{"pageNumber":"463","pageRowStart":"11550","pageSize":"25","recordCount":68892,"records":[{"id":70191605,"text":"70191605 - 2016 - Polyoxyethylene tallow amine, a glyphosate formulation adjuvant: Soil adsorption characteristics, degradation profile, and occurrence on selected soils from agricultural fields in Iowa, Illinois, Indiana, Kansas, Mississippi, and Missouri","interactions":[],"lastModifiedDate":"2018-08-07T12:13:09","indexId":"70191605","displayToPublicDate":"2016-01-01T00:00:00","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":"Polyoxyethylene tallow amine, a glyphosate formulation adjuvant: Soil adsorption characteristics, degradation profile, and occurrence on selected soils from agricultural fields in Iowa, Illinois, Indiana, Kansas, Mississippi, and Missouri","docAbstract":"<p><span>Polyoxyethylene tallow amine (POEA) is an inert ingredient added to formulations of glyphosate, the most widely applied agricultural herbicide. POEA has been shown to have toxic effects to some aquatic organisms making the potential transport of POEA from the application site into the environment an important concern. This study characterized the adsorption of POEA to soils and assessed its occurrence and homologue distribution in agricultural soils from six states. Adsorption experiments of POEA to selected soils showed that POEA adsorbed much stronger than glyphosate; calcium chloride increased the binding of POEA; and the binding of POEA was stronger in low pH conditions. POEA was detected on a soil sample from an agricultural field near Lawrence, Kansas, but with a loss of homologues that contain alkenes. POEA was also detected on soil samples collected between February and early March from corn and soybean fields from ten different sites in five other states (Iowa, Illinois, Indiana, Missouri, Mississippi). This is the first study to characterize the adsorption of POEA to soil, the potential widespread occurrence of POEA on agricultural soils, and the persistence of the POEA homologues on agricultural soils into the following growing season.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.6b00965","usgsCitation":"Tush, D.L., and Meyer, M.T., 2016, Polyoxyethylene tallow amine, a glyphosate formulation adjuvant: Soil adsorption characteristics, degradation profile, and occurrence on selected soils from agricultural fields in Iowa, Illinois, Indiana, Kansas, Mississippi, and Missouri: Environmental Science & Technology, v. 50, no. 11, p. 5781-5789, https://doi.org/10.1021/acs.est.6b00965.","productDescription":"9 p.","startPage":"5781","endPage":"5789","ipdsId":"IP-065815","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":346722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Illinois, Indiana, Kansas, Mississippi, Missouri","volume":"50","issue":"11","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-18","publicationStatus":"PW","scienceBaseUri":"59e71693e4b05fe04cd331c0","contributors":{"authors":[{"text":"Tush, Daniel L. 0000-0003-0031-3501 dtush@usgs.gov","orcid":"https://orcid.org/0000-0003-0031-3501","contributorId":4538,"corporation":false,"usgs":true,"family":"Tush","given":"Daniel","email":"dtush@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":712857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":712858,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192206,"text":"70192206 - 2016 - 2015 status of the Lake Ontario lower trophic levels","interactions":[],"lastModifiedDate":"2023-05-09T14:21:14.12708","indexId":"70192206","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2015","chapter":"16","title":"2015 status of the Lake Ontario lower trophic levels","docAbstract":"<ol><li>Offshore spring total phosphorus (TP) in 2015 was 4.2 μ g/L, the same as in 2014; this is lower than 2001 - 2013, but there is no significant time trend 2001 - 2015. Offshore soluble reactive phosphorus (SRP) was very low in 2015; Apr/May - Oct mean values were &lt;1 μ g/L at most sites. SRP has been stable in nearshore and offshore habitats since 1998 (range, 0.4 – 3.3 μ g/L). TP concentrations were low at both nearshore and offshore locations (range 4.2 - 8.1 μ g/L), and TP and SRP concentrations were significantly higher in the nearshore as compared to the offshore (6.8 μ g/L vs 4.8 μ g/L, TP; 1.1 μ g/L vs 0.7 μ g/L, SRP).</li><li>Chlorophyll-<i>a</i> and Secchi depth values are indicative of oligotrophic conditions in nearshore and offshore habitats. Offshore summer chlorophyll- a declined significantly 2000 - 2015. Nearshore chlorophyll- a increased 1995 - 2004 but then declined 2005 - 2015. Epilimnetic chlorophyll-<i>a</i> averaged between 0.9 and 1.9 1 μg/L across sites, and offshore concentrations (1.4 1 μg/L) were significantly higher than nearshore (1.1 μg/L). Summer Secchi depth increased significantly in the offshore 2000 -2015 and showed no trend in the nearshore, 1995 - 2015. Apr/May - Oct Secchi depth ranged from 5.0 m to 13.0 m at individual sites and was higher in the offshore (9.5 m) than nearshore (6.2 m).</li><li>In 2015, Apr/May - Oct epilimnetic zooplankton density, size, and biomass were not different between the offshore and the nearshore, but cyclopoid biomass was higher in the offshore (8.3 mg/m 3 vs 2.0 mg/m<sup>3</sup>) and <i>Bythotrephes</i> biomass was higher in the nearshore (0.17 mg/m<sup>3</sup> vs 0.04 mg/m<sup>3</sup>).</li><li>Zooplankton density and biomass peaked in September, an atypical pattern. This coincided with peaks in calanoid copepod, daphnid, and <i>Holopedium</i> <i>Holopedium</i> biomass in the nearshore has increased significantly since 1995.</li><li>The predatory cladoceran <i>Cercopagis</i> continued to be abundant in summer in the nearshore (3.4 μ g/L) but not in the offshore (0.8 μ g/L). <i>Bythotrephes</i> biomass was very low (&lt;0.3 μ g/L) in both nearshore and offshore habitats. Combined biomass of these predatory cladocerans in the offshore was the lowest recorded since 2001.</li><li>Summer nearshore zooplankton density and biomass declined significantly 1995 - 2004 and then increased significantly 2005 – 2015. The decline was due to reductions in bosminids and cyclopoids and the increase was due mostly to a rebound in bosminids.</li><li>Summer offshore zooplankton density and biomass increased significantly 2005 - 2015. The increase was due to an increase in bosminids and cyclopoids. In 2015, offshore summer epilimnetic zooplankton biomass was 52 mg/m<sup>3</sup> (2005 - 2014 mean=18 mg/m<sup>3</sup>).</li><li>Most zooplankton biomass was found in the metalimnion in July and in the hypolimnion in September. Cyclopoids and <i>Limnocalanus</i> dominated the metalimnion and <i>Limnocalanus</i> dominated the hypolimnion. Whole water column samples taken show a stable zooplankton biomass but changing community composition since 2010. Cyclopoids increased 2013 - 2015 and daphnids declined 2014 - 2015.</li></ol>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2015 Annual report: Bureau of Fisheries, Lake Ontario unit and St. Lawrence River unit, to the Great Lakes Fishery Commission’s Lake Ontario Committee","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"conferenceTitle":"Lake Ontario Committee Meeting","conferenceDate":"March 31 - April 1, 2016","conferenceLocation":"Niagra Falls, ON","language":"English","publisher":"New York State Department of Environmental Conservation","publisherLocation":"Albany, NY","usgsCitation":"Holeck, K.T., Rudstam, L.G., Hotaling, C., McCullough, R., Lemon, D., Pearsall, W., Lantry, J., Connerton, M., LaPan, S., Biesinger, Z., Lantry, B.F., Walsh, M., and Weidel, B., 2016, 2015 status of the Lake Ontario lower trophic levels: NYSDEC Lake Ontario Annual Report  2015, 30 p.","productDescription":"30 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,{"id":70190606,"text":"70190606 - 2016 - Acoustic doppler velocimeter backscatter for quantification of suspended sediment concentration in South San Francisco Bay","interactions":[],"lastModifiedDate":"2017-09-11T10:17:43","indexId":"70190606","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Acoustic doppler velocimeter backscatter for quantification of suspended sediment concentration in South San Francisco Bay","docAbstract":"<p><span>A data set was acquired on a shallow mudflat in south San Francisco Bay that featured simultaneous, co-located optical and acoustic sensors for subsequent estimation of suspended sediment concentrations (SSC). The optical turbidity sensor output was converted to SSC via an empirical relation derived at a nearby site using bottle sample estimates of SSC. The acoustic data was obtained using an acoustic Doppler velocimeter. Backscatter and noise were combined to develop another empirical relation between the optical estimates of SSC and the relative backscatter from the acoustic velocimeter. The optical and acoustic approaches both reproduced similar general trends in the data and have merit. Some seasonal variation in the dataset was evident, with the two methods differing by greater or lesser amounts depending on which portion of the record was examined. It is hypothesized that this is the result of flocculation, affecting the two signals by different degrees, and that the significance or mechanism of the flocculation has some seasonal variability. In the earlier portion of the record (March), there is a clear difference that appears in the acoustic approach between ebb and flood periods, and this is not evident later in the record (May). The acoustic method has promise but it appears that characteristics of flocs that form and break apart may need to be accounted for to improve the power of the method. This may also be true of the optical method: both methods involve assuming that the sediment characteristics (size, size distribution, and shape) are constant</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal engineering proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Coastal Engineering Research Council of COPR Institute of American Society of Civil Engineers (ASCE)","doi":"10.9753/icce.v35.sediment.34","usgsCitation":"Ozturk, M., and Work, P.A., 2016, Acoustic doppler velocimeter backscatter for quantification of suspended sediment concentration in South San Francisco Bay, <i>in</i> Coastal engineering proceedings, v. 35, 12 p., https://doi.org/10.9753/icce.v35.sediment.34.","productDescription":"12 p.","ipdsId":"IP-082707","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471365,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.9753/icce.v35.sediment.34","text":"Publisher Index Page"},{"id":345609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.42477416992186,\n              37.408346344484976\n            ],\n            [\n              -121.91390991210938,\n              37.408346344484976\n            ],\n            [\n              -121.91390991210938,\n              37.82280243352756\n            ],\n            [\n              -122.42477416992186,\n              37.82280243352756\n            ],\n            [\n              -122.42477416992186,\n              37.408346344484976\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-23","publicationStatus":"PW","scienceBaseUri":"59b77071e4b08b1644ddfb32","contributors":{"authors":[{"text":"Ozturk, Mehmet mozturk@usgs.gov","contributorId":196300,"corporation":false,"usgs":false,"family":"Ozturk","given":"Mehmet","email":"mozturk@usgs.gov","affiliations":[],"preferred":false,"id":709971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Work, Paul A. 0000-0002-2815-8040 pwork@usgs.gov","orcid":"https://orcid.org/0000-0002-2815-8040","contributorId":168561,"corporation":false,"usgs":true,"family":"Work","given":"Paul","email":"pwork@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709970,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193061,"text":"70193061 - 2016 - Upper bound of abutment scour in laboratory and field data","interactions":[],"lastModifiedDate":"2017-11-20T16:58:53","indexId":"70193061","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3647,"text":"Transportation Research Record","active":true,"publicationSubtype":{"id":10}},"title":"Upper bound of abutment