{"pageNumber":"653","pageRowStart":"16300","pageSize":"25","recordCount":184617,"records":[{"id":70215337,"text":"70215337 - 2020 - Constraints on eruption processes and event masses for the 2016–2017 eruption of Bogoslof volcano, Alaska, through evaluation of IASI satellite SO2 masses and complementary datasets","interactions":[],"lastModifiedDate":"2020-10-15T19:52:05.64958","indexId":"70215337","displayToPublicDate":"2020-01-25T14:42:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on eruption processes and event masses for the 2016–2017 eruption of Bogoslof volcano, Alaska, through evaluation of IASI satellite SO2 masses and complementary datasets","docAbstract":"

Bogoslof volcano, Alaska, experienced at least 70 explosive eruptions between 12 December 2016 and 31 August 2017. Due to its remote location and limited local monitoring network, this eruption was monitored and characterized primarily using remote geophysical and satellite techniques. SO2 emissions from Bogoslof were persistently detected by the Infrared Atmospheric Sounding Interferometer (IASI) satellite sensors. Of Bogoslof’s 70 explosive events, 50% produced measurable SO2 masses ranging from 0.1 to 21.5 kt, with a median and standard deviation of 0.7 ± 4.0 kt SO2, respectively. Here, we compare IASI-derived SO2 masses from Bogoslof events to complementary geophysical datasets to provide insights into eruption source processes, namely the degree of seawater scrubbing of water-soluble SO2 and variations in magma flux. Correlations with the number of lightning strokes and infrasound energy are expected to indicate magma-flux as a controlling process, while correlations with infrasound frequency index are expected to indicate variations in vent-water content as a controlling factor. These comparisons suggest that the measured SO2 masses are primarily a function of eruption magnitude (degassed magma mass) and that scrubbing of SO2 emissions by vent seawater may have exerted a minor effect on the observed SO2 masses. SO2 masses were combined with petrologic constraints on melt inclusion and matrix glass S concentrations to calculate degassed magma masses and volumes. The cumulative SO2-derived degassed magma mass and estimated volume (dense-rock equivalent) for the full Bogoslof eruption were found to be 2.8 × 1010 kg and 9.3 × 106 m3, respectively. When individual event masses are compared against event masses calculated using an empirical plume-height method, a strong correlation is found (R2 = 0.83), with better than order-of-magnitude agreement in most cases. These estimates of eruption masses provide useful information on the magnitude, behavior, and associated hazards of the 2016–2017 eruption, and potentially future unrest at Bogoslof volcano.


","language":"English","publisher":"Springer","doi":"10.1007/s00445-019-1348-z","usgsCitation":"Lopez, T., Clarisse, L., Schwaiger, H., Van Eaton, A.R., Loewen, M.W., Fee, D., Lyons, J.J., Wallace, K.L., Searcy, C., Wech, A., Haney, M.M., Schneider, D.J., and Graham, N., 2020, Constraints on eruption processes and event masses for the 2016–2017 eruption of Bogoslof volcano, Alaska, through evaluation of IASI satellite SO2 masses and complementary datasets: Bulletin of Volcanology, v. 82, 17, 17 p., https://doi.org/10.1007/s00445-019-1348-z.","productDescription":"17, 17 p.","ipdsId":"IP-108986","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488432,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/301667","text":"External Repository"},{"id":379433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bogoslof volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -168.255615234375,\n 53.04451562644129\n ],\n [\n -165.47607421874997,\n 53.04451562644129\n ],\n [\n -165.47607421874997,\n 54.17529672404642\n ],\n [\n -168.255615234375,\n 54.17529672404642\n ],\n [\n -168.255615234375,\n 53.04451562644129\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2020-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Lopez, Taryn","contributorId":237830,"corporation":false,"usgs":false,"family":"Lopez","given":"Taryn","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":801768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clarisse, Lieven","contributorId":199561,"corporation":false,"usgs":false,"family":"Clarisse","given":"Lieven","email":"","affiliations":[],"preferred":false,"id":801769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwaiger, Hans 0000-0001-7397-8833","orcid":"https://orcid.org/0000-0001-7397-8833","contributorId":214983,"corporation":false,"usgs":true,"family":"Schwaiger","given":"Hans","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loewen, Matthew W. 0000-0002-5621-285X","orcid":"https://orcid.org/0000-0002-5621-285X","contributorId":213321,"corporation":false,"usgs":true,"family":"Loewen","given":"Matthew","email":"","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801772,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fee, David","contributorId":199660,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[],"preferred":false,"id":801773,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":801774,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801775,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Searcy, Cheryl 0000-0002-9474-5745","orcid":"https://orcid.org/0000-0002-9474-5745","contributorId":243217,"corporation":false,"usgs":true,"family":"Searcy","given":"Cheryl","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801776,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wech, Aaron 0000-0003-4983-1991","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":202561,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":801777,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":801778,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":198601,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":801779,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Graham, Nathan 0000-0002-8100-207X","orcid":"https://orcid.org/0000-0002-8100-207X","contributorId":242809,"corporation":false,"usgs":false,"family":"Graham","given":"Nathan","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":801780,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"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":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards 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. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":138953,"corporation":false,"usgs":true,"family":"Waddle","given":"J.","email":"waddleh@usgs.gov","middleInitial":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":781474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, Robert F","contributorId":222189,"corporation":false,"usgs":false,"family":"Baldwin","given":"Robert F","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":781476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conner, William H.","contributorId":79376,"corporation":false,"usgs":false,"family":"Conner","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":781477,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bridges, William C","contributorId":222190,"corporation":false,"usgs":false,"family":"Bridges","given":"William C","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":781478,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duberstein, Jamie A.","contributorId":91007,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jamie A.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":781479,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70228554,"text":"70228554 - 2020 - Factors that influence participation of Puerto Rican coffee farmers in conservation programs","interactions":[],"lastModifiedDate":"2022-02-14T20:10:23.762041","indexId":"70228554","displayToPublicDate":"2020-01-24T15:09:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Factors that influence participation of Puerto Rican coffee farmers in conservation programs","docAbstract":"

