{"pageNumber":"909","pageRowStart":"22700","pageSize":"25","recordCount":184606,"records":[{"id":70191215,"text":"ofr20171120 - 2017 - Methods for computing water-quality loads at sites in the U.S. Geological Survey National Water Quality Network","interactions":[],"lastModifiedDate":"2021-09-28T17:40:08.276189","indexId":"ofr20171120","displayToPublicDate":"2020-01-14T16:30:00","publicationYear":"2017","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":"2017-1120","displayTitle":"Methods for Computing Water-Quality Loads at Sites in the U.S. Geological Survey National Water Quality Network","title":"Methods for computing water-quality loads at sites in the U.S. Geological Survey National Water Quality Network","docAbstract":"<p>The U.S. Geological Survey currently (2020) publishes information on concentrations and loads of water-quality constituents at 110 sites across the United States as part of the U.S. Geological Survey National Water Quality Network (NWQN). This report details historical and updated methods for computing water-quality loads at NWQN sites. The primary updates to historical load estimation methods include (1) an adaptation to methods for computing loads to the Gulf of Mexico; (2) the inclusion of loads and trends computed using the Weighted Regressions on Time, Discharge, and Season (WRTDS) and Weighted Regressions on Time, Discharge, and Season with Kalman filtering (WRTDS–K) methods; and (3) the inclusion of loads computed using continuous water-quality data. Loads computed using WRTDS and WRTDS–K and continuous water-quality data are provided along with those computed using historical methods. Various aspects of method updates are evaluated in this report to help users of water-quality loading data determine which estimation methods best suit their particular application.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171120","usgsCitation":"Lee, C.J., Murphy, J.C., Crawford, C.G., and Deacon, J.R, 2017, Methods for computing water-quality loads at sites in the U.S. Geological Survey National Water Quality Network (ver. 1.3, August 2021): U.S. Geological Survey Open-File Report 2017–1120, 20 p., https://doi.org/10.3133/ofr20171120.","productDescription":"Report: vii, 20 p.; Version History","onlineOnly":"Y","ipdsId":"IP-086966","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":438099,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93DHTRJ","text":"USGS data release","linkHelpText":"Nutrient and pesticide data collected from the USGS National Water Quality Network and previous networks, 1950-2022"},{"id":438098,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P948Z0VZ","text":"USGS data release","linkHelpText":"Nutrient and pesticide data collected from the USGS National Water Quality Network and previous networks, 1950-2021"},{"id":388566,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2017/1120/versionHist.txt","text":"Version History","size":"9.89 kB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2017–1120 Version History"},{"id":388565,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1120/ofr20171120.pdf","text":"Report","size":"14.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017–1120"},{"id":347239,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1120/coverthb4.jpg"}],"edition":"Version 1.3: August 2021; Version 1.2: November 2020; Version 1.1: January 2020; Version 1.0: October 2017","contact":"<p><a data-mce-href=\"mailto:%20dc_ks@usgs.gov\" href=\"mailto:%20dc_ks@usgs.gov\">Director</a>,&nbsp;<a href=\"https://ks.water.usgs.gov/\" data-mce-href=\"https://ks.water.usgs.gov/\">Kansas Water Science Center</a> <br>U.S. Geological Survey<br>1217 Biltmore Drive<br>Lawrence, KS&nbsp;66049</p>","tableOfContents":"<ul><li>Foreword<br></li><li>Abstract<br></li><li>Introduction<br></li><li>The U.S. Geological Survey National Water Quality Network<br></li><li>National Water Quality Network Load Estimation Methods<br></li><li>Data Publication<br></li><li>Summary<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2017-10-24","revisedDate":"2021-08-26","noUsgsAuthors":false,"publicationDate":"2017-10-24","publicationStatus":"PW","scienceBaseUri":"59f05126e4b0220bbd9a1dd1","contributors":{"authors":[{"text":"Lee, Casey J. 0000-0002-5753-2038","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":31062,"corporation":false,"usgs":true,"family":"Lee","given":"Casey J.","affiliations":[],"preferred":false,"id":711564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":139729,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer C.","email":"jmurphy@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":711565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crawford, Charles G. 0000-0003-1653-7841 cgcrawfo@usgs.gov","orcid":"https://orcid.org/0000-0003-1653-7841","contributorId":1064,"corporation":false,"usgs":true,"family":"Crawford","given":"Charles","email":"cgcrawfo@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":711566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deacon, Jeffrey R. 0000-0001-5793-6940 jrdeacon@usgs.gov","orcid":"https://orcid.org/0000-0001-5793-6940","contributorId":2786,"corporation":false,"usgs":true,"family":"Deacon","given":"Jeffrey","email":"jrdeacon@usgs.gov","middleInitial":"R.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711567,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70249442,"text":"70249442 - 2017 - Child health outcomes in sub-Saharan Africa: A comparison of changes in climate and socio-economic factors","interactions":[],"lastModifiedDate":"2023-10-10T11:34:54.50386","indexId":"70249442","displayToPublicDate":"2019-08-29T06:29:55","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1841,"text":"Global Environmental Change","active":true,"publicationSubtype":{"id":10}},"title":"Child health outcomes in sub-Saharan Africa: A comparison of changes in climate and socio-economic factors","docAbstract":"<p><span>We compare changes in low birth weight and child malnutrition in 13 African countries under projected climate change versus socio-economic development scenarios. Climate scenarios are created by linking surface temperature gradients with declines in seasonal rainfall sea along with warming values of 1</span><span>&nbsp;</span><span>°C and 2</span><span>&nbsp;</span><span>°C. Socio-economic scenarios are developed by assigning regionally specific changes in access to household electricity and&nbsp;mother's education. Using these scenarios, in combination with established models of children's health, we investigate and compare the changes in predicted health outcomes. We find that the negative effects of warming and drying on child stunting could be mitigated by positive development trends associated with increasing mothers’ educational status and household access to electricity. We find less potential for these trends to mitigate how warming and drying trends impact birth weights. In short, under warming and drying, the risk of more malnourished children is greater than the risk of more children with low birth weights, but increases in child malnutrition could be averted in regions that increase access to educational resources and basic infrastructure.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloenvcha.2017.04.009","usgsCitation":"Davenport, F., Grace, K., Funk, C., and Shukla, S., 2017, Child health outcomes in sub-Saharan Africa: A comparison of changes in climate and socio-economic factors: Global Environmental Change, v. 46, p. 72-87, https://doi.org/10.1016/j.gloenvcha.2017.04.009.","productDescription":"16 p.","startPage":"72","endPage":"87","ipdsId":"IP-085021","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":421804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Kenya, Senegal, Madagascar, Burkina Faso, Ethiopia, Guinea, Malawi, Mali, Niger, Nigeria, Rwanda, Uganda, Zimbabwe","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[40.993,-0.85829],[41.58513,-1.68325],[40.88477,-2.08255],[40.63785,-2.49979],[40.26304,-2.57309],[40.12119,-3.27768],[39.80006,-3.68116],[39.60489,-4.34653],[39.20222,-4.67677],[37.7669,-3.67712],[37.69869,-3.09699],[34.07262,-1.05982],[33.90371,-0.95],[31.86617,-1.02736],[30.76986,-1.01455],[30.4191,-1.13466],[30.81613,-1.69891],[30.75831,-2.28725],[30.4697,-2.41386],[29.93836,-2.34849],[29.63218,-2.91786],[29.02493,-2.83926],[29.11748,-2.29221],[29.25483,-2.21511],[29.29189,-1.62006],[29.57947,-1.34131],[29.58784,-0.58741],[29.8195,-0.2053],[29.87578,0.59738],[30.08615,1.06231],[30.46851,1.58381],[30.85267,1.8494],[31.17415,2.20447],[30.77332,2.33989],[30.83385,3.50917],[31.24556,3.7819],[31.88145,3.55827],[32.68642,3.79232],[33.39,3.79],[34.005,4.24988],[34.6202,4.84712],[35.29801,5.506],[34.70702,6.59422],[34.25032,6.82607],[34.0751,7.22595],[33.56829,7.71334],[32.95418,7.78497],[33.2948,8.35458],[33.8255,8.37916],[33.97498,8.68456],[33.96162,9.58358],[34.25745,10.63009],[34.73115,10.91017],[34.83163,11.31896],[35.26049,12.08286],[35.86363,12.57828],[36.27022,13.56333],[36.42951,14.42211],[37.59377,14.2131],[37.90607,14.95943],[38.51295,14.50547],[39.0994,14.74064],[39.34061,14.53155],[40.02625,14.51959],[40.8966,14.11864],[41.1552,13.77333],[41.59856,13.45209],[42.00975,12.86582],[42.35156,12.54223],[42,12.1],[41.66176,11.6312],[41.73959,11.35511],[41.75557,11.05091],[42.31414,11.0342],[42.55493,11.10511],[42.77685,10.92688],[42.55876,10.57258],[42.92812,10.02194],[43.29699,9.54048],[43.67875,9.18358],[46.94834,7.99688],[47.78942,8.003],[44.9636,5.00162],[43.66087,4.95755],[42.76967,4.25259],[42.12861,4.23413],[41.85508,3.91891],[40.98105,2.78452],[40.993,-0.85829]],[[36.85509,4.44786],[38.12091,3.59861],[38.43697,3.58851],[38.12092,3.59861],[36.85509,4.44786]]],[[[-16.71373,13.59496],[-17.12611,14.37352],[-17.62504,14.72954],[-17.18517,14.91948],[-16.70071,15.62153],[-16.4631,16.13504],[-16.12069,16.45566],[-15.62367,16.36934],[-15.13574,16.58728],[-14.57735,16.59826],[-14.09952,16.3043],[-13.43574,16.03938],[-12.83066,15.30369],[-12.17075,14.61683],[-11.83421,14.7991],[-11.66608,15.38821],[-11.3491,15.41126],[-10.65079,15.13275],[-10.08685,15.33049],[-9.70026,15.26411],[-9.55024,15.4865],[-5.53774,15.50169],[-5.31528,16.20185],[-5.48852,16.3251],[-5.97113,20.64083],[-6.45379,24.95659],[-4.92334,24.97457],[-1.55005,22.79267],[1.82323,20.61081],[2.06099,20.14223],[2.68359,19.85623],[3.14666,19.69358],[3.15813,19.05736],[4.26742,19.15527],[5.67757,19.60121],[8.57289,21.56566],[11.99951,23.47167],[13.58142,23.04051],[14.14387,22.49129],[14.8513,22.86295],[15.09689,21.30852],[15.47108,21.04846],[15.48715,20.73041],[15.90325,20.38762],[15.68574,19.95718],[15.30044,17.92795],[15.24773,16.62731],[13.9722,15.68437],[13.54039,14.36713],[13.9567,13.99669],[13.95448,13.35345],[14.59578,13.33043],[14.49579,12.8594],[14.21353,12.80204],[14.18134,12.48366],[14.57718,12.08536],[14.46819,11.90475],[14.41538,11.57237],[13.57295,10.79857],[13.30868,10.16036],[13.1676,9.64063],[12.95547,9.41777],[12.75367,8.71776],[12.21887,8.30582],[12.06395,7.79981],[11.83931,7.39704],[11.74577,6.98138],[11.05879,6.64443],[10.49738,7.05536],[10.11828,7.03877],[9.52271,6.45348],[9.23316,6.44449],[8.75753,5.47967],[8.50029,4.77198],[7.46211,4.41211],[7.0826,4.46469],[6.69807,4.24059],[5.89817,4.26245],[5.3628,4.88797],[5.03357,5.6118],[4.32561,6.27065],[3.57418,6.2583],[2.6917,6.25882],[2.74906,7.87073],[2.72379,8.50685],[2.91231,9.13761],[3.22035,9.44415],[3.70544,10.06321],[3.60007,10.33219],[3.79711,10.73475],[3.57222,11.32794],[3.61118,11.66017],[2.84864,12.23564],[2.49016,12.23305],[2.15447,11.94015],[1.93599,11.64115],[1.44718,11.54772],[1.24347,11.11051],[0.89956,10.99734],[0.0238,11.01868],[-0.4387,11.09834],[-0.76158,10.93693],[-1.20336,11.00982],[-2.94041,10.96269],[-2.9639,10.39533],[-2.8275,9.64246],[-3.5119,9.90033],[-3.98045,9.86234],[-4.33025,9.61083],[-4.77988,9.82198],[-4.95465,10.15271],[-5.40434,10.37074],[-5.81693,10.22255],[-6.05045,10.09636],[-6.20522,10.52406],[-6.49397,10.4113],[-6.66646,10.43081],[-6.85051,10.13899],[-7.62276,10.14724],[-7.89959,10.29738],[-8.02994,10.20653],[-8.22934,10.12902],[-8.30962,9.78953],[-8.07911,9.37622],[-7.8321,8.5757],[-8.2035,8.45545],[-8.29905,8.31644],[-8.22179,8.12333],[-8.2807,7.68718],[-8.4393,7.68604],[-8.72212,7.71167],[-8.92606,7.30904],[-9.20879,7.31392],[-9.40335,7.52691],[-9.33728,7.92853],[-9.75534,8.54106],[-10.01657,8.4285],[-10.23009,8.40621],[-10.50548,8.3489],[-10.49432,8.71554],[-10.65477,8.97718],[-10.6224,9.26791],[-10.83915,9.68825],[-11.11748,10.04587],[-11.91728,10.04698],[-12.15034,9.85857],[-12.42593,9.83583],[-12.59672,9.62019],[-12.71196,9.34271],[-13.24655,8.90305],[-13.68515,9.49474],[-14.07404,9.88617],[-14.33008,10.01572],[-14.5797,10.21447],[-14.69323,10.6563],[-14.83955,10.87657],[-15.13031,1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Frank","contributorId":145816,"corporation":false,"usgs":false,"family":"Davenport","given":"Frank","email":"","affiliations":[{"id":7168,"text":"UCSB","active":true,"usgs":false}],"preferred":false,"id":885636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, Karthryn 0000-0001-9726-7403","orcid":"https://orcid.org/0000-0001-9726-7403","contributorId":330703,"corporation":false,"usgs":false,"family":"Grace","given":"Karthryn","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":885637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":885638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shukla, Shraddhanand","contributorId":145841,"corporation":false,"usgs":false,"family":"Shukla","given":"Shraddhanand","affiliations":[{"id":16255,"text":"Climate Hazards Group University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":885639,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70201322,"text":"70201322 - 2017 - Habitat suitability models for groundfish in the Gulf of Alaska","interactions":[],"lastModifiedDate":"2019-08-29T11:11:12","indexId":"70201322","displayToPublicDate":"2018-12-11T11:31:12","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5536,"text":"Deep Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Habitat suitability models for groundfish in the Gulf of Alaska","docAbstract":"<p><span>Identifying and quantifying the major&nbsp;ecosystem&nbsp;processes that regulate recruitment strength of commercially and ecologically important fish species is a central goal of&nbsp;fisheries management&nbsp;research. In the Gulf of Alaska (GOA) five&nbsp;groundfish&nbsp;species are of particular interest: sablefish (</span><i>Anoplopoma fimbria</i><span>),&nbsp;Pacific cod&nbsp;(</span><span><i>Gadus</i>&nbsp;macrocephalus</span><span>),&nbsp;walleye pollock&nbsp;(</span><i>Gadus chalcogrammus</i><span>),&nbsp;arrowtooth flounder&nbsp;(</span><i>Atheresthes stomias</i><span>), and Pacific&nbsp;ocean&nbsp;perch&nbsp;(</span><i>Sebastes alutus</i><span>).&nbsp;Habitat&nbsp;suitability models (HSM) were developed for the demersal early&nbsp;juvenile&nbsp;stage to inform survival to recruitment for these species, using catch data and seafloor habitat metrics with presence-only models. Regional-scale maps were produced that predict the probability of suitable habitat available in the GOA from settlement through residency in nursery areas. For example, the HSM for sablefish (150–399 mm) described suitable habitat as bathymetrically low-lying areas with low rocky structure within 25–300 m depth. In contrast, the HSM for Pacific ocean perch (50–200 mm) described suitable habitat as&nbsp;bathymetry&nbsp;rises with rocky structure present on north-south facing slopes within 85–270 m depth. These habitat covariates are useful to refine population estimates for North Pacific groundfish species and to inform life stage-specific definitions of Essential Fish Habitat. This application of MaxEnt models should be applicable for species with low occurrence of&nbsp;spatial data&nbsp;in other&nbsp;marine ecosystems&nbsp;globally.