{"pageNumber":"538","pageRowStart":"13425","pageSize":"25","recordCount":68911,"records":[{"id":70121281,"text":"sir20145163 - 2014 - Assessment of the spatial extent and height of flooding in Lake Champlain during May 2011, using satellite remote sensing and ground-based information","interactions":[],"lastModifiedDate":"2014-10-02T09:02:28","indexId":"sir20145163","displayToPublicDate":"2014-10-02T08:56:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5163","title":"Assessment of the spatial extent and height of flooding in Lake Champlain during May 2011, using satellite remote sensing and ground-based information","docAbstract":"Landsat 5 and moderate resolution imaging spectro-radiometer satellite imagery were used to map the area of inundation of Lake Champlain, which forms part of the border between New York and Vermont, during May 2011. During this month, the lake’s water levels were record high values not observed in the previous 150 years. Lake inundation area determined from the satellite imagery is correlated with lake stage measured at three U.S. Geological Survey lake level gages to provide estimates of lake area at different lake levels (stage/area rating) and also compared with the levels of the high-water marks (HWMs) located on the Vermont side of the lake. The rating developed from the imagery shows a somewhat different relation than a similar stage/area rating developed from a medium-resolution digital elevation model (DEM) of the region. According to the rating derived from the imagery, the lake surface area during the peak lake level increased by about 17 percent above the average or “normal” lake level. By using a comparable rating developed from the DEM, the increase above average is estimated to be about 12 percent. The northern part of the lake (north of Burlington) showed the largest amount of flooding. Based on intersecting the inundation maps with the medium-resolution DEM, lake levels were not uniform around the lake. This is also evident from the lake level gage measurements and HWMs. The gage data indicate differences up to 0.5 feet between the northern and southern end of the lake. Additionally, the gage data show day-to-day and intradaily variation of the same range (0.5 foot). The high-water mark observations show differences up to 2 feet around the lake, with the highest level generally along the south- and west-facing shorelines. The data suggest that during most of May 2011, water levels were slightly higher and less variable in the northern part of the lake. These phenomena may be caused by wind effects as well as proximity to major river inputs to the lake. The inundation areas generated from the imagery generally coincide with flood mapping as estimated by the Federal Emergency Management Agency (FEMA) and shown on its digital flood insurance rate maps. Where areas in the flood inundation map derived from the imagery and the FEMA estimated flooded areas differ substantially, this difference may be due to differences between the flood magnitude at the time of the image and the assumed flood condition used for the FEMA modeling and mapping, wind/storage effects not accounted for by the FEMA modeling, and the resolution of the image compared to the DEM used in the FEMA mapping.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145163","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Bjerklie, D.M., Trombley, T.J., and Olson, S.A., 2014, Assessment of the spatial extent and height of flooding in Lake Champlain during May 2011, using satellite remote sensing and ground-based information: U.S. Geological Survey Scientific Investigations Report 2014-5163, Report: vii, 18 p.; 1 Plate: 24 x 27 inches, https://doi.org/10.3133/sir20145163.","productDescription":"Report: vii, 18 p.; 1 Plate: 24 x 27 inches","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-051120","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":294753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145163.jpg"},{"id":294750,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5163/pdf/sir2014-5163.pdf"},{"id":294751,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5163/"},{"id":294752,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5163/figure/sir2014-5163_fig08.pdf"}],"country":"Canada, United States","otherGeospatial":"Lake Champlain","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e5b06e4b092f17df5a6a5","contributors":{"authors":[{"text":"Bjerklie, David M. 0000-0002-9890-4125 dmbjerkl@usgs.gov","orcid":"https://orcid.org/0000-0002-9890-4125","contributorId":3589,"corporation":false,"usgs":true,"family":"Bjerklie","given":"David","email":"dmbjerkl@usgs.gov","middleInitial":"M.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trombley, Thomas J. trombley@usgs.gov","contributorId":1803,"corporation":false,"usgs":true,"family":"Trombley","given":"Thomas","email":"trombley@usgs.gov","middleInitial":"J.","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olson, Scott A. 0000-0002-1064-2125 solson@usgs.gov","orcid":"https://orcid.org/0000-0002-1064-2125","contributorId":2059,"corporation":false,"usgs":true,"family":"Olson","given":"Scott","email":"solson@usgs.gov","middleInitial":"A.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":498913,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70127472,"text":"ofr20141209 - 2014 - Concentration and flux of total and dissolved phosphorus, total nitrogen, chloride, and total suspended solids for monitored tributaries of Lake Champlain, 1990-2012","interactions":[],"lastModifiedDate":"2014-10-02T08:50:50","indexId":"ofr20141209","displayToPublicDate":"2014-10-02T08:42:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1209","title":"Concentration and flux of total and dissolved phosphorus, total nitrogen, chloride, and total suspended solids for monitored tributaries of Lake Champlain, 1990-2012","docAbstract":"Annual and daily concentrations and fluxes of total and dissolved phosphorus, total nitrogen, chloride, and total suspended solids were estimated for 18 monitored tributaries to Lake Champlain by using the Weighted Regressions on Time, Discharge, and Seasons regression model. Estimates were made for 21 or 23 years, depending on data availability, for the purpose of providing timely and accessible summary reports as stipulated in the 2010 update to the Lake Champlain “Opportunities for Action” management plan. Estimates of concentration and flux were provided for each tributary based on (1) observed daily discharges and (2) a flow-normalizing procedure, which removed the random fluctuations of climate-related variability. The flux bias statistic, an indicator of the ability of the Weighted Regressions on Time, Discharge, and Season regression models to provide accurate representations of flux, showed acceptable bias (less than ±10 percent) for 68 out of 72 models for total and dissolved phosphorus, total nitrogen, and chloride. Six out of 18 models for total suspended solids had moderate bias (between 10 and 30 percent), an expected result given the frequently nonlinear relation between total suspended solids and discharge. One model for total suspended solids with a very high bias was influenced by a single extreme value; however, removal of that value, although reducing the bias substantially, had little effect on annual fluxes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141209","collaboration":"Prepared in cooperation with the Lake Champlain Basin Program and the Vermont Department of Environmental Conservation","usgsCitation":"Medalie, L., 2014, Concentration and flux of total and dissolved phosphorus, total nitrogen, chloride, and total suspended solids for monitored tributaries of Lake Champlain, 1990-2012: U.S. Geological Survey Open-File Report 2014-1209, Report: vi, 21 p.; 6 Appendices, https://doi.org/10.3133/ofr20141209.","productDescription":"Report: vi, 21 p.; 6 Appendices","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-059317","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":294749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141209.jpg"},{"id":294741,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1209/"},{"id":294742,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1209/pdf/ofr2014-1209.pdf"},{"id":294743,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1209/appendix/ofr2014-1209_app1_annual.xlsx"},{"id":294744,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1209/appendix/ofr2014-1209_app2_TP.xlsx"},{"id":294745,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1209/appendix/ofr2014-1209_app3_DP.xlsx"},{"id":294746,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1209/appendix/ofr2014-1209_app4_TN.xlsx"},{"id":294747,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1209/appendix/ofr2014-1209_app5_Cl.xlsx"},{"id":294748,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1209/appendix/ofr2014-1209_app6_TSS.xlsx"}],"scale":"24000","datum":"North American Datum 1983","country":"Canada, United States","otherGeospatial":"Lake Champlain","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e5b07e4b092f17df5a6a7","contributors":{"authors":[{"text":"Medalie, Laura 0000-0002-2440-2149 lmedalie@usgs.gov","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":3657,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","email":"lmedalie@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502337,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70116456,"text":"70116456 - 2014 - SToRM: A Model for Unsteady Surface Hydraulics Over Complex Terrain","interactions":[],"lastModifiedDate":"2015-10-26T11:47:43","indexId":"70116456","displayToPublicDate":"2014-10-02T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"SToRM: A Model for Unsteady Surface Hydraulics Over Complex Terrain","docAbstract":"

A two-dimensional (depth-averaged) finite volume Godunov-type shallow water model developed for flow over complex topography is presented. The model is based on an unstructured cellcentered finite volume formulation and a nonlinear strong stability preserving Runge-Kutta time stepping scheme. The numerical discretization is founded on the classical and well established shallow water equations in hyperbolic conservative form, but the convective fluxes are calculated using auto-switching Riemann and diffusive numerical fluxes. The model’s implementation within a graphical user interface is discussed. Field application of the model is illustrated by utilizing it to estimate peak flow discharges in a flooding event of historic significance in Colorado, U.S.A., in 2013.

","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the 11th International Conference on Hydroscience & Engineering","conferenceTitle":"ICHE 2014","conferenceDate":"Sep. 29–Oct. 2, 2014","conferenceLocation":"Hamburg, Germany","language":"English","usgsCitation":"Simoes, F.J., 2014, SToRM: A Model for Unsteady Surface Hydraulics Over Complex Terrain, in Proceedings of the 11th International Conference on Hydroscience & Engineering, Hamburg, Germany, Sep. 29–Oct. 2, 2014, 8 p.","productDescription":"8 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058093","costCenters":[],"links":[{"id":310638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562f4ebae4b093cee780a2a7","contributors":{"authors":[{"text":"Simoes, Francisco J. 0000-0002-0934-9730 frsimoes@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-9730","contributorId":2019,"corporation":false,"usgs":true,"family":"Simoes","given":"Francisco","email":"frsimoes@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":519044,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70059172,"text":"70059172 - 2014 - Evidence for a marine incursion along the lower Colorado River corridor","interactions":[],"lastModifiedDate":"2014-10-02T08:47:20","indexId":"70059172","displayToPublicDate":"2014-10-01T15:22:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for a marine incursion along the lower Colorado River corridor","docAbstract":"Foraminiferal assemblages in the stratigraphically lower part of the Bouse Formation in the Blythe Basin indicate marine conditions whereas assemblages in the upper part of the Bouse Formation indicate lacustrine conditions and suggest the presence of a saline lake. Benthic foraminiferal assemblages in the lower part of the Bouse Formation are similar to lagoonal and inner neritic biofacies of the modern Gulf of California. Evidence suggesting a change from marine to lacustrine conditions includes the highest occurrence of planktic foraminifers at an elevation of 123 m asl, the change from low diversity to monospecific foraminiferal assemblages composed only of Ammonia beccarii (between 110 to126 m asl), an increase in abundance of A. beccarii specimens (above ~110 m asl), increased number of deformed tests (above ~123 m asl), first appearance of Chara (at ~85 m asl), lowest occurrence of reworked Cretaceous coccoliths (at ~110 m), a decrease in strontium isotopic values (between 70-120 m), and δ18O and δ13C values similar to sea water (between 70-100 m asl). Planktic foraminifers indicate a late Miocene age between 8.10 and 5.3 Ma for the oldest part of the Bouse Formation in the southern part of the Blythe Basin. Benthic and planktic foraminifers correlate with other late Miocene sections and suggest that the basal Bouse Formation in the Blythe Basin was deposited at the northern end of the proto-Gulf of California. After the marine connection was restricted or eliminated, the Colorado River flowed into the Blythe Basin forming a saline lake. This lake supported a monospecific foraminiferal assemblage of A. beccarii until the lake spilled into the Salton Trough and the Colorado River became a through-flowing river.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00975.1","usgsCitation":"McDougall, K., and Martinez, A.Y., 2014, Evidence for a marine incursion along the lower Colorado River corridor: Geosphere, v. 10, no. 5, p. 842-869, https://doi.org/10.1130/GES00975.1.","productDescription":"28 p.","startPage":"842","endPage":"869","numberOfPages":"28","ipdsId":"IP-053075","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":472707,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00975.1","text":"Publisher Index Page"},{"id":294739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294738,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00975.1"}],"country":"United States","state":"California","otherGeospatial":"Blythe Basin","volume":"10","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542d098ee4b092f17defc526","contributors":{"authors":[{"text":"McDougall, Kristin","contributorId":84673,"corporation":false,"usgs":true,"family":"McDougall","given":"Kristin","affiliations":[],"preferred":false,"id":487512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martinez, Adriana Yanet Miranda","contributorId":73126,"corporation":false,"usgs":true,"family":"Martinez","given":"Adriana","email":"","middleInitial":"Yanet Miranda","affiliations":[],"preferred":false,"id":487511,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70117442,"text":"70117442 - 2014 - Development of a shared vision for groundwater management to protect and sustain baseflows of the Upper San Pedro River, Arizona, USA","interactions":[],"lastModifiedDate":"2014-10-01T14:19:39","indexId":"70117442","displayToPublicDate":"2014-10-01T14:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Development of a shared vision for groundwater management to protect and sustain baseflows of the Upper San Pedro River, Arizona, USA","docAbstract":"Groundwater pumping along portions of the binational San Pedro River has depleted aquifer storage that supports baseflow in the San Pedro River. A consortium of 23 agencies, business interests, and non-governmental organizations pooled their collective resources to develop the scientific understanding and technical tools required to optimize the management of this complex, interconnected groundwater-surface water system. A paradigm shift occurred as stakeholders first collaboratively developed, and then later applied, several key hydrologic simulation and monitoring tools. Water resources planning and management transitioned from a traditional water budget-based approach to a more strategic and spatially-explicit optimization process. After groundwater modeling results suggested that strategic near-stream recharge could reasonably sustain baseflows at or above 2003 levels until the year 2100, even in the presence of continued groundwater development, a group of collaborators worked for four years to acquire 2250 hectares of land in key locations along 34 kilometers of the river specifically for this purpose. These actions reflect an evolved common vision that considers the multiple water demands of both humans and the riparian ecosystem associated with the San Pedro River.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3390/w6082519","usgsCitation":"Richter, H., Gungle, B., Lacher, L.J., Turner, D., and Bushman, B., 2014, Development of a shared vision for groundwater management to protect and sustain baseflows of the Upper San Pedro River, Arizona, USA: Water, v. 6, no. 8, p. 2519-2538, https://doi.org/10.3390/w6082519.","productDescription":"20 p.","startPage":"2519","endPage":"2538","ipdsId":"IP-058279","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":472709,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w6082519","text":"Publisher Index Page"},{"id":294727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294726,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/w6082519"}],"country":"United States","state":"Arizona","otherGeospatial":"San Pedro River","volume":"6","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-08-21","publicationStatus":"PW","scienceBaseUri":"542d098ae4b092f17defc4da","contributors":{"authors":[{"text":"Richter, Holly E.","contributorId":26238,"corporation":false,"usgs":true,"family":"Richter","given":"Holly E.","affiliations":[],"preferred":false,"id":495989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gungle, Bruce 0000-0001-6406-1206 bgungle@usgs.gov","orcid":"https://orcid.org/0000-0001-6406-1206","contributorId":107628,"corporation":false,"usgs":true,"family":"Gungle","given":"Bruce","email":"bgungle@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":495992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lacher, Laurel J.","contributorId":81426,"corporation":false,"usgs":true,"family":"Lacher","given":"Laurel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":495991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Dale S.","contributorId":63742,"corporation":false,"usgs":true,"family":"Turner","given":"Dale S.","affiliations":[],"preferred":false,"id":495990,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bushman, Brooke M.","contributorId":22706,"corporation":false,"usgs":true,"family":"Bushman","given":"Brooke M.","affiliations":[],"preferred":false,"id":495988,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70154773,"text":"70154773 - 2014 - Investigations of novel unsaturated bile salts of male sea lamprey as potential chemical cues","interactions":[],"lastModifiedDate":"2015-07-06T12:45:12","indexId":"70154773","displayToPublicDate":"2014-10-01T13:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2205,"text":"Journal of Chemical Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Investigations of novel unsaturated bile salts of male sea lamprey as potential chemical cues","docAbstract":"

