{"pageNumber":"1038","pageRowStart":"25925","pageSize":"25","recordCount":184717,"records":[{"id":70193058,"text":"70193058 - 2016 - The removal kinetics of dissolved organic matter and the optical clarity of groundwater","interactions":[],"lastModifiedDate":"2018-08-07T12:18:30","indexId":"70193058","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"The removal kinetics of dissolved organic matter and the optical clarity of groundwater","docAbstract":"<p><span>Concentrations of dissolved organic matter (DOM) and ultraviolet/visible light absorbance decrease systematically as groundwater moves through the unsaturated zones overlying aquifers and along flowpaths within aquifers. These changes occur over distances of tens of meters (m) implying rapid removal kinetics of the chromophoric DOM that imparts color to groundwater. A one-compartment input-output model was used to derive a differential equation describing the removal of DOM from the dissolved phase due to the combined effects of biodegradation and sorption. The general solution to the equation was parameterized using a 2-year record of dissolved organic carbon (DOC) concentration changes in groundwater at a long-term observation well. Estimated rates of DOC loss were rapid and ranged from 0.093 to 0.21 micromoles per liter per day (μM d</span><sup>−1</sup><span>), and rate constants for DOC removal ranged from 0.0021 to 0.011 per day (d</span><sup>−1</sup><span>). Applying these removal rate constants to an advective-dispersion model illustrates substantial depletion of DOC over flow-path distances of 200&nbsp;m or less and in timeframes of 2&nbsp;years or less. These results explain the low to moderate DOC concentrations (20–75&nbsp;μM; 0.26–1&nbsp;mg&nbsp;L</span><sup>−1</sup><span>) and ultraviolet absorption coefficient values (</span><i class=\"EmphasisTypeItalic \">a</i><sub>254</sub><span> &lt; 5&nbsp;m</span><sup>−1</sup><span>) observed in groundwater produced from 59 wells tapping eight different aquifer systems of the United States. The nearly uniform optical clarity of groundwater, therefore, results from similarly rapid DOM-removal kinetics exhibited by geologically and hydrologically dissimilar aquifers.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-016-1406-y","usgsCitation":"Chapelle, F.H., Shen, Y., Strom, E.W., and Benner, R., 2016, The removal kinetics of dissolved organic matter and the optical clarity of groundwater: Hydrogeology Journal, v. 24, no. 6, p. 1413-1422, https://doi.org/10.1007/s10040-016-1406-y.","productDescription":"10 p.","startPage":"1413","endPage":"1422","ipdsId":"IP-071739","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":470254,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-016-1406-y","text":"Publisher Index Page"},{"id":438468,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GB2257","text":"USGS data release","linkHelpText":"Data release for journal article entitled Removal Kinetics of Dissolved Organic Matter and the Optical Clarity of Groundwater - Supporting Data"},{"id":349215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Colorado, Connecticut, Georgia, Illinois, Nebraska, South Carolina, Texas, Utah","volume":"24","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-08","publicationStatus":"PW","scienceBaseUri":"5a60fc5ae4b06e28e9c23da4","contributors":{"authors":[{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shen, Yuan","contributorId":176364,"corporation":false,"usgs":false,"family":"Shen","given":"Yuan","email":"","affiliations":[],"preferred":false,"id":717773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Strom, Eric W. ewstrom@usgs.gov","contributorId":337,"corporation":false,"usgs":true,"family":"Strom","given":"Eric","email":"ewstrom@usgs.gov","middleInitial":"W.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benner, Ronald","contributorId":57380,"corporation":false,"usgs":true,"family":"Benner","given":"Ronald","affiliations":[],"preferred":false,"id":717775,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190046,"text":"70190046 - 2016 - Records of continental slope sediment flow morphodynamic responses to gradient and active faulting from integrated AUV and ROV data, offshore Palos Verdes, southern California Borderland","interactions":[],"lastModifiedDate":"2017-11-29T16:36:36","indexId":"70190046","displayToPublicDate":"2017-08-07T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Records of continental slope sediment flow morphodynamic responses to gradient and active faulting from integrated AUV and ROV data, offshore Palos Verdes, southern California Borderland","docAbstract":"<p><span>Variations in seabed gradient are widely acknowledged to influence deep-water deposition, but are often difficult to measure in sufficient detail from both modern and ancient examples. On the continental slope offshore Los Angeles, California, autonomous underwater vehicle, remotely operated vehicle, and shipboard methods were used to collect a dense grid of high-resolution multibeam bathymetry, chirp sub-bottom profiles, and targeted sediment core samples that demonstrate the influence of seafloor gradient on sediment accumulation, depositional environment, grain size of deposits, and seafloor morphology. In this setting, restraining and releasing bends along the active right-lateral Palos Verdes Fault create and maintain variations in seafloor gradient. Holocene down-slope flows appear to have been generated by slope failure, primarily on the uppermost slope (~</span><span>&nbsp;</span><span>100–200</span><span>&nbsp;</span><span>m water depth). Turbidity currents created a low relief (&lt;</span><span>&nbsp;</span><span>10</span><span>&nbsp;</span><span>m) channel, up-slope migrating sediment waves (λ</span><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>~</span><span>&nbsp;</span><span>100</span><span>&nbsp;</span><span>m, h</span><span>&nbsp;</span><span>≤</span><span>&nbsp;</span><span>2</span><span>&nbsp;</span><span>m), and a series of depocenters that have accumulated up to 4</span><span>&nbsp;</span><span>m of Holocene sediment. Sediment waves increase in wavelength and decrease in wave height with decreasing gradient. Integrated analysis of high-resolution datasets provides quantification of morphodynamic sensitivity to seafloor gradients acting throughout deep-water depositional systems. These results help to bridge gaps in scale between existing deep-sea and experimental datasets and may provide constraints for future numerical modeling studies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2016.10.001","usgsCitation":"Maier, K., Brothers, D.S., Paull, C.K., McGann, M., Caress, D.W., and Conrad, J.E., 2016, Records of continental slope sediment flow morphodynamic responses to gradient and active faulting from integrated AUV and ROV data, offshore Palos Verdes, southern California Borderland: Marine Geology, v. 393, p. 47-66, https://doi.org/10.1016/j.margeo.2016.10.001.","productDescription":"20 p.","startPage":"47","endPage":"66","ipdsId":"IP-074023","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2016.10.001","text":"Publisher Index Page"},{"id":344624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"393","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59897c15e4b09fa1cb0c2c0c","contributors":{"authors":[{"text":"Maier, Katherine L.","contributorId":91411,"corporation":false,"usgs":true,"family":"Maier","given":"Katherine L.","affiliations":[],"preferred":false,"id":707301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":167089,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":707302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paull, Charles K. 0000-0001-5940-3443","orcid":"https://orcid.org/0000-0001-5940-3443","contributorId":55825,"corporation":false,"usgs":false,"family":"Paull","given":"Charles","email":"","middleInitial":"K.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":true,"id":707303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":707304,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caress, David W.","contributorId":147392,"corporation":false,"usgs":false,"family":"Caress","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":16837,"text":"MBARI","active":true,"usgs":false}],"preferred":false,"id":707305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Conrad, James E. 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":2316,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":707306,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189741,"text":"70189741 - 2016 - Amino acid specific stable nitrogen isotope values in avian tissues: Insights from captive American kestrels and wild herring gulls","interactions":[],"lastModifiedDate":"2017-07-24T10:29:38","indexId":"70189741","displayToPublicDate":"2017-07-24T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Amino acid specific stable nitrogen isotope values in avian tissues: Insights from captive American kestrels and wild herring gulls","docAbstract":"<p><span>Through laboratory and field studies, the utility of amino acid compound-specific nitrogen isotope analysis (AA-CSIA) in avian studies is investigated. Captive American kestrels (</span><i>Falco sparverius</i><span>) were fed an isotopically characterized diet and patterns in δ</span><sup>15</sup><span>N values of amino acids (AAs) were compared to those in their tissues (muscle and red blood cells) and food. Based upon nitrogen isotope discrimination between diet and kestrel tissues, AAs could mostly be categorized as source AAs (retaining baseline δ</span><sup>15</sup><span>N values) and trophic AAs (showing<span>&nbsp;</span></span><sup>15</sup><span>N enrichment). Trophic discrimination factors based upon the source (phenylalanine, Phe) and trophic (glutamic acid, Glu) AAs were 4.1 (muscle) and 5.4 (red blood cells), lower than those reported for metazoan invertebrates. In a field study involving omnivorous herring gulls (</span><i>Larus argentatus smithsonianus</i><span>), egg AA isotopic patterns largely retained those observed in the laying female’s tissues (muscle, red blood cells, and liver). Realistic estimates of gull trophic position were obtained using bird Glu and Phe δ</span><sup>15</sup><span>N values combined with β values (difference in Glu and Phe δ</span><sup>15</sup><span>N in primary producers) for aquatic and terrestrial food webs. Egg fatty acids were used to weight β values for proportions of aquatic and terrestrial food in gull diets. This novel approach can be applied to generalist species that feed across ecosystem boundaries.