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2017.12.005","usgsCitation":"Pirtle, J.L., Shotwell, S.K., Zimmermann, M., Reid, J.A., and Golden, N.E., 2017, Habitat suitability models for groundfish in the Gulf of Alaska: Deep Sea Research Part II: Topical Studies in Oceanography, v. 165, p. 303-321, https://doi.org/10.1016/j.dsr2.2017.12.005.","productDescription":"19 p.","startPage":"303","endPage":"321","ipdsId":"IP-076374","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":461313,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr2.2017.12.005","text":"Publisher Index Page"},{"id":360155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -165.498046875,\n              54.059387886623576\n            ],\n            [\n              -130.2099609375,\n              54.059387886623576\n            ],\n            [\n              -130.2099609375,\n              61.4597705702975\n            ],\n            [\n              -165.498046875,\n              61.4597705702975\n            ],\n            [\n              -165.498046875,\n              54.059387886623576\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"165","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10aa60e4b034bf6a7e57b9","contributors":{"authors":[{"text":"Pirtle, Jodi L.","contributorId":211305,"corporation":false,"usgs":false,"family":"Pirtle","given":"Jodi","email":"","middleInitial":"L.","affiliations":[{"id":38223,"text":"National Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":753605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shotwell, S. Kalei","contributorId":211306,"corporation":false,"usgs":false,"family":"Shotwell","given":"S.","email":"","middleInitial":"Kalei","affiliations":[{"id":38224,"text":"Ted Stevens Marine Research Institute, Auke Bay Laboratories, Alaska Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":753606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmermann, Mark 0000-0002-5786-3814","orcid":"https://orcid.org/0000-0002-5786-3814","contributorId":200380,"corporation":false,"usgs":false,"family":"Zimmermann","given":"Mark","email":"","affiliations":[],"preferred":false,"id":753607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reid, Jane A. 0000-0003-1771-3894 jareid@usgs.gov","orcid":"https://orcid.org/0000-0003-1771-3894","contributorId":2826,"corporation":false,"usgs":true,"family":"Reid","given":"Jane","email":"jareid@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Golden, Nadine E. 0000-0001-6007-6486 ngolden@usgs.gov","orcid":"https://orcid.org/0000-0001-6007-6486","contributorId":146220,"corporation":false,"usgs":true,"family":"Golden","given":"Nadine","email":"ngolden@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753603,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70199140,"text":"70199140 - 2017 - Multiscale hyperspectral imaging of the Orange Hill Porphyry Copper Deposit, Alaska, USA, with laboratory-, field-, and aircraft-based imaging spectrometers","interactions":[],"lastModifiedDate":"2020-11-05T17:32:53.158416","indexId":"70199140","displayToPublicDate":"2018-11-01T14:37:44","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Multiscale hyperspectral imaging of the Orange Hill Porphyry Copper Deposit, Alaska, USA, with laboratory-, field-, and aircraft-based imaging spectrometers","docAbstract":"<p>In the past decade, use of hyperspectral imaging (imaging spectroscopy) for mineral exploration and mining operations has been increasing at different spatial scales. In this paper, we focus on recent trends in applying imaging spectrometer data to: 1) airborne imaging of high latitude deposits, 2) field-based imaging of outcrops, and 3) laboratory-level imaging of geologic samples. Comparing mineral information derived from imaging spectrometer data acquired at these three scales in Alaska in areas of exposed porphyry Cu-Au-Mo deposits, Orange Hill and Bond Creek, we find notable consistency in identifications of spectrally predominant minerals, including white mica, chlorite, clays, and gypsum. Variations in the wavelength position of white mica 2200 nm Al-OH absorption seen at the airborne level are echoed by finerscale field and laboratory imaging, with wavelength positions spanning the 2199 to 2207 nm range. The longerwavelength micas associated with porphyry formation are more phengitic in composition, and thus distinct from mica in plutonic and volcanic arc rocks not affected by magmatic-hydrothermal fluids. The hillside imagery, collected on a cloudy day that would have precluded aircraft survey, gave comparable result to airborne and laboratory data, indicating field-based imaging spectroscopy can be a feasible alternative to airborne survey for accessible targets. Direct spectral observation of molybdenite in rocks collected from the Orange Hill deposit demonstratesthat additional important mineral information can be revealed with laboratory level imaging spectroscopy that is difficult to obtain in coarser scale data, commonly due to low areal extent of target minerals. The spatial association of the clinochlore + white mica and long wavelength white mica spectral classes to multi-element Cu-Mo-Au anomalies from geochemical analyses of rocks and sediments support a causative relationship with magmatic-hydrothermal alteration. Mineral maps from the airborne data were used to guide field sampling that found additional CuMo-Au mineralized areas, which were previously unknown or unreported. The results from this study provide support for utilization of imaging spectroscopy for assisting mineral exploration in other portions of the state of Alaska as well as other areas at high latitudes. Imaging spectroscopy has the potential to provide targeting information for follow-up sampling and investigations, potentially reducing subsequent exploration costs.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of Exploration 17: Sixth Decennial International Conference on Mineral Exploration","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Decennial Mineral Exploration Conferences","usgsCitation":"Kokaly, R.F., Graham, G.E., Hoefen, T.M., Kelley, K.D., Johnson, M., Hubbard, B.E., Buchhorn, M., and Prakash, A., 2017, Multiscale hyperspectral imaging of the Orange Hill Porphyry Copper Deposit, Alaska, USA, with laboratory-, field-, and aircraft-based imaging spectrometers, <i>in</i> Proceedings of Exploration 17: Sixth Decennial International Conference on Mineral Exploration, p. 923-943.","productDescription":"21 p.","startPage":"923","endPage":"943","ipdsId":"IP-091448","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":359674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357093,"type":{"id":15,"text":"Index Page"},"url":"https://www.dmec.ca/Resources/Exploration-17.aspx"}],"country":"United States","state":"Alaska","otherGeospatial":"Orange Hill Porphyry Copper Deposit","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -146.041259765625,\n              62.552856958572896\n            ],\n            [\n              -142.84423828125,\n              62.552856958572896\n            ],\n            [\n              -142.84423828125,\n              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0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":752001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":752002,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelley, Karen D. 0000-0002-3232-5809 kdkelley@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":179012,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":752003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":752004,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hubbard, Bernard E. 0000-0002-9315-2032 bhubbard@usgs.gov","orcid":"https://orcid.org/0000-0002-9315-2032","contributorId":2342,"corporation":false,"usgs":true,"family":"Hubbard","given":"Bernard","email":"bhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":752005,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buchhorn, M.","contributorId":210801,"corporation":false,"usgs":false,"family":"Buchhorn","given":"M.","email":"","affiliations":[],"preferred":false,"id":752006,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prakash, A.","contributorId":81330,"corporation":false,"usgs":true,"family":"Prakash","given":"A.","email":"","affiliations":[],"preferred":false,"id":752007,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70199137,"text":"70199137 - 2017 - Application of paleoflood surveys for the southern Black Hills of South Dakota","interactions":[],"lastModifiedDate":"2018-11-27T11:47:09","indexId":"70199137","displayToPublicDate":"2018-10-01T11:47:04","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5789,"text":"South Dakota Department of Transportation Office of Research Study","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2010-04","title":"Application of paleoflood surveys for the southern Black Hills of South Dakota","docAbstract":"Flood-frequency analyses for the Black Hills area have especially large uncertainties and are especially important for planning purposes because of a history of extremely large and damaging floods, such as the extreme floods of June 9–10, 1972. Geology, topography, and climatology are additional complicating factors for flood-frequency characterization for the area. Two previous paleoflood studies for the Black Hills area indicated good potential for improving flood-frequency analyses through implementation of paleoflood investigations. The objectives of this study (SD2010-04) for the southern Black Hills were to (1) develop long-term flood chronologies and associated peak-flow frequency analyses for selected stream reaches by applying paleoflood hydrology approaches; and (2) develop flood-frequency information regarding “high-elevation” stream reaches to help address questions regarding differential potential for generation of exceptionally strong rain-producing thunderstorms across elevation gradients in the area. Neither objective was accomplished because the study was terminated before planned completion.\nSubstantial efforts could be applied for only 2 of the 12 research tasks prior to study termination. These were task 3 (preliminary reconnaissance) and task 4 (activities associated with Section 106 of the National Historic Preservation Act). Field reconnaissance conducted along 10 candidate streams indicated that conditions in the southern Black Hills appear quite favorable for conducting paleoflood investigations. All 10 candidate streams had moderate to good potential for favorable paleoflood evidence, and in general are well constrained in relatively narrow canyon reaches, which provides good sensitivity for changes in stage, relative to discharge.\nTask 4 (Section 106 activities) was needed because alcoves and rock shelters that are well suited for deposition and preservation of paleoflood evidence may have been used as shelters or cache locations by indigenous inhabitants and thus may be eligible for consideration as historic properties because of possible archaeological or cultural materials. The complexity of the Section 106 concerns and issues became progressively more apparent as the study evolved. The study eventually was terminated when it became apparent that the resources needed to address the Section 106 issues would overwhelm the resources available for study implementation. In the event of consideration of future re-implementation, approaches that might help expedite Section 106 issues could include (1) a partnership with another Federal agency that has substantial experience with the Section 106 process; (2) securing assistance from a consultant that could help with both the Section 106 process and the required archaeological component; and (3) partnering with a tribal college with archaeological or earth science/hydrology programs, which could help make this study become part of a learning exercise.","language":"English","publisher":"South Dakota Department of Transportation","usgsCitation":"Driscoll, D.G., 2017, Application of paleoflood surveys for the southern Black Hills of South Dakota: South Dakota Department of Transportation Office of Research Study 2010-04, 21 p.","productDescription":"21 p.","ipdsId":"IP-085944","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":359716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357090,"type":{"id":15,"text":"Index Page"},"url":"https://www.sddot.com/business/research/reports/Default.aspx"}],"country":"United States","state":"South Dakota","otherGeospatial":"Black Hills","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bfe65e3e4b0815414ca60fe","contributors":{"authors":[{"text":"Driscoll, Daniel G. 0000-0003-0016-8535 dgdrisco@usgs.gov","orcid":"https://orcid.org/0000-0003-0016-8535","contributorId":207583,"corporation":false,"usgs":true,"family":"Driscoll","given":"Daniel","email":"dgdrisco@usgs.gov","middleInitial":"G.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":744282,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70198901,"text":"70198901 - 2017 - The Peters Hills basin, a Neogene wedge-top basin on the Broad Pass thrust fault, south-central Alaska","interactions":[],"lastModifiedDate":"2023-11-09T17:39:33.741967","indexId":"70198901","displayToPublicDate":"2018-08-09T12:44:49","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"The Peters Hills basin, a Neogene wedge-top basin on the Broad Pass thrust fault, south-central Alaska","docAbstract":"<p><span>The Neogene Peters Hills basin is a small terrestrial basin that formed along the south flank of the Alaska Range during a time in which there was regional shortening. The formation of the Peters Hills basin is consistent with it being a wedge-top basin that formed on top of the active southeast-vergent Broad Pass thrust fault. Movement along this thrust raised a ridge of Jurassic and Cretaceous metasedimentary rocks, which then trapped behind it Miocene and Pliocene sediments that were derived from the growing Alaska Range. The presence of this thrust fault is consistent with regional structural, stratigraphic, seismicity, gravity, and aeromagnetic data. The Peters Hills basin is no longer a depocenter, but if the Broad Pass thrust remains active, it would help explain the westward decrease in Quaternary slip rate along the Denali fault system, and it may constitute a seismic hazard that could produce earthquakes in the M</span><sub>w</sub><span>&nbsp;7.6–7.8 range.