Sustainable, conservation-oriented agricultural practices like shade coffee and agroforestry can enhance conservation objectives in tropical landscapes. Adoption of these practices, however, is influenced by numerous factors. We conducted a survey of 89 coffee farmers in Puerto Rico to understand their farming practices, experience with existing incentives, and willingness to participate in conservation programs. Quantitative analysis showed that current farming practices, farm size, and annual income from farming were associated with willingness to participate in conservation programs. Qualitative results suggested that financial considerations, conflicting state and federal incentives, lack of information about conservation programs, distrust in government, and land use restrictions might hinder participation. Some farmers perceived that sun farming—a practice incompatible with sustainable conservation—was required to be eligible for state agricultural incentives. The way some farmers practiced shade farming differed from the way suggested for conservation purposes, particularly in the type of shade trees and their cover density. Farmers highlighted the need for financial incentives to encourage adoption of shade farming. They also expressed concerns that participation in conservation programs could limit their land management autonomy. We suggest that availability of financial incentives, reconciliation of institutional barriers, increased outreach, and involvement of farmers in design of conservation programs can increase adoption and retention of conservation practices.

","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.172","usgsCitation":"Gladkikh, T.M., Collazo, J.A., Torres-Abreu, A., Reyes, A.M., and Molina, M., 2020, Factors that influence participation of Puerto Rican coffee farmers in conservation programs: Conservation Science and Practice, v. 2, no. 4, e172, 11 p., https://doi.org/10.1111/csp2.172.","productDescription":"e172, 11 p.","ipdsId":"IP-112269","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":458009,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.172","text":"Publisher Index Page"},{"id":395923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.10723876953125,\n 17.926475979176438\n ],\n [\n -66.4398193359375,\n 17.926475979176438\n ],\n [\n -66.4398193359375,\n 18.3858049312974\n ],\n [\n -67.10723876953125,\n 18.3858049312974\n ],\n [\n -67.10723876953125,\n 17.926475979176438\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Gladkikh, Tatiana M.","contributorId":276120,"corporation":false,"usgs":false,"family":"Gladkikh","given":"Tatiana","email":"","middleInitial":"M.","affiliations":[{"id":56928,"text":"Center for Landscape Conservation","active":true,"usgs":false}],"preferred":false,"id":834574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torres-Abreu, Alejandro","contributorId":276121,"corporation":false,"usgs":false,"family":"Torres-Abreu","given":"Alejandro","email":"","affiliations":[{"id":56928,"text":"Center for Landscape Conservation","active":true,"usgs":false}],"preferred":false,"id":834576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reyes, Angelica M.","contributorId":276122,"corporation":false,"usgs":false,"family":"Reyes","given":"Angelica","email":"","middleInitial":"M.","affiliations":[{"id":56928,"text":"Center for Landscape Conservation","active":true,"usgs":false}],"preferred":false,"id":834577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Molina, Marysol","contributorId":276123,"corporation":false,"usgs":false,"family":"Molina","given":"Marysol","email":"","affiliations":[{"id":56928,"text":"Center for Landscape Conservation","active":true,"usgs":false}],"preferred":false,"id":834578,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208121,"text":"70208121 - 2020 - Uptake, metabolism, and elimination of fungicides from coated wheat seeds in Japanese quail (Coturnix japonica)","interactions":[],"lastModifiedDate":"2020-02-25T08:15:12","indexId":"70208121","displayToPublicDate":"2020-01-24T13:47:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2149,"text":"Journal of Agricultural and Food Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Uptake, metabolism, and elimination of fungicides from coated wheat seeds in Japanese quail (Coturnix japonica)","docAbstract":"Pesticides coated to the seed surface potentially pose an ecological risk to granivorous birds that consume incompletely buried or spilled seeds. To assess the toxicokinetics of seeds treated with current-use fungicides, Japanese quail (Coturnix japonica) were orally dosed with commercially coated wheat seeds. Quail were exposed to metalaxyl, tebuconazole, and fludioxonil at either a low (0.07, 0.03, and 0.03 mg/kg body weight) or high dose (0.2, 0.09, and 0.1 mg/kg body weight). Fungicides were rapidly absorbed and distributed to tissues. Tebuconazole was metabolized into t-butylhydroxy-tebuconazole. All compounds were eliminated to below detection limits within 24 h. The high detection frequencies observed in fecal samples potentially offers a noninvasive matrix to monitor pesticide exposure. Summing total body burden across plasma, tissue, and fecal samples, less than 9% of the administered dose was identified as the parent fungicide, demonstrating the importance to monitor both active ingredients and their metabolites in biological samples.","language":"English","publisher":"ACS","doi":"10.1021/acs.jafc.9b05668","usgsCitation":"Gross, M.S., Bean, T.G., Hladik, M.L., Rattner, B.A., and Kuivila, K., 2020, Uptake, metabolism, and elimination of fungicides from coated wheat seeds in Japanese quail (Coturnix japonica): Journal of Agricultural and Food Chemistry, v. 68, no. 6, p. 1514-1524, https://doi.org/10.1021/acs.jafc.9b05668.","productDescription":"11 p.","startPage":"1514","endPage":"1524","ipdsId":"IP-111108","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":371654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Gross, Michael S. 0000-0002-2433-166X","orcid":"https://orcid.org/0000-0002-2433-166X","contributorId":213604,"corporation":false,"usgs":true,"family":"Gross","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bean, Thomas G. 0000-0002-3577-1994","orcid":"https://orcid.org/0000-0002-3577-1994","contributorId":221812,"corporation":false,"usgs":false,"family":"Bean","given":"Thomas","email":"","middleInitial":"G.","affiliations":[{"id":40435,"text":"Department of Environmental Science and Technology, University of Maryland","active":true,"usgs":false}],"preferred":false,"id":780566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221087,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":780568,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":190790,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn","email":"kkuivila@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":780569,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208848,"text":"70208848 - 2020 - Tidal wetland gross primary production across the continental United States, 2000–2019","interactions":[],"lastModifiedDate":"2020-03-03T11:00:07","indexId":"70208848","displayToPublicDate":"2020-01-24T10:39:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Tidal wetland gross primary production across the continental United States, 2000–2019","docAbstract":"