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.6b04407","usgsCitation":"Hebert, C.E., Popp, B., Fernie, K., Ka'apu-Lyons, C., Rattner, B.A., and Wallsgrove, N., 2016, Amino acid specific stable nitrogen isotope values in avian tissues: Insights from captive American kestrels and wild herring gulls: Environmental Science & Technology, v. 50, no. 23, p. 12928-12937, https://doi.org/10.1021/acs.est.6b04407.","productDescription":"10 p.","startPage":"12928","endPage":"12937","ipdsId":"IP-073929","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":344227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"23","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-11","publicationStatus":"PW","scienceBaseUri":"5977074ee4b0ec1a48889f60","contributors":{"authors":[{"text":"Hebert, Craig E.","contributorId":127337,"corporation":false,"usgs":false,"family":"Hebert","given":"Craig","email":"","middleInitial":"E.","affiliations":[{"id":6781,"text":"Environment Canada, Carelton University, Ottawa, Canada","active":true,"usgs":false}],"preferred":false,"id":706052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Popp, B.N.","contributorId":194996,"corporation":false,"usgs":false,"family":"Popp","given":"B.N.","email":"","affiliations":[],"preferred":false,"id":706053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fernie, K.J.","contributorId":194997,"corporation":false,"usgs":false,"family":"Fernie","given":"K.J.","affiliations":[],"preferred":false,"id":706054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ka'apu-Lyons, C.","contributorId":194998,"corporation":false,"usgs":false,"family":"Ka'apu-Lyons","given":"C.","affiliations":[],"preferred":false,"id":706055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":706051,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wallsgrove, N.","contributorId":194999,"corporation":false,"usgs":false,"family":"Wallsgrove","given":"N.","email":"","affiliations":[],"preferred":false,"id":706056,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189626,"text":"70189626 - 2016 - An investigation of soil-structure interaction effects observed at the MIT Green Building","interactions":[],"lastModifiedDate":"2017-07-19T10:40:23","indexId":"70189626","displayToPublicDate":"2017-07-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"An investigation of soil-structure interaction effects observed at the MIT Green Building","docAbstract":"<p><span>The soil-foundation impedance function of the MIT Green Building is identified from its response signals recorded during an earthquake. Estimation of foundation impedance functions from seismic response signals is a challenging task, because: (1) the foundation input motions (FIMs) are not directly measurable, (2) the as-built properties of the super-structure are only approximately known, and (3) the soil-foundation impedance functions are inherently frequency-dependent. In the present study, aforementioned difficulties are circumvented by using, in succession, a blind modal identification (BMID) method, a simplified Timoshenko beam model (TBM), and a parametric updating of transfer functions (TFs). First, the flexible-base modal properties of the building are identified from response signals using the BMID method. Then, a flexible-base TBM is updated using the identified modal data. Finally, the frequency-dependent soil-foundation impedance function is estimated by minimizing the discrepancy between TFs (of pairs instrumented floors) that are (1) obtained experimentally from earthquake data and (2) analytically from the updated TBM. Using the fully identified flexible-base TBM, the FIMs as well as building responses at locations without instruments can be predicted, as demonstrated in the present study.</span></p>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1193/072215EQS118M","usgsCitation":"Taciroglu, E., Çelebi, M., Ghahari, S.F., and Abazarsa, F., 2016, An investigation of soil-structure interaction effects observed at the MIT Green Building: Earthquake Spectra, v. 32, no. 4, p. 2425-2448, https://doi.org/10.1193/072215EQS118M.","productDescription":"24 p.","startPage":"2425","endPage":"2448","ipdsId":"IP-067185","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":344009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachussets","city":"Cambridge","otherGeospatial":"MIT Green Building","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.11175537109375,\n              42.34547721740614\n            ],\n            [\n              -71.06609344482422,\n              42.34547721740614\n            ],\n            [\n              -71.06609344482422,\n              42.36704215735293\n            ],\n            [\n              -71.11175537109375,\n              42.36704215735293\n            ],\n            [\n              -71.11175537109375,\n              42.34547721740614\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"32","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-01","publicationStatus":"PW","scienceBaseUri":"59706fb6e4b0d1f9f065a88d","contributors":{"authors":[{"text":"Taciroglu, Ertugrul","contributorId":176616,"corporation":false,"usgs":false,"family":"Taciroglu","given":"Ertugrul","email":"","affiliations":[],"preferred":false,"id":705484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Çelebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":3205,"corporation":false,"usgs":true,"family":"Çelebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":705483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ghahari, S. Farid","contributorId":168417,"corporation":false,"usgs":false,"family":"Ghahari","given":"S.","email":"","middleInitial":"Farid","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":705485,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abazarsa, Fariba","contributorId":176615,"corporation":false,"usgs":false,"family":"Abazarsa","given":"Fariba","email":"","affiliations":[],"preferred":false,"id":705486,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189622,"text":"70189622 - 2016 - Helium as a tracer for fluids released from Juan de Fuca lithosphere beneath the Cascadia forearc","interactions":[],"lastModifiedDate":"2017-07-19T11:01:43","indexId":"70189622","displayToPublicDate":"2017-07-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1756,"text":"Geochemistry International","active":true,"publicationSubtype":{"id":10}},"title":"Helium as a tracer for fluids released from Juan de Fuca lithosphere beneath the Cascadia forearc","docAbstract":"The ratio between helium isotopes (3He/4He) provides an excellent geochemical tracer for investigating the sources of fluids sampled at the Earth's surface. 3He/4He values observed in 25 mineral springs and wells above the Cascadia forearc document a significant component of mantle-derived helium above Juan de Fuca lithosphere, as well as variability in 3He enrichment across the forearc. Sample sites arcward of the forearc mantle corner (FMC) generally yield significantly higher ratios (1.2-4.0 RA) than those seaward of the corner (0.03-0.7 RA). The highest ratios in the Cascadia forearc coincide with slab depths (40-45 km) where metamorphic dehydration of young oceanic lithosphere is expected to release significant fluid and where tectonic tremor occurs, whereas little fluid is expected to be released from the slab depths (25-30 km) beneath sites seaward of the corner.Tremor (considered a marker for high fluid pressure) and high RA values in the forearc are spatially correlated. The Cascadia tremor band is centered on its FMC, and we tentatively postulate that hydrated forearc mantle beneath Cascadia deflects a significant portion of slab-derived fluids updip along the subduction interface, to vent in the vicinity of its corner. Furthermore, high RA values within the tremor band just arcward of the FMC, suggest that the innermost mantle wedge is relatively permeable.Conceptual models require: (1) a deep fluid source as a medium to transport primordial 3He; (2) conduits through the lithosphere which serve to speed fluid ascent to the surface before significant dilution from radiogenic 4He can occur; and (3) near lithostatic fluid pressure to keep conduits open. Our spatial correlation between high RA values and tectonic tremor provides independent evidence that tremor is associated with deep fluids, and it further suggests that high pore pressures associated with tremor may serve to keep fractures open for 3He migration through ductile upper mantle and lower crust.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GC006198","usgsCitation":"McCrory, P.A., Constantz, J., Hunt, A.G., and Blair, J.L., 2016, Helium as a tracer for fluids released from Juan de Fuca lithosphere beneath the Cascadia forearc: Geochemistry International, v. 17, no. 6, p. 2423-2449, https://doi.org/10.1002/2015GC006198.","productDescription":"16 p.","startPage":"2423","endPage":"2449","ipdsId":"IP-065405","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":344014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New 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jconstan@usgs.gov","orcid":"https://orcid.org/0000-0002-4062-2096","contributorId":1962,"corporation":false,"usgs":true,"family":"Constantz","given":"James E.","email":"jconstan@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":705471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":705472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blair, J. Luke 0000-0002-6980-6446 lblair@usgs.gov","orcid":"https://orcid.org/0000-0002-6980-6446","contributorId":4146,"corporation":false,"usgs":true,"family":"Blair","given":"J.","email":"lblair@usgs.gov","middleInitial":"Luke","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705473,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188794,"text":"70188794 - 2016 - PhasePApy: A robust pure Python package for automatic identification of seismic phases","interactions":[],"lastModifiedDate":"2017-06-27T13:11:00","indexId":"70188794","displayToPublicDate":"2017-06-23T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"PhasePApy: A robust pure Python package for automatic identification of seismic phases","docAbstract":"<p><span>We developed a Python phase identification package: the PhasePApy for earthquake data processing and near‐real‐time monitoring. The package takes advantage of the growing number of Python libraries including Obspy. All the data formats supported by Obspy can be supported within the PhasePApy. The PhasePApy has two subpackages: the PhasePicker and the Associator, aiming to identify phase arrival onsets and associate them to phase types, respectively. The PhasePicker and the Associator can work jointly or separately. Three autopickers are implemented in the PhasePicker subpackage: the frequency‐band picker, the Akaike information criteria function derivative picker, and the kurtosis picker. All three autopickers identify picks with the same processing methods but different characteristic functions. The PhasePicker triggers the pick with a dynamic threshold and can declare a pick with false‐pick filtering. Also, the PhasePicker identifies a pick polarity and uncertainty for further seismological analysis, such as focal mechanism determination. Two associators are included in the Associator subpackage: the 1D Associator and 3D Associator, which assign phase types to picks that can best fit potential earthquakes by minimizing root mean square (rms) residuals of the misfits in distance and time, respectively. The Associator processes multiple picks from all channels at a seismic station and aggregates them to increase computational efficiencies. Both associators use travel‐time look up tables to determine the best estimation of the earthquake location and evaluate the phase type for picks. The PhasePApy package has been used extensively for local and regional earthquakes and can work for active source experiments as well.</span></p>","language":"English","publisher":" Seismological Society of America","doi":"10.1785/0220160019","usgsCitation":"Chen, C., and Holland, A., 2016, PhasePApy: A robust pure Python package for automatic identification of seismic phases: Seismological Research Letters, v. 87, no. 6, p. 1384-1396, https://doi.org/10.1785/0220160019.","productDescription":"13 p.","startPage":"1384","endPage":"1396","ipdsId":"IP-076924","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":342828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-31","publicationStatus":"PW","scienceBaseUri":"594e28b0e4b062508e3abe0f","contributors":{"authors":[{"text":"Chen, Chen","contributorId":193408,"corporation":false,"usgs":false,"family":"Chen","given":"Chen","email":"","affiliations":[],"preferred":false,"id":700385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holland, Austin 0000-0002-7843-1981 aaholland@usgs.gov","orcid":"https://orcid.org/0000-0002-7843-1981","contributorId":173969,"corporation":false,"usgs":true,"family":"Holland","given":"Austin","email":"aaholland@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":700386,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70181000,"text":"70181000 - 2016 - Modeling the geographic distribution of <i>Ixodes scapularis</i> and <i>Ixodes pacificus</i> (Acari: Ixodidae) in the contiguous United States","interactions":[],"lastModifiedDate":"2017-08-29T09:49:04","indexId":"70181000","displayToPublicDate":"2017-06-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2385,"text":"Journal of Medical Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the geographic distribution of <i>Ixodes scapularis</i> and <i>Ixodes pacificus</i> (Acari: Ixodidae) in the contiguous United States","docAbstract":"<p><span>In addition to serving as vectors of several other human pathogens, the black-legged tick, </span><i>Ixodes scapularis</i><span> Say, and western black-legged tick, </span><i>Ixodes pacificus</i><span> Cooley and Kohls, are the primary vectors of the spirochete (</span><i>Borrelia burgdorferi</i><span> ) that causes Lyme disease, the most common vector-borne disease in the United States. Over the past two decades, the geographic range of </span><i>I. pacificus</i><span> has changed modestly while, in contrast, the </span><i>I. scapularis</i><span> range has expanded substantially, which likely contributes to the concurrent expansion in the distribution of human Lyme disease cases in the Northeastern, North-Central and Mid-Atlantic states. Identifying counties that contain suitable habitat for these ticks that have not yet reported established vector populations can aid in targeting limited vector surveillance resources to areas where tick invasion and potential human risk are likely to occur. We used county-level vector distribution information and ensemble modeling to map the potential distribution of </span><i>I. scapularis</i><span> and </span><i>I. pacificus</i><span> in the contiguous United States as a function of climate, elevation, and forest cover. Results show that </span><i>I. pacificus</i><span> is currently present within much of the range classified by our model as suitable for establishment. In contrast, environmental conditions are suitable for </span><i>I. scapularis</i><span> to continue expanding its range into northwestern Minnesota, central and northern Michigan, within the Ohio River Valley, and inland from the southeastern and Gulf coasts. Overall, our ensemble models show suitable habitat for </span><i>I. scapularis</i><span> in 441 eastern counties and for </span><i>I. pacificus</i><span> in 11 western counties where surveillance records have not yet supported classification of the counties as established.