity, explore linkages to important ecosystem services, and discuss associated challenges and opportunities for natural resource management. We find that species are responding to climate change through changes in morphology and behavior, phenology, and geographic range shifts, and these changes are mediated by plastic and evolutionary responses. Responses by species and populations, combined with direct effects of climate change on ecosystems (including more extreme events), are resulting in widespread changes in productivity, species interactions, vulnerability to biological invasions, and other emergent properties. Collectively, these impacts alter the benefits and services that natural ecosystems can provide to society. Although not all impacts are negative, even positive changes can require costly societal adjustments. Natural resource managers need proactive, flexible adaptation strategies that consider historical and future outlooks to minimize costs over the long term. Many organizations are beginning to explore these approaches, but implementation is not yet prevalent or systematic across the nation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.137782","usgsCitation":"Weiskopf, S.R., Rubenstein, M.A., Crozier, L., Gaichas, S., Griffis, R., Halofsky, J.E., Hyde, K.J., Morelli, T.L., Morisette, J.T., Munoz, R.C., Pershing, A.J., Peterson, D.L., Poudel, R., Staudinger, M., Sutton-Grier, A.E., Thompson, L., Vose, J., Weltzin, J., and Whyte, K.P., 2020, Climate change effects on biodiversity, ecosystems, ecosystem services, and natural resource management in the United States: Science of the Total Environment, v. 733, 137782, 18 p., https://doi.org/10.1016/j.scitotenv.2020.137782.","productDescription":"137782, 18 p.","ipdsId":"IP-111339","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science 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,{"id":70210283,"text":"70210283 - 2020 - Gulls as sources of environmental contamination by colistin-resistant bacteria","interactions":[],"lastModifiedDate":"2020-05-29T15:38:31.307499","indexId":"70210283","displayToPublicDate":"2020-03-10T10:33:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Gulls as sources of environmental contamination by colistin-resistant bacteria","docAbstract":"In 2015, the mcr-1 gene was discovered in Escherichia coli in domestic swine in China that conferred resistance to colistin, an antibiotic of last resort used in treating multi-drug resistant bacterial infections in humans. Since then, mcr-1 was found in other human and animal populations, including wild gulls. Because gulls could disseminate the mcr-1 gene, we conducted an experiment to assess whether gulls are readily colonized with mcr-1 positive E. coli, their shedding patterns, transmission among conspecifics, and environmental deposition. Shedding of mcr-1 E. coli by small gull flocks followed a lognormal curve and gulls shed one strain >101 log10 CFU/g in their feces for 16.4 days, which persisted in the environment for 29.3 days. Because gulls are mobile and can shed antimicrobial-resistant bacteria for extended periods, gulls may facilitate transmission of mcr-1 positive E. coli to humans and livestock through fecal contamination of water, public areas and agricultural operations.","language":"English","publisher":"Nature","doi":"10.1038/s41598-020-61318-2","usgsCitation":"Franklin, A.B., Ramey, A.M., Bentler, K.T., Barret, N.L., McCurdy, L.M., Ahlstrom, C., Bonnedahl, J., Shriner, S.A., and Chandler, J.C., 2020, Gulls as sources of environmental contamination by colistin-resistant bacteria: Scientific Reports, v. 10, 4408, 10 p., https://doi.org/10.1038/s41598-020-61318-2.","productDescription":"4408, 10 p.","ipdsId":"IP-111646","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":457436,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-020-61318-2","text":"Publisher Index Page"},{"id":375147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2020-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Franklin, Alan B.","contributorId":101999,"corporation":false,"usgs":false,"family":"Franklin","given":"Alan","email":"","middleInitial":"B.","affiliations":[{"id":12434,"text":"USDA, Wildlife Services, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":789942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":789943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bentler, Kevin T","contributorId":223871,"corporation":false,"usgs":false,"family":"Bentler","given":"Kevin","email":"","middleInitial":"T","affiliations":[{"id":40781,"text":"USDA/APHIS/WS, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":789944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barret, Nicole L","contributorId":224992,"corporation":false,"usgs":false,"family":"Barret","given":"Nicole","email":"","middleInitial":"L","affiliations":[{"id":41016,"text":"U.S. Department of Agriculture National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":789945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCurdy, Loredana M","contributorId":224993,"corporation":false,"usgs":false,"family":"McCurdy","given":"Loredana","email":"","middleInitial":"M","affiliations":[{"id":41016,"text":"U.S. Department of Agriculture National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":789946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ahlstrom, Christina 0000-0001-5414-8076","orcid":"https://orcid.org/0000-0001-5414-8076","contributorId":214540,"corporation":false,"usgs":true,"family":"Ahlstrom","given":"Christina","email":"","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":789947,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bonnedahl, Jonas","contributorId":181800,"corporation":false,"usgs":false,"family":"Bonnedahl","given":"Jonas","email":"","affiliations":[],"preferred":false,"id":789948,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shriner, Susan A.","contributorId":168690,"corporation":false,"usgs":false,"family":"Shriner","given":"Susan","email":"","middleInitial":"A.","affiliations":[{"id":13407,"text":"Colorado State Univ.","active":true,"usgs":false}],"preferred":false,"id":789949,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chandler, Jeffrey C","contributorId":223870,"corporation":false,"usgs":false,"family":"Chandler","given":"Jeffrey","email":"","middleInitial":"C","affiliations":[{"id":40781,"text":"USDA/APHIS/WS, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":789950,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70208809,"text":"sir20195127 - 2020 - An enhanced hydrologic stream network based on the NHDPlus medium resolution dataset","interactions":[],"lastModifiedDate":"2022-04-25T19:26:27.608939","indexId":"sir20195127","displayToPublicDate":"2020-03-10T10:15:00","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":"2019-5127","displayTitle":"An Enhanced Hydrologic Stream Network Based on the NHDPlus Medium Resolution Dataset","title":"An enhanced hydrologic stream network based on the NHDPlus medium resolution dataset","docAbstract":"<p>The National Hydrography Dataset Plus, Version 2.1 (NHDPlusV2.1) is an attribute-rich digital stream network for the conterminous United States, serving as a foundational infrastructure for reporting hydrologic information at both regional and national scales. SPAtially Referenced Regressions On Watershed attributes (SPARROW) is a process-based statistical model that relies on a digital hydrologic network like NHDPlusV2.1 to establish spatial relations between quantities of monitored contaminant loads and contaminant sources, accounting for the physical characteristics along flow paths affecting contaminant transport. The U.S. Geological Survey National Water Quality Assessment project adopted and modified the medium-resolution NHDPlusV2.1 network for use as the primary framework supporting SPARROW modeling. This report describes the enhancements made to improve the routing capabilities and the value-added attributes of NHDPlusV2.1 to support modeling and other hydrologic analyses. These enhancements include corrections to inconsistencies in network/routing information, filling in missing attribute values of associated characteristics, accounting of water use affecting flow, new variables useful for interpreting network data, revised flowline attributes such as slope and flow, and incorporation of ancillary spatial data into the network. The resulting dataset containing the enhancements to the network is named E2NHDPlusV2_US. Although the enhancements described in the report were developed for use in SPARROW modeling, the enhancements are expected to be useful for a wide variety of hydrologic studies within the United States.