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.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GB006349","usgsCitation":"Feagin, R., Forbrich, I., Huff, T.P., Barr, J., Ruiz-Plancarte, J., Fuentes, J., Najjar, R., Vargas, R., Vazquez Lule, A., Windham-Myers, L., Kroeger, K.D., Ward, E.J., Moore, G.W., Leclerc, M., Krauss, K., Stagg, C., Alber, M., Knox, S.H., Schafer, K.V., Bianchi, T., Hutchings, J., Nahrawi, H., Noormets, A., Mitra, B., Jaimes, A., Hinson, A., Bergamaschi, B.A., King, J., and Miao, G., 2020, Tidal wetland gross primary production across the continental United States, 2000–2019: Global Biogeochemical Cycles, v. 34, no. 2, e2019GB006349, 25 p., https://doi.org/10.1029/2019GB006349.","productDescription":"e2019GB006349, 25 p.","ipdsId":"IP-115587","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science 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Gas hydrate is found in shallow sediments of deepwater regions of the continental margins and in areas of continuous permafrost. Where gas supply is sufficient and migration pathways connect gas sources to favorable reservoirs, gas hydrate can accumulate to resource densities that may be attractive for gas production. Global research on the potential commercial viability of gas extraction from gas hydrates continues, predominantly in Asia and in the United States, where current efforts focus on the controlled destabilization of high-saturation deposits housed in sand and/or silt-rich reservoirs. This chapter reviews the current state of gas hydrate resource exploration and appraisal, the most promising production approaches identified to date, and the likely technical challenges to commercial production.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Future energy","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-08-102886-5.00006-2","usgsCitation":"Boswell, R., Hancock, S., Yamamoto, K., Collett, T., Pratap, M., and Lee, S., 2020, Natural gas hydrates: Status of potential as an energy resource, chap. 6 of Future energy, p. 111-131, https://doi.org/10.1016/B978-0-08-102886-5.00006-2.","productDescription":"21 p.","startPage":"111","endPage":"131","ipdsId":"IP-106861","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":495034,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/b978-0-08-102886-5.00006-2","text":"Publisher Index Page"},{"id":374928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boswell, Ray","contributorId":224746,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[{"id":28000,"text":"National Energy Technology Laboratory, Pittsburgh, PA, USA","active":true,"usgs":false}],"preferred":false,"id":789380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hancock, Steve","contributorId":224747,"corporation":false,"usgs":false,"family":"Hancock","given":"Steve","affiliations":[{"id":40931,"text":"XtremeWell Engineering Inc., Calgary, Canada","active":true,"usgs":false}],"preferred":false,"id":789381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yamamoto, Koji","contributorId":224748,"corporation":false,"usgs":false,"family":"Yamamoto","given":"Koji","affiliations":[{"id":40932,"text":"Japan Oil, Gas, and Metals National Corporation, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":789382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220806,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":789383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pratap, Mahendra","contributorId":224749,"corporation":false,"usgs":false,"family":"Pratap","given":"Mahendra","email":"","affiliations":[{"id":40933,"text":"Directorate General of Hydrocarbons, Dehli, India","active":true,"usgs":false}],"preferred":false,"id":789384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, Sung-Rock","contributorId":224750,"corporation":false,"usgs":false,"family":"Lee","given":"Sung-Rock","affiliations":[{"id":40934,"text":"KIGAM, Korea","active":true,"usgs":false}],"preferred":false,"id":789385,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"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":70219481,"text":"70219481 - 2020 - Evaluating contributions of recent tracking-based animal movement ecology to conservation management","interactions":[],"lastModifiedDate":"2021-04-09T12:15:39.629179","indexId":"70219481","displayToPublicDate":"2020-01-24T07:14:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating contributions of recent tracking-based animal movement ecology to conservation management","docAbstract":"

The use of animal-born sensors for location-based tracking and bio-logging in terrestrial systems has expanded dramatically in the past 10 years. This rapid expansion has generated new data on how animals interact with and respond to variation in their environment, resulting in important ecological, physiological, and evolutionary insights. Although understanding the finer details of animal locations has important management relevance, applied studies are not prominent in the movement ecology literature. This is despite the long history of applied studies of animal movement and the urgent and growing need for evidence-based conservation guidance, especially in the challenging field of human-wildlife interactions. The goal of this review is to evaluate the realized contribution of tracking-based animal movement ecology to solving specific conservation problems, and to identify barriers that may hinder expansion of that contribution. To do this, we (a) briefly review the history and technologies used in animal tracking and bio-logging, (b) use a series of literature searches to evaluate the frequency with which movement ecology studies are designed to solve specific conservation problems, and (c) use this information to identify challenges that may limit the applied relevance of the field of movement ecology, and to propose pathways to expand that applied relevance. Our literature review quantifies the limited extent to which research in the field of movement ecology is designed to solve specific conservation problems, but also the fact that such studies are slowly becoming more prevalent. We discuss how barriers that limit application of these principles are likely due to constraints imposed by the types of data used commonly in the field. Problems of scale mismatch, error compounding, and data paucity all create challenges that are relevant to the field of movement ecology but may be especially pertinent in applied situations. Finding solutions to these problems will create new opportunity for movement ecologists to contribute to conservation science.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2019.00519","usgsCitation":"Katzner, T., and Arlettaz, R., 2020, Evaluating contributions of recent tracking-based animal movement ecology to conservation management: Frontiers in Ecology and Evolution, v. 7, 519, 10 p., https://doi.org/10.3389/fevo.2019.00519.","productDescription":"519, 10 p.","ipdsId":"IP-114355","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":458016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2019.00519","text":"Publisher Index Page"},{"id":384964,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2020-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arlettaz, Raphael","contributorId":257062,"corporation":false,"usgs":false,"family":"Arlettaz","given":"Raphael","email":"","affiliations":[{"id":51976,"text":"Bern University","active":true,"usgs":false}],"preferred":false,"id":813758,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70208143,"text":"70208143 - 2020 - The clock keeps ticking: Circadian rhythms of free-ranging polar bears","interactions":[],"lastModifiedDate":"2020-03-11T14:36:05","indexId":"70208143","displayToPublicDate":"2020-01-24T07:04:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2195,"text":"Journal of Biological Rhythms","active":true,"publicationSubtype":{"id":10}},"title":"The clock keeps ticking: Circadian rhythms of free-ranging polar bears","docAbstract":"