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jme/tjw076","usgsCitation":"Hahn, M., Jarnevich, C.S., Monaghan, A.J., and Eisen, R.J., 2016, Modeling the geographic distribution of <i>Ixodes scapularis</i> and <i>Ixodes pacificus</i> (Acari: Ixodidae) in the contiguous United States: Journal of Medical Entomology, v. 53, no. 5, p. 1176-1191, https://doi.org/10.1093/jme/tjw076.","productDescription":"16 p.","startPage":"1176","endPage":"1191","ipdsId":"IP-073160","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470256,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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We reconstruct and analyse effects of high human population densities in forests of the Jemez Mountains, New Mexico from <i>ca</i> 1300 CE to Present. Prior to the 1680 Pueblo Revolt, human land uses reduced the occurrence of widespread fires while simultaneously adding more ignitions resulting in many small-extent fires. During the 18th and 19th centuries, wet/dry oscillations and their effects on fuels dynamics controlled widespread fire occurrence. In the late 19th century, intensive livestock grazing disrupted fuels continuity and fire spread and then active fire suppression maintained the absence of widespread surface fires during most of the 20th century. The abundance and continuity of fuels is the most important controlling variable in fire regimes of these semi-arid forests. Reduction of widespread fires owing to reduction of fuel continuity emerges as a hallmark of extensive human impacts on past forests and fire regimes.</p>","language":"English","publisher":"The Royal Society","doi":"10.1098/rstb.2015.0168","usgsCitation":"Swetnam, T., Farella, J., Roos, C.I., Liebmann, M.J., Falk, D., and Allen, C.D., 2016, Multiscale perspectives of fire, climate and humans in western North America and the Jemez Mountains, USA: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 371, Article 20150168; 13 p., https://doi.org/10.1098/rstb.2015.0168.","productDescription":"Article 20150168; 13 p.","ipdsId":"IP-071623","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470257,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rstb.2015.0168","text":"Publisher Index Page"},{"id":335167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.995849609375,\n              35.44277092585766\n            ],\n            [\n              -106.995849609375,\n              35.96689214303232\n            ],\n            [\n              -106.38885498046875,\n              35.96689214303232\n            ],\n            [\n              -106.38885498046875,\n              35.44277092585766\n            ],\n            [\n              -106.995849609375,\n              35.44277092585766\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"371","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-05","publicationStatus":"PW","scienceBaseUri":"593e2523e4b0764e6c61b72f","contributors":{"authors":[{"text":"Swetnam, Thomas W.","contributorId":90455,"corporation":false,"usgs":false,"family":"Swetnam","given":"Thomas W.","affiliations":[],"preferred":false,"id":663318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farella, Joshua","contributorId":179332,"corporation":false,"usgs":false,"family":"Farella","given":"Joshua","email":"","affiliations":[],"preferred":false,"id":663319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roos, Christopher I.","contributorId":51009,"corporation":false,"usgs":false,"family":"Roos","given":"Christopher","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":663320,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liebmann, Matthew J.","contributorId":179334,"corporation":false,"usgs":false,"family":"Liebmann","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":663321,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falk, Donald A.","contributorId":90230,"corporation":false,"usgs":true,"family":"Falk","given":"Donald A.","affiliations":[],"preferred":false,"id":663322,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":663317,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70188102,"text":"70188102 - 2016 - Transformational principles for NEON sampling of mammalian parasites and pathogens: A response to Springer and colleagues","interactions":[],"lastModifiedDate":"2017-05-31T13:09:58","indexId":"70188102","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Transformational principles for NEON sampling of mammalian parasites and pathogens: A response to Springer and colleagues","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biw123","usgsCitation":"Cook, J.A., Greiman, S.E., Agosta, S.J., Anderson, R.P., Arbogast, B.S., Baker, R.J., Boeger, W., Bradley, R., Brooks, D.R., Cole, R.A., Demboski, J.R., Dobson, A.P., Dunnum, J.L., Eckerlin, R.P., Esselstyn, J.A., Galbreath, K.E., Hawdon, J., Hoekstra, H.E., Kutz, S.J., Light, J.E., Olson, L., Patterson, B.D., Patton, J.L., Phillips, A.J., Rickart, E., Rogers, D.S., Siddall, M.E., Tkach, V.V., and Hoberg, E.P., 2016, Transformational principles for NEON sampling of mammalian parasites and pathogens: A response to Springer and colleagues: BioScience, v. 66, no. 11, p. 917-919, https://doi.org/10.1093/biosci/biw123.","productDescription":"3 p.","startPage":"917","endPage":"919","ipdsId":"IP-077940","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":470258,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biw123","text":"Publisher Index Page"},{"id":341934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"11","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-07","publicationStatus":"PW","scienceBaseUri":"592fd63de4b0e9bd0ea896ec","contributors":{"authors":[{"text":"Cook, Joseph A.","contributorId":8323,"corporation":false,"usgs":false,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":696731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greiman, Stephen E.","contributorId":190336,"corporation":false,"usgs":false,"family":"Greiman","given":"Stephen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":696732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Agosta, Salvatore J.","contributorId":192527,"corporation":false,"usgs":false,"family":"Agosta","given":"Salvatore","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":696733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Robert P.","contributorId":192528,"corporation":false,"usgs":false,"family":"Anderson","given":"Robert","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":696734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arbogast, B. 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,{"id":70187160,"text":"70187160 - 2016 - Hydrologic exchange flows and their ecological consequences in river corridors","interactions":[],"lastModifiedDate":"2020-08-20T20:03:41.486146","indexId":"70187160","displayToPublicDate":"2017-04-26T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"Hydrologic exchange flows and their ecological consequences in river corridors","docAbstract":"The actively flowing waters of streams and rivers remain in close contact with surrounding off-channel and subsurface environments. These hydrologic linkages between relatively fast flowing channel waters, with more slowly flowing waters off-channel and in the subsurface, are collectively referred to as hydrologic exchange flows (HEFs). HEFs include surface exchange with a channel’s marginal areas and subsurface flow through the streambed (hyporheic flow), as well as storm-driven bank storage and overbank flows onto floodplains. HEFs are important, not only for storing water and attenuating flood peaks, but also for their role in influencing water conservation, water quality improvement, and related outcomes for ecological values and services of aquatic ecosystems. Biogeochemical opportunities for chemical transformations are increased by HEFs as a result of the prolonged contact between flowing waters and geochemically and microbially active surfaces of sediments and vegetation. Chemical processing is intensified and water quality is often improved by removal of excess nutrients, metals, and organic contaminants from flowing waters. HEFs also are important regulators of organic matter decomposition, nutrient recycling, and stream metabolism that helps establish a balanced and resilient aquatic food web. The shallow and protected storage zones associated with HEFs support nursery and feeding areas for aquatic organisms that sustain aquatic biological diversity. Understanding of these varied roles for HEFs has been driven by the related disciplines of stream ecology, fluvial geomorphology, surface-water hydraulics, and groundwater hydrology. A current research emphasis is on the role that HEFs play in altered flow regimes, including restoration to achieve diverse goals, such as expanding aquatic habitats and managing dissolved and suspended river loads to reduce over-fertilization of coastal waters and offset wetland loss. New integrative concepts and models are emerging (eg, hydrologic connectivity) that emphasize HEF functions in river corridors over a wide range of spatial and temporal scales.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Stream ecosystems in a changing environment","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-405890-3.00001-4","usgsCitation":"Harvey, J., 2016, Hydrologic exchange flows and their ecological consequences in river corridors, chap. 1 <i>of</i> Stream ecosystems in a changing environment, p. 1-83, https://doi.org/10.1016/B978-0-12-405890-3.00001-4.","productDescription":"84 p.","startPage":"1","endPage":"83","ipdsId":"IP-069432","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":340429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1bae4b0c2e071a99b94","contributors":{"authors":[{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":692865,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70161898,"text":"70161898 - 2016 - Assessing the seismic risk potential of South America","interactions":[],"lastModifiedDate":"2017-04-25T10:36:02","indexId":"70161898","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Assessing the seismic risk potential of South America","docAbstract":"<p>We present here a simplified approach to quantifying regional seismic risk. The seismic risk for a given region can be inferred in terms of average annual loss (AAL) that represents long-term value of earthquake losses in any one year caused from a long-term seismic hazard. The AAL are commonly measured in the form of earthquake shaking-induced deaths, direct economic impacts or indirect losses caused due to loss of functionality. In the context of South American subcontinent, the analysis makes use of readily available public data on seismicity, population exposure, and the hazard and vulnerability models for the region. The seismic hazard model was derived using available seismic catalogs, fault databases, and the hazard methodologies that are analogous to the U.S. Geological Survey’s national seismic hazard mapping process. The Prompt Assessment of Global Earthquakes for Response (PAGER) system’s direct empirical vulnerability functions in terms of fatality and economic impact were used for performing exposure and risk analyses. The broad findings presented and the risk maps produced herein are preliminary, yet they do offer important insights into the underlying zones of high and low seismic risks in the South American subcontinent. A more detailed analysis of risk may be warranted by engaging local experts, especially in some of the high risk zones identified through the present investigation.