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01487.1","usgsCitation":"Haeussler, P.J., Saltus, R., Stanley, R.G., Ruppert, N., Lewis, K., Karl, S.M., and Bender, A.M., 2017, The Peters Hills basin, a Neogene wedge-top basin on the Broad Pass thrust fault, south-central Alaska: Geosphere, v. 13, no. 5, p. 1464-1488, https://doi.org/10.1130/GES01487.1.","productDescription":"25 p.","startPage":"1464","endPage":"1488","ipdsId":"IP-086120","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":469212,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01487.1","text":"Publisher Index Page"},{"id":356788,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Peters Hills basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -152.25,\n              61.75\n            ],\n            [\n              -149.5,\n              61.75\n            ],\n            [\n              -149.5,\n              63\n            ],\n            [\n              -152.25,\n              63\n            ],\n            [\n              -152.25,\n              61.75\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-09","publicationStatus":"PW","scienceBaseUri":"5b98a33ee4b0702d0e843039","contributors":{"authors":[{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":743333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saltus, Richard W. 0000-0001-6920-2936","orcid":"https://orcid.org/0000-0001-6920-2936","contributorId":207255,"corporation":false,"usgs":false,"family":"Saltus","given":"Richard W.","affiliations":[{"id":37502,"text":"NOAA-NCEI, 325 Broadway, NOAA E/GC3, Office 1B507, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":743334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":743335,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruppert, Natalia","contributorId":207257,"corporation":false,"usgs":false,"family":"Ruppert","given":"Natalia","affiliations":[{"id":37504,"text":"University of Alaska/Geophysical Institute, Fairbanks, AK","active":true,"usgs":false}],"preferred":false,"id":743336,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lewis, Kristen 0000-0003-4991-3399","orcid":"https://orcid.org/0000-0003-4991-3399","contributorId":207258,"corporation":false,"usgs":false,"family":"Lewis","given":"Kristen","affiliations":[{"id":37505,"text":"U.S. Geological Survey, CERSC, P.O. Box 25046, Denver, CO","active":true,"usgs":false}],"preferred":false,"id":743337,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Karl, Susan M. 0000-0003-1559-7826 skarl@usgs.gov","orcid":"https://orcid.org/0000-0003-1559-7826","contributorId":502,"corporation":false,"usgs":true,"family":"Karl","given":"Susan","email":"skarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":743338,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bender, Adrian M. 0000-0001-7469-1957 abender@usgs.gov","orcid":"https://orcid.org/0000-0001-7469-1957","contributorId":4963,"corporation":false,"usgs":true,"family":"Bender","given":"Adrian","email":"abender@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":743339,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70198484,"text":"70198484 - 2017 - Effectiveness of environmental flows for riparian restoration in arid regions: A tale of four rivers","interactions":[],"lastModifiedDate":"2018-08-06T12:17:04","indexId":"70198484","displayToPublicDate":"2018-08-06T12:17:01","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Effectiveness of environmental flows for riparian restoration in arid regions: A tale of four rivers","docAbstract":"<p><span>Environmental flows have become important restoration tools on regulated rivers. However, environmental flows are often constrained by other demands within the&nbsp;river system&nbsp;and thus typically are comprised of smaller water volumes than the natural flows they are meant to replace, which can limit their functional efficacy. We review environmental flow programs aimed at restoring&nbsp;riparian vegetation&nbsp;on four arid zone rivers: the Tarim River in China; the Bill Williams River in Arizona, U.S.; the delta of the Colorado River in Mexico; and the Murrumbidgee River in southern Australia. Our goal is to determine what worked and what did not work to accomplish restoration goals. The lower Tarim River in China formerly formed a “green corridor” across the Taklamakan Desert. The&nbsp;riparian zone&nbsp;deteriorated due to diversion of surface and groundwater for irrigated agriculture. A massive restoration program began in 2000 with release of 1038 million cubic meters of water over the first three years.&nbsp;Groundwater levels&nbsp;rose but the ecological response was less than expected politically, socially and within the scientific community. However, releases continued and by 2015 portions of the original iconic&nbsp;</span><i>Populus euphratica</i><span>&nbsp;(Euphrates poplar) forest were reestablished. The natural flow regime of the Bill Williams River was disrupted by construction of a dam in 1968, dramatically reducing peak flows along with associated&nbsp;fluvial processes. As a result, the channel narrowed and riparian vegetation expanded and was comprised largely of an introduced shrub species (</span><span><i>Tamarix</i></span><span>&nbsp;spp.). Environmental flow releases including small, managed floods and sustained&nbsp;base flows&nbsp;have been implemented since the mid 1990’s to promote establishment and maintenance of native riparian trees (cottonwoods and willows) and have been successful, although in a “downsized” portion of the valley bottom. Experience from the Bill Williams was used to help design the Minute 319 environmental flow in the delta of the Colorado River in 2014. Water was released as a short, one-time pulse during spring with the intent of starting new cohorts of cottonwood and willow. However, fluvial disturbance was limited by the relatively small magnitude pulse,&nbsp;low flows&nbsp;did not continue throughout the&nbsp;growing season&nbsp;in some reaches, native tree recruitment was low, and most of the new plants recruited were&nbsp;</span><i>Tamarix</i><span>. The inundated portion of the&nbsp;floodplain&nbsp;did respond with a temporary increase in greenness as measured by satellite&nbsp;vegetation indices, however. The Murrumbidgee River in Australia is a&nbsp;tributary&nbsp;in the Murray-Darling River Basin, which supports iconic red gum (</span><span><i>Eucalyptus camaldulensis</i></span><span>) forests that depend on near-yearly floods for maintenance. During the recent Millennial Drought (2000–2010) environmental flows were provided on an experimental basis to small portions of the Yanga National Forest to see how much water was needed. As with the Colorado River delta, gains in vegetation vigor as measured by satellite vegetation indices following the flows were temporary. Environmental flows in the Bill Williams were able to restore enough overbank flooding and fluvial disturbance to promote some establishment of new cohorts of trees, but on the Colorado and Murrumbidgee Rivers larger volumes of total flows released over longer periods and targeted restoration will be needed to restore the ecosystems. A measure of success in restoring the Euphrates&nbsp;poplar&nbsp;forest on the Tarim and&nbsp;germinating&nbsp;new chorts of willows on the Bill Williams has been achieved after 15–20 years of environmental flows, but the Colorado River delta and Murrumbidgee Rivers have only received one or two flows. Success in enhancing native trees in the Colorado delta has been achieved in restoration plots, but the Murrumbidgee will require large&nbsp;overbank flows&nbsp;on a continuing schedule to rejuvenate the red gum forest.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2017.01.009","usgsCitation":"Glenn, E., Nagler, P.L., Shafroth, P.B., and Jarchow, C., 2017, Effectiveness of environmental flows for riparian restoration in arid regions: A tale of four rivers: Ecological Engineering, v. 106, no. Part B, p. 695-703, https://doi.org/10.1016/j.ecoleng.2017.01.009.","productDescription":"9 p.","startPage":"695","endPage":"703","ipdsId":"IP-077206","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2017.01.009","text":"Publisher Index Page"},{"id":356190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"Part B","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc50ae4b0f5d57878eae8","contributors":{"authors":[{"text":"Glenn, Edward P.","contributorId":56542,"corporation":false,"usgs":false,"family":"Glenn","given":"Edward P.","affiliations":[{"id":13060,"text":"Department of Soil, Water and Environmental Science, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":741632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":741631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":741633,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jarchow, Christopher 0000-0002-0424-4104 cjarchow@usgs.gov","orcid":"https://orcid.org/0000-0002-0424-4104","contributorId":196069,"corporation":false,"usgs":true,"family":"Jarchow","given":"Christopher","email":"cjarchow@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":741634,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198094,"text":"70198094 - 2017 - Emulation of long-term changes in global climate: application to the late Pliocene and future","interactions":[],"lastModifiedDate":"2018-07-16T11:35:53","indexId":"70198094","displayToPublicDate":"2018-07-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"Emulation of long-term changes in global climate: application to the late Pliocene and future","docAbstract":"<p>Multi-millennial transient simulations of climate changes have a range of important applications, such as for investigating key geologic events and transitions for which high-resolution palaeoenvironmental proxy data are available, or for projecting the long-term impacts of future climate evolution on the performance of geological repositories for the disposal of radioactive wastes. However, due to the high computational requirements of current fully coupled general circulation models (GCMs), long-term simulations can generally only be performed with less complex models and/or at lower spatial resolution. In this study, we present novel longterm “continuous” projections of climate evolution based on the output from GCMs, via the use of a statistical emulator. The emulator is calibrated using ensembles of GCM simulations, which have varying orbital configurations and atmospheric CO2 concentrations and enables a variety of investigations of long-term climate change to be conducted, which would not be possible with other modelling techniques on the same temporal and spatial scales. To illustrate the potential applications, we apply the emulator to the late Pliocene (by modelling surface air temperature – SAT), comparing its results with palaeo-proxy data for a number of global sites, and to the next 200 kyr (thousand years) (by modelling SAT and precipitation). A range of CO2 scenarios are prescribed for each period. During the late Pliocene, we find that emulated SAT varies on an approximately precessional timescale, with evidence of increased obliquity response at times. A comparison of atmospheric CO2 concentration for this period, estimated using the proxy sea surface temperature (SST) data from different sites and emulator results, finds that relatively similar CO2 concentrations are estimated based on sites at lower latitudes, whereas higher-latitude sites show larger discrepancies. In our second illustrative application, spanning the next 200 kyr into the future, we find that SAT oscillations appear to be primarily influenced by obliquity for the first ∼ 120 kyr, whilst eccentricity is relatively low, after which precession plays a more dominant role. Conversely, variations in precipitation over the entire period demonstrate a strong precessional signal. Overall, we find that the emulator provides a useful and powerful tool for rapidly simulating the long-term evolution of climate, both past and future, due to its relatively high spatial resolution and relatively low computational cost. However, there are uncertainties associated with the approach used, including the inability of the emulator to capture deviations from a quasi-stationary response to the forcing, such as transient adjustments of the deep-ocean temperature and circulation, in addition to its limited range of fixed ice sheet configurations and its requirement for prescribed atmospheric CO2 concentrations.</p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/cp-2017-57","usgsCitation":"Lord, N.S., Crucifix, M., Lunt, D.J., Thorne, M.C., Bounceur, N., Dowsett, H.J., O’Brien, C.L., and Ridgwell, A., 2017, Emulation of long-term changes in global climate: application to the late Pliocene and future: Climate of the Past, v. 13, p. 1539-1571, https://doi.org/10.5194/cp-2017-57.","productDescription":"33 p.","startPage":"1539","endPage":"1571","ipdsId":"IP-083123","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":469214,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-2017-57","text":"Publisher Index Page"},{"id":355675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc50ae4b0f5d57878eaea","contributors":{"authors":[{"text":"Lord, Natalie S.","contributorId":206300,"corporation":false,"usgs":false,"family":"Lord","given":"Natalie","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":740007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crucifix, Michel","contributorId":206301,"corporation":false,"usgs":false,"family":"Crucifix","given":"Michel","email":"","affiliations":[],"preferred":false,"id":740008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lunt, Daniel J.","contributorId":101168,"corporation":false,"usgs":true,"family":"Lunt","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":740009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thorne, Mike C.","contributorId":206302,"corporation":false,"usgs":false,"family":"Thorne","given":"Mike","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":740010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bounceur, Nabila","contributorId":206303,"corporation":false,"usgs":false,"family":"Bounceur","given":"Nabila","email":"","affiliations":[],"preferred":false,"id":740011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":740012,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Brien, Charlotte L.","contributorId":206304,"corporation":false,"usgs":false,"family":"O’Brien","given":"Charlotte","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":740013,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ridgwell, A.","contributorId":192917,"corporation":false,"usgs":false,"family":"Ridgwell","given":"A.","email":"","affiliations":[],"preferred":false,"id":740014,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70198037,"text":"70198037 - 2017 - Interactions of estuarine shoreline infrastructure with multiscale sea level variability","interactions":[],"lastModifiedDate":"2018-07-16T10:48:25","indexId":"70198037","displayToPublicDate":"2018-07-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2321,"text":"Journal of Geophysical Research: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Interactions of estuarine shoreline infrastructure with multiscale sea level variability","docAbstract":"<p>Sea level rise increases the risk of storms and other short‐term water‐rise events, because it sets a higher water level such that coastal surges become more likely to overtop protections and cause floods. To protect coastal communities, it is necessary to understand the interaction among multiday and tidal sea level variabilities, coastal infrastructure, and sea level rise. We performed a series of numerical simulations for San Francisco Bay to examine two shoreline scenarios and a series of short‐term and long‐term sea level variations. The two shoreline configurations include the existing topography and a coherent full‐bay containment that follows the existing land boundary with an impermeable wall. The sea level variability consists of a half‐meter perturbation, with duration ranging from 2 days to permanent (i.e., sea level rise). The extent of coastal flooding was found to increase with the duration of the high‐water‐level event. The nonlinear interaction between these intermediate scale events and astronomical