Life in the Arctic presents organisms with multiple challenges, including extreme photic conditions, cold temperatures, and annual loss and daily movement of sea ice. Polar bears (Ursus maritimus) evolved under these unique conditions, where they rely on ice to hunt their main prey, seals. However, very little is known about the dynamics of their daily and seasonal activity patterns. For many organisms, activity is synchronized (entrained) to the earth’s day/night cycle, in part via an endogenous (circadian) timekeeping mechanism. The present study used collar-mounted accelerometer and global positioning system data from 122 female polar bears in the Chukchi and Southern Beaufort Seas collected over an 8-year period to characterize activity patterns over the calendar year and to determine if circadian rhythms are expressed under the constant conditions found in the Arctic. We reveal that the majority of polar bears (80%) exhibited rhythmic activity for the duration of their recordings. Collectively within the rhythmic bear cohort, circadian rhythms were detected during periods of constant daylight (June-August; 24.40 ± 1.39 h, mean ± SD) and constant darkness (23.89 ± 1.72 h). Exclusive of denning periods (November-April), the time of peak activity remained relatively stable (acrophases: ~1200-1400 h) for most of the year, suggesting either entrainment or masking. However, activity patterns shifted during the spring feeding and seal pupping season, as evidenced by an acrophase inversion to ~2400 h in April, followed by highly variable timing of activity across bears in May. Intriguingly, despite the dynamic environmental photoperiodic conditions, unpredictable daily timing of prey availability, and high between-animal variability, the average duration of activity (alpha) remained stable (11.2 ± 2.9 h) for most of the year. Together, these results reveal a high degree of behavioral plasticity in polar bears while also retaining circadian rhythmicity. Whether this degree of plasticity will benefit polar bears faced with a loss of sea ice remains to be determined.