Sulfated bile salts function as chemical cues that coordinate reproduction in sea lamprey, Petromyzon marinus. 7α, 12α, 24-trihydroxy-5α-cholan-3-one 24-sulfate (3kPZS) is the most abundant known bile salt released by sexually mature male sea lampreys and attracts ovulated females. However, previous studies showed that the male-produced pheromone consists of unidentified components in addition to 3kPZS. Here, analysis of water conditioned with mature male sea lampreys indicated the presence of 4 oxidized, unsaturated compounds with molecular weights of 466 Da, 468 Da, and 2 of 470 Da. These compounds were not detectable in water conditioned with immature male sea lampreys. By using mass spectrometry, 4 A-ring unsaturated sulfated bile salts were tentatively identified from male washings as 2 4-ene, a 1-ene, and a 1,4-diene analogs. These were synthesized to determine if they attracted ovulated female sea lampreys to spawning nests in natural streams. One of the novel synthetic bile salts, 3 keto-1-ene PZS, attracted ovulated females to the point of application at a concentration of 10-12 M. This study reveals the structural diversity of bile salts in sea lamprey, some of which have been demonstrated to be pheromonal cues.

","language":"English","publisher":"Kluwer Academic","publisherLocation":"New York, NY","doi":"10.1007/s10886-014-0511-4","usgsCitation":"Johnson, N., Yun, S., and Li, W., 2014, Investigations of novel unsaturated bile salts of male sea lamprey as potential chemical cues: Journal of Chemical Ecology, v. 40, no. 10, p. 1152-1160, https://doi.org/10.1007/s10886-014-0511-4.","productDescription":"10 p.","startPage":"1152","endPage":"1160","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057156","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":305583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"10","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-30","publicationStatus":"PW","scienceBaseUri":"559ba6afe4b0b94a640170cc","contributors":{"authors":[{"text":"Johnson, Nicholas S. njohnson@usgs.gov","contributorId":145449,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":564087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yun, Sang-Seon","contributorId":145455,"corporation":false,"usgs":false,"family":"Yun","given":"Sang-Seon","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":564088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Weiming","contributorId":65440,"corporation":false,"usgs":true,"family":"Li","given":"Weiming","affiliations":[],"preferred":false,"id":564089,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70117418,"text":"70117418 - 2014 - Developing and testing temperature models for regulated systems: a case study on the Upper Delaware River","interactions":[],"lastModifiedDate":"2017-07-21T14:52:40","indexId":"70117418","displayToPublicDate":"2014-10-01T13:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Developing and testing temperature models for regulated systems: a case study on the Upper Delaware River","docAbstract":"Water temperature is an important driver of many processes in riverine ecosystems. If reservoirs are present, their releases can greatly influence downstream water temperatures. Models are important tools in understanding the influence these releases may have on the thermal regimes of downstream rivers. In this study, we developed and tested a suite of models to predict river temperature at a location downstream of two reservoirs in the Upper Delaware River (USA), a section of river that is managed to support a world-class coldwater fishery. Three empirical models were tested, including a Generalized Least Squares Model with a cosine trend (GLScos), AutoRegressive Integrated Moving Average (ARIMA), and Artificial Neural Network (ANN). We also tested one mechanistic Heat Flux Model (HFM) that was based on energy gain and loss. Predictor variables used in model development included climate data (e.g., solar radiation, wind speed, etc.) collected from a nearby weather station and temperature and hydrologic data from upstream U.S. Geological Survey gages. Models were developed with a training dataset that consisted of data from 2008 to 2011; they were then independently validated with a test dataset from 2012. Model accuracy was evaluated using root mean square error (RMSE), Nash Sutcliffe efficiency (NSE), percent bias (PBIAS), and index of agreement (d) statistics. Model forecast success was evaluated using baseline-modified prime index of agreement (md) at the one, three, and five day predictions. All five models accurately predicted daily mean river temperature across the entire training dataset (RMSE = 0.58–1.311, NSE = 0.99–0.97, d = 0.98–0.99); ARIMA was most accurate (RMSE = 0.57, NSE = 0.99), but each model, other than ARIMA, showed short periods of under- or over-predicting observed warmer temperatures. For the training dataset, all models besides ARIMA had overestimation bias (PBIAS = −0.10 to −1.30). Validation analyses showed all models performed well; the HFM model was the most accurate compared other models (RMSE = 0.92, both NSE = 0.98, d = 0.99) and the ARIMA model was least accurate (RMSE = 2.06, NSE = 0.92, d = 0.98); however, all models had an overestimation bias (PBIAS = −4.1 to −10.20). Aside from the one day forecast ARIMA model (md = 0.53), all models forecasted fairly well at the one, three, and five day forecasts (md = 0.77–0.96). Overall, we were successful in developing models predicting daily mean temperature across a broad range of temperatures. These models, specifically the GLScos, ANN, and HFM, may serve as important tools for predicting conditions and managing thermal releases in regulated river systems such as the Delaware River. Further model development may be important in customizing predictions for particular biological or ecological needs, or for particular temporal or spatial scales.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.07.058","usgsCitation":"Cole, J.C., Maloney, K.O., Schmid, M., and McKenna, J., 2014, Developing and testing temperature models for regulated systems: a case study on the Upper Delaware River: Journal of Hydrology, v. 519, no. Part A, p. 588-598, https://doi.org/10.1016/j.jhydrol.2014.07.058.","productDescription":"11 p.","startPage":"588","endPage":"598","ipdsId":"IP-054405","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":294719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294718,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2014.07.058"}],"country":"United States","state":"Delaware, New York, Pennsylvania","otherGeospatial":"Delaware River","volume":"519","issue":"Part A","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542d0989e4b092f17defc4d3","contributors":{"authors":[{"text":"Cole, Jeffrey C. 0000-0002-2477-7231 jccole@usgs.gov","orcid":"https://orcid.org/0000-0002-2477-7231","contributorId":5585,"corporation":false,"usgs":true,"family":"Cole","given":"Jeffrey","email":"jccole@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":495984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":495983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmid, Matthias","contributorId":53714,"corporation":false,"usgs":true,"family":"Schmid","given":"Matthias","affiliations":[],"preferred":false,"id":495986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKenna, James E. Jr.","contributorId":38486,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","affiliations":[],"preferred":false,"id":495985,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70044613,"text":"70044613 - 2014 - Carbonate margin, slope, and basin facies of the Lisburne Group (Carboniferous-Permian) in northern Alaska","interactions":[],"lastModifiedDate":"2018-10-25T16:44:25","indexId":"70044613","displayToPublicDate":"2014-10-01T13:34:57","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Carbonate margin, slope, and basin facies of the Lisburne Group (Carboniferous-Permian) in northern Alaska","docAbstract":"

The Lisburne Group (Carboniferous-Permian) consists of a carbonate platform that extends for >1000 km across northern Alaska, and diverse margin, slope, and basin facies that contain world-class deposits of Zn and Ba, notable phosphorites, and petroleum source rocks. Lithologic, paleontologic, isotopic, geochemical, and seismic data gathered from outcrop and subsurface studies during the past 20 years allow us to delineate the distribution, composition, and age of the off-platform facies, and to better understand the physical and chemical conditions under which they formed.

The southern edge of the Lisburne platform changed from a gently sloping, homoclinal ramp in the east to a tectonically complex, distally steepened margin in the west that was partly bisected by the extensional Kuna Basin (~200 by 600 km). Carbonate turbidites, black mudrocks, and radiolarian chert accumulated in this basin; turbidites were generated mainly during times of eustatic rise in the late Early and middle Late Mississippian. Interbedded black mudrocks (up to 20 wt% total organic carbon), granular and nodular phosphorite (up to 37 wt% P2O5), and fine-grained limestone rich in radiolarians and sponge spicules formed along basin margins during the middle Late Mississippian in response to a nutrient-rich, upwelling regime.

Detrital zircons from a turbidite sample in the western Kuna Basin have mainly Neoproterozoic through early Paleozoic U-Pb ages (~900-400 Ma), with subordinate populations of Mesoproterozoic and late Paleoproterozoic grains. This age distribution is similar to that found in slightly older rocks along the northern and western margins of the basin. It also resembles age distributions reported from Carboniferous and older strata elsewhere in northwestern Alaska and on Wrangel Island.

Geochemical and isotopic data indicate that suboxic, denitrifying conditions prevailed in the Kuna Basin and along its margins. High V/Mo, Cr/Mo, and Re/Mo ratios (all marine fractions [MF]) and low MnO contents (<0.01 wt%) characterize Lisburne black mudrocks. Low Qmf/Vmf ratios (mostly 0.8-4.0) suggest moderately to strongly denitrifying conditions in suboxic bottom waters during siliciclastic and phosphorite sedimentation. Elevated to high Mo contents (31-135 ppm) in some samples are consistent with seasonal to intermittent sulfidic conditions in bottom waters, developed mainly along the basin margin. High d15N values (6-120) imply that the waters supplying nutrients to primary producers in the photic zone had a history of denitrification either in the water column or in underlying sediments.

Demise of the Lisburne platform was diachronous and reflects tectonic, eustatic, and environmental drivers. Southwestern, south-central, and northwestern parts of the platform drowned during the Late Mississippian, coincident with Zn and Ba metallogenesis within the Kuna Basin and phosphogenesis along basin margins. This drowning was temporary (except in the southwest) and likely due to eutrophication associated with upwelling and sea-level rise enhanced by regional extension, which allowed suboxic, denitrifying waters to form on platform margins. Final drowning in the southcentral area occurred in the Early Pennsylvanian and also may have been linked to regional extension. In the northwest, platform sedimentation persisted into the Permian; its demise there appears to have been due to increased siliciclastic input. Climatic cooling may have produced additional stress on parts of the Lisburne platform biota during Pennsylvanian and Permian times.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Deposits, architecture, and controls of carbonate margin, slope and basinal settings","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"SEPM Society for Sedimentary Geology","doi":"10.2110/sepmsp.105.02","usgsCitation":"Dumoulin, J.A., Johnson, C.A., Slack, J.F., Bird, K.J., Whalen, M.T., Moore, T.E., Harris, A.G., and O’Sullivan, P.B., 2014, Carbonate margin, slope, and basin facies of the Lisburne Group (Carboniferous-Permian) in northern Alaska, chap. of Deposits, architecture, and controls of carbonate margin, slope and basinal settings, v. 105, p. 211-236, https://doi.org/10.2110/sepmsp.105.02.","productDescription":"26 p.","startPage":"211","endPage":"236","ipdsId":"IP-042035","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":358836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"105","noUsgsAuthors":false,"publicationDate":"2014-09-01","publicationStatus":"PW","scienceBaseUri":"5c10b533e4b034bf6a7eb431","contributors":{"editors":[{"text":"Verwer, Klaas","contributorId":210099,"corporation":false,"usgs":false,"family":"Verwer","given":"Klaas","email":"","affiliations":[],"preferred":false,"id":749826,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Playton, Ted E.","contributorId":210100,"corporation":false,"usgs":false,"family":"Playton","given":"Ted","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":749827,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Harris, Paul M.","contributorId":210101,"corporation":false,"usgs":false,"family":"Harris","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":749828,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":749801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":749802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":749803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bird, Kenneth J. kbird@usgs.gov","contributorId":1015,"corporation":false,"usgs":true,"family":"Bird","given":"Kenneth","email":"kbird@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":749804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whalen, Michael T.","contributorId":31852,"corporation":false,"usgs":true,"family":"Whalen","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":749805,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":127538,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":749806,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harris, Anita G.","contributorId":50162,"corporation":false,"usgs":true,"family":"Harris","given":"Anita","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":749807,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"O’Sullivan, Paul B.","contributorId":193544,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":749808,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70126983,"text":"fs20143100 - 2014 - Effects of wastewater effluent discharge on stream quality in Indian Creek, Johnson County, Kansas","interactions":[],"lastModifiedDate":"2014-10-01T12:51:12","indexId":"fs20143100","displayToPublicDate":"2014-10-01T12:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3100","title":"Effects of wastewater effluent discharge on stream quality in Indian Creek, Johnson County, Kansas","docAbstract":"Contaminants from point and other urban sources affect stream quality in Indian Creek, which is one of the most urban drainage basins in Johnson County, Kansas. The Johnson County Douglas L. Smith Middle Basin and Tomahawk Creek Wastewater Treatment Facilities discharge to Indian Creek. Data collected by the U.S. Geological Survey, in cooperation with Johnson County Wastewater, during June 2004 through June 2013 were used to evaluate stream quality in Indian Creek. This fact sheet summarizes the effects of wastewater effluent discharge on physical, chemical, and biological conditions in Indian Creek downstream from the Douglas L. Smith Middle Basin and Tomahawk Creek Wastewater Treatment Facilities.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143100","collaboration":"Prepared in cooperation with Johnson County Wastewater.","usgsCitation":"Graham, J.L., and Foster, G., 2014, Effects of wastewater effluent discharge on stream quality in Indian Creek, Johnson County, Kansas: U.S. Geological Survey Fact Sheet 2014-3100, 4 p., https://doi.org/10.3133/fs20143100.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-056975","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":294716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143100.jpg"},{"id":294715,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3100/pdf/fs2014-3100.pdf"},{"id":294706,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3100/"}],"country":"United States","state":"Kansas","county":"Johnson County","otherGeospatial":"Indian Creek","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542d098ce4b092f17defc4ff","contributors":{"authors":[{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster, Guy M. gfoster@usgs.gov","contributorId":3437,"corporation":false,"usgs":true,"family":"Foster","given":"Guy M.","email":"gfoster@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":502242,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70126467,"text":"sir20145187 - 2014 - Effects of wastewater effluent discharge and treatment facility upgrades on environmental and biological conditions of Indian Creek, Johnson County, Kansas, June 2004 through June 2013","interactions":[],"lastModifiedDate":"2014-10-02T09:13:59","indexId":"sir20145187","displayToPublicDate":"2014-10-01T12:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5187","title":"Effects of wastewater effluent discharge and treatment facility upgrades on environmental and biological conditions of Indian Creek, Johnson County, Kansas, June 2004 through June 2013","docAbstract":"