scour in laboratory and field data","docAbstract":"The U.S. Geological Survey, in cooperation with the South Carolina Department of Transportation, conducted a field investigation of abutment scour in South Carolina and used those data to develop envelope curves that define the upper bound of abutment scour. To expand on this previous work, an additional cooperative investigation was initiated to combine the South Carolina data with abutment scour data from other sources and evaluate upper bound patterns with this larger data set. To facilitate this analysis, 446 laboratory and 331 field measurements of abutment scour were compiled into a digital database. This extensive database was used to evaluate the South Carolina abutment scour envelope curves and to develop additional envelope curves that reflected the upper bound of abutment scour depth for the laboratory and field data. The envelope curves provide simple but useful supplementary tools for assessing the potential maximum abutment scour depth in the field setting.","language":"English","publisher":"Transportation Research Board","doi":"10.3141/2588-17","usgsCitation":"Benedict, S., 2016, Upper bound of abutment scour in laboratory and field data: Transportation Research Record, v. 2588, p. 154-162, https://doi.org/10.3141/2588-17.","productDescription":"9 p.","startPage":"154","endPage":"162","ipdsId":"IP-070567","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":349168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South 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,{"id":70193060,"text":"70193060 - 2016 - Upper bound of pier scour in laboratory and field data","interactions":[],"lastModifiedDate":"2017-11-21T13:07:57","indexId":"70193060","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3647,"text":"Transportation Research Record","active":true,"publicationSubtype":{"id":10}},"title":"Upper bound of pier scour in laboratory and field data","docAbstract":"<p><span>The U.S. Geological Survey (USGS), in cooperation with the South Carolina Department of Transportation, conducted several field investigations of pier scour in South Carolina and used the data to develop envelope curves defining the upper bound of pier scour. To expand on this previous work, an additional cooperative investigation was initiated to combine the South Carolina data with pier scour data from other sources and to evaluate upper-bound relations with this larger data set. To facilitate this analysis, 569 laboratory and 1,858 field measurements of pier scour were compiled to form the 2014 USGS Pier Scour Database. This extensive database was used to develop an envelope curve for the potential maximum pier scour depth encompassing the laboratory and field data. The envelope curve provides a simple but useful tool for assessing the potential maximum pier scour depth for effective pier widths of about 30 ft or less.</span></p>","language":"English","publisher":"Transportation Research Board","doi":"10.3141/2588-16","usgsCitation":"Benedict, S., and Caldwell, A., 2016, Upper bound of pier scour in laboratory and field data: Transportation Research Record, v. 2588, p. 145-153, https://doi.org/10.3141/2588-16.","productDescription":"9 p.","startPage":"145","endPage":"153","ipdsId":"IP-070566","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":349206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South 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Carolina\",\"nation\":\"USA  \"}}]}","volume":"2588","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-01","publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fca","contributors":{"authors":[{"text":"Benedict, Stephen benedict@usgs.gov","contributorId":127829,"corporation":false,"usgs":true,"family":"Benedict","given":"Stephen","email":"benedict@usgs.gov","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":717784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Andral W. 0000-0003-1269-5463 acaldwel@usgs.gov","orcid":"https://orcid.org/0000-0003-1269-5463","contributorId":138690,"corporation":false,"usgs":true,"family":"Caldwell","given":"Andral W.","email":"acaldwel@usgs.gov","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":false,"id":717785,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70195162,"text":"70195162 - 2016 - A tube seepage meter for in situ measurement of seepage rate and groundwater sampling","interactions":[],"lastModifiedDate":"2018-02-07T15:26:33","indexId":"70195162","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"A tube seepage meter for in situ measurement of seepage rate and groundwater sampling","docAbstract":"<p><span>We designed and evaluated a “tube seepage meter” for point measurements of vertical seepage rates (</span><i>q</i><span>), collecting groundwater samples, and estimating vertical hydraulic conductivity (</span><i>K</i><span>) in streambeds. Laboratory testing in artificial streambeds show that seepage rates from the tube seepage meter agreed well with expected values. Results of field testing of the tube seepage meter in a sandy-bottom stream with a mean seepage rate of about 0.5 m/day agreed well with Darcian estimates (vertical hydraulic conductivity times head gradient) when averaged over multiple measurements. The uncertainties in<span>&nbsp;</span></span><i>q</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>K</i><span><span>&nbsp;</span>were evaluated with a Monte Carlo method and are typically 20% and 60%, respectively, for field data, and depend on the magnitude of the hydraulic gradient and the uncertainty in head measurements. The primary advantages of the tube seepage meter are its small footprint, concurrent and colocated assessments of<span>&nbsp;</span></span><i>q</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>K</i><span>, and that it can also be configured as a self-purging groundwater-sampling device.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12388","usgsCitation":"Solder, J.E., Gilmore, T.E., Genereux, D.P., and Solomon, D.K., 2016, A tube seepage meter for in situ measurement of seepage rate and groundwater sampling: Groundwater, v. 54, no. 4, p. 588-595, https://doi.org/10.1111/gwat.12388.","productDescription":"8 p.","startPage":"588","endPage":"595","ipdsId":"IP-066572","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":351293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-18","publicationStatus":"PW","scienceBaseUri":"5a7c1e7ce4b00f54eb229358","contributors":{"authors":[{"text":"Solder, John E. 0000-0002-0660-3326","orcid":"https://orcid.org/0000-0002-0660-3326","contributorId":201953,"corporation":false,"usgs":true,"family":"Solder","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilmore, Troy E.","contributorId":187444,"corporation":false,"usgs":false,"family":"Gilmore","given":"Troy","email":"","middleInitial":"E.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":727260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Genereux, David P.","contributorId":201954,"corporation":false,"usgs":false,"family":"Genereux","given":"David","email":"","middleInitial":"P.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":727261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Solomon, D. Kip","contributorId":201955,"corporation":false,"usgs":false,"family":"Solomon","given":"D.","email":"","middleInitial":"Kip","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":727262,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70195306,"text":"70195306 - 2016 - Lahar","interactions":[],"lastModifiedDate":"2018-02-08T15:59:13","indexId":"70195306","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Lahar","docAbstract":"<p><span>A lahar is a flowing slurry of rock debris and water originating on the slopes of a volcano. The term may also mean the deposit of such a flow.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/978-1-4020-4399-4_206","usgsCitation":"Waitt, R.B., 2016, Lahar, https://doi.org/10.1007/978-1-4020-4399-4_206.","ipdsId":"IP-020750","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":351383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-21","publicationStatus":"PW","scienceBaseUri":"5a7d7002e4b00f54eb2441f9","contributors":{"authors":[{"text":"Waitt, Richard B. 0000-0002-6392-5604 waitt@usgs.gov","orcid":"https://orcid.org/0000-0002-6392-5604","contributorId":2343,"corporation":false,"usgs":true,"family":"Waitt","given":"Richard","email":"waitt@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":727792,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192989,"text":"70192989 - 2016 - Climatic and topographical factors affecting the vegetative carbon stock of rangelands in arid and semiarid regions of China","interactions":[],"lastModifiedDate":"2017-10-30T14:36:39","indexId":"70192989","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5535,"text":"Journal of Resources and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Climatic and topographical factors affecting the vegetative carbon stock of rangelands in arid and semiarid regions of China","docAbstract":"<p><span>Rangeland systems play an important role in ecological stabilization and the terrestrial carbon cycle in arid and semiarid regions. However, little is known about the vegetative carbon dynamics and climatic and topographical factors that affect vegetative carbon stock in these rangelands. Our goal was to assess vegetative carbon stock by examining meteorological data in conjunction with NDVI (normalized difference vegetation index) time series datasets from 2001–2012. An improved CASA (Carnegie Ames Stanford Approach) model was then applied to simulate the spatiotemporal dynamic variation of vegetative carbon stock, and analyze its response to climatic and topographical factors. We estimated the vegetative carbon stock of rangeland in Gansu province, China to be 4.4× 1014 gC, increasing linearly at an annual rate of 9.8×10</span><sup>11</sup><span><span>&nbsp;</span>gC. The mean vegetative carbon density of the whole rangeland was 136.5 gC m</span><sup>-2</sup><span>. Vegetative carbon density and total carbon varied temporally and spatially and were highly associated with temperature, precipitation and solar radiation. Vegetative carbon density reached the maximal value on elevation at 2500–3500 m, a slope of &gt;30°and easterly aspect. The effect of precipitation, temperature and solar radiation on the vegetative carbon density of five rangeland types (desert and salinized meadow, steppe, alpine meadow, shrub and tussock, and marginal grassland in the forest) depends on the acquired quantity of water and heat for rangeland plants at all spatial scales. The results of this study provide new evidence for explaining spatiotemporal heterogeneity in vegetative carbon dynamics and responses to global change for rangeland vegetative carbon stock, and offer a theoretical and practical basis for grassland agriculture management in arid and semiarid regions.