{"pageNumber":"291","pageRowStart":"7250","pageSize":"25","recordCount":40783,"records":[{"id":70259725,"text":"70259725 - 2020 - Magma intrusion and volatile ascent beneath Norris Geyser Basin, Yellowstone National Park","interactions":[],"lastModifiedDate":"2024-10-21T11:35:41.556847","indexId":"70259725","displayToPublicDate":"2020-01-28T06:34:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5999,"text":"Journal of Geophysical Research- Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Magma intrusion and volatile ascent beneath Norris Geyser Basin, Yellowstone National Park","docAbstract":"

Recent activity has provided new insights into the causes of surface deformation in and around the Yellowstone Caldera, a topic that has been debated since the discovery of caldera floor uplift more than four decades ago. An episode of unusually rapid uplift (>15 cm/yr) centered near Norris Geyser Basin along the north caldera rim began in late 2013 and continued until a Mw 4.9 earthquake on 30 March 2014; thereafter, uplift abruptly switched to subsidence. Uplift at rates of several centimeters per year resumed in 2016 and continued at least through the end of 2018. Modeling of Global Positioning System and interferometric synthetic aperture radar data suggests an evolving process of deep magma intrusion during 1996–2001 followed by volatile ascent and accumulation at shallow levels, perhaps as shallow as a few hundred meters depth. The depth of shallow volatile accumulation appears to have shallowed from the 2014 to the 2016 deformation episode, and frequent eruptions of Steamboat Geyser since March 2018 are likely a surface manifestation of this ongoing process. Hydrothermal explosion features are prominent in the Norris Geyser Basin area, and the apparent shallow nature of the volatile accumulation implies an increased risk of hydrothermal explosions.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB018208","usgsCitation":"Wicks, C., Dzurisin, D., Lowenstern, J.B., and Svarc, J.L., 2020, Magma intrusion and volatile ascent beneath Norris Geyser Basin, Yellowstone National Park: Journal of Geophysical Research- Solid Earth, v. 125, no. 2, e2019JB018208, 13 p., https://doi.org/10.1029/2019JB018208.","productDescription":"e2019JB018208, 13 p.","ipdsId":"IP-106876","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467302,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jb018208","text":"Publisher Index Page"},{"id":463058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.12830710041113,\n 45.05846560811668\n ],\n [\n -111.12830710041113,\n 43.421486100190435\n ],\n [\n -108.70032858478615,\n 43.421486100190435\n ],\n [\n -108.70032858478615,\n 45.05846560811668\n ],\n [\n -111.12830710041113,\n 45.05846560811668\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"125","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Wicks, Charles 0000-0002-0809-1328","orcid":"https://orcid.org/0000-0002-0809-1328","contributorId":9023,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":916464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":538,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":916465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":916466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Svarc, Jerry L. 0000-0002-2802-4528","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":212736,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":916467,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228334,"text":"70228334 - 2020 - Outmigration survival of wild Chinook salmon smolts through the Sacramento River during historic drought and high water conditions","interactions":[],"lastModifiedDate":"2022-02-10T12:01:02.411732","indexId":"70228334","displayToPublicDate":"2020-01-27T16:26:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Outmigration survival of wild Chinook salmon smolts through the Sacramento River during historic drought and high water conditions","docAbstract":"Populations of wild spring-run Chinook salmon in California’s Central Valley, once numbering in the millions, have dramatically declined to record low numbers. Dam construction, habitat degradation, and altered flow regimes have all contributed to depress populations, which currently persist in only a few tributaries to the Sacramento River. Mill Creek (Tehama County) continues to support these threatened fish, and contains some of the most pristine spawning and rearing habitat available in the Central Valley. Despite this pristine habitat, the number of Chinook salmon returning to spawn has declined to record low numbers, likely due to poor outmigration survival rates. From 2013-2017, 334 smolts were captured and acoustic tagged while out-migrating from Mill Creek, allowing for movement and survival rates to be tracked over 250 kilometers through the Sacramento River. During this study California experienced both a historic drought and record rainfall, resulting in dramatic fluctuations in year-to-year river flow and water temperature. Cumulative survival of tagged smolts from Mill Creek through the Sacramento River was 9.5% (±1.6) during the study, with relatively low survival during historic drought conditions in 2015 (4.9% ± 1.6) followed by increased survival during high flows in 2017 (42.3% ± 9.1). Survival in Mill Creek and the Sacramento River was modeled over a range of flow values, which indicated that higher flows in each region result in increased survival rates. Survival estimates gathered in this study can help focus management and restoration actions over a relatively long migration corridor to specific regions of low survival, and provide guidance for management actions in the Sacramento River aimed at restoring populations of threatened Central Valley spring-run Chinook salmon.","language":"English","publisher":"Wiley","doi":"10.1007/s10641-020-00952-1","usgsCitation":"Notch, J.J., McHuron, A.S., Michel, C., Cordoleani, F., Johnson, M., Henderson, M., and Ammann, A., 2020, Outmigration survival of wild Chinook salmon smolts through the Sacramento River during historic drought and high water conditions: Environmental Biology of Fishes, v. 103, p. 561-576, https://doi.org/10.1007/s10641-020-00952-1.","productDescription":"16 p.","startPage":"561","endPage":"576","ipdsId":"IP-110532","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":457993,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10641-020-00952-1","text":"Publisher Index Page"},{"id":395740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lassen National Forest, Lassen National Park, Mill Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.60693359374999,\n 37.26530995561875\n ],\n [\n -121.6845703125,\n 37.26530995561875\n ],\n [\n -121.6845703125,\n 41.062786068733026\n ],\n [\n -124.60693359374999,\n 41.062786068733026\n ],\n [\n -124.60693359374999,\n 37.26530995561875\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"103","noUsgsAuthors":false,"publicationDate":"2020-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Notch, Jeremy J.","contributorId":275201,"corporation":false,"usgs":false,"family":"Notch","given":"Jeremy","email":"","middleInitial":"J.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":833806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHuron, Alex S.","contributorId":275202,"corporation":false,"usgs":false,"family":"McHuron","given":"Alex","email":"","middleInitial":"S.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":833807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michel, Cyril J.","contributorId":275203,"corporation":false,"usgs":false,"family":"Michel","given":"Cyril J.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":833808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cordoleani, Flora","contributorId":275204,"corporation":false,"usgs":false,"family":"Cordoleani","given":"Flora","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":833809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Matt","contributorId":275205,"corporation":false,"usgs":false,"family":"Johnson","given":"Matt","email":"","affiliations":[{"id":54562,"text":"cdfw","active":true,"usgs":false}],"preferred":false,"id":833810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":833805,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ammann, Arnold J.","contributorId":275206,"corporation":false,"usgs":false,"family":"Ammann","given":"Arnold J.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":833811,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70208508,"text":"70208508 - 2020 - The influence of frost weathering on the debris flow sediment supply in an alpine basin","interactions":[],"lastModifiedDate":"2020-12-18T21:19:02.036773","indexId":"70208508","displayToPublicDate":"2020-01-25T08:52:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"The influence of frost weathering on the debris flow sediment supply in an alpine basin","docAbstract":"Rocky, alpine mountains are prone to mass wasting from debris flows. The Chalk Cliffs\n\tstudy area (central Colorado, USA) produces debris flows annually. These debris flows\n\tare triggered when overland flow driven by intense summer convective storms mobilizes\n\tlarge volumes of sediment within the channel network. Understanding the debris flow\n\n\thazard in this, and similar alpine settings, requires determining the magnitude of sed-\n\timent accumulation between debris flow seasons, and identifying the control on sediment\n\tproduction. To address these knowledge gaps, we measured changes in sediment produc-\n\n\ttion using a sediment retention fence to quantify how sedimentation was influenced by\n\ttemperature at the plot scale. These measurements were extrapolated to a larger area,\n\twhere we extended the sediment fence results to explore how rockfall sedimentation con-\n\ttributed to channel refilling between active debris flow periods. This work shows debris\n\n\tflow channel refilling is correlated with low temperatures and time in the frost-cracking\n\twindow, implicating frost weathering mechanisms as a key driver of sedimentation. This\n\tsediment production process resulted in a large amount of sediment accumulation dur-\n\n\ting a single winter season in our study reach (up to 0.4 m in some locations). Using these\n\tobservations, we develop a channel refilling model that generally describes the mass bal-\n\tance of debris flow watersheds in alpine areas.","language":"English","publisher":"AGU","doi":"10.1029/2019JF005369","usgsCitation":"Rengers, F.K., Kean, J.W., Reitman, N.G., Smith, J.B., Coe, J.A., and McGuire, L., 2020, The influence of frost weathering on the debris flow sediment supply in an alpine basin: Journal of Geophysical Research, v. 125, no. 2, e2019JF005369, 16 p., https://doi.org/10.1029/2019JF005369.","productDescription":"e2019JF005369, 16 p.","ipdsId":"IP-114466","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":458002,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jf005369","text":"Publisher Index Page"},{"id":437141,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VTVU6Q","text":"USGS data release","linkHelpText":"Monitoring environmental controls on debris-flow sediment supply, Chalk Cliffs, Colorado, 2011 to 2015"},{"id":437140,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CZ36BS","text":"USGS data release","linkHelpText":"Chalk Cliffs Channel Surveys derived from Structure-from-Motion"},{"id":372311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Chalk Cliffs","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.45957946777344,\n 38.504116723098484\n ],\n [\n -106.09634399414061,\n 38.504116723098484\n ],\n [\n -106.09634399414061,\n 38.82366088659335\n ],\n [\n -106.45957946777344,\n 38.82366088659335\n ],\n [\n -106.45957946777344,\n 