Indian Creek is one of the most urban drainage basins in Johnson County, Kansas, and environmental and biological conditions of the creek are affected by contaminants from point and other urban sources. The Johnson County Douglas L. Smith Middle Basin (hereafter referred to as the “Middle Basin”) and Tomahawk Creek Wastewater Treatment Facilities (WWTFs) discharge to Indian Creek. In summer 2010, upgrades were completed to increase capacity and include biological nutrient removal at the Middle Basin facility. There have been no recent infrastructure changes at the Tomahawk Creek facility; however, during 2009, chemically enhanced primary treatment was added to the treatment process for better process settling before disinfection and discharge with the added effect of enhanced phosphorus removal. The U.S. Geological Survey, in cooperation with Johnson County Wastewater, assessed the effects of wastewater effluent on environmental and biological conditions of Indian Creek by comparing two upstream sites to four sites located downstream from the WWTFs using data collected during June 2004 through June 2013. Environmental conditions were evaluated using previously and newly collected discrete and continuous data and were compared with an assessment of biological community composition and ecosystem function along the upstream-downstream gradient. This study improves the understanding of the effects of wastewater effluent on stream-water and streambed sediment quality, biological community composition, and ecosystem function in urban areas.

\n
\n

After the addition of biological nutrient removal to the Middle Basin WWTF in 2010, annual mean total nitrogen concentrations in effluent decreased by 46 percent, but still exceeded the National Pollutant Discharge Elimination System (NPDES) wastewater effluent permit concentration goal of 8.0 milligrams per liter (mg/L); however, the NPDES wastewater effluent permit total phosphorus concentration goal of 1.5 mg/L or less was achieved at the Middle Basin WWTF. At the Tomahawk Creek WWTF, after the addition of chemically enhanced primary treatment in 2009, effluent discharges also had total phosphorus concentrations below 1.5 mg/L. After the addition of biological nutrient removal, annual total nitrogen and phosphorus loads from the Middle Basin WWTF decreased by 42 and 54 percent, respectively, even though effluent volume increased by 11 percent. Annual total phosphorus loads from the Tomahawk Creek WWTF after the addition of chemically enhanced primary treatment decreased by 54 percent despite a 33-percent increase in effluent volume.

\n
\n

Total nitrogen and phosphorus from the WWTFs contributed between 30 and nearly 100 percent to annual nutrient loads in Indian Creek depending on streamflow conditions. In-stream total nitrogen primarily came from wastewater effluent except during years with the highest streamflows. Most of the in-stream total phosphorus typically came from effluent during dry years and from other urban sources during wet years. During 2010 through 2013, annual mean discharge from the Middle Basin WWTF was about 75 percent of permitted design capacity. Annual nutrient loads likely will increase when the facility is operated at permitted design capacity; however, estimated maximum annual nutrient loads from the Middle Basin WWTF were 27 to 38 percent lower than before capacity upgrades and the addition of biological nutrient removal to treatment processes. Thus, the addition of biological nutrient removal to the Middle Basin wastewater treatment process should reduce overall nutrient loads from the facility even when the facility is operated at permitted design capacity.

\n
\n

The effects of wastewater effluent on the water quality of Indian Creek were most evident during below-normal and normal streamflows (about 75 percent of the time) when wastewater effluent represented about 24 percent or more of total streamflow. Wastewater effluent had the most substantial effect on nutrient concentrations in Indian Creek. Total and inorganic nutrient concentrations at the downstream sites during below-normal and normal streamflows were 10 to 100 times higher than at the upstream sites, even after changes in treatment practices at the WWTFs. Median total phosphorus concentrations during below-normal and normal streamflows at a downstream site were 43 percent lower following improvements in wastewater treatment processes. Similar decreases in total nitrogen were not observed, likely because total nitrogen concentrations only decreased in Middle Basin effluent and wastewater contributed a higher percentage to streamflows when nutrient samples were collected during the after-upgrade period.

\n
\n

The wastewater effluent discharges to Indian Creek caused changes in stream-water quality that may affect biological community structure and ecosystem processes, including higher concentrations of bioavailable nutrients (nitrate and orthophosphorus) and warmer water temperatures during winter months. Other urban sources of contaminants also caused changes in stream-water quality that may affect biological community structure and ecosystem processes, including higher turbidities downstream from construction areas and higher specific conductance and chloride concentrations during winter months. Chloride concentrations exceeded acute and chronic exposure criteria at all Indian Creek study sites, regardless of wastewater influence, for weeks or months during winter. Streambed sediment chemistry was affected by wastewater (elevated nutrient and organic wastewater-indicator compound concentrations) and other contaminants from urban sources (elevated polyaromatic hydrocarbon concentrations). Overall habitat conditions were suboptimal or marginal at all sites; general decline in habitat conditions along the upstream-downstream gradient likely was caused by the cumulative effects of urbanization with increasing drainage basin size.

\n
\n

Wastewater effluent likely affected algal periphyton biomass and community composition, primary production, and community respiration in Indian Creek. Functional stream health, evaluated using a preliminary framework based on primary production and community respiration, was mildly or severely impaired at most downstream sites relative to an urban upstream Indian Creek site. The mechanistic cause of the changes in these biological variables are unclear, though elevated nutrient concentrations were positively correlated with algal biomass, primary production, and community respiration. Macroinvertebrate communities indicated impairment at all sites, and Kansas Department of Health and Environment aquatic life support scores indicated conditions nonsupporting of aquatic life, regardless of wastewater influences. Urban influences, other than wastewater effluent discharge, likely control macroinvertebrate community structure in Indian Creek.

\n
\n

Changes in treatment processes at the Middle Basin and Tomahawk Creek WWTFs improved wastewater effluent quality and decreased nutrient loads, but wastewater effluent discharges still had negative effects on the environmental and biological conditions at downstream Indian Creek sites. Wastewater effluent discharge into Indian Creek likely contributed to changes in measures of ecosystem structure (streamflow, water and streambed-sediment chemistry, algal biomass, and algal periphyton community composition) and function (primary production and community respiration) along the upstream-downstream gradient. Wastewater effluent discharges maintained streamflows and increased nutrient concentrations, algal biomass, primary production, and community respiration at the downstream sites. Functional stream health was severely impaired downstream from the Middle Basin WWTF and mildly impaired downstream from the Tomahawk WWTF relative to the urban upstream site. As distance from the Middle Basin WWTF increased, nutrient concentrations, algal biomass, primary production, and community respiration decreased, and functional stream health was no longer impaired 9.5 kilometers downstream from the discharge relative to the urban upstream site. Therefore, although wastewater effluent caused persistent changes in environmental and biological conditions and functional stream health at sites located immediately downstream from WWTF effluent discharges, some recovery to conditions more similar to the urban upstream site occurred within a relatively short distance.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145187","collaboration":"Prepared in cooperation with Johnson County Wastewater","usgsCitation":"Graham, J.L., Stone, M.L., Rasmussen, T.J., Foster, G., Poulton, B.C., Paxson, C.R., and Harris, T.D., 2014, Effects of wastewater effluent discharge and treatment facility upgrades on environmental and biological conditions of Indian Creek, Johnson County, Kansas, June 2004 through June 2013: U.S. Geological Survey Scientific Investigations Report 2014-5187, Report: x, 78 p.; Appendix, https://doi.org/10.3133/sir20145187.","productDescription":"Report: x, 78 p.; Appendix","numberOfPages":"92","additionalOnlineFiles":"Y","temporalStart":"2004-06-01","temporalEnd":"2013-06-30","ipdsId":"IP-056292","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":294714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145187.jpg"},{"id":294713,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5187/pdf/sir2014-5187.pdf"},{"id":294712,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5187/downloads/sir2014-5187_appendixes.xlsx"},{"id":294705,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5187/"}],"country":"United States","state":"Kansas","county":"Johnson County","otherGeospatial":"Indian Creek","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542d098ce4b092f17defc4f6","contributors":{"authors":[{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Mandy L. 0000-0002-6711-1536 mstone@usgs.gov","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":4409,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"mstone@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":502075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rasmussen, Teresa J. 0000-0002-7023-3868 rasmuss@usgs.gov","orcid":"https://orcid.org/0000-0002-7023-3868","contributorId":3336,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Teresa","email":"rasmuss@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":502072,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Guy M. gfoster@usgs.gov","contributorId":3437,"corporation":false,"usgs":true,"family":"Foster","given":"Guy M.","email":"gfoster@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":502073,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poulton, Barry C. 0000-0002-7219-4911 bpoulton@usgs.gov","orcid":"https://orcid.org/0000-0002-7219-4911","contributorId":2421,"corporation":false,"usgs":true,"family":"Poulton","given":"Barry","email":"bpoulton@usgs.gov","middleInitial":"C.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":502071,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paxson, Chelsea R. cpaxson@usgs.gov","contributorId":5887,"corporation":false,"usgs":true,"family":"Paxson","given":"Chelsea","email":"cpaxson@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":502076,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harris, Theodore D. 0000-0003-0944-8007 tdharris@usgs.gov","orcid":"https://orcid.org/0000-0003-0944-8007","contributorId":4040,"corporation":false,"usgs":true,"family":"Harris","given":"Theodore","email":"tdharris@usgs.gov","middleInitial":"D.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":502074,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70111059,"text":"70111059 - 2014 - Dynamics of the Yellowstone hydrothermal system","interactions":[],"lastModifiedDate":"2019-03-11T08:19:17","indexId":"70111059","displayToPublicDate":"2014-10-01T11:59:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Dynamics of the Yellowstone hydrothermal system","docAbstract":"The Yellowstone Plateau Volcanic Field is characterized by extensive seismicity, episodes of uplift and subsidence, and a hydrothermal system that comprises more than 10,000 thermal features, including geysers, fumaroles, mud pots, thermal springs, and hydrothermal explosion craters. The diverse chemical and isotopic compositions of waters and gases derive from mantle, crustal, and meteoric sources and extensive water-gas-rock interaction at variable pressures and temperatures. The thermal features are host to all domains of life that utilize diverse inorganic sources of energy for metabolism. The unique and exceptional features of the hydrothermal system have attracted numerous researchers to Yellowstone beginning with the Washburn and Hayden expeditions in the 1870s. Since a seminal review published a quarter of a century ago, research in many fields has greatly advanced our understanding of the many coupled processes operating in and on the hydrothermal system. Specific advances include more refined geophysical images of the magmatic system, better constraints on the time scale of magmatic processes, characterization of fluid sources and water-rock interactions, quantitative estimates of heat and magmatic volatile fluxes, discovering and quantifying the role of thermophile microorganisms in the geochemical cycle, defining the chronology of hydrothermal explosions and their relation to glacial cycles, defining possible links between hydrothermal activity, deformation, and seismicity; quantifying geyser dynamics; and the discovery of extensive hydrothermal activity in Yellowstone Lake. Discussion of these many advances forms the basis of this review.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Reviews of Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014RG000452","usgsCitation":"Hurwitz, S., and Lowenstern, J.B., 2014, Dynamics of the Yellowstone hydrothermal system: Reviews of Geophysics, v. 52, no. 3, p. 375-411, https://doi.org/10.1002/2014RG000452.","productDescription":"37 p.","startPage":"375","endPage":"411","numberOfPages":"37","ipdsId":"IP-057230","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":472710,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014rg000452","text":"Publisher Index Page"},{"id":294733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.0498046875,\n 44.44750680513074\n ],\n [\n -110.3082275390625,\n 44.44750680513074\n ],\n [\n -110.3082275390625,\n 44.99394031891056\n ],\n [\n -111.0498046875,\n 44.99394031891056\n ],\n [\n -111.0498046875,\n 44.44750680513074\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-08-11","publicationStatus":"PW","scienceBaseUri":"542d098ce4b092f17defc4eb","contributors":{"authors":[{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":494212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":494213,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70133241,"text":"70133241 - 2014 - The atmosphere can be a source of certain water soluble volatile organic compounds in urban streams","interactions":[],"lastModifiedDate":"2017-10-12T20:09:56","indexId":"70133241","displayToPublicDate":"2014-10-01T10:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"The atmosphere can be a source of certain water soluble volatile organic compounds in urban streams","docAbstract":"