</span></p>","language":"English","publisher":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences","doi":"10.5814/j.issn.1674-764x.2016.06.002","usgsCitation":"Zhengchao, R., Huazhong, Z., Shi, H., and Xiaoni, L., 2016, Climatic and topographical factors affecting the vegetative carbon stock of rangelands in arid and semiarid regions of China: Journal of Resources and Ecology, v. 7, no. 6, p. 418-429, https://doi.org/10.5814/j.issn.1674-764x.2016.06.002.","productDescription":"12 p.","startPage":"418","endPage":"429","ipdsId":"IP-057599","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":347721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","state":"Gansu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              96.416015625,\n              42.73087427928485\n            ],\n            [\n              92.98828125,\n              40.613952441166596\n            ],\n            [\n              92.39501953125,\n              39.13006024213511\n            ],\n            [\n              101.90917968749999,\n              32.97180377635759\n            ],\n            [\n              105.5072021484375,\n              32.63012300670739\n            ],\n            [\n              106.57562255859375,\n              33.51391942394942\n            ],\n            [\n              108.6273193359375,\n              35.31512519050729\n            ],\n            [\n              108.70147705078125,\n              36.4433803110554\n            ],\n            [\n              107.05078125,\n              37.232515211349174\n            ],\n            [\n              96.416015625,\n              42.73087427928485\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f83a3de4b063d5d309810e","contributors":{"authors":[{"text":"Zhengchao, Ren","contributorId":198994,"corporation":false,"usgs":false,"family":"Zhengchao","given":"Ren","email":"","affiliations":[],"preferred":false,"id":717832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huazhong, Zhu","contributorId":198995,"corporation":false,"usgs":false,"family":"Huazhong","given":"Zhu","email":"","affiliations":[],"preferred":false,"id":717833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shi, Hua 0000-0001-7013-1565 hshi@usgs.gov","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":646,"corporation":false,"usgs":true,"family":"Shi","given":"Hua","email":"hshi@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":717544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xiaoni, Liu","contributorId":198996,"corporation":false,"usgs":false,"family":"Xiaoni","given":"Liu","email":"","affiliations":[],"preferred":false,"id":717834,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191990,"text":"70191990 - 2016 - Evaluation and refinement of Guadalupe Bass conservation strategies to support adaptive management","interactions":[],"lastModifiedDate":"2018-01-25T13:23:19","indexId":"70191990","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-118-2016","title":"Evaluation and refinement of Guadalupe Bass conservation strategies to support adaptive management","docAbstract":"<p>Burbot Lota lota is the sole freshwater representative of the cod-like fishes and supports subsistence, commercial, and recreational fisheries worldwide above approximately 40° N. It is a difficult species to manage effectively due to its preference for deep-water habitats and spawning activity under the ice in winter. Like other gadiform fishes, Burbot use acoustic signaling as part of their mating system, and while the acoustic repertoire of the species has been characterized under artificial conditions (i.e., net pen suspended under ice in a natural lake), there has been no work to determine whether the species is as vocal in natural spawning aggregations. Our objective was to assess the feasibility of collecting and using acoustic data to characterize the spawning activity and locations of Burbot under field conditions. We recorded audio and video of Burbot spawning aggregations through holes drilled into the ice at known spawning grounds at Moyie Lake in British Columbia, Canada. Acoustic recordings (call counts and audiograms) were analyzed using Raven Pro v 1. 4 software. Acoustic behavior was also related to video data to determine how acoustic activity correlated to any observed spawning behavior. In general, wild Burbot spawning in Moyie Lake did not vocalize as frequently as counterparts spawning under artificial conditions. Further, Burbot vocalizations were not recorded in conjunction with spawning activity. While it may be feasible to use passive acoustic monitoring to locate Burbot spawning grounds and identify periods of activity, it does not seem to hold much promise for locating and quantifying spawning activity in real time.</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Grabowski, T.B., 2016, Evaluation and refinement of Guadalupe Bass conservation strategies to support adaptive management: Cooperator Science Series FWS/CSS-118-2016, ii, 34 p.","productDescription":"ii, 34 p.","numberOfPages":"36","ipdsId":"IP-061759","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350615,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/ref/collection/document/id/2126"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac7e4b06e28e9c9a90c","contributors":{"authors":[{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713817,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192079,"text":"70192079 - 2016 - Testing and use of radar water level sensors by the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2018-02-27T13:29:43","indexId":"70192079","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Testing and use of radar water level sensors by the U.S. Geological Survey","docAbstract":"<p>The United States Geological Survey uses water-level (or stage) measurements to compute streamflow at over 8000 stream gaging stations located throughout the United States (waterwatch.usgs.gov, 2016). Streamflow (or discharge) is computed at five minute to hourly intervals from a relationship between water level and discharge that is uniquely determined for each station. The discharges are posted hourly to WaterWatch (waterwatch. usgs.gov) and are used by water managers to issue flood warnings and manage water supply and by other users of water information to make decisions. The accuracy of the water-level measurement is vital to the accuracy of the computed discharge. Because of the importance of water-level measurements, USGS has an accuracy policy of 0.02 ft or 0.2 percent of reading (whichever is larger) (Sauer and Turnipseed, 2010). Older technologies, such as float and shaft-encoder systems, bubbler systems and submersible pressure sensors, provide the needed accuracy but often require extensive construction to install and are prone to malfunctioning and damage from floating debris and sediment. No stilling wells or orifice lines need to be constructed for radar installations. During the last decade testing by the USGS Hydrologic Instrumentation Facility(HIF) found that radar water-level sensors can provide the needed accuracy for water-level measurements and because the sensor can be easily attached to bridges, reduce the construction required for installation. Additionally, the non-contact sensing of water level minimizes or eliminates damage and fouling from floating debris and sediment. This article is a brief summary of the testing efforts by the USGS HIF and field experiences with models of radar water-level sensors in streamflow measurement applications. Any use of trade names in this article is for descriptive purposes only and does not imply endorsement by the U.S. Government. </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Manual on sea level: Measurement and interpretation Volume V: Radar gauges","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"United Nations Educational, Scientific and Cultural Organization","usgsCitation":"Fulford, J.M., 2016, Testing and use of radar water level sensors by the U.S. Geological Survey, 4 p.","productDescription":"4 p.","startPage":"121","endPage":"124","ipdsId":"IP-072695","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":352083,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346989,"type":{"id":15,"text":"Index Page"},"url":"https://unesdoc.unesco.org/images/0024/002469/246981E.pdf"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeea4ce4b0da30c1bfc5eb","contributors":{"authors":[{"text":"Fulford, Janice M. jfulford@usgs.gov","contributorId":991,"corporation":false,"usgs":true,"family":"Fulford","given":"Janice","email":"jfulford@usgs.gov","middleInitial":"M.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":714093,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192450,"text":"70192450 - 2016 - Soil mercury distribution in adjacent coniferous and deciduous stands highly impacted by acid rain in the Ore Mountains, Czech Republic","interactions":[],"lastModifiedDate":"2017-10-25T18:12:38","indexId":"70192450","displayToPublicDate":"2016-01-01T00:00:00","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":"Soil mercury distribution in adjacent coniferous and deciduous stands highly impacted by acid rain in the Ore Mountains, Czech Republic","docAbstract":"<p>Forests play a primary role in the cycling and storage of mercury (Hg) in terrestrial ecosystems. This study aimed to assess differences in Hg cycling and storage resulting from different vegetation at two adjacent forest stands - beech and spruce. The study site Načetín in the Czech Republic's Black Triangle received high atmospheric loadings of Hg from coal combustion in the second half of the 20th century as documented by peat accumulation rates reaching 100&nbsp;μg&nbsp;m<sup>−2</sup> y<sup>−1</sup>. In 2004, the annual litterfall Hg flux was 22.5&nbsp;μg&nbsp;m<sup>−2</sup> y<sup>−1</sup> in the beech stand and 14.5&nbsp;μg&nbsp;m<sup>−2</sup> y<sup>−1</sup> in the spruce stand. Soil concentrations and pools of Hg had a strong positive relation to soil organic matter and concentrations of soil sulfur (S) and nitrogen (N). O-horizon Hg concentrations ranged from 245 to 495&nbsp;μg&nbsp;kg<sup>−1</sup> and were greater in the spruce stand soil, probably as a result of greater dry Hg deposition. Mineral soil Hg concentrations ranged from 51 to 163&nbsp;μg&nbsp;kg<sup>−1</sup> and were greater in the beech stand soil due to its greater capacity to store organic carbon (C). The Hg/C ratio increased with depth from 0.3 in the O-horizon to 3.8&nbsp;μg&nbsp;g<sup>−1</sup> in the C horizon of spruce soil and from 0.7 to 2.7&nbsp;μg&nbsp;g<sup>−1</sup> in beech soil. The Hg/C ratio was greater at all mineral soil depths in the spruce stand. The organic soil Hg pools in beech and spruce stands (6.4 and 5.7 mg m<sup>−2</sup>, respectively) were considerably lower than corresponding mineral soil Hg pools (39.1 and 25.8&nbsp;mg&nbsp;m<sup>−2</sup>). Despite the important role of S in Hg cycling, differences in soil Hg distribution at both stands could not be attributed to differences in soil sulfur speciation.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2016.10.005","usgsCitation":"Navrátil, T., Shanley, J.B., Rohovec, J., Oulehle, F., Simecek, M., Houska, J., and Cudlin, P., 2016, Soil mercury distribution in adjacent coniferous and deciduous stands highly impacted by acid rain in the Ore Mountains, Czech Republic: Applied Geochemistry, v. 75, p. 63-75, https://doi.org/10.1016/j.apgeochem.2016.10.005.","productDescription":"13 p.","startPage":"63","endPage":"75","ipdsId":"IP-079376","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":347423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Czech Republic","otherGeospatial":"Ore Mountains","volume":"75","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a7e4b0220bbd9d9f80","contributors":{"authors":[{"text":"Navrátil, Tomáš","contributorId":149720,"corporation":false,"usgs":false,"family":"Navrátil","given":"Tomáš","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":715898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rohovec, Jan","contributorId":149721,"corporation":false,"usgs":false,"family":"Rohovec","given":"Jan","email":"","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":715899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oulehle, Filip","contributorId":149722,"corporation":false,"usgs":false,"family":"Oulehle","given":"Filip","email":"","affiliations":[{"id":17791,"text":"Czech Geological Survey","active":true,"usgs":false}],"preferred":false,"id":715900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simecek, Martin","contributorId":198385,"corporation":false,"usgs":false,"family":"Simecek","given":"Martin","email":"","affiliations":[{"id":35216,"text":"Institute of Geology AS CR, v.v.i., Rozvojová 269, 165 00 Prague 6, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":715901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Houska, Jakub","contributorId":198386,"corporation":false,"usgs":false,"family":"Houska","given":"Jakub","email":"","affiliations":[{"id":29875,"text":"Czech University of Life Sciences, Praha 6-Suchdol, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":715902,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cudlin, Pavel","contributorId":198387,"corporation":false,"usgs":false,"family":"Cudlin","given":"Pavel","email":"","affiliations":[{"id":35217,"text":"Global