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195127","usgsCitation":"Brakebill, J.W., Schwarz, G.E., and Wieczorek, M.E., 2020, An enhanced hydrologic stream network based on the NHDPlus medium resolution dataset: U.S. Geological Survey Scientific Investigations Report 2019–5127, 49 p., https://doi.org/10.3133/sir20195127.","productDescription":"Report: vii, 49 p.; Data Release","numberOfPages":"62","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-098180","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":372768,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P986KZEM","text":"USGS data 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Conclusions</li><li>References Cited</li><li>Appendix 1. Description of Addition and Removal Events Spreadsheet</li><li>Appendix 2. Description of Methods Used to Update Streamflow Estimates</li><li>Appendix 3. Description of Methods Used to Update Slope Estimates</li><li>Appendix 4. Description of Attributes in E2NHDPlusV2_us</li><li>Appendix 5. Description of Selected Ancillary Geospatial Dataset Variables Assigned to the Catchments and Flowlines of NHDPlusV2.1</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-03-09","noUsgsAuthors":false,"publicationDate":"2020-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Brakebill, John W. 0000-0001-9235-6810 jwbrakeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9235-6810","contributorId":1061,"corporation":false,"usgs":true,"family":"Brakebill","given":"John","email":"jwbrakeb@usgs.gov","middleInitial":"W.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":213621,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory","email":"gschwarz@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":783476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wieczorek, Michael E. 0000-0003-0999-5457 mewieczo@usgs.gov","orcid":"https://orcid.org/0000-0003-0999-5457","contributorId":178736,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael E.","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783477,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70210922,"text":"70210922 - 2020 - Soil water availability shapes species richness in mid-latitude shrub steppe plant communities","interactions":[],"lastModifiedDate":"2020-07-03T14:18:34.759345","indexId":"70210922","displayToPublicDate":"2020-03-10T09:11:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"title":"Soil water availability shapes species richness in mid-latitude shrub steppe plant communities","docAbstract":"<h3 id=\"jvs12874-sec-0001-title\" class=\"article-section__sub-title section1\">Questions</h3><p>Ecological communities are controlled by multiple, interacting abiotic and biotic factors that influence the distribution, abundance, and diversity of species. These processes jointly determine resource availability, resource competition, and ultimately species richness. For many terrestrial ecosystems in dryland climates, soil water availability is the most frequent limiting resource for plant species. We used field sampling coupled with process‐based soil water balance modeling to explore the relative importance of multiple macroclimatic, ecohydrological, and biotic variables on plant species and functional type richness at the landscape scale in dryland plant communities.</p><h3 id=\"jvs12874-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Dryland plant communities dominated by big sagebrush (<i>Artemisia tridentata<span>&nbsp;</span></i>) that span climatic and elevational gradients in Wyoming, USA.</p><h3 id=\"jvs12874-sec-0003-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We quantified species richness at 1,000&nbsp;m<sup>2</sup><span>&nbsp;</span>and used multiple regression to determine whether mean climatic conditions, multiple metrics of soil moisture from a soil water balance model (SOILWAT2), soil physical and chemical properties, and shrub stand structure (biotic) variables were related to species and functional type richness.</p><h3 id=\"jvs12874-sec-0004-title\" class=\"article-section__sub-title section1\">Results</h3><p>Species richness varied between 16 and 54 across sites. We found that species and functional type richness were related to both macroclimate and ecohydrology, but ecohydrology explained slightly more variation than climate. Biotic variables were always secondary to macroclimate and ecohydrology in our models. Variance partitioning revealed that large portions of variability in species (~54%), forb (~47%), and grass (~40%) richness were explained by ecohydrological variables.</p><h3 id=\"jvs12874-sec-0005-title\" class=\"article-section__sub-title section1\">Conclusions</h3><p>Our results highlight the importance of the spatial and temporal distribution of soil water for dryland plant species richness and suggest that documenting the ways in which climate, vegetation, and soil properties interact to determine soil water availability is critical for understanding biodiversity patterns in dryland plant communities. This work has relevance for other mid‐latitude, shrub‐dominated dryland plant communities where soil water availability strongly influences ecosystem structure and function.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jvs.12874","usgsCitation":"Jordan, S., Palmquist, K.A., Bradford, J., and Lauenroth, W.K., 2020, Soil water availability shapes species richness in mid-latitude shrub steppe plant communities: Journal of Vegetation Science, v. 31, no. 4, p. 646-657, https://doi.org/10.1111/jvs.12874.","productDescription":"12 p.","startPage":"646","endPage":"657","ipdsId":"IP-101810","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":376122,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-110.048476,40.997555],[-110.121639,40.997101],[-110.125709,40.99655],[-110.237848,40.995427],[-110.250709,40.996089],[-110.375714,40.994947],[-110.500718,40.994746],[-110.539819,40.996346],[-110.715026,40.996347],[-110.750727,40.996847],[-111.046723,40.997959],[-111.046551,41.251716],[-111.0466,41.360692],[-111.046264,41.377731],[-111.045789,41.565571],[-111.045818,41.579845],[-111.046689,42.001567],[-111.047109,42.142497],[-111.047107,42.148971],[-111.047058,42.182672],[-111.047097,42.194773],[-111.047074,42.280787],[-111.04708,42.34942],[-111.046801,42.504946],[-111.046719,42.513118],[-111.046017,42.582723],[-111.043564,42.722624],[-111.044135,42.874924],[-111.043959,42.96445],[-111.043957,42.969482],[-111.043924,42.975063],[-111.044129,43.018702],[-111.044156,43.020052],[-111.044206,43.022614],[-111.044034,43.024581],[-111.044034,43.024844],[-111.044033,43.026411],[-111.044094,43.02927],[-111.043997,43.041415],[-111.044058,43.04464],[-111.044063,43.046302],[-111.044086,43.054819],[-111.044117,43.060