Surface water and air volatile organic compound (VOC) data from 10 U.S. Geological Survey monitoring sites were used to evaluate the potential for direct transport of VOCs from the atmosphere to urban streams. Analytical results of 87 VOC compounds were screened by evaluating the occurrence and detection levels in both water and air, and equilibrium concentrations in water (Cws) based on the measured air concentrations. Four compounds (acetone, methyl tertiary butyl ether, toluene, and m- & p-xylene) were detected in more than 20% of water samples, in more than 10% of air samples, and more than 10% of detections in air were greater than long-term method detection levels (LTMDL) in water. Benzene was detected in more than 20% of water samples and in more than 10% of air samples. Two percent of benzene detections in air were greater than one-half the LTMDL in water. Six compounds (chloroform, p-isopropyltoluene, methylene chloride, perchloroethene, 1,1,1-trichloroethane, and trichloroethene) were detected in more than 20% of water samples and in more than 10% of air samples. Five VOCs, toluene, m- & p-xylene, methyl tert-butyl ether (MTBE), acetone, and benzene were identified as having sufficiently high concentrations in the atmosphere to be a source to urban streams. MTBE, acetone, and benzene exhibited behavior that was consistent with equilibrium concentrations in the atmosphere.

","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/jawr.12181","usgsCitation":"Kenner, S.J., Bender, D.A., Zogorski, J.S., James F. Pankow, and James F. Pankow, 2014, The atmosphere can be a source of certain water soluble volatile organic compounds in urban streams: Journal of the American Water Resources Association, v. 50, no. 5, p. 1124-1137, https://doi.org/10.1111/jawr.12181.","productDescription":"14 p.","startPage":"1124","endPage":"1137","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-009189","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":488437,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pdxscholar.library.pdx.edu/chem_fac/94","text":"External Repository"},{"id":296053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-04-25","publicationStatus":"PW","scienceBaseUri":"5465d63ee4b04d4b7dbd66b7","contributors":{"authors":[{"text":"Kenner, Scott J.","contributorId":6472,"corporation":false,"usgs":true,"family":"Kenner","given":"Scott","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":524956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bender, David A. 0000-0002-1269-0948 dabender@usgs.gov","orcid":"https://orcid.org/0000-0002-1269-0948","contributorId":985,"corporation":false,"usgs":true,"family":"Bender","given":"David","email":"dabender@usgs.gov","middleInitial":"A.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":524957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zogorski, John S. jszogors@usgs.gov","contributorId":189,"corporation":false,"usgs":true,"family":"Zogorski","given":"John","email":"jszogors@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":524958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"James F. Pankow","contributorId":128061,"corporation":true,"usgs":false,"organization":"James F. Pankow","id":535678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"James F. Pankow","contributorId":127384,"corporation":false,"usgs":false,"family":"James F. Pankow","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":524959,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70127669,"text":"70127669 - 2014 - Temperature drives global patterns in forest biomass distribution in leaves, stems, and roots","interactions":[],"lastModifiedDate":"2017-06-29T12:27:59","indexId":"70127669","displayToPublicDate":"2014-10-01T10:42:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Temperature drives global patterns in forest biomass distribution in leaves, stems, and roots","docAbstract":"Whether the fraction of total forest biomass distributed in roots, stems, or leaves varies systematically across geographic gradients remains unknown despite its importance for understanding forest ecology and modeling global carbon cycles. It has been hypothesized that plants should maintain proportionally more biomass in the organ that acquires the most limiting resource. Accordingly, we hypothesize greater biomass distribution in roots and less in stems and foliage in increasingly arid climates and in colder environments at high latitudes. Such a strategy would increase uptake of soil water in dry conditions and of soil nutrients in cold soils, where they are at low supply and are less mobile. We use a large global biomass dataset (>6,200 forests from 61 countries, across a 40 °C gradient in mean annual temperature) to address these questions. Climate metrics involving temperature were better predictors of biomass partitioning than those involving moisture availability, because, surprisingly, fractional distribution of biomass to roots or foliage was unrelated to aridity. In contrast, in increasingly cold climates, the proportion of total forest biomass in roots was greater and in foliage was smaller for both angiosperm and gymnosperm forests. These findings support hypotheses about adaptive strategies of forest trees to temperature and provide biogeographically explicit relationships to improve ecosystem and earth system models. They also will allow, for the first time to our knowledge, representations of root carbon pools that consider biogeographic differences, which are useful for quantifying whole-ecosystem carbon stocks and cycles and for assessing the impact of climate change on forest carbon dynamics.","language":"English","publisher":"National Academy of Sciences of the United Sates of America","doi":"10.1073/pnas.1216053111","usgsCitation":"Reich, P.B., Lou, Y., Bradford, J.B., Poorter, H., Perry, C.H., and Oleksyn, J., 2014, Temperature drives global patterns in forest biomass distribution in leaves, stems, and roots: Proceedings of the National Academy of Sciences of the United States of America, v. 111, no. 38, p. 13721-13726, https://doi.org/10.1073/pnas.1216053111.","productDescription":"6 p.","startPage":"13721","endPage":"13726","ipdsId":"IP-043943","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472714,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1216053111","text":"External Repository"},{"id":294707,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294688,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.1216053111"}],"volume":"111","issue":"38","noUsgsAuthors":false,"publicationDate":"2014-09-15","publicationStatus":"PW","scienceBaseUri":"542d098fe4b092f17defc56f","contributors":{"authors":[{"text":"Reich, Peter B.","contributorId":63740,"corporation":false,"usgs":true,"family":"Reich","given":"Peter","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":502536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lou, Yunjian","contributorId":80207,"corporation":false,"usgs":true,"family":"Lou","given":"Yunjian","email":"","affiliations":[],"preferred":false,"id":502538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":502533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poorter, Hendrik","contributorId":33242,"corporation":false,"usgs":true,"family":"Poorter","given":"Hendrik","email":"","affiliations":[],"preferred":false,"id":502535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perry, Charles H.","contributorId":75865,"corporation":false,"usgs":true,"family":"Perry","given":"Charles","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":502537,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oleksyn, Jacek","contributorId":30560,"corporation":false,"usgs":true,"family":"Oleksyn","given":"Jacek","email":"","affiliations":[],"preferred":false,"id":502534,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70127689,"text":"70127689 - 2014 - Robust, low-cost data loggers for stream temperature, flow intermittency, and relative conductivity monitoring","interactions":[],"lastModifiedDate":"2014-10-02T09:16:15","indexId":"70127689","displayToPublicDate":"2014-10-01T10:37:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Robust, low-cost data loggers for stream temperature, flow intermittency, and relative conductivity monitoring","docAbstract":"Water temperature and streamflow intermittency are critical parameters influencing aquatic ecosystem health. Low-cost temperature loggers have made continuous water temperature monitoring relatively simple but determining streamflow timing and intermittency using temperature data alone requires significant and subjective data interpretation. Electrical resistance (ER) sensors have recently been developed to overcome the major limitations of temperature-based methods for the assessment of streamflow intermittency. This technical note introduces the STIC (Stream Temperature, Intermittency, and Conductivity logger); a robust, low-cost, simple to build instrument that provides long-duration, high-resolution monitoring of both relative conductivity (RC) and temperature. Simultaneously collected temperature and RC data provide unambiguous water temperature and streamflow intermittency information that is crucial for monitoring aquatic ecosystem health and assessing regulatory compliance. With proper calibration, the STIC relative conductivity data can be used to monitor specific conductivity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013WR015158","usgsCitation":"Chapin, T., Todd, A., and Zeigler, M.P., 2014, Robust, low-cost data loggers for stream temperature, flow intermittency, and relative conductivity monitoring: Water Resources Research, v. 50, no. 8, p. 6542-6548, https://doi.org/10.1002/2013WR015158.","productDescription":"7 p.","startPage":"6542","endPage":"6548","numberOfPages":"7","ipdsId":"IP-053055","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":472716,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013wr015158","text":"Publisher Index Page"},{"id":294704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294703,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013WR015158"}],"volume":"50","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-08-13","publicationStatus":"PW","scienceBaseUri":"542d098fe4b092f17defc54f","contributors":{"authors":[{"text":"Chapin, Thomas 0000-0001-6587-0734 tchapin@usgs.gov","orcid":"https://orcid.org/0000-0001-6587-0734","contributorId":758,"corporation":false,"usgs":true,"family":"Chapin","given":"Thomas","email":"tchapin@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":502539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todd, Andrew S.","contributorId":88664,"corporation":false,"usgs":true,"family":"Todd","given":"Andrew S.","affiliations":[],"preferred":false,"id":502541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zeigler, Matthew P.","contributorId":54523,"corporation":false,"usgs":true,"family":"Zeigler","given":"Matthew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":502540,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70144435,"text":"70144435 - 2014 - Mineral resource of the month: vermiculite","interactions":[],"lastModifiedDate":"2015-05-20T09:31:48","indexId":"70144435","displayToPublicDate":"2014-10-01T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: vermiculite","docAbstract":"

Vermiculite comprises a group of hydrated, laminar magnesium-aluminum-iron silicate minerals resembling mica. They are secondary minerals, typically altered biotite, iron-rich phlogopite or other micas or clay-like minerals that are themselves sometimes alteration products of amphibole, chlorite, olivine and pyroxene. Vermiculite deposits are associated with volcanic ultramafic rocks rich in magnesium silicate minerals, and flakes of the mineral range in color from black to shades of brown and yellow. The crystal structure of vermiculite contains water molecules, a property that is critical to its processing for common uses.

\n

Using a process called exfoliation-in which vermiculite flakes are heated to 900 degrees Celsius or higher, causing water within the flakes to flash to steam and expand-crude vermiculite ore is processed into particles that are eight to 20 times larger. The resulting lightweight material is chemically inert and fire resistant, with low density and low thermal conductivity. It is also odorless, has high liquid absorption capacity and catalytic properties.

\n

Because it is lightweight and thermally insulating, vermiculite is used in general building plasters and concrete products, alone or combined with other lightweight aggregates such as perlite. Special plasters, in which vermiculite is combined with binders like gypsum or portland cement, fillers or other additives, provide fire protection and soundproofing. As insulation, exfoliated vermiculite, sometimes treated with a water repellent, is used to fill pores and cavities in masonry construction and hollow blockwork to enhance acoustic properties, fire rating and insulation performance. Exfoliated vermiculite can also be used to produce refractory and insulation concretes and mortars, and to make high-temperature binders for construction materials, gaskets, specialty papers, textiles and vehicle brake linings. Finer grades of exfoliated vermiculite can be used to produce various shapes of insulation pellets, high-temperature insulation, as a primary component in cementitious coatings, and as a filler in inks, paints, plastics and other materials.

\n

Vermiculite can absorb liquids such as fertilizers, herbicides and insecticides, which can then be transported as free-flowing solids. It is used in the fertilizer and pesticide markets because of its ability to act as a bulking agent, carrier and extender. In horticulture, exfoliated vermiculite improves soil aeration and moisture retention, and when mixed with peat or other composted materials, such as pine bark, vermiculite produces a good growing medium for plants. As a soil conditioner, exfoliated vermiculite improves aeration in clay-rich soils and water retention in sandy soils, while reducing the likelihood of compaction, cracking and crusting of the soil.

\n

For more information on the commercial use of vermiculite, visit minerals.usgs.gov/minerals/.