</p>","language":"English","publisher":"European Association for Earthquake Engineering","usgsCitation":"Jaiswal, K.S., Petersen, M.D., Harmsen, S., and Smoczyk, G.M., 2016, Assessing the seismic risk potential of South America, 12 p.","productDescription":"12 p.","ipdsId":"IP-056093","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":340238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340237,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.eaee.org/proceedings-of-2ecces-eaee-sessions"}],"otherGeospatial":"South America","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006063e4b0e85db3a5ddd5","contributors":{"authors":[{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harmsen, Stephen harmsen@usgs.gov","contributorId":152128,"corporation":false,"usgs":true,"family":"Harmsen","given":"Stephen","email":"harmsen@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smoczyk, Gregory M. 0000-0002-6591-4060 gsmoczyk@usgs.gov","orcid":"https://orcid.org/0000-0002-6591-4060","contributorId":5239,"corporation":false,"usgs":true,"family":"Smoczyk","given":"Gregory","email":"gsmoczyk@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588071,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176282,"text":"70176282 - 2016 - Contributions of moderately low flows and large floods to geomorphic change in the Rio Puerco Arroyo, New Mexico","interactions":[],"lastModifiedDate":"2017-04-19T13:38:17","indexId":"70176282","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Contributions of moderately low flows and large floods to geomorphic change in the Rio Puerco Arroyo, New Mexico","docAbstract":"Abstract—From the mid-1800s to around 1930, monsoonal floods incised an arroyo roughly 100 m wide and 10 m deep along the lower Rio Puerco, NM, from the confluence with the Rio San Jose downstream to the mouth at the Rio Grande, causing sedimentation and flooding downstream. Since the 1930s, the channel has greatly narrowed, a densely vegetated floodplain has developed, the arroyo has partly filled, and downstream sedimentation has greatly decreased. Application of herbicide to a 12-km reach of the arroyo in 2003 to control non-native saltcedar (Tamarix spp.) prompted ongoing studies of channel change in the presence and absence of dense, riparian, woody vegetation. We used digital terrain models and satellite imagery to quantify changes in channel width and location in the sprayed reach and in an unsprayed reach downstream during a moderately low-flow interval (November 2006 to March 2010) and during an interval with a large flood (March 2010 to January/February 2014). Channel width increased in magnitude and variability in the sprayed reach but not in the unsprayed reach over both intervals, continuing a pattern first observed in an earlier study of the period 2003 to 2006. Since the herbicide application in 2003, there have been a total of five meander cutoffs in the sprayed reach and none in the unsprayed reach. In kilometer-long sections of the sprayed reach, channel width is now approaching that at the beginning of the period of channel narrowing in 1935.","largerWorkTitle":"New Mexico Fall Field Conference Guidebook","language":"English","usgsCitation":"Griffin, E.R., and Friedman, J.M., 2016, Contributions of moderately low flows and large floods to geomorphic change in the Rio Puerco Arroyo, New Mexico, <i>in</i> New Mexico Fall Field Conference Guidebook, p. 439-446.","productDescription":"8 p.","startPage":"439","endPage":"446","ipdsId":"IP-072814","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":339975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339974,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://nmgs.nmt.edu/publications/guidebooks/67/"}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Puerco 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,{"id":70176891,"text":"70176891 - 2016 - Review of suspended sediment in lower South Bay relevant to light attenuation and phytoplankton blooms","interactions":[],"lastModifiedDate":"2017-04-19T10:00:56","indexId":"70176891","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Review of suspended sediment in lower South Bay relevant to light attenuation and phytoplankton blooms","docAbstract":"<p>Lower South Bay (LSB), a shallow subembayment of San Francisco Bay (SFB), is situated south of the Dumbarton Bridge, and is surrounded by, and interconnected with, a network of sloughs, marshes, and former salt ponds undergoing restoration (Figure ES.1). LSB receives 120 million gallons per day of treated wastewater effluent from three publicly owned treatment works (POTWs) that service San Jose and the densely populated surrounding region. During the dry season, when flows from creeks and streams are at their minimum, POTW effluent comprises the majority of freshwater flow to Lower South Bay. Although LSB has a large tidal prism, it experiences limited net exchange with the surrounding Bay, because much of the water that leaves on ebb tides returns during the subsequent flood tides. The limited exchange leads to distinctly different biogeochemical conditions in LSB compared to other SFB subembayments, including LSB having the highest nutrient concentrations and highest phytoplankton biomass. </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Lower South Bay Nutrient Synthesis","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"San Francisco Estuary Institute & Aquatic Science Center","publisherLocation":"Richmond, CA","usgsCitation":"Schoellhamer, D., Shellenbarger, G., Downing-Kunz, M.A., and Manning, A.J., 2016, Review of suspended sediment in lower South Bay relevant to light attenuation and phytoplankton blooms, 24 p.","productDescription":"24 p.","startPage":"23","endPage":"56","ipdsId":"IP-053620","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":339918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":329479,"type":{"id":15,"text":"Index Page"},"url":"https://sfbaynutrients.sfei.org/sites/default/files/LSB_Synthesis_Draft_June%202015.b.pdf"}],"country":"United States","state":"California","city":"San Francisco","otherGeospatial":"Lower South Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.14025878906249,\n              37.35269280367274\n            ],\n            [\n              -121.3714599609375,\n              37.35269280367274\n            ],\n            [\n              -121.3714599609375,\n              38.33734763569314\n            ],\n            [\n              -123.14025878906249,\n              38.33734763569314\n            ],\n            [\n              -123.14025878906249,\n              37.35269280367274\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877ade4b0b7ea54521c02","contributors":{"authors":[{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shellenbarger, Gregory gshellen@usgs.gov","contributorId":174805,"corporation":false,"usgs":true,"family":"Shellenbarger","given":"Gregory","email":"gshellen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Downing-Kunz, Maureen A. 0000-0002-4879-0318 mdowning-kunz@usgs.gov","orcid":"https://orcid.org/0000-0002-4879-0318","contributorId":3690,"corporation":false,"usgs":true,"family":"Downing-Kunz","given":"Maureen","email":"mdowning-kunz@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manning, Andrew J.","contributorId":175079,"corporation":false,"usgs":false,"family":"Manning","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":691920,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70174134,"text":"70174134 - 2016 - Foreword: The dynamics of change in Alaska’s boreal forests: Resilience and vulnerability in response to climate warming","interactions":[],"lastModifiedDate":"2020-12-17T19:15:56.22088","indexId":"70174134","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Foreword: The dynamics of change in Alaska’s boreal forests: Resilience and vulnerability in response to climate warming","docAbstract":"<p><span>Long-term research by the Bonanza Creek (BNZ) Long Term Ecological Research (LTER) program has documented natural patterns of interannual and successional variability of the boreal forest in interior Alaska against which we can detect changes in system behavior. Between 2004 and 2010 the BNZ LTER program focused on understanding the dynamics of change through studying the resilience and vulnerability of Alaska's boreal forest in response to climate warming. The overarching question in this endeavor has been “How are boreal ecosystems responding, both gradually and abruptly, to climate warming, and what new landscape patterns are emerging?”</span></p>","language":"English","publisher":"NRC Research Press","usgsCitation":"McGuire, A.D., Chapin, F.S., and Ruess, R.W., 2016, Foreword: The dynamics of change in Alaska’s boreal forests: Resilience and vulnerability in response to climate warming: Canadian Journal of Forest Research, v. 40, no. 7, p. 1195-1196.","productDescription":"2 p.","startPage":"1195","endPage":"1196","ipdsId":"IP-022491","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":339950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339949,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.treesearch.fs.fed.us/pubs/39026"}],"country":"United 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,{"id":70176604,"text":"70176604 - 2016 - Glacial Lake Hitchcock and the sea: Fieldtrip Guidebook for the 78th Annual Reunion of the Northeast Friends of the Pleistocene","interactions":[],"lastModifiedDate":"2017-04-19T12:48:11","indexId":"70176604","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Glacial Lake Hitchcock and the sea: Fieldtrip Guidebook for the 78th Annual Reunion of the Northeast Friends of the Pleistocene","docAbstract":"The fieldtrip will demonstrate the evidence for a close connection of Lake Hitchcock levels\nwith lake levels and the position of sea level in Long Island Sound via a channel cut into glacial\nlake deposits in the lower Connecticut River valley, which issuperposed on a bedrock ridge at\nthe mouth of the Connecticut River. On the trip we will explain important offshore features like\nan extensive  ‐40‐m marine delta, and the altitudes of “The Race” spillway cut through the\nHarbor Hill moraine, Block Channel spillway cut through the terminal moraine, and the  ‐85‐m\nBlock Delta built into Last Glacial Maximum (LGM) eustatic sea level 115 km south of the\nterminal moraine. The history of lake levels and knowledge of eustatic sea levels provided by the\nBarbadossea level curve (Bard and others, 1990) have implications for the magnitude of glacio‐\nisostatic depression and the timing of rebound.  