38.504116723098484\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782193,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782195,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":782196,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGuire, Luke","contributorId":197027,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","affiliations":[],"preferred":false,"id":782197,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208065,"text":"70208065 - 2020 - How \"simple\" methodological decisions affect interpretation of population structure based on reduced representation library DNA sequencing: A case study using the lake whitefish","interactions":[],"lastModifiedDate":"2020-01-29T15:45:53","indexId":"70208065","displayToPublicDate":"2020-01-24T20:06:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"How \"simple\" methodological decisions affect interpretation of population structure based on reduced representation library DNA sequencing: A case study using the lake whitefish","docAbstract":"Reduced representation (RRL) sequencing approaches (e.g., RADSeq, genotyping by\nsequencing) require decisions about how much to invest in genome coverage and sequencing\ndepth, as well as choices of values for adjustable bioinformatics parameters. To empirically\nexplore the importance of these “simple” methodological decisions, we generated two\nindependent sequencing libraries for the same 142 individual lake whitefish (Coregonus clupeaformis)\nusing a nextRAD RRL approach: (1) a larger number of loci at low sequencing\ndepth based on a 9mer (library A); and (2) fewer loci at higher sequencing depth based on a\n10mer (library B). The fish were selected from populations with different levels of expected\ngenetic subdivision. Each library was analyzed using the STACKS pipeline followed by\nthree types of population structure assessment (FST, DAPC and ADMIXTURE) with iterative\nincreases in the stringency of sequencing depth and missing data requirements, as well as\nmore specific a priori population maps. Library B was always able to resolve strong population\ndifferentiation in all three types of assessment regardless of the selected parameters,\nlargely due to retention of more loci in analyses. In contrast, library A produced more variable\nresults; increasing the minimum sequencing depth threshold (-m) resulted in a reduced\nnumber of retained loci, and therefore lost resolution at high -m values for FST and ADMIXTURE, but not DAPC. When detecting fine population differentiation, the population map\ninfluenced the number of loci and missing data, which generated artefacts in all downstream\nanalyses tested. Similarly, when examining fine scale population subdivision, library B was\nrobust to changing parameters but library A lost resolution depending on the parameter set.\nWe used library B to examine actual subdivision in our study populations. All three types of\nanalysis found complete subdivision among populations in Lake Huron, ON and Dore Lake,\nSK, Canada using 10,640 SNP loci. Weak population subdivision was detected in Lake\nHuron with fish from sites in the north-west, Search Bay, North Point and Hammond Bay,showing slight differentiation. Overall, we show that apparently simple decisions about\nlibrary construction and bioinformatics parameters can have important impacts on the interpretation of population subdivision. Although potentially more costly on a per-locus basis,\nearly investment in striking a balance between the number of loci and sequencing effort is\nwell worth the reduced genomic coverage for population genetics studies. More conservative\nstringency settings on STACKS parameters lead to a final dataset that was more consistent\nand robust when examining both weak and strong population differentiation. Overall,\nwe recommend that researchers approach “simple” methodological decisions with caution,\nespecially when working on non-model species for the first time.","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0226608","usgsCitation":"Graham, C.F., Boreham, D.R., Manzon, R.G., Stott, W., Wilson, J.Y., and Somers, C.M., 2020, How \"simple\" methodological decisions affect interpretation of population structure based on reduced representation library DNA sequencing: A case study using the lake whitefish: PLoS ONE, v. 15, no. 1, e0226608, 35 p., https://doi.org/10.1371/journal.pone.0226608.","productDescription":"e0226608, 35 p.","ipdsId":"IP-104778","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":458004,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0226608","text":"Publisher Index Page"},{"id":371632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario, Saskatchewan","otherGeospatial":"Dore Lake, Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.287109375,\n 46.057985244793024\n ],\n [\n -84.7705078125,\n 46.027481852486645\n ],\n [\n -84.6826171875,\n 45.5679096098613\n ],\n [\n -83.7158203125,\n 45.24395342262324\n ],\n [\n -83.38623046875,\n 44.33956524809713\n ],\n [\n -84.0234375,\n 43.8186748554532\n ],\n [\n -83.64990234375,\n 43.54854811091286\n ],\n [\n -83.03466796874999,\n 44.05601169578525\n ],\n [\n -82.68310546875,\n 43.89789239125797\n ],\n [\n -81.62841796875,\n 43.628123412124616\n ],\n [\n -81.650390625,\n 44.15068115978094\n ],\n [\n -81.298828125,\n 44.63739123445585\n ],\n [\n -81.474609375,\n 45.182036837015886\n ],\n [\n -84.0234375,\n 46.027481852486645\n ],\n [\n -84.287109375,\n 46.057985244793024\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.6275634765625,\n 54.60071000748458\n ],\n [\n -106.973876953125,\n 54.60071000748458\n ],\n [\n -106.973876953125,\n 54.93661015660588\n ],\n [\n -107.6275634765625,\n 54.93661015660588\n ],\n [\n -107.6275634765625,\n 54.60071000748458\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Graham, Carly F.","contributorId":221815,"corporation":false,"usgs":false,"family":"Graham","given":"Carly","email":"","middleInitial":"F.","affiliations":[{"id":40436,"text":"Department of Biology, University of Regina, Regina, Saskatchewan, Canada","active":true,"usgs":false}],"preferred":false,"id":780338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boreham, Douglas R.","contributorId":178144,"corporation":false,"usgs":false,"family":"Boreham","given":"Douglas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":780339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manzon, Richard G.","contributorId":178142,"corporation":false,"usgs":false,"family":"Manzon","given":"Richard","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":780340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stott, Wendylee 0000-0002-5252-4901 wstott@usgs.gov","orcid":"https://orcid.org/0000-0002-5252-4901","contributorId":191249,"corporation":false,"usgs":true,"family":"Stott","given":"Wendylee","email":"wstott@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":780337,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Joanna Y.","contributorId":178143,"corporation":false,"usgs":false,"family":"Wilson","given":"Joanna","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":780341,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Somers, Christopher M.","contributorId":178145,"corporation":false,"usgs":false,"family":"Somers","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":780342,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208339,"text":"70208339 - 2020 - Herpetofauna occupancy and community composition along a tidal swamp salinity gradient","interactions":[],"lastModifiedDate":"2020-10-28T15:14:42.1013","indexId":"70208339","displayToPublicDate":"2020-01-24T15:37:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Herpetofauna occupancy and community composition along a tidal swamp salinity gradient","docAbstract":"Occupancy patterns of herpetofauna in most tidal freshwater swamps are unknown. Tidal freshwater swamps currently face multiple threats, including salinization, which can influence their associated plant and animal communities. The impacts of salinization to herpetofauna communities in tidal freshwater swamps have not been assessed. To improve predictions regarding these herpetofauna, we conducted surveys in tidal freshwater swamps of the Savannah National Wildlife Refuge located in South Carolina, USA, from March to June, 2016 and 2017, using a variety of methods. Goals included inventorying species, determining communities, examining microhabitat associations, and modeling occupancy to predict the impacts of salinity changes. We detected 8 species of amphibians and 12 species of reptiles in our surveys. Community analyses failed to detect patterns related to measured environmental variables. Species richness and diversity declined along the salinity gradient, but the observed patterns did not match our predictions and may instead be related to site-level heterogeneity. Microhabitat associations were detected for two amphibian species via occupancy analyses. Occupancy and regression analyses indicated soil salinity may be a factor affecting nine species’ occurrences. Amphibian detections may be affected by water depth, pH values, and weather conditions. These results expand our understanding of herpetofauna within an understudied, and threatened, wetland type.","language":"English","publisher":"Springer","doi":"10.1007/s13157-019-01260-w","usgsCitation":"Godfrey, S., Waddle, J.H., Baldwin, R., Conner, W.H., Bridges, W., and Duberstein, J., 2020, Herpetofauna occupancy and community composition along a tidal swamp salinity gradient: Wetlands, v. 40, p. 1561-1575, https://doi.org/10.1007/s13157-019-01260-w.","productDescription":"15 p.","startPage":"1561","endPage":"1575","ipdsId":"IP-103495","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":458006,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-019-01260-w","text":"Publisher Index Page"},{"id":372026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Savannah National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.15119934082031,\n 32.02903481873586\n ],\n [\n -80.88890075683594,\n 32.02903481873586\n ],\n [\n -80.88890075683594,\n 32.27378066442218\n ],\n [\n -81.15119934082031,\n 32.27378066442218\n ],\n [\n -81.15119934082031,\n 32.02903481873586\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Godfrey, Sidney T","contributorId":222188,"corporation":false,"usgs":false,"family":"Godfrey","given":"Sidney T","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":781475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. 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We mapped tidal wetland gross primary production (GPP) with unprecedented detail for multiple wetland types across the continental United States (CONUS) at 16‐day intervals for the years 2000–2019. To accomplish this task, we developed the spatially explicit Blue Carbon (BC) model, which combined tidal wetland cover and field‐based eddy covariance tower data into a single Bayesian framework, and used a super computer network and remote sensing imagery (Moderate Resolution Imaging Spectroradiometer Enhanced Vegetation Index). We found a strong fit between the BC model and eddy covariance data from 10 different towers (r2 = 0.83, p < 0.001, root‐mean‐square error = 1.22 g C/m2/day, average error was 7% with a mean bias of nearly zero). When compared with NASA's MOD17 GPP product, which uses a generalized terrestrial algorithm, the BC model reduced error by approximately half (MOD17 had r2 = 0.45, p < 0.001, root‐mean‐square error of 3.38 g C/m2/day, average error of 15%). The BC model also included mixed pixels in areas not covered by MOD17, which comprised approximately 16.8% of CONUS tidal wetland GPP. Results showed that across CONUS between 2000 and 2019, the average daily GPP per m2 was 4.32 ± 2.45 g C/m2/day. The total annual GPP for the CONUS was 39.65 ± 0.89 Tg C/year. GPP for the Gulf Coast was nearly double that of the Atlantic and Pacific Coasts combined. Louisiana alone accounted for 15.78 ± 0.75 Tg C/year, with its Atchafalaya/Vermillion Bay basin at 4.72 ± 0.14 Tg C/year. The BC model provides a robust platform for integrating data from disparate sources and exploring regional trends in GPP across tidal wetlands.