","language":"English","publisher":"American Geological Institute","publisherLocation":"Alexandria, VA","usgsCitation":"Tanner, A.O., 2014, Mineral resource of the month: vermiculite: Earth, v. 59, no. 10, p. 63-63.","productDescription":"1 p.","startPage":"63","endPage":"63","numberOfPages":"1","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064569","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":300603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":300602,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthmagazine.org/issues/october-2014"}],"volume":"59","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"555db055e4b0a92fa7eb831c","contributors":{"authors":[{"text":"Tanner, Arnold O. atanner@usgs.gov","contributorId":524,"corporation":false,"usgs":true,"family":"Tanner","given":"Arnold","email":"atanner@usgs.gov","middleInitial":"O.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":543593,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70127641,"text":"70127641 - 2014 - Bioaccumulation and toxicity of CuO nanoparticles by a freshwater invertebrate after waterborne and dietborne exposures","interactions":[],"lastModifiedDate":"2018-09-18T16:41:54","indexId":"70127641","displayToPublicDate":"2014-10-01T10:16:00","publicationYear":"2014","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":"Bioaccumulation and toxicity of CuO nanoparticles by a freshwater invertebrate after waterborne and dietborne exposures","docAbstract":"The incidental ingestion of engineered nanoparticles (NPs) can be an important route of uptake for aquatic organisms. Yet, knowledge of dietary bioavailability and toxicity of NPs is scarce. Here we used isotopically modified copper oxide (65CuO) NPs to characterize the processes governing their bioaccumulation in a freshwater snail after waterborne and dietborne exposures. Lymnaea stagnalis efficiently accumulated 65Cu after aqueous and dietary exposures to 65CuO NPs. Cu assimilation efficiency and feeding rates averaged 83% and 0.61 g g–1 d–1 at low exposure concentrations (<100 nmol g–1), and declined by nearly 50% above this concentration. We estimated that 80–90% of the bioaccumulated 65Cu concentration in L. stagnalis originated from the 65CuO NPs, suggesting that dissolution had a negligible influence on Cu uptake from the NPs under our experimental conditions. The physiological loss of 65Cu incorporated into tissues after exposures to 65CuO NPs was rapid over the first days of depuration and not detectable thereafter. As a result, large Cu body concentrations are expected in L. stagnalis after exposure to CuO NPs. To the degree that there is a link between bioaccumulation and toxicity, dietborne exposures to CuO NPs are likely to elicit adverse effects more readily than waterborne exposures.","language":"English","publisher":"American Chemical Society","doi":"10.1021/es5018703","usgsCitation":"Croteau, M.N., Misra, S., Luoma, S.N., and Valsami-Jones, E., 2014, Bioaccumulation and toxicity of CuO nanoparticles by a freshwater invertebrate after waterborne and dietborne exposures: Environmental Science & Technology, v. 48, no. 18, p. 10929-10937, https://doi.org/10.1021/es5018703.","productDescription":"9 p.","startPage":"10929","endPage":"10937","ipdsId":"IP-056250","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":294702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294701,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es5018703"}],"volume":"48","issue":"18","noUsgsAuthors":false,"publicationDate":"2014-08-22","publicationStatus":"PW","scienceBaseUri":"542d0986e4b092f17defc4c9","contributors":{"authors":[{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":502529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Misra, Superb K.","contributorId":66188,"corporation":false,"usgs":true,"family":"Misra","given":"Superb K.","affiliations":[],"preferred":false,"id":502532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":502530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valsami-Jones, Eugenia","contributorId":26057,"corporation":false,"usgs":true,"family":"Valsami-Jones","given":"Eugenia","email":"","affiliations":[],"preferred":false,"id":502531,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70134478,"text":"70134478 - 2014 - An empirical approach to modeling methylmercury concentrations in an Adirondack stream watershed","interactions":[],"lastModifiedDate":"2020-12-31T18:30:54.598283","indexId":"70134478","displayToPublicDate":"2014-10-01T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"An empirical approach to modeling methylmercury concentrations in an Adirondack stream watershed","docAbstract":"

Inverse empirical models can inform and improve more complex process-based models by quantifying the principal factors that control water quality variation. Here we developed a multiple regression model that explains 81% of the variation in filtered methylmercury (FMeHg) concentrations in Fishing Brook, a fourth-order stream in the Adirondack Mountains, New York, a known “hot spot” of Hg bioaccumulation. This model builds on previous observations that wetland-dominated riparian areas are the principal source of MeHg to this stream and were based on 43 samples collected during a 33 month period in 2007–2009. Explanatory variables include those that represent the effects of water temperature, streamflow, and modeled riparian water table depth on seasonal and annual patterns of FMeHg concentrations. An additional variable represents the effects of an upstream pond on decreasing FMeHg concentrations. Model results suggest that temperature-driven effects on net Hg methylation rates are the principal control on annual FMeHg concentration patterns. Additionally, streamflow dilutes FMeHg concentrations during the cold dormant season. The model further indicates that depth and persistence of the riparian water table as simulated by TOPMODEL are dominant controls on FMeHg concentration patterns during the warm growing season, especially evident when concentrations during the dry summer of 2007 were less than half of those in the wetter summers of 2008 and 2009. This modeling approach may help identify the principal factors that control variation in surface water FMeHg concentrations in other settings, which can guide the appropriate application of process-based models.

","language":"English","publisher":"American Geophysical Union","publisherLocation":"Richmond, VA","usgsCitation":"Burns, D.A., Nystrom, E.A., Wolock, D.M., Bradley, P.M., and Riva-Murray, K., 2014, An empirical approach to modeling methylmercury concentrations in an Adirondack stream watershed: Journal of Geophysical Research: Biogeosciences, v. 119, no. 10, p. 1970-1984.","productDescription":"15 p.","startPage":"1970","endPage":"1984","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050741","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":296361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296324,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/enhanced/doi/10.1002/2013JG002481/"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Mountains, Fishing Brook","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.35375213623047,\n 43.89492363306683\n ],\n [\n -74.18071746826172,\n 43.89492363306683\n ],\n [\n -74.18071746826172,\n 44.02195282780904\n ],\n [\n -74.35375213623047,\n 44.02195282780904\n ],\n [\n -74.35375213623047,\n 43.89492363306683\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ee2bae4b09357f05f8a3d","contributors":{"authors":[{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":525994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Riva-Murray, Karen 0000-0001-6683-2238 krmurray@usgs.gov","orcid":"https://orcid.org/0000-0001-6683-2238","contributorId":2984,"corporation":false,"usgs":true,"family":"Riva-Murray","given":"Karen","email":"krmurray@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525996,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70127620,"text":"70127620 - 2014 - Interannual observations and quantification of summertime H2O ice deposition on the Martian CO2 ice south polar cap","interactions":[],"lastModifiedDate":"2014-10-01T10:27:37","indexId":"70127620","displayToPublicDate":"2014-10-01T10:05:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Interannual observations and quantification of summertime H2O ice deposition on the Martian CO2 ice south polar cap","docAbstract":"

The spectral signature of water ice was observed on Martian south polar cap in 2004 by the Observatoire pour l'Mineralogie, l'Eau les Glaces et l'Activite (OMEGA) ( Bibring et al., 2004). Three years later, the OMEGA instrument was used to discover water ice deposited during southern summer on the polar cap ( Langevin et al., 2007). However, temporal and spatial variations of these water ice signatures have remained unexplored, and the origins of these water deposits remains an important scientific question. To investigate this question, we have used observations from the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) instrument on the Mars Reconnaissance Orbiter (MRO) spacecraft of the southern cap during austral summer over four Martian years to search for variations in the amount of water ice.

\n
\n

We report below that for each year we have observed the cap, the magnitude of the H2O ice signature on the southern cap has risen steadily throughout summer, particularly on the west end of the cap. The spatial extent of deposition is in disagreement with the current best simulations of deposition of water ice on the south polar cap (Montmessin et al., 2007).

\n
\n

This increase in water ice signatures is most likely caused by deposition of atmospheric H2O ice and a set of unusual conditions makes the quantification of this transport flux using CRISM close to ideal. We calculate a ‘minimum apparent‘ amount of deposition corresponding to a thin H2O ice layer of 0.2 mm (with 70% porosity). This amount of H2O ice deposition is 0.6–6% of the total Martian atmospheric water budget. We compare our ‘minimum apparent’ quantification with previous estimates.

\n
\n

This deposition process may also have implications for the formation and stability of the southern CO2 ice cap, and therefore play a significant role in the climate budget of modern day Mars.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2014.08.039","usgsCitation":"Brown, A.J., Piqueux, S., and Titus, T.N., 2014, Interannual observations and quantification of summertime H2O ice deposition on the Martian CO2 ice south polar cap: Earth and Planetary Science Letters, v. 405, p. 102-109, https://doi.org/10.1016/j.epsl.2014.08.039.","productDescription":"8 p.","startPage":"102","endPage":"109","ipdsId":"IP-052608","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":472717,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://arxiv.org/abs/1407.0111","text":"External Repository"},{"id":294700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294670,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2014.08.039"}],"otherGeospatial":"Mars South Pole","volume":"405","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542d098ee4b092f17defc543","contributors":{"authors":[{"text":"Brown, Adrian J.","contributorId":106032,"corporation":false,"usgs":true,"family":"Brown","given":"Adrian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":502528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piqueux, Sylvain","contributorId":56986,"corporation":false,"usgs":false,"family":"Piqueux","given":"Sylvain","email":"","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":502527,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":502526,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70126736,"text":"sir20145138 - 2014 - Geologic and hydrogeologic frameworks of the Biscayne aquifer in central Miami-Dade County, Florida","interactions":[],"lastModifiedDate":"2014-10-01T09:35:53","indexId":"sir20145138","displayToPublicDate":"2014-10-01T09:42:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5138","title":"Geologic and hydrogeologic frameworks of the Biscayne aquifer in central Miami-Dade County, Florida","docAbstract":"

Evaluations of the lithostratigraphy, lithofacies, paleontology, ichnology, depositional environments, and cyclostratigraphy from 11 test coreholes were linked to geophysical interpretations, and to results of hydraulic slug tests of six test coreholes at the Snapper Creek Well Field (SCWF), to construct geologic and hydrogeologic frameworks for the study area in central Miami-Dade County, Florida. The resulting geologic and hydrogeologic frameworks are consistent with those recently described for the Biscayne aquifer in the nearby Lake Belt area in Miami-Dade County and link the Lake Belt area frameworks with those developed for the SCWF study area. The hydrogeologic framework is characterized by a triple-porosity pore system of (1) matrix porosity (mainly mesoporous interparticle porosity, moldic porosity, and mesoporous to megaporous separate vugs), which under dynamic conditions, produces limited flow; (2) megaporous, touching-vug porosity that commonly forms stratiform groundwater passageways; and (3) conduit porosity, including bedding-plane vugs, decimeter-scale diameter vertical solution pipes, and meter-scale cavernous vugs. The various pore types and associated permeabilities generally have a predictable vertical spatial distribution related to the cyclostratigraphy.

\n
\n

The Biscayne aquifer within the study area can be described as two major flow units separated by a single middle semiconfining unit. The upper Biscayne aquifer flow unit is present mainly within the Miami Limestone at the top of the aquifer and has the greatest hydraulic conductivity values, with a mean of 8,200 feet per day. The middle semiconfining unit, mainly within the upper Fort Thompson Formation, comprises continuous to discontinuous zones with (1) matrix porosity; (2) leaky, low permeability layers that may have up to centimeter-scale vuggy porosity with higher vertical permeability than horizontal permeability; and (3) stratiform flow zones composed of fossil moldic porosity, burrow related vugs, or irregular vugs. Flow zones with a mean hydraulic conductivity of 2,600 feet per day are present within the middle semiconfining unit, but none of the flow zones are continuous across the study area. The lower Biscayne aquifer flow unit comprises a group of flow zones in the lower part of the aquifer. These flow zones are present in the lower part of the Fort Thompson Formation and in some cases within the limestone or sandstone or both in the uppermost part of the Pinecrest Sand Member of the Tamiami Formation. The mean hydraulic conductivity of major flow zones within the lower Biscayne aquifer flow unit is 5,900 feet per day, and the mean value for minor flow zones is 2,900 feet per day. A semiconfining unit is present beneath the Biscayne aquifer. The boundary between the two hydrologic units is at the top or near the top of the Pinecrest Sand Member of the Tamiami Formation. The lower semiconfining unit has a hydraulic conductivity of less than 350 feet per day.

\n
\n

The most productive zones of groundwater flow within the two Biscayne aquifer flow units have a characteristic pore system dominated by stratiform megaporosity related to selective dissolution of an Ophiomorpha-dominated ichnofabric. In the upper flow unit, decimeter-scale vertical solution pipes that are common in some areas of the SCWF study area contribute to high vertical permeability compared to that in areas without the pipes. Cross-hole flowmeter data collected from the SCWF test coreholes show that the distribution of vuggy porosity, matrix porosity, and permeability within the Biscayne aquifer of the SCWF is highly heterogeneous and anisotropic.