tidal forcing only contributes ∼1% of the tidal heights; at the same time, the tides are found to be a dominant factor in establishing the evolution and diffusion of multiday high water events. Establishing containment at existing shorelines can change the tidal height spectrum up to 5%, and the impact of this shoreline structure appears stronger in the low‐frequency range. To interpret the spatial and temporal variability at a wide range of frequencies, Optimal Dynamic Mode Decomposition is introduced to analyze the coastal processes and an inverse method is applied to determine the coefficients of a 1‐D diffusion wave model that quantify the impact of bottom roughness, tidal basin geometry, and shoreline configuration on the high water events </p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JC012730","usgsCitation":"Wang, R., Herdman, L.M., Erikson, L.H., Barnard, P., Hummel, M., and Stacey, M., 2017, Interactions of estuarine shoreline infrastructure with multiscale sea level variability: Journal of Geophysical Research: Oceans, v. 122, no. 12, p. 9962-9979, https://doi.org/10.1002/2017JC012730.","productDescription":"18 p.","startPage":"9962","endPage":"9979","ipdsId":"IP-086795","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469215,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jc012730","text":"Publisher Index Page"},{"id":355566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-15","publicationStatus":"PW","scienceBaseUri":"5b46e540e4b060350a15d05d","contributors":{"authors":[{"text":"Wang, Ruo-Quian","contributorId":206190,"corporation":false,"usgs":false,"family":"Wang","given":"Ruo-Quian","email":"","affiliations":[{"id":37278,"text":"University of Dundee","active":true,"usgs":false}],"preferred":false,"id":739743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herdman, Liv M. 0000-0002-5444-6441 lherdman@usgs.gov","orcid":"https://orcid.org/0000-0002-5444-6441","contributorId":149964,"corporation":false,"usgs":true,"family":"Herdman","given":"Liv","email":"lherdman@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":739741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":739744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":739742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hummel, Michelle","contributorId":204476,"corporation":false,"usgs":false,"family":"Hummel","given":"Michelle","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":739745,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stacey, Mark T.","contributorId":94531,"corporation":false,"usgs":false,"family":"Stacey","given":"Mark T.","affiliations":[{"id":12776,"text":"Department of Civil and Environmental Engineering,  University of California, Berkeley, California, USA","active":true,"usgs":false}],"preferred":false,"id":739746,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70197816,"text":"70197816 - 2017 - Improvements in absolute seismometer sensitivity calibration using local earth gravity measurements","interactions":[],"lastModifiedDate":"2018-07-03T10:56:23","indexId":"70197816","displayToPublicDate":"2018-06-20T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Improvements in absolute seismometer sensitivity calibration using local earth gravity measurements","docAbstract":"<p>The ability to determine both absolute and relative seismic amplitudes is fundamentally limited by the accuracy and precision with which scientists are able to calibrate seismometer sensitivities and characterize their response. Currently, across the Global Seismic Network (GSN), errors in midband sensitivity exceed 3% at the 95% confidence interval and are the least‐constrained response parameter in seismic recording systems. We explore a new methodology utilizing precise absolute Earth gravity measurements to determine the midband sensitivity of seismic instruments. We first determine the absolute sensitivity of Kinemetrics EpiSensor accelerometers to 0.06% at the 99% confidence interval by inverting them in a known gravity field at the Albuquerque Seismological Laboratory (ASL). After the accelerometer is calibrated, we install it in its normal configuration next to broadband seismometers and subject the sensors to identical ground motions to perform relative calibrations of the broadband sensors. Using this technique, we are able to determine the absolute midband sensitivity of the vertical components of Nanometrics Trillium Compact seismometers to within 0.11% and Streckeisen STS‐2 seismometers to within 0.14% at the 99% confidence interval. The technique enables absolute calibrations from first principles that are traceable to National Institute of Standards and Technology (NIST) measurements while providing nearly an order of magnitude more precision than step‐table calibrations.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170218","usgsCitation":"Anthony, R.E., Ringler, A.T., and Wilson, D.C., 2017, Improvements in absolute seismometer sensitivity calibration using local earth gravity measurements: Bulletin of the Seismological Society of America, v. 108, no. 1, p. 503-510, https://doi.org/10.1785/0120170218.","productDescription":"8 p.","startPage":"503","endPage":"510","ipdsId":"IP-090884","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":355236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-19","publicationStatus":"PW","scienceBaseUri":"5b46e607e4b060350a15d240","contributors":{"authors":[{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":738639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":738640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":738641,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197366,"text":"70197366 - 2017 - Environmental influences on the nesting phenology and productivity of Mississippi Kites (Ictinia mississippiensis)","interactions":[],"lastModifiedDate":"2018-05-31T15:13:42","indexId":"70197366","displayToPublicDate":"2018-05-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Environmental influences on the nesting phenology and productivity of Mississippi Kites (<i>Ictinia mississippiensis</i>)","title":"Environmental influences on the nesting phenology and productivity of Mississippi Kites (Ictinia mississippiensis)","docAbstract":"Identifying sources of annual variation in the reproductive success of a species may provide valuable insights into how the species may be affected by future environmental or climatic conditions. We examined annual variation in the nesting phenology, productivity, and apparent nest success of Mississippi Kites (Ictinia mississippiensis), a species common in urban areas in the southern Great Plains, from May through August. We monitored 498 Mississippi Kite nesting attempts in Lubbock, Texas, USA, between 2004 and 2015, from which we modeled daily survival rate as a function of local weather conditions, drought severity, and the state of the El Niño Southern Oscillation. We observed significant annual variation in median incubation initiation date (range = May 20 to June 5), the probability of nest success (range = 0.31–0.90), and productivity (range = 0.25–1.00 fledglings per nest). Our models of daily survival rate suggested that higher daily temperatures, severe storm events, extreme drought conditions, and La Niña events negatively influenced nest survival. These results suggest that increasing storm frequency and higher temperatures associated with climate change are likely to decrease the nesting success of Mississippi Kites in the southern Great Plains.","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-16-165.1","usgsCitation":"Welch, B.C., Boal, C.W., and Skipper, B.R., 2017, Environmental influences on the nesting phenology and productivity of Mississippi Kites (Ictinia mississippiensis): The Condor, v. 119, no. 2, p. 298-307, https://doi.org/10.1650/CONDOR-16-165.1.","productDescription":"10 p.","startPage":"298","endPage":"307","ipdsId":"IP-079361","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469216,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-16-165.1","text":"Publisher Index Page"},{"id":354649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","city":"Lubbock","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -102.32666015625,\n              32.93492866908233\n            ],\n            [\n              -100.8544921875,\n              32.93492866908233\n            ],\n            [\n              -100.8544921875,\n              34.03445260967645\n            ],\n            [\n              -102.32666015625,\n              34.03445260967645\n            ],\n            [\n              -102.32666015625,\n              32.93492866908233\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"119","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155df3e4b092d9651e1b90","contributors":{"authors":[{"text":"Welch, Brandi C.","contributorId":176181,"corporation":false,"usgs":false,"family":"Welch","given":"Brandi","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":737004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":736882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skipper, Ben R.","contributorId":198462,"corporation":false,"usgs":false,"family":"Skipper","given":"Ben","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":737005,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197319,"text":"70197319 - 2017 - Predicting adult muskellunge abundance in northern Wisconsin lakes","interactions":[],"lastModifiedDate":"2018-05-30T12:53:39","indexId":"70197319","displayToPublicDate":"2018-05-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":718,"text":"American Fisheries Society Symposium","active":true,"publicationSubtype":{"id":10}},"seriesNumber":"85","title":"Predicting adult muskellunge abundance in northern Wisconsin lakes","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"American Fisheries Society","isbn":"978-1-934874-46-2","usgsCitation":"Kerns, J., Isermann, D.A., Cichosz, T., Hansen, G., Simonson, T.D., and Hennessy, J., 2017, Predicting adult muskellunge abundance in northern Wisconsin lakes: American Fisheries Society Symposium.","ipdsId":"IP-079704","costCenters":[{"id":199,"text":"Coop Res 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Thomas","contributorId":205310,"corporation":false,"usgs":false,"family":"Cichosz","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":736826,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Gretchen","contributorId":174810,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":736827,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simonson, Timothy D.","contributorId":99439,"corporation":false,"usgs":true,"family":"Simonson","given":"Timothy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":736828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hennessy, Joseph M.","contributorId":199495,"corporation":false,"usgs":false,"family":"Hennessy","given":"Joseph M.","affiliations":[],"preferred":false,"id":736829,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198380,"text":"70198380 - 2017 - Atmospheric deposition of glacial iron in the Gulf of Alaska impacted by the position of the Aleutian Low","interactions":[],"lastModifiedDate":"2018-08-02T15:08:41","indexId":"70198380","displayToPublicDate":"2018-05-01T15:08:34","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Atmospheric deposition of glacial iron in the Gulf of Alaska impacted by the position of the Aleutian Low","docAbstract":"<p><span>Our understanding of glacial flour dust storm delivery of iron to the Gulf of Alaska (GoA) is limited. Here we interpret concurrent time series satellite, meteorological, and aerosol geochemical data from the GoA to examine how interannual variability in regional weather patterns impacts offshore aerosol glacial Fe deposition. In 2011, when a northerly Aleutian Low (AL) was persistent during fall, dust emission was suppressed and highly intermittent due to prevalent wet conditions, low winds, and a deep early season snowpack. Conversely, in 2012, frequent and prolonged fall dust storms and high offshore glacial Fe transport were driven by dry conditions and strong offshore winds generated by persistent strong high pressure over the Alaskan interior and Bering Sea and a southerly AL. Twenty‐five‐fold interannual variability in regional offshore glacial aerosol Fe deposition indicates that glacial dust's impact on GoA nutrient budgets is highly dynamic and particularly sensitive to regional climate forcing.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL073565","usgsCitation":"Schroth, A.W., Crusius, J., Gasso, S., Moy, C.M., Buck, N.J., Resing, J.A., and Campbell, R.W., 2017, Atmospheric deposition of glacial iron in the Gulf of Alaska impacted by the position of the Aleutian Low: Geophysical Research Letters, v. 44, no. 10, p. 5053-5061, https://doi.org/10.1002/2017GL073565.","productDescription":"9 p.","startPage":"5053","endPage":"5061","ipdsId":"IP-086628","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":469217,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl073565","text":"Publisher Index Page"},{"id":356117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf of Alaska","volume":"44","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-29","publicationStatus":"PW","scienceBaseUri":"5b6fc50be4b0f5d57878eaec","contributors":{"authors":[{"text":"Schroth, Andrew W.","contributorId":192042,"corporation":false,"usgs":false,"family":"Schroth","given":"Andrew","email":"","middleInitial":"W.","affiliations":[{"id":17809,"text":"University of Vermont, Burlington","active":true,"usgs":false}],"preferred":false,"id":741305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":741304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gasso, Santiago","contributorId":196444,"corporation":false,"usgs":false,"family":"Gasso","given":"Santiago","email":"","affiliations":[],"preferred":false,"id":741306,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moy, Christopher M.","contributorId":206622,"corporation":false,"usgs":false,"family":"Moy","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":37354,"text":"Geology Department, University of Otago","active":true,"usgs":false}],"preferred":false,"id":741307,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buck, Nathan J.","contributorId":206623,"corporation":false,"usgs":false,"family":"Buck","given":"Nathan","email":"","middleInitial":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":741308,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Resing, Joseph A.","contributorId":206619,"corporation":false,"usgs":false,"family":"Resing","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":37351,"text":"University of Washington; Joint Institute for the Study of the Atmosphere and the Ocean","active":true,"usgs":false}],"preferred":false,"id":741309,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Campbell, Robert W.","contributorId":206624,"corporation":false,"usgs":false,"family":"Campbell","given":"Robert","email":"","middleInitial":"W.","affiliations":[{"id":13600,"text":"Prince William Sound Science Center","active":true,"usgs":false}],"preferred":false,"id":741310,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70187004,"text":"sir20175013 - 2017 - The HayWired Earthquake Scenario","interactions":[{"subject":{"id":70187003,"text":"sir20175013v1 - 2017 - The HayWired earthquake scenario—Earthquake hazards","indexId":"sir20175013v1","publicationYear":"2017","noYear":false,"chapter":"A–H","displayTitle":"The HayWired Earthquake Scenario—Earthquake