309],[-111.04415,43.066172],[-111.044162,43.068222],[-111.044143,43.072364],[-111.044235,43.177121],[-111.044266,43.177236],[-111.044232,43.18444],[-111.044168,43.189244],[-111.044229,43.195579],[-111.044617,43.31572],[-111.045205,43.501136],[-111.045706,43.659112],[-111.04588,43.681033],[-111.046118,43.684902],[-111.046051,43.685812],[-111.04611,43.687848],[-111.046421,43.722059],[-111.046435,43.726545],[-111.04634,43.726957],[-111.046715,43.815832],[-111.046515,43.908376],[-111.046917,43.974978],[-111.047064,43.983467],[-111.047349,43.999921],[-111.049077,44.020072],[-111.048751,44.060403],[-111.048751,44.060838],[-111.048633,44.062903],[-111.048452,44.114831],[-111.049119,44.124923],[-111.049695,44.353626],[-111.049148,44.374925],[-111.049216,44.435811],[-111.049194,44.438058],[-111.048974,44.474072],[-111.055208,44.624927],[-111.055333,44.666263],[-111.055511,44.725343],[-111.056416,44.749928],[-111.056888,44.866658],[-111.055629,44.933578],[-111.056207,44.935901],[-111.055199,45.001321],[-111.044275,45.001345],[-110.785008,45.002952],[-110.761554,44.999934],[-110.750767,44.997948],[-110.705272,44.992324],[-110.552433,44.992237],[-110.547165,44.992459],[-110.48807,44.992361],[-110.402927,44.99381],[-110.362698,45.000593],[-110.342131,44.999053],[-110.324441,44.999156],[-110.28677,44.99685],[-110.199503,44.996188],[-110.110103,45.003905],[-110.026347,45.003665],[-110.025544,45.003602],[-109.99505,45.003174],[-109.875735,45.003275],[-109.798687,45.002188],[-109.75073,45.001605],[-109.663673,45.002536],[-109.574321,45.002631],[-109.386432,45.004887],[-109.375713,45.00461],[-109.269294,45.005283],[-109.263431,45.005345],[-109.103445,45.005904],[-109.08301,44.99961],[-109.062262,44.999623],[-108.621313,45.000408],[-108.578484,45.000484],[-108.565921,45.000578],[-108.500679,44.999691],[-108.271201,45.000251],[-108.249345,44.999458],[-108.238139,45.000206],[-108.218479,45.000541],[-108.14939,45.001062],[-108.000663,45.001223],[-107.997353,45.001565],[-107.911743,45.001292],[-107.750654,45.000778],[-107.608854,45.00086],[-107.607824,45.000929],[-107.49205,45.00148],[-107.351441,45.001407],[-107.13418,45.000109],[-107.125633,44.999388],[-107.105685,44.998734],[-107.084939,44.996599],[-107.074996,44.997004],[-107.050801,44.996424],[-106.892875,44.995947],[-106.888773,44.995885],[-106.263586,44.993788],[-106.024814,44.993688],[-105.928184,44.993647],[-105.914258,44.999986],[-105.913382,45.000941],[-105.848065,45.000396],[-105.076607,45.000347],[-105.038405,45.000345],[-105.025266,45.00029],[-105.019284,45.000329],[-105.01824,45.000437],[-104.765063,44.999183],[-104.759855,44.999066],[-104.72637,44.999518],[-104.665171,44.998618],[-104.663882,44.998869],[-104.470422,44.998453],[-104.470117,44.998453],[-104.250145,44.99822],[-104.057698,44.997431],[-104.055914,44.874986],[-104.056496,44.867034],[-104.055963,44.768236],[-104.055963,44.767962],[-104.055934,44.72372],[-104.05587,44.723422],[-104.055777,44.700466],[-104.055938,44.693881],[-104.05581,44.691343],[-104.055877,44.571016],[-104.055892,44.543341],[-104.055927,44.51773],[-104.055389,44.249983],[-104.054487,44.180381],[-104.054562,44.141081],[-104.05495,43.93809],[-104.055077,43.936535],[-104.055488,43.853477],[-104.055488,43.853476],[-104.055138,43.750421],[-104.055133,43.747105],[-104.054902,43.583852],[-104.054885,43.583512],[-104.05484,43.579368],[-104.055032,43.558603],[-104.054787,43.503328],[-104.054786,43.503072],[-104.054779,43.477815],[-104.054766,43.428914],[-104.054614,43.390949],[-104.054403,43.325914],[-104.054218,43.30437],[-104.053884,43.297047],[-104.053876,43.289801],[-104.053127,43.000585],[-104.052863,42.754569],[-104.052809,42.749966],[-104.052583,42.650062],[-104.052741,42.633982],[-104.052586,42.630917],[-104.052773,42.611766],[-104.052775,42.61159],[-104.052775,42.610813],[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 \"}}]}","volume":"31","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Jordan, Samuel E. 0000-0001-6074-3330","orcid":"https://orcid.org/0000-0001-6074-3330","contributorId":228826,"corporation":false,"usgs":false,"family":"Jordan","given":"Samuel E.","affiliations":[],"preferred":false,"id":792148,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmquist, Kyle A.","contributorId":169517,"corporation":false,"usgs":false,"family":"Palmquist","given":"Kyle","email":"","middleInitial":"A.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":792149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":792150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":792151,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215559,"text":"70215559 - 2020 - Probabilistic categorical groundwater salinity mapping from airborne electromagnetic data adjacent to California’s Lost Hills and Belridge oil fields","interactions":[],"lastModifiedDate":"2020-10-23T14:06:56.145727","indexId":"70215559","displayToPublicDate":"2020-03-10T09:01:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Probabilistic categorical groundwater salinity mapping from airborne electromagnetic data adjacent to California’s Lost Hills and Belridge oil fields","docAbstract":"<div class=\"article-section__content en main\"><p>Growing water stress has led to emerging interest in protecting fresh and brackish groundwater as a potential supplement to water supplies and raised questions about factors that could affect the future quality of fresh and brackish aquifers. Limited well infrastructure, particularly in regions where elevated salinity has led to limited historical groundwater development, hinders traditional mapping of salinity distributions through groundwater sampling. This paper presents a quantitative salinity mapping approach of the upper 300&nbsp;m using high‐resolution, regionally comprehensive resistivity models derived from Bayesian inversion of an airborne electromagnetic survey adjacent to the Lost Hills and Belridge oil fields in the southwestern San Joaquin Valley of California. Using local water quality observations as an interpretational foundation, a probabilistic approach yields maps of fresh, saline, and brackish groundwater while quantifying joint uncertainty inherited from the geophysical data and interpretational relations. Saline and fresh regions are mapped with relatively high confidence in many locations, while areas of lower confidence, particularly at depth, can be mapped as their most probable salinity category while reflecting the relative uncertainty in the interpretation. These maps identify a stratified salinity structure, where saline water commonly occurs in the surficial aquifer overlying fresher groundwater in the Tulare aquifer, separated by regional confining clay layers. Downgradient of unlined surface water diversions, recharge of imported surface water results in relatively fresh groundwater throughout the depth of investigation.