Change Research Centre of the AS CR, v.v.i., Poříčí 3b, 60 300 Brno, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":715903,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70198170,"text":"70198170 - 2016 - Nutrient dynamics of the Delta: Effects on primary producers","interactions":[],"lastModifiedDate":"2018-07-18T16:03:45","indexId":"70198170","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Nutrient dynamics of the Delta: Effects on primary producers","docAbstract":"<p><span>Increasing clarity of Delta waters, the emergence of harmful algal blooms, the proliferation of aquatic water weeds, and the altered food web of the Delta have brought nutrient dynamics to the forefront. This paper focuses on the sources of nutrients, the transformation and uptake of nutrients, and the links of nutrients to primary producers. The largest loads of nutrients to the Delta come from the Sacramento River with the San Joaquin River seasonally important, especially in the summer. Nutrient concentrations reflect riverine inputs in winter and internal biological processes during periods of lower flow with internal nitrogen losses within the Delta estimated at approximately 30% annually. Light regime, grazing pressure, and nutrient availability influence rates of primary production at different times and locations within the Delta. The roles of the chemical form of dissolved inorganic nitrogen in growth rates of primary producers in the Delta and the structure of the open-water algal community are currently topics of much interest and considerable debate. Harmful algal blooms have been noted since the late 1990s, and the extent of invasive aquatic macrophytes (both submerged and free-floating forms) has increased especially during years of drought. Elevated nutrient loads must be considered in terms of their ability to support this excess biomass. Modern sensor technology and networks are now deployed that make high-frequency measurements of nitrate, ammonium, and phosphate. Data from such instruments allow a much more detailed assessment of the spatial and temporal dynamics of nutrients. Four fruitful directions for future research include utilizing continuous sensor data to estimate rates of primary production and ecosystem respiration, linking hydrodynamic models of the Delta with the transport and fate of dissolved nutrients, studying nutrient dynamics in various habitat types, and exploring the use of stable isotopes to trace the movement and fate of effluent-derived nutrients.</span></p>","language":"English","publisher":"University of California","doi":"10.15447/sfews.2016v14iss4art4","usgsCitation":"Dahm, C., Parker, A.E., Adelson, A.E., Christman, M.A., and Bergamaschi, B.A., 2016, Nutrient dynamics of the Delta: Effects on primary producers: San Francisco Estuary and Watershed Science, v. 14, no. 4, Article 4; 35 p., https://doi.org/10.15447/sfews.2016v14iss4art4.","productDescription":"Article 4; 35 p.","ipdsId":"IP-099451","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471375,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2016v14iss4art4","text":"Publisher Index Page"},{"id":355816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.13775634765625,\n              37.73053874574077\n            ],\n            [\n              -121.25610351562499,\n              37.73053874574077\n            ],\n            [\n              -121.25610351562499,\n              38.25112269630296\n            ],\n            [\n              -122.13775634765625,\n              38.25112269630296\n            ],\n            [\n              -122.13775634765625,\n              37.73053874574077\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-28","publicationStatus":"PW","scienceBaseUri":"5b6fca10e4b0f5d57878ec8c","contributors":{"authors":[{"text":"Dahm, Clifford N.","contributorId":22730,"corporation":false,"usgs":false,"family":"Dahm","given":"Clifford N.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":740403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, Alexander E.","contributorId":206434,"corporation":false,"usgs":false,"family":"Parker","given":"Alexander","email":"","middleInitial":"E.","affiliations":[{"id":37328,"text":"California State University Maritime Academy Vallejo, CA","active":true,"usgs":false}],"preferred":false,"id":740404,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adelson, Anne E.","contributorId":206435,"corporation":false,"usgs":false,"family":"Adelson","given":"Anne","email":"","middleInitial":"E.","affiliations":[{"id":37329,"text":"Delta Stewardship Council Sacramento, CA","active":true,"usgs":false}],"preferred":false,"id":740405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christman, Mairgareth A.","contributorId":206436,"corporation":false,"usgs":false,"family":"Christman","given":"Mairgareth","email":"","middleInitial":"A.","affiliations":[{"id":37330,"text":"Delta Stewardship Council, Sacramento, CA","active":true,"usgs":false}],"preferred":false,"id":740406,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":740402,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192674,"text":"70192674 - 2016 - Microhabitat suitability and niche breadth of common and imperiled Atlantic Slope freshwater mussels","interactions":[],"lastModifiedDate":"2020-12-17T21:12:10.021719","indexId":"70192674","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5254,"text":"Freshwater Mollusk Biology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Microhabitat suitability and niche breadth of common and imperiled Atlantic Slope freshwater mussels","docAbstract":"<p>Knowledge of the habitat suitability of freshwater mussels (family Unionidae) is necessary for effective decision making in conservation and management. We empirically measured microhabitat use for 10 unionid mussel species, including the U.S. federally endangered Alasmidonta heterodon, at 20 sites in the Tar River basin, North Carolina, USA. We also quantified habitat availability at each site, and calculated habitat suitability for each mussel species. The majority of available habitat across all sites consisted of shallow, slow-moving water with penetrable silt or sand substrate. Among species, mean water depth of occupied habitats ranged 0.23 – 0.54 m, mean bottom velocity ranged 0.001 – 0.055 m/s, average mean-column velocity ranged 0 – 0.055 m/s, and mean substrate penetrability ranged 0.11 – 11.67 on an index scale. The most commonly measured dominant substrate materials were silt, sand, very coarse sand, pea gravel, and coarse gravel. The most common cover types were coarse woody debris and fine woody debris. These findings revealed a relationship between the niche breadth and conservation status of four species. Federally endangered A. heterodon consistently showed a narrower suite of suitable microhabitats than the common mussel Elliptio complanata. The range of suitable habitat characteristics for Fusconaia masoni and Villosa constricta, listed as North Carolina (USA) state endangered and special concern, respectively, was typically narrower than those of E. complanata and wider than those of A. heterodon. These habitat suitability criteria and relationships will be useful to guide identification of suitable sites for habitat protection, mussel relocation, or site restoration.</p>","language":"English","publisher":"Freshwater Mollusk Conservation Society","doi":"10.31931/fmbc.v19i2.2016.27-50","usgsCitation":"Pandolfo, T.J., Kwak, T.J., and Cope, W., 2016, Microhabitat suitability and niche breadth of common and imperiled Atlantic Slope freshwater mussels: Freshwater Mollusk Biology and Conservation, v. 19, no. 2, p. 27-50, https://doi.org/10.31931/fmbc.v19i2.2016.27-50.","productDescription":"24 p.","startPage":"27","endPage":"50","ipdsId":"IP-074802","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":471373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31931/fmbc.v19i2.2016.27-50","text":"Publisher Index Page"},{"id":349350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Tar River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.03887939453125,\n              35.53222622770337\n            ],\n            [\n              -76.97982788085938,\n              35.69187929931617\n            ],\n            [\n              -77.47146606445312,\n              36.01800375871416\n            ],\n            [\n              -77.706298828125,\n              35.85789180225939\n            ],\n            [\n              -77.78182983398438,\n              35.74874138089811\n            ],\n            [\n              -77.5469970703125,\n              35.51434313431818\n            ],\n            [\n              -77.25173950195312,\n              35.49198366469642\n            ],\n            [\n              -77.03887939453125,\n              35.53222622770337\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"19","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fd5","contributors":{"authors":[{"text":"Pandolfo, Tamara J.","contributorId":146388,"corporation":false,"usgs":false,"family":"Pandolfo","given":"Tamara","email":"","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":723525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cope, W. Gregory","contributorId":70353,"corporation":false,"usgs":true,"family":"Cope","given":"W. Gregory","affiliations":[],"preferred":false,"id":723526,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192835,"text":"70192835 - 2016 - Potentially induced earthquakes during the early twentieth century in the Los Angeles Basin","interactions":[],"lastModifiedDate":"2017-10-30T16:15:06","indexId":"70192835","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Potentially induced earthquakes during the early twentieth century in the Los Angeles Basin","docAbstract":"<p><span>Recent studies have presented evidence that early to mid‐twentieth‐century earthquakes in Oklahoma and Texas were likely induced by fossil fuel production and/or injection of wastewater (</span><span id=\"xref-ref-48-1\" class=\"xref-bibr\">Hough and Page, 2015</span><span>;<span>&nbsp;</span></span><span id=\"xref-ref-30-1\" class=\"xref-bibr\">Frohlich<span>&nbsp;</span><i>et&nbsp;al.</i>, 2016</span><span>). Considering seismicity from 1935 onward,<span>&nbsp;</span></span><span id=\"xref-ref-40-1\" class=\"xref-bibr\">Hauksson<span>&nbsp;</span><i>et&nbsp;al.</i><span>&nbsp;</span>(2015)</span><span><span>&nbsp;</span>concluded that there is no evidence for significant induced activity in the greater Los Angeles region between 1935 and the present. To explore a possible association between earthquakes prior to 1935 and oil and gas production, we first revisit the historical catalog and then review contemporary oil industry activities. Although early industry activities did not induce large numbers of earthquakes, we present evidence for an association between the initial oil boom in the greater Los Angeles area and earthquakes between 1915 and 1932, including the damaging 22 June 1920 Inglewood and 8 July 1929 Whittier earthquakes. We further consider whether the 1933<span>&nbsp;</span></span><i>M</i><sub>w</sub><span>&nbsp;6.4 Long Beach earthquake might have been induced, and show some evidence that points to a causative relationship between the earthquake and activities in the Huntington Beach oil field. The hypothesis that the Long Beach earthquake was either induced or triggered by an foreshock cannot be ruled out. Our results suggest that significant earthquakes in southern California during the early twentieth century might have been associated with industry practices that are no longer employed (i.e., production without water reinjection), and do not necessarily imply a high likelihood of induced earthquakes at the present time.