\n
\n

Groundwater withdrawals from production well fields in southeastern Florida may be inducing recharge of the Biscayne aquifer from canals near the well fields that are used for water-management functions, such as flood control and well-field pumping. The SCWF was chosen as a location within Miami-Dade County to study the potential for such recharge to the Biscayne aquifer from the C–2 (Snapper Creek) canal that roughly divides the well field in half. Geologic, hydrogeologic, and hydraulic information on the aquifer collected during construction of monitoring wells within the SCWF could be used to evaluate the groundwater flow budget at the well-field scale.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145138","collaboration":"Prepared in cooperation with the Miami-Dade County Water and Sewer Department","usgsCitation":"Wacker, M.A., Cunningham, K.J., and Williams, J., 2014, Geologic and hydrogeologic frameworks of the Biscayne aquifer in central Miami-Dade County, Florida: U.S. Geological Survey Scientific Investigations Report 2014-5138, Report: viii, 66 p.; 4 Appendices; 3 Plates: 36 X 29.17 or smaller, https://doi.org/10.3133/sir20145138.","productDescription":"Report: viii, 66 p.; 4 Appendices; 3 Plates: 36 X 29.17 or smaller","numberOfPages":"77","onlineOnly":"Y","ipdsId":"IP-044408","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":294577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145138.jpg"},{"id":294680,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5138/plates/sir2014-5138_plate02.pdf"},{"id":294681,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5138/plates/sir2014-5138_plate03.pdf"},{"id":294677,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5138/appendix/sir2014-5138_appendix04"},{"id":294678,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5138/appendix/sir2014-5138_appendix06.pdf"},{"id":294679,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5138/plates/sir2014-5138_plate01.pdf"},{"id":294673,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5138/"},{"id":294674,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5138/pdf/sir2014-5138.pdf"},{"id":294675,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5138/appendix/sir2014-5138_appendix01.pdf"},{"id":294676,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5138/appendix/sir2014-5138_appendix02"}],"country":"United States","state":"Florida","county":"Miami-Dade County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.8736,25.1374 ], [ -80.8736,25.9794 ], [ -80.1179,25.9794 ], [ -80.1179,25.1374 ], [ -80.8736,25.1374 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542d098ee4b092f17defc535","contributors":{"authors":[{"text":"Wacker, Michael A. mwacker@usgs.gov","contributorId":2162,"corporation":false,"usgs":true,"family":"Wacker","given":"Michael","email":"mwacker@usgs.gov","middleInitial":"A.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":502139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":502138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502137,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70128281,"text":"70128281 - 2014 - An enhanced model of land water and energy for global hydrologic and earth-system studies","interactions":[],"lastModifiedDate":"2014-10-07T09:26:36","indexId":"70128281","displayToPublicDate":"2014-10-01T09:24:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2344,"text":"Journal of Hydrometeorology","active":true,"publicationSubtype":{"id":10}},"title":"An enhanced model of land water and energy for global hydrologic and earth-system studies","docAbstract":"LM3 is a new model of terrestrial water, energy, and carbon, intended for use in global hydrologic analyses and as a component of earth-system and physical-climate models. It is designed to improve upon the performance and to extend the scope of the predecessor Land Dynamics (LaD) and LM3V models by better quantifying the physical controls of climate and biogeochemistry and by relating more directly to components of the global water system that touch human concerns. LM3 includes multilayer representations of temperature, liquid water content, and ice content of both snowpack and macroporous soil–bedrock; topography-based description of saturated area and groundwater discharge; and transport of runoff to the ocean via a global river and lake network. Sensible heat transport by water mass is accounted throughout for a complete energy balance. Carbon and vegetation dynamics and biophysics are represented as in LM3V. In numerical experiments, LM3 avoids some of the limitations of the LaD model and provides qualitatively (though not always quantitatively) reasonable estimates, from a global perspective, of observed spatial and/or temporal variations of vegetation density, albedo, streamflow, water-table depth, permafrost, and lake levels. Amplitude and phase of annual cycle of total water storage are simulated well. Realism of modeled lake levels varies widely. The water table tends to be consistently too shallow in humid regions. Biophysical properties have an artificial stepwise spatial structure, and equilibrium vegetation is sensitive to initial conditions. Explicit resolution of thick (>100 m) unsaturated zones and permafrost is possible, but only at the cost of long (≫300 yr) model spinup times.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrometeorology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston, MA","doi":"10.1175/JHM-D-13-0162.1","usgsCitation":"Milly, P., Malyshev, S.L., Shevliakova, E., Dunne, K.A., Findell, K.L., Gleeson, T., Liang, Z., Phillips, P., Stouffer, R.J., and Swenson, S., 2014, An enhanced model of land water and energy for global hydrologic and earth-system studies: Journal of Hydrometeorology, v. 15, p. 1739-1761, https://doi.org/10.1175/JHM-D-13-0162.1.","productDescription":"23 p.","startPage":"1739","endPage":"1761","numberOfPages":"23","ipdsId":"IP-054670","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472719,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jhm-d-13-0162.1","text":"Publisher Index Page"},{"id":294977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294973,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/JHM-D-13-0162.1"},{"id":294974,"type":{"id":15,"text":"Index Page"},"url":"https://journals.ametsoc.org/doi/full/10.1175/JHM-D-13-0162.1"}],"volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5435009ee4b0a4f4b46a2374","contributors":{"authors":[{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":502796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malyshev, Sergey L.","contributorId":27810,"corporation":false,"usgs":true,"family":"Malyshev","given":"Sergey","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":502803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shevliakova, Elena","contributorId":9596,"corporation":false,"usgs":true,"family":"Shevliakova","given":"Elena","affiliations":[],"preferred":false,"id":502799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunne, Krista A. kadunne@usgs.gov","contributorId":3936,"corporation":false,"usgs":true,"family":"Dunne","given":"Krista","email":"kadunne@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":502797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Findell, Kirsten L.","contributorId":8404,"corporation":false,"usgs":true,"family":"Findell","given":"Kirsten","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":502798,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gleeson, Tom","contributorId":81041,"corporation":false,"usgs":true,"family":"Gleeson","given":"Tom","email":"","affiliations":[],"preferred":false,"id":502805,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liang, Zhi","contributorId":12397,"corporation":false,"usgs":true,"family":"Liang","given":"Zhi","email":"","affiliations":[],"preferred":false,"id":502801,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Phillips, Peter","contributorId":10740,"corporation":false,"usgs":true,"family":"Phillips","given":"Peter","email":"","affiliations":[],"preferred":false,"id":502800,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stouffer, Ronald J.","contributorId":17172,"corporation":false,"usgs":true,"family":"Stouffer","given":"Ronald","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":502802,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Swenson, Sean","contributorId":58584,"corporation":false,"usgs":true,"family":"Swenson","given":"Sean","affiliations":[],"preferred":false,"id":502804,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70123314,"text":"sir20145171 - 2014 - Use of stable isotopes of nitrogen and water to identify sources of nitrogen in three urban creeks of Durham, North Carolina, 2011-12","interactions":[],"lastModifiedDate":"2014-10-02T09:46:37","indexId":"sir20145171","displayToPublicDate":"2014-10-01T09:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5171","title":"Use of stable isotopes of nitrogen and water to identify sources of nitrogen in three urban creeks of Durham, North Carolina, 2011-12","docAbstract":"A preliminary assessment of nitrate sources was conducted in three creeks that feed nutrient impaired Falls and Jordan Lakes in the vicinity of Durham County, North Carolina, from July 2011 to June 2012. Cabin Branch, Ellerbe Creek, and Third Fork Creek were sampled monthly to determine if sources of nitrate in surface water could be identified on the basis of their stable isotopic compositions. Land use differs in the drainage basins of the investigated creeks—the predominant land use in Cabin Branch Basin is forest, and the Ellerbe and Third Fork Creek Basins are predominantly developed urban areas. Total nutrient concentrations were below 1 milligram per liter (mg/L). All measured nitrate plus nitrite concentrations were below the North Carolina standard of 10 mg/L as nitrogen with the highest concentration of 0.363 mg/L measured in Third Fork Creek. Concentrations of ammonia were generally less than 0.1 mg/L as nitrogen in all creek samples. More than 50 percent of the total nitrogen measured in the creeks was in the form of organic nitrogen. Total phosphorus and orthophosphate concentrations in all samples were generally less than 0.2 mg/L as phosphorus. The isotopic composition of surface water (δ2HH20 and δ18OH2O) is similar to that of modern-day precipitation. During July and August 2011 and May and June 2012, surface-water samples displayed a seasonal difference in isotopic composition, indicating fractionation of isotopes as a result of evaporation and, potentially, mixing with local and regional groundwater. The dominant source of nitrate to Cabin Branch, Ellerbe Creek, and Third Fork Creek was the nitrification of soil nitrogen. Two stormflow samples in Ellerbe Creek and Third Fork Creek had nitrate sources that were a mixture of the nitrification of soil nitrogen and an atmospheric source that had bypassed some soil contact through impermeable surfaces within the drainage basin. No influence of a septic or wastewater source was found in Cabin Branch. Results from this study suggest that it is possible to distinguish sources of nitrogen and biogeochemical processes on nitrate using stable isotopes of nitrogen and oxygen in small creeks of Durham County, North Carolina.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145171","collaboration":"Prepared in cooperation with the City of Durham, Public Works Department, Stormwater Services Division","usgsCitation":"McSwain, K., Young, M.B., and Giorgino, M.L., 2014, Use of stable isotopes of nitrogen and water to identify sources of nitrogen in three urban creeks of Durham, North Carolina, 2011-12: U.S. Geological Survey Scientific Investigations Report 2014-5171, vi, 22 p., https://doi.org/10.3133/sir20145171.","productDescription":"vi, 22 p.","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-050802","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":294699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145171.jpg"},{"id":294697,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5171/"},{"id":294698,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5171/pdf/sir2014-5171.pdf"}],"country":"United States","state":"North Carolina","county":"Durham County","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542d0990e4b092f17defc581","contributors":{"authors":[{"text":"McSwain, Kristen Bukowski","contributorId":74694,"corporation":false,"usgs":true,"family":"McSwain","given":"Kristen Bukowski","affiliations":[],"preferred":false,"id":500014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Megan B. 0000-0002-0229-4108 mbyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-0229-4108","contributorId":3315,"corporation":false,"usgs":true,"family":"Young","given":"Megan","email":"mbyoung@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":500013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Giorgino, Mary L. giorgino@usgs.gov","contributorId":2242,"corporation":false,"usgs":true,"family":"Giorgino","given":"Mary","email":"giorgino@usgs.gov","middleInitial":"L.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":500012,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70147913,"text":"70147913 - 2014 - Thermal ecology of subadult and adult muskellunge in a thermally enriched reservoir","interactions":[],"lastModifiedDate":"2015-05-08T10:18:20","indexId":"70147913","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Thermal ecology of subadult and adult muskellunge in a thermally enriched reservoir","docAbstract":"

The movement of adult muskellunge, Esox masquinongy Mitchill, has been investigated in a variety of systems, but temperature selection by muskellunge has not been examined where well-oxygenated waters were available over a range of temperatures for much of the year. Thirty subadult and adult muskellunge tagged internally with temperature-sensing radio tags were tracked from March 2010 to March 2011 in a Tennessee reservoir. Mean tag temperatures were 18.9 °C in spring (March to May), 22.1 °C in summer (June to August), 16.5 °C in autumn and 9.8 °C in winter (December to February). When the greatest range in water temperatures was available (7.1–33.3 °C; May to early August 2010), their realised thermal niche (mean ± 1 SD) was 22.3 °C ± 1.8; the realised thermal niche was affected by fish size (smaller fish selected slightly warmer temperatures) but not sex. An electric generating steam plant discharging warm water resumed operation in January 2011, and most (86%) tagged fish occupied the plume where temperatures were ≈10 °C warmer than ambient water temperatures. No mortalities were observed 15 days later when plant operations ceased. Their affinity for the heated plume prompted concerns that muskellunge will be too easily exploited when the plant operates during winter.