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R.","contributorId":222960,"corporation":false,"usgs":false,"family":"Schafer","given":"K.","email":"","middleInitial":"V. R.","affiliations":[],"preferred":false,"id":783650,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Bianchi, T.S.","contributorId":90500,"corporation":false,"usgs":true,"family":"Bianchi","given":"T.S.","email":"","affiliations":[],"preferred":false,"id":783651,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Hutchings, J. A.","contributorId":222961,"corporation":false,"usgs":false,"family":"Hutchings","given":"J. A.","affiliations":[],"preferred":false,"id":783652,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Nahrawi, H.","contributorId":222962,"corporation":false,"usgs":false,"family":"Nahrawi","given":"H.","email":"","affiliations":[],"preferred":false,"id":783653,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Noormets, A.","contributorId":222963,"corporation":false,"usgs":false,"family":"Noormets","given":"A.","email":"","affiliations":[],"preferred":false,"id":783654,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Mitra, B.","contributorId":222964,"corporation":false,"usgs":false,"family":"Mitra","given":"B.","email":"","affiliations":[],"preferred":false,"id":783655,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Jaimes, A.","contributorId":222965,"corporation":false,"usgs":false,"family":"Jaimes","given":"A.","affiliations":[],"preferred":false,"id":783656,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Hinson, A.L.","contributorId":211657,"corporation":false,"usgs":false,"family":"Hinson","given":"A.L.","email":"","affiliations":[{"id":38301,"text":"Department of Ecosystem Science and Management, Texas A&M University, College Station, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":783657,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783658,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"King, J.S.","contributorId":20421,"corporation":false,"usgs":true,"family":"King","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":783659,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Miao, G.","contributorId":222966,"corporation":false,"usgs":false,"family":"Miao","given":"G.","email":"","affiliations":[],"preferred":false,"id":783660,"contributorType":{"id":1,"text":"Authors"},"rank":29}]}} ,{"id":70208960,"text":"70208960 - 2020 - Water tracks enhance water flow above permafrost in upland Arctic Alaska hillslopes","interactions":[],"lastModifiedDate":"2020-03-10T08:25:31","indexId":"70208960","displayToPublicDate":"2020-01-24T08:24:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Water tracks enhance water flow above permafrost in upland Arctic Alaska hillslopes","docAbstract":"Upland permafrost regions occupy approximately one third of the Arctic landscape. In upland regions, hydrologic fluxes are influenced by water tracks, curvilinear features on hillslopes that preferentially fill with and route water in response to snowmelt and rainfall when the soil above continuous permafrost thaws in the summer. As continued warming of the Arctic may alter hydrologic cycling leading to increased frequency of extreme hydrologic events like drought and flooding as well as modification of biogeochemical cycling, it is imperative to untangle the interplay between precipitation, runoff, and subsurface flow as water is routed from upland Arctic regions to the Arctic Ocean. This study quantifies how ground surface temperatures affect groundwater discharge from hillslopes with water tracks in the upland Arctic by employing a three-dimensional, physically based subsurface flow model with variable saturation and freeze and thaw capabilities that is calibrated to field measurements from the Upper Kuparuk River watershed on the North Slope of Alaska, USA. Model analysis indicates that higher ground surface temperatures along water track hillslopes promote increases in groundwater discharge where water tracks act as conduits for large recharge events and continue to discharge groundwater into the autumn after the adjacent hillslope has frozen. Simulating the conditions that distinguish water tracks from their hillslope watersheds changes subsurface water storage and ground thermal responses but does not alter the total magnitude of groundwater discharge outside of parameter uncertainty. These findings suggest that water tracks play a complex and critical role in hydrologic cycles of the upland Arctic.","language":"English","publisher":"Wiley","doi":"10.1029/2019JF005256","usgsCitation":"Evans, S.G., Godsey, S., Rushlow, C.R., and Voss, C., 2020, Water tracks enhance water flow above permafrost in upland Arctic Alaska hillslopes: Journal of Geophysical Research F: Earth Surface, v. 125, no. 2, e2019JF005256, https://doi.org/10.1029/2019JF005256.","productDescription":"e2019JF005256","ipdsId":"IP-114552","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":458014,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jf005256","text":"Publisher Index Page"},{"id":373038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -161.015625,\n 66.6181218846659\n ],\n [\n -140.80078125,\n 66.68778386116203\n ],\n [\n -141.328125,\n 70.05059634999759\n ],\n [\n -157.1484375,\n 71.71888229713917\n ],\n [\n -162.509765625,\n 70.95969716686398\n ],\n [\n -167.34375,\n 68.8159271333607\n ],\n [\n -166.2890625,\n 68.0404612590484\n ],\n [\n -162.509765625,\n 66.40795547978848\n ],\n [\n -161.015625,\n 66.6181218846659\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, Sarah G.","contributorId":203464,"corporation":false,"usgs":false,"family":"Evans","given":"Sarah","email":"","middleInitial":"G.","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":784202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godsey, Sarah E","contributorId":223120,"corporation":false,"usgs":false,"family":"Godsey","given":"Sarah E","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":784203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rushlow, Caitlin R","contributorId":223121,"corporation":false,"usgs":false,"family":"Rushlow","given":"Caitlin","email":"","middleInitial":"R","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":784204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voss, Clifford I. 0000-0001-5923-2752","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":211844,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":784201,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70208007,"text":"70208007 - 2020 - Dilution and propagation of provenance trends in sand and mud: Geochemistry and detrital zircon geochronology of modern sediment from central California (U.S.A.)","interactions":[],"lastModifiedDate":"2020-01-27T06:24:22","indexId":"70208007","displayToPublicDate":"2020-01-24T06:38:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":732,"text":"American Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Dilution and propagation of provenance trends in sand and mud: Geochemistry and detrital zircon geochronology of modern sediment from central California (U.S.A.)","docAbstract":"Integrated, multi-method provenance studies of siliciclastic sedimentary deposits are increasingly used to reconstruct the history of source-to-sink transport, paleogeography, and tectonics. Invariably, analysis of large-scale depositional systems must confront issues regarding how to best sample the system and adequately cope with the details of sediment mixing. Potential biases including variations in grain size, sediment flux, and zircon concentration may cause provenance tracking tools to misrepresent the contributions of source-areas that contribute to large drainage networks. We have acquired U-Pb detrital zircon data from modern sand and whole rock geochemistry from mud sampled from the Sacramento-San Joaquin drainage of central California to elucidate conditions that can skew provenance trends along the course of a major river system. This drainage network is fed by headwaters that tap the Mesozoic pluton-dominated southern Sierra Nevada, the Paleozoic-Mesozoic wallrock and volcanic-dominated northern Sierra Nevada, the ultramafic-dominated eastern Klamath Mountains, and the intermediate to mafic Cascades volcanic arc. Analysis of the results indicates that detrital zircon provenance trends effectively record source variations for the southern, granite-dominated portion of the drainage network where contrasts in lithology and inferred zircon fertility are relatively minor. In these circumstances, mixture modeling of U-Pb detrital zircon data calibrated with a measure of zircon fertility approximates relative sediment flux contributed by individual drainages. Alternatively, in the northern parts of the system, source regions underlain by ultramafic and /or volcanic rocks are poorly represented, or entirely missing, in down-stream detrital zircon records. In some cases, mud geochemistry data more faithfully represents sediment provenance trends.\nSampling performed at the confluence of the Sacramento, American, Mokolumne, and San Joaquin rivers within the Sacramento Delta region yields a detrital zircon age distribution that is indistinguishable from that of an independently established database of Sierra Nevada batholith crystallization ages. However, when the combined river flows along a recently established passage to the Pacific through the San Francisco Bay region, dredged sediment is found to be significantly contaminated by locally eroded material from the Franciscan Complex and other rocks that crop out within the Coast Ranges. Large variation of Zr concentrations measured throughout the Bay area document that significant hydrodynamic fractionation impacts sediment delivery through this segment of the system. The more Sierra Nevada-like detrital zircon age distribution yielded by a piston-core sample from the continental slope may be explained by either early-stage unroofing of the Coast Ranges or more efficient sand delivery from the delta to the Pacific by a free flowing river driven by a low stand in sea level.","language":"English","publisher":"AJS","doi":"10.2475/10.2019.02","usgsCitation":"Malkowski, M., Sharman, G.R., Johnstone, S., Grove, M.J., Kimbrough, D.L., and Graham, S.A., 2020, Dilution and propagation of provenance trends in sand and mud: Geochemistry and detrital zircon geochronology of modern sediment from central California (U.S.A.): American Journal of Science, v. 319, p. 846-902, https://doi.org/10.2475/10.2019.02.","productDescription":"57 p.","startPage":"846","endPage":"902","ipdsId":"IP-101193","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":371511,"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 -122.34374999999999,\n 41.31082388091818\n ],\n [\n -123.0908203125,\n 41.21172151054787\n ],\n [\n -123.26660156249999,\n 39.9434364619742\n ],\n [\n -122.431640625,\n 38.71980474264237\n ],\n [\n -121.86035156249999,\n 37.64903402157866\n ],\n [\n -121.11328124999999,\n 36.38591277287651\n ],\n [\n -119.92675781249999,\n 35.17380831799959\n ],\n [\n -119.00390625,\n 34.56085936708384\n ],\n [\n -118.21289062499999,\n 34.56085936708384\n ],\n [\n -118.65234374999999,\n 36.38591277287651\n ],\n [\n -119.970703125,\n 38.09998264736481\n ],\n [\n -121.46484375,\n 40.1452892956766\n ],\n [\n -122.34374999999999,\n 41.31082388091818\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"319","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Malkowski, Matthew A.","contributorId":221753,"corporation":false,"usgs":false,"family":"Malkowski","given":"Matthew A.","affiliations":[{"id":40415,"text":". Department of Geological Sciences, Stanford University, Stanford CA 94305","active":true,"usgs":false}],"preferred":false,"id":780126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharman, Glenn R.","contributorId":196537,"corporation":false,"usgs":false,"family":"Sharman","given":"Glenn","email":"","middleInitial":"R.","affiliations":[{"id":34621,"text":"Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, USA","active":true,"usgs":false}],"preferred":false,"id":780127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnstone, Samuel 0000-0002-3945-2499","orcid":"https://orcid.org/0000-0002-3945-2499","contributorId":207545,"corporation":false,"usgs":true,"family":"Johnstone","given":"Samuel","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":780310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grove, Marty J.","contributorId":221754,"corporation":false,"usgs":false,"family":"Grove","given":"Marty","email":"","middleInitial":"J.","affiliations":[{"id":40416,"text":"Department of Geological Sciences, Stanford University, Stanford CA 94305","active":true,"usgs":false}],"preferred":false,"id":780128,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kimbrough, Dave L.","contributorId":221755,"corporation":false,"usgs":false,"family":"Kimbrough","given":"Dave","email":"","middleInitial":"L.","affiliations":[{"id":40417,"text":"Department of Geological Sciences, San Diego State University, San Diego, CA 92182","active":true,"usgs":false}],"preferred":false,"id":780129,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graham, Stephen A.","contributorId":221756,"corporation":false,"usgs":false,"family":"Graham","given":"Stephen","email":"","middleInitial":"A.","affiliations":[{"id":40416,"text":"Department of Geological Sciences, Stanford University, Stanford CA 94305","active":true,"usgs":false}],"preferred":false,"id":780130,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208020,"text":"70208020 - 2020 - Binning singletons: Mentoring through networking at ASM microbe 2019","interactions":[],"lastModifiedDate":"2020-01-24T06:34:05","indexId":"70208020","displayToPublicDate":"2020-01-24T06:33:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5160,"text":"mSphere","active":true,"publicationSubtype":{"id":10}},"title":"Binning singletons: Mentoring through networking at ASM microbe 2019","docAbstract":"The American Society for Microbiology (ASM) national conference, Microbe, is the flagship meeting for microbiologists across the globe. The presence of roughly 10,000 attendees provides enormous opportunities for networking and learning. However, such a large meeting can be intimidating to many, especially early career scientists, students, those attending alone, and those from historically underrepresented groups. While mentorship is widely valued by ASM and its members, finding concrete ways to develop new and diverse mentoring opportunities can be a challenge. We recognized the need for an initiative aimed at expanding peer-to-peer mentoring, facilitating networking, and providing support for Microbe attendees; therefore, we created the program Binning Singletons for ASM Microbe 2019. The program consisted of five steps named after tools or phenomena in the profession of microbiology: (i) Identify the Singletons (e.g., individuals attending alone), (ii) Bin the Singletons, (iii) Horizontal Transfer, (iv) Quorum Sensing, and (v) Exponential Growth. These steps resulted in the matching of participants unsure of how to get the most out of their conference experience (e.g., singletons) with mentors who assisted with meeting planning, networking, and/or impostor syndrome. Started on social media only a month before ASM Microbe 2019, the program successfully launched despite limited time and resources. Binning Singletons improved inclusivity and networking opportunities for participants at the conference. Here, we discuss what worked, and what can be improved, with an eye toward development of the Binning Singletons model for future conferences to provide opportunities to increase inclusivity, networking, and accessibility for singletons and build a stronger scientific community.","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/mSphere.00643-19","usgsCitation":"James, J.B., Gunn, A.L., and Akob, D., 2020, Binning singletons: Mentoring through networking at ASM microbe 2019: mSphere, no. 5, e00643-19, 8 p., https://doi.org/10.1128/mSphere.00643-19.","productDescription":"e00643-19, 8 p.","ipdsId":"IP-111459","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":458029,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/msphere.00643-19","text":"Publisher Index Page"},{"id":371509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"James, Joseph B.","contributorId":221772,"corporation":false,"usgs":false,"family":"James","given":"Joseph","email":"","middleInitial":"B.","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":780168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gunn, Amanda L.","contributorId":221773,"corporation":false,"usgs":false,"family":"Gunn","given":"Amanda","email":"","middleInitial":"L.","affiliations":[{"id":40424,"text":"Grays Harbor College","active":true,"usgs":false}],"preferred":false,"id":780169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akob, Denise M. 0000-0003-1534-3025","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":204701,"corporation":false,"usgs":true,"family":"Akob","given":"Denise M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":780167,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208228,"text":"70208228 - 2020 - Molecular sequencing and morphological identification reveal similar patterns in native bee communities across public and private grasslands of eastern North Dakota","interactions":[],"lastModifiedDate":"2020-01-31T10:52:33","indexId":"70208228","displayToPublicDate":"2020-01-23T10:14:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Molecular sequencing and morphological identification reveal similar patterns in native bee communities across public and private grasslands of eastern North Dakota","docAbstract":"Bees play a key role in the functioning of human-modified and natural ecosystems by pollinating agricultural crops and wild plant communities. Global pollinator conservation efforts need large-scale and long-term monitoring to detect changes in species’ demographic patterns and shifts in bee community structure. The objective of this project was to test a molecular sequencing pipeline that would utilize a commonly used locus, produce accurate and precise identifications consistent with morphological identifications, and generate data that are both qualitative and quantitative. We applied this amplicon sequencing pipeline to native bee communities sampled across Conservation Reserve Program (CRP) lands and native grasslands in eastern North Dakota. We found the 28S LSU locus to be more capable of discriminating between species than the 18S SSU rRNA locus, and in some cases even resolved instances of cryptic species or morphologically ambiguous species complexes. Overall, we found the amplicon sequencing method to be a qualitatively accurate representation of the sampled bee community richness and species identity, especially when a well-curated database of known 28S LSU sequences is available. Both morphological identification and molecular sequencing revealed similar patterns in native bee community structure across CRP lands and native prairie. Additionally, a genetic algorithm approach to compute taxon-specific correction factors using a small subset of the most concordant samples demonstrated that a high level of quantitative accuracy could be possible if the specimens are fresh and processed soon after collection. Here we provide a first step to a molecular pipeline for identifying insect pollinator communities. This tool should prove useful for future national monitoring efforts as use of molecular tools becomes more affordable and as numbers of 28S LSU sequences for pollinator species increase in publicly-available databases.","language":"English","publisher":"Plos One","doi":"10.1371/journal.pone.0227918","usgsCitation":"Darby, B., Bryant, R., Keller, A., Jochim, M., Moe, J., Schreiner, Z., Pratt, C., Euliss, N., Park, M., Simmons, R., and Otto, C., 2020, Molecular sequencing and morphological identification reveal similar patterns in native bee communities across public and private grasslands of eastern North Dakota: PLoS ONE, v. 15, no. 1, e0227918, 22 p., https://doi.org/10.1371/journal.pone.0227918.","productDescription":"e0227918, 22 p.","ipdsId":"IP-112694","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":458036,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Mia","contributorId":222059,"corporation":false,"usgs":false,"family":"Park","given":"Mia","email":"","affiliations":[{"id":40486,"text":"UND","active":true,"usgs":false}],"preferred":false,"id":781062,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Simmons, Rebecca","contributorId":222060,"corporation":false,"usgs":false,"family":"Simmons","given":"Rebecca","email":"","affiliations":[{"id":40486,"text":"UND","active":true,"usgs":false}],"preferred":false,"id":781063,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":781056,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70227267,"text":"70227267 - 2020 - Pallid sturgeon seasonal habitat selection in a large free-flowing river, the lower Mississippi River","interactions":[],"lastModifiedDate":"2022-01-06T15:20:14.833724","indexId":"70227267","displayToPublicDate":"2020-01-23T09:11:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Pallid sturgeon seasonal habitat selection in a large free-flowing river, the lower Mississippi River","docAbstract":"