We will also review recent refinements to\nthe chronology of ice retreat through the region as a result of new varve cores and the newly\ncalibrated North American Varve Chronology (NAVC) (Ridge, 2004, Ridge and others, 2012)\nand discuss implications for the timing and mechanism of glacial Lake Hitchcock drainage in\nConnecticut.","language":"English","publisher":"State Geological and Natural History of Connecticut","publisherLocation":"Hartford, CT","usgsCitation":"Stone, J.R., Ridge, J., Lewis, R., and DiGiacomo-Cohen, M.L., 2016, Glacial Lake Hitchcock and the sea: Fieldtrip Guidebook for the 78th Annual Reunion of the Northeast Friends of the Pleistocene, no. 10, viii, 57 p.","productDescription":"viii, 57 p.","ipdsId":"IP-068825","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":339966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328871,"type":{"id":15,"text":"Index Page"},"url":"https://www2.newpaltz.edu/fop/pdf/FOP2015Guide.pdf"}],"country":"United States","state":"Connecticut, Massachusetts","otherGeospatial":"Glacial Lake Hitchcock","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.7734375,\n              41.21998578493921\n            ],\n            [\n              -72.18017578125,\n              41.21998578493921\n            ],\n            [\n              -72.191162109375,\n              42.740960955168475\n            ],\n            [\n              -72.7789306640625,\n              42.740960955168475\n            ],\n            [\n              -72.7734375,\n              41.21998578493921\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877aee4b0b7ea54521c04","contributors":{"editors":[{"text":"Thomas, Margaret A.","contributorId":191171,"corporation":false,"usgs":false,"family":"Thomas","given":"Margaret A.","affiliations":[],"preferred":false,"id":692117,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Stone, Janet Radway jrstone@usgs.gov","contributorId":1695,"corporation":false,"usgs":true,"family":"Stone","given":"Janet","email":"jrstone@usgs.gov","middleInitial":"Radway","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":692113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ridge, J.C.","contributorId":45060,"corporation":false,"usgs":true,"family":"Ridge","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":692114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewis, Ralph S.","contributorId":9288,"corporation":false,"usgs":true,"family":"Lewis","given":"Ralph S.","affiliations":[],"preferred":false,"id":692115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DiGiacomo-Cohen, Mary L. 0000-0003-2384-8912 mdicohen@usgs.gov","orcid":"https://orcid.org/0000-0003-2384-8912","contributorId":2527,"corporation":false,"usgs":true,"family":"DiGiacomo-Cohen","given":"Mary","email":"mdicohen@usgs.gov","middleInitial":"L.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":692116,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70174150,"text":"70174150 - 2016 - The Impacts of flow alterations to crayfishes in Southeastern Oklahoma, with an emphasis on the mena crayfish (orconectes menae)","interactions":[],"lastModifiedDate":"2017-04-19T14:18:14","indexId":"70174150","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"105-2014","title":"The Impacts of flow alterations to crayfishes in Southeastern Oklahoma, with an emphasis on the mena crayfish (orconectes menae)","docAbstract":"<p>Human activities can alter the environment to the point that it is unsuitable to the native species resulting in a loss of biodiversity. Ecologists understand the importance of biodiversity and the conservation of vulnerable species. Species that are narrowly endemic are considered to be particularly vulnerable because they often use specific habitats that are highly susceptible to human disturbance. The basic components of species conservation are 1) delineation of the spatial distribution of the species, 2) understanding how the species interacts with its environment, and 3) employing management strategies based on the ecology of the species. In this study, we investigated several crayfish species endemic to the Ouachita Mountains in Oklahoma and Arkansas. We established the spatial distributions (i.e., range) of the crayfish using Maximum Entropy species distribution modeling. We then investigated crayfish habitat use with quantitative sampling and a paired movement study. Finally, we evaluated the ability of crayfish to burrow under different environmental conditions in a controlled laboratory setting. Crayfish distribution at the landscape scale was largely driven by climate, geology and elevation. In general, the endemic crayfish in this study occurred above 300-m elevation where the geology was dominated by sandstone and shale, and rainfall totals were the highest compared to the rest of the study region. Our quantitative data indicated crayfish did not select for specific habitat types at the reach scale; however, crayfish appeared to continue to use shallow and dry habitat even as the streams dried. Movement by passive integrated transponder (PIT) tagged crayfish was highly variable but crayfish tended to burrow in response to drought rather than migrate to wet habitat. Controlled laboratory experiments revealed smaller substrate size (pebble) restricted crayfish burrowing more than larger substrates (cobble). We also found excess fine sediment restricted crayfish burrowing regardless of dominant substrate size. Our results suggest climate change and sedimentation resulting from land-use practices, combined with increased water withdrawals have the potential to alter crayfish distributions and affect persistence of some crayfish populations.</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"OK","usgsCitation":"Brewer, S.K., and Dyer, J.J., 2016, The Impacts of flow alterations to crayfishes in Southeastern Oklahoma, with an emphasis on the mena crayfish (orconectes menae), ii, 103 p.","productDescription":"ii, 103 p.","ipdsId":"IP-054991","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":339982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339981,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/ref/collection/document/id/2056"}],"country":"United States","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877b2e4b0b7ea54521c0b","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":640997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dyer, Joseph J.","contributorId":140681,"corporation":false,"usgs":false,"family":"Dyer","given":"Joseph","email":"","middleInitial":"J.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":692197,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176530,"text":"70176530 - 2016 - South Park, Colorado: The interplay of tectonics and sedimentation creates one of Colorado’s crown jewels","interactions":[],"lastModifiedDate":"2017-04-28T09:42:58","indexId":"70176530","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"South Park, Colorado: The interplay of tectonics and sedimentation creates one of Colorado’s crown jewels","docAbstract":"Recent mapping efforts and hydrocarbon exploration in the South Park Basin\nhave brought to light the magnitude in complexity of a structural basin already\nrecognized for its unique sedimentary and tectonic setting. This fi eld trip to one of\nColorado’s scenic gems will examine how Paleozoic, Mesozoic, and Cenozoic strata\nrecord the tectonic signatures of at least three orogenic episodes. We will cross the\nElkhorn–Williams Range thrust system into the structural block caught between\nLaramide uplifts, and preserving synorogenic sediments from the Pennsylvanian–\nPermian ancestral Rocky Mountain tectonic episode in juxtaposition with synorogenic\nsediments from the subsequent Laramide tectonic episode. Late Cretaceous\nmarine sediments from the Western Interior Seaway caught up in complex fold-fault\nstructures between Laramide uplifts create targets for petroleum exploration. Evidence\nof evaporitic tectonism originating from Pennsylvanian evaporite deposits and\nhinting at structural complexity dots the landscape. The trip will also explore a postLaramide\nsurface preserved in a graben developed in the hanging wall of the Elkhorn\nfault system and view post-Laramide volcanic features. Glacier-carved ranges\nheld up by Precambrian crystalline basement and Paleozoic sediments hardened by\ncontact metamorphism from Paleogene stocks and sills rim the basin. Pleistocene glaciofl\nuvial deposits fan out from the high ranges to blanket the highly deformed basin,\nmasking many of the primary structural features.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Unfolding the Geology of the West: Geological Society of America Field Guide","language":"English","publisher":"Geological Society of America","doi":"10.1130/2016.0044(07)","usgsCitation":"Barkmann, P.E., Sterne, E.J., Dechesne, M., and Houck, K.J., 2016, South Park, Colorado: The interplay of tectonics and sedimentation creates one of Colorado’s crown jewels, chap. <i>of</i> Unfolding the Geology of the West: Geological Society of America Field Guide, v. 44, p. 151-190, https://doi.org/10.1130/2016.0044(07).","productDescription":"40 p.","startPage":"151","endPage":"190","ipdsId":"IP-075705","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":339926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"South Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.41494750976562,\n              38.96901887678791\n            ],\n            [\n              -105.5511474609375,\n              38.96901887678791\n            ],\n            [\n              -105.5511474609375,\n              39.49132430037711\n            ],\n            [\n              -106.41494750976562,\n              39.49132430037711\n            ],\n            [\n              -106.41494750976562,\n              38.96901887678791\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877aee4b0b7ea54521c06","contributors":{"editors":[{"text":"Keller, S.M.","contributorId":81512,"corporation":false,"usgs":true,"family":"Keller","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":691948,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Morgan, Matthew L.","contributorId":177280,"corporation":false,"usgs":false,"family":"Morgan","given":"Matthew","email":"","middleInitial":"L.","affiliations":[{"id":12745,"text":"Colorado Geological Survey","active":true,"usgs":false}],"preferred":false,"id":691949,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Barkmann, Peter E","contributorId":174723,"corporation":false,"usgs":false,"family":"Barkmann","given":"Peter","email":"","middleInitial":"E","affiliations":[{"id":12745,"text":"Colorado Geological Survey","active":true,"usgs":false}],"preferred":false,"id":691943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sterne, Edward J","contributorId":174724,"corporation":false,"usgs":false,"family":"Sterne","given":"Edward","email":"","middleInitial":"J","affiliations":[{"id":12586,"text":"Consultant","active":true,"usgs":false}],"preferred":false,"id":691944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dechesne, Marieke 0000-0002-4468-7495 mdechesne@usgs.gov","orcid":"https://orcid.org/0000-0002-4468-7495","contributorId":5036,"corporation":false,"usgs":true,"family":"Dechesne","given":"Marieke","email":"mdechesne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":691945,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houck, Karen J.","contributorId":25623,"corporation":false,"usgs":true,"family":"Houck","given":"Karen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":691946,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70177839,"text":"70177839 - 2016 - A comparison of NLCD 2011 and LANDFIRE EVT 2010: Regional and national summaries.","interactions":[],"lastModifiedDate":"2018-12-20T11:47:06","indexId":"70177839","displayToPublicDate":"2017-04-18T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"A comparison of NLCD 2011 and LANDFIRE EVT 2010: Regional and national summaries.","docAbstract":"In order to provide the land cover user community a summary of the similarity and differences between the 2011 National Land Cover Dataset (NLCD) and the Landscape Fire and Resource Management Planning Tools Program Existing Vegetation 2010 Data (LANDFIRE EVT), the two datasets were compared at a national (conterminous U.S.) and regional (Eastern, Midwestern, and Western) extents (Figure 1). The comparisons were done by generalizing the LANDFIRE data to be consistent with mapped land cover classes in the NLCD (i.e., crosswalked). Summaries of the comparisons were based on areal extent including 1) the total extent of each land cover class, and 2) land cover classes in corresponding 900-m2 areas. The results from the comparisons provide the user community information regarding the utility of both datasets relative to their intended uses.","language":"English","publisher":"LANDFIRE","usgsCitation":"McKerrow, A., Dewitz, J., Long, D.G., Nelson, K., Connot, J.A., and Smith, J., 2016, A comparison of NLCD 2011 and LANDFIRE EVT 2010: Regional and national summaries., 29 p.","productDescription":"29 p.","ipdsId":"IP-073998","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true},{"id":38315,"text":"GAP Analysis Project","active":true,"usgs":true}],"links":[{"id":339858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":330338,"type":{"id":15,"text":"Index Page"},"url":"https://landfiredev.cr.usgs.gov/lfpartner_collaborations.php"}],"country":"United States","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f725e6e4b0b7ea5451eec8","contributors":{"authors":[{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":127753,"corporation":false,"usgs":true,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":651906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dewitz, Jon 0000-0002-0458-212X dewitz@usgs.gov","orcid":"https://orcid.org/0000-0002-0458-212X","contributorId":2401,"corporation":false,"usgs":true,"family":"Dewitz","given":"Jon","email":"dewitz@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":651907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Donald G.","contributorId":167066,"corporation":false,"usgs":false,"family":"Long","given":"Donald","email":"","middleInitial":"G.