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160157","usgsCitation":"Hough, S.E., and Page, M.T., 2016, Potentially induced earthquakes during the early twentieth century in the Los Angeles Basin: Bulletin of the Seismological Society of America, v. 106, no. 6, p. 2419-2435, https://doi.org/10.1785/0120160157.","productDescription":"17 p.","startPage":"2419","endPage":"2435","ipdsId":"IP-078170","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles","otherGeospatial":"Los Angeles Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.6667,\n              33.44060944370356\n            ],\n            [\n              -117.69790649414061,\n              33.44060944370356\n            ],\n            [\n              -117.69790649414061,\n              34.1667\n            ],\n            [\n              -118.6667,\n              34.1667\n            ],\n            [\n              -118.6667,\n              33.44060944370356\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"106","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-01","publicationStatus":"PW","scienceBaseUri":"59f83a3de4b063d5d3098114","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":717132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":717133,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192536,"text":"70192536 - 2016 - A simple prioritization tool to diagnose impairment of stream temperature for coldwater fishes in the Great Basin","interactions":[],"lastModifiedDate":"2017-11-27T09:40:19","indexId":"70192536","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A simple prioritization tool to diagnose impairment of stream temperature for coldwater fishes in the Great Basin","docAbstract":"<p><span>We provide a simple framework for diagnosing the impairment of stream water temperature for coldwater fishes across broad spatial extents based on a weight-of-evidence approach that integrates biological criteria, species distribution models, and geostatistical models of stream temperature. As a test case, we applied our approach to identify stream reaches most likely to be thermally impaired for Lahontan Cutthroat Trout&nbsp;</span><i>Oncorhynchus clarkii henshawi</i><span><span>&nbsp;</span>in the upper Reese River, located in the northern Great Basin, Nevada. We first evaluated the capability of stream thermal regime descriptors to explain variation across 170 sites, and we found that the 7-d moving average of daily maximum stream temperatures (7DADM) provided minimal among-descriptor redundancy and, based on an upper threshold of 20°C, was also a good indicator of acute and chronic thermal stress. Next, we quantified the range of Lahontan Cutthroat Trout within our study area using a geographic distribution model. Finally, we used a geostatistical model to assess spatial variation in 7DADM and predict potential thermal impairment at the stream reach scale. We found that whereas 38% of reaches in our study area exceeded a 7DADM of 20°C and 35% were significantly warmer than predicted, only 17% both exceeded the biological criterion and were significantly warmer than predicted. This filtering allowed us to identify locations where physical<span>&nbsp;</span></span><i>and</i><span><span>&nbsp;</span>biological impairment were most likely within the network and that would represent the highest management priorities. Although our approach lacks the precision of more comprehensive approaches, it provides a broader context for diagnosing impairment and is a useful means of identifying priorities for more detailed evaluations across broad and heterogeneous stream networks.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2015.1115449","usgsCitation":"Falke, J.A., Dunham, J., Hockman-Wert, D., and Pahl, R.A., 2016, A simple prioritization tool to diagnose impairment of stream temperature for coldwater fishes in the Great Basin: North American Journal of Fisheries Management, v. 36, no. 1, p. 147-160, https://doi.org/10.1080/02755947.2015.1115449.","productDescription":"14 p.","startPage":"147","endPage":"160","ipdsId":"IP-057867","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":471386,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/A_Simple_Prioritization_Tool_to_Diagnose_Impairment_of_Stream_Temperature_for_Coldwater_Fishes_in_the_Great_Basin/2069493","text":"External Repository"},{"id":347448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Great Basin","volume":"36","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-01","publicationStatus":"PW","scienceBaseUri":"5a07ea76e4b09af898c8cc8d","contributors":{"authors":[{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. jdunham@usgs.gov","contributorId":147527,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":716150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hockman-Wert, David 0000-0003-2436-6237 dhockman-wert@usgs.gov","orcid":"https://orcid.org/0000-0003-2436-6237","contributorId":3891,"corporation":false,"usgs":true,"family":"Hockman-Wert","given":"David","email":"dhockman-wert@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":716151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pahl, Randy A.","contributorId":198468,"corporation":false,"usgs":false,"family":"Pahl","given":"Randy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716152,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191228,"text":"70191228 - 2016 - High performance computing to support multiscale representation of hydrography for the conterminous United States","interactions":[],"lastModifiedDate":"2017-10-04T08:41:29","indexId":"70191228","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"High performance computing to support multiscale representation of hydrography for the conterminous United States","docAbstract":"<p>The National Hydrography Dataset (NHD) for the United States furnishes a comprehensive set of vector features representing the surface-waters in the country (U.S. Geological Survey 2000). The high-resolution (HR) layer of the NHD is largely comprised of hydrographic features originally derived from 1:24,000-scale (24K) U.S. Topographic maps. However, in recent years (2009 to present) densified hydrographic feature content, from sources as large as 1:2,400, have been incorporated into some watersheds of the HR NHD within the conterminous United States to better support the needs of various local and state organizations. As such, the HR NHD is a multiresolution dataset with obvious data density variations because of scale changes. In addition, data density variations exist within the HR NHD that are particularly evident in the surface-water flow network (NHD flowlines) because of natural variations of local geographic conditions; and also because of unintentional compilation inconsistencies due to variations in data collection standards and climate conditions over the many years of 24K hydrographic data collection (US Geological Survey 1955). </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"19th ICA Workshop,  Automated Generalisation for On-Demand Mapping","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Cartographic Association Commission on Generlisation and Multiple Representation","usgsCitation":"Stanislawski, L.V., Liu, Y., Buttenfield, B., Survila, K., Wendel, J., and Okok, A., 2016, High performance computing to support multiscale representation of hydrography for the conterminous United States, <i>in</i> 19th ICA Workshop,  Automated Generalisation for On-Demand Mapping, 10 p.","productDescription":"10 p.","ipdsId":"IP-076465","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":346350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346295,"type":{"id":15,"text":"Index Page"},"url":"https://generalisation.icaci.org/prevevents/95-workshop2016program.html"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d4a1abe4b05fe04cc4e10a","contributors":{"authors":[{"text":"Stanislawski, Larry V. 0000-0002-9437-0576 lstan@usgs.gov","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":3386,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","email":"lstan@usgs.gov","middleInitial":"V.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":711622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Yan 0000-0003-2298-4728","orcid":"https://orcid.org/0000-0003-2298-4728","contributorId":196790,"corporation":false,"usgs":false,"family":"Liu","given":"Yan","email":"","affiliations":[],"preferred":false,"id":711623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buttenfield, Barbara P.","contributorId":145538,"corporation":false,"usgs":false,"family":"Buttenfield","given":"Barbara P.","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":711624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Survila, Kornelijus 0000-0003-4851-6084","orcid":"https://orcid.org/0000-0003-4851-6084","contributorId":196791,"corporation":false,"usgs":false,"family":"Survila","given":"Kornelijus","email":"","affiliations":[],"preferred":false,"id":711625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wendel, Jeffrey 0000-0003-0294-0250 jwendel@usgs.gov","orcid":"https://orcid.org/0000-0003-0294-0250","contributorId":196792,"corporation":false,"usgs":true,"family":"Wendel","given":"Jeffrey","email":"jwendel@usgs.gov","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":711626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Okok, Abdurraouf","contributorId":196793,"corporation":false,"usgs":false,"family":"Okok","given":"Abdurraouf","email":"","affiliations":[],"preferred":false,"id":711627,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70169002,"text":"70169002 - 2016 - Rating curve uncertainty: A comparison of estimation methods","interactions":[],"lastModifiedDate":"2017-04-25T10:35:59","indexId":"70169002","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Rating curve uncertainty: A comparison of estimation methods","docAbstract":"<p>The USGS is engaged in both internal development and collaborative efforts to evaluate existing methods for characterizing the uncertainty of streamflow measurements (gaugings), stage-discharge relations (ratings), and, ultimately, the streamflow records derived from them. This paper provides a brief overview of two candidate methods that may be used to characterize the uncertainty of ratings, and illustrates the results of their application to the ratings of the two USGS streamgages.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the international conference on fluvial hydraulics (river flow 2016)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Conference on Fluvial Hydraulics (River Flow 2016)","conferenceDate":"July 11-14, 2016","conferenceLocation":"St. Louis, MO","language":"English","publisher":"CRC Press","doi":"10.1201/9781315644479-115","isbn":"978-1-138-02913-2","usgsCitation":"Mason, Kiang, J.E., and Cohn, T., 2016, Rating curve uncertainty: A comparison of estimation methods, <i>in</i> Proceedings of the international conference on fluvial hydraulics (river flow 2016), St. Louis, MO, July 11-14, 2016, p. 729-734, https://doi.org/10.1201/9781315644479-115.","productDescription":"6 p.","startPage":"729","endPage":"734","ipdsId":"IP-073963","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":340158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-06","publicationStatus":"PW","scienceBaseUri":"58ff0e9ee4b006455f2d61c4","contributors":{"editors":[{"text":"Constantinescu, George","contributorId":174167,"corporation":false,"usgs":false,"family":"Constantinescu","given":"George","email":"","affiliations":[{"id":7241,"text":"IIHR-Hydroscience and Engineering, Department of Civil and Environmental Engineering, The University of Iowa","active":true,"usgs":false}],"preferred":false,"id":692521,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":692522,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Hanes, Dan","contributorId":174168,"corporation":false,"usgs":false,"family":"Hanes","given":"Dan","email":"","affiliations":[{"id":12995,"text":"Department of Earth and Atmospheric Sciences, Saint Louis University","active":true,"usgs":false}],"preferred":false,"id":692523,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Mason, Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":2090,"corporation":false,"usgs":true,"family":"Mason","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":622465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":622466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cohn, Timothy A. tacohn@usgs.gov","contributorId":2927,"corporation":false,"usgs":true,"family":"Cohn","given":"Timothy A.","email":"tacohn@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":622467,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70180371,"text":"70180371 - 2016 - Potentiometric surface and water-level difference maps of selected confined aquifers in Southern Maryland and Maryland’s Eastern Shore, 1975-2015","interactions":[],"lastModifiedDate":"2017-02-16T15:41:14","indexId":"70180371","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Potentiometric surface and water-level difference maps of selected confined aquifers in Southern Maryland and Maryland’s Eastern Shore, 1975-2015","docAbstract":"Key Results\r\n\r\nThis report presents potentiometric-surface maps of the Aquia and Magothy aquifers and the Upper Patapsco, Lower Patapsco, and Patuxent aquifer systems using water levels measured during September 2015. Water-level difference maps are also presented for these aquifers. The water-level differences in the Aquia aquifer are shown using groundwater-level data from 1982 and 2015, while the water-level differences are shown for the Magothy aquifer using data from 1975 and 2015. Water-level difference maps for both the Upper Patapsco and Lower Patapsco aquifer systems are shown using data from 1990 and 2015. The water-level differences in the Patuxent aquifer system are shown using groundwater-level data from 2007 and 2015.