Pallid sturgeon Scaphirhynchus albus (Forbes & Richardson, 1905, Bulletin of the Illinois State Laboratory of Natural History, 1905, 7, 37) are an endangered riverine sturgeon native to the Mississippi and Missouri rivers, and declining numbers have been attributed to multiple stressors, including habitat loss and alteration. The lower Mississippi River provides a useful context to assess pallid sturgeon habitat selection because, although altered for flood control and navigation, it provides a free-flowing system with a diversity of habitats and a minimally altered hydrograph. A discrete choice model of data collected year-round from two reaches for 3–5 years revealed changes in habitat selection across water temperatures and river stages representative of seasonal variation in habitat for 116 telemetry-tagged pallid sturgeon. Natural bank, island tip, and secondary channel were positively selected and main channel, although frequently used, was avoided. The degree of selection varied among river stages, water temperatures, and reaches. Habitat selection appears to be strongly influenced by preference for locations with moderate depth (median 11.7 m; lower and upper quartiles 8.1 m and 16.3 m) and moderate current velocity (median 0.9 m/s; lower and upper quartiles 0.7 m/s and 1.2 m/s).

","language":"English","publisher":"Wiley","doi":"10.1111/jai.14000","usgsCitation":"Kroboth, P., Hann, D., Colvin, M.E., Hartfield, P.D., and Schramm, H.L., 2020, Pallid sturgeon seasonal habitat selection in a large free-flowing river, the lower Mississippi River: Journal of Applied Ichthyology, v. 36, no. 2, p. 131-141, https://doi.org/10.1111/jai.14000.","productDescription":"11 p.","startPage":"131","endPage":"141","ipdsId":"IP-107888","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":458041,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.14000","text":"Publisher Index Page"},{"id":437144,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P915GGE","text":"USGS data release","linkHelpText":"Pallid sturgeon seasonal habitat selection in a large free-flowing river, the lower Mississippi River, 2009-2015-Data"},{"id":393959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Louisiana, Mississippi","otherGeospatial":"lower Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.779296875,\n 29.22889003019423\n ],\n [\n -86.66015624999999,\n 29.22889003019423\n ],\n [\n -86.66015624999999,\n 36\n ],\n [\n -93.779296875,\n 36\n ],\n [\n -93.779296875,\n 29.22889003019423\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kroboth, P. T.","contributorId":270951,"corporation":false,"usgs":false,"family":"Kroboth","given":"P. T.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":830204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hann, D. A.","contributorId":270952,"corporation":false,"usgs":false,"family":"Hann","given":"D. A.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":830205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colvin, M. E.","contributorId":270953,"corporation":false,"usgs":false,"family":"Colvin","given":"M.","email":"","middleInitial":"E.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":830206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartfield, P. D.","contributorId":270954,"corporation":false,"usgs":false,"family":"Hartfield","given":"P.","email":"","middleInitial":"D.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":830207,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schramm, H. L. 0000-0002-0927-3414","orcid":"https://orcid.org/0000-0002-0927-3414","contributorId":270955,"corporation":false,"usgs":false,"family":"Schramm","given":"H.","email":"","middleInitial":"L.","affiliations":[{"id":54519,"text":"U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":830208,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70209031,"text":"70209031 - 2020 - Response to terrestrial nest predators among endemic and introduced Hawaiian birds","interactions":[],"lastModifiedDate":"2020-03-12T08:00:36","indexId":"70209031","displayToPublicDate":"2020-01-23T07:58:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Response to terrestrial nest predators among endemic and introduced Hawaiian birds","docAbstract":"Birds free from nest predators for long periods may either lose the ability to recognize and respond to predators or retain antipredator responses if they are not too costly. How these alternate scenarios play out has rarely been investigated in an avian community whose members have different evolutionary histories. We presented models of two nest predators (rat and snake) and a negative control (tree branch) to birds on Hawaiʻi Island. Endemic Hawaiian birds evolved in the absence of terrestrial predators until rats were introduced approximately 1,000 years ago. Introduced birds evolved with diverse predator communities including mammals and snakes, but since their introduction onto the island approximately one century ago have been free from snake predation. We found that (a) endemic and introduced birds had higher agitation scores toward the rat model compared with the branch, and (b) none of the endemic birds reacted to the snake model, while one introduced bird, the Red-billed Leiothrix\n(Leiothrix lutea), reacted as strongly to the snake as to the rat. Overall, endemic and introduced birds differ in their response to predators, but some endemic birds have the capacity to recognize and respond to introduced rats, and one introduced bird species retained recognition of snake predators from which they had been free for nearly a century, while another apparently lost that ability. Our results indicate that the retention or loss of predator recognition by introduced and endemic island birds is variable, shaped by each species' unique history, ecology, and the potential interplay of genetic drift, and that endemic Hawaiian birds could be especially vulnerable to introduced snake predators.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6021","usgsCitation":"Cummins, G.C., Theimer, T.C., and Paxton, E., 2020, Response to terrestrial nest predators among endemic and introduced Hawaiian birds: Ecology and Evolution, v. 10, no. 4, p. 1949-1958, https://doi.org/10.1002/ece3.6021.","productDescription":"10 p.","startPage":"1949","endPage":"1958","ipdsId":"IP-109470","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":458044,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6021","text":"Publisher Index 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\"}}]}","volume":"10","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Cummins, George C","contributorId":140011,"corporation":false,"usgs":false,"family":"Cummins","given":"George","email":"","middleInitial":"C","affiliations":[{"id":13355,"text":"Volunteer, USGS Pacific Island Ecosystems Research Center","active":true,"usgs":false}],"preferred":false,"id":784586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Theimer, Tad C 0000-0002-4565-8661","orcid":"https://orcid.org/0000-0002-4565-8661","contributorId":223213,"corporation":false,"usgs":false,"family":"Theimer","given":"Tad","email":"","middleInitial":"C","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":784587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":784585,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70207156,"text":"ofr20191140 - 2020 - Seafloor change around the Mississippi barrier islands, 1920 to 2016—The influence of storm effects on inlet and island morphodynamics","interactions":[],"lastModifiedDate":"2020-01-22T08:46:35","indexId":"ofr20191140","displayToPublicDate":"2020-01-22T09:50:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1140","displayTitle":"Seafloor Change Around the Mississippi Barrier Islands, 1920 to 2016—The Influence of Storm Effects on Inlet and Island Morphodynamics","title":"Seafloor change around the Mississippi barrier islands, 1920 to 2016—The influence of storm effects on inlet and island morphodynamics","docAbstract":"