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":651908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Kurtis 0000-0003-4911-4511 knelson@usgs.gov","orcid":"https://orcid.org/0000-0003-4911-4511","contributorId":3602,"corporation":false,"usgs":true,"family":"Nelson","given":"Kurtis","email":"knelson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":691664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Connot, Joel A. 0000-0002-2556-3374 jconnot@usgs.gov","orcid":"https://orcid.org/0000-0002-2556-3374","contributorId":4436,"corporation":false,"usgs":true,"family":"Connot","given":"Joel","email":"jconnot@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":691665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Jim","contributorId":191054,"corporation":false,"usgs":false,"family":"Smith","given":"Jim","email":"","affiliations":[],"preferred":false,"id":691666,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178429,"text":"70178429 - 2016 - Regional geophysics of western Utah and eastern Nevada, with emphasis on the Confusion Range","interactions":[],"lastModifiedDate":"2017-04-18T10:44:21","indexId":"70178429","displayToPublicDate":"2017-04-18T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Regional geophysics of western Utah and eastern Nevada, with emphasis on the Confusion Range","docAbstract":"As part of a long term geologic and hydrologic study of several regional\ngroundwater flow systems in western Utah and eastern Nevada, the U.S. \nGeological Survey was contracted by the Southern Nevada Water Authority \nto provide geophysical data.  The primary object of these data was to enable \nconstruction of the geological framework of the flow systems.  The main \nnew geophysical data gathered during the study were gravity observations, \nand existing aeromagnetic data were also compiled.  These data resulted in \nregional maps of the isostatic gravity and aeromagnetic fields of the area.\nThe isostatic gravity map shows a north-south grain to most of the area, \nwhich was imparted by post-20 Ma basin-range tectonism; whereas the \naeromagnetic map shows an east-west grain to the area, imparted by \nEocene  to lower Miocene calc-alkaline calderas and source intrusions.  \nTo de-emphasize surface and near-surface features and to gain greater \ninsight into contributions from deeper sources, the isostatic gravity \nanomalies were upward continued by 3 km and the aeromagnetic data \nwere transformed to their magnetic potential (\"pseudogravity\").  \nIdentification of maxima of the horizontal gradients in the gravity and \nmagnetic-potential data helped define deep-seated crustal blocks that are \ncharacterized by major changes in density and magnetization.  Maps \nshowing these maxima were useful in defining large faults, especially \nrange-bounding faults, and margins of igneous bodies and calderas.  A \ngravity inversion method was used to separate the isostatic residual anomaly \ninto pre-Cenozoic basement and young basin fill.  Inasmuch as the primary \naquifer in the area is sedimentary basin fill, this method is especially valuable\nfor hydrogeologic analyses because it estimates the thickness of the fill.\nAs befits its name, the geology of the Confusion Range of Utah has been a \npoint of contention for many years, so we looked at it in greater detail in the \ncourse of  our regional study. The northern part of the range is underlain by a \nlarge gravity high, which continues south through the Conger Range, Burbank \nHills, and northern Mountain Home Range. This is the \"structural trough\" \nreported in the literature that was mapped as the axial part of a Sevier \nsynclinorium and contains the maximum thickness (7 km) of high-density \ncarbonates in the area, thus the largest high gravity anomaly.","language":"English","publisher":"Utah Geological Association","usgsCitation":"Mankinen, E.A., Rowley, P.D., Dixon, G.L., and McKee, E.H., 2016, Regional geophysics of western Utah and eastern Nevada, with emphasis on the Confusion Range, v. 45, 13 p.","productDescription":"13 p.","startPage":"147","endPage":"166","ipdsId":"IP-073281","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":339850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339848,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.mapstore.utah.gov/uga45.html"}],"country":"United States","state":"Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.0380859375,\n              42.00032514831621\n            ],\n            [\n              -114.06005859375,\n              36.98500309285596\n            ],\n            [\n              -109.05029296875,\n              36.98500309285596\n            ],\n            [\n              -109.039306640625,\n              41.00477542222947\n            ],\n            [\n              -111.03881835937499,\n              40.9964840143779\n            ],\n            [\n              -111.0498046875,\n              42.00032514831621\n            ],\n            [\n              -114.0380859375,\n              42.00032514831621\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f725e5e4b0b7ea5451eec4","contributors":{"authors":[{"text":"Mankinen, Edward A. 0000-0001-7496-2681 emank@usgs.gov","orcid":"https://orcid.org/0000-0001-7496-2681","contributorId":1054,"corporation":false,"usgs":true,"family":"Mankinen","given":"Edward","email":"emank@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":691624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowley, Peter D.","contributorId":27435,"corporation":false,"usgs":true,"family":"Rowley","given":"Peter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":691625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dixon, Gary L.","contributorId":23571,"corporation":false,"usgs":true,"family":"Dixon","given":"Gary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":691626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKee, Edwin H. mckee@usgs.gov","contributorId":3728,"corporation":false,"usgs":true,"family":"McKee","given":"Edwin","email":"mckee@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":691627,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178279,"text":"70178279 - 2016 - Northeast and Midwest regional species and habitats at greatest risk and most vulnerable to climate impacts","interactions":[],"lastModifiedDate":"2020-07-29T14:07:59.575184","indexId":"70178279","displayToPublicDate":"2017-04-18T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"chapter":"2","title":"Northeast and Midwest regional species and habitats at greatest risk and most vulnerable to climate impacts","docAbstract":"<p>The objectives of this Chapter are to describe climate change vulnerability, it’s components, the range of assessment methods being implemented regionally, and examples of training resources and tools. Climate Change Vulnerability Assessments (CCVAs) have already been conducted for numerous Regional Species of Greatest Conservation Need and their dependent 5 habitats across the Northeast and Midwest. This chapter provides a synthesis of different assessment frameworks, information on the locations (e.g., States) where vulnerability assessments were conducted, lists of individual species and habitats with their respective vulnerability rankings, and a comparison of how vulnerability rankings were determined among studies.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Integrating climate change into the state wildlife action plans","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Northeast Climate Science Center","publisherLocation":"Amherst, MA","usgsCitation":"Staudinger, M., Hilberg, L., Janowiak, M., and Swanton, C., 2016, Northeast and Midwest regional species and habitats at greatest risk and most vulnerable to climate impacts, 39 p.","productDescription":"39 p.","ipdsId":"IP-065185","costCenters":[{"id":41705,"text":"Northeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":339856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339853,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://necsc.umass.edu/projects/integrating-climate-change-state-wildlife-action-plans"}],"country":"United States","state":"Connecticut, Delaware, Iowa, Illinois, Indiana, Kentucky, Massachusetts, Maryland, Maine, Michigan, Missouri, Minnesota, New Hampshire, New Jersey, New York, Ohio, Pennsylvania, Rhode Island, Virginia, Vermont, Wisconsin, West 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 \"}}]}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f725e6e4b0b7ea5451eec6","contributors":{"authors":[{"text":"Staudinger, Michelle D. 0000-0002-4535-2005","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":207908,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle D.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":484,"text":"Northwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":653503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hilberg, Laura","contributorId":178096,"corporation":false,"usgs":false,"family":"Hilberg","given":"Laura","email":"","affiliations":[],"preferred":false,"id":691657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Janowiak, Maria","contributorId":178097,"corporation":false,"usgs":false,"family":"Janowiak","given":"Maria","affiliations":[],"preferred":false,"id":691658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swanton, C.O.","contributorId":29365,"corporation":false,"usgs":true,"family":"Swanton","given":"C.O.","email":"","affiliations":[],"preferred":false,"id":691659,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193676,"text":"70193676 - 2016 - Prediction of lake depth across a 17-state region in the United States","interactions":[],"lastModifiedDate":"2018-01-24T16:07:57","indexId":"70193676","displayToPublicDate":"2017-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Prediction of lake depth across a 17-state region in the United States","docAbstract":"<p><span>Lake depth is an important characteristic for understanding many lake processes, yet it is unknown for the vast majority of lakes globally. Our objective was to develop a model that predicts lake depth using map-derived metrics of lake and terrestrial geomorphic features. Building on previous models that use local topography to predict lake depth, we hypothesized that regional differences in topography, lake shape, or sedimentation processes could lead to region-specific relationships between lake depth and the mapped features. We therefore used a mixed modeling approach that included region-specific model parameters. We built models using lake and map data from LAGOS, which includes 8164 lakes with maximum depth (Z</span><sub>max</sub><span>) observations. The model was used to predict depth for all lakes ≥4 ha (</span><i>n<span>&nbsp;</span></i><span>= 42 443) in the study extent. Lake surface area and maximum slope in a 100 m buffer were the best predictors of Z</span><sub>max</sub><span>. Interactions between surface area and topography occurred at both the local and regional scale; surface area had a larger effect in steep terrain, so large lakes embedded in steep terrain were much deeper than those in flat terrain. Despite a large sample size and inclusion of regional variability, model performance (</span><i>R</i><sup>2</sup><span><span>&nbsp;</span>= 0.29, RMSE = 7.1 m) was similar to other published models. The relative error varied by region, however, highlighting the importance of taking a regional approach to lake depth modeling. Additionally, we provide the largest known collection of observed and predicted lake depth values in the United States.