","language":"English","publisher":"Wiley","doi":"10.1111/fme.12093","usgsCitation":"Cole, A.J., and Bettoli, P.W., 2014, Thermal ecology of subadult and adult muskellunge in a thermally enriched reservoir: Fisheries Management and Ecology, v. 21, no. 5, p. 410-420, https://doi.org/10.1111/fme.12093.","productDescription":"11 p.","startPage":"410","endPage":"420","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055104","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Melton Hill Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.30084228515625,\n 35.88571227867025\n ],\n [\n -84.29191589355469,\n 35.879036255232734\n ],\n [\n -84.28642272949219,\n 35.87375067093763\n ],\n [\n -84.28092956542969,\n 35.87375067093763\n ],\n [\n -84.27680969238281,\n 35.878758075377704\n ],\n [\n -84.27749633789062,\n 35.88487780651501\n ],\n [\n -84.28092956542969,\n 35.88960636579773\n ],\n [\n -84.2823028564453,\n 35.8940565165966\n ],\n [\n -84.28264617919922,\n 35.89822830579781\n ],\n [\n -84.27955627441406,\n 35.9004531701427\n ],\n [\n -84.27337646484375,\n 35.89655961649937\n ],\n [\n -84.2702865600586,\n 35.89433464271641\n ],\n [\n -84.26651000976561,\n 35.8929440023465\n ],\n [\n -84.26307678222656,\n 35.8940565165966\n ],\n [\n -84.26136016845703,\n 35.89683773382525\n ],\n [\n -84.2647933959961,\n 35.901565578863405\n ],\n [\n -84.26856994628906,\n 35.906571224623576\n ],\n [\n -84.26822662353516,\n 35.910464285761016\n ],\n [\n -84.26307678222656,\n 35.912410744500775\n ],\n [\n -84.25552368164062,\n 35.913522985137384\n ],\n [\n -84.25106048583983,\n 35.91769374825688\n ],\n [\n -84.25209045410156,\n 35.92381046971315\n ],\n [\n -84.25586700439453,\n 35.930204718146754\n ],\n [\n -84.26067352294922,\n 35.933818629834796\n ],\n [\n -84.25518035888672,\n 35.936320471920354\n ],\n [\n -84.24934387207031,\n 35.931872697915146\n ],\n [\n -84.24316406249999,\n 35.9271466638429\n ],\n [\n -84.23355102539062,\n 35.929370715066355\n ],\n [\n -84.22599792480469,\n 35.93215069112195\n ],\n [\n -84.22840118408203,\n 35.93493056942606\n ],\n [\n -84.23286437988281,\n 35.9357645138553\n ],\n [\n -84.23629760742188,\n 35.94465937365279\n ],\n [\n -84.23870086669922,\n 35.94994022299046\n ],\n [\n -84.23698425292969,\n 35.95216363290924\n ],\n [\n -84.22908782958984,\n 35.94604910506568\n ],\n [\n -84.22325134277344,\n 35.94465937365279\n ],\n [\n -84.21466827392578,\n 35.94465937365279\n ],\n [\n -84.20883178710938,\n 35.94771675049801\n ],\n [\n -84.1988754272461,\n 35.944103474244\n ],\n [\n -84.1995620727539,\n 35.94827262448732\n ],\n [\n -84.19784545898438,\n 35.95188571009145\n ],\n [\n -84.20196533203125,\n 35.951051935771666\n ],\n [\n -84.20539855957031,\n 35.95271947561164\n ],\n [\n -84.2098617553711,\n 35.95549863045834\n ],\n [\n -84.21226501464842,\n 35.957166076433374\n ],\n [\n -84.2156982421875,\n 35.95883348720779\n ],\n [\n -84.21707153320312,\n 35.963001860136956\n ],\n [\n -84.21192169189452,\n 35.97022651867593\n ],\n [\n -84.20677185058594,\n 35.97328290597334\n ],\n [\n -84.19990539550781,\n 35.97606133719299\n ],\n [\n -84.19578552246094,\n 35.97800618085568\n ],\n [\n -84.19063568115234,\n 35.98161790622787\n ],\n [\n -84.18994903564453,\n 35.990507602922406\n ],\n [\n -84.18102264404295,\n 35.98911865383744\n ],\n [\n -84.17587280273438,\n 35.987174084036305\n ],\n [\n -84.16900634765625,\n 35.987174084036305\n ],\n [\n -84.15870666503906,\n 35.98939644561075\n ],\n [\n -84.14978027343749,\n 35.99884078388202\n ],\n [\n -84.14051055908203,\n 36.004951223693894\n ],\n [\n -84.13364410400389,\n 36.009672602871746\n ],\n [\n -84.12094116210938,\n 36.013005170878124\n ],\n [\n -84.12403106689453,\n 36.01633759799282\n ],\n [\n -84.11819458007811,\n 36.02022525154813\n ],\n [\n -84.10686492919922,\n 36.026056372281715\n ],\n [\n -84.100341796875,\n 36.03188706147076\n ],\n [\n -84.10995483398438,\n 36.02827763809749\n ],\n [\n -84.1168212890625,\n 36.02633403393367\n ],\n [\n -84.12643432617186,\n 36.02661169460707\n ],\n [\n -84.12883758544922,\n 36.02189133007692\n ],\n [\n -84.12883758544922,\n 36.01828144874305\n ],\n [\n -84.13089752197266,\n 36.01356058518153\n ],\n [\n -84.13536071777344,\n 36.01383829086563\n ],\n [\n -84.1387939453125,\n 36.01328287851905\n ],\n [\n -84.1387939453125,\n 36.008839438856434\n ],\n [\n -84.14600372314453,\n 36.00633989397899\n ],\n [\n -84.15321350097656,\n 36.002451555546465\n ],\n [\n -84.15973663330078,\n 36.01494910381763\n ],\n [\n -84.16179656982422,\n 36.02189133007692\n ],\n [\n -84.16728973388672,\n 36.02855529192086\n ],\n [\n -84.17415618896484,\n 36.0310541322945\n ],\n [\n -84.1830825805664,\n 36.03216470257227\n ],\n [\n -84.19132232666016,\n 36.04160391772081\n ],\n [\n -84.19647216796874,\n 36.04521273039952\n ],\n [\n -84.19509887695312,\n 36.05798104702501\n ],\n [\n -84.19097900390625,\n 36.06658461382945\n ],\n [\n -84.17999267578125,\n 36.06547452904167\n ],\n [\n -84.17003631591797,\n 36.064919480773824\n ],\n [\n -84.16488647460936,\n 36.067417167140704\n ],\n [\n -84.15904998779297,\n 36.06686213257888\n ],\n [\n -84.15218353271484,\n 36.067417167140704\n ],\n [\n -84.15081024169922,\n 36.07241230197147\n ],\n [\n -84.15596008300781,\n 36.07962693669393\n ],\n [\n -84.15939331054688,\n 36.08462129606931\n ],\n [\n -84.15287017822266,\n 36.08434383998265\n ],\n [\n -84.14531707763672,\n 36.08156922526038\n ],\n [\n -84.13707733154297,\n 36.08073682174974\n ],\n [\n -84.1329574584961,\n 36.08406638291679\n ],\n [\n -84.13021087646484,\n 36.09349937380574\n ],\n [\n -84.1278076171875,\n 36.09932506734468\n ],\n [\n -84.12609100341795,\n 36.102931232621046\n ],\n [\n -84.11819458007811,\n 36.103763401102384\n ],\n [\n -84.11613464355469,\n 36.10015727402227\n ],\n [\n -84.11991119384766,\n 36.094054220369024\n ],\n [\n -84.12471771240234,\n 36.0907250822317\n ],\n [\n -84.12677764892578,\n 36.086286012025894\n ],\n [\n -84.12094116210938,\n 36.08184669113893\n ],\n [\n -84.11201477050781,\n 36.0824016199585\n ],\n [\n -84.10343170166016,\n 36.0857311106239\n ],\n [\n -84.09416198730469,\n 36.0907250822317\n ],\n [\n -84.09141540527344,\n 36.09349937380574\n ],\n [\n -84.09622192382812,\n 36.10182166093424\n ],\n [\n -84.10240173339842,\n 36.10931096570862\n ],\n [\n -84.1058349609375,\n 36.11846359074561\n ],\n [\n -84.11064147949217,\n 36.12401011705408\n ],\n [\n -84.12471771240234,\n 36.13094272389097\n ],\n [\n -84.1274642944336,\n 36.13704291139741\n ],\n [\n -84.11579132080078,\n 36.13815198545098\n ],\n [\n -84.11270141601562,\n 36.14231087352999\n ],\n [\n -84.11579132080078,\n 36.14896463588831\n ],\n [\n -84.11407470703125,\n 36.15866702755911\n ],\n [\n -84.1171646118164,\n 36.16310200677002\n ],\n [\n -84.12574768066406,\n 36.16337918464028\n ],\n [\n -84.12128448486328,\n 36.16864537795908\n ],\n [\n -84.11476135253906,\n 36.17529690587812\n ],\n [\n -84.111328125,\n 36.180839414525735\n ],\n [\n -84.11338806152344,\n 36.186935721158335\n ],\n [\n -84.11991119384766,\n 36.195248101907744\n ],\n [\n -84.12368774414062,\n 36.19995805932895\n ],\n [\n -84.11819458007811,\n 36.2049447642222\n ],\n [\n -84.10720825195312,\n 36.20328256455562\n ],\n [\n -84.09931182861328,\n 36.201066243425515\n ],\n [\n -84.08523559570312,\n 36.20300552784606\n ],\n [\n -84.07493591308594,\n 36.20632990364678\n ],\n [\n -84.07218933105469,\n 36.21242422589122\n ],\n [\n -84.0787124633789,\n 36.21824109074759\n ],\n [\n -84.08489227294922,\n 36.22045692550888\n ],\n [\n -84.0890121459961,\n 36.22488840673788\n ],\n [\n -84.09484863281249,\n 36.2243344853143\n ],\n [\n -84.0896987915039,\n 36.21713314983094\n ],\n [\n -84.07974243164061,\n 36.21214722153981\n ],\n [\n -84.0793991088867,\n 36.20882309283712\n ],\n [\n -84.09107208251953,\n 36.20716097553515\n ],\n [\n -84.09519195556639,\n 36.20660692859011\n ],\n [\n -84.10205841064453,\n 36.20660692859011\n ],\n [\n -84.11029815673827,\n 36.20937712409333\n ],\n [\n -84.1164779663086,\n 36.210762185073854\n ],\n [\n -84.12403106689453,\n 36.20937712409333\n ],\n [\n -84.12952423095703,\n 36.204113668801206\n ],\n [\n -84.13021087646484,\n 36.195802229252045\n ],\n [\n -84.12403106689453,\n 36.18887535558557\n ],\n [\n -84.11991119384766,\n 36.18555023858626\n ],\n [\n -84.11785125732422,\n 36.18250209066106\n ],\n [\n -84.11888122558592,\n 36.17889958109954\n ],\n [\n -84.12403106689453,\n 36.1733569352216\n ],\n [\n -84.12952423095703,\n 36.16919969351565\n ],\n [\n -84.13261413574219,\n 36.16421071237066\n ],\n [\n -84.12883758544922,\n 36.159498605271835\n ],\n [\n -84.1226577758789,\n 36.15755824355528\n ],\n [\n -84.11991119384766,\n 36.15700384567333\n ],\n [\n -84.12128448486328,\n 36.15201408833908\n ],\n [\n -84.12128448486328,\n 36.14563782526004\n ],\n [\n -84.12162780761719,\n 36.14064734475343\n ],\n [\n -84.13021087646484,\n 36.14203362118349\n ],\n [\n -84.13364410400389,\n 36.1373201813805\n ],\n [\n -84.13021087646484,\n 36.12983354794379\n ],\n [\n -84.12368774414062,\n 36.126228617859475\n ],\n [\n -84.1164779663086,\n 36.12151422870585\n ],\n [\n -84.111328125,\n 36.116799556445024\n ],\n [\n -84.10720825195312,\n 36.108756226878164\n ],\n [\n -84.10240173339842,\n 36.09849285185278\n ],\n [\n -84.09828186035156,\n 36.09266709661607\n ],\n [\n -84.10514831542969,\n 36.09017021216552\n ],\n [\n -84.111328125,\n 36.08795069273044\n ],\n [\n -84.11750793457031,\n 36.086008561814516\n ],\n [\n -84.12025451660156,\n 36.086840909511004\n ],\n [\n -84.10926818847656,\n 36.09932506734468\n ],\n [\n -84.11064147949217,\n 36.104872945365706\n ],\n [\n -84.11338806152344,\n 36.10847885599375\n ],\n [\n -84.12025451660156,\n 36.10847885599375\n ],\n [\n -84.12986755371094,\n 36.10542771162082\n ],\n [\n -84.13192749023438,\n 36.10265384116845\n ],\n [\n -84.13536071777344,\n 36.09655098142767\n ],\n [\n -84.13536071777344,\n 36.09266709661607\n ],\n [\n -84.13707733154297,\n 36.08711835678472\n ],\n [\n -84.13982391357422,\n 36.08406638291679\n ],\n [\n -84.14703369140625,\n 36.08545365845406\n ],\n [\n -84.15390014648438,\n 36.08711835678472\n ],\n [\n -84.16007995605469,\n 36.08767324839443\n ],\n [\n -84.16316986083984,\n 36.083788924871726\n ],\n [\n -84.1607666015625,\n 36.0779620797358\n ],\n [\n -84.15664672851562,\n 36.07157980152828\n ],\n [\n -84.15973663330078,\n 36.06991477420733\n ],\n [\n -84.16488647460936,\n 36.070192281208456\n ],\n [\n -84.16969299316406,\n 36.06908224732973\n ],\n [\n -84.17552947998047,\n 36.06824971164083\n ],\n [\n -84.1830825805664,\n 36.070192281208456\n ],\n [\n -84.19063568115234,\n 36.071857302655054\n ],\n [\n -84.19921875,\n 36.06769468295309\n ],\n [\n -84.20127868652344,\n 36.061311571582486\n ],\n [\n -84.20127868652344,\n 36.05714839385991\n ],\n [\n -84.20230865478516,\n 36.052152289859734\n ],\n [\n -84.20608520507812,\n 36.04604550983511\n ],\n [\n -84.20436859130858,\n 36.039938256081015\n ],\n [\n -84.20059204101562,\n 36.03855017779992\n ],\n [\n -84.19750213623047,\n 36.0338305286301\n ],\n [\n -84.20127868652344,\n 36.02966589742849\n ],\n [\n -84.19715881347656,\n 36.025223381454495\n ],\n [\n -84.19029235839844,\n 36.02550104604211\n ],\n [\n -84.18514251708984,\n 36.02550104604211\n ],\n [\n -84.17724609375,\n 36.02300202952591\n ],\n [\n -84.17312622070311,\n 36.023557373379276\n ],\n [\n -84.17003631591797,\n 36.019114512959\n ],\n [\n -84.16831970214844,\n 36.011616617997426\n ],\n [\n -84.16454315185547,\n 36.0055066947429\n ],\n [\n -84.16145324707031,\n 35.9968964537381\n ],\n [\n -84.16454315185547,\n 35.99356320483023\n ],\n [\n -84.17587280273438,\n 35.9968964537381\n ],\n [\n -84.18136596679688,\n 35.99800750540412\n ],\n [\n -84.18548583984375,\n 36.00106281677957\n ],\n [\n -84.1933822631836,\n 35.99800750540412\n ],\n [\n -84.19921875,\n 35.99467430345098\n ],\n [\n -84.1988754272461,\n 35.98995202622287\n ],\n [\n -84.19921875,\n 35.983284800650324\n ],\n [\n -84.210205078125,\n 35.97939532555972\n ],\n [\n -84.2160415649414,\n 35.979673151566416\n ],\n [\n -84.21981811523436,\n 35.98106226692917\n ],\n [\n -84.22359466552734,\n 35.980228800645676\n ],\n [\n -84.2270278930664,\n 35.97883967061221\n ],\n [\n -84.22222137451172,\n 35.97467213380802\n ],\n [\n -84.2266845703125,\n 35.96772575014511\n ],\n [\n -84.22393798828125,\n 35.961612426939865\n ],\n [\n -84.21947479248045,\n 35.95661026501952\n ],\n [\n -84.21913146972656,\n 35.951329861522666\n ],\n [\n -84.22119140625,\n 35.94855056001542\n ],\n [\n -84.22840118408203,\n 35.95188571009145\n ],\n [\n -84.23080444335938,\n 35.95633235784589\n ],\n [\n -84.23320770263672,\n 35.96216820315225\n ],\n [\n -84.2380142211914,\n 35.96661427203892\n ],\n [\n -84.24762725830078,\n 35.96661427203892\n ],\n [\n -84.25346374511719,\n 35.96439126888757\n ],\n [\n -84.2490005493164,\n 35.95549863045834\n ],\n [\n -84.2490005493164,\n 35.94771675049801\n ],\n [\n -84.24247741699219,\n 35.943547570924665\n ],\n [\n -84.24041748046875,\n 35.93659844948653\n ],\n [\n -84.24041748046875,\n 35.933262654173944\n ],\n [\n -84.2490005493164,\n 35.938822234823434\n ],\n [\n -84.24934387207031,\n 35.94493732189066\n ],\n [\n -84.25209045410156,\n 35.94994022299046\n ],\n [\n -84.25586700439453,\n 35.95271947561164\n ],\n [\n -84.26445007324219,\n 35.95661026501952\n ],\n [\n -84.27165985107422,\n 35.95577654056531\n ],\n [\n -84.27749633789062,\n 35.95049608133651\n ],\n [\n -84.27303314208984,\n 35.946604990787165\n ],\n [\n -84.2757797241211,\n 35.94076799566985\n ],\n [\n -84.28024291992188,\n 35.9357645138553\n ],\n [\n -84.28504943847656,\n 35.934652585994556\n ],\n [\n -84.28573608398438,\n 35.929926718097434\n ],\n [\n -84.28436279296875,\n 35.92464453144099\n ],\n [\n -84.27989959716797,\n 35.92186429147193\n ],\n [\n -84.26788330078125,\n 35.92464453144099\n ],\n [\n -84.26204681396484,\n 35.92659064126237\n ],\n [\n -84.25792694091797,\n 35.92103020042177\n ],\n [\n -84.26410675048828,\n 35.91880591461642\n ],\n [\n -84.27131652832031,\n 35.916025469397034\n ],\n [\n -84.27406311035155,\n 35.913522985137384\n ],\n [\n -84.27371978759766,\n 35.90768354735064\n ],\n [\n -84.27371978759766,\n 35.904902711216174\n ],\n [\n -84.2816162109375,\n 35.907405468134726\n ],\n [\n -84.28607940673828,\n 35.902956067777865\n ],\n [\n -84.28951263427733,\n 35.89795019335754\n ],\n [\n -84.28779602050781,\n 35.88988450755058\n ],\n [\n -84.28607940673828,\n 35.88459964717596\n ],\n [\n -84.28607940673828,\n 35.88098348686397\n ],\n [\n -84.29534912109375,\n 35.88710304605573\n ],\n [\n -84.30084228515625,\n 35.88571227867025\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-10","publicationStatus":"PW","scienceBaseUri":"554dde2fe4b082ec54129f31","contributors":{"authors":[{"text":"Cole, A. J.","contributorId":140640,"corporation":false,"usgs":false,"family":"Cole","given":"A.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":546381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bettoli, Phillip William pbettoli@usgs.gov","contributorId":1919,"corporation":false,"usgs":true,"family":"Bettoli","given":"Phillip","email":"pbettoli@usgs.gov","middleInitial":"William","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":546382,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70144529,"text":"70144529 - 2014 - Breeding site selection by coho salmon (Oncorhynchus kisutch) in relation to large wood additions and factors that influence reproductive success","interactions":[],"lastModifiedDate":"2018-10-11T16:40:04","indexId":"70144529","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Breeding site selection by coho salmon (Oncorhynchus kisutch) in relation to large wood additions and factors that influence reproductive success","title":"Breeding site selection by coho salmon (Oncorhynchus kisutch) in relation to large wood additions and factors that influence reproductive success","docAbstract":"