\r\n\r\nThe potentiometric surface maps show water levels ranging from 53 feet above sea level to 164 feet below sea level in the Aquia aquifer, from 86 feet above sea level to 106 feet below sea level in the Magothy aquifer, from 115 feet above sea level to 115 feet below sea level in the Upper Patapsco aquifer system, from 106 feet above sea level to 194 feet below sea level in the Lower Patapsco aquifer system, and from 165 feet above sea level to 171 feet below sea level in the Patuxent aquifer system. Water levels have declined by as much as 116 feet in the Aquia aquifer since 1982, 99 feet in the Magothy aquifer since 1975, 66 and 83 feet in the Upper Patapsco and Lower Patapsco aquifer systems, respectively, since 1990, and 80 feet in the Patuxent aquifer system since 2007.","language":"English","publisher":"Maryland Geological Survey","collaboration":"Maryland Geological Survey; Maryland Department of Natural Resources","usgsCitation":"Curtin, S.E., Staley, A.W., and Andreasen, D.C., 2016, Potentiometric surface and water-level difference maps of selected confined aquifers in Southern Maryland and Maryland’s Eastern Shore, 1975-2015, iii., 30 p. .","productDescription":"iii., 30 p. ","ipdsId":"IP-077192","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":335793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":334236,"type":{"id":15,"text":"Index Page"},"url":"https://www.mgs.md.gov/publications/report_pages/OFR_16-02-02.html"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c833e4b025c464286294","contributors":{"authors":[{"text":"Curtin, Stephen E. securtin@usgs.gov","contributorId":3703,"corporation":false,"usgs":true,"family":"Curtin","given":"Stephen","email":"securtin@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Staley, Andrew W.","contributorId":178867,"corporation":false,"usgs":false,"family":"Staley","given":"Andrew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":661416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andreasen, David C.","contributorId":178868,"corporation":false,"usgs":false,"family":"Andreasen","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":661417,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186653,"text":"70186653 - 2016 - Proceedings of the 2015 international summit on fibropapillomatosis: Global status, trends, and population impacts","interactions":[],"lastModifiedDate":"2017-04-25T16:34:06","indexId":"70186653","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":269,"text":"NOAA Technical Memorandum","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"NMFS-PIFSC-54","title":"Proceedings of the 2015 international summit on fibropapillomatosis: Global status, trends, and population impacts","docAbstract":"<p><span>The 2015 International Summit on Fibropapillomatosis (FP) was convened in Honolulu, Hawaii June 11-14, 2015. Scientists from around the world were invited to present results from sea turtle monitoring and research programs as they relate to the global status, trends, and population impacts of FP on green turtles. The participants engaged in discussions that resulted in the following conclusions: 1.Globally, FP has long been present in wild sea turtle populations the earliest mention was in the late 1800s in the Florida Keys. 2.FP primarily affects medium-sized immature turtles in coastal foraging pastures. 3.Expression of FP differs across ocean basins and to some degree within basins. Turtles in the Southeast US, Caribbean, Brazil, and Australia rarely have oral tumors (inside the mouth cavity), whereas they are common and often severe in Hawaii. Internal tumors (on vital organs) occur in the Atlantic and Hawaii, but only rarely in Australia. Liver tumors are common in Florida but not in Hawaii. 4.Recovery from FP through natural processes, when the affliction is not severe, has been documented in wild populations globally. 5.FP causes reduced survivorship, but documented mortality rates in Australia and Hawaii are low. The mortality impact of FP is not currently exceeding population growth rates in some intensively monitored populations (e.g., Florida, Hawaii) as evidenced by increasing nesting trends despite the incidence of FP in immature foraging populations. 6.Pathogens, hosts, and potential disease and environmental cofactors have the capacity to change; while we are having success now, there needs to be continued monitoring to detect changes in the distribution, occurrence, and severity of the disease. 7.While we do not have clear evidence to provide the direct link, globally, the preponderance of sites with a high frequency of FP tumors are areas with some degree of degradation resulting from altered watersheds. Watershed management and responsible coastal development may be the best approach for reducing the spread and prevalence of the disease. 8.Future research efforts should employ a multi-factorial ecological approach (e.g., virology, parasitology, genetics, health, diet, habitat use, water quality, etc.) since there are likely several environmental cofactors involved in the expression of the disease, which is still thought to be caused by a herpesvirus. 9.Minimum FP data collection in new areas should include: individual identification (photo ID, PIT tags, etc.), standard measurements (length and weight), presence/absence of tumors, tumor severity, body condition, oral examination, method of capture, and effort</span></p>","conferenceTitle":"2015 International Summit on Fibropapillomatosis","conferenceDate":"June 11-14, 2015","conferenceLocation":"Honolulu, HI","language":"English","publisher":"NOAA","doi":"10.7289/V5/TM-PIFSC-54","usgsCitation":"Hargrove, S.A., Work, T.M., Brunson, S., Foley, A., and Balazs, G.H., 2016, Proceedings of the 2015 international summit on fibropapillomatosis: Global status, trends, and population impacts: NOAA Technical Memorandum NMFS-PIFSC-54, v, 79 p., https://doi.org/10.7289/V5/TM-PIFSC-54.","productDescription":"v, 79 p.","numberOfPages":"87","ipdsId":"IP-077988","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":339356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e753ede4b09da6799c0c51","contributors":{"authors":[{"text":"Hargrove, Stacy A.","contributorId":190643,"corporation":false,"usgs":false,"family":"Hargrove","given":"Stacy","email":"","middleInitial":"A.","affiliations":[{"id":16685,"text":"National Oceanic and Atmopheric Administration","active":true,"usgs":false}],"preferred":false,"id":690182,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":690183,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brunson, Shandell","contributorId":190647,"corporation":false,"usgs":false,"family":"Brunson","given":"Shandell","email":"","affiliations":[{"id":7109,"text":"NOAA, National Marine Fisheries Service, Pacific Islands Fisheries Science Center, 1845 Wasp Boulevard, Building 176, Honolulu, HI 96818.","active":true,"usgs":false}],"preferred":false,"id":690184,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foley, Allen M.","contributorId":80178,"corporation":false,"usgs":true,"family":"Foley","given":"Allen M.","affiliations":[],"preferred":false,"id":690185,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balazs, George H.","contributorId":127680,"corporation":false,"usgs":false,"family":"Balazs","given":"George","email":"","middleInitial":"H.","affiliations":[{"id":7109,"text":"NOAA, National Marine Fisheries Service, Pacific Islands Fisheries Science Center, 1845 Wasp Boulevard, Building 176, Honolulu, HI 96818.","active":true,"usgs":false}],"preferred":false,"id":690186,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70181770,"text":"70181770 - 2016 - Targets set to reduce Lake Erie algae","interactions":[],"lastModifiedDate":"2017-02-16T15:34:57","indexId":"70181770","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Targets set to reduce Lake Erie algae","docAbstract":"<p>In February 2016, the Great Lakes Executive Committee, which oversees the implementation of the Great Lakes Water Quality Agreement (GLWQA) between the U.S. and Canada, approved phosphorus loading targets for Lake Erie to reduce the size of harmful algal blooms (HABs), reduce the presence of the low oxygen zone in the central basin, and protect nearshore water quality. The targets are set with respect to the nutrient loads calculated for 2008. To reduce the impacts of HABs on Lake Erie a target was set of a 40 percent reduction in total and soluble reactive phosphorus loads in the spring from two Canadian rivers and several Michigan and Ohio rivers, especially the Maumee River (https://binational.net/2016/02/22/ finalptargets-ciblesfinalesdep/). States and the province of Ontario are already developing Domestic Action Plans to accomplish the reductions and scientists are developing research and monitoring plans to assess progress. </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Michigan State of the Great Lakes","language":"English","publisher":"Michigan Office of the Great Lakes","collaboration":"Michigan Department of Environmental Quality","usgsCitation":"Evans, M.A., 2016, Targets set to reduce Lake Erie algae, 2 p.","productDescription":"2 p.","startPage":"12","endPage":"13","ipdsId":"IP-081007","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":335790,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335280,"type":{"id":15,"text":"Index Page"},"url":"https://www.michigan.gov/documents/deq/SOGL_2016_546173_7.pdf"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c833e4b025c464286290","contributors":{"authors":[{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":668452,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70180405,"text":"70180405 - 2016 - Conservation planning for the Colorado River in Utah","interactions":[],"lastModifiedDate":"2019-06-03T13:23:59","indexId":"70180405","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Conservation planning for the Colorado River in Utah","docAbstract":"<p>Strategic planning is increasingly recognized as necessary for providing the greatest possible conservation benefits for restoration efforts. Rigorous, science-based resource assessment, combined with acknowledgement of broader basin trends, provides a solid foundation for determining effective projects. It is equally important that methods used to prioritize conservation investments are simple and practical enough that they can be implemented in a timely manner and by a variety of resource managers. With the help of local and regional natural resource professionals, we have developed a broad-scale, spatially-explicit assessment of 146 miles (~20,000 acres) of the Colorado River mainstem in Grand and San Juan Counties, Utah that will function as the basis for a