The Mississippi Barrier Islands in the northern Gulf of Mexico experienced high rates of spatial change over recorded history. Wave-induced sediment transport induced island migration, landward retreat, and inlet evolution. These processes can be measured using repeat bathymetric surveys to analyze elevation change over time. This study analyzes digital elevation models created from three time periods where bathymetric data have been collected: the 1920s, 2009, and 2016. The models are compared to assess volumetric change between surveys and characterize morphologic responses to natural and human-influenced processes. Although all the islands within the study area experienced a loss of area over the period of study, the nearshore and tidal inlets experience both accretion and erosion that vary spatially and temporally. Major morphologic changes include westward island migration, expanding ebb-tidal deltas, and changes in inlet dimensions. This study is a collaboration between the U.S. Geological Survey, the U.S. Army Corps of Engineers, and the National Park Service to establish baseline physical and pre-restoration morphologic conditions preceding a major restoration of the islands as part of the Mississippi Coastal Improvement Project.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191140","usgsCitation":"Flocks, J.G., Buster, N.A., and Brenner, O.T., 2020, Seafloor change around the Mississippi barrier islands, 1920 to 2016—The influence of storm effects on inlet and island morphodynamics: U.S. Geological Survey Open-File Report 2019–1140, 23 p., https://doi.org/10.3133/ofr20191140.","productDescription":"vi, 23 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-106950","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":371197,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1140/coverthb.jpg"},{"id":371199,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1140/ofr20191140.pdf","text":"Report","size":"7.72 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1140"}],"country":"United States","otherGeospatial":"Mississippi barrier islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.91113281249999,\n 28.76765910569123\n ],\n [\n -87.4951171875,\n 28.76765910569123\n ],\n [\n -87.4951171875,\n 30.977609093348686\n ],\n [\n -93.91113281249999,\n 30.977609093348686\n ],\n [\n -93.91113281249999,\n 28.76765910569123\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-01-15","noUsgsAuthors":false,"publicationDate":"2020-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Flocks, James 0000-0002-6177-7433","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":221107,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":777014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buster, Noreen A. 0000-0001-5069-9284","orcid":"https://orcid.org/0000-0001-5069-9284","contributorId":221108,"corporation":false,"usgs":true,"family":"Buster","given":"Noreen A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":777015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenner, Owen T. 0000-0002-1588-721X","orcid":"https://orcid.org/0000-0002-1588-721X","contributorId":210639,"corporation":false,"usgs":false,"family":"Brenner","given":"Owen T.","affiliations":[],"preferred":false,"id":777016,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208311,"text":"70208311 - 2020 - Evaluation of hydrologic impact of an irrigation curtailment program in the Upper Klamath Lake Basin using Landsat satellite data","interactions":[],"lastModifiedDate":"2020-05-05T16:44:59.832545","indexId":"70208311","displayToPublicDate":"2020-01-22T07:27:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of hydrologic impact of an irrigation curtailment program in the Upper Klamath Lake Basin using Landsat satellite data","docAbstract":"Upper Klamath Lake (UKL) is the source of the Klamath river that flows through southern Oregon and northern California. The UKL basin is home to two endangered species and provides water for 81,000+ ha (200,000+ acres) of irrigation on the United States Bureau of Reclamation (USBR) Klamath Project located downstream of the UKL basin. Irrigated agriculture also occurs along the tributaries to UKL. During 2013–2016, water right calls resulted in various levels of curtailment of irrigation diversions from the tributaries to UKL. However, information on the extent of curtailment, how much irrigation water was saved, and its impact on the UKL is unknown. In this study, we combined Landsat-based actual evapotranspiration (ETa) data obtained from the Operational Simplified Surface Energy Balance (SSEBop) model with gridded precipitation and USGS station discharge data to evaluate the hydrologic impact of the curtailment program. Analysis was performed for five base years (2004, 2006, 2008-2010) and four target years (2013-2016) over irrigated areas above UKL. Our results indicated that the impact of the curtailment program over the June to September time-period was highest during 2013 and declined in each of the following years. The total on-field water savings were approximately 60 hm3 in 2013 and 2014, 44 hm3 in 2015, and 32 hm3 in 2016. The instream water flow change or extra water available (EWA) were found at 92, 68, 45, and 26 hm3 respectively for 2013, 2014, 2015 and 2016. Most water savings came from pasture and wetlands. Alfalfa showed the most decline in water use among grain crops. The resulting EWA from the curtailment contributed to a maximum of 19% of the lake inflows and 50% of the lake volume. This study presents the use of Landsat-based ETa and other remote sensing datasets for evaluating water-related impacts of the irrigation curtailment program.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13708","usgsCitation":"Velpuri, N., Senay, G., Schauer, M., Garcia, C.A., Singh, R., Friedrichs, M., Bohms, S., Haynes, J.V., and Conlon, T.D., 2020, Evaluation of hydrologic impact of an irrigation curtailment program in the Upper Klamath Lake Basin using Landsat satellite data: Hydrological Processes, v. 34, no. 8, p. 1697-1713, https://doi.org/10.1002/hyp.13708.","productDescription":"17 p.","startPage":"1697","endPage":"1713","ipdsId":"IP-111134","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":458053,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13708","text":"Publisher Index Page"},{"id":437147,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BC38CL","text":"USGS data release","linkHelpText":"Assessing the impact of irrigation curtailment using Landsat satellite data: A case study in the Upper Klamath Lake basin"},{"id":371987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"California, Oregon","otherGeospatial":"Upper Klamath Lake Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.42041015624999,\n 40.76806170936614\n ],\n [\n -119.94323730468749,\n 40.76806170936614\n ],\n [\n -119.94323730468749,\n 43.205175817237304\n ],\n [\n -123.42041015624999,\n 43.205175817237304\n ],\n [\n -123.42041015624999,\n 40.76806170936614\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":216911,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga Manohar ","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":781360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":216910,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":781361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schauer, Matthew 0000-0002-4198-3379","orcid":"https://orcid.org/0000-0002-4198-3379","contributorId":216909,"corporation":false,"usgs":true,"family":"Schauer","given":"Matthew","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":781362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, C. Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":1899,"corporation":false,"usgs":true,"family":"Garcia","given":"C.","email":"cgarcia@usgs.gov","middleInitial":"Amanda","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Singh, Ramesh 0000-0002-8164-3483","orcid":"https://orcid.org/0000-0002-8164-3483","contributorId":216912,"corporation":false,"usgs":false,"family":"Singh","given":"Ramesh ","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":781364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friedrichs, MacKenzie 0000-0002-9602-321X","orcid":"https://orcid.org/0000-0002-9602-321X","contributorId":216914,"corporation":false,"usgs":true,"family":"Friedrichs","given":"MacKenzie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":781365,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bohms, Stefanie 0000-0002-2979-4655 sbohms@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":3148,"corporation":false,"usgs":true,"family":"Bohms","given":"Stefanie","email":"sbohms@usgs.gov","affiliations":[{"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":781359,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haynes, Jonathan V. 0000-0001-6530-6252 jhaynes@usgs.gov","orcid":"https://orcid.org/0000-0001-6530-6252","contributorId":3113,"corporation":false,"usgs":true,"family":"Haynes","given":"Jonathan","email":"jhaynes@usgs.gov","middleInitial":"V.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781366,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Conlon, Terrence D. 0000-0002-5899-7187 tdconlon@usgs.gov","orcid":"https://orcid.org/0000-0002-5899-7187","contributorId":819,"corporation":false,"usgs":true,"family":"Conlon","given":"Terrence","email":"tdconlon@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781367,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70236892,"text":"70236892 - 2020 - Revision of Boore (2018) Ground‐motion predictions for Central and Eastern North America: Path and offset adjustments and extension to 200 m/s <= Vs30 <= 3000 m/s","interactions":[],"lastModifiedDate":"2022-09-21T12:13:16.1024","indexId":"70236892","displayToPublicDate":"2020-01-22T07:08:45","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Revision of Boore (2018) Ground‐motion predictions for Central and Eastern North America: Path and offset adjustments and extension to 200 m/s <= Vs30 <= 3000 m/s","docAbstract":"

The three sets of ground‐motion predictions (GMPs) of Boore (2018; hereafter, B18) are compared with a much larger dataset than was used in deriving the predictions. The B18 GMPs work well for response spectra at periods between &#x223C;0.15\">∼0.15∼0.15 and 4.0 s after an adjustment accounting for a path bias at distances beyond 200 km—this was the maximum distance used to derive the stress parameters on which the simulations in B18 are based. An additional offset adjustment is needed in the B18 predictions for short and long periods. The adjustment at short periods may be because the &#x3BA;0\">κ0κ0 of 0.006 s stipulated by the Next Generation Attenuation‐East (NGA‐East) project to be used in deriving the GMPs is inconsistent with the observations on rock sites. The explanation for the offset adjustment at long periods is not clear, but it could be a combination of limitations of the point‐source stochastic model for longer period motions, as well as a decreasing number of observations at longer periods available to constrain the simulations on which the predictions are based.

The predictions of B18, developed for very‐hard‐rock sites (⁠VS30\">VS30VS30 of 2000 and 3000&#x2009;&#x2009;m/s\">3000  m/s3000  m/s⁠), have here been extended down to VS30\">VS30VS30 values as low as 200&#x2009;&#x2009;m/s\">200  m/s200  m/s⁠. I find, as have others, that for a given VS30\">VS30VS30⁠, there is generally less site amplification for central and eastern North America (CENA) than for the active crustal region dataset used for the Boore, Stewart, et al. (2014; hereafter, BSSA14) GMP equations. This might have an impact on conclusions of several previous studies of CENA GMPs that used the site amplifications in BSSA14 in comparing data and predictions.

An additional finding is that the &#x3BA;0\">κ0κ0 implied by recordings on a subset of stations in the Charlevoix region located on rock (data from these stations were not used in the analysis described earlier) is more consistent with a value near 0.014 s than the 0.006 s value used in B18 and the NGA‐East project.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190190","usgsCitation":"Boore, D., 2020, Revision of Boore (2018) Ground‐motion predictions for Central and Eastern North America: Path and offset adjustments and extension to 200 m/s <= Vs30 <= 3000 m/s: Seismological Research Letters, v. 91, no. 2A, p. 977-991, https://doi.org/10.1785/0220190190.","productDescription":"15 p.","startPage":"977","endPage":"991","ipdsId":"IP-108593","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.546875,\n 24.367113562651262\n ],\n [\n -65.7421875,\n 24.367113562651262\n ],\n [\n -49.04296875,\n 53.64463782485651\n ],\n [\n -101.6015625,\n 56.46249048388979\n ],\n [\n -100.546875,\n 24.367113562651262\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"91","issue":"2A","noUsgsAuthors":false,"publicationDate":"2020-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":852477,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70208340,"text":"70208340 - 2020 - Fire history across forest types in the southern Beartooth Mountains, Wyoming","interactions":[],"lastModifiedDate":"2020-02-04T17:57:16","indexId":"70208340","displayToPublicDate":"2020-01-21T17:26:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3650,"text":"Tree-Ring Research","onlineIssn":"2162-4585","printIssn":"1536-1098","active":true,"publicationSubtype":{"id":10}},"title":"Fire history across forest types in the southern Beartooth Mountains, Wyoming","docAbstract":"

Fire is a critical ecosystem process that has played a key role in shaping forests throughout the Beartooth Mountains in northwestern Wyoming. The highly variable topography of the area provides ideal conditions to compare fire regimes across contiguous forest types, yet pyro-dendrochronological research in this area is limited. We reconstructed fire frequency, tree age structure, and post-fire tree growth response in the Clarks Fork Ranger District of the Shoshone National Forest to infer variations in historical fire behavior and stand effects. We collected fire-scarred trees and plot-based tree ages on plots ranging 0.5-5 km2 in size across two forest types separated by 2 km: a lower-elevation forest of mixed Douglas-fir and lodgepole pine and a higher elevation treeline forest dominated by whitebark pine. Fires occurred in the lower-elevation forest in 1664, 1706, 1785, 1804, 1846, and 1900 with a mean fire return interval of 47 years. The fires in 1804 and 1900 were also recorded in the higher elevation forest, with significant tree mortality at high elevation in the 1900 fire. Both forests were multi-aged with little evidence of tree cohorts in response to severe, stand-replacing events. On average, tree growth increased after fires, with mean ring widths after fire 39% wider in Douglas-fir and 40% wider in lodgepole pine than pre-fire averages, suggesting that some tree mortality likely occurred in association with lower-elevation forest fires. Burns were more frequent in the lower-elevation forest and were occasionally able to spread into the upper-elevation whitebark stand. Although we suspect the transition of fires from low-to high-elevation occurred during drier years, we did not find any relationship between fire years and available climatic reconstructions via superposed epoch analysis. Regeneration during the 20th Century in the whitebark forest documents recovery of this forest after the 1900 moderate-severity fire event. Finally, especially in the lower-elevation Douglas-fir forest, the period since the last recorded fire (1900) appears to be longer than any fire-free period in the historical record, suggesting that fire exclusion may be creating changes in landscape and patch-scale stand structures, which will likely impact future fire behavior, especially the extent of crown-replacing fire, in these forests.