Hazards","title":"The HayWired earthquake scenario—Earthquake hazards"},"predicate":"IS_PART_OF","object":{"id":70187004,"text":"sir20175013 - 2017 - The HayWired Earthquake Scenario","indexId":"sir20175013","publicationYear":"2017","noYear":false,"title":"The HayWired Earthquake Scenario"},"id":1},{"subject":{"id":70195667,"text":"sir20175013v2 - 2021 - The HayWired earthquake scenario—Engineering implications","indexId":"sir20175013v2","publicationYear":"2021","noYear":false,"chapter":"I–Q","displayTitle":"The HayWired Earthquake Scenario—Engineering Implications","title":"The HayWired earthquake scenario—Engineering implications"},"predicate":"IS_PART_OF","object":{"id":70187004,"text":"sir20175013 - 2017 - The HayWired Earthquake Scenario","indexId":"sir20175013","publicationYear":"2017","noYear":false,"title":"The HayWired Earthquake Scenario"},"id":2},{"subject":{"id":70206048,"text":"sir20175013V3 - 2019 - The HayWired earthquake scenario—Societal consequences","indexId":"sir20175013V3","publicationYear":"2019","noYear":false,"chapter":"R–W","displayTitle":"The HayWired Earthquake Scenario—Societal Consequences","title":"The HayWired earthquake scenario—Societal consequences"},"predicate":"IS_PART_OF","object":{"id":70187004,"text":"sir20175013 - 2017 - The HayWired Earthquake Scenario","indexId":"sir20175013","publicationYear":"2017","noYear":false,"title":"The HayWired Earthquake Scenario"},"id":3}],"lastModifiedDate":"2022-04-22T20:42:59.787763","indexId":"sir20175013","displayToPublicDate":"2018-04-17T12:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5013","title":"The HayWired Earthquake Scenario","docAbstract":"<h1>Foreword</h1><p>The 1906 Great San Francisco earthquake (magnitude 7.8) and the 1989 Loma Prieta earthquake (magnitude 6.9) each motivated residents of the San Francisco Bay region to build countermeasures to earthquakes into the fabric of the region. Since Loma Prieta, bay-region communities, governments, and utilities have invested tens of billions of dollars in seismic upgrades and retrofits and replacements of older buildings and infrastructure. Innovation and state-of-the-art engineering, informed by science, including novel seismic-hazard assessments, have been applied to the challenge of increasing seismic resilience throughout the bay region. However, as long as people live and work in seismically vulnerable buildings or rely on seismically vulnerable transportation and utilities, more work remains to be done.</p><p>With that in mind, the U.S. Geological Survey (USGS) and its partners developed the HayWired scenario as a tool to enable further actions that can change the outcome when the next major earthquake strikes. By illuminating the likely impacts to the present-day built environment, well-constructed scenarios can and have spurred officials and citizens to take steps that change the outcomes the scenario describes, whether used to guide more realistic response and recovery exercises or to launch mitigation measures that will reduce future risk.</p><p>The HayWired scenario is the latest in a series of like-minded efforts to bring a special focus onto the impacts that could occur when the Hayward Fault again ruptures through the east side of the San Francisco Bay region as it last did in 1868. Cities in the east bay along the Richmond, Oakland, and Fremont corridor would be hit hardest by earthquake ground shaking, surface fault rupture, aftershocks, and fault afterslip, but the impacts would reach throughout the bay region and far beyond.&nbsp;The HayWired&nbsp;scenario name reflects our increased reliance on the Internet and telecommunications and also alludes to the interconnectedness of infrastructure, society, and our economy. How would this earthquake scenario, striking close to Silicon Valley, impact our interconnected world in ways and at a scale we have not experienced in any previous domestic earthquake?</p><p>The area of present-day Contra Costa, Alameda, and Santa Clara Counties contended with a magnitude-6.8 earthquake in 1868 on the Hayward Fault. Although sparsely populated then, about 30 people were killed and extensive property damage resulted. The question of what an earthquake like that would do today has been examined before and is now revisited in the HayWired scenario. Scientists have documented a series of prehistoric earthquakes on the Hayward Fault and are confident that the threat of a future earthquake, like that modeled in the HayWired scenario, is real and could happen at any time. The team assembled to build this scenario has brought innovative new approaches to examining the natural hazards, impacts, and consequences of such an event. Such an earthquake would also be accompanied by widespread liquefaction and landslides, which are treated in greater detail than ever before. The team also considers how the now-prototype ShakeAlert earthquake early warning system could provide useful public alerts and automatic actions.</p><p>Scientific Investigations Report 2017–5013 and accompanying data releases are the products of an effort led by the USGS, but this body of work was created through the combined efforts of a large team including partners who have come together to form the HayWired Coalition (see chapter A). Use of the HayWired scenario has already begun. More than a full year of intensive partner engagement, beginning in April 2017, is being directed toward producing the most in-depth look ever at the impacts and consequences of a large earthquake on the Hayward Fault. With the HayWired scenario, our hope is to encourage and support the active ongoing engagement of the entire community of the San Francisco Bay region by providing the scientific, engineering, and economic and social science inputs for use in exercises and planning well into the future.</p><p>As HayWired volumes are published, they will be made available at <a href=\"https://doi.org/10.3133/sir20175013\" target=\"blank\" data-mce-href=\"https://doi.org/10.3133/sir20175013\">https://doi.org/10.3133/sir20175013</a>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175013","usgsCitation":"Detweiler, S.T., and Wein, A.M., eds., 2017, The HayWired earthquake scenario: U.S. Geological Survey Scientific Investigations Report 2017–5013, https://doi.org/10.3133/sir20175013.","productDescription":"3 Volumes","costCenters":[{"id":237,"text":"Earthquake Science 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Release"},"url":"https://doi.org/10.5066/P9CLW518","text":"USGS data release","linkHelpText":"Economic subareas of interest data for areas containing concentrated damage resulting from the April 18, 2018, HayWired earthquake scenario in the San Francisco Bay region, California"},{"id":438107,"rank":11,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94HDTD8","text":"USGS data release","linkHelpText":"Results of individual and collocated lifeline exposure to hazards (and associated hazard and multi-hazard exposure surface data) resulting from the HayWired scenario earthquake sequence for counties and cities in the San Francisco Bay area, California"},{"id":438106,"rank":11,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UWWM0W","text":"USGS data release","linkHelpText":"Selected products of the scenario HayWired earthquake sequence Hazus analyses for 17 counties in the San Francisco Bay region, California"},{"id":353492,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20183016","text":"Fact Sheet 2018-3016","description":"FS 2018-3016","linkHelpText":"– The HayWired Earthquake Scenario—We Can Outsmart Disaster"},{"id":399529,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109753.htm"},{"id":399528,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109190.htm"},{"id":399527,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_107137.htm"},{"id":397249,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://geonarrative.usgs.gov/liquefactionandsealevelrise/","text":"Liquefaction and Sea-Level Rise","linkHelpText":"–  A USGS storymap presenting the impacts of sea-level rise on liquefaction severity around the San Francisco Bay Area, California for the M7.0 ‘HayWired’ earthquake scenario along the Hayward Fault"},{"id":392896,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20213054","text":"Fact Sheet 2021-3054","linkHelpText":"– The HayWired Earthquake Scenario—Societal Consequences"},{"id":368403,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20175013V3","text":"Scientific Investigations Report 2017-5013 Volume 3","description":"SIR 2017-5013 V3","linkHelpText":"– The HayWired Earthquake Scenario—Societal Consequences"},{"id":353491,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20175013v2","text":"Scientific Investigations Report 2017-5013 Volume 2","description":"SIR 2017-5013 V2","linkHelpText":"– The HayWired Earthquake Scenario—Engineering Implications"},{"id":340064,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5013/coverthb1.jpg"},{"id":353442,"rank":2,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20175013v1","text":"Scientific Investigations Report 2017-5013 Volume 1","description":"SIR 2017-5013 V1","linkHelpText":"– The HayWired Earthquake Scenario—Earthquake Hazards"}],"country":"United States","state":"California","otherGeospatial":"Hayward Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123,\n              37\n            ],\n            [\n              -121,\n              37\n            ],\n            [\n              -121,\n              38.65\n            ],\n            [\n              -123,\n              38.65\n            ],\n            [\n              -123,\n              37\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://earthquake.usgs.gov/contactus/menlo/\" target=\"_blank\" data-mce-href=\"https://earthquake.usgs.gov/contactus/menlo/\">Contact Information</a>, Menlo Park, Calif.&nbsp;<br>Office—Earthquake Science Center&nbsp;<br>U.S. Geological Survey&nbsp;<br>345 Middlefield Road, MS 977&nbsp;<br>Menlo Park, CA 94025&nbsp;<br><a href=\"https://earthquake.usgs.gov/\" target=\"_blank\" data-mce-href=\"https://earthquake.usgs.gov/\">https://earthquake.usgs.gov/</a></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-04-24","noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"58ff0e98e4b006455f2d61a0","contributors":{"editors":[{"text":"Detweiler, Shane T. 0000-0001-5699-011X shane@usgs.gov","orcid":"https://orcid.org/0000-0001-5699-011X","contributorId":680,"corporation":false,"usgs":true,"family":"Detweiler","given":"Shane","email":"shane@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":692253,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Wein, Anne M. 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":192951,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":692254,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70190023,"text":"sim3382 - 2017 - Geologic map of the upper Arkansas River valley region, north-central Colorado","interactions":[],"lastModifiedDate":"2018-09-26T16:07:23","indexId":"sim3382","displayToPublicDate":"2018-04-11T14:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3382","title":"Geologic map of the upper Arkansas River valley region, north-central Colorado","docAbstract":"<p>This 1:50,000-scale U.S. Geological Survey geologic map represents a compilation of the most recent geologic studies of the upper Arkansas River valley between Leadville and Salida, Colorado. The valley is structurally controlled by an extensional fault system that forms part of the prominent northern Rio Grande rift, an intra-continental region of crustal extension. This report also incorporates new detailed geologic mapping of previously poorly understood areas within the map area and reinterprets previously studied areas. The mapped region extends into the Proterozoic metamorphic and intrusive rocks in the Sawatch Range west of the valley and the Mosquito Range to the east. Paleozoic rocks are preserved along the crest of the Mosquito Range, but most of them have been eroded from the Sawatch Range. Numerous new isotopic ages better constrain the timing of both Proterozoic intrusive events, Late Cretaceous to early Tertiary intrusive events, and Eocene and Miocene volcanic episodes, including widespread ignimbrite eruptions. The uranium-lead ages document extensive about 1,440-million years (Ma) granitic plutonism mostly north of Buena Vista that produced batholiths that intruded an older suite of about 1,760-Ma metamorphic rocks and about 1,700-Ma plutonic rocks. As a result of extension during the Neogene and possibly latest Paleogene, the graben underlying the valley is filled with thick basin-fill deposits (Dry Union Formation and older sediments), which occupy two sub-basins separated by a bedrock high near the town of Granite. The Dry Union Formation has undergone deep erosion since the late Miocene or early Pliocene. During the Pleistocene, ongoing stream incision by the Arkansas River and its major tributaries has been interrupted by periodic aggradation. From Leadville south to Salida as many as seven mapped alluvial depositional units, that range in age from early to late Pleistocene, record periodic aggradational events along these streams that are commonly associated with deposition of glacial outwash or bouldery glacial-flood deposits. Many previously unrecognized Neogene and Quaternary faults, some of the latter with possible Holocene displacement, have been identified on lidar (light detection and ranging) imagery which covers 59 percent of the map area. This imagery has also permitted more accurate remapping of glacial, fluvial, and mass-movement deposits and aided in the determination of their relative ages. Recently published <sup>10</sup>beryllium cosmogenic surface-exposure ages, coupled with our new geologic mapping, have revealed the timing and rates of late Pleistocene deglaciation. Glacial dams that impounded the Arkansas River at Clear Creek and possibly at Pine Creek failed at least three times during the middle and late Pleistocene, resulting in catastrophic floods and deposition of enormous boulders and bouldery alluvium downstream; at least two failures occurred during the late Pleistocene during the Pinedale glaciation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3382","usgsCitation":"Kellogg, K.S., Shroba, R.R., Ruleman, C.A., Bohannon, R.G., McIntosh, W. C., Premo, W.R., Cosca, M.A., Moscati, R.J., and Brandt, T.R., 2017, Geologic map of the upper Arkansas River valley region, north-central Colorado: U.S. Geological Survey Scientific Investigations Map 3382, pamphlet 70 p., 2 sheets, scale 1:50,000, https://doi.org/10.3133/sim3382.","productDescription":"Report: vi, 70 p.; 4 Sheets; Data Release; Read Me","numberOfPages":"80","onlineOnly":"Y","ipdsId":"IP-078599","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":348012,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75B00XQ","text":"USGS Data Release","description":"USGS data release","linkHelpText":"Data release for the geologic map of the upper Arkansas River valley region, north-central Colorado"},{"id":351653,"rank":9,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/3382/versionHist.txt","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3382 Version History"},{"id":348008,"rank":7,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3382/sim3382_ReadMe.txt","text":"Read Me","size":"12.0 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3382 Read Me"},{"id":348002,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3382/sim3382_sheet1_hillshade.pdf","text":"Sheet 1, with hillshade—","size":"102 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3382 Sheet 1 with hillshade","linkHelpText":"Geologic map with shaded relief"},{"id":347996,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3382/sim3382_sheet1_georeferenced.pdf","text":"Sheet 1, georeferenced—","size":"335 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3382 Sheet 1 georeferenced","linkHelpText":"Georeferenced geologic map"},{"id":348005,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3382/sim3382_sheet2.pdf","text":"Sheet 2—","size":"1.16 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3382 Sheet 2","linkHelpText":" Correlation and description of map units"},{"id":348004,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3382/sim3382_sheet1_no_hillshade.pdf","text":"Sheet 1, without hillshade—","size":"50.