</p></div>","language":"English","publisher":"Wiley","doi":"10.1029/2019WR026273","usgsCitation":"Ball, L.B., Davis, T., Minsley, B.J., Gillespie, J., and Landon, M.K., 2020, Probabilistic categorical groundwater salinity mapping from airborne electromagnetic data adjacent to California’s Lost Hills and Belridge oil fields: Water Resources Research, v. 56, no. 6, e2019WR026273, 20 p., https://doi.org/10.1029/2019WR026273.","productDescription":"e2019WR026273, 20 p.","ipdsId":"IP-111364","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":457439,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019wr026273","text":"Publisher Index Page"},{"id":437063,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90SWJAV","text":"USGS data release","linkHelpText":"Supporting groundwater salinity data used for salinity mapping adjacent to the Lost Hills and Belridge oil fields, Kern County, California"},{"id":437062,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7G44PKR","text":"USGS data release","linkHelpText":"Airborne electromagnetic and magnetic survey, southwestern San Joaquin Valley near Lost Hills, California, 2016"},{"id":379689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.564208984375,\n              35.380092992092145\n            ],\n            [\n              -118.597412109375,\n              35.380092992092145\n            ],\n            [\n              -118.597412109375,\n              35.96022296929667\n            ],\n            [\n              -119.564208984375,\n              35.96022296929667\n            ],\n            [\n              -119.564208984375,\n              35.380092992092145\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":802731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Tracy 0000-0003-0253-6661 tadavis@usgs.gov","orcid":"https://orcid.org/0000-0003-0253-6661","contributorId":176921,"corporation":false,"usgs":true,"family":"Davis","given":"Tracy","email":"tadavis@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":802733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":802734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802735,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70210027,"text":"70210027 - 2020 - Landscape dominance of introduced herpetofauna on an oceanic island","interactions":[],"lastModifiedDate":"2020-05-12T12:37:02.84014","indexId":"70210027","displayToPublicDate":"2020-03-10T07:33:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Landscape dominance of introduced herpetofauna on an oceanic island","docAbstract":"Habitat loss and fragmentation can negatively impact native wildlife and facilitate establishment\nof introduced species. On islands, introduced species are a primary cause of\nextinction and can alter community membership through predation or competition for\nresources. Consequently, elucidating the distribution of introduced and native species can\nimprove understanding of the potential synergistic effects of land use and introduced\nspecies on native island species. The island of Saipan in the Commonwealth of the\nNorthern Mariana Islands has a long history of herpetofaunal introductions. However, the\ndistribution of native and introduced herpetofauna on Saipan is poorly understood, and\nthe effects of land use and introduced species on the native herpetofauna are largely\nunknown. In 2018, we randomly selected sites on Saipan from established island-wide\ntransects and used multiple detection methods, repeated surveys, and single-season occupancy models to account for imperfect detection and construct species distribution\nmodels. We investigated the role of biotic and abiotic factors in explaining occupancy and\ndetection of Saipan’s native and introduced herpetofauna. We recorded 2568 observations\nrepresenting 1 amphibian and 11 reptile species. Introduced species were encountered 3.8\ntimes more frequently and were 33% more broadly distributed than native species. Occupancy\nfor the native forest dwelling species Emoia caeruleocauda and Perochirus ateles\nwas positively associated with elevation and enhanced vegetation index, suggesting that\nhuman habitat modification at lower elevations may be reducing their suitable habitat.We\nfound evidence of a range contraction for the imperiled P. ateles and suggest potential\navenues for implementing targeted conservation of native herpetofauna.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2020.e00984","collaboration":"","usgsCitation":"Hileman, E.T., Eichelberger, B.A., Liske-Clark, J., Barnhart, P.D., Reed, R., Yackel Adams, A.A., and Nafus, M.G., 2020, Landscape dominance of introduced herpetofauna on an oceanic island: Global Ecology and Conservation, v. 22, e00984, 17 p., https://doi.org/10.1016/j.gecco.2020.e00984.","productDescription":"e00984, 17 p.","ipdsId":"IP-115809","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":457441,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2020.e00984","text":"Publisher Index Page"},{"id":437064,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90IC37O","text":"USGS data release","linkHelpText":"Detection and non-detection records of Saipan's terrestrial herpetofauna, 2018"},{"id":374648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"","otherGeospatial":"Northern Mariana Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              145.37109375,\n              14.806749372133767\n            ],\n            [\n              145.931396484375,\n              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0000-0002-7208-3437","orcid":"https://orcid.org/0000-0002-7208-3437","contributorId":224634,"corporation":false,"usgs":false,"family":"Eichelberger","given":"Bradley","email":"","middleInitial":"A.","affiliations":[{"id":40899,"text":"Division of Fish and Wildlife, Department of Lands and Natural Resources, Saipan, CNMI","active":true,"usgs":false}],"preferred":false,"id":788862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liske-Clark, Jill","contributorId":216449,"corporation":false,"usgs":false,"family":"Liske-Clark","given":"Jill","email":"","affiliations":[{"id":39432,"text":"Division of Fish & Wildlife, Commonwealth of the Northern Marianas, Lower Base, Saipan Commonwealth of the Northern Mariana Islands","active":true,"usgs":false}],"preferred":false,"id":788863,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhart, Patrick D 0000-0002-3966-9444","orcid":"https://orcid.org/0000-0002-3966-9444","contributorId":224635,"corporation":false,"usgs":true,"family":"Barnhart","given":"Patrick","email":"","middleInitial":"D","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":788864,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":788865,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":788866,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nafus, Melia G. 0000-0002-7325-3055 mnafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":197462,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia","email":"mnafus@usgs.gov","middleInitial":"G.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":788867,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70238399,"text":"70238399 - 2020 - A lacustrine paleoenvironment recorded at Vera Rubin ridge, Gale crater: Overview of the sedimentology and stratigraphy observed by the Mars Science Laboratory Curiosity rover","interactions":[],"lastModifiedDate":"2022-11-21T13:06:29.28862","indexId":"70238399","displayToPublicDate":"2020-03-10T07:04:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5718,"text":"Journal of Geophysical Research: Planets","onlineIssn":"2169-9100","active":true,"publicationSubtype":{"id":10}},"title":"A lacustrine paleoenvironment recorded at Vera Rubin ridge, Gale crater: Overview of the sedimentology and stratigraphy observed by the Mars Science Laboratory Curiosity rover","docAbstract":"<div class=\"article-section__content en main\"><p>For ~500 Martian solar days (sols), the Mars Science Laboratory team explored Vera Rubin ridge (VRR), a topographic feature on the northwest slope of Aeolis Mons. Here we review the sedimentary facies and stratigraphy observed during sols 1,800–2,300, covering more than 100 m of stratigraphic thickness. Curiosity's traverse includes two transects across the ridge, which enables investigation of lateral variability over a distance of ~300 m. Three informally named stratigraphic members of the Murray formation are described: Blunts Point, Pettegrove Point, and Jura, with the latter two exposed on VRR. The Blunts Point member, exposed just below the ridge, is characterized by a recessive, fine-grained facies that exhibits extensive planar lamination and is crosscut by abundant curvi-planar veins. The Pettegrove Point member is more resistant, fine-grained, thinly planar laminated, and contains a higher abundance of diagenetic concretions. Conformable above the Pettegrove Point member is the Jura member, which is also fine-grained and parallel stratified, but is marked by a distinct step in topography, which coincides with localized meter-scale inclined strata, a thinly and thickly laminated facies, and occasional crystal molds. All members record low-energy lacustrine deposition, consistent with prior observations of the Murray formation. Uncommon outcrops of low-angle stratification suggest possible subaqueous currents, and steeply inclined beds may be the result of slumping. Collectively, the rocks exposed at VRR provide additional evidence for a long-lived lacustrine environment (in excess of 10<sup>6</sup><span>&nbsp;</span>years via comparison to terrestrial records of sedimentation), which extends our understanding of the duration of habitable conditions in Gale crater.