","language":"English","publisher":"BioONE","doi":"10.3959/TRR2018-11","usgsCitation":"Brown, S., Baysinger, A., Brown, P.M., Cheek, J.L., Diez, J.M., Gentry, C.M., Grant, T.A., St-Jacques, J., Jordan, D., Leef, M.L., Rourke, M.K., Speer, J.H., Spradlin, C.E., Stevens, J., Stone, J.R., Van Winkle, B., and Zeibig-Kichas, N.E., 2020, Fire history across forest types in the southern Beartooth Mountains, Wyoming: Tree-Ring Research, v. 76, no. 1, p. 27-39, https://doi.org/10.3959/TRR2018-11.","productDescription":"13 p.","startPage":"27","endPage":"39","ipdsId":"IP-107650","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":372047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Southern Beartooth Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.66260910034178,\n 44.880201241509404\n ],\n [\n -109.60287094116211,\n 44.880201241509404\n ],\n [\n -109.60287094116211,\n 44.949735226126776\n ],\n [\n -109.66260910034178,\n 44.949735226126776\n ],\n [\n -109.66260910034178,\n 44.880201241509404\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"76","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Sabrina R.","contributorId":222194,"corporation":false,"usgs":false,"family":"Brown","given":"Sabrina R.","affiliations":[],"preferred":false,"id":781487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baysinger, Ashley","contributorId":222195,"corporation":false,"usgs":false,"family":"Baysinger","given":"Ashley","email":"","affiliations":[],"preferred":false,"id":781488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Peter M.","contributorId":81422,"corporation":false,"usgs":true,"family":"Brown","given":"Peter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":781489,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheek, Justin L.","contributorId":222197,"corporation":false,"usgs":false,"family":"Cheek","given":"Justin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":781490,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diez, Jeffrey M.","contributorId":169803,"corporation":false,"usgs":false,"family":"Diez","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":781491,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gentry, Christopher M.","contributorId":222198,"corporation":false,"usgs":false,"family":"Gentry","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":781492,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grant, Thomas A.","contributorId":222199,"corporation":false,"usgs":false,"family":"Grant","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":781493,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"St-Jacques, Jeannine-Marie","contributorId":197562,"corporation":false,"usgs":false,"family":"St-Jacques","given":"Jeannine-Marie","email":"","affiliations":[],"preferred":false,"id":781494,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jordan, David A.","contributorId":222200,"corporation":false,"usgs":false,"family":"Jordan","given":"David A.","affiliations":[],"preferred":false,"id":781495,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Leef, Morgan L.","contributorId":222201,"corporation":false,"usgs":false,"family":"Leef","given":"Morgan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":781496,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rourke, Mary K.","contributorId":222202,"corporation":false,"usgs":false,"family":"Rourke","given":"Mary","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":781497,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Speer, James H.","contributorId":222203,"corporation":false,"usgs":false,"family":"Speer","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":781498,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Spradlin, Carrie E.","contributorId":222204,"corporation":false,"usgs":false,"family":"Spradlin","given":"Carrie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":781499,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Stevens, Jens 0000-0002-2234-1960","orcid":"https://orcid.org/0000-0002-2234-1960","contributorId":222191,"corporation":false,"usgs":true,"family":"Stevens","given":"Jens","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":781480,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Stone, Jeffery R.","contributorId":222205,"corporation":false,"usgs":false,"family":"Stone","given":"Jeffery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":781500,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Van Winkle, Brian","contributorId":222206,"corporation":false,"usgs":false,"family":"Van Winkle","given":"Brian","email":"","affiliations":[],"preferred":false,"id":781501,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Zeibig-Kichas, Nickolas E.","contributorId":222207,"corporation":false,"usgs":false,"family":"Zeibig-Kichas","given":"Nickolas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":781502,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70212638,"text":"70212638 - 2020 - Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard forecasts: Hawaii tectonic earthquakes and volcanic eruptions","interactions":[],"lastModifiedDate":"2020-08-26T21:35:46.52194","indexId":"70212638","displayToPublicDate":"2020-01-21T09:30:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard forecasts: Hawaii tectonic earthquakes and volcanic eruptions","docAbstract":"

The selection and weighting of ground‐motion models (GMMs) introduces a significant source of uncertainty in U.S. Geological Survey (USGS) National Seismic Hazard Modeling Project (NSHMP) forecasts. In this study, we evaluate 18 candidate GMMs using instrumental ground‐motion observations of horizontal peak ground acceleration (PGA) and 5%‐damped pseudospectral acceleration (0.02–10 s) for tectonic earthquakes and volcanic eruptions, to inform logic‐tree weights for the update of the USGS seismic hazard model for Hawaii. GMMs are evaluated using two methods. The first is a total residual visualization approach that compares the probability density function (PDF), mean and standard deviations &#x3C3;\">σ⁠, of the observed and predicted ground motion. The second GMM evaluation method we use is the common total residual probabilistic scoring method (log likelihood [LLH]). The LLH method provides a single score that can be used to weight GMMs in the Hawaii seismic hazard model logic trees. The total residual PDF approach provides additional information by preserving GMM over‐ and underprediction across a broad spectrum of periods that is not available from a single value LLH score. We apply these GMM evaluation methods to two different data sets: (1) a database of instrumental ground motions from historic earthquakes in Hawaii from 1973 to 2007 (⁠Mw\">Mw 4–7.3) and (2) available ground motions from recent earthquakes (⁠Mw\">Mw 4–6.9) associated with 2018 Kilauea eruptions. The 2018 Kilauea sequence contains both volcanic eruptions and tectonic earthquakes allowing for statistically significant GMM comparisons of the two event classes. The Kilauea ground observations provide an independent data set allowing us to evaluate the predictive power of GMMs implemented in the new USGS nshmp‐haz software system. We evaluate GMM performance as a function of earthquake depth and we demonstrate that short‐period volcanic eruption ground motions are not well predicted by any candidate GMMs. Nine of the initial 18 candidate GMMs fit the observed ground motions and meet established criteria for inclusion in the update of the Hawaii seismic hazard model. A weighted mean of four top performing GMMs in this study (NGAsubslab, NGAsubinter, ASK14, A10) is 50% lower for PGA than for GMMS used in the previous USGS seismic hazard model for Hawaii.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180336","usgsCitation":"McNamara, D.E., Wolin, E., Powers, P.M., Shumway, A., Moschetti, M.P., Rekoske, J., Thompson, E.M., Mueller, C., and Petersen, M.D., 2020, Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard forecasts: Hawaii tectonic earthquakes and volcanic eruptions: Bulletin of the Seismological Society of America, v. 110, no. 2, p. 666-688, https://doi.org/10.1785/0120180336.","productDescription":"23 p.","startPage":"666","endPage":"688","ipdsId":"IP-113666","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":437150,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VXB1U6","text":"USGS data release","linkHelpText":"Database of ground motions from tectonic and volcanic events, Hawaii, 2018"},{"id":377922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.896240234375,\n 19.94236918954201\n ],\n [\n -156.32446289062497,\n 21.135745255030603\n ],\n [\n -158.18115234375,\n 21.912470952680266\n ],\n [\n -159.774169921875,\n 22.50240745949775\n ],\n [\n -160.5322265625,\n 21.87169463514272\n ],\n [\n -160.301513671875,\n 21.70847301324597\n ],\n [\n -157.862548828125,\n 20.879342971957897\n ],\n [\n -156.346435546875,\n 20.117839630491634\n ],\n [\n -156.126708984375,\n 18.885497977462876\n ],\n [\n -155.599365234375,\n 18.594188856740413\n ],\n [\n -154.522705078125,\n 19.37334071336406\n ],\n [\n -154.896240234375,\n 19.94236918954201\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"110","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolin, Emily 0000-0003-1610-1191","orcid":"https://orcid.org/0000-0003-1610-1191","contributorId":221834,"corporation":false,"usgs":true,"family":"Wolin","given":"Emily","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powers, Peter M. 0000-0003-2124-6184 pmpowers@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6184","contributorId":176814,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shumway, Allison 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797194,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797195,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rekoske, John 0000-0003-0539-2069","orcid":"https://orcid.org/0000-0003-0539-2069","contributorId":220108,"corporation":false,"usgs":true,"family":"Rekoske","given":"John","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797196,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797197,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mueller, Charles 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":140380,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797198,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797199,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70219058,"text":"70219058 - 2020 - A chemo-mechanical snapshot of in-situ conversion of kerogen to petroleum","interactions":[],"lastModifiedDate":"2021-03-23T14:24:37.492705","indexId":"70219058","displayToPublicDate":"2020-01-21T09:18:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"A chemo-mechanical snapshot of in-situ conversion of kerogen to petroleum","docAbstract":"