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3382 Sheet 1 without hillshade","linkHelpText":"Geologic map without shaded relief"},{"id":347995,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3382/sim3382.pdf","text":"Report","size":"17.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3382 Report"},{"id":347994,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3382/coverthb2.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Upper Arkansas River Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.5,\n              38.5\n            ],\n            [\n              -105.9,\n              38.5\n            ],\n            [\n              -105.9,\n              39.5\n            ],\n            [\n              -106.5,\n              39.5\n            ],\n            [\n              -106.5,\n              38.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/gecsc/\" data-mce-href=\"https://www.usgs.gov/centers/gecsc/\">Geosciences and Environmental Change Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-980<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Geologic History</li><li>Neotectonics and Seismic Hazards</li><li>Hydrologic and Mass-Movement Hazards</li><li>Mineral Deposits</li><li>Description of Map Units</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-11-17","revisedDate":"2018-02-15","noUsgsAuthors":false,"publicationDate":"2017-11-17","publicationStatus":"PW","scienceBaseUri":"5a60fb0ee4b06e28e9c22b76","contributors":{"authors":[{"text":"Kellogg, Karl S.","contributorId":89896,"corporation":false,"usgs":true,"family":"Kellogg","given":"Karl S.","affiliations":[],"preferred":false,"id":718982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shroba, Ralph R. 0000-0002-2664-1813 rshroba@usgs.gov","orcid":"https://orcid.org/0000-0002-2664-1813","contributorId":1266,"corporation":false,"usgs":true,"family":"Shroba","given":"Ralph","email":"rshroba@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":707223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruleman, Chester A.","contributorId":41533,"corporation":false,"usgs":true,"family":"Ruleman","given":"Chester A.","affiliations":[],"preferred":false,"id":718983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bohannon, Robert G. rbohannon@usgs.gov","contributorId":2255,"corporation":false,"usgs":true,"family":"Bohannon","given":"Robert","email":"rbohannon@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":718984,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McIntosh, William C.","contributorId":191163,"corporation":false,"usgs":false,"family":"McIntosh","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":718985,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Premo, Wayne R. 0000-0001-9904-4801 wpremo@usgs.gov","orcid":"https://orcid.org/0000-0001-9904-4801","contributorId":1697,"corporation":false,"usgs":true,"family":"Premo","given":"Wayne","email":"wpremo@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":707226,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":707227,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":707229,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brandt, Theodore R. 0000-0002-7862-9082 tbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-7862-9082","contributorId":1267,"corporation":false,"usgs":true,"family":"Brandt","given":"Theodore","email":"tbrandt@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":707228,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70197311,"text":"70197311 - 2017 - Behavioral and reproductive effects of bird-borne data logger attachment on Brown Pelicans (Pelecanus occidentalis) on three temporal scales","interactions":[],"lastModifiedDate":"2018-05-29T15:21:46","indexId":"70197311","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2409,"text":"Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Behavioral and reproductive effects of bird-borne data logger attachment on Brown Pelicans (<i>Pelecanus occidentalis</i>) on three temporal scales","title":"Behavioral and reproductive effects of bird-borne data logger attachment on Brown Pelicans (Pelecanus occidentalis) on three temporal scales","docAbstract":"<p><span>Although the use of bird-borne data loggers has become widespread in avian field research, the effects of capture and transmitter attachment on behavior and demographic rates are not often measured. Tag- and capture-induced effects on individual behavior, survival and reproduction may limit extrapolation of transmitter data to wider populations. However, measuring individual responses to capture and tagging is a necessary step in developing research techniques that minimize negative effects. We measured the short-term behavioral effects of handling and GPS transmitter attachment on Brown Pelicans under both captive and field conditions, and followed tagged individuals through a full breeding season to assess whether capture and transmitter attachment increased rates of nest abandonment or breeding failure. We observed slight increases in preening among tagged individuals 0–2&nbsp;h after capture relative to controls that had not been captured or tagged, with a corresponding reduction in time spent resting. One to three&nbsp;days post-capture, nesting behavior of tagged pelicans resembled that of neighbors that had not been captured or tagged. Eighty-eight percent of tagged breeders remained at the same nest location for more than 48&nbsp;h after capture, attending nests and chicks for an average of 49&nbsp;days, and 51% were assumed to successfully fledge young. Breeding success was driven primarily by variation in location; however, sex and handling time also influenced the probability of successful breeding in tagged pelicans, suggesting that individual characteristics and the capture process itself can confound the effects of capture and transmitter attachment. We conclude that pelicans fitted with GPS transmitters exhibit comparable behaviors to untagged individuals within a day of capture and that GPS tracking is a viable technique for studying behavior and demography in this species. We also identify measures to minimize post-capture nest abandonment rates in tracking studies, including minimizing handling time and covering nests during processing.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10336-016-1418-3","usgsCitation":"Lamb, J.S., Satge, Y.G., Fiorello, C.V., and Jodice, P.G., 2017, Behavioral and reproductive effects of bird-borne data logger attachment on Brown Pelicans (Pelecanus occidentalis) on three temporal scales: Journal of Ornithology, v. 158, no. 2, p. 617-627, https://doi.org/10.1007/s10336-016-1418-3.","productDescription":"11 p.","startPage":"617","endPage":"627","ipdsId":"IP-073599","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469218,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10336-016-1418-3","text":"Publisher Index Page"},{"id":354546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.7783203125,\n              25\n            ],\n            [\n              -82,\n              25\n            ],\n            [\n              -82,\n              30.86451022625836\n            ],\n            [\n              -97.7783203125,\n              30.86451022625836\n            ],\n            [\n              -97.7783203125,\n              25\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"158","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-01","publicationStatus":"PW","scienceBaseUri":"5b155df4e4b092d9651e1b96","contributors":{"authors":[{"text":"Lamb, Juliet S. 0000-0003-0358-3240","orcid":"https://orcid.org/0000-0003-0358-3240","contributorId":198059,"corporation":false,"usgs":false,"family":"Lamb","given":"Juliet","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":736677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Satge, Yvan G.","contributorId":200132,"corporation":false,"usgs":false,"family":"Satge","given":"Yvan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":736678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fiorello, Christine V.","contributorId":172678,"corporation":false,"usgs":false,"family":"Fiorello","given":"Christine","email":"","middleInitial":"V.","affiliations":[{"id":27076,"text":"Oiled Wildlife Care Network, UC Davis","active":true,"usgs":false}],"preferred":false,"id":736679,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":200009,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":736617,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194673,"text":"70194673 - 2017 - Element migration of pyrites during ductile deformation of the Yuleken porphyry Cu deposit (NW-China)","interactions":[],"lastModifiedDate":"2018-09-20T16:35:26","indexId":"70194673","displayToPublicDate":"2018-03-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Element migration of pyrites during ductile deformation of the Yuleken porphyry Cu deposit (NW-China)","docAbstract":"<p><span>The strongly deformed Yuleken porphyry Cu deposit (YPCD) occurs in the Kalaxiangar porphyry Cu belt (KPCB), which occupies the central area of the Central Asian Orogenic Belt (CAOB) between the Sawu’er island arc and the Altay Terrane in northern Xinjiang. The YPCD is one of several typical subduction-related deposits in the KPCB, which has undergone syn-collisional and post-collisional metallogenic overprinting. The YPCD is characterized by three pyrite-forming stages, namely a hydrothermal stage A (Py I), a syn-ductile deformation stage B (Py II) characterized by Cu-Au enrichment, and a fracture-filling stage C (Py III). In this study, we conducted systematic petrographic and geochemical studies of pyrites and coexist biotite, which formed during different stages, in order to constrain the physicochemical conditions of the ore formation. Euhedral, fragmented Py I has low Pb and high Te and Se concentration and Ni contents are low with Co/Ni ratios mostly between 1 and 10 (average 9.00). Py I is further characterized by enrichments of Bi, As, Ni, Cu, Te and Se in the core relative to the rim domains. Anhedral round Py II has moderate Co and Ni contents with high Co/Ni ratios &gt;10 (average 95.2), and average contents of 46.5 ppm Pb and 5.80 ppm Te. Py II is further characterized by decreasing Bi, Cu, Pb, Zn, Ag, Te, Mo, Sb and Au contents from the rim to the core domains. Annealed Py III has the lowest Co content of all pyrite types with Co/Ni ratios mostly &lt;0.1 (average 1.33). Furthermore, Py III has average contents of 3.31 ppm Pb, 1.33 ppm Te and 94.6 ppm Se. In addition, Fe does not correlate with Cu and S in the Py I and Py III, while Py II displays a negative correlation between Fe and Cu as well as a positive correlation between Fe and S. Therefore, pyrites which formed during different tectonic regimes also have different chemical compositions. Biotite geothermometer and oxygen fugacity estimates display increasing temperatures and oxygen fugacities from stage A to stage B, while temperature and oxygen fugacities decrease from stage B to stage C. The Co/Ni ratio of pyrite depends discriminates between the different mineralizing stages in the Yuleken porphyry copper deposit: Py II, associated with the deformation stage B and Cu-enrichment, shows higher Co/Ni ratios and enrichments of Pb, Zn, Mo, Te and Sb than the pyrites formed during the other two stages. The Co/Ni ratio of pyrite can not only apply to discriminate the submarine exhalative, magmatic or sedimentary origins for ore deposits but also can distinguish different ore-forming stages in a single porphyry Cu deposit. Thus, Co/Ni ratio of pyrites may act as an important exploration tool to distinguish pyrites from Cu-rich versus barren area. Furthermore, the distribution of Cu, Mo, Pb, Au, Bi, Sb and Zn in the variably deformed pyrite is proportional to the extent of deformation of the pyrites, indicating in accordance with variable physicochemical conditions different element migration behavior during the different stages of deformation and, thus, mineralisation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2017.10.019","usgsCitation":"Hong, T., Xu, X., Gao, J., Peters, S., Li, J., Cao, M., Xiang, P., Wu, C., and You, J., 2017, Element migration of pyrites during ductile deformation of the Yuleken porphyry Cu deposit (NW-China): Ore Geology Reviews, v. 100, p. 205-219, https://doi.org/10.1016/j.oregeorev.2017.10.019.","productDescription":"15 p.","startPage":"205","endPage":"219","ipdsId":"IP-092178","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":352972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee788e4b0da30c1bfc2ba","contributors":{"authors":[{"text":"Hong, Tao","contributorId":201265,"corporation":false,"usgs":false,"family":"Hong","given":"Tao","email":"","affiliations":[],"preferred":false,"id":724856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xu, Xing-Wang","contributorId":201266,"corporation":false,"usgs":false,"family":"Xu","given":"Xing-Wang","email":"","affiliations":[],"preferred":false,"id":724857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gao, Jungang","contributorId":201267,"corporation":false,"usgs":false,"family":"Gao","given":"Jungang","email":"","affiliations":[],"preferred":false,"id":724858,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peters, Stephen 0000-0002-4431-5675 speters@usgs.gov","orcid":"https://orcid.org/0000-0002-4431-5675","contributorId":167263,"corporation":false,"usgs":true,"family":"Peters","given":"Stephen","email":"speters@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":724855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Jilei","contributorId":201276,"corporation":false,"usgs":false,"family":"Li","given":"Jilei","email":"","affiliations":[],"preferred":false,"id":724859,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cao, Mingjian","contributorId":201277,"corporation":false,"usgs":false,"family":"Cao","given":"Mingjian","email":"","affiliations":[],"preferred":false,"id":724860,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xiang, Peng","contributorId":201270,"corporation":false,"usgs":false,"family":"Xiang","given":"Peng","email":"","affiliations":[],"preferred":false,"id":724861,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wu, Chu","contributorId":201272,"corporation":false,"usgs":false,"family":"Wu","given":"Chu","email":"","affiliations":[],"preferred":false,"id":724862,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"You, Jun","contributorId":201273,"corporation":false,"usgs":false,"family":"You","given":"Jun","email":"","affiliations":[],"preferred":false,"id":724863,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70238847,"text":"70238847 - 2017 - Extending the habitat concept to the airspace","interactions":[],"lastModifiedDate":"2022-12-15T13:15:20.502484","indexId":"70238847","displayToPublicDate":"2018-03-24T09:29:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Extending the habitat concept to the airspace","docAbstract":"<p><span>Habitat is one of the most familiar and fundamental concepts in the fields of ecology, animal behavior, and wildlife conservation and management. Humans interact with habitats through their senses and experiences and education to such a degree that their perceptions of habitat have become second nature. For this reason, it may be difficult at first to accept the airspace as habitat, an area that is invisible, untouchable, highly dynamic, and its occupants difficult to see. Nonetheless, the habitat concept, by definition and in practice, applies readily to the airspace. Some ecological and behavioral processes including habitat selection, foraging, and reproduction are operational in the airspace, while others, particularly those mediated by resource limitation such as territoriality, are likely uncommon if present at all. The behaviors of flying animals increasingly expose them to anthropogenic hazards as development of the airspace accelerates. This exacerbates the need to identify approaches for managing these human–wildlife conflicts in aerial habitats, especially where human safety or at-risk populations are concerned. The habitat concept has proven useful in shaping environmental law and policy to help mitigate these conflicts. It remains to be seen whether current law can bend to include a more expansive concept of habitat that includes the airspace.