","language":"English","publisher":"Sage","doi":"10.1177/0748730419900877","usgsCitation":"Ware, J.V., Rode, K.D., Robbins, C.T., Leise, T., Weil, C., and Jansen, H.T., 2020, The clock keeps ticking: Circadian rhythms of free-ranging polar bears: Journal of Biological Rhythms, v. 35, no. 2, p. 180-194, https://doi.org/10.1177/0748730419900877.","productDescription":"15 p.","startPage":"180","endPage":"194","ipdsId":"IP-112436","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":458018,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/0748730419900877","text":"Publisher Index Page"},{"id":437142,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NZ85T1","text":"USGS data release","linkHelpText":"Accelerometer Data from Collared Female Polar Bears in the Beaufort Sea, 2009-2016"},{"id":371678,"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 -162.94921875,\n 67.20403234340081\n ],\n [\n -140.9765625,\n 68.17155518732503\n ],\n [\n -141.064453125,\n 69.62651016802958\n ],\n [\n -156.97265625,\n 71.41317683396566\n ],\n [\n -162.861328125,\n 70.61261423801925\n ],\n [\n -165.146484375,\n 69.03714171275197\n ],\n [\n -166.728515625,\n 68.56038368664157\n ],\n [\n -164.267578125,\n 67.5421666883853\n ],\n [\n -162.94921875,\n 67.20403234340081\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Ware, Jasmine V.","contributorId":192039,"corporation":false,"usgs":false,"family":"Ware","given":"Jasmine","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":780703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":780702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robbins, Charles T.","contributorId":124585,"corporation":false,"usgs":false,"family":"Robbins","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5127,"text":"Washington State University, P.O. Box 644236, Pullman, WA 99164","active":true,"usgs":false}],"preferred":false,"id":780704,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leise, T.","contributorId":221915,"corporation":false,"usgs":false,"family":"Leise","given":"T.","email":"","affiliations":[{"id":40457,"text":"Amherst College","active":true,"usgs":false}],"preferred":false,"id":780705,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weil, C.R.","contributorId":221916,"corporation":false,"usgs":false,"family":"Weil","given":"C.R.","email":"","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":780706,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jansen, Heiko T.","contributorId":221917,"corporation":false,"usgs":false,"family":"Jansen","given":"Heiko","email":"","middleInitial":"T.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":780707,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208272,"text":"70208272 - 2020 - Soil shear strength losses in two fresh marshes with variable increases in N and P loading","interactions":[],"lastModifiedDate":"2020-10-28T15:13:27.375074","indexId":"70208272","displayToPublicDate":"2020-01-24T07:01:22","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":"Soil shear strength losses in two fresh marshes with variable increases in N and P loading","docAbstract":"We measured soil shear strength (SSS) from 2009 to 2018 in two hydrologically distinct freshwater marshes dominated by Panicum hemitomon after nitrogen (N) and phosphorous (P) were applied to the surface in spring. The average SSS averaged over 100 cm depth in the floating and anchored marshes declined up to 30% throughout the profiles and with no apparent differences in the effects of the low, medium, and high N+P dosing. Plots with only N or P additions exhibited significant changes in SSS at individual depths below 40 cm for the anchored marsh, but not the floating marsh. The average SSS for the anchored marsh over the entire 100 cm profile declined when N and P were added separately or together. At the floating marsh, however, the SSS decreased when N and P were added in combination, or P alone, but not for the N addition. Increasing nutrient availability to these freshwater marsh soils makes them weaker, and perhaps lost if eroded or uplifted by buoyant forces during storms. These results are consistent with results from multi-year experiments demonstrating higher decomposition rates, greenhouse gas emissions, and carbon losses in wetlands following increased nutrient availability.","language":"English","publisher":"Springer","doi":"10.1007/s13157-020-01265-w","usgsCitation":"Turner, R.E., Swarzenski, C.M., and Bodker, J.E., 2020, Soil shear strength losses in two fresh marshes with variable increases in N and P loading: Wetlands, v. 40, p. 1189-1199, https://doi.org/10.1007/s13157-020-01265-w.","productDescription":"11 p.","startPage":"1189","endPage":"1199","ipdsId":"IP-102316","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":458022,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-020-01265-w","text":"Publisher Index Page"},{"id":371899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.362060546875,\n 29.22889003019423\n ],\n [\n -89.2529296875,\n 29.22889003019423\n ],\n [\n -89.2529296875,\n 30.192618218499273\n ],\n [\n -92.362060546875,\n 30.192618218499273\n ],\n [\n -92.362060546875,\n 29.22889003019423\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":"Turner, R. Eugene","contributorId":172726,"corporation":false,"usgs":false,"family":"Turner","given":"R.","email":"","middleInitial":"Eugene","affiliations":[],"preferred":false,"id":781210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Christopher M. 0000-0001-9843-1471 cswarzen@usgs.gov","orcid":"https://orcid.org/0000-0001-9843-1471","contributorId":656,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Christopher","email":"cswarzen@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":781209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bodker, James E.","contributorId":152482,"corporation":false,"usgs":false,"family":"Bodker","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":13050,"text":"Department of Oceanography and Coastal Sciences, Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":781211,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"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":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change 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":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":780167,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208187,"text":"70208187 - 2020 - Website usability differences between males and females: An eye-tracking evaluation of a climate decision support system","interactions":[],"lastModifiedDate":"2020-01-29T19:56:04","indexId":"70208187","displayToPublicDate":"2020-01-23T19:53:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5829,"text":"Weather, Climate, and Society","printIssn":"1948-8327","active":true,"publicationSubtype":{"id":10}},"title":"Website usability differences between males and females: An eye-tracking evaluation of a climate decision support system","docAbstract":"Decision support systems, which are collections of related information located in a central place, can be used as platforms from which climate information can be shared with decision-makers. In this study, a web-based climate decision support system (DSS) for foresters in the Southeast United States was evaluated using eye-tracking technology. The initial study design was exploratory and focused on assessing usability concerns within the website. Results showed differences between male and female forestry experts in their eye-tracking behavior and in their success with completing tasks and answering questions related to the climate information presented in the DSS. A follow-up study, using undergraduate students from a large university in the Southeast United States, aimed to determine if similar gender differences would be detected, and if so, if the cause(s) could be determined. The second evaluation, similar to the first, showed that males and females focused their attention on different aspects of the website; males focused more on the maps depicting climate information, while females focused more on other aspects of the website (e.g., text, search bars, color bars). DSS developers should consider these gender differences when designing a web-based DSS in order to effectively support various populations of users.","language":"English","publisher":"American Meteorological Society","doi":"10.1175/WCAS-D-18-0127.1","usgsCitation":"Mauldin, L.C., McNeal, K., Aldridge, H.D., Davis, C., Boyles, R., and Atkins, R.M., 2020, Website usability differences between males and females: An eye-tracking evaluation of a climate decision support system: Weather, Climate, and Society, v. 12, p. 183-192, https://doi.org/10.1175/WCAS-D-18-0127.1.","productDescription":"10 p.","startPage":"183","endPage":"192","ipdsId":"IP-099494","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":458032,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/wcas-d-18-0127.1","text":"Publisher Index Page"},{"id":371751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mauldin, Lindsay C.","contributorId":221984,"corporation":false,"usgs":false,"family":"Mauldin","given":"Lindsay","email":"","middleInitial":"C.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":780870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McNeal, Karen","contributorId":221985,"corporation":false,"usgs":false,"family":"McNeal","given":"Karen","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":780871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aldridge, Heather D","contributorId":221986,"corporation":false,"usgs":false,"family":"Aldridge","given":"Heather","email":"","middleInitial":"D","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":780872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Corey","contributorId":221987,"corporation":false,"usgs":false,"family":"Davis","given":"Corey","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":780873,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyles, Ryan 0000-0001-9272-867X","orcid":"https://orcid.org/0000-0001-9272-867X","contributorId":221983,"corporation":false,"usgs":true,"family":"Boyles","given":"Ryan","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":780869,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Atkins, Rachel M.","contributorId":221988,"corporation":false,"usgs":false,"family":"Atkins","given":"Rachel","email":"","middleInitial":"M.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":780874,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208027,"text":"70208027 - 2020 - The historical context of contemporary climatic adaptation: A case study in the climatically dynamic and environmentally complex southwestern United States","interactions":[],"lastModifiedDate":"2020-05-05T16:40:13.396539","indexId":"70208027","displayToPublicDate":"2020-01-23T17:08:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"The historical context of contemporary climatic adaptation: A case study in the climatically dynamic and environmentally complex southwestern United States","docAbstract":"

The process of adaptation can be highly dependent upon historical and contemporary factors, especially in environmentally and topographically complex regions affected by Pleistocene glaciations. Here, we investigate Hilaria jamesii (Poaceae), a dryland C4 graminoid, to test how patterns of adaptive genetic variation are linked to its glacial and post‐glacial history. We show that the species persisted in a single, southern refugium during the last glacial period and subsequently migrated throughout its current distribution concurrent with post‐glacial warming. The species’ putative adaptive genetic variation correlates with climatic gradients (e.g. monsoon precipitation and mean diurnal temperature range) that covary with the species’ probable route of demographic expansion. The short timescale and multiple climatic dimensions of adaptation imply that natural selection acted primarily upon standing genetic variation. These findings suggest that restoration and conservation practices should prioritize the maintenance of standing genetic variation to ensure that species have the capacity to respond to future environmental changes.