The fitness of female Pacific salmon (Oncorhynchus spp.) with respect to breeding behavior can be partitioned into at least four fitness components: survival to reproduction, competition for breeding sites, success of egg incubation, and suitability of the local environment near breeding sites for early rearing of juveniles. We evaluated the relative influences of habitat features linked to these fitness components with respect to selection of breeding sites by coho salmon (Oncorhynchus kisutch). We also evaluated associations between breeding site selection and additions of large wood, as the latter were introduced into the study system as a means of restoring habitat conditions to benefit coho salmon. We used a model selection approach to organize specific habitat features into groupings reflecting fitness components and influences of large wood. Results of this work suggest that female coho salmon likely select breeding sites based on a wide range of habitat features linked to all four hypothesized fitness components. More specifically, model parameter estimates indicated that breeding site selection was most strongly influenced by proximity to pool-tail crests and deeper water (mean and maximum depths). Linkages between large wood and breeding site selection were less clear. Overall, our findings suggest that breeding site selection by coho salmon is influenced by a suite of fitness components in addition to the egg incubation environment, which has been the emphasis of much work in the past.

","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2014-0020","usgsCitation":"Clark, S.M., Dunham, J., McEnroe, J.R., and Lightcap, S.W., 2014, Breeding site selection by coho salmon (Oncorhynchus kisutch) in relation to large wood additions and factors that influence reproductive success: Canadian Journal of Fisheries and Aquatic Sciences, v. 71, no. 10, p. 1498-1507, https://doi.org/10.1139/cjfas-2014-0020.","productDescription":"10 p.","startPage":"1498","endPage":"1507","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057024","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":299201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","county":"Douglas County","otherGeospatial":"Little Wolf Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.904052734375,\n 43.09697190802465\n ],\n [\n -122.904052734375,\n 44.000717834282774\n ],\n [\n -121.431884765625,\n 44.000717834282774\n ],\n [\n -121.431884765625,\n 43.09697190802465\n ],\n [\n -122.904052734375,\n 43.09697190802465\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"71","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551bc529e4b0323842783a3c","contributors":{"authors":[{"text":"Clark, Steven M.","contributorId":7989,"corporation":false,"usgs":false,"family":"Clark","given":"Steven","email":"","middleInitial":"M.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":543678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":1808,"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":543679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McEnroe, Jeffery R.","contributorId":139990,"corporation":false,"usgs":false,"family":"McEnroe","given":"Jeffery","email":"","middleInitial":"R.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":543680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lightcap, Scott W.","contributorId":139991,"corporation":false,"usgs":false,"family":"Lightcap","given":"Scott","email":"","middleInitial":"W.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":543681,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148047,"text":"70148047 - 2014 - Where the waters meet: sharing ideas and experiences between inland and marine realms to promote sustainable fisheries management","interactions":[],"lastModifiedDate":"2018-04-24T14:21:11","indexId":"70148047","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Where the waters meet: sharing ideas and experiences between inland and marine realms to promote sustainable fisheries management","docAbstract":"

Although inland and marine environments, their fisheries, fishery managers, and the realm-specific management approaches are often different, there are a surprising number of similarities that frequently go unrecognized. We contend that there is much to be gained by greater cross-fertilization and exchange of ideas and strategies between realms and the people who manage them. The purpose of this paper is to provide examples of the potential or demonstrated benefits of working across aquatic boundaries for enhanced sustainable management of the world’s fisheries resources. Examples include the need to (1) engage in habitat management and protection as the foundation for fisheries, (2) rethink institutional arrangements and management for open-access fisheries systems, (3) establish “reference points” and harvest control rules, (4) engage in integrated management approaches, (5) reap conservation benefits from the link to fish as food, and (6) reframe conservation and management of fish to better engage the public and industry. Cross-fertilization and knowledge transfer between realms could be realized using environment-independent curricula and symposia, joint scientific advisory councils for management, integrated development projects, and cross-realm policy dialogue. Given the interdependence of marine and inland fisheries, promoting discussion between the realms has the potential to promote meaningful advances in managing global fisheries.

","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2014-0176","usgsCitation":"Cooke, S., Arlinghaus, R., Bartley, D.M., Beard, T., Cowx, I.G., Essington, T.E., Jensen, O.P., Lynch, A.J., Taylor, W., and Watson, R., 2014, Where the waters meet: sharing ideas and experiences between inland and marine realms to promote sustainable fisheries management: Canadian Journal of Fisheries and Aquatic Sciences, v. 71, no. 10, p. 1593-1601, https://doi.org/10.1139/cjfas-2014-0176.","productDescription":"9 p.","startPage":"1593","endPage":"1601","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057113","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":502517,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Where_the_waters_meet_sharing_ideas_and_experiences_between_inland_and_marine_realms_to_promote_sustainable_fisheries_management/22914563","text":"External Repository"},{"id":300421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"71","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"555718c5e4b0a92fa7e9d04b","contributors":{"authors":[{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":546941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arlinghaus, Robert","contributorId":32425,"corporation":false,"usgs":false,"family":"Arlinghaus","given":"Robert","email":"","affiliations":[{"id":17980,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":546942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartley, Devin M.","contributorId":15913,"corporation":false,"usgs":false,"family":"Bartley","given":"Devin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":546943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beard, T. Douglas Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":3314,"corporation":false,"usgs":true,"family":"Beard","given":"T. Douglas","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":546940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cowx, Ian G.","contributorId":37228,"corporation":false,"usgs":false,"family":"Cowx","given":"Ian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":546944,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Essington, Timothy E.","contributorId":95826,"corporation":false,"usgs":false,"family":"Essington","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":13190,"text":"School of Aquatic and Fishery Sciences, University of Washington","active":true,"usgs":false}],"preferred":false,"id":546945,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jensen, Olaf P.","contributorId":92159,"corporation":false,"usgs":false,"family":"Jensen","given":"Olaf","email":"","middleInitial":"P.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":546946,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lynch, Abigail J. 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":5645,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":546947,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":546948,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Watson, Reg","contributorId":89411,"corporation":false,"usgs":false,"family":"Watson","given":"Reg","email":"","affiliations":[],"preferred":false,"id":546949,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70143395,"text":"70143395 - 2014 - Mississippi River nitrate loads from high frequency sensor measurements and regression-based load estimation","interactions":[],"lastModifiedDate":"2015-03-19T09:35:13","indexId":"70143395","displayToPublicDate":"2014-10-01T00:00:00","publicationYear":"2014","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":"Mississippi River nitrate loads from high frequency sensor measurements and regression-based load estimation","docAbstract":"

Accurately quantifying nitrate (NO3–) loading from the Mississippi River is important for predicting summer hypoxia in the Gulf of Mexico and targeting nutrient reduction within the basin. Loads have historically been modeled with regression-based techniques, but recent advances with high frequency NO3– sensors allowed us to evaluate model performance relative to measured loads in the lower Mississippi River. Patterns in NO3– concentrations and loads were observed at daily to annual time steps, with considerable variability in concentration-discharge relationships over the two year study. Differences were particularly accentuated during the 2012 drought and 2013 flood, which resulted in anomalously high NO3– concentrations consistent with a large flush of stored NO3– from soil. The comparison between measured loads and modeled loads (LOADEST, Composite Method, WRTDS) showed underestimates of only 3.5% across the entire study period, but much larger differences at shorter time steps. Absolute differences in loads were typically greatest in the spring and early summer critical to Gulf hypoxia formation, with the largest differences (underestimates) for all models during the flood period of 2013. In additional to improving the accuracy and precision of monthly loads, high frequency NO3– measurements offer additional benefits not available with regression-based or other load estimation techniques.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/es504029c","usgsCitation":"Pellerin, B.A., Bergamaschi, B., Gilliom, R.J., Crawford, C.G., Saraceno, J.F., Frederick, C.P., Downing, B.D., and Murphy, J., 2014, Mississippi River nitrate loads from high frequency sensor measurements and regression-based load estimation: Environmental Science & Technology, v. 48, no. 21, p. 12612-12619, https://doi.org/10.1021/es504029c.","productDescription":"8 p.","startPage":"12612","endPage":"12619","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055261","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es504029c","text":"Publisher Index Page"},{"id":298741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","county":"Baton Rouge","otherGeospatial":"Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.23458862304688,\n 30.40485985382934\n ],\n [\n -91.23458862304688,\n 30.526779182105784\n ],\n [\n -91.15631103515625,\n 30.526779182105784\n ],\n [\n -91.15631103515625,\n 30.40485985382934\n ],\n [\n -91.23458862304688,\n 30.40485985382934\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"21","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-24","publicationStatus":"PW","scienceBaseUri":"550bf332e4b02e76d759cdf1","chorus":{"doi":"10.1021/es504029c","url":"http://dx.doi.org/10.1021/es504029c","publisher":"American Chemical Society (ACS)","authors":"Pellerin Brian A., Bergamaschi Brian A., Gilliom Robert J., Crawford Charles G., Saraceno JohnFranco, Frederick C. Paul, Downing Bryan D., Murphy Jennifer C.","journalName":"Environmental Science & Technology","publicationDate":"11/4/2014","auditedOn":"3/4/2016","publiclyAccessibleDate":"11/4/2014"},"contributors":{"authors":[{"text":"Pellerin, Brian A. bpeller@usgs.gov","contributorId":1451,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian","email":"bpeller@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":1448,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","email":"bbergama@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":542690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crawford, Charles G. 0000-0003-1653-7841 cgcrawfo@usgs.gov","orcid":"https://orcid.org/0000-0003-1653-7841","contributorId":1064,"corporation":false,"usgs":true,"family":"Crawford","given":"Charles","email":"cgcrawfo@usgs.gov","middleInitial":"G.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saraceno, John Franco 0000-0003-0064-1820 saraceno@usgs.gov","orcid":"https://orcid.org/0000-0003-0064-1820","contributorId":2328,"corporation":false,"usgs":true,"family":"Saraceno","given":"John","email":"saraceno@usgs.gov","middleInitial":"Franco","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542691,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Frederick, C. Paul 0000-0003-1762-519X pfreder@usgs.gov","orcid":"https://orcid.org/0000-0003-1762-519X","contributorId":4755,"corporation":false,"usgs":true,"family":"Frederick","given":"C.","email":"pfreder@usgs.gov","middleInitial":"Paul","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542694,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":139729,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer C.","email":"jmurphy@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542695,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}