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Aeroecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-68576-2_3","usgsCitation":"Diehl, R.H., Peterson, A.C., Bolus, R.T., and Johnson, D., 2017, Extending the habitat concept to the airspace, chap. <i>of</i> Aeroecology, p. 47-69, https://doi.org/10.1007/978-3-319-68576-2_3.","productDescription":"23 p.","startPage":"47","endPage":"69","ipdsId":"IP-072820","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":410476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2018-03-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Diehl, Robert H. 0000-0001-9141-1734 rhdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9141-1734","contributorId":3396,"corporation":false,"usgs":true,"family":"Diehl","given":"Robert","email":"rhdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":858902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Anna C.","contributorId":299880,"corporation":false,"usgs":false,"family":"Peterson","given":"Anna","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":858903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bolus, Rachel T. rbolus@usgs.gov","contributorId":299881,"corporation":false,"usgs":false,"family":"Bolus","given":"Rachel","email":"rbolus@usgs.gov","middleInitial":"T.","affiliations":[{"id":32977,"text":"Southern Utah University","active":true,"usgs":false}],"preferred":false,"id":858904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":220516,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":858905,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185961,"text":"sim3378 - 2017 - Hydrogeologic characteristics and geospatial analysis of water-table changes in the alluvium of the lower Arkansas River Valley, southeastern Colorado, 2002, 2008, and 2015","interactions":[],"lastModifiedDate":"2018-03-08T14:30:44","indexId":"sim3378","displayToPublicDate":"2018-03-08T15:25:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3378","title":"Hydrogeologic characteristics and geospatial analysis of water-table changes in the alluvium of the lower Arkansas River Valley, southeastern Colorado, 2002, 2008, and 2015","docAbstract":"<p>The U.S. Geological Survey in cooperation with the Lower Arkansas Valley Water Conservancy District measures groundwater levels periodically in about 100 wells completed in the alluvial material of the Arkansas River Valley in Pueblo, Crowley, Otero, Bent, and Prowers Counties in southeastern Colorado, of which 95 are used for the analysis in this report. The purpose of this report is to provide information to water-resource administrators, managers, planners, and users about groundwater characteristics in the alluvium of the lower Arkansas Valley extending roughly 150 miles between Pueblo Reservoir and the Colorado-Kansas State line. This report includes three map sheets showing (1) bedrock altitude at the base of the alluvium of the lower Arkansas Valley; (2) estimated spring-to-spring and fall-to-fall changes in water-table altitude between 2002, 2008, and 2015; and (3) estimated saturated thickness in the alluvium during spring and fall of 2002, 2008, and 2015, and thickness of the alluvium in the lower Arkansas Valley. Water-level changes were analyzed by geospatial interpolation methods.</p><p>Available data included all water-level measurements made between January 1, 2001, and December 31, 2015; however, only data from fall and spring of 2002, 2008, and 2015 are mapped in this report. To account for the effect of John Martin Reservoir in Bent County, Colorado, lake levels at the reservoir were assigned to points along the approximate shoreline and were included in the water-level dataset. After combining the water-level measurements and lake levels, inverse distance weighting was used to interpolate between points and calculate the altitude of the water table for fall and spring of each year for comparisons. Saturated thickness was calculated by subtracting the bedrock surface from the water-table surface. Thickness of the alluvium was calculated by subtracting the bedrock surface from land surface using a digital elevation model.</p><p>In order to analyze the response of the alluvium to varying environmental and anthropogenic conditions, the percentage of area of the lower Arkansas Valley showing an absolute change of 3 feet or less was calculated for each of the six water-table altitude change maps. For fall water-table altitude change maps, the periods between 2002 and 2008, 2008 and 2015, and 2002 and 2015 showed that 86.5 percent, 85.2 percent, and 66.3 percent of the study area, respectively, showed a net change of 3 feet or less. In the spring water-table altitude change maps these periods showed a net change of 3 feet or less in 94.4 percent, 96.1 percent, and 90.2 percent of the study area, respectively. While the estimated change in water-table altitude was slightly greater and more variable in fall-to-fall comparisons, these high percentages of area with relatively small net changes indicated that, at least in comparisons of the years presented, there was not a large amount of fluctuation in the altitude of the water table.</p><p class=\"BodyNoIndent\"><span>The saturated thickness in the lower Arkansas Valley was between 25 and 50 feet in 34.4 to 35.9 percent of the study area, depending on the season and year. Between 30.2 and 35.6 percent of the area showed saturated thicknesses between 0 and 25 feet. Less than 1 percent of the area showed a saturated thickness greater than 200 feet in all mapped seasons and years.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3378","collaboration":"Prepared in cooperation with the Lower Arkansas Valley Water Conservancy District","usgsCitation":"Holmberg, M.J., 2017, Hydrogeologic characteristics and geospatial analysis of water-table changes in the alluvium of the lower Arkansas River Valley, southeastern Colorado, 2002, 2008, and 2015: U.S. Geological Survey Scientific Investigations Map 3378, pamphlet 9 p., 3 sheets, scale 1:130,000 and 1:575, 000, https://doi.org/10.3133/sim3378.","productDescription":"Report: vi, 9 p.; 3 Sheets: 43.0 x 32.0 inches or smaller; 2 Appendixes; Data Release; Read Me","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-081751","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":341216,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3378/sim3378_sheet3.pdf","text":"Sheet 3","size":"17.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3378 Sheet 3","linkHelpText":" Estimated Saturated Thickness of the Alluvium, Spring 2002, 2008, and 2015; Fall, 2002, 2008, and 2015, and Estimated Thickness of the Alluvium in the Lower Arkansas River Valley, Southeast Colorado"},{"id":341219,"rank":8,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3378/sim3378Readme.txt","text":"Read Me","size":"12.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3378 Read Me"},{"id":341217,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sim/3378/sim3387_appendix1.xlsx","text":"Appendix 1","size":"36.0 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIM 3378 Appendix 1","linkHelpText":"Well Information and Measured Water Levels in the lower Arkansas Valley, Southeast Colorado, 2001–2015"},{"id":341213,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3378/coverthb.jpg"},{"id":341303,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71G0JF6","text":"USGS data release","description":"USGS data release","linkHelpText":"Hydrogeologic Characteristics and Geospatial Analysis of Water-Table Changes in the Alluvium of the Lower Arkansas River Valley, Southeastern Colorado, 2002, 2008, and 2015"},{"id":341215,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3378/sim3378_sheet2.pdf","text":"Sheet 2","size":"17.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3378 Sheet 2","linkHelpText":"Estimated Change in Water-Table Altitude, Spring-to-Spring, 2002–2008, 2018–2015, and 2002–2015;  Fall-to-Fall, 2002–2008, 2018–2015, and 2002–2015; and Locations of Monitoring Wells in the Alluvium of the Lower Arkansas River Valley, Southeast Colorado"},{"id":341218,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sim/3378/sim3387_appendix2.pdf","text":"Appendix 2","size":"572 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3378 Appendix 2","linkHelpText":" Hydrographs Showing Water-Table Altitude in Select Monitoring Wells in  the lower Arkansas Valley and Water-Surface Altitude in John Martin Reservoir, Southeast Colorado, 2001–2015"},{"id":341223,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3378/sim3378_sheet1.pdf","text":"Sheet 1","size":"8.02 MB ","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3378 Sheet 1","linkHelpText":" Bedrock Altitude at the Base of the Alluvium of the Lower Arkansas River Valley, Southeast Colorado"},{"id":341221,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3378/sim3378.pdf","text":"Report","size":"1.25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3378 Report"}],"country":"United States","state":"Colorado","otherGeospatial":"Arkansas River Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.66125488281249,\n              37.93986540897977\n            ],\n            [\n              -102.041015625,\n              37.93986540897977\n            ],\n            [\n              -102.041015625,\n              38.29424797320529\n            ],\n            [\n              -104.66125488281249,\n              38.29424797320529\n            ],\n            [\n              -104.66125488281249,\n              37.93986540897977\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://co.water.usgs.gov/\" data-mce-href=\"http://co.water.usgs.gov/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-415<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Hydrogeologic Characteristics</li><li>Geospatial Analysis of Water-Table Change</li><li>References Cited</li><li>Appendix 1. Well Information and Measured Water Levels in the lower Arkansas Valley, Southeast Colorado, 2001–2015</li><li>Appendix 2. Hydrographs Showing Water-Table Altitude in Select Monitoring Wells in the lower Arkansas Valley and Water-Surface Altitude in John Martin Reservoir, Southeast Colorado, 2001–2015</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-05-15","noUsgsAuthors":false,"publicationDate":"2017-05-15","publicationStatus":"PW","scienceBaseUri":"591abe3be4b0a7fdb43c8c13","contributors":{"authors":[{"text":"Holmberg, Michael J. mholmber@usgs.gov","contributorId":175442,"corporation":false,"usgs":true,"family":"Holmberg","given":"Michael J.","email":"mholmber@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":687189,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193266,"text":"70193266 - 2017 - Timing of autumn migration of Sora (Porzana carolina) in Missouri","interactions":[],"lastModifiedDate":"2018-03-28T15:15:19","indexId":"70193266","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Timing of autumn migration of Sora (<i>Porzana carolina</i>) in Missouri","title":"Timing of autumn migration of Sora (Porzana carolina) in Missouri","docAbstract":"<p><span>Monitoring and conserving waterbirds, including Sora (</span><i>Porzana carolina</i><span>), in Missouri, is constrained by the lack of information on migration phenology. We performed nocturnal distance sampling surveys by ATV across 11 state and federal managed wetlands in Missouri, USA from 2012–2015 to compare the timing of Sora' autumn migration among years. Migration of Sora in Missouri began in the first week of August, on average it peaked on 25 September, and continued through the last week of October. We detected migration of Sora earlier in autumn than did previous work. We found the start and end of migration did not vary annually in 3 of 4 years. With our results, wetland managers should be able to better time their management for rails in Missouri.</span></p>","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/16-108.1","usgsCitation":"Fournier, A., Mengel, D.C., Gbur, E.E., and Krementz, D.G., 2017, Timing of autumn migration of Sora (Porzana carolina) in Missouri: Wilson Journal of Ornithology, v. 129, no. 4, p. 765-770, https://doi.org/10.1676/16-108.1.","productDescription":"6 p.","startPage":"765","endPage":"770","ipdsId":"IP-071137","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":352872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"129","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee788e4b0da30c1bfc2bc","contributors":{"authors":[{"text":"Fournier, Auriel M. V.","contributorId":176535,"corporation":false,"usgs":false,"family":"Fournier","given":"Auriel M. V.","affiliations":[],"preferred":false,"id":731939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mengel, Doreen C.","contributorId":203619,"corporation":false,"usgs":false,"family":"Mengel","given":"Doreen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":731940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gbur, Edward E.","contributorId":203620,"corporation":false,"usgs":false,"family":"Gbur","given":"Edward","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":731941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718479,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70195499,"text":"70195499 - 2017 - Testing the limits of temporal stability: Willingness to pay values among Grand Canyon whitewater boaters across decades","interactions":[],"lastModifiedDate":"2018-02-18T13:58:46","indexId":"70195499","displayToPublicDate":"2018-02-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Testing the limits of temporal stability: Willingness to pay values among Grand Canyon whitewater boaters across decades","docAbstract":"<p>We directly compare trip willingness to pay (WTP) values between 1985 and 2015 stated preference surveys of private party Grand Canyon boaters using identically designed valuation methods. The temporal gap of 30 years between these two studies is well beyond that of any tests of WTP temporal stability in the literature. Comparisons were made of mean WTP estimates for four hypothetical Colorado River flow level scenarios. WTP values from the 1985 survey were adjusted to 2015 levels using the consumer price index. Mean WTP precision was estimated through simulation. No statistically significant differences were detected between the adjusted Bishop et al. (1987) and the current study mean WTP estimates. Examination of pooled models of the data from the studies suggest that while the estimated WTP values are stable over time, the underlying valuation functions may not be, particularly when the data and models are corrected to account for differing bid structures and possible panel effects.