Organic matter (OM) from various biogenic origins converts to solid bitumen in-situ when it undergoes thermal maturation. It is well documented that during this process, the ratios of both hydrogen and oxygen to carbon will decrease, resulting in an increase in OM aromaticity and molecular chemo-mechanical homogeneity. Although there have been extensive efforts to reveal molecular alteration occurring to OM during conversion, in-situ and continuous observation of such alterations on naturally occurring samples is missing. Therefore, evaluation of previous results cannot be made independent from natural sample variability. In this study, we identified OM particles (Tasmanites) that are evolving in-situ into solid bitumen in the Bakken Formation. This in-situ bituminization allows examination of a continuous transformation in OM molecular structure at micron-scale using AFM based IR spectroscopy applied at the transition/interface zone. Moreover, contact mode in the AFM was employed to reveal and relate changes in mechanical properties at a similar scale of measurement. Understanding these chemical and mechanical alterations is important to understand shale reservoir properties and better explain hydrocarbon generation, expulsion, and migration processes at the microscale.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2020.01.019","usgsCitation":"Abarghani, A., Ostadhassan, M., Hackley, P.C., Pomerantz, A.E., and Nejati, S., 2020, A chemo-mechanical snapshot of in-situ conversion of kerogen to petroleum: Geochimica et Cosmochimica Acta, v. 273, p. 37-50, https://doi.org/10.1016/j.gca.2020.01.019.","productDescription":"14 p.","startPage":"37","endPage":"50","ipdsId":"IP-108324","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":458069,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2020.01.019","text":"Publisher Index Page"},{"id":384580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"273","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Abarghani, Arash","contributorId":255576,"corporation":false,"usgs":false,"family":"Abarghani","given":"Arash","email":"","affiliations":[{"id":17628,"text":"University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":812623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ostadhassan, Mehdi","contributorId":255578,"corporation":false,"usgs":false,"family":"Ostadhassan","given":"Mehdi","email":"","affiliations":[{"id":17628,"text":"University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":812624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":812625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pomerantz, Andrew E.","contributorId":173943,"corporation":false,"usgs":false,"family":"Pomerantz","given":"Andrew","email":"","middleInitial":"E.","affiliations":[{"id":27322,"text":"Schlumberger-Doll Research","active":true,"usgs":false}],"preferred":false,"id":812626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nejati, Siamak","contributorId":255579,"corporation":false,"usgs":false,"family":"Nejati","given":"Siamak","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":812627,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208905,"text":"70208905 - 2020 - Dunes in the world's big rivers are characterized by low-angle lee-side slopes and a complex shape","interactions":[],"lastModifiedDate":"2020-03-04T15:48:45","indexId":"70208905","displayToPublicDate":"2020-01-20T15:45:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Dunes in the world's big rivers are characterized by low-angle lee-side slopes and a complex shape","docAbstract":"Dunes form critical agents of bedload transport in all of the world’s big rivers, and constitute appreciable sources of bed roughness and flow resistance. Dunes also generate stratification that is the most common depositional feature of ancient riverine sediments. However, current models of dune dynamics and stratification are conditioned by bedform geometries observed in small rivers and laboratory experiments. For these dunes, the downstream lee-side is often assumed to be simple in shape and sloping at the angle of repose. Here we show, using a unique compilation of high-resolution bathymetry from a range of large rivers, that dunes are instead characterized predominantly by low-angle lee-side slopes (<10°), complex lee-side shapes with the steepest portion near the base of the lee-side slope and a height that is often only 10% of the local flow depth. This radically different shape of river dunes demands that such geometries are incorporated into predictions of flow resistance, water levels and flood risk and calls for rethinking of dune scaling relationships when reconstructing palaeoflow depths and a fundamental reappraisal of the character, and origin, of low-angle cross-stratification within interpretations of ancient alluvial sediments.","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/s41561-019-0511-7","usgsCitation":"Cisneros, J., Best, J.L., van Dijk, T., de Almeida, R.P., Amsler, M., Boldt, J.A., Freitas, B., Galeazzi, C., Huizinga, R.J., Ianniruberto, M., Ma, H., Nittrouer, J., Oberg, K., Orfeo, O., Parsons, D., Szupiany, R.N., Wang, P., and Zhang, Y., 2020, Dunes in the world's big rivers are characterized by low-angle lee-side slopes and a complex shape: Nature Geoscience, v. 13, no. 2, p. 156-162, https://doi.org/10.1038/s41561-019-0511-7.","productDescription":"7 p.","startPage":"156","endPage":"162","ipdsId":"IP-114604","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":467304,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1038/s41561-019-0511-7","text":"External Repository"},{"id":372925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Cisneros, Julia 0000-0001-6451-4180","orcid":"https://orcid.org/0000-0001-6451-4180","contributorId":223037,"corporation":false,"usgs":false,"family":"Cisneros","given":"Julia","email":"","affiliations":[{"id":40647,"text":"Department of Geology, University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":783906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Best, Jim L.","contributorId":147995,"corporation":false,"usgs":false,"family":"Best","given":"Jim","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":783907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Dijk, Thaienne 0000-0003-1702-1142","orcid":"https://orcid.org/0000-0003-1702-1142","contributorId":223038,"corporation":false,"usgs":false,"family":"van Dijk","given":"Thaienne","email":"","affiliations":[{"id":40648,"text":"Department of Applied Geology and Geophysics, Deltares, Utrecht, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":783908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"de Almeida, Renato Paes","contributorId":223039,"corporation":false,"usgs":false,"family":"de Almeida","given":"Renato","email":"","middleInitial":"Paes","affiliations":[{"id":40649,"text":"Instituto de Geociencias, Universidade de Sao Paulo, Brazil","active":true,"usgs":false}],"preferred":false,"id":783909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amsler, Mario","contributorId":223040,"corporation":false,"usgs":false,"family":"Amsler","given":"Mario","email":"","affiliations":[{"id":40650,"text":"Instituto Nacional de Limnologia, Santa Fe, Argentina","active":true,"usgs":false}],"preferred":false,"id":783910,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boldt, Justin A. 0000-0002-0771-3658","orcid":"https://orcid.org/0000-0002-0771-3658","contributorId":207849,"corporation":false,"usgs":true,"family":"Boldt","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783903,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Freitas, Bernardo 0000-0001-6239-0137","orcid":"https://orcid.org/0000-0001-6239-0137","contributorId":223041,"corporation":false,"usgs":false,"family":"Freitas","given":"Bernardo","email":"","affiliations":[{"id":40651,"text":"Universidade Estadual de Campinas, Limeira, Brazil","active":true,"usgs":false}],"preferred":false,"id":783911,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Galeazzi, Cristiano","contributorId":223042,"corporation":false,"usgs":false,"family":"Galeazzi","given":"Cristiano","email":"","affiliations":[{"id":40649,"text":"Instituto de Geociencias, Universidade de Sao Paulo, Brazil","active":true,"usgs":false}],"preferred":false,"id":783912,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783904,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ianniruberto, Marco","contributorId":223043,"corporation":false,"usgs":false,"family":"Ianniruberto","given":"Marco","email":"","affiliations":[{"id":40652,"text":"Instituto de Geociencias, Universidade de Brasilia, Brazil","active":true,"usgs":false}],"preferred":false,"id":783913,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ma, Hongbo","contributorId":223044,"corporation":false,"usgs":false,"family":"Ma","given":"Hongbo","email":"","affiliations":[{"id":40653,"text":"Rice University, Houston, TX","active":true,"usgs":false}],"preferred":false,"id":783914,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nittrouer, Jeff","contributorId":223045,"corporation":false,"usgs":false,"family":"Nittrouer","given":"Jeff","email":"","affiliations":[{"id":40653,"text":"Rice University, Houston, TX","active":true,"usgs":false}],"preferred":false,"id":783915,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Oberg, Kevin 0000-0002-7024-3361 kaoberg@usgs.gov","orcid":"https://orcid.org/0000-0002-7024-3361","contributorId":175229,"corporation":false,"usgs":true,"family":"Oberg","given":"Kevin","email":"kaoberg@usgs.gov","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":783905,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Orfeo, Oscar","contributorId":223046,"corporation":false,"usgs":false,"family":"Orfeo","given":"Oscar","email":"","affiliations":[{"id":40654,"text":"National Scientific and Technical Research Council, Corrientes, Argentina","active":true,"usgs":false}],"preferred":false,"id":783916,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Parsons, Daniel","contributorId":216508,"corporation":false,"usgs":false,"family":"Parsons","given":"Daniel","affiliations":[{"id":39462,"text":"University of Hull, UK","active":true,"usgs":false}],"preferred":false,"id":783917,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Szupiany, Ricardo N.","contributorId":189755,"corporation":false,"usgs":false,"family":"Szupiany","given":"Ricardo","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":783918,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wang, Ping","contributorId":78646,"corporation":false,"usgs":false,"family":"Wang","given":"Ping","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":783919,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Zhang, Yuanfeng","contributorId":223047,"corporation":false,"usgs":false,"family":"Zhang","given":"Yuanfeng","email":"","affiliations":[{"id":40655,"text":"Yellow River Institute of Hydraulic Research, Zhengzhou, P. R. China","active":true,"usgs":false}],"preferred":false,"id":783920,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70208849,"text":"70208849 - 2020 - A hierarchical analysis of habitat area, connectivity, and quality on amphibian diversity across spatial scales","interactions":[],"lastModifiedDate":"2020-03-03T14:12:32","indexId":"70208849","displayToPublicDate":"2020-01-20T14:11:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A hierarchical analysis of habitat area, connectivity, and quality on amphibian diversity across spatial scales","docAbstract":"Habitat fragmentation can alter species distributions and lead to reduced diversity at multiple scales. Yet, the literature describing fragmentation effects on biodiversity patterns is contradictory and inconclusive, possibly because most studies fail to integrate spatial scale into experimental designs and statistical analyses. As a result, it is difficult to extrapolate the effects of fragmentation to large-scaled systems in which conservation management is of immediate importance.\nObjectives\nTo explore the influence of fragmentation on biodiversity across scales, we (1) estimated the effects of habitat area, connectivity, and quality at both local (i.e. community) and regional (i.e. metacommunity) scales; and (2) evaluated the direction, magnitude, and precision of these effect estimates at both spatial scales. \nMethods\nWe developed a multi-region community occupancy model to analyze 13 years (2005-2017) of amphibian monitoring data within the National Capital Region, a network of U.S. National Parks.\nResults\nOverall, we found a positive effect of park size and a negative effect of isolation on species richness at the park-level (i.e. metacommunity), and generally positive effects of wetland area, connectivity, and quality on species richness at the wetland-level (i.e. community), although parameter estimates varied among species. Covariate effects were less precise, but effects sizes were larger, at the local wetland-level as compared to the larger park-level scale.\nConclusions\nOur analysis reveals how scale can mediate interpretation of results from scientific studies, which might help explain conflicting narratives concerning the impacts of fragmentation in the published literature. Our hierarchical framework can help managers and policymakers elucidate the relevant spatial scale(s) to target conservation efforts.","language":"English","publisher":"Springer","doi":"10.1007/s10980-019-00963-z","usgsCitation":"Wright, A., Campbell Grant, E.H., and Zipkin, E., 2020, A hierarchical analysis of habitat area, connectivity, and quality on amphibian diversity across spatial scales: Landscape Ecology, v. 35, p. 529-544, https://doi.org/10.1007/s10980-019-00963-z.","productDescription":"16 p.","startPage":"529","endPage":"544","ipdsId":"IP-111429","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":372875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, AD","contributorId":222951,"corporation":false,"usgs":false,"family":"Wright","given":"AD","email":"","affiliations":[{"id":40631,"text":"Michigan State","active":true,"usgs":false}],"preferred":false,"id":783626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":783625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zipkin, EF","contributorId":222952,"corporation":false,"usgs":false,"family":"Zipkin","given":"EF","affiliations":[{"id":40631,"text":"Michigan State","active":true,"usgs":false}],"preferred":false,"id":783627,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208329,"text":"70208329 - 2020 - A revised Holocene coral sea-level database from the Florida reef tract, USA","interactions":[],"lastModifiedDate":"2020-02-04T11:30:46","indexId":"70208329","displayToPublicDate":"2020-01-20T11:27:51","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":"A revised Holocene coral sea-level database from the Florida reef tract, USA","docAbstract":"The coral reefs and mangrove habitats of the south Florida region have long been\nused in sea-level studies for the western Atlantic because of their broad geographic\nextent and composition of sea-level tracking biota. The data from this region have\nbeen used to support several very different Holocene sea-level reconstructions (SLRs)\nover the years. However, many of these SLRs did not incorporate all available coral-based\ndata, in part because detailed characterizations necessary for inclusion into\nsea-level databases were lacking. Here, we present an updated database comprised\nof 303 coral samples from published sources that we extensively characterized for\nthe first time. The data were carefully screened by evaluating and ranking the visual\ntaphonomic characteristics of every dated sample within the database, which resulted\nin the identification of 134 high-quality coral samples for consideration as suitable\nsea-level indicators. We show that our database largely agrees with the most recent\nSLR for south Florida over the last ~7,000 years; however, the early Holocene remains\npoorly characterized because there are few high-quality data spanning this period.\nSuggestions to refine future Holocene SLRs in the region are provided including\nfilling spatial and temporal data gaps of coral samples, particularly from the early\nHolocene, as well as constructing a more robust peat database to better constrain sea-level\nvariability during the middle to late Holocene. Our database and taphonomic-ranking\nprotocol provide a framework for researchers to evaluate data-selection\ncriteria depending on the robustness of their sea-level models.","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.8350","usgsCitation":"Stathakopoulos, A., Riegl, B.M., and Toth, L., 2020, A revised Holocene coral sea-level database from the Florida reef tract, USA: PeerJ, v. 8, e8350, 31 p., https://doi.org/10.7717/peerj.8350.","productDescription":"e8350, 31 p.","ipdsId":"IP-101550","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":458081,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.8350","text":"Publisher Index Page"},{"id":437154,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98QFBJ3","text":"USGS data release","linkHelpText":"South Florida Holocene Coral Sea-level Database"},{"id":372008,"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 -80.167236328125,\n 25.839449402063185\n ],\n [\n -80.299072265625,\n 25.730632525531913\n ],\n [\n -80.364990234375,\n 25.443274612305746\n ],\n [\n -80.6396484375,\n 25.105497373014686\n ],\n [\n -81.01318359375,\n 24.896402266558727\n ],\n [\n -82.001953125,\n 24.816653556469955\n ],\n [\n -82.12280273437499,\n 24.587090339209634\n ],\n [\n -81.7822265625,\n 24.347096633808512\n ],\n [\n -81.10107421874999,\n 24.44714958973082\n ],\n [\n -80.5517578125,\n 24.676969798202656\n ],\n [\n -80.0244140625,\n 25.21488107113259\n ],\n [\n -79.95849609375,\n 25.780107118422244\n ],\n [\n -80.167236328125,\n 25.839449402063185\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Stathakopoulos, Anastasios 0000-0002-4404-035X astathakopoulos@usgs.gov","orcid":"https://orcid.org/0000-0002-4404-035X","contributorId":147744,"corporation":false,"usgs":true,"family":"Stathakopoulos","given":"Anastasios","email":"astathakopoulos@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":781428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riegl, Bernhard M 0000-0002-6003-9324","orcid":"https://orcid.org/0000-0002-6003-9324","contributorId":222162,"corporation":false,"usgs":false,"family":"Riegl","given":"Bernhard","email":"","middleInitial":"M","affiliations":[{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":781429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":781430,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70223786,"text":"70223786 - 2020 - Combining fisheries surveys to inform marine species distribution modelling","interactions":[],"lastModifiedDate":"2021-09-08T12:59:30.24106","indexId":"70223786","displayToPublicDate":"2020-01-20T07:55:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1936,"text":"ICES Journal of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Combining fisheries surveys to inform marine species distribution modelling","docAbstract":"