","language":"English","publisher":"Wiley","doi":"10.1111/ecog.04840","usgsCitation":"Massatti, R., and Knowles, L.L., 2020, The historical context of contemporary climatic adaptation: A case study in the climatically dynamic and environmentally complex southwestern United States: Ecography, v. 43, no. 5, p. 735-746, https://doi.org/10.1111/ecog.04840.","productDescription":"12 p.","startPage":"735","endPage":"746","ipdsId":"IP-104886","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":458035,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.04840","text":"Publisher Index Page"},{"id":437143,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CNFWOX","text":"USGS data release","linkHelpText":"Hilaria jamesii data for the Colorado Plateau of the southwestern United States"},{"id":371543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California Colorado, Nevada, New Mexico, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.89355468749999,\n 31.052933985705163\n ],\n [\n -101.77734374999999,\n 31.052933985705163\n ],\n [\n -101.77734374999999,\n 42.65012181368022\n ],\n [\n -120.89355468749999,\n 42.65012181368022\n ],\n [\n -120.89355468749999,\n 31.052933985705163\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":780204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knowles, L. Lacey","contributorId":221781,"corporation":false,"usgs":false,"family":"Knowles","given":"L.","email":"","middleInitial":"Lacey","affiliations":[{"id":40427,"text":"Department of Ecology and Evolutionary Biology, The University of Michigan, Ann Arbor, MI 41809-1079, USA","active":true,"usgs":false}],"preferred":false,"id":780205,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70210889,"text":"70210889 - 2020 - Final Alabama Barrier Island restoration assessment report, appendix A: Data management plan","interactions":[],"lastModifiedDate":"2020-07-01T15:57:55.260529","indexId":"70210889","displayToPublicDate":"2020-01-23T10:53:46","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Final Alabama Barrier Island restoration assessment report, appendix A: Data management plan","docAbstract":"The Alabama Barrier Island Restoration Assessment project focused exclusively on Dauphin Island, a significant barrier island along the northern Gulf of Mexico. This restoration feasibility study effort required data collection and analysis of many data types (e.g., hydro, sediment, currents, etc.) through the project’s life cycle to assess restoration measures and their effects on the sustainability of Dauphin Island. As such, the project requires a data management plan (DMP) to address issues such as data delivery format, organizational strategies, internal data sharing, archival processes, and product dissemination.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/70210889","usgsCitation":"Hunnicutt, C.B., and Conzelmann, C., 2020, Final Alabama Barrier Island restoration assessment report, appendix A: Data management plan, 24 p., https://doi.org/10.3133/70210889.","productDescription":"24 p.","ipdsId":"IP-115954","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":376060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":376059,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://gom.usgs.gov/DauphinIsland/data/AppA_Dauphin_DataMngmtPlan_2020_final.pdf"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.07241439819336,\n 30.24853922017171\n ],\n [\n -88.09249877929688,\n 30.261736090037477\n ],\n [\n -88.11532974243164,\n 30.267814950364478\n ],\n [\n -88.15361022949219,\n 30.26336704072365\n ],\n [\n -88.2143783569336,\n 30.25076353594852\n ],\n [\n -88.21249008178711,\n 30.24542509348503\n ],\n [\n -88.15034866333008,\n 30.247352897833554\n ],\n [\n -88.12940597534178,\n 30.244387029323946\n ],\n [\n -88.11687469482422,\n 30.227628190725536\n ],\n [\n -88.07344436645508,\n 30.244387029323946\n ],\n [\n -88.07241439819336,\n 30.24853922017171\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hunnicutt, Christina B. 0000-0001-8624-6420 hunnicuttc@usgs.gov","orcid":"https://orcid.org/0000-0001-8624-6420","contributorId":5011,"corporation":false,"usgs":true,"family":"Hunnicutt","given":"Christina","email":"hunnicuttc@usgs.gov","middleInitial":"B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":791955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conzelmann, Craig 0000-0002-4227-8719","orcid":"https://orcid.org/0000-0002-4227-8719","contributorId":202364,"corporation":false,"usgs":true,"family":"Conzelmann","given":"Craig","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":791956,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70207972,"text":"fs20203001 - 2020 - Assessment of undiscovered oil and gas resources in the Central North Slope of Alaska, 2020","interactions":[],"lastModifiedDate":"2022-04-19T21:56:41.792192","indexId":"fs20203001","displayToPublicDate":"2020-01-23T10:25:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3001","displayTitle":"Assessment of Undiscovered Oil and Gas Resources in the Central North Slope of Alaska, 2020","title":"Assessment of undiscovered oil and gas resources in the Central North Slope of Alaska, 2020","docAbstract":"

Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 3.6 billion barrels of oil and 8.9 trillion cubic feet of natural gas (associated and nonassociated) in conventional accumulations in Mississippian through Paleogene strata in the central North Slope of Alaska.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20203001","usgsCitation":"Houseknecht, D.W., Whidden, K.J., Connors, C.D., Lease, R.O., Schenk, C.J., Mercier, T.J., Rouse, W.A., Botterell, P.J., Smith, R.A., Sanders, M.M., Craddock, W.H., DeVera, C.A., Garrity, C.P., Buursink, M.L., Karacan, C.O., Heller, S.J., Moore, T.E., Dumoulin, J.A., Tennyson, M.E., French, K.L., Woodall, C.A., Drake, R.M., II, Marra, K.R., Finn, T.M., Kinney, S.A., and Shorten, C.M., 2020, Assessment of undiscovered oil and gas resources in the central North Slope of Alaska, 2020: U.S. Geological Survey Fact Sheet 2020–3001, 4 p., https://doi.org/10.3133/fs20203001.","productDescription":"Report: 4 p.; Data release","onlineOnly":"N","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":371465,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91SK721","text":"USGS data release","linkHelpText":"USGS Alaska Petroleum Systems Project - Northern Alaska Province, Central North Slope Assessment Unit Boundaries and Assessment Input Forms, 2020"},{"id":399145,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109608.htm"},{"id":371441,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3001/fs20203001.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020-3001"},{"id":371440,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3001/coverthb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"central North Slope","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158,\n 68\n ],\n [\n -148,\n 68\n ],\n [\n -148,\n 70.9417\n ],\n [\n -158,\n 70.9417\n ],\n [\n -158,\n 68\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Eastern Energy Resources Science Center
U.S. Geological Survey
12201 Sunrise Valley Drive, MS-954
Reston, VA 20192

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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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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 Page"},{"id":437145,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ADI937","text":"USGS data release","linkHelpText":"Hawaii Island forest bird response to simulated nest predator 2015-2016"},{"id":373165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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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":70208490,"text":"70208490 - 2020 - Effects of John Martin Reservoir on water quality and quantity: Assessment by chemical, isotopic, and mass-balance methods","interactions":[],"lastModifiedDate":"2020-02-12T06:49:45","indexId":"70208490","displayToPublicDate":"2020-01-23T06:45:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5836,"text":"Journal of Hydrology X","onlineIssn":"2589-9155","active":true,"publicationSubtype":{"id":10}},"title":"Effects of John Martin Reservoir on water quality and quantity: Assessment by chemical, isotopic, and mass-balance methods","docAbstract":"Water quality and quantity can be influenced by transit through and storage in reservoirs. Assessing such effects can be challenging, however, because of mixing and residence times, and inter-annual net storage and release from both the reservoir itself and surrounding porosity. Here, different methodologies were used to assess the effect of John Martin Reservoir (JMR), located on the Arkansas River, on water volumes and the problematic constituents salinity (total dissolved solids, TDS), selenium (Se), and uranium (U). Methodologies addressed short-term (16 months) and long-term (31 years) effects depending upon data availability. Evaporation was assessed by using isotopes of water to determine 12% short-term evaporation, and by pan evaporation and changes in storage to determine 11% long-term evaporation. Salinity, Se, and U mass balance were assessed by using chloride (Cl−) as an index by which to measure short-term gains or losses between inflows and outflows in the short term. Chloride gain from ungaged inflows skewed those results to overestimate retention. Continuous monitoring of discharge and specific conductance for inflows and outflows, along with discrete sampling for dissolved constituents were used to compute long-term, load-based mass balance. Mild gains of TDS (34,000 ± 15,000 Mg/yr) and U (0.1 ± 0.5 Mg/yr) in JMR were detected. Although the additions are small relative to uncertainty, they indicate little to no retention of TDS and U and likely additions from ungaged inflows. In contrast, an average of 0.6 ± 0.2 Mg/yr or 23% of gaged inflow Se was removed in JMR. The study illustrates the benefit of long-term records for assessing the influence of reservoirs for which net storage and release keep them from approaching steady-state conditions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.hydroa.2020.100051","usgsCitation":"Bern, C.R., Holmberg, M.J., and Kisfalusi, Z.D., 2020, Effects of John Martin Reservoir on water quality and quantity: Assessment by chemical, isotopic, and mass-balance methods: Journal of Hydrology X, v. 7, https://doi.org/10.1016/j.hydroa.2020.100051.","productDescription":"100051, 13 p.","startPage":"100051","ipdsId":"IP-105016","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":458045,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hydroa.2020.100051","text":"Publisher Index Page"},{"id":372253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"John Martin Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.03218841552733,\n 38.048361431471385\n ],\n [\n -102.92404174804688,\n 38.048361431471385\n ],\n [\n -102.92404174804688,\n 38.08593231319764\n ],\n [\n -103.03218841552733,\n 38.08593231319764\n ],\n [\n -103.03218841552733,\n 38.048361431471385\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bern, Carleton R. 0000-0002-8980-1781 cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":201152,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmberg, Michael J. 0000-0002-1316-0412 mholmber@usgs.gov","orcid":"https://orcid.org/0000-0002-1316-0412","contributorId":190084,"corporation":false,"usgs":true,"family":"Holmberg","given":"Michael","email":"mholmber@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kisfalusi, Zachary D. 0000-0001-6016-3213","orcid":"https://orcid.org/0000-0001-6016-3213","contributorId":222422,"corporation":false,"usgs":true,"family":"Kisfalusi","given":"Zachary","email":"","middleInitial":"D.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782119,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208343,"text":"70208343 - 2020 - Behavioral responses of sea lamprey to varying application rates of a synthesized pheromone in diverse trapping scenarios","interactions":[],"lastModifiedDate":"2020-05-05T16:48:30.017515","indexId":"70208343","displayToPublicDate":"2020-01-22T17:17:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2205,"text":"Journal of Chemical Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Behavioral responses of sea lamprey to varying application rates of a synthesized pheromone in diverse trapping scenarios","docAbstract":"

Use of the first fish pheromone biopesticide, 3-keto petromyzonol sulfate (3kPZS) in sea lamprey (Petromyzon marinus) control requires an understanding of both how the amount 3kPZS applied to a trap relates to catch, and how that relationship varies among stream types. By conducting 3kPZS dose-response experiments over two years and across six varied trapping contexts, we conclude (1) that 3kPZS application is best standardized by how much is emitted from the trap instead of the fully mixed concentration achieved downstream, and (2) that 3kPZS is more effective in wide streams (>30 m). In wide streams, emission of 3kPZS at 50 mg hr.−1 from the trap increased capture rate by 10–15% as sea lamprey were 25–50% more likely to enter the trap after encounter. However, in narrow streams (< 15 m), 50 mg hr.−1 3kPZS generally reduced probabilities of upstream movement, trap encounter, and entrance. While 3kPZS significantly influenced upstream movement, encounter, and capture probabilities, these behaviors were also highly influenced by water temperature, stream width, sea lamprey length, and sex. This study highlights that a pheromone component in a stream environment does not ubiquitously increase trap catch in all contexts, but that where, how, and when the pheromone is applied has major impacts on whether it benefits or hinders trapping efforts.