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/IW-6.3.957","usgsCitation":"Oliver, S., Soranno, P.A., Fergus, C.E., Wagner, T., Winslow, L., Scott, C.E., Webster, K.E., Downing, J., and Stanley, E.H., 2016, Prediction of lake depth across a 17-state region in the United States: Inland Waters, v. 6, no. 3, p. 314-324, https://doi.org/10.1080/IW-6.3.957.","productDescription":"11 p.","startPage":"314","endPage":"324","ipdsId":"IP-071256","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"6","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-02","publicationStatus":"PW","scienceBaseUri":"5a60fc5ae4b06e28e9c23da8","contributors":{"authors":[{"text":"Oliver, Samantha K.","contributorId":169273,"corporation":false,"usgs":false,"family":"Oliver","given":"Samantha K.","affiliations":[],"preferred":false,"id":721804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soranno, Patricia A.","contributorId":172104,"corporation":false,"usgs":false,"family":"Soranno","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fergus, C. Emi","contributorId":150608,"corporation":false,"usgs":false,"family":"Fergus","given":"C.","email":"","middleInitial":"Emi","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":721806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winslow, Luke A. lwinslow@usgs.gov","contributorId":139775,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke A.","email":"lwinslow@usgs.gov","affiliations":[],"preferred":false,"id":721807,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scott, Caren E.","contributorId":172184,"corporation":false,"usgs":false,"family":"Scott","given":"Caren","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721808,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Webster, Katherine E.","contributorId":147903,"corporation":false,"usgs":false,"family":"Webster","given":"Katherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721809,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Downing, John A.","contributorId":70348,"corporation":false,"usgs":true,"family":"Downing","given":"John A.","affiliations":[],"preferred":false,"id":721810,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":721811,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70173974,"text":"ofr20161105 - 2016 - Regional water table (2014) in the Mojave River and Morongo Groundwater Basins, southwestern Mojave Desert, California","interactions":[],"lastModifiedDate":"2020-07-28T14:39:44.825439","indexId":"ofr20161105","displayToPublicDate":"2017-03-30T00:00:00","publicationYear":"2016","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":"2016-1105","displayTitle":"Regional Water Table (2014) in the Mojave River and Morongo Groundwater Basins, Southwestern Mojave Desert, California","title":"Regional water table (2014) in the Mojave River and Morongo Groundwater Basins, southwestern Mojave Desert, California","docAbstract":"<p>Data for static water-levels measured in about 610 wells during March-April 2014 by the U.S. Geological Survey (USGS), the&nbsp;<a rel=\"noopener noreferrer\" href=\"http://www.mojavewater.org/\" target=\"_blank\" data-auth=\"NotApplicable\" data-mce-href=\"http://www.mojavewater.org/\">Mojave Water Agency (MWA)</a>, and other local water districts were compiled to construct a regional water-table&nbsp;<a rel=\"noopener noreferrer\" href=\"https://pubs.usgs.gov/of/2016/1105/ofr20161105.pdf\" target=\"_blank\" data-auth=\"NotApplicable\" data-mce-href=\"https://pubs.usgs.gov/of/2016/1105/ofr20161105.pdf\">map</a>. This map shows the elevation of the water table and general direction of groundwater movement in and around the Mojave River and Morongo groundwater basins. Water-level measurements recorded by the USGS and MWA staff were measured and compiled according to the procedures described in the Groundwater Technical Procedures of the U.S. Geological Survey (<a rel=\"noopener noreferrer\" href=\"https://ca.water.usgs.gov/mojave/references.html#cunn11\" target=\"_blank\" data-auth=\"NotApplicable\" data-mce-href=\"https://ca.water.usgs.gov/mojave/references.html#cunn11\"><i>Cunningham and Schalk, 2011</i></a>). Water-level data submitted by cooperating local water districts were collected by using procedures established by the corresponding agency, and compiled according to the procedures described in the Groundwater Technical Procedures of the U.S. Geological Survey (<a rel=\"noopener noreferrer\" href=\"https://ca.water.usgs.gov/mojave/references.html#cunn11\" target=\"_blank\" data-auth=\"NotApplicable\" data-mce-href=\"https://ca.water.usgs.gov/mojave/references.html#cunn11\"><i>Cunningham and Schalk, 2011</i></a>). All data were compared to historical data for quality-assurance purposes. Water-level contours from the 2012 water-level map (<i><a rel=\"noopener noreferrer\" href=\"https://ca.water.usgs.gov/mojave/references.html#teague13\" target=\"_blank\" data-auth=\"NotApplicable\" data-mce-href=\"https://ca.water.usgs.gov/mojave/references.html#teague13\">Teague and others, 2014</a></i>) were used as a guide to interpret and shape the 2014 water-level contours in areas where 2014 water-level data were not available; these contours are shown as dashed (approximate) on the water-table map. In addition to being available on the&nbsp;<a rel=\"noopener noreferrer\" href=\"https://ca.water.usgs.gov/mojave/mojave-water-data.html\" target=\"_blank\" data-auth=\"NotApplicable\" data-mce-href=\"https://ca.water.usgs.gov/mojave/mojave-water-data.html\">interactive map</a><span>, 2014 water-level data and contours are shown for the entire area of the Mojave River and Morongo groundwater basins on&nbsp;<a rel=\"noopener noreferrer\" href=\"https://pubs.usgs.gov/of/2016/1105/ofr20161105.pdf\" target=\"_blank\" data-auth=\"NotApplicable\" data-mce-href=\"https://pubs.usgs.gov/of/2016/1105/ofr20161105.pdf\">Plate 1</a>. Water-level data for 2014 are accessible through the website by clicking the&nbsp;<i>2014 Sites</i>&nbsp;button on the&nbsp;<a rel=\"noopener noreferrer\" href=\"https://ca.water.usgs.gov/mojave/mojave-data-downloads.html\" target=\"_blank\" data-auth=\"NotApplicable\" data-mce-href=\"https://ca.water.usgs.gov/mojave/mojave-data-downloads.html\">Data Downloads page</a>.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161105","collaboration":"Prepared in cooperation with the Mojave Water Agency","usgsCitation":"Teague, N.F., Dick, M.C., House, S.F., and Clark, D.A., 2016, Regional water table (2014) in the Mojave River and Morongo groundwater basins, southwestern Mojave Desert, California, 2016: U.S. Geological Survey Open-File Report 2016–1105 (ver. 3, July 2020), 1 sheet, scale 1:170,000, https://doi.org/10.3133/ofr20161105.","productDescription":"1 Sheet: 42.00 x 37.00 inches; Project Site; Version History","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-074861","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":438469,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P848ZZ","text":"USGS data release","linkHelpText":"Regional Water Table (2014) in the Mojave River and Morongo Groundwater Basins, Southwestern Mojave Desert, California (ver. 1.2, September 2020)"},{"id":337647,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1105/cover/coverthb.jpg"},{"id":340194,"rank":2,"type":{"id":18,"text":"Project Site"},"url":"https://ca.water.usgs.gov/mojave/mojave-2014-water-levels.html","text":"Project Site"},{"id":376391,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2016/1105/versionHist.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"}},{"id":376390,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/of/2016/1105/ofr20161105.pdf","text":"Sheet","size":"17 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.5,\n              34.05\n            ],\n            [\n              -117.5,\n              35.25\n            ],\n            [\n              -116.0,\n              35.25\n            ],\n            [\n              -116.0,\n              34.05\n            ],\n            [\n              -117.5,\n              34.05\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted June 28, 2016; Version 2.0: March 30, 2017; Version 3.0: July 15, 2020","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>, <a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov/\">California Water Science Center</a><br>U.S. Geological Survey<br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<p><br data-mce-bogus=\"1\"></p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2016-06-28","revisedDate":"2020-07-20","noUsgsAuthors":false,"publicationDate":"2016-06-28","publicationStatus":"PW","scienceBaseUri":"577391a7e4b07657d1a88bd6","contributors":{"authors":[{"text":"Teague, Nick F. 0000-0001-5289-1210","orcid":"https://orcid.org/0000-0001-5289-1210","contributorId":172440,"corporation":false,"usgs":true,"family":"Teague","given":"Nick","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":639896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dick, Meghan C. 0000-0002-8323-3787 mdick@usgs.gov","orcid":"https://orcid.org/0000-0002-8323-3787","contributorId":200745,"corporation":false,"usgs":true,"family":"Dick","given":"Meghan","email":"mdick@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":640729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"House, Sally F. 0000-0002-3398-4742 shouse@usgs.gov","orcid":"https://orcid.org/0000-0002-3398-4742","contributorId":3881,"corporation":false,"usgs":true,"family":"House","given":"Sally","email":"shouse@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":false,"id":640730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Dennis A. daclark@usgs.gov","contributorId":1477,"corporation":false,"usgs":true,"family":"Clark","given":"Dennis","email":"daclark@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":640731,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185576,"text":"70185576 - 2016 - Downstream passage and impact of turbine shutdowns on survival of silver American Eels at five hydroelectric dams on the Shenandoah River","interactions":[],"lastModifiedDate":"2017-03-24T10:26:18","indexId":"70185576","displayToPublicDate":"2017-03-24T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Downstream passage and impact of turbine shutdowns on survival of silver American Eels at five hydroelectric dams on the Shenandoah River","docAbstract":"<p><span>Hydroelectric dams impact the downstream migrations of silver American Eels </span><i>Anguilla rostrata</i><span> via migratory delays and turbine mortality. A radiotelemetry study of American Eels was conducted to determine the impacts of five run-of-the-river hydroelectric dams located over a 195-km stretch of the Shenandoah River, Virginia–West Virginia, during fall 2007–summer 2010. Overall, 96 radio-tagged individuals (mean TL = 85.4 cm) migrated downstream past at least one dam during the study. Most American Eels passed dams relatively quickly; over half (57.9%) of the dam passage events occurred within 1 h of reaching a dam, and most (81.3%) occurred within 24 h of reaching the dam. Two-thirds of the dam passage events occurred via spill, and the remaining passage events were through turbines. Migratory delays at dams were shorter and American Eels were more likely to pass via spill over the dam during periods of high river discharge than during low river discharge. The extent of delay in migration did not differ between the passage routes (spill versus turbine). Twenty-eight American Eels suffered turbine-related mortality, which occurred at all five dams. Mortality rates for eels passing through turbines ranged from 15.8% to 40.7% at individual dams. Overall project-specific mortality rates (with all passage routes combined) ranged from 3.0% to 14.3%. To protect downstream-migrating American Eels, nighttime turbine shutdowns (1800–0600 hours) were implemented during September 15–December 15. Fifty percent of all downstream passage events in the study occurred during the turbine shutdown period. Implementation of the seasonal turbine shutdown period reduced cumulative mortality from 63.3% to 37.3% for American Eels passing all five dams. Modifying the turbine shutdown period to encompass more dates in the spring and linking the shutdowns to environmental conditions could provide greater protection to downstream-migrating American Eels.