systematic, practical approach to conservation planning and riparian restoration prioritization. For the assessment we have: 1) acquired, modified or created spatial datasets of Colorado River bottomland conditions; 2) synthesized those datasets into habitat suitability models and estimates of natural recovery potential, fire risk and relative cost; 3) investigated and described dominant ecosystem trends and human uses, and; 4) suggested site selection and prioritization approaches. Partner organizations (The Nature Conservancy, National Park Service, Bureau of Land Management and Utah Forestry Fire and State Lands) are using the assessment and datasets to identify and prioritize a suite of restoration actions to increase ecosystem resilience and improve habitat for bottomland species. Primary datasets include maps of bottomland cover types, bottomland extent, maps of areas inundated during high and low flow events, as well as locations of campgrounds, roads, fires, invasive vegetation treatment areas and other features. Assessment of conditions and trends in the project area entailed: 1) assemblage of existing data on geology, changes in stream flow, and predictions of future conditions; 2) identification of fish and wildlife species present and grouping species into Conservation Elements (CEs) based on habitat needs, and: 3) acquisition, review and creation of spatial datasets characterizing vegetation, fluvial geomorphic and human features within the bottomland. Interpretation of aerial imagery and assimilation of pre-existing spatial data were central to our efforts in characterizing resources conditions. Detailed maps of vegetation and channel habitat features in the project area were generated from true color, high resolution (0.3m) imagery flown September 16, 2010. We also mapped channel habitat features at high flow on 1.0-m resolution, publicly available, true color imagery. We obtained additional layers such as land ownership, roads, fire history, non-native vegetation treatment areas, and recreational use features from public sources and project partners. Habitat suitability models were created for groups of terrestrial species by combining spatial datasets with the habitat needs of conservation elements, guided by literature, where available, and extensive use of expert knowledge. Conservation elements for endangered fish species life stages were identified but not modeled. Terrestrial CE’s included: • Riparian Overstory -yellow-billed cuckoo, Bullock’s oriole, black-headed grosbeak, blue grosbeak, warbling vireo, Cooper's hawk, screech owl, saw-whet owl, and bald eagle, (best: tall trees, dense canopy, diverse shrub understory, no tamarisk); • Riparian Understory - southwestern willow flycatcher, common yellowthroat, yellow warbler, yellow-breasted chat, beaver, northern river otter, black-necked garter snake, (best: dense mesic shrubs near still water, no tamarisk); • Bat Feeding - Allen's big-eared bat, Townsend's big-eared bat, fringed myotis, Yuma myotis, big free-tailed bat, spotted bat (best: diverse vegetation, close to still water); • Bat Watering - big free-tailed and spotted bats (best: still water with no tall vegetation); •</p>","language":"English","publisher":"Colorado Mesa University","usgsCitation":"Christine Rasmussen, and Shafroth, P.B., 2016, Conservation planning for the Colorado River in Utah, 94 p. .","productDescription":"94 p. ","ipdsId":"IP-079063","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":335787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":334302,"type":{"id":15,"text":"Index Page"},"url":"https://www.coloradomesa.edu/water-center/documents/rasmussen_shaftroth_2016_watercenter_cmu.pdf"}],"country":"United States","state":"Utah","otherGeospatial":"Colorado River ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.06677246093749,\n              39.15136267949029\n            ],\n            [\n              -109.3304443359375,\n              38.94659331893374\n            ],\n            [\n              -109.79187011718749,\n              38.49229419236133\n            ],\n            [\n              -110.489501953125,\n              37.913867495923746\n            ],\n            [\n              -110.93994140625,\n              37.37015718405753\n            ],\n            [\n              -110.89599609375,\n              37.17782559332976\n            ],\n            [\n              -110.269775390625,\n              37.735969208590504\n            ],\n            [\n              -109.44580078125,\n              38.453588708941375\n            ],\n            [\n              -109.05029296875,\n              39.11301365149975\n            ],\n            [\n              -109.06677246093749,\n              39.15136267949029\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c833e4b025c464286292","contributors":{"authors":[{"text":"Christine Rasmussen","contributorId":178920,"corporation":false,"usgs":false,"family":"Christine Rasmussen","affiliations":[],"preferred":false,"id":661589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":661588,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187351,"text":"70187351 - 2016 - Geomorphic evolution of the San Luis Basin and Rio Grande in southern Colorado and northern New Mexico","interactions":[],"lastModifiedDate":"2017-05-01T15:05:10","indexId":"70187351","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1724,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic evolution of the San Luis Basin and Rio Grande in southern Colorado and northern New Mexico","docAbstract":"<p><span>The San Luis Basin encompasses the largest structural and hydrologic basin of the Rio Grande rift. On this field trip, we will examine the timing of transition of the San Luis Basin from hydrologically closed, aggrading subbasins to a continuous fluvial system that eroded the basin, formed the Rio Grande gorge, and ultimately, integrated the Rio Grande from Colorado to the Gulf of Mexico. Waning Pleistocene neotectonic activity and onset of major glacial episodes, in particular Marine Isotope Stages 11–2 (~420–14 ka), induced basin fill, spillover, and erosion of the southern San Luis Basin. The combined use of new geologic mapping, fluvial geomorphology, reinterpreted surficial geology of the Taos Plateau, pedogenic relative dating studies, </span><sup>3</sup><span>He surface exposure dating of basalts, and U-series dating of pedogenic carbonate supports a sequence of events wherein pluvial Lake Alamosa in the northern San Luis Basin overflowed, and began to drain to the south across the closed Sunshine Valley–Costilla Plain region ≤400 ka. By ~200 ka, erosion had cut through topographic highs at Ute Mountain and the Red River fault zone, and began deep-canyon incision across the southern San Luis Basin. Previous studies indicate that prior to 200 ka, the present Rio Grande terminated into a large bolson complex in the vicinity of El Paso, Texas, and systematic, headward erosional processes had subtly integrated discontinuously connected basins along the eastern flank of the Rio Grande rift and southern Rocky Mountains. We propose that the integration of the entire San Luis Basin into the Rio Grande drainage system (~400–200 ka) was the critical event in the formation of the modern Rio Grande, integrating hinterland basins of the Rio Grande rift from El Paso, Texas, north to the San Luis Basin with the Gulf of Mexico. This event dramatically affected basins southeast of El Paso, Texas, across the Chisos Mountains and southeastern Basin and Range province, including the Rio Conchos watershed and much of the Chihuahuan Desert, inducing broad regional landscape incision and exhumation.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2016.0044(13)​","usgsCitation":"Ruleman, C.A., Machette, M., Thompson, R.A., Miggins, D.M., Goehring, B.M., and Paces, J.B., 2016, Geomorphic evolution of the San Luis Basin and Rio Grande in southern Colorado and northern New Mexico: GSA Field Guides, v. 44, p. 291-333, https://doi.org/10.1130/2016.0044(13)​.","productDescription":"43 p.","startPage":"291","endPage":"333","ipdsId":"IP-076013","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":" Colorado, New Mexico","otherGeospatial":"Rio Grande, San Luis Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105,\n              36.2\n            ],\n            [\n              -106.5,\n              36.2\n            ],\n            [\n              -106.5,\n              38.5\n            ],\n            [\n              -105,\n              38.5\n            ],\n            [\n              -105,\n              36.2\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084929e4b0fc4e448ffd56","contributors":{"authors":[{"text":"Ruleman, Chester A. 0000-0002-1503-4591 cruleman@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-4591","contributorId":1264,"corporation":false,"usgs":true,"family":"Ruleman","given":"Chester","email":"cruleman@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":693582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Machette, Michael","contributorId":191604,"corporation":false,"usgs":false,"family":"Machette","given":"Michael","affiliations":[],"preferred":false,"id":693584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Ren A. 0000-0002-3044-3043 rathomps@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":1265,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren","email":"rathomps@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miggins, Dan M","contributorId":191605,"corporation":false,"usgs":false,"family":"Miggins","given":"Dan","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":693585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goehring, Brent M","contributorId":191606,"corporation":false,"usgs":false,"family":"Goehring","given":"Brent","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":693586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693587,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189251,"text":"70189251 - 2016 - The Bear River's history and diversion: Constraints, unsolved problems, and implications for the Lake Bonneville record: Chapter 2","interactions":[],"lastModifiedDate":"2017-07-06T15:00:06","indexId":"70189251","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The Bear River's history and diversion: Constraints, unsolved problems, and implications for the Lake Bonneville record: Chapter 2","docAbstract":"<p id=\"sp0040\">The shifting course of the Bear River has influenced the hydrologic balance of the Bonneville basin through time, including the magnitude of Lake Bonneville. This was first recognized by G.K. Gilbert and addressed in the early work of Robert Bright, who focused on the southeastern Idaho region of Gem Valley and Oneida Narrows. In this chapter, we summarize and evaluate existing knowledge from this region, present updated and new chronostratigraphic evidence for the Bear River's drainage history, and discuss implications for the Bonneville record as well as future research needs.</p><p id=\"sp0045\">The Bear River in Plio-Pleistocene time joined the Snake River to the north by following the present-day Portneuf or Blackfoot drainages, with it likely joining the Portneuf River by middle Pleistocene time. An episode of volcanism in the Blackfoot-Gem Valley volcanic field, sparsely dated to ~&nbsp;100–50&nbsp;ka, diverted the Bear River southward from where the Alexander shield volcano obstructed the river's path into Gem Valley. Previous chronostratigraphic and isotopic work on the Main Canyon Formation in southern Gem Valley indicates internal-basin sedimentation during the Quaternary, with a possible brief incursion of the Bear River ~&nbsp;140&nbsp;ka. New evidence confirms that the Bear River's final diversion at 60–50&nbsp;ka led to its integration into the Bonneville basin by spillover at a paleo-divide above present-day Oneida Narrows. This drove rapid incision before the rise of Lake Bonneville into the canyon and southern Gem Valley.