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017WR020729","usgsCitation":"Neher, C.J., Duffield, J., Bair, L.S., Patterson, D.A., and Neher, K., 2017, Testing the limits of temporal stability: Willingness to pay values among Grand Canyon whitewater boaters across decades: Water Resources Research, v. 53, no. 12, p. 10108-10120, https://doi.org/10.1002/2017WR020729.","productDescription":"13 p.","startPage":"10108","endPage":"10120","ipdsId":"IP-084682","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":461315,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr020729","text":"Publisher Index Page"},{"id":438113,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7M044C9","text":"USGS data release","linkHelpText":"Grand Canyon Whitewater Boater Data, Temporal Stability of Willingness to Pay Values"},{"id":351777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","volume":"53","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee788e4b0da30c1bfc2be","contributors":{"authors":[{"text":"Neher, Chris J.","contributorId":202569,"corporation":false,"usgs":false,"family":"Neher","given":"Chris","email":"","middleInitial":"J.","affiliations":[{"id":36482,"text":"Department of Mathematical Sciences, University of Montana","active":true,"usgs":false}],"preferred":false,"id":728925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duffield, John","contributorId":202570,"corporation":false,"usgs":false,"family":"Duffield","given":"John","email":"","affiliations":[{"id":36482,"text":"Department of Mathematical Sciences, University of Montana","active":true,"usgs":false}],"preferred":false,"id":728926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bair, Lucas S. 0000-0002-9911-3624 lbair@usgs.gov","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":5270,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","email":"lbair@usgs.gov","middleInitial":"S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":728924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patterson, David A.","contributorId":175326,"corporation":false,"usgs":false,"family":"Patterson","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":36482,"text":"Department of Mathematical Sciences, University of Montana","active":true,"usgs":false}],"preferred":false,"id":728927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neher, Katherine","contributorId":202571,"corporation":false,"usgs":false,"family":"Neher","given":"Katherine","email":"","affiliations":[{"id":36483,"text":"Bioeconomics, Inc. Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":728928,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195159,"text":"70195159 - 2017 - Control of landslide volume and hazard by glacial stratigraphic architecture, Northwest Washington state, USA","interactions":[],"lastModifiedDate":"2018-02-08T09:31:33","indexId":"70195159","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Control of landslide volume and hazard by glacial stratigraphic architecture, Northwest Washington state, USA","docAbstract":"Landslide volumes span many orders of magnitude, but large-volume slides tend to travel\nfarther and consequently can pose a greater hazard. In northwest Washington State, USA, a\nlandscape abounding with landslides big and small, the recent occurrence of the large-volume\nand tragically deadly State Route 530 (Oso) landslide is a stark reminder of the hazards\nassociated with glacial terraces lining valleys of the western Cascade Range. What controls\nthe differences in location and size of these slope failures? Here, we examine the control on\nlandslide volume and failure style by terrace sedimentary architecture. We analyze lidar\ntopographic data in three nearby valleys and find significant variation in landslide deposit\nvolumes, morphology, and relative mobility in each valley. Geologic data show that each site\ndiffers in the thickness and position of outwash, tills, and glaciolacustrine clays. Combining\na three-dimensional limit-equilibrium slope-stability analysis (Scoops3D) with simulations\nof variably saturated groundwater flow (VS2Dt), we show that landslide volumes are highly\nsensitive both to the distribution of material strength as well as the location of perched water\ntables. Modeled landslides match observed failure sizes and depths in all valleys when the\neffects of variably saturated groundwater flow are included. The position and thickness of\nlow-strength strata act as first-order controls on landslide volume, with peak volumes for\nstratigraphic geometries similar to that of the valley containing the Oso landslide. Knowledge\nof feedbacks between lithology and hydrology is therefore critical to assess the landslide\nhazard and evolution of landscapes composed of stratigraphically layered units.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G39691.1","usgsCitation":"Perkins, J., Reid, M.E., and Schmidt, K.M., 2017, Control of landslide volume and hazard by glacial stratigraphic architecture, Northwest Washington state, USA: Geology, v. 45, no. 12, p. 1139-1142, https://doi.org/10.1130/G39691.1.","productDescription":"4 p.","startPage":"1139","endPage":"1142","ipdsId":"IP-086196","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":351303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -126.7822265625,\n              45.9511496866914\n            ],\n            [\n              -119.0478515625,\n              45.9511496866914\n            ],\n            [\n              -119.0478515625,\n              49.56797785892715\n            ],\n            [\n              -126.7822265625,\n              49.56797785892715\n            ],\n            [\n              -126.7822265625,\n              45.9511496866914\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-19","publicationStatus":"PW","scienceBaseUri":"5a7c1e6de4b00f54eb22929b","contributors":{"authors":[{"text":"Perkins, Jonathan","contributorId":201949,"corporation":false,"usgs":true,"family":"Perkins","given":"Jonathan","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":727247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":727248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Kevin M. 0000-0003-2365-8035 kschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-2365-8035","contributorId":1985,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kevin","email":"kschmidt@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":727249,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194999,"text":"70194999 - 2017 - Host susceptibility to snake fungal disease is highly dispersed across phylogenetic and functional trait space","interactions":[],"lastModifiedDate":"2018-02-02T13:46:24","indexId":"70194999","displayToPublicDate":"2018-02-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Host susceptibility to snake fungal disease is highly dispersed across phylogenetic and functional trait space","docAbstract":"Emerging infectious diseases (EIDs) reduce host population sizes, cause extinction, disassemble communities, and have indirect negative effects on human well-being. Fungal EIDs have reduced population abundances in amphibians and bats across many species over large areas. The recent emergence of snake fungal disease (SFD) may have caused declines in some snake populations in the Eastern United States (EUS), which is home to a phylogenetically and ecologically diverse assembly of 98 taxa. SFD has been documented in only 23 naturally occuring species, although this is likely an underestimate of the number of susceptible taxa. Using several novel methods, including artificial neural networks, we combine phylogenetic and trait-based community estimates from all taxa in this region to show that SFD hosts are both phylogenetically and ecologically randomly dispersed. This might indicate that other species of snakes in the EUS could be currently infected or susceptible to SFD. Our models also indicate that information about key traits that enhance susceptiblity is lacking. Surveillance should consider that all snake species and habitats likely harbor this pathogen.","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.1701387","usgsCitation":"Burbrink, F.T., Lorch, J.M., and Lips, K.R., 2017, Host susceptibility to snake fungal disease is highly dispersed across phylogenetic and functional trait space: Science Advances, v. 3, no. 12, e1701387; 9 p., https://doi.org/10.1126/sciadv.1701387.","productDescription":"e1701387; 9 p.","ipdsId":"IP-081412","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":461317,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.1701387","text":"Publisher Index Page"},{"id":350945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"12","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7586d8e4b00f54eb1d81e6","contributors":{"authors":[{"text":"Burbrink, Frank T.","contributorId":201581,"corporation":false,"usgs":false,"family":"Burbrink","given":"Frank","email":"","middleInitial":"T.","affiliations":[{"id":36210,"text":"The American Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":726507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":726506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lips, Karen R.","contributorId":26258,"corporation":false,"usgs":true,"family":"Lips","given":"Karen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":726508,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195020,"text":"70195020 - 2017 - Effects of lava heating on volatile-rich slopes on Io","interactions":[],"lastModifiedDate":"2018-11-01T14:42:54","indexId":"70195020","displayToPublicDate":"2018-02-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Effects of lava heating on volatile-rich slopes on Io","docAbstract":"The upper crust of Io may be very rich in volatile sulfur and SO2. The surface is also highly volcanically active, and slopes may be warmed by radiant heat from the lava. This is particularly the case in paterae, which commonly host volcanic eruptions and long-lived lava lakes. Paterae slopes are highly variable, but some are greater than 70°. I model the heating of a volatile slope for two end-member cases: instantaneous emplacement of a large sheet flow, and persistent heating by a long-lived lava lake. In general, single flows can briefly raise sulfur to the melting temperature, or drive a modest amount of sublimation of SO2. Persistently lava-covered surfaces will drive much more significant geomorphic effects, with potentially significant sublimation and slope retreat. In addition to the direct effects, heating is likely to weaken slope materials and may trigger mass wasting. Thus, if the upper crust of Io is rich in these volatile species, future missions with high-resolution imaging are likely to observe actively retreating slopes around lava lakes and other locations of frequent eruptions.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JE005177","usgsCitation":"Dundas, C.M., 2017, Effects of lava heating on volatile-rich slopes on Io: Journal of Geophysical Research E: Planets, v. 122, p. 546-559, https://doi.org/10.1002/2016JE005177.","productDescription":"16 p.","startPage":"546","endPage":"559","ipdsId":"IP-077825","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":350986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-20","publicationStatus":"PW","scienceBaseUri":"5a7586d6e4b00f54eb1d81da","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":726594,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70195017,"text":"70195017 - 2017 - Estimating the impact of oyster restoration scenarios on transient fish production","interactions":[],"lastModifiedDate":"2018-02-02T14:11:54","indexId":"70195017","displayToPublicDate":"2018-02-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the impact of oyster restoration scenarios on transient fish production","docAbstract":"<p><span>Oyster reef restoration projects are increasing in number both to enhance oyster density and to retain valuable ecosystem services provided by oyster reefs. Although some oyster restoration projects have demonstrated success by increasing density and biomass of transient fish, it still remains a challenge to quantify the effects of oyster restoration on transient fish communities. We developed a bioenergetics model to assess the impact of selected oyster reef restoration scenarios on associated transient fish species. We used the model to analyze the impact of changes in (1) oyster population carrying capacity; (2) oyster population growth rate; and (3) diet preference of transient fish on oyster reef development and associated transient fish species. Our model results indicate that resident fish biomass is directly affected by oyster restoration and oyster biomass, and oyster restoration can have cascading impacts on transient fish biomass. Furthermore, the results highlight the importance of a favorable oyster population growth rate during early restoration years, as it can lead to rapid increases in mean oyster biomass and biomass of transient fish species. The model also revealed that a transient fish's diet solely dependent on oyster reef-derived prey could limit the biomass of transient fish species, emphasizing the importance of habitat connectivity in estuarine areas to enhance transient fish species biomass. Simple bioenergetics models can be developed to understand the dynamics of a system and make qualitative predictions of management and restoration scenarios.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12498","usgsCitation":"McCoy, E., Borrett, S.R., LaPeyre, M.K., and Peterson, B.J., 2017, Estimating the impact of oyster restoration scenarios on transient fish production: Restoration Ecology, v. 25, no. 5, p. 798-809, https://doi.org/10.1111/rec.12498.","productDescription":"12 p.","startPage":"798","endPage":"809","ipdsId":"IP-079135","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","volume":"25","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-02","publicationStatus":"PW","scienceBaseUri":"5a7586d6e4b00f54eb1d81dd","contributors":{"authors":[{"text":"McCoy, Elizabeth","contributorId":201616,"corporation":false,"usgs":false,"family":"McCoy","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":726577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borrett, Stuart R.","contributorId":201617,"corporation":false,"usgs":false,"family":"Borrett","given":"Stuart","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":726578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":726576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Bradley J.","contributorId":84502,"corporation":false,"usgs":true,"family":"Peterson","given":"Bradley","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":726579,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}