</span></p>","language":"English","publisher":"American Fisheries Society","publisherLocation":"New York, NY","doi":"10.1080/00028487.2016.1176954","usgsCitation":"Eyler, S., Welsh, S., Smith, D.R., and Rockey, M., 2016, Downstream passage and impact of turbine shutdowns on survival of silver American Eels at five hydroelectric dams on the Shenandoah River: Transactions of the American Fisheries Society, v. 145, no. 5, p. 964-976, https://doi.org/10.1080/00028487.2016.1176954.","productDescription":"13 p.","startPage":"964","endPage":"976","ipdsId":"IP-078753","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":338259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-03","publicationStatus":"PW","scienceBaseUri":"58d63036e4b05ec7991310db","contributors":{"authors":[{"text":"Eyler, Sheila","contributorId":189779,"corporation":false,"usgs":false,"family":"Eyler","given":"Sheila","affiliations":[],"preferred":false,"id":686010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":686009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":686011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rockey, Mary","contributorId":189780,"corporation":false,"usgs":false,"family":"Rockey","given":"Mary","email":"","affiliations":[],"preferred":false,"id":686012,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185563,"text":"70185563 - 2016 - A comparison of observed and predicted ground motions from the 2015 M<sub>W</sub>7.8 Gorkha, Nepal, earthquake","interactions":[],"lastModifiedDate":"2017-03-24T10:43:50","indexId":"70185563","displayToPublicDate":"2017-03-24T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of observed and predicted ground motions from the 2015 M<sub>W</sub>7.8 Gorkha, Nepal, earthquake","docAbstract":"<p><span>We use 21 strong motion recordings from Nepal and India for the 25 April 2015 moment magnitude (M</span><sub>W</sub><span>) 7.8 Gorkha, Nepal, earthquake together with the extensive macroseismic intensity data set presented by Martin et al. (Seism Res Lett 87:957–962, </span><span class=\"CitationRef\"><a title=\"View reference\" href=\"https://link.springer.com/article/10.1007%2Fs11069-016-2505-8#CR41\" data-mce-href=\"https://link.springer.com/article/10.1007%2Fs11069-016-2505-8#CR41\">2015</a></span><span>) to analyse the distribution of ground motions at near-field and regional distances. We show that the data are consistent with the instrumental peak ground acceleration (PGA) versus macroseismic intensity relationship developed by Worden et al. (Bull Seism Soc Am 102:204–221, </span><span class=\"CitationRef\"><a title=\"View reference\" href=\"https://link.springer.com/article/10.1007%2Fs11069-016-2505-8#CR69\" data-mce-href=\"https://link.springer.com/article/10.1007%2Fs11069-016-2505-8#CR69\">2012</a></span><span>), and use this relationship to estimate peak ground acceleration from intensities (PGA</span><sub>EMS</sub><span>). For nearest-fault distances (R</span><sub>RUP</sub><span>&nbsp;&lt;&nbsp;200&nbsp;km), PGA</span><sub>EMS</sub><span> is consistent with the Atkinson and Boore (Bull Seism Soc Am 93:1703–1729, </span><span class=\"CitationRef\"><a title=\"View reference\" href=\"https://link.springer.com/article/10.1007%2Fs11069-016-2505-8#CR5\" data-mce-href=\"https://link.springer.com/article/10.1007%2Fs11069-016-2505-8#CR5\">2003</a></span><span>) subduction zone ground motion prediction equation (GMPE). At greater distances (R</span><sub>RUP</sub><span>&nbsp;&gt;&nbsp;200&nbsp;km), instrumental PGA values are consistent with this GMPE, while PGA</span><sub>EMS</sub><span> is systematically higher. We suggest the latter reflects a duration effect whereby effects of weak shaking are enhanced by long-duration and/or long-period ground motions from a large event at regional distances. We use PGA</span><sub>EMS</sub><span> values within 200&nbsp;km to investigate the variability of high-frequency ground motions using the Atkinson and Boore (Bull Seism Soc Am 93:1703–1729, </span><span class=\"CitationRef\"><a title=\"View reference\" href=\"https://link.springer.com/article/10.1007%2Fs11069-016-2505-8#CR5\" data-mce-href=\"https://link.springer.com/article/10.1007%2Fs11069-016-2505-8#CR5\">2003</a></span><span>) GMPE as a baseline. Across the near-field region, PGA</span><sub>EMS</sub><span> is higher by a factor of 2.0–2.5 towards the northern, down-dip edge of the rupture compared to the near-field region nearer to the southern, up-dip edge of the rupture. Inferred deamplification in the deepest part of the Kathmandu valley supports the conclusion that former lake-bed sediments experienced a pervasive nonlinear response during the mainshock (Dixit et al. in Seismol Res Lett 86(6):1533–1539, </span><span class=\"CitationRef\"><a title=\"View reference\" href=\"https://link.springer.com/article/10.1007%2Fs11069-016-2505-8#CR19\" data-mce-href=\"https://link.springer.com/article/10.1007%2Fs11069-016-2505-8#CR19\">2015</a></span><span>; Rajaure et al. in Tectonophysics, </span><span class=\"CitationRef\"><a title=\"View reference\" href=\"https://link.springer.com/article/10.1007%2Fs11069-016-2505-8#CR57\" data-mce-href=\"https://link.springer.com/article/10.1007%2Fs11069-016-2505-8#CR57\">2016</a></span><span>. Ground motions were significantly amplified in the southern Gangetic basin, but were relatively low in the northern basin. The overall distribution of ground motions and damage during the Gorkha earthquake thus reflects a combination of complex source, path, and site effects. We also present a macroseismic intensity data set and analysis of ground motions for the M</span><sub>W</sub><span>7.3 Dolakha aftershock on 12 May 2015, which we compare to the Gorkha mainshock and conclude was likely a high stress-drop event.</span></p>","language":"English","publisher":"International Society for the Prevention and Mitigation of Natural Hazards","publisherLocation":"Dordrecht","doi":"10.1007/s11069-016-2505-8","usgsCitation":"Hough, S.E., Martin, S.S., Gahalaut, V., Joshi, A., Landes, M., and Bossu, R., 2016, A comparison of observed and predicted ground motions from the 2015 M<sub>W</sub>7.8 Gorkha, Nepal, earthquake: Natural Hazards, v. 84, no. 3, p. 1661-1684, https://doi.org/10.1007/s11069-016-2505-8.","productDescription":"24 p.","startPage":"1661","endPage":"1684","ipdsId":"IP-077448","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470259,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s11069-016-2505-8","text":"External Repository"},{"id":338271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","otherGeospatial":"Gorkha District","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              79,\n              25.75\n            ],\n            [\n              88.25,\n              25.75\n            ],\n            [\n              88.25,\n              31\n            ],\n            [\n              79,\n              31\n            ],\n            [\n              79,\n              25.75\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-16","publicationStatus":"PW","scienceBaseUri":"58d63037e4b05ec7991310dd","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":685970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Stacey S.","contributorId":187758,"corporation":false,"usgs":false,"family":"Martin","given":"Stacey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":685971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gahalaut, V.","contributorId":189762,"corporation":false,"usgs":false,"family":"Gahalaut","given":"V.","email":"","affiliations":[],"preferred":false,"id":685972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Joshi, A.","contributorId":189763,"corporation":false,"usgs":false,"family":"Joshi","given":"A.","email":"","affiliations":[],"preferred":false,"id":685973,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landes, M.","contributorId":189764,"corporation":false,"usgs":false,"family":"Landes","given":"M.","email":"","affiliations":[],"preferred":false,"id":685974,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bossu, R.","contributorId":189765,"corporation":false,"usgs":false,"family":"Bossu","given":"R.","email":"","affiliations":[],"preferred":false,"id":685975,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70185577,"text":"70185577 - 2016 - Use of multiple age tracers to estimate groundwater residence times and long-term recharge rates in arid southern Oman","interactions":[],"lastModifiedDate":"2017-03-24T10:13:56","indexId":"70185577","displayToPublicDate":"2017-03-24T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Use of multiple age tracers to estimate groundwater residence times and long-term recharge rates in arid southern Oman","docAbstract":"<p><span>Multiple age tracers were measured to estimate groundwater residence times in the regional aquifer system underlying southwestern Oman. This area, known as the Najd, is one of the most arid areas in the world and is planned to be the main agricultural center of the Sultanate of Oman in the near future. The three isotopic age tracers </span><sup>4</sup><span>He, </span><sup>14</sup><span>C and </span><sup>36</sup><span>Cl were measured in waters collected from wells along a line that extended roughly from the Dhofar Mountains near the Arabian Sea northward 400&nbsp;km into the Empty Quarter of the Arabian Peninsula. The wells sampled were mostly open to the Umm Er Radhuma confined aquifer, although, some were completed in the mostly unconfined Rus aquifer. The combined results from the three tracers indicate the age of the confined groundwater is&nbsp;&lt;&nbsp;40 ka in the recharge area in the Dhofar Mountains, &gt; 100 ka in the central section north of the mountains, and up to and &gt; one Ma in the Empty Quarter. The </span><sup>14</sup><span>C data were used to help calibrate the </span><sup>4</sup><span>He and </span><sup>36</sup><span>Cl data. Mixing models suggest that long open boreholes north of the mountains compromise </span><sup>14</sup><span>C-only interpretations there, in contrast to </span><sup>4</sup><span>He and </span><sup>36</sup><span>Cl calculations that are less sensitive to borehole mixing. Thus, only the latter two tracers from these more distant wells were considered reliable. In addition to the age tracers, δ</span><sup>2</sup><span>H and δ</span><sup>18</sup><span>O data suggest that seasonal monsoon and infrequent tropical cyclones are both substantial contributors to the recharge. The study highlights the advantages of using multiple chemical and isotopic data when estimating groundwater travel times and recharge rates, and differentiating recharge mechanisms.</span></p>","language":"English","publisher":"International Association of Geochemistry and Cosmochemistry","publisherLocation":"Oxford","doi":"10.1016/j.apgeochem.2016.08.012","usgsCitation":"Muller, T., Osenbruck, K., Strauch, G., Pavetich, S., Al-Mashaikhi, K., Herb, C., Merchel, S., Rugel, G., Aeschbach, W., and Sanford, W.E., 2016, Use of multiple age tracers to estimate groundwater residence times and long-term recharge rates in arid southern Oman: Applied Geochemistry, v. 74, p. 67-83, https://doi.org/10.1016/j.apgeochem.2016.08.012.","productDescription":"17 p.","startPage":"67","endPage":"83","ipdsId":"IP-078864","costCenters":[{"id":436,"text":"National Research Program - Eastern 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