</p><p id=\"sp0050\">Bear River diversion at 60–50&nbsp;ka coincides with the end of the Cutler Dam lake cycle, at the onset of marine isotope stage 3. The Bear River subsequently contributed to the rise of Lake Bonneville, the highest pluvial lake known in the basin, culminating in the Bonneville flood. Key research questions include the prior path of the upper Bear River, dating and understanding the complex geologic relations within the Gem Valley-Blackfoot volcanic field, resolving evidence for possible earlier incursions of Bear River water into the Bonneville basin, and interpreting the sedimentology of the Main Canyon Formation.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Developments in earth surface processes","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-63590-7.00002-0","usgsCitation":"Pederson, J.L., Janecke, S.U., Reheis, M.C., Kaufmann, D.S., and Oaks, R.Q., 2016, The Bear River's history and diversion: Constraints, unsolved problems, and implications for the Lake Bonneville record: Chapter 2, chap. <i>of</i> Developments in earth surface processes, v. 20, p. 28-59, https://doi.org/10.1016/B978-0-444-63590-7.00002-0.","productDescription":"32 p.","startPage":"28","endPage":"59","ipdsId":"IP-071182","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":343438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c40e4b0d1f9f057e352","contributors":{"authors":[{"text":"Pederson, Joel L.","contributorId":194326,"corporation":false,"usgs":false,"family":"Pederson","given":"Joel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":703731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janecke, Susanne U.","contributorId":194327,"corporation":false,"usgs":false,"family":"Janecke","given":"Susanne","email":"","middleInitial":"U.","affiliations":[],"preferred":false,"id":703732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reheis, Marith C. 0000-0002-8359-323X mreheis@usgs.gov","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":138571,"corporation":false,"usgs":true,"family":"Reheis","given":"Marith","email":"mreheis@usgs.gov","middleInitial":"C.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":703730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaufmann, Darrell S.","contributorId":194328,"corporation":false,"usgs":false,"family":"Kaufmann","given":"Darrell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":703733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oaks, Robert Q. Jr.","contributorId":194329,"corporation":false,"usgs":false,"family":"Oaks","given":"Robert","suffix":"Jr.","email":"","middleInitial":"Q.","affiliations":[],"preferred":false,"id":703734,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70187350,"text":"70187350 - 2016 - Late quaternary changes in lakes, vegetation, and climate in the Bonneville Basin reconstructed from sediment cores from Great Salt Lake: Chapter 11","interactions":[],"lastModifiedDate":"2017-05-01T14:58:24","indexId":"70187350","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Late quaternary changes in lakes, vegetation, and climate in the Bonneville Basin reconstructed from sediment cores from Great Salt Lake: Chapter 11","docAbstract":"<p id=\"sp0090\">Sediment cores from Great Salt Lake (GSL) provide the basis for reconstructing changes in lakes, vegetation, and climate for the last ~&nbsp;40&nbsp;cal&nbsp;ka. Initially, the coring site was covered by a shallow saline lake and surrounded by <i>Artemisia</i> steppe or steppe-tundra under a cold and dry climate. As Lake Bonneville began to rise (from ~&nbsp;30 to 28&nbsp;cal&nbsp;ka), <i>Pinus</i> and subalpine conifer pollen percentages increased and <i>Artemisia</i> declined, suggesting the onset of wetter conditions. Lake Bonneville oscillated near the Stansbury shoreline between ~&nbsp;26 and ~&nbsp;24&nbsp;cal&nbsp;ka, rose to the Bonneville shoreline by ~&nbsp;18&nbsp;cal&nbsp;ka, and then fell to the Provo shoreline, which it occupied until ~&nbsp;15&nbsp;cal&nbsp;ka. Vegetation changed during this time span, albeit not always with the same direction or amplitude as the lake. The pollen percentages of <i>Pinus</i> and subalpine conifers were high from ~&nbsp;25 to 21.5&nbsp;cal&nbsp;ka, indicating cool and moist conditions during the Stansbury oscillation and for much of the rise toward the Bonneville shoreline. <i>Pinus</i> percentages then decreased and <i>Artemisia</i> became codominant, suggesting drier and perhaps colder conditions from ~&nbsp;21 to ~&nbsp;15&nbsp;cal&nbsp;ka, when Lake Bonneville was at or near its highest levels.</p><p id=\"sp0095\">Lake Bonneville declined to a low level by ~&nbsp;13&nbsp;cal&nbsp;ka, while <i>Pinus</i> pollen percentages increased, indicating that conditions remained cooler and moister than today. During the Younger Dryas interval, the brief Gilbert episode rise in lake level was followed by a shallow lake with a stratified water column. This lake rise occurred as <i>Pinus</i> pollen percentages were declining and those of <i>Artemisia</i> were rising (reflecting increasingly dry conditions), after which <i>Artemisia</i> pollen was at very high levels (suggesting cold and dry conditions) for a brief period.</p><p id=\"sp0100\">Since ~&nbsp;10.6&nbsp;cal&nbsp;ka lacustrine conditions have resembled those of present-day GSL. Pollen spectra for the period from ~&nbsp;10.6 to 7.2&nbsp;cal&nbsp;ka have low levels of conifer pollen and high (for the Holocene) levels of desert and steppe taxa, suggesting generally dry conditions with maximum aridity occurring prior to the deposition of the Mazama tephra (~&nbsp;7.6&nbsp;cal&nbsp;ka). After ~&nbsp;10.6&nbsp;cal&nbsp;ka, <i>Juniperus</i> pollen percentages began to increase and by ~&nbsp;7.2&nbsp;cal&nbsp;ka juniper woodlands were well established on lower mountain slopes. From ~&nbsp;7 to 4&nbsp;cal&nbsp;ka, pollen percentages fluctuated near their mean values for the entire Holocene. The neopluvial (~&nbsp;4 to 2&nbsp;cal&nbsp;ka) was the wettest part of the Holocene, with higher levels of <i>Juniperus</i> pollen and lower levels for steppe and desert taxa than in older Holocene sediments. Pollen percentages for the last ~&nbsp;2&nbsp;cal&nbsp;ka are variable, but generally indicate a return to drier conditions.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Developments in earth surface processes: Lake Bonneville — A scientific update","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-63590-7.00011-1","usgsCitation":"Thompson, R.S., Oviatt, C.G., Honke, J.S., and McGeehin, J., 2016, Late quaternary changes in lakes, vegetation, and climate in the Bonneville Basin reconstructed from sediment cores from Great Salt Lake: Chapter 11, chap. <i>of</i> Developments in earth surface processes: Lake Bonneville — A scientific update, v. 20, p. 221-291, https://doi.org/10.1016/B978-0-444-63590-7.00011-1.","productDescription":"71 p.","startPage":"221","endPage":"291","ipdsId":"IP-070853","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084929e4b0fc4e448ffd58","contributors":{"authors":[{"text":"Thompson, Robert S. 0000-0001-9287-2954 rthompson@usgs.gov","orcid":"https://orcid.org/0000-0001-9287-2954","contributorId":891,"corporation":false,"usgs":true,"family":"Thompson","given":"Robert","email":"rthompson@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oviatt, Charles G.","contributorId":36580,"corporation":false,"usgs":false,"family":"Oviatt","given":"Charles","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":693579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Honke, Jeffrey S. 0000-0003-4357-9297 jhonke@usgs.gov","orcid":"https://orcid.org/0000-0003-4357-9297","contributorId":1616,"corporation":false,"usgs":true,"family":"Honke","given":"Jeffrey","email":"jhonke@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":693580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGeehin, John mcgeehin@usgs.gov","contributorId":167455,"corporation":false,"usgs":true,"family":"McGeehin","given":"John","email":"mcgeehin@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":693581,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187256,"text":"70187256 - 2016 - Louisiana waterthrush and benthic macroinvertebrate response to shale gas development","interactions":[],"lastModifiedDate":"2017-04-27T11:39:11","indexId":"70187256","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Louisiana waterthrush and benthic macroinvertebrate response to shale gas development","docAbstract":"<p><span>Because shale gas development is occurring over large landscapes and consequently is affecting many headwater streams, an understanding of its effects on headwater-stream faunal communities is needed. We examined effects of shale gas development (well pads and associated infrastructure) on Louisiana waterthrush </span><i>Parkesia motacilla</i><span> and benthic macroinvertebrate communities in 12 West Virginia headwater streams in 2011. Streams were classed as impacted (</span><i>n</i><span> = 6) or unimpacted (</span><i>n</i><span> = 6) by shale gas development. We quantified waterthrush demography (nest success, clutch size, number of fledglings, territory density), a waterthrush Habitat Suitability Index, a Rapid Bioassessment Protocol habitat index, and benthic macroinvertebrate metrics including a genus-level stream-quality index for each stream. We compared each benthic metric between impacted and unimpacted streams with a Student's </span><i>t</i><span>-test that incorporated adjustments for normalizing data. Impacted streams had lower genus-level stream-quality index scores; lower overall and Ephemeroptera, Plecoptera, and Trichoptera richness; fewer intolerant taxa, more tolerant taxa, and greater density of 0–3-mm individuals (</span><i>P</i><span> ≤ 0.10). We then used Pearson correlation to relate waterthrush metrics to benthic metrics across the 12 streams. Territory density (no. of territories/km of stream) was greater on streams with higher genus-level stream-quality index scores; greater density of all taxa and Ephemeroptera, Plecoptera, and Trichoptera taxa; and greater biomass. Clutch size was greater on streams with higher genus-level stream-quality index scores. Nest survival analyses (</span><i>n</i><span> = 43 nests) completed with Program MARK suggested minimal influence of benthic metrics compared with nest stage and Habitat Suitability Index score. Although our study spanned only one season, our results suggest that shale gas development affected waterthrush and benthic communities in the headwater streams we studied. Thus, these ecological effects of shale gas development warrant closer examination.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/092015-JFWM-084","usgsCitation":"Wood, P., Frantz, M.W., and Becker, D.A., 2016, Louisiana waterthrush and benthic macroinvertebrate response to shale gas development: Journal of Fish and Wildlife Management, v. 7, no. 2, p. 423-433, https://doi.org/10.3996/092015-JFWM-084.","productDescription":"11 p.","startPage":"423","endPage":"433","ipdsId":"IP-066368","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":490023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/092015-jfwm-084","text":"Publisher Index Page"},{"id":340503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":" Lewis Wetzel Wildlife Management Area","volume":"7","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-01","publicationStatus":"PW","scienceBaseUri":"59030326e4b0e862d230f72b","contributors":{"authors":[{"text":"Wood, Petra pbwood@usgs.gov","contributorId":169812,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":693114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frantz, Mack W.","contributorId":191486,"corporation":false,"usgs":false,"family":"Frantz","given":"Mack","email":"","middleInitial":"W.","affiliations":[{"id":34542,"text":"Department of Biology. Indiana University of Pennsylvania","active":true,"usgs":false},{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":693208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Becker, Douglas A.","contributorId":169852,"corporation":false,"usgs":false,"family":"Becker","given":"Douglas","email":"","middleInitial":"A.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":693209,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}