Ecosystem-scale examination of fish communities typically involves creating spatio-temporally explicit relative abundance distribution maps using data from multiple fishery-independent surveys. However, sampling performance varies by vessel and sampling gear, which may influence estimated species distribution patterns. Using GAMMs, the effect of different gear–vessel combinations on relative abundance estimates at length was investigated using European fisheries-independent groundfish survey data. We constructed a modelling framework for evaluating relative efficiency of multiple gear–vessel combinations. 19 northeast Atlantic surveys for 254 species-length combinations were examined. Space-time variables explained most of the variation in catches for 181/254 species-length cases, indicating that for many species, models successfully characterized distribution patterns when combining data from disparate surveys. Variables controlling for gear efficiency explained substantial variation in catches for 127/254 species-length data sets. Models that fail to control for gear efficiencies across surveys can mask changes in the spatial distribution of species. Estimated relative differences in catch efficiencies grouped strongly by gear type, but did not exhibit a clear pattern across species’ functional forms, suggesting difficulty in predicting the potential impact of gear efficiency differences when combining survey data to assess species’ distributions and highlighting the importance of modelling approaches that can control for gear differences.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/icesjms/fsz254","usgsCitation":"Moriarty, M., Pedreschi, D., Smeltz, T., Sethi, S., Harris, B., McGonigle, C., Wolf, N., and Greenstreet, S.P., 2020, Combining fisheries surveys to inform marine species distribution modelling: ICES Journal of Marine Science, v. 77, no. 2, p. 539-552, https://doi.org/10.1093/icesjms/fsz254.","productDescription":"14 p.","startPage":"539","endPage":"552","ipdsId":"IP-105454","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":458088,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/icesjms/fsz254","text":"Publisher Index Page"},{"id":388943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ireland, United Kingdom","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -11.601562500000007,\n 48.66194284607008\n ],\n [\n 9.140624999999993,\n 48.66194284607008\n ],\n [\n 9.140624999999993,\n 60.21799073323445\n ],\n [\n -11.601562500000007,\n 60.21799073323445\n ],\n [\n -11.601562500000007,\n 48.66194284607008\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"77","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Moriarty, Meadhbh","contributorId":265399,"corporation":false,"usgs":false,"family":"Moriarty","given":"Meadhbh","email":"","affiliations":[{"id":54679,"text":"Ulster University","active":true,"usgs":false}],"preferred":false,"id":822702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pedreschi, Debbi","contributorId":265400,"corporation":false,"usgs":false,"family":"Pedreschi","given":"Debbi","email":"","affiliations":[{"id":54680,"text":"Marine Institute, Galway, Ireland","active":true,"usgs":false}],"preferred":false,"id":822703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smeltz, T. Scott","contributorId":265401,"corporation":false,"usgs":false,"family":"Smeltz","given":"T. Scott","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":822704,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":822705,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harris, Bradley P.","contributorId":265402,"corporation":false,"usgs":false,"family":"Harris","given":"Bradley P.","affiliations":[{"id":12915,"text":"Alaska Pacific University","active":true,"usgs":false}],"preferred":false,"id":822706,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGonigle, Chris","contributorId":265403,"corporation":false,"usgs":false,"family":"McGonigle","given":"Chris","affiliations":[{"id":54679,"text":"Ulster University","active":true,"usgs":false}],"preferred":false,"id":822707,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wolf, Nathan","contributorId":265404,"corporation":false,"usgs":false,"family":"Wolf","given":"Nathan","affiliations":[{"id":54682,"text":"Alaska Pacific Unversity","active":true,"usgs":false}],"preferred":false,"id":822708,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Greenstreet, Simon P.R.","contributorId":265405,"corporation":false,"usgs":false,"family":"Greenstreet","given":"Simon","email":"","middleInitial":"P.R.","affiliations":[{"id":54683,"text":"Marine Scotland Science","active":true,"usgs":false}],"preferred":false,"id":822709,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70220395,"text":"70220395 - 2020 - Marine latitudinal diversity gradients, niche conservatism and out of the tropics and Arctic: Climatic sensitivity of small organisms","interactions":[],"lastModifiedDate":"2021-05-11T12:12:03.04564","indexId":"70220395","displayToPublicDate":"2020-01-20T07:03:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Marine latitudinal diversity gradients, niche conservatism and out of the tropics and Arctic: Climatic sensitivity of small organisms","docAbstract":"

Aim

The latitudinal diversity gradient (LDG) is a consequence of evolutionary and ecological mechanisms acting over long history, and thus is best investigated with organisms that have rich fossil records. However, combined neontological‐palaeontological investigations are mostly limited to large, shelled invertebrates, which keeps our mechanistic understanding of LDGs in its infancy. This paper aims to describe the modern meiobenthic ostracod LDG and to explore the possible controlling factors and the evolutionary mechanisms of this large‐scale biodiversity pattern.

Location

Present‐day Western North Atlantic.

Taxon

Ostracoda.

Methods

We compiled ostracod census data from shallow‐marine environments of the western North Atlantic Ocean. Using these data, we documented the marine LDG with multiple metrics of alpha, beta (nestedness and turnover) and gamma diversity, and we tested whether macroecological patterns could be governed by different environmental factors, including temperature, salinity, dissolved oxygen, pH and primary productivity. We also explored the geologic age distribution of ostracod genera to investigate the evolutionary mechanisms underpinning the LDG.

Results

Our results show that temperature and climatic niche conservatism are important in setting LDGs of these small, poorly dispersing organisms. We also found evidence for some dispersal‐driven spatial dynamics in the ostracod LDG. Compared to patterns observed in marine bivalves, however, dispersal dynamics were weaker and they were bi‐directional, rather than following the ‘out‐of‐the‐tropics’ model.

Main conclusions

Our detailed analyses revealed that meiobenthic organisms, which comprise two‐thirds of marine diversity, do not always follow the same rules as larger, better‐studied organisms. Our findings suggest that the understudied majority of biodiversity may be more sensitive to climate than well‐studied, large organisms. This implies that the impacts of ongoing Anthropocene climatic change on marine ecosystems may be much more serious than presently thought.

","language":"English","publisher":"Wiley","doi":"10.1111/jbi.13793","usgsCitation":"Chiu, W.R., Yasuhara, M., Cronin, T.M., Hunt, G., Gemery, L., and Wei, C., 2020, Marine latitudinal diversity gradients, niche conservatism and out of the tropics and Arctic: Climatic sensitivity of small organisms: Journal of Biogeography, v. 47, no. 4, p. 817-828, https://doi.org/10.1111/jbi.13793.","productDescription":"12 p.","startPage":"817","endPage":"828","ipdsId":"IP-101831","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":385563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Chiu, Wing-Tung Ruby","contributorId":257972,"corporation":false,"usgs":false,"family":"Chiu","given":"Wing-Tung","email":"","middleInitial":"Ruby","affiliations":[],"preferred":false,"id":815431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yasuhara, Moriaki","contributorId":178705,"corporation":false,"usgs":false,"family":"Yasuhara","given":"Moriaki","email":"","affiliations":[],"preferred":false,"id":815432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":815391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Gene","contributorId":178704,"corporation":false,"usgs":false,"family":"Hunt","given":"Gene","email":"","affiliations":[],"preferred":false,"id":815433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gemery, Laura 0000-0003-1966-8732 lgemery@usgs.gov","orcid":"https://orcid.org/0000-0003-1966-8732","contributorId":5402,"corporation":false,"usgs":true,"family":"Gemery","given":"Laura","email":"lgemery@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":815434,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wei, Chih‐Lin","contributorId":257973,"corporation":false,"usgs":false,"family":"Wei","given":"Chih‐Lin","affiliations":[],"preferred":false,"id":815435,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70249384,"text":"70249384 - 2020 - Quantifying western U.S. rangelands as fractional components with multi-resolution remote sensing and in situ data","interactions":[],"lastModifiedDate":"2024-05-16T14:17:08.092399","indexId":"70249384","displayToPublicDate":"2020-01-20T07:00:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying western U.S. rangelands as fractional components with multi-resolution remote sensing and in situ data","docAbstract":"
Quantifying western U.S. rangelands as a series of fractional components with remote sensing provides a new way to understand these changing ecosystems. Nine rangeland ecosystem components, including percent shrub, sagebrush (Artemisia), big sagebrush, herbaceous, annual herbaceous, litter, and bare ground cover, along with sagebrush and shrub heights, were quantified at 30 m resolution. Extensive ground measurements, two scales of remote sensing data from commercial high-resolution satellites and Landsat 8, and regression tree models were used to create component predictions. In the mapped area (2,993,655 km²), bare ground averaged 45.5%, shrub 15.2%, sagebrush 4.3%, big sagebrush 2.9%, herbaceous 23.0%, annual herbaceous 4.2%, and litter 15.8%. Component accuracies using independent validation across all components averaged R2 values of 0.46 and an root mean squared error (RMSE) of 10.37, and cross-validation averaged R2 values of 0.72 and an RMSE of 5.09. Component composition strongly varies by Environmental Protection Agency (EPA) level III ecoregions (n = 32): 17 are bare ground dominant, 11 herbaceous dominant, and four shrub dominant. Sagebrush physically covers 90,950 km², or 4.3%, of our study area, but is present in 883,449 km², or 41.5%, of the mapped portion of our study area.
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FEMA’s Hazus software, in contrast, provides time consuming (2-5 hours) but more detailed loss information quantified in terms of structural, social, and economic consequences estimated at a much higher spatial resolution for large domestic earthquakes. We developed a rapid hybrid post-earthquake product that takes advantage of the best of both loss models. First, though, we conducted a systematic comparison of loss estimates from PAGER with Hazus for all significant, relatively recent, domestic earthquakes for which adequate loss data exist — augmented by a dozen ShakeMap scenarios. The systematic comparison of Hazus and PAGER losses provided the basis for selecting the specific loss metrics to present from each system. The signature product will serve as a supplement to the widely deployed PAGER alerts product for significant domestic earthquakes.","language":"English","publisher":"SAGE","doi":"10.1177/8755293019878187","usgsCitation":"Wald, D.J., Seligson, H.A., Rozelle, J., Burns, J., Marano, K., Jaiswal, K.S., Hearne, M., and Bausch, D., 2020, A domestic earthquake impact alert protocol based on the combined USGS PAGER and FEMA Hazus loss estimation systems: Earthquake Spectra, v. 36, no. 1, p. 164-182, https://doi.org/10.1177/8755293019878187.","productDescription":"19 p.","startPage":"164","endPage":"182","ipdsId":"IP-108610","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":458094,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/8755293019878187","text":"Publisher Index Page"},{"id":372481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seligson, Hope A.","contributorId":219630,"corporation":false,"usgs":false,"family":"Seligson","given":"Hope","email":"","middleInitial":"A.","affiliations":[{"id":37660,"text":"Seligson Consulting","active":true,"usgs":false}],"preferred":false,"id":782723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rozelle, Jesse","contributorId":195192,"corporation":false,"usgs":false,"family":"Rozelle","given":"Jesse","email":"","affiliations":[{"id":30786,"text":"FEMA","active":true,"usgs":false}],"preferred":false,"id":782724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Jordan","contributorId":222623,"corporation":false,"usgs":false,"family":"Burns","given":"Jordan","email":"","affiliations":[{"id":40570,"text":"NiyamIT, Leesburg, VA","active":true,"usgs":false}],"preferred":false,"id":782725,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marano, Kristin 0000-0002-0420-2748 kmarano@usgs.gov","orcid":"https://orcid.org/0000-0002-0420-2748","contributorId":207906,"corporation":false,"usgs":true,"family":"Marano","given":"Kristin","email":"kmarano@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782726,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782727,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782728,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bausch, Douglas","contributorId":222624,"corporation":false,"usgs":false,"family":"Bausch","given":"Douglas","email":"","affiliations":[{"id":40570,"text":"NiyamIT, Leesburg, VA","active":true,"usgs":false}],"preferred":false,"id":782729,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}