","language":"English","publisher":"Springer","doi":"10.1007/s10886-020-01151-z","usgsCitation":"Johnson, N., Lewandoski, S.A., Alger, B., O’Connor, L.M., Bravener, G., Hrodey, P.J., Huerta, B., Barber, J., Li, W., Wagner, C., and Siefkes, M.J., 2020, Behavioral responses of sea lamprey to varying application rates of a synthesized pheromone in diverse trapping scenarios: Journal of Chemical Ecology, v. 46, p. 233-249, https://doi.org/10.1007/s10886-020-01151-z.","productDescription":"17 p.","startPage":"233","endPage":"249","ipdsId":"IP-114702","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":372107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":781506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewandoski, Sean A.","contributorId":221007,"corporation":false,"usgs":false,"family":"Lewandoski","given":"Sean","email":"","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":781507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alger, Bethany","contributorId":222209,"corporation":false,"usgs":false,"family":"Alger","given":"Bethany","email":"","affiliations":[{"id":40506,"text":"U.S. Geological Survey_seasonal","active":true,"usgs":false}],"preferred":false,"id":781508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Connor, Lisa M.","contributorId":173132,"corporation":false,"usgs":false,"family":"O’Connor","given":"Lisa","email":"","middleInitial":"M.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":781509,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bravener, Gale","contributorId":150995,"corporation":false,"usgs":false,"family":"Bravener","given":"Gale","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":781510,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hrodey, Peter J.","contributorId":205578,"corporation":false,"usgs":false,"family":"Hrodey","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":6599,"text":"U.S. Fish and Wildlife Service, Marquette Biological Station","active":true,"usgs":false}],"preferred":false,"id":781516,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huerta, Belinda","contributorId":222210,"corporation":false,"usgs":false,"family":"Huerta","given":"Belinda","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":781511,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barber, Jessica","contributorId":173133,"corporation":false,"usgs":false,"family":"Barber","given":"Jessica","affiliations":[{"id":6584,"text":"United States Fish and Wildlife Service–Bozeman Fish Technology","active":true,"usgs":false}],"preferred":false,"id":781512,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":781513,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wagner, C. Michael","contributorId":83019,"corporation":false,"usgs":true,"family":"Wagner","given":"C. Michael","affiliations":[],"preferred":false,"id":781514,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Siefkes, Michael J","contributorId":150989,"corporation":false,"usgs":false,"family":"Siefkes","given":"Michael","email":"","middleInitial":"J","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":781515,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"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":70215504,"text":"70215504 - 2020 - Non-crop habitat use by wild bees (Hymenoptera: Apoidea) in a mixed-use agricultural landscape","interactions":[],"lastModifiedDate":"2020-10-21T14:47:42.240072","indexId":"70215504","displayToPublicDate":"2020-01-22T09:42:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1536,"text":"Environmental Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Non-crop habitat use by wild bees (Hymenoptera: Apoidea) in a mixed-use agricultural landscape","docAbstract":"

Homogeneous, agriculturally intense landscapes have abundant records of pollinator community research, though similar studies in the forest-dominated, heterogeneous mixed-use landscape that dominates the northeastern United States are sparse. Trends of landscape effects on wild bees are consistent across homogeneous agricultural landscapes, whereas reported studies in the northeastern United States have not found this consistency. Additionally, the role of noncrop habitat in mixed-use landscapes is understudied. We assessed wild bee communities in the mixed-use lowbush blueberry (Vaccinium angustifolium Ait.) production landscape of Maine, United States at 56 sites in eight land cover types across two regional landscapes and analyzed effects of floral resources, landscape pattern, and spatial scale on bee abundance and species richness. Within survey sites, cover types with abundant floral resources, including lowbush blueberry fields and urban areas, promoted wild bee abundance and diversity. Cover types with few floral resources such as coniferous and deciduous/mixed forest reduced bee abundance and species richness. In the surrounding landscape, lowbush blueberry promoted bee abundance and diversity, while emergent wetland and forested land cover strongly decreased these measures. Our analysis of landscape configuration revealed that patch mixing can promote wild bee abundance and diversity; however, this was influenced by strong variation across our study landscape. More surveys at intra-regional scales may lead to better understanding of the influence of mixed-use landscapes on bee communities.

","language":"English","publisher":"Entomology Society of America","doi":"10.1093/ee/nvaa001","usgsCitation":"Du Clos, B., Loftin, C., and Drummond, F., 2020, Non-crop habitat use by wild bees (Hymenoptera: Apoidea) in a mixed-use agricultural landscape: Environmental Entomology, v. 49, no. 2, p. 502-515, https://doi.org/10.1093/ee/nvaa001.","productDescription":"14 p.","startPage":"502","endPage":"515","ipdsId":"IP-096163","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":458048,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ee/nvaa001","text":"Publisher Index Page"},{"id":379586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Du Clos, Brianne","contributorId":243556,"corporation":false,"usgs":false,"family":"Du Clos","given":"Brianne","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":802545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Cyndy 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":146427,"corporation":false,"usgs":true,"family":"Loftin","given":"Cyndy","email":"cyndy_loftin@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":802544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drummond, Francis A.","contributorId":243557,"corporation":false,"usgs":false,"family":"Drummond","given":"Francis A.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":802546,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}