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JE006307","usgsCitation":"Edgar, L.A., Fedo, C.M., Gupta, S., Banham, S.G., Fraeman, A.A., Grotzinger, J.P., Stack, K.M., Stein, N.T., Bennett, K.A., Rivera-Hernandez, F., Sun, V.Z., Edgett, K.S., Rubin, D.M., House, C.H., and Van Beek, J., 2020, A lacustrine paleoenvironment recorded at Vera Rubin ridge, Gale crater: Overview of the sedimentology and stratigraphy observed by the Mars Science Laboratory Curiosity rover: Journal of Geophysical Research: Planets, v. 125, no. 3, e2019JE006307, 22 p., https://doi.org/10.1029/2019JE006307.","productDescription":"e2019JE006307, 22 p.","ipdsId":"IP-114157","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":457445,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20200408-130611400","text":"External Repository"},{"id":409498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"125","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":857387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fedo, Christopher M.","contributorId":229497,"corporation":false,"usgs":false,"family":"Fedo","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":857388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gupta, Sanjeev","contributorId":172302,"corporation":false,"usgs":false,"family":"Gupta","given":"Sanjeev","email":"","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":857389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banham, Steve G.","contributorId":203783,"corporation":false,"usgs":false,"family":"Banham","given":"Steve","email":"","middleInitial":"G.","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":857390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fraeman, Abigail A.","contributorId":200404,"corporation":false,"usgs":false,"family":"Fraeman","given":"Abigail","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":857391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grotzinger, John P.","contributorId":181502,"corporation":false,"usgs":false,"family":"Grotzinger","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":857392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stack, Kathryn M. 0000-0003-3444-6695","orcid":"https://orcid.org/0000-0003-3444-6695","contributorId":146791,"corporation":false,"usgs":false,"family":"Stack","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":857393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stein, Nathan T.","contributorId":203792,"corporation":false,"usgs":false,"family":"Stein","given":"Nathan","email":"","middleInitial":"T.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":857394,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bennett, Kristen A. 0000-0001-8105-7129","orcid":"https://orcid.org/0000-0001-8105-7129","contributorId":237068,"corporation":false,"usgs":true,"family":"Bennett","given":"Kristen","email":"","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":857395,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rivera-Hernandez, Frances","contributorId":270378,"corporation":false,"usgs":false,"family":"Rivera-Hernandez","given":"Frances","affiliations":[{"id":39657,"text":"Dartmouth College","active":true,"usgs":false}],"preferred":false,"id":857396,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sun, Vivian Z. 0000-0003-1480-7369","orcid":"https://orcid.org/0000-0003-1480-7369","contributorId":237064,"corporation":false,"usgs":false,"family":"Sun","given":"Vivian","email":"","middleInitial":"Z.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":857397,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Edgett, Kenneth S.","contributorId":203786,"corporation":false,"usgs":false,"family":"Edgett","given":"Kenneth","email":"","middleInitial":"S.","affiliations":[{"id":36716,"text":"Malin Space Science Systems","active":true,"usgs":false}],"preferred":false,"id":857398,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rubin, David M.","contributorId":206587,"corporation":false,"usgs":false,"family":"Rubin","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":32898,"text":"U.C. Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":857399,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"House, Christopher H","contributorId":229504,"corporation":false,"usgs":false,"family":"House","given":"Christopher","email":"","middleInitial":"H","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":857400,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Van Beek, Jason K.","contributorId":167696,"corporation":false,"usgs":false,"family":"Van Beek","given":"Jason K.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":857401,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70209132,"text":"70209132 - 2020 - Spatial conservation planning under uncertainty using modern portfolio theory and nash bargaining solution","interactions":[],"lastModifiedDate":"2020-03-19T07:07:03","indexId":"70209132","displayToPublicDate":"2020-03-10T07:04:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Spatial conservation planning under uncertainty using modern portfolio theory and nash bargaining solution","docAbstract":"In recent years, researchers from interdisciplinary teams involving ecologists, economists and operations re- searchers collaborated to provide decision support tools to address the challenges of preserving biodiversity  by optimizing the design of reserves. The goal of this paper is to further advance this area of research and provide new solutions to solve complex Spatial Conservation Planning (SCP) problems under uncertainty that consider risk preferences of decision makers. Our approach employs modern portfolio theory to address uncertainties in SCP problems, and involves two conflicting objectives: maximizing return and minimizing  risk. We apply concepts from game theory such as  the  Nash  bargaining  solution  to  directly  compute  a desirable Pareto-optimal solution for the proposed bi-objective optimization formulation in natural resource management problems. We demonstrate with numerical examples that by directly computing a Nash bar- gaining  solution,  a  Binary  Quadratically  Constrained  Quadratic  Program  (BQCQP)  can  be  solved.  We show that our approach (implementable with commercial solvers such as CPLEX) can effectively solve the proposed BQCQP for much larger problems than previous approaches published in the ecological literature. Optimal solutions for problems with less than 400 parcels can be computed within a minute. Near optimal solutions (within at most 0.2% gap from an optimal solution) for high-dimensional problems involving up to 800 parcels can be computed within 8 hours on a standard computer.  We  have presented a new approach to solve SCP optimization problems while considering uncertainty and risk tolerance of decision makers. Our new approach expands considerably the applicability of such SCP optimization methods to address real conservation problems.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2020.109016","usgsCitation":"Sierra-Altamiranda, A., Charkhgard, H., Eaton, M., Martin, J., Yurek, S., and Udell, B.J., 2020, Spatial conservation planning under uncertainty using modern portfolio theory and nash bargaining solution: Ecological Modelling, v. 423, 109016, 17 p., https://doi.org/10.1016/j.ecolmodel.2020.109016.","productDescription":"109016, 17 p.","ipdsId":"IP-112883","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":457446,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2020.109016","text":"Publisher Index Page"},{"id":373358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"423","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sierra-Altamiranda, Alvaro 0000-0002-8348-2820","orcid":"https://orcid.org/0000-0002-8348-2820","contributorId":223439,"corporation":false,"usgs":false,"family":"Sierra-Altamiranda","given":"Alvaro","email":"","affiliations":[{"id":40714,"text":"Department of Industrial and Management Systems Engineering, University of South Florida","active":true,"usgs":false}],"preferred":false,"id":785051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Charkhgard, Hadi","contributorId":216710,"corporation":false,"usgs":false,"family":"Charkhgard","given":"Hadi","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":785052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":216712,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":785050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":216718,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":785053,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216713,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":785054,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Udell, Bradley J. 0000-0001-5225-4959","orcid":"https://orcid.org/0000-0001-5225-4959","contributorId":223440,"corporation":false,"usgs":false,"family":"Udell","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":40715,"text":"Wildlife Ecology and Conservation Department, University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":785055,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70209822,"text":"70209822 - 2020 - Dust deposited on snow cover in the San Juan Mountains, Colorado, 2011-2016: Compositional variability bearing on snow-melt effects","interactions":[],"lastModifiedDate":"2020-04-30T11:28:31.936528","indexId":"70209822","displayToPublicDate":"2020-03-10T06:21:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2308,"text":"Journal of Geological Research","active":true,"publicationSubtype":{"id":10}},"title":"Dust deposited on snow cover in the San Juan Mountains, Colorado, 2011-2016: Compositional variability bearing on snow-melt effects","docAbstract":"Light-absorbing particles in atmospheric dust deposited on snow cover (dust-on-snow, DOS) diminish albedo and accelerate the timing and rate of snow melt. Identification of these particles and their effects are relevant to snow-radiation modeling and thus water-resource management. Laboratory-measured reflectance of DOS samples from the San Juan Mountains (USA) were compared with DOS mass loading, particle sizes, iron mineralogy, carbonaceous matter type and content, and chemical compositions. Samples were collected each spring for water years 2011-2016, when individual dust layers had merged into one (all layers merged) at the snow surface. Average reflectance values of the six samples were 0.2153 (sd, 0.0331) across the visible wavelength region (0.4-0.7 µm) and 0.3570 (sd, 0.0498) over the full-measurement range (0.4-2.50 µm). Reflectance values correlated inversely to concentrations of ferric oxide, organic carbon (1.4-10 wt. %), magnetite (0.05-0.13 wt. %), and silt (PM63-3.9; median grain sizes averaged 21.4 µm) but lacked correspondence to total iron and PM10 contents.  Measurements of reflectance and Mössbauer spectra and magnetic properties indicated that microcrystalline hematite and nano-size goethite were primarily responsible for diminished visible reflectance. Positive correlations between organic carbon and metals attributed to fossil-fuel combustion, with observations from electron microscopy, indicated that some carbonaceous matter occurred as black carbon. Magnetite was a surrogate for related light-absorbing minerals, dark rock particles, and contaminants.  Similar analyses of DOS from other areas would help evaluate the influences of varied dust sources, wind-storm patterns, and anthropogenic inputs on snow melt and water resources in and beyond the Colorado River basin.","language":"English","publisher":"Wiley","doi":"10.1029/2019JD032210","collaboration":"","usgsCitation":"Reynolds, R.L., Goldstein, H.L., Moskowitz, B.M., Kokaly, R.F., Munson, S.M., Solheid, P., Breit, G.N., Lawrence, C.R., and Derry, J., 2020, Dust deposited on snow cover in the San Juan Mountains, Colorado, 2011-2016: Compositional variability bearing on snow-melt effects: Journal of Geological Research, v. 125, no. 7, e2019JD032210, 24 p., https://doi.org/10.1029/2019JD032210.","productDescription":"e2019JD032210, 24 p.","ipdsId":"IP-114213","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":457449,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jd032210","text":"Publisher Index Page"},{"id":437065,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RGQ9KX","text":"USGS data release","linkHelpText":"Data for Dust deposited on snow cover in the San Juan Mountains, Colorado, 2011-2016: Compositional variability bearing on snow-melt effects"},{"id":374391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"San Juan Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.5888671875,\n              37.020098201368114\n            ],\n            [\n              -105.908203125,\n              37.020098201368114\n            ],\n    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hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":807,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":788164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moskowitz, Bruce M.","contributorId":191599,"corporation":false,"usgs":false,"family":"Moskowitz","given":"Bruce","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":788165,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":788166,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":788167,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Solheid, Peat","contributorId":224401,"corporation":false,"usgs":false,"family":"Solheid","given":"Peat","email":"","affiliations":[{"id":40874,"text":"Institute for Rock Magnetism, Department of Earth and Environmental Sciences, University of 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,{"id":70209155,"text":"70209155 - 2020 - Potential impacts of future urbanization and sea level rise on Florida’s natural resources","interactions":[],"lastModifiedDate":"2020-06-19T16:30:41.923138","indexId":"70209155","displayToPublicDate":"2020-03-09T19:03:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Potential impacts of future urbanization and sea level rise on Florida’s natural resources","docAbstract":"As urban development continues to encroach into natural systems, these ecosystems experience increasing degradation to their form and function. Losses in biodiversity and ecosystem function are further compounded by changing climatic conditions. The State of Florida is known for its biodiversity but has experienced declines in species populations and habitats because of urbanization and sea level rise. These declines are particularly challenging in an economy that benefits from a multibillion-dollar income from natural resources tourism. In this study, we assessed the potential future impacts of urbanization and sea level rise on a suite of conservation targets that have been set for the State. We developed six scenarios of all combinations of intermediate and high sea level rise paired with two types of urbanization (sprawling and compact) in both 2040 and 2070 to examine the potential future threats to conservation targets in High Pine and Scrub, Coastal Uplands, and Freshwater Aquatics ecosystems. Our results show projected decreases in extent and area of these priority ecosystems into the future. Florida's current trend in urbanization practices are projected to have a greater impact on conservation targets than if sprawl reduction practices are implemented. Coastal Uplands are projected to experience the greatest loss in area, at up to 47%. Conservation-focused urban planning and climate adaptation strategies can help protect Florida's natural resources with benefits to Florida's tourism economy as well as critical ecosystem functions and services such as coastal flood protection and storm surge risk reduction.","language":"English","publisher":"Fish and Wildlife Service","doi":"10.3996/092019-JFWM-076","usgsCitation":"Romanach, S., Benscoter, A., and Haider, S., 2020, Potential impacts of future urbanization and sea level rise on Florida’s natural resources: Journal of Fish and Wildlife Management, v. 11, no. 1, p. 174-184, https://doi.org/10.3996/092019-JFWM-076.","productDescription":"11 p.","startPage":"174","endPage":"184","ipdsId":"IP-109029","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":457451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/092019-jfwm-076","text":"Publisher Index Page"},{"id":373398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Center","active":true,"usgs":true}],"preferred":true,"id":785155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haider, Saira M. 0000-0001-9306-3454","orcid":"https://orcid.org/0000-0001-9306-3454","contributorId":206253,"corporation":false,"usgs":true,"family":"Haider","given":"Saira","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":785156,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208979,"text":"70208979 - 2020 - Coupling of Indo-Pacific climate variability over the last millennium","interactions":[],"lastModifiedDate":"2020-04-06T23:21:11.759548","indexId":"70208979","displayToPublicDate":"2020-03-09T18:28:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Coupling of Indo-Pacific climate variability over the last millennium","docAbstract":"The Indian Ocean Dipole (IOD) impacts climate and rainfall across the world, and most\nseverely in nations surrounding the Indian Ocean1-4. The frequency and intensity of positive\nIOD events increased during the 20th Century5 and may continue to intensify in a warming\nworld6; however, confidence in future IOD changes is limited by known biases in model\nrepresentations of the IOD7 and the lack of information on natural IOD variability prior to\nanthropogenic climate change. Here we use precisely dated and highly resolved coral records\nfrom the eastern equatorial Indian Ocean, where the signature of IOD variability is optimised,\nto produce a semi-continuous reconstruction of IOD variability that covers five centuries of\nthe last millennium. Our reconstruction demonstrates that extreme positive IOD events were\nrare prior to 1960. However, the strongest event on record (1997) is not unprecedented as at\nleast one event that was approximately 27% to 42% larger occurred naturally during the 17th\nCentury. We further show that a persistent, tight coupling existed between variability of the\nIOD and the El Niño-Southern Oscillation during the last millennium. Indo-Pacific coupling was\ncharacterised by weak interannual variability prior to ~1590 CE which likely altered\nteleconnection patterns, and anomalously strong variability during the 17th Century that was\nassociated with societal upheaval in tropical Asia. A tendency for clustering of positive IOD\nevents is evident in our reconstruction, which together with the identification of extreme IOD\nvariability and persistent tropical Indo-Pacific climate coupling may have implications for\nimproving seasonal and decadal prediction schemes and managing the climate risks of future\nIOD variability.","language":"English","publisher":"Nature ","doi":"10.1038/s41586-020-2084-4","usgsCitation":"Abram, N.J., Wright, N.M., Ellis, B., Dixon, B.C., Wurtzel, J.B., England, M.H., Ummenhofer, C.C., Philibosian, B.E., Cahyarini, S.Y., Yu, T., Shen, C., Cheng, H., Edwards, R.L., and Heslop, D., 2020, Coupling of Indo-Pacific climate variability over the last millennium: Nature, v. 579, p. 385-392, https://doi.org/10.1038/s41586-020-2084-4.","productDescription":"8 p.","startPage":"385","endPage":"392","ipdsId":"IP-107432","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":467295,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://openresearch-repository.anu.edu.au/bitstream/1885/218995/3/01_Abram_Coupling_of_Indo-Pacific_2020.pdf.jpg","text":"External Repository"},{"id":373037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              71.015625,\n              -31.653381399663985\n            ],\n            [\n              155.390625,\n              -31.653381399663985\n            ],\n            [\n              155.390625,\n              24.84656534821976\n            ],\n            [\n              71.015625,\n              24.84656534821976\n            ],\n            [\n              71.015625,\n              -31.653381399663985\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"579","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Abram, Nerilie J.","contributorId":195006,"corporation":false,"usgs":false,"family":"Abram","given":"Nerilie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":784263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Nicky M. 0000-0002-5600-3193","orcid":"https://orcid.org/0000-0002-5600-3193","contributorId":223135,"corporation":false,"usgs":false,"family":"Wright","given":"Nicky","email":"","middleInitial":"M.","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":784264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Bethany 0000-0002-4662-1115","orcid":"https://orcid.org/0000-0002-4662-1115","contributorId":223136,"corporation":false,"usgs":false,"family":"Ellis","given":"Bethany","email":"","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":784265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dixon, Bronwyn C.","contributorId":195017,"corporation":false,"usgs":false,"family":"Dixon","given":"Bronwyn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":784266,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wurtzel, Jennifer B. 0000-0002-5285-4492","orcid":"https://orcid.org/0000-0002-5285-4492","contributorId":223137,"corporation":false,"usgs":false,"family":"Wurtzel","given":"Jennifer","email":"","middleInitial":"B.","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":784267,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"England, Matthew H. 0000-0001-9696-2930","orcid":"https://orcid.org/0000-0001-9696-2930","contributorId":223138,"corporation":false,"usgs":false,"family":"England","given":"Matthew","email":"","middleInitial":"H.","affiliations":[{"id":27304,"text":"University of New South Wales","active":true,"usgs":false}],"preferred":false,"id":784268,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ummenhofer, Caroline C. 0000-0002-9163-3967","orcid":"https://orcid.org/0000-0002-9163-3967","contributorId":223139,"corporation":false,"usgs":false,"family":"Ummenhofer","given":"Caroline","email":"","middleInitial":"C.","affiliations":[{"id":40678,"text":"University of New South Wales; Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":784269,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Philibosian, Belle E. 0000-0003-3138-4716","orcid":"https://orcid.org/0000-0003-3138-4716","contributorId":206110,"corporation":false,"usgs":true,"family":"Philibosian","given":"Belle","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":784262,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cahyarini, Sri Yudawati 0000-0001-8378-0716","orcid":"https://orcid.org/0000-0001-8378-0716","contributorId":223140,"corporation":false,"usgs":false,"family":"Cahyarini","given":"Sri","email":"","middleInitial":"Yudawati","affiliations":[{"id":40679,"text":"Research Center for Geotechnology, Indonesian Institute of Sciences (LIPI)","active":true,"usgs":false}],"preferred":false,"id":784270,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yu, Tsai-Luen","contributorId":223141,"corporation":false,"usgs":false,"family":"Yu","given":"Tsai-Luen","email":"","affiliations":[{"id":30216,"text":"National Taiwan University","active":true,"usgs":false}],"preferred":false,"id":784271,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shen, Chuan-Chou","contributorId":193424,"corporation":false,"usgs":false,"family":"Shen","given":"Chuan-Chou","email":"","affiliations":[{"id":27347,"text":"High-precision Mass Spectrometry and Environment Change Laboratory (HISPEC), Department of Geosciences, National Taiwan University","active":true,"usgs":false}],"preferred":false,"id":784272,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cheng, Hai 0000-0002-5305-9458","orcid":"https://orcid.org/0000-0002-5305-9458","contributorId":223142,"corporation":false,"usgs":false,"family":"Cheng","given":"Hai","email":"","affiliations":[{"id":40680,"text":"Xi'an Jiaotong University","active":true,"usgs":false}],"preferred":false,"id":784273,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Edwards, R. Lawrence 0000-0002-7027-5881","orcid":"https://orcid.org/0000-0002-7027-5881","contributorId":223143,"corporation":false,"usgs":false,"family":"Edwards","given":"R.","email":"","middleInitial":"Lawrence","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":784274,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Heslop, David 0000-0001-8245-0555","orcid":"https://orcid.org/0000-0001-8245-0555","contributorId":223144,"corporation":false,"usgs":false,"family":"Heslop","given":"David","email":"","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":784275,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70209115,"text":"70209115 - 2020 - Post-release monitoring of a stranded and rehabilitated short-finned pilot whale (Globicephala macrorhynchus) reveals current-assisted travel","interactions":[],"lastModifiedDate":"2020-03-17T15:59:21","indexId":"70209115","displayToPublicDate":"2020-03-09T15:56:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":869,"text":"Aquatic Mammals","active":true,"publicationSubtype":{"id":10}},"title":"Post-release monitoring of a stranded and rehabilitated short-finned pilot whale (Globicephala macrorhynchus) reveals current-assisted travel","docAbstract":"A subadult female short-finned pilot whale (Globicephala macrorhynchus), stranded on the northeastern Gulf of Mexico coast of Florida in June 2017, was rehabilitated for 38 days and then monitored with a satellite-linked, time-depth recording tag for 32 days after being released off the West Florida Shelf.  The individual, “Gale,” appeared to regularly use ocean currents to facilitate a southeastward movement around Florida, and then a northward movement along the continental shelf break to the waters off Cape Hatteras, North Carolina.  Indeed, 57% of her travel along the coast of Florida was at speeds consistent with the surface speed and direction of the Gulf Stream.  Overall, current-assisted travel contributed to a 19% increase in distance traveled (4,152 km), and to an average rate of travel (130 km·day-1) that was higher than previously reported for Globicephala spp.  Gale’s dive behavior was typical of other short-finned pilot whale observations, with average dive depths (243 ± 136 m, max = 712 m) and durations (7.9 ± 2.2 min, max = 16.0 min) within the range of reported values for Globicephala spp.  Gale also occupied habitats known to be used by pilot whales, and her movements and behaviors were consistent with those observed in other short-finned pilot whales in the Gulf of Mexico and northwestern Atlantic Ocean.  The information presented here contributes to a better understanding of short-finned pilot whales, and to the assessment of rehabilitation and release protocols.","language":"English","publisher":"Aquatic Mammals ","doi":"10.1578/AM.46.2.2020.200","usgsCitation":"Tyson Moore, R.B., Douglas, D., Nollens, H.H., and Wells, R.S., 2020, Post-release monitoring of a stranded and rehabilitated short-finned pilot whale (Globicephala macrorhynchus) reveals current-assisted travel: Aquatic Mammals, v. 46, no. 2, p. 200-214, https://doi.org/10.1578/AM.46.2.2020.200.","productDescription":"14 p.","startPage":"200","endPage":"214","ipdsId":"IP-106503","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":373327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, North Carolina, South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.978515625,\n              30.372875188118016\n            ],\n            [\n              -86.044921875,\n              26.352497858154024\n            ],\n            [\n              -80.33203125,\n              23.96617587126503\n            ],\n            [\n              -78.486328125,\n              25.562265014427492\n            ],\n            [\n              -75.322265625,\n              28.536274512989916\n            ],\n            [\n              -74.00390625,\n              33.063924198120645\n            ],\n            [\n              -75.234375,\n              36.24427318493909\n            ],\n            [\n              -76.9921875,\n              35.17380831799959\n            ],\n            [\n              -82.001953125,\n              32.24997445586331\n            ],\n            [\n              -87.978515625,\n              30.372875188118016\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2020-03-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Tyson Moore, Reny B","contributorId":223405,"corporation":false,"usgs":false,"family":"Tyson Moore","given":"Reny","email":"","middleInitial":"B","affiliations":[{"id":37712,"text":"Chicago Zoological Society’s Sarasota Dolphin Research Program","active":true,"usgs":false}],"preferred":false,"id":784970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"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":784969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nollens, Hendrik H.","contributorId":223406,"corporation":false,"usgs":false,"family":"Nollens","given":"Hendrik","email":"","middleInitial":"H.","affiliations":[{"id":40712,"text":"SeaWorld of California","active":true,"usgs":false}],"preferred":false,"id":784971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wells, Randall S.","contributorId":208091,"corporation":false,"usgs":false,"family":"Wells","given":"Randall","email":"","middleInitial":"S.","affiliations":[{"id":37712,"text":"Chicago Zoological Society’s Sarasota Dolphin Research Program